apiVersion: 1

groups:
  - orgId: 1
    name: airflow_health_group
    folder: Airflow Alerts
    interval: 30s
    rules:
      # --- Alert: Airflow Scheduler Down ---
      - uid: airflow_scheduler_down
        title: Airflow Scheduler Down
        condition: C
        data:
          - refId: A
            relativeTimeRange:
              from: 300
              to: 0
            datasourceUid: prometheus_uid
            model:
              datasource:
                type: prometheus
                uid: prometheus_uid
              editorMode: code
              expr: rate(airflow_scheduler_heartbeat_total[5m])
              instant: false
              intervalMs: 1000
              legendFormat: __auto
              maxDataPoints: 43200
              range: true
              refId: A
          - refId: B
            datasourceUid: __expr__
            model:
              conditions:
                - evaluator:
                    params:
                      - 0.1
                    type: lt
                  operator:
                    type: and
                  query:
                    params:
                      - B
                  reducer:
                    params: []
                    type: last
                  type: query
              datasource:
                type: __expr__
                uid: __expr__
              expression: A
              intervalMs: 1000
              maxDataPoints: 43200
              refId: B
              type: threshold
          - refId: C
            datasourceUid: __expr__
            model:
              conditions:
                - evaluator:
                    params:
                      - 0
                    type: gt
                  operator:
                    type: and
                  query:
                    params:
                      - C
                  reducer:
                    params: []
                    type: last
                  type: query
              datasource:
                type: __expr__
                uid: __expr__
              expression: B
              intervalMs: 1000
              maxDataPoints: 43200
              refId: C
              type: threshold
        noDataState: Alerting
        execErrState: Error
        for: 2m
        annotations:
          summary: "Airflow scheduler не отправляет heartbeats"
          description: "Scheduler possible down — rate(airflow_scheduler_heartbeat_total) < 0.1 в течение 2 минут"
        labels:
          severity: critical

      # --- Alert: Airflow Queue Backlog ---
      - uid: airflow_queue_high
        title: Airflow Queue Backlog
        condition: C
        data:
          - refId: A
            relativeTimeRange:
              from: 300
              to: 0
            datasourceUid: prometheus_uid
            model:
              datasource:
                type: prometheus
                uid: prometheus_uid
              editorMode: code
              expr: airflow_executor_queued_tasks
              instant: false
              intervalMs: 1000
              legendFormat: __auto
              maxDataPoints: 43200
              range: true
              refId: A
          - refId: B
            datasourceUid: __expr__
            model:
              conditions:
                - evaluator:
                    params:
                      - 50
                    type: gt
                  operator:
                    type: and
                  query:
                    params:
                      - B
                  reducer:
                    params: []
                    type: last
                  type: query
              datasource:
                type: __expr__
                uid: __expr__
              expression: A
              intervalMs: 1000
              maxDataPoints: 43200
              refId: B
              type: threshold
          - refId: C
            datasourceUid: __expr__
            model:
              conditions:
                - evaluator:
                    params:
                      - 0
                    type: gt
                  operator:
                    type: and
                  query:
                    params:
                      - C
                  reducer:
                    params: []
                    type: last
                  type: query
              datasource:
                type: __expr__
                uid: __expr__
              expression: B
              intervalMs: 1000
              maxDataPoints: 43200
              refId: C
              type: threshold
        noDataState: OK
        execErrState: Error
        for: 5m
        annotations:
          summary: "В очереди Airflow > 50 задач"
          description: "airflow_executor_queued_tasks = {{ $values.A }} (превышает 50 в течение 5 минут) — возможна перегрузка"
        labels:
          severity: warning

      # --- Alert: High Task Failure Rate ---
      - uid: airflow_task_failures_high
        title: High Task Failure Rate
        condition: C
        data:
          - refId: A
            relativeTimeRange:
              from: 300
              to: 0
            datasourceUid: prometheus_uid
            model:
              datasource:
                type: prometheus
                uid: prometheus_uid
              editorMode: code
              expr: rate(airflow_task_failures_total[5m])
              instant: false
              intervalMs: 1000
              legendFormat: __auto
              maxDataPoints: 43200
              range: true
              refId: A
          - refId: B
            datasourceUid: __expr__
            model:
              conditions:
                - evaluator:
                    params:
                      - 0.1
                    type: gt
                  operator:
                    type: and
                  query:
                    params:
                      - B
                  reducer:
                    params: []
                    type: last
                  type: query
              datasource:
                type: __expr__
                uid: __expr__
              expression: A
              intervalMs: 1000
              maxDataPoints: 43200
              refId: B
              type: threshold
          - refId: C
            datasourceUid: __expr__
            model:
              conditions:
                - evaluator:
                    params:
                      - 0
                    type: gt
                  operator:
                    type: and
                  query:
                    params:
                      - C
                  reducer:
                    params: []
                    type: last
                  type: query
              datasource:
                type: __expr__
                uid: __expr__
              expression: B
              intervalMs: 1000
              maxDataPoints: 43200
              refId: C
              type: threshold
        noDataState: OK
        execErrState: Error
        for: 3m
        annotations:
          summary: "Высокий rate падений тасков"
          description: "rate(airflow_task_failures_total) = {{ $values.A }} (превышает 0.1 в течение 3 минут) — проверьте логи DAG"
        labels:
          severity: warning

      # --- Alert: High DAG Parse Time ---
      - uid: airflow_parse_time_high
        title: High DAG Parse Time
        condition: C
        data:
          - refId: A
            relativeTimeRange:
              from: 300
              to: 0
            datasourceUid: prometheus_uid
            model:
              datasource:
                type: prometheus
                uid: prometheus_uid
              editorMode: code
              expr: airflow_dag_processing_total_parse_time
              instant: false
              intervalMs: 1000
              legendFormat: __auto
              maxDataPoints: 43200
              range: true
              refId: A
          - refId: B
            datasourceUid: __expr__
            model:
              conditions:
                - evaluator:
                    params:
                      - 30
                    type: gt
                  operator:
                    type: and
                  query:
                    params:
                      - B
                  reducer:
                    params: []
                    type: last
                  type: query
              datasource:
                type: __expr__
                uid: __expr__
              expression: A
              intervalMs: 1000
              maxDataPoints: 43200
              refId: B
              type: threshold
          - refId: C
            datasourceUid: __expr__
            model:
              conditions:
                - evaluator:
                    params:
                      - 0
                    type: gt
                  operator:
                    type: and
                  query:
                    params:
                      - C
                  reducer:
                    params: []
                    type: last
                  type: query
              datasource:
                type: __expr__
                uid: __expr__
              expression: B
              intervalMs: 1000
              maxDataPoints: 43200
              refId: C
              type: threshold
        noDataState: OK
        execErrState: Error
        for: 5m
        annotations:
          summary: "Парсинг DAG занимает > 30 секунд"
          description: "airflow_dag_processing_total_parse_time = {{ $values.A }}s — возможно, есть тяжелые DAG"
        labels:
          severity: info