uhttp-workers 1.0.0

Multi-process worker dispatcher built on uhttp-server

uhttp-workers

Multi-process worker dispatcher built on uhttp-server.

Single dispatcher process handles all connections, N worker processes handle business logic in parallel. Communication via multiprocessing.Queue with efficient select() integration (POSIX only).

Architecture

                                    ┌─────────────┐
                                    │  Worker 0   │
                                    │  Worker 1   │
                 request_queue A    │  Worker 2   │
              ┌────────────────►    │  Worker 3   │  ComputeWorker
              │                     └──────┬──────┘
              │                            │
┌─────────────┤                            │
│             │                     ┌──────┴──────┐
│ Dispatcher  │  request_queue B    │  Worker 0   │
│  (main)     ├────────────────►    │  Worker 1   │  StorageWorker
│             │                     └──────┬──────┘
│  - static   │                            │
│  - sync     │    response_queue          │
│  - auth     │◄───────────────────────────┘
│             │    (shared)
└─────────────┘

Key design decisions:

• Sockets never leave the dispatcher — only serializable data goes through queues
• Each worker pool has its own request queue, all pools share one response queue
• Workers send heartbeats via response queue — dispatcher detects stuck/dead workers
• Each worker has a private control queue for config updates and stop signals

Installation

pip install uhttp-workers

Quick Start

import uhttp.workers as _workers


class ItemWorker(_workers.Worker):
    def setup(self):
        self.items = {}
        self.next_id = 1

    @_workers.api('/api/items', 'GET')
    def list_items(self, request):
        return {'items': list(self.items.values())}

    @_workers.api('/api/item/{id:int}', 'GET')
    def get_item(self, request):
        item = self.items.get(request.path_params['id'])
        if not item:
            return {'error': 'Not found'}, 404
        return item


class MyDispatcher(_workers.Dispatcher):
    def do_check(self, client):
        api_key = client.headers.get('x-api-key')
        if api_key not in VALID_KEYS:
            client.respond({'error': 'unauthorized'}, status=401)
            raise _workers.RejectRequest()

    @_workers.sync('/health')
    def health(self, client, path_params):
        client.respond({'status': 'ok'})


def main():
    dispatcher = MyDispatcher(
        port=8080,
        pools=[
            _workers.WorkerPool(
                ItemWorker, num_workers=4,
                routes=['/api/**'],
                timeout=30,
            ),
        ],
    )
    dispatcher.run()


if __name__ == '__main__':
    main()

Multiple Worker Pools

Route different endpoints to different worker pools with independent scaling:

dispatcher = MyDispatcher(
    port=8080,
    pools=[
        _workers.WorkerPool(
            ComputeWorker, num_workers=4,
            routes=['/api/compute/**'],
            timeout=60,
        ),
        _workers.WorkerPool(
            StorageWorker, num_workers=2,
            routes=['/api/items/**', '/api/item/**'],
            timeout=10,
        ),
        _workers.WorkerPool(
            GeneralWorker, num_workers=1,
        ),  # no routes = default/fallback pool
    ],
)

Request routing order:

1. Static files — served directly by dispatcher
2. Sync handlers — run in dispatcher process
3. Worker pools — first pool with matching route prefix, or fallback pool
4. 404 — no match

API Handlers

Group related endpoints under a common URL prefix using ApiHandler:

import uhttp.workers as _workers

class UserHandler(_workers.ApiHandler):
    PATTERN = '/api/user'

    @_workers.api('', 'GET')
    def list_users(self, request):
        return {'users': self.worker.db.list_users()}

    @_workers.api('/{id:int}', 'GET')
    def get_user(self, request):
        return self.worker.db.get_user(request.path_params['id'])

    @_workers.api('/{id:int}', 'DELETE')
    def delete_user(self, request):
        self.worker.db.delete_user(request.path_params['id'])
        return {'deleted': request.path_params['id']}

class OrderHandler(_workers.ApiHandler):
    PATTERN = '/api/order'

    @_workers.api('', 'GET')
    def list_orders(self, request):
        return {'orders': []}

    @_workers.api('/{id:int}', 'GET')
    def get_order(self, request):
        return {'id': request.path_params['id']}

class MyWorker(_workers.Worker):
    HANDLERS = [UserHandler, OrderHandler]

    def setup(self):
        self.db = Database(self.kwargs['db_login'])

@api patterns on handlers are automatically prefixed with the handler's PATTERN. Handlers access the worker instance via self.worker.

You can also define @api methods directly on the worker class — useful for simple workers that don't need handler grouping.

Handlers support inheritance — a subclass inherits all routes from its parent, using the subclass PATTERN as prefix.

Static Files

dispatcher = Dispatcher(
    port=8080,
    static_routes={
        '/static/': './static/',
        '/images/': '/var/data/images/',
    },
)

Static files are served directly by the dispatcher process with path traversal protection. Directory requests automatically serve index.html if present.

Sync Handlers

Lightweight handlers that run directly in the dispatcher process — no queue overhead. Define them as methods on the dispatcher class with the @sync decorator:

import uhttp.workers as _workers

class MyDispatcher(_workers.Dispatcher):
    @_workers.sync('/health')
    def health(self, client, path_params):
        client.respond({
            'status': 'ok',
            'pools': [pool.status() for pool in self._pools],
        })

    @_workers.sync('/version')
    def version(self, client, path_params):
        client.respond({'version': '1.0.0'})

Use sync handlers for fast, non-blocking responses only — long operations block the entire dispatcher.

Worker Lifecycle

Setup

setup() is called once when a worker process starts. Use it to initialize resources that cannot be shared across processes (database connections, models, etc.):

class MyWorker(_workers.Worker):
    def setup(self):
        self.db = Database(self.kwargs['db_login'])

Extra keyword arguments from WorkerPool(...) are available as self.kwargs.

Configuration Updates

Dispatcher can send configuration to workers at runtime via per-worker control queues:

# dispatcher side
for pool in dispatcher._pools:
    pool.send_config({'rate_limit': 100})

# worker side
class MyWorker(_workers.Worker):
    def on_config(self, config):
        self.rate_limit = config['rate_limit']

Health Monitoring

Workers send heartbeats automatically via the shared response queue. When a worker takes a request, it reports which request_id it is working on. If a worker stops responding:

• Dead worker (segfault, crash) — detected via is_alive(), restarted immediately
• Stuck worker (infinite loop in C code) — detected via heartbeat timeout, killed and restarted
• Too many restarts — pool marked as degraded, returns 503

Request Handling

@_workers.api('/process/{id:int}', 'POST')
def process(self, request):
    # request.request_id  — internal ID for dispatcher pairing
    # request.method       — 'POST'
    # request.path         — '/process/42'
    # request.path_params  — {'id': 42}
    # request.query        — {'page': '1'} or None
    # request.data         — dict (JSON), bytes (binary), or None
    # request.headers      — dict
    # request.content_type — 'application/json'

    # return data (status 200)
    return {'result': 'ok'}

    # return data with status
    return {'error': 'not found'}, 404

URL Patterns

Dispatcher uses prefix matching to route requests to pools:

_workers.WorkerPool(MyWorker, routes=['/api/users/**'])  # matches /api/users/anything
_workers.WorkerPool(MyWorker, routes=['/api/status'])     # exact match only
_workers.WorkerPool(MyWorker)                              # fallback — catches everything else

Workers use full pattern matching with type conversion:

@_workers.api('/user/{id:int}', 'GET')        # id converted to int
@_workers.api('/price/{amount:float}', 'GET') # amount converted to float
@_workers.api('/tag/{name}')                   # name as str, all methods

Authentication

Override do_check() on the dispatcher — runs before any request is queued:

class MyDispatcher(_workers.Dispatcher):
    def __init__(self, valid_keys, **kwargs):
        super().__init__(**kwargs)
        self.valid_keys = valid_keys

    def do_check(self, client):
        api_key = client.headers.get('x-api-key')
        if api_key not in self.valid_keys:
            client.respond({'error': 'unauthorized'}, status=401)
            raise _workers.RejectRequest()

do_check() is only called for requests going to worker pools — static files and sync handlers are not affected.

Post-Response Hook

Override on_response() on the dispatcher to post-process after a response is sent to the client — e.g., forward data to another worker pool:

class MyDispatcher(_workers.Dispatcher):
    def on_response(self, response, pending):
        if response.status == 200 and pending.pool.name == 'LprWorker':
            storage_pool = self._find_pool('/internal/storage')
            storage_pool.request_queue.put(_workers.Request(
                request_id=-1,
                method='POST',
                path='/internal/storage/save',
                data={
                    'image': pending.client.data,
                    'result': response.data,
                }))

pending is a _PendingRequest with client (original connection) and pool (source pool). Requests with request_id=-1 are ignored by the dispatcher when the worker responds.

Dispatcher Idle Hook

Override on_idle() on the dispatcher for periodic background tasks — called on each select() timeout (every SELECT_TIMEOUT seconds, default 1s):

class MyDispatcher(_workers.Dispatcher):
    def on_idle(self):
        # periodic cleanup, monitoring, etc.
        pass

Workers have their own on_idle() hook, called on each heartbeat_interval timeout.

Graceful Shutdown

On SIGTERM or SIGINT:

1. Stop accepting new connections
2. Wait for pending responses (up to shutdown_timeout)
3. Respond 503 to remaining pending requests
4. Send stop signal to all workers via control queues
5. Wait for workers to finish, kill after timeout

Monitoring

class MyDispatcher(_workers.Dispatcher):
    @_workers.sync('/monitor')
    def monitor(self, client, path_params):
        client.respond({
            'pools': [pool.status() for pool in self._pools],
            'pending': len(self._pending),
        })

Pool status includes per-worker info: alive, last seen, current request ID, queue size.

Logging

Workers have a built-in Logger accessible via self.log:

class MyWorker(_workers.Worker):
    @_workers.api('/item/{id:int}', 'GET')
    def get_item(self, request):
        item_id = request.path_params['id']
        # %-style (Python logging compatible)
        self.log.info("Getting item %d", item_id)
        # {}-style (kwargs)
        self.log.info("Getting item {id}", id=item_id)
        return {'id': item_id}

Log messages are sent to the dispatcher via the shared response queue and printed in the dispatcher process — no interleaved output from multiple processes.

Log levels: LOG_DEBUG (10), LOG_INFO (20), LOG_WARNING (30), LOG_ERROR (40), LOG_CRITICAL (50)

Set minimum level per pool:

_workers.WorkerPool(
    MyWorker, num_workers=4,
    log_level=_workers.LOG_INFO,  # default: LOG_WARNING
)

Output format — auto-detected at dispatcher init:

• Terminal: ANSI colors — bold red (critical), red (error), yellow (warning), dim (debug)
• systemd: Syslog priority prefixes (<3>, <4>, etc.) — journalctl colors by priority

Override Dispatcher.on_log(name, level, message) to customize output or forward to a logging framework.

Errors are logged automatically:

• Handler exceptions → ERROR with full traceback (returns 500 to client)
• setup() crash → CRITICAL with traceback (worker exits and restarts)
• Worker restart → ERROR with reason (died/stuck)
• Request timeout → WARNING with request ID and timeout value

Configuration

Dispatcher

Parameter	Default	Description
port	8080	Listen port
address	'0.0.0.0'	Listen address
pools	[]	List of WorkerPool instances
static_routes	{}	URL prefix → filesystem path
shutdown_timeout	10	Seconds to wait on shutdown
max_pending	1000	Max pending requests (503 when exceeded)
ssl_context	None	ssl.SSLContext for HTTPS

WorkerPool

Parameter	Default	Description
worker_class	—	Worker subclass
num_workers	1	Number of worker processes
routes	None	Prefix patterns (None = fallback pool)
timeout	30	Request timeout in seconds (504)
stuck_timeout	60	Heartbeat timeout before kill
heartbeat_interval	1	Seconds between worker heartbeats
log_level	LOG_WARNING	Minimum log level for worker loggers
max_restarts	10	Max restarts per restart_window
restart_window	300	Time window for restart counting (seconds)
queue_warning	100	Log warning when queue size exceeds this (0 = disable)

Extra **kwargs on WorkerPool are passed to worker constructor (accessible as self.kwargs).

Requirements

• Python >= 3.10
• POSIX system (Linux, macOS) — uses select() with queue._reader
• uhttp-server