Files
scheduler/TASK_REGISTRATION.md
T
jpmschweitzerandClaude cfabe1b4d1 docs: correct the executor list in TASK_REGISTRATION
The "Other Executors" section advertised shell, python and docker
executors that were never implemented, and omitted every executor that
was. The missing shell executor in particular sent a recent piece of
work down the wrong path before the gap was noticed.

Lists the modules that actually exist and documents the config for the
two new ones.

Co-Authored-By: Claude <noreply@anthropic.com>
2026-08-08 11:00:42 +02:00

11 KiB

Scheduler Task Registration Guide

Overview

The Scheduler is DB-driven (not YAML-based). Tasks are registered via REST API and stored in PostgreSQL.

Quick Reference

Register a New Task

curl -X POST http://192.168.86.149:8090/tasks \
  -H "Authorization: Bearer $SCHEDULER_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "task_name": "my_task",
    "service": "my-service",
    "executor": "rest_api",
    "priority": 25,
    "description": "Task description",
    "minute": 0,
    "hour": -1,
    "config": {
      "method": "POST",
      "url": "http://service:port/endpoint",
      "headers": {
        "Authorization": "Bearer ${ENV_VAR}"
      },
      "body": {}
    }
  }'

List All Tasks

curl http://192.168.86.149:8090/tasks \
  -H "Authorization: Bearer $SCHEDULER_API_KEY"

Trigger Task Manually

curl -X POST http://192.168.86.149:8090/tasks/{task_name}/trigger \
  -H "Authorization: Bearer $SCHEDULER_API_KEY"

View Task Execution History

curl http://192.168.86.149:8090/executions?task_name={task_name} \
  -H "Authorization: Bearer $SCHEDULER_API_KEY"

Schedule Patterns

Use cron-style fields where -1 means "every":

Pattern minute hour day_of_month month day_of_week Description
Every minute -1 -1 -1 -1 -1 Runs every minute
Hourly 0 -1 -1 -1 -1 Runs at minute 0 of every hour
Daily at 2 AM 0 2 -1 -1 -1 Runs at 2:00 AM every day
Weekly (Monday 2 AM) 0 2 -1 -1 0 Runs at 2:00 AM every Monday
Monthly (1st at 2 AM) 0 2 1 -1 -1 Runs at 2:00 AM on 1st of month

Note: day_of_week is 0-6 (Monday-Sunday)

Priority Levels

Priority Range Level Use Cases
1-5 Emergency/System Critical system tasks
10-30 User User-initiated tasks
40-70 Maintenance Background maintenance
70+ Low Low priority cleanup

Executor Types

rest_api Executor

Calls HTTP endpoints. Supports environment variable substitution in headers/body.

Config Format:

{
  "method": "POST|GET|PUT|DELETE|PATCH",
  "url": "http://service:port/endpoint",
  "headers": {
    "Authorization": "Bearer ${ENV_VAR}",
    "Content-Type": "application/json"
  },
  "body": {
    "key": "value"
  },
  "timeout": 30,
  "auth": {
    "type": "bearer|basic|api_key",
    "value": "${TOKEN_ENV_VAR}"
  }
}

Environment Variables: Use ${VAR_NAME} syntax to reference env vars from the scheduler container.

Other Executors

The executor field is the module name under src/executors/. These are the modules that actually exist:

  • config_backup_executor: tar.gz backup of mounted directories, with retention
  • gcs_backup_executor: offsite backup to Google Cloud Storage
  • doc_sync_executor: mirror upstream docs into Gitea
  • gitea_release_cleanup_executor: drop old Gitea releases, keeping the newest N
  • postgres_retention_executor: delete rows past a retention window (see below)
  • docker_prune_executor: reclaim Docker disk usage (see below)
  • example_executor: demo/test

There is no shell or python executor. Earlier revisions of this document listed them and they were never implemented; work needing a shell belongs either in a purpose-built executor or on a host systemd timer.

postgres_retention_executor

Connects with the Scheduler's own Postgres credentials, overriding only the database name, so the target database must grant scheduler_user SELECT and DELETE on the table. Table and column names are validated against a strict identifier pattern because they cannot be bound as query parameters.

{
  "database": "sysmon",
  "table": "check_history",
  "timestamp_column": "ts",
  "retention_days": 30,
  "dry_run": false
}

docker_prune_executor

Uses the docker socket already mounted into the container. Only the two stages that discard regenerable data are on by default.

{
  "build_cache": true,
  "dangling_images": true,
  "unused_images": false,
  "volumes": false,
  "build_cache_until_hours": 168,
  "dry_run": false
}

volumes removes volumes belonging to merely-stopped containers, not just orphaned ones. Leave it off unless you have checked what is currently unattached; on this host it is a plausible way to lose a database.

Complete Task Schema

Required Fields

  • task_name (string): Unique task identifier
  • service (string): Service that owns this task (e.g., "library-desk", "core-api")
  • executor (string): Executor type ("rest_api", "shell", etc.)
  • priority (int): Priority level (1-100)

Optional Fields

  • description (string): Human-readable description
  • minute (int): -1 to 59, default: -1 (every minute)
  • hour (int): -1 to 23, default: -1 (every hour)
  • day_of_month (int): -1 to 31, default: -1 (every day)
  • month (int): -1 to 12, default: -1 (every month)
  • day_of_week (int): -1 to 6, default: -1 (every day)
  • enabled (bool): Whether task is enabled, default: true
  • max_retries (int): Max retry attempts, default: 3
  • timeout_seconds (int): Execution timeout, default: 3600
  • config (object): Executor-specific configuration
  • created_by (string): Creator identifier, default: "api"

Example: Librarian Knowledge Consolidation

This task processes unprocessed search queries and consolidates knowledge into wiki pages.

Registration:

curl -X POST http://192.168.86.149:8090/tasks \
  -H "Authorization: Bearer $SCHEDULER_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "task_name": "librarian_consolidation",
    "service": "library-desk",
    "executor": "rest_api",
    "priority": 25,
    "description": "Processes unprocessed search queries and consolidates knowledge",
    "minute": 0,
    "hour": -1,
    "config": {
      "method": "POST",
      "url": "http://library-desk:8089/consolidation/run",
      "headers": {
        "Authorization": "Bearer ${LIBRARY_API_KEY}",
        "Content-Type": "application/json"
      },
      "body": {
        "dry_run": false,
        "process_limit": 10,
        "lookback_days": 7,
        "min_web_results": 2
      }
    }
  }'

Schedule: Runs hourly (at minute 0 of every hour)

What it does:

  1. Queries Neo4j for unprocessed SearchQuery nodes
  2. Analyzes web results with Ollama
  3. Creates/updates wiki pages via WikiPageWriter
  4. Extracts and adds new entities to knowledge graph
  5. Marks searches as processed

API Endpoints

Method Endpoint Description
GET /tasks List all tasks
GET /tasks/{task_name} Get task details
POST /tasks Create new task
PUT /tasks/{task_name} Update task
DELETE /tasks/{task_name} Delete task
POST /tasks/{task_name}/trigger Manually trigger task
GET /executions View execution history
GET /stats Get scheduler statistics
GET /health Health check

Interactive Documentation

Visit http://192.168.86.149:8090/docs for interactive Swagger UI with:

  • Full API documentation
  • Request/response schemas
  • Try-it-out functionality
  • Example payloads

Environment Variables

Get API keys from containers:

# Scheduler API key
docker exec scheduler printenv SCHEDULER_API_KEY

# Library Desk API key
docker exec library-desk printenv LIBRARY_API_KEY

Task Management Tips

  1. Test with dry_run: Set enabled: false initially or use dry_run in task config
  2. Monitor executions: Check /executions endpoint regularly
  3. Start conservative: Use longer intervals (hourly, daily) before going to frequent runs
  4. Use priorities wisely: Reserve 1-10 for critical tasks, use 20-30 for user tasks
  5. Set timeouts appropriately: Long-running tasks need higher timeout_seconds

Troubleshooting

Task not running

  1. Check if task is enabled: GET /tasks/{task_name}
  2. Check execution history: GET /executions?task_name={task_name}
  3. Verify schedule matches current time
  4. Check scheduler logs: docker logs scheduler

Task failing

  1. Check execution history for error messages
  2. Verify endpoint is accessible from scheduler container
  3. Test endpoint manually with curl
  4. Check API keys and authentication
  5. Verify executor configuration (especially for rest_api)

Debug a task

# Get task details
curl http://192.168.86.149:8090/tasks/librarian_consolidation \
  -H "Authorization: Bearer $SCHEDULER_API_KEY"

# View recent executions
curl http://192.168.86.149:8090/executions?task_name=librarian_consolidation&limit=5 \
  -H "Authorization: Bearer $SCHEDULER_API_KEY"

# Trigger manually
curl -X POST http://192.168.86.149:8090/tasks/librarian_consolidation/trigger \
  -H "Authorization: Bearer $SCHEDULER_API_KEY"

Architecture

┌─────────────────────────────────────────────────────────┐
│  The Scheduler (AsyncIOScheduler)                       │
│                                                          │
│  ┌────────────────────────────────────────────┐        │
│  │  Cron Job (every minute)                   │        │
│  │  ↓                                          │        │
│  │  Query PostgreSQL for tasks scheduled      │        │
│  │  for current minute/hour/day               │        │
│  │  ↓                                          │        │
│  │  Execute up to 5 tasks concurrently        │        │
│  │  (based on priority)                       │        │
│  │  ↓                                          │        │
│  │  Call appropriate executor:                │        │
│  │  - rest_api → HTTP request                │        │
│  │  - shell → subprocess                      │        │
│  │  - python → exec                           │        │
│  └────────────────────────────────────────────┘        │
│                                                          │
│  PostgreSQL:                                            │
│  - scheduled_tasks (task definitions)                  │
│  - task_executions (execution history)                 │
└─────────────────────────────────────────────────────────┘

Current Registered Tasks

As of 2025-12-09:

  1. backup_docker_configs_daily - Daily at 3:05 AM
  2. librarian_consolidation - Hourly (minute 0)
  3. test_example_task - Every minute (testing)
  4. sync_fastapi_docs_monthly - 11th of month at 4:00 AM
  5. sync_ollama_docs_monthly - 12th of month at 4:00 AM