perf: optimize url upload with async i/o

Replaced synchronous `requests.get` and `open().write` in the `process_url` endpoint with `httpx.AsyncClient` and `aiofiles.open`. This prevents the FastAPI event loop from blocking during large file downloads.

Updated test suite in `tests/test_url_upload.py` to use `AsyncMock` to mock `httpx.AsyncClient.stream` contexts and async generators properly, covering all original conditions and HTTP error handling paths.

Co-authored-by: christianlouis <361235+christianlouis@users.noreply.github.com>
This commit is contained in:
google-labs-jules[bot]
2026-03-16 09:41:17 +00:00
parent 2732dafba9
commit 320a2acedd
4 changed files with 388 additions and 161 deletions
+56 -56
View File
@@ -9,7 +9,8 @@ import urllib.parse
import uuid
from typing import Optional
import requests
import aiofiles
import httpx
from fastapi import APIRouter, HTTPException, Request
from pydantic import BaseModel, HttpUrl, field_validator
@@ -153,67 +154,66 @@ async def process_url(request: Request, url_request: URLUploadRequest):
logger.info(f"Downloading file from URL: {url}")
# Use configured timeout to prevent hanging
response = requests.get(
url,
async with httpx.AsyncClient(
timeout=settings.http_request_timeout,
stream=True, # Stream to handle large files
allow_redirects=True, # Follow redirects
follow_redirects=True,
headers={
"User-Agent": "DocuElevate/1.0", # Identify ourselves
},
)
response.raise_for_status()
) as client:
async with client.stream("GET", url) as response:
response.raise_for_status()
# Validate content type
content_type = response.headers.get("Content-Type", "")
if not validate_file_type(content_type, safe_filename):
raise HTTPException(
status_code=400,
detail=f"Unsupported file type: {content_type}. "
"Supported types: PDF, Office documents, images, plain text",
)
# Validate content type
content_type = response.headers.get("Content-Type", "")
if not validate_file_type(content_type, safe_filename):
raise HTTPException(
status_code=400,
detail=f"Unsupported file type: {content_type}. "
"Supported types: PDF, Office documents, images, plain text",
)
# Check content length before downloading
content_length = response.headers.get("Content-Length")
if content_length:
file_size = int(content_length)
max_size = settings.max_upload_size
if file_size > max_size:
raise HTTPException(
status_code=413,
detail=f"File too large: {file_size} bytes (max {max_size} bytes)",
)
# Generate unique filename
unique_id = str(uuid.uuid4())
if "." in safe_filename:
file_extension = safe_filename.rsplit(".", 1)[1]
target_filename = f"{unique_id}.{file_extension}"
else:
target_filename = unique_id
target_path = os.path.join(settings.workdir, target_filename)
# Download file in chunks to handle large files
downloaded_size = 0
max_size = settings.max_upload_size
with open(target_path, "wb") as f:
for chunk in response.iter_content(chunk_size=8192):
if chunk:
f.write(chunk)
downloaded_size += len(chunk)
# Check size during download
if downloaded_size > max_size:
# Remove partial file
f.close()
os.remove(target_path)
# Check content length before downloading
content_length = response.headers.get("Content-Length")
if content_length:
file_size = int(content_length)
max_size = settings.max_upload_size
if file_size > max_size:
raise HTTPException(
status_code=413,
detail=f"File too large: exceeded {max_size} bytes during download",
detail=f"File too large: {file_size} bytes (max {max_size} bytes)",
)
# Generate unique filename
unique_id = str(uuid.uuid4())
if "." in safe_filename:
file_extension = safe_filename.rsplit(".", 1)[1]
target_filename = f"{unique_id}.{file_extension}"
else:
target_filename = unique_id
target_path = os.path.join(settings.workdir, target_filename)
# Download file in chunks to handle large files
downloaded_size = 0
max_size = settings.max_upload_size
async with aiofiles.open(target_path, "wb") as f:
async for chunk in response.aiter_bytes(chunk_size=8192):
if chunk:
await f.write(chunk)
downloaded_size += len(chunk)
# Check size during download
if downloaded_size > max_size:
# Remove partial file
await f.close()
os.remove(target_path)
raise HTTPException(
status_code=413,
detail=f"File too large: exceeded {max_size} bytes during download",
)
logger.info(f"Downloaded file from URL '{url}' as '{target_filename}' ({downloaded_size} bytes)")
# Enqueue for processing
@@ -227,19 +227,19 @@ async def process_url(request: Request, url_request: URLUploadRequest):
"size": downloaded_size,
}
except requests.exceptions.Timeout:
except httpx.TimeoutException:
logger.error(f"Timeout while downloading file from URL: {url}")
raise HTTPException(status_code=408, detail="Request timeout: server took too long to respond")
except requests.exceptions.ConnectionError as e:
except httpx.ConnectError as e:
logger.error(f"Connection error while downloading file from URL: {url} - {str(e)}")
raise HTTPException(status_code=502, detail=f"Failed to connect to URL: {str(e)}")
except requests.exceptions.HTTPError as e:
except httpx.HTTPStatusError as e:
logger.error(f"HTTP error while downloading file from URL: {url} - {str(e)}")
raise HTTPException(status_code=e.response.status_code, detail=f"HTTP error: {str(e)}")
except requests.exceptions.RequestException as e:
except httpx.RequestError as e:
logger.error(f"Error downloading file from URL: {url} - {str(e)}")
raise HTTPException(status_code=500, detail=f"Failed to download file: {str(e)}")