global:
  scrape_interval: {{ prometheus_scrape_interval }}
  evaluation_interval: {{ prometheus_evaluation_interval }}

alerting:
  alertmanagers:
    - static_configs:
        - targets:
          - {{ alertmanager_host }}:{{ alertmanager_port }}

rule_files:
  - "alert_rules.yml"

scrape_configs:
  - job_name: 'prometheus'
    static_configs:
      - targets: ['localhost:9090']

  - job_name: 'node-exporter'
    static_configs:
      - targets: {{ prometheus_targets | to_json }}

  - job_name: 'alertmanager'
    static_configs:
      - targets: ['{{ alertmanager_host }}:{{ alertmanager_port }}']

  - job_name: 'haproxy'
    static_configs:
      - targets: ['titania.incus:8404']
    metrics_path: '/metrics'

  - job_name: 'gitea'
    static_configs:
      - targets: ['oberon.incus:22084']
    metrics_path: '/metrics'
    authorization:
      type: Bearer
      credentials: '{{ vault_gitea_metrics_token }}'

  - job_name: 'casdoor'
    static_configs:
      - targets: ['{{ casdoor_metrics_host }}:{{ casdoor_metrics_port }}']
    metrics_path: '/api/metrics'
    params:
      accessKey: ['{{ casdoor_prometheus_access_key }}']
      accessSecret: ['{{ casdoor_prometheus_access_secret }}']

  - job_name: 'daedalus'
    static_configs:
      - targets: ['{{ daedalus_metrics_host }}:{{ daedalus_metrics_port }}']
    metrics_path: '/metrics'
    scrape_interval: 15s

  # Mnemosyne — single /metrics endpoint on the app container serves both
  # django-prometheus HTTP/Celery metrics and the MCP server's tool-call
  # counters (the mcp_server.metrics module registers into the same
  # prometheus_client process registry on the Django side).  The mcp
  # container itself does not expose /metrics; run 'em on the WSGI side.
  - job_name: 'mnemosyne'
    static_configs:
      - targets: ['{{ mnemosyne_metrics_host }}:{{ mnemosyne_metrics_port }}']
    metrics_path: '/metrics'
    scrape_interval: 15s

  # Neo4j — stscoundrel/neo4j-apoc-exporter sidecar connects to the local
  # Neo4j over Bolt and exposes apoc.monitor.* (tx/ids/store) plus JVM
  # metrics on the standard metrics port (22094).  Both Ariel (LLM memory
  # via neo4j-cypher MCP) and Umbriel (Mnemosyne graph+vector DB) use the
  # same port — they are differentiated by hostname only.
  - job_name: 'neo4j'
    static_configs:
      - targets:
          - 'ariel.incus:22094'
          - 'umbriel.incus:22094'
    metrics_path: '/metrics'
    scrape_interval: 15s

# Red Panda Approved Prometheus Configuration