rippy/docker/worker/db.py

"""Job- und Log-Persistenz in PostgreSQL (KONZEPT: Postgres für Job-Logs).

Die Tabellendefinition existiert bewusst identisch in API und Worker
(docker/api/db.py) — es gibt kein geteiltes Paket zwischen den Containern.
Wer die Struktur ändert, ändert BEIDE Dateien. create_all ist idempotent.
"""

import os
from datetime import datetime, timezone

from sqlalchemy import (
    Column,
    DateTime,
    Integer,
    MetaData,
    String,
    Table,
    Text,
    create_engine,
)

DATABASE_URL = os.getenv(
    "DATABASE_URL", "postgresql://rippy:rippy@localhost:5432/rippy"
)

engine = create_engine(DATABASE_URL, pool_pre_ping=True)
metadata = MetaData()

jobs = Table(
    "jobs",
    metadata,
    Column("id", String(36), primary_key=True),
    Column("disc_type", String(16)),
    Column("device", String(64)),
    Column("title", String(255)),
    Column("status", String(16), nullable=False, server_default="pending"),
    Column("progress", Integer, nullable=False, server_default="0"),
    Column("output_path", Text),
    Column("target_dir", String(255)),
    Column("error", Text),
    Column("meta", Text),  # Disc-Metadaten (JSON) — Quelle für Ordnernamen + NFO
    Column("created_at", DateTime(timezone=True)),
    Column("finished_at", DateTime(timezone=True)),
)

logs = Table(
    "logs",
    metadata,
    Column("id", Integer, primary_key=True, autoincrement=True),
    Column("ts", DateTime(timezone=True)),
    Column("level", String(16)),
    Column("source", String(32)),
    Column("message", Text),
)


def utcnow() -> datetime:
    return datetime.now(timezone.utc)


def init_db() -> None:
    """Legt fehlende Tabellen an (idempotent) und zieht Mini-Migrationen nach.

    Die ALTERs stehen identisch in docker/api/db.py — wer zuerst startet,
    migriert; der andere findet die Spalten dann bereits vor.
    """
    metadata.create_all(engine)
    with engine.begin() as conn:
        conn.exec_driver_sql(
            "ALTER TABLE jobs ADD COLUMN IF NOT EXISTS target_dir VARCHAR(255)"
        )
        conn.exec_driver_sql(
            "ALTER TABLE jobs ADD COLUMN IF NOT EXISTS meta TEXT"
        )
        conn.exec_driver_sql(
            "ALTER TABLE workers ADD COLUMN IF NOT EXISTS info TEXT"
        )


settings_table = Table(
    "settings",
    metadata,
    Column("key", String(64), primary_key=True),
    Column("value", Text),
)

workers = Table(
    "workers",
    metadata,
    Column("name", String(128), primary_key=True),
    Column("encoders", Text),
    Column("info", Text),  # Werkzeug-Versionen (JSON: makemkv/handbrake/key-Quelle)
    Column("last_seen", DateTime(timezone=True)),
)


def save_worker(name: str, encoder_liste: list, info: dict = None) -> None:
    """Worker meldet Name + Encoder-Fähigkeiten + Werkzeug-Versionen (Upsert)."""
    import json

    payload = json.dumps(encoder_liste)
    info_payload = json.dumps(info or {})
    with engine.begin() as conn:
        vorhanden = conn.execute(
            workers.select().where(workers.c.name == name)
        ).first()
        if vorhanden:
            conn.execute(
                workers.update().where(workers.c.name == name).values(
                    encoders=payload, info=info_payload, last_seen=utcnow()
                )
            )
        else:
            conn.execute(
                workers.insert().values(
                    name=name, encoders=payload, info=info_payload, last_seen=utcnow()
                )
            )


def get_settings(key: str = "ui") -> dict:
    """UI-Einstellungen lesen (der Worker respektiert Transcode-Optionen)."""
    import json

    from sqlalchemy import select

    try:
        with engine.connect() as conn:
            zeile = conn.execute(
                select(settings_table.c.value).where(settings_table.c.key == key)
            ).first()
        if zeile and zeile[0]:
            return json.loads(zeile[0])
    except Exception:
        pass
    return {}


def get_job(job_id: str) -> dict:
    """Ganze Job-Zeile — der Worker braucht Titel + Metadaten für die
    Ordner-Benennung und die Media-Server-Aufbereitung (NFO/Poster)."""
    from sqlalchemy import select

    with engine.connect() as conn:
        zeile = conn.execute(
            select(jobs).where(jobs.c.id == job_id)
        ).mappings().first()
    return dict(zeile) if zeile else None


def save_settings(werte: dict, key: str = "ui") -> None:
    """Upsert in die settings-Tabelle — der Worker legt hier z. B. die
    Track-Scan-Ergebnisse ab (key 'tracks:<device>'), die API liest sie."""
    import json

    from sqlalchemy import select

    payload = json.dumps(werte)
    with engine.begin() as conn:
        vorhanden = conn.execute(
            select(settings_table.c.key).where(settings_table.c.key == key)
        ).first()
        if vorhanden:
            conn.execute(
                settings_table.update()
                .where(settings_table.c.key == key)
                .values(value=payload)
            )
        else:
            conn.execute(settings_table.insert().values(key=key, value=payload))


def get_job_status(job_id: str) -> str:
    """Nur der Status — der Worker prüft damit kooperative Abbruch-Anfragen."""
    from sqlalchemy import select

    with engine.connect() as conn:
        zeile = conn.execute(
            select(jobs.c.status).where(jobs.c.id == job_id)
        ).first()
    return zeile[0] if zeile else ""


def update_job(job_id: str, **fields) -> None:
    with engine.begin() as conn:
        conn.execute(jobs.update().where(jobs.c.id == job_id).values(**fields))


def add_log(level: str, source: str, message: str) -> None:
    with engine.begin() as conn:
        conn.execute(
            logs.insert().values(ts=utcnow(), level=level, source=source, message=message)
        )