299 lines
11 KiB
Python
299 lines
11 KiB
Python
import logging
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import asyncio
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import random
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import os
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import tarfile
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import uuid
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import shutil
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import re
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from pathlib import Path
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from urllib.parse import urlparse, unquote
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import aiohttp
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from rq import get_current_job
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from utils.sr_wrapper import SRUtil
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# ---------- Config ----------
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ROOT_DIR = Path("/storage/music2") # change to your music folder
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MAX_RETRIES = 3
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THROTTLE_MIN = 0.3
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THROTTLE_MAX = 1.0
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HEADERS = {
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"User-Agent": (
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"Mozilla/5.0 (Windows NT 10.0; Win64; x64) "
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"AppleWebKit/537.36 (KHTML, like Gecko) "
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"Chrome/116.0.5845.97 Safari/537.36"
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),
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"Accept": "text/html,application/xhtml+xml,application/xml;q=0.9,image/webp,*/*;q=0.8",
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"Accept-Language": "en-US,en;q=0.9",
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"Connection": "keep-alive",
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}
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logging.basicConfig(
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level=logging.DEBUG,
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format="%(asctime)s [%(levelname)s] %(name)s: %(message)s",
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)
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sr = SRUtil()
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# ---------- Helpers ----------
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def sanitize_filename(name: str) -> str:
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"""Make a string safe for file/dir names."""
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if not name:
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return "Unknown"
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# Replace path separators first
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name = name.replace("/", "-").replace("\\", "-")
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# Remove illegal characters on common filesystems
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name = re.sub(r'[<>:"|?*\x00-\x1F]', "", name)
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# Trim spaces and trailing dots
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name = name.strip().strip(".")
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# Collapse whitespace
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name = re.sub(r"\s+", " ", name)
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# Reasonable length cap
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return name[:180] or "Unknown"
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def ensure_unique_path(p: Path) -> Path:
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"""If path exists, append ' (n)' before extension."""
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if not p.exists():
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return p
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stem, suffix = p.stem, p.suffix
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parent = p.parent
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n = 2
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while True:
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candidate = parent / f"{stem} ({n}){suffix}"
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if not candidate.exists():
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return candidate
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n += 1
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# ---------- Job ----------
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def bulk_download(track_list: list, target: str):
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"""
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RQ job:
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- fetches stream URLs
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- downloads with retries + throttling
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- uses SR metadata to name/organize files
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- creates ONE tarball for all tracks, with all artist names in the filename
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- returns [tarball_path]
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"""
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job = get_current_job()
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# Initialize job meta in a JSON/pickle-safe way
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if job:
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try:
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job.meta["track_ids"] = [str(t) for t in (track_list or [])]
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job.meta["tracks"] = [] # will hold per-track dicts
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job.meta["progress"] = 0
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job.meta["tarball"] = None
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job.meta["target"] = target
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job.save_meta()
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except Exception as e:
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logging.warning("Failed to init job.meta: %s", e)
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async def process_tracks():
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per_track_meta = [] # list of per-track dicts (JSON-safe)
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all_final_files = [] # list[Path]
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all_artists = set() # set[str]
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(ROOT_DIR / "completed").mkdir(parents=True, exist_ok=True)
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async with aiohttp.ClientSession(headers=HEADERS) as session:
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total = len(track_list or [])
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logging.critical("Total tracks to process: %s", total)
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for i, track_id in enumerate(track_list or []):
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track_info = {
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"track_id": str(track_id),
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"status": "pending", # pending | success | failed
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"file_path": None, # str | None
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"error": None, # str | None
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"attempts": 0, # int
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}
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attempt = 0
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while attempt < MAX_RETRIES:
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tmp_file = None
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attempt += 1
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track_info["attempts"] = attempt
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try:
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# 1) Stream URL
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url = await sr.get_stream_url_by_track_id(track_id)
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if not url:
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raise RuntimeError("No stream URL")
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# 2) Extension from URL path only (no query)
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parsed = urlparse(url)
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clean_path = unquote(parsed.path)
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ext = Path(clean_path).suffix or ".mp3"
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# Unique temp file
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tmp_file = Path(f"/tmp/{uuid.uuid4().hex}{ext}")
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# 3) Download (chunked)
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async with session.get(url) as resp:
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resp.raise_for_status()
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with open(tmp_file, "wb") as f:
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async for chunk in resp.content.iter_chunked(64 * 1024):
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f.write(chunk)
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# 4) Metadata from SR (prefer API over tags)
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md = await sr.get_metadata_by_track_id(track_id) or {}
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artist_raw = md.get("artist") or "Unknown Artist"
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album_raw = md.get("album") or "Unknown Album"
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title_raw = md.get("song") or f"Track {track_id}"
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artist = sanitize_filename(artist_raw)
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album = sanitize_filename(album_raw)
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title = sanitize_filename(title_raw)
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all_artists.add(artist)
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# 5) Final path
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final_dir = ROOT_DIR / artist / album
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final_dir.mkdir(parents=True, exist_ok=True)
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final_file = ensure_unique_path(final_dir / f"{title}{ext}")
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tmp_file.rename(final_file)
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tmp_file = None # consumed
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# Track success
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track_info["status"] = "success"
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track_info["file_path"] = str(final_file)
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track_info["error"] = None
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all_final_files.append(final_file)
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break # success; exit retry loop
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except Exception as e:
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logging.error("Track %s attempt %s failed: %s", track_id, attempt, e)
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track_info["error"] = str(e)
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if attempt >= MAX_RETRIES:
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track_info["status"] = "failed"
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# small backoff before next attempt (or next track)
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await asyncio.sleep(random.uniform(THROTTLE_MIN, THROTTLE_MAX))
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finally:
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# Clean partial temp file on failure
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try:
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if tmp_file and tmp_file.exists():
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tmp_file.unlink()
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except Exception:
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pass
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# Update RQ meta after each track
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per_track_meta.append(track_info)
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if job:
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try:
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job.meta["tracks"] = per_track_meta
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job.meta["progress"] = int(((i + 1) / max(total, 1)) * 100)
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job.save_meta()
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except Exception as e:
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logging.warning("Failed to update job.meta after track %s: %s", track_id, e)
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# Throttle between tracks
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await asyncio.sleep(random.uniform(THROTTLE_MIN, THROTTLE_MAX))
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# ---- Single combined tarball for all tracks ----
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if not all_final_files:
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if job:
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try:
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job.meta["tarball"] = None
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job.meta["status"] = "failed"
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job.save_meta()
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except Exception:
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pass
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return []
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# Pick artist with the most tracks
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artist_counts: dict[str, int] = {}
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for t in per_track_meta:
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if t["status"] == "success" and t.get("file_path"):
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try:
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artist = Path(t["file_path"]).relative_to(ROOT_DIR).parts[0]
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except Exception:
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artist = "Unknown Artist"
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artist_counts[artist] = artist_counts.get(artist, 0) + 1
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if artist_counts:
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top_artist = sorted(
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artist_counts.items(), key=lambda kv: (-kv[1], kv[0])
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)[0][0]
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else:
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top_artist = "Unknown Artist"
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combined_artist = sanitize_filename(top_artist)
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short_id = uuid.uuid4().hex[:8]
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# Stage tarball in ROOT_DIR first
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staged_tarball = ROOT_DIR / f"{combined_artist}_{short_id}.tar.gz"
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final_tarball = ROOT_DIR / "completed" / staged_tarball.name
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final_tarball.parent.mkdir(parents=True, exist_ok=True)
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with tarfile.open(staged_tarball, "w:gz") as tar:
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# Update job status → compressing
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if job:
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try:
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job.meta["status"] = "compressing"
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job.save_meta()
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except Exception:
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pass
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logging.info("Creating tarball: %s", staged_tarball)
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for f in all_final_files:
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try:
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arcname = f.relative_to(ROOT_DIR)
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except ValueError:
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arcname = f.name
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tar.add(f, arcname=str(arcname))
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try:
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os.remove(f)
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except Exception:
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pass
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logging.critical("Tarball created: %s", staged_tarball)
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# Now move tarball into completed folder
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try:
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staged_tarball.rename(final_tarball)
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except Exception:
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shutil.move(str(staged_tarball), str(final_tarball))
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logging.critical("Tarball finalized: %s", final_tarball)
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# Cleanup empty dirs (unchanged)
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to_check = set()
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for p in all_final_files:
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if p.parent:
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to_check.add(p.parent)
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if p.parent and p.parent.parent:
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to_check.add(p.parent.parent)
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for d in sorted(to_check, key=lambda p: len(p.parts), reverse=True):
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if d.is_dir():
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try:
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next(d.iterdir())
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except StopIteration:
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shutil.rmtree(d, ignore_errors=True)
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except Exception:
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pass
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# Update job status → done
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if job:
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try:
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job.meta["tarball"] = str(final_tarball)
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job.meta["progress"] = 100
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job.meta["status"] = "done"
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job.save_meta()
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except Exception as e:
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logging.warning("Failed to write final status to job.meta: %s", e)
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return [str(final_tarball)]
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# Run async part synchronously for RQ
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loop = asyncio.new_event_loop()
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asyncio.set_event_loop(loop)
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try:
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return loop.run_until_complete(process_tracks())
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finally:
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loop.close()
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