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EDRI

EDRI is a Python framework for building event-driven, parallel, and distributed applications. It combines messaging, task execution, and an optional API layer (REST, WebSocket, HTML) into a single coherent system.

Python License PyPI


Why EDRI?

Most Python frameworks solve one problem well:

  • Celery handles background tasks but has no API layer or pub/sub.
  • Kafka streams messages but does not execute tasks.
  • FastAPI builds APIs but lacks task distribution.

EDRI combines all three: message routing, task execution, and API exposure in one framework.


Quick start

pip install edri[uvicorn]
# main.py
from edri import EDRI
from edri.abstract import ManagerBase, request
from edri.dataclass.event import Event
from edri.dataclass.response import Response, response
from edri.api.dataclass.api_event import api
from http import HTTPMethod


@response
class HelloResponse(Response):
    message: str

@api(url="/hello/{name}", method=HTTPMethod.GET)
class Hello(Event):
    name: str
    response: HelloResponse

class HelloManager(ManagerBase):
    @request
    def greet(self, event: Hello) -> None:
        event.response.message = f"Hello, {event.name}!"

if __name__ == "__main__":
    edri = EDRI()
    edri.add_component(HelloManager(edri.router_queue))
    edri.start_api()
    edri.run()
python main.py &
curl -H "Accept: application/json" http://localhost:8080/hello/World

Full getting-started guide: Getting Started


Architecture overview

Events are the universal communication primitive. The Router dispatches them by type to subscribed Managers. Managers can delegate work to Workers (threads or processes), emit new events, or use specialized components like the Scheduler (timed events) and Key-Value Store (shared state). The API layer translates external HTTP/WS requests into events. For distributed deployments, the Switch connects routers across machines via TCP/IP.


Installation

# Core
pip install edri

# With ASGI server
pip install edri[uvicorn]    # recommended
pip install edri[hypercorn]  # HTTP/3 support
pip install edri[daphne]     # Twisted-based

# Development
pip install edri[dev]

Requirements

  • Python 3.12+
  • POSIX OS (Linux, macOS — macOS has never been tested)

Getting Started

If you're new to EDRI, start here:

  • Getting Started — installation, minimal example, next steps
  • Architecture — component model, process architecture, data flow
  • Testing — unit and integration testing guide

Core Concepts

  • Event — defining events, responses, field types, lifecycle
  • Response — response status, directives, HTTP status mapping
  • Router — dispatching, subscriptions, caching, health checks
  • Manager — event handlers, workers, lifecycle, caching
  • Worker — thread vs process, communication, event_send

API Layer

  • API — REST, WebSocket, HTML, content negotiation
  • API Event — @api(...) decorator, URL patterns, input extraction
  • Content Negotiation — Accept header handling, response wrapping, Vary
  • Download — Path vs SharedMemoryPipe, HTTP Range
  • HTML — Jinja2 templates, {% url %}, static files
  • WebSocket — connection, commands, subscription protocol
  • Validation — inject(...), built-in validators, custom validators
  • Uploads — file upload lifecycle, temporary files, workers, cleanup responsibility
  • Middleware — pipeline, auth patterns, transport-agnostic design
  • Broker — client management, WebSocket subscription trie, middleware execution

Distribution

  • Connector — Router ↔ Switch bridge, demands, resilience
  • Switch — TCP/IP hub, message protocol, connection lifecycle

Specialized Components


Operations


Examples

Example Area Documentation
REST CRUD with validation REST REST CRUD
HTML form Post/Redirect/Get HTML HTML Form
CPU-bound WorkerProcess Worker CPU Bound
Streaming ZIP via SharedMemoryPipe Worker SharedMemoryPipe
Periodic refresh + Store Scheduler Periodic Refresh
WebSocket ticket pattern WebSocket WebSocket Upload
Bearer token authentication Middleware Auth Middleware

Quick comparison with other frameworks

Feature EDRI Celery Kafka FastAPI
Task execution ✅ Built-in ✅ Workers ❌ Messaging only ❌
API layer ✅ REST/WS/HTML ❌ ❌ ✅ REST/WS
Pub/Sub ✅ Static routing ❌ ✅ Dynamic ⚠️ WS only
Middleware ✅ Full pipeline ❌ ❌ ✅ DI
Distributed ✅ Via Switch ✅ Brokers ✅ Clusters ❌
Parallelism ✅ Threads + processes ✅ Workers ⚠️ Consumers ⚠️ Async

License

MIT License.

Author

Marek Olšan (marek@olsanovi.cz)

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