"""Data model representing one persisted processing pipeline log entry."""

import uuid
from datetime import UTC, datetime

from sqlalchemy import BigInteger, DateTime, ForeignKey, String, Text
from sqlalchemy.dialects.postgresql import JSONB, UUID
from sqlalchemy.orm import Mapped, mapped_column

from app.db.base import Base


class ProcessingLogEntry(Base):
    """Stores a timestamped processing event with optional model prompt and response text."""

    __tablename__ = "processing_logs"

    id: Mapped[int] = mapped_column(BigInteger, primary_key=True, autoincrement=True)
    created_at: Mapped[datetime] = mapped_column(DateTime(timezone=True), nullable=False, default=lambda: datetime.now(UTC))
    level: Mapped[str] = mapped_column(String(16), nullable=False, default="info")
    stage: Mapped[str] = mapped_column(String(64), nullable=False)
    event: Mapped[str] = mapped_column(String(256), nullable=False)
    document_id: Mapped[uuid.UUID | None] = mapped_column(
        UUID(as_uuid=True),
        ForeignKey("documents.id", ondelete="SET NULL"),
        nullable=True,
    )
    document_filename: Mapped[str | None] = mapped_column(String(512), nullable=True)
    provider_id: Mapped[str | None] = mapped_column(String(128), nullable=True)
    model_name: Mapped[str | None] = mapped_column(String(256), nullable=True)
    prompt_text: Mapped[str | None] = mapped_column(Text, nullable=True)
    response_text: Mapped[str | None] = mapped_column(Text, nullable=True)
    payload_json: Mapped[dict] = mapped_column(JSONB, nullable=False, default=dict)