Ships the Portainer backup executor. Co-Authored-By: Claude <noreply@anthropic.com>
10 KiB
10 KiB
Changelog
All notable changes to The Scheduler will be documented in this file.
The format is based on Keep a Changelog.
[Unreleased]
[1.4.0] - 2026-08-08
Added
- Portainer Backup Executor (
portainer_backup_executor.py) — archives Portainer's own state through its/api/backupendpoint. Portainer's BoltDB lives in a Docker volume that the daily config backup does not cover, so losing that volume would take every stack definition with it. Uses the API rather than tarring the live volume, and rejects a 200 whose body is not a readable archive.
[1.3.0] - 2026-08-08
Added
- Postgres Retention Executor (
postgres_retention_executor.py) — deletes rows past a retention window from a table on the shared Postgres server. Uses the Scheduler's own credentials with only the database name overridden, so the target database grantsscheduler_userSELECT and DELETE on the table. - Docker Prune Executor (
docker_prune_executor.py) — scheduled reclaim of Docker disk usage. Build cache and dangling images are pruned by default; unused images and volumes are opt-in, since volume pruning also removes volumes belonging to stopped containers.
Fixed
POST /tasksreturned HTTP 500 after successfully creating the task. The response model declaredcreated_at/updated_atas strings while the database returns timestamps, so every create looked like a failure and retrying hit a duplicate-key error.
Changed
TASK_REGISTRATION.mdnow lists the executors that exist. It previously advertisedshell,pythonanddockerexecutors that were never implemented.
[1.2.0] - 2026-03-30
Added
- GCS Backup Executor (
gcs_backup_executor.py) — offsite backup to Google Cloud Storage.
[1.1.3] - 2026-01-08
Changed
- Test release to validate CI/CD auto-deploy workflow
[1.1.2] - 2026-01-03
Fixed
- CI: Use curl for release creation (release-action requires Go)
[1.1.1] - 2026-01-03
Changed
- CI: Auto-create Gitea release on version tag push (v*) instead of manual release trigger
[1.1.0] - 2025-12-14
Added
- Gitea Release Cleanup Executor (
gitea_release_cleanup_executor.py)- Automatically cleans up old releases across all Gitea repositories
- Configurable retention count (default: 5 releases per repo)
- Repository exclusion list support
- Dry-run mode for safe testing
- Designed to run before Watchtower to prevent image tag accumulation
- GITEA_TOKEN setting in config for API token authentication (separate from password)
[1.0.4] - 2025-12-14
Fixed
- CI/CD: Correct Watchtower port (8080)
[1.0.3] - 2025-12-14
Added
- CI/CD: Trigger Watchtower update after successful Docker build
[1.0.2] - 2025-12-14
Fixed
- Removed unused
setup_database.sqlfrom Dockerfile (database schema managed externally)
[1.0.1] - 2025-12-14
Changed
- Version tracking now uses pyproject.toml as single source of truth
- Added
pyproject.tomlwith project metadata and dependencies config.pyreads version from pyproject.toml usingtomllib- FastAPI app title and version dynamically loaded from config
- Health endpoint now includes version in response
- Dockerfile updated to include pyproject.toml
- Added
[1.0.0] - 2025-12-07
Added
Core Scheduling System
- Hybrid APScheduler + PostgreSQL architecture for minute-based task scheduling
- Single scheduler job runs every minute
- Queries database for tasks scheduled for current minute
- Executes up to 5 tasks concurrently by priority
- Priority queue system (1-100, lower = higher priority)
- Cron-like scheduling with wildcard support (
-1= any)- Supports minute, hour, day_of_month, month, day_of_week patterns
- Flexible scheduling from every-minute to specific dates
- Task execution tracking with full audit trail
- Database tables:
scheduled_tasks(definitions) andtask_executions(history) - Tracks status, duration, output, errors, and retry attempts
- Execution metadata stored as JSONB
- Database tables:
REST API
- Full CRUD API for task management with FastAPI
POST /tasks- Create new scheduled taskGET /tasks- List all tasks with filtering (service, enabled)GET /tasks/{name}- Get task detailsPUT /tasks/{name}- Update task configurationDELETE /tasks/{name}- Remove taskPOST /tasks/{name}/trigger- Manually trigger task execution
- Execution history endpoints
GET /executions- Query execution history- Filter by task_name, status, service
- Pagination support (limit parameter)
- System monitoring endpoints
GET /health- Health checkGET /stats- System statistics (enabled tasks, running tasks, 24h execution counts)
- API Key authentication (Bearer token) for all protected endpoints
- OpenAPI documentation at
/docs
Task Executors
- Example Executor (
example_executor.py)- Simple test implementation with configurable message and delay
- Demonstrates executor pattern
- Documentation Sync Executor (
doc_sync_executor.py)- Mirrors documentation from upstream Git repositories to Gitea
- Supports full repository mirroring or selective path syncing
- Creates date-tagged snapshots (YYYY-MM-DD format)
- Generates
.SYNC_INFO.mdwith sync metadata - Configurable upstream repo, paths, branch, and Gitea destination
- Config Backup Executor (
config_backup_executor.py)- Backs up Docker configurations and data directories
- Supports multiple source paths with exclusion patterns
- Optional compression (tar.gz)
- Retention policy (days-based cleanup)
- Creates timestamped backups
Pre-configured Tasks
- FastAPI Documentation Sync (monthly on 11th at 04:00)
- Syncs entire FastAPI repository to
library/docs-fastapi - Priority: 60 (maintenance)
- Syncs entire FastAPI repository to
- Ollama Documentation Sync (monthly on 12th at 04:00)
- Syncs only
/docsfolder from Ollama repository tolibrary/docs-ollama - Priority: 60 (maintenance)
- Syncs only
- Docker Config Backup (daily at 03:05)
- Backs up Docker data and configurations
- Priority: 20 (user task)
- 30-day retention
- Example Test Task (every minute, can be disabled)
- Test task for validation
- Priority: 50 (maintenance)
Testing Infrastructure
- Comprehensive test suite with 80% code coverage
- 85 total tests across multiple test files
- Pytest configuration with markers (unit, integration, api, executor)
- Coverage reporting with pytest-cov
- Test categories:
- Unit tests: Fast tests with mocked dependencies
- API tests: Comprehensive endpoint testing (24 tests)
- Executor tests: Task executor validation
- Integration tests: Real database operations
- Test database setup
- Dedicated
test_schedulerdatabase on postgres-shared - Automatic schema creation and cleanup
- Database fixtures for clean test state
- Test user:
test_scheduler_user
- Dedicated
- Test fixtures (conftest.py)
- Mock database connections
- Mock scheduler and executor
- Sample task data
- Authentication headers
- Clean database state management
Documentation
- Comprehensive README.md (500+ lines)
- Architecture overview with ASCII diagram
- Quick start guide
- Complete API reference with curl examples
- Task scheduling patterns and examples
- Executor development guide
- Testing guide with coverage metrics
- Development and debugging information
- Security and performance notes
- Test database setup guide (test_database_setup.sql)
- SQL script for creating test environment
- Schema matching production
- Test data fixtures
Configuration
- Pydantic Settings for environment-based configuration
- PostgreSQL connection settings
- Redis connection (for future use)
- Gitea authentication
- API key configuration
- Computed properties (database_url, redis_url)
- Docker stack configuration (stacks/scheduler.yml)
- Virtual environment setup on startup
- Git configuration for librarian user
- Health checks
- Network isolation (docker-dataplane)
- Resource limits
Technical Details
Database Schema
scheduled_tasks:
- Task definitions/templates
- Scheduling configuration (minute/hour/day patterns)
- Priority, enabled status, retry settings
- Task configuration as JSONB
- Execution tracking fields
task_executions:
- Individual execution records
- Status tracking (pending, running, success, failed, timeout)
- Duration and timestamp tracking
- Output and error details
- Metadata as JSONB
Performance
- Minute-based processing with lightweight scheduler ticks
- Connection pooling for database efficiency
- Database indexes for optimized task queries
- Concurrent execution with configurable limit (default: 5)
- Priority-based execution order
Security
- API key authentication required for protected endpoints
- Network isolation on docker-dataplane
- Environment variable-based secrets
- Gitea token authentication for git operations
- Database credentials in environment
Dependencies
- FastAPI (web framework)
- APScheduler (task scheduling)
- psycopg2-binary (PostgreSQL driver)
- Pydantic (configuration management)
- pytest + pytest-asyncio + pytest-cov (testing)
- GitPython (git operations)
Coverage Metrics
Module Coverage
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
config.py 100% ✅
example_executor.py 100% ✅
main.py (API endpoints) 95% ✅
doc_sync_executor.py 78% ✅
executor.py (core logic) 71% ✅
config_backup_executor.py 50% 📈
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
TOTAL 80% 🎯
[Unreleased]
Planned
- Redis integration for distributed locking
- Webhook notifications for task completion
- Task dependencies (run task B after task A succeeds)
- Task groups and tags
- More executors (database backup, log rotation, etc.)
- Web UI for task management
- Metrics export (Prometheus)
- Advanced scheduling (last business day of month, etc.)