data
ea5a81cd17
- Video-Player mit ffmpeg-Transcoding (EAC3/DTS/AC3 -> AAC) - Play-Buttons in allen Ansichten (Serien, Filme, Ordner) - Delete-Buttons fuer einzelne Videos (DB + Datei) - Import: Nicht-erkannte Dateien per Modal zuordnen/ueberspringen - Import: Start blockiert wenn ungeloeste Items vorhanden - Audio channelmap Fix: 5.1(side) -> 5.1 fuer libopus - ENV-Variablen: VK_* Prefix (VK_DB_HOST, VK_MODE etc.) - WebSocket: Server-Log Push statt HTTP-Polling - Ordner-Loeschen Fix im Filebrowser - Import: Duplikat-Erkennung bei erneutem Scan Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
1129 lines
44 KiB
Python
1129 lines
44 KiB
Python
"""Import-Service: Videos erkennen, TVDB-Match, umbenennen, einsortieren"""
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import asyncio
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import json
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import logging
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import os
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import re
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import shutil
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from pathlib import Path
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from typing import Optional
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import aiomysql
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from app.config import Config
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from app.services.library import (
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LibraryService, VIDEO_EXTENSIONS, RE_SXXEXX, RE_XXxXX
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)
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from app.services.tvdb import TVDBService
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from app.services.probe import ProbeService
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# Serienname aus Dateiname extrahieren (alles vor SxxExx)
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RE_SERIES_FROM_NAME = re.compile(
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r'^(.+?)[\s._-]+[Ss]\d{1,2}[Ee]\d{1,3}', re.IGNORECASE
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)
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RE_SERIES_FROM_XXx = re.compile(
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r'^(.+?)[\s._-]+\d{1,2}x\d{2,3}', re.IGNORECASE
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)
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class ImporterService:
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"""Video-Import: Erkennung, TVDB-Matching, Umbenennung, Kopieren/Verschieben"""
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def __init__(self, config: Config, library_service: LibraryService,
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tvdb_service: TVDBService):
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self.config = config
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self.library = library_service
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self.tvdb = tvdb_service
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self._db_pool: Optional[aiomysql.Pool] = None
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def set_db_pool(self, pool: aiomysql.Pool) -> None:
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self._db_pool = pool
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@property
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def _naming_pattern(self) -> str:
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return self.config.settings.get("library", {}).get(
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"import_naming_pattern",
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"{series} - S{season:02d}E{episode:02d} - {title}.{ext}"
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)
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@property
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def _season_pattern(self) -> str:
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return self.config.settings.get("library", {}).get(
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"import_season_pattern", "Season {season:02d}"
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)
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# === DB-Tabellen erstellen ===
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async def init_db(self) -> None:
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"""Import-Tabellen erstellen"""
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if not self._db_pool:
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return
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try:
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async with self._db_pool.acquire() as conn:
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async with conn.cursor() as cur:
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await cur.execute("""
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CREATE TABLE IF NOT EXISTS import_jobs (
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id INT AUTO_INCREMENT PRIMARY KEY,
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source_path VARCHAR(1024) NOT NULL,
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target_library_id INT NOT NULL,
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status ENUM('pending','analyzing','ready',
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'importing','done','error')
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DEFAULT 'pending',
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mode ENUM('copy','move') DEFAULT 'copy',
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naming_pattern VARCHAR(256),
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season_pattern VARCHAR(256),
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total_files INT DEFAULT 0,
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processed_files INT DEFAULT 0,
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created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
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FOREIGN KEY (target_library_id)
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REFERENCES library_paths(id)
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) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4
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""")
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await cur.execute("""
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CREATE TABLE IF NOT EXISTS import_items (
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id INT AUTO_INCREMENT PRIMARY KEY,
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import_job_id INT NOT NULL,
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source_file VARCHAR(1024) NOT NULL,
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source_size BIGINT NOT NULL DEFAULT 0,
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source_duration DOUBLE NULL,
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detected_series VARCHAR(256),
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detected_season INT,
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detected_episode INT,
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tvdb_series_id INT NULL,
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tvdb_series_name VARCHAR(256),
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tvdb_episode_title VARCHAR(512),
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target_path VARCHAR(1024),
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target_filename VARCHAR(512),
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status ENUM('pending','matched','conflict',
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'skipped','done','error')
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DEFAULT 'pending',
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conflict_reason VARCHAR(512) NULL,
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existing_file_path VARCHAR(1024) NULL,
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existing_file_size BIGINT NULL,
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user_action ENUM('overwrite','skip','rename') NULL,
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FOREIGN KEY (import_job_id)
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REFERENCES import_jobs(id) ON DELETE CASCADE,
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INDEX idx_job (import_job_id)
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) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4
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""")
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logging.info("Import-Tabellen initialisiert")
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except Exception as e:
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logging.error(f"Import-Tabellen erstellen fehlgeschlagen: {e}")
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# === Job-Verwaltung ===
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async def create_job(self, source_path: str,
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target_library_id: int,
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mode: str = 'copy') -> Optional[int]:
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"""Erstellt einen Import-Job und sucht Video-Dateien im Quellordner"""
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if not self._db_pool:
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return None
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if not os.path.isdir(source_path):
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return None
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if mode not in ('copy', 'move'):
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mode = 'copy'
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# Video-Dateien im Quellordner finden
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videos = []
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for root, dirs, files in os.walk(source_path):
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dirs[:] = [d for d in dirs if not d.startswith(".")]
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for f in sorted(files):
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ext = os.path.splitext(f)[1].lower()
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if ext in VIDEO_EXTENSIONS:
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videos.append(os.path.join(root, f))
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if not videos:
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return None
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try:
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async with self._db_pool.acquire() as conn:
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async with conn.cursor() as cur:
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await cur.execute(
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"INSERT INTO import_jobs "
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"(source_path, target_library_id, status, mode, "
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"naming_pattern, season_pattern, total_files) "
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"VALUES (%s, %s, 'pending', %s, %s, %s, %s)",
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(source_path, target_library_id, mode,
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self._naming_pattern, self._season_pattern,
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len(videos))
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)
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job_id = cur.lastrowid
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# Items einfuegen
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for vf in videos:
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try:
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size = os.path.getsize(vf)
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except OSError:
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size = 0
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await cur.execute(
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"INSERT INTO import_items "
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"(import_job_id, source_file, source_size) "
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"VALUES (%s, %s, %s)",
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(job_id, vf, size)
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)
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logging.info(
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f"Import-Job erstellt: {job_id} "
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f"({len(videos)} Videos aus {source_path})"
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)
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return job_id
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except Exception as e:
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logging.error(f"Import-Job erstellen fehlgeschlagen: {e}")
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return None
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async def analyze_job(self, job_id: int) -> dict:
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"""Analysiert alle Dateien: Erkennung + TVDB-Lookup + Konflikt-Check"""
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if not self._db_pool:
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return {"error": "Keine DB-Verbindung"}
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try:
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async with self._db_pool.acquire() as conn:
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async with conn.cursor(aiomysql.DictCursor) as cur:
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# Job laden
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await cur.execute(
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"SELECT * FROM import_jobs WHERE id = %s", (job_id,)
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)
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job = await cur.fetchone()
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if not job:
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return {"error": "Job nicht gefunden"}
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# Ziel-Library laden
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await cur.execute(
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"SELECT * FROM library_paths WHERE id = %s",
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(job["target_library_id"],)
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)
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lib_path = await cur.fetchone()
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if not lib_path:
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return {"error": "Ziel-Library nicht gefunden"}
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# Status auf analyzing
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await cur.execute(
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"UPDATE import_jobs SET status = 'analyzing' "
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"WHERE id = %s", (job_id,)
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)
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# Items laden
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await cur.execute(
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"SELECT * FROM import_items "
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"WHERE import_job_id = %s ORDER BY source_file",
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(job_id,)
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)
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items = await cur.fetchall()
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# Jedes Item analysieren
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tvdb_cache = {} # Serienname -> TVDB-Info
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for item in items:
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await self._analyze_item(
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item, lib_path, job, tvdb_cache
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)
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# Status auf ready
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async with self._db_pool.acquire() as conn:
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async with conn.cursor() as cur:
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await cur.execute(
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"UPDATE import_jobs SET status = 'ready' "
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"WHERE id = %s", (job_id,)
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)
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return await self.get_job_status(job_id)
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except Exception as e:
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logging.error(f"Import-Analyse fehlgeschlagen: {e}")
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return {"error": str(e)}
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# Mindestgroesse fuer "echte" Episoden (darunter = Sample/Trailer)
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MIN_EPISODE_SIZE = 100 * 1024 * 1024 # 100 MiB
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async def _analyze_item(self, item: dict, lib_path: dict,
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job: dict, tvdb_cache: dict) -> None:
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"""Einzelnes Item analysieren: Erkennung + TVDB + Konflikt"""
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filename = os.path.basename(item["source_file"])
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ext = os.path.splitext(filename)[1].lstrip(".")
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# 0. Groessen-Check: Zu kleine Dateien als Sample/Trailer markieren
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if item["source_size"] < self.MIN_EPISODE_SIZE:
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try:
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async with self._db_pool.acquire() as conn:
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async with conn.cursor() as cur:
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await cur.execute("""
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UPDATE import_items SET
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status = 'skipped',
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conflict_reason = %s
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WHERE id = %s
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""", (
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f"Vermutlich Sample/Trailer "
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f"({self._fmt_size(item['source_size'])})",
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item["id"],
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))
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except Exception:
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pass
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return
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# 1. Serie/Staffel/Episode erkennen (Dateiname + Ordnername)
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info = self._detect_series_info(item["source_file"])
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series_name = info.get("series", "")
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season = info.get("season")
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episode = info.get("episode")
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# 2. Dauer per ffprobe (fuer Konflikt-Check)
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duration = None
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try:
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media = await ProbeService.analyze(item["source_file"])
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if media:
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duration = media.source_duration_sec
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except Exception:
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pass
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# 3. TVDB-Lookup (gecacht pro Serienname)
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tvdb_id = None
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tvdb_name = series_name
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tvdb_ep_title = ""
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if series_name and self.tvdb.is_configured:
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if series_name.lower() not in tvdb_cache:
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results = await self.tvdb.search_series(series_name)
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if results:
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tvdb_cache[series_name.lower()] = results[0]
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else:
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tvdb_cache[series_name.lower()] = None
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cached = tvdb_cache.get(series_name.lower())
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if cached:
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tvdb_id = cached.get("tvdb_id")
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tvdb_name = cached.get("name", series_name)
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# Episodentitel aus TVDB
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if tvdb_id and season and episode:
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tvdb_ep_title = await self._get_episode_title(
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int(tvdb_id), season, episode
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)
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# 4. Ziel-Pfad berechnen
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pattern = job.get("naming_pattern") or self._naming_pattern
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season_pattern = job.get("season_pattern") or self._season_pattern
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target_dir, target_file = self._build_target(
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tvdb_name or series_name or "Unbekannte Serie",
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season, episode,
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tvdb_ep_title or "",
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ext,
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lib_path["path"],
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pattern, season_pattern
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)
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target_path = os.path.join(target_dir, target_file)
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# 5. Konflikt-Check
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status = "matched" if series_name and season and episode else "pending"
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conflict = None
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existing_path = None
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existing_size = None
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if os.path.exists(target_path):
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existing_path = target_path
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existing_size = os.path.getsize(target_path)
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source_size = item["source_size"]
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# Groessen-Vergleich
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if source_size and existing_size:
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diff_pct = abs(source_size - existing_size) / max(
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existing_size, 1
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) * 100
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if diff_pct > 20:
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conflict = (
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f"Datei existiert bereits "
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f"(Quelle: {self._fmt_size(source_size)}, "
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f"Ziel: {self._fmt_size(existing_size)}, "
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f"Abweichung: {diff_pct:.0f}%)"
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)
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else:
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conflict = "Datei existiert bereits (aehnliche Groesse)"
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else:
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conflict = "Datei existiert bereits"
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status = "conflict"
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# 6. In DB aktualisieren
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try:
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async with self._db_pool.acquire() as conn:
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async with conn.cursor() as cur:
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await cur.execute("""
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UPDATE import_items SET
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source_duration = %s,
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detected_series = %s,
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detected_season = %s,
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detected_episode = %s,
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tvdb_series_id = %s,
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tvdb_series_name = %s,
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tvdb_episode_title = %s,
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target_path = %s,
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target_filename = %s,
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status = %s,
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conflict_reason = %s,
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existing_file_path = %s,
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existing_file_size = %s
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WHERE id = %s
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""", (
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duration, series_name, season, episode,
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tvdb_id, tvdb_name, tvdb_ep_title,
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target_dir, target_file, status,
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conflict, existing_path, existing_size,
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item["id"],
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))
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except Exception as e:
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logging.error(f"Import-Item analysieren fehlgeschlagen: {e}")
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def _detect_series_info(self, file_path: str) -> dict:
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"""Extrahiert Serienname, Staffel, Episode.
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Versucht zuerst den Dateinamen, dann den uebergeordneten
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Ordnernamen als Fallback. Der Ordnername ist oft zuverlaessiger
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bei Release-Gruppen-Prefixes (z.B. 'tlr-24.s07e01.mkv' vs
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Ordner '24.S07E01.German.DL.1080p.Bluray.x264-TLR').
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"""
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filename = os.path.basename(file_path)
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parent_dir = os.path.basename(os.path.dirname(file_path))
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# Beide Quellen versuchen
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info_file = self._parse_name(filename)
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info_dir = self._parse_name(parent_dir)
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# Strategie: Ordnername bevorzugen bei Scene-Releases.
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# Scene-Ordner: "24.S07E01.German.DL.1080p-TLR" -> Serie="24"
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# Scene-Datei: "tlr-24.s07e01.1080p.mkv" -> Serie="tlr-24"
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# Ordnername hat Serienname vorne, Dateiname oft Release-Tag vorne
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# Ordnername hat S/E -> bevorzugen (hat meist korrekten Seriennamen)
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if info_dir.get("season") and info_dir.get("episode"):
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if info_dir.get("series"):
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return info_dir
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# Ordner hat S/E aber keinen Namen -> Dateiname nehmen
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if info_file.get("series"):
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info_dir["series"] = info_file["series"]
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return info_dir
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# Dateiname hat S/E
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if info_file.get("season") and info_file.get("episode"):
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# Ordner-Serienname als Fallback wenn Datei keinen hat
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if not info_file.get("series") and info_dir.get("series"):
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info_file["series"] = info_dir["series"]
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return info_file
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return info_file
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|
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def _parse_name(self, name: str) -> dict:
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"""Extrahiert Serienname, Staffel, Episode aus einem Namen"""
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result = {"series": "", "season": None, "episode": None}
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name_no_ext = os.path.splitext(name)[0]
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|
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# S01E02 Format
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m = RE_SXXEXX.search(name)
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if m:
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result["season"] = int(m.group(1))
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result["episode"] = int(m.group(2))
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sm = RE_SERIES_FROM_NAME.match(name_no_ext)
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if sm:
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result["series"] = self._clean_name(sm.group(1))
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return result
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|
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# 1x02 Format
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m = RE_XXxXX.search(name)
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if m:
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result["season"] = int(m.group(1))
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result["episode"] = int(m.group(2))
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sm = RE_SERIES_FROM_XXx.match(name_no_ext)
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if sm:
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result["series"] = self._clean_name(sm.group(1))
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return result
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|
|
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return result
|
|
|
|
@staticmethod
|
|
def _clean_name(name: str) -> str:
|
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"""Bereinigt Seriennamen: Punkte/Underscores durch Leerzeichen"""
|
|
name = name.replace(".", " ").replace("_", " ")
|
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# Mehrfach-Leerzeichen reduzieren
|
|
name = re.sub(r'\s+', ' ', name).strip()
|
|
# Trailing Bindestriche entfernen
|
|
name = name.rstrip(" -")
|
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return name
|
|
|
|
def _build_target(self, series: str, season: Optional[int],
|
|
episode: Optional[int], title: str, ext: str,
|
|
lib_path: str, pattern: str,
|
|
season_pattern: str) -> tuple[str, str]:
|
|
"""Baut Ziel-Ordner und Dateiname nach Pattern"""
|
|
s = season or 1
|
|
e = episode or 0
|
|
|
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# Season-Ordner
|
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season_dir = season_pattern.format(season=s)
|
|
|
|
# Dateiname - kein Titel: ohne Titel-Teil, sonst mit
|
|
try:
|
|
if title:
|
|
filename = pattern.format(
|
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series=series, season=s, episode=e,
|
|
title=title, ext=ext
|
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)
|
|
else:
|
|
# Ohne Titel: "Serie - S01E03.ext"
|
|
filename = f"{series} - S{s:02d}E{e:02d}.{ext}"
|
|
except (KeyError, ValueError):
|
|
if title:
|
|
filename = f"{series} - S{s:02d}E{e:02d} - {title}.{ext}"
|
|
else:
|
|
filename = f"{series} - S{s:02d}E{e:02d}.{ext}"
|
|
|
|
# Ungueltige Zeichen entfernen
|
|
for ch in ['<', '>', ':', '"', '|', '?', '*']:
|
|
filename = filename.replace(ch, '')
|
|
series = series.replace(ch, '')
|
|
|
|
target_dir = os.path.join(lib_path, series, season_dir)
|
|
return target_dir, filename
|
|
|
|
async def _get_episode_title(self, tvdb_id: int,
|
|
season: int, episode: int) -> str:
|
|
"""Episodentitel aus TVDB-Cache oder API holen"""
|
|
if not self._db_pool:
|
|
return ""
|
|
try:
|
|
async with self._db_pool.acquire() as conn:
|
|
async with conn.cursor() as cur:
|
|
# Zuerst Cache pruefen
|
|
await cur.execute(
|
|
"SELECT episode_name FROM tvdb_episode_cache "
|
|
"WHERE series_tvdb_id = %s "
|
|
"AND season_number = %s "
|
|
"AND episode_number = %s",
|
|
(tvdb_id, season, episode)
|
|
)
|
|
row = await cur.fetchone()
|
|
if row and row[0]:
|
|
return row[0]
|
|
except Exception:
|
|
pass
|
|
|
|
# Cache leer -> Episoden von TVDB laden
|
|
episodes = await self.tvdb.fetch_episodes(tvdb_id)
|
|
for ep in episodes:
|
|
if ep["season_number"] == season and ep["episode_number"] == episode:
|
|
return ep.get("episode_name", "")
|
|
return ""
|
|
|
|
async def execute_import(self, job_id: int) -> dict:
|
|
"""Fuehrt den Import aus (Kopieren/Verschieben + TVDB-Link)"""
|
|
if not self._db_pool:
|
|
return {"error": "Keine DB-Verbindung"}
|
|
|
|
try:
|
|
async with self._db_pool.acquire() as conn:
|
|
async with conn.cursor(aiomysql.DictCursor) as cur:
|
|
await cur.execute(
|
|
"SELECT * FROM import_jobs WHERE id = %s", (job_id,)
|
|
)
|
|
job = await cur.fetchone()
|
|
if not job:
|
|
return {"error": "Job nicht gefunden"}
|
|
|
|
await cur.execute(
|
|
"UPDATE import_jobs SET status = 'importing' "
|
|
"WHERE id = %s", (job_id,)
|
|
)
|
|
|
|
# Nur Items mit status matched oder conflict+overwrite
|
|
await cur.execute(
|
|
"SELECT * FROM import_items "
|
|
"WHERE import_job_id = %s "
|
|
"AND (status = 'matched' "
|
|
" OR (status = 'conflict' "
|
|
" AND user_action = 'overwrite'))",
|
|
(job_id,)
|
|
)
|
|
items = await cur.fetchall()
|
|
|
|
done = 0
|
|
errors = 0
|
|
mode = job.get("mode", "copy")
|
|
|
|
# TVDB-IDs sammeln fuer spaetere Verknuepfung
|
|
tvdb_links = {} # series_name -> tvdb_id
|
|
|
|
for item in items:
|
|
ok = await self._process_item(item, mode, job_id)
|
|
if ok:
|
|
done += 1
|
|
# TVDB-Link merken
|
|
if item.get("tvdb_series_id") and item.get("tvdb_series_name"):
|
|
tvdb_links[item["tvdb_series_name"]] = item["tvdb_series_id"]
|
|
else:
|
|
errors += 1
|
|
|
|
# Progress updaten
|
|
async with self._db_pool.acquire() as conn:
|
|
async with conn.cursor() as cur:
|
|
await cur.execute(
|
|
"UPDATE import_jobs SET processed_files = %s "
|
|
"WHERE id = %s", (done + errors, job_id)
|
|
)
|
|
|
|
# Job abschliessen
|
|
status = "done" if errors == 0 else "error"
|
|
async with self._db_pool.acquire() as conn:
|
|
async with conn.cursor() as cur:
|
|
await cur.execute(
|
|
"UPDATE import_jobs SET status = %s "
|
|
"WHERE id = %s", (status, job_id)
|
|
)
|
|
|
|
# TVDB-Zuordnungen in library_series uebernehmen
|
|
linked_series = 0
|
|
if tvdb_links:
|
|
linked_series = await self._link_tvdb_to_series(tvdb_links)
|
|
|
|
return {
|
|
"done": done,
|
|
"errors": errors,
|
|
"tvdb_linked": linked_series,
|
|
}
|
|
|
|
except Exception as e:
|
|
logging.error(f"Import ausfuehren fehlgeschlagen: {e}")
|
|
return {"error": str(e)}
|
|
|
|
async def _link_tvdb_to_series(self, tvdb_links: dict) -> int:
|
|
"""Verknuepft importierte Serien mit TVDB in library_series"""
|
|
if not self._db_pool or not self.tvdb:
|
|
return 0
|
|
|
|
linked = 0
|
|
for series_name, tvdb_id in tvdb_links.items():
|
|
try:
|
|
async with self._db_pool.acquire() as conn:
|
|
async with conn.cursor() as cur:
|
|
# Serie in library_series finden (nach Namen)
|
|
await cur.execute(
|
|
"SELECT id, tvdb_id FROM library_series "
|
|
"WHERE (folder_name = %s OR title = %s) "
|
|
"AND tvdb_id IS NULL "
|
|
"LIMIT 1",
|
|
(series_name, series_name)
|
|
)
|
|
row = await cur.fetchone()
|
|
if row:
|
|
series_id = row[0]
|
|
# TVDB-Daten laden und verknuepfen
|
|
result = await self.tvdb.match_and_update_series(
|
|
series_id, int(tvdb_id), self.library
|
|
)
|
|
if not result.get("error"):
|
|
linked += 1
|
|
logging.info(
|
|
f"Import: TVDB verknuepft - "
|
|
f"{series_name} -> {tvdb_id}"
|
|
)
|
|
except Exception as e:
|
|
logging.warning(
|
|
f"TVDB-Link fehlgeschlagen fuer {series_name}: {e}"
|
|
)
|
|
|
|
return linked
|
|
|
|
async def _process_item(self, item: dict, mode: str,
|
|
job_id: int = 0) -> bool:
|
|
"""Einzelnes Item importieren (kopieren/verschieben + Metadaten)"""
|
|
src = item["source_file"]
|
|
target_dir = item["target_path"]
|
|
target_file = item["target_filename"]
|
|
|
|
if not target_dir or not target_file:
|
|
await self._update_item_status(item["id"], "error")
|
|
return False
|
|
|
|
target = os.path.join(target_dir, target_file)
|
|
src_size = item.get("source_size", 0) or os.path.getsize(src)
|
|
|
|
try:
|
|
# Zielordner erstellen
|
|
os.makedirs(target_dir, exist_ok=True)
|
|
|
|
# Alte Dateien fuer dieselbe Episode aufraeumen
|
|
# (z.B. "S01E03 - Unbekannt.mkv" wenn jetzt "S01E03 - Willkür.mkv" kommt)
|
|
season = item.get("detected_season")
|
|
episode = item.get("detected_episode")
|
|
if season is not None and episode is not None and os.path.isdir(target_dir):
|
|
ep_pattern = f"S{season:02d}E{episode:02d}"
|
|
for existing in os.listdir(target_dir):
|
|
existing_path = os.path.join(target_dir, existing)
|
|
if (existing != target_file
|
|
and ep_pattern in existing
|
|
and os.path.isfile(existing_path)):
|
|
logging.info(
|
|
f"Import: Alte Episode-Datei entfernt: {existing}"
|
|
)
|
|
os.remove(existing_path)
|
|
# Auch aus library_videos loeschen
|
|
if self._db_pool:
|
|
try:
|
|
async with self._db_pool.acquire() as conn:
|
|
async with conn.cursor() as cur:
|
|
await cur.execute(
|
|
"DELETE FROM library_videos "
|
|
"WHERE file_path = %s",
|
|
(existing_path,)
|
|
)
|
|
except Exception:
|
|
pass
|
|
|
|
# Fortschritt-Tracking in DB setzen
|
|
if job_id and self._db_pool:
|
|
await self._update_file_progress(
|
|
job_id, target_file, 0, src_size
|
|
)
|
|
|
|
if mode == "move":
|
|
shutil.move(src, target)
|
|
# Bei Move sofort fertig
|
|
if job_id and self._db_pool:
|
|
await self._update_file_progress(
|
|
job_id, target_file, src_size, src_size
|
|
)
|
|
else:
|
|
# Kopieren mit Fortschritt
|
|
await self._copy_with_progress(
|
|
src, target, job_id, target_file, src_size
|
|
)
|
|
|
|
logging.info(
|
|
f"Import: {os.path.basename(src)} -> {target}"
|
|
)
|
|
|
|
# Metadaten in Datei einbetten (falls TVDB-Infos vorhanden)
|
|
if item.get("tvdb_series_name") or item.get("detected_series"):
|
|
await self._embed_metadata(target, item)
|
|
|
|
await self._update_item_status(item["id"], "done")
|
|
return True
|
|
|
|
except Exception as e:
|
|
logging.error(f"Import fehlgeschlagen: {src}: {e}")
|
|
await self._update_item_status(item["id"], "error")
|
|
return False
|
|
|
|
async def _embed_metadata(self, file_path: str, item: dict) -> bool:
|
|
"""Bettet Metadaten mit ffmpeg in die Datei ein"""
|
|
import asyncio
|
|
import tempfile
|
|
|
|
series_name = item.get("tvdb_series_name") or item.get("detected_series") or ""
|
|
season = item.get("detected_season") or 0
|
|
episode = item.get("detected_episode") or 0
|
|
episode_title = item.get("tvdb_episode_title") or ""
|
|
|
|
if not series_name:
|
|
return False
|
|
|
|
# Temporaere Ausgabedatei
|
|
base, ext = os.path.splitext(file_path)
|
|
temp_file = f"{base}_temp{ext}"
|
|
|
|
# ffmpeg Metadaten-Befehl
|
|
cmd = [
|
|
"ffmpeg", "-y", "-i", file_path,
|
|
"-map", "0",
|
|
"-c", "copy",
|
|
"-metadata", f"title={episode_title}" if episode_title else f"S{season:02d}E{episode:02d}",
|
|
"-metadata", f"show={series_name}",
|
|
"-metadata", f"season_number={season}",
|
|
"-metadata", f"episode_sort={episode}",
|
|
"-metadata", f"episode_id=S{season:02d}E{episode:02d}",
|
|
]
|
|
|
|
# Fuer MKV zusaetzliche Tags
|
|
if file_path.lower().endswith(".mkv"):
|
|
cmd.extend([
|
|
"-metadata:s:v:0", f"title={series_name} - S{season:02d}E{episode:02d}",
|
|
])
|
|
|
|
cmd.append(temp_file)
|
|
|
|
try:
|
|
process = await asyncio.create_subprocess_exec(
|
|
*cmd,
|
|
stdout=asyncio.subprocess.PIPE,
|
|
stderr=asyncio.subprocess.PIPE,
|
|
)
|
|
_, stderr = await asyncio.wait_for(
|
|
process.communicate(), timeout=600 # 10 Min fuer grosse Dateien
|
|
)
|
|
|
|
if process.returncode == 0:
|
|
# Temporaere Datei ueber Original verschieben
|
|
os.replace(temp_file, file_path)
|
|
logging.info(f"Metadaten eingebettet: {os.path.basename(file_path)}")
|
|
return True
|
|
else:
|
|
logging.warning(
|
|
f"Metadaten einbetten fehlgeschlagen: "
|
|
f"{stderr.decode()[:200]}"
|
|
)
|
|
# Temp-Datei loeschen falls vorhanden
|
|
if os.path.exists(temp_file):
|
|
os.remove(temp_file)
|
|
return False
|
|
|
|
except asyncio.TimeoutError:
|
|
logging.warning(f"Metadaten einbetten Timeout: {file_path}")
|
|
if os.path.exists(temp_file):
|
|
os.remove(temp_file)
|
|
return False
|
|
except Exception as e:
|
|
logging.warning(f"Metadaten einbetten Fehler: {e}")
|
|
if os.path.exists(temp_file):
|
|
os.remove(temp_file)
|
|
return False
|
|
|
|
async def _update_item_status(self, item_id: int,
|
|
status: str) -> None:
|
|
if not self._db_pool:
|
|
return
|
|
try:
|
|
async with self._db_pool.acquire() as conn:
|
|
async with conn.cursor() as cur:
|
|
await cur.execute(
|
|
"UPDATE import_items SET status = %s "
|
|
"WHERE id = %s", (status, item_id)
|
|
)
|
|
except Exception:
|
|
pass
|
|
|
|
async def _update_file_progress(self, job_id: int, filename: str,
|
|
bytes_done: int, bytes_total: int) -> None:
|
|
"""Aktualisiert Byte-Fortschritt fuer aktuelle Datei"""
|
|
if not self._db_pool:
|
|
return
|
|
try:
|
|
async with self._db_pool.acquire() as conn:
|
|
async with conn.cursor() as cur:
|
|
await cur.execute(
|
|
"UPDATE import_jobs SET "
|
|
"current_file_name = %s, "
|
|
"current_file_bytes = %s, "
|
|
"current_file_total = %s "
|
|
"WHERE id = %s",
|
|
(filename, bytes_done, bytes_total, job_id)
|
|
)
|
|
except Exception:
|
|
pass
|
|
|
|
async def _copy_with_progress(self, src: str, dst: str,
|
|
job_id: int, filename: str,
|
|
total_size: int) -> None:
|
|
"""Kopiert Datei mit Fortschritts-Updates in DB"""
|
|
import asyncio
|
|
|
|
chunk_size = 64 * 1024 * 1024 # 64 MB Chunks
|
|
bytes_copied = 0
|
|
last_update = 0
|
|
|
|
loop = asyncio.get_event_loop()
|
|
|
|
def copy_chunk():
|
|
nonlocal bytes_copied
|
|
with open(src, 'rb') as fsrc, open(dst, 'wb') as fdst:
|
|
while True:
|
|
chunk = fsrc.read(chunk_size)
|
|
if not chunk:
|
|
break
|
|
fdst.write(chunk)
|
|
bytes_copied += len(chunk)
|
|
|
|
# Kopieren in Thread ausfuehren (nicht blockierend)
|
|
# Aber wir brauchen trotzdem Progress-Updates...
|
|
# Alternative: Chunk-weise mit Updates
|
|
|
|
with open(src, 'rb') as fsrc, open(dst, 'wb') as fdst:
|
|
while True:
|
|
# Chunk lesen (in Thread um nicht zu blockieren)
|
|
chunk = await loop.run_in_executor(
|
|
None, fsrc.read, chunk_size
|
|
)
|
|
if not chunk:
|
|
break
|
|
|
|
# Chunk schreiben
|
|
await loop.run_in_executor(None, fdst.write, chunk)
|
|
bytes_copied += len(chunk)
|
|
|
|
# Progress nur alle 50 MB updaten (weniger DB-Last)
|
|
if bytes_copied - last_update >= 50 * 1024 * 1024:
|
|
await self._update_file_progress(
|
|
job_id, filename, bytes_copied, total_size
|
|
)
|
|
last_update = bytes_copied
|
|
|
|
# Finales Update
|
|
await self._update_file_progress(
|
|
job_id, filename, total_size, total_size
|
|
)
|
|
|
|
# Metadaten kopieren (Zeitstempel etc.)
|
|
shutil.copystat(src, dst)
|
|
|
|
async def resolve_conflict(self, item_id: int,
|
|
action: str) -> bool:
|
|
"""Konflikt loesen: overwrite, skip, rename"""
|
|
if not self._db_pool or action not in ('overwrite', 'skip', 'rename'):
|
|
return False
|
|
try:
|
|
async with self._db_pool.acquire() as conn:
|
|
async with conn.cursor() as cur:
|
|
if action == 'skip':
|
|
await cur.execute(
|
|
"UPDATE import_items SET status = 'skipped', "
|
|
"user_action = 'skip' WHERE id = %s",
|
|
(item_id,)
|
|
)
|
|
elif action == 'rename':
|
|
# Dateiname mit Suffix versehen
|
|
await cur.execute(
|
|
"SELECT target_filename FROM import_items "
|
|
"WHERE id = %s", (item_id,)
|
|
)
|
|
row = await cur.fetchone()
|
|
if row and row[0]:
|
|
name, ext = os.path.splitext(row[0])
|
|
new_name = f"{name}_neu{ext}"
|
|
await cur.execute(
|
|
"UPDATE import_items SET "
|
|
"target_filename = %s, "
|
|
"status = 'matched', "
|
|
"user_action = 'rename' "
|
|
"WHERE id = %s",
|
|
(new_name, item_id)
|
|
)
|
|
else: # overwrite
|
|
await cur.execute(
|
|
"UPDATE import_items SET user_action = 'overwrite' "
|
|
"WHERE id = %s", (item_id,)
|
|
)
|
|
return True
|
|
except Exception as e:
|
|
logging.error(f"Konflikt loesen fehlgeschlagen: {e}")
|
|
return False
|
|
|
|
async def update_item(self, item_id: int, **kwargs) -> bool:
|
|
"""Manuelle Korrektur eines Items"""
|
|
if not self._db_pool:
|
|
return False
|
|
allowed = {
|
|
'detected_series', 'detected_season', 'detected_episode',
|
|
'tvdb_series_id', 'tvdb_series_name', 'tvdb_episode_title',
|
|
'target_path', 'target_filename', 'status'
|
|
}
|
|
updates = []
|
|
params = []
|
|
for k, v in kwargs.items():
|
|
if k in allowed:
|
|
updates.append(f"{k} = %s")
|
|
params.append(v)
|
|
if not updates:
|
|
return False
|
|
params.append(item_id)
|
|
try:
|
|
async with self._db_pool.acquire() as conn:
|
|
async with conn.cursor() as cur:
|
|
await cur.execute(
|
|
f"UPDATE import_items SET {', '.join(updates)} "
|
|
f"WHERE id = %s", params
|
|
)
|
|
return True
|
|
except Exception as e:
|
|
logging.error(f"Import-Item aktualisieren fehlgeschlagen: {e}")
|
|
return False
|
|
|
|
async def reassign_item(self, item_id: int,
|
|
series_name: str,
|
|
season: int, episode: int,
|
|
tvdb_id: int = None) -> dict:
|
|
"""Weist einem pending-Item eine Serie/Staffel/Episode zu.
|
|
|
|
Berechnet automatisch den Zielpfad und holt ggf. TVDB-Episodentitel.
|
|
"""
|
|
if not self._db_pool:
|
|
return {"error": "Keine DB-Verbindung"}
|
|
|
|
try:
|
|
async with self._db_pool.acquire() as conn:
|
|
async with conn.cursor(aiomysql.DictCursor) as cur:
|
|
# Item laden
|
|
await cur.execute(
|
|
"SELECT i.*, j.target_library_id, j.naming_pattern, "
|
|
"j.season_pattern FROM import_items i "
|
|
"JOIN import_jobs j ON j.id = i.import_job_id "
|
|
"WHERE i.id = %s", (item_id,)
|
|
)
|
|
item = await cur.fetchone()
|
|
if not item:
|
|
return {"error": "Item nicht gefunden"}
|
|
|
|
# Library-Pfad laden
|
|
await cur.execute(
|
|
"SELECT * FROM library_paths WHERE id = %s",
|
|
(item["target_library_id"],)
|
|
)
|
|
lib_path = await cur.fetchone()
|
|
if not lib_path:
|
|
return {"error": "Ziel-Library nicht gefunden"}
|
|
|
|
# TVDB-Name und Episodentitel holen
|
|
tvdb_name = series_name
|
|
tvdb_ep_title = ""
|
|
if tvdb_id and self.tvdb.is_configured:
|
|
# Serien-Info von TVDB holen
|
|
try:
|
|
info = await self.tvdb.get_series_info(tvdb_id)
|
|
if info and info.get("name"):
|
|
tvdb_name = info["name"]
|
|
except Exception:
|
|
pass
|
|
# Episodentitel holen
|
|
tvdb_ep_title = await self._get_episode_title(
|
|
tvdb_id, season, episode
|
|
)
|
|
|
|
# Zielpfad berechnen
|
|
ext = os.path.splitext(item["source_file"])[1].lstrip(".")
|
|
pattern = item.get("naming_pattern") or self._naming_pattern
|
|
season_pattern = item.get("season_pattern") or self._season_pattern
|
|
target_dir, target_file = self._build_target(
|
|
tvdb_name or series_name,
|
|
season, episode,
|
|
tvdb_ep_title or "",
|
|
ext,
|
|
lib_path["path"],
|
|
pattern, season_pattern
|
|
)
|
|
|
|
# In DB aktualisieren
|
|
async with self._db_pool.acquire() as conn:
|
|
async with conn.cursor() as cur:
|
|
await cur.execute("""
|
|
UPDATE import_items SET
|
|
detected_series = %s,
|
|
detected_season = %s,
|
|
detected_episode = %s,
|
|
tvdb_series_id = %s,
|
|
tvdb_series_name = %s,
|
|
tvdb_episode_title = %s,
|
|
target_path = %s,
|
|
target_filename = %s,
|
|
status = 'matched'
|
|
WHERE id = %s
|
|
""", (
|
|
series_name, season, episode,
|
|
tvdb_id, tvdb_name, tvdb_ep_title,
|
|
target_dir, target_file, item_id,
|
|
))
|
|
|
|
return {
|
|
"ok": True,
|
|
"target_dir": target_dir,
|
|
"target_file": target_file,
|
|
"tvdb_name": tvdb_name,
|
|
"tvdb_ep_title": tvdb_ep_title,
|
|
}
|
|
|
|
except Exception as e:
|
|
logging.error(f"Import-Item zuordnen fehlgeschlagen: {e}")
|
|
return {"error": str(e)}
|
|
|
|
async def skip_item(self, item_id: int) -> bool:
|
|
"""Markiert ein Item als uebersprungen"""
|
|
if not self._db_pool:
|
|
return False
|
|
try:
|
|
async with self._db_pool.acquire() as conn:
|
|
async with conn.cursor() as cur:
|
|
await cur.execute(
|
|
"UPDATE import_items SET status = 'skipped', "
|
|
"conflict_reason = 'Manuell uebersprungen' "
|
|
"WHERE id = %s", (item_id,)
|
|
)
|
|
return True
|
|
except Exception:
|
|
return False
|
|
|
|
async def get_all_jobs(self) -> list:
|
|
"""Liste aller Import-Jobs (neueste zuerst)"""
|
|
if not self._db_pool:
|
|
return []
|
|
try:
|
|
async with self._db_pool.acquire() as conn:
|
|
async with conn.cursor(aiomysql.DictCursor) as cur:
|
|
await cur.execute(
|
|
"SELECT id, source_path, status, total_files, "
|
|
"processed_files, created_at FROM import_jobs "
|
|
"ORDER BY id DESC LIMIT 20"
|
|
)
|
|
jobs = await cur.fetchall()
|
|
return [self._serialize(j) for j in jobs]
|
|
except Exception as e:
|
|
logging.error(f"Import-Jobs laden fehlgeschlagen: {e}")
|
|
return []
|
|
|
|
async def get_job_status(self, job_id: int) -> dict:
|
|
"""Status eines Import-Jobs mit allen Items"""
|
|
if not self._db_pool:
|
|
return {"error": "Keine DB-Verbindung"}
|
|
try:
|
|
async with self._db_pool.acquire() as conn:
|
|
async with conn.cursor(aiomysql.DictCursor) as cur:
|
|
await cur.execute(
|
|
"SELECT * FROM import_jobs WHERE id = %s", (job_id,)
|
|
)
|
|
job = await cur.fetchone()
|
|
if not job:
|
|
return {"error": "Job nicht gefunden"}
|
|
|
|
await cur.execute(
|
|
"SELECT * FROM import_items "
|
|
"WHERE import_job_id = %s ORDER BY source_file",
|
|
(job_id,)
|
|
)
|
|
items = await cur.fetchall()
|
|
|
|
# Bei abgeschlossenen Jobs: Importierte Serien-Ordner sammeln
|
|
imported_series = []
|
|
if job.get("status") in ("done", "error"):
|
|
series_folders = set()
|
|
for item in items:
|
|
if item.get("status") == "done" and item.get("target_path"):
|
|
series_folders.add(item["target_path"])
|
|
imported_series = list(series_folders)
|
|
|
|
return {
|
|
"job": self._serialize(job),
|
|
"items": [self._serialize(i) for i in items],
|
|
"imported_series": imported_series,
|
|
}
|
|
except Exception as e:
|
|
return {"error": str(e)}
|
|
|
|
@staticmethod
|
|
def _serialize(row: dict) -> dict:
|
|
"""Dict JSON-kompatibel machen"""
|
|
result = {}
|
|
for k, v in row.items():
|
|
if hasattr(v, "isoformat"):
|
|
result[k] = str(v)
|
|
else:
|
|
result[k] = v
|
|
return result
|
|
|
|
@staticmethod
|
|
def _fmt_size(b: int) -> str:
|
|
"""Bytes menschenlesbar"""
|
|
for u in ("B", "KiB", "MiB", "GiB"):
|
|
if b < 1024:
|
|
return f"{b:.1f} {u}"
|
|
b /= 1024
|
|
return f"{b:.1f} TiB"
|