39 lines
1.8 KiB
Python
39 lines
1.8 KiB
Python
"""大周天运行记录（architecture §3.2；v1-scope §3.3）。
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大周天是长期演化循环：记忆积累 → 自我评估 → 演化策略 → 候选生成。
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本表记录每次循环的触发、阶段与终态；演化候选 / 内驱力 / 自动抽取由后续
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子阶段写入各自表，循环本身只承载编排与留痕。
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"""
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from datetime import datetime
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from sqlalchemy import DateTime, ForeignKey, Integer, String, Text
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from sqlalchemy.orm import Mapped, mapped_column
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from app.core.ids import new_cycle_id
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from app.core.time import utc_now
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from app.db.base import Base
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class BigCycle(Base):
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"""大周天循环运行记录。"""
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__tablename__ = "big_cycles"
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id: Mapped[str] = mapped_column(String(80), primary_key=True, default=new_cycle_id)
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character_id: Mapped[str] = mapped_column(String(80), ForeignKey("characters.id"), index=True)
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trigger: Mapped[str] = mapped_column(String(40), nullable=False)
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status: Mapped[str] = mapped_column(String(40), nullable=False, default="pending", index=True)
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phase: Mapped[str | None] = mapped_column(String(40))
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memory_count_at_trigger: Mapped[int] = mapped_column(Integer, nullable=False, default=0)
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evaluation_snapshot_json: Mapped[str | None] = mapped_column(Text)
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summary: Mapped[str | None] = mapped_column(Text)
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error_code: Mapped[str | None] = mapped_column(String(80))
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error_message: Mapped[str | None] = mapped_column(Text)
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started_at: Mapped[datetime | None] = mapped_column(DateTime(timezone=True))
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completed_at: Mapped[datetime | None] = mapped_column(DateTime(timezone=True), index=True)
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created_at: Mapped[datetime] = mapped_column(DateTime(timezone=True), default=utc_now)
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updated_at: Mapped[datetime] = mapped_column(
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DateTime(timezone=True), default=utc_now, onupdate=utc_now
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)
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