38 lines
1.7 KiB
Python
38 lines
1.7 KiB
Python
"""ImportBatch — one scan run, aggregating many ImportTasks."""
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from datetime import datetime
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from sqlalchemy import DateTime, Integer, String, Text, func
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from sqlalchemy.orm import Mapped, mapped_column, relationship
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from .base import Base
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class ImportBatch(Base):
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__tablename__ = "import_batch"
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id: Mapped[int] = mapped_column(Integer, primary_key=True)
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triggered_by: Mapped[str] = mapped_column(String(32), nullable=False)
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source_path: Mapped[str] = mapped_column(Text, nullable=False)
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scan_mode: Mapped[str] = mapped_column(String(16), nullable=False) # quick|deep
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started_at: Mapped[datetime] = mapped_column(
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DateTime(timezone=True), nullable=False, server_default=func.now()
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)
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finished_at: Mapped[datetime | None] = mapped_column(DateTime(timezone=True), nullable=True)
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total_files: Mapped[int] = mapped_column(Integer, nullable=False, default=0)
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imported: Mapped[int] = mapped_column(Integer, nullable=False, default=0)
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skipped: Mapped[int] = mapped_column(Integer, nullable=False, default=0)
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failed: Mapped[int] = mapped_column(Integer, nullable=False, default=0)
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attachments: Mapped[int] = mapped_column(Integer, nullable=False, default=0)
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# Deep-scan only: count of already-imported files whose sidecar metadata
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# got re-applied this run (post/source/provenance upsert). Stays 0 on
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# quick-scan batches. See `Importer.import_one(deep_scan=True)`.
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refreshed: Mapped[int] = mapped_column(Integer, nullable=False, default=0)
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status: Mapped[str] = mapped_column(String(16), nullable=False, default="running", index=True)
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# running | complete | cancelled
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tasks = relationship("ImportTask", back_populates="batch", cascade="all, delete-orphan")
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