Add resources for creating ML managed alerts

docs/resources/machine_learning_alert.md

@@ -0,0 +1,64 @@
+---
+# generated by https://github.com/hashicorp/terraform-plugin-docs
+page_title: "grafana_machine_learning_alert Resource - terraform-provider-grafana"
+subcategory: "Machine Learning"
+description: |-
+
+---
+
+# grafana_machine_learning_alert (Resource)
+
+
+
+## Example Usage
+
+```terraform
+resource "grafana_machine_learning_job" "test_alert_job" {
+  name            = "Test Job"
+  metric          = "tf_test_alert_job"
+  datasource_type = "prometheus"
+  datasource_uid  = "abcd12345"
+  query_params = {
+    expr = "grafanacloud_grafana_instance_active_user_count"
+  }
+}
+
+resource "grafana_machine_learning_alert" "test_job_alert" {
+  job_id            = grafana_machine_learning_job.test_alert_job.id
+  title             = "Test Alert"
+  anomaly_condition = "any"
+  threshold         = ">0.8"
+  window            = "15m"
+}
+```
+
+<!-- schema generated by tfplugindocs -->
+## Schema
+
+### Required
+
+- `title` (String) The title of the alert.
+
+### Optional
+
+- `annotations` (Map of String) Annotations to add to the alert generated in Grafana.
+- `anomaly_condition` (String) The condition for when to consider a point as anomalous.
+- `for` (String) How long values must be anomalous before firing an alert.
+- `job_id` (String) The forecast this alert belongs to.
+- `labels` (Map of String) Labels to add to the alert generated in Grafana.
+- `no_data_state` (String) How the alert should be processed when no data is returned by the underlying series
+- `outlier_id` (String) The forecast this alert belongs to.
+- `threshold` (String) The threshold of points over the window that need to be anomalous to alert.
+- `window` (String) How much time to average values over
+
+### Read-Only
+
+- `id` (String) The ID of the alert.
+
+## Import
+
+Import is supported using the following syntax:
+
+```shell
+terraform import grafana_machine_learning_alert.name "{{ id }}"
+```

examples/resources/grafana_machine_learning_alert/import.sh

@@ -0,0 +1 @@
+terraform import grafana_machine_learning_alert.name "{{ id }}"

examples/resources/grafana_machine_learning_alert/outlier_alert.tf

@@ -0,0 +1,25 @@
+resource "grafana_machine_learning_outlier_detector" "test_alert_outlier_detector" {
+  name = "Test Outlier"
+
+  metric          = "tf_test_alert_outlier"
+  datasource_type = "prometheus"
+  datasource_uid  = "AbCd12345"
+  query_params = {
+    expr = "grafanacloud_grafana_instance_active_user_count"
+  }
+  interval = 300
+
+  algorithm {
+    name        = "dbscan"
+    sensitivity = 0.5
+    config {
+      epsilon = 1.0
+    }
+  }
+}
+
+resource "grafana_machine_learning_alert" "test_outlier_alert" {
+  outlier_id = grafana_machine_learning_outlier_detector.test_alert_outlier_detector.id
+  title      = "Test Alert"
+  window     = "1h"
+}

examples/resources/grafana_machine_learning_alert/resource.tf

@@ -0,0 +1,17 @@
+resource "grafana_machine_learning_job" "test_alert_job" {
+  name            = "Test Job"
+  metric          = "tf_test_alert_job"
+  datasource_type = "prometheus"
+  datasource_uid  = "abcd12345"
+  query_params = {
+    expr = "grafanacloud_grafana_instance_active_user_count"
+  }
+}
+
+resource "grafana_machine_learning_alert" "test_job_alert" {
+  job_id            = grafana_machine_learning_job.test_alert_job.id
+  title             = "Test Alert"
+  anomaly_condition = "any"
+  threshold         = ">0.8"
+  window            = "15m"
+}

go.mod

@@ -12,7 +12,7 @@ require (
 	github.com/grafana/amixr-api-go-client v0.0.12 // main branch
 	github.com/grafana/grafana-com-public-clients/go/gcom v0.0.0-20240322153219-42c6a1d2bcab
 	github.com/grafana/grafana-openapi-client-go v0.0.0-20240523010106-657d101fcbd9
-	github.com/grafana/machine-learning-go-client v0.7.0
+	github.com/grafana/machine-learning-go-client v0.8.0
 	github.com/grafana/slo-openapi-client/go v0.0.0-20240626093634-e6741482b090
 	github.com/grafana/synthetic-monitoring-agent v0.24.3
 	github.com/grafana/synthetic-monitoring-api-go-client v0.8.0
@@ -30,6 +30,7 @@ require (
 	github.com/hashicorp/terraform-plugin-go v0.23.0
 	github.com/hashicorp/terraform-plugin-mux v0.16.0
 	github.com/hashicorp/terraform-plugin-sdk/v2 v2.34.0
+	github.com/prometheus/common v0.53.0
 	github.com/stretchr/testify v1.9.0
 	github.com/tmccombs/hcl2json v0.6.3
 	github.com/urfave/cli/v2 v2.27.2
@@ -129,7 +130,6 @@ require (
 	github.com/posener/complete v1.2.3 // indirect
 	github.com/prometheus/client_golang v1.19.1 // indirect
 	github.com/prometheus/client_model v0.6.1 // indirect
-	github.com/prometheus/common v0.53.0 // indirect
 	github.com/prometheus/procfs v0.14.0 // indirect
 	github.com/russross/blackfriday/v2 v2.1.0 // indirect
 	github.com/shopspring/decimal v1.3.1 // indirect

go.sum

@@ -142,8 +142,8 @@ github.com/grafana/grafana-openapi-client-go v0.0.0-20240523010106-657d101fcbd9
 github.com/grafana/grafana-openapi-client-go v0.0.0-20240523010106-657d101fcbd9/go.mod h1:hiZnMmXc9KXNUlvkV2BKFsiWuIFF/fF4wGgYWEjBitI=
 github.com/grafana/grafana-plugin-sdk-go v0.235.0 h1:UnZ/iBDvCkfDgwR94opi8trAWJXv4V8Qr1ocJKRRmqA=
 github.com/grafana/grafana-plugin-sdk-go v0.235.0/go.mod h1:6n9LbrjGL3xAATntYVNcIi90G9BVHRJjzHKz5FXVfWw=
-github.com/grafana/machine-learning-go-client v0.7.0 h1:yiRBg8rCNbHh9BURa+vtZ8ItRYvabbdYAtsAOfxoFPI=
-github.com/grafana/machine-learning-go-client v0.7.0/go.mod h1:bKsLSJTreH7HXaL2FJnnrliMuP0L8XwMkXte6AgwFFg=
+github.com/grafana/machine-learning-go-client v0.8.0 h1:N8+0f5aFM/umVJWvlJkJy9McVIp9MIBUtuNruug94II=
+github.com/grafana/machine-learning-go-client v0.8.0/go.mod h1:9xRIoH6Y6RubuCPNjLfpckE/fLVe9dazg3HSLI1ARAU=
 github.com/grafana/otel-profiling-go v0.5.1 h1:stVPKAFZSa7eGiqbYuG25VcqYksR6iWvF3YH66t4qL8=
 github.com/grafana/otel-profiling-go v0.5.1/go.mod h1:ftN/t5A/4gQI19/8MoWurBEtC6gFw8Dns1sJZ9W4Tls=
 github.com/grafana/pyroscope-go/godeltaprof v0.1.7 h1:C11j63y7gymiW8VugJ9ZW0pWfxTZugdSJyC48olk5KY=