Update main.py
Browse files
main.py
CHANGED
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@@ -1,6 +1,6 @@
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import httpx
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from fastapi import FastAPI, Request, HTTPException
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from starlette.responses import StreamingResponse
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from starlette.background import BackgroundTask
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import os
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import random
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@@ -9,34 +9,23 @@ import time
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from contextlib import asynccontextmanager
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# --- Production-Ready Configuration ---
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# All key settings are now configurable via environment variables.
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# 1. Logging Configuration
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LOG_LEVEL = os.getenv("LOG_LEVEL", "INFO").upper()
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logging.basicConfig(
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level=LOG_LEVEL,
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format='%(asctime)s - %(levelname)s - %(message)s'
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)
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# 2. Target URL
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TARGET_URL = os.getenv("TARGET_URL", "https://api.gmi-serving.com/v1/chat")
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# 3. Retry Logic Configuration
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# Default to 7 retries as requested.
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MAX_RETRIES = int(os.getenv("MAX_RETRIES", "7"))
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# Default retry codes now include 500. Configurable via a comma-separated string.
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DEFAULT_RETRY_CODES = "429,500,502,503,504"
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RETRY_CODES_STR = os.getenv("RETRY_CODES", DEFAULT_RETRY_CODES)
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try:
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# Parse the comma-separated string into a set of integers.
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RETRY_STATUS_CODES = {int(code.strip()) for code in RETRY_CODES_STR.split(',')}
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logging.info(f"Will retry on the following status codes: {RETRY_STATUS_CODES}")
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except ValueError:
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logging.error(f"Invalid RETRY_CODES format: '{RETRY_CODES_STR}'. Falling back to default: {DEFAULT_RETRY_CODES}")
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RETRY_STATUS_CODES = {int(code.strip()) for code in DEFAULT_RETRY_CODES.split(',')}
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# --- Helper Function ---
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def generate_random_ip():
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"""Generates a random, valid-looking IPv4 address."""
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@@ -46,7 +35,6 @@ def generate_random_ip():
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@asynccontextmanager
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async def lifespan(app: FastAPI):
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"""Manages the lifecycle of the HTTPX client."""
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# Using a longer timeout for the client itself, but no timeout per-request.
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async with httpx.AsyncClient(base_url=TARGET_URL, timeout=None) as client:
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app.state.http_client = client
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yield
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# Initialize the FastAPI app with the lifespan manager and disabled docs
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app = FastAPI(docs_url=None, redoc_url=None, lifespan=lifespan)
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# ---
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"""
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"""
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# Start timer for latency tracking. time.monotonic is used for reliable duration measurement.
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start_time = time.monotonic()
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client: httpx.AsyncClient = request.app.state.http_client
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url = httpx.URL(path=request.url.path, query=request.url.query.encode("utf-8"))
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# --- Header Processing ---
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request_headers = dict(request.headers)
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request_headers.pop("host", None)
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random_ip = generate_random_ip()
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logging.info(f"Client '{request.client.host}' proxied with spoofed IP: {random_ip}")
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specific_headers = {
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"accept": "application/json, text/plain, */*",
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@@ -89,7 +88,6 @@ async def _reverse_proxy(request: Request):
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body = await request.body()
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# --- Retry Logic ---
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last_exception = None
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for attempt in range(MAX_RETRIES):
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try:
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)
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rp_resp = await client.send(rp_req, stream=True)
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if rp_resp.status_code not in RETRY_STATUS_CODES:
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# Log latency and success before returning
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duration_ms = (time.monotonic() - start_time) * 1000
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logging.info
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return StreamingResponse(
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rp_resp.aiter_raw(),
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status_code=rp_resp.status_code,
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headers=rp_resp.headers,
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background=BackgroundTask(rp_resp.aclose),
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)
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# If we are on the last attempt, return the error response without retrying further.
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if attempt == MAX_RETRIES - 1:
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duration_ms = (time.monotonic() - start_time) * 1000
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logging.error(f"Request failed after max retries: {request.method} {request.url.path} status_code={rp_resp.status_code} latency={duration_ms:.2f}ms")
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return StreamingResponse(
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rp_resp.aiter_raw(),
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background=BackgroundTask(rp_resp.aclose),
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)
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# Log the retry attempt before closing the response and looping again.
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logging.warning(
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f"Attempt {attempt + 1}/{MAX_RETRIES} failed with status {rp_resp.status_code}. Retrying..."
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)
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await rp_resp.aclose()
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except httpx.ConnectError as e:
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last_exception = e
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logging.warning(f"Attempt {attempt + 1}/{MAX_RETRIES} failed with connection error: {e}")
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# This block is reached if all attempts fail with a connection error.
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duration_ms = (time.monotonic() - start_time) * 1000
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logging.critical(f"Request failed, cannot connect to target: {request.method} {request.url.path} status_code=502 latency={duration_ms:.2f}ms")
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raise HTTPException(
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status_code=502,
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detail=f"Bad Gateway: Cannot connect to target service after {MAX_RETRIES} attempts. {last_exception}"
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)
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# --- API Endpoints ---
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@app.api_route(
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"/completions/{full_path:path}",
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methods=["GET", "POST", "PUT", "DELETE", "PATCH", "OPTIONS", "HEAD"]
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)
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async def chat_proxy_handler(request: Request):
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"""Captures all requests under /completions/ and forwards them."""
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return await _reverse_proxy(request)
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@app.get("/")
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async def health_check():
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"""Provides a basic health check endpoint."""
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return {"status": "ok", "proxying_endpoint": "/completions", "target": "TypeGPT"}
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import httpx
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from fastapi import FastAPI, Request, HTTPException
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from starlette.responses import StreamingResponse, JSONResponse
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from starlette.background import BackgroundTask
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import os
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import random
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from contextlib import asynccontextmanager
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# --- Production-Ready Configuration ---
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LOG_LEVEL = os.getenv("LOG_LEVEL", "INFO").upper()
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logging.basicConfig(
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level=LOG_LEVEL,
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format='%(asctime)s - %(levelname)s - %(message)s'
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)
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TARGET_URL = os.getenv("TARGET_URL", "https://api.gmi-serving.com/v1/chat")
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MAX_RETRIES = int(os.getenv("MAX_RETRIES", "7"))
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DEFAULT_RETRY_CODES = "429,500,502,503,504"
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RETRY_CODES_STR = os.getenv("RETRY_CODES", DEFAULT_RETRY_CODES)
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try:
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RETRY_STATUS_CODES = {int(code.strip()) for code in RETRY_CODES_STR.split(',')}
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logging.info(f"Will retry on the following status codes: {RETRY_STATUS_CODES}")
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except ValueError:
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logging.error(f"Invalid RETRY_CODES format: '{RETRY_CODES_STR}'. Falling back to default: {DEFAULT_RETRY_CODES}")
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RETRY_STATUS_CODES = {int(code.strip()) for code in DEFAULT_RETRY_CODES.split(',')}
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# --- Helper Function ---
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def generate_random_ip():
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"""Generates a random, valid-looking IPv4 address."""
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@asynccontextmanager
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async def lifespan(app: FastAPI):
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"""Manages the lifecycle of the HTTPX client."""
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async with httpx.AsyncClient(base_url=TARGET_URL, timeout=None) as client:
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app.state.http_client = client
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yield
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# Initialize the FastAPI app with the lifespan manager and disabled docs
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app = FastAPI(docs_url=None, redoc_url=None, lifespan=lifespan)
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# --- API Endpoints ---
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# 1. Health Check Route (Defined FIRST)
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# This specific route will be matched before the catch-all proxy route.
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@app.get("/")
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async def health_check():
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"""Provides a basic health check endpoint."""
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return JSONResponse({"status": "ok", "target": TARGET_URL})
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# 2. Catch-All Reverse Proxy Route (Defined SECOND)
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# This will capture ALL other requests (e.g., /completions, /v1/models, etc.)
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# and forward them. This eliminates any redirect issues.
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@app.api_route("/{full_path:path}", methods=["GET", "POST", "PUT", "DELETE", "PATCH", "OPTIONS", "HEAD"])
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async def reverse_proxy_handler(request: Request):
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"""
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A catch-all reverse proxy that forwards requests to the target URL with
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enhanced retry logic and latency logging.
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"""
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start_time = time.monotonic()
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client: httpx.AsyncClient = request.app.state.http_client
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url = httpx.URL(path=request.url.path, query=request.url.query.encode("utf-8"))
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request_headers = dict(request.headers)
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request_headers.pop("host", None)
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random_ip = generate_random_ip()
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logging.info(f"Client '{request.client.host}' proxied with spoofed IP: {random_ip} for path: {url.path}")
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specific_headers = {
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"accept": "application/json, text/plain, */*",
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body = await request.body()
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last_exception = None
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for attempt in range(MAX_RETRIES):
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try:
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)
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rp_resp = await client.send(rp_req, stream=True)
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if rp_resp.status_code not in RETRY_STATUS_CODES or attempt == MAX_RETRIES - 1:
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duration_ms = (time.monotonic() - start_time) * 1000
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log_func = logging.info if rp_resp.is_success else logging.warning
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log_func(f"Request finished: {request.method} {request.url.path} status_code={rp_resp.status_code} latency={duration_ms:.2f}ms")
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return StreamingResponse(
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rp_resp.aiter_raw(),
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background=BackgroundTask(rp_resp.aclose),
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)
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logging.warning(
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f"Attempt {attempt + 1}/{MAX_RETRIES} for {url.path} failed with status {rp_resp.status_code}. Retrying..."
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)
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await rp_resp.aclose()
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except httpx.ConnectError as e:
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last_exception = e
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logging.warning(f"Attempt {attempt + 1}/{MAX_RETRIES} for {url.path} failed with connection error: {e}")
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duration_ms = (time.monotonic() - start_time) * 1000
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logging.critical(f"Request failed, cannot connect to target: {request.method} {request.url.path} status_code=502 latency={duration_ms:.2f}ms")
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raise HTTPException(
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status_code=502,
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detail=f"Bad Gateway: Cannot connect to target service after {MAX_RETRIES} attempts. {last_exception}"
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)
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