mirror of
https://github.com/unshackle-dl/unshackle.git
synced 2026-05-17 06:09:29 +00:00
perf(downloader): optimize hot loop and threading efficiency
Replace list.pop(0) with deque.popleft() for O(1) speed tracker eviction, skip urllib3 decode chain with decode_content=False on raw reads, use running total instead of sum() for progress reporting, add explicit stream.close() on CurlSession path, replace busy-poll loop with concurrent.futures.wait(FIRST_COMPLETED), skip ThreadPoolExecutor for single-URL downloads, and DRY up duplicated raw/iter_content progress logic into a unified chunk iterator.
This commit is contained in:
Andy
@@ -1,6 +1,8 @@
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import math
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import os
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import time
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from collections import deque
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from concurrent.futures import FIRST_COMPLETED, wait
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from concurrent.futures.thread import ThreadPoolExecutor
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from http.cookiejar import CookieJar
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from pathlib import Path
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@@ -74,7 +76,7 @@ def download(
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session = session or Session()
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if _speed_tracker is None:
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_speed_tracker = {"sizes": [], "last_refresh": time.time()}
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_speed_tracker = {"sizes": deque(), "last_refresh": time.time()}
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save_dir = save_path.parent
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control_file = save_path.with_name(f"{save_path.name}.!dev")
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@@ -95,7 +97,6 @@ def download(
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try:
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while True:
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written = 0
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download_sizes: list[int] = []
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last_speed_refresh = _time()
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try:
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@@ -127,33 +128,30 @@ def download(
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# Cache f.write for hot loop
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_write = f.write
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# Build chunk iterator — raw reads for requests.Session, iter_content for CurlSession
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if use_raw:
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# Raw socket read — 30-35% faster than iter_content (benchmarked)
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# Safe in worker threads with Queue-based event dispatch
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stream.raw.decode_content = False
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_read = stream.raw.read
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def _chunks() -> Generator[bytes, None, None]:
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while True:
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chunk = _read(chunk_size)
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if not chunk:
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break
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_write(chunk)
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download_size = len(chunk)
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written += download_size
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if not segmented:
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yield dict(advance=1)
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now = _time()
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time_since = now - last_speed_refresh
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download_sizes.append(download_size)
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if time_since > PROGRESS_WINDOW or download_size < chunk_size:
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data_size = sum(download_sizes)
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download_speed = math.ceil(data_size / (time_since or 1))
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yield dict(downloaded=f"{filesize.decimal(download_speed)}/s")
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last_speed_refresh = now
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download_sizes.clear()
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yield chunk
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stream.close()
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chunks = _chunks()
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else:
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# CurlSession: use iter_content (raw not available)
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for chunk in stream.iter_content(chunk_size=chunk_size):
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def _chunks_iter() -> Generator[bytes, None, None]:
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yield from stream.iter_content(chunk_size=chunk_size)
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stream.close()
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chunks = _chunks_iter()
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# Unified write + progress loop
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_data_accumulated = 0
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for chunk in chunks:
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_write(chunk)
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download_size = len(chunk)
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written += download_size
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@@ -162,13 +160,12 @@ def download(
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yield dict(advance=1)
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now = _time()
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time_since = now - last_speed_refresh
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download_sizes.append(download_size)
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_data_accumulated += download_size
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if time_since > PROGRESS_WINDOW or download_size < chunk_size:
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data_size = sum(download_sizes)
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download_speed = math.ceil(data_size / (time_since or 1))
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download_speed = math.ceil(_data_accumulated / (time_since or 1))
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yield dict(downloaded=f"{filesize.decimal(download_speed)}/s")
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last_speed_refresh = now
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download_sizes.clear()
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_data_accumulated = 0
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# Truncate to actual written size in case pre-allocation overshot
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if content_length > 0 and written != content_length:
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@@ -187,7 +184,7 @@ def download(
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sizes.append((now, written))
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cutoff = now - SPEED_ROLLING_WINDOW
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while sizes and sizes[0][0] < cutoff:
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sizes.pop(0)
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sizes.popleft()
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time_since = now - _speed_tracker["last_refresh"]
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if sizes and time_since > PROGRESS_WINDOW:
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window_start = sizes[0][0]
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@@ -338,9 +335,18 @@ def requests(
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yield dict(total=len(urls))
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# Per-call speed tracker — shared across threads within this call only
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speed_tracker: dict[str, Any] = {"sizes": [], "last_refresh": time.time()}
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speed_tracker: dict[str, Any] = {"sizes": deque(), "last_refresh": time.time()}
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try:
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# Fast path: single URL — no thread pool overhead
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if len(urls) == 1:
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yield from download(
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session=session,
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segmented=segmented_batch,
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_speed_tracker=speed_tracker,
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**urls[0],
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)
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else:
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with ThreadPoolExecutor(max_workers=max_workers) as pool:
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event_queue: Queue[dict[str, Any]] = Queue()
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@@ -364,9 +370,9 @@ def requests(
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except Empty:
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break
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done = {future for future in pending if future.done()}
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for future in done:
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pending.remove(future)
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# Wait efficiently for next future completion (OS condition variable)
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completed, pending = wait(pending, timeout=0.1, return_when=FIRST_COMPLETED)
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for future in completed:
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exc = future.exception()
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if isinstance(exc, KeyboardInterrupt):
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DOWNLOAD_CANCELLED.set()
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@@ -392,12 +398,6 @@ def requests(
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)
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raise exc
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if pending:
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try:
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yield event_queue.get(timeout=0.1)
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except Empty:
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pass
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# Drain any remaining events from workers that just finished
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while True:
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try:
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