Claude/add cli

.github/workflows/ci_cd.yml

@@ -50,7 +50,13 @@ jobs:
             npx playwright install
           fi
 
-      - name: Run tests on CI
+      - name: Run CLI smoke tests
+        run: npm run test:cli
+
+      - name: Validate Malloy models
+        run: npm run test:models
+
+      - name: Run E2E tests
         run: npm test
 
       - uses: actions/upload-artifact@v6
@@ -72,11 +78,13 @@ jobs:
           node-version: lts/*
       - name: Install dependencies
         run: npm ci
-      - name: Build website
-        run: npm run build
-        # For gh pages deployment, base path is repository name
+      - name: Build CLI
+        run: npm run build:cli
+
+      - name: Build all example sites with landing page
+        run: npm run build:all
         env:
-          BASE_PUBLIC_PATH: /${{ github.event.repository.name }}/
+          BASE_PATH: /${{ github.event.repository.name }}/
 
       - name: Upload Build Artifact
         # only run on pushes to master or workflow_dispatch
@@ -123,9 +131,10 @@ jobs:
       - name: Install Playwright Browsers
         run: npx playwright install --with-deps
       - name: Run tests on deployed site
+        # Tests expect the sample-data example which contains the invoices model
         run: npm test
         env:
-          URL: ${{ needs.deploy.outputs.page_url }}
+          URL: ${{ needs.deploy.outputs.page_url }}sample-data/
       - uses: actions/upload-artifact@v6
         if: ${{ !cancelled() }}
         with:

.gitignore

@@ -26,3 +26,4 @@ dist-ssr
 /playwright-report/
 /blob-report/
 /playwright/.cache/
+dist-cli/

examples/huggingface/GitHub Events.malloynb

@@ -0,0 +1,41 @@
+>>>markdown
+# GitHub Events Analysis
+
+Explore GitHub activity data from the Hugging Face datasets. This model analyzes push events, pull requests, issues, and other GitHub activities.
+
+**Data Source:** [alvarobartt/github-events](https://huggingface.co/datasets/alvarobartt/github-events) on Hugging Face
+
+>>>malloy
+import "github_events.malloy"
+
+>>>markdown
+## Overview Dashboard
+
+Let's start with an overview of all GitHub events in the dataset:
+
+>>>malloy
+run: github_events -> overview
+
+>>>markdown
+## Event Type Distribution
+
+Breaking down events by their type:
+
+>>>malloy
+run: github_events -> by_event_type
+
+>>>markdown
+## Top Repositories
+
+The most active repositories in the dataset:
+
+>>>malloy
+run: github_events -> by_repo
+
+>>>markdown
+## Top Contributors
+
+Who are the most active contributors?
+
+>>>malloy
+run: github_events -> top_contributors

examples/huggingface/IMDB Movies.malloynb

@@ -0,0 +1,49 @@
+>>>markdown
+# IMDB Movies Analysis
+
+Explore movie ratings, genres, and trends from the IMDB dataset. This data is sourced from Hugging Face and includes movie titles, ratings, vote counts, and more.
+
+**Data Source:** [Pablinho/imdb-data](https://huggingface.co/datasets/Pablinho/imdb-data) on Hugging Face
+
+>>>malloy
+import "imdb_movies.malloy"
+
+>>>markdown
+## Overview Dashboard
+
+A comprehensive look at the movie dataset:
+
+>>>malloy
+run: movies -> overview
+
+>>>markdown
+## Top Rated Movies
+
+The highest-rated movies with significant vote counts (>10,000 votes):
+
+>>>malloy
+run: movies -> top_rated
+
+>>>markdown
+## Most Popular Movies
+
+Movies sorted by number of votes:
+
+>>>malloy
+run: movies -> most_popular
+
+>>>markdown
+## Genre Analysis
+
+Deep dive into movie genres with rating trends over time:
+
+>>>malloy
+run: movies -> genre_analysis
+
+>>>markdown
+## Movies by Decade
+
+How has movie production and quality changed over the decades?
+
+>>>malloy
+run: movies -> by_decade

examples/huggingface/NYC Taxi Trips.malloynb

@@ -0,0 +1,57 @@
+>>>markdown
+# NYC Taxi Trips Analysis
+
+Analyze New York City yellow taxi trip data. This dataset contains trip records including pickup/dropoff times, distances, fares, tips, and payment methods.
+
+**Data Source:** [codelion/nyctaxi](https://huggingface.co/datasets/codelion/nyctaxi) on Hugging Face
+
+>>>malloy
+import "nyc_taxi.malloy"
+
+>>>markdown
+## Overview Dashboard
+
+A comprehensive look at taxi trip patterns:
+
+>>>malloy
+run: taxi_trips -> overview
+
+>>>markdown
+## Hourly Patterns
+
+When do New Yorkers take taxi rides? Let's look at trips by hour of day:
+
+>>>malloy
+run: taxi_trips -> by_hour
+
+>>>markdown
+## Daily Patterns
+
+Trip distribution across days of the week:
+
+>>>malloy
+run: taxi_trips -> by_day
+
+>>>markdown
+## Payment Analysis
+
+How do people pay for their rides, and how does tipping vary by payment method?
+
+>>>malloy
+run: taxi_trips -> by_payment
+
+>>>markdown
+## Fare Analysis by Hour
+
+Detailed breakdown of fares throughout the day:
+
+>>>malloy
+run: taxi_trips -> fare_analysis
+
+>>>markdown
+## Long Distance Trips
+
+The longest trips in the dataset:
+
+>>>malloy
+run: taxi_trips -> long_trips

examples/huggingface/github_events.malloy

@@ -0,0 +1,104 @@
+-- GitHub Events Analysis Model
+-- Analyzes GitHub activity data from Hugging Face datasets
+-- Uses: hf://datasets/alvarobartt/github-events/data/*.parquet
+
+source: github_events is duckdb.table('hf://datasets/alvarobartt/github-events/data/train-00000-of-00001.parquet') extend {
+    -- Core measures
+    measure: event_count is count()
+    measure: unique_repos is count(distinct repo.name)
+    measure: unique_actors is count(distinct actor.login)
+
+    -- Event type measures
+    measure: push_events is count() { where: `type` = 'PushEvent' }
+    measure: pr_events is count() { where: `type` = 'PullRequestEvent' }
+    measure: issue_events is count() { where: `type` = 'IssuesEvent' }
+    measure: watch_events is count() { where: `type` = 'WatchEvent' }
+    measure: fork_events is count() { where: `type` = 'ForkEvent' }
+    measure: create_events is count() { where: `type` = 'CreateEvent' }
+
+    -- Dimensions
+    dimension: event_type is `type`
+    dimension: repo_name is repo.name
+    dimension: actor_login is actor.login
+    dimension: event_date is created_at::date
+
+    -- Views
+    view: by_event_type is {
+        group_by: event_type
+        aggregate:
+            event_count
+            unique_repos
+            unique_actors
+        order_by: event_count desc
+    }
+
+    view: by_repo is {
+        group_by: repo_name
+        aggregate:
+            event_count
+            unique_actors
+        order_by: event_count desc
+        limit: 20
+    }
+
+    view: by_actor is {
+        group_by: actor_login
+        aggregate:
+            event_count
+            unique_repos
+        order_by: event_count desc
+        limit: 20
+    }
+
+    view: activity_timeline is {
+        group_by: event_date
+        aggregate:
+            event_count
+            unique_repos
+            unique_actors
+        order_by: event_date
+    }
+
+    # dashboard
+    view: overview is {
+        aggregate:
+            event_count
+            unique_repos
+            unique_actors
+            push_events
+            pr_events
+            issue_events
+            watch_events
+            fork_events
+        # bar_chart
+        nest: by_event_type
+        # bar_chart
+        nest: top_repos is by_repo
+        # line_chart
+        nest: activity_timeline
+    }
+
+    -- Top contributors view
+    view: top_contributors is {
+        group_by: actor_login
+        aggregate:
+            event_count
+            push_events
+            pr_events
+            issue_events
+        # bar_chart
+        nest: activity_by_type is {
+            group_by: event_type
+            aggregate: event_count
+        }
+        order_by: event_count desc
+        limit: 15
+    }
+}
+
+-- Named queries
+query: github_overview is github_events -> overview
+query: event_breakdown is github_events -> by_event_type
+query: top_repos is github_events -> by_repo
+query: contributors is github_events -> top_contributors
+query: timeline is github_events -> activity_timeline