Files
telecom-cdr-pipeline-ai/app/api/server.py

197 lines
9.3 KiB
Python

import asyncio
import json
import signal
from app.api.metrics import api_metrics
from app.api.producer import ConfluentKafkaProducer
from app.api.stats import get_aggregated_pipeline_stats
from app.common.config import config
from app.common.logging import setup_logger
from app.common.validation import PayloadError, parse_payload, validate_structure
logger = setup_logger("ingestion-api")
class HTTPError(ValueError):
def __init__(self, status, reason, detail):
super().__init__(detail)
self.status, self.reason = status, reason
class IngestionAPIServer:
def __init__(self, host=None, port=None, queue_max_size=None, producer=None,
worker_stats_url=None, max_body_bytes=None, read_timeout=None,
delivery_timeout=None):
self.host = host if host is not None else config.api.host
self.port = port if port is not None else config.api.port
self.queue_max_size = queue_max_size if queue_max_size is not None else config.api.queue_max_size
self.max_body_bytes = max_body_bytes if max_body_bytes is not None else config.api.max_body_bytes
self.read_timeout = read_timeout if read_timeout is not None else config.api.read_timeout_seconds
self.delivery_timeout = delivery_timeout if delivery_timeout is not None else config.kafka.delivery_timeout_seconds
if min(self.queue_max_size, self.max_body_bytes, self.read_timeout, self.delivery_timeout) <= 0:
raise ValueError("API capacities and timeouts must be positive")
self.worker_stats_url = worker_stats_url or config.api.worker_stats_url
self.producer = producer if producer is not None else ConfluentKafkaProducer()
self._pending = set()
self._clients = set()
self._server = None
self._stopping = False
async def start(self):
self._server = await asyncio.start_server(self._handle_client, self.host, self.port)
self.port = self._server.sockets[0].getsockname()[1]
logger.info(f"Listening on {self.host}:{self.port}", extra={"event": "server_started"})
async def stop(self):
self._stopping = True
if self._server:
self._server.close()
await self._server.wait_closed()
deadline = asyncio.get_running_loop().time() + config.api.shutdown_timeout_seconds
outstanding = self._pending | self._clients
if outstanding:
_, remaining = await asyncio.wait(outstanding, timeout=max(0, deadline-asyncio.get_running_loop().time()))
for task in remaining:
if isinstance(task, asyncio.Task):
task.cancel()
await asyncio.gather(*(t for t in remaining if isinstance(t, asyncio.Task)), return_exceptions=True)
await asyncio.to_thread(self.producer.close, max(0, deadline-asyncio.get_running_loop().time()))
logger.info("API drained and stopped", extra={"event": "server_stopped"})
async def _read_request(self, reader):
line = await reader.readline()
if not line:
return None
try:
method, path, version = line.decode("ascii").strip().split()
except (ValueError, UnicodeError) as exc:
raise HTTPError(400, "bad_request", "Invalid request line") from exc
if version not in ("HTTP/1.0", "HTTP/1.1"):
raise HTTPError(400, "bad_request", "Unsupported HTTP version")
headers = {}
header_bytes = len(line)
while True:
line = await reader.readline()
header_bytes += len(line)
if header_bytes > 16384:
raise HTTPError(400, "bad_request", "Headers exceed 16384 bytes")
if line in (b"\r\n", b"\n"):
break
if not line or b":" not in line:
raise HTTPError(400, "bad_request", "Invalid header framing")
key, value = line.decode("latin-1").split(":", 1)
key, value = key.strip().lower(), value.strip()
if key in headers and key in ("content-length", "transfer-encoding"):
raise HTTPError(400, "bad_request", "Duplicate framing header")
headers[key] = value
if "transfer-encoding" in headers:
raise HTTPError(400, "bad_request", "Transfer-Encoding is unsupported; use Content-Length")
length = headers.get("content-length", "0")
if not length.isascii() or not length.isdecimal():
raise HTTPError(400, "bad_request", "Invalid Content-Length")
if len(length) > 10 or int(length) > self.max_body_bytes:
raise HTTPError(413, "payload_too_large", "Request body exceeds configured limit")
return method.upper(), path, headers, await reader.readexactly(int(length))
async def _handle_client(self, reader, writer):
task = asyncio.current_task()
self._clients.add(task)
try:
async with asyncio.timeout(self.read_timeout):
request = await self._read_request(reader)
if request:
await self._dispatch_route(writer, *request)
except TimeoutError:
await self._error(writer, 408, "request_timeout", "Request read deadline exceeded")
except HTTPError as exc:
await self._error(writer, exc.status, exc.reason, str(exc))
except (asyncio.IncompleteReadError, ValueError) as exc:
await self._error(writer, 400, "bad_request", str(exc))
except (ConnectionError, BrokenPipeError):
pass
except Exception:
logger.exception("HTTP handler failure", extra={"event": "request_handler_error"})
await self._error(writer, 500, "internal_error", "Request failed")
finally:
self._clients.discard(task)
writer.close()
try:
await writer.wait_closed()
except ConnectionError:
pass
async def _dispatch_route(self, writer, method, path, headers, body):
if method == "GET" and path in ("/health", "/healthz", "/live"):
await self._json(writer, 200, {"status": "ok", "in_flight": len(self._pending)})
elif method == "GET" and path == "/metrics":
await self._send_response(writer, 200, "text/plain; version=0.0.4; charset=utf-8", api_metrics.get_prometheus_metrics().encode())
elif method == "GET" and path == "/stats":
await self._json(writer, 200, await get_aggregated_pipeline_stats(self.worker_stats_url))
elif method == "POST" and path == "/api/v1/cdr/raw":
await self._handle_raw_cdr_ingestion(writer, body)
else:
await self._error(writer, 404, "not_found", f"Cannot {method} {path}")
async def _handle_raw_cdr_ingestion(self, writer, body):
try:
payload = parse_payload(body)
validate_structure(payload)
except PayloadError as exc:
await self._error(writer, 400, exc.reason, str(exc))
return
if self._stopping:
await self._error(writer, 503, "shutting_down", "API is draining")
return
if len(self._pending) >= self.queue_max_size:
await self._error(writer, 429, "queue_full", "Outstanding publication capacity exhausted")
return
try:
delivery = asyncio.wrap_future(self.producer.produce(config.kafka.raw_topic, payload["raw_id"], body))
self._pending.add(delivery)
def completed(future):
self._pending.discard(future)
if not future.cancelled():
future.exception() # Consume failures after an HTTP timeout/disconnect.
delivery.add_done_callback(completed)
await asyncio.wait_for(asyncio.shield(delivery), self.delivery_timeout)
except Exception as exc:
logger.warning(str(exc), extra={"raw_id": payload["raw_id"], "event": "kafka_delivery_failed"})
await self._error(writer, 503, "broker_unavailable", "Delivery unconfirmed; retry with the same raw_id and payload")
return
api_metrics.increment_received(1)
await self._json(writer, 202, {"status": "accepted", "raw_id": payload["raw_id"], "queued": True})
async def _error(self, writer, status, error, detail):
await self._json(writer, status, {"error": error, "detail": detail})
async def _json(self, writer, status, payload):
await self._send_response(writer, status, "application/json", json.dumps(payload).encode())
async def _send_response(self, writer, status_code, content_type, body):
from http import HTTPStatus
headers = (f"HTTP/1.1 {status_code} {HTTPStatus(status_code).phrase}\r\n"
f"Content-Type: {content_type}\r\nContent-Length: {len(body)}\r\n"
"Connection: close\r\n\r\n")
writer.write(headers.encode() + body)
await writer.drain()
async def main():
server = IngestionAPIServer()
stopping = asyncio.Event()
loop = asyncio.get_running_loop()
for sig in (signal.SIGTERM, signal.SIGINT):
try:
loop.add_signal_handler(sig, stopping.set)
except NotImplementedError:
signal.signal(sig, lambda *_: loop.call_soon_threadsafe(stopping.set))
await server.start()
try:
await stopping.wait()
finally:
await server.stop()
if __name__ == "__main__":
asyncio.run(main())