39 lines
1.2 KiB
Python
39 lines
1.2 KiB
Python
"""Pipeline models for VoIdea - voice processing pipeline stages."""
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from datetime import datetime
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from typing import Optional
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from sqlalchemy import Boolean, Float, ForeignKey, Integer, String
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from sqlalchemy.dialects.postgresql import JSONB, UUID
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from sqlalchemy.orm import Mapped, mapped_column
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from app.core.base import SQLBase, TimestampMixin, UUIDMixin
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class PipelineStats(SQLBase, TimestampMixin):
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__tablename__ = "pipeline_stats"
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id: Mapped[str] = mapped_column(
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String(36), primary_key=True, default=lambda: str(__import__("uuid").uuid4())
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)
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user_id: Mapped[Optional[str]] = mapped_column(
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String(36), ForeignKey("users.id", ondelete="CASCADE"),
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nullable=True, index=True
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)
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stage: Mapped[str] = mapped_column(
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String(50), nullable=False, index=True
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)
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passed: Mapped[bool] = mapped_column(
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Boolean, nullable=False
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)
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reason: Mapped[Optional[str]] = mapped_column(
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String(255), nullable=True
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)
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duration_ms: Mapped[Optional[int]] = mapped_column(
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Integer, nullable=True
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)
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created_at: Mapped[datetime] = mapped_column(
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nullable=False,
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default=lambda: datetime.now(__import__("datetime").timezone.utc),
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)
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