79 lines
3.8 KiB
Python
79 lines
3.8 KiB
Python
"""飞书分流队列项模型"""
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from __future__ import annotations
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from datetime import datetime
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from typing import Optional
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from sqlalchemy import (
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BigInteger,
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Boolean,
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Float,
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ForeignKey,
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Index,
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Integer,
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TEXT,
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TIMESTAMP,
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VARCHAR,
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text,
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)
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from sqlalchemy.orm import Mapped, mapped_column
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from .base import Base
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from .types import JSONB
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class FeishuItem(Base):
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__tablename__ = "feishu_items"
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__table_args__ = (
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Index(
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"uq_feishu_items_tenant_message_root",
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"tenant_id",
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"feishu_message_id",
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unique=True,
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postgresql_where=text("split_from_item_id IS NULL AND feishu_message_id IS NOT NULL"),
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sqlite_where=text("split_from_item_id IS NULL AND feishu_message_id IS NOT NULL"),
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),
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Index(
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"uq_feishu_items_tenant_message_split",
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"tenant_id",
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"feishu_message_id",
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"split_from_item_id",
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unique=True,
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postgresql_where=text("split_from_item_id IS NOT NULL AND feishu_message_id IS NOT NULL"),
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sqlite_where=text("split_from_item_id IS NOT NULL AND feishu_message_id IS NOT NULL"),
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),
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)
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id: Mapped[int] = mapped_column(Integer, primary_key=True, autoincrement=True)
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feishu_message_id: Mapped[Optional[str]] = mapped_column(VARCHAR(128), nullable=True, index=True)
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project_score: Mapped[Optional[float]] = mapped_column(Float, nullable=True)
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signal_confidence: Mapped[Optional[float]] = mapped_column(Float, nullable=True)
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raw_message: Mapped[str] = mapped_column(TEXT, nullable=False)
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split_from_item_id: Mapped[Optional[int]] = mapped_column(
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BigInteger, ForeignKey("feishu_items.id"), nullable=True, index=True
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)
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level: Mapped[str] = mapped_column(VARCHAR(20), nullable=False, index=True)
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level_confidence: Mapped[Optional[float]] = mapped_column(Float, nullable=True)
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level_reasoning: Mapped[Optional[str]] = mapped_column(TEXT, nullable=True)
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card_type: Mapped[str] = mapped_column(VARCHAR(30), nullable=False, default="signal", index=True)
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route_status: Mapped[str] = mapped_column(VARCHAR(30), nullable=False, default="pending", index=True)
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matched_project_id: Mapped[Optional[int]] = mapped_column(BigInteger, nullable=True, index=True)
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source_chat_id: Mapped[Optional[str]] = mapped_column(VARCHAR(128), nullable=True)
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source_sender: Mapped[Optional[str]] = mapped_column(VARCHAR(120), nullable=True)
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source_sender_open_id: Mapped[Optional[str]] = mapped_column(VARCHAR(128), nullable=True)
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source_occurred_at: Mapped[Optional[datetime]] = mapped_column(TIMESTAMP, nullable=True)
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ai_output: Mapped[Optional[str]] = mapped_column(TEXT, nullable=True)
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decision_reason: Mapped[Optional[str]] = mapped_column(TEXT, nullable=True)
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blocking_reason: Mapped[Optional[str]] = mapped_column(TEXT, nullable=True)
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safe_to_auto_execute: Mapped[bool] = mapped_column(Boolean, nullable=False, default=False, index=True)
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auto_execute_state: Mapped[Optional[str]] = mapped_column(VARCHAR(30), nullable=True, index=True)
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dedupe_key: Mapped[Optional[str]] = mapped_column(VARCHAR(255), nullable=True, index=True)
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message_class: Mapped[Optional[str]] = mapped_column(VARCHAR(30), nullable=True, index=True)
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occurrence_count: Mapped[int] = mapped_column(Integer, nullable=False, default=1)
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next_step_text: Mapped[Optional[str]] = mapped_column(TEXT, nullable=True)
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undoable_until: Mapped[Optional[datetime]] = mapped_column(TIMESTAMP, nullable=True)
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result_payload: Mapped[Optional[dict]] = mapped_column(JSONB, nullable=True)
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queue_visible: Mapped[bool] = mapped_column(Boolean, nullable=False, default=True, index=True)
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processed_at: Mapped[Optional[datetime]] = mapped_column(TIMESTAMP, nullable=True)
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dismissed_reason: Mapped[Optional[str]] = mapped_column(TEXT, nullable=True)
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