Dispatcharr/apps/proxy/live_proxy/input/http_streamer.py

161 lines
5.6 KiB
Python

"""
HTTP Stream Reader - Thread-based HTTP stream reader that writes to a pipe.
This allows us to use the same fetch_chunk() path for both transcode and HTTP streams.
"""
import threading
import os
import requests
from requests.adapters import HTTPAdapter
from ..utils import get_logger
logger = get_logger()
class HTTPStreamReader:
"""Thread-based HTTP stream reader that writes to a pipe"""
def __init__(self, url, user_agent=None, chunk_size=8192):
self.url = url
self.user_agent = user_agent
self.chunk_size = chunk_size
self.session = None
self.response = None
self.thread = None
self.pipe_read = None
self.pipe_write = None
self.running = False
def start(self):
"""Start the HTTP stream reader thread"""
self.pipe_read, self.pipe_write = os.pipe()
# Make the write end non-blocking so that os.write() raises BlockingIOError
# instead of stalling the OS thread when the pipe buffer is full. Without
# this, a full pipe blocks the entire gevent worker (all greenlets freeze)
# because gevent does not patch os.write() on pipes.
import fcntl
flags = fcntl.fcntl(self.pipe_write, fcntl.F_GETFL)
fcntl.fcntl(self.pipe_write, fcntl.F_SETFL, flags | os.O_NONBLOCK)
self.running = True
self.thread = threading.Thread(target=self._read_stream, daemon=True)
self.thread.start()
logger.info(f"Started HTTP stream reader thread for {self.url}")
return self.pipe_read
def _read_stream(self):
"""Thread worker that reads HTTP stream and writes to pipe"""
try:
# Build headers
headers = {}
if self.user_agent:
headers['User-Agent'] = self.user_agent
logger.info(f"HTTP reader connecting to {self.url}")
# Create session
self.session = requests.Session()
# Disable retries for faster failure detection
adapter = HTTPAdapter(max_retries=0, pool_connections=1, pool_maxsize=1)
self.session.mount('http://', adapter)
self.session.mount('https://', adapter)
# Stream the URL
self.response = self.session.get(
self.url,
headers=headers,
stream=True,
timeout=(5, 30) # 5s connect, 30s read
)
if self.response.status_code != 200:
logger.error(f"HTTP {self.response.status_code} from {self.url}")
return
logger.info(f"HTTP reader connected successfully, streaming data...")
import select as _select
# Stream chunks to pipe
chunk_count = 0
for chunk in self.response.iter_content(chunk_size=self.chunk_size):
if not self.running:
break
if chunk:
# Write the chunk in a non-blocking loop. The pipe write end is
# set O_NONBLOCK in start(), so os.write() raises BlockingIOError
# instead of stalling the OS thread. We use select.select on the
# write fd (gevent-patched - yields to hub) to wait for space,
# then retry. Partial writes are handled by advancing the offset.
offset = 0
write_error = False
while offset < len(chunk) and self.running:
try:
n = os.write(self.pipe_write, chunk[offset:])
offset += n
except BlockingIOError:
_, writable, _ = _select.select([], [self.pipe_write], [], 1.0)
if not writable and not self.running:
write_error = True
break
except OSError as e:
logger.error(f"Pipe write error: {e}")
write_error = True
break
if write_error:
break
chunk_count += 1
if chunk_count % 1000 == 0:
logger.debug(f"HTTP reader streamed {chunk_count} chunks")
logger.info("HTTP stream ended")
except requests.exceptions.RequestException as e:
logger.error(f"HTTP reader request error: {e}")
except Exception as e:
logger.error(f"HTTP reader unexpected error: {e}", exc_info=True)
finally:
self.running = False
# Close write end of pipe to signal EOF
try:
if self.pipe_write is not None:
os.close(self.pipe_write)
self.pipe_write = None
except:
pass
def stop(self):
"""Stop the HTTP stream reader"""
logger.info("Stopping HTTP stream reader")
self.running = False
# Close response
if self.response:
try:
self.response.close()
except:
pass
# Close session
if self.session:
try:
self.session.close()
except:
pass
# Close write end of pipe
if self.pipe_write is not None:
try:
os.close(self.pipe_write)
self.pipe_write = None
except:
pass
# Wait for thread
if self.thread and self.thread.is_alive():
self.thread.join(timeout=2.0)