Files
neuron-tai/packages/node/meshnet_node/server.py
2026-06-29 00:28:29 +03:00

60 lines
2.0 KiB
Python

"""Stub node HTTP server for the Distributed Inference Network."""
import http.server
import json
import threading
class _StubHandler(http.server.BaseHTTPRequestHandler):
def log_message(self, fmt, *args): # noqa: suppress request logs in tests
pass
def do_POST(self):
if self.path == "/v1/infer":
length = int(self.headers.get("Content-Length", 0))
body = json.loads(self.rfile.read(length))
messages = body.get("messages", [])
last_content = messages[-1]["content"] if messages else ""
payload = json.dumps({"text": f"stub response to: {last_content}"}).encode()
self.send_response(200)
self.send_header("Content-Type", "application/json")
self.send_header("Content-Length", str(len(payload)))
self.end_headers()
self.wfile.write(payload)
else:
self.send_response(404)
self.end_headers()
class StubNodeServer:
"""Single-process stub node that returns fixed inference responses."""
def __init__(self, host: str = "127.0.0.1", port: int = 0):
self._host = host
self._requested_port = port
self._server: http.server.HTTPServer | None = None
self._thread: threading.Thread | None = None
self.port: int | None = None
def start(self) -> int:
if self._server is not None:
raise RuntimeError("StubNodeServer is already running")
self._server = http.server.HTTPServer((self._host, self._requested_port), _StubHandler)
self.port = self._server.server_address[1]
self._thread = threading.Thread(target=self._server.serve_forever, daemon=True)
self._thread.start()
return self.port
def stop(self) -> None:
if self._server is None:
return
self._server.shutdown()
self._server.server_close()
if self._thread is not None:
self._thread.join(timeout=1)
self._server = None
self._thread = None
self.port = None