68 lines
3.3 KiB
Python
68 lines
3.3 KiB
Python
"""资料导入候选模型（api-spec §8；契约字典 §10.6 candidate.status）。
|
||
|
||
导入资料经模型抽取产生档案 / 记忆候选，待用户审核后应用；人格建议复用
|
||
``personality_proposals``（005）。``evidence_ids`` 指向 ``import_items.id``
|
||
（EvidenceRef source_type = ``import_item``）。
|
||
"""
|
||
|
||
from datetime import datetime
|
||
|
||
from sqlalchemy import DateTime, Float, ForeignKey, String, Text
|
||
from sqlalchemy.orm import Mapped, mapped_column
|
||
|
||
from app.core.ids import new_memory_candidate_id, new_profile_candidate_id
|
||
from app.core.time import utc_now
|
||
from app.db.base import Base
|
||
|
||
|
||
class ProfileCandidate(Base):
|
||
"""人物档案候选（契约字典 §10.6）。"""
|
||
|
||
__tablename__ = "character_profile_candidates"
|
||
|
||
id: Mapped[str] = mapped_column(String(80), primary_key=True, default=new_profile_candidate_id)
|
||
character_id: Mapped[str] = mapped_column(String(80), ForeignKey("characters.id"), index=True)
|
||
import_job_id: Mapped[str | None] = mapped_column(
|
||
String(80), ForeignKey("character_import_jobs.id"), index=True
|
||
)
|
||
field: Mapped[str] = mapped_column(String(60), nullable=False)
|
||
value: Mapped[str] = mapped_column(Text, nullable=False)
|
||
confidence: Mapped[float] = mapped_column(Float, nullable=False, default=0.5)
|
||
evidence_ids_json: Mapped[str] = mapped_column(Text, nullable=False, default="[]")
|
||
status: Mapped[str] = mapped_column(String(40), nullable=False, default="pending", index=True)
|
||
reason: Mapped[str | None] = mapped_column(Text)
|
||
reviewed_at: Mapped[datetime | None] = mapped_column(DateTime(timezone=True))
|
||
created_at: Mapped[datetime] = mapped_column(DateTime(timezone=True), default=utc_now)
|
||
updated_at: Mapped[datetime] = mapped_column(
|
||
DateTime(timezone=True), default=utc_now, onupdate=utc_now
|
||
)
|
||
|
||
|
||
class MemoryCandidate(Base):
|
||
"""记忆候选（契约字典 §10.6）。"""
|
||
|
||
__tablename__ = "memory_candidates"
|
||
|
||
id: Mapped[str] = mapped_column(String(80), primary_key=True, default=new_memory_candidate_id)
|
||
character_id: Mapped[str] = mapped_column(String(80), ForeignKey("characters.id"), index=True)
|
||
import_job_id: Mapped[str | None] = mapped_column(
|
||
String(80), ForeignKey("character_import_jobs.id"), index=True
|
||
)
|
||
cycle_id: Mapped[str | None] = mapped_column(
|
||
String(80), ForeignKey("big_cycles.id"), index=True
|
||
)
|
||
type: Mapped[str] = mapped_column(String(60), nullable=False)
|
||
title: Mapped[str] = mapped_column(String(200), nullable=False)
|
||
content: Mapped[str] = mapped_column(Text, nullable=False)
|
||
confidence: Mapped[float] = mapped_column(Float, nullable=False, default=0.5)
|
||
importance: Mapped[float] = mapped_column(Float, nullable=False, default=0.5)
|
||
sensitivity: Mapped[str] = mapped_column(String(40), nullable=False, default="low")
|
||
evidence_ids_json: Mapped[str] = mapped_column(Text, nullable=False, default="[]")
|
||
status: Mapped[str] = mapped_column(String(40), nullable=False, default="pending", index=True)
|
||
reason: Mapped[str | None] = mapped_column(Text)
|
||
reviewed_at: Mapped[datetime | None] = mapped_column(DateTime(timezone=True))
|
||
created_at: Mapped[datetime] = mapped_column(DateTime(timezone=True), default=utc_now)
|
||
updated_at: Mapped[datetime] = mapped_column(
|
||
DateTime(timezone=True), default=utc_now, onupdate=utc_now
|
||
)
|