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A modular process environment framework: observability, server, and services — all driven by YAML config

Project description

ProcessPype

CI codecov Python 3.13+ PyPI License: MIT Docs

A modular application framework for building service-oriented Python applications with FastAPI integration, structured logging, and a clear service lifecycle.

Features

  • Service Framework: Define services with a clear lifecycle (initialize, configure, start, stop) and automatic REST API endpoints
  • FastAPI Integration: Each service automatically gets HTTP endpoints for status, start, stop, and configuration
  • Configuration Management: YAML file, environment variable, and programmatic configuration with Pydantic models
  • Pure Framework: No built-in services — provides the infrastructure for building your own with clear patterns and examples
  • REST API: Application-level endpoints for service discovery, registration, and lifecycle management
  • Observability: Structured logging with multiple formatters (JSON, color, text), log redaction, and OpenTelemetry tracing support (Logfire, OTLP gRPC/HTTP, console)
  • Type Safe: Fully typed with MyPy strict mode
  • Well Tested: Comprehensive test suite with high coverage

Installation

# Using pip
pip install processpype

# Using uv
uv add processpype

Quick Start

import asyncio
from processpype import Application, ProcessPypeConfig, Service, ServiceManager, ServiceConfiguration


class GreeterManager(ServiceManager):
    async def start(self) -> None:
        self.logger.info("Greeter ready")

    async def stop(self) -> None:
        self.logger.info("Greeter stopped")


class GreeterService(Service):
    configuration_class = ServiceConfiguration

    def create_manager(self) -> GreeterManager:
        return GreeterManager(self.logger)

    def requires_configuration(self) -> bool:
        return False


async def main() -> None:
    config = ProcessPypeConfig(
        app={"title": "Hello App"},
        server={"port": 8080},
    )
    async with Application(config) as app:
        await app.initialize()
        service = app.register_service(GreeterService)
        await app.start_service(service.name)


asyncio.run(main())

Core Components

  • Application: Central orchestrator that manages the FastAPI server, configuration, and service lifecycle

    • Application(config): Create an instance with a ProcessPypeConfig
    • app.register_service(ServiceClass): Register and wire a service into the application
    • app.start_service(name) / app.stop_service(name): Lifecycle control
  • Service: Abstract base class for all services — implement create_manager() and optionally create_router()

    • Automatic REST endpoints: GET /services/{name}, POST /services/{name}/start, POST /services/{name}/stop
    • Built-in state machine: INITIALIZED → CONFIGURED → STARTING → RUNNING → STOPPING → STOPPED
  • ServiceManager: Handles business logic for a service — implement start() and stop()

  • Configuration: Hierarchical ProcessPypeConfig with app, server, and logging sections — Pydantic-validated, loadable from YAML files, environment variables, or kwargs

Documentation

Full documentation is available at gianlucapagliara.github.io/processpype.

Development

ProcessPype uses uv for dependency management and packaging:

# Install dependencies
uv sync

# Run tests
uv run pytest

# Run type checks
uv run mypy processpype

# Run linting
uv run ruff check .

# Run pre-commit hooks
uv run pre-commit run --all-files

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