"""
Simple job record schema for tracking synchronous batch operations.
"""
from sqlalchemy import Column, Integer, String, DateTime, Text, JSON, Index
from sqlalchemy.sql import func

from app.models.base import BaseModel


class JobRecord(BaseModel):
    """
    Minimal job tracking record (no worker/queue yet).

    Used to record outcomes and downloadable bundle info for synchronous jobs
    such as batch document generation.
    """
    __tablename__ = "jobs"

    id = Column(Integer, primary_key=True, autoincrement=True, index=True)
    job_id = Column(String(100), unique=True, nullable=False, index=True)
    job_type = Column(String(64), nullable=False, index=True)  # e.g., documents_batch
    status = Column(String(32), nullable=False, index=True)  # running|completed|failed

    # Request/identity
    requested_by_username = Column(String(150), nullable=True, index=True)

    # Timing
    started_at = Column(DateTime(timezone=True), server_default=func.now(), nullable=False, index=True)
    completed_at = Column(DateTime(timezone=True), nullable=True, index=True)

    # Metrics
    total_requested = Column(Integer, nullable=False, default=0)
    total_success = Column(Integer, nullable=False, default=0)
    total_failed = Column(Integer, nullable=False, default=0)

    # Result bundle (if any)
    result_storage_path = Column(String(512), nullable=True)
    result_mime_type = Column(String(100), nullable=True)
    result_size = Column(Integer, nullable=True)

    # Arbitrary details/metadata for easy querying
    details = Column(JSON, nullable=True)

    __table_args__ = (
        Index("ix_jobs_type_status", "job_type", "status"),
        {},
    )

    def __repr__(self):
        return (
            f"<JobRecord(job_id={self.job_id}, type='{self.job_type}', status='{self.status}', "
            f"success={self.total_success}/{self.total_requested})>"
        )