task-framework-py 0.0.13b0

A Python library for building task-based workflows with scheduling, webhooks, artifact management, and observability

Task Framework

A Python library for building and executing task-based workflows with built-in support for scheduling, webhooks, artifact management, and observability.

Features

• Multi-Task Server: Deploy multiple task definitions to a single server, each with isolated execution environments
• Thread Execution: Run tasks synchronously or asynchronously with full state management
• Artifact Management: Track inputs and outputs with support for JSON, text, and file artifacts
• File Storage: Pluggable file storage interface with local filesystem and pre-signed URL support
• Scheduling: Cron-based scheduling with APScheduler integration
• Webhooks: Event-driven notifications with automatic retry and delivery tracking
• Observability: Built-in Prometheus metrics and structured logging
• OpenAPI 3.1.0: Auto-generated API documentation at /docs

Installation

pip install task-framework-py

Or with uv:

uv add task-framework-py

Quick Start

Multi-Task Server

The Task Framework runs as a server that can host multiple task definitions. Each task is packaged as a zip file with its code and metadata.

Start a task server:

# Start server with auto-discovery from task_definitions/ directory
task-framework serve --host 0.0.0.0 --port 3000

# Or for development, load a task from source
task-framework serve --dev-task /path/to/my-task/

Deploy a task via API:

curl -X POST http://localhost:3000/admin/tasks \
  -H "X-API-Key: your-admin-key" \
  -F "file=@my-task-1.0.0.zip"

Task Zip Structure:

my-task-1.0.0.zip/
  task_metadata.json    # Task metadata and schemas
  task.py              # Task implementation
  pyproject.toml       # Dependencies (optional)

Example Task Function:

async def my_task(context):
    # Get input artifacts
    inputs = await context.get_input_artifacts()
    
    # Process inputs
    result = {"message": "Task completed", "input_count": len(inputs)}
    
    # Publish output
    from task_framework.models.artifact import Artifact
    await context.publish_output_artifacts([
        Artifact(kind="json", value=result, media_type="application/json")
    ])

## API Usage

### Create a Thread (Execute Task)

```bash
curl -X POST http://localhost:3000/threads \
  -H "X-API-Key: your-api-key" \
  -H "X-User-Id: user123" \
  -H "X-App-Id: app456" \
  -H "Content-Type: application/json" \
  -d '{
    "mode": "sync",
    "inputs": [{"kind": "json", "value": {"data": "test"}}]
  }'

In multi-task mode, add ?task_id=my-task&version=1.0.0 query parameters.

List Threads

curl http://localhost:3000/threads \
  -H "X-API-Key: your-api-key" \
  -H "X-User-Id: user123" \
  -H "X-App-Id: app456"

Health Check

curl http://localhost:3000/health

Task Package Format

A task package is a zip file containing:

my-task-1.0.0.zip/
  task_metadata.json    # Task metadata
  task.py              # Task implementation
  pyproject.toml       # Dependencies

Example task_metadata.json:

{
  "name": "my-task",
  "version": "1.0.0",
  "description": "My task description",
  "entry_point": "task:my_task_function",
  "input_schemas": [
    {"kind": "json", "media_type": "application/json", "required": true}
  ],
  "output_schemas": [
    {"kind": "json", "media_type": "application/json"}
  ]
}

Documentation

• API Documentation: Start the server and visit /docs for interactive Swagger UI
• User Guide: See docs/user/ for getting started guides
• Architecture: See docs/architecture/ for system design documentation
• Feature Documentation: See docs/features/ for detailed feature documentation

Authentication

The framework uses API key authentication via the X-API-Key header:

• Regular API Keys: Require user_id and app_id metadata for access control
• Admin API Keys: Full access to all endpoints including /admin/* routes

Public endpoints (no authentication required):

• GET /health - Health check
• GET /metrics - Prometheus metrics
• GET /task/metadata - Task metadata discovery

Requirements

• Python 3.13+
• FastAPI
• Pydantic 2.x
• uvicorn

License

MIT License - see LICENSE file for details.

Contributing

Contributions are welcome! Please see the development documentation in docs/developer/ for setup instructions.