perf: use shared HTTP client pool in pypi_download_file

This commit is contained in:
Mondo Diaz
2026-02-04 09:51:05 -06:00
parent 79dd7b833e
commit 8fdb73901e

View File

@@ -642,6 +642,8 @@ async def pypi_download_file(
upstream: Optional[str] = None, upstream: Optional[str] = None,
db: Session = Depends(get_db), db: Session = Depends(get_db),
storage: S3Storage = Depends(get_storage), storage: S3Storage = Depends(get_storage),
http_client: HttpClientManager = Depends(get_http_client),
cache: CacheService = Depends(get_cache),
): ):
""" """
Download a package file, caching it in Orchard. Download a package file, caching it in Orchard.
@@ -723,7 +725,9 @@ async def pypi_download_file(
headers.update(_build_auth_headers(matched_source)) headers.update(_build_auth_headers(matched_source))
auth = _get_basic_auth(matched_source) if matched_source else None auth = _get_basic_auth(matched_source) if matched_source else None
timeout = httpx.Timeout(300.0, connect=PROXY_CONNECT_TIMEOUT) # 5 minutes for large files # Use shared HTTP client from pool with longer timeout for file downloads
client = http_client.get_client()
download_timeout = httpx.Timeout(connect=30.0, read=300.0, write=300.0, pool=30.0)
# Initialize extracted dependencies list # Initialize extracted dependencies list
extracted_deps = [] extracted_deps = []
@@ -731,78 +735,79 @@ async def pypi_download_file(
# Fetch the file # Fetch the file
logger.info(f"PyPI proxy: fetching {filename} from {upstream_url}") logger.info(f"PyPI proxy: fetching {filename} from {upstream_url}")
async with httpx.AsyncClient(timeout=timeout, follow_redirects=False) as client: response = await client.get(
upstream_url,
headers=headers,
auth=auth,
timeout=download_timeout,
)
# Handle redirects manually
redirect_count = 0
while response.status_code in (301, 302, 303, 307, 308) and redirect_count < 5:
redirect_url = response.headers.get('location')
if not redirect_url:
break
if not redirect_url.startswith('http'):
redirect_url = urljoin(upstream_url, redirect_url)
logger.info(f"PyPI proxy: following redirect to {redirect_url}")
# Don't send auth to different hosts
redirect_headers = {"User-Agent": "Orchard-PyPI-Proxy/1.0"}
redirect_auth = None
if urlparse(redirect_url).netloc == urlparse(upstream_url).netloc:
redirect_headers.update(headers)
redirect_auth = auth
response = await client.get( response = await client.get(
upstream_url, redirect_url,
headers=headers, headers=redirect_headers,
auth=auth, auth=redirect_auth,
follow_redirects=False,
timeout=download_timeout,
)
redirect_count += 1
if response.status_code != 200:
# Parse upstream error for policy/blocking messages
error_detail = _parse_upstream_error(response)
logger.warning(f"PyPI proxy: upstream returned {response.status_code} for {filename}: {error_detail}")
raise HTTPException(
status_code=response.status_code,
detail=f"Upstream error: {error_detail}"
) )
# Handle redirects manually content_type = response.headers.get('content-type', 'application/octet-stream')
redirect_count = 0
while response.status_code in (301, 302, 303, 307, 308) and redirect_count < 5:
redirect_url = response.headers.get('location')
if not redirect_url:
break
if not redirect_url.startswith('http'): # Stream to temp file to avoid loading large packages into memory
redirect_url = urljoin(upstream_url, redirect_url) # This keeps memory usage constant regardless of package size
# Using async iteration to avoid blocking the event loop
tmp_path = None
try:
with tempfile.NamedTemporaryFile(delete=False, suffix=f"_{filename}") as tmp_file:
tmp_path = tmp_file.name
async for chunk in response.aiter_bytes(chunk_size=65536): # 64KB chunks
tmp_file.write(chunk)
logger.info(f"PyPI proxy: following redirect to {redirect_url}") # Store in S3 from temp file (computes hash and deduplicates automatically)
with open(tmp_path, 'rb') as f:
result = storage.store(f)
sha256 = result.sha256
size = result.size
s3_key = result.s3_key
# Don't send auth to different hosts # Extract dependencies from the temp file before cleaning up
redirect_headers = {"User-Agent": "Orchard-PyPI-Proxy/1.0"} extracted_deps = _extract_dependencies_from_file(tmp_path, filename)
redirect_auth = None if extracted_deps:
if urlparse(redirect_url).netloc == urlparse(upstream_url).netloc: logger.info(f"PyPI proxy: extracted {len(extracted_deps)} dependencies from {filename}")
redirect_headers.update(headers)
redirect_auth = auth
response = await client.get( logger.info(f"PyPI proxy: downloaded {filename}, {size} bytes, sha256={sha256[:12]}")
redirect_url, finally:
headers=redirect_headers, # Clean up temp file
auth=redirect_auth, if tmp_path and os.path.exists(tmp_path):
follow_redirects=False, os.unlink(tmp_path)
)
redirect_count += 1
if response.status_code != 200:
# Parse upstream error for policy/blocking messages
error_detail = _parse_upstream_error(response)
logger.warning(f"PyPI proxy: upstream returned {response.status_code} for {filename}: {error_detail}")
raise HTTPException(
status_code=response.status_code,
detail=f"Upstream error: {error_detail}"
)
content_type = response.headers.get('content-type', 'application/octet-stream')
# Stream to temp file to avoid loading large packages into memory
# This keeps memory usage constant regardless of package size
# Using async iteration to avoid blocking the event loop
tmp_path = None
try:
with tempfile.NamedTemporaryFile(delete=False, suffix=f"_{filename}") as tmp_file:
tmp_path = tmp_file.name
async for chunk in response.aiter_bytes(chunk_size=65536): # 64KB chunks
tmp_file.write(chunk)
# Store in S3 from temp file (computes hash and deduplicates automatically)
with open(tmp_path, 'rb') as f:
result = storage.store(f)
sha256 = result.sha256
size = result.size
s3_key = result.s3_key
# Extract dependencies from the temp file before cleaning up
extracted_deps = _extract_dependencies_from_file(tmp_path, filename)
if extracted_deps:
logger.info(f"PyPI proxy: extracted {len(extracted_deps)} dependencies from {filename}")
logger.info(f"PyPI proxy: downloaded {filename}, {size} bytes, sha256={sha256[:12]}")
finally:
# Clean up temp file
if tmp_path and os.path.exists(tmp_path):
os.unlink(tmp_path)
# Check if artifact already exists # Check if artifact already exists
existing = db.query(Artifact).filter(Artifact.id == sha256).first() existing = db.query(Artifact).filter(Artifact.id == sha256).first()