+ {/* Action Bar - Sticky at top */}
+
+ );
+}
diff --git a/app-next/src/app/(pages)/datasets/page.tsx b/app-next/src/app/(pages)/datasets/page.tsx
new file mode 100644
index 00000000..f17e113c
--- /dev/null
+++ b/app-next/src/app/(pages)/datasets/page.tsx
@@ -0,0 +1,65 @@
+import type { Metadata } from "next";
+import { SearchContainer } from "@/components/search/search-container";
+import { Database } from "lucide-react";
+
+export const metadata: Metadata = {
+ title: "OpenML Datasets - Search Machine Learning Datasets",
+ description:
+ "Search and explore thousands of machine learning datasets on OpenML. Filter by size, features, format, and more. Free and open source datasets for your ML projects.",
+ keywords: [
+ "machine learning",
+ "datasets",
+ "ML",
+ "data science",
+ "open source",
+ "openml",
+ ],
+ openGraph: {
+ title: "OpenML Datasets",
+ description: "Search machine learning datasets on OpenML",
+ type: "website",
+ url: "https://www.openml.org/datasets",
+ },
+ alternates: {
+ canonical: "https://www.openml.org/datasets",
+ },
+};
+
+/**
+ * Datasets Search Page
+ *
+ * This page provides a searchable, filterable interface for browsing
+ * all datasets in the OpenML platform.
+ *
+ * Features:
+ * - Full-text search across dataset names and descriptions
+ * - Faceted filtering (status, license, size, features, etc.)
+ * - Multiple sort options (relevance, popularity, date, etc.)
+ * - Grid, list, and table view modes
+ * - Pagination for large result sets
+ */
+export default function DatasetsPage() {
+ return (
+
+ {/* Header Section */}
+
+
+
+
+ {/* Description and Additional Info */}
+
+
+
+ {/* Features Section */}
+ {dataset.features && dataset.features.length > 0 && (
+
+
+ )}
+
+ {/* Quality Metrics Section */}
+ {dataset.qualities && Object.keys(dataset.qualities).length > 0 && (
+
+
+ )}
+
+ {/* Footer Note */}
+
+
+ + Note: This dataset is part of the OpenML platform. + For programmatic access, use the{" "} + + OpenML API + + . For Python users, check out the{" "} + + openml-python + {" "} + package. +
+
+ {/* Page Header */}
+
+ );
+}
diff --git a/app-next/src/app/(pages)/flows/[id]/page.tsx b/app-next/src/app/(pages)/flows/[id]/page.tsx
new file mode 100644
index 00000000..8c9e0589
--- /dev/null
+++ b/app-next/src/app/(pages)/flows/[id]/page.tsx
@@ -0,0 +1,61 @@
+import type { Metadata } from "next";
+import { notFound } from "next/navigation";
+import {
+ Card,
+ CardHeader,
+ CardTitle,
+ CardDescription,
+} from "@/components/ui/card";
+import { Badge } from "@/components/ui/badge";
+
+export async function generateMetadata({
+ params,
+}: {
+ params: Promise<{ id: string }>;
+}): Promise
+
+
+ {/* Search Container */}
+
+
+
+
+
+
+ Datasets
++ Explore thousands of machine learning datasets +
+
+
+
+
+
+
+ đ§ Under Construction
+
+ Flow Detail Page
+
+ TODO: Use{" "}
+
+
+
+
+ );
+}
diff --git a/app-next/src/app/(pages)/flows/page.tsx b/app-next/src/app/(pages)/flows/page.tsx
new file mode 100644
index 00000000..8d4eb5ef
--- /dev/null
+++ b/app-next/src/app/(pages)/flows/page.tsx
@@ -0,0 +1,41 @@
+import type { Metadata } from "next";
+import Link from "next/link";
+import {
+ Card,
+ CardHeader,
+ CardTitle,
+ CardDescription,
+} from "@/components/ui/card";
+import { Badge } from "@/components/ui/badge";
+
+export const metadata: Metadata = {
+ title: "Flows | OpenML",
+ description: "Browse machine learning workflows and pipelines on OpenML.",
+};
+
+export default function FlowsPage() {
+ return (
+
+
+
+
+ Placeholder
+
+ Flow #{flowId}
+
+ useFlow({flowId})
+ {" "}
+ hook to fetch data
+
+
+
+
+ đ§ Under Construction
+
+ Flow Search Coming Soon
+
+
+ Example: View Flow #1 â
+
+
+
+
+
+ );
+}
diff --git a/app-next/src/app/(pages)/layout.tsx b/app-next/src/app/(pages)/layout.tsx
new file mode 100644
index 00000000..a1a553f0
--- /dev/null
+++ b/app-next/src/app/(pages)/layout.tsx
@@ -0,0 +1,26 @@
+"use client";
+
+import { Sidebar } from "@/components/layout/sidebar";
+import { usePathname } from "next/navigation";
+
+export default function PagesLayout({
+ children,
+}: {
+ children: React.ReactNode;
+}) {
+ const pathname = usePathname();
+ const isHomePage = pathname === "/";
+
+ return (
+
+
+
+ Flows
++ Browse and share machine learning workflows +
+
+
+ {children}
+
+
+ );
+}
diff --git a/app-next/src/app/(pages)/runs/[id]/page.tsx b/app-next/src/app/(pages)/runs/[id]/page.tsx
new file mode 100644
index 00000000..96f22ef7
--- /dev/null
+++ b/app-next/src/app/(pages)/runs/[id]/page.tsx
@@ -0,0 +1,61 @@
+import type { Metadata } from "next";
+import { notFound } from "next/navigation";
+import {
+ Card,
+ CardHeader,
+ CardTitle,
+ CardDescription,
+} from "@/components/ui/card";
+import { Badge } from "@/components/ui/badge";
+
+export async function generateMetadata({
+ params,
+}: {
+ params: Promise<{ id: string }>;
+}): Promise
+
+
+
+ đ§ Under Construction
+
+ Run Detail Page
+
+ TODO: Use{" "}
+
+
+
+
+ );
+}
diff --git a/app-next/src/app/(pages)/runs/page.tsx b/app-next/src/app/(pages)/runs/page.tsx
new file mode 100644
index 00000000..08366d94
--- /dev/null
+++ b/app-next/src/app/(pages)/runs/page.tsx
@@ -0,0 +1,41 @@
+import type { Metadata } from "next";
+import Link from "next/link";
+import {
+ Card,
+ CardHeader,
+ CardTitle,
+ CardDescription,
+} from "@/components/ui/card";
+import { Badge } from "@/components/ui/badge";
+
+export const metadata: Metadata = {
+ title: "Runs | OpenML",
+ description: "Browse machine learning experiment runs on OpenML.",
+};
+
+export default function RunsPage() {
+ return (
+
+
+
+
+ Placeholder
+
+ Run #{runId}
+
+ useRun({runId})
+ {" "}
+ hook to fetch data
+
+
+
+
+ đ§ Under Construction
+
+ Run Search Coming Soon
+
+
+ Example: View Run #1 â
+
+
+
+
+
+ );
+}
diff --git a/app-next/src/app/(pages)/tasks/[id]/page.tsx b/app-next/src/app/(pages)/tasks/[id]/page.tsx
new file mode 100644
index 00000000..7336d69a
--- /dev/null
+++ b/app-next/src/app/(pages)/tasks/[id]/page.tsx
@@ -0,0 +1,61 @@
+import type { Metadata } from "next";
+import { notFound } from "next/navigation";
+import {
+ Card,
+ CardHeader,
+ CardTitle,
+ CardDescription,
+} from "@/components/ui/card";
+import { Badge } from "@/components/ui/badge";
+
+export async function generateMetadata({
+ params,
+}: {
+ params: Promise<{ id: string }>;
+}): Promise
+
+
+ Runs
++ Browse and compare machine learning experiment results +
+
+
+
+
+ đ§ Under Construction
+
+ Task Detail Page
+
+ TODO: Use{" "}
+
+
+
+
+ );
+}
diff --git a/app-next/src/app/(pages)/tasks/page.tsx b/app-next/src/app/(pages)/tasks/page.tsx
new file mode 100644
index 00000000..ca9e7285
--- /dev/null
+++ b/app-next/src/app/(pages)/tasks/page.tsx
@@ -0,0 +1,41 @@
+import type { Metadata } from "next";
+import Link from "next/link";
+import {
+ Card,
+ CardHeader,
+ CardTitle,
+ CardDescription,
+} from "@/components/ui/card";
+import { Badge } from "@/components/ui/badge";
+
+export const metadata: Metadata = {
+ title: "Tasks | OpenML",
+ description: "Browse machine learning tasks and benchmarks on OpenML.",
+};
+
+export default function TasksPage() {
+ return (
+
+
+
+
+ Placeholder
+
+ Task #{taskId}
+
+ useTask({taskId})
+ {" "}
+ hook to fetch data
+
+
+
+
+ đ§ Under Construction
+
+ Task Search Coming Soon
+
+
+ Example: View Task #1 â
+
+
+
+
+
+ );
+}
diff --git a/app-next/src/app/favicon.ico b/app-next/src/app/favicon.ico
new file mode 100644
index 00000000..718d6fea
Binary files /dev/null and b/app-next/src/app/favicon.ico differ
diff --git a/app-next/src/app/globals.css b/app-next/src/app/globals.css
new file mode 100644
index 00000000..435115ce
--- /dev/null
+++ b/app-next/src/app/globals.css
@@ -0,0 +1,165 @@
+@import "tailwindcss";
+@import "tw-animate-css";
+
+@custom-variant dark (&:is(.dark *));
+
+@theme inline {
+ --color-background: var(--background);
+ --color-foreground: var(--foreground);
+ --font-sans: var(--font-geist-sans);
+ --font-mono: var(--font-geist-mono);
+ --color-sidebar-ring: var(--sidebar-ring);
+ --color-sidebar-border: var(--sidebar-border);
+ --color-sidebar-accent-foreground: var(--sidebar-accent-foreground);
+ --color-sidebar-accent: var(--sidebar-accent);
+ --color-sidebar-primary-foreground: var(--sidebar-primary-foreground);
+ --color-sidebar-primary: var(--sidebar-primary);
+ --color-sidebar-foreground: var(--sidebar-foreground);
+ --color-sidebar: var(--sidebar);
+ --color-chart-5: var(--chart-5);
+ --color-chart-4: var(--chart-4);
+ --color-chart-3: var(--chart-3);
+ --color-chart-2: var(--chart-2);
+ --color-chart-1: var(--chart-1);
+ --color-ring: var(--ring);
+ --color-input: var(--input);
+ --color-border: var(--border);
+ --color-destructive: var(--destructive);
+ --color-accent-foreground: var(--accent-foreground);
+ --color-accent: var(--accent);
+ --color-muted-foreground: var(--muted-foreground);
+ --color-muted: var(--muted);
+ --color-secondary-foreground: var(--secondary-foreground);
+ --color-secondary: var(--secondary);
+ --color-primary-foreground: var(--primary-foreground);
+ --color-primary: var(--primary);
+ --color-popover-foreground: var(--popover-foreground);
+ --color-popover: var(--popover);
+ --color-card-foreground: var(--card-foreground);
+ --color-card: var(--card);
+ --radius-sm: calc(var(--radius) - 4px);
+ --radius-md: calc(var(--radius) - 2px);
+ --radius-lg: var(--radius);
+ --radius-xl: calc(var(--radius) + 4px);
+}
+
+:root {
+ --radius: 0.625rem; /* Slightly more refined rounding */
+
+ /* Light Mode - Clean, professional academic palette */
+ --background: oklch(0.99 0.005 250); /* Crisp white with subtle blue tint */
+ --foreground: oklch(0.15 0.02 250); /* Deep navy for excellent readability */
+
+ --card: oklch(1 0 0); /* Pure white cards */
+ --card-foreground: oklch(0.15 0.02 250);
+
+ --popover: oklch(1 0 0);
+ --popover-foreground: oklch(0.15 0.02 250);
+
+ /* Primary - Deep navy blue, professional and trustworthy */
+ --primary: oklch(0.28 0.05 250); /* Sophisticated navy */
+ --primary-foreground: oklch(0.99 0 0); /* White */
+
+ /* Secondary - Warm gray for academic sophistication */
+ --secondary: oklch(0.96 0.005 250); /* Light gray with blue undertone */
+ --secondary-foreground: oklch(0.28 0.05 250);
+
+ /* Muted - Professional gray scale */
+ --muted: oklch(0.94 0.01 250); /* Very subtle blue tint */
+ --muted-foreground: oklch(0.45 0.02 250); /* Medium gray for secondary text */
+
+ /* Accent - Teal/blue-green for scientific appeal */
+ --accent: oklch(0.92 0.03 190); /* Fresh, clean teal accent */
+ --accent-foreground: oklch(0.28 0.05 250);
+
+ /* Destructive - Professional red for errors/warnings */
+ --destructive: oklch(0.58 0.2 25); /* Muted but clear red */
+
+ /* Borders - Subtle and refined */
+ --border: oklch(0.88 0.015 250); /* Very light blue-gray */
+ --input: oklch(0.95 0.01 250);
+ --ring: oklch(0.28 0.05 250); /* Match primary */
+
+ /* Charts - Scientific color palette (colorblind friendly) */
+ --chart-1: oklch(0.55 0.12 250); /* Navy */
+ --chart-2: oklch(0.6 0.15 190); /* Teal */
+ --chart-3: oklch(0.55 0.18 320); /* Purple */
+ --chart-4: oklch(0.65 0.16 80); /* Olive green */
+ --chart-5: oklch(0.58 0.14 30); /* Rust/orange */
+
+ /* Sidebar - Clean and distinct */
+ --sidebar: oklch(0.98 0.008 250); /* Slightly tinted white */
+ --sidebar-foreground: oklch(0.15 0.02 250);
+ --sidebar-primary: oklch(0.28 0.05 250);
+ --sidebar-primary-foreground: oklch(0.99 0 0);
+ --sidebar-accent: oklch(0.94 0.01 250);
+ --sidebar-accent-foreground: oklch(0.28 0.05 250);
+ --sidebar-border: oklch(0.88 0.015 250);
+ --sidebar-ring: oklch(0.55 0.08 250);
+}
+
+.dark {
+ /* Dark Mode - Professional dark theme for research */
+ --background: oklch(0.12 0.02 250); /* Deep navy-black */
+ --foreground: oklch(0.98 0.005 250); /* Soft white */
+
+ /* Cards with subtle depth */
+ --card: oklch(0.16 0.03 250); /* Slightly lighter than background */
+ --card-foreground: oklch(0.98 0.005 250);
+
+ --popover: oklch(0.16 0.03 250);
+ --popover-foreground: oklch(0.98 0.005 250);
+
+ /* Primary - Bright but professional blue */
+ --primary: oklch(0.75 0.12 250); /* Clear, readable blue */
+ --primary-foreground: oklch(0.12 0.02 250); /* Dark background */
+
+ /* Secondary - Medium dark gray */
+ --secondary: oklch(0.2 0.03 250);
+ --secondary-foreground: oklch(0.98 0.005 250);
+
+ /* Muted - Professional dark grays */
+ --muted: oklch(0.2 0.03 250);
+ --muted-foreground: oklch(0.65 0.03 250); /* Medium gray text */
+
+ /* Accent - Teal that works well in dark mode */
+ --accent: oklch(0.3 0.08 190);
+ --accent-foreground: oklch(0.98 0.005 250);
+
+ /* Destructive - Clear but not overwhelming */
+ --destructive: oklch(0.65 0.18 25);
+
+ /* Borders - Defined but subtle */
+ --border: oklch(0.25 0.04 250);
+ --input: oklch(0.2 0.03 250);
+ --ring: oklch(0.75 0.12 250); /* Match primary */
+
+ /* Charts - Optimized for dark background */
+ --chart-1: oklch(0.7 0.15 250); /* Bright navy */
+ --chart-2: oklch(0.75 0.18 190); /* Bright teal */
+ --chart-3: oklch(0.72 0.2 320); /* Bright purple */
+ --chart-4: oklch(0.78 0.16 80); /* Bright olive */
+ --chart-5: oklch(0.68 0.14 30); /* Bright rust */
+
+ /* Sidebar */
+ --sidebar: oklch(0.14 0.025 250);
+ --sidebar-foreground: oklch(0.98 0.005 250);
+ --sidebar-primary: oklch(0.75 0.12 250);
+ --sidebar-primary-foreground: oklch(0.12 0.02 250);
+ --sidebar-accent: oklch(0.2 0.03 250);
+ --sidebar-accent-foreground: oklch(0.98 0.005 250);
+ --sidebar-border: oklch(0.25 0.04 250);
+ --sidebar-ring: oklch(0.65 0.08 250);
+}
+
+@layer base {
+ * {
+ @apply border-border outline-ring/50;
+ }
+ body {
+ @apply bg-background text-foreground;
+ font-feature-settings:
+ "rlig" 1,
+ "calt" 1;
+ }
+}
diff --git a/app-next/src/app/layout.tsx b/app-next/src/app/layout.tsx
new file mode 100644
index 00000000..9ef2f6c1
--- /dev/null
+++ b/app-next/src/app/layout.tsx
@@ -0,0 +1,61 @@
+import type { Metadata } from "next";
+import { Inter } from "next/font/google";
+import "./globals.css";
+import { QueryProvider } from "@/components/providers";
+import { ThemeProvider } from "@/components/theme-provider";
+import { Header } from "@/components/layout/header";
+import { Footer } from "@/components/layout/footer";
+
+const inter = Inter({
+ variable: "--font-inter",
+ subsets: ["latin"],
+ display: "swap",
+});
+
+export const metadata: Metadata = {
+ title: "OpenML - Open Machine Learning Platform",
+ description:
+ "OpenML is an open platform for sharing datasets, algorithms, and experiments to build a global machine learning repository.",
+ keywords: [
+ "machine learning",
+ "datasets",
+ "algorithms",
+ "benchmarks",
+ "reproducible research",
+ "AI",
+ "open science",
+ ],
+ authors: [{ name: "OpenML Community" }],
+ openGraph: {
+ title: "OpenML - Open Machine Learning Platform",
+ description:
+ "Share datasets, algorithms, and experiments to build a global machine learning repository.",
+ type: "website",
+ locale: "en_US",
+ },
+};
+
+export default function RootLayout({
+ children,
+}: Readonly<{
+ children: React.ReactNode;
+}>) {
+ return (
+
+
+
+
+
+ Tasks
++ Browse and compare standardized machine learning tasks +
+
+
+
+
+ {/* Global styles */}
+
+
+ );
+};
diff --git a/app-next/src/components/dataset/dataset-action-bar.tsx b/app-next/src/components/dataset/dataset-action-bar.tsx
new file mode 100644
index 00000000..0d8414e2
--- /dev/null
+++ b/app-next/src/components/dataset/dataset-action-bar.tsx
@@ -0,0 +1,114 @@
+"use client";
+
+import { Download, Code, FileJson, Edit, Croissant } from "lucide-react";
+import { Button } from "@/components/ui/button";
+import {
+ Tooltip,
+ TooltipContent,
+ TooltipProvider,
+ TooltipTrigger,
+} from "@/components/ui/tooltip";
+import type { Dataset } from "@/types/dataset";
+
+interface DatasetActionBarProps {
+ dataset: Dataset;
+ isLoggedIn?: boolean;
+}
+
+/**
+ * DatasetActionBar Component
+ *
+ * Provides action buttons for downloading, accessing APIs, and editing.
+ * This is a Client Component for interactivity.
+ */
+export function DatasetActionBar({
+ dataset,
+ isLoggedIn = false,
+}: DatasetActionBarProps) {
+ const croissantUrl = `https://www.openml.org/croissant/dataset/${dataset.data_id}`;
+ const xmlUrl = `https://www.openml.org/api/v1/data/${dataset.data_id}`;
+ const jsonUrl = `https://www.openml.org/api/v1/json/data/${dataset.data_id}`;
+ const editUrl = isLoggedIn
+ ? `/auth/data-edit?id=${dataset.data_id}`
+ : "/auth/sign-in";
+
+ const actions = [
+ {
+ label: "Croissant Metadata",
+ description: "Download dataset metadata in Croissant format",
+ icon: Croissant,
+ href: croissantUrl,
+ variant: "default" as const,
+ },
+ {
+ label: "XML",
+ description: "Access dataset metadata via XML API",
+ icon: Code,
+ href: xmlUrl,
+ variant: "outline" as const,
+ },
+ {
+ label: "JSON",
+ description: "Access dataset metadata via JSON API",
+ icon: FileJson,
+ href: jsonUrl,
+ variant: "outline" as const,
+ },
+ {
+ label: "Download Data",
+ description: "Download the dataset file",
+ icon: Download,
+ href: dataset.url,
+ variant: "outline" as const,
+ },
+ {
+ label: "Edit",
+ description: isLoggedIn
+ ? "Edit dataset metadata"
+ : "Sign in to edit dataset",
+ icon: Edit,
+ href: editUrl,
+ variant: "outline" as const,
+ },
+ ];
+
+ return (
+
+ {/* Left Column - Text */}
+
+
+
+
+ {/* Right Column - Image with exact aspect ratio */}
+ {/* Right Column - Image */}
+
+ Version 3.0 is here
+
+
+ + + The Global Lab + + for Machine Learning Research +
++ Machine learning research should be easily accessible, reusable, + and reproducible. OpenML is a collaborative environment for + sharing, organizing, and building upon datasets, algorithms, and + experiments. +
+ +
+
+
+ {/*
+
+
+
+
+ 
+ 
+ 
+
+
+
+
+
+ {[...Array(5)].map((_, i) => (
+
+ ))}
+
+ 4.9/5 (2k+ reviews)
+
+
+
+ {/* Image with fixed aspect ratio */}
+
+
+
+
+
+
+
+
+ {/* Badge now positioned from the bottom of the IMAGE container */}
+
+
+
+
+
+
+
+
+
+
+
+ + machine learning should be set free +
++9999%
+
+
+
+
+ );
+}
diff --git a/app-next/src/components/dataset/dataset-description.tsx b/app-next/src/components/dataset/dataset-description.tsx
new file mode 100644
index 00000000..ef5908a6
--- /dev/null
+++ b/app-next/src/components/dataset/dataset-description.tsx
@@ -0,0 +1,134 @@
+import {
+ Card,
+ CardContent,
+ CardDescription,
+ CardHeader,
+ CardTitle,
+} from "@/components/ui/card";
+import { Badge } from "@/components/ui/badge";
+import { Tag as TagIcon } from "lucide-react";
+import type { Dataset } from "@/types/dataset";
+import ReactMarkdown from "react-markdown";
+
+interface DatasetDescriptionProps {
+ dataset: Dataset;
+}
+
+/**
+ * DatasetDescription Component
+ *
+ * Displays the dataset description with markdown rendering and tags.
+ * Server Component for optimal performance.
+ */
+export function DatasetDescription({ dataset }: DatasetDescriptionProps) {
+ return (
+
+
+ Actions:
+
+ {actions.map((action) => (
+
+
+
+
+
+
+
+ ))}
+
+ {action.description}
+
+ {/* Description Card */}
+
+
+ Description
+
+ Detailed information about this dataset
+
+
+
+
+
+
+ {/* Tags */}
+ {dataset.tags && dataset.tags.length > 0 && (
+
+
+
+
+
+ Keywords and categories for this dataset
+
+
+
+
+
+ )}
+
+ {/* Citation (if available) */}
+ {dataset.citation && (
+
+
+ Citation
+
+ How to cite this dataset in academic work
+
+
+
+
+
+ )}
+
+ {/* Additional Information */}
+ {(dataset.creator || dataset.paper_url || dataset.original_data_url) && (
+
+
+ Additional Information
+
+
+ {dataset.creator && (
+
+
+ )}
+
+ );
+}
diff --git a/app-next/src/components/dataset/dataset-header.tsx b/app-next/src/components/dataset/dataset-header.tsx
new file mode 100644
index 00000000..01dcf440
--- /dev/null
+++ b/app-next/src/components/dataset/dataset-header.tsx
@@ -0,0 +1,116 @@
+import { Database } from "lucide-react";
+import { Badge } from "@/components/ui/badge";
+import type { Dataset } from "@/types/dataset";
+
+interface DatasetHeaderProps {
+ dataset: Dataset;
+}
+
+/**
+ * DatasetHeader Component
+ *
+ * Displays the dataset name, status, and key identifiers.
+ * This is a Server Component for optimal performance.
+ */
+export function DatasetHeader({ dataset }: DatasetHeaderProps) {
+ // Determine status badge variant and label
+ const getStatusConfig = (status: Dataset["status"]) => {
+ switch (status) {
+ case "active":
+ return {
+ variant: "default" as const,
+ label: "Verified",
+ className:
+ "bg-green-500/10 text-green-700 dark:text-green-400 border-green-500/20",
+ };
+ case "deactivated":
+ return {
+ variant: "destructive" as const,
+ label: "Deprecated",
+ className:
+ "bg-red-500/10 text-red-700 dark:text-red-400 border-red-500/20",
+ };
+ case "in_preparation":
+ return {
+ variant: "secondary" as const,
+ label: "In Preparation",
+ className:
+ "bg-orange-500/10 text-orange-700 dark:text-orange-400 border-orange-500/20",
+ };
+ }
+ };
+
+ const statusConfig = getStatusConfig(dataset.status);
+
+ return (
+
+ {dataset.description}
+
+
+ {dataset.tags.map((tagObj, index) => (
+
+ {tagObj.tag}
+
+ ))}
+
+
+
+ {dataset.citation}
+
+
+ )}
+
+ {dataset.paper_url && (
+ Creator
++ {dataset.creator} +
+
+
+ )}
+
+ {dataset.original_data_url && (
+ Related Paper
+ + {dataset.paper_url} + +
+
+ )}
+ Original Data Source
+ + {dataset.original_data_url} + +
+ {/* Title and Status */}
+
+ );
+}
diff --git a/app-next/src/components/dataset/dataset-metadata-grid.tsx b/app-next/src/components/dataset/dataset-metadata-grid.tsx
new file mode 100644
index 00000000..f9a98a1b
--- /dev/null
+++ b/app-next/src/components/dataset/dataset-metadata-grid.tsx
@@ -0,0 +1,245 @@
+import {
+ Calendar,
+ User,
+ FileType,
+ Shield,
+ Heart,
+ Download,
+ AlertCircle,
+ Hash,
+ GitBranch,
+ CheckCircle,
+ XCircle,
+ Clock,
+} from "lucide-react";
+import {
+ Card,
+ CardContent,
+ CardDescription,
+ CardHeader,
+ CardTitle,
+} from "@/components/ui/card";
+import { Badge } from "@/components/ui/badge";
+import { Avatar, AvatarFallback } from "@/components/ui/avatar";
+import type { Dataset } from "@/types/dataset";
+import Link from "next/link";
+
+interface DatasetMetadataGridProps {
+ dataset: Dataset;
+}
+
+/**
+ * DatasetMetadataGrid Component
+ *
+ * Displays dataset metadata in organized cards.
+ * Server Component for optimal performance.
+ */
+export function DatasetMetadataGrid({ dataset }: DatasetMetadataGridProps) {
+ // Format date for display
+ const formatDate = (dateString: string) => {
+ try {
+ return new Date(dateString).toLocaleDateString("en-US", {
+ year: "numeric",
+ month: "long",
+ day: "numeric",
+ });
+ } catch {
+ return dateString.split(" ")[0];
+ }
+ };
+
+ // Get status icon and color
+ const getStatusIcon = () => {
+ switch (dataset.status) {
+ case "active":
+ return
+
+
+ {/* Quick Stats */}
+
+
+
+
+
+ + {dataset.name} +
+
+
+ {statusConfig.label}
+
+
+
+ v{dataset.version}
+
+
+
+ ID: {dataset.data_id}
+
+
+
+ {dataset.qualities?.NumberOfInstances !== undefined && (
+
+
+
+ {dataset.qualities.NumberOfInstances.toLocaleString()}
+
+ instances
+
+ )}
+
+ {dataset.qualities?.NumberOfFeatures !== undefined && (
+
+
+ {dataset.qualities.NumberOfFeatures.toLocaleString()}
+
+ features
+
+ )}
+
+ {dataset.qualities?.NumberOfclassNamees !== undefined && (
+
+
+ {dataset.qualities.NumberOfclassNamees.toLocaleString()}
+
+ classNamees
+
+ )}
+
+ {dataset.qualities?.NumberOfMissingValues !== undefined && (
+
+
+ {dataset.qualities.NumberOfMissingValues.toLocaleString()}
+
+ missing values
+
+ )}
+
+ {/* Identity Card */}
+
+
+ Identity
+ Dataset identification and format
+
+
+
+
+
+ {/* Provenance Card */}
+
+
+ Provenance
+ Uploader and status information
+
+
+
+
+
+ {/* Statistics Card */}
+
+
+ Statistics
+ Dataset characteristics
+
+
+ {dataset.qualities?.NumberOfInstances !== undefined && (
+
+
+
+ );
+}
diff --git a/app-next/src/components/dataset/feature-table.tsx b/app-next/src/components/dataset/feature-table.tsx
new file mode 100644
index 00000000..941b37d5
--- /dev/null
+++ b/app-next/src/components/dataset/feature-table.tsx
@@ -0,0 +1,182 @@
+"use client";
+
+import { useState } from "react";
+import {
+ Card,
+ CardContent,
+ CardDescription,
+ CardHeader,
+ CardTitle,
+} from "@/components/ui/card";
+import {
+ Table,
+ TableBody,
+ TableCell,
+ TableHead,
+ TableHeader,
+ TableRow,
+} from "@/components/ui/table";
+import { Badge } from "@/components/ui/badge";
+import type { DatasetFeature } from "@/types/dataset";
+
+interface FeatureTableProps {
+ features: DatasetFeature[];
+}
+
+/**
+ * FeatureTable Component
+ *
+ * Displays dataset features with their types, distributions, and statistics.
+ * Client Component for interactive sorting and filtering.
+ */
+export function FeatureTable({ features }: FeatureTableProps) {
+ const [sortField, setSortField] = useState
+
+
+
+
+ Dataset ID
++ {dataset.data_id} +
+
+
+
+
+
+ Version
++ v{dataset.version} +
+
+
+
+
+
+ Format
+{dataset.format}
+
+
+
+
+
+ License
+{dataset.licence}
+
+
+
+
+ Upload Date
++ {formatDate(dataset.date)} +
+
+
+
+ {dataset.uploader?.charAt(0)?.toUpperCase() || "?"}
+
+
+
+
+
+
+ Uploader
+ + {dataset.uploader} + +
+ {getStatusIcon()}
+
+
+
+
+ Status
++ {dataset.status === "active" + ? "Verified" + : dataset.status.replace("_", " ")} +
+
+
+
+
+
+ Likes
++ {dataset.nr_of_likes.toLocaleString()} +
+
+
+
+
+
+ Downloads
++ {dataset.nr_of_downloads.toLocaleString()} +
+
+
+
+
+ Issues
++ {dataset.nr_of_issues.toLocaleString()} +
+
+
+ )}
+
+ {dataset.qualities?.NumberOfFeatures !== undefined && (
+ Instances
++ {dataset.qualities.NumberOfInstances.toLocaleString()} +
+
+
+ )}
+
+ {dataset.qualities?.NumberOfclassNamees !== undefined && (
+ Features
++ {dataset.qualities.NumberOfFeatures.toLocaleString()} +
+
+
+ )}
+
+ {dataset.qualities?.NumberOfMissingValues !== undefined && (
+ classNamees
++ {dataset.qualities.NumberOfclassNamees.toLocaleString()} +
+
+
+ )}
+
+ {dataset.qualities?.NumberOfNumericFeatures !== undefined && (
+ Missing Values
++ {dataset.qualities.NumberOfMissingValues.toLocaleString()} +
+
+
+ )}
+ + Numeric Features +
++ {dataset.qualities.NumberOfNumericFeatures.toLocaleString()} +
+
+
+
+
+
+
+
+ {/* Results count */}
+ {searchTerm && (
+ + Showing {filteredQualities.length} of {totalQualities} metrics +
+ )} + + {/* Table */} +
+
+
+
+
+
+ {user.name}
+{user.email}
+
+ {notification.unread && (
+
+ )}
+
+
+
+ {notification.title}
++ {notification.description} +
++ {notification.time} +
+
+
+
+ + reproducible benchmarks +
++ Standardized tasks and benchmarking suites for fair model comparison +
+
+ {/* Tests */}
+
+
+ tests
+
+
+
+
+
+ {/* Benchmarking Suites */}
+
+
+ benchmarking suites
+
+
+
+
+
+ + Standardized machine learning tasks with predefined train/test + splits and evaluation measures +
+ + View Tasks â + ++ Curated collections of tasks for comprehensive algorithm + evaluation across multiple datasets +
+ + Browse Suites â + +
+
+
+ downloads
++ Get data in multiple formats and share your work +
+
+ {/* Website Download */}
+
+
+ website
+
+ Download datasets directly from the web interface in various
+ formats
+
+
+
+
+
+
+
+ {/* Code Download */}
+
+
+ code
+
+ Use our Python, R, or Java APIs to programmatically download data
+
+
+
+
+
+
+
+ {/* Share/Organize */}
+
+
+ share/organize
+
+ Create collections and share your datasets with the community
+
+
+
+
+
+
+
+
+
+
+ + explore datasets +
++ Access OpenML data through the website or your favorite programming + language +
+
+ {/* Website Option */}
+
+
+ website
+
+
+
+
+
+ {/* Code Option */}
+
+
+ code
+
+
+
+
+
+ + Browse and search datasets through our intuitive web interface +
+ + Browse Datasets â + ++ Use our APIs and client libraries in your preferred language +
+
+ {languages.map((lang) => (
+
+
+ {lang.icon} {lang.name}
+
+
+ ))}
+
+
+
+
+ Frictionless ML
++ Seamlessly integrate OpenML into your ML workflow +
+
+ {/* Import Data */}
+
+
+
+ import data in libraries to build models quick!
+
+
+
+
+
+
+ {/* Export Models & Experiments */}
+
+
+
+ exporting models & experiments analysis
+
+
+
+
+
+
+ + Load datasets directly into your favorite ML libraries with a + single line of code +
+ + Get Started â + +
+
+ + Compatible with: +
+
+ scikit-learn
+ PyTorch
+ TensorFlow
+ XGBoost
+
+ + Share your workflows, runs, and evaluation results with the + community +
+
+
+ â flows{" "}
+
+ (workflows)
+
+
+
+ â runs{" "}
+
+ (experiments)
+
+
+
+ â measures{" "}
+
+ (metrics)
+
+
+
+
+ {/* Gradient Background (RunPod style) */}
+
+
+
+
+ );
+}
diff --git a/app-next/src/components/layout/footer.tsx b/app-next/src/components/layout/footer.tsx
new file mode 100644
index 00000000..522f1ffb
--- /dev/null
+++ b/app-next/src/components/layout/footer.tsx
@@ -0,0 +1,150 @@
+import Link from "next/link";
+
+/**
+ * Footer Component - Server Component
+ * Site footer with links and copyright information
+ */
+export function Footer() {
+ const currentYear = new Date().getFullYear();
+
+ return (
+
+ );
+}
diff --git a/app-next/src/components/layout/header.tsx b/app-next/src/components/layout/header.tsx
new file mode 100644
index 00000000..eceac235
--- /dev/null
+++ b/app-next/src/components/layout/header.tsx
@@ -0,0 +1,105 @@
+import Link from "next/link";
+import Image from "next/image";
+import { BookOpen, Plus } from "lucide-react";
+import { Button } from "@/components/ui/button";
+import { ThemeToggle } from "@/components/theme-toggle";
+import { SearchBar } from "@/components/header/search-bar";
+import { LanguageSwitcher } from "@/components/header/language-switcher";
+import { NotificationsBell } from "@/components/header/notifications-bell";
+import { AccountMenu } from "@/components/header/account-menu";
+
+export function Header() {
+ return (
+
+ {/* Main Heading */}
+
+
+
+
+ {/* Three Main CTAs - From User's Diagram */}
+ + openML +
++ Open platform for sharing datasets, algorithms, and experiments to + build a global machine learning repository +
+
+ {/* Get the Data */}
+
+
+ Get the Data
+
+ Access thousands of datasets ready for machine learning
+ experiments
+
+
+
+
+
+
+
+ {/* Reproducible benchmarks */}
+
+
+
+ Reproducible benchmarks
+
+
+ Run standardized benchmarks and compare results with the
+ community
+
+
+
+
+
+
+
+ {/* Frictionless ML */}
+
+
+ Frictionless ML
+
+ Import data, build models, and share experiments with minimal
+ friction
+
+
+
+
+
+
+
+
+ đ
+
+
+ đ¯
+
+
+ âĄ
+
+
+
+
+ {/* Logo - Left */}
+
+
+
+ {/* Mobile Search - Below header on small screens */}
+
+
+
+ {/* Action Icons - Right */}
+
+ {/* Documentation */}
+
+
+ {/* Language Switcher */}
+
+
+
+
+ {/* Create Button */}
+
+
+ {/* Theme Toggle */}
+
+
+
+ {/* Account Menu */}
+
+
+ {children}
+
+ {/* Logo Header */}
+
+
+
+
+ );
+}
+
+function SidebarItem({ item, pathname }: { item: NavItem; pathname: string }) {
+ const [isOpen, setIsOpen] = useState(false);
+ const isActive =
+ pathname === item.href || pathname.startsWith(item.href + "/");
+ const hasChildren = item.children && item.children.length > 0;
+
+ if (hasChildren) {
+ return (
+
+
+
+
+ {/* Navigation */}
+
+ {navItems.map((section) => (
+
+
+
+ ))}
+ + {section.title} +
+
+ {section.items.map((item) => (
+
+
+
+ {isOpen && (
+
+ );
+ }
+
+ return (
+
+ );
+}
diff --git a/app-next/src/components/providers.tsx b/app-next/src/components/providers.tsx
new file mode 100644
index 00000000..0afc38e6
--- /dev/null
+++ b/app-next/src/components/providers.tsx
@@ -0,0 +1,27 @@
+"use client";
+
+import { QueryClient, QueryClientProvider } from "@tanstack/react-query";
+import { useState, type ReactNode } from "react";
+
+/**
+ * React Query Provider wrapper
+ * This component wraps the app with React Query context for data fetching
+ */
+export function QueryProvider({ children }: { children: ReactNode }) {
+ const [queryClient] = useState(
+ () =>
+ new QueryClient({
+ defaultOptions: {
+ queries: {
+ staleTime: 60 * 1000, // 1 minute
+ refetchOnWindowFocus: false,
+ retry: 1,
+ },
+ },
+ }),
+ );
+
+ return (
+
+ {item.children?.map((child) => (
+
+ )}
+
+ {/* Left side: Sort and View Toggle */}
+
+ );
+}
diff --git a/app-next/src/components/search/filter-bar.tsx b/app-next/src/components/search/filter-bar.tsx
new file mode 100644
index 00000000..78169283
--- /dev/null
+++ b/app-next/src/components/search/filter-bar.tsx
@@ -0,0 +1,201 @@
+"use client";
+
+import * as React from "react";
+import { Facet } from "@elastic/react-search-ui";
+import { ChevronDown, Check } from "lucide-react";
+import { cn } from "@/lib/utils";
+import { Button } from "@/components/ui/button";
+import {
+ Popover,
+ PopoverContent,
+ PopoverTrigger,
+} from "@/components/ui/popover";
+import {
+ Command,
+ CommandEmpty,
+ CommandGroup,
+ CommandInput,
+ CommandItem,
+ CommandList,
+ CommandSeparator,
+} from "@/components/ui/command";
+import { Badge } from "@/components/ui/badge";
+import { Separator } from "@/components/ui/separator";
+
+/**
+ * Filter Bar Component - Dropdown Style
+ *
+ * Features:
+ * - Dropdown menus for each facet (Status, License, etc.)
+ * - Multi-select support with checkboxes
+ * - Searchable options within dropdowns
+ * - Active filter indicators
+ * - Smart label formatting
+ */
+
+interface FilterBarProps {
+ facets: Array<{
+ label: string;
+ field: string;
+ }>;
+}
+
+/**
+ * Format facet value for display
+ */
+function formatFacetValue(value: string, field: string): string {
+ if (field === "status.keyword") {
+ switch (value) {
+ case "active":
+ return "Verified";
+ case "deactivated":
+ return "Deactivated";
+ case "in_preparation":
+ return "In Preparation";
+ default:
+ return value;
+ }
+ }
+ return value;
+}
+
+export function FilterBar({ facets }: FilterBarProps) {
+ return (
+
+ {/* Sort Dropdown */}
+ {
+ // value can be a string or an array of sort objects
+ const currentField =
+ Array.isArray(value) && value.length > 0
+ ? value[0]?.field
+ : "relevance";
+
+ return (
+ value && onViewChange?.(value)}
+ className="border"
+ >
+
+
+
+
+
+
+
+
+
+ {/* Right side: Results per page and Pagination info */}
+
+ Sort by:
+
+
+ );
+ }}
+ />
+
+ {/* View Toggle */}
+
+ {/* Results Per Page */}
+ (
+ (
+
+
+ Show:
+
+
+ )}
+ />
+
+ {/* Pagination Info */}
+
+ Showing{" "}
+ {start} -{" "}
+ {end} of{" "}
+
+ {totalResults?.toLocaleString()}
+ {" "}
+ results
+
+ )}
+ />
+
+
+ Filters:
+
+ {facets.map((facet) => (
+ {
+ const selectedValues = new Set(values);
+ const hasActiveFilters = selectedValues.size > 0;
+
+ return (
+
+
+
+
+
+
+
+ No results found.
+
+ {options.map((option) => {
+ const isSelected = selectedValues.has(option.value);
+ const valueStr = String(option.value);
+ return (
+ {
+ if (isSelected) {
+ onRemove(option.value as any);
+ } else {
+ onSelect(option.value as any);
+ }
+ }}
+ >
+
+ );
+ })}
+
+ {hasActiveFilters && (
+ <>
+
+ {
+ values.forEach((v: any) => onRemove(v));
+ }}
+ className="justify-center text-center"
+ >
+ Clear filters
+
+
+
+ )}
+
+
+
+
+ );
+ }}
+ />
+ ))}
+
+ );
+}
diff --git a/app-next/src/components/search/results-table.tsx b/app-next/src/components/search/results-table.tsx
new file mode 100644
index 00000000..30bad0d4
--- /dev/null
+++ b/app-next/src/components/search/results-table.tsx
@@ -0,0 +1,167 @@
+"use client";
+
+import Link from "next/link";
+import { ArrowUpDown, ArrowUp, ArrowDown } from "lucide-react";
+import { Sorting } from "@elastic/react-search-ui";
+import {
+ Table,
+ TableBody,
+ TableCell,
+ TableHead,
+ TableHeader,
+ TableRow,
+} from "@/components/ui/table";
+
+/**
+ * Results Table Component - Sortable Columns
+ *
+ * TERMINOLOGY:
+ * - "Sortable column": Column header that can be clicked to sort
+ * - "Sort indicator": Icon showing sort direction (â ascending, â descending)
+ * - "Sort state": Current sort field and direction
+ *
+ * URL FORMAT (Backward Compatible):
+ * Current: /datasets?sort[0][field]=runs&sort[0][direction]=desc
+ * Future: /datasets?sortField=runs&sortDirection=desc (simpler, for SEO)
+ *
+ * Features:
+ * - Clickable column headers
+ * - Visual sort indicators
+ * - URL synchronization for sort state
+ */
+
+interface Result {
+ id?: { raw: string };
+ data_id?: { raw: string };
+ name?: { raw: string; snippet?: string };
+ status?: { raw: string };
+ version?: { raw: string };
+ creator?: { raw: string };
+ date?: { raw: string };
+ nr_of_likes?: { raw: number };
+ nr_of_downloads?: { raw: number };
+ runs?: { raw: number };
+}
+
+interface ResultsTableProps {
+ result?: Result; // Single result (not used in table view)
+ results?: Result[]; // Array of results
+}
+
+// Sortable columns configuration
+const sortableColumns = [
+ { field: "data_id", label: "ID", width: "w-20" },
+ { field: "name", label: "Name", width: "w-64" },
+ { field: "status", label: "Status", width: "w-32" },
+ { field: "version", label: "Version", width: "w-24" },
+ { field: "creator", label: "Creator", width: "w-40" },
+ { field: "date", label: "Date", width: "w-32" },
+ { field: "nr_of_likes", label: "Likes", width: "w-20" },
+ { field: "nr_of_downloads", label: "Downloads", width: "w-28" },
+ { field: "runs", label: "Runs", width: "w-20" },
+];
+
+export function ResultsTable({ results }: ResultsTableProps) {
+ if (!results || results.length === 0) {
+ return (
+
+
+
+ {formatFacetValue(valueStr, facet.field)}
+
+
+ {option.count.toLocaleString()}
+
+
+ No results found
+
+ );
+ }
+
+ return (
+
+
+
+
+ );
+ }}
+ />
+ );
+}
diff --git a/app-next/src/components/search/search-config.ts b/app-next/src/components/search/search-config.ts
new file mode 100644
index 00000000..b3a876de
--- /dev/null
+++ b/app-next/src/components/search/search-config.ts
@@ -0,0 +1,100 @@
+import OpenMLSearchConnector from "@/services/OpenMLSearchConnector";
+
+const apiConnector = new OpenMLSearchConnector("data");
+
+/**
+ * Dataset Search Configuration
+ *
+ * URL FORMAT (Backward Compatible):
+ * - Sort: /datasets?sort[0][field]=runs&sort[0][direction]=desc
+ * - Filters: /datasets?status=active&license=Public
+ *
+ * Future SEO-friendly format (commented for future migration):
+ * - Sort: /datasets?sortField=runs&sortDirection=desc
+ * - Filters: Same as current
+ */
+
+const dataConfig = {
+ apiConnector: apiConnector,
+ alwaysSearchOnInitialLoad: true,
+ trackUrlState: true,
+ urlPushDebounceLength: 500,
+ searchQuery: {
+ resultsPerPage: 20,
+ search_fields: {
+ name: { weight: 3 },
+ exact_name: { weight: 3 },
+ description: { weight: 3 },
+ "tags.tag": { weight: 3 },
+ uploader: { weight: 2 },
+ format: { weight: 1 },
+ licence: { weight: 1 },
+ status: { weight: 1 },
+ },
+ result_fields: {
+ contributor: { raw: {} },
+ creator: { raw: {} },
+ data_id: { raw: {} },
+ date: { raw: {} },
+ name: { snippet: { size: 100, fallback: true } },
+ format: { raw: {} },
+ description: { snippet: { size: 100, fallback: true } },
+ "qualities.NumberOfInstances": { raw: {} },
+ "qualities.NumberOfFeatures": { raw: {} },
+ "qualities.NumberOfclassNamees": { raw: {} },
+ licence: { raw: {} },
+ nr_of_likes: { raw: {} },
+ nr_of_downloads: { raw: {} },
+ runs: { raw: {} },
+ status: { raw: {} },
+ version: { raw: {} },
+ },
+ disjunctiveFacets: [
+ "status",
+ "licence",
+ "qualities.NumberOfInstances",
+ "qualities.NumberOfFeatures",
+ "qualities.NumberOfclassNamees",
+ "format",
+ ],
+ facets: {
+ "status.keyword": { type: "value", size: 30 },
+ "licence.keyword": { type: "value", size: 30 },
+ "qualities.NumberOfInstances": {
+ type: "range",
+ ranges: [
+ { from: 0, to: 999, name: "100s" },
+ { from: 1000, to: 9999, name: "1000s" },
+ { from: 10000, to: 99999, name: "10000s" },
+ { from: 100000, to: 999999, name: "100000s" },
+ { from: 1000000, name: "Millions" },
+ ],
+ },
+ "qualities.NumberOfFeatures": {
+ type: "range",
+ ranges: [
+ { from: 0, to: 10, name: "Less than 10" },
+ { from: 10, to: 100, name: "10s" },
+ { from: 100, to: 1000, name: "100s" },
+ { from: 1000, to: 10000, name: "1000s" },
+ { from: 10000, name: "10000s" },
+ ],
+ },
+ "qualities.NumberOfclassNamees": {
+ type: "range",
+ ranges: [
+ { from: 0, to: 2, name: "Regression" },
+ { from: 2, to: 2, name: "Binary classNameification" },
+ { from: 2, name: "Multi-className" },
+ ],
+ },
+ format: { type: "value", size: 30 },
+ },
+ },
+ initialState: {
+ resultsPerPage: 20,
+ sortList: [{ field: "runs", direction: "desc" }],
+ },
+};
+
+export default dataConfig;
diff --git a/app-next/src/components/search/search-container.tsx b/app-next/src/components/search/search-container.tsx
new file mode 100644
index 00000000..cb8b3432
--- /dev/null
+++ b/app-next/src/components/search/search-container.tsx
@@ -0,0 +1,160 @@
+"use client";
+
+import { useState } from "react";
+import {
+ SearchProvider,
+ WithSearch,
+ Results,
+ Paging,
+} from "@elastic/react-search-ui";
+import dataConfig from "./search-config";
+import { ResultsTable } from "./results-table";
+import { FilterBar } from "./filter-bar";
+import { ControlsBar } from "./controls-bar";
+
+// Facet configuration matching old app
+const searchFacets = [
+ { label: "Status", field: "status.keyword" },
+ { label: "License", field: "licence.keyword" },
+ { label: "Size", field: "qualities.NumberOfInstances" },
+ { label: "Features", field: "qualities.NumberOfFeatures" },
+ { label: "Task Type", field: "qualities.NumberOfclassNamees" },
+ { label: "Format", field: "format" },
+];
+
+export function SearchContainer() {
+ const [view, setView] = useState("table");
+
+ return (
+
+ {isLoading && (
+
+ )}
+
+
+
+ )}
+
+ {error && (
+
+
+ )}
+
+ + Error:{" "} + {typeof error === "string" + ? error + : (error as any).message || "Unknown error"} +
+
+ {view === "table" &&
+
+
+ List view coming soon...
+
+ )}
+ {view === "grid" && (
+
+ Grid view coming soon...
+
+ )}
+
+ {
+ if (!current || totalPages <= 1) return null;
+
+ const pages = [];
+ const maxVisible = 7;
+ let startPage = Math.max(
+ 1,
+ current - Math.floor(maxVisible / 2),
+ );
+ let endPage = Math.min(
+ totalPages,
+ startPage + maxVisible - 1,
+ );
+
+ if (endPage - startPage < maxVisible - 1) {
+ startPage = Math.max(1, endPage - maxVisible + 1);
+ }
+
+ for (let i = startPage; i <= endPage; i++) {
+ pages.push(i);
+ }
+
+ return (
+
+
+
+ {startPage > 1 && (
+ <>
+
+ {startPage > 2 && ...}
+
+ )}
+ {pages.map((page) => (
+
+ ))}
+ {endPage < totalPages && (
+ <>
+ {endPage < totalPages - 1 && (
+ ...
+ )}
+
+
+ )}
+
+
+ );
+ }}
+ />
+
+
+ );
+}
+
+function CommandList({
+ className,
+ ...props
+}: React.ComponentProps
+
+
+));
+Table.displayName = "Table";
+
+const TableHeader = React.forwardRef<
+ HTMLTableSectionElement,
+ React.HTMLAttributes
@@ -234,22 +238,25 @@ const SearchBar = memo(() => {
/>
) : (
-
- )
- }
-
+ )}
+
);
});
@@ -270,4 +277,4 @@ const SearchContainer = ({ ecolor }) => (
SearchBar.displayName = "Search";
-export default SearchContainer;
\ No newline at end of file
+export default SearchContainer;
diff --git a/app/src/components/sidebar/Sidebar.js b/app/src/components/sidebar/Sidebar.js
index 9568f631..3ec0b4be 100644
--- a/app/src/components/sidebar/Sidebar.js
+++ b/app/src/components/sidebar/Sidebar.js
@@ -22,7 +22,9 @@ const Brand = styled(ListItemButton)`
font-weight: ${(props) => props.theme.typography.fontWeightBold};
color: ${(props) => props.theme.palette.sidebar.header.color};
background-color: ${(props) =>
- props.ecolor ? props.ecolor : props.theme.palette.sidebar.header.background};
+ props.ecolor
+ ? props.ecolor
+ : props.theme.palette.sidebar.header.background};
font-family: ${(props) => props.theme.typography.fontFamily};
min-height: 56px;
padding-left: ${(props) => props.theme.spacing(10)};
@@ -37,7 +39,9 @@ const Brand = styled(ListItemButton)`
&:hover {
background-color: ${(props) =>
- props.ecolor ? props.ecolor : props.theme.palette.sidebar.header.background};
+ props.ecolor
+ ? props.ecolor
+ : props.theme.palette.sidebar.header.background};
}
`;
diff --git a/app/src/components/sidebar/SidebarFooter.js b/app/src/components/sidebar/SidebarFooter.js
index 500fc1df..c2a63a68 100644
--- a/app/src/components/sidebar/SidebarFooter.js
+++ b/app/src/components/sidebar/SidebarFooter.js
@@ -6,11 +6,10 @@ import { Settings as SettingsIcon } from "@mui/icons-material";
import Settings from "../Settings";
import { useTranslation } from "next-i18next";
-
-const Footer = styled('div')(({ theme }) => ({
+const Footer = styled("div")(({ theme }) => ({
backgroundColor: `${theme.palette.sidebar.footer.background} !important`,
padding: 0,
- borderRight: '1px solid rgba(0, 0, 0, 0.12)'
+ borderRight: "1px solid rgba(0, 0, 0, 0.12)",
}));
const Item = styled(ListItemButton)(({ theme }) => ({
@@ -27,7 +26,7 @@ const Item = styled(ListItemButton)(({ theme }) => ({
height: 20,
opacity: 0.5,
},
- '&:hover': {
+ "&:hover": {
backgroundColor: darken(theme.palette.sidebar.footer.background, 0.03),
},
}));
diff --git a/app/src/utils/jwt.js b/app/src/utils/jwt.js
index c6c8546b..beb57ec6 100644
--- a/app/src/utils/jwt.js
+++ b/app/src/utils/jwt.js
@@ -2,7 +2,6 @@ import { jwtDecode } from "jwt-decode";
import { verify, sign } from "jsonwebtoken";
import axios from "./axios";
-
const isValidToken = (accessToken) => {
if (!accessToken || accessToken.split(".").length !== 3) {
return false;
diff --git a/docker-compose.yml b/docker-compose.yml
new file mode 100644
index 00000000..752852d8
--- /dev/null
+++ b/docker-compose.yml
@@ -0,0 +1,17 @@
+version: '3.8'
+
+services:
+ backend:
+ build:
+ context: .
+ dockerfile: docker/Dockerfile
+ ports:
+ - "8000:5000"
+ environment:
+ - FLASK_APP=autoapp.py
+ - FLASK_ENV=development
+ - DATABASE_URI=sqlite:///openml.db
+ - APP_SECRET_KEY=abcd
+ - JWT_SECRET_KEY=abcd
+ volumes:
+ - ./openml.db:/app/openml.db
diff --git a/docker/README.md b/docker/README.md
index 300156b6..1dbe4775 100644
--- a/docker/README.md
+++ b/docker/README.md
@@ -6,7 +6,6 @@ The frontend for OpenML.
The easiest way to use the OpenML image is using [Openml Services](https://github.com/openml/services).
-
Alternatively, run the container directly using
```bash
@@ -17,12 +16,14 @@ docker kill openml-frontend # the container doesn't seem to respond to a friend
## Build and publish
For local development using docker compose (openml services):
+
```bash
docker build -f docker/Dockerfile --tag openml/frontend:dev_[version] .
docker push openml/frontend:dev_[version]
```
For production on kubernetes:
+
```bash
docker build -f docker/Dockerfile --tag openml/frontend:k8s_[version] --build-arg environment=.k8s .
docker push openml/frontend:k8s_[version]
diff --git a/docs/SEARCH_MIGRATION.md b/docs/SEARCH_MIGRATION.md
index a2c53f39..cac30075 100644
--- a/docs/SEARCH_MIGRATION.md
+++ b/docs/SEARCH_MIGRATION.md
@@ -27,17 +27,17 @@ All search and detail pages now use clean, SEO-optimized URLs:
**Backward Compatibility:**
-- Old URLs like `/d/:id` automatically redirect to `/datasets/:id` (SEO canonical)
-- All old search URLs redirect to new routes
-- Academic papers and citations with old links continue to work
+- Old URLs like `/d/:id` automatically redirect to `/datasets/:id` (SEO canonical)
+- All old search URLs redirect to new routes
+- Academic papers and citations with old links continue to work
**Benefits:**
-- Better Google indexing and SEO ranking
-- Cleaner, more semantic URLs for sharing
-- Improved user experience
-- Maintains compatibility with academic papers and citations
-- New URLs are now the canonical version for search engines
+- Better Google indexing and SEO ranking
+- Cleaner, more semantic URLs for sharing
+- Improved user experience
+- Maintains compatibility with academic papers and citations
+- New URLs are now the canonical version for search engines
---
@@ -49,19 +49,19 @@ All search and detail pages now use clean, SEO-optimized URLs:
**Key Features:**
-- Direct fetch() API calls to Elasticsearch
-- Handles search terms, filters, pagination, sorting, and facets
-- Wraps results in Search UI's expected `{ raw: value }` format
-- Strips invalid `name` fields from range aggregations
-- Compatible with ES 6.8.23 query format
+- Direct fetch() API calls to Elasticsearch
+- Handles search terms, filters, pagination, sorting, and facets
+- Wraps results in Search UI's expected `{ raw: value }` format
+- Strips invalid `name` fields from range aggregations
+- Compatible with ES 6.8.23 query format
**Files Updated:**
-- `app/src/services/OpenMLSearchConnector.js` (new)
-- `app/src/search_configs/dataConfig.js`
-- `app/src/search_configs/taskConfig.js`
-- `app/src/search_configs/flowConfig.js`
-- `app/src/search_configs/runConfig.js`
+- `app/src/services/OpenMLSearchConnector.js` (new)
+- `app/src/search_configs/dataConfig.js`
+- `app/src/search_configs/taskConfig.js`
+- `app/src/search_configs/flowConfig.js`
+- `app/src/search_configs/runConfig.js`
---
@@ -94,10 +94,10 @@ Browser â Next.js â OpenMLSearchConnector â Elasticsearch (direct)
**Benefits:**
-- One less failure point
-- Faster queries (no proxy overhead)
-- Easier debugging with direct ES error messages
-- No dependency on Flask backend for read operations
+- One less failure point
+- Faster queries (no proxy overhead)
+- Easier debugging with direct ES error messages
+- No dependency on Flask backend for read operations
---
@@ -110,9 +110,9 @@ Browser â Next.js â OpenMLSearchConnector â Elasticsearch (direct)
**Elasticsearch Status:**
-- Cluster: `openmlelasticsearch`
-- Version: 6.8.23
-- Endpoint: `https://www.openml.org/es/`
+- Cluster: `openmlelasticsearch`
+- Version: 6.8.23
+- Endpoint: `https://www.openml.org/es/`
---
@@ -120,24 +120,24 @@ Browser â Next.js â OpenMLSearchConnector â Elasticsearch (direct)
### New Files
-- `app/src/pages/datasets.js`
-- `app/src/pages/tasks.js`
-- `app/src/pages/flows.js`
-- `app/src/pages/runs.js`
-- `app/src/services/OpenMLSearchConnector.js`
-- `app/src/components/search/DatasetSearchResults.jsx`
+- `app/src/pages/datasets.js`
+- `app/src/pages/tasks.js`
+- `app/src/pages/flows.js`
+- `app/src/pages/runs.js`
+- `app/src/services/OpenMLSearchConnector.js`
+- `app/src/components/search/DatasetSearchResults.jsx`
### Modified Files
-- `app/src/pages/d/search.js` (now redirects)
-- `app/src/pages/t/search.js` (now redirects)
-- `app/src/pages/f/search.js` (now redirects)
-- `app/src/pages/r/search.js` (now redirects)
-- All config files in `app/src/search_configs/`
-- `app/src/components/search/SearchContainer.js`
-- `app/src/components/search/Teaser.js`
-- `app/src/components/Wrapper.js`
-- `app/src/components/search/ResultGridCard.js`
+- `app/src/pages/d/search.js` (now redirects)
+- `app/src/pages/t/search.js` (now redirects)
+- `app/src/pages/f/search.js` (now redirects)
+- `app/src/pages/r/search.js` (now redirects)
+- All config files in `app/src/search_configs/`
+- `app/src/components/search/SearchContainer.js`
+- `app/src/components/search/Teaser.js`
+- `app/src/components/Wrapper.js`
+- `app/src/components/search/ResultGridCard.js`
---
@@ -159,10 +159,10 @@ None at this time. All major functionality working as expected.
## Technical Notes
-- **No Docker Required:** Frontend connects directly to production Elasticsearch
-- **No Flask Backend Needed:** For read-only search operations
-- **Backwards Compatible:** All old URLs redirect automatically
-- **SEO Optimized:** Each page has proper meta tags, Open Graph tags, and canonical URLs
+- **No Docker Required:** Frontend connects directly to production Elasticsearch
+- **No Flask Backend Needed:** For read-only search operations
+- **Backwards Compatible:** All old URLs redirect automatically
+- **SEO Optimized:** Each page has proper meta tags, Open Graph tags, and canonical URLs
---
@@ -170,6 +170,6 @@ None at this time. All major functionality working as expected.
For questions or issues, check:
-- Browser console logs (prefixed with `[OpenMLSearchConnector]`)
-- Network tab for Elasticsearch requests to `https://www.openml.org/es/`
-- Server terminal for Next.js errors
+- Browser console logs (prefixed with `[OpenMLSearchConnector]`)
+- Network tab for Elasticsearch requests to `https://www.openml.org/es/`
+- Server terminal for Next.js errors
diff --git a/meetups.md b/meetups.md
index 733764dc..89ccd001 100644
--- a/meetups.md
+++ b/meetups.md
@@ -4,28 +4,31 @@
### Preparation
-#### 1. GitHub
+#### 1. GitHub
+
- You'll need an account on [GitHub](https://github.com/)
-- some familiarity with Git / GitHub
+- some familiarity with Git / GitHub
#### 2. Slack
+
- For reaching out to the team, ask quick questions, or participate remotely
- You'll need an account on [Slack](https://slack.com/)
- [Join the OpenML workspace](https://join.slack.com/t/openml/shared_invite/enQtNDIyNDcwMjIzNjMzLTFjODA0OTllM2EyOGRjOGE4ZmE3N2M1MTk3M2JiMDA0NzBmZWQ0N2MyMWZmYzZhMWRjZWIxMjkxMjQ4OTkwMDQ)
#### 3. Get familiar with OpenML
+
- [Go through the Bootcamp](https://docs.openml.org/)
- Read up on other information relevant to you (e.g. how the [API's](https://docs.openml.org/APIs/) work)
- If something is not clear or wrong in the docs, please [fix it](https://docs.openml.org/OpenML-Docs/)
- If you can't fix it yourself, [create a github issue](https://github.com/openml/OpenML/issues)
#### 4. Contributing
+
- Read [this handy guide](https://docs.openml.org/Contributing/)
- [Review open issues](https://github.com/openml) (select the repository you are most interested in)
- If you are new, [focus on 'Good first issue' issues](https://github.com/issues?q=is%3Aopen+is%3Aissue+user%3Aopenml++label%3A%22Good+first+issue%22+)
- If you have feedback or run into issues, create an issue (in the right repository)
-
---
### Schedule, topics, organization
@@ -36,6 +39,6 @@ See the Google Doc that should be [linked from the workshop website](https://ope
### Twitter, Pictures, ...
-Please feel free to take photos and tweet about the event. Please mention [@open_ml](https://twitter.com/open_ml)
+Please feel free to take photos and tweet about the event. Please mention [@open_ml](https://twitter.com/open_ml)
Send pictures to openmachinelearning@gmail.com. [We'll upload them here](https://www.flickr.com/photos/159879889@N02)
diff --git a/server-proxy/README.md b/server-proxy/README.md
index 96a19d23..372b0567 100644
--- a/server-proxy/README.md
+++ b/server-proxy/README.md
@@ -3,7 +3,8 @@
This is a simple Node.js app that's only useful for development and testing of the OpenML frontend. It's not used in the production frontend.
Build and start with:
+
```
npm install
node server.js
-```
\ No newline at end of file
+```
diff --git a/server-proxy/server.js b/server-proxy/server.js
index 0a8750ec..2a1a0ed4 100644
--- a/server-proxy/server.js
+++ b/server-proxy/server.js
@@ -1,36 +1,44 @@
-const express = require('express');
-const proxy = require('express-http-proxy');
+const express = require("express");
+const proxy = require("express-http-proxy");
const app = express();
-app.use('/proxy', proxy('https://es.openml.org', {
- proxyReqBodyDecorator(bodyContent, srcReq) {
- // Convert Buffer to String
- const queryStr = bodyContent.toString();
+app.use(
+ "/proxy",
+ proxy("https://es.openml.org", {
+ proxyReqBodyDecorator(bodyContent, srcReq) {
+ // Convert Buffer to String
+ const queryStr = bodyContent.toString();
- // Get the Elasticsearch index
- const fullUrl = `http://${srcReq.headers.host}${srcReq.url}`;
- const urlObj = new URL(fullUrl);
- const indexName = urlObj.pathname.split('/')[1];
+ // Get the Elasticsearch index
+ const fullUrl = `http://${srcReq.headers.host}${srcReq.url}`;
+ const urlObj = new URL(fullUrl);
+ const indexName = urlObj.pathname.split("/")[1];
- // Parse the string into JSON and pretty print
- try {
- const queryObj = JSON.parse(queryStr);
- console.log('Elasticsearch Query on index', indexName, ":", JSON.stringify(queryObj, null, 2));
- } catch (error) {
- console.error('Error parsing JSON:', error);
- // Log the original string if it's not valid JSON
- console.log('Elasticsearch Query:', queryStr);
- }
-
- return bodyContent;
- }
-}));
+ // Parse the string into JSON and pretty print
+ try {
+ const queryObj = JSON.parse(queryStr);
+ console.log(
+ "Elasticsearch Query on index",
+ indexName,
+ ":",
+ JSON.stringify(queryObj, null, 2),
+ );
+ } catch (error) {
+ console.error("Error parsing JSON:", error);
+ // Log the original string if it's not valid JSON
+ console.log("Elasticsearch Query:", queryStr);
+ }
+
+ return bodyContent;
+ },
+ }),
+);
// Root route handler
-app.get('/', (req, res) => {
- res.send('Elasticsearch Proxy Server is running.');
- });
+app.get("/", (req, res) => {
+ res.send("Elasticsearch Proxy Server is running.");
+});
app.listen(3001, () => {
- console.log('Proxy server running on port 3001');
+ console.log("Proxy server running on port 3001");
});
diff --git a/server/src/client/app/config-overrides.js b/server/src/client/app/config-overrides.js
index 3fbc708c..95766832 100644
--- a/server/src/client/app/config-overrides.js
+++ b/server/src/client/app/config-overrides.js
@@ -1,20 +1,23 @@
const NodePolyfillPlugin = require("node-polyfill-webpack-plugin");
-const ModuleScopePlugin = require('react-dev-utils/ModuleScopePlugin');
+const ModuleScopePlugin = require("react-dev-utils/ModuleScopePlugin");
module.exports = {
- devServer: {
- stats: {
- assets: false,
- chunks: false,
- }
- }
+ devServer: {
+ stats: {
+ assets: false,
+ chunks: false,
+ },
+ },
};
module.exports = function override(config, env) {
- config.plugins.push(new NodePolyfillPlugin({
- excludeAliases: [
- ]
- }));
- config.resolve.plugins = config.resolve.plugins.filter(plugin => !(plugin instanceof ModuleScopePlugin));
- return config;
-};
\ No newline at end of file
+ config.plugins.push(
+ new NodePolyfillPlugin({
+ excludeAliases: [],
+ }),
+ );
+ config.resolve.plugins = config.resolve.plugins.filter(
+ (plugin) => !(plugin instanceof ModuleScopePlugin),
+ );
+ return config;
+};
diff --git a/server/src/client/app/public/index.html b/server/src/client/app/public/index.html
index 1adacddf..43cc95a3 100755
--- a/server/src/client/app/public/index.html
+++ b/server/src/client/app/public/index.html
@@ -1,28 +1,26 @@
-
-
-
-
-
-
-
-
-
-
-
- OpenML
-
-
-
-
-
-
-
-
+
+
+
+
+
+
+
+
+
+
+
+ OpenML
+
+
+
+
+
+
+
+
diff --git a/server/src/client/app/public/manifest.json b/server/src/client/app/public/manifest.json
index 62d42824..f882e728 100755
--- a/server/src/client/app/public/manifest.json
+++ b/server/src/client/app/public/manifest.json
@@ -1,15 +1,15 @@
-{
- "short_name": "OpenML App",
- "name": "OpenML App",
- "icons": [
- {
- "src": "favicon.ico",
- "sizes": "64x64 32x32 24x24 16x16",
- "type": "image/x-icon"
- }
- ],
- "start_url": ".",
- "display": "standalone",
- "theme_color": "#1976d2",
- "background_color": "#ffffff"
-}
+{
+ "short_name": "OpenML App",
+ "name": "OpenML App",
+ "icons": [
+ {
+ "src": "favicon.ico",
+ "sizes": "64x64 32x32 24x24 16x16",
+ "type": "image/x-icon"
+ }
+ ],
+ "start_url": ".",
+ "display": "standalone",
+ "theme_color": "#1976d2",
+ "background_color": "#ffffff"
+}
diff --git a/server/src/client/app/public/openml-api.json b/server/src/client/app/public/openml-api.json
index 51492764..6b4e6967 100644
--- a/server/src/client/app/public/openml-api.json
+++ b/server/src/client/app/public/openml-api.json
@@ -1,5649 +1,5523 @@
{
- "openapi": "3.0.0",
- "info": {
- "title": "OpenML API",
- "description": "REST API for sharing, organizing and reusing machine learning datasets, code, and experiments.
\\\r\n * \\\r\n * To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.
\\\r\n * \\\r\n * You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.
\\\r\n * \\\r\n * Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.", - "creator": [ - "Joaquin Vanschoren", - "Jan van Rijn", - "Luis Torgo", - "Bernd Bischl" - ], - "contributor": [ - "Bo Gao", - "Simon Fischer", - "Venkatesh Umaashankar", - "Michael Berthold", - "Bernd Wiswedel", - "Patrick Winter" - ], - "creation_date": "2013-01-24 00:00:00", - "input": [ - { - "name": "source_data", - "requirement": "required", - "data_type": "numeric" - }, - { - "name": "target_feature", - "requirement": "required", - "data_type": "string" - }, - { - "name": "estimation_procedure", - "requirement": "required", - "data_type": "numeric" - }, - { - "name": "cost_matrix", - "data_type": "json" - }, - { - "name": "custom_testset", - "data_type": "json" - }, - { - "name": "evaluation_measures", - "data_type": "string" - } - ] - } - } - } - } - }, - "412": { - "description": "Precondition failed. An error code and message are returned.\\n240 - Please provide task type ID.\\n241 - Unknown task type. The task type with the given id was not found in the database\\n", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/Error" - } - } - } - } + } + } + } + }, + "/flow/untag": { + "post": { + "tags": ["flow"], + "summary": "Untag a flow", + "description": "Untags a flow.", + "operationId": "Api_flow::flow_untag", + "parameters": [ + { + "name": "flow_id", + "in": "query", + "description": "Id of the flow.", + "required": true, + "schema": { + "type": "integer" + } + }, + { + "name": "tag", + "in": "query", + "description": "Tag name", + "required": true, + "schema": { + "type": "string" + } + }, + { + "name": "api_key", + "in": "query", + "description": "Api key to authenticate the user", + "required": true, + "schema": { + "type": "string" + } + } + ], + "responses": { + "200": { + "description": "The id of the untagged flow", + "content": { + "application/json": { + "schema": { + "properties": { + "flow_untag": { + "$ref": "#/components/schemas/inline_response_200_13_flow_untag" + } + }, + "type": "object" + }, + "example": { + "flow_untag": { + "id": "2" + } } + } } - }, - "/evaluationmeasure/list": { - "get": { - "tags": [ - "evaluationmeasure" - ], - "summary": "List all evaluation measures", - "description": "Returns an array with all model evaluation measures in the system.", - "operationId": "Api_evaluationmeasure::evaluationmeasure_list", - "responses": { - "200": { - "description": "A list of evaluation measures", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/EvaluationMeasureList" - }, - "example": { - "evaluation_measures": { - "measures": { - "measure": [ - "area_under_roc_curve", - "average_cost", - "binominal_test", - "build_cpu_time" - ] - } - } - } - } - } - } + }, + "412": { + "description": "Precondition failed. An error code and message are returned.\\n475 - Please give entity_id {data_id, flow_id, run_id} and tag. In order to remove a tag, please upload the entity id (either data_id, flow_id, run_id) and tag (the name of the tag).\\n476 - Entity {dataset, flow, run} not found. The provided entity_id {data_id, flow_id, run_id} does not correspond to an existing entity.\\n477 - Tag not found. The provided tag is not associated with the entity {dataset, flow, run}.\\n478 - Tag is not owned by you. The entity {dataset, flow, run} was tagged\\nby another user. Hence you cannot delete it.\\n479 - Internal error removing the tag. Please contact OpenML Team.\\n", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Error" } + } } - }, - "/estimationprocedure/list": { - "get": { - "tags": [ - "estimationprocedure" - ], - "summary": "List all estimation procedures", - "description": "Returns an array with all model performance estimation procedures in the system.", - "operationId": "Api_estimationprocedure::estimationprocedure_list", - "responses": { - "200": { - "description": "A list of estimation procedures", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/EstimationProcedureList" - }, - "example": { - "estimationprocedures": { - "estimationprocedure": [ - { - "id": "1", - "ttid": "1", - "name": "10-fold Crossvalidation", - "type": "crossvalidation", - "repeats": "1", - "folds": "10", - "stratified_sampling": "true" - }, - { - "id": "2", - "ttid": "1", - "name": "5 times 2-fold Crossvalidation", - "type": "crossvalidation", - "repeats": "5", - "folds": "2", - "stratified_sampling": "true" - } - ] - } - } - } - } + } + } + } + }, + + "/run/{id}": { + "get": { + "tags": ["run"], + "summary": "Get run description. Runs describe machine learning experiments, typically the results or running a certain model (flow) on a certain task.", + "description": "Returns information about a run. The information includes the name, information about the creator, dependencies, parameters, run instructions and more.", + "operationId": "Api_run::run", + "parameters": [ + { + "name": "id", + "in": "path", + "description": "ID of the run.", + "required": true, + "schema": { + "type": "integer" + } + } + ], + "responses": { + "200": { + "description": "A run description", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Run" + }, + "example": { + "run": { + "run_id": "100", + "uploader": "1", + "uploader_name": "Jan van Rijn", + "task_id": "28", + "task_type": "Supervised Classification", + "task_evaluation_measure": "predictive_accuracy", + "flow_id": "67", + "flow_name": "weka.BayesNet_K2(1)", + "setup_string": "weka.classifiers.bayes.BayesNet -- -D -Q weka.classifiers.bayes.net.search.local.K2 -- -P 1 -S BAYES -E weka.classifiers.bayes.net.estimate.SimpleEstimator -- -A 0.5", + "parameter_setting": [ + { + "name": "D", + "value": "true" + }, + { + "name": "Q", + "value": "weka.classifiers.bayes.net.search.local.K2" + }, + { + "name": "P", + "value": "1" + }, + { + "name": "S", + "value": "BAYES" + } + ], + "input_data": { + "dataset": { + "did": "28", + "name": "optdigits", + "url": "https:\\\\/\\\\/www.openml.org\\\\/data\\\\/download\\\\/28\\\\/dataset_28_optdigits.arff" + } }, - "412": { - "description": "Precondition failed. An error code and message are returned.\\n500 - No model performance estimation procedures available.\\n", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/Error" - } - } - } - } + "output_data": { + "file": [ + { + "did": "48838", + "file_id": "261", + "name": "description", + "url": "https:\\\\/\\\\/www.openml.org\\\\/data\\\\/download\\\\/261\\\\/weka_generated_run935374685998857626.xml" + }, + { + "did": "48839", + "file_id": "262", + "name": "predictions", + "url": "https:\\\\/\\\\/www.openml.org\\\\/data\\\\/download\\\\/262\\\\/weka_generated_predictions576954524972002741.arff" + } + ], + "evaluation": [ + { + "name": "area_under_roc_curve", + "flow_id": "4", + "value": "0.990288", + "array_data": "[0.99724,0.989212,0.992776,0.994279,0.980578,0.98649,0.99422,0.99727,0.994858,0.976143]" + }, + { + "name": "confusion_matrix", + "flow_id": "10", + "array_data": "[[544,1,0,0,7,0,1,0,0,1],[0,511,21,1,0,1,3,1,5,28],[0,7,511,1,0,1,0,3,23,11],[0,2,2,519,0,3,0,12,16,18],[0,3,0,0,528,0,4,21,6,6],[0,1,0,7,5,488,2,0,4,51],[1,7,0,0,2,0,548,0,0,0],[0,2,0,1,9,1,0,545,4,4],[1,25,2,2,3,6,2,1,503,9],[0,7,0,20,16,5,0,19,9,486]]" + }, + { + "name": "f_measure", + "flow_id": "12", + "value": "0.922723", + "array_data": "[0.989091,0.898857,0.935041,0.92431,0.927944,0.918156,0.980322,0.933219,0.895018,0.826531]" + }, + { + "name": "kappa", + "flow_id": "13", + "value": "0.913601" + } + ] + } + } } + } } - }, - "/user/list": { - "get": { - "tags": [ - "user" - ], - "summary": "List all users by user id. Only accessible to admins.", - "description": "Returns an array with all user ids and names.", - "operationId": "Api_user::username_list", - "responses": { - "200": { - "description": "A list of users", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/UserList" - }, - "example": { - "users": { - "user": [ - { - "id": "1", - "username": "janvanrijn@gmail.com" - }, - { - "id": "2", - "username": "joaquin.vanschoren@gmail.com" - } - ] - } - } - } - } - } + }, + "412": { + "description": "Precondition failed. An error code and message are returned.\\n220 - Please provide run ID. In order to view run details, please provide the run ID.\\n221 - Run not found. The run ID was invalid, run does not exist (anymore).\\n", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Error" } + } } + } } - }, - "components": { - "schemas": { - "inline_response_200_16_flow_untag": { - "properties": { - "id": { - "description": "ID of the untagged setup", - "type": "string" - } + }, + "delete": { + "tags": ["run"], + "summary": "Delete run", + "description": "Deletes a run. Upon success, it returns the ID of the deleted run.", + "operationId": "Api_run::run_delete", + "parameters": [ + { + "name": "id", + "in": "path", + "description": "Id of the run.", + "required": true, + "schema": { + "type": "integer" + } + }, + { + "name": "api_key", + "in": "query", + "description": "API key to authenticate the user", + "required": true, + "schema": { + "type": "string" + } + } + ], + "responses": { + "200": { + "description": "ID of the deleted run", + "content": { + "application/json": { + "schema": { + "properties": { + "data_delete": { + "$ref": "#/components/schemas/inline_response_200_17_data_delete" + } + }, + "type": "object" }, - "type": "object" - }, - "EvaluationMeasureList_evaluation_measures_measures": { - "properties": { - "measure": { - "description": "The evaluation measure names", - "type": "array", - "items": { - "type": "string" - } - } + "example": { + "run_delete": { + "id": "2520" + } + } + } + } + }, + "412": { + "description": "Precondition failed. An error code and message are returned.\\n390 - Please provide API key. In order to remove your content, please authenticate.\\n391 - Authentication failed. The API key was not valid. Please try to login again, or contact api administrators\\n392 - Run does not exists. The run ID could not be linked to an existing run.\\n393 - Run is not owned by you. The run was owned by another user. Hence you cannot delete it.\\n394 - Deleting run failed. Deleting the run failed. Please contact support team.\\n", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Error" + } + } + } + } + } + } + }, + "/run/reset/{id}": { + "get": { + "tags": ["run"], + "summary": "Resets a run. Causes the evaluations of the run to be recomputed.", + "description": "Removes all run evaluations. When a run is reset, the runs will automatically be evaluated as soon as they are picked up by the evaluation engine again.", + "operationId": "Api_run::run_reset", + "parameters": [ + { + "name": "id", + "in": "path", + "description": "Run ID.", + "required": true, + "schema": { + "type": "string" + } + } + ], + "responses": { + "200": { + "description": "Id of the evaluated run", + "content": { + "application/json": { + "schema": { + "properties": { + "run_reset": { + "$ref": "#/components/schemas/inline_response_200_21_upload_flow" + } + }, + "type": "object" }, - "type": "object" - }, - "inline_response_200_10_flow_exists": { - "properties": { - "id": { - "description": "The id of the flow with the given name and (external) version", - "type": "string" - }, - "exists": { - "description": "true or false", - "type": "string" - } + "example": { + "run_reset": { + "id": "2520" + } + } + } + } + }, + "412": { + "description": "Precondition failed. An error code and message are returned.\\n412 - Run does not exist\\n413 - Run is not owned by you\\n394 - Resetting run failed\\n", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Error" + } + } + } + } + } + } + }, + "/run/list/{filters}": { + "get": { + "tags": ["run"], + "summary": "List and filter runs", + "description": "List runs, filtered by a range of properties. Any number of properties can be combined by listing them one after the other in the form '/run/list/{filter}/{value}/{filter}/{value}/...' Returns an array with all runs that match the constraints. A maximum of 10,000 results are returned, an error is returned if the result set is bigger. Use pagination (via limit and offset filters), or limit the results to certain tasks, flows, setups, or uploaders.", + "operationId": "Api_run::run_list", + "parameters": [ + { + "name": "filters", + "in": "path", + "description": "Any combination of these filters\r\n /tag/{tag} - return only runs tagged with the given tag.\r\n /run/{ids} - return only specific runs, specified as a comma-separated list of run IDs, e.g. ''1,2,3''\r\n /task/{ids} - return only runs on specific tasks, specified as a comma-separated list of task IDs, e.g. ''1,2,3''\r\n /flow/{ids} - return only runs on specific flows, specified as a comma-separated list of flow IDs, e.g. ''1,2,3''\r\n /setup/{ids} - return only runs with specific setups, specified as a comma-separated list of setup IDs, e.g. ''1,2,3''\r\n /uploader/{ids} - return only runs uploaded by specific users, specified as a comma-separated list of user IDs, e.g. ''1,2,3''\r\n /limit/{limit}/offset/{offset} - returns only {limit} results starting from result number {offset}. Useful for paginating results. With /limit/5/offset/10, results 11..15 will be returned. Both limit and offset need to be specified.\r\n ", + "required": true, + "schema": { + "type": "string" + } + } + ], + "responses": { + "200": { + "description": "A list of runs descriptions", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/RunList" }, - "type": "object" - }, - "Data_data_set_description": { - "properties": { - "default_target_attribute": { - "description": "For tabular data, the name of the column that is typically used as the target attribute for that data set", - "type": "string" - }, - "upload_date": { - "description": "The datetime that the dataset was uploaded, format yyyy-MM-dd HH:mm:ss", - "type": "string" - }, - "version_label": { - "description": "The version of the dataset, as defined by the uploader, for reference. Can be any format as long as it is unique.", - "type": "string" - }, - "description": { - "description": "Wiki description of the dataset, in (Git flavoured) markdown format", - "type": "string" - }, - "format": { - "description": "Data format, for instance ARFF", - "type": "string" - }, - "url": { - "description": "The URL where the data can be downloaded", - "type": "string" - }, - "tag": { - "description": "Tags added by OpenML users. Includes study tags in the form `study_1`", - "type": "array", - "items": { - "type": "string" - } - }, - "visibility": { - "description": "Who can see the dataset. For instance `public`.", - "type": "string" - }, - "md5_checksum": { - "description": "Checksum to verify downloads of the dataset", - "type": "string" - }, - "version": { - "description": "The version of the dataset, set by OpenML. A positive integer", - "type": "string" - }, - "status": { - "description": "active, in_preparation, or deactivated", - "type": "string" - }, - "file_id": { - "description": "The ID of the dataset file stored on the OpenML server", - "type": "string" - }, - "licence": { - "description": "The licence granted for using the dataset, for instance Public or CC-BY", - "type": "string" - }, - "original_data_url": { - "description": "The URL where the original data is hosted.", - "type": "string" - }, - "id": { - "description": "ID of the dataset, a positive integer", - "type": "string" - }, - "name": { - "description": "The name of the dataset", - "type": "string" - } + "example": { + "runs": { + "run": [ + { + "upload_time": "2014-04-06 23:30:40", + "task_id": "28", + "run_id": "100", + "error_message": [], + "setup_id": "12", + "uploader": "1", + "flow_id": "67" + }, + { + "upload_time": "2014-04-06 23:30:40", + "task_id": "48", + "run_id": "101", + "error_message": [], + "setup_id": "6", + "uploader": "1", + "flow_id": "61" + }, + { + "upload_time": "2014-04-06 23:30:40", + "task_id": "41", + "run_id": "102", + "error_message": [], + "setup_id": "3", + "uploader": "1", + "flow_id": "58" + } + ] + } + } + } + } + }, + "412": { + "description": "Precondition failed. An error code and message are returned.\\n510 - Please provide at least task, flow or setup, uploader or run, to filter results, or limit the number of responses. The number of runs is huge. Please limit the result space.\\n511 - Input not safe. The input parameters (task_id, setup_id, flow_id, run_id, uploader_id) did not meet the constraints (comma separated list of integers).\\n512 - There where no results. Check whether there are runs under the given constraint.\\n513 - Too many results. Given the constraints, there were still too many results. Please add filters to narrow down the list.\\n514 - Illegal filter specified.\\n515 - Offset specified without limit.\\n516 - Requested result limit too high.\\n", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Error" + } + } + } + } + } + } + }, + "/run/trace/{id}": { + "get": { + "tags": ["run"], + "summary": "Get run trace, containing all hyperparameter settings tried while tuning the model, and their evaluations.", + "description": "Returns the optimization trace of run. The trace contains every setup tried, its evaluation, and whether it was selected.", + "operationId": "Api_run::run_trace", + "parameters": [ + { + "name": "id", + "in": "path", + "description": "ID of the run.", + "required": true, + "schema": { + "type": "integer" + } + } + ], + "responses": { + "200": { + "description": "A run trace description", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/RunTrace" }, - "type": "object" - }, - "DataList_data_dataset": { - "properties": { - "did": { - "description": "The dataset ID", - "type": "string" - }, - "status": { - "description": "The dataset status, either in_preparation, active, or deactivated", - "type": "string" - }, - "quality": { - "type": "array", - "items": { - "$ref": "#/components/schemas/DataList_data_quality" - } - }, - "name": { - "description": "The dataset name", - "type": "string" - }, - "format": { - "description": "The data format of the dataset, e.g. ARFF", - "type": "string" - } + "example": { + "trace": { + "run_id": "573055", + "trace_iteration": { + "repeat": "0", + "fold": "0", + "iteration": "1", + "setup_string": { + "parameter_minNumObj": "1", + "parameter_confidenceFactor": "0.25" + }, + "evaluation": "94.074074", + "selected": "true" + } + } + } + } + } + }, + "412": { + "description": "Precondition failed. An error code and message are returned.\\n570 - No successful trace associated with this run\\n", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Error" + } + } + } + } + } + }, + "post": { + "tags": ["run"], + "summary": "Upload run trace", + "description": "Uploads a run trace. Upon success, it returns the run id.", + "operationId": "Api_run::run_trace_upload", + "parameters": [ + { + "name": "id", + "in": "path", + "description": "ID of the run.", + "required": true, + "schema": { + "type": "integer" + } + }, + { + "name": "description", + "in": "query", + "description": "An XML file describing the trace. Also see the [XSD schema](https://www.openml.org/api/v1/xsd/openml.run.trace) and an [XML example](https://www.openml.org/api/v1/xml_example/run.trace).", + "required": true, + "schema": { + "type": "file" + } + }, + { + "name": "api_key", + "in": "query", + "description": "Api key to authenticate the user", + "required": true, + "schema": { + "type": "string" + } + } + ], + "responses": { + "200": { + "description": "Id of the run with the trace", + "content": { + "application/json": { + "schema": { + "properties": { + "upload_flow": { + "$ref": "#/components/schemas/inline_response_200_23_upload_flow" + } + }, + "type": "object" }, - "type": "object" - }, - "Task_task_description_estimation_procedure": { - "properties": { - "parameter": { - "type": "array", - "items": { - "$ref": "#/components/schemas/Task_task_description_estimation_procedure_parameter" - } - }, - "type": { - "description": "The type of procedure, e.g. crossvalidation", - "type": "string" - }, - "data_splits_url": { - "description": "The url where the data splits can be downloaded", - "type": "string" - } + "example": { + "run_trace": { + "id": "2520" + } + } + } + } + }, + "412": { + "description": "Precondition failed. An error code and message are returned.\\n561 - Problem with uploaded trace file.\\n562 - Problem validating xml trace file.\\n563 - Problem loading xml trace file.\\n", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Error" + } + } + } + } + } + } + }, + "/run": { + "post": { + "tags": ["run"], + "summary": "Upload run", + "description": "Uploads a run. Upon success, it returns the run id.", + "operationId": "Api_run::run_upload", + "parameters": [ + { + "name": "description", + "in": "query", + "description": "An XML file describing the dataset. Only name, description, and data format are required. Also see the [XSD schema](https://www.openml.org/api/v1/xsd/openml.run.upload) and an [XML example](https://www.openml.org/api/v1/xml_example/run).", + "required": true, + "schema": { + "type": "file" + } + }, + { + "name": "predictions", + "in": "query", + "description": "The predictions generated by the run", + "required": true, + "schema": { + "type": "file" + } + }, + { + "name": "model_readable", + "in": "query", + "description": "The human-readable model generated by the run", + "required": false, + "schema": { + "type": "file" + } + }, + { + "name": "model_serialized", + "in": "query", + "description": "The serialized model generated by the run", + "required": false, + "schema": { + "type": "file" + } + }, + { + "name": "api_key", + "in": "query", + "description": "Api key to authenticate the user", + "required": true, + "schema": { + "type": "string" + } + } + ], + "responses": { + "200": { + "description": "Id of the uploaded run", + "content": { + "application/json": { + "schema": { + "properties": { + "upload_flow": { + "$ref": "#/components/schemas/inline_response_200_18_upload_flow" + } + }, + "type": "object" }, - "type": "object" - }, - "DataList_data_quality": { - "properties": { - "name": { - "description": "The name of the property", - "type": "string" - }, - "value": { - "description": "The value of the property", - "type": "string" - } + "example": { + "upload_run": { + "id": "2520" + } + } + } + } + }, + "412": { + "description": "Precondition failed. An error code and message are returned.\\n201 - Authentication failed. The API key was not valid. Please try to login again, or contact api administrators.\\n202 - Please provide run XML.\\n203 - Could not validate run xml by XSD. Please double check that the xml is valid.\\n204 - Unknown task. The task with the given ID was not found in the database.\\n205 - Unknown flow. The flow with the given ID was not found in the database.\\n206 - Invalid number of files. The number of uploaded files did not match the number of files expected for the task type\\n207 - File upload failed. One of the files uploaded has a problem.\\n208 - Error inserting setup record. Please contact api administrators\\n210 - Unable to store run. Please contact api administrators.\\n211 - Dataset not in database. One of the datasets of the task was not included in database, please contact api administrators.\\n212 - Unable to store file. Please contact api administrators.\\n213 - Parameter in run xml unknown. One of the parameters provided in the run xml is not registered as parameter for the flow nor its components.\\n214 - Unable to store input setting. Please contact API support team.\\n215 - Unable to evaluate predictions. Please contact API support team.\\n216 - Error thrown by Java Application. Additional information field is provided.\\n217 - Error processing output data. Unknown or inconsistent evaluation measure. One of the provided evaluation measures could not be matched with a record in the math_function or flow table.\\n218 - Wrong flow associated with run. The flow implements a math_function, which is unable to generate predictions. Please select another flow.\\n219 - Error reading the XML document. The XML description file could not be verified.\\n", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Error" + } + } + } + } + } + } + }, + "/run/evaluate": { + "post": { + "tags": ["run"], + "summary": "Uploads a run evaluation", + "description": "Uploads a run evaluation. When successful, it returns the run id.", + "operationId": "Api_run::run_evaluate", + "parameters": [ + { + "name": "description", + "in": "query", + "description": "An XML file describing the run evaluation.Also see the [XSD schema](https://www.openml.org/api/v1/xsd/openml.run.evaluate) and an [XML example](https://www.openml.org/api/v1/xml_example/run.evaluate).", + "required": true, + "schema": { + "type": "file" + } + }, + { + "name": "api_key", + "in": "query", + "description": "Api key to authenticate the user", + "required": true, + "schema": { + "type": "string" + } + } + ], + "responses": { + "200": { + "description": "Id of the evaluated run", + "content": { + "application/json": { + "schema": { + "properties": { + "upload_flow": { + "$ref": "#/components/schemas/inline_response_200_21_upload_flow" + } + }, + "type": "object" }, - "type": "object" - }, - "FlowList_flows_flow": { - "properties": { - "full_name": { - "description": "The full flow name (name + internal version number)", - "type": "string" - }, - "external_version": { - "description": "The external flow version", - "type": "string" - }, - "version": { - "description": "The internal flow version", - "type": "string" - }, - "uploader": { - "description": "The ID of the person who uploaded the flow", - "type": "string" - }, - "id": { - "description": "The flow ID", - "type": "string" - }, - "name": { - "description": "The flow name", - "type": "string" - } + "example": { + "run_evaluate": { + "id": "2520" + } + } + } + } + }, + "412": { + "description": "Precondition failed. An error code and message are returned.\\n422 - Upload problem description XML\\n423 - Problem validating uploaded description file\\n424 - Problem opening description xml\\n", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Error" + } + } + } + } + } + } + }, + "/run/tag": { + "post": { + "tags": ["run"], + "summary": "Tag a run", + "description": "Tags a run.", + "operationId": "Api_run::run_tag", + "parameters": [ + { + "name": "run_id", + "in": "query", + "description": "Id of the run.", + "required": true, + "schema": { + "type": "integer" + } + }, + { + "name": "tag", + "in": "query", + "description": "Tag name", + "required": true, + "schema": { + "type": "string" + } + }, + { + "name": "api_key", + "in": "query", + "description": "Api key to authenticate the user", + "required": true, + "schema": { + "type": "string" + } + } + ], + "responses": { + "200": { + "description": "The id of the tagged run", + "content": { + "application/json": { + "schema": { + "properties": { + "run_tag": { + "$ref": "#/components/schemas/inline_response_200_19_run_tag" + } + }, + "type": "object" }, - "type": "object" - }, - "Run_run_description_input_data_dataset": { - "properties": { - "did": { - "description": "The id of the dataset", - "type": "string" - }, - "url": { - "description": "The download url of the dataset", - "type": "string" - }, - "name": { - "description": "The name of the dataset", - "type": "string" - } + "example": { + "run_tag": { + "id": "2" + } + } + } + } + }, + "412": { + "description": "Precondition failed. An error code and message are returned.\\n470 - In order to add a tag, please upload the entity id (either data_id, flow_id, run_id) and tag (the name of the tag).\\n471 - Entity not found. The provided entity_id {data_id, flow_id, run_id} does not correspond to an existing entity.\\n472 - Entity already tagged by this tag. The entity {dataset, flow, run} already had this tag.\\n473 - Something went wrong inserting the tag. Please contact OpenML Team.\\n474 - Internal error tagging the entity. Please contact OpenML Team.\\n", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Error" + } + } + } + } + } + } + }, + "/run/untag": { + "post": { + "tags": ["run"], + "summary": "Untag a run", + "description": "Untags a run.", + "operationId": "Api_run::run_untag", + "parameters": [ + { + "name": "run_id", + "in": "query", + "description": "Id of the run.", + "required": true, + "schema": { + "type": "integer" + } + }, + { + "name": "tag", + "in": "query", + "description": "Tag name", + "required": true, + "schema": { + "type": "string" + } + }, + { + "name": "api_key", + "in": "query", + "description": "Api key to authenticate the user", + "required": true, + "schema": { + "type": "string" + } + } + ], + "responses": { + "200": { + "description": "The id of the untagged run", + "content": { + "application/json": { + "schema": { + "properties": { + "run_untag": { + "$ref": "#/components/schemas/inline_response_200_20_run_untag" + } + }, + "type": "object" }, - "type": "object" - }, - "EvaluationList_evaluations": { - "properties": { - "evaluation": { - "type": "array", - "items": { - "$ref": "#/components/schemas/EvaluationList_evaluations_evaluation" - } - } + "example": { + "run_untag": { + "id": "2" + } + } + } + } + }, + "412": { + "description": "Precondition failed. An error code and message are returned.\\n475 - Please give entity_id {data_id, flow_id, run_id} and tag. In order to remove a tag, please upload the entity id (either data_id, flow_id, run_id) and tag (the name of the tag).\\n476 - Entity {dataset, flow, run} not found. The provided entity_id {data_id, flow_id, run_id} does not correspond to an existing entity.\\n477 - Tag not found. The provided tag is not associated with the entity {dataset, flow, run}.\\n478 - Tag is not owned by you. The entity {dataset, flow, run} was tagged by another user. Hence you cannot delete it.\\n479 - Internal error removing the tag. Please contact OpenML Team.\\n", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Error" + } + } + } + } + } + } + }, + "/evaluation/list/{filters}": { + "get": { + "tags": ["evaluation"], + "summary": "List and filter run evaluations. Useful for retrieving model evaluations across many runs.", + "description": "List evaluations, filtered by a range of properties. Any number of properties can be combined by listing them one after the other in the form '/evaluation/list/{filter}/{value}/{filter}/{value}/...' Returns an array with all evaluations that match the constraints. A maximum of 10,000 results are returned, an error is returned if the result set is bigger. Use pagination (via limit and offset filters), or limit the results to certain tasks, flows, setups, uploaders or runs.", + "operationId": "Api_evaluation::evaluation_list", + "parameters": [ + { + "name": "filters", + "in": "path", + "description": "Any combination of these filters\r\n /function/{name} - name of the evaluation measure, e.g. area_under_auc or predictive_accuracy. See the OpenML website for the complete list of measures.\r\n /tag/{tag} - returns only evaluations of runs tagged with the given tag.\r\n /run/{ids} - return only evaluations for specific runs, specified as a comma-separated list of run IDs, e.g. ''1,2,3''\r\n /task/{ids} - return only evaluations for specific tasks, specified as a comma-separated list of task IDs, e.g. ''1,2,3''\r\n /flow/{ids} - return only evaluations for specific flows, specified as a comma-separated list of flow IDs, e.g. ''1,2,3''\r\n /setup/{ids} - return only evaluations for specific setups, specified as a comma-separated list of setup IDs, e.g. ''1,2,3''\r\n /uploader/{ids} - return only evaluations uploaded by specific users, specified as a comma-separated list of user IDs, e.g. ''1,2,3''\r\n /limit/{limit}/offset/{offset} - returns only {limit} results starting from result number {offset}. Useful for paginating results. With /limit/5/offset/10, results 11..15 will be returned. Both limit and offset need to be specified.\r\n /per_fold/{true,false} - whether or not to return crossvalidation scores per fold. Defaults to 'false'. Setting it to 'true' leads to large numbers of results, use only for very specific sets of runs.\r\n /sort_order/{asc,desc} - sorts the results by the evaluation value, according to the selected evaluation measure (function)\r\n ", + "required": true, + "schema": { + "type": "string" + } + } + ], + "responses": { + "200": { + "description": "A list of evaluations descriptions", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/EvaluationList" }, - "type": "object" - }, - "inline_response_200_14_study_delete": { - "properties": { - "id": { - "description": "ID of the deleted setup, a positive integer", - "type": "string" - } + "example": { + "evaluations": { + "evaluation": [ + { + "function": "area_under_roc_curve", + "upload_time": "2014-04-06 23:30:40", + "task_id": "68", + "run_id": "1", + "array_data": "[0,0.99113,0.898048,0.874862,0.791282,0.807343,0.820674]", + "value": "0.839359", + "uploader": "1", + "flow_id": "61" + }, + { + "function": "f_measure", + "upload_time": "2014-04-06 23:30:40", + "task_id": "68", + "run_id": "1", + "array_data": "[0,0,0.711934,0.735714,0.601363,0.435678,0.430913]", + "value": "0.600026", + "uploader": "1", + "flow_id": "61" + }, + { + "function": "predictive_accuracy", + "upload_time": "2014-04-06 23:30:40", + "task_id": "68", + "run_id": "1", + "array_data": [], + "value": "0.614634", + "uploader": "1", + "flow_id": "61" + } + ] + } + } + } + } + }, + "412": { + "description": "Precondition failed. An error code and message are returned.\\n540 - Please provide at least task, flow or setup, uploader or run, to\\nfilter results, or limit the number of responses.\\n541 - The input parameters (task_id, setup_id, flow_id, run_id, uploader_id) did not meet the constraints (comma separated list of integers).\\n542 - There where no results. Check whether there are runs under the given constraint.\\n543 - Too many results. Given the constraints, there were still too many results. Please add filters to narrow down the list.\\n544 - Illegal filter specified.\\n545 - Offset specified without limit.\\n546 - Requested result limit too high.\\n547 - Per fold can only be set to value 'true' or 'false'.\\n548 - Per fold queries are experimental and require a fair amount of filters on resulting run records to keep the query fast (use, e.g., flow, setup, task and uploader filter)\\n", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Error" + } + } + } + } + } + } + }, + "/evaluation/request/{evaluation_engine_id}/{order}": { + "get": { + "tags": ["evaluation"], + "summary": "Get an unevaluated run. Only for managing run evaluation scripts.", + "description": "This call is for people running their own evaluation engines. It returns the details of a run that is not yet evaluated by the given evaluation engine. It doesn't evaluate the run, it just returns the run info.", + "operationId": "Api_evaluation::evaluation_request", + "parameters": [ + { + "name": "evaluation_engine_id", + "in": "path", + "description": "The ID of the evaluation engine. You get this ID when you register a new evaluation engine with OpenML. The ID of the main evaluation engine is 1.", + "required": true, + "schema": { + "type": "string" + } + }, + { + "name": "order", + "in": "path", + "description": "When there are multiple runs still to evaluate, this defines which one to return. Options are 'normal' - the oldest run, 'reverse' - the newest run, or 'random' - a random run.", + "required": true, + "schema": { + "type": "string" + } + } + ], + "responses": { + "200": { + "description": "A list of evaluations descriptions", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/EvaluationRequest" }, - "type": "object" - }, - "DataUnprocessed": { - "properties": { - "data_unprocessed": { - "$ref": "#/components/schemas/DataUnprocessed_data_unprocessed" - } + "example": { + "evaluation_request": { + "run": [ + { + "setup_id": "68799271", + "upload_time": "2018-04-03 21:05:38", + "uploader": "1935", + "task_id": "3021", + "run_id": "8943712" + } + ] + } + } + } + } + }, + "412": { + "description": "Precondition failed. An error code and message are returned.\\n100 - Function not valid.\\n545 - No unevaluated runs according to the criteria.\\n546 - Illegal filter.\\n", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Error" + } + } + } + } + } + } + }, + "/study/{id}": { + "get": { + "tags": ["study"], + "summary": "Get study description by study id or alias. Studies are collections of OpenML tasks and/or runs, also used for benchmarks.", + "description": "Returns information about the study with the given id or alias.", + "operationId": "Api_study::study_get", + "parameters": [ + { + "name": "id", + "in": "path", + "description": "ID or alias of the study.", + "required": true, + "schema": { + "type": "string" + } + } + ], + "responses": { + "200": { + "description": "A study description", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Study" }, - "type": "object" - }, - "DataUnprocessed_data_unprocessed_dataset": { - "properties": { - "did": { - "description": "ID of the dataset a positive integer", - "type": "string" - }, - "status": { - "description": "Status of the dataset", - "type": "string" - }, - "version": { - "description": "Version of the dataset, a positive integer", - "type": "string" - }, - "name": { - "description": "The name of the dataset", - "type": "string" + "example": { + "study": { + "id": "99", + "main_entity_type": "task", + "name": "CC18 benchmark suite", + "description": "CC18 benchmark suite", + "creation_date": "2019-02-16T17:35:58", + "creator": "1159", + "data": { + "data_id": ["1", "2", "3"] }, - "format": { - "description": "The dataset format, e.g. ARFF", - "type": "string" + "tasks": { + "task_id": ["1", "2", "3"] } + } + } + } + } + }, + "412": { + "description": "Precondition failed. An error code and message are returned.\\n601 - Unknown study. The study with the given id or alias was not found in the database\\n", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Error" + } + } + } + } + } + }, + "delete": { + "tags": ["study"], + "summary": "Delete study", + "description": "Deletes a study. Upon success, it returns the ID of the deleted study.", + "operationId": "Api_study::study_delete", + "parameters": [ + { + "name": "id", + "in": "path", + "description": "Id of the study.", + "required": true, + "schema": { + "type": "integer" + } + }, + { + "name": "api_key", + "in": "query", + "description": "Api key to authenticate the user", + "required": true, + "schema": { + "type": "string" + } + } + ], + "responses": { + "200": { + "description": "ID of the deleted study", + "content": { + "application/json": { + "schema": { + "properties": { + "study_delete": { + "$ref": "#/components/schemas/inline_response_200_24_study_delete" + } + }, + "type": "object" }, - "type": "object" - }, - "EstimationProcedureList_estimationprocedures": { - "properties": { - "estimationprocedure": { - "type": "array", - "items": { - "$ref": "#/components/schemas/EstimationProcedureList_estimationprocedures_estimationprocedure" - } - } + "example": { + "study_delete": { + "id": "1" + } + } + } + } + }, + "412": { + "description": "Precondition failed. An error code and message are returned.\\n591 - Please provide API key. In order to remove your content, please authenticate.\\n592 - Study does not exists. The study ID could not be linked to an existing study.\\n593 - Study deletion failed. Please try again later.\\n", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Error" + } + } + } + } + } + } + }, + "/study/list/{filters}": { + "get": { + "tags": ["study"], + "summary": "List all studies (collections of items)", + "description": "List studies, optionally filtered by a range of properties. Any number of properties can be combined by listing them one after the other in the form '/study/list/{filter}/{value}/{filter}/{value}/...' Returns an array with all studies that match the constraints.", + "operationId": "Api_study::study_list", + "parameters": [ + { + "name": "filters", + "in": "path", + "description": "Any combination of these filters\r\n /main_entity_type/{type} - only return studies collecting entities of a given type (e.g. 'task' or 'run').\r\n /uploader/{ids} - return only evaluations uploaded by specific users, specified as a comma-separated list of user IDs, e.g. ''1,2,3''\r\n /limit/{limit}/offset/{offset} - returns only {limit} results starting from result number {offset}. Useful for paginating results. With /limit/5/offset/10, results 11..15 will be returned. Both limit and offset need to be specified.\r\n ", + "required": true, + "schema": { + "type": "string" + } + } + ], + "responses": { + "200": { + "description": "A list of studies", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/StudyList" }, - "type": "object" - }, - "TaskTypeList": { - "properties": { - "task_types": { - "$ref": "#/components/schemas/TaskTypeList_task_types" - } + "example": { + "study_list": { + "study": [ + { + "id": "1", + "alias": "Study_1", + "name": "A large-scale comparison of classification algorithms", + "creation_date": "2017-07-20 15:51:20", + "creator": "2" + }, + { + "id": "2", + "alias": "Study_2", + "name": "Fast Algorithm Selection using Learning Curves", + "creation_date": "2017-07-20 15:51:20", + "creator": "2" + } + ] + } + } + } + } + }, + "412": { + "description": "Precondition failed. An error code and message are returned.\\n", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Error" + } + } + } + } + } + } + }, + "/study": { + "post": { + "tags": ["study"], + "summary": "Create new study", + "description": "Creates a new study. Upon success, it returns the study id.", + "operationId": "Api_study::study_create", + "parameters": [ + { + "name": "description", + "in": "query", + "description": "An XML file describing the study. Also see the [XSD schema](https://www.openml.org/api/v1/xsd/openml.study.upload) and an [XML example](https://www.openml.org/api/v1/xml_example/study).", + "required": true, + "schema": { + "type": "file" + } + }, + { + "name": "api_key", + "in": "query", + "description": "Api key to authenticate the user", + "required": true, + "schema": { + "type": "string" + } + } + ], + "responses": { + "200": { + "description": "Id of the uploaded study", + "content": { + "application/json": { + "schema": { + "properties": { + "upload_study": { + "$ref": "#/components/schemas/inline_response_200_25_upload_study" + } + }, + "type": "object" }, - "type": "object" - }, - "Run_run_description_output_data_evaluation": { - "properties": { - "array_data": { - "description": "For composite evaluation measures (e.g. per-class measures, confusion matrix), a string (JSON) representation of the evaluation.", - "type": "string" - }, - "name": { - "description": "The name of the evaluation measure", - "type": "string" - }, - "value": { - "description": "The result of the evaluation", - "type": "string" - }, - "flow_id": { - "description": "The id of the code used to compute this evaluation method", - "type": "string" - } + "example": { + "upload_study": { + "id": "4328" + } + } + } + } + }, + "412": { + "description": "Precondition failed. An error code and message are returned.\\n1031 - Description file not present. Please upload the study description.\\n1032 - Problem validating uploaded description file. The XML description format does not meet the standards. See the XSD schema.\\n1033 - Illegal main entity type. Currently only collections of tasks and can be created.\\n1034 - Linked entities are not of the correct type fot this study.\\n1035 - Benchmark suites can only be linked to run studies.\\n1036 - Referred benchmark suite cannot be found.\\n1037 - Referred benchmark suite should be a task collection.\\n1038 - Study alias is not unique.\\n1039 - Dataset insertion problem. Please contact the administrators.\\n", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Error" + } + } + } + } + } + } + }, + "/study/{id}/attach": { + "post": { + "tags": ["study"], + "summary": "Attach a new entity to a study", + "description": "Attach a new entity to an exising study. Upon success, it returns the study id, type, and linked entities.", + "operationId": "Api_study::study_attach", + "parameters": [ + { + "name": "id", + "in": "path", + "description": "Id of the study. Supplied in the URL path.", + "required": true, + "schema": { + "type": "integer" + } + }, + { + "name": "ids", + "in": "query", + "description": "Comma-separated list of entity IDs to be attached to the study. For instance, if this is a run study, the list of run IDs that need to be added (attached) to the study. Must be supplied as a POST variable.", + "required": true, + "schema": { + "type": "string" + } + }, + { + "name": "api_key", + "in": "query", + "description": "Api key to authenticate the user", + "required": true, + "schema": { + "type": "string" + } + } + ], + "responses": { + "200": { + "description": "Properties of the updated study", + "content": { + "application/json": { + "schema": { + "properties": { + "study_attach": { + "$ref": "#/components/schemas/inline_response_200_26_study_attach" + } + }, + "type": "object" }, - "type": "object" - }, - "TaskList_task_quality": { - "properties": { - "name": { - "description": "The name of the quality", - "type": "string" - }, - "value": { - "description": "The value of the quality", - "type": "string" - } + "example": { + "study_attach": { + "id": "1", + "main_entity_type": "task", + "linked_entities": "5" + } + } + } + } + }, + "412": { + "description": "Precondition failed. An error code and message are returned.\\n1041 - Could not find study. Check the study ID in your request.\\n1042 - Cannnot attach entities to legacy studies.\\n1043 - Please provide POST field 'ids'.\\n1044 - Please ensure that the 'ids' in the POST field is a list of natural numbers.\\n1045 - Could not attach entities to the study. It appears as if the entity does not exist.\\n", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Error" + } + } + } + } + } + } + }, + "/study/{id}/detach": { + "post": { + "tags": ["study"], + "summary": "Detach an entity from a study", + "description": "Detach an entity from an exising study. Upon success, it returns the study id, type, and linked entities.", + "operationId": "Api_study::study_detach", + "parameters": [ + { + "name": "id", + "in": "path", + "description": "Id of the study.", + "required": true, + "schema": { + "type": "integer" + } + }, + { + "name": "ids", + "in": "query", + "description": "Comma-separated list of entity IDs to be detached from the study. For instance, if this is a run study, the list of run IDs that need to be removed (detached) from the study. Must be supplied as a POST variable.", + "required": true, + "schema": { + "type": "string" + } + }, + { + "name": "api_key", + "in": "query", + "description": "Api key to authenticate the user", + "required": true, + "schema": { + "type": "string" + } + } + ], + "responses": { + "200": { + "description": "Properties of the updated study", + "content": { + "application/json": { + "schema": { + "properties": { + "upload_study": { + "$ref": "#/components/schemas/inline_response_200_26_study_attach" + } + }, + "type": "object" }, - "type": "object" - }, - "Task_task_description": { - "properties": { - "input": { - "type": "array", - "items": { - "$ref": "#/components/schemas/Task_task_description_input" - } - }, - "task_type": { - "description": "The type of the task, e.g. Supervised Classification", - "type": "string" - }, - "tag": { - "description": "Tags added by OpenML uers. Includes study tags in the form 'study_1'", - "type": "array", - "items": { - "type": "string" - } - }, - "task_id": { - "description": "ID of the task, a positive integer", - "type": "string" - }, - "output": { - "type": "array", - "items": { - "$ref": "#/components/schemas/Task_task_description_output" - } - } + "example": { + "study_detach": { + "id": "1", + "main_entity_type": "task", + "linked_entities": "5" + } + } + } + } + }, + "412": { + "description": "Precondition failed. An error code and message are returned.\\n1041 - Could not find study. Check the study ID in your request.\\n1042 - Cannot attach entities to legacy studies.\\n1043 - Please provide POST field 'ids'.\\n1044 - Please ensure that the 'ids' in the POST field is a list of natural numbers.\\n1046 - Could not detach entities from the study. It appears as if the entity does not exist. \\n", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Error" + } + } + } + } + } + } + }, + "/tasktype/list": { + "get": { + "tags": ["tasktype"], + "summary": "List all task types", + "description": "Returns an array with all task types in the system.", + "responses": { + "default": { + "description": "Unexpected error", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Error" + } + } + } + }, + "200": { + "description": "A task description", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/TaskTypeList" }, - "type": "object" - }, - "inline_response_200_9_upload_flow": { - "properties": { - "id": { - "description": "ID of the uploaded flow, a positive integer", - "type": "string" - } + "example": { + "task_types": { + "task_type": [ + { + "id": "1", + "name": "Supervised Classification", + "description": "In supervised classification, you are given ...", + "creator": "Joaquin Vanschoren, Jan van Rijn, Luis Torgo, Bernd Bischl" + }, + { + "id": "2", + "name": "Supervised Regression", + "description": "Given a dataset with a numeric target ...", + "creator": "Joaquin Vanschoren, Jan van Rijn, Luis Torgo, Bernd Bischl" + } + ] + } + } + } + } + } + } + } + }, + "/setup/{id}": { + "get": { + "tags": ["setup"], + "summary": "Get a hyperparameter setup. Used only to keep track of which hyperparameter settings are use across runs.", + "description": "Returns information about a setup. The information includes the list of hyperparameters, with name, value, and default value.", + "operationId": "Api_setup::setup", + "parameters": [ + { + "name": "id", + "in": "path", + "description": "ID of the hyperparameter setup (configuration). These IDs are stated in run descriptions.", + "required": true, + "schema": { + "type": "integer" + } + } + ], + "responses": { + "200": { + "description": "A setup description", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Setup" }, - "type": "object" - }, - "Flow_flow_description": { - "properties": { - "upload_date": { - "description": "The datetime that the flow was uploaded, format yyyy-MM-dd HH:mm:ss", - "type": "string" - }, - "description": { - "description": "Wiki description of the flow, in (Git flavoured) markdown format", - "type": "string" - }, - "language": { - "description": "The programming language the flow is written in.", - "type": "string" - }, - "parameter": { - "type": "array", - "items": { - "$ref": "#/components/schemas/Flow_flow_description_parameter" - } - }, - "tag": { - "description": "Tags added by OpenML users. Includes study tags in the form `study_1`", - "type": "array", - "items": { - "type": "string" - } - }, - "version": { - "description": "The version of the flow, set by OpenML. A positive integer", - "type": "string" - }, - "version_label": { - "description": "The version of the flow, as defined by the uploader, for reference. Can be any format as long as it is unique.", - "type": "string" - }, - "dependencies": { - "description": "The libraries that this flow depends on, and their version numbers.", - "type": "string" - }, - "uploader": { - "description": "The uploader of the flow", - "type": "string" - }, - "id": { - "description": "ID of the flow, a positive integer", - "type": "string" - }, - "name": { - "description": "The name of the flow", - "type": "string" - } - }, - "type": "object" - }, - "Task": { - "properties": { - "task_description": { - "$ref": "#/components/schemas/Task_task_description" - } - }, - "type": "object" - }, - "Setup": { - "properties": { - "setup_parameters": { - "$ref": "#/components/schemas/Setup_setup_parameters" - } - }, - "type": "object" - }, - "FlowList_flows": { - "properties": { - "flow": { - "type": "array", - "items": { - "$ref": "#/components/schemas/FlowList_flows_flow" - } - } - }, - "type": "object" - }, - "RunTrace": { - "properties": { - "trace": { - "$ref": "#/components/schemas/RunTrace_trace" - } - }, - "type": "object" - }, - "Task_task_description_predictions_feature": { - "properties": { - "type": { - "description": "The type of the prediction feature, e.g. integer", - "type": "string" - }, - "name": { - "description": "The name of the prediction feature, e.g. row_id", - "type": "string" - } - }, - "type": "object" - }, - "inline_response_200_24_study_delete": { - "properties": { - "id": { - "description": "ID of the deleted study, a positive integer", - "type": "string" - } - }, - "type": "object" - }, - "inline_response_200_5_upload_task": { - "properties": { - "id": { - "description": "ID of the uploaded task, a positive integer", - "type": "string" - } - }, - "type": "object" - }, - "inline_response_200_13_flow_untag": { - "properties": { - "id": { - "description": "ID of the untagged flow", - "type": "string" - } - }, - "type": "object" - }, - "UserList_users": { - "properties": { - "user": { - "type": "array", - "items": { - "$ref": "#/components/schemas/UserList_users_user" - } - } - }, - "type": "object" - }, - "DataFeatures": { - "properties": { - "data_features": { - "$ref": "#/components/schemas/DataFeatures_data_features" - } - }, - "type": "object" - }, - "Task_task_description_predictions": { - "properties": { - "feature": { - "type": "array", - "items": { - "$ref": "#/components/schemas/Task_task_description_predictions_feature" - } - }, - "format": { - "description": "The fromat of the predictions, e.g. ARFF", - "type": "string" - } - }, - "type": "object" - }, - "inline_response_200_15_flow_tag": { - "properties": { - "id": { - "description": "ID of the tagged setup", - "type": "string" - } - }, - "type": "object" - }, - "Setup_setup_parameters": { - "properties": { - "parameter_setting": { - "type": "array", - "items": { - "$ref": "#/components/schemas/Setup_setup_parameters_parameter_setting" - } - }, - "flow_id": { - "description": "ID of the flow, a positive integer", - "type": "string" - } - }, - "type": "object" - }, - "DataList": { - "properties": { - "data": { - "$ref": "#/components/schemas/DataList_data" - } - }, - "type": "object" - }, - "inline_response_200_26_study_attach": { - "properties": { - "linked_entities": { - "description": "The number of linked entities", - "type": "string" - }, - "main_entity_type": { - "description": "Main entity type of the of the study", - "type": "string" - }, - "id": { - "description": "ID of the study, a positive integer", - "type": "string" - } - }, - "type": "object" - }, - "inline_response_200_2_data_tag": { - "properties": { - "id": { - "description": "ID of the tagged dataset", - "type": "string" - } - }, - "type": "object" - }, - "inline_response_200_23_upload_flow": { - "properties": { - "id": { - "description": "ID of the run with the trace, a positive integer", - "type": "string" - } - }, - "type": "object" - }, - "EvaluationRequest_evaluation_request": { - "properties": { - "run": { - "$ref": "#/components/schemas/EvaluationRequest_evaluation_request_run" - } - }, - "type": "object" - }, - "Run": { - "properties": { - "run_description": { - "$ref": "#/components/schemas/Run_run_description" - } - }, - "type": "object" - }, - "inline_response_200_6_task_tag": { - "properties": { - "id": { - "description": "ID of the tagged task", - "type": "string" - } - }, - "type": "object" - }, - "RunList": { - "properties": { - "runs": { - "$ref": "#/components/schemas/RunList_runs" - } - }, - "type": "object" - }, - "inline_response_200_17_data_delete": { - "properties": { - "id": { - "description": "ID of the deleted run, a positive integer", - "type": "string" - } - }, - "type": "object" - }, - "Task_task_description_input": { - "properties": { - "data_set": { - "$ref": "#/components/schemas/Task_task_description_data_set" - }, - "cost_matrix": { - "description": "The cost matrix, indicating the costs for each type of misclassification", - "type": "array", - "items": { - "type": "array", - "items": { - "type": "integer", - "format": "int64" - } - } - }, - "name": { - "description": "The name of the input, e.g. source_data", - "type": "string" - }, - "evaluation_measures": { - "$ref": "#/components/schemas/Task_task_description_evaluation_measures" - }, - "estimation_procedure": { - "$ref": "#/components/schemas/Task_task_description_estimation_procedure" - } - }, - "type": "object" - }, - "UserList": { - "properties": { - "users": { - "$ref": "#/components/schemas/UserList_users" - } - }, - "type": "object" - }, - "Study_study_runs": { - "properties": { - "run_id": { - "type": "array", - "items": { - "type": "string" - } - } - }, - "type": "object" - }, - "DataFeatures_data_features_feature": { - "properties": { - "index": { - "description": "Feature index", - "type": "string" - }, - "name": { - "description": "Feature name", - "type": "string" - }, - "data_type": { - "description": "Feature data type", - "type": "string" - }, - "is_target": { - "description": "Whether this feature is seen as a target feature", - "type": "string" - }, - "is_ignore": { - "description": "Whether this feature should be ignored in modelling (e.g. every value is unique)", - "type": "string" - }, - "is_row_identifier": { - "description": "Whether this feature is a row identifier", - "type": "string" - } - }, - "type": "object" - }, - "inline_response_200_21_upload_flow": { - "properties": { - "id": { - "description": "ID of the evaluated run, a positive integer", - "type": "string" - } - }, - "type": "object" - }, - "TaskType": { - "properties": { - "description": { - "description": "A description of the task type", - "type": "string" - }, - "date": { - "description": "The date when the task type was created", - "type": "string" - }, - "output": { - "type": "array", - "items": { - "$ref": "#/components/schemas/TaskType_output" - } - }, - "contributor": { - "type": "array", - "items": { - "type": "string" - } - }, - "input": { - "type": "array", - "items": { - "$ref": "#/components/schemas/TaskType_input" - } - }, - "id": { - "description": "ID of the task type, a positive integer", - "type": "string" - }, - "name": { - "description": "The name of the task type, e.g. Supervised Classification", - "type": "string" - } - }, - "type": "object" - }, - "Run_run_description_output_data_file": { - "properties": { - "did": { - "description": "The id of the uploaded file", - "type": "string" - }, - "file_id": { - "description": "The reference id of the uploaded file, for downloading afterward", - "type": "string" - }, - "name": { - "description": "The name of the uploaded file (e.g., description, predictions, model,...)", - "type": "string" - } - }, - "type": "object" - }, - "TaskType_input": { - "properties": { - "data_set": { - "$ref": "#/components/schemas/Task_task_description_data_set" - }, - "cost_matrix": { - "type": "array", - "items": { - "type": "array", - "items": { - "type": "integer", - "format": "int64" - } - } - }, - "name": { - "description": "The name of the input, e.g. source_data", - "type": "string" - }, - "evaluation_measures": { - "$ref": "#/components/schemas/Task_task_description_evaluation_measures" - }, - "estimation_procedure": { - "$ref": "#/components/schemas/Task_task_description_estimation_procedure" - } - }, - "type": "object" - }, - "Run_run_description_output_data": { - "properties": { - "evaluation": { - "type": "array", - "items": { - "$ref": "#/components/schemas/Run_run_description_output_data_evaluation" - } - }, - "file": { - "type": "array", - "items": { - "$ref": "#/components/schemas/Run_run_description_output_data_file" - } - } - }, - "type": "object" - }, - "inline_response_200_3_data_untag": { - "properties": { - "id": { - "description": "ID of the untagged dataset", - "type": "string" - } - }, - "type": "object" - }, - "Task_task_description_output": { - "properties": { - "name": { - "description": "The name of the output, e.g. predictions", - "type": "string" - }, - "predictions": { - "$ref": "#/components/schemas/Task_task_description_predictions" - } - }, - "type": "object" - }, - "DataQualityList": { - "properties": { - "data_qualities_list": { - "$ref": "#/components/schemas/DataQualityList_data_qualities_list" - } - }, - "type": "object" - }, - "DataUnprocessed_data_unprocessed": { - "properties": { - "dataset": { - "$ref": "#/components/schemas/DataUnprocessed_data_unprocessed_dataset" - } - }, - "type": "object" - }, - "Study": { - "properties": { - "study": { - "$ref": "#/components/schemas/Study_study" - } - }, - "type": "object" - }, - "DataList_data": { - "properties": { - "dataset": { - "type": "array", - "items": { - "$ref": "#/components/schemas/DataList_data_dataset" - } - } - }, - "type": "object" - }, - "UserList_users_user": { - "properties": { - "username": { - "description": "The full user name", - "type": "string" - }, - "id": { - "description": "The user ID", - "type": "string" - } - }, - "type": "object" - }, - "TaskType_output": { - "properties": { - "name": { - "description": "The name of the output, e.g. predictions", - "type": "string" - }, - "predictions": { - "$ref": "#/components/schemas/TaskType_predictions" - } - }, - "type": "object" - }, - "RunList_runs_run": { - "properties": { - "task_id": { - "description": "The ID of the task solved by this run", - "type": "string" - }, - "run_id": { - "description": "The run ID", - "type": "string" - }, - "error_message": { - "description": "Error message generated by the run (if any)", - "type": "string" - }, - "setup_id": { - "description": "Ignore (internal representation of the parameter setting)", - "type": "string" - }, - "uploader": { - "description": "The ID of the person uploading this run", - "type": "string" - }, - "flow_id": { - "description": "The ID of the flow used in this run", - "type": "string" - } - }, - "type": "object" - }, - "DataFeatures_data_features": { - "properties": { - "feature": { - "type": "array", - "items": { - "$ref": "#/components/schemas/DataFeatures_data_features_feature" - } - } - }, - "type": "object" - }, - "DataQualities_data_qualities_quality": { - "properties": { - "name": { - "description": "The name of the dataset quality measures", - "type": "string" - }, - "value": { - "description": "The value for this dataset", - "type": "string" - } - }, - "type": "object" - }, - "inline_response_200_12_flow_tag": { - "properties": { - "id": { - "description": "ID of the tagged flow", - "type": "string" - } - }, - "type": "object" - }, - "inline_response_200_8_flow_delete": { - "properties": { - "id": { - "description": "ID of the deleted flow, a positive integer", - "type": "string" - } - }, - "type": "object" - }, - "DataQualities_data_qualities": { - "properties": { - "quality": { - "type": "array", - "items": { - "$ref": "#/components/schemas/DataQualities_data_qualities_quality" - } - } - }, - "type": "object" - }, - "EvaluationRequest": { - "properties": { - "evaluation_request": { - "$ref": "#/components/schemas/EvaluationRequest_evaluation_request" - } - }, - "type": "object" - }, - "inline_response_200_18_upload_flow": { - "properties": { - "id": { - "description": "ID of the uploaded run, a positive integer", - "type": "string" - } - }, - "type": "object" - }, - "SetupList": { - "properties": { - "setups": { - "$ref": "#/components/schemas/SetupList_setups" - } - }, - "type": "object" - }, - "TaskList": { - "properties": { - "task": { - "$ref": "#/components/schemas/TaskList_task" - } - }, - "type": "object" - }, - "inline_response_200_4_task_delete": { - "properties": { - "id": { - "description": "ID of the deleted task, a positive integer", - "type": "string" - } - }, - "type": "object" - }, - "Task_task_description_data_set": { - "properties": { - "data_set_id": { - "description": "The id of the dataset", - "type": "string" - }, - "target_feature": { - "description": "The name of the target feature for this task", - "type": "string" - } - }, - "type": "object" - }, - "EvaluationList": { - "properties": { - "evaluations": { - "$ref": "#/components/schemas/EvaluationList_evaluations" - } - }, - "type": "object" - }, - "Run_run_description": { - "properties": { - "setup_string": { - "description": "Configuration of the flow as a string, to be interpreted by the flow, its library, or command line interface.", - "type": "string" - }, - "task_type": { - "description": "The type of task solved by this run (e.g., classification)", - "type": "string" - }, - "task_id": { - "description": "The id of the task solved by this run", - "type": "string" - }, - "task_evaluation_measure": { - "description": "The evaluation measure that is supposed to be optimized in the task, if any", - "type": "string" - }, - "uploader_name": { - "description": "The name of the uploader of the run", - "type": "string" - }, - "input_data": { - "$ref": "#/components/schemas/Run_run_description_input_data" - }, - "tag": { - "description": "Tags added by OpenML users. Includes study tags in the form `study_1`", - "type": "array", - "items": { - "type": "string" - } - }, - "output_data": { - "$ref": "#/components/schemas/Run_run_description_output_data" - }, - "uploader": { - "description": "The uploader of the run", - "type": "string" - }, - "flow_id": { - "description": "The id of the flow used in this run", - "type": "string" - }, - "flow_name": { - "description": "The name of the flow used in this run", - "type": "string" - }, - "id": { - "description": "ID of the run, a positive integer", - "type": "string" - }, - "parameter_setting": { - "type": "array", - "items": { - "$ref": "#/components/schemas/Run_run_description_parameter_setting" - } - } - }, - "type": "object" - }, - "FlowList": { - "properties": { - "flows": { - "$ref": "#/components/schemas/FlowList_flows" - } - }, - "type": "object" - }, - "inline_response_200_19_run_tag": { - "properties": { - "id": { - "description": "ID of the tagged run", - "type": "string" - } - }, - "type": "object" - }, - "Study_study_data": { - "properties": { - "data_id": { - "type": "array", - "items": { - "type": "string" - } - } - }, - "type": "object" - }, - "inline_response_200_data_delete": { - "properties": { - "id": { - "description": "ID of the deleted dataset, a positive integer", - "type": "string" - } - }, - "type": "object" - }, - "RunTrace_trace": { - "properties": { - "trace_iteration": { - "type": "array", - "items": { - "$ref": "#/components/schemas/RunTrace_trace_trace_iteration" - } - }, - "run_id": { - "description": "run ID", - "type": "string" - } - }, - "type": "object" - }, - "inline_response_200_7_task_untag": { - "properties": { - "id": { - "description": "ID of the untagged task", - "type": "string" - } - }, - "type": "object" - }, - "Data": { - "properties": { - "data_set_description": { - "$ref": "#/components/schemas/Data_data_set_description" - } - }, - "type": "object" - }, - "Task_task_description_evaluation_measures": { - "properties": { - "evaluation_measure": { - "description": "The evaluation measure to optimize in this task", - "type": "string" - } - }, - "type": "object" - }, - "SetupList_setups_parameter": { - "properties": { - "default_value": { - "description": "The parameter's default value", - "type": "string" - }, - "data_type": { - "description": "The parameter's data type", - "type": "string" - }, - "value": { - "description": "The parameter value in this setup", - "type": "string" - }, - "parameter_name": { - "description": "The parameter's short name", - "type": "string" - }, - "full_name": { - "description": "The parameter's full name", - "type": "string" - }, - "flow_id": { - "description": "The (sub)flow ID", - "type": "string" - }, - "flow_name": { - "description": "The (sub)flow name", - "type": "string" - }, - "id": { - "description": "The parameter ID", - "type": "string" - } - }, - "type": "object" - }, - "TaskList_task_input": { - "properties": { - "name": { - "description": "The name of the input", - "type": "string" - }, - "value": { - "description": "The value of the input", - "type": "string" - } - }, - "type": "object" - }, - "StudyList_study_list": { - "properties": { - "study": { - "type": "array", - "items": { - "$ref": "#/components/schemas/StudyList_study_list_study" - } - } - }, - "type": "object" - }, - "Study_study_tag": { - "properties": { - "write_access": { - "description": "The write access level of the study (e.g. public)", - "type": "string" - }, - "name": { - "description": "The name of the study (e.g. study_1)", - "type": "string" - } - }, - "type": "object" - }, - "Flow": { - "properties": { - "flow_description": { - "$ref": "#/components/schemas/Flow_flow_description" - } - }, - "type": "object" - }, - "Run_run_description_parameter_setting": { - "properties": { - "name": { - "description": "The name of the parameter", - "type": "string" - }, - "value": { - "description": "The value of the parameter used", - "type": "string" - } - }, - "type": "object" - }, - "EvaluationRequest_evaluation_request_run": { - "properties": { - "setup_id": { - "description": "ID of the setup, a positive integer", - "type": "string" - }, - "upload_time": { - "description": "The datetime that the dataset was uploaded, format yyyy-MM-dd HH:mm:ss", - "type": "string" - }, - "uploader": { - "description": "ID of the uploader, a positive integer", - "type": "string" - }, - "task_id": { - "description": "ID of the task, a positive integer", - "type": "string" - }, - "run_id": { - "description": "ID of the run, a positive integer", - "type": "string" - } - }, - "type": "object" - }, - "Error": { - "properties": { - "message": { - "type": "string" - }, - "code": { - "type": "integer" - }, - "additional_message": { - "type": "string" - } - }, - "type": "object" - }, - "EstimationProcedureList_estimationprocedures_estimationprocedure": { - "properties": { - "name": { - "description": "The estimation procedure name, e.g. '10 fold Crossvalidation'", - "type": "string" - }, - "folds": { - "description": "The number of cross-validation folds, e.g. '10'", - "type": "string" - }, - "stratified_sampling": { - "description": "Whether or not the sampling is stratified, 'true' or 'false'", - "type": "string" - }, - "ttid": { - "description": "The task type ID", - "type": "string" - }, - "repeats": { - "description": "The number of repeats, e.g. '10'", - "type": "string" - }, - "type": { - "description": "The estimation procedure type, e.g. 'crossvalidation'", - "type": "string" - }, - "id": { - "description": "The estimation procedure ID", - "type": "string" - } - }, - "type": "object" - }, - "TaskTypeList_task_types": { - "properties": { - "task_type": { - "type": "array", - "items": { - "$ref": "#/components/schemas/TaskTypeList_task_types_task_type" - } - } - }, - "type": "object" - }, - "TaskList_task_task": { - "properties": { - "status": { - "description": "The status of the source dataset, active, in_preparation, or deactivated", - "type": "string" - }, - "task_type": { - "description": "The type of task (e.g. Supervised Classificationr)", - "type": "string" - }, - "name": { - "description": "The name of the source dataset", - "type": "string" - }, - "task_id": { - "description": "The ID of the task", - "type": "string" - }, - "format": { - "description": "The format of the source dataset", - "type": "string" - }, - "did": { - "description": "The id of the source dataset", - "type": "string" - }, - "tag": { - "type": "array", - "items": { - "type": "string" - } - }, - "input": { - "type": "array", - "items": { - "$ref": "#/components/schemas/TaskList_task_input" - } - }, - "quality": { - "type": "array", - "items": { - "$ref": "#/components/schemas/TaskList_task_quality" - } - } - }, - "type": "object" - }, - "inline_response_200_20_run_untag": { - "properties": { - "id": { - "description": "ID of the untagged run", - "type": "string" - } - }, - "type": "object" - }, - "StudyList": { - "properties": { - "study_list": { - "$ref": "#/components/schemas/StudyList_study_list" - } - }, - "type": "object" - }, - "Study_study": { - "properties": { - "runs": { - "$ref": "#/components/schemas/Study_study_runs" - }, - "tasks": { - "$ref": "#/components/schemas/Study_study_tasks" - }, - "name": { - "description": "The name of the study", - "type": "string" - }, - "creator": { - "description": "A comma-separated list of the study creators", - "type": "string" - }, - "flows": { - "$ref": "#/components/schemas/Study_study_flows" - }, - "creation_date": { - "description": "The datetime that the dataset was uploaded, format yyyy-MM-dd HH:mm:ss", - "type": "string" - }, - "alias": { - "description": "The alias of the study", - "type": "string" - }, - "tag": { - "$ref": "#/components/schemas/Study_study_tag" - }, - "main_entity_type": { - "description": "The type of entity collected in the study (e.g. task or run)", - "type": "string" - }, - "data": { - "$ref": "#/components/schemas/Study_study_data" - }, - "id": { - "description": "The ID of the study", - "type": "string" - } - }, - "type": "object" - }, - "inline_response_200_25_upload_study": { - "properties": { - "id": { - "description": "ID of the uploaded study, a positive integer", - "type": "string" - } - }, - "type": "object" - }, - "EvaluationList_evaluations_evaluation": { - "properties": { - "function": { - "description": "The name of the evaluation function", - "type": "string" - }, - "task_id": { - "description": "The ID of the tasks solved by this run", - "type": "string" - }, - "run_id": { - "description": "The run ID", - "type": "string" - }, - "array_data": { - "description": "For structured evaluation measures, an array of evaluation values (e.g. per-class predictions, evaluation matrices,...)", - "type": "string" - }, - "value": { - "description": "The outcome of the evaluation", - "type": "string" - }, - "flow_id": { - "description": "The ID of the flow used by this run", - "type": "string" - } - }, - "type": "object" - }, - "EstimationProcedureList": { - "properties": { - "estimationprocedures": { - "$ref": "#/components/schemas/EstimationProcedureList_estimationprocedures" - } - }, - "type": "object" - }, - "DataQualityList_data_qualities_list": { - "properties": { - "quality": { - "type": "array", - "items": { - "type": "string" - } - } - }, - "type": "object" - }, - "Study_study_flows": { - "properties": { - "flow_id": { - "type": "array", - "items": { - "type": "string" - } - } - }, - "type": "object" - }, - "StudyList_study_list_study": { - "properties": { - "alias": { - "description": "The alias of the study", - "type": "string" - }, - "creation_date": { - "description": "The datetime that the dataset was uploaded, format yyyy-MM-dd HH:mm:ss", - "type": "string" - }, - "creator": { - "description": "A comma-separated list of the study creators", - "type": "string" - }, - "id": { - "description": "The ID of the study", - "type": "string" - }, - "name": { - "description": "The name of the study", - "type": "string" - } - }, - "type": "object" - }, - "Run_run_description_input_data": { - "properties": { - "dataset": { - "$ref": "#/components/schemas/Run_run_description_input_data_dataset" - } - }, - "type": "object" - }, - "TaskTypeList_task_types_task_type": { - "properties": { - "description": { - "description": "A description of the task type", - "type": "string" - }, - "creator": { - "description": "A comma-separated list of the task type creators", - "type": "string" - }, - "id": { - "description": "The ID of the task type", - "type": "string" - }, - "name": { - "description": "The name of the task type", - "type": "string" - } - }, - "type": "object" - }, - "EvaluationMeasureList_evaluation_measures": { - "properties": { - "measures": { - "$ref": "#/components/schemas/EvaluationMeasureList_evaluation_measures_measures" - } - }, - "type": "object" - }, - "TaskType_predictions": { - "properties": { - "feature": { - "type": "array", - "items": { - "$ref": "#/components/schemas/Task_task_description_predictions_feature" - } - }, - "format": { - "description": "The format of the predictions, e.g. ARFF", - "type": "string" - } - }, - "type": "object" - }, - "Flow_flow_description_parameter": { - "properties": { - "default_value": { - "description": "The default value of the parameter", - "type": "string" - }, - "name": { - "description": "The name of the parameter", - "type": "string" - }, - "data_type": { - "description": "The data type of the parameter", - "type": "string" - }, - "description": { - "description": "A description of the parameter", - "type": "string" - } - }, - "type": "object" - }, - "RunTrace_trace_trace_iteration": { - "properties": { - "setup_string": { - "description": "A JSON representation of the setup (configuration)", - "type": "string" - }, - "repeat": { - "description": "The number of the repeat in the outer cross-valudation", - "type": "string" - }, - "selected": { - "description": "Whether this setup was selected as the best one (true or false)", - "type": "string" - }, - "iteration": { - "description": "A number of the optimization iteration", - "type": "string" - }, - "fold": { - "description": "The number of the fold in the inner cross-validation", - "type": "string" - }, - "evaluation": { - "description": "The evaluation score of the setup", - "type": "string" - } - }, - "type": "object" - }, - "EvaluationMeasureList": { - "properties": { - "evaluation_measures": { - "$ref": "#/components/schemas/EvaluationMeasureList_evaluation_measures" - } - }, - "type": "object" - }, - "SetupList_setups": { - "properties": { - "setup": { - "type": "array", - "items": { - "$ref": "#/components/schemas/SetupList_setups_setup" - } - } - }, - "type": "object" - }, - "TaskList_task": { - "properties": { - "task": { - "type": "array", - "items": { - "$ref": "#/components/schemas/TaskList_task_task" - } - } + "example": { + "setup_parameters": { + "flow_id": "59", + "parameter": [ + { + "full_name": "weka.JRip(1)_F", + "parameter_name": "F", + "data_type": "option", + "default_value": "3", + "value": "3" + }, + { + "full_name": "weka.JRip(1)_N", + "parameter_name": "N", + "data_type": "option", + "default_value": "2.0", + "value": "2.0" + }, + { + "full_name": "weka.JRip(1)_O", + "parameter_name": "O", + "data_type": "option", + "default_value": "2", + "value": "2" + }, + { + "full_name": "weka.JRip(1)_S", + "parameter_name": "S", + "data_type": "option", + "default_value": "1", + "value": "1" + } + ] + } + } + } + } + }, + "412": { + "description": "Precondition failed. An error code and message are returned.\\n280 - Please provide setup ID. In order to view setup details, please provide the run ID\\n281 - Setup not found. The setup ID was invalid, or setup does not exist (anymore).\\n", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Error" + } + } + } + } + } + }, + "delete": { + "tags": ["setup"], + "summary": "Delete setup", + "description": "Deletes a setup. Upon success, it returns the ID of the deleted setup.", + "operationId": "Api_setup::setup_delete", + "parameters": [ + { + "name": "id", + "in": "path", + "description": "Id of the setup.", + "required": true, + "schema": { + "type": "integer" + } + }, + { + "name": "api_key", + "in": "query", + "description": "Api key to authenticate the user", + "required": true, + "schema": { + "type": "string" + } + } + ], + "responses": { + "200": { + "description": "ID of the deleted setup", + "content": { + "application/json": { + "schema": { + "properties": { + "study_delete": { + "$ref": "#/components/schemas/inline_response_200_14_study_delete" + } + }, + "type": "object" }, - "type": "object" - }, - "SetupList_setups_setup": { - "properties": { - "setup_id": { - "description": "The setup ID", - "type": "string" - }, - "parameter": { - "type": "array", - "items": { - "$ref": "#/components/schemas/SetupList_setups_parameter" - } - }, - "flow_id": { - "description": "The ID of the flow used by this run", - "type": "string" - } + "example": { + "setup_delete": { + "id": "1" + } + } + } + } + }, + "412": { + "description": "Precondition failed. An error code and message are returned.\\n401 - Authentication failed. Please provide API key. In order to remove your content, please authenticate.\\n402 - Setup does not exists. The setup ID could not be linked to an existing setup.\\n404 - Setup deletion failed. Setup is in use by other content (runs, schedules, etc). Can not be deleted.\\n405 - Setup deletion failed. Please try again later.\\n", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Error" + } + } + } + } + } + } + }, + "/setup/list/{filters}": { + "get": { + "tags": ["setup"], + "summary": "List and filter setups", + "description": "List setups, filtered by a range of properties. Any number of properties can be combined by listing them one after the other in the form '/setup/list/{filter}/{value}/{filter}/{value}/...' Returns an array with all evaluations that match the constraints. A maximum of 1,000 results are returned at a time, an error is returned if the result set is bigger. Use pagination (via limit and offset filters), or limit the results to certain flows, setups, or tags.", + "operationId": "Api_setup::setup_list", + "parameters": [ + { + "name": "filters", + "in": "path", + "description": "Any combination of these filters\r\n /tag/{tag} - returns only setups tagged with the given tag.\r\n /flow/{ids} - return only setups for specific flows, specified as a comma-separated list of flow IDs, e.g. ''1,2,3''\r\n /setup/{ids} - return only specific setups, specified as a comma-separated list of setup IDs, e.g. ''1,2,3''\r\n /limit/{limit}/offset/{offset} - returns only {limit} results starting from result number {offset}. Useful for paginating results. With /limit/5/offset/10, results 11..15 will be returned. Both limit and offset need to be specified.\r\n ", + "required": true, + "schema": { + "type": "string" + } + } + ], + "responses": { + "200": { + "description": "A list of setup descriptions", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/SetupList" }, - "type": "object" - }, - "Task_task_description_estimation_procedure_parameter": { - "properties": { - "name": { - "description": "The name of the parameter", - "type": "string" - }, - "value": { - "description": "The value of the parameter", - "type": "string" - } + "example": { + "setups": { + "setup": [ + { + "setup_id": "10", + "flow_id": "65", + "parameter": [ + { + "id": "4144", + "flow_id": "65", + "flow_name": "weka.RandomForest", + "full_name": "weka.RandomForest(1)_I", + "parameter_name": "I", + "data_type": "option", + "default_value": "10", + "value": "10" + }, + { + "id": "4145", + "flow_id": "65", + "flow_name": "weka.RandomForest", + "full_name": "weka.RandomForest(1)_K", + "parameter_name": "K", + "data_type": "option", + "default_value": "0", + "value": "0" + } + ] + } + ] + } + } + } + } + }, + "412": { + "description": "Precondition failed. An error code and message are returned.\\n670 - Please specify at least one filter.\\n671 - Illegal filter.\\n672 - Illegal filter input.\\n673 - Result set too big. Please use one of the filters or the limit option.\\n674 - No results, please check the filter.\\n675 - Cannot specify offset without limit.\\n676 - Requested result limit too high.\\n", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Error" + } + } + } + } + } + } + }, + "/setup/tag": { + "post": { + "tags": ["setup"], + "summary": "Tag a setup", + "description": "Tags a setup.", + "operationId": "Api_setup::setup_tag", + "parameters": [ + { + "name": "setup_id", + "in": "query", + "description": "Id of the setup.", + "required": true, + "schema": { + "type": "integer" + } + }, + { + "name": "tag", + "in": "query", + "description": "Tag name", + "required": true, + "schema": { + "type": "string" + } + }, + { + "name": "api_key", + "in": "query", + "description": "Api key to authenticate the user", + "required": true, + "schema": { + "type": "string" + } + } + ], + "responses": { + "200": { + "description": "The id of the tagged setup", + "content": { + "application/json": { + "schema": { + "properties": { + "flow_tag": { + "$ref": "#/components/schemas/inline_response_200_15_flow_tag" + } + }, + "type": "object" }, - "type": "object" - }, - "RunList_runs": { - "properties": { - "run": { - "type": "array", - "items": { - "$ref": "#/components/schemas/RunList_runs_run" - } - } + "example": { + "setup_tag": { + "id": "2" + } + } + } + } + }, + "412": { + "description": "Precondition failed. An error code and message are returned.\\n470 - In order to add a tag, please upload the entity id (either data_id, flow_id, run_id) and tag (the name of the tag).\\n471 - Entity not found. The provided entity_id {data_id, flow_id, run_id} does not correspond to an existing entity.\\n472 - Entity already tagged by this tag. The entity {dataset, flow, run} already had this tag.\\n473 - Something went wrong inserting the tag. Please contact OpenML Team.\\n474 - Internal error tagging the entity. Please contact OpenML Team.\\n", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Error" + } + } + } + } + } + } + }, + "/setup/untag": { + "post": { + "tags": ["setup"], + "summary": "Untag a setup", + "description": "Untags a setup.", + "operationId": "Api_setup::setup_untag", + "parameters": [ + { + "name": "setup_id", + "in": "query", + "description": "Id of the setup.", + "required": true, + "schema": { + "type": "integer" + } + }, + { + "name": "tag", + "in": "query", + "description": "Tag name", + "required": true, + "schema": { + "type": "string" + } + }, + { + "name": "api_key", + "in": "query", + "description": "Api key to authenticate the user", + "required": true, + "schema": { + "type": "string" + } + } + ], + "responses": { + "200": { + "description": "The id of the untagged setup", + "content": { + "application/json": { + "schema": { + "properties": { + "flow_untag": { + "$ref": "#/components/schemas/inline_response_200_16_flow_untag" + } + }, + "type": "object" }, - "type": "object" - }, - "Study_study_tasks": { - "properties": { - "task_id": { - "type": "array", - "items": { - "type": "string" - } - } + "example": { + "setup_untag": { + "id": "2" + } + } + } + } + }, + "412": { + "description": "Precondition failed. An error code and message are returned.\\n475 - Please give entity_id {data_id, flow_id, run_id} and tag. In order to remove a tag, please upload the entity id (either data_id, flow_id, run_id) and tag (the name of the tag).\\n476 - Entity {dataset, flow, run} not found. The provided entity_id {data_id, flow_id, run_id} does not correspond to an existing entity.\\n477 - Tag not found. The provided tag is not associated with the entity {dataset, flow, run}.\\n478 - Tag is not owned by you. The entity {dataset, flow, run} was tagged\\nby another user. Hence you cannot delete it.\\n479 - Internal error removing the tag. Please contact OpenML Team.\\n", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Error" + } + } + } + } + } + } + }, + "/tasktype/{id}": { + "get": { + "tags": ["tasktype"], + "summary": "Get task type description", + "description": "Returns information about a task type. The information includes a description, the given inputs and the expected outputs.", + "parameters": [ + { + "name": "id", + "in": "path", + "description": "ID of the task.", + "required": true, + "schema": { + "type": "integer" + } + } + ], + "responses": { + "200": { + "description": "A task type description", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/TaskType" }, - "type": "object" - }, - "inline_response_200_1_upload_data_set": { - "properties": { - "id": { - "description": "ID of the uploaded dataset, a positive integer", - "type": "string" - } + "example": { + "task_type": { + "id": "1", + "name": "Supervised Classification", + "description": "In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.
\\\r\n * \\\r\n * To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.
\\\r\n * \\\r\n * You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.
\\\r\n * \\\r\n * Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.", + "creator": [ + "Joaquin Vanschoren", + "Jan van Rijn", + "Luis Torgo", + "Bernd Bischl" + ], + "contributor": [ + "Bo Gao", + "Simon Fischer", + "Venkatesh Umaashankar", + "Michael Berthold", + "Bernd Wiswedel", + "Patrick Winter" + ], + "creation_date": "2013-01-24 00:00:00", + "input": [ + { + "name": "source_data", + "requirement": "required", + "data_type": "numeric" + }, + { + "name": "target_feature", + "requirement": "required", + "data_type": "string" + }, + { + "name": "estimation_procedure", + "requirement": "required", + "data_type": "numeric" + }, + { + "name": "cost_matrix", + "data_type": "json" + }, + { + "name": "custom_testset", + "data_type": "json" + }, + { + "name": "evaluation_measures", + "data_type": "string" + } + ] + } + } + } + } + }, + "412": { + "description": "Precondition failed. An error code and message are returned.\\n240 - Please provide task type ID.\\n241 - Unknown task type. The task type with the given id was not found in the database\\n", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Error" + } + } + } + } + } + } + }, + "/evaluationmeasure/list": { + "get": { + "tags": ["evaluationmeasure"], + "summary": "List all evaluation measures", + "description": "Returns an array with all model evaluation measures in the system.", + "operationId": "Api_evaluationmeasure::evaluationmeasure_list", + "responses": { + "200": { + "description": "A list of evaluation measures", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/EvaluationMeasureList" }, - "type": "object" - }, - "Setup_setup_parameters_parameter_setting": { - "properties": { - "default_value": { - "description": "The default value of the parameter used", - "type": "string" - }, - "value": { - "description": "The value of the parameter used", - "type": "string" - }, - "data_type": { - "description": "The data type of the hyperparameter value", - "type": "string" - }, - "full_name": { - "description": "The full name of the hyperparameter", - "type": "string" - }, - "parameter_name": { - "description": "The short name of the hyperparameter", - "type": "string" - } + "example": { + "evaluation_measures": { + "measures": { + "measure": [ + "area_under_roc_curve", + "average_cost", + "binominal_test", + "build_cpu_time" + ] + } + } + } + } + } + } + } + } + }, + "/estimationprocedure/list": { + "get": { + "tags": ["estimationprocedure"], + "summary": "List all estimation procedures", + "description": "Returns an array with all model performance estimation procedures in the system.", + "operationId": "Api_estimationprocedure::estimationprocedure_list", + "responses": { + "200": { + "description": "A list of estimation procedures", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/EstimationProcedureList" }, - "type": "object" - }, - "DataQualities": { - "properties": { - "data_qualities": { - "$ref": "#/components/schemas/DataQualities_data_qualities" - } + "example": { + "estimationprocedures": { + "estimationprocedure": [ + { + "id": "1", + "ttid": "1", + "name": "10-fold Crossvalidation", + "type": "crossvalidation", + "repeats": "1", + "folds": "10", + "stratified_sampling": "true" + }, + { + "id": "2", + "ttid": "1", + "name": "5 times 2-fold Crossvalidation", + "type": "crossvalidation", + "repeats": "5", + "folds": "2", + "stratified_sampling": "true" + } + ] + } + } + } + } + }, + "412": { + "description": "Precondition failed. An error code and message are returned.\\n500 - No model performance estimation procedures available.\\n", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Error" + } + } + } + } + } + } + }, + "/user/list": { + "get": { + "tags": ["user"], + "summary": "List all users by user id. Only accessible to admins.", + "description": "Returns an array with all user ids and names.", + "operationId": "Api_user::username_list", + "responses": { + "200": { + "description": "A list of users", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/UserList" }, - "type": "object" + "example": { + "users": { + "user": [ + { + "id": "1", + "username": "janvanrijn@gmail.com" + }, + { + "id": "2", + "username": "joaquin.vanschoren@gmail.com" + } + ] + } + } + } } + } } + } + } + }, + "components": { + "schemas": { + "inline_response_200_16_flow_untag": { + "properties": { + "id": { + "description": "ID of the untagged setup", + "type": "string" + } + }, + "type": "object" + }, + "EvaluationMeasureList_evaluation_measures_measures": { + "properties": { + "measure": { + "description": "The evaluation measure names", + "type": "array", + "items": { + "type": "string" + } + } + }, + "type": "object" + }, + "inline_response_200_10_flow_exists": { + "properties": { + "id": { + "description": "The id of the flow with the given name and (external) version", + "type": "string" + }, + "exists": { + "description": "true or false", + "type": "string" + } + }, + "type": "object" + }, + "Data_data_set_description": { + "properties": { + "default_target_attribute": { + "description": "For tabular data, the name of the column that is typically used as the target attribute for that data set", + "type": "string" + }, + "upload_date": { + "description": "The datetime that the dataset was uploaded, format yyyy-MM-dd HH:mm:ss", + "type": "string" + }, + "version_label": { + "description": "The version of the dataset, as defined by the uploader, for reference. Can be any format as long as it is unique.", + "type": "string" + }, + "description": { + "description": "Wiki description of the dataset, in (Git flavoured) markdown format", + "type": "string" + }, + "format": { + "description": "Data format, for instance ARFF", + "type": "string" + }, + "url": { + "description": "The URL where the data can be downloaded", + "type": "string" + }, + "tag": { + "description": "Tags added by OpenML users. Includes study tags in the form `study_1`", + "type": "array", + "items": { + "type": "string" + } + }, + "visibility": { + "description": "Who can see the dataset. For instance `public`.", + "type": "string" + }, + "md5_checksum": { + "description": "Checksum to verify downloads of the dataset", + "type": "string" + }, + "version": { + "description": "The version of the dataset, set by OpenML. A positive integer", + "type": "string" + }, + "status": { + "description": "active, in_preparation, or deactivated", + "type": "string" + }, + "file_id": { + "description": "The ID of the dataset file stored on the OpenML server", + "type": "string" + }, + "licence": { + "description": "The licence granted for using the dataset, for instance Public or CC-BY", + "type": "string" + }, + "original_data_url": { + "description": "The URL where the original data is hosted.", + "type": "string" + }, + "id": { + "description": "ID of the dataset, a positive integer", + "type": "string" + }, + "name": { + "description": "The name of the dataset", + "type": "string" + } + }, + "type": "object" + }, + "DataList_data_dataset": { + "properties": { + "did": { + "description": "The dataset ID", + "type": "string" + }, + "status": { + "description": "The dataset status, either in_preparation, active, or deactivated", + "type": "string" + }, + "quality": { + "type": "array", + "items": { + "$ref": "#/components/schemas/DataList_data_quality" + } + }, + "name": { + "description": "The dataset name", + "type": "string" + }, + "format": { + "description": "The data format of the dataset, e.g. ARFF", + "type": "string" + } + }, + "type": "object" + }, + "Task_task_description_estimation_procedure": { + "properties": { + "parameter": { + "type": "array", + "items": { + "$ref": "#/components/schemas/Task_task_description_estimation_procedure_parameter" + } + }, + "type": { + "description": "The type of procedure, e.g. crossvalidation", + "type": "string" + }, + "data_splits_url": { + "description": "The url where the data splits can be downloaded", + "type": "string" + } + }, + "type": "object" + }, + "DataList_data_quality": { + "properties": { + "name": { + "description": "The name of the property", + "type": "string" + }, + "value": { + "description": "The value of the property", + "type": "string" + } + }, + "type": "object" + }, + "FlowList_flows_flow": { + "properties": { + "full_name": { + "description": "The full flow name (name + internal version number)", + "type": "string" + }, + "external_version": { + "description": "The external flow version", + "type": "string" + }, + "version": { + "description": "The internal flow version", + "type": "string" + }, + "uploader": { + "description": "The ID of the person who uploaded the flow", + "type": "string" + }, + "id": { + "description": "The flow ID", + "type": "string" + }, + "name": { + "description": "The flow name", + "type": "string" + } + }, + "type": "object" + }, + "Run_run_description_input_data_dataset": { + "properties": { + "did": { + "description": "The id of the dataset", + "type": "string" + }, + "url": { + "description": "The download url of the dataset", + "type": "string" + }, + "name": { + "description": "The name of the dataset", + "type": "string" + } + }, + "type": "object" + }, + "EvaluationList_evaluations": { + "properties": { + "evaluation": { + "type": "array", + "items": { + "$ref": "#/components/schemas/EvaluationList_evaluations_evaluation" + } + } + }, + "type": "object" + }, + "inline_response_200_14_study_delete": { + "properties": { + "id": { + "description": "ID of the deleted setup, a positive integer", + "type": "string" + } + }, + "type": "object" + }, + "DataUnprocessed": { + "properties": { + "data_unprocessed": { + "$ref": "#/components/schemas/DataUnprocessed_data_unprocessed" + } + }, + "type": "object" + }, + "DataUnprocessed_data_unprocessed_dataset": { + "properties": { + "did": { + "description": "ID of the dataset a positive integer", + "type": "string" + }, + "status": { + "description": "Status of the dataset", + "type": "string" + }, + "version": { + "description": "Version of the dataset, a positive integer", + "type": "string" + }, + "name": { + "description": "The name of the dataset", + "type": "string" + }, + "format": { + "description": "The dataset format, e.g. ARFF", + "type": "string" + } + }, + "type": "object" + }, + "EstimationProcedureList_estimationprocedures": { + "properties": { + "estimationprocedure": { + "type": "array", + "items": { + "$ref": "#/components/schemas/EstimationProcedureList_estimationprocedures_estimationprocedure" + } + } + }, + "type": "object" + }, + "TaskTypeList": { + "properties": { + "task_types": { + "$ref": "#/components/schemas/TaskTypeList_task_types" + } + }, + "type": "object" + }, + "Run_run_description_output_data_evaluation": { + "properties": { + "array_data": { + "description": "For composite evaluation measures (e.g. per-class measures, confusion matrix), a string (JSON) representation of the evaluation.", + "type": "string" + }, + "name": { + "description": "The name of the evaluation measure", + "type": "string" + }, + "value": { + "description": "The result of the evaluation", + "type": "string" + }, + "flow_id": { + "description": "The id of the code used to compute this evaluation method", + "type": "string" + } + }, + "type": "object" + }, + "TaskList_task_quality": { + "properties": { + "name": { + "description": "The name of the quality", + "type": "string" + }, + "value": { + "description": "The value of the quality", + "type": "string" + } + }, + "type": "object" + }, + "Task_task_description": { + "properties": { + "input": { + "type": "array", + "items": { + "$ref": "#/components/schemas/Task_task_description_input" + } + }, + "task_type": { + "description": "The type of the task, e.g. Supervised Classification", + "type": "string" + }, + "tag": { + "description": "Tags added by OpenML uers. Includes study tags in the form 'study_1'", + "type": "array", + "items": { + "type": "string" + } + }, + "task_id": { + "description": "ID of the task, a positive integer", + "type": "string" + }, + "output": { + "type": "array", + "items": { + "$ref": "#/components/schemas/Task_task_description_output" + } + } + }, + "type": "object" + }, + "inline_response_200_9_upload_flow": { + "properties": { + "id": { + "description": "ID of the uploaded flow, a positive integer", + "type": "string" + } + }, + "type": "object" + }, + "Flow_flow_description": { + "properties": { + "upload_date": { + "description": "The datetime that the flow was uploaded, format yyyy-MM-dd HH:mm:ss", + "type": "string" + }, + "description": { + "description": "Wiki description of the flow, in (Git flavoured) markdown format", + "type": "string" + }, + "language": { + "description": "The programming language the flow is written in.", + "type": "string" + }, + "parameter": { + "type": "array", + "items": { + "$ref": "#/components/schemas/Flow_flow_description_parameter" + } + }, + "tag": { + "description": "Tags added by OpenML users. Includes study tags in the form `study_1`", + "type": "array", + "items": { + "type": "string" + } + }, + "version": { + "description": "The version of the flow, set by OpenML. A positive integer", + "type": "string" + }, + "version_label": { + "description": "The version of the flow, as defined by the uploader, for reference. Can be any format as long as it is unique.", + "type": "string" + }, + "dependencies": { + "description": "The libraries that this flow depends on, and their version numbers.", + "type": "string" + }, + "uploader": { + "description": "The uploader of the flow", + "type": "string" + }, + "id": { + "description": "ID of the flow, a positive integer", + "type": "string" + }, + "name": { + "description": "The name of the flow", + "type": "string" + } + }, + "type": "object" + }, + "Task": { + "properties": { + "task_description": { + "$ref": "#/components/schemas/Task_task_description" + } + }, + "type": "object" + }, + "Setup": { + "properties": { + "setup_parameters": { + "$ref": "#/components/schemas/Setup_setup_parameters" + } + }, + "type": "object" + }, + "FlowList_flows": { + "properties": { + "flow": { + "type": "array", + "items": { + "$ref": "#/components/schemas/FlowList_flows_flow" + } + } + }, + "type": "object" + }, + "RunTrace": { + "properties": { + "trace": { + "$ref": "#/components/schemas/RunTrace_trace" + } + }, + "type": "object" + }, + "Task_task_description_predictions_feature": { + "properties": { + "type": { + "description": "The type of the prediction feature, e.g. integer", + "type": "string" + }, + "name": { + "description": "The name of the prediction feature, e.g. row_id", + "type": "string" + } + }, + "type": "object" + }, + "inline_response_200_24_study_delete": { + "properties": { + "id": { + "description": "ID of the deleted study, a positive integer", + "type": "string" + } + }, + "type": "object" + }, + "inline_response_200_5_upload_task": { + "properties": { + "id": { + "description": "ID of the uploaded task, a positive integer", + "type": "string" + } + }, + "type": "object" + }, + "inline_response_200_13_flow_untag": { + "properties": { + "id": { + "description": "ID of the untagged flow", + "type": "string" + } + }, + "type": "object" + }, + "UserList_users": { + "properties": { + "user": { + "type": "array", + "items": { + "$ref": "#/components/schemas/UserList_users_user" + } + } + }, + "type": "object" + }, + "DataFeatures": { + "properties": { + "data_features": { + "$ref": "#/components/schemas/DataFeatures_data_features" + } + }, + "type": "object" + }, + "Task_task_description_predictions": { + "properties": { + "feature": { + "type": "array", + "items": { + "$ref": "#/components/schemas/Task_task_description_predictions_feature" + } + }, + "format": { + "description": "The fromat of the predictions, e.g. ARFF", + "type": "string" + } + }, + "type": "object" + }, + "inline_response_200_15_flow_tag": { + "properties": { + "id": { + "description": "ID of the tagged setup", + "type": "string" + } + }, + "type": "object" + }, + "Setup_setup_parameters": { + "properties": { + "parameter_setting": { + "type": "array", + "items": { + "$ref": "#/components/schemas/Setup_setup_parameters_parameter_setting" + } + }, + "flow_id": { + "description": "ID of the flow, a positive integer", + "type": "string" + } + }, + "type": "object" + }, + "DataList": { + "properties": { + "data": { + "$ref": "#/components/schemas/DataList_data" + } + }, + "type": "object" + }, + "inline_response_200_26_study_attach": { + "properties": { + "linked_entities": { + "description": "The number of linked entities", + "type": "string" + }, + "main_entity_type": { + "description": "Main entity type of the of the study", + "type": "string" + }, + "id": { + "description": "ID of the study, a positive integer", + "type": "string" + } + }, + "type": "object" + }, + "inline_response_200_2_data_tag": { + "properties": { + "id": { + "description": "ID of the tagged dataset", + "type": "string" + } + }, + "type": "object" + }, + "inline_response_200_23_upload_flow": { + "properties": { + "id": { + "description": "ID of the run with the trace, a positive integer", + "type": "string" + } + }, + "type": "object" + }, + "EvaluationRequest_evaluation_request": { + "properties": { + "run": { + "$ref": "#/components/schemas/EvaluationRequest_evaluation_request_run" + } + }, + "type": "object" + }, + "Run": { + "properties": { + "run_description": { + "$ref": "#/components/schemas/Run_run_description" + } + }, + "type": "object" + }, + "inline_response_200_6_task_tag": { + "properties": { + "id": { + "description": "ID of the tagged task", + "type": "string" + } + }, + "type": "object" + }, + "RunList": { + "properties": { + "runs": { + "$ref": "#/components/schemas/RunList_runs" + } + }, + "type": "object" + }, + "inline_response_200_17_data_delete": { + "properties": { + "id": { + "description": "ID of the deleted run, a positive integer", + "type": "string" + } + }, + "type": "object" + }, + "Task_task_description_input": { + "properties": { + "data_set": { + "$ref": "#/components/schemas/Task_task_description_data_set" + }, + "cost_matrix": { + "description": "The cost matrix, indicating the costs for each type of misclassification", + "type": "array", + "items": { + "type": "array", + "items": { + "type": "integer", + "format": "int64" + } + } + }, + "name": { + "description": "The name of the input, e.g. source_data", + "type": "string" + }, + "evaluation_measures": { + "$ref": "#/components/schemas/Task_task_description_evaluation_measures" + }, + "estimation_procedure": { + "$ref": "#/components/schemas/Task_task_description_estimation_procedure" + } + }, + "type": "object" + }, + "UserList": { + "properties": { + "users": { + "$ref": "#/components/schemas/UserList_users" + } + }, + "type": "object" + }, + "Study_study_runs": { + "properties": { + "run_id": { + "type": "array", + "items": { + "type": "string" + } + } + }, + "type": "object" + }, + "DataFeatures_data_features_feature": { + "properties": { + "index": { + "description": "Feature index", + "type": "string" + }, + "name": { + "description": "Feature name", + "type": "string" + }, + "data_type": { + "description": "Feature data type", + "type": "string" + }, + "is_target": { + "description": "Whether this feature is seen as a target feature", + "type": "string" + }, + "is_ignore": { + "description": "Whether this feature should be ignored in modelling (e.g. every value is unique)", + "type": "string" + }, + "is_row_identifier": { + "description": "Whether this feature is a row identifier", + "type": "string" + } + }, + "type": "object" + }, + "inline_response_200_21_upload_flow": { + "properties": { + "id": { + "description": "ID of the evaluated run, a positive integer", + "type": "string" + } + }, + "type": "object" + }, + "TaskType": { + "properties": { + "description": { + "description": "A description of the task type", + "type": "string" + }, + "date": { + "description": "The date when the task type was created", + "type": "string" + }, + "output": { + "type": "array", + "items": { + "$ref": "#/components/schemas/TaskType_output" + } + }, + "contributor": { + "type": "array", + "items": { + "type": "string" + } + }, + "input": { + "type": "array", + "items": { + "$ref": "#/components/schemas/TaskType_input" + } + }, + "id": { + "description": "ID of the task type, a positive integer", + "type": "string" + }, + "name": { + "description": "The name of the task type, e.g. Supervised Classification", + "type": "string" + } + }, + "type": "object" + }, + "Run_run_description_output_data_file": { + "properties": { + "did": { + "description": "The id of the uploaded file", + "type": "string" + }, + "file_id": { + "description": "The reference id of the uploaded file, for downloading afterward", + "type": "string" + }, + "name": { + "description": "The name of the uploaded file (e.g., description, predictions, model,...)", + "type": "string" + } + }, + "type": "object" + }, + "TaskType_input": { + "properties": { + "data_set": { + "$ref": "#/components/schemas/Task_task_description_data_set" + }, + "cost_matrix": { + "type": "array", + "items": { + "type": "array", + "items": { + "type": "integer", + "format": "int64" + } + } + }, + "name": { + "description": "The name of the input, e.g. source_data", + "type": "string" + }, + "evaluation_measures": { + "$ref": "#/components/schemas/Task_task_description_evaluation_measures" + }, + "estimation_procedure": { + "$ref": "#/components/schemas/Task_task_description_estimation_procedure" + } + }, + "type": "object" + }, + "Run_run_description_output_data": { + "properties": { + "evaluation": { + "type": "array", + "items": { + "$ref": "#/components/schemas/Run_run_description_output_data_evaluation" + } + }, + "file": { + "type": "array", + "items": { + "$ref": "#/components/schemas/Run_run_description_output_data_file" + } + } + }, + "type": "object" + }, + "inline_response_200_3_data_untag": { + "properties": { + "id": { + "description": "ID of the untagged dataset", + "type": "string" + } + }, + "type": "object" + }, + "Task_task_description_output": { + "properties": { + "name": { + "description": "The name of the output, e.g. predictions", + "type": "string" + }, + "predictions": { + "$ref": "#/components/schemas/Task_task_description_predictions" + } + }, + "type": "object" + }, + "DataQualityList": { + "properties": { + "data_qualities_list": { + "$ref": "#/components/schemas/DataQualityList_data_qualities_list" + } + }, + "type": "object" + }, + "DataUnprocessed_data_unprocessed": { + "properties": { + "dataset": { + "$ref": "#/components/schemas/DataUnprocessed_data_unprocessed_dataset" + } + }, + "type": "object" + }, + "Study": { + "properties": { + "study": { + "$ref": "#/components/schemas/Study_study" + } + }, + "type": "object" + }, + "DataList_data": { + "properties": { + "dataset": { + "type": "array", + "items": { + "$ref": "#/components/schemas/DataList_data_dataset" + } + } + }, + "type": "object" + }, + "UserList_users_user": { + "properties": { + "username": { + "description": "The full user name", + "type": "string" + }, + "id": { + "description": "The user ID", + "type": "string" + } + }, + "type": "object" + }, + "TaskType_output": { + "properties": { + "name": { + "description": "The name of the output, e.g. predictions", + "type": "string" + }, + "predictions": { + "$ref": "#/components/schemas/TaskType_predictions" + } + }, + "type": "object" + }, + "RunList_runs_run": { + "properties": { + "task_id": { + "description": "The ID of the task solved by this run", + "type": "string" + }, + "run_id": { + "description": "The run ID", + "type": "string" + }, + "error_message": { + "description": "Error message generated by the run (if any)", + "type": "string" + }, + "setup_id": { + "description": "Ignore (internal representation of the parameter setting)", + "type": "string" + }, + "uploader": { + "description": "The ID of the person uploading this run", + "type": "string" + }, + "flow_id": { + "description": "The ID of the flow used in this run", + "type": "string" + } + }, + "type": "object" + }, + "DataFeatures_data_features": { + "properties": { + "feature": { + "type": "array", + "items": { + "$ref": "#/components/schemas/DataFeatures_data_features_feature" + } + } + }, + "type": "object" + }, + "DataQualities_data_qualities_quality": { + "properties": { + "name": { + "description": "The name of the dataset quality measures", + "type": "string" + }, + "value": { + "description": "The value for this dataset", + "type": "string" + } + }, + "type": "object" + }, + "inline_response_200_12_flow_tag": { + "properties": { + "id": { + "description": "ID of the tagged flow", + "type": "string" + } + }, + "type": "object" + }, + "inline_response_200_8_flow_delete": { + "properties": { + "id": { + "description": "ID of the deleted flow, a positive integer", + "type": "string" + } + }, + "type": "object" + }, + "DataQualities_data_qualities": { + "properties": { + "quality": { + "type": "array", + "items": { + "$ref": "#/components/schemas/DataQualities_data_qualities_quality" + } + } + }, + "type": "object" + }, + "EvaluationRequest": { + "properties": { + "evaluation_request": { + "$ref": "#/components/schemas/EvaluationRequest_evaluation_request" + } + }, + "type": "object" + }, + "inline_response_200_18_upload_flow": { + "properties": { + "id": { + "description": "ID of the uploaded run, a positive integer", + "type": "string" + } + }, + "type": "object" + }, + "SetupList": { + "properties": { + "setups": { + "$ref": "#/components/schemas/SetupList_setups" + } + }, + "type": "object" + }, + "TaskList": { + "properties": { + "task": { + "$ref": "#/components/schemas/TaskList_task" + } + }, + "type": "object" + }, + "inline_response_200_4_task_delete": { + "properties": { + "id": { + "description": "ID of the deleted task, a positive integer", + "type": "string" + } + }, + "type": "object" + }, + "Task_task_description_data_set": { + "properties": { + "data_set_id": { + "description": "The id of the dataset", + "type": "string" + }, + "target_feature": { + "description": "The name of the target feature for this task", + "type": "string" + } + }, + "type": "object" + }, + "EvaluationList": { + "properties": { + "evaluations": { + "$ref": "#/components/schemas/EvaluationList_evaluations" + } + }, + "type": "object" + }, + "Run_run_description": { + "properties": { + "setup_string": { + "description": "Configuration of the flow as a string, to be interpreted by the flow, its library, or command line interface.", + "type": "string" + }, + "task_type": { + "description": "The type of task solved by this run (e.g., classification)", + "type": "string" + }, + "task_id": { + "description": "The id of the task solved by this run", + "type": "string" + }, + "task_evaluation_measure": { + "description": "The evaluation measure that is supposed to be optimized in the task, if any", + "type": "string" + }, + "uploader_name": { + "description": "The name of the uploader of the run", + "type": "string" + }, + "input_data": { + "$ref": "#/components/schemas/Run_run_description_input_data" + }, + "tag": { + "description": "Tags added by OpenML users. Includes study tags in the form `study_1`", + "type": "array", + "items": { + "type": "string" + } + }, + "output_data": { + "$ref": "#/components/schemas/Run_run_description_output_data" + }, + "uploader": { + "description": "The uploader of the run", + "type": "string" + }, + "flow_id": { + "description": "The id of the flow used in this run", + "type": "string" + }, + "flow_name": { + "description": "The name of the flow used in this run", + "type": "string" + }, + "id": { + "description": "ID of the run, a positive integer", + "type": "string" + }, + "parameter_setting": { + "type": "array", + "items": { + "$ref": "#/components/schemas/Run_run_description_parameter_setting" + } + } + }, + "type": "object" + }, + "FlowList": { + "properties": { + "flows": { + "$ref": "#/components/schemas/FlowList_flows" + } + }, + "type": "object" + }, + "inline_response_200_19_run_tag": { + "properties": { + "id": { + "description": "ID of the tagged run", + "type": "string" + } + }, + "type": "object" + }, + "Study_study_data": { + "properties": { + "data_id": { + "type": "array", + "items": { + "type": "string" + } + } + }, + "type": "object" + }, + "inline_response_200_data_delete": { + "properties": { + "id": { + "description": "ID of the deleted dataset, a positive integer", + "type": "string" + } + }, + "type": "object" + }, + "RunTrace_trace": { + "properties": { + "trace_iteration": { + "type": "array", + "items": { + "$ref": "#/components/schemas/RunTrace_trace_trace_iteration" + } + }, + "run_id": { + "description": "run ID", + "type": "string" + } + }, + "type": "object" + }, + "inline_response_200_7_task_untag": { + "properties": { + "id": { + "description": "ID of the untagged task", + "type": "string" + } + }, + "type": "object" + }, + "Data": { + "properties": { + "data_set_description": { + "$ref": "#/components/schemas/Data_data_set_description" + } + }, + "type": "object" + }, + "Task_task_description_evaluation_measures": { + "properties": { + "evaluation_measure": { + "description": "The evaluation measure to optimize in this task", + "type": "string" + } + }, + "type": "object" + }, + "SetupList_setups_parameter": { + "properties": { + "default_value": { + "description": "The parameter's default value", + "type": "string" + }, + "data_type": { + "description": "The parameter's data type", + "type": "string" + }, + "value": { + "description": "The parameter value in this setup", + "type": "string" + }, + "parameter_name": { + "description": "The parameter's short name", + "type": "string" + }, + "full_name": { + "description": "The parameter's full name", + "type": "string" + }, + "flow_id": { + "description": "The (sub)flow ID", + "type": "string" + }, + "flow_name": { + "description": "The (sub)flow name", + "type": "string" + }, + "id": { + "description": "The parameter ID", + "type": "string" + } + }, + "type": "object" + }, + "TaskList_task_input": { + "properties": { + "name": { + "description": "The name of the input", + "type": "string" + }, + "value": { + "description": "The value of the input", + "type": "string" + } + }, + "type": "object" + }, + "StudyList_study_list": { + "properties": { + "study": { + "type": "array", + "items": { + "$ref": "#/components/schemas/StudyList_study_list_study" + } + } + }, + "type": "object" + }, + "Study_study_tag": { + "properties": { + "write_access": { + "description": "The write access level of the study (e.g. public)", + "type": "string" + }, + "name": { + "description": "The name of the study (e.g. study_1)", + "type": "string" + } + }, + "type": "object" + }, + "Flow": { + "properties": { + "flow_description": { + "$ref": "#/components/schemas/Flow_flow_description" + } + }, + "type": "object" + }, + "Run_run_description_parameter_setting": { + "properties": { + "name": { + "description": "The name of the parameter", + "type": "string" + }, + "value": { + "description": "The value of the parameter used", + "type": "string" + } + }, + "type": "object" + }, + "EvaluationRequest_evaluation_request_run": { + "properties": { + "setup_id": { + "description": "ID of the setup, a positive integer", + "type": "string" + }, + "upload_time": { + "description": "The datetime that the dataset was uploaded, format yyyy-MM-dd HH:mm:ss", + "type": "string" + }, + "uploader": { + "description": "ID of the uploader, a positive integer", + "type": "string" + }, + "task_id": { + "description": "ID of the task, a positive integer", + "type": "string" + }, + "run_id": { + "description": "ID of the run, a positive integer", + "type": "string" + } + }, + "type": "object" + }, + "Error": { + "properties": { + "message": { + "type": "string" + }, + "code": { + "type": "integer" + }, + "additional_message": { + "type": "string" + } + }, + "type": "object" + }, + "EstimationProcedureList_estimationprocedures_estimationprocedure": { + "properties": { + "name": { + "description": "The estimation procedure name, e.g. '10 fold Crossvalidation'", + "type": "string" + }, + "folds": { + "description": "The number of cross-validation folds, e.g. '10'", + "type": "string" + }, + "stratified_sampling": { + "description": "Whether or not the sampling is stratified, 'true' or 'false'", + "type": "string" + }, + "ttid": { + "description": "The task type ID", + "type": "string" + }, + "repeats": { + "description": "The number of repeats, e.g. '10'", + "type": "string" + }, + "type": { + "description": "The estimation procedure type, e.g. 'crossvalidation'", + "type": "string" + }, + "id": { + "description": "The estimation procedure ID", + "type": "string" + } + }, + "type": "object" + }, + "TaskTypeList_task_types": { + "properties": { + "task_type": { + "type": "array", + "items": { + "$ref": "#/components/schemas/TaskTypeList_task_types_task_type" + } + } + }, + "type": "object" + }, + "TaskList_task_task": { + "properties": { + "status": { + "description": "The status of the source dataset, active, in_preparation, or deactivated", + "type": "string" + }, + "task_type": { + "description": "The type of task (e.g. Supervised Classificationr)", + "type": "string" + }, + "name": { + "description": "The name of the source dataset", + "type": "string" + }, + "task_id": { + "description": "The ID of the task", + "type": "string" + }, + "format": { + "description": "The format of the source dataset", + "type": "string" + }, + "did": { + "description": "The id of the source dataset", + "type": "string" + }, + "tag": { + "type": "array", + "items": { + "type": "string" + } + }, + "input": { + "type": "array", + "items": { + "$ref": "#/components/schemas/TaskList_task_input" + } + }, + "quality": { + "type": "array", + "items": { + "$ref": "#/components/schemas/TaskList_task_quality" + } + } + }, + "type": "object" + }, + "inline_response_200_20_run_untag": { + "properties": { + "id": { + "description": "ID of the untagged run", + "type": "string" + } + }, + "type": "object" + }, + "StudyList": { + "properties": { + "study_list": { + "$ref": "#/components/schemas/StudyList_study_list" + } + }, + "type": "object" + }, + "Study_study": { + "properties": { + "runs": { + "$ref": "#/components/schemas/Study_study_runs" + }, + "tasks": { + "$ref": "#/components/schemas/Study_study_tasks" + }, + "name": { + "description": "The name of the study", + "type": "string" + }, + "creator": { + "description": "A comma-separated list of the study creators", + "type": "string" + }, + "flows": { + "$ref": "#/components/schemas/Study_study_flows" + }, + "creation_date": { + "description": "The datetime that the dataset was uploaded, format yyyy-MM-dd HH:mm:ss", + "type": "string" + }, + "alias": { + "description": "The alias of the study", + "type": "string" + }, + "tag": { + "$ref": "#/components/schemas/Study_study_tag" + }, + "main_entity_type": { + "description": "The type of entity collected in the study (e.g. task or run)", + "type": "string" + }, + "data": { + "$ref": "#/components/schemas/Study_study_data" + }, + "id": { + "description": "The ID of the study", + "type": "string" + } + }, + "type": "object" + }, + "inline_response_200_25_upload_study": { + "properties": { + "id": { + "description": "ID of the uploaded study, a positive integer", + "type": "string" + } + }, + "type": "object" + }, + "EvaluationList_evaluations_evaluation": { + "properties": { + "function": { + "description": "The name of the evaluation function", + "type": "string" + }, + "task_id": { + "description": "The ID of the tasks solved by this run", + "type": "string" + }, + "run_id": { + "description": "The run ID", + "type": "string" + }, + "array_data": { + "description": "For structured evaluation measures, an array of evaluation values (e.g. per-class predictions, evaluation matrices,...)", + "type": "string" + }, + "value": { + "description": "The outcome of the evaluation", + "type": "string" + }, + "flow_id": { + "description": "The ID of the flow used by this run", + "type": "string" + } + }, + "type": "object" + }, + "EstimationProcedureList": { + "properties": { + "estimationprocedures": { + "$ref": "#/components/schemas/EstimationProcedureList_estimationprocedures" + } + }, + "type": "object" + }, + "DataQualityList_data_qualities_list": { + "properties": { + "quality": { + "type": "array", + "items": { + "type": "string" + } + } + }, + "type": "object" + }, + "Study_study_flows": { + "properties": { + "flow_id": { + "type": "array", + "items": { + "type": "string" + } + } + }, + "type": "object" + }, + "StudyList_study_list_study": { + "properties": { + "alias": { + "description": "The alias of the study", + "type": "string" + }, + "creation_date": { + "description": "The datetime that the dataset was uploaded, format yyyy-MM-dd HH:mm:ss", + "type": "string" + }, + "creator": { + "description": "A comma-separated list of the study creators", + "type": "string" + }, + "id": { + "description": "The ID of the study", + "type": "string" + }, + "name": { + "description": "The name of the study", + "type": "string" + } + }, + "type": "object" + }, + "Run_run_description_input_data": { + "properties": { + "dataset": { + "$ref": "#/components/schemas/Run_run_description_input_data_dataset" + } + }, + "type": "object" + }, + "TaskTypeList_task_types_task_type": { + "properties": { + "description": { + "description": "A description of the task type", + "type": "string" + }, + "creator": { + "description": "A comma-separated list of the task type creators", + "type": "string" + }, + "id": { + "description": "The ID of the task type", + "type": "string" + }, + "name": { + "description": "The name of the task type", + "type": "string" + } + }, + "type": "object" + }, + "EvaluationMeasureList_evaluation_measures": { + "properties": { + "measures": { + "$ref": "#/components/schemas/EvaluationMeasureList_evaluation_measures_measures" + } + }, + "type": "object" + }, + "TaskType_predictions": { + "properties": { + "feature": { + "type": "array", + "items": { + "$ref": "#/components/schemas/Task_task_description_predictions_feature" + } + }, + "format": { + "description": "The format of the predictions, e.g. ARFF", + "type": "string" + } + }, + "type": "object" + }, + "Flow_flow_description_parameter": { + "properties": { + "default_value": { + "description": "The default value of the parameter", + "type": "string" + }, + "name": { + "description": "The name of the parameter", + "type": "string" + }, + "data_type": { + "description": "The data type of the parameter", + "type": "string" + }, + "description": { + "description": "A description of the parameter", + "type": "string" + } + }, + "type": "object" + }, + "RunTrace_trace_trace_iteration": { + "properties": { + "setup_string": { + "description": "A JSON representation of the setup (configuration)", + "type": "string" + }, + "repeat": { + "description": "The number of the repeat in the outer cross-valudation", + "type": "string" + }, + "selected": { + "description": "Whether this setup was selected as the best one (true or false)", + "type": "string" + }, + "iteration": { + "description": "A number of the optimization iteration", + "type": "string" + }, + "fold": { + "description": "The number of the fold in the inner cross-validation", + "type": "string" + }, + "evaluation": { + "description": "The evaluation score of the setup", + "type": "string" + } + }, + "type": "object" + }, + "EvaluationMeasureList": { + "properties": { + "evaluation_measures": { + "$ref": "#/components/schemas/EvaluationMeasureList_evaluation_measures" + } + }, + "type": "object" + }, + "SetupList_setups": { + "properties": { + "setup": { + "type": "array", + "items": { + "$ref": "#/components/schemas/SetupList_setups_setup" + } + } + }, + "type": "object" + }, + "TaskList_task": { + "properties": { + "task": { + "type": "array", + "items": { + "$ref": "#/components/schemas/TaskList_task_task" + } + } + }, + "type": "object" + }, + "SetupList_setups_setup": { + "properties": { + "setup_id": { + "description": "The setup ID", + "type": "string" + }, + "parameter": { + "type": "array", + "items": { + "$ref": "#/components/schemas/SetupList_setups_parameter" + } + }, + "flow_id": { + "description": "The ID of the flow used by this run", + "type": "string" + } + }, + "type": "object" + }, + "Task_task_description_estimation_procedure_parameter": { + "properties": { + "name": { + "description": "The name of the parameter", + "type": "string" + }, + "value": { + "description": "The value of the parameter", + "type": "string" + } + }, + "type": "object" + }, + "RunList_runs": { + "properties": { + "run": { + "type": "array", + "items": { + "$ref": "#/components/schemas/RunList_runs_run" + } + } + }, + "type": "object" + }, + "Study_study_tasks": { + "properties": { + "task_id": { + "type": "array", + "items": { + "type": "string" + } + } + }, + "type": "object" + }, + "inline_response_200_1_upload_data_set": { + "properties": { + "id": { + "description": "ID of the uploaded dataset, a positive integer", + "type": "string" + } + }, + "type": "object" + }, + "Setup_setup_parameters_parameter_setting": { + "properties": { + "default_value": { + "description": "The default value of the parameter used", + "type": "string" + }, + "value": { + "description": "The value of the parameter used", + "type": "string" + }, + "data_type": { + "description": "The data type of the hyperparameter value", + "type": "string" + }, + "full_name": { + "description": "The full name of the hyperparameter", + "type": "string" + }, + "parameter_name": { + "description": "The short name of the hyperparameter", + "type": "string" + } + }, + "type": "object" + }, + "DataQualities": { + "properties": { + "data_qualities": { + "$ref": "#/components/schemas/DataQualities_data_qualities" + } + }, + "type": "object" + } } + } } diff --git a/server/src/client/app/public/theme-material.css b/server/src/client/app/public/theme-material.css index c2ed5abe..aa6809fa 100644 --- a/server/src/client/app/public/theme-material.css +++ b/server/src/client/app/public/theme-material.css @@ -1,21 +1,23 @@ .swagger-ui html { - box-sizing: border-box + box-sizing: border-box; } -.swagger-ui *, .swagger-ui :after, .swagger-ui :before { - box-sizing: inherit +.swagger-ui *, +.swagger-ui :after, +.swagger-ui :before { + box-sizing: inherit; } .swagger-ui body { margin: 0; - background: #fafafa + background: #fafafa; } .swagger-ui .wrapper { width: 100%; max-width: 1460px; margin: 0 auto; - padding: 0 20px + padding: 0 20px; } .swagger-ui .opblock-tag-section { @@ -25,7 +27,7 @@ -webkit-box-orient: vertical; -webkit-box-direction: normal; -ms-flex-direction: column; - flex-direction: column + flex-direction: column; } .swagger-ui .opblock-tag { @@ -34,34 +36,36 @@ display: flex; padding: 10px 20px 10px 10px; cursor: pointer; - -webkit-transition: all .2s; - transition: all .2s; - border-bottom: 1px solid rgba(59, 65, 81, .3); + -webkit-transition: all 0.2s; + transition: all 0.2s; + border-bottom: 1px solid rgba(59, 65, 81, 0.3); -webkit-box-align: center; -ms-flex-align: center; - align-items: center + align-items: center; } .swagger-ui .opblock-tag:hover { - background: rgba(0, 0, 0, .02) + background: rgba(0, 0, 0, 0.02); } .swagger-ui .opblock-tag { font-size: 24px; margin: 0 0 5px; - font-family: Titillium Web, sans-serif; - color: #3b4151 + font-family: + Titillium Web, + sans-serif; + color: #3b4151; } .swagger-ui .opblock-tag.no-desc span { -webkit-box-flex: 1; -ms-flex: 1; - flex: 1 + flex: 1; } .swagger-ui .opblock-tag svg { - -webkit-transition: all .4s; - transition: all .4s + -webkit-transition: all 0.4s; + transition: all 0.4s; } .swagger-ui .opblock-tag small { @@ -71,16 +75,20 @@ -webkit-box-flex: 1; -ms-flex: 1; flex: 1; - font-family: Open Sans, sans-serif; - color: #3b4151 + font-family: + Open Sans, + sans-serif; + color: #3b4151; } .swagger-ui .parĐ°meter__type { font-size: 12px; padding: 5px 0; - font-family: Source Code Pro, monospace; + font-family: + Source Code Pro, + monospace; font-weight: 600; - color: #3b4151 + color: #3b4151; } .swagger-ui .view-line-link { @@ -89,46 +97,49 @@ width: 20px; margin: 0 5px; cursor: pointer; - -webkit-transition: all .5s; - transition: all .5s + -webkit-transition: all 0.5s; + transition: all 0.5s; } .swagger-ui .opblock { margin: 0 0 15px; border: 1px solid #000; border-radius: 4px; - box-shadow: 0 0 3px rgba(0, 0, 0, .19) + box-shadow: 0 0 3px rgba(0, 0, 0, 0.19); } .swagger-ui .opblock.is-open .opblock-summary { - border-bottom: 1px solid #000 + border-bottom: 1px solid #000; } .swagger-ui .opblock .opblock-section-header { padding: 8px 20px; - background: hsla(0, 0%, 100%, .8); - box-shadow: 0 1px 2px rgba(0, 0, 0, .1) + background: hsla(0, 0%, 100%, 0.8); + box-shadow: 0 1px 2px rgba(0, 0, 0, 0.1); } -.swagger-ui .opblock .opblock-section-header, .swagger-ui .opblock .opblock-section-header label { +.swagger-ui .opblock .opblock-section-header, +.swagger-ui .opblock .opblock-section-header label { display: -webkit-box; display: -ms-flexbox; display: flex; -webkit-box-align: center; -ms-flex-align: center; - align-items: center + align-items: center; } .swagger-ui .opblock .opblock-section-header label { font-size: 12px; font-weight: 700; margin: 0; - font-family: Titillium Web, sans-serif; - color: #3b4151 + font-family: + Titillium Web, + sans-serif; + color: #3b4151; } .swagger-ui .opblock .opblock-section-header label span { - padding: 0 10px 0 0 + padding: 0 10px 0 0; } .swagger-ui .opblock .opblock-section-header h4 { @@ -137,8 +148,10 @@ -webkit-box-flex: 1; -ms-flex: 1; flex: 1; - font-family: Titillium Web, sans-serif; - color: #3b4151 + font-family: + Titillium Web, + sans-serif; + color: #3b4151; } .swagger-ui .opblock .opblock-summary-method { @@ -149,42 +162,49 @@ text-align: center; border-radius: 3px; background: #000; - text-shadow: 0 1px 0 rgba(0, 0, 0, .1); - font-family: Titillium Web, sans-serif; - color: #fff + text-shadow: 0 1px 0 rgba(0, 0, 0, 0.1); + font-family: + Titillium Web, + sans-serif; + color: #fff; } -.swagger-ui .opblock .opblock-summary-path, .swagger-ui .opblock .opblock-summary-path__deprecated { +.swagger-ui .opblock .opblock-summary-path, +.swagger-ui .opblock .opblock-summary-path__deprecated { font-size: 16px; display: -webkit-box; display: -ms-flexbox; display: flex; padding: 0 10px; - font-family: Source Code Pro, monospace; + font-family: + Source Code Pro, + monospace; font-weight: 600; color: #3b4151; -webkit-box-align: center; -ms-flex-align: center; - align-items: center + align-items: center; } -.swagger-ui .opblock .opblock-summary-path .view-line-link, .swagger-ui .opblock .opblock-summary-path__deprecated .view-line-link { +.swagger-ui .opblock .opblock-summary-path .view-line-link, +.swagger-ui .opblock .opblock-summary-path__deprecated .view-line-link { position: relative; top: 2px; width: 0; margin: 0; cursor: pointer; - -webkit-transition: all .5s; - transition: all .5s + -webkit-transition: all 0.5s; + transition: all 0.5s; } -.swagger-ui .opblock .opblock-summary-path:hover .view-line-link, .swagger-ui .opblock .opblock-summary-path__deprecated:hover .view-line-link { +.swagger-ui .opblock .opblock-summary-path:hover .view-line-link, +.swagger-ui .opblock .opblock-summary-path__deprecated:hover .view-line-link { width: 18px; - margin: 0 5px + margin: 0 5px; } .swagger-ui .opblock .opblock-summary-path__deprecated { - text-decoration: line-through + text-decoration: line-through; } .swagger-ui .opblock .opblock-summary-description { @@ -192,8 +212,10 @@ -webkit-box-flex: 1; -ms-flex: 1; flex: 1; - font-family: Open Sans, sans-serif; - color: #3b4151 + font-family: + Open Sans, + sans-serif; + color: #3b4151; } .swagger-ui .opblock .opblock-summary { @@ -204,112 +226,112 @@ cursor: pointer; -webkit-box-align: center; -ms-flex-align: center; - align-items: center + align-items: center; } .swagger-ui .opblock.opblock-post { border-color: #49cc90; - background: rgba(73, 204, 144, .1) + background: rgba(73, 204, 144, 0.1); } .swagger-ui .opblock.opblock-post .opblock-summary-method { - background: #49cc90 + background: #49cc90; } .swagger-ui .opblock.opblock-post .opblock-summary { - border-color: #49cc90 + border-color: #49cc90; } .swagger-ui .opblock.opblock-put { border-color: #fca130; - background: rgba(252, 161, 48, .1) + background: rgba(252, 161, 48, 0.1); } .swagger-ui .opblock.opblock-put .opblock-summary-method { - background: #fca130 + background: #fca130; } .swagger-ui .opblock.opblock-put .opblock-summary { - border-color: #fca130 + border-color: #fca130; } .swagger-ui .opblock.opblock-delete { border-color: #f93e3e; - background: rgba(249, 62, 62, .1) + background: rgba(249, 62, 62, 0.1); } .swagger-ui .opblock.opblock-delete .opblock-summary-method { - background: #f93e3e + background: #f93e3e; } .swagger-ui .opblock.opblock-delete .opblock-summary { - border-color: #f93e3e + border-color: #f93e3e; } .swagger-ui .opblock.opblock-get { border-color: #61affe; - background: rgba(97, 175, 254, .1) + background: rgba(97, 175, 254, 0.1); } .swagger-ui .opblock.opblock-get .opblock-summary-method { - background: #61affe + background: #61affe; } .swagger-ui .opblock.opblock-get .opblock-summary { - border-color: #61affe + border-color: #61affe; } .swagger-ui .opblock.opblock-patch { border-color: #50e3c2; - background: rgba(80, 227, 194, .1) + background: rgba(80, 227, 194, 0.1); } .swagger-ui .opblock.opblock-patch .opblock-summary-method { - background: #50e3c2 + background: #50e3c2; } .swagger-ui .opblock.opblock-patch .opblock-summary { - border-color: #50e3c2 + border-color: #50e3c2; } .swagger-ui .opblock.opblock-head { border-color: #9012fe; - background: rgba(144, 18, 254, .1) + background: rgba(144, 18, 254, 0.1); } .swagger-ui .opblock.opblock-head .opblock-summary-method { - background: #9012fe + background: #9012fe; } .swagger-ui .opblock.opblock-head .opblock-summary { - border-color: #9012fe + border-color: #9012fe; } .swagger-ui .opblock.opblock-options { border-color: #0d5aa7; - background: rgba(13, 90, 167, .1) + background: rgba(13, 90, 167, 0.1); } .swagger-ui .opblock.opblock-options .opblock-summary-method { - background: #0d5aa7 + background: #0d5aa7; } .swagger-ui .opblock.opblock-options .opblock-summary { - border-color: #0d5aa7 + border-color: #0d5aa7; } .swagger-ui .opblock.opblock-deprecated { - opacity: .6; + opacity: 0.6; border-color: #ebebeb; - background: hsla(0, 0%, 92%, .1) + background: hsla(0, 0%, 92%, 0.1); } .swagger-ui .opblock.opblock-deprecated .opblock-summary-method { - background: #ebebeb + background: #ebebeb; } .swagger-ui .opblock.opblock-deprecated .opblock-summary { - border-color: #ebebeb + border-color: #ebebeb; } .swagger-ui .tab { @@ -318,7 +340,7 @@ display: flex; margin: 20px 0 10px; padding: 0; - list-style: none + list-style: none; } .swagger-ui .tab li { @@ -327,13 +349,15 @@ min-width: 90px; padding: 0; cursor: pointer; - font-family: Titillium Web, sans-serif; - color: #3b4151 + font-family: + Titillium Web, + sans-serif; + color: #3b4151; } .swagger-ui .tab li:first-of-type { position: relative; - padding-left: 0 + padding-left: 0; } .swagger-ui .tab li:first-of-type:after { @@ -343,39 +367,48 @@ width: 1px; height: 100%; content: ""; - background: rgba(0, 0, 0, .2) + background: rgba(0, 0, 0, 0.2); } .swagger-ui .tab li.active { - font-weight: 700 + font-weight: 700; } -.swagger-ui .opblock-description-wrapper, .swagger-ui .opblock-title_normal { - padding: 15px 20px +.swagger-ui .opblock-description-wrapper, +.swagger-ui .opblock-title_normal { + padding: 15px 20px; } -.swagger-ui .opblock-description-wrapper, .swagger-ui .opblock-description-wrapper h4, .swagger-ui .opblock-title_normal, .swagger-ui .opblock-title_normal h4 { +.swagger-ui .opblock-description-wrapper, +.swagger-ui .opblock-description-wrapper h4, +.swagger-ui .opblock-title_normal, +.swagger-ui .opblock-title_normal h4 { font-size: 12px; margin: 0 0 5px; - font-family: Open Sans, sans-serif; - color: #3b4151 + font-family: + Open Sans, + sans-serif; + color: #3b4151; } -.swagger-ui .opblock-description-wrapper p, .swagger-ui .opblock-title_normal p { +.swagger-ui .opblock-description-wrapper p, +.swagger-ui .opblock-title_normal p { font-size: 14px; margin: 0; - font-family: Open Sans, sans-serif; - color: #3b4151 + font-family: + Open Sans, + sans-serif; + color: #3b4151; } .swagger-ui .execute-wrapper { padding: 20px; - text-align: right + text-align: right; } .swagger-ui .execute-wrapper .btn { width: 100%; - padding: 8px 40px + padding: 8px 40px; } .swagger-ui .body-param-options { @@ -385,43 +418,50 @@ -webkit-box-orient: vertical; -webkit-box-direction: normal; -ms-flex-direction: column; - flex-direction: column + flex-direction: column; } .swagger-ui .body-param-options .body-param-edit { - padding: 10px 0 + padding: 10px 0; } .swagger-ui .body-param-options label { - padding: 8px 0 + padding: 8px 0; } .swagger-ui .body-param-options label select { - margin: 3px 0 0 + margin: 3px 0 0; } .swagger-ui .responses-inner { - padding: 20px + padding: 20px; } -.swagger-ui .responses-inner h4, .swagger-ui .responses-inner h5 { +.swagger-ui .responses-inner h4, +.swagger-ui .responses-inner h5 { font-size: 12px; margin: 10px 0 5px; - font-family: Open Sans, sans-serif; - color: #3b4151 + font-family: + Open Sans, + sans-serif; + color: #3b4151; } .swagger-ui .response-col_status { font-size: 14px; - font-family: Open Sans, sans-serif; - color: #3b4151 + font-family: + Open Sans, + sans-serif; + color: #3b4151; } .swagger-ui .response-col_status .response-undocumented { font-size: 11px; - font-family: Source Code Pro, monospace; + font-family: + Source Code Pro, + monospace; font-weight: 600; - color: #999 + color: #999; } .swagger-ui .response-col_description__inner span { @@ -432,13 +472,15 @@ padding: 10px; border-radius: 4px; background: #41444e; - font-family: Source Code Pro, monospace; + font-family: + Source Code Pro, + monospace; font-weight: 600; - color: #fff + color: #fff; } .swagger-ui .response-col_description__inner span p { - margin: 0 + margin: 0; } .swagger-ui .opblock-body pre { @@ -448,20 +490,22 @@ white-space: pre-wrap; border-radius: 4px; background: #41444e; - font-family: Source Code Pro, monospace; + font-family: + Source Code Pro, + monospace; font-weight: 600; - color: #fff + color: #fff; } .swagger-ui .opblock-body pre span { - color: #fff!important + color: #fff !important; } .swagger-ui .scheme-container { margin: 0 0 20px; padding: 30px 0; background: #fff; - box-shadow: 0 1px 2px 0 rgba(0, 0, 0, .15) + box-shadow: 0 1px 2px 0 rgba(0, 0, 0, 0.15); } .swagger-ui .scheme-container .schemes { @@ -470,10 +514,10 @@ display: flex; -webkit-box-align: center; -ms-flex-align: center; - align-items: center + align-items: center; } -.swagger-ui .scheme-container .schemes>label { +.swagger-ui .scheme-container .schemes > label { font-size: 12px; font-weight: 700; display: -webkit-box; @@ -484,21 +528,23 @@ -ms-flex-direction: column; flex-direction: column; margin: -20px 15px 0 0; - font-family: Titillium Web, sans-serif; - color: #3b4151 + font-family: + Titillium Web, + sans-serif; + color: #3b4151; } -.swagger-ui .scheme-container .schemes>label select { +.swagger-ui .scheme-container .schemes > label select { min-width: 130px; - text-transform: uppercase + text-transform: uppercase; } .swagger-ui .loading-container { - padding: 40px 0 60px + padding: 40px 0 60px; } .swagger-ui .loading-container .loading { - position: relative + position: relative; } .swagger-ui .loading-container .loading:after { @@ -511,8 +557,10 @@ -webkit-transform: translate(-50%, -50%); transform: translate(-50%, -50%); text-transform: uppercase; - font-family: Titillium Web, sans-serif; - color: #3b4151 + font-family: + Titillium Web, + sans-serif; + color: #3b4151; } .swagger-ui .loading-container .loading:before { @@ -524,39 +572,43 @@ height: 60px; margin: -30px; content: ""; - -webkit-animation: rotation 1s infinite linear, opacity .5s; - animation: rotation 1s infinite linear, opacity .5s; + -webkit-animation: + rotation 1s infinite linear, + opacity 0.5s; + animation: + rotation 1s infinite linear, + opacity 0.5s; opacity: 1; - border: 2px solid rgba(85, 85, 85, .1); - border-top-color: rgba(0, 0, 0, .6); + border: 2px solid rgba(85, 85, 85, 0.1); + border-top-color: rgba(0, 0, 0, 0.6); border-radius: 100%; -webkit-backface-visibility: hidden; - backface-visibility: hidden + backface-visibility: hidden; } @-webkit-keyframes rotation { to { -webkit-transform: rotate(1turn); - transform: rotate(1turn) + transform: rotate(1turn); } } @keyframes rotation { to { -webkit-transform: rotate(1turn); - transform: rotate(1turn) + transform: rotate(1turn); } } @-webkit-keyframes blinker { 50% { - opacity: 0 + opacity: 0; } } @keyframes blinker { 50% { - opacity: 0 + opacity: 0; } } @@ -564,67 +616,71 @@ font-size: 14px; font-weight: 700; padding: 5px 23px; - -webkit-transition: all .3s; - transition: all .3s; + -webkit-transition: all 0.3s; + transition: all 0.3s; border: 2px solid #888; border-radius: 4px; background: transparent; - box-shadow: 0 1px 2px rgba(0, 0, 0, .1); - font-family: Titillium Web, sans-serif; - color: #3b4151 + box-shadow: 0 1px 2px rgba(0, 0, 0, 0.1); + font-family: + Titillium Web, + sans-serif; + color: #3b4151; } .swagger-ui .btn[disabled] { cursor: not-allowed; - opacity: .3 + opacity: 0.3; } .swagger-ui .btn:hover { - box-shadow: 0 0 5px rgba(0, 0, 0, .3) + box-shadow: 0 0 5px rgba(0, 0, 0, 0.3); } .swagger-ui .btn.cancel { border-color: #ff6060; - font-family: Titillium Web, sans-serif; - color: #ff6060 + font-family: + Titillium Web, + sans-serif; + color: #ff6060; } .swagger-ui .btn.authorize { line-height: 1; display: inline; color: #49cc90; - border-color: #49cc90 + border-color: #49cc90; } .swagger-ui .btn.authorize span { float: left; - padding: 4px 20px 0 0 + padding: 4px 20px 0 0; } .swagger-ui .btn.authorize svg { - fill: #49cc90 + fill: #49cc90; } .swagger-ui .btn.execute { -webkit-animation: pulse 2s infinite; animation: pulse 2s infinite; color: #fff; - border-color: #4990e2 + border-color: #4990e2; } @-webkit-keyframes pulse { 0% { color: #fff; background: #4990e2; - box-shadow: 0 0 0 0 rgba(73, 144, 226, .8) + box-shadow: 0 0 0 0 rgba(73, 144, 226, 0.8); } 70% { - box-shadow: 0 0 0 5px rgba(73, 144, 226, 0) + box-shadow: 0 0 0 5px rgba(73, 144, 226, 0); } to { color: #fff; background: #4990e2; - box-shadow: 0 0 0 0 rgba(73, 144, 226, 0) + box-shadow: 0 0 0 0 rgba(73, 144, 226, 0); } } @@ -632,15 +688,15 @@ 0% { color: #fff; background: #4990e2; - box-shadow: 0 0 0 0 rgba(73, 144, 226, .8) + box-shadow: 0 0 0 0 rgba(73, 144, 226, 0.8); } 70% { - box-shadow: 0 0 0 5px rgba(73, 144, 226, 0) + box-shadow: 0 0 0 5px rgba(73, 144, 226, 0); } to { color: #fff; background: #4990e2; - box-shadow: 0 0 0 0 rgba(73, 144, 226, 0) + box-shadow: 0 0 0 0 rgba(73, 144, 226, 0); } } @@ -648,64 +704,66 @@ display: -webkit-box; display: -ms-flexbox; display: flex; - padding: 30px + padding: 30px; } .swagger-ui .btn-group .btn { -webkit-box-flex: 1; -ms-flex: 1; - flex: 1 + flex: 1; } .swagger-ui .btn-group .btn:first-child { - border-radius: 4px 0 0 4px + border-radius: 4px 0 0 4px; } .swagger-ui .btn-group .btn:last-child { - border-radius: 0 4px 4px 0 + border-radius: 0 4px 4px 0; } .swagger-ui .authorization__btn { padding: 0 10px; border: none; - background: none + background: none; } .swagger-ui .authorization__btn.locked { - opacity: 1 + opacity: 1; } .swagger-ui .authorization__btn.unlocked { - opacity: .4 + opacity: 0.4; } -.swagger-ui .expand-methods, .swagger-ui .expand-operation { +.swagger-ui .expand-methods, +.swagger-ui .expand-operation { border: none; - background: none + background: none; } -.swagger-ui .expand-methods svg, .swagger-ui .expand-operation svg { +.swagger-ui .expand-methods svg, +.swagger-ui .expand-operation svg { width: 20px; - height: 20px + height: 20px; } .swagger-ui .expand-methods { - padding: 0 10px + padding: 0 10px; } .swagger-ui .expand-methods:hover svg { - fill: #444 + fill: #444; } .swagger-ui .expand-methods svg { - -webkit-transition: all .3s; - transition: all .3s; - fill: #777 + -webkit-transition: all 0.3s; + transition: all 0.3s; + fill: #777; } .swagger-ui button { cursor: pointer; - outline: none + outline: none; } .swagger-ui select { @@ -714,85 +772,107 @@ padding: 5px 40px 5px 10px; border: 2px solid #41444e; border-radius: 4px; - background: #f7f7f7 url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHZpZXdCb3g9IjAgMCAyMCAyMCI+ICAgIDxwYXRoIGQ9Ik0xMy40MTggNy44NTljLjI3MS0uMjY4LjcwOS0uMjY4Ljk3OCAwIC4yNy4yNjguMjcyLjcwMSAwIC45NjlsLTMuOTA4IDMuODNjLS4yNy4yNjgtLjcwNy4yNjgtLjk3OSAwbC0zLjkwOC0zLjgzYy0uMjctLjI2Ny0uMjctLjcwMSAwLS45NjkuMjcxLS4yNjguNzA5LS4yNjguOTc4IDBMMTAgMTFsMy40MTgtMy4xNDF6Ii8+PC9zdmc+) right 10px center no-repeat; + background: #f7f7f7 + url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHZpZXdCb3g9IjAgMCAyMCAyMCI+ICAgIDxwYXRoIGQ9Ik0xMy40MTggNy44NTljLjI3MS0uMjY4LjcwOS0uMjY4Ljk3OCAwIC4yNy4yNjguMjcyLjcwMSAwIC45NjlsLTMuOTA4IDMuODNjLS4yNy4yNjgtLjcwNy4yNjgtLjk3OSAwbC0zLjkwOC0zLjgzYy0uMjctLjI2Ny0uMjctLjcwMSAwLS45NjkuMjcxLS4yNjguNzA5LS4yNjguOTc4IDBMMTAgMTFsMy40MTgtMy4xNDF6Ii8+PC9zdmc+) + right 10px center no-repeat; background-size: 20px; - box-shadow: 0 1px 2px 0 rgba(0, 0, 0, .25); - font-family: Titillium Web, sans-serif; + box-shadow: 0 1px 2px 0 rgba(0, 0, 0, 0.25); + font-family: + Titillium Web, + sans-serif; color: #3b4151; -webkit-appearance: none; -moz-appearance: none; - appearance: none + appearance: none; } .swagger-ui select[multiple] { margin: 5px 0; padding: 5px; - background: #f7f7f7 + background: #f7f7f7; } .swagger-ui .opblock-body select { - min-width: 230px + min-width: 230px; } .swagger-ui label { font-size: 12px; font-weight: 700; margin: 0 0 5px; - font-family: Titillium Web, sans-serif; - color: #3b4151 + font-family: + Titillium Web, + sans-serif; + color: #3b4151; } -.swagger-ui input[type=email], .swagger-ui input[type=password], .swagger-ui input[type=search], .swagger-ui input[type=text] { +.swagger-ui input[type="email"], +.swagger-ui input[type="password"], +.swagger-ui input[type="search"], +.swagger-ui input[type="text"] { min-width: 100px; margin: 5px 0; padding: 8px 10px; border: 1px solid #d9d9d9; border-radius: 4px; - background: #fff + background: #fff; } -.swagger-ui input[type=email].invalid, .swagger-ui input[type=password].invalid, .swagger-ui input[type=search].invalid, .swagger-ui input[type=text].invalid { - -webkit-animation: shake .4s 1; - animation: shake .4s 1; +.swagger-ui input[type="email"].invalid, +.swagger-ui input[type="password"].invalid, +.swagger-ui input[type="search"].invalid, +.swagger-ui input[type="text"].invalid { + -webkit-animation: shake 0.4s 1; + animation: shake 0.4s 1; border-color: #f93e3e; - background: #feebeb + background: #feebeb; } @-webkit-keyframes shake { - 10%, 90% { + 10%, + 90% { -webkit-transform: translate3d(-1px, 0, 0); - transform: translate3d(-1px, 0, 0) + transform: translate3d(-1px, 0, 0); } - 20%, 80% { + 20%, + 80% { -webkit-transform: translate3d(2px, 0, 0); - transform: translate3d(2px, 0, 0) + transform: translate3d(2px, 0, 0); } - 30%, 50%, 70% { + 30%, + 50%, + 70% { -webkit-transform: translate3d(-4px, 0, 0); - transform: translate3d(-4px, 0, 0) + transform: translate3d(-4px, 0, 0); } - 40%, 60% { + 40%, + 60% { -webkit-transform: translate3d(4px, 0, 0); - transform: translate3d(4px, 0, 0) + transform: translate3d(4px, 0, 0); } } @keyframes shake { - 10%, 90% { + 10%, + 90% { -webkit-transform: translate3d(-1px, 0, 0); - transform: translate3d(-1px, 0, 0) + transform: translate3d(-1px, 0, 0); } - 20%, 80% { + 20%, + 80% { -webkit-transform: translate3d(2px, 0, 0); - transform: translate3d(2px, 0, 0) + transform: translate3d(2px, 0, 0); } - 30%, 50%, 70% { + 30%, + 50%, + 70% { -webkit-transform: translate3d(-4px, 0, 0); - transform: translate3d(-4px, 0, 0) + transform: translate3d(-4px, 0, 0); } - 40%, 60% { + 40%, + 60% { -webkit-transform: translate3d(4px, 0, 0); - transform: translate3d(4px, 0, 0) + transform: translate3d(4px, 0, 0); } } @@ -804,14 +884,16 @@ border: none; border-radius: 4px; outline: none; - background: hsla(0, 0%, 100%, .8); - font-family: Source Code Pro, monospace; + background: hsla(0, 0%, 100%, 0.8); + font-family: + Source Code Pro, + monospace; font-weight: 600; - color: #3b4151 + color: #3b4151; } .swagger-ui textarea:focus { - border: 2px solid #61affe + border: 2px solid #61affe; } .swagger-ui textarea.curl { @@ -822,38 +904,42 @@ resize: none; border-radius: 4px; background: #41444e; - font-family: Source Code Pro, monospace; + font-family: + Source Code Pro, + monospace; font-weight: 600; - color: #fff + color: #fff; } .swagger-ui .checkbox { padding: 5px 0 10px; - -webkit-transition: opacity .5s; - transition: opacity .5s; - color: #333 + -webkit-transition: opacity 0.5s; + transition: opacity 0.5s; + color: #333; } .swagger-ui .checkbox label { display: -webkit-box; display: -ms-flexbox; - display: flex + display: flex; } .swagger-ui .checkbox p { - font-weight: 400!important; + font-weight: 400 !important; font-style: italic; - margin: 0!important; - font-family: Source Code Pro, monospace; + margin: 0 !important; + font-family: + Source Code Pro, + monospace; font-weight: 600; - color: #3b4151 + color: #3b4151; } -.swagger-ui .checkbox input[type=checkbox] { - display: none +.swagger-ui .checkbox input[type="checkbox"] { + display: none; } -.swagger-ui .checkbox input[type=checkbox]+label>.item { +.swagger-ui .checkbox input[type="checkbox"] + label > .item { position: relative; top: 3px; display: inline-block; @@ -867,16 +953,18 @@ box-shadow: 0 0 0 2px #e8e8e8; -webkit-box-flex: 0; -ms-flex: none; - flex: none + flex: none; } -.swagger-ui .checkbox input[type=checkbox]+label>.item:active { - -webkit-transform: scale(.9); - transform: scale(.9) +.swagger-ui .checkbox input[type="checkbox"] + label > .item:active { + -webkit-transform: scale(0.9); + transform: scale(0.9); } -.swagger-ui .checkbox input[type=checkbox]:checked+label>.item { - background: #e8e8e8 url("data:image/svg+xml;charset=utf-8,%3Csvg width='10' height='8' viewBox='3 7 10 8' xmlns='http://www.w3.org/2000/svg'%3E%3Cpath fill='%2341474E' fill-rule='evenodd' d='M6.333 15L3 11.667l1.333-1.334 2 2L11.667 7 13 8.333z'/%3E%3C/svg%3E") 50% no-repeat +.swagger-ui .checkbox input[type="checkbox"]:checked + label > .item { + background: #e8e8e8 + url("data:image/svg+xml;charset=utf-8,%3Csvg width='10' height='8' viewBox='3 7 10 8' xmlns='http://www.w3.org/2000/svg'%3E%3Cpath fill='%2341474E' fill-rule='evenodd' d='M6.333 15L3 11.667l1.333-1.334 2 2L11.667 7 13 8.333z'/%3E%3C/svg%3E") + 50% no-repeat; } .swagger-ui .dialog-ux { @@ -885,7 +973,7 @@ top: 0; right: 0; bottom: 0; - left: 0 + left: 0; } .swagger-ui .dialog-ux .backdrop-ux { @@ -894,7 +982,7 @@ right: 0; bottom: 0; left: 0; - background: rgba(0, 0, 0, .8) + background: rgba(0, 0, 0, 0.8); } .swagger-ui .dialog-ux .modal-ux { @@ -910,29 +998,33 @@ border: 1px solid #ebebeb; border-radius: 4px; background: #fff; - box-shadow: 0 10px 30px 0 rgba(0, 0, 0, .2) + box-shadow: 0 10px 30px 0 rgba(0, 0, 0, 0.2); } .swagger-ui .dialog-ux .modal-ux-content { overflow-y: auto; max-height: 540px; - padding: 20px + padding: 20px; } .swagger-ui .dialog-ux .modal-ux-content p { font-size: 12px; margin: 0 0 5px; color: #41444e; - font-family: Open Sans, sans-serif; - color: #3b4151 + font-family: + Open Sans, + sans-serif; + color: #3b4151; } .swagger-ui .dialog-ux .modal-ux-content h4 { font-size: 18px; font-weight: 600; margin: 15px 0 0; - font-family: Titillium Web, sans-serif; - color: #3b4151 + font-family: + Titillium Web, + sans-serif; + color: #3b4151; } .swagger-ui .dialog-ux .modal-ux-header { @@ -943,7 +1035,7 @@ border-bottom: 1px solid #ebebeb; -webkit-box-align: center; -ms-flex-align: center; - align-items: center + align-items: center; } .swagger-ui .dialog-ux .modal-ux-header .close-modal { @@ -952,7 +1044,7 @@ background: none; -webkit-appearance: none; -moz-appearance: none; - appearance: none + appearance: none; } .swagger-ui .dialog-ux .modal-ux-header h3 { @@ -963,16 +1055,20 @@ -webkit-box-flex: 1; -ms-flex: 1; flex: 1; - font-family: Titillium Web, sans-serif; - color: #3b4151 + font-family: + Titillium Web, + sans-serif; + color: #3b4151; } .swagger-ui .model { font-size: 12px; font-weight: 300; - font-family: Source Code Pro, monospace; + font-family: + Source Code Pro, + monospace; font-weight: 600; - color: #3b4151 + color: #3b4151; } .swagger-ui .model-toggle { @@ -980,21 +1076,23 @@ position: relative; top: 6px; display: inline-block; - margin: auto .3em; + margin: auto 0.3em; cursor: pointer; - -webkit-transition: -webkit-transform .15s ease-in; - transition: -webkit-transform .15s ease-in; - transition: transform .15s ease-in; - transition: transform .15s ease-in, -webkit-transform .15s ease-in; + -webkit-transition: -webkit-transform 0.15s ease-in; + transition: -webkit-transform 0.15s ease-in; + transition: transform 0.15s ease-in; + transition: + transform 0.15s ease-in, + -webkit-transform 0.15s ease-in; -webkit-transform: rotate(90deg); transform: rotate(90deg); -webkit-transform-origin: 50% 50%; - transform-origin: 50% 50% + transform-origin: 50% 50%; } .swagger-ui .model-toggle.collapsed { -webkit-transform: rotate(0deg); - transform: rotate(0deg) + transform: rotate(0deg); } .swagger-ui .model-toggle:after { @@ -1002,58 +1100,59 @@ width: 20px; height: 20px; content: ""; - background: url("data:image/svg+xml;charset=utf-8,%3Csvg xmlns='http://www.w3.org/2000/svg' width='24' height='24' viewBox='0 0 24 24'%3E%3Cpath d='M10 6L8.59 7.41 13.17 12l-4.58 4.59L10 18l6-6z'/%3E%3C/svg%3E") 50% no-repeat; - background-size: 100% + background: url("data:image/svg+xml;charset=utf-8,%3Csvg xmlns='http://www.w3.org/2000/svg' width='24' height='24' viewBox='0 0 24 24'%3E%3Cpath d='M10 6L8.59 7.41 13.17 12l-4.58 4.59L10 18l6-6z'/%3E%3C/svg%3E") + 50% no-repeat; + background-size: 100%; } .swagger-ui .model-jump-to-path { position: relative; - cursor: pointer + cursor: pointer; } .swagger-ui .model-jump-to-path .view-line-link { position: absolute; - top: -.4em; - cursor: pointer + top: -0.4em; + cursor: pointer; } .swagger-ui .model-title { - position: relative + position: relative; } .swagger-ui .model-title:hover .model-hint { - visibility: visible + visibility: visible; } .swagger-ui .model-hint { position: absolute; top: -1.8em; visibility: hidden; - padding: .1em .5em; + padding: 0.1em 0.5em; white-space: nowrap; color: #ebebeb; border-radius: 4px; - background: rgba(0, 0, 0, .7) + background: rgba(0, 0, 0, 0.7); } .swagger-ui section.models { margin: 30px 0; - border: 1px solid rgba(59, 65, 81, .3); - border-radius: 4px + border: 1px solid rgba(59, 65, 81, 0.3); + border-radius: 4px; } .swagger-ui section.models.is-open { - padding: 0 0 20px + padding: 0 0 20px; } .swagger-ui section.models.is-open h4 { margin: 0 0 5px; - border-bottom: 1px solid rgba(59, 65, 81, .3) + border-bottom: 1px solid rgba(59, 65, 81, 0.3); } .swagger-ui section.models.is-open h4 svg { -webkit-transform: rotate(90deg); - transform: rotate(90deg) + transform: rotate(90deg); } .swagger-ui section.models h4 { @@ -1064,165 +1163,181 @@ margin: 0; padding: 10px 20px 10px 10px; cursor: pointer; - -webkit-transition: all .2s; - transition: all .2s; - font-family: Titillium Web, sans-serif; + -webkit-transition: all 0.2s; + transition: all 0.2s; + font-family: + Titillium Web, + sans-serif; color: #777; -webkit-box-align: center; -ms-flex-align: center; - align-items: center + align-items: center; } .swagger-ui section.models h4 svg { - -webkit-transition: all .4s; - transition: all .4s + -webkit-transition: all 0.4s; + transition: all 0.4s; } .swagger-ui section.models h4 span { -webkit-box-flex: 1; -ms-flex: 1; - flex: 1 + flex: 1; } .swagger-ui section.models h4:hover { - background: rgba(0, 0, 0, .02) + background: rgba(0, 0, 0, 0.02); } .swagger-ui section.models h5 { font-size: 16px; margin: 0 0 10px; - font-family: Titillium Web, sans-serif; - color: #777 + font-family: + Titillium Web, + sans-serif; + color: #777; } .swagger-ui section.models .model-jump-to-path { position: relative; - top: 5px + top: 5px; } .swagger-ui section.models .model-container { margin: 0 20px 15px; - -webkit-transition: all .5s; - transition: all .5s; + -webkit-transition: all 0.5s; + transition: all 0.5s; border-radius: 4px; - background: rgba(0, 0, 0, .05) + background: rgba(0, 0, 0, 0.05); } .swagger-ui section.models .model-container:hover { - background: rgba(0, 0, 0, .07) + background: rgba(0, 0, 0, 0.07); } .swagger-ui section.models .model-container:first-of-type { - margin: 20px + margin: 20px; } .swagger-ui section.models .model-container:last-of-type { - margin: 0 20px + margin: 0 20px; } .swagger-ui section.models .model-box { - background: none + background: none; } .swagger-ui .model-box { padding: 10px; border-radius: 4px; - background: rgba(0, 0, 0, .1) + background: rgba(0, 0, 0, 0.1); } .swagger-ui .model-box .model-jump-to-path { position: relative; - top: 4px + top: 4px; } .swagger-ui .model-title { font-size: 16px; - font-family: Titillium Web, sans-serif; - color: #555 + font-family: + Titillium Web, + sans-serif; + color: #555; } -.swagger-ui span>span.model, .swagger-ui span>span.model .brace-close { - padding: 0 0 0 10px +.swagger-ui span > span.model, +.swagger-ui span > span.model .brace-close { + padding: 0 0 0 10px; } .swagger-ui .prop-type { - color: #55a + color: #55a; } .swagger-ui .prop-enum { - display: block + display: block; } .swagger-ui .prop-format { - color: #999 + color: #999; } .swagger-ui table { width: 100%; padding: 0 10px; - border-collapse: collapse + border-collapse: collapse; } .swagger-ui table.model tbody tr td { padding: 0; - vertical-align: top + vertical-align: top; } .swagger-ui table.model tbody tr td:first-of-type { width: 100px; - padding: 0 + padding: 0; } .swagger-ui table.headers td { font-size: 12px; font-weight: 300; vertical-align: middle; - font-family: Source Code Pro, monospace; + font-family: + Source Code Pro, + monospace; font-weight: 600; - color: #3b4151 + color: #3b4151; } .swagger-ui table tbody tr td { padding: 10px 0 0; - vertical-align: top + vertical-align: top; } .swagger-ui table tbody tr td:first-of-type { width: 20%; - padding: 10px 0 + padding: 10px 0; } -.swagger-ui table thead tr td, .swagger-ui table thead tr th { +.swagger-ui table thead tr td, +.swagger-ui table thead tr th { font-size: 12px; font-weight: 700; padding: 12px 0; text-align: left; - border-bottom: 1px solid rgba(59, 65, 81, .2); - font-family: Open Sans, sans-serif; - color: #3b4151 + border-bottom: 1px solid rgba(59, 65, 81, 0.2); + font-family: + Open Sans, + sans-serif; + color: #3b4151; } .swagger-ui .parameters-col_description p { font-size: 14px; margin: 0; - font-family: Open Sans, sans-serif; - color: #3b4151 + font-family: + Open Sans, + sans-serif; + color: #3b4151; } -.swagger-ui .parameters-col_description input[type=text] { +.swagger-ui .parameters-col_description input[type="text"] { width: 100%; - max-width: 340px + max-width: 340px; } .swagger-ui .parameter__name { font-size: 16px; font-weight: 400; - font-family: Titillium Web, sans-serif; - color: #3b4151 + font-family: + Titillium Web, + sans-serif; + color: #3b4151; } .swagger-ui .parameter__name.required { - font-weight: 700 + font-weight: 700; } .swagger-ui .parameter__name.required:after { @@ -1231,36 +1346,39 @@ top: -6px; padding: 5px; content: "required"; - color: rgba(255, 0, 0, .6) + color: rgba(255, 0, 0, 0.6); } .swagger-ui .parameter__in { font-size: 12px; font-style: italic; - font-family: Source Code Pro, monospace; + font-family: + Source Code Pro, + monospace; font-weight: 600; - color: #888 + color: #888; } .swagger-ui .table-container { - padding: 20px + padding: 20px; } .swagger-ui .topbar { padding: 8px 30px; - background-color: #89bf04 + background-color: #89bf04; } .swagger-ui .topbar .topbar-wrapper { - -ms-flex-align: center + -ms-flex-align: center; } -.swagger-ui .topbar .topbar-wrapper, .swagger-ui .topbar a { +.swagger-ui .topbar .topbar-wrapper, +.swagger-ui .topbar a { display: -webkit-box; display: -ms-flexbox; display: flex; -webkit-box-align: center; - align-items: center + align-items: center; } .swagger-ui .topbar a { @@ -1271,31 +1389,33 @@ -ms-flex: 1; flex: 1; -ms-flex-align: center; - font-family: Titillium Web, sans-serif; - color: #fff + font-family: + Titillium Web, + sans-serif; + color: #fff; } .swagger-ui .topbar a span { margin: 0; - padding: 0 10px + padding: 0 10px; } .swagger-ui .topbar .download-url-wrapper { display: -webkit-box; display: -ms-flexbox; - display: flex + display: flex; } .swagger-ui .topbar .download-url-wrapper label.select-label span { color: white; } -.swagger-ui .topbar .download-url-wrapper input[type=text] { +.swagger-ui .topbar .download-url-wrapper input[type="text"] { min-width: 350px; margin: 0; border: 2px solid #547f00; border-radius: 4px 0 0 4px; - outline: none + outline: none; } .swagger-ui .topbar .download-url-wrapper .download-url-button { @@ -1305,67 +1425,79 @@ border: none; border-radius: 0 4px 4px 0; background: #547f00; - font-family: Titillium Web, sans-serif; - color: #fff + font-family: + Titillium Web, + sans-serif; + color: #fff; } .swagger-ui .info { - margin: 50px 0 + margin: 50px 0; } .swagger-ui .info hgroup.main { - margin: 0 0 20px + margin: 0 0 20px; } .swagger-ui .info hgroup.main a { - font-size: 12px + font-size: 12px; } .swagger-ui .info p { font-size: 14px; - font-family: Open Sans, sans-serif; - color: #3b4151 + font-family: + Open Sans, + sans-serif; + color: #3b4151; } .swagger-ui .info code { padding: 3px 5px; border-radius: 4px; - background: rgba(0, 0, 0, .05); - font-family: Source Code Pro, monospace; + background: rgba(0, 0, 0, 0.05); + font-family: + Source Code Pro, + monospace; font-weight: 600; - color: #9012fe + color: #9012fe; } .swagger-ui .info a { font-size: 14px; - -webkit-transition: all .4s; - transition: all .4s; - font-family: Open Sans, sans-serif; - color: #4990e2 + -webkit-transition: all 0.4s; + transition: all 0.4s; + font-family: + Open Sans, + sans-serif; + color: #4990e2; } .swagger-ui .info a:hover { - color: #1f69c0 + color: #1f69c0; } -.swagger-ui .info>div { - margin: 0 0 5px +.swagger-ui .info > div { + margin: 0 0 5px; } .swagger-ui .info .base-url { font-size: 12px; - font-weight: 300!important; + font-weight: 300 !important; margin: 0; - font-family: Source Code Pro, monospace; + font-family: + Source Code Pro, + monospace; font-weight: 600; - color: #3b4151 + color: #3b4151; } .swagger-ui .info .title { font-size: 36px; margin: 0; - font-family: Open Sans, sans-serif; - color: #3b4151 + font-family: + Open Sans, + sans-serif; + color: #3b4151; } .swagger-ui .info .title small { @@ -1377,13 +1509,15 @@ padding: 2px 4px; vertical-align: super; border-radius: 57px; - background: #7d8492 + background: #7d8492; } .swagger-ui .info .title small pre { margin: 0; - font-family: Titillium Web, sans-serif; - color: #fff + font-family: + Titillium Web, + sans-serif; + color: #fff; } .swagger-ui .auth-btn-wrapper { @@ -1393,7 +1527,7 @@ padding: 10px 0; -webkit-box-pack: center; -ms-flex-pack: center; - justify-content: center + justify-content: center; } .swagger-ui .auth-wrapper { @@ -1405,77 +1539,84 @@ flex: 1; -webkit-box-pack: end; -ms-flex-pack: end; - justify-content: flex-end + justify-content: flex-end; } .swagger-ui .auth-wrapper .authorize { - padding-right: 20px + padding-right: 20px; } .swagger-ui .auth-container { margin: 0 0 10px; padding: 10px 20px; - border-bottom: 1px solid #ebebeb + border-bottom: 1px solid #ebebeb; } .swagger-ui .auth-container:last-of-type { margin: 0; padding: 10px 20px; - border: 0 + border: 0; } .swagger-ui .auth-container h4 { - margin: 5px 0 15px!important + margin: 5px 0 15px !important; } .swagger-ui .auth-container .wrapper { margin: 0; - padding: 0 + padding: 0; } -.swagger-ui .auth-container input[type=password], .swagger-ui .auth-container input[type=text] { - min-width: 230px +.swagger-ui .auth-container input[type="password"], +.swagger-ui .auth-container input[type="text"] { + min-width: 230px; } .swagger-ui .auth-container .errors { font-size: 12px; padding: 10px; border-radius: 4px; - font-family: Source Code Pro, monospace; + font-family: + Source Code Pro, + monospace; font-weight: 600; - color: #3b4151 + color: #3b4151; } .swagger-ui .scopes h2 { font-size: 14px; - font-family: Titillium Web, sans-serif; - color: #3b4151 + font-family: + Titillium Web, + sans-serif; + color: #3b4151; } .swagger-ui .scope-def { - padding: 0 0 20px + padding: 0 0 20px; } .swagger-ui .errors-wrapper { margin: 20px; padding: 10px 20px; - -webkit-animation: scaleUp .5s; - animation: scaleUp .5s; + -webkit-animation: scaleUp 0.5s; + animation: scaleUp 0.5s; border: 2px solid #f93e3e; border-radius: 4px; - background: rgba(249, 62, 62, .1) + background: rgba(249, 62, 62, 0.1); } .swagger-ui .errors-wrapper .error-wrapper { - margin: 0 0 10px + margin: 0 0 10px; } .swagger-ui .errors-wrapper .errors h4 { font-size: 14px; margin: 0; - font-family: Source Code Pro, monospace; + font-family: + Source Code Pro, + monospace; font-weight: 600; - color: #3b4151 + color: #3b4151; } .swagger-ui .errors-wrapper hgroup { @@ -1484,7 +1625,7 @@ display: flex; -webkit-box-align: center; -ms-flex-align: center; - align-items: center + align-items: center; } .swagger-ui .errors-wrapper hgroup h4 { @@ -1493,38 +1634,40 @@ -webkit-box-flex: 1; -ms-flex: 1; flex: 1; - font-family: Titillium Web, sans-serif; - color: #3b4151 + font-family: + Titillium Web, + sans-serif; + color: #3b4151; } @-webkit-keyframes scaleUp { 0% { - -webkit-transform: scale(.8); - transform: scale(.8); - opacity: 0 + -webkit-transform: scale(0.8); + transform: scale(0.8); + opacity: 0; } to { -webkit-transform: scale(1); transform: scale(1); - opacity: 1 + opacity: 1; } } @keyframes scaleUp { 0% { - -webkit-transform: scale(.8); - transform: scale(.8); - opacity: 0 + -webkit-transform: scale(0.8); + transform: scale(0.8); + opacity: 0; } to { -webkit-transform: scale(1); transform: scale(1); - opacity: 1 + opacity: 1; } } .swagger-ui .Resizer.vertical.disabled { - display: none + display: none; } /*# sourceMappingURL=swagger-ui.css.map*/ @@ -1537,182 +1680,197 @@ * Github: https://github.com/ostranme/swagger-ui-themes */ - .swagger-ui .opblock.opblock-post { - border-color: #ffffff; - background: #ffffff; - } - - .swagger-ui .opblock.opblock-post .opblock-summary-method { - background: #009688; - } - - .swagger-ui .opblock.opblock-post .opblock-summary { - border-color: #ffffff; - } - - .swagger-ui .opblock.opblock-post .tab-header .tab-item.active h4 span:after { - background: #009688; - } - - .swagger-ui .opblock.opblock-put { - border-color: #ffffff; - background: #ffffff; - } - - .swagger-ui .opblock.opblock-put .opblock-summary-method { - background: #ff9800; - } - - .swagger-ui .opblock.opblock-put .opblock-summary { - border-color: #ffffff; - } - - .swagger-ui .opblock.opblock-put .tab-header .tab-item.active h4 span:after { - background: #ff9800; - } - - .swagger-ui .opblock.opblock-delete { - border-color: #ffffff; - background: #ffffff; - } - - .swagger-ui .opblock.opblock-delete .opblock-summary-method { - background: #f44336; - } - - .swagger-ui .opblock.opblock-delete .opblock-summary { - border-color: #ffffff; - } - - .swagger-ui .opblock.opblock-delete .tab-header .tab-item.active h4 span:after { - background: #f44336; - } - - .swagger-ui .opblock.opblock-get { - border-color: #ffffff; - background: #ffffff; - } - - .swagger-ui .opblock.opblock-get .opblock-summary-method { - background: #3f51b5; - } - - .swagger-ui .opblock.opblock-get .opblock-summary { - border-color: #ffffff; - } - - .swagger-ui .opblock.opblock-get .tab-header .tab-item.active h4 span:after { - background: #3f51b5; - } - - .swagger-ui .opblock.opblock-patch { - border-color: #ffffff; - background: #ffffff; - } - - .swagger-ui .opblock.opblock-patch .opblock-summary-method { - background: #f57c00; - } - - .swagger-ui .opblock.opblock-patch .opblock-summary { - border-color: #ffffff; - } - - .swagger-ui .opblock.opblock-patch .tab-header .tab-item.active h4 span:after { - background: #f57c00; - } - - .swagger-ui .opblock.opblock-head { - border-color: #ffffff; - background: #ffffff; - } - - .swagger-ui .opblock.opblock-head .opblock-summary-method { - background: #3f51b5; - } - - .swagger-ui .opblock.opblock-head .opblock-summary { - border-color: #ffffff; - } - - .swagger-ui .opblock.opblock-head .tab-header .tab-item.active h4 span:after { +.swagger-ui .opblock.opblock-post { + border-color: #ffffff; + background: #ffffff; +} + +.swagger-ui .opblock.opblock-post .opblock-summary-method { + background: #009688; +} + +.swagger-ui .opblock.opblock-post .opblock-summary { + border-color: #ffffff; +} + +.swagger-ui .opblock.opblock-post .tab-header .tab-item.active h4 span:after { + background: #009688; +} + +.swagger-ui .opblock.opblock-put { + border-color: #ffffff; + background: #ffffff; +} + +.swagger-ui .opblock.opblock-put .opblock-summary-method { + background: #ff9800; +} + +.swagger-ui .opblock.opblock-put .opblock-summary { + border-color: #ffffff; +} + +.swagger-ui .opblock.opblock-put .tab-header .tab-item.active h4 span:after { + background: #ff9800; +} + +.swagger-ui .opblock.opblock-delete { + border-color: #ffffff; + background: #ffffff; +} + +.swagger-ui .opblock.opblock-delete .opblock-summary-method { + background: #f44336; +} + +.swagger-ui .opblock.opblock-delete .opblock-summary { + border-color: #ffffff; +} + +.swagger-ui .opblock.opblock-delete .tab-header .tab-item.active h4 span:after { + background: #f44336; +} + +.swagger-ui .opblock.opblock-get { + border-color: #ffffff; + background: #ffffff; +} + +.swagger-ui .opblock.opblock-get .opblock-summary-method { + background: #3f51b5; +} + +.swagger-ui .opblock.opblock-get .opblock-summary { + border-color: #ffffff; +} + +.swagger-ui .opblock.opblock-get .tab-header .tab-item.active h4 span:after { + background: #3f51b5; +} + +.swagger-ui .opblock.opblock-patch { + border-color: #ffffff; + background: #ffffff; +} + +.swagger-ui .opblock.opblock-patch .opblock-summary-method { + background: #f57c00; +} + +.swagger-ui .opblock.opblock-patch .opblock-summary { + border-color: #ffffff; +} + +.swagger-ui .opblock.opblock-patch .tab-header .tab-item.active h4 span:after { + background: #f57c00; +} + +.swagger-ui .opblock.opblock-head { + border-color: #ffffff; + background: #ffffff; +} + +.swagger-ui .opblock.opblock-head .opblock-summary-method { + background: #3f51b5; +} + +.swagger-ui .opblock.opblock-head .opblock-summary { + border-color: #ffffff; +} + +.swagger-ui .opblock.opblock-head .tab-header .tab-item.active h4 span:after { + background: #3f51b5; +} + +.swagger-ui .opblock.opblock-options { + border-color: #ffffff; + background: #ffffff; +} + +.swagger-ui .opblock.opblock-options .opblock-summary-method { + background: #3f51b5; +} + +.swagger-ui .opblock.opblock-options .opblock-summary { + border-color: #ffffff; +} + +.swagger-ui + .opblock.opblock-options + .tab-header + .tab-item.active + h4 + span:after { background: #3f51b5; - } - - .swagger-ui .opblock.opblock-options { - border-color: #ffffff; - background: #ffffff; - } - - .swagger-ui .opblock.opblock-options .opblock-summary-method { - background: #3f51b5; - } - - .swagger-ui .opblock.opblock-options .opblock-summary { - border-color: #ffffff; - } - - .swagger-ui .opblock.opblock-options .tab-header .tab-item.active h4 span:after { - background: #3f51b5; - } - - .swagger-ui .topbar { - padding: 8px 30px; - background-color: #3f51b5; - box-shadow: 0 5px 5px 0 rgba(0,0,0,.4), 0 3px 1px -2px rgba(0,0,0,.2), 0 1px 5px 0 rgba(0,0,0,.12); - } - - .swagger-ui .topbar .download-url-wrapper input[type=text] { - min-width: 350px; - margin: 0; - border: 2px solid #DADFE1; - border-radius: 4px 0 0 4px; - outline: none; - } - - .swagger-ui .topbar .download-url-wrapper .download-url-button { - font-size: 16px; - font-weight: 700; - padding: 4px 40px; - border: none; - border-radius: 0 4px 4px 0; - background: #ffffff; - font-family: Titillium Web, sans-serif; - color: #222222; - } - - .swagger-ui .info a { - font-size: 14px; - -webkit-transition: all .4s; - transition: all .4s; - font-family: Open Sans, sans-serif; - color: #3f51b5; - } - - .swagger-ui .info a:hover { - color: #3f51b5; - } - - .swagger-ui .btn.authorize { - line-height: 1; - display: inline; - color: #3f51b5; - border-color: #3f51b5; - } - - .swagger-ui .btn.authorize svg { - fill: #3f51b5; - } - - body { - margin:0; - background: #ffffff; - font-family: "Roboto","Helvetica","Arial",sans-serif; - } - - .swagger-ui .opblock { - margin: 0 0 15px; - border: none; - border-radius: 2px; - box-shadow: 0 2px 2px 0 rgba(0,0,0,.14),0 3px 1px -2px rgba(0,0,0,.2),0 1px 5px 0 rgba(0,0,0,.12); - } +} + +.swagger-ui .topbar { + padding: 8px 30px; + background-color: #3f51b5; + box-shadow: + 0 5px 5px 0 rgba(0, 0, 0, 0.4), + 0 3px 1px -2px rgba(0, 0, 0, 0.2), + 0 1px 5px 0 rgba(0, 0, 0, 0.12); +} + +.swagger-ui .topbar .download-url-wrapper input[type="text"] { + min-width: 350px; + margin: 0; + border: 2px solid #dadfe1; + border-radius: 4px 0 0 4px; + outline: none; +} + +.swagger-ui .topbar .download-url-wrapper .download-url-button { + font-size: 16px; + font-weight: 700; + padding: 4px 40px; + border: none; + border-radius: 0 4px 4px 0; + background: #ffffff; + font-family: + Titillium Web, + sans-serif; + color: #222222; +} + +.swagger-ui .info a { + font-size: 14px; + -webkit-transition: all 0.4s; + transition: all 0.4s; + font-family: + Open Sans, + sans-serif; + color: #3f51b5; +} + +.swagger-ui .info a:hover { + color: #3f51b5; +} + +.swagger-ui .btn.authorize { + line-height: 1; + display: inline; + color: #3f51b5; + border-color: #3f51b5; +} + +.swagger-ui .btn.authorize svg { + fill: #3f51b5; +} + +body { + margin: 0; + background: #ffffff; + font-family: "Roboto", "Helvetica", "Arial", sans-serif; +} + +.swagger-ui .opblock { + margin: 0 0 15px; + border: none; + border-radius: 2px; + box-shadow: + 0 2px 2px 0 rgba(0, 0, 0, 0.14), + 0 3px 1px -2px rgba(0, 0, 0, 0.2), + 0 1px 5px 0 rgba(0, 0, 0, 0.12); +} diff --git a/server/src/client/app/src/App.js b/server/src/client/app/src/App.js index 767bd360..72d92c97 100755 --- a/server/src/client/app/src/App.js +++ b/server/src/client/app/src/App.js @@ -15,7 +15,7 @@ import { green, grey, purple, - pink + pink, } from "@mui/material/colors"; import maTheme from "./theme"; @@ -34,24 +34,24 @@ class App extends React.Component { searchActive: false, animation: true, drawerWidth: 260, - setTheme: value => + setTheme: (value) => this.setState({ currentTheme: value }, this.log("Theme changed")), - toggleAnimation: value => + toggleAnimation: (value) => this.setState({ animation: value }, this.log("Animation changed")), - setSearchActive: value => + setSearchActive: (value) => this.setState({ searchActive: value }, this.log("Search bar changed")), toggleSearch: () => this.setState( { searchActive: !this.state.searchActive }, - this.log("Search bar changed") + this.log("Search bar changed"), ), miniDrawerToggle: () => this.setState( { miniDrawer: !this.state.miniDrawer, - drawerWidth: this.state.miniDrawer ? 260 : 57 + drawerWidth: this.state.miniDrawer ? 260 : 57, }, - this.log("Drawer changed") + this.log("Drawer changed"), ), // Auth @@ -64,20 +64,26 @@ class App extends React.Component { if (token != null) { const yourConfig = { headers: { - Authorization: "Bearer " + token - } + Authorization: "Bearer " + token, + }, }; axios - .get(process.env.REACT_APP_URL_SITE_BACKEND + "verifytoken", yourConfig) - .then(response => { + .get( + process.env.REACT_APP_URL_SITE_BACKEND + "verifytoken", + yourConfig, + ) + .then((response) => { if ( response.statusText !== undefined && response.statusText === "OK" && !this.state.loggedIn ) { axios - .get(process.env.REACT_APP_URL_SITE_BACKEND + "profile", yourConfig) - .then(response => { + .get( + process.env.REACT_APP_URL_SITE_BACKEND + "profile", + yourConfig, + ) + .then((response) => { let img = undefined; if (response.data.image.includes(path.sep)) { img = response.data.image; @@ -91,26 +97,26 @@ class App extends React.Component { loggedIn: true, userImage: img, userInitials: ini, - userID: userID + userID: userID, }, - this.log("Login changed: User profile loaded") + this.log("Login changed: User profile loaded"), ); }) - .catch(error => { + .catch((error) => { console.log("Could not fetch profile."); }); } else if (this.state.loggedIn) { this.setState( { loggedIn: false }, - this.log("Login changed: Authentication failed") + this.log("Login changed: Authentication failed"), ); } }) - .catch(error => { + .catch((error) => { if (this.state.loggedIn) { this.setState( { loggedIn: false }, - this.log("Login changed: Authentication check failed") + this.log("Login changed: Authentication check failed"), ); } }); @@ -119,7 +125,7 @@ class App extends React.Component { logIn: () => { this.setState( { loggedIn: true }, - this.log("Login changed: user logged in") + this.log("Login changed: user logged in"), ); }, logOut: () => { @@ -128,19 +134,19 @@ class App extends React.Component { loggedIn: false, userImage: undefined, userInitials: undefined, - userID: undefined + userID: undefined, }, - this.log("Login changed: user logged out") + this.log("Login changed: user logged out"), ); }, - setUserImage: value => { + setUserImage: (value) => { console.log(value); if (value.includes(path.sep)) { //check if valid path this.setState({ userImage: value }, this.log("User image changed")); } }, - setUserInitials: value => { + setUserInitials: (value) => { console.log(value); this.setState({ userInitials: value }, this.log("User initials changed")); }, @@ -179,33 +185,38 @@ class App extends React.Component { toggleSplit: () => this.setState( { displaySplit: !this.state.displaySplit }, - this.log("Split view changed") + this.log("Split view changed"), ), toggleStats: () => this.setState( { displayStats: !this.state.displayStats }, - this.log("Stats view changed") + this.log("Stats view changed"), ), - setType: value => { + setType: (value) => { this.setState({ type: value, activeTab: 0 }, this.log("Type changed")); }, - setActiveTab: value => { + setActiveTab: (value) => { this.setState({ activeTab: value }, this.log("Active tab changed")); }, - setSubType: value => { + setSubType: (value) => { this.setState({ subType: value }, this.log("SubType changed")); }, - setTag: value => { + setTag: (value) => { this.setState({ tag: value }, this.log("Tag changed")); }, - setLoading: value => { + setLoading: (value) => { this.setState({ loading: value }, this.log("Loading changed")); }, - setQuery: value => { + setQuery: (value) => { if (value === "") { value = undefined; } - let state_update = { query: value, updateType: "query", startCount: 0, results: [] }; + let state_update = { + query: value, + updateType: "query", + startCount: 0, + results: [], + }; if (value !== undefined) { state_update["sort"] = "match"; } else { @@ -213,30 +224,31 @@ class App extends React.Component { } this.setState(state_update, this.log("Query set")); }, - setFields: value => { + setFields: (value) => { this.setState({ fields: value }, this.log("Fields changed")); }, - setSort: value => { + setSort: (value) => { this.setState({ sort: value }, this.log("Sort changed")); }, resetStartCount: () => { - this.setState({ startCount: 0, startSubCount: 0 }, this.log("StartCount reset")); + this.setState( + { startCount: 0, startSubCount: 0 }, + this.log("StartCount reset"), + ); }, - setOrder: value => { + setOrder: (value) => { this.setState({ order: value }, this.log("Order changed")); }, - setID: value => { + setID: (value) => { this.setState({ id: value, activeTab: 0 }, this.log("ID changed")); }, setResults: (counts, results) => { - this.setState( - { - counts: counts, - results: results, - updateType: "results", - startCount: results.length - }, - ); + this.setState({ + counts: counts, + results: results, + updateType: "results", + startCount: results.length, + }); }, setSubResults: (counts, results) => { this.setState( @@ -244,9 +256,9 @@ class App extends React.Component { subCounts: counts, subResults: results, updateType: "subresults", - startSubCount: results.length + startSubCount: results.length, }, - this.log("Search subresults changed") + this.log("Search subresults changed"), ); }, setSubSearch: (type, filters) => { @@ -255,11 +267,12 @@ class App extends React.Component { subFilters: filters, updateType: "subquery", subResults: [], - startSubCount: 0 + startSubCount: 0, }; this.setState(update); }, - setSearch: (qp, fields) => { // parses search from url query parameters + setSearch: (qp, fields) => { + // parses search from url query parameters if (JSON.stringify(qp) === this.state.qjson) return; let qchanged = false; let idChanged = false; @@ -271,20 +284,22 @@ class App extends React.Component { displaySearch: true, filters: this.state.type === qp.type ? this.state.filters : [], // reset query if type changes - query: (this.state.type === qp.type || this.state.type === undefined) ? this.state.query : undefined + query: + this.state.type === qp.type || this.state.type === undefined + ? this.state.query + : undefined, }; - if (this.state.type !== qp.type){ + if (this.state.type !== qp.type) { document.getElementById("searchbar").value = ""; } - + // check for removed keys - Object.keys(this.state.filters).forEach(key => { + Object.keys(this.state.filters).forEach((key) => { if (!(key in qp)) { delete this.state.filters[key]; qchanged = true; } - } - ); + }); // process query parameters Object.entries(qp).forEach(([key, value]) => { // Sorting and ID filters @@ -293,7 +308,8 @@ class App extends React.Component { if (this.state[key] !== value && key !== "id") { qchanged = true; } - if (key === "type" && this.state[key] !== value ) { //reset active tab if type changes + if (key === "type" && this.state[key] !== value) { + //reset active tab if type changes update["activeTab"] = 0; update["startSubCount"] = 0; qchanged = true; @@ -305,12 +321,21 @@ class App extends React.Component { let type = "="; let value2 = undefined; // TODO: we need to add a special case for every filter that can have '_' in its values, think of a better way - if (!key.startsWith("tags") && !key.startsWith("status") && !key.startsWith("format") && value.split("_").length === 2) { + if ( + !key.startsWith("tags") && + !key.startsWith("status") && + !key.startsWith("format") && + value.split("_").length === 2 + ) { let vals = value.split("_"); type = vals[0]; value = vals[1]; } - if (!key.startsWith("tags") && !key.startsWith("status") && value.split("_").length === 3) { + if ( + !key.startsWith("tags") && + !key.startsWith("status") && + value.split("_").length === 3 + ) { let vals = value.split("_"); type = vals[0]; value = vals[1]; @@ -322,7 +347,7 @@ class App extends React.Component { this.state.filters[key].type !== type || this.state.filters[key].value !== value ) { - if (update.filters[key] !== undefined){ + if (update.filters[key] !== undefined) { update.filters[key].type = type; update.filters[key].value = value; } @@ -355,7 +380,7 @@ class App extends React.Component { update.startCount = 0; this.setState(update); } else if ( - (qp["id"] !== undefined && this.state.id !== qp["id"]) || + (qp["id"] !== undefined && this.state.id !== qp["id"]) || (qp["id"] === undefined && this.state.id !== undefined) || idChanged ) { @@ -365,12 +390,12 @@ class App extends React.Component { updateType: "id", displaySearch: update["displaySearch"], startSubCount: 0, - activeTab: 0 + activeTab: 0, }); } else { if (this.state.updateType !== undefined) { this.setState({ - updateType: undefined + updateType: undefined, }); } //console.log("Nothing to do"); @@ -385,11 +410,11 @@ class App extends React.Component { } //console.log(filters); this.setState(update); - } + }, }; // Logs state change when in developer mode. - log = message => { + log = (message) => { if (!process.env.NODE_ENV || process.env.NODE_ENV === "development") { // console.log(message); } @@ -400,10 +425,7 @@ class App extends React.Component { return green[500]; } else if (type === "task") { return orange[600]; - } else if ( - type === "flow" || - window.location.pathname.startsWith("/api") - ) { + } else if (type === "flow" || window.location.pathname.startsWith("/api")) { return blue[800]; } else if ( type === "run" || @@ -415,7 +437,7 @@ class App extends React.Component { window.location.pathname.startsWith("/meet") ) { return purple[600]; - } else if ( type === "benchmark" ) { + } else if (type === "benchmark") { return pink[400]; } else if ( type === "task_type" || @@ -443,7 +465,7 @@ class App extends React.Component { case "flow": return "cog"; case "run": - return "flask"; + return "flask"; case "study": return "layer-group"; case "benchmark": diff --git a/server/src/client/app/src/components/Async.js b/server/src/client/app/src/components/Async.js index be78228a..20430ffe 100755 --- a/server/src/client/app/src/components/Async.js +++ b/server/src/client/app/src/components/Async.js @@ -2,7 +2,7 @@ import React from "react"; import Loader from "./Loader"; -const sleep = m => new Promise(r => setTimeout(r, m)); +const sleep = (m) => new Promise((r) => setTimeout(r, m)); export default function asyncComponent(importComponent) { class AsyncComponent extends React.Component { @@ -10,7 +10,7 @@ export default function asyncComponent(importComponent) { super(props); this.state = { - component: null + component: null, }; } @@ -20,7 +20,7 @@ export default function asyncComponent(importComponent) { const { default: component } = await importComponent(); this.setState({ - component: component + component: component, }); } diff --git a/server/src/client/app/src/components/Boop.js b/server/src/client/app/src/components/Boop.js index a86b2c1b..c686ac61 100644 --- a/server/src/client/app/src/components/Boop.js +++ b/server/src/client/app/src/components/Boop.js @@ -1,5 +1,5 @@ -import React from 'react'; -import { useSpring } from '@react-spring/web'; +import React from "react"; +import { useSpring } from "@react-spring/web"; function useBoop({ x = 0, @@ -41,4 +41,4 @@ function useBoop({ return [appliedStyle, trigger]; } -export default useBoop; \ No newline at end of file +export default useBoop; diff --git a/server/src/client/app/src/components/Footer.js b/server/src/client/app/src/components/Footer.js index ec4b227c..16a246bf 100755 --- a/server/src/client/app/src/components/Footer.js +++ b/server/src/client/app/src/components/Footer.js @@ -6,21 +6,21 @@ import { Hidden, List, ListItemText, - ListItem as MuiListItem + ListItem as MuiListItem, } from "@mui/material"; const Wrapper = styled.div` - padding: ${props => props.theme.spacing(1) / 4} - ${props => props.theme.spacing(4)}; - background: ${props => props.theme.palette.common.white}; + padding: ${(props) => props.theme.spacing(1) / 4} + ${(props) => props.theme.spacing(4)}; + background: ${(props) => props.theme.palette.common.white}; position: relative; `; const ListItem = styled(MuiListItem)` display: inline-block; width: auto; - padding-left: ${props => props.theme.spacing(2)}; - padding-right: ${props => props.theme.spacing(2)}; + padding-left: ${(props) => props.theme.spacing(2)}; + padding-right: ${(props) => props.theme.spacing(2)}; &, &:hover, diff --git a/server/src/client/app/src/components/Header.js b/server/src/client/app/src/components/Header.js index 9df4398b..e0195905 100755 --- a/server/src/client/app/src/components/Header.js +++ b/server/src/client/app/src/components/Header.js @@ -18,26 +18,19 @@ import { Toolbar, CardHeader, ListItemIcon, - Avatar + Avatar, } from "@mui/material"; -import withStyles from '@mui/styles/withStyles'; +import withStyles from "@mui/styles/withStyles"; -import { - blue, - yellow, - orange, - red, - green, - purple -} from "@mui/material/colors"; +import { blue, yellow, orange, red, green, purple } from "@mui/material/colors"; import { FontAwesomeIcon } from "@fortawesome/react-fontawesome"; import { MainContext } from "../App.js"; const AppBar = styled(MuiAppBar)` - background: ${props => props.theme.header.background}; - color: ${props => props.theme.header.color}; - box-shadow: ${props => props.theme.shadows[1]}; + background: ${(props) => props.theme.header.background}; + color: ${(props) => props.theme.header.color}; + box-shadow: ${(props) => props.theme.shadows[1]}; `; const IconButton = styled(MuiIconButton)` @@ -48,17 +41,17 @@ const IconButton = styled(MuiIconButton)` `; const Search = styled.div` - ${props => + ${(props) => props.bg === "Gradient" && css` background: transparent; `} - ${props => + ${(props) => props.bg !== "Gradient" && props.searchcolor && props.currenttheme === 1 && css` - background-color: ${props => props.searchcolor}; + background-color: ${(props) => props.searchcolor}; `} border-radius: 2px; display: none; @@ -66,28 +59,28 @@ const Search = styled.div` width: 100%; &:hover { - background-color: ${props => - props.bg === "Gradient" - ? "transparent" - : darken(0.05, props.theme.header.background)}; - ${props => - props.bg !== "Gradient" && - props.searchcolor && - props.currenttheme === 1 && - css` - background-color: ${props => darken(0.05, props.searchcolor)}; + background-color: ${(props) => + props.bg === "Gradient" + ? "transparent" + : darken(0.05, props.theme.header.background)}; + ${(props) => + props.bg !== "Gradient" && + props.searchcolor && + props.currenttheme === 1 && + css` + background-color: ${(props) => darken(0.05, props.searchcolor)}; `} } - ${props => props.theme.breakpoints.up("md")} { + ${(props) => props.theme.breakpoints.up("md")} { display: inline-block; margin-left: 60px; } - ${props => props.theme.breakpoints.up("lg")} { + ${(props) => props.theme.breakpoints.up("lg")} { display: inline-block; margin-left: 0px; } - ${props => + ${(props) => props.bg === "" && css` display: block; @@ -114,18 +107,18 @@ const Input = styled(InputBase)` width: 100%; > input { - color: ${props => - props.bg === "Gradient" ? "white" : props.theme.header.search.color}; - padding-top: ${props => props.theme.spacing(2.5)}; - padding-right: ${props => props.theme.spacing(2.5)}; - padding-bottom: ${props => props.theme.spacing(2.5)}; - padding-left: ${props => props.theme.spacing(8)}; + color: ${(props) => + props.bg === "Gradient" ? "white" : props.theme.header.search.color}; + padding-top: ${(props) => props.theme.spacing(2.5)}; + padding-right: ${(props) => props.theme.spacing(2.5)}; + padding-bottom: ${(props) => props.theme.spacing(2.5)}; + padding-left: ${(props) => props.theme.spacing(8)}; width: 80%; } > input::placeholder { - color: ${props => - props.bg === "Gradient" ? "white" : props.theme.header.search.color}; + color: ${(props) => + props.bg === "Gradient" ? "white" : props.theme.header.search.color}; opacity: 0.8; } `; @@ -145,43 +138,43 @@ const StyledLink = styled(Link)` `; const WhiteIcon = styled(FontAwesomeIcon)` - color: ${props => + color: ${(props) => props.bg === "Gradient" ? "white" : props.theme.header.color}; `; const UserButton = styled(Button)` - display: ${props => (props.bg === "" ? "none" : "inline-block")}; - color: ${props => + display: ${(props) => (props.bg === "" ? "none" : "inline-block")}; + color: ${(props) => props.bg === "Gradient" || props.currenttheme === 1 ? "white" : "inherit"}; - border-color: ${props => (props.bg === "Gradient" ? "white" : "inherit")}; + border-color: ${(props) => (props.bg === "Gradient" ? "white" : "inherit")}; - ${props => props.theme.breakpoints.up("md")} { + ${(props) => props.theme.breakpoints.up("md")} { display: inline-block; } `; const SearchButton = styled(Button)` - color: ${props => + color: ${(props) => props.bg === "Gradient" || props.theme === 1 ? "white" : "inherit"}; `; const SlimCardHeader = styled(CardHeader)({ padding: 0, - marginRight: 0 + marginRight: 0, }); const StyledMenu = withStyles({ paper: { - border: "1px solid #d3d4d5" - } -})(props => ( + border: "1px solid #d3d4d5", + }, +})((props) => ( @@ -189,7 +182,7 @@ const StyledMenu = withStyles({ const StyledMenuItem = styled(MenuItem)` &:hover { - background-color: ${props => props.theme.palette.primary.main}; + background-color: ${(props) => props.theme.palette.primary.main}; } , .MuiListItemIcon-root { @@ -198,7 +191,6 @@ const StyledMenuItem = styled(MenuItem)` `; class UserMenu extends Component { - randomColor = () => { let colors = [blue, orange, red, green, purple]; return colors[Math.floor(Math.random() * colors.length)][ @@ -209,13 +201,13 @@ class UserMenu extends Component { state = { anchorMenu: null, anchorNewMenu: null, - avatarColor: this.randomColor + avatarColor: this.randomColor, }; - toggleMenu = event => { + toggleMenu = (event) => { this.setState({ anchorMenu: event.currentTarget }); }; - toggleNewMenu = event => { + toggleNewMenu = (event) => { this.setState({ anchorNewMenu: event.currentTarget }); }; @@ -231,7 +223,7 @@ class UserMenu extends Component { return (
- {context => (
+ {(context) => (
{loggedOut ? (
@@ -257,46 +249,48 @@ class UserMenu extends Component {
) : (
-
-
-
-
-
- {context.userInitials}
-
- }
- />
-
-
- )}
+
+
+
+
+
+ {context.userInitials}
+
+ }
+ />
+
+
+ )}
{
const yourConfig = {
headers: {
- Authorization: "Bearer " + localStorage.getItem("token")
- }
+ Authorization: "Bearer " + localStorage.getItem("token"),
+ },
};
axios
.post(
process.env.REACT_APP_URL_SITE_BACKEND + "logout",
{
- logout: "true"
+ logout: "true",
},
- yourConfig
+ yourConfig,
)
- .then(response => {
+ .then((response) => {
console.log(response.data);
context.logOut();
context.setSearchActive(false);
})
- .catch(error => {
+ .catch((error) => {
console.log(error);
});
this.closeMenu();
@@ -403,26 +397,26 @@ class UserMenu extends Component {
}
const FlexAppBar = styled(AppBar)`
- ${props =>
+ ${(props) =>
props.bg === "Gradient" &&
css`
background: transparent;
`}
- ${props =>
+ ${(props) =>
props.bg !== "Gradient" &&
props.searchcolor &&
props.currenttheme === 1 &&
css`
- background-color: ${props => props.searchcolor};
+ background-color: ${(props) => props.searchcolor};
`}
- box-shadow: ${props =>
+ box-shadow: ${(props) =>
props.bg === "Gradient" || props.searchcolor ? "none" : ""};
`;
const Header = ({ onDrawerToggle, bg, routes, loggedIn }) => (
- {context => (
+ {(context) => (
(
-
+
(
currenttheme={context.currentTheme}
style={{
fontSize: 18,
- width: 90
+ width: 90,
}}
>
OpenML
@@ -481,8 +479,8 @@ const Header = ({ onDrawerToggle, bg, routes, loggedIn }) => (
placeholder={"Search " + context.getSearchTopic()}
defaultValue={context.query ? context.query : null}
bg={context.searchActive ? "" : bg}
- onKeyPress={event => {
- if (event.key === 'Enter') {
+ onKeyPress={(event) => {
+ if (event.key === "Enter") {
event.preventDefault();
context.setQuery(event.target.value);
}
@@ -500,8 +498,8 @@ const Header = ({ onDrawerToggle, bg, routes, loggedIn }) => (
{context.searchActive ? (
diff --git a/server/src/client/app/src/components/Loader.js b/server/src/client/app/src/components/Loader.js
index deb9d63d..28c9d35a 100755
--- a/server/src/client/app/src/components/Loader.js
+++ b/server/src/client/app/src/components/Loader.js
@@ -23,6 +23,6 @@ const Loader = () => {
- {context => (
+ {(context) => (
{/* The OpenML logo in svg format */}
@@ -493,9 +516,11 @@ class Sidebar extends React.Component {
context.filters.study_type.value) // Only show subtype counts if a subtype is selected
? context.counts
: 0
- : this.state.counts[category.entity_type]
- ? this.state.counts[category.entity_type]
- : 0
+ : this.state.counts[category.entity_type]
+ ? this.state.counts[
+ category.entity_type
+ ]
+ : 0
}
/>
))}
@@ -523,9 +548,9 @@ class Sidebar extends React.Component {
? this.abbreviateNumber(context.counts)
: this.state.counts[category.entity_type]
: context.type === undefined &&
- this.state.counts[category.entity_type]
- ? this.state.counts[category.entity_type]
- : 0
+ this.state.counts[category.entity_type]
+ ? this.state.counts[category.entity_type]
+ : 0
}
activecategory={
(location.pathname !== "/search" &&
@@ -583,31 +608,27 @@ class Sidebar extends React.Component {
- {context => (
+ {(context) => (
{context.miniDrawer ? (
) : (
-
- );
+ );
}
-export default APIKey;
\ No newline at end of file
+export default APIKey;
diff --git a/server/src/client/app/src/pages/auth/CollectionRunsUpload.js b/server/src/client/app/src/pages/auth/CollectionRunsUpload.js
index e40687b3..47953352 100644
--- a/server/src/client/app/src/pages/auth/CollectionRunsUpload.js
+++ b/server/src/client/app/src/pages/auth/CollectionRunsUpload.js
@@ -9,19 +9,19 @@ import {
Input,
InputLabel,
TextField,
- Typography
+ Typography,
} from "@mui/material";
import { spacing } from "@mui/system";
import { Redirect } from "react-router-dom";
const Wrapper = styled(Paper)`
- padding: ${props => props.theme.spacing(6)};
- margin-top:20px;
- margin-bottom:20px;
+ padding: ${(props) => props.theme.spacing(6)};
+ margin-top: 20px;
+ margin-bottom: 20px;
- ${props => props.theme.breakpoints.up("md")} {
- padding: ${props => props.theme.spacing(10)};
+ ${(props) => props.theme.breakpoints.up("md")} {
+ padding: ${(props) => props.theme.spacing(10)};
}
`;
const FormControl = styled(MuiFormControl)(spacing);
@@ -33,8 +33,8 @@ function Public() {
const yourConfig = {
headers: {
- Authorization: "Bearer " + localStorage.getItem("token")
- }
+ Authorization: "Bearer " + localStorage.getItem("token"),
+ },
};
function datatoflask(event) {
@@ -47,17 +47,17 @@ function Public() {
description: event.target.description.value,
collectionname: event.target.collectionname.value,
run_ids: event.target.runids.value,
- benchmark: event.target.benchmark.value
+ benchmark: event.target.benchmark.value,
},
- yourConfig
+ yourConfig,
)
- .then(function(response) {
+ .then(function (response) {
if (response.data.msg === "collection uploaded") {
setSuccess(true);
}
console.log(response.data);
})
- .catch(function(error) {
+ .catch(function (error) {
setError(true);
setErrorMessage("Could not upload collection");
console.log(error.data);
@@ -69,8 +69,8 @@ function Public() {
return (
);
}
@@ -332,7 +370,7 @@ function Settings() {
{/*
-
-
- );
+ const [msg, setMessage] = useState(false);
+
+ function feedbacktoflask(event) {
+ event.preventDefault();
+ axios
+ .post(process.env.REACT_APP_URL_SITE_BACKEND + "feedback", {
+ email: event.target.email.value,
+ feedback: event.target.feedback.value,
+ })
+ .then((response) => {
+ console.log(response.data);
+ if (response.data.msg === "Email sent") {
+ setMessage(true);
+ }
+ })
+ .catch((error) => {
+ console.log(error);
+ });
+ return false;
+ }
+
+ return (
+
+
+
+ );
}
function Settings() {
- return (
-
-
- Feedback
-
-
-
-
-
-
-
-
-
- );
+ return (
+
+
+ Feedback
+
+
+
+
+
+
+
+ );
}
-export default Settings;
\ No newline at end of file
+export default Settings;
diff --git a/server/src/client/app/src/pages/auth/Profile.js b/server/src/client/app/src/pages/auth/Profile.js
index 9d28c837..e0169937 100755
--- a/server/src/client/app/src/pages/auth/Profile.js
+++ b/server/src/client/app/src/pages/auth/Profile.js
@@ -13,7 +13,7 @@ import {
InputLabel,
TextField,
Typography,
- CardContent
+ CardContent,
} from "@mui/material";
import { spacing } from "@mui/system";
@@ -31,7 +31,7 @@ const MainPaper = styled(Paper)`
min-height: 100vh;
display: flex;
flex-direction: column;
- background: ${props =>
+ background: ${(props) =>
props.bg === "Gradient" ? "transparent" : props.theme.body.background};
padding: 40px;
`;
@@ -43,37 +43,37 @@ const CenteredContent = styled.div`
const BigAvatar = styled(Avatar)`
width: 120px;
height: 120px;
- margin: 0 auto ${props => props.theme.spacing(2)};
+ margin: 0 auto ${(props) => props.theme.spacing(2)};
`;
function Public() {
- const [email, setEmail] = useState('');
- const [bio, setBio] = useState('');
- const [fname, setFname] = useState('');
- const [lname, setLname] = useState('');
- const [image, setImage] = useState('');
+ const [email, setEmail] = useState("");
+ const [bio, setBio] = useState("");
+ const [fname, setFname] = useState("");
+ const [lname, setLname] = useState("");
+ const [image, setImage] = useState("");
const [error, setError] = useState(false);
const [errormessage, setErrorMessage] = useState(false);
const [success, setSuccess] = useState(false);
const yourConfig = {
headers: {
- Authorization: "Bearer " + localStorage.getItem("token")
- }
+ Authorization: "Bearer " + localStorage.getItem("token"),
+ },
};
useEffect(() => {
axios
.get(process.env.REACT_APP_URL_SITE_BACKEND + "profile", yourConfig)
- .then(function(response) {
+ .then(function (response) {
console.log(response);
- setImage(response.data.image || '');
- setEmail(response.data.email || '');
- setBio(response.data.bio || '');
- setFname(response.data.first_name || '');
- setLname(response.data.last_name || '');
+ setImage(response.data.image || "");
+ setEmail(response.data.email || "");
+ setBio(response.data.bio || "");
+ setFname(response.data.first_name || "");
+ setLname(response.data.last_name || "");
})
- .catch(function(error) {
+ .catch(function (error) {
console.log(error);
});
}, []); // Only run once on mount
@@ -83,7 +83,7 @@ function Public() {
event.preventDefault();
if (
/[a-zA-Z0-9]+@(?:[a-zA-Z0-9]+\.)+[A-Za-z]+$/.test(
- event.target.email.value
+ event.target.email.value,
) !== true
) {
setError(true);
@@ -97,17 +97,17 @@ function Public() {
bio: event.target.biography.value,
first_name: event.target.firstname.value,
last_name: event.target.lastname.value,
- email: event.target.email.value
+ email: event.target.email.value,
},
- yourConfig
+ yourConfig,
)
- .then(function(response) {
+ .then(function (response) {
console.log(response.data);
if (response.data.msg === "User information changed") {
setSuccess(true);
}
})
- .catch(function(error) {
+ .catch(function (error) {
console.log(error.data);
});
let images = event.target.image.files;
@@ -122,10 +122,10 @@ function Public() {
.post(
process.env.REACT_APP_URL_SITE_BACKEND + "image",
formData,
- yourConfig
+ yourConfig,
)
- .then(response => console.log(response))
- .catch(errors => console.log(errors));
+ .then((response) => console.log(response))
+ .catch((errors) => console.log(errors));
}
}
return false;
@@ -134,85 +134,90 @@ function Public() {
return (
-
);
diff --git a/server/src/client/app/src/pages/auth/ProfilePage.js b/server/src/client/app/src/pages/auth/ProfilePage.js
index 713e7ab0..a3f2bd77 100755
--- a/server/src/client/app/src/pages/auth/ProfilePage.js
+++ b/server/src/client/app/src/pages/auth/ProfilePage.js
@@ -5,43 +5,44 @@ import axios from "axios";
import {
Avatar,
Button,
- Dialog,
+ Dialog,
DialogContent,
Card as MuiCard,
CardContent,
Grid,
Typography,
Paper,
- CardActionArea
+ CardActionArea,
} from "@mui/material";
import { spacing } from "@mui/system";
import { FontAwesomeIcon } from "@fortawesome/react-fontawesome";
import { green, yellow, blue, red } from "@mui/material/colors";
-import APIKey from "./APIKey";
+import APIKey from "./APIKey";
const Card = styled(MuiCard)(spacing);
const BigAvatar = styled(Avatar)`
width: 120px;
height: 120px;
- margin: 0 auto ${props => props.theme.spacing(2)}px;
+ margin: 0 auto ${(props) => props.theme.spacing(2)}px;
`;
const BlueMenuIcon = styled(FontAwesomeIcon)({
cursor: "pointer",
- color: blue[800]
+ color: blue[800],
});
const MainPaper = styled(Paper)`
flex: 1;
min-height: 100vh;
display: flex;
flex-direction: column;
- background: ${props =>
+ background: ${(props) =>
props.bg === "Gradient" ? "transparent" : props.theme.body.background};
padding: 40px;
`;
-const ELASTICSEARCH_SERVER = process.env.REACT_APP_URL_ELASTICSEARCH || "https://www.openml.org/es/";
+const ELASTICSEARCH_SERVER =
+ process.env.REACT_APP_URL_ELASTICSEARCH || "https://www.openml.org/es/";
function APIKeyModalButton() {
const [open, setOpen] = useState(false);
@@ -77,14 +78,14 @@ function Public() {
useEffect(() => {
const yourConfig = {
- headers: {
- Authorization: "Bearer " + localStorage.getItem("token")
- }
+ headers: {
+ Authorization: "Bearer " + localStorage.getItem("token"),
+ },
};
axios
.get(process.env.REACT_APP_URL_SITE_BACKEND + "profile", yourConfig)
- .then(function(response) {
+ .then(function (response) {
console.log(response);
setImage(response.data.image);
setEmail(response.data.email);
@@ -94,8 +95,8 @@ function Public() {
setId(response.data.id);
if (id !== false) {
fetch(`${ELASTICSEARCH_SERVER}user/user/` + id.toString())
- .then(response => response.json())
- .then(data => {
+ .then((response) => response.json())
+ .then((data) => {
setDataset(data._source.datasets_uploaded);
setRun(data._source.runs_uploaded);
setTask(data._source.tasks_uploaded);
@@ -103,61 +104,89 @@ function Public() {
});
}
})
- .catch(function(error) {
+ .catch(function (error) {
console.log(error);
});
}, [id]);
const items = [
- { keyword: 'dataset', count: dataset, url: '../search?type=data&sort=date&uploader_id=%3D_'+id, color: green[400] },
- { keyword: 'task', count: task, url: '../search?type=task&sort=date&uploader_id=%3D_'+id, color: yellow[700] },
- { keyword: 'model', count: flow, url: '../search?type=flow&sort=date&uploader_id=%3D_'+id, color: blue[800] },
- { keyword: 'run', count: run, url: '../search?type=run&sort=date&uploader_id=%3D_'+id, color: red[400] },
+ {
+ keyword: "dataset",
+ count: dataset,
+ url: "../search?type=data&sort=date&uploader_id=%3D_" + id,
+ color: green[400],
+ },
+ {
+ keyword: "task",
+ count: task,
+ url: "../search?type=task&sort=date&uploader_id=%3D_" + id,
+ color: yellow[700],
+ },
+ {
+ keyword: "model",
+ count: flow,
+ url: "../search?type=flow&sort=date&uploader_id=%3D_" + id,
+ color: blue[800],
+ },
+ {
+ keyword: "run",
+ count: run,
+ url: "../search?type=run&sort=date&uploader_id=%3D_" + id,
+ color: red[400],
+ },
];
return (
-
-
-
-
-
- {fname || lname ? `${fname ?? ''} ${lname ?? ''}`.trim() : 'Anonymous'}
-
- {bio ? bio : "No bio available."}
-
-
-
+
+
+
+
+
+ {fname || lname
+ ? `${fname ?? ""} ${lname ?? ""}`.trim()
+ : "Anonymous"}
+
+ {bio ? bio : "No bio available."}
+
+
+
+
-
-
-
-
-
-
-
+
+
+
+
+
+
+
-
- {items.map(({ keyword, count, url, color }, index) => (
-
-
-
-
-
- {count} {keyword}{count !== 1 ? 's' : ''}
-
-
-
-
-
- ))}
+ {items.map(({ keyword, count, url, color }, index) => (
+
+
+
+
+
+ {count} {keyword}
+ {count !== 1 ? "s" : ""}
+
+
+
+
+
+ ))}
);
diff --git a/server/src/client/app/src/pages/auth/ResetPage.js b/server/src/client/app/src/pages/auth/ResetPage.js
index f2da7b0d..9ab26ecd 100644
--- a/server/src/client/app/src/pages/auth/ResetPage.js
+++ b/server/src/client/app/src/pages/auth/ResetPage.js
@@ -9,17 +9,17 @@ import {
InputLabel,
Button as MuiButton,
Paper,
- Typography
+ Typography,
} from "@mui/material";
import { spacing } from "@mui/system";
const Button = styled(MuiButton)(spacing);
const Wrapper = styled(Paper)`
- padding: ${props => props.theme.spacing(6)};
+ padding: ${(props) => props.theme.spacing(6)};
- ${props => props.theme.breakpoints.up("md")} {
- padding: ${props => props.theme.spacing(10)};
+ ${(props) => props.theme.breakpoints.up("md")} {
+ padding: ${(props) => props.theme.spacing(10)};
}
`;
@@ -28,12 +28,12 @@ function ResetPage() {
const [redirect, setRedirect] = useState(false);
axios
.post(process.env.REACT_APP_URL_SITE_BACKEND + "forgot-token", {
- url: window.location.href
+ url: window.location.href,
})
- .then(function(response) {
+ .then(function (response) {
console.log(response.data);
})
- .catch(function(error) {
+ .catch(function (error) {
console.log(error.data);
});
function sendflask(event) {
@@ -42,13 +42,13 @@ function ResetPage() {
axios
.post(process.env.REACT_APP_URL_SITE_BACKEND + "resetpassword", {
url: window.location.href,
- password: event.target.password.value
+ password: event.target.password.value,
})
- .then(function(response) {
+ .then(function (response) {
console.log(response.data);
setRedirect(true);
})
- .catch(function(error) {
+ .catch(function (error) {
console.log("error");
console.log(error.data);
});
diff --git a/server/src/client/app/src/pages/auth/ResetPassword.js b/server/src/client/app/src/pages/auth/ResetPassword.js
index 7eae70f7..a45cd3bb 100755
--- a/server/src/client/app/src/pages/auth/ResetPassword.js
+++ b/server/src/client/app/src/pages/auth/ResetPassword.js
@@ -1,77 +1,74 @@
-import React, {useState} from "react";
+import React, { useState } from "react";
import styled from "styled-components";
import axios from "axios";
-import {Redirect} from "react-router-dom";
+import { Redirect } from "react-router-dom";
import {
- FormControl,
- Input,
- InputLabel,
- Button as MuiButton,
- Paper,
- Typography
+ FormControl,
+ Input,
+ InputLabel,
+ Button as MuiButton,
+ Paper,
+ Typography,
} from "@mui/material";
-import {spacing} from "@mui/system";
-
+import { spacing } from "@mui/system";
const Button = styled(MuiButton)(spacing);
const Wrapper = styled(Paper)`
- padding: ${props => props.theme.spacing(6)};
+ padding: ${(props) => props.theme.spacing(6)};
- ${props => props.theme.breakpoints.up("md")} {
- padding: ${props => props.theme.spacing(10)};
+ ${(props) => props.theme.breakpoints.up("md")} {
+ padding: ${(props) => props.theme.spacing(10)};
}
`;
function ResetPassword() {
- const [mail, setMail] = useState(false);
+ const [mail, setMail] = useState(false);
- function sendflask(event) {
- event.preventDefault();
- console.log("executed");
- axios
- .post(process.env.REACT_APP_URL_SITE_BACKEND + "forgotpassword", {
- email: event.target.email.value
- })
- .then(function (response) {
- console.log(response.data);
- setMail(true);
- })
- .catch(function (error) {
- console.log(error.data);
- });
- }
+ function sendflask(event) {
+ event.preventDefault();
+ console.log("executed");
+ axios
+ .post(process.env.REACT_APP_URL_SITE_BACKEND + "forgotpassword", {
+ email: event.target.email.value,
+ })
+ .then(function (response) {
+ console.log(response.data);
+ setMail(true);
+ })
+ .catch(function (error) {
+ console.log(error.data);
+ });
+ }
- return (
-
-
- Reset password
-
- {mail && (
-
- Please enter your email. We send you a link to reset your password.
-
-
-
- );
+ return (
+
+
+ Reset password
+
+ {mail &&
+ Please enter your email. We send you a link to reset your password.
+
+
+
+ );
}
export default ResetPassword;
diff --git a/server/src/client/app/src/pages/auth/SignIn.js b/server/src/client/app/src/pages/auth/SignIn.js
index 7f5f17ea..5f418524 100755
--- a/server/src/client/app/src/pages/auth/SignIn.js
+++ b/server/src/client/app/src/pages/auth/SignIn.js
@@ -11,7 +11,7 @@ import {
InputLabel,
Button as MuiButton,
Paper,
- Typography
+ Typography,
} from "@mui/material";
import { spacing } from "@mui/system";
import { FontAwesomeIcon } from "@fortawesome/react-fontawesome";
@@ -20,10 +20,10 @@ import { MainContext } from "../../App.js";
const Button = styled(MuiButton)(spacing);
const Wrapper = styled(Paper)`
- padding: ${props => props.theme.spacing(6)};
+ padding: ${(props) => props.theme.spacing(6)};
- ${props => props.theme.breakpoints.up("md")} {
- padding: ${props => props.theme.spacing(10)};
+ ${(props) => props.theme.breakpoints.up("md")} {
+ padding: ${(props) => props.theme.spacing(10)};
}
`;
@@ -42,9 +42,9 @@ function SignIn() {
axios
.post(process.env.REACT_APP_URL_SITE_BACKEND + "login", {
email: event.target.email.value,
- password: event.target.password.value
+ password: event.target.password.value,
})
- .then(response => {
+ .then((response) => {
console.log(response.data);
if (response.data.msg === "NotConfirmed") {
setConfirm(true);
@@ -58,7 +58,7 @@ function SignIn() {
setLogger(true);
}
})
- .catch(error => {
+ .catch((error) => {
console.log(error);
setError(true);
setErrorMsg(String(error));
diff --git a/server/src/client/app/src/pages/auth/SignUp.js b/server/src/client/app/src/pages/auth/SignUp.js
index 56d596ab..9962f36c 100755
--- a/server/src/client/app/src/pages/auth/SignUp.js
+++ b/server/src/client/app/src/pages/auth/SignUp.js
@@ -11,7 +11,7 @@ import {
InputLabel,
Button as MuiButton,
Paper,
- Typography
+ Typography,
} from "@mui/material";
import { spacing } from "@mui/system";
import axios from "axios";
@@ -19,15 +19,15 @@ import axios from "axios";
const Button = styled(MuiButton)(spacing);
const Wrapper = styled(Paper)`
- padding: ${props => props.theme.spacing(6)};
+ padding: ${(props) => props.theme.spacing(6)};
- ${props => props.theme.breakpoints.up("md")} {
- padding: ${props => props.theme.spacing(10)};
+ ${(props) => props.theme.breakpoints.up("md")} {
+ padding: ${(props) => props.theme.spacing(10)};
}
`;
const RedIcon = styled(FontAwesomeIcon)({
- color: red[500]
+ color: red[500],
});
function SignUp() {
@@ -41,10 +41,12 @@ function SignUp() {
console.log(event.target.password.value);
if (event.target.password.value.length < 8) {
setError(true);
- setErrorMessage("Password too weak. Use at least 8 characters, with numbers, digits, and special characters.");
+ setErrorMessage(
+ "Password too weak. Use at least 8 characters, with numbers, digits, and special characters.",
+ );
} else if (
/[a-zA-Z0-9]+@(?:[a-zA-Z0-9-]+\.)+[A-Za-z]+$/.test(
- event.target.email.value
+ event.target.email.value,
) !== true
) {
setError(true);
@@ -55,9 +57,9 @@ function SignUp() {
first_name: event.target.fname.value,
last_name: event.target.lname.value,
email: event.target.email.value,
- password: event.target.password.value
+ password: event.target.password.value,
})
- .then(function(response) {
+ .then(function (response) {
if (response.data.msg === "User created") {
console.log(response.data);
setRegister(true);
@@ -65,7 +67,7 @@ function SignUp() {
setDuplicateUser(true);
}
})
- .catch(function(error) {
+ .catch(function (error) {
console.log(error.data);
});
}
@@ -130,7 +132,7 @@ function SignUp() {
-
-
-
-
-
- );
+ return (
+
+
+
+
+
+
+ );
}
export default Settings;
diff --git a/server/src/client/app/src/pages/auth/authContext.js b/server/src/client/app/src/pages/auth/authContext.js
index 7a33744f..13eac350 100644
--- a/server/src/client/app/src/pages/auth/authContext.js
+++ b/server/src/client/app/src/pages/auth/authContext.js
@@ -25,7 +25,7 @@ class AuthProvider extends React.Component {
value={{
isAuth: this.state.isAuth,
login: this.login,
- logout: this.logout
+ logout: this.logout,
}}
>
{this.props.children}
diff --git a/server/src/client/app/src/pages/cover/Cover.js b/server/src/client/app/src/pages/cover/Cover.js
index 3283cec2..7d62398e 100644
--- a/server/src/client/app/src/pages/cover/Cover.js
+++ b/server/src/client/app/src/pages/cover/Cover.js
@@ -33,7 +33,7 @@ import {
Link as MuiLink,
CardMedia,
CardActionArea,
- CardActions
+ CardActions,
} from "@mui/material";
import { MainContext } from "../../App.js";
import { ContactChipFull } from "../docs/GetInvolved.js";
@@ -48,18 +48,18 @@ const CardContent = styled(MuiCardContent)`
margin-top: 10px;
&:last-child {
- padding-bottom: ${props => props.theme.spacing(8)};
+ padding-bottom: ${(props) => props.theme.spacing(8)};
}
`;
const Paragraph = styled(Typography)({
paddingBottom: "2vw",
- fontSize: "1.1em"
+ fontSize: "1.1em",
});
const ListIcon = styled(FontAwesomeIcon)({
marginRight: 10,
- fontWeight: 800
+ fontWeight: 800,
});
const OpenMLTitle = styled.div`
@@ -183,9 +183,9 @@ const CoverSubTitle = styled(Typography)`
`;
const FixedIcon = styled(FontAwesomeIcon)`
position: absolute;
- font-size: ${props => (props.sizept ? props.sizept : 20)}pt;
- left: ${props => props.l}px;
- top: ${props => props.t}px;
+ font-size: ${(props) => (props.sizept ? props.sizept : 20)}pt;
+ left: ${(props) => props.l}px;
+ top: ${(props) => props.t}px;
`;
const GreenFixedIcon = styled(FixedIcon)`
color: ${green[400]};
@@ -284,13 +284,13 @@ function IntroGraph() {
- Follows a predictive URL scheme from endpoint https://www.openml.org/api/v1/json (or /xml). E.g. get info about dataset 40996 from https://www.openml.org/api/v1/json/data/40996.
- You need to add your API key (i.e., add ?api_key=abcde12345) for POST and DELETE calls. The API key can be found in your profile on openml.org.
- Hint: use a browser plugin to pretty-print JSON responses (e.g. for Chrome, Firefox).
- Follows a predictive URL scheme from endpoint https://www.openml.org/api/v1/json (or /xml). E.g. get info about dataset 40996 from https://www.openml.org/api/v1/json/data/40996.
- You need to add your API key (i.e., add ?api_key=abcde12345) for POST and DELETE calls. The API key can be found in your profile on openml.org.
- Hint: use a browser plugin to pretty-print JSON responses (e.g. for Chrome, Firefox).
\\\r\n * \\\r\n * To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.
\\\r\n * \\\r\n * You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.
\\\r\n * \\\r\n * Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.", - "creator": [ - "Joaquin Vanschoren", - "Jan van Rijn", - "Luis Torgo", - "Bernd Bischl" - ], - "contributor": [ - "Bo Gao", - "Simon Fischer", - "Venkatesh Umaashankar", - "Michael Berthold", - "Bernd Wiswedel", - "Patrick Winter" - ], - "creation_date": "2013-01-24 00:00:00", - "input": [ - { - "name": "source_data", - "requirement": "required", - "data_type": "numeric" - }, - { - "name": "target_feature", - "requirement": "required", - "data_type": "string" - }, - { - "name": "estimation_procedure", - "requirement": "required", - "data_type": "numeric" - }, - { - "name": "cost_matrix", - "data_type": "json" - }, - { - "name": "custom_testset", - "data_type": "json" - }, - { - "name": "evaluation_measures", - "data_type": "string" - } - ] - } - } - } - } - }, - "412": { - "description": "Precondition failed. An error code and message are returned.\\n240 - Please provide task type ID.\\n241 - Unknown task type. The task type with the given id was not found in the database\\n", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/Error" - } - } - } - } + } + } + } + }, + "/flow/untag": { + "post": { + "tags": ["flow"], + "summary": "Untag a flow", + "description": "Untags a flow.", + "operationId": "Api_flow::flow_untag", + "parameters": [ + { + "name": "flow_id", + "in": "query", + "description": "Id of the flow.", + "required": true, + "schema": { + "type": "integer" + } + }, + { + "name": "tag", + "in": "query", + "description": "Tag name", + "required": true, + "schema": { + "type": "string" + } + }, + { + "name": "api_key", + "in": "query", + "description": "Api key to authenticate the user", + "required": true, + "schema": { + "type": "string" + } + } + ], + "responses": { + "200": { + "description": "The id of the untagged flow", + "content": { + "application/json": { + "schema": { + "properties": { + "flow_untag": { + "$ref": "#/components/schemas/inline_response_200_13_flow_untag" + } + }, + "type": "object" + }, + "example": { + "flow_untag": { + "id": "2" + } } + } } - }, - "/evaluationmeasure/list": { - "get": { - "tags": [ - "evaluationmeasure" - ], - "summary": "List all evaluation measures", - "description": "Returns an array with all model evaluation measures in the system.", - "operationId": "Api_evaluationmeasure::evaluationmeasure_list", - "responses": { - "200": { - "description": "A list of evaluation measures", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/EvaluationMeasureList" - }, - "example": { - "evaluation_measures": { - "measures": { - "measure": [ - "area_under_roc_curve", - "average_cost", - "binominal_test", - "build_cpu_time" - ] - } - } - } - } - } - } + }, + "412": { + "description": "Precondition failed. An error code and message are returned.\\n475 - Please give entity_id {data_id, flow_id, run_id} and tag. In order to remove a tag, please upload the entity id (either data_id, flow_id, run_id) and tag (the name of the tag).\\n476 - Entity {dataset, flow, run} not found. The provided entity_id {data_id, flow_id, run_id} does not correspond to an existing entity.\\n477 - Tag not found. The provided tag is not associated with the entity {dataset, flow, run}.\\n478 - Tag is not owned by you. The entity {dataset, flow, run} was tagged\\nby another user. Hence you cannot delete it.\\n479 - Internal error removing the tag. Please contact OpenML Team.\\n", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Error" } + } } - }, - "/estimationprocedure/list": { - "get": { - "tags": [ - "estimationprocedure" - ], - "summary": "List all estimation procedures", - "description": "Returns an array with all model performance estimation procedures in the system.", - "operationId": "Api_estimationprocedure::estimationprocedure_list", - "responses": { - "200": { - "description": "A list of estimation procedures", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/EstimationProcedureList" - }, - "example": { - "estimationprocedures": { - "estimationprocedure": [ - { - "id": "1", - "ttid": "1", - "name": "10-fold Crossvalidation", - "type": "crossvalidation", - "repeats": "1", - "folds": "10", - "stratified_sampling": "true" - }, - { - "id": "2", - "ttid": "1", - "name": "5 times 2-fold Crossvalidation", - "type": "crossvalidation", - "repeats": "5", - "folds": "2", - "stratified_sampling": "true" - } - ] - } - } - } - } + } + } + } + }, + + "/run/{id}": { + "get": { + "tags": ["run"], + "summary": "Get run description. Runs describe machine learning experiments, typically the results or running a certain model (flow) on a certain task.", + "description": "Returns information about a run. The information includes the name, information about the creator, dependencies, parameters, run instructions and more.", + "operationId": "Api_run::run", + "parameters": [ + { + "name": "id", + "in": "path", + "description": "ID of the run.", + "required": true, + "schema": { + "type": "integer" + } + } + ], + "responses": { + "200": { + "description": "A run description", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Run" + }, + "example": { + "run": { + "run_id": "100", + "uploader": "1", + "uploader_name": "Jan van Rijn", + "task_id": "28", + "task_type": "Supervised Classification", + "task_evaluation_measure": "predictive_accuracy", + "flow_id": "67", + "flow_name": "weka.BayesNet_K2(1)", + "setup_string": "weka.classifiers.bayes.BayesNet -- -D -Q weka.classifiers.bayes.net.search.local.K2 -- -P 1 -S BAYES -E weka.classifiers.bayes.net.estimate.SimpleEstimator -- -A 0.5", + "parameter_setting": [ + { + "name": "D", + "value": "true" + }, + { + "name": "Q", + "value": "weka.classifiers.bayes.net.search.local.K2" + }, + { + "name": "P", + "value": "1" + }, + { + "name": "S", + "value": "BAYES" + } + ], + "input_data": { + "dataset": { + "did": "28", + "name": "optdigits", + "url": "https:\\\\/\\\\/www.openml.org\\\\/data\\\\/download\\\\/28\\\\/dataset_28_optdigits.arff" + } }, - "412": { - "description": "Precondition failed. An error code and message are returned.\\n500 - No model performance estimation procedures available.\\n", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/Error" - } - } - } - } + "output_data": { + "file": [ + { + "did": "48838", + "file_id": "261", + "name": "description", + "url": "https:\\\\/\\\\/www.openml.org\\\\/data\\\\/download\\\\/261\\\\/weka_generated_run935374685998857626.xml" + }, + { + "did": "48839", + "file_id": "262", + "name": "predictions", + "url": "https:\\\\/\\\\/www.openml.org\\\\/data\\\\/download\\\\/262\\\\/weka_generated_predictions576954524972002741.arff" + } + ], + "evaluation": [ + { + "name": "area_under_roc_curve", + "flow_id": "4", + "value": "0.990288", + "array_data": "[0.99724,0.989212,0.992776,0.994279,0.980578,0.98649,0.99422,0.99727,0.994858,0.976143]" + }, + { + "name": "confusion_matrix", + "flow_id": "10", + "array_data": "[[544,1,0,0,7,0,1,0,0,1],[0,511,21,1,0,1,3,1,5,28],[0,7,511,1,0,1,0,3,23,11],[0,2,2,519,0,3,0,12,16,18],[0,3,0,0,528,0,4,21,6,6],[0,1,0,7,5,488,2,0,4,51],[1,7,0,0,2,0,548,0,0,0],[0,2,0,1,9,1,0,545,4,4],[1,25,2,2,3,6,2,1,503,9],[0,7,0,20,16,5,0,19,9,486]]" + }, + { + "name": "f_measure", + "flow_id": "12", + "value": "0.922723", + "array_data": "[0.989091,0.898857,0.935041,0.92431,0.927944,0.918156,0.980322,0.933219,0.895018,0.826531]" + }, + { + "name": "kappa", + "flow_id": "13", + "value": "0.913601" + } + ] + } + } } + } } - }, - "/user/list": { - "get": { - "tags": [ - "user" - ], - "summary": "List all users by user id. Only accessible to admins.", - "description": "Returns an array with all user ids and names.", - "operationId": "Api_user::username_list", - "responses": { - "200": { - "description": "A list of users", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/UserList" - }, - "example": { - "users": { - "user": [ - { - "id": "1", - "username": "janvanrijn@gmail.com" - }, - { - "id": "2", - "username": "joaquin.vanschoren@gmail.com" - } - ] - } - } - } - } - } + }, + "412": { + "description": "Precondition failed. An error code and message are returned.\\n220 - Please provide run ID. In order to view run details, please provide the run ID.\\n221 - Run not found. The run ID was invalid, run does not exist (anymore).\\n", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Error" } + } } + } } - }, - "components": { - "schemas": { - "inline_response_200_16_flow_untag": { - "properties": { - "id": { - "description": "ID of the untagged setup", - "type": "string" - } + }, + "delete": { + "tags": ["run"], + "summary": "Delete run", + "description": "Deletes a run. Upon success, it returns the ID of the deleted run.", + "operationId": "Api_run::run_delete", + "parameters": [ + { + "name": "id", + "in": "path", + "description": "Id of the run.", + "required": true, + "schema": { + "type": "integer" + } + }, + { + "name": "api_key", + "in": "query", + "description": "API key to authenticate the user", + "required": true, + "schema": { + "type": "string" + } + } + ], + "responses": { + "200": { + "description": "ID of the deleted run", + "content": { + "application/json": { + "schema": { + "properties": { + "data_delete": { + "$ref": "#/components/schemas/inline_response_200_17_data_delete" + } + }, + "type": "object" }, - "type": "object" - }, - "EvaluationMeasureList_evaluation_measures_measures": { - "properties": { - "measure": { - "description": "The evaluation measure names", - "type": "array", - "items": { - "type": "string" - } - } + "example": { + "run_delete": { + "id": "2520" + } + } + } + } + }, + "412": { + "description": "Precondition failed. An error code and message are returned.\\n390 - Please provide API key. In order to remove your content, please authenticate.\\n391 - Authentication failed. The API key was not valid. Please try to login again, or contact api administrators\\n392 - Run does not exists. The run ID could not be linked to an existing run.\\n393 - Run is not owned by you. The run was owned by another user. Hence you cannot delete it.\\n394 - Deleting run failed. Deleting the run failed. Please contact support team.\\n", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Error" + } + } + } + } + } + } + }, + "/run/reset/{id}": { + "get": { + "tags": ["run"], + "summary": "Resets a run. Causes the evaluations of the run to be recomputed.", + "description": "Removes all run evaluations. When a run is reset, the runs will automatically be evaluated as soon as they are picked up by the evaluation engine again.", + "operationId": "Api_run::run_reset", + "parameters": [ + { + "name": "id", + "in": "path", + "description": "Run ID.", + "required": true, + "schema": { + "type": "string" + } + } + ], + "responses": { + "200": { + "description": "Id of the evaluated run", + "content": { + "application/json": { + "schema": { + "properties": { + "run_reset": { + "$ref": "#/components/schemas/inline_response_200_21_upload_flow" + } + }, + "type": "object" }, - "type": "object" - }, - "inline_response_200_10_flow_exists": { - "properties": { - "id": { - "description": "The id of the flow with the given name and (external) version", - "type": "string" - }, - "exists": { - "description": "true or false", - "type": "string" - } + "example": { + "run_reset": { + "id": "2520" + } + } + } + } + }, + "412": { + "description": "Precondition failed. An error code and message are returned.\\n412 - Run does not exist\\n413 - Run is not owned by you\\n394 - Resetting run failed\\n", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Error" + } + } + } + } + } + } + }, + "/run/list/{filters}": { + "get": { + "tags": ["run"], + "summary": "List and filter runs", + "description": "List runs, filtered by a range of properties. Any number of properties can be combined by listing them one after the other in the form '/run/list/{filter}/{value}/{filter}/{value}/...' Returns an array with all runs that match the constraints. A maximum of 10,000 results are returned, an error is returned if the result set is bigger. Use pagination (via limit and offset filters), or limit the results to certain tasks, flows, setups, or uploaders.", + "operationId": "Api_run::run_list", + "parameters": [ + { + "name": "filters", + "in": "path", + "description": "Any combination of these filters\r\n /tag/{tag} - return only runs tagged with the given tag.\r\n /run/{ids} - return only specific runs, specified as a comma-separated list of run IDs, e.g. ''1,2,3''\r\n /task/{ids} - return only runs on specific tasks, specified as a comma-separated list of task IDs, e.g. ''1,2,3''\r\n /flow/{ids} - return only runs on specific flows, specified as a comma-separated list of flow IDs, e.g. ''1,2,3''\r\n /setup/{ids} - return only runs with specific setups, specified as a comma-separated list of setup IDs, e.g. ''1,2,3''\r\n /uploader/{ids} - return only runs uploaded by specific users, specified as a comma-separated list of user IDs, e.g. ''1,2,3''\r\n /limit/{limit}/offset/{offset} - returns only {limit} results starting from result number {offset}. Useful for paginating results. With /limit/5/offset/10, results 11..15 will be returned. Both limit and offset need to be specified.\r\n ", + "required": true, + "schema": { + "type": "string" + } + } + ], + "responses": { + "200": { + "description": "A list of runs descriptions", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/RunList" }, - "type": "object" - }, - "Data_data_set_description": { - "properties": { - "default_target_attribute": { - "description": "For tabular data, the name of the column that is typically used as the target attribute for that data set", - "type": "string" - }, - "upload_date": { - "description": "The datetime that the dataset was uploaded, format yyyy-MM-dd HH:mm:ss", - "type": "string" - }, - "version_label": { - "description": "The version of the dataset, as defined by the uploader, for reference. Can be any format as long as it is unique.", - "type": "string" - }, - "description": { - "description": "Wiki description of the dataset, in (Git flavoured) markdown format", - "type": "string" - }, - "format": { - "description": "Data format, for instance ARFF", - "type": "string" - }, - "url": { - "description": "The URL where the data can be downloaded", - "type": "string" - }, - "tag": { - "description": "Tags added by OpenML users. Includes study tags in the form `study_1`", - "type": "array", - "items": { - "type": "string" - } - }, - "visibility": { - "description": "Who can see the dataset. For instance `public`.", - "type": "string" - }, - "md5_checksum": { - "description": "Checksum to verify downloads of the dataset", - "type": "string" - }, - "version": { - "description": "The version of the dataset, set by OpenML. A positive integer", - "type": "string" - }, - "status": { - "description": "active, in_preparation, or deactivated", - "type": "string" - }, - "file_id": { - "description": "The ID of the dataset file stored on the OpenML server", - "type": "string" - }, - "licence": { - "description": "The licence granted for using the dataset, for instance Public or CC-BY", - "type": "string" - }, - "original_data_url": { - "description": "The URL where the original data is hosted.", - "type": "string" - }, - "id": { - "description": "ID of the dataset, a positive integer", - "type": "string" - }, - "name": { - "description": "The name of the dataset", - "type": "string" - } + "example": { + "runs": { + "run": [ + { + "upload_time": "2014-04-06 23:30:40", + "task_id": "28", + "run_id": "100", + "error_message": [], + "setup_id": "12", + "uploader": "1", + "flow_id": "67" + }, + { + "upload_time": "2014-04-06 23:30:40", + "task_id": "48", + "run_id": "101", + "error_message": [], + "setup_id": "6", + "uploader": "1", + "flow_id": "61" + }, + { + "upload_time": "2014-04-06 23:30:40", + "task_id": "41", + "run_id": "102", + "error_message": [], + "setup_id": "3", + "uploader": "1", + "flow_id": "58" + } + ] + } + } + } + } + }, + "412": { + "description": "Precondition failed. An error code and message are returned.\\n510 - Please provide at least task, flow or setup, uploader or run, to filter results, or limit the number of responses. The number of runs is huge. Please limit the result space.\\n511 - Input not safe. The input parameters (task_id, setup_id, flow_id, run_id, uploader_id) did not meet the constraints (comma separated list of integers).\\n512 - There where no results. Check whether there are runs under the given constraint.\\n513 - Too many results. Given the constraints, there were still too many results. Please add filters to narrow down the list.\\n514 - Illegal filter specified.\\n515 - Offset specified without limit.\\n516 - Requested result limit too high.\\n", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Error" + } + } + } + } + } + } + }, + "/run/trace/{id}": { + "get": { + "tags": ["run"], + "summary": "Get run trace, containing all hyperparameter settings tried while tuning the model, and their evaluations.", + "description": "Returns the optimization trace of run. The trace contains every setup tried, its evaluation, and whether it was selected.", + "operationId": "Api_run::run_trace", + "parameters": [ + { + "name": "id", + "in": "path", + "description": "ID of the run.", + "required": true, + "schema": { + "type": "integer" + } + } + ], + "responses": { + "200": { + "description": "A run trace description", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/RunTrace" }, - "type": "object" - }, - "DataList_data_dataset": { - "properties": { - "did": { - "description": "The dataset ID", - "type": "string" - }, - "status": { - "description": "The dataset status, either in_preparation, active, or deactivated", - "type": "string" - }, - "quality": { - "type": "array", - "items": { - "$ref": "#/components/schemas/DataList_data_quality" - } - }, - "name": { - "description": "The dataset name", - "type": "string" - }, - "format": { - "description": "The data format of the dataset, e.g. ARFF", - "type": "string" - } + "example": { + "trace": { + "run_id": "573055", + "trace_iteration": { + "repeat": "0", + "fold": "0", + "iteration": "1", + "setup_string": { + "parameter_minNumObj": "1", + "parameter_confidenceFactor": "0.25" + }, + "evaluation": "94.074074", + "selected": "true" + } + } + } + } + } + }, + "412": { + "description": "Precondition failed. An error code and message are returned.\\n570 - No successful trace associated with this run\\n", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Error" + } + } + } + } + } + }, + "post": { + "tags": ["run"], + "summary": "Upload run trace", + "description": "Uploads a run trace. Upon success, it returns the run id.", + "operationId": "Api_run::run_trace_upload", + "parameters": [ + { + "name": "id", + "in": "path", + "description": "ID of the run.", + "required": true, + "schema": { + "type": "integer" + } + }, + { + "name": "description", + "in": "query", + "description": "An XML file describing the trace. Also see the [XSD schema](https://www.openml.org/api/v1/xsd/openml.run.trace) and an [XML example](https://www.openml.org/api/v1/xml_example/run.trace).", + "required": true, + "schema": { + "type": "file" + } + }, + { + "name": "api_key", + "in": "query", + "description": "Api key to authenticate the user", + "required": true, + "schema": { + "type": "string" + } + } + ], + "responses": { + "200": { + "description": "Id of the run with the trace", + "content": { + "application/json": { + "schema": { + "properties": { + "upload_flow": { + "$ref": "#/components/schemas/inline_response_200_23_upload_flow" + } + }, + "type": "object" }, - "type": "object" - }, - "Task_task_description_estimation_procedure": { - "properties": { - "parameter": { - "type": "array", - "items": { - "$ref": "#/components/schemas/Task_task_description_estimation_procedure_parameter" - } - }, - "type": { - "description": "The type of procedure, e.g. crossvalidation", - "type": "string" - }, - "data_splits_url": { - "description": "The url where the data splits can be downloaded", - "type": "string" - } + "example": { + "run_trace": { + "id": "2520" + } + } + } + } + }, + "412": { + "description": "Precondition failed. An error code and message are returned.\\n561 - Problem with uploaded trace file.\\n562 - Problem validating xml trace file.\\n563 - Problem loading xml trace file.\\n", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Error" + } + } + } + } + } + } + }, + "/run": { + "post": { + "tags": ["run"], + "summary": "Upload run", + "description": "Uploads a run. Upon success, it returns the run id.", + "operationId": "Api_run::run_upload", + "parameters": [ + { + "name": "description", + "in": "query", + "description": "An XML file describing the dataset. Only name, description, and data format are required. Also see the [XSD schema](https://www.openml.org/api/v1/xsd/openml.run.upload) and an [XML example](https://www.openml.org/api/v1/xml_example/run).", + "required": true, + "schema": { + "type": "file" + } + }, + { + "name": "predictions", + "in": "query", + "description": "The predictions generated by the run", + "required": true, + "schema": { + "type": "file" + } + }, + { + "name": "model_readable", + "in": "query", + "description": "The human-readable model generated by the run", + "required": false, + "schema": { + "type": "file" + } + }, + { + "name": "model_serialized", + "in": "query", + "description": "The serialized model generated by the run", + "required": false, + "schema": { + "type": "file" + } + }, + { + "name": "api_key", + "in": "query", + "description": "Api key to authenticate the user", + "required": true, + "schema": { + "type": "string" + } + } + ], + "responses": { + "200": { + "description": "Id of the uploaded run", + "content": { + "application/json": { + "schema": { + "properties": { + "upload_flow": { + "$ref": "#/components/schemas/inline_response_200_18_upload_flow" + } + }, + "type": "object" }, - "type": "object" - }, - "DataList_data_quality": { - "properties": { - "name": { - "description": "The name of the property", - "type": "string" - }, - "value": { - "description": "The value of the property", - "type": "string" - } + "example": { + "upload_run": { + "id": "2520" + } + } + } + } + }, + "412": { + "description": "Precondition failed. An error code and message are returned.\\n201 - Authentication failed. The API key was not valid. Please try to login again, or contact api administrators.\\n202 - Please provide run XML.\\n203 - Could not validate run xml by XSD. Please double check that the xml is valid.\\n204 - Unknown task. The task with the given ID was not found in the database.\\n205 - Unknown flow. The flow with the given ID was not found in the database.\\n206 - Invalid number of files. The number of uploaded files did not match the number of files expected for the task type\\n207 - File upload failed. One of the files uploaded has a problem.\\n208 - Error inserting setup record. Please contact api administrators\\n210 - Unable to store run. Please contact api administrators.\\n211 - Dataset not in database. One of the datasets of the task was not included in database, please contact api administrators.\\n212 - Unable to store file. Please contact api administrators.\\n213 - Parameter in run xml unknown. One of the parameters provided in the run xml is not registered as parameter for the flow nor its components.\\n214 - Unable to store input setting. Please contact API support team.\\n215 - Unable to evaluate predictions. Please contact API support team.\\n216 - Error thrown by Java Application. Additional information field is provided.\\n217 - Error processing output data. Unknown or inconsistent evaluation measure. One of the provided evaluation measures could not be matched with a record in the math_function or flow table.\\n218 - Wrong flow associated with run. The flow implements a math_function, which is unable to generate predictions. Please select another flow.\\n219 - Error reading the XML document. The XML description file could not be verified.\\n", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Error" + } + } + } + } + } + } + }, + "/run/evaluate": { + "post": { + "tags": ["run"], + "summary": "Uploads a run evaluation", + "description": "Uploads a run evaluation. When successful, it returns the run id.", + "operationId": "Api_run::run_evaluate", + "parameters": [ + { + "name": "description", + "in": "query", + "description": "An XML file describing the run evaluation.Also see the [XSD schema](https://www.openml.org/api/v1/xsd/openml.run.evaluate) and an [XML example](https://www.openml.org/api/v1/xml_example/run.evaluate).", + "required": true, + "schema": { + "type": "file" + } + }, + { + "name": "api_key", + "in": "query", + "description": "Api key to authenticate the user", + "required": true, + "schema": { + "type": "string" + } + } + ], + "responses": { + "200": { + "description": "Id of the evaluated run", + "content": { + "application/json": { + "schema": { + "properties": { + "upload_flow": { + "$ref": "#/components/schemas/inline_response_200_21_upload_flow" + } + }, + "type": "object" }, - "type": "object" - }, - "FlowList_flows_flow": { - "properties": { - "full_name": { - "description": "The full flow name (name + internal version number)", - "type": "string" - }, - "external_version": { - "description": "The external flow version", - "type": "string" - }, - "version": { - "description": "The internal flow version", - "type": "string" - }, - "uploader": { - "description": "The ID of the person who uploaded the flow", - "type": "string" - }, - "id": { - "description": "The flow ID", - "type": "string" - }, - "name": { - "description": "The flow name", - "type": "string" - } + "example": { + "run_evaluate": { + "id": "2520" + } + } + } + } + }, + "412": { + "description": "Precondition failed. An error code and message are returned.\\n422 - Upload problem description XML\\n423 - Problem validating uploaded description file\\n424 - Problem opening description xml\\n", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Error" + } + } + } + } + } + } + }, + "/run/tag": { + "post": { + "tags": ["run"], + "summary": "Tag a run", + "description": "Tags a run.", + "operationId": "Api_run::run_tag", + "parameters": [ + { + "name": "run_id", + "in": "query", + "description": "Id of the run.", + "required": true, + "schema": { + "type": "integer" + } + }, + { + "name": "tag", + "in": "query", + "description": "Tag name", + "required": true, + "schema": { + "type": "string" + } + }, + { + "name": "api_key", + "in": "query", + "description": "Api key to authenticate the user", + "required": true, + "schema": { + "type": "string" + } + } + ], + "responses": { + "200": { + "description": "The id of the tagged run", + "content": { + "application/json": { + "schema": { + "properties": { + "run_tag": { + "$ref": "#/components/schemas/inline_response_200_19_run_tag" + } + }, + "type": "object" }, - "type": "object" - }, - "Run_run_description_input_data_dataset": { - "properties": { - "did": { - "description": "The id of the dataset", - "type": "string" - }, - "url": { - "description": "The download url of the dataset", - "type": "string" - }, - "name": { - "description": "The name of the dataset", - "type": "string" - } + "example": { + "run_tag": { + "id": "2" + } + } + } + } + }, + "412": { + "description": "Precondition failed. An error code and message are returned.\\n470 - In order to add a tag, please upload the entity id (either data_id, flow_id, run_id) and tag (the name of the tag).\\n471 - Entity not found. The provided entity_id {data_id, flow_id, run_id} does not correspond to an existing entity.\\n472 - Entity already tagged by this tag. The entity {dataset, flow, run} already had this tag.\\n473 - Something went wrong inserting the tag. Please contact OpenML Team.\\n474 - Internal error tagging the entity. Please contact OpenML Team.\\n", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Error" + } + } + } + } + } + } + }, + "/run/untag": { + "post": { + "tags": ["run"], + "summary": "Untag a run", + "description": "Untags a run.", + "operationId": "Api_run::run_untag", + "parameters": [ + { + "name": "run_id", + "in": "query", + "description": "Id of the run.", + "required": true, + "schema": { + "type": "integer" + } + }, + { + "name": "tag", + "in": "query", + "description": "Tag name", + "required": true, + "schema": { + "type": "string" + } + }, + { + "name": "api_key", + "in": "query", + "description": "Api key to authenticate the user", + "required": true, + "schema": { + "type": "string" + } + } + ], + "responses": { + "200": { + "description": "The id of the untagged run", + "content": { + "application/json": { + "schema": { + "properties": { + "run_untag": { + "$ref": "#/components/schemas/inline_response_200_20_run_untag" + } + }, + "type": "object" }, - "type": "object" - }, - "EvaluationList_evaluations": { - "properties": { - "evaluation": { - "type": "array", - "items": { - "$ref": "#/components/schemas/EvaluationList_evaluations_evaluation" - } - } + "example": { + "run_untag": { + "id": "2" + } + } + } + } + }, + "412": { + "description": "Precondition failed. An error code and message are returned.\\n475 - Please give entity_id {data_id, flow_id, run_id} and tag. In order to remove a tag, please upload the entity id (either data_id, flow_id, run_id) and tag (the name of the tag).\\n476 - Entity {dataset, flow, run} not found. The provided entity_id {data_id, flow_id, run_id} does not correspond to an existing entity.\\n477 - Tag not found. The provided tag is not associated with the entity {dataset, flow, run}.\\n478 - Tag is not owned by you. The entity {dataset, flow, run} was tagged by another user. Hence you cannot delete it.\\n479 - Internal error removing the tag. Please contact OpenML Team.\\n", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Error" + } + } + } + } + } + } + }, + "/evaluation/list/{filters}": { + "get": { + "tags": ["evaluation"], + "summary": "List and filter run evaluations. Useful for retrieving model evaluations across many runs.", + "description": "List evaluations, filtered by a range of properties. Any number of properties can be combined by listing them one after the other in the form '/evaluation/list/{filter}/{value}/{filter}/{value}/...' Returns an array with all evaluations that match the constraints. A maximum of 10,000 results are returned, an error is returned if the result set is bigger. Use pagination (via limit and offset filters), or limit the results to certain tasks, flows, setups, uploaders or runs.", + "operationId": "Api_evaluation::evaluation_list", + "parameters": [ + { + "name": "filters", + "in": "path", + "description": "Any combination of these filters\r\n /function/{name} - name of the evaluation measure, e.g. area_under_auc or predictive_accuracy. See the OpenML website for the complete list of measures.\r\n /tag/{tag} - returns only evaluations of runs tagged with the given tag.\r\n /run/{ids} - return only evaluations for specific runs, specified as a comma-separated list of run IDs, e.g. ''1,2,3''\r\n /task/{ids} - return only evaluations for specific tasks, specified as a comma-separated list of task IDs, e.g. ''1,2,3''\r\n /flow/{ids} - return only evaluations for specific flows, specified as a comma-separated list of flow IDs, e.g. ''1,2,3''\r\n /setup/{ids} - return only evaluations for specific setups, specified as a comma-separated list of setup IDs, e.g. ''1,2,3''\r\n /uploader/{ids} - return only evaluations uploaded by specific users, specified as a comma-separated list of user IDs, e.g. ''1,2,3''\r\n /limit/{limit}/offset/{offset} - returns only {limit} results starting from result number {offset}. Useful for paginating results. With /limit/5/offset/10, results 11..15 will be returned. Both limit and offset need to be specified.\r\n /per_fold/{true,false} - whether or not to return crossvalidation scores per fold. Defaults to 'false'. Setting it to 'true' leads to large numbers of results, use only for very specific sets of runs.\r\n /sort_order/{asc,desc} - sorts the results by the evaluation value, according to the selected evaluation measure (function)\r\n ", + "required": true, + "schema": { + "type": "string" + } + } + ], + "responses": { + "200": { + "description": "A list of evaluations descriptions", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/EvaluationList" }, - "type": "object" - }, - "inline_response_200_14_study_delete": { - "properties": { - "id": { - "description": "ID of the deleted setup, a positive integer", - "type": "string" - } + "example": { + "evaluations": { + "evaluation": [ + { + "function": "area_under_roc_curve", + "upload_time": "2014-04-06 23:30:40", + "task_id": "68", + "run_id": "1", + "array_data": "[0,0.99113,0.898048,0.874862,0.791282,0.807343,0.820674]", + "value": "0.839359", + "uploader": "1", + "flow_id": "61" + }, + { + "function": "f_measure", + "upload_time": "2014-04-06 23:30:40", + "task_id": "68", + "run_id": "1", + "array_data": "[0,0,0.711934,0.735714,0.601363,0.435678,0.430913]", + "value": "0.600026", + "uploader": "1", + "flow_id": "61" + }, + { + "function": "predictive_accuracy", + "upload_time": "2014-04-06 23:30:40", + "task_id": "68", + "run_id": "1", + "array_data": [], + "value": "0.614634", + "uploader": "1", + "flow_id": "61" + } + ] + } + } + } + } + }, + "412": { + "description": "Precondition failed. An error code and message are returned.\\n540 - Please provide at least task, flow or setup, uploader or run, to\\nfilter results, or limit the number of responses.\\n541 - The input parameters (task_id, setup_id, flow_id, run_id, uploader_id) did not meet the constraints (comma separated list of integers).\\n542 - There where no results. Check whether there are runs under the given constraint.\\n543 - Too many results. Given the constraints, there were still too many results. Please add filters to narrow down the list.\\n544 - Illegal filter specified.\\n545 - Offset specified without limit.\\n546 - Requested result limit too high.\\n547 - Per fold can only be set to value 'true' or 'false'.\\n548 - Per fold queries are experimental and require a fair amount of filters on resulting run records to keep the query fast (use, e.g., flow, setup, task and uploader filter)\\n", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Error" + } + } + } + } + } + } + }, + "/evaluation/request/{evaluation_engine_id}/{order}": { + "get": { + "tags": ["evaluation"], + "summary": "Get an unevaluated run. Only for managing run evaluation scripts.", + "description": "This call is for people running their own evaluation engines. It returns the details of a run that is not yet evaluated by the given evaluation engine. It doesn't evaluate the run, it just returns the run info.", + "operationId": "Api_evaluation::evaluation_request", + "parameters": [ + { + "name": "evaluation_engine_id", + "in": "path", + "description": "The ID of the evaluation engine. You get this ID when you register a new evaluation engine with OpenML. The ID of the main evaluation engine is 1.", + "required": true, + "schema": { + "type": "string" + } + }, + { + "name": "order", + "in": "path", + "description": "When there are multiple runs still to evaluate, this defines which one to return. Options are 'normal' - the oldest run, 'reverse' - the newest run, or 'random' - a random run.", + "required": true, + "schema": { + "type": "string" + } + } + ], + "responses": { + "200": { + "description": "A list of evaluations descriptions", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/EvaluationRequest" }, - "type": "object" - }, - "DataUnprocessed": { - "properties": { - "data_unprocessed": { - "$ref": "#/components/schemas/DataUnprocessed_data_unprocessed" - } + "example": { + "evaluation_request": { + "run": [ + { + "setup_id": "68799271", + "upload_time": "2018-04-03 21:05:38", + "uploader": "1935", + "task_id": "3021", + "run_id": "8943712" + } + ] + } + } + } + } + }, + "412": { + "description": "Precondition failed. An error code and message are returned.\\n100 - Function not valid.\\n545 - No unevaluated runs according to the criteria.\\n546 - Illegal filter.\\n", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Error" + } + } + } + } + } + } + }, + "/study/{id}": { + "get": { + "tags": ["study"], + "summary": "Get study description by study id or alias. Studies are collections of OpenML tasks and/or runs, also used for benchmarks.", + "description": "Returns information about the study with the given id or alias.", + "operationId": "Api_study::study_get", + "parameters": [ + { + "name": "id", + "in": "path", + "description": "ID or alias of the study.", + "required": true, + "schema": { + "type": "string" + } + } + ], + "responses": { + "200": { + "description": "A study description", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Study" }, - "type": "object" - }, - "DataUnprocessed_data_unprocessed_dataset": { - "properties": { - "did": { - "description": "ID of the dataset a positive integer", - "type": "string" - }, - "status": { - "description": "Status of the dataset", - "type": "string" - }, - "version": { - "description": "Version of the dataset, a positive integer", - "type": "string" - }, - "name": { - "description": "The name of the dataset", - "type": "string" + "example": { + "study": { + "id": "99", + "main_entity_type": "task", + "name": "CC18 benchmark suite", + "description": "CC18 benchmark suite", + "creation_date": "2019-02-16T17:35:58", + "creator": "1159", + "data": { + "data_id": ["1", "2", "3"] }, - "format": { - "description": "The dataset format, e.g. ARFF", - "type": "string" + "tasks": { + "task_id": ["1", "2", "3"] } + } + } + } + } + }, + "412": { + "description": "Precondition failed. An error code and message are returned.\\n601 - Unknown study. The study with the given id or alias was not found in the database\\n", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Error" + } + } + } + } + } + }, + "delete": { + "tags": ["study"], + "summary": "Delete study", + "description": "Deletes a study. Upon success, it returns the ID of the deleted study.", + "operationId": "Api_study::study_delete", + "parameters": [ + { + "name": "id", + "in": "path", + "description": "Id of the study.", + "required": true, + "schema": { + "type": "integer" + } + }, + { + "name": "api_key", + "in": "query", + "description": "Api key to authenticate the user", + "required": true, + "schema": { + "type": "string" + } + } + ], + "responses": { + "200": { + "description": "ID of the deleted study", + "content": { + "application/json": { + "schema": { + "properties": { + "study_delete": { + "$ref": "#/components/schemas/inline_response_200_24_study_delete" + } + }, + "type": "object" }, - "type": "object" - }, - "EstimationProcedureList_estimationprocedures": { - "properties": { - "estimationprocedure": { - "type": "array", - "items": { - "$ref": "#/components/schemas/EstimationProcedureList_estimationprocedures_estimationprocedure" - } - } + "example": { + "study_delete": { + "id": "1" + } + } + } + } + }, + "412": { + "description": "Precondition failed. An error code and message are returned.\\n591 - Please provide API key. In order to remove your content, please authenticate.\\n592 - Study does not exists. The study ID could not be linked to an existing study.\\n593 - Study deletion failed. Please try again later.\\n", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Error" + } + } + } + } + } + } + }, + "/study/list/{filters}": { + "get": { + "tags": ["study"], + "summary": "List all studies (collections of items)", + "description": "List studies, optionally filtered by a range of properties. Any number of properties can be combined by listing them one after the other in the form '/study/list/{filter}/{value}/{filter}/{value}/...' Returns an array with all studies that match the constraints.", + "operationId": "Api_study::study_list", + "parameters": [ + { + "name": "filters", + "in": "path", + "description": "Any combination of these filters\r\n /main_entity_type/{type} - only return studies collecting entities of a given type (e.g. 'task' or 'run').\r\n /uploader/{ids} - return only evaluations uploaded by specific users, specified as a comma-separated list of user IDs, e.g. ''1,2,3''\r\n /limit/{limit}/offset/{offset} - returns only {limit} results starting from result number {offset}. Useful for paginating results. With /limit/5/offset/10, results 11..15 will be returned. Both limit and offset need to be specified.\r\n ", + "required": true, + "schema": { + "type": "string" + } + } + ], + "responses": { + "200": { + "description": "A list of studies", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/StudyList" }, - "type": "object" - }, - "TaskTypeList": { - "properties": { - "task_types": { - "$ref": "#/components/schemas/TaskTypeList_task_types" - } + "example": { + "study_list": { + "study": [ + { + "id": "1", + "alias": "Study_1", + "name": "A large-scale comparison of classification algorithms", + "creation_date": "2017-07-20 15:51:20", + "creator": "2" + }, + { + "id": "2", + "alias": "Study_2", + "name": "Fast Algorithm Selection using Learning Curves", + "creation_date": "2017-07-20 15:51:20", + "creator": "2" + } + ] + } + } + } + } + }, + "412": { + "description": "Precondition failed. An error code and message are returned.\\n", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Error" + } + } + } + } + } + } + }, + "/study": { + "post": { + "tags": ["study"], + "summary": "Create new study", + "description": "Creates a new study. Upon success, it returns the study id.", + "operationId": "Api_study::study_create", + "parameters": [ + { + "name": "description", + "in": "query", + "description": "An XML file describing the study. Also see the [XSD schema](https://www.openml.org/api/v1/xsd/openml.study.upload) and an [XML example](https://www.openml.org/api/v1/xml_example/study).", + "required": true, + "schema": { + "type": "file" + } + }, + { + "name": "api_key", + "in": "query", + "description": "Api key to authenticate the user", + "required": true, + "schema": { + "type": "string" + } + } + ], + "responses": { + "200": { + "description": "Id of the uploaded study", + "content": { + "application/json": { + "schema": { + "properties": { + "upload_study": { + "$ref": "#/components/schemas/inline_response_200_25_upload_study" + } + }, + "type": "object" }, - "type": "object" - }, - "Run_run_description_output_data_evaluation": { - "properties": { - "array_data": { - "description": "For composite evaluation measures (e.g. per-class measures, confusion matrix), a string (JSON) representation of the evaluation.", - "type": "string" - }, - "name": { - "description": "The name of the evaluation measure", - "type": "string" - }, - "value": { - "description": "The result of the evaluation", - "type": "string" - }, - "flow_id": { - "description": "The id of the code used to compute this evaluation method", - "type": "string" - } + "example": { + "upload_study": { + "id": "4328" + } + } + } + } + }, + "412": { + "description": "Precondition failed. An error code and message are returned.\\n1031 - Description file not present. Please upload the study description.\\n1032 - Problem validating uploaded description file. The XML description format does not meet the standards. See the XSD schema.\\n1033 - Illegal main entity type. Currently only collections of tasks and can be created.\\n1034 - Linked entities are not of the correct type fot this study.\\n1035 - Benchmark suites can only be linked to run studies.\\n1036 - Referred benchmark suite cannot be found.\\n1037 - Referred benchmark suite should be a task collection.\\n1038 - Study alias is not unique.\\n1039 - Dataset insertion problem. Please contact the administrators.\\n", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Error" + } + } + } + } + } + } + }, + "/study/{id}/attach": { + "post": { + "tags": ["study"], + "summary": "Attach a new entity to a study", + "description": "Attach a new entity to an exising study. Upon success, it returns the study id, type, and linked entities.", + "operationId": "Api_study::study_attach", + "parameters": [ + { + "name": "id", + "in": "path", + "description": "Id of the study. Supplied in the URL path.", + "required": true, + "schema": { + "type": "integer" + } + }, + { + "name": "ids", + "in": "query", + "description": "Comma-separated list of entity IDs to be attached to the study. For instance, if this is a run study, the list of run IDs that need to be added (attached) to the study. Must be supplied as a POST variable.", + "required": true, + "schema": { + "type": "string" + } + }, + { + "name": "api_key", + "in": "query", + "description": "Api key to authenticate the user", + "required": true, + "schema": { + "type": "string" + } + } + ], + "responses": { + "200": { + "description": "Properties of the updated study", + "content": { + "application/json": { + "schema": { + "properties": { + "study_attach": { + "$ref": "#/components/schemas/inline_response_200_26_study_attach" + } + }, + "type": "object" }, - "type": "object" - }, - "TaskList_task_quality": { - "properties": { - "name": { - "description": "The name of the quality", - "type": "string" - }, - "value": { - "description": "The value of the quality", - "type": "string" - } + "example": { + "study_attach": { + "id": "1", + "main_entity_type": "task", + "linked_entities": "5" + } + } + } + } + }, + "412": { + "description": "Precondition failed. An error code and message are returned.\\n1041 - Could not find study. Check the study ID in your request.\\n1042 - Cannnot attach entities to legacy studies.\\n1043 - Please provide POST field 'ids'.\\n1044 - Please ensure that the 'ids' in the POST field is a list of natural numbers.\\n1045 - Could not attach entities to the study. It appears as if the entity does not exist.\\n", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Error" + } + } + } + } + } + } + }, + "/study/{id}/detach": { + "post": { + "tags": ["study"], + "summary": "Detach an entity from a study", + "description": "Detach an entity from an exising study. Upon success, it returns the study id, type, and linked entities.", + "operationId": "Api_study::study_detach", + "parameters": [ + { + "name": "id", + "in": "path", + "description": "Id of the study.", + "required": true, + "schema": { + "type": "integer" + } + }, + { + "name": "ids", + "in": "query", + "description": "Comma-separated list of entity IDs to be detached from the study. For instance, if this is a run study, the list of run IDs that need to be removed (detached) from the study. Must be supplied as a POST variable.", + "required": true, + "schema": { + "type": "string" + } + }, + { + "name": "api_key", + "in": "query", + "description": "Api key to authenticate the user", + "required": true, + "schema": { + "type": "string" + } + } + ], + "responses": { + "200": { + "description": "Properties of the updated study", + "content": { + "application/json": { + "schema": { + "properties": { + "upload_study": { + "$ref": "#/components/schemas/inline_response_200_26_study_attach" + } + }, + "type": "object" }, - "type": "object" - }, - "Task_task_description": { - "properties": { - "input": { - "type": "array", - "items": { - "$ref": "#/components/schemas/Task_task_description_input" - } - }, - "task_type": { - "description": "The type of the task, e.g. Supervised Classification", - "type": "string" - }, - "tag": { - "description": "Tags added by OpenML uers. Includes study tags in the form 'study_1'", - "type": "array", - "items": { - "type": "string" - } - }, - "task_id": { - "description": "ID of the task, a positive integer", - "type": "string" - }, - "output": { - "type": "array", - "items": { - "$ref": "#/components/schemas/Task_task_description_output" - } - } + "example": { + "study_detach": { + "id": "1", + "main_entity_type": "task", + "linked_entities": "5" + } + } + } + } + }, + "412": { + "description": "Precondition failed. An error code and message are returned.\\n1041 - Could not find study. Check the study ID in your request.\\n1042 - Cannot attach entities to legacy studies.\\n1043 - Please provide POST field 'ids'.\\n1044 - Please ensure that the 'ids' in the POST field is a list of natural numbers.\\n1046 - Could not detach entities from the study. It appears as if the entity does not exist. \\n", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Error" + } + } + } + } + } + } + }, + "/tasktype/list": { + "get": { + "tags": ["tasktype"], + "summary": "List all task types", + "description": "Returns an array with all task types in the system.", + "responses": { + "default": { + "description": "Unexpected error", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Error" + } + } + } + }, + "200": { + "description": "A task description", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/TaskTypeList" }, - "type": "object" - }, - "inline_response_200_9_upload_flow": { - "properties": { - "id": { - "description": "ID of the uploaded flow, a positive integer", - "type": "string" - } + "example": { + "task_types": { + "task_type": [ + { + "id": "1", + "name": "Supervised Classification", + "description": "In supervised classification, you are given ...", + "creator": "Joaquin Vanschoren, Jan van Rijn, Luis Torgo, Bernd Bischl" + }, + { + "id": "2", + "name": "Supervised Regression", + "description": "Given a dataset with a numeric target ...", + "creator": "Joaquin Vanschoren, Jan van Rijn, Luis Torgo, Bernd Bischl" + } + ] + } + } + } + } + } + } + } + }, + "/setup/{id}": { + "get": { + "tags": ["setup"], + "summary": "Get a hyperparameter setup. Used only to keep track of which hyperparameter settings are use across runs.", + "description": "Returns information about a setup. The information includes the list of hyperparameters, with name, value, and default value.", + "operationId": "Api_setup::setup", + "parameters": [ + { + "name": "id", + "in": "path", + "description": "ID of the hyperparameter setup (configuration). These IDs are stated in run descriptions.", + "required": true, + "schema": { + "type": "integer" + } + } + ], + "responses": { + "200": { + "description": "A setup description", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Setup" }, - "type": "object" - }, - "Flow_flow_description": { - "properties": { - "upload_date": { - "description": "The datetime that the flow was uploaded, format yyyy-MM-dd HH:mm:ss", - "type": "string" - }, - "description": { - "description": "Wiki description of the flow, in (Git flavoured) markdown format", - "type": "string" - }, - "language": { - "description": "The programming language the flow is written in.", - "type": "string" - }, - "parameter": { - "type": "array", - "items": { - "$ref": "#/components/schemas/Flow_flow_description_parameter" - } - }, - "tag": { - "description": "Tags added by OpenML users. Includes study tags in the form `study_1`", - "type": "array", - "items": { - "type": "string" - } - }, - "version": { - "description": "The version of the flow, set by OpenML. A positive integer", - "type": "string" - }, - "version_label": { - "description": "The version of the flow, as defined by the uploader, for reference. Can be any format as long as it is unique.", - "type": "string" - }, - "dependencies": { - "description": "The libraries that this flow depends on, and their version numbers.", - "type": "string" - }, - "uploader": { - "description": "The uploader of the flow", - "type": "string" - }, - "id": { - "description": "ID of the flow, a positive integer", - "type": "string" - }, - "name": { - "description": "The name of the flow", - "type": "string" - } - }, - "type": "object" - }, - "Task": { - "properties": { - "task_description": { - "$ref": "#/components/schemas/Task_task_description" - } - }, - "type": "object" - }, - "Setup": { - "properties": { - "setup_parameters": { - "$ref": "#/components/schemas/Setup_setup_parameters" - } - }, - "type": "object" - }, - "FlowList_flows": { - "properties": { - "flow": { - "type": "array", - "items": { - "$ref": "#/components/schemas/FlowList_flows_flow" - } - } - }, - "type": "object" - }, - "RunTrace": { - "properties": { - "trace": { - "$ref": "#/components/schemas/RunTrace_trace" - } - }, - "type": "object" - }, - "Task_task_description_predictions_feature": { - "properties": { - "type": { - "description": "The type of the prediction feature, e.g. integer", - "type": "string" - }, - "name": { - "description": "The name of the prediction feature, e.g. row_id", - "type": "string" - } - }, - "type": "object" - }, - "inline_response_200_24_study_delete": { - "properties": { - "id": { - "description": "ID of the deleted study, a positive integer", - "type": "string" - } - }, - "type": "object" - }, - "inline_response_200_5_upload_task": { - "properties": { - "id": { - "description": "ID of the uploaded task, a positive integer", - "type": "string" - } - }, - "type": "object" - }, - "inline_response_200_13_flow_untag": { - "properties": { - "id": { - "description": "ID of the untagged flow", - "type": "string" - } - }, - "type": "object" - }, - "UserList_users": { - "properties": { - "user": { - "type": "array", - "items": { - "$ref": "#/components/schemas/UserList_users_user" - } - } - }, - "type": "object" - }, - "DataFeatures": { - "properties": { - "data_features": { - "$ref": "#/components/schemas/DataFeatures_data_features" - } - }, - "type": "object" - }, - "Task_task_description_predictions": { - "properties": { - "feature": { - "type": "array", - "items": { - "$ref": "#/components/schemas/Task_task_description_predictions_feature" - } - }, - "format": { - "description": "The fromat of the predictions, e.g. ARFF", - "type": "string" - } - }, - "type": "object" - }, - "inline_response_200_15_flow_tag": { - "properties": { - "id": { - "description": "ID of the tagged setup", - "type": "string" - } - }, - "type": "object" - }, - "Setup_setup_parameters": { - "properties": { - "parameter_setting": { - "type": "array", - "items": { - "$ref": "#/components/schemas/Setup_setup_parameters_parameter_setting" - } - }, - "flow_id": { - "description": "ID of the flow, a positive integer", - "type": "string" - } - }, - "type": "object" - }, - "DataList": { - "properties": { - "data": { - "$ref": "#/components/schemas/DataList_data" - } - }, - "type": "object" - }, - "inline_response_200_26_study_attach": { - "properties": { - "linked_entities": { - "description": "The number of linked entities", - "type": "string" - }, - "main_entity_type": { - "description": "Main entity type of the of the study", - "type": "string" - }, - "id": { - "description": "ID of the study, a positive integer", - "type": "string" - } - }, - "type": "object" - }, - "inline_response_200_2_data_tag": { - "properties": { - "id": { - "description": "ID of the tagged dataset", - "type": "string" - } - }, - "type": "object" - }, - "inline_response_200_23_upload_flow": { - "properties": { - "id": { - "description": "ID of the run with the trace, a positive integer", - "type": "string" - } - }, - "type": "object" - }, - "EvaluationRequest_evaluation_request": { - "properties": { - "run": { - "$ref": "#/components/schemas/EvaluationRequest_evaluation_request_run" - } - }, - "type": "object" - }, - "Run": { - "properties": { - "run_description": { - "$ref": "#/components/schemas/Run_run_description" - } - }, - "type": "object" - }, - "inline_response_200_6_task_tag": { - "properties": { - "id": { - "description": "ID of the tagged task", - "type": "string" - } - }, - "type": "object" - }, - "RunList": { - "properties": { - "runs": { - "$ref": "#/components/schemas/RunList_runs" - } - }, - "type": "object" - }, - "inline_response_200_17_data_delete": { - "properties": { - "id": { - "description": "ID of the deleted run, a positive integer", - "type": "string" - } - }, - "type": "object" - }, - "Task_task_description_input": { - "properties": { - "data_set": { - "$ref": "#/components/schemas/Task_task_description_data_set" - }, - "cost_matrix": { - "description": "The cost matrix, indicating the costs for each type of misclassification", - "type": "array", - "items": { - "type": "array", - "items": { - "type": "integer", - "format": "int64" - } - } - }, - "name": { - "description": "The name of the input, e.g. source_data", - "type": "string" - }, - "evaluation_measures": { - "$ref": "#/components/schemas/Task_task_description_evaluation_measures" - }, - "estimation_procedure": { - "$ref": "#/components/schemas/Task_task_description_estimation_procedure" - } - }, - "type": "object" - }, - "UserList": { - "properties": { - "users": { - "$ref": "#/components/schemas/UserList_users" - } - }, - "type": "object" - }, - "Study_study_runs": { - "properties": { - "run_id": { - "type": "array", - "items": { - "type": "string" - } - } - }, - "type": "object" - }, - "DataFeatures_data_features_feature": { - "properties": { - "index": { - "description": "Feature index", - "type": "string" - }, - "name": { - "description": "Feature name", - "type": "string" - }, - "data_type": { - "description": "Feature data type", - "type": "string" - }, - "is_target": { - "description": "Whether this feature is seen as a target feature", - "type": "string" - }, - "is_ignore": { - "description": "Whether this feature should be ignored in modelling (e.g. every value is unique)", - "type": "string" - }, - "is_row_identifier": { - "description": "Whether this feature is a row identifier", - "type": "string" - } - }, - "type": "object" - }, - "inline_response_200_21_upload_flow": { - "properties": { - "id": { - "description": "ID of the evaluated run, a positive integer", - "type": "string" - } - }, - "type": "object" - }, - "TaskType": { - "properties": { - "description": { - "description": "A description of the task type", - "type": "string" - }, - "date": { - "description": "The date when the task type was created", - "type": "string" - }, - "output": { - "type": "array", - "items": { - "$ref": "#/components/schemas/TaskType_output" - } - }, - "contributor": { - "type": "array", - "items": { - "type": "string" - } - }, - "input": { - "type": "array", - "items": { - "$ref": "#/components/schemas/TaskType_input" - } - }, - "id": { - "description": "ID of the task type, a positive integer", - "type": "string" - }, - "name": { - "description": "The name of the task type, e.g. Supervised Classification", - "type": "string" - } - }, - "type": "object" - }, - "Run_run_description_output_data_file": { - "properties": { - "did": { - "description": "The id of the uploaded file", - "type": "string" - }, - "file_id": { - "description": "The reference id of the uploaded file, for downloading afterward", - "type": "string" - }, - "name": { - "description": "The name of the uploaded file (e.g., description, predictions, model,...)", - "type": "string" - } - }, - "type": "object" - }, - "TaskType_input": { - "properties": { - "data_set": { - "$ref": "#/components/schemas/Task_task_description_data_set" - }, - "cost_matrix": { - "type": "array", - "items": { - "type": "array", - "items": { - "type": "integer", - "format": "int64" - } - } - }, - "name": { - "description": "The name of the input, e.g. source_data", - "type": "string" - }, - "evaluation_measures": { - "$ref": "#/components/schemas/Task_task_description_evaluation_measures" - }, - "estimation_procedure": { - "$ref": "#/components/schemas/Task_task_description_estimation_procedure" - } - }, - "type": "object" - }, - "Run_run_description_output_data": { - "properties": { - "evaluation": { - "type": "array", - "items": { - "$ref": "#/components/schemas/Run_run_description_output_data_evaluation" - } - }, - "file": { - "type": "array", - "items": { - "$ref": "#/components/schemas/Run_run_description_output_data_file" - } - } - }, - "type": "object" - }, - "inline_response_200_3_data_untag": { - "properties": { - "id": { - "description": "ID of the untagged dataset", - "type": "string" - } - }, - "type": "object" - }, - "Task_task_description_output": { - "properties": { - "name": { - "description": "The name of the output, e.g. predictions", - "type": "string" - }, - "predictions": { - "$ref": "#/components/schemas/Task_task_description_predictions" - } - }, - "type": "object" - }, - "DataQualityList": { - "properties": { - "data_qualities_list": { - "$ref": "#/components/schemas/DataQualityList_data_qualities_list" - } - }, - "type": "object" - }, - "DataUnprocessed_data_unprocessed": { - "properties": { - "dataset": { - "$ref": "#/components/schemas/DataUnprocessed_data_unprocessed_dataset" - } - }, - "type": "object" - }, - "Study": { - "properties": { - "study": { - "$ref": "#/components/schemas/Study_study" - } - }, - "type": "object" - }, - "DataList_data": { - "properties": { - "dataset": { - "type": "array", - "items": { - "$ref": "#/components/schemas/DataList_data_dataset" - } - } - }, - "type": "object" - }, - "UserList_users_user": { - "properties": { - "username": { - "description": "The full user name", - "type": "string" - }, - "id": { - "description": "The user ID", - "type": "string" - } - }, - "type": "object" - }, - "TaskType_output": { - "properties": { - "name": { - "description": "The name of the output, e.g. predictions", - "type": "string" - }, - "predictions": { - "$ref": "#/components/schemas/TaskType_predictions" - } - }, - "type": "object" - }, - "RunList_runs_run": { - "properties": { - "task_id": { - "description": "The ID of the task solved by this run", - "type": "string" - }, - "run_id": { - "description": "The run ID", - "type": "string" - }, - "error_message": { - "description": "Error message generated by the run (if any)", - "type": "string" - }, - "setup_id": { - "description": "Ignore (internal representation of the parameter setting)", - "type": "string" - }, - "uploader": { - "description": "The ID of the person uploading this run", - "type": "string" - }, - "flow_id": { - "description": "The ID of the flow used in this run", - "type": "string" - } - }, - "type": "object" - }, - "DataFeatures_data_features": { - "properties": { - "feature": { - "type": "array", - "items": { - "$ref": "#/components/schemas/DataFeatures_data_features_feature" - } - } - }, - "type": "object" - }, - "DataQualities_data_qualities_quality": { - "properties": { - "name": { - "description": "The name of the dataset quality measures", - "type": "string" - }, - "value": { - "description": "The value for this dataset", - "type": "string" - } - }, - "type": "object" - }, - "inline_response_200_12_flow_tag": { - "properties": { - "id": { - "description": "ID of the tagged flow", - "type": "string" - } - }, - "type": "object" - }, - "inline_response_200_8_flow_delete": { - "properties": { - "id": { - "description": "ID of the deleted flow, a positive integer", - "type": "string" - } - }, - "type": "object" - }, - "DataQualities_data_qualities": { - "properties": { - "quality": { - "type": "array", - "items": { - "$ref": "#/components/schemas/DataQualities_data_qualities_quality" - } - } - }, - "type": "object" - }, - "EvaluationRequest": { - "properties": { - "evaluation_request": { - "$ref": "#/components/schemas/EvaluationRequest_evaluation_request" - } - }, - "type": "object" - }, - "inline_response_200_18_upload_flow": { - "properties": { - "id": { - "description": "ID of the uploaded run, a positive integer", - "type": "string" - } - }, - "type": "object" - }, - "SetupList": { - "properties": { - "setups": { - "$ref": "#/components/schemas/SetupList_setups" - } - }, - "type": "object" - }, - "TaskList": { - "properties": { - "task": { - "$ref": "#/components/schemas/TaskList_task" - } - }, - "type": "object" - }, - "inline_response_200_4_task_delete": { - "properties": { - "id": { - "description": "ID of the deleted task, a positive integer", - "type": "string" - } - }, - "type": "object" - }, - "Task_task_description_data_set": { - "properties": { - "data_set_id": { - "description": "The id of the dataset", - "type": "string" - }, - "target_feature": { - "description": "The name of the target feature for this task", - "type": "string" - } - }, - "type": "object" - }, - "EvaluationList": { - "properties": { - "evaluations": { - "$ref": "#/components/schemas/EvaluationList_evaluations" - } - }, - "type": "object" - }, - "Run_run_description": { - "properties": { - "setup_string": { - "description": "Configuration of the flow as a string, to be interpreted by the flow, its library, or command line interface.", - "type": "string" - }, - "task_type": { - "description": "The type of task solved by this run (e.g., classification)", - "type": "string" - }, - "task_id": { - "description": "The id of the task solved by this run", - "type": "string" - }, - "task_evaluation_measure": { - "description": "The evaluation measure that is supposed to be optimized in the task, if any", - "type": "string" - }, - "uploader_name": { - "description": "The name of the uploader of the run", - "type": "string" - }, - "input_data": { - "$ref": "#/components/schemas/Run_run_description_input_data" - }, - "tag": { - "description": "Tags added by OpenML users. Includes study tags in the form `study_1`", - "type": "array", - "items": { - "type": "string" - } - }, - "output_data": { - "$ref": "#/components/schemas/Run_run_description_output_data" - }, - "uploader": { - "description": "The uploader of the run", - "type": "string" - }, - "flow_id": { - "description": "The id of the flow used in this run", - "type": "string" - }, - "flow_name": { - "description": "The name of the flow used in this run", - "type": "string" - }, - "id": { - "description": "ID of the run, a positive integer", - "type": "string" - }, - "parameter_setting": { - "type": "array", - "items": { - "$ref": "#/components/schemas/Run_run_description_parameter_setting" - } - } - }, - "type": "object" - }, - "FlowList": { - "properties": { - "flows": { - "$ref": "#/components/schemas/FlowList_flows" - } - }, - "type": "object" - }, - "inline_response_200_19_run_tag": { - "properties": { - "id": { - "description": "ID of the tagged run", - "type": "string" - } - }, - "type": "object" - }, - "Study_study_data": { - "properties": { - "data_id": { - "type": "array", - "items": { - "type": "string" - } - } - }, - "type": "object" - }, - "inline_response_200_data_delete": { - "properties": { - "id": { - "description": "ID of the deleted dataset, a positive integer", - "type": "string" - } - }, - "type": "object" - }, - "RunTrace_trace": { - "properties": { - "trace_iteration": { - "type": "array", - "items": { - "$ref": "#/components/schemas/RunTrace_trace_trace_iteration" - } - }, - "run_id": { - "description": "run ID", - "type": "string" - } - }, - "type": "object" - }, - "inline_response_200_7_task_untag": { - "properties": { - "id": { - "description": "ID of the untagged task", - "type": "string" - } - }, - "type": "object" - }, - "Data": { - "properties": { - "data_set_description": { - "$ref": "#/components/schemas/Data_data_set_description" - } - }, - "type": "object" - }, - "Task_task_description_evaluation_measures": { - "properties": { - "evaluation_measure": { - "description": "The evaluation measure to optimize in this task", - "type": "string" - } - }, - "type": "object" - }, - "SetupList_setups_parameter": { - "properties": { - "default_value": { - "description": "The parameter's default value", - "type": "string" - }, - "data_type": { - "description": "The parameter's data type", - "type": "string" - }, - "value": { - "description": "The parameter value in this setup", - "type": "string" - }, - "parameter_name": { - "description": "The parameter's short name", - "type": "string" - }, - "full_name": { - "description": "The parameter's full name", - "type": "string" - }, - "flow_id": { - "description": "The (sub)flow ID", - "type": "string" - }, - "flow_name": { - "description": "The (sub)flow name", - "type": "string" - }, - "id": { - "description": "The parameter ID", - "type": "string" - } - }, - "type": "object" - }, - "TaskList_task_input": { - "properties": { - "name": { - "description": "The name of the input", - "type": "string" - }, - "value": { - "description": "The value of the input", - "type": "string" - } - }, - "type": "object" - }, - "StudyList_study_list": { - "properties": { - "study": { - "type": "array", - "items": { - "$ref": "#/components/schemas/StudyList_study_list_study" - } - } - }, - "type": "object" - }, - "Study_study_tag": { - "properties": { - "write_access": { - "description": "The write access level of the study (e.g. public)", - "type": "string" - }, - "name": { - "description": "The name of the study (e.g. study_1)", - "type": "string" - } - }, - "type": "object" - }, - "Flow": { - "properties": { - "flow_description": { - "$ref": "#/components/schemas/Flow_flow_description" - } - }, - "type": "object" - }, - "Run_run_description_parameter_setting": { - "properties": { - "name": { - "description": "The name of the parameter", - "type": "string" - }, - "value": { - "description": "The value of the parameter used", - "type": "string" - } - }, - "type": "object" - }, - "EvaluationRequest_evaluation_request_run": { - "properties": { - "setup_id": { - "description": "ID of the setup, a positive integer", - "type": "string" - }, - "upload_time": { - "description": "The datetime that the dataset was uploaded, format yyyy-MM-dd HH:mm:ss", - "type": "string" - }, - "uploader": { - "description": "ID of the uploader, a positive integer", - "type": "string" - }, - "task_id": { - "description": "ID of the task, a positive integer", - "type": "string" - }, - "run_id": { - "description": "ID of the run, a positive integer", - "type": "string" - } - }, - "type": "object" - }, - "Error": { - "properties": { - "message": { - "type": "string" - }, - "code": { - "type": "integer" - }, - "additional_message": { - "type": "string" - } - }, - "type": "object" - }, - "EstimationProcedureList_estimationprocedures_estimationprocedure": { - "properties": { - "name": { - "description": "The estimation procedure name, e.g. '10 fold Crossvalidation'", - "type": "string" - }, - "folds": { - "description": "The number of cross-validation folds, e.g. '10'", - "type": "string" - }, - "stratified_sampling": { - "description": "Whether or not the sampling is stratified, 'true' or 'false'", - "type": "string" - }, - "ttid": { - "description": "The task type ID", - "type": "string" - }, - "repeats": { - "description": "The number of repeats, e.g. '10'", - "type": "string" - }, - "type": { - "description": "The estimation procedure type, e.g. 'crossvalidation'", - "type": "string" - }, - "id": { - "description": "The estimation procedure ID", - "type": "string" - } - }, - "type": "object" - }, - "TaskTypeList_task_types": { - "properties": { - "task_type": { - "type": "array", - "items": { - "$ref": "#/components/schemas/TaskTypeList_task_types_task_type" - } - } - }, - "type": "object" - }, - "TaskList_task_task": { - "properties": { - "status": { - "description": "The status of the source dataset, active, in_preparation, or deactivated", - "type": "string" - }, - "task_type": { - "description": "The type of task (e.g. Supervised Classificationr)", - "type": "string" - }, - "name": { - "description": "The name of the source dataset", - "type": "string" - }, - "task_id": { - "description": "The ID of the task", - "type": "string" - }, - "format": { - "description": "The format of the source dataset", - "type": "string" - }, - "did": { - "description": "The id of the source dataset", - "type": "string" - }, - "tag": { - "type": "array", - "items": { - "type": "string" - } - }, - "input": { - "type": "array", - "items": { - "$ref": "#/components/schemas/TaskList_task_input" - } - }, - "quality": { - "type": "array", - "items": { - "$ref": "#/components/schemas/TaskList_task_quality" - } - } - }, - "type": "object" - }, - "inline_response_200_20_run_untag": { - "properties": { - "id": { - "description": "ID of the untagged run", - "type": "string" - } - }, - "type": "object" - }, - "StudyList": { - "properties": { - "study_list": { - "$ref": "#/components/schemas/StudyList_study_list" - } - }, - "type": "object" - }, - "Study_study": { - "properties": { - "runs": { - "$ref": "#/components/schemas/Study_study_runs" - }, - "tasks": { - "$ref": "#/components/schemas/Study_study_tasks" - }, - "name": { - "description": "The name of the study", - "type": "string" - }, - "creator": { - "description": "A comma-separated list of the study creators", - "type": "string" - }, - "flows": { - "$ref": "#/components/schemas/Study_study_flows" - }, - "creation_date": { - "description": "The datetime that the dataset was uploaded, format yyyy-MM-dd HH:mm:ss", - "type": "string" - }, - "alias": { - "description": "The alias of the study", - "type": "string" - }, - "tag": { - "$ref": "#/components/schemas/Study_study_tag" - }, - "main_entity_type": { - "description": "The type of entity collected in the study (e.g. task or run)", - "type": "string" - }, - "data": { - "$ref": "#/components/schemas/Study_study_data" - }, - "id": { - "description": "The ID of the study", - "type": "string" - } - }, - "type": "object" - }, - "inline_response_200_25_upload_study": { - "properties": { - "id": { - "description": "ID of the uploaded study, a positive integer", - "type": "string" - } - }, - "type": "object" - }, - "EvaluationList_evaluations_evaluation": { - "properties": { - "function": { - "description": "The name of the evaluation function", - "type": "string" - }, - "task_id": { - "description": "The ID of the tasks solved by this run", - "type": "string" - }, - "run_id": { - "description": "The run ID", - "type": "string" - }, - "array_data": { - "description": "For structured evaluation measures, an array of evaluation values (e.g. per-class predictions, evaluation matrices,...)", - "type": "string" - }, - "value": { - "description": "The outcome of the evaluation", - "type": "string" - }, - "flow_id": { - "description": "The ID of the flow used by this run", - "type": "string" - } - }, - "type": "object" - }, - "EstimationProcedureList": { - "properties": { - "estimationprocedures": { - "$ref": "#/components/schemas/EstimationProcedureList_estimationprocedures" - } - }, - "type": "object" - }, - "DataQualityList_data_qualities_list": { - "properties": { - "quality": { - "type": "array", - "items": { - "type": "string" - } - } - }, - "type": "object" - }, - "Study_study_flows": { - "properties": { - "flow_id": { - "type": "array", - "items": { - "type": "string" - } - } - }, - "type": "object" - }, - "StudyList_study_list_study": { - "properties": { - "alias": { - "description": "The alias of the study", - "type": "string" - }, - "creation_date": { - "description": "The datetime that the dataset was uploaded, format yyyy-MM-dd HH:mm:ss", - "type": "string" - }, - "creator": { - "description": "A comma-separated list of the study creators", - "type": "string" - }, - "id": { - "description": "The ID of the study", - "type": "string" - }, - "name": { - "description": "The name of the study", - "type": "string" - } - }, - "type": "object" - }, - "Run_run_description_input_data": { - "properties": { - "dataset": { - "$ref": "#/components/schemas/Run_run_description_input_data_dataset" - } - }, - "type": "object" - }, - "TaskTypeList_task_types_task_type": { - "properties": { - "description": { - "description": "A description of the task type", - "type": "string" - }, - "creator": { - "description": "A comma-separated list of the task type creators", - "type": "string" - }, - "id": { - "description": "The ID of the task type", - "type": "string" - }, - "name": { - "description": "The name of the task type", - "type": "string" - } - }, - "type": "object" - }, - "EvaluationMeasureList_evaluation_measures": { - "properties": { - "measures": { - "$ref": "#/components/schemas/EvaluationMeasureList_evaluation_measures_measures" - } - }, - "type": "object" - }, - "TaskType_predictions": { - "properties": { - "feature": { - "type": "array", - "items": { - "$ref": "#/components/schemas/Task_task_description_predictions_feature" - } - }, - "format": { - "description": "The format of the predictions, e.g. ARFF", - "type": "string" - } - }, - "type": "object" - }, - "Flow_flow_description_parameter": { - "properties": { - "default_value": { - "description": "The default value of the parameter", - "type": "string" - }, - "name": { - "description": "The name of the parameter", - "type": "string" - }, - "data_type": { - "description": "The data type of the parameter", - "type": "string" - }, - "description": { - "description": "A description of the parameter", - "type": "string" - } - }, - "type": "object" - }, - "RunTrace_trace_trace_iteration": { - "properties": { - "setup_string": { - "description": "A JSON representation of the setup (configuration)", - "type": "string" - }, - "repeat": { - "description": "The number of the repeat in the outer cross-valudation", - "type": "string" - }, - "selected": { - "description": "Whether this setup was selected as the best one (true or false)", - "type": "string" - }, - "iteration": { - "description": "A number of the optimization iteration", - "type": "string" - }, - "fold": { - "description": "The number of the fold in the inner cross-validation", - "type": "string" - }, - "evaluation": { - "description": "The evaluation score of the setup", - "type": "string" - } - }, - "type": "object" - }, - "EvaluationMeasureList": { - "properties": { - "evaluation_measures": { - "$ref": "#/components/schemas/EvaluationMeasureList_evaluation_measures" - } - }, - "type": "object" - }, - "SetupList_setups": { - "properties": { - "setup": { - "type": "array", - "items": { - "$ref": "#/components/schemas/SetupList_setups_setup" - } - } - }, - "type": "object" - }, - "TaskList_task": { - "properties": { - "task": { - "type": "array", - "items": { - "$ref": "#/components/schemas/TaskList_task_task" - } - } + "example": { + "setup_parameters": { + "flow_id": "59", + "parameter": [ + { + "full_name": "weka.JRip(1)_F", + "parameter_name": "F", + "data_type": "option", + "default_value": "3", + "value": "3" + }, + { + "full_name": "weka.JRip(1)_N", + "parameter_name": "N", + "data_type": "option", + "default_value": "2.0", + "value": "2.0" + }, + { + "full_name": "weka.JRip(1)_O", + "parameter_name": "O", + "data_type": "option", + "default_value": "2", + "value": "2" + }, + { + "full_name": "weka.JRip(1)_S", + "parameter_name": "S", + "data_type": "option", + "default_value": "1", + "value": "1" + } + ] + } + } + } + } + }, + "412": { + "description": "Precondition failed. An error code and message are returned.\\n280 - Please provide setup ID. In order to view setup details, please provide the run ID\\n281 - Setup not found. The setup ID was invalid, or setup does not exist (anymore).\\n", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Error" + } + } + } + } + } + }, + "delete": { + "tags": ["setup"], + "summary": "Delete setup", + "description": "Deletes a setup. Upon success, it returns the ID of the deleted setup.", + "operationId": "Api_setup::setup_delete", + "parameters": [ + { + "name": "id", + "in": "path", + "description": "Id of the setup.", + "required": true, + "schema": { + "type": "integer" + } + }, + { + "name": "api_key", + "in": "query", + "description": "Api key to authenticate the user", + "required": true, + "schema": { + "type": "string" + } + } + ], + "responses": { + "200": { + "description": "ID of the deleted setup", + "content": { + "application/json": { + "schema": { + "properties": { + "study_delete": { + "$ref": "#/components/schemas/inline_response_200_14_study_delete" + } + }, + "type": "object" }, - "type": "object" - }, - "SetupList_setups_setup": { - "properties": { - "setup_id": { - "description": "The setup ID", - "type": "string" - }, - "parameter": { - "type": "array", - "items": { - "$ref": "#/components/schemas/SetupList_setups_parameter" - } - }, - "flow_id": { - "description": "The ID of the flow used by this run", - "type": "string" - } + "example": { + "setup_delete": { + "id": "1" + } + } + } + } + }, + "412": { + "description": "Precondition failed. An error code and message are returned.\\n401 - Authentication failed. Please provide API key. In order to remove your content, please authenticate.\\n402 - Setup does not exists. The setup ID could not be linked to an existing setup.\\n404 - Setup deletion failed. Setup is in use by other content (runs, schedules, etc). Can not be deleted.\\n405 - Setup deletion failed. Please try again later.\\n", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Error" + } + } + } + } + } + } + }, + "/setup/list/{filters}": { + "get": { + "tags": ["setup"], + "summary": "List and filter setups", + "description": "List setups, filtered by a range of properties. Any number of properties can be combined by listing them one after the other in the form '/setup/list/{filter}/{value}/{filter}/{value}/...' Returns an array with all evaluations that match the constraints. A maximum of 1,000 results are returned at a time, an error is returned if the result set is bigger. Use pagination (via limit and offset filters), or limit the results to certain flows, setups, or tags.", + "operationId": "Api_setup::setup_list", + "parameters": [ + { + "name": "filters", + "in": "path", + "description": "Any combination of these filters\r\n /tag/{tag} - returns only setups tagged with the given tag.\r\n /flow/{ids} - return only setups for specific flows, specified as a comma-separated list of flow IDs, e.g. ''1,2,3''\r\n /setup/{ids} - return only specific setups, specified as a comma-separated list of setup IDs, e.g. ''1,2,3''\r\n /limit/{limit}/offset/{offset} - returns only {limit} results starting from result number {offset}. Useful for paginating results. With /limit/5/offset/10, results 11..15 will be returned. Both limit and offset need to be specified.\r\n ", + "required": true, + "schema": { + "type": "string" + } + } + ], + "responses": { + "200": { + "description": "A list of setup descriptions", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/SetupList" }, - "type": "object" - }, - "Task_task_description_estimation_procedure_parameter": { - "properties": { - "name": { - "description": "The name of the parameter", - "type": "string" - }, - "value": { - "description": "The value of the parameter", - "type": "string" - } + "example": { + "setups": { + "setup": [ + { + "setup_id": "10", + "flow_id": "65", + "parameter": [ + { + "id": "4144", + "flow_id": "65", + "flow_name": "weka.RandomForest", + "full_name": "weka.RandomForest(1)_I", + "parameter_name": "I", + "data_type": "option", + "default_value": "10", + "value": "10" + }, + { + "id": "4145", + "flow_id": "65", + "flow_name": "weka.RandomForest", + "full_name": "weka.RandomForest(1)_K", + "parameter_name": "K", + "data_type": "option", + "default_value": "0", + "value": "0" + } + ] + } + ] + } + } + } + } + }, + "412": { + "description": "Precondition failed. An error code and message are returned.\\n670 - Please specify at least one filter.\\n671 - Illegal filter.\\n672 - Illegal filter input.\\n673 - Result set too big. Please use one of the filters or the limit option.\\n674 - No results, please check the filter.\\n675 - Cannot specify offset without limit.\\n676 - Requested result limit too high.\\n", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Error" + } + } + } + } + } + } + }, + "/setup/tag": { + "post": { + "tags": ["setup"], + "summary": "Tag a setup", + "description": "Tags a setup.", + "operationId": "Api_setup::setup_tag", + "parameters": [ + { + "name": "setup_id", + "in": "query", + "description": "Id of the setup.", + "required": true, + "schema": { + "type": "integer" + } + }, + { + "name": "tag", + "in": "query", + "description": "Tag name", + "required": true, + "schema": { + "type": "string" + } + }, + { + "name": "api_key", + "in": "query", + "description": "Api key to authenticate the user", + "required": true, + "schema": { + "type": "string" + } + } + ], + "responses": { + "200": { + "description": "The id of the tagged setup", + "content": { + "application/json": { + "schema": { + "properties": { + "flow_tag": { + "$ref": "#/components/schemas/inline_response_200_15_flow_tag" + } + }, + "type": "object" }, - "type": "object" - }, - "RunList_runs": { - "properties": { - "run": { - "type": "array", - "items": { - "$ref": "#/components/schemas/RunList_runs_run" - } - } + "example": { + "setup_tag": { + "id": "2" + } + } + } + } + }, + "412": { + "description": "Precondition failed. An error code and message are returned.\\n470 - In order to add a tag, please upload the entity id (either data_id, flow_id, run_id) and tag (the name of the tag).\\n471 - Entity not found. The provided entity_id {data_id, flow_id, run_id} does not correspond to an existing entity.\\n472 - Entity already tagged by this tag. The entity {dataset, flow, run} already had this tag.\\n473 - Something went wrong inserting the tag. Please contact OpenML Team.\\n474 - Internal error tagging the entity. Please contact OpenML Team.\\n", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Error" + } + } + } + } + } + } + }, + "/setup/untag": { + "post": { + "tags": ["setup"], + "summary": "Untag a setup", + "description": "Untags a setup.", + "operationId": "Api_setup::setup_untag", + "parameters": [ + { + "name": "setup_id", + "in": "query", + "description": "Id of the setup.", + "required": true, + "schema": { + "type": "integer" + } + }, + { + "name": "tag", + "in": "query", + "description": "Tag name", + "required": true, + "schema": { + "type": "string" + } + }, + { + "name": "api_key", + "in": "query", + "description": "Api key to authenticate the user", + "required": true, + "schema": { + "type": "string" + } + } + ], + "responses": { + "200": { + "description": "The id of the untagged setup", + "content": { + "application/json": { + "schema": { + "properties": { + "flow_untag": { + "$ref": "#/components/schemas/inline_response_200_16_flow_untag" + } + }, + "type": "object" }, - "type": "object" - }, - "Study_study_tasks": { - "properties": { - "task_id": { - "type": "array", - "items": { - "type": "string" - } - } + "example": { + "setup_untag": { + "id": "2" + } + } + } + } + }, + "412": { + "description": "Precondition failed. An error code and message are returned.\\n475 - Please give entity_id {data_id, flow_id, run_id} and tag. In order to remove a tag, please upload the entity id (either data_id, flow_id, run_id) and tag (the name of the tag).\\n476 - Entity {dataset, flow, run} not found. The provided entity_id {data_id, flow_id, run_id} does not correspond to an existing entity.\\n477 - Tag not found. The provided tag is not associated with the entity {dataset, flow, run}.\\n478 - Tag is not owned by you. The entity {dataset, flow, run} was tagged\\nby another user. Hence you cannot delete it.\\n479 - Internal error removing the tag. Please contact OpenML Team.\\n", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Error" + } + } + } + } + } + } + }, + "/tasktype/{id}": { + "get": { + "tags": ["tasktype"], + "summary": "Get task type description", + "description": "Returns information about a task type. The information includes a description, the given inputs and the expected outputs.", + "parameters": [ + { + "name": "id", + "in": "path", + "description": "ID of the task.", + "required": true, + "schema": { + "type": "integer" + } + } + ], + "responses": { + "200": { + "description": "A task type description", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/TaskType" }, - "type": "object" - }, - "inline_response_200_1_upload_data_set": { - "properties": { - "id": { - "description": "ID of the uploaded dataset, a positive integer", - "type": "string" - } + "example": { + "task_type": { + "id": "1", + "name": "Supervised Classification", + "description": "In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.
\\\r\n * \\\r\n * To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.
\\\r\n * \\\r\n * You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.
\\\r\n * \\\r\n * Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.", + "creator": [ + "Joaquin Vanschoren", + "Jan van Rijn", + "Luis Torgo", + "Bernd Bischl" + ], + "contributor": [ + "Bo Gao", + "Simon Fischer", + "Venkatesh Umaashankar", + "Michael Berthold", + "Bernd Wiswedel", + "Patrick Winter" + ], + "creation_date": "2013-01-24 00:00:00", + "input": [ + { + "name": "source_data", + "requirement": "required", + "data_type": "numeric" + }, + { + "name": "target_feature", + "requirement": "required", + "data_type": "string" + }, + { + "name": "estimation_procedure", + "requirement": "required", + "data_type": "numeric" + }, + { + "name": "cost_matrix", + "data_type": "json" + }, + { + "name": "custom_testset", + "data_type": "json" + }, + { + "name": "evaluation_measures", + "data_type": "string" + } + ] + } + } + } + } + }, + "412": { + "description": "Precondition failed. An error code and message are returned.\\n240 - Please provide task type ID.\\n241 - Unknown task type. The task type with the given id was not found in the database\\n", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Error" + } + } + } + } + } + } + }, + "/evaluationmeasure/list": { + "get": { + "tags": ["evaluationmeasure"], + "summary": "List all evaluation measures", + "description": "Returns an array with all model evaluation measures in the system.", + "operationId": "Api_evaluationmeasure::evaluationmeasure_list", + "responses": { + "200": { + "description": "A list of evaluation measures", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/EvaluationMeasureList" }, - "type": "object" - }, - "Setup_setup_parameters_parameter_setting": { - "properties": { - "default_value": { - "description": "The default value of the parameter used", - "type": "string" - }, - "value": { - "description": "The value of the parameter used", - "type": "string" - }, - "data_type": { - "description": "The data type of the hyperparameter value", - "type": "string" - }, - "full_name": { - "description": "The full name of the hyperparameter", - "type": "string" - }, - "parameter_name": { - "description": "The short name of the hyperparameter", - "type": "string" - } + "example": { + "evaluation_measures": { + "measures": { + "measure": [ + "area_under_roc_curve", + "average_cost", + "binominal_test", + "build_cpu_time" + ] + } + } + } + } + } + } + } + } + }, + "/estimationprocedure/list": { + "get": { + "tags": ["estimationprocedure"], + "summary": "List all estimation procedures", + "description": "Returns an array with all model performance estimation procedures in the system.", + "operationId": "Api_estimationprocedure::estimationprocedure_list", + "responses": { + "200": { + "description": "A list of estimation procedures", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/EstimationProcedureList" }, - "type": "object" - }, - "DataQualities": { - "properties": { - "data_qualities": { - "$ref": "#/components/schemas/DataQualities_data_qualities" - } + "example": { + "estimationprocedures": { + "estimationprocedure": [ + { + "id": "1", + "ttid": "1", + "name": "10-fold Crossvalidation", + "type": "crossvalidation", + "repeats": "1", + "folds": "10", + "stratified_sampling": "true" + }, + { + "id": "2", + "ttid": "1", + "name": "5 times 2-fold Crossvalidation", + "type": "crossvalidation", + "repeats": "5", + "folds": "2", + "stratified_sampling": "true" + } + ] + } + } + } + } + }, + "412": { + "description": "Precondition failed. An error code and message are returned.\\n500 - No model performance estimation procedures available.\\n", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Error" + } + } + } + } + } + } + }, + "/user/list": { + "get": { + "tags": ["user"], + "summary": "List all users by user id. Only accessible to admins.", + "description": "Returns an array with all user ids and names.", + "operationId": "Api_user::username_list", + "responses": { + "200": { + "description": "A list of users", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/UserList" }, - "type": "object" + "example": { + "users": { + "user": [ + { + "id": "1", + "username": "janvanrijn@gmail.com" + }, + { + "id": "2", + "username": "joaquin.vanschoren@gmail.com" + } + ] + } + } + } } + } } + } + } + }, + "components": { + "schemas": { + "inline_response_200_16_flow_untag": { + "properties": { + "id": { + "description": "ID of the untagged setup", + "type": "string" + } + }, + "type": "object" + }, + "EvaluationMeasureList_evaluation_measures_measures": { + "properties": { + "measure": { + "description": "The evaluation measure names", + "type": "array", + "items": { + "type": "string" + } + } + }, + "type": "object" + }, + "inline_response_200_10_flow_exists": { + "properties": { + "id": { + "description": "The id of the flow with the given name and (external) version", + "type": "string" + }, + "exists": { + "description": "true or false", + "type": "string" + } + }, + "type": "object" + }, + "Data_data_set_description": { + "properties": { + "default_target_attribute": { + "description": "For tabular data, the name of the column that is typically used as the target attribute for that data set", + "type": "string" + }, + "upload_date": { + "description": "The datetime that the dataset was uploaded, format yyyy-MM-dd HH:mm:ss", + "type": "string" + }, + "version_label": { + "description": "The version of the dataset, as defined by the uploader, for reference. Can be any format as long as it is unique.", + "type": "string" + }, + "description": { + "description": "Wiki description of the dataset, in (Git flavoured) markdown format", + "type": "string" + }, + "format": { + "description": "Data format, for instance ARFF", + "type": "string" + }, + "url": { + "description": "The URL where the data can be downloaded", + "type": "string" + }, + "tag": { + "description": "Tags added by OpenML users. Includes study tags in the form `study_1`", + "type": "array", + "items": { + "type": "string" + } + }, + "visibility": { + "description": "Who can see the dataset. For instance `public`.", + "type": "string" + }, + "md5_checksum": { + "description": "Checksum to verify downloads of the dataset", + "type": "string" + }, + "version": { + "description": "The version of the dataset, set by OpenML. A positive integer", + "type": "string" + }, + "status": { + "description": "active, in_preparation, or deactivated", + "type": "string" + }, + "file_id": { + "description": "The ID of the dataset file stored on the OpenML server", + "type": "string" + }, + "licence": { + "description": "The licence granted for using the dataset, for instance Public or CC-BY", + "type": "string" + }, + "original_data_url": { + "description": "The URL where the original data is hosted.", + "type": "string" + }, + "id": { + "description": "ID of the dataset, a positive integer", + "type": "string" + }, + "name": { + "description": "The name of the dataset", + "type": "string" + } + }, + "type": "object" + }, + "DataList_data_dataset": { + "properties": { + "did": { + "description": "The dataset ID", + "type": "string" + }, + "status": { + "description": "The dataset status, either in_preparation, active, or deactivated", + "type": "string" + }, + "quality": { + "type": "array", + "items": { + "$ref": "#/components/schemas/DataList_data_quality" + } + }, + "name": { + "description": "The dataset name", + "type": "string" + }, + "format": { + "description": "The data format of the dataset, e.g. ARFF", + "type": "string" + } + }, + "type": "object" + }, + "Task_task_description_estimation_procedure": { + "properties": { + "parameter": { + "type": "array", + "items": { + "$ref": "#/components/schemas/Task_task_description_estimation_procedure_parameter" + } + }, + "type": { + "description": "The type of procedure, e.g. crossvalidation", + "type": "string" + }, + "data_splits_url": { + "description": "The url where the data splits can be downloaded", + "type": "string" + } + }, + "type": "object" + }, + "DataList_data_quality": { + "properties": { + "name": { + "description": "The name of the property", + "type": "string" + }, + "value": { + "description": "The value of the property", + "type": "string" + } + }, + "type": "object" + }, + "FlowList_flows_flow": { + "properties": { + "full_name": { + "description": "The full flow name (name + internal version number)", + "type": "string" + }, + "external_version": { + "description": "The external flow version", + "type": "string" + }, + "version": { + "description": "The internal flow version", + "type": "string" + }, + "uploader": { + "description": "The ID of the person who uploaded the flow", + "type": "string" + }, + "id": { + "description": "The flow ID", + "type": "string" + }, + "name": { + "description": "The flow name", + "type": "string" + } + }, + "type": "object" + }, + "Run_run_description_input_data_dataset": { + "properties": { + "did": { + "description": "The id of the dataset", + "type": "string" + }, + "url": { + "description": "The download url of the dataset", + "type": "string" + }, + "name": { + "description": "The name of the dataset", + "type": "string" + } + }, + "type": "object" + }, + "EvaluationList_evaluations": { + "properties": { + "evaluation": { + "type": "array", + "items": { + "$ref": "#/components/schemas/EvaluationList_evaluations_evaluation" + } + } + }, + "type": "object" + }, + "inline_response_200_14_study_delete": { + "properties": { + "id": { + "description": "ID of the deleted setup, a positive integer", + "type": "string" + } + }, + "type": "object" + }, + "DataUnprocessed": { + "properties": { + "data_unprocessed": { + "$ref": "#/components/schemas/DataUnprocessed_data_unprocessed" + } + }, + "type": "object" + }, + "DataUnprocessed_data_unprocessed_dataset": { + "properties": { + "did": { + "description": "ID of the dataset a positive integer", + "type": "string" + }, + "status": { + "description": "Status of the dataset", + "type": "string" + }, + "version": { + "description": "Version of the dataset, a positive integer", + "type": "string" + }, + "name": { + "description": "The name of the dataset", + "type": "string" + }, + "format": { + "description": "The dataset format, e.g. ARFF", + "type": "string" + } + }, + "type": "object" + }, + "EstimationProcedureList_estimationprocedures": { + "properties": { + "estimationprocedure": { + "type": "array", + "items": { + "$ref": "#/components/schemas/EstimationProcedureList_estimationprocedures_estimationprocedure" + } + } + }, + "type": "object" + }, + "TaskTypeList": { + "properties": { + "task_types": { + "$ref": "#/components/schemas/TaskTypeList_task_types" + } + }, + "type": "object" + }, + "Run_run_description_output_data_evaluation": { + "properties": { + "array_data": { + "description": "For composite evaluation measures (e.g. per-class measures, confusion matrix), a string (JSON) representation of the evaluation.", + "type": "string" + }, + "name": { + "description": "The name of the evaluation measure", + "type": "string" + }, + "value": { + "description": "The result of the evaluation", + "type": "string" + }, + "flow_id": { + "description": "The id of the code used to compute this evaluation method", + "type": "string" + } + }, + "type": "object" + }, + "TaskList_task_quality": { + "properties": { + "name": { + "description": "The name of the quality", + "type": "string" + }, + "value": { + "description": "The value of the quality", + "type": "string" + } + }, + "type": "object" + }, + "Task_task_description": { + "properties": { + "input": { + "type": "array", + "items": { + "$ref": "#/components/schemas/Task_task_description_input" + } + }, + "task_type": { + "description": "The type of the task, e.g. Supervised Classification", + "type": "string" + }, + "tag": { + "description": "Tags added by OpenML uers. Includes study tags in the form 'study_1'", + "type": "array", + "items": { + "type": "string" + } + }, + "task_id": { + "description": "ID of the task, a positive integer", + "type": "string" + }, + "output": { + "type": "array", + "items": { + "$ref": "#/components/schemas/Task_task_description_output" + } + } + }, + "type": "object" + }, + "inline_response_200_9_upload_flow": { + "properties": { + "id": { + "description": "ID of the uploaded flow, a positive integer", + "type": "string" + } + }, + "type": "object" + }, + "Flow_flow_description": { + "properties": { + "upload_date": { + "description": "The datetime that the flow was uploaded, format yyyy-MM-dd HH:mm:ss", + "type": "string" + }, + "description": { + "description": "Wiki description of the flow, in (Git flavoured) markdown format", + "type": "string" + }, + "language": { + "description": "The programming language the flow is written in.", + "type": "string" + }, + "parameter": { + "type": "array", + "items": { + "$ref": "#/components/schemas/Flow_flow_description_parameter" + } + }, + "tag": { + "description": "Tags added by OpenML users. Includes study tags in the form `study_1`", + "type": "array", + "items": { + "type": "string" + } + }, + "version": { + "description": "The version of the flow, set by OpenML. A positive integer", + "type": "string" + }, + "version_label": { + "description": "The version of the flow, as defined by the uploader, for reference. Can be any format as long as it is unique.", + "type": "string" + }, + "dependencies": { + "description": "The libraries that this flow depends on, and their version numbers.", + "type": "string" + }, + "uploader": { + "description": "The uploader of the flow", + "type": "string" + }, + "id": { + "description": "ID of the flow, a positive integer", + "type": "string" + }, + "name": { + "description": "The name of the flow", + "type": "string" + } + }, + "type": "object" + }, + "Task": { + "properties": { + "task_description": { + "$ref": "#/components/schemas/Task_task_description" + } + }, + "type": "object" + }, + "Setup": { + "properties": { + "setup_parameters": { + "$ref": "#/components/schemas/Setup_setup_parameters" + } + }, + "type": "object" + }, + "FlowList_flows": { + "properties": { + "flow": { + "type": "array", + "items": { + "$ref": "#/components/schemas/FlowList_flows_flow" + } + } + }, + "type": "object" + }, + "RunTrace": { + "properties": { + "trace": { + "$ref": "#/components/schemas/RunTrace_trace" + } + }, + "type": "object" + }, + "Task_task_description_predictions_feature": { + "properties": { + "type": { + "description": "The type of the prediction feature, e.g. integer", + "type": "string" + }, + "name": { + "description": "The name of the prediction feature, e.g. row_id", + "type": "string" + } + }, + "type": "object" + }, + "inline_response_200_24_study_delete": { + "properties": { + "id": { + "description": "ID of the deleted study, a positive integer", + "type": "string" + } + }, + "type": "object" + }, + "inline_response_200_5_upload_task": { + "properties": { + "id": { + "description": "ID of the uploaded task, a positive integer", + "type": "string" + } + }, + "type": "object" + }, + "inline_response_200_13_flow_untag": { + "properties": { + "id": { + "description": "ID of the untagged flow", + "type": "string" + } + }, + "type": "object" + }, + "UserList_users": { + "properties": { + "user": { + "type": "array", + "items": { + "$ref": "#/components/schemas/UserList_users_user" + } + } + }, + "type": "object" + }, + "DataFeatures": { + "properties": { + "data_features": { + "$ref": "#/components/schemas/DataFeatures_data_features" + } + }, + "type": "object" + }, + "Task_task_description_predictions": { + "properties": { + "feature": { + "type": "array", + "items": { + "$ref": "#/components/schemas/Task_task_description_predictions_feature" + } + }, + "format": { + "description": "The fromat of the predictions, e.g. ARFF", + "type": "string" + } + }, + "type": "object" + }, + "inline_response_200_15_flow_tag": { + "properties": { + "id": { + "description": "ID of the tagged setup", + "type": "string" + } + }, + "type": "object" + }, + "Setup_setup_parameters": { + "properties": { + "parameter_setting": { + "type": "array", + "items": { + "$ref": "#/components/schemas/Setup_setup_parameters_parameter_setting" + } + }, + "flow_id": { + "description": "ID of the flow, a positive integer", + "type": "string" + } + }, + "type": "object" + }, + "DataList": { + "properties": { + "data": { + "$ref": "#/components/schemas/DataList_data" + } + }, + "type": "object" + }, + "inline_response_200_26_study_attach": { + "properties": { + "linked_entities": { + "description": "The number of linked entities", + "type": "string" + }, + "main_entity_type": { + "description": "Main entity type of the of the study", + "type": "string" + }, + "id": { + "description": "ID of the study, a positive integer", + "type": "string" + } + }, + "type": "object" + }, + "inline_response_200_2_data_tag": { + "properties": { + "id": { + "description": "ID of the tagged dataset", + "type": "string" + } + }, + "type": "object" + }, + "inline_response_200_23_upload_flow": { + "properties": { + "id": { + "description": "ID of the run with the trace, a positive integer", + "type": "string" + } + }, + "type": "object" + }, + "EvaluationRequest_evaluation_request": { + "properties": { + "run": { + "$ref": "#/components/schemas/EvaluationRequest_evaluation_request_run" + } + }, + "type": "object" + }, + "Run": { + "properties": { + "run_description": { + "$ref": "#/components/schemas/Run_run_description" + } + }, + "type": "object" + }, + "inline_response_200_6_task_tag": { + "properties": { + "id": { + "description": "ID of the tagged task", + "type": "string" + } + }, + "type": "object" + }, + "RunList": { + "properties": { + "runs": { + "$ref": "#/components/schemas/RunList_runs" + } + }, + "type": "object" + }, + "inline_response_200_17_data_delete": { + "properties": { + "id": { + "description": "ID of the deleted run, a positive integer", + "type": "string" + } + }, + "type": "object" + }, + "Task_task_description_input": { + "properties": { + "data_set": { + "$ref": "#/components/schemas/Task_task_description_data_set" + }, + "cost_matrix": { + "description": "The cost matrix, indicating the costs for each type of misclassification", + "type": "array", + "items": { + "type": "array", + "items": { + "type": "integer", + "format": "int64" + } + } + }, + "name": { + "description": "The name of the input, e.g. source_data", + "type": "string" + }, + "evaluation_measures": { + "$ref": "#/components/schemas/Task_task_description_evaluation_measures" + }, + "estimation_procedure": { + "$ref": "#/components/schemas/Task_task_description_estimation_procedure" + } + }, + "type": "object" + }, + "UserList": { + "properties": { + "users": { + "$ref": "#/components/schemas/UserList_users" + } + }, + "type": "object" + }, + "Study_study_runs": { + "properties": { + "run_id": { + "type": "array", + "items": { + "type": "string" + } + } + }, + "type": "object" + }, + "DataFeatures_data_features_feature": { + "properties": { + "index": { + "description": "Feature index", + "type": "string" + }, + "name": { + "description": "Feature name", + "type": "string" + }, + "data_type": { + "description": "Feature data type", + "type": "string" + }, + "is_target": { + "description": "Whether this feature is seen as a target feature", + "type": "string" + }, + "is_ignore": { + "description": "Whether this feature should be ignored in modelling (e.g. every value is unique)", + "type": "string" + }, + "is_row_identifier": { + "description": "Whether this feature is a row identifier", + "type": "string" + } + }, + "type": "object" + }, + "inline_response_200_21_upload_flow": { + "properties": { + "id": { + "description": "ID of the evaluated run, a positive integer", + "type": "string" + } + }, + "type": "object" + }, + "TaskType": { + "properties": { + "description": { + "description": "A description of the task type", + "type": "string" + }, + "date": { + "description": "The date when the task type was created", + "type": "string" + }, + "output": { + "type": "array", + "items": { + "$ref": "#/components/schemas/TaskType_output" + } + }, + "contributor": { + "type": "array", + "items": { + "type": "string" + } + }, + "input": { + "type": "array", + "items": { + "$ref": "#/components/schemas/TaskType_input" + } + }, + "id": { + "description": "ID of the task type, a positive integer", + "type": "string" + }, + "name": { + "description": "The name of the task type, e.g. Supervised Classification", + "type": "string" + } + }, + "type": "object" + }, + "Run_run_description_output_data_file": { + "properties": { + "did": { + "description": "The id of the uploaded file", + "type": "string" + }, + "file_id": { + "description": "The reference id of the uploaded file, for downloading afterward", + "type": "string" + }, + "name": { + "description": "The name of the uploaded file (e.g., description, predictions, model,...)", + "type": "string" + } + }, + "type": "object" + }, + "TaskType_input": { + "properties": { + "data_set": { + "$ref": "#/components/schemas/Task_task_description_data_set" + }, + "cost_matrix": { + "type": "array", + "items": { + "type": "array", + "items": { + "type": "integer", + "format": "int64" + } + } + }, + "name": { + "description": "The name of the input, e.g. source_data", + "type": "string" + }, + "evaluation_measures": { + "$ref": "#/components/schemas/Task_task_description_evaluation_measures" + }, + "estimation_procedure": { + "$ref": "#/components/schemas/Task_task_description_estimation_procedure" + } + }, + "type": "object" + }, + "Run_run_description_output_data": { + "properties": { + "evaluation": { + "type": "array", + "items": { + "$ref": "#/components/schemas/Run_run_description_output_data_evaluation" + } + }, + "file": { + "type": "array", + "items": { + "$ref": "#/components/schemas/Run_run_description_output_data_file" + } + } + }, + "type": "object" + }, + "inline_response_200_3_data_untag": { + "properties": { + "id": { + "description": "ID of the untagged dataset", + "type": "string" + } + }, + "type": "object" + }, + "Task_task_description_output": { + "properties": { + "name": { + "description": "The name of the output, e.g. predictions", + "type": "string" + }, + "predictions": { + "$ref": "#/components/schemas/Task_task_description_predictions" + } + }, + "type": "object" + }, + "DataQualityList": { + "properties": { + "data_qualities_list": { + "$ref": "#/components/schemas/DataQualityList_data_qualities_list" + } + }, + "type": "object" + }, + "DataUnprocessed_data_unprocessed": { + "properties": { + "dataset": { + "$ref": "#/components/schemas/DataUnprocessed_data_unprocessed_dataset" + } + }, + "type": "object" + }, + "Study": { + "properties": { + "study": { + "$ref": "#/components/schemas/Study_study" + } + }, + "type": "object" + }, + "DataList_data": { + "properties": { + "dataset": { + "type": "array", + "items": { + "$ref": "#/components/schemas/DataList_data_dataset" + } + } + }, + "type": "object" + }, + "UserList_users_user": { + "properties": { + "username": { + "description": "The full user name", + "type": "string" + }, + "id": { + "description": "The user ID", + "type": "string" + } + }, + "type": "object" + }, + "TaskType_output": { + "properties": { + "name": { + "description": "The name of the output, e.g. predictions", + "type": "string" + }, + "predictions": { + "$ref": "#/components/schemas/TaskType_predictions" + } + }, + "type": "object" + }, + "RunList_runs_run": { + "properties": { + "task_id": { + "description": "The ID of the task solved by this run", + "type": "string" + }, + "run_id": { + "description": "The run ID", + "type": "string" + }, + "error_message": { + "description": "Error message generated by the run (if any)", + "type": "string" + }, + "setup_id": { + "description": "Ignore (internal representation of the parameter setting)", + "type": "string" + }, + "uploader": { + "description": "The ID of the person uploading this run", + "type": "string" + }, + "flow_id": { + "description": "The ID of the flow used in this run", + "type": "string" + } + }, + "type": "object" + }, + "DataFeatures_data_features": { + "properties": { + "feature": { + "type": "array", + "items": { + "$ref": "#/components/schemas/DataFeatures_data_features_feature" + } + } + }, + "type": "object" + }, + "DataQualities_data_qualities_quality": { + "properties": { + "name": { + "description": "The name of the dataset quality measures", + "type": "string" + }, + "value": { + "description": "The value for this dataset", + "type": "string" + } + }, + "type": "object" + }, + "inline_response_200_12_flow_tag": { + "properties": { + "id": { + "description": "ID of the tagged flow", + "type": "string" + } + }, + "type": "object" + }, + "inline_response_200_8_flow_delete": { + "properties": { + "id": { + "description": "ID of the deleted flow, a positive integer", + "type": "string" + } + }, + "type": "object" + }, + "DataQualities_data_qualities": { + "properties": { + "quality": { + "type": "array", + "items": { + "$ref": "#/components/schemas/DataQualities_data_qualities_quality" + } + } + }, + "type": "object" + }, + "EvaluationRequest": { + "properties": { + "evaluation_request": { + "$ref": "#/components/schemas/EvaluationRequest_evaluation_request" + } + }, + "type": "object" + }, + "inline_response_200_18_upload_flow": { + "properties": { + "id": { + "description": "ID of the uploaded run, a positive integer", + "type": "string" + } + }, + "type": "object" + }, + "SetupList": { + "properties": { + "setups": { + "$ref": "#/components/schemas/SetupList_setups" + } + }, + "type": "object" + }, + "TaskList": { + "properties": { + "task": { + "$ref": "#/components/schemas/TaskList_task" + } + }, + "type": "object" + }, + "inline_response_200_4_task_delete": { + "properties": { + "id": { + "description": "ID of the deleted task, a positive integer", + "type": "string" + } + }, + "type": "object" + }, + "Task_task_description_data_set": { + "properties": { + "data_set_id": { + "description": "The id of the dataset", + "type": "string" + }, + "target_feature": { + "description": "The name of the target feature for this task", + "type": "string" + } + }, + "type": "object" + }, + "EvaluationList": { + "properties": { + "evaluations": { + "$ref": "#/components/schemas/EvaluationList_evaluations" + } + }, + "type": "object" + }, + "Run_run_description": { + "properties": { + "setup_string": { + "description": "Configuration of the flow as a string, to be interpreted by the flow, its library, or command line interface.", + "type": "string" + }, + "task_type": { + "description": "The type of task solved by this run (e.g., classification)", + "type": "string" + }, + "task_id": { + "description": "The id of the task solved by this run", + "type": "string" + }, + "task_evaluation_measure": { + "description": "The evaluation measure that is supposed to be optimized in the task, if any", + "type": "string" + }, + "uploader_name": { + "description": "The name of the uploader of the run", + "type": "string" + }, + "input_data": { + "$ref": "#/components/schemas/Run_run_description_input_data" + }, + "tag": { + "description": "Tags added by OpenML users. Includes study tags in the form `study_1`", + "type": "array", + "items": { + "type": "string" + } + }, + "output_data": { + "$ref": "#/components/schemas/Run_run_description_output_data" + }, + "uploader": { + "description": "The uploader of the run", + "type": "string" + }, + "flow_id": { + "description": "The id of the flow used in this run", + "type": "string" + }, + "flow_name": { + "description": "The name of the flow used in this run", + "type": "string" + }, + "id": { + "description": "ID of the run, a positive integer", + "type": "string" + }, + "parameter_setting": { + "type": "array", + "items": { + "$ref": "#/components/schemas/Run_run_description_parameter_setting" + } + } + }, + "type": "object" + }, + "FlowList": { + "properties": { + "flows": { + "$ref": "#/components/schemas/FlowList_flows" + } + }, + "type": "object" + }, + "inline_response_200_19_run_tag": { + "properties": { + "id": { + "description": "ID of the tagged run", + "type": "string" + } + }, + "type": "object" + }, + "Study_study_data": { + "properties": { + "data_id": { + "type": "array", + "items": { + "type": "string" + } + } + }, + "type": "object" + }, + "inline_response_200_data_delete": { + "properties": { + "id": { + "description": "ID of the deleted dataset, a positive integer", + "type": "string" + } + }, + "type": "object" + }, + "RunTrace_trace": { + "properties": { + "trace_iteration": { + "type": "array", + "items": { + "$ref": "#/components/schemas/RunTrace_trace_trace_iteration" + } + }, + "run_id": { + "description": "run ID", + "type": "string" + } + }, + "type": "object" + }, + "inline_response_200_7_task_untag": { + "properties": { + "id": { + "description": "ID of the untagged task", + "type": "string" + } + }, + "type": "object" + }, + "Data": { + "properties": { + "data_set_description": { + "$ref": "#/components/schemas/Data_data_set_description" + } + }, + "type": "object" + }, + "Task_task_description_evaluation_measures": { + "properties": { + "evaluation_measure": { + "description": "The evaluation measure to optimize in this task", + "type": "string" + } + }, + "type": "object" + }, + "SetupList_setups_parameter": { + "properties": { + "default_value": { + "description": "The parameter's default value", + "type": "string" + }, + "data_type": { + "description": "The parameter's data type", + "type": "string" + }, + "value": { + "description": "The parameter value in this setup", + "type": "string" + }, + "parameter_name": { + "description": "The parameter's short name", + "type": "string" + }, + "full_name": { + "description": "The parameter's full name", + "type": "string" + }, + "flow_id": { + "description": "The (sub)flow ID", + "type": "string" + }, + "flow_name": { + "description": "The (sub)flow name", + "type": "string" + }, + "id": { + "description": "The parameter ID", + "type": "string" + } + }, + "type": "object" + }, + "TaskList_task_input": { + "properties": { + "name": { + "description": "The name of the input", + "type": "string" + }, + "value": { + "description": "The value of the input", + "type": "string" + } + }, + "type": "object" + }, + "StudyList_study_list": { + "properties": { + "study": { + "type": "array", + "items": { + "$ref": "#/components/schemas/StudyList_study_list_study" + } + } + }, + "type": "object" + }, + "Study_study_tag": { + "properties": { + "write_access": { + "description": "The write access level of the study (e.g. public)", + "type": "string" + }, + "name": { + "description": "The name of the study (e.g. study_1)", + "type": "string" + } + }, + "type": "object" + }, + "Flow": { + "properties": { + "flow_description": { + "$ref": "#/components/schemas/Flow_flow_description" + } + }, + "type": "object" + }, + "Run_run_description_parameter_setting": { + "properties": { + "name": { + "description": "The name of the parameter", + "type": "string" + }, + "value": { + "description": "The value of the parameter used", + "type": "string" + } + }, + "type": "object" + }, + "EvaluationRequest_evaluation_request_run": { + "properties": { + "setup_id": { + "description": "ID of the setup, a positive integer", + "type": "string" + }, + "upload_time": { + "description": "The datetime that the dataset was uploaded, format yyyy-MM-dd HH:mm:ss", + "type": "string" + }, + "uploader": { + "description": "ID of the uploader, a positive integer", + "type": "string" + }, + "task_id": { + "description": "ID of the task, a positive integer", + "type": "string" + }, + "run_id": { + "description": "ID of the run, a positive integer", + "type": "string" + } + }, + "type": "object" + }, + "Error": { + "properties": { + "message": { + "type": "string" + }, + "code": { + "type": "integer" + }, + "additional_message": { + "type": "string" + } + }, + "type": "object" + }, + "EstimationProcedureList_estimationprocedures_estimationprocedure": { + "properties": { + "name": { + "description": "The estimation procedure name, e.g. '10 fold Crossvalidation'", + "type": "string" + }, + "folds": { + "description": "The number of cross-validation folds, e.g. '10'", + "type": "string" + }, + "stratified_sampling": { + "description": "Whether or not the sampling is stratified, 'true' or 'false'", + "type": "string" + }, + "ttid": { + "description": "The task type ID", + "type": "string" + }, + "repeats": { + "description": "The number of repeats, e.g. '10'", + "type": "string" + }, + "type": { + "description": "The estimation procedure type, e.g. 'crossvalidation'", + "type": "string" + }, + "id": { + "description": "The estimation procedure ID", + "type": "string" + } + }, + "type": "object" + }, + "TaskTypeList_task_types": { + "properties": { + "task_type": { + "type": "array", + "items": { + "$ref": "#/components/schemas/TaskTypeList_task_types_task_type" + } + } + }, + "type": "object" + }, + "TaskList_task_task": { + "properties": { + "status": { + "description": "The status of the source dataset, active, in_preparation, or deactivated", + "type": "string" + }, + "task_type": { + "description": "The type of task (e.g. Supervised Classificationr)", + "type": "string" + }, + "name": { + "description": "The name of the source dataset", + "type": "string" + }, + "task_id": { + "description": "The ID of the task", + "type": "string" + }, + "format": { + "description": "The format of the source dataset", + "type": "string" + }, + "did": { + "description": "The id of the source dataset", + "type": "string" + }, + "tag": { + "type": "array", + "items": { + "type": "string" + } + }, + "input": { + "type": "array", + "items": { + "$ref": "#/components/schemas/TaskList_task_input" + } + }, + "quality": { + "type": "array", + "items": { + "$ref": "#/components/schemas/TaskList_task_quality" + } + } + }, + "type": "object" + }, + "inline_response_200_20_run_untag": { + "properties": { + "id": { + "description": "ID of the untagged run", + "type": "string" + } + }, + "type": "object" + }, + "StudyList": { + "properties": { + "study_list": { + "$ref": "#/components/schemas/StudyList_study_list" + } + }, + "type": "object" + }, + "Study_study": { + "properties": { + "runs": { + "$ref": "#/components/schemas/Study_study_runs" + }, + "tasks": { + "$ref": "#/components/schemas/Study_study_tasks" + }, + "name": { + "description": "The name of the study", + "type": "string" + }, + "creator": { + "description": "A comma-separated list of the study creators", + "type": "string" + }, + "flows": { + "$ref": "#/components/schemas/Study_study_flows" + }, + "creation_date": { + "description": "The datetime that the dataset was uploaded, format yyyy-MM-dd HH:mm:ss", + "type": "string" + }, + "alias": { + "description": "The alias of the study", + "type": "string" + }, + "tag": { + "$ref": "#/components/schemas/Study_study_tag" + }, + "main_entity_type": { + "description": "The type of entity collected in the study (e.g. task or run)", + "type": "string" + }, + "data": { + "$ref": "#/components/schemas/Study_study_data" + }, + "id": { + "description": "The ID of the study", + "type": "string" + } + }, + "type": "object" + }, + "inline_response_200_25_upload_study": { + "properties": { + "id": { + "description": "ID of the uploaded study, a positive integer", + "type": "string" + } + }, + "type": "object" + }, + "EvaluationList_evaluations_evaluation": { + "properties": { + "function": { + "description": "The name of the evaluation function", + "type": "string" + }, + "task_id": { + "description": "The ID of the tasks solved by this run", + "type": "string" + }, + "run_id": { + "description": "The run ID", + "type": "string" + }, + "array_data": { + "description": "For structured evaluation measures, an array of evaluation values (e.g. per-class predictions, evaluation matrices,...)", + "type": "string" + }, + "value": { + "description": "The outcome of the evaluation", + "type": "string" + }, + "flow_id": { + "description": "The ID of the flow used by this run", + "type": "string" + } + }, + "type": "object" + }, + "EstimationProcedureList": { + "properties": { + "estimationprocedures": { + "$ref": "#/components/schemas/EstimationProcedureList_estimationprocedures" + } + }, + "type": "object" + }, + "DataQualityList_data_qualities_list": { + "properties": { + "quality": { + "type": "array", + "items": { + "type": "string" + } + } + }, + "type": "object" + }, + "Study_study_flows": { + "properties": { + "flow_id": { + "type": "array", + "items": { + "type": "string" + } + } + }, + "type": "object" + }, + "StudyList_study_list_study": { + "properties": { + "alias": { + "description": "The alias of the study", + "type": "string" + }, + "creation_date": { + "description": "The datetime that the dataset was uploaded, format yyyy-MM-dd HH:mm:ss", + "type": "string" + }, + "creator": { + "description": "A comma-separated list of the study creators", + "type": "string" + }, + "id": { + "description": "The ID of the study", + "type": "string" + }, + "name": { + "description": "The name of the study", + "type": "string" + } + }, + "type": "object" + }, + "Run_run_description_input_data": { + "properties": { + "dataset": { + "$ref": "#/components/schemas/Run_run_description_input_data_dataset" + } + }, + "type": "object" + }, + "TaskTypeList_task_types_task_type": { + "properties": { + "description": { + "description": "A description of the task type", + "type": "string" + }, + "creator": { + "description": "A comma-separated list of the task type creators", + "type": "string" + }, + "id": { + "description": "The ID of the task type", + "type": "string" + }, + "name": { + "description": "The name of the task type", + "type": "string" + } + }, + "type": "object" + }, + "EvaluationMeasureList_evaluation_measures": { + "properties": { + "measures": { + "$ref": "#/components/schemas/EvaluationMeasureList_evaluation_measures_measures" + } + }, + "type": "object" + }, + "TaskType_predictions": { + "properties": { + "feature": { + "type": "array", + "items": { + "$ref": "#/components/schemas/Task_task_description_predictions_feature" + } + }, + "format": { + "description": "The format of the predictions, e.g. ARFF", + "type": "string" + } + }, + "type": "object" + }, + "Flow_flow_description_parameter": { + "properties": { + "default_value": { + "description": "The default value of the parameter", + "type": "string" + }, + "name": { + "description": "The name of the parameter", + "type": "string" + }, + "data_type": { + "description": "The data type of the parameter", + "type": "string" + }, + "description": { + "description": "A description of the parameter", + "type": "string" + } + }, + "type": "object" + }, + "RunTrace_trace_trace_iteration": { + "properties": { + "setup_string": { + "description": "A JSON representation of the setup (configuration)", + "type": "string" + }, + "repeat": { + "description": "The number of the repeat in the outer cross-valudation", + "type": "string" + }, + "selected": { + "description": "Whether this setup was selected as the best one (true or false)", + "type": "string" + }, + "iteration": { + "description": "A number of the optimization iteration", + "type": "string" + }, + "fold": { + "description": "The number of the fold in the inner cross-validation", + "type": "string" + }, + "evaluation": { + "description": "The evaluation score of the setup", + "type": "string" + } + }, + "type": "object" + }, + "EvaluationMeasureList": { + "properties": { + "evaluation_measures": { + "$ref": "#/components/schemas/EvaluationMeasureList_evaluation_measures" + } + }, + "type": "object" + }, + "SetupList_setups": { + "properties": { + "setup": { + "type": "array", + "items": { + "$ref": "#/components/schemas/SetupList_setups_setup" + } + } + }, + "type": "object" + }, + "TaskList_task": { + "properties": { + "task": { + "type": "array", + "items": { + "$ref": "#/components/schemas/TaskList_task_task" + } + } + }, + "type": "object" + }, + "SetupList_setups_setup": { + "properties": { + "setup_id": { + "description": "The setup ID", + "type": "string" + }, + "parameter": { + "type": "array", + "items": { + "$ref": "#/components/schemas/SetupList_setups_parameter" + } + }, + "flow_id": { + "description": "The ID of the flow used by this run", + "type": "string" + } + }, + "type": "object" + }, + "Task_task_description_estimation_procedure_parameter": { + "properties": { + "name": { + "description": "The name of the parameter", + "type": "string" + }, + "value": { + "description": "The value of the parameter", + "type": "string" + } + }, + "type": "object" + }, + "RunList_runs": { + "properties": { + "run": { + "type": "array", + "items": { + "$ref": "#/components/schemas/RunList_runs_run" + } + } + }, + "type": "object" + }, + "Study_study_tasks": { + "properties": { + "task_id": { + "type": "array", + "items": { + "type": "string" + } + } + }, + "type": "object" + }, + "inline_response_200_1_upload_data_set": { + "properties": { + "id": { + "description": "ID of the uploaded dataset, a positive integer", + "type": "string" + } + }, + "type": "object" + }, + "Setup_setup_parameters_parameter_setting": { + "properties": { + "default_value": { + "description": "The default value of the parameter used", + "type": "string" + }, + "value": { + "description": "The value of the parameter used", + "type": "string" + }, + "data_type": { + "description": "The data type of the hyperparameter value", + "type": "string" + }, + "full_name": { + "description": "The full name of the hyperparameter", + "type": "string" + }, + "parameter_name": { + "description": "The short name of the hyperparameter", + "type": "string" + } + }, + "type": "object" + }, + "DataQualities": { + "properties": { + "data_qualities": { + "$ref": "#/components/schemas/DataQualities_data_qualities" + } + }, + "type": "object" + } } + } } diff --git a/server/src/client/app/public/theme-material.css b/server/src/client/app/public/theme-material.css index c2ed5abe..aa6809fa 100644 --- a/server/src/client/app/public/theme-material.css +++ b/server/src/client/app/public/theme-material.css @@ -1,21 +1,23 @@ .swagger-ui html { - box-sizing: border-box + box-sizing: border-box; } -.swagger-ui *, .swagger-ui :after, .swagger-ui :before { - box-sizing: inherit +.swagger-ui *, +.swagger-ui :after, +.swagger-ui :before { + box-sizing: inherit; } .swagger-ui body { margin: 0; - background: #fafafa + background: #fafafa; } .swagger-ui .wrapper { width: 100%; max-width: 1460px; margin: 0 auto; - padding: 0 20px + padding: 0 20px; } .swagger-ui .opblock-tag-section { @@ -25,7 +27,7 @@ -webkit-box-orient: vertical; -webkit-box-direction: normal; -ms-flex-direction: column; - flex-direction: column + flex-direction: column; } .swagger-ui .opblock-tag { @@ -34,34 +36,36 @@ display: flex; padding: 10px 20px 10px 10px; cursor: pointer; - -webkit-transition: all .2s; - transition: all .2s; - border-bottom: 1px solid rgba(59, 65, 81, .3); + -webkit-transition: all 0.2s; + transition: all 0.2s; + border-bottom: 1px solid rgba(59, 65, 81, 0.3); -webkit-box-align: center; -ms-flex-align: center; - align-items: center + align-items: center; } .swagger-ui .opblock-tag:hover { - background: rgba(0, 0, 0, .02) + background: rgba(0, 0, 0, 0.02); } .swagger-ui .opblock-tag { font-size: 24px; margin: 0 0 5px; - font-family: Titillium Web, sans-serif; - color: #3b4151 + font-family: + Titillium Web, + sans-serif; + color: #3b4151; } .swagger-ui .opblock-tag.no-desc span { -webkit-box-flex: 1; -ms-flex: 1; - flex: 1 + flex: 1; } .swagger-ui .opblock-tag svg { - -webkit-transition: all .4s; - transition: all .4s + -webkit-transition: all 0.4s; + transition: all 0.4s; } .swagger-ui .opblock-tag small { @@ -71,16 +75,20 @@ -webkit-box-flex: 1; -ms-flex: 1; flex: 1; - font-family: Open Sans, sans-serif; - color: #3b4151 + font-family: + Open Sans, + sans-serif; + color: #3b4151; } .swagger-ui .parĐ°meter__type { font-size: 12px; padding: 5px 0; - font-family: Source Code Pro, monospace; + font-family: + Source Code Pro, + monospace; font-weight: 600; - color: #3b4151 + color: #3b4151; } .swagger-ui .view-line-link { @@ -89,46 +97,49 @@ width: 20px; margin: 0 5px; cursor: pointer; - -webkit-transition: all .5s; - transition: all .5s + -webkit-transition: all 0.5s; + transition: all 0.5s; } .swagger-ui .opblock { margin: 0 0 15px; border: 1px solid #000; border-radius: 4px; - box-shadow: 0 0 3px rgba(0, 0, 0, .19) + box-shadow: 0 0 3px rgba(0, 0, 0, 0.19); } .swagger-ui .opblock.is-open .opblock-summary { - border-bottom: 1px solid #000 + border-bottom: 1px solid #000; } .swagger-ui .opblock .opblock-section-header { padding: 8px 20px; - background: hsla(0, 0%, 100%, .8); - box-shadow: 0 1px 2px rgba(0, 0, 0, .1) + background: hsla(0, 0%, 100%, 0.8); + box-shadow: 0 1px 2px rgba(0, 0, 0, 0.1); } -.swagger-ui .opblock .opblock-section-header, .swagger-ui .opblock .opblock-section-header label { +.swagger-ui .opblock .opblock-section-header, +.swagger-ui .opblock .opblock-section-header label { display: -webkit-box; display: -ms-flexbox; display: flex; -webkit-box-align: center; -ms-flex-align: center; - align-items: center + align-items: center; } .swagger-ui .opblock .opblock-section-header label { font-size: 12px; font-weight: 700; margin: 0; - font-family: Titillium Web, sans-serif; - color: #3b4151 + font-family: + Titillium Web, + sans-serif; + color: #3b4151; } .swagger-ui .opblock .opblock-section-header label span { - padding: 0 10px 0 0 + padding: 0 10px 0 0; } .swagger-ui .opblock .opblock-section-header h4 { @@ -137,8 +148,10 @@ -webkit-box-flex: 1; -ms-flex: 1; flex: 1; - font-family: Titillium Web, sans-serif; - color: #3b4151 + font-family: + Titillium Web, + sans-serif; + color: #3b4151; } .swagger-ui .opblock .opblock-summary-method { @@ -149,42 +162,49 @@ text-align: center; border-radius: 3px; background: #000; - text-shadow: 0 1px 0 rgba(0, 0, 0, .1); - font-family: Titillium Web, sans-serif; - color: #fff + text-shadow: 0 1px 0 rgba(0, 0, 0, 0.1); + font-family: + Titillium Web, + sans-serif; + color: #fff; } -.swagger-ui .opblock .opblock-summary-path, .swagger-ui .opblock .opblock-summary-path__deprecated { +.swagger-ui .opblock .opblock-summary-path, +.swagger-ui .opblock .opblock-summary-path__deprecated { font-size: 16px; display: -webkit-box; display: -ms-flexbox; display: flex; padding: 0 10px; - font-family: Source Code Pro, monospace; + font-family: + Source Code Pro, + monospace; font-weight: 600; color: #3b4151; -webkit-box-align: center; -ms-flex-align: center; - align-items: center + align-items: center; } -.swagger-ui .opblock .opblock-summary-path .view-line-link, .swagger-ui .opblock .opblock-summary-path__deprecated .view-line-link { +.swagger-ui .opblock .opblock-summary-path .view-line-link, +.swagger-ui .opblock .opblock-summary-path__deprecated .view-line-link { position: relative; top: 2px; width: 0; margin: 0; cursor: pointer; - -webkit-transition: all .5s; - transition: all .5s + -webkit-transition: all 0.5s; + transition: all 0.5s; } -.swagger-ui .opblock .opblock-summary-path:hover .view-line-link, .swagger-ui .opblock .opblock-summary-path__deprecated:hover .view-line-link { +.swagger-ui .opblock .opblock-summary-path:hover .view-line-link, +.swagger-ui .opblock .opblock-summary-path__deprecated:hover .view-line-link { width: 18px; - margin: 0 5px + margin: 0 5px; } .swagger-ui .opblock .opblock-summary-path__deprecated { - text-decoration: line-through + text-decoration: line-through; } .swagger-ui .opblock .opblock-summary-description { @@ -192,8 +212,10 @@ -webkit-box-flex: 1; -ms-flex: 1; flex: 1; - font-family: Open Sans, sans-serif; - color: #3b4151 + font-family: + Open Sans, + sans-serif; + color: #3b4151; } .swagger-ui .opblock .opblock-summary { @@ -204,112 +226,112 @@ cursor: pointer; -webkit-box-align: center; -ms-flex-align: center; - align-items: center + align-items: center; } .swagger-ui .opblock.opblock-post { border-color: #49cc90; - background: rgba(73, 204, 144, .1) + background: rgba(73, 204, 144, 0.1); } .swagger-ui .opblock.opblock-post .opblock-summary-method { - background: #49cc90 + background: #49cc90; } .swagger-ui .opblock.opblock-post .opblock-summary { - border-color: #49cc90 + border-color: #49cc90; } .swagger-ui .opblock.opblock-put { border-color: #fca130; - background: rgba(252, 161, 48, .1) + background: rgba(252, 161, 48, 0.1); } .swagger-ui .opblock.opblock-put .opblock-summary-method { - background: #fca130 + background: #fca130; } .swagger-ui .opblock.opblock-put .opblock-summary { - border-color: #fca130 + border-color: #fca130; } .swagger-ui .opblock.opblock-delete { border-color: #f93e3e; - background: rgba(249, 62, 62, .1) + background: rgba(249, 62, 62, 0.1); } .swagger-ui .opblock.opblock-delete .opblock-summary-method { - background: #f93e3e + background: #f93e3e; } .swagger-ui .opblock.opblock-delete .opblock-summary { - border-color: #f93e3e + border-color: #f93e3e; } .swagger-ui .opblock.opblock-get { border-color: #61affe; - background: rgba(97, 175, 254, .1) + background: rgba(97, 175, 254, 0.1); } .swagger-ui .opblock.opblock-get .opblock-summary-method { - background: #61affe + background: #61affe; } .swagger-ui .opblock.opblock-get .opblock-summary { - border-color: #61affe + border-color: #61affe; } .swagger-ui .opblock.opblock-patch { border-color: #50e3c2; - background: rgba(80, 227, 194, .1) + background: rgba(80, 227, 194, 0.1); } .swagger-ui .opblock.opblock-patch .opblock-summary-method { - background: #50e3c2 + background: #50e3c2; } .swagger-ui .opblock.opblock-patch .opblock-summary { - border-color: #50e3c2 + border-color: #50e3c2; } .swagger-ui .opblock.opblock-head { border-color: #9012fe; - background: rgba(144, 18, 254, .1) + background: rgba(144, 18, 254, 0.1); } .swagger-ui .opblock.opblock-head .opblock-summary-method { - background: #9012fe + background: #9012fe; } .swagger-ui .opblock.opblock-head .opblock-summary { - border-color: #9012fe + border-color: #9012fe; } .swagger-ui .opblock.opblock-options { border-color: #0d5aa7; - background: rgba(13, 90, 167, .1) + background: rgba(13, 90, 167, 0.1); } .swagger-ui .opblock.opblock-options .opblock-summary-method { - background: #0d5aa7 + background: #0d5aa7; } .swagger-ui .opblock.opblock-options .opblock-summary { - border-color: #0d5aa7 + border-color: #0d5aa7; } .swagger-ui .opblock.opblock-deprecated { - opacity: .6; + opacity: 0.6; border-color: #ebebeb; - background: hsla(0, 0%, 92%, .1) + background: hsla(0, 0%, 92%, 0.1); } .swagger-ui .opblock.opblock-deprecated .opblock-summary-method { - background: #ebebeb + background: #ebebeb; } .swagger-ui .opblock.opblock-deprecated .opblock-summary { - border-color: #ebebeb + border-color: #ebebeb; } .swagger-ui .tab { @@ -318,7 +340,7 @@ display: flex; margin: 20px 0 10px; padding: 0; - list-style: none + list-style: none; } .swagger-ui .tab li { @@ -327,13 +349,15 @@ min-width: 90px; padding: 0; cursor: pointer; - font-family: Titillium Web, sans-serif; - color: #3b4151 + font-family: + Titillium Web, + sans-serif; + color: #3b4151; } .swagger-ui .tab li:first-of-type { position: relative; - padding-left: 0 + padding-left: 0; } .swagger-ui .tab li:first-of-type:after { @@ -343,39 +367,48 @@ width: 1px; height: 100%; content: ""; - background: rgba(0, 0, 0, .2) + background: rgba(0, 0, 0, 0.2); } .swagger-ui .tab li.active { - font-weight: 700 + font-weight: 700; } -.swagger-ui .opblock-description-wrapper, .swagger-ui .opblock-title_normal { - padding: 15px 20px +.swagger-ui .opblock-description-wrapper, +.swagger-ui .opblock-title_normal { + padding: 15px 20px; } -.swagger-ui .opblock-description-wrapper, .swagger-ui .opblock-description-wrapper h4, .swagger-ui .opblock-title_normal, .swagger-ui .opblock-title_normal h4 { +.swagger-ui .opblock-description-wrapper, +.swagger-ui .opblock-description-wrapper h4, +.swagger-ui .opblock-title_normal, +.swagger-ui .opblock-title_normal h4 { font-size: 12px; margin: 0 0 5px; - font-family: Open Sans, sans-serif; - color: #3b4151 + font-family: + Open Sans, + sans-serif; + color: #3b4151; } -.swagger-ui .opblock-description-wrapper p, .swagger-ui .opblock-title_normal p { +.swagger-ui .opblock-description-wrapper p, +.swagger-ui .opblock-title_normal p { font-size: 14px; margin: 0; - font-family: Open Sans, sans-serif; - color: #3b4151 + font-family: + Open Sans, + sans-serif; + color: #3b4151; } .swagger-ui .execute-wrapper { padding: 20px; - text-align: right + text-align: right; } .swagger-ui .execute-wrapper .btn { width: 100%; - padding: 8px 40px + padding: 8px 40px; } .swagger-ui .body-param-options { @@ -385,43 +418,50 @@ -webkit-box-orient: vertical; -webkit-box-direction: normal; -ms-flex-direction: column; - flex-direction: column + flex-direction: column; } .swagger-ui .body-param-options .body-param-edit { - padding: 10px 0 + padding: 10px 0; } .swagger-ui .body-param-options label { - padding: 8px 0 + padding: 8px 0; } .swagger-ui .body-param-options label select { - margin: 3px 0 0 + margin: 3px 0 0; } .swagger-ui .responses-inner { - padding: 20px + padding: 20px; } -.swagger-ui .responses-inner h4, .swagger-ui .responses-inner h5 { +.swagger-ui .responses-inner h4, +.swagger-ui .responses-inner h5 { font-size: 12px; margin: 10px 0 5px; - font-family: Open Sans, sans-serif; - color: #3b4151 + font-family: + Open Sans, + sans-serif; + color: #3b4151; } .swagger-ui .response-col_status { font-size: 14px; - font-family: Open Sans, sans-serif; - color: #3b4151 + font-family: + Open Sans, + sans-serif; + color: #3b4151; } .swagger-ui .response-col_status .response-undocumented { font-size: 11px; - font-family: Source Code Pro, monospace; + font-family: + Source Code Pro, + monospace; font-weight: 600; - color: #999 + color: #999; } .swagger-ui .response-col_description__inner span { @@ -432,13 +472,15 @@ padding: 10px; border-radius: 4px; background: #41444e; - font-family: Source Code Pro, monospace; + font-family: + Source Code Pro, + monospace; font-weight: 600; - color: #fff + color: #fff; } .swagger-ui .response-col_description__inner span p { - margin: 0 + margin: 0; } .swagger-ui .opblock-body pre { @@ -448,20 +490,22 @@ white-space: pre-wrap; border-radius: 4px; background: #41444e; - font-family: Source Code Pro, monospace; + font-family: + Source Code Pro, + monospace; font-weight: 600; - color: #fff + color: #fff; } .swagger-ui .opblock-body pre span { - color: #fff!important + color: #fff !important; } .swagger-ui .scheme-container { margin: 0 0 20px; padding: 30px 0; background: #fff; - box-shadow: 0 1px 2px 0 rgba(0, 0, 0, .15) + box-shadow: 0 1px 2px 0 rgba(0, 0, 0, 0.15); } .swagger-ui .scheme-container .schemes { @@ -470,10 +514,10 @@ display: flex; -webkit-box-align: center; -ms-flex-align: center; - align-items: center + align-items: center; } -.swagger-ui .scheme-container .schemes>label { +.swagger-ui .scheme-container .schemes > label { font-size: 12px; font-weight: 700; display: -webkit-box; @@ -484,21 +528,23 @@ -ms-flex-direction: column; flex-direction: column; margin: -20px 15px 0 0; - font-family: Titillium Web, sans-serif; - color: #3b4151 + font-family: + Titillium Web, + sans-serif; + color: #3b4151; } -.swagger-ui .scheme-container .schemes>label select { +.swagger-ui .scheme-container .schemes > label select { min-width: 130px; - text-transform: uppercase + text-transform: uppercase; } .swagger-ui .loading-container { - padding: 40px 0 60px + padding: 40px 0 60px; } .swagger-ui .loading-container .loading { - position: relative + position: relative; } .swagger-ui .loading-container .loading:after { @@ -511,8 +557,10 @@ -webkit-transform: translate(-50%, -50%); transform: translate(-50%, -50%); text-transform: uppercase; - font-family: Titillium Web, sans-serif; - color: #3b4151 + font-family: + Titillium Web, + sans-serif; + color: #3b4151; } .swagger-ui .loading-container .loading:before { @@ -524,39 +572,43 @@ height: 60px; margin: -30px; content: ""; - -webkit-animation: rotation 1s infinite linear, opacity .5s; - animation: rotation 1s infinite linear, opacity .5s; + -webkit-animation: + rotation 1s infinite linear, + opacity 0.5s; + animation: + rotation 1s infinite linear, + opacity 0.5s; opacity: 1; - border: 2px solid rgba(85, 85, 85, .1); - border-top-color: rgba(0, 0, 0, .6); + border: 2px solid rgba(85, 85, 85, 0.1); + border-top-color: rgba(0, 0, 0, 0.6); border-radius: 100%; -webkit-backface-visibility: hidden; - backface-visibility: hidden + backface-visibility: hidden; } @-webkit-keyframes rotation { to { -webkit-transform: rotate(1turn); - transform: rotate(1turn) + transform: rotate(1turn); } } @keyframes rotation { to { -webkit-transform: rotate(1turn); - transform: rotate(1turn) + transform: rotate(1turn); } } @-webkit-keyframes blinker { 50% { - opacity: 0 + opacity: 0; } } @keyframes blinker { 50% { - opacity: 0 + opacity: 0; } } @@ -564,67 +616,71 @@ font-size: 14px; font-weight: 700; padding: 5px 23px; - -webkit-transition: all .3s; - transition: all .3s; + -webkit-transition: all 0.3s; + transition: all 0.3s; border: 2px solid #888; border-radius: 4px; background: transparent; - box-shadow: 0 1px 2px rgba(0, 0, 0, .1); - font-family: Titillium Web, sans-serif; - color: #3b4151 + box-shadow: 0 1px 2px rgba(0, 0, 0, 0.1); + font-family: + Titillium Web, + sans-serif; + color: #3b4151; } .swagger-ui .btn[disabled] { cursor: not-allowed; - opacity: .3 + opacity: 0.3; } .swagger-ui .btn:hover { - box-shadow: 0 0 5px rgba(0, 0, 0, .3) + box-shadow: 0 0 5px rgba(0, 0, 0, 0.3); } .swagger-ui .btn.cancel { border-color: #ff6060; - font-family: Titillium Web, sans-serif; - color: #ff6060 + font-family: + Titillium Web, + sans-serif; + color: #ff6060; } .swagger-ui .btn.authorize { line-height: 1; display: inline; color: #49cc90; - border-color: #49cc90 + border-color: #49cc90; } .swagger-ui .btn.authorize span { float: left; - padding: 4px 20px 0 0 + padding: 4px 20px 0 0; } .swagger-ui .btn.authorize svg { - fill: #49cc90 + fill: #49cc90; } .swagger-ui .btn.execute { -webkit-animation: pulse 2s infinite; animation: pulse 2s infinite; color: #fff; - border-color: #4990e2 + border-color: #4990e2; } @-webkit-keyframes pulse { 0% { color: #fff; background: #4990e2; - box-shadow: 0 0 0 0 rgba(73, 144, 226, .8) + box-shadow: 0 0 0 0 rgba(73, 144, 226, 0.8); } 70% { - box-shadow: 0 0 0 5px rgba(73, 144, 226, 0) + box-shadow: 0 0 0 5px rgba(73, 144, 226, 0); } to { color: #fff; background: #4990e2; - box-shadow: 0 0 0 0 rgba(73, 144, 226, 0) + box-shadow: 0 0 0 0 rgba(73, 144, 226, 0); } } @@ -632,15 +688,15 @@ 0% { color: #fff; background: #4990e2; - box-shadow: 0 0 0 0 rgba(73, 144, 226, .8) + box-shadow: 0 0 0 0 rgba(73, 144, 226, 0.8); } 70% { - box-shadow: 0 0 0 5px rgba(73, 144, 226, 0) + box-shadow: 0 0 0 5px rgba(73, 144, 226, 0); } to { color: #fff; background: #4990e2; - box-shadow: 0 0 0 0 rgba(73, 144, 226, 0) + box-shadow: 0 0 0 0 rgba(73, 144, 226, 0); } } @@ -648,64 +704,66 @@ display: -webkit-box; display: -ms-flexbox; display: flex; - padding: 30px + padding: 30px; } .swagger-ui .btn-group .btn { -webkit-box-flex: 1; -ms-flex: 1; - flex: 1 + flex: 1; } .swagger-ui .btn-group .btn:first-child { - border-radius: 4px 0 0 4px + border-radius: 4px 0 0 4px; } .swagger-ui .btn-group .btn:last-child { - border-radius: 0 4px 4px 0 + border-radius: 0 4px 4px 0; } .swagger-ui .authorization__btn { padding: 0 10px; border: none; - background: none + background: none; } .swagger-ui .authorization__btn.locked { - opacity: 1 + opacity: 1; } .swagger-ui .authorization__btn.unlocked { - opacity: .4 + opacity: 0.4; } -.swagger-ui .expand-methods, .swagger-ui .expand-operation { +.swagger-ui .expand-methods, +.swagger-ui .expand-operation { border: none; - background: none + background: none; } -.swagger-ui .expand-methods svg, .swagger-ui .expand-operation svg { +.swagger-ui .expand-methods svg, +.swagger-ui .expand-operation svg { width: 20px; - height: 20px + height: 20px; } .swagger-ui .expand-methods { - padding: 0 10px + padding: 0 10px; } .swagger-ui .expand-methods:hover svg { - fill: #444 + fill: #444; } .swagger-ui .expand-methods svg { - -webkit-transition: all .3s; - transition: all .3s; - fill: #777 + -webkit-transition: all 0.3s; + transition: all 0.3s; + fill: #777; } .swagger-ui button { cursor: pointer; - outline: none + outline: none; } .swagger-ui select { @@ -714,85 +772,107 @@ padding: 5px 40px 5px 10px; border: 2px solid #41444e; border-radius: 4px; - background: #f7f7f7 url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHZpZXdCb3g9IjAgMCAyMCAyMCI+ICAgIDxwYXRoIGQ9Ik0xMy40MTggNy44NTljLjI3MS0uMjY4LjcwOS0uMjY4Ljk3OCAwIC4yNy4yNjguMjcyLjcwMSAwIC45NjlsLTMuOTA4IDMuODNjLS4yNy4yNjgtLjcwNy4yNjgtLjk3OSAwbC0zLjkwOC0zLjgzYy0uMjctLjI2Ny0uMjctLjcwMSAwLS45NjkuMjcxLS4yNjguNzA5LS4yNjguOTc4IDBMMTAgMTFsMy40MTgtMy4xNDF6Ii8+PC9zdmc+) right 10px center no-repeat; + background: #f7f7f7 + url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHZpZXdCb3g9IjAgMCAyMCAyMCI+ICAgIDxwYXRoIGQ9Ik0xMy40MTggNy44NTljLjI3MS0uMjY4LjcwOS0uMjY4Ljk3OCAwIC4yNy4yNjguMjcyLjcwMSAwIC45NjlsLTMuOTA4IDMuODNjLS4yNy4yNjgtLjcwNy4yNjgtLjk3OSAwbC0zLjkwOC0zLjgzYy0uMjctLjI2Ny0uMjctLjcwMSAwLS45NjkuMjcxLS4yNjguNzA5LS4yNjguOTc4IDBMMTAgMTFsMy40MTgtMy4xNDF6Ii8+PC9zdmc+) + right 10px center no-repeat; background-size: 20px; - box-shadow: 0 1px 2px 0 rgba(0, 0, 0, .25); - font-family: Titillium Web, sans-serif; + box-shadow: 0 1px 2px 0 rgba(0, 0, 0, 0.25); + font-family: + Titillium Web, + sans-serif; color: #3b4151; -webkit-appearance: none; -moz-appearance: none; - appearance: none + appearance: none; } .swagger-ui select[multiple] { margin: 5px 0; padding: 5px; - background: #f7f7f7 + background: #f7f7f7; } .swagger-ui .opblock-body select { - min-width: 230px + min-width: 230px; } .swagger-ui label { font-size: 12px; font-weight: 700; margin: 0 0 5px; - font-family: Titillium Web, sans-serif; - color: #3b4151 + font-family: + Titillium Web, + sans-serif; + color: #3b4151; } -.swagger-ui input[type=email], .swagger-ui input[type=password], .swagger-ui input[type=search], .swagger-ui input[type=text] { +.swagger-ui input[type="email"], +.swagger-ui input[type="password"], +.swagger-ui input[type="search"], +.swagger-ui input[type="text"] { min-width: 100px; margin: 5px 0; padding: 8px 10px; border: 1px solid #d9d9d9; border-radius: 4px; - background: #fff + background: #fff; } -.swagger-ui input[type=email].invalid, .swagger-ui input[type=password].invalid, .swagger-ui input[type=search].invalid, .swagger-ui input[type=text].invalid { - -webkit-animation: shake .4s 1; - animation: shake .4s 1; +.swagger-ui input[type="email"].invalid, +.swagger-ui input[type="password"].invalid, +.swagger-ui input[type="search"].invalid, +.swagger-ui input[type="text"].invalid { + -webkit-animation: shake 0.4s 1; + animation: shake 0.4s 1; border-color: #f93e3e; - background: #feebeb + background: #feebeb; } @-webkit-keyframes shake { - 10%, 90% { + 10%, + 90% { -webkit-transform: translate3d(-1px, 0, 0); - transform: translate3d(-1px, 0, 0) + transform: translate3d(-1px, 0, 0); } - 20%, 80% { + 20%, + 80% { -webkit-transform: translate3d(2px, 0, 0); - transform: translate3d(2px, 0, 0) + transform: translate3d(2px, 0, 0); } - 30%, 50%, 70% { + 30%, + 50%, + 70% { -webkit-transform: translate3d(-4px, 0, 0); - transform: translate3d(-4px, 0, 0) + transform: translate3d(-4px, 0, 0); } - 40%, 60% { + 40%, + 60% { -webkit-transform: translate3d(4px, 0, 0); - transform: translate3d(4px, 0, 0) + transform: translate3d(4px, 0, 0); } } @keyframes shake { - 10%, 90% { + 10%, + 90% { -webkit-transform: translate3d(-1px, 0, 0); - transform: translate3d(-1px, 0, 0) + transform: translate3d(-1px, 0, 0); } - 20%, 80% { + 20%, + 80% { -webkit-transform: translate3d(2px, 0, 0); - transform: translate3d(2px, 0, 0) + transform: translate3d(2px, 0, 0); } - 30%, 50%, 70% { + 30%, + 50%, + 70% { -webkit-transform: translate3d(-4px, 0, 0); - transform: translate3d(-4px, 0, 0) + transform: translate3d(-4px, 0, 0); } - 40%, 60% { + 40%, + 60% { -webkit-transform: translate3d(4px, 0, 0); - transform: translate3d(4px, 0, 0) + transform: translate3d(4px, 0, 0); } } @@ -804,14 +884,16 @@ border: none; border-radius: 4px; outline: none; - background: hsla(0, 0%, 100%, .8); - font-family: Source Code Pro, monospace; + background: hsla(0, 0%, 100%, 0.8); + font-family: + Source Code Pro, + monospace; font-weight: 600; - color: #3b4151 + color: #3b4151; } .swagger-ui textarea:focus { - border: 2px solid #61affe + border: 2px solid #61affe; } .swagger-ui textarea.curl { @@ -822,38 +904,42 @@ resize: none; border-radius: 4px; background: #41444e; - font-family: Source Code Pro, monospace; + font-family: + Source Code Pro, + monospace; font-weight: 600; - color: #fff + color: #fff; } .swagger-ui .checkbox { padding: 5px 0 10px; - -webkit-transition: opacity .5s; - transition: opacity .5s; - color: #333 + -webkit-transition: opacity 0.5s; + transition: opacity 0.5s; + color: #333; } .swagger-ui .checkbox label { display: -webkit-box; display: -ms-flexbox; - display: flex + display: flex; } .swagger-ui .checkbox p { - font-weight: 400!important; + font-weight: 400 !important; font-style: italic; - margin: 0!important; - font-family: Source Code Pro, monospace; + margin: 0 !important; + font-family: + Source Code Pro, + monospace; font-weight: 600; - color: #3b4151 + color: #3b4151; } -.swagger-ui .checkbox input[type=checkbox] { - display: none +.swagger-ui .checkbox input[type="checkbox"] { + display: none; } -.swagger-ui .checkbox input[type=checkbox]+label>.item { +.swagger-ui .checkbox input[type="checkbox"] + label > .item { position: relative; top: 3px; display: inline-block; @@ -867,16 +953,18 @@ box-shadow: 0 0 0 2px #e8e8e8; -webkit-box-flex: 0; -ms-flex: none; - flex: none + flex: none; } -.swagger-ui .checkbox input[type=checkbox]+label>.item:active { - -webkit-transform: scale(.9); - transform: scale(.9) +.swagger-ui .checkbox input[type="checkbox"] + label > .item:active { + -webkit-transform: scale(0.9); + transform: scale(0.9); } -.swagger-ui .checkbox input[type=checkbox]:checked+label>.item { - background: #e8e8e8 url("data:image/svg+xml;charset=utf-8,%3Csvg width='10' height='8' viewBox='3 7 10 8' xmlns='http://www.w3.org/2000/svg'%3E%3Cpath fill='%2341474E' fill-rule='evenodd' d='M6.333 15L3 11.667l1.333-1.334 2 2L11.667 7 13 8.333z'/%3E%3C/svg%3E") 50% no-repeat +.swagger-ui .checkbox input[type="checkbox"]:checked + label > .item { + background: #e8e8e8 + url("data:image/svg+xml;charset=utf-8,%3Csvg width='10' height='8' viewBox='3 7 10 8' xmlns='http://www.w3.org/2000/svg'%3E%3Cpath fill='%2341474E' fill-rule='evenodd' d='M6.333 15L3 11.667l1.333-1.334 2 2L11.667 7 13 8.333z'/%3E%3C/svg%3E") + 50% no-repeat; } .swagger-ui .dialog-ux { @@ -885,7 +973,7 @@ top: 0; right: 0; bottom: 0; - left: 0 + left: 0; } .swagger-ui .dialog-ux .backdrop-ux { @@ -894,7 +982,7 @@ right: 0; bottom: 0; left: 0; - background: rgba(0, 0, 0, .8) + background: rgba(0, 0, 0, 0.8); } .swagger-ui .dialog-ux .modal-ux { @@ -910,29 +998,33 @@ border: 1px solid #ebebeb; border-radius: 4px; background: #fff; - box-shadow: 0 10px 30px 0 rgba(0, 0, 0, .2) + box-shadow: 0 10px 30px 0 rgba(0, 0, 0, 0.2); } .swagger-ui .dialog-ux .modal-ux-content { overflow-y: auto; max-height: 540px; - padding: 20px + padding: 20px; } .swagger-ui .dialog-ux .modal-ux-content p { font-size: 12px; margin: 0 0 5px; color: #41444e; - font-family: Open Sans, sans-serif; - color: #3b4151 + font-family: + Open Sans, + sans-serif; + color: #3b4151; } .swagger-ui .dialog-ux .modal-ux-content h4 { font-size: 18px; font-weight: 600; margin: 15px 0 0; - font-family: Titillium Web, sans-serif; - color: #3b4151 + font-family: + Titillium Web, + sans-serif; + color: #3b4151; } .swagger-ui .dialog-ux .modal-ux-header { @@ -943,7 +1035,7 @@ border-bottom: 1px solid #ebebeb; -webkit-box-align: center; -ms-flex-align: center; - align-items: center + align-items: center; } .swagger-ui .dialog-ux .modal-ux-header .close-modal { @@ -952,7 +1044,7 @@ background: none; -webkit-appearance: none; -moz-appearance: none; - appearance: none + appearance: none; } .swagger-ui .dialog-ux .modal-ux-header h3 { @@ -963,16 +1055,20 @@ -webkit-box-flex: 1; -ms-flex: 1; flex: 1; - font-family: Titillium Web, sans-serif; - color: #3b4151 + font-family: + Titillium Web, + sans-serif; + color: #3b4151; } .swagger-ui .model { font-size: 12px; font-weight: 300; - font-family: Source Code Pro, monospace; + font-family: + Source Code Pro, + monospace; font-weight: 600; - color: #3b4151 + color: #3b4151; } .swagger-ui .model-toggle { @@ -980,21 +1076,23 @@ position: relative; top: 6px; display: inline-block; - margin: auto .3em; + margin: auto 0.3em; cursor: pointer; - -webkit-transition: -webkit-transform .15s ease-in; - transition: -webkit-transform .15s ease-in; - transition: transform .15s ease-in; - transition: transform .15s ease-in, -webkit-transform .15s ease-in; + -webkit-transition: -webkit-transform 0.15s ease-in; + transition: -webkit-transform 0.15s ease-in; + transition: transform 0.15s ease-in; + transition: + transform 0.15s ease-in, + -webkit-transform 0.15s ease-in; -webkit-transform: rotate(90deg); transform: rotate(90deg); -webkit-transform-origin: 50% 50%; - transform-origin: 50% 50% + transform-origin: 50% 50%; } .swagger-ui .model-toggle.collapsed { -webkit-transform: rotate(0deg); - transform: rotate(0deg) + transform: rotate(0deg); } .swagger-ui .model-toggle:after { @@ -1002,58 +1100,59 @@ width: 20px; height: 20px; content: ""; - background: url("data:image/svg+xml;charset=utf-8,%3Csvg xmlns='http://www.w3.org/2000/svg' width='24' height='24' viewBox='0 0 24 24'%3E%3Cpath d='M10 6L8.59 7.41 13.17 12l-4.58 4.59L10 18l6-6z'/%3E%3C/svg%3E") 50% no-repeat; - background-size: 100% + background: url("data:image/svg+xml;charset=utf-8,%3Csvg xmlns='http://www.w3.org/2000/svg' width='24' height='24' viewBox='0 0 24 24'%3E%3Cpath d='M10 6L8.59 7.41 13.17 12l-4.58 4.59L10 18l6-6z'/%3E%3C/svg%3E") + 50% no-repeat; + background-size: 100%; } .swagger-ui .model-jump-to-path { position: relative; - cursor: pointer + cursor: pointer; } .swagger-ui .model-jump-to-path .view-line-link { position: absolute; - top: -.4em; - cursor: pointer + top: -0.4em; + cursor: pointer; } .swagger-ui .model-title { - position: relative + position: relative; } .swagger-ui .model-title:hover .model-hint { - visibility: visible + visibility: visible; } .swagger-ui .model-hint { position: absolute; top: -1.8em; visibility: hidden; - padding: .1em .5em; + padding: 0.1em 0.5em; white-space: nowrap; color: #ebebeb; border-radius: 4px; - background: rgba(0, 0, 0, .7) + background: rgba(0, 0, 0, 0.7); } .swagger-ui section.models { margin: 30px 0; - border: 1px solid rgba(59, 65, 81, .3); - border-radius: 4px + border: 1px solid rgba(59, 65, 81, 0.3); + border-radius: 4px; } .swagger-ui section.models.is-open { - padding: 0 0 20px + padding: 0 0 20px; } .swagger-ui section.models.is-open h4 { margin: 0 0 5px; - border-bottom: 1px solid rgba(59, 65, 81, .3) + border-bottom: 1px solid rgba(59, 65, 81, 0.3); } .swagger-ui section.models.is-open h4 svg { -webkit-transform: rotate(90deg); - transform: rotate(90deg) + transform: rotate(90deg); } .swagger-ui section.models h4 { @@ -1064,165 +1163,181 @@ margin: 0; padding: 10px 20px 10px 10px; cursor: pointer; - -webkit-transition: all .2s; - transition: all .2s; - font-family: Titillium Web, sans-serif; + -webkit-transition: all 0.2s; + transition: all 0.2s; + font-family: + Titillium Web, + sans-serif; color: #777; -webkit-box-align: center; -ms-flex-align: center; - align-items: center + align-items: center; } .swagger-ui section.models h4 svg { - -webkit-transition: all .4s; - transition: all .4s + -webkit-transition: all 0.4s; + transition: all 0.4s; } .swagger-ui section.models h4 span { -webkit-box-flex: 1; -ms-flex: 1; - flex: 1 + flex: 1; } .swagger-ui section.models h4:hover { - background: rgba(0, 0, 0, .02) + background: rgba(0, 0, 0, 0.02); } .swagger-ui section.models h5 { font-size: 16px; margin: 0 0 10px; - font-family: Titillium Web, sans-serif; - color: #777 + font-family: + Titillium Web, + sans-serif; + color: #777; } .swagger-ui section.models .model-jump-to-path { position: relative; - top: 5px + top: 5px; } .swagger-ui section.models .model-container { margin: 0 20px 15px; - -webkit-transition: all .5s; - transition: all .5s; + -webkit-transition: all 0.5s; + transition: all 0.5s; border-radius: 4px; - background: rgba(0, 0, 0, .05) + background: rgba(0, 0, 0, 0.05); } .swagger-ui section.models .model-container:hover { - background: rgba(0, 0, 0, .07) + background: rgba(0, 0, 0, 0.07); } .swagger-ui section.models .model-container:first-of-type { - margin: 20px + margin: 20px; } .swagger-ui section.models .model-container:last-of-type { - margin: 0 20px + margin: 0 20px; } .swagger-ui section.models .model-box { - background: none + background: none; } .swagger-ui .model-box { padding: 10px; border-radius: 4px; - background: rgba(0, 0, 0, .1) + background: rgba(0, 0, 0, 0.1); } .swagger-ui .model-box .model-jump-to-path { position: relative; - top: 4px + top: 4px; } .swagger-ui .model-title { font-size: 16px; - font-family: Titillium Web, sans-serif; - color: #555 + font-family: + Titillium Web, + sans-serif; + color: #555; } -.swagger-ui span>span.model, .swagger-ui span>span.model .brace-close { - padding: 0 0 0 10px +.swagger-ui span > span.model, +.swagger-ui span > span.model .brace-close { + padding: 0 0 0 10px; } .swagger-ui .prop-type { - color: #55a + color: #55a; } .swagger-ui .prop-enum { - display: block + display: block; } .swagger-ui .prop-format { - color: #999 + color: #999; } .swagger-ui table { width: 100%; padding: 0 10px; - border-collapse: collapse + border-collapse: collapse; } .swagger-ui table.model tbody tr td { padding: 0; - vertical-align: top + vertical-align: top; } .swagger-ui table.model tbody tr td:first-of-type { width: 100px; - padding: 0 + padding: 0; } .swagger-ui table.headers td { font-size: 12px; font-weight: 300; vertical-align: middle; - font-family: Source Code Pro, monospace; + font-family: + Source Code Pro, + monospace; font-weight: 600; - color: #3b4151 + color: #3b4151; } .swagger-ui table tbody tr td { padding: 10px 0 0; - vertical-align: top + vertical-align: top; } .swagger-ui table tbody tr td:first-of-type { width: 20%; - padding: 10px 0 + padding: 10px 0; } -.swagger-ui table thead tr td, .swagger-ui table thead tr th { +.swagger-ui table thead tr td, +.swagger-ui table thead tr th { font-size: 12px; font-weight: 700; padding: 12px 0; text-align: left; - border-bottom: 1px solid rgba(59, 65, 81, .2); - font-family: Open Sans, sans-serif; - color: #3b4151 + border-bottom: 1px solid rgba(59, 65, 81, 0.2); + font-family: + Open Sans, + sans-serif; + color: #3b4151; } .swagger-ui .parameters-col_description p { font-size: 14px; margin: 0; - font-family: Open Sans, sans-serif; - color: #3b4151 + font-family: + Open Sans, + sans-serif; + color: #3b4151; } -.swagger-ui .parameters-col_description input[type=text] { +.swagger-ui .parameters-col_description input[type="text"] { width: 100%; - max-width: 340px + max-width: 340px; } .swagger-ui .parameter__name { font-size: 16px; font-weight: 400; - font-family: Titillium Web, sans-serif; - color: #3b4151 + font-family: + Titillium Web, + sans-serif; + color: #3b4151; } .swagger-ui .parameter__name.required { - font-weight: 700 + font-weight: 700; } .swagger-ui .parameter__name.required:after { @@ -1231,36 +1346,39 @@ top: -6px; padding: 5px; content: "required"; - color: rgba(255, 0, 0, .6) + color: rgba(255, 0, 0, 0.6); } .swagger-ui .parameter__in { font-size: 12px; font-style: italic; - font-family: Source Code Pro, monospace; + font-family: + Source Code Pro, + monospace; font-weight: 600; - color: #888 + color: #888; } .swagger-ui .table-container { - padding: 20px + padding: 20px; } .swagger-ui .topbar { padding: 8px 30px; - background-color: #89bf04 + background-color: #89bf04; } .swagger-ui .topbar .topbar-wrapper { - -ms-flex-align: center + -ms-flex-align: center; } -.swagger-ui .topbar .topbar-wrapper, .swagger-ui .topbar a { +.swagger-ui .topbar .topbar-wrapper, +.swagger-ui .topbar a { display: -webkit-box; display: -ms-flexbox; display: flex; -webkit-box-align: center; - align-items: center + align-items: center; } .swagger-ui .topbar a { @@ -1271,31 +1389,33 @@ -ms-flex: 1; flex: 1; -ms-flex-align: center; - font-family: Titillium Web, sans-serif; - color: #fff + font-family: + Titillium Web, + sans-serif; + color: #fff; } .swagger-ui .topbar a span { margin: 0; - padding: 0 10px + padding: 0 10px; } .swagger-ui .topbar .download-url-wrapper { display: -webkit-box; display: -ms-flexbox; - display: flex + display: flex; } .swagger-ui .topbar .download-url-wrapper label.select-label span { color: white; } -.swagger-ui .topbar .download-url-wrapper input[type=text] { +.swagger-ui .topbar .download-url-wrapper input[type="text"] { min-width: 350px; margin: 0; border: 2px solid #547f00; border-radius: 4px 0 0 4px; - outline: none + outline: none; } .swagger-ui .topbar .download-url-wrapper .download-url-button { @@ -1305,67 +1425,79 @@ border: none; border-radius: 0 4px 4px 0; background: #547f00; - font-family: Titillium Web, sans-serif; - color: #fff + font-family: + Titillium Web, + sans-serif; + color: #fff; } .swagger-ui .info { - margin: 50px 0 + margin: 50px 0; } .swagger-ui .info hgroup.main { - margin: 0 0 20px + margin: 0 0 20px; } .swagger-ui .info hgroup.main a { - font-size: 12px + font-size: 12px; } .swagger-ui .info p { font-size: 14px; - font-family: Open Sans, sans-serif; - color: #3b4151 + font-family: + Open Sans, + sans-serif; + color: #3b4151; } .swagger-ui .info code { padding: 3px 5px; border-radius: 4px; - background: rgba(0, 0, 0, .05); - font-family: Source Code Pro, monospace; + background: rgba(0, 0, 0, 0.05); + font-family: + Source Code Pro, + monospace; font-weight: 600; - color: #9012fe + color: #9012fe; } .swagger-ui .info a { font-size: 14px; - -webkit-transition: all .4s; - transition: all .4s; - font-family: Open Sans, sans-serif; - color: #4990e2 + -webkit-transition: all 0.4s; + transition: all 0.4s; + font-family: + Open Sans, + sans-serif; + color: #4990e2; } .swagger-ui .info a:hover { - color: #1f69c0 + color: #1f69c0; } -.swagger-ui .info>div { - margin: 0 0 5px +.swagger-ui .info > div { + margin: 0 0 5px; } .swagger-ui .info .base-url { font-size: 12px; - font-weight: 300!important; + font-weight: 300 !important; margin: 0; - font-family: Source Code Pro, monospace; + font-family: + Source Code Pro, + monospace; font-weight: 600; - color: #3b4151 + color: #3b4151; } .swagger-ui .info .title { font-size: 36px; margin: 0; - font-family: Open Sans, sans-serif; - color: #3b4151 + font-family: + Open Sans, + sans-serif; + color: #3b4151; } .swagger-ui .info .title small { @@ -1377,13 +1509,15 @@ padding: 2px 4px; vertical-align: super; border-radius: 57px; - background: #7d8492 + background: #7d8492; } .swagger-ui .info .title small pre { margin: 0; - font-family: Titillium Web, sans-serif; - color: #fff + font-family: + Titillium Web, + sans-serif; + color: #fff; } .swagger-ui .auth-btn-wrapper { @@ -1393,7 +1527,7 @@ padding: 10px 0; -webkit-box-pack: center; -ms-flex-pack: center; - justify-content: center + justify-content: center; } .swagger-ui .auth-wrapper { @@ -1405,77 +1539,84 @@ flex: 1; -webkit-box-pack: end; -ms-flex-pack: end; - justify-content: flex-end + justify-content: flex-end; } .swagger-ui .auth-wrapper .authorize { - padding-right: 20px + padding-right: 20px; } .swagger-ui .auth-container { margin: 0 0 10px; padding: 10px 20px; - border-bottom: 1px solid #ebebeb + border-bottom: 1px solid #ebebeb; } .swagger-ui .auth-container:last-of-type { margin: 0; padding: 10px 20px; - border: 0 + border: 0; } .swagger-ui .auth-container h4 { - margin: 5px 0 15px!important + margin: 5px 0 15px !important; } .swagger-ui .auth-container .wrapper { margin: 0; - padding: 0 + padding: 0; } -.swagger-ui .auth-container input[type=password], .swagger-ui .auth-container input[type=text] { - min-width: 230px +.swagger-ui .auth-container input[type="password"], +.swagger-ui .auth-container input[type="text"] { + min-width: 230px; } .swagger-ui .auth-container .errors { font-size: 12px; padding: 10px; border-radius: 4px; - font-family: Source Code Pro, monospace; + font-family: + Source Code Pro, + monospace; font-weight: 600; - color: #3b4151 + color: #3b4151; } .swagger-ui .scopes h2 { font-size: 14px; - font-family: Titillium Web, sans-serif; - color: #3b4151 + font-family: + Titillium Web, + sans-serif; + color: #3b4151; } .swagger-ui .scope-def { - padding: 0 0 20px + padding: 0 0 20px; } .swagger-ui .errors-wrapper { margin: 20px; padding: 10px 20px; - -webkit-animation: scaleUp .5s; - animation: scaleUp .5s; + -webkit-animation: scaleUp 0.5s; + animation: scaleUp 0.5s; border: 2px solid #f93e3e; border-radius: 4px; - background: rgba(249, 62, 62, .1) + background: rgba(249, 62, 62, 0.1); } .swagger-ui .errors-wrapper .error-wrapper { - margin: 0 0 10px + margin: 0 0 10px; } .swagger-ui .errors-wrapper .errors h4 { font-size: 14px; margin: 0; - font-family: Source Code Pro, monospace; + font-family: + Source Code Pro, + monospace; font-weight: 600; - color: #3b4151 + color: #3b4151; } .swagger-ui .errors-wrapper hgroup { @@ -1484,7 +1625,7 @@ display: flex; -webkit-box-align: center; -ms-flex-align: center; - align-items: center + align-items: center; } .swagger-ui .errors-wrapper hgroup h4 { @@ -1493,38 +1634,40 @@ -webkit-box-flex: 1; -ms-flex: 1; flex: 1; - font-family: Titillium Web, sans-serif; - color: #3b4151 + font-family: + Titillium Web, + sans-serif; + color: #3b4151; } @-webkit-keyframes scaleUp { 0% { - -webkit-transform: scale(.8); - transform: scale(.8); - opacity: 0 + -webkit-transform: scale(0.8); + transform: scale(0.8); + opacity: 0; } to { -webkit-transform: scale(1); transform: scale(1); - opacity: 1 + opacity: 1; } } @keyframes scaleUp { 0% { - -webkit-transform: scale(.8); - transform: scale(.8); - opacity: 0 + -webkit-transform: scale(0.8); + transform: scale(0.8); + opacity: 0; } to { -webkit-transform: scale(1); transform: scale(1); - opacity: 1 + opacity: 1; } } .swagger-ui .Resizer.vertical.disabled { - display: none + display: none; } /*# sourceMappingURL=swagger-ui.css.map*/ @@ -1537,182 +1680,197 @@ * Github: https://github.com/ostranme/swagger-ui-themes */ - .swagger-ui .opblock.opblock-post { - border-color: #ffffff; - background: #ffffff; - } - - .swagger-ui .opblock.opblock-post .opblock-summary-method { - background: #009688; - } - - .swagger-ui .opblock.opblock-post .opblock-summary { - border-color: #ffffff; - } - - .swagger-ui .opblock.opblock-post .tab-header .tab-item.active h4 span:after { - background: #009688; - } - - .swagger-ui .opblock.opblock-put { - border-color: #ffffff; - background: #ffffff; - } - - .swagger-ui .opblock.opblock-put .opblock-summary-method { - background: #ff9800; - } - - .swagger-ui .opblock.opblock-put .opblock-summary { - border-color: #ffffff; - } - - .swagger-ui .opblock.opblock-put .tab-header .tab-item.active h4 span:after { - background: #ff9800; - } - - .swagger-ui .opblock.opblock-delete { - border-color: #ffffff; - background: #ffffff; - } - - .swagger-ui .opblock.opblock-delete .opblock-summary-method { - background: #f44336; - } - - .swagger-ui .opblock.opblock-delete .opblock-summary { - border-color: #ffffff; - } - - .swagger-ui .opblock.opblock-delete .tab-header .tab-item.active h4 span:after { - background: #f44336; - } - - .swagger-ui .opblock.opblock-get { - border-color: #ffffff; - background: #ffffff; - } - - .swagger-ui .opblock.opblock-get .opblock-summary-method { - background: #3f51b5; - } - - .swagger-ui .opblock.opblock-get .opblock-summary { - border-color: #ffffff; - } - - .swagger-ui .opblock.opblock-get .tab-header .tab-item.active h4 span:after { - background: #3f51b5; - } - - .swagger-ui .opblock.opblock-patch { - border-color: #ffffff; - background: #ffffff; - } - - .swagger-ui .opblock.opblock-patch .opblock-summary-method { - background: #f57c00; - } - - .swagger-ui .opblock.opblock-patch .opblock-summary { - border-color: #ffffff; - } - - .swagger-ui .opblock.opblock-patch .tab-header .tab-item.active h4 span:after { - background: #f57c00; - } - - .swagger-ui .opblock.opblock-head { - border-color: #ffffff; - background: #ffffff; - } - - .swagger-ui .opblock.opblock-head .opblock-summary-method { - background: #3f51b5; - } - - .swagger-ui .opblock.opblock-head .opblock-summary { - border-color: #ffffff; - } - - .swagger-ui .opblock.opblock-head .tab-header .tab-item.active h4 span:after { +.swagger-ui .opblock.opblock-post { + border-color: #ffffff; + background: #ffffff; +} + +.swagger-ui .opblock.opblock-post .opblock-summary-method { + background: #009688; +} + +.swagger-ui .opblock.opblock-post .opblock-summary { + border-color: #ffffff; +} + +.swagger-ui .opblock.opblock-post .tab-header .tab-item.active h4 span:after { + background: #009688; +} + +.swagger-ui .opblock.opblock-put { + border-color: #ffffff; + background: #ffffff; +} + +.swagger-ui .opblock.opblock-put .opblock-summary-method { + background: #ff9800; +} + +.swagger-ui .opblock.opblock-put .opblock-summary { + border-color: #ffffff; +} + +.swagger-ui .opblock.opblock-put .tab-header .tab-item.active h4 span:after { + background: #ff9800; +} + +.swagger-ui .opblock.opblock-delete { + border-color: #ffffff; + background: #ffffff; +} + +.swagger-ui .opblock.opblock-delete .opblock-summary-method { + background: #f44336; +} + +.swagger-ui .opblock.opblock-delete .opblock-summary { + border-color: #ffffff; +} + +.swagger-ui .opblock.opblock-delete .tab-header .tab-item.active h4 span:after { + background: #f44336; +} + +.swagger-ui .opblock.opblock-get { + border-color: #ffffff; + background: #ffffff; +} + +.swagger-ui .opblock.opblock-get .opblock-summary-method { + background: #3f51b5; +} + +.swagger-ui .opblock.opblock-get .opblock-summary { + border-color: #ffffff; +} + +.swagger-ui .opblock.opblock-get .tab-header .tab-item.active h4 span:after { + background: #3f51b5; +} + +.swagger-ui .opblock.opblock-patch { + border-color: #ffffff; + background: #ffffff; +} + +.swagger-ui .opblock.opblock-patch .opblock-summary-method { + background: #f57c00; +} + +.swagger-ui .opblock.opblock-patch .opblock-summary { + border-color: #ffffff; +} + +.swagger-ui .opblock.opblock-patch .tab-header .tab-item.active h4 span:after { + background: #f57c00; +} + +.swagger-ui .opblock.opblock-head { + border-color: #ffffff; + background: #ffffff; +} + +.swagger-ui .opblock.opblock-head .opblock-summary-method { + background: #3f51b5; +} + +.swagger-ui .opblock.opblock-head .opblock-summary { + border-color: #ffffff; +} + +.swagger-ui .opblock.opblock-head .tab-header .tab-item.active h4 span:after { + background: #3f51b5; +} + +.swagger-ui .opblock.opblock-options { + border-color: #ffffff; + background: #ffffff; +} + +.swagger-ui .opblock.opblock-options .opblock-summary-method { + background: #3f51b5; +} + +.swagger-ui .opblock.opblock-options .opblock-summary { + border-color: #ffffff; +} + +.swagger-ui + .opblock.opblock-options + .tab-header + .tab-item.active + h4 + span:after { background: #3f51b5; - } - - .swagger-ui .opblock.opblock-options { - border-color: #ffffff; - background: #ffffff; - } - - .swagger-ui .opblock.opblock-options .opblock-summary-method { - background: #3f51b5; - } - - .swagger-ui .opblock.opblock-options .opblock-summary { - border-color: #ffffff; - } - - .swagger-ui .opblock.opblock-options .tab-header .tab-item.active h4 span:after { - background: #3f51b5; - } - - .swagger-ui .topbar { - padding: 8px 30px; - background-color: #3f51b5; - box-shadow: 0 5px 5px 0 rgba(0,0,0,.4), 0 3px 1px -2px rgba(0,0,0,.2), 0 1px 5px 0 rgba(0,0,0,.12); - } - - .swagger-ui .topbar .download-url-wrapper input[type=text] { - min-width: 350px; - margin: 0; - border: 2px solid #DADFE1; - border-radius: 4px 0 0 4px; - outline: none; - } - - .swagger-ui .topbar .download-url-wrapper .download-url-button { - font-size: 16px; - font-weight: 700; - padding: 4px 40px; - border: none; - border-radius: 0 4px 4px 0; - background: #ffffff; - font-family: Titillium Web, sans-serif; - color: #222222; - } - - .swagger-ui .info a { - font-size: 14px; - -webkit-transition: all .4s; - transition: all .4s; - font-family: Open Sans, sans-serif; - color: #3f51b5; - } - - .swagger-ui .info a:hover { - color: #3f51b5; - } - - .swagger-ui .btn.authorize { - line-height: 1; - display: inline; - color: #3f51b5; - border-color: #3f51b5; - } - - .swagger-ui .btn.authorize svg { - fill: #3f51b5; - } - - body { - margin:0; - background: #ffffff; - font-family: "Roboto","Helvetica","Arial",sans-serif; - } - - .swagger-ui .opblock { - margin: 0 0 15px; - border: none; - border-radius: 2px; - box-shadow: 0 2px 2px 0 rgba(0,0,0,.14),0 3px 1px -2px rgba(0,0,0,.2),0 1px 5px 0 rgba(0,0,0,.12); - } +} + +.swagger-ui .topbar { + padding: 8px 30px; + background-color: #3f51b5; + box-shadow: + 0 5px 5px 0 rgba(0, 0, 0, 0.4), + 0 3px 1px -2px rgba(0, 0, 0, 0.2), + 0 1px 5px 0 rgba(0, 0, 0, 0.12); +} + +.swagger-ui .topbar .download-url-wrapper input[type="text"] { + min-width: 350px; + margin: 0; + border: 2px solid #dadfe1; + border-radius: 4px 0 0 4px; + outline: none; +} + +.swagger-ui .topbar .download-url-wrapper .download-url-button { + font-size: 16px; + font-weight: 700; + padding: 4px 40px; + border: none; + border-radius: 0 4px 4px 0; + background: #ffffff; + font-family: + Titillium Web, + sans-serif; + color: #222222; +} + +.swagger-ui .info a { + font-size: 14px; + -webkit-transition: all 0.4s; + transition: all 0.4s; + font-family: + Open Sans, + sans-serif; + color: #3f51b5; +} + +.swagger-ui .info a:hover { + color: #3f51b5; +} + +.swagger-ui .btn.authorize { + line-height: 1; + display: inline; + color: #3f51b5; + border-color: #3f51b5; +} + +.swagger-ui .btn.authorize svg { + fill: #3f51b5; +} + +body { + margin: 0; + background: #ffffff; + font-family: "Roboto", "Helvetica", "Arial", sans-serif; +} + +.swagger-ui .opblock { + margin: 0 0 15px; + border: none; + border-radius: 2px; + box-shadow: + 0 2px 2px 0 rgba(0, 0, 0, 0.14), + 0 3px 1px -2px rgba(0, 0, 0, 0.2), + 0 1px 5px 0 rgba(0, 0, 0, 0.12); +} diff --git a/server/src/client/app/src/App.js b/server/src/client/app/src/App.js index 767bd360..72d92c97 100755 --- a/server/src/client/app/src/App.js +++ b/server/src/client/app/src/App.js @@ -15,7 +15,7 @@ import { green, grey, purple, - pink + pink, } from "@mui/material/colors"; import maTheme from "./theme"; @@ -34,24 +34,24 @@ class App extends React.Component { searchActive: false, animation: true, drawerWidth: 260, - setTheme: value => + setTheme: (value) => this.setState({ currentTheme: value }, this.log("Theme changed")), - toggleAnimation: value => + toggleAnimation: (value) => this.setState({ animation: value }, this.log("Animation changed")), - setSearchActive: value => + setSearchActive: (value) => this.setState({ searchActive: value }, this.log("Search bar changed")), toggleSearch: () => this.setState( { searchActive: !this.state.searchActive }, - this.log("Search bar changed") + this.log("Search bar changed"), ), miniDrawerToggle: () => this.setState( { miniDrawer: !this.state.miniDrawer, - drawerWidth: this.state.miniDrawer ? 260 : 57 + drawerWidth: this.state.miniDrawer ? 260 : 57, }, - this.log("Drawer changed") + this.log("Drawer changed"), ), // Auth @@ -64,20 +64,26 @@ class App extends React.Component { if (token != null) { const yourConfig = { headers: { - Authorization: "Bearer " + token - } + Authorization: "Bearer " + token, + }, }; axios - .get(process.env.REACT_APP_URL_SITE_BACKEND + "verifytoken", yourConfig) - .then(response => { + .get( + process.env.REACT_APP_URL_SITE_BACKEND + "verifytoken", + yourConfig, + ) + .then((response) => { if ( response.statusText !== undefined && response.statusText === "OK" && !this.state.loggedIn ) { axios - .get(process.env.REACT_APP_URL_SITE_BACKEND + "profile", yourConfig) - .then(response => { + .get( + process.env.REACT_APP_URL_SITE_BACKEND + "profile", + yourConfig, + ) + .then((response) => { let img = undefined; if (response.data.image.includes(path.sep)) { img = response.data.image; @@ -91,26 +97,26 @@ class App extends React.Component { loggedIn: true, userImage: img, userInitials: ini, - userID: userID + userID: userID, }, - this.log("Login changed: User profile loaded") + this.log("Login changed: User profile loaded"), ); }) - .catch(error => { + .catch((error) => { console.log("Could not fetch profile."); }); } else if (this.state.loggedIn) { this.setState( { loggedIn: false }, - this.log("Login changed: Authentication failed") + this.log("Login changed: Authentication failed"), ); } }) - .catch(error => { + .catch((error) => { if (this.state.loggedIn) { this.setState( { loggedIn: false }, - this.log("Login changed: Authentication check failed") + this.log("Login changed: Authentication check failed"), ); } }); @@ -119,7 +125,7 @@ class App extends React.Component { logIn: () => { this.setState( { loggedIn: true }, - this.log("Login changed: user logged in") + this.log("Login changed: user logged in"), ); }, logOut: () => { @@ -128,19 +134,19 @@ class App extends React.Component { loggedIn: false, userImage: undefined, userInitials: undefined, - userID: undefined + userID: undefined, }, - this.log("Login changed: user logged out") + this.log("Login changed: user logged out"), ); }, - setUserImage: value => { + setUserImage: (value) => { console.log(value); if (value.includes(path.sep)) { //check if valid path this.setState({ userImage: value }, this.log("User image changed")); } }, - setUserInitials: value => { + setUserInitials: (value) => { console.log(value); this.setState({ userInitials: value }, this.log("User initials changed")); }, @@ -179,33 +185,38 @@ class App extends React.Component { toggleSplit: () => this.setState( { displaySplit: !this.state.displaySplit }, - this.log("Split view changed") + this.log("Split view changed"), ), toggleStats: () => this.setState( { displayStats: !this.state.displayStats }, - this.log("Stats view changed") + this.log("Stats view changed"), ), - setType: value => { + setType: (value) => { this.setState({ type: value, activeTab: 0 }, this.log("Type changed")); }, - setActiveTab: value => { + setActiveTab: (value) => { this.setState({ activeTab: value }, this.log("Active tab changed")); }, - setSubType: value => { + setSubType: (value) => { this.setState({ subType: value }, this.log("SubType changed")); }, - setTag: value => { + setTag: (value) => { this.setState({ tag: value }, this.log("Tag changed")); }, - setLoading: value => { + setLoading: (value) => { this.setState({ loading: value }, this.log("Loading changed")); }, - setQuery: value => { + setQuery: (value) => { if (value === "") { value = undefined; } - let state_update = { query: value, updateType: "query", startCount: 0, results: [] }; + let state_update = { + query: value, + updateType: "query", + startCount: 0, + results: [], + }; if (value !== undefined) { state_update["sort"] = "match"; } else { @@ -213,30 +224,31 @@ class App extends React.Component { } this.setState(state_update, this.log("Query set")); }, - setFields: value => { + setFields: (value) => { this.setState({ fields: value }, this.log("Fields changed")); }, - setSort: value => { + setSort: (value) => { this.setState({ sort: value }, this.log("Sort changed")); }, resetStartCount: () => { - this.setState({ startCount: 0, startSubCount: 0 }, this.log("StartCount reset")); + this.setState( + { startCount: 0, startSubCount: 0 }, + this.log("StartCount reset"), + ); }, - setOrder: value => { + setOrder: (value) => { this.setState({ order: value }, this.log("Order changed")); }, - setID: value => { + setID: (value) => { this.setState({ id: value, activeTab: 0 }, this.log("ID changed")); }, setResults: (counts, results) => { - this.setState( - { - counts: counts, - results: results, - updateType: "results", - startCount: results.length - }, - ); + this.setState({ + counts: counts, + results: results, + updateType: "results", + startCount: results.length, + }); }, setSubResults: (counts, results) => { this.setState( @@ -244,9 +256,9 @@ class App extends React.Component { subCounts: counts, subResults: results, updateType: "subresults", - startSubCount: results.length + startSubCount: results.length, }, - this.log("Search subresults changed") + this.log("Search subresults changed"), ); }, setSubSearch: (type, filters) => { @@ -255,11 +267,12 @@ class App extends React.Component { subFilters: filters, updateType: "subquery", subResults: [], - startSubCount: 0 + startSubCount: 0, }; this.setState(update); }, - setSearch: (qp, fields) => { // parses search from url query parameters + setSearch: (qp, fields) => { + // parses search from url query parameters if (JSON.stringify(qp) === this.state.qjson) return; let qchanged = false; let idChanged = false; @@ -271,20 +284,22 @@ class App extends React.Component { displaySearch: true, filters: this.state.type === qp.type ? this.state.filters : [], // reset query if type changes - query: (this.state.type === qp.type || this.state.type === undefined) ? this.state.query : undefined + query: + this.state.type === qp.type || this.state.type === undefined + ? this.state.query + : undefined, }; - if (this.state.type !== qp.type){ + if (this.state.type !== qp.type) { document.getElementById("searchbar").value = ""; } - + // check for removed keys - Object.keys(this.state.filters).forEach(key => { + Object.keys(this.state.filters).forEach((key) => { if (!(key in qp)) { delete this.state.filters[key]; qchanged = true; } - } - ); + }); // process query parameters Object.entries(qp).forEach(([key, value]) => { // Sorting and ID filters @@ -293,7 +308,8 @@ class App extends React.Component { if (this.state[key] !== value && key !== "id") { qchanged = true; } - if (key === "type" && this.state[key] !== value ) { //reset active tab if type changes + if (key === "type" && this.state[key] !== value) { + //reset active tab if type changes update["activeTab"] = 0; update["startSubCount"] = 0; qchanged = true; @@ -305,12 +321,21 @@ class App extends React.Component { let type = "="; let value2 = undefined; // TODO: we need to add a special case for every filter that can have '_' in its values, think of a better way - if (!key.startsWith("tags") && !key.startsWith("status") && !key.startsWith("format") && value.split("_").length === 2) { + if ( + !key.startsWith("tags") && + !key.startsWith("status") && + !key.startsWith("format") && + value.split("_").length === 2 + ) { let vals = value.split("_"); type = vals[0]; value = vals[1]; } - if (!key.startsWith("tags") && !key.startsWith("status") && value.split("_").length === 3) { + if ( + !key.startsWith("tags") && + !key.startsWith("status") && + value.split("_").length === 3 + ) { let vals = value.split("_"); type = vals[0]; value = vals[1]; @@ -322,7 +347,7 @@ class App extends React.Component { this.state.filters[key].type !== type || this.state.filters[key].value !== value ) { - if (update.filters[key] !== undefined){ + if (update.filters[key] !== undefined) { update.filters[key].type = type; update.filters[key].value = value; } @@ -355,7 +380,7 @@ class App extends React.Component { update.startCount = 0; this.setState(update); } else if ( - (qp["id"] !== undefined && this.state.id !== qp["id"]) || + (qp["id"] !== undefined && this.state.id !== qp["id"]) || (qp["id"] === undefined && this.state.id !== undefined) || idChanged ) { @@ -365,12 +390,12 @@ class App extends React.Component { updateType: "id", displaySearch: update["displaySearch"], startSubCount: 0, - activeTab: 0 + activeTab: 0, }); } else { if (this.state.updateType !== undefined) { this.setState({ - updateType: undefined + updateType: undefined, }); } //console.log("Nothing to do"); @@ -385,11 +410,11 @@ class App extends React.Component { } //console.log(filters); this.setState(update); - } + }, }; // Logs state change when in developer mode. - log = message => { + log = (message) => { if (!process.env.NODE_ENV || process.env.NODE_ENV === "development") { // console.log(message); } @@ -400,10 +425,7 @@ class App extends React.Component { return green[500]; } else if (type === "task") { return orange[600]; - } else if ( - type === "flow" || - window.location.pathname.startsWith("/api") - ) { + } else if (type === "flow" || window.location.pathname.startsWith("/api")) { return blue[800]; } else if ( type === "run" || @@ -415,7 +437,7 @@ class App extends React.Component { window.location.pathname.startsWith("/meet") ) { return purple[600]; - } else if ( type === "benchmark" ) { + } else if (type === "benchmark") { return pink[400]; } else if ( type === "task_type" || @@ -443,7 +465,7 @@ class App extends React.Component { case "flow": return "cog"; case "run": - return "flask"; + return "flask"; case "study": return "layer-group"; case "benchmark": diff --git a/server/src/client/app/src/components/Async.js b/server/src/client/app/src/components/Async.js index be78228a..20430ffe 100755 --- a/server/src/client/app/src/components/Async.js +++ b/server/src/client/app/src/components/Async.js @@ -2,7 +2,7 @@ import React from "react"; import Loader from "./Loader"; -const sleep = m => new Promise(r => setTimeout(r, m)); +const sleep = (m) => new Promise((r) => setTimeout(r, m)); export default function asyncComponent(importComponent) { class AsyncComponent extends React.Component { @@ -10,7 +10,7 @@ export default function asyncComponent(importComponent) { super(props); this.state = { - component: null + component: null, }; } @@ -20,7 +20,7 @@ export default function asyncComponent(importComponent) { const { default: component } = await importComponent(); this.setState({ - component: component + component: component, }); } diff --git a/server/src/client/app/src/components/Boop.js b/server/src/client/app/src/components/Boop.js index a86b2c1b..c686ac61 100644 --- a/server/src/client/app/src/components/Boop.js +++ b/server/src/client/app/src/components/Boop.js @@ -1,5 +1,5 @@ -import React from 'react'; -import { useSpring } from '@react-spring/web'; +import React from "react"; +import { useSpring } from "@react-spring/web"; function useBoop({ x = 0, @@ -41,4 +41,4 @@ function useBoop({ return [appliedStyle, trigger]; } -export default useBoop; \ No newline at end of file +export default useBoop; diff --git a/server/src/client/app/src/components/Footer.js b/server/src/client/app/src/components/Footer.js index ec4b227c..16a246bf 100755 --- a/server/src/client/app/src/components/Footer.js +++ b/server/src/client/app/src/components/Footer.js @@ -6,21 +6,21 @@ import { Hidden, List, ListItemText, - ListItem as MuiListItem + ListItem as MuiListItem, } from "@mui/material"; const Wrapper = styled.div` - padding: ${props => props.theme.spacing(1) / 4} - ${props => props.theme.spacing(4)}; - background: ${props => props.theme.palette.common.white}; + padding: ${(props) => props.theme.spacing(1) / 4} + ${(props) => props.theme.spacing(4)}; + background: ${(props) => props.theme.palette.common.white}; position: relative; `; const ListItem = styled(MuiListItem)` display: inline-block; width: auto; - padding-left: ${props => props.theme.spacing(2)}; - padding-right: ${props => props.theme.spacing(2)}; + padding-left: ${(props) => props.theme.spacing(2)}; + padding-right: ${(props) => props.theme.spacing(2)}; &, &:hover, diff --git a/server/src/client/app/src/components/Header.js b/server/src/client/app/src/components/Header.js index 9df4398b..e0195905 100755 --- a/server/src/client/app/src/components/Header.js +++ b/server/src/client/app/src/components/Header.js @@ -18,26 +18,19 @@ import { Toolbar, CardHeader, ListItemIcon, - Avatar + Avatar, } from "@mui/material"; -import withStyles from '@mui/styles/withStyles'; +import withStyles from "@mui/styles/withStyles"; -import { - blue, - yellow, - orange, - red, - green, - purple -} from "@mui/material/colors"; +import { blue, yellow, orange, red, green, purple } from "@mui/material/colors"; import { FontAwesomeIcon } from "@fortawesome/react-fontawesome"; import { MainContext } from "../App.js"; const AppBar = styled(MuiAppBar)` - background: ${props => props.theme.header.background}; - color: ${props => props.theme.header.color}; - box-shadow: ${props => props.theme.shadows[1]}; + background: ${(props) => props.theme.header.background}; + color: ${(props) => props.theme.header.color}; + box-shadow: ${(props) => props.theme.shadows[1]}; `; const IconButton = styled(MuiIconButton)` @@ -48,17 +41,17 @@ const IconButton = styled(MuiIconButton)` `; const Search = styled.div` - ${props => + ${(props) => props.bg === "Gradient" && css` background: transparent; `} - ${props => + ${(props) => props.bg !== "Gradient" && props.searchcolor && props.currenttheme === 1 && css` - background-color: ${props => props.searchcolor}; + background-color: ${(props) => props.searchcolor}; `} border-radius: 2px; display: none; @@ -66,28 +59,28 @@ const Search = styled.div` width: 100%; &:hover { - background-color: ${props => - props.bg === "Gradient" - ? "transparent" - : darken(0.05, props.theme.header.background)}; - ${props => - props.bg !== "Gradient" && - props.searchcolor && - props.currenttheme === 1 && - css` - background-color: ${props => darken(0.05, props.searchcolor)}; + background-color: ${(props) => + props.bg === "Gradient" + ? "transparent" + : darken(0.05, props.theme.header.background)}; + ${(props) => + props.bg !== "Gradient" && + props.searchcolor && + props.currenttheme === 1 && + css` + background-color: ${(props) => darken(0.05, props.searchcolor)}; `} } - ${props => props.theme.breakpoints.up("md")} { + ${(props) => props.theme.breakpoints.up("md")} { display: inline-block; margin-left: 60px; } - ${props => props.theme.breakpoints.up("lg")} { + ${(props) => props.theme.breakpoints.up("lg")} { display: inline-block; margin-left: 0px; } - ${props => + ${(props) => props.bg === "" && css` display: block; @@ -114,18 +107,18 @@ const Input = styled(InputBase)` width: 100%; > input { - color: ${props => - props.bg === "Gradient" ? "white" : props.theme.header.search.color}; - padding-top: ${props => props.theme.spacing(2.5)}; - padding-right: ${props => props.theme.spacing(2.5)}; - padding-bottom: ${props => props.theme.spacing(2.5)}; - padding-left: ${props => props.theme.spacing(8)}; + color: ${(props) => + props.bg === "Gradient" ? "white" : props.theme.header.search.color}; + padding-top: ${(props) => props.theme.spacing(2.5)}; + padding-right: ${(props) => props.theme.spacing(2.5)}; + padding-bottom: ${(props) => props.theme.spacing(2.5)}; + padding-left: ${(props) => props.theme.spacing(8)}; width: 80%; } > input::placeholder { - color: ${props => - props.bg === "Gradient" ? "white" : props.theme.header.search.color}; + color: ${(props) => + props.bg === "Gradient" ? "white" : props.theme.header.search.color}; opacity: 0.8; } `; @@ -145,43 +138,43 @@ const StyledLink = styled(Link)` `; const WhiteIcon = styled(FontAwesomeIcon)` - color: ${props => + color: ${(props) => props.bg === "Gradient" ? "white" : props.theme.header.color}; `; const UserButton = styled(Button)` - display: ${props => (props.bg === "" ? "none" : "inline-block")}; - color: ${props => + display: ${(props) => (props.bg === "" ? "none" : "inline-block")}; + color: ${(props) => props.bg === "Gradient" || props.currenttheme === 1 ? "white" : "inherit"}; - border-color: ${props => (props.bg === "Gradient" ? "white" : "inherit")}; + border-color: ${(props) => (props.bg === "Gradient" ? "white" : "inherit")}; - ${props => props.theme.breakpoints.up("md")} { + ${(props) => props.theme.breakpoints.up("md")} { display: inline-block; } `; const SearchButton = styled(Button)` - color: ${props => + color: ${(props) => props.bg === "Gradient" || props.theme === 1 ? "white" : "inherit"}; `; const SlimCardHeader = styled(CardHeader)({ padding: 0, - marginRight: 0 + marginRight: 0, }); const StyledMenu = withStyles({ paper: { - border: "1px solid #d3d4d5" - } -})(props => ( + border: "1px solid #d3d4d5", + }, +})((props) => ( @@ -189,7 +182,7 @@ const StyledMenu = withStyles({ const StyledMenuItem = styled(MenuItem)` &:hover { - background-color: ${props => props.theme.palette.primary.main}; + background-color: ${(props) => props.theme.palette.primary.main}; } , .MuiListItemIcon-root { @@ -198,7 +191,6 @@ const StyledMenuItem = styled(MenuItem)` `; class UserMenu extends Component { - randomColor = () => { let colors = [blue, orange, red, green, purple]; return colors[Math.floor(Math.random() * colors.length)][ @@ -209,13 +201,13 @@ class UserMenu extends Component { state = { anchorMenu: null, anchorNewMenu: null, - avatarColor: this.randomColor + avatarColor: this.randomColor, }; - toggleMenu = event => { + toggleMenu = (event) => { this.setState({ anchorMenu: event.currentTarget }); }; - toggleNewMenu = event => { + toggleNewMenu = (event) => { this.setState({ anchorNewMenu: event.currentTarget }); }; @@ -231,7 +223,7 @@ class UserMenu extends Component { return (
-
-
+
+
You will receive an email to confirm your account. If you don't receive - it, please check your spam folder. + it, please check your spam folder.