Patrick AsmusandClaude Opus 4.6
851ff086ac
Die Dateigröße wird jetzt pro Aufnahme korrekt berechnet statt das gesamte Verzeichnis zu summieren. Bei abgeschlossenen Aufnahmen wird die Größe einmalig gespeichert und nicht mehr durch laufende Aufnahmen verändert. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
110 lines
3.8 KiB
Python
110 lines
3.8 KiB
Python
import datetime
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from sqlalchemy import create_engine, Column, Integer, String, Boolean, DateTime, Text, text
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from sqlalchemy.orm import declarative_base, sessionmaker
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Base = declarative_base()
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class Job(Base):
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__tablename__ = "jobs"
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id = Column(Integer, primary_key=True, autoincrement=True)
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name = Column(String(200), nullable=False)
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stream_url = Column(String(1000), nullable=False)
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stream_type = Column(String(20), default="auto")
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output_format = Column(String(10), default="")
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max_duration = Column(Integer, nullable=True)
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extra_ffmpeg_args = Column(String(500), default="")
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segment_duration = Column(Integer, nullable=True)
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schedule_enabled = Column(Boolean, default=False)
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schedule_once = Column(Boolean, default=False)
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schedule_date = Column(String(10), default="")
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schedule_days = Column(String(50), default="*")
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schedule_start = Column(String(5), default="")
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schedule_stop = Column(String(5), default="")
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schedule_end_date = Column(String(10), default="")
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description = Column(Text, default="")
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plik_enabled = Column(Boolean, default=False)
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delete_after_upload = Column(Boolean, default=False)
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ntfy_enabled = Column(Boolean, default=False)
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metadata_monitor_enabled = Column(Boolean, default=False)
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metadata_pattern = Column(String(200), default="")
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metadata_grace_period = Column(Integer, default=300)
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metadata_poll_interval = Column(Integer, default=30)
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created_at = Column(DateTime, default=datetime.datetime.utcnow)
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updated_at = Column(DateTime, default=datetime.datetime.utcnow, onupdate=datetime.datetime.utcnow)
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class Station(Base):
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__tablename__ = "stations"
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id = Column(Integer, primary_key=True, autoincrement=True)
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name = Column(String(200), nullable=False)
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stream_url = Column(String(1000), nullable=False)
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stream_type = Column(String(20), default="auto")
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description = Column(Text, default="")
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created_at = Column(DateTime, default=datetime.datetime.utcnow)
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updated_at = Column(DateTime, default=datetime.datetime.utcnow, onupdate=datetime.datetime.utcnow)
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class Recording(Base):
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__tablename__ = "recordings"
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id = Column(Integer, primary_key=True, autoincrement=True)
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job_id = Column(Integer, nullable=True)
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job_name = Column(String(200), nullable=False)
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stream_url = Column(String(1000), nullable=False)
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stream_type = Column(String(20), default="")
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output_dir = Column(String(500), default="")
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output_file = Column(String(500), default="")
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pid = Column(Integer, nullable=True)
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status = Column(String(20), default="running") # running, stopped, completed, error
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started_at = Column(DateTime, default=datetime.datetime.utcnow)
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stopped_at = Column(DateTime, nullable=True)
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scheduled_stop = Column(DateTime, nullable=True)
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segment_mode = Column(Boolean, default=False)
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is_scheduled = Column(Boolean, default=False)
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error_message = Column(Text, nullable=True)
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file_size = Column(Integer, nullable=True)
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class LogEntry(Base):
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__tablename__ = "logs"
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id = Column(Integer, primary_key=True, autoincrement=True)
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timestamp = Column(DateTime, default=datetime.datetime.utcnow)
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level = Column(String(10), default="INFO")
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message = Column(Text, nullable=False)
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job_name = Column(String(200), nullable=True)
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_engine = None
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_SessionLocal = None
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def init_db(db_path: str):
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global _engine, _SessionLocal
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_engine = create_engine(f"sqlite:///{db_path}", connect_args={"check_same_thread": False})
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Base.metadata.create_all(_engine)
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_SessionLocal = sessionmaker(bind=_engine)
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_migrate(_engine)
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def _migrate(engine):
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with engine.connect() as conn:
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try:
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conn.execute(text("ALTER TABLE recordings ADD COLUMN file_size INTEGER"))
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conn.commit()
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except Exception:
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pass
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def get_session():
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return _SessionLocal()
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