docker.videokonverter/video-konverter/app/services/importer.py
data 4f151de78c feat: VideoKonverter v4.2 - TV Admin-Center, HLS-Streaming, Startseiten-Rubriken
- TV Admin-Center (/tv-admin): HLS-Settings, Session-Monitoring, User-Verwaltung
- HLS-Streaming: ffmpeg .ts-Segmente, hls.js, GPU VAAPI, SIGSTOP/SIGCONT
- Startseite: Rubriken (Weiterschauen, Neu, Serien, Filme, Schon gesehen)
- User-Settings: Startseiten-Rubriken konfigurierbar, Watch-Threshold
- UI: Amber/Gold Accent-Farbe, Focus-Ring-Fix, Player-Buttons einheitlich
- Cache-Busting: ?v= Timestamp auf allen CSS/JS Includes

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-02 17:57:48 +01:00

1611 lines
66 KiB
Python

"""Import-Service: Videos erkennen, TVDB-Match, umbenennen, einsortieren"""
import asyncio
import json
import logging
import os
import re
import shutil
from pathlib import Path
from typing import Optional
import aiomysql
from app.config import Config
from app.services.library import (
LibraryService, VIDEO_EXTENSIONS,
RE_SXXEXX_MULTI, RE_XXxXX_MULTI
)
from app.services.tvdb import TVDBService
from app.services.probe import ProbeService
# Serienname aus Dateiname extrahieren (alles vor SxxExx)
RE_SERIES_FROM_NAME = re.compile(
r'^(.+?)[\s._-]+[Ss]\d{1,2}[Ee]\d{1,3}', re.IGNORECASE
)
RE_SERIES_FROM_XXx = re.compile(
r'^(.+?)[\s._-]+\d{1,2}x\d{2,3}', re.IGNORECASE
)
# "Serienname - Staffel X" oder "Serienname Season X" in Ordnernamen
RE_STAFFEL_DIR = re.compile(
r'^(.+?)[\s._-]+(?:Staffel|Season)\s*(\d{1,2})\s*$', re.IGNORECASE
)
class ImporterService:
"""Video-Import: Erkennung, TVDB-Matching, Umbenennung, Kopieren/Verschieben"""
def __init__(self, config: Config, library_service: LibraryService,
tvdb_service: TVDBService):
self.config = config
self.library = library_service
self.tvdb = tvdb_service
self._db_pool: Optional[aiomysql.Pool] = None
self.ws_manager = None
def set_db_pool(self, pool: aiomysql.Pool) -> None:
self._db_pool = pool
def set_ws_manager(self, ws_manager) -> None:
"""WebSocket-Manager fuer Live-Updates"""
self.ws_manager = ws_manager
async def _broadcast_import(self, job_id: int, status: str,
processed: int = 0, total: int = 0,
current_file: str = "",
bytes_done: int = 0,
bytes_total: int = 0) -> None:
"""Sendet Import-Fortschritt per WebSocket"""
if not self.ws_manager:
return
await self.ws_manager.broadcast({
"data_import": {
"job_id": job_id,
"status": status,
"processed": processed,
"total": total,
"current_file": current_file,
"bytes_done": bytes_done,
"bytes_total": bytes_total,
}
})
@property
def _naming_pattern(self) -> str:
return self.config.settings.get("library", {}).get(
"import_naming_pattern",
"{series} - S{season:02d}E{episode:02d} - {title}.{ext}"
)
@property
def _season_pattern(self) -> str:
return self.config.settings.get("library", {}).get(
"import_season_pattern", "Season {season:02d}"
)
# === DB-Tabellen erstellen ===
async def init_db(self) -> None:
"""Import-Tabellen erstellen"""
if not self._db_pool:
return
try:
async with self._db_pool.acquire() as conn:
async with conn.cursor() as cur:
await cur.execute("""
CREATE TABLE IF NOT EXISTS import_jobs (
id INT AUTO_INCREMENT PRIMARY KEY,
source_path VARCHAR(1024) NOT NULL,
target_library_id INT NOT NULL,
status ENUM('pending','analyzing','pending_assignment',
'ready','importing','done','error')
DEFAULT 'pending',
mode ENUM('copy','move') DEFAULT 'copy',
naming_pattern VARCHAR(256),
season_pattern VARCHAR(256),
total_files INT DEFAULT 0,
processed_files INT DEFAULT 0,
overwrite_all TINYINT(1) DEFAULT 0,
created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
FOREIGN KEY (target_library_id)
REFERENCES library_paths(id)
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4
""")
await cur.execute("""
CREATE TABLE IF NOT EXISTS import_items (
id INT AUTO_INCREMENT PRIMARY KEY,
import_job_id INT NOT NULL,
source_file VARCHAR(1024) NOT NULL,
source_size BIGINT NOT NULL DEFAULT 0,
source_duration DOUBLE NULL,
detected_series VARCHAR(256),
detected_season INT,
detected_episode INT,
detected_episode_end INT NULL,
tvdb_series_id INT NULL,
tvdb_series_name VARCHAR(256),
tvdb_episode_title VARCHAR(512),
target_path VARCHAR(1024),
target_filename VARCHAR(512),
status ENUM('pending','pending_series','matched',
'conflict','skipped','done','error')
DEFAULT 'pending',
conflict_reason VARCHAR(512) NULL,
existing_file_path VARCHAR(1024) NULL,
existing_file_size BIGINT NULL,
user_action ENUM('overwrite','skip','rename') NULL,
FOREIGN KEY (import_job_id)
REFERENCES import_jobs(id) ON DELETE CASCADE,
INDEX idx_job (import_job_id)
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4
""")
logging.info("Import-Tabellen initialisiert")
# Migration: detected_episode_end Spalte hinzufuegen
async with self._db_pool.acquire() as conn:
async with conn.cursor() as cur:
try:
await cur.execute(
"ALTER TABLE import_items "
"ADD COLUMN detected_episode_end INT NULL "
"AFTER detected_episode"
)
logging.info("Import: Spalte detected_episode_end hinzugefuegt")
except Exception:
pass # Spalte existiert bereits
except Exception as e:
logging.error(f"Import-Tabellen erstellen fehlgeschlagen: {e}")
# === Job-Verwaltung ===
async def create_job(self, source_path: str,
target_library_id: int,
mode: str = 'copy') -> Optional[int]:
"""Erstellt einen Import-Job und sucht Video-Dateien im Quellordner"""
if not self._db_pool:
return None
if not os.path.isdir(source_path):
return None
if mode not in ('copy', 'move'):
mode = 'copy'
# Video-Dateien im Quellordner finden
videos = []
for root, dirs, files in os.walk(source_path):
dirs[:] = [d for d in dirs if not d.startswith(".")]
for f in sorted(files):
ext = os.path.splitext(f)[1].lower()
if ext in VIDEO_EXTENSIONS:
videos.append(os.path.join(root, f))
if not videos:
return None
try:
async with self._db_pool.acquire() as conn:
async with conn.cursor() as cur:
await cur.execute(
"INSERT INTO import_jobs "
"(source_path, target_library_id, status, mode, "
"naming_pattern, season_pattern, total_files) "
"VALUES (%s, %s, 'pending', %s, %s, %s, %s)",
(source_path, target_library_id, mode,
self._naming_pattern, self._season_pattern,
len(videos))
)
job_id = cur.lastrowid
# Items einfuegen
for vf in videos:
try:
size = os.path.getsize(vf)
except OSError:
size = 0
await cur.execute(
"INSERT INTO import_items "
"(import_job_id, source_file, source_size) "
"VALUES (%s, %s, %s)",
(job_id, vf, size)
)
logging.info(
f"Import-Job erstellt: {job_id} "
f"({len(videos)} Videos aus {source_path})"
)
return job_id
except Exception as e:
logging.error(f"Import-Job erstellen fehlgeschlagen: {e}")
return None
async def delete_job(self, job_id: int) -> dict:
"""Loescht einen Import-Job (nur wenn nicht gerade importiert wird)"""
if not self._db_pool:
return {"error": "Keine DB-Verbindung"}
try:
async with self._db_pool.acquire() as conn:
async with conn.cursor() as cur:
await cur.execute(
"SELECT status FROM import_jobs WHERE id = %s",
(job_id,)
)
row = await cur.fetchone()
if not row:
return {"error": "Job nicht gefunden"}
if row[0] == 'importing':
return {"error": "Job laeuft gerade, kann nicht geloescht werden"}
# Items werden per ON DELETE CASCADE mitgeloescht
await cur.execute(
"DELETE FROM import_jobs WHERE id = %s", (job_id,)
)
logging.info(f"Import-Job {job_id} geloescht")
return {"message": f"Import-Job {job_id} geloescht"}
except Exception as e:
logging.error(f"Import-Job {job_id} loeschen fehlgeschlagen: {e}")
return {"error": str(e)}
async def analyze_job(self, job_id: int) -> dict:
"""Phase 1: Nur Serie/Staffel/Episode aus Dateinamen extrahieren.
KEIN TVDB-Lookup, KEINE Zielpfade, KEINE Konflikt-Pruefung.
Das passiert erst nach der Serien-Zuordnung durch den User.
"""
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:
# Job laden
await cur.execute(
"SELECT * FROM import_jobs WHERE id = %s", (job_id,)
)
job = await cur.fetchone()
if not job:
return {"error": "Job nicht gefunden"}
# Status auf analyzing
await cur.execute(
"UPDATE import_jobs SET status = 'analyzing' "
"WHERE id = %s", (job_id,)
)
# Items laden
await cur.execute(
"SELECT * FROM import_items "
"WHERE import_job_id = %s ORDER BY source_file",
(job_id,)
)
items = await cur.fetchall()
# Jedes Item analysieren (NUR Dateiname-Erkennung)
total = len(items)
for idx, item in enumerate(items):
await self._analyze_item_basic(item)
await self._broadcast_import(
job_id, "analyzing",
processed=idx + 1, total=total,
current_file=os.path.basename(
item.get("source_file", "")
),
)
# Status auf 'pending_assignment' - wartet auf Serien-Zuordnung
async with self._db_pool.acquire() as conn:
async with conn.cursor() as cur:
await cur.execute(
"UPDATE import_jobs SET status = 'pending_assignment' "
"WHERE id = %s", (job_id,)
)
return await self.get_job_status(job_id)
except Exception as e:
logging.error(f"Import-Analyse fehlgeschlagen: {e}")
return {"error": str(e)}
async def _analyze_item_basic(self, item: dict) -> None:
"""Phase 1: Nur Serie/Staffel/Episode aus Dateinamen extrahieren."""
filename = os.path.basename(item["source_file"])
# Groessen-Check: Zu kleine Dateien als Sample/Trailer markieren
if item["source_size"] < self.MIN_EPISODE_SIZE:
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 = %s
WHERE id = %s
""", (
f"Vermutlich Sample/Trailer "
f"({self._fmt_size(item['source_size'])})",
item["id"],
))
except Exception:
pass
return
# Serie/Staffel/Episode erkennen (Dateiname + Ordnername)
info = self._detect_series_info(item["source_file"])
series_name = info.get("series", "")
season = info.get("season")
episode = info.get("episode")
episode_end = info.get("episode_end")
# Status: pending_series wenn Serie erkannt, sonst pending
if series_name and season and episode:
status = "pending_series" # Wartet auf Serien-Zuordnung
else:
status = "pending" # Nicht erkannt
# In DB aktualisieren (NUR erkannte Werte, KEIN Zielpfad)
try:
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,
detected_episode_end = %s,
status = %s,
conflict_reason = %s
WHERE id = %s
""", (
series_name, season, episode, episode_end,
status,
None if status == "pending_series"
else "Serie/Staffel/Episode nicht erkannt",
item["id"],
))
except Exception as e:
logging.error(f"Import-Item analysieren fehlgeschlagen: {e}")
async def get_pending_series(self, job_id: int) -> dict:
"""Gibt alle erkannten Serien zurueck, die noch zugeordnet werden muessen.
Gruppiert nach detected_series mit Anzahl der Dateien.
"""
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 detected_series, COUNT(*) as count,
MIN(detected_season) as min_season,
MAX(detected_season) as max_season
FROM import_items
WHERE import_job_id = %s
AND status = 'pending_series'
AND detected_series IS NOT NULL
GROUP BY detected_series
ORDER BY detected_series
""", (job_id,))
rows = await cur.fetchall()
series_list = []
for row in rows:
series_list.append({
"detected_name": row["detected_series"],
"count": row["count"],
"seasons": f"{row['min_season']}-{row['max_season']}"
if row["min_season"] != row["max_season"]
else str(row["min_season"]),
})
return {"series": series_list}
except Exception as e:
logging.error(f"Pending Series laden fehlgeschlagen: {e}")
return {"error": str(e)}
async def assign_series_mapping(self, job_id: int, detected_series: str,
tvdb_id: int, tvdb_name: str) -> dict:
"""Ordnet eine erkannte Serie einer TVDB-Serie zu.
Berechnet Zielpfade und prueft Konflikte fuer alle Dateien dieser Serie.
"""
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:
# Job + Library-Pfad laden
await cur.execute(
"SELECT j.*, lp.path as lib_path "
"FROM import_jobs j "
"JOIN library_paths lp ON lp.id = j.target_library_id "
"WHERE j.id = %s", (job_id,)
)
job = await cur.fetchone()
if not job:
return {"error": "Job nicht gefunden"}
# Alle Items mit diesem detected_series
await cur.execute(
"SELECT * FROM import_items "
"WHERE import_job_id = %s "
"AND LOWER(detected_series) = LOWER(%s) "
"AND status = 'pending_series'",
(job_id, detected_series)
)
items = await cur.fetchall()
if not items:
return {"error": f"Keine Items fuer '{detected_series}'"}
# Jedes Item: Zielpfad berechnen, Episodentitel holen, Konflikte pruefen
updated = 0
async with self._db_pool.acquire() as conn:
async with conn.cursor() as cur:
for item in items:
season = item["detected_season"]
episode = item["detected_episode"]
episode_end = item.get("detected_episode_end")
# Episodentitel von TVDB
tvdb_ep_title = ""
if tvdb_id and season and episode and self.tvdb.is_configured:
tvdb_ep_title = await self._get_episode_title(
int(tvdb_id), season, episode
)
# Zielpfad berechnen
ext = os.path.splitext(item["source_file"])[1].lstrip(".")
pattern = job.get("naming_pattern") or self._naming_pattern
season_pat = job.get("season_pattern") or self._season_pattern
target_dir, target_file = self._build_target(
tvdb_name, season, episode,
tvdb_ep_title, ext,
job["lib_path"],
pattern, season_pat,
episode_end=episode_end
)
target_path = os.path.join(target_dir, target_file)
# Konflikt pruefen
status = "matched"
conflict = None
existing_path = None
existing_size = None
if os.path.exists(target_path):
existing_path = target_path
existing_size = os.path.getsize(target_path)
source_size = item["source_size"]
if source_size and existing_size:
diff_pct = abs(source_size - existing_size) / max(
existing_size, 1
) * 100
if diff_pct > 20:
conflict = (
f"Datei existiert "
f"(Quelle: {self._fmt_size(source_size)}, "
f"Ziel: {self._fmt_size(existing_size)}, "
f"Diff: {diff_pct:.0f}%)"
)
else:
conflict = "Datei existiert (aehnliche Groesse)"
else:
conflict = "Datei existiert bereits"
status = "conflict"
await cur.execute("""
UPDATE import_items SET
tvdb_series_id = %s,
tvdb_series_name = %s,
tvdb_episode_title = %s,
target_path = %s,
target_filename = %s,
status = %s,
conflict_reason = %s,
existing_file_path = %s,
existing_file_size = %s
WHERE id = %s
""", (
tvdb_id, tvdb_name, tvdb_ep_title,
target_dir, target_file, status,
conflict, existing_path, existing_size,
item["id"],
))
updated += 1
# Pruefen ob noch pending_series Items uebrig sind
async with self._db_pool.acquire() as conn:
async with conn.cursor() as cur:
await cur.execute(
"SELECT COUNT(*) FROM import_items "
"WHERE import_job_id = %s AND status = 'pending_series'",
(job_id,)
)
remaining = (await cur.fetchone())[0]
# Wenn alle Serien zugeordnet -> Status auf ready
if remaining == 0:
await cur.execute(
"UPDATE import_jobs SET status = 'ready' "
"WHERE id = %s", (job_id,)
)
logging.info(
f"Serien-Zuordnung: {updated} Items fuer "
f"'{detected_series}' -> '{tvdb_name}' (TVDB: {tvdb_id})"
)
return {
"ok": True,
"updated": updated,
"tvdb_name": tvdb_name,
"remaining_series": remaining,
}
except Exception as e:
logging.error(f"Serien-Zuordnung fehlgeschlagen: {e}")
return {"error": str(e)}
# Mindestgroesse fuer "echte" Episoden (darunter = Sample/Trailer)
MIN_EPISODE_SIZE = 100 * 1024 * 1024 # 100 MiB
def _detect_series_info(self, file_path: str) -> dict:
"""Extrahiert Serienname, Staffel, Episode.
Versucht zuerst den Dateinamen, dann den uebergeordneten
Ordnernamen als Fallback. Der Ordnername ist oft zuverlaessiger
bei Release-Gruppen-Prefixes (z.B. 'tlr-24.s07e01.mkv' vs
Ordner '24.S07E01.German.DL.1080p.Bluray.x264-TLR').
Erkennt auch 'Serienname - Staffel X'-Ordner (haeufig bei DE-Medien).
"""
filename = os.path.basename(file_path)
parent_dir = os.path.basename(os.path.dirname(file_path))
grandparent_dir = os.path.basename(
os.path.dirname(os.path.dirname(file_path))
)
# Beide Quellen versuchen
info_file = self._parse_name(filename)
info_dir = self._parse_name(parent_dir)
# Strategie: Ordnername bevorzugen bei Scene-Releases.
# Scene-Ordner: "24.S07E01.German.DL.1080p-TLR" -> Serie="24"
# Scene-Datei: "tlr-24.s07e01.1080p.mkv" -> Serie="tlr-24"
# Ordnername hat Serienname vorne, Dateiname oft Release-Tag vorne
# Ordnername hat S/E -> bevorzugen (hat meist korrekten Seriennamen)
if info_dir.get("season") and info_dir.get("episode"):
if info_dir.get("series"):
return info_dir
# Ordner hat S/E aber keinen Namen -> Dateiname nehmen
if info_file.get("series"):
info_dir["series"] = info_file["series"]
return info_dir
# "Staffel X" / "Season X" Pattern im Ordnernamen
# z.B. "24 - Staffel 6" -> Serie="24", Staffel=6
# Episode kommt dann aus dem Dateinamen
staffel_info = self._parse_staffel_dir(parent_dir)
if not staffel_info:
staffel_info = self._parse_staffel_dir(grandparent_dir)
if staffel_info and info_file.get("episode"):
return {
"series": staffel_info["series"],
"season": staffel_info["season"],
"episode": info_file["episode"],
"episode_end": info_file.get("episode_end"),
}
# Dateiname hat S/E
if info_file.get("season") and info_file.get("episode"):
# Ordner-Serienname als Fallback wenn Datei keinen hat
if not info_file.get("series") and info_dir.get("series"):
info_file["series"] = info_dir["series"]
return info_file
return info_file
async def _get_cached_tvdb_match(self, series_name: str) -> Optional[dict]:
"""Prueft ob diese Serie schon in library_series mit TVDB-ID existiert."""
if not self._db_pool:
return None
try:
async with self._db_pool.acquire() as conn:
async with conn.cursor(aiomysql.DictCursor) as cur:
await cur.execute(
"SELECT tvdb_id, title FROM library_series "
"WHERE tvdb_id IS NOT NULL "
"AND (LOWER(folder_name) = LOWER(%s) "
" OR LOWER(title) = LOWER(%s))",
(series_name, series_name)
)
row = await cur.fetchone()
if row:
return {
"tvdb_id": row["tvdb_id"],
"name": row["title"],
}
except Exception:
pass
return None
@staticmethod
def _parse_staffel_dir(dir_name: str) -> Optional[dict]:
"""Erkennt 'Serienname - Staffel X' Pattern in Ordnernamen"""
m = RE_STAFFEL_DIR.match(dir_name)
if m:
series = m.group(1).replace(".", " ").replace("_", " ").strip()
series = re.sub(r'\s+', ' ', series).rstrip(" -")
if series:
return {"series": series, "season": int(m.group(2))}
return None
def _parse_name(self, name: str) -> dict:
"""Extrahiert Serienname, Staffel, Episode aus einem Namen.
Unterstuetzt Doppelfolgen: S09E19E20, S01E01-E02, 1x01-02"""
result = {"series": "", "season": None, "episode": None,
"episode_end": None}
name_no_ext = os.path.splitext(name)[0]
# S01E02 / Doppelfolge S01E01E02 Format
m = RE_SXXEXX_MULTI.search(name)
if m:
result["season"] = int(m.group(1))
result["episode"] = int(m.group(2))
if m.group(3):
result["episode_end"] = int(m.group(3))
sm = RE_SERIES_FROM_NAME.match(name_no_ext)
if sm:
result["series"] = self._clean_name(sm.group(1))
return result
# 1x02 / Doppelfolge 1x01-02 Format
m = RE_XXxXX_MULTI.search(name)
if m:
result["season"] = int(m.group(1))
result["episode"] = int(m.group(2))
if m.group(3):
result["episode_end"] = int(m.group(3))
sm = RE_SERIES_FROM_XXx.match(name_no_ext)
if sm:
result["series"] = self._clean_name(sm.group(1))
return result
return result
@staticmethod
def _clean_name(name: str) -> str:
"""Bereinigt Seriennamen: Punkte/Underscores durch Leerzeichen"""
name = name.replace(".", " ").replace("_", " ")
# Mehrfach-Leerzeichen reduzieren
name = re.sub(r'\s+', ' ', name).strip()
# Trailing Bindestriche entfernen
name = name.rstrip(" -")
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,
episode_end: Optional[int] = None) -> tuple[str, str]:
"""Baut Ziel-Ordner und Dateiname nach Pattern.
Unterstuetzt Doppelfolgen via episode_end."""
s = season or 1
e = episode or 0
# Season-Ordner
season_dir = season_pattern.format(season=s)
# Episode-Teil: S01E02 oder S01E02E03 bei Doppelfolgen
ep_str = f"S{s:02d}E{e:02d}"
if episode_end and episode_end != e:
ep_str += f"E{episode_end:02d}"
# Dateiname - kein Titel: ohne Titel-Teil, sonst mit
try:
if title:
filename = pattern.format(
series=series, season=s, episode=e,
title=title, ext=ext
)
# Doppelfolge: E-Teil im generierten Namen ersetzen
if episode_end and episode_end != e:
filename = filename.replace(
f"S{s:02d}E{e:02d}", ep_str, 1
)
else:
filename = f"{series} - {ep_str}.{ext}"
except (KeyError, ValueError):
if title:
filename = f"{series} - {ep_str} - {title}.{ext}"
else:
filename = f"{series} - {ep_str}.{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
total_items = len(items)
for item in items:
# WS-Broadcast VOR dem Kopieren
await self._broadcast_import(
job_id, "importing",
processed=done + errors, total=total_items,
current_file=os.path.basename(
item.get("source_file", "")
),
bytes_total=item.get("source_size", 0),
)
ok = await self._process_item(
item, mode, job_id, done + errors, total_items
)
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)
)
# WS-Broadcast NACH dem Kopieren
await self._broadcast_import(
job_id, "importing",
processed=done + errors, total=total_items,
)
# Job abschliessen
final_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", (final_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)
# Finaler WS-Broadcast
await self._broadcast_import(
job_id, final_status,
processed=done + errors, total=total_items,
)
# Auto-Scan: Ziel-Bibliothek aktualisieren
target_lib_id = job.get("target_library_id")
if target_lib_id and self.library:
logging.info(
f"Import abgeschlossen - starte Auto-Scan "
f"fuer Bibliothek {target_lib_id}"
)
await self.library.scan_single_path(target_lib_id)
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,
item_processed: int = 0,
item_total: 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,
item_processed, item_total
)
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"):
# WS-Broadcast: Metadaten-Phase anzeigen
await self._broadcast_import(
job_id, "embedding",
processed=item_processed, total=item_total,
current_file=target_file,
)
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,
item_processed: int = 0,
item_total: int = 0) -> None:
"""Kopiert Datei mit Fortschritts-Updates in DB + WebSocket"""
chunk_size = 64 * 1024 * 1024 # 64 MB Chunks
bytes_copied = 0
last_update = 0
loop = asyncio.get_event_loop()
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 alle 50 MB updaten (DB + WebSocket)
if bytes_copied - last_update >= 50 * 1024 * 1024:
await self._update_file_progress(
job_id, filename, bytes_copied, total_size
)
await self._broadcast_import(
job_id, "importing",
processed=item_processed,
total=item_total,
current_file=filename,
bytes_done=bytes_copied,
bytes_total=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 resolve_all_conflicts(self, job_id: int, action: str) -> dict:
"""Loest ALLE Konflikte eines Jobs auf einmal.
action: 'overwrite' oder 'skip'
"""
if not self._db_pool or action not in ('overwrite', 'skip'):
return {"error": "Ungueltige Aktion"}
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 import_job_id = %s AND status = 'conflict' "
"AND user_action IS NULL",
(job_id,)
)
else: # overwrite
await cur.execute(
"UPDATE import_items SET user_action = 'overwrite' "
"WHERE import_job_id = %s AND status = 'conflict' "
"AND user_action IS NULL",
(job_id,)
)
updated = cur.rowcount
logging.info(f"Alle Konflikte geloest: {updated} Items -> {action}")
return {"ok": True, "updated": updated}
except Exception as e:
logging.error(f"Alle Konflikte loesen fehlgeschlagen: {e}")
return {"error": str(e)}
async def set_overwrite_mode(self, job_id: int, overwrite: bool) -> dict:
"""Setzt den Ueberschreiben-Modus fuer den ganzen Job.
Wenn overwrite=True, werden alle Konflikte automatisch ueberschrieben.
"""
if not self._db_pool:
return {"error": "Keine DB-Verbindung"}
try:
async with self._db_pool.acquire() as conn:
async with conn.cursor() as cur:
await cur.execute(
"UPDATE import_jobs SET overwrite_all = %s "
"WHERE id = %s", (1 if overwrite else 0, job_id)
)
# Wenn aktiviert: Alle bestehenden Konflikte auf overwrite setzen
if overwrite:
await cur.execute(
"UPDATE import_items SET user_action = 'overwrite' "
"WHERE import_job_id = %s AND status = 'conflict' "
"AND user_action IS NULL",
(job_id,)
)
return {"ok": True, "overwrite_all": overwrite}
except Exception as e:
logging.error(f"Overwrite-Modus setzen fehlgeschlagen: {e}")
return {"error": str(e)}
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',
'detected_episode_end',
'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 reassign_series(self, job_id: int, detected_series: str,
tvdb_id: int = None,
series_name: str = None) -> dict:
"""Ordnet alle Items mit gleichem detected_series einer Serie zu.
Setzt TVDB-ID + Episodentitel + Zielpfade fuer alle passenden 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:
# Job + Library-Pfad laden
await cur.execute(
"SELECT j.*, lp.path as lib_path "
"FROM import_jobs j "
"JOIN library_paths lp ON lp.id = j.target_library_id "
"WHERE j.id = %s", (job_id,)
)
job = await cur.fetchone()
if not job:
return {"error": "Job nicht gefunden"}
# Alle Items mit gleichem detected_series
await cur.execute(
"SELECT * FROM import_items "
"WHERE import_job_id = %s "
"AND LOWER(detected_series) = LOWER(%s) "
"AND status IN ('pending', 'matched') "
"AND detected_season IS NOT NULL "
"AND detected_episode IS NOT NULL",
(job_id, detected_series)
)
items = await cur.fetchall()
if not items:
return {"error": f"Keine Items fuer '{detected_series}'"}
# TVDB-Name holen
tvdb_name = series_name or detected_series
if tvdb_id and self.tvdb.is_configured:
try:
info = await self.tvdb.get_series_info(tvdb_id)
if info and info.get("name"):
tvdb_name = info["name"]
except Exception:
pass
# Jedes Item aktualisieren (eine Connection fuer alle)
updated = 0
async with self._db_pool.acquire() as conn:
async with conn.cursor() as cur:
for item in items:
season = item["detected_season"]
episode = item["detected_episode"]
ep_end = item.get("detected_episode_end")
# Episodentitel holen
tvdb_ep_title = ""
if tvdb_id and season and episode:
tvdb_ep_title = await self._get_episode_title(
int(tvdb_id), season, episode
)
# Zielpfad berechnen
ext = os.path.splitext(
item["source_file"]
)[1].lstrip(".")
pattern = (job.get("naming_pattern")
or self._naming_pattern)
season_pat = (job.get("season_pattern")
or self._season_pattern)
target_dir, target_file = self._build_target(
tvdb_name, season, episode,
tvdb_ep_title, ext,
job["lib_path"],
pattern, season_pat,
episode_end=ep_end
)
await cur.execute("""
UPDATE import_items SET
tvdb_series_id = %s,
tvdb_series_name = %s,
tvdb_episode_title = %s,
target_path = %s,
target_filename = %s,
status = 'matched',
conflict_reason = NULL
WHERE id = %s
""", (
tvdb_id, tvdb_name, tvdb_ep_title,
target_dir, target_file, item["id"],
))
updated += 1
logging.info(
f"Serien-Zuordnung: {updated} Items fuer "
f"'{detected_series}' -> '{tvdb_name}'"
)
return {"ok": True, "updated": updated, "tvdb_name": tvdb_name}
except Exception as e:
logging.error(f"Serien-Zuordnung fehlgeschlagen: {e}")
return {"error": str(e)}
async def skip_series(self, job_id: int,
detected_series: str) -> dict:
"""Ueberspringt alle Items mit gleichem detected_series."""
if not self._db_pool:
return {"error": "Keine DB-Verbindung"}
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 = 'Serie uebersprungen' "
"WHERE import_job_id = %s "
"AND LOWER(detected_series) = LOWER(%s) "
"AND status IN ('pending', 'pending_series', "
"'matched')",
(job_id, detected_series)
)
skipped = cur.rowcount
logging.info(
f"Serie uebersprungen: {skipped} Items "
f"fuer '{detected_series}'"
)
return {"ok": True, "skipped": skipped}
except Exception as e:
logging.error(f"Serie ueberspringen 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"