112 lines
4.3 KiB
Python
112 lines
4.3 KiB
Python
from pgvector.sqlalchemy import Vector
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from sqlalchemy import (
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JSON,
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Boolean,
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Column,
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DateTime,
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Float,
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ForeignKey,
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Integer,
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String,
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Text,
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)
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from sqlalchemy.orm import relationship
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from sqlalchemy.dialects.postgresql import TSVECTOR as TSVector
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from app.core.db import Base, utc_now
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pgvector_type = Vector(1536)
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class MemorySource(Base):
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__tablename__ = "memory_sources"
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id = Column(String, primary_key=True)
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user_id = Column(String, ForeignKey("users.id"), nullable=False, index=True)
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source_type = Column(String, nullable=False) # transcript / note / draft
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raw_text = Column(Text, nullable=True)
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storage_key = Column(String, nullable=True)
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speaker = Column(String, nullable=True)
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captured_at = Column(DateTime(timezone=True), nullable=True)
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status = Column(String, default="active")
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conversation_id = Column(String, ForeignKey("conversations.id"), nullable=True)
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created_at = Column(DateTime(timezone=True), default=utc_now)
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chunks = relationship(
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"MemoryChunk", back_populates="source", cascade="all, delete-orphan"
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)
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class MemoryChunk(Base):
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__tablename__ = "memory_chunks"
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id = Column(String, primary_key=True)
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source_id = Column(
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String, ForeignKey("memory_sources.id"), nullable=False, index=True
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)
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user_id = Column(String, ForeignKey("users.id"), nullable=False, index=True)
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content = Column(Text, nullable=False)
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# pgvector embedding — Alembic migration 负责 CREATE EXTENSION vector 及列类型
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embedding = Column(pgvector_type, nullable=True)
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# PostgreSQL FTS — Alembic migration 负责 generated tsvector 列 + GIN index
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content_tsv = Column(TSVector, nullable=True)
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chunk_index = Column(Integer, nullable=False)
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speaker = Column(String, nullable=True)
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event_year = Column(Integer, nullable=True)
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metadata_json = Column(JSON, nullable=True)
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is_excluded = Column(Boolean, default=False)
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created_at = Column(DateTime(timezone=True), default=utc_now)
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source = relationship("MemorySource", back_populates="chunks")
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class MemorySummary(Base):
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__tablename__ = "memory_summaries"
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id = Column(String, primary_key=True)
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user_id = Column(String, ForeignKey("users.id"), nullable=False, index=True)
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summary_type = Column(String, nullable=False) # session / rolling / topic
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content = Column(Text, nullable=False)
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source_chunk_ids = Column(JSON, nullable=True)
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created_at = Column(DateTime(timezone=True), default=utc_now)
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updated_at = Column(DateTime(timezone=True), default=utc_now, onupdate=utc_now)
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class MemoryFact(Base):
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__tablename__ = "memory_facts"
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id = Column(String, primary_key=True)
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user_id = Column(String, ForeignKey("users.id"), nullable=False, index=True)
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fact_type = Column(
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String, nullable=False
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) # person / event / relation / place / milestone
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subject = Column(String, nullable=True)
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predicate = Column(String, nullable=True)
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object_json = Column(JSON, nullable=True)
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confidence = Column(Float, default=0.0)
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source_chunk_id = Column(String, ForeignKey("memory_chunks.id"), nullable=True)
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status = Column(String, default="candidate") # candidate / confirmed / rejected
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created_at = Column(DateTime(timezone=True), default=utc_now)
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class TimelineEvent(Base):
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__tablename__ = "timeline_events"
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id = Column(String, primary_key=True)
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user_id = Column(String, ForeignKey("users.id"), nullable=False, index=True)
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event_year = Column(Integer, nullable=True)
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event_date = Column(String, nullable=True)
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title = Column(String, nullable=False)
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description = Column(Text, nullable=True)
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person_refs = Column(JSON, nullable=True)
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source_fact_ids = Column(JSON, nullable=True)
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created_at = Column(DateTime(timezone=True), default=utc_now)
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class MemoryCurationAction(Base):
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__tablename__ = "memory_curation_actions"
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id = Column(String, primary_key=True)
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user_id = Column(String, ForeignKey("users.id"), nullable=False, index=True)
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action_type = Column(
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String, nullable=False
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) # exclude / restore / correct / merge / confirm / reject
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target_type = Column(
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String, nullable=False
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) # chunk / fact / summary / timeline_event
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target_id = Column(String, nullable=False)
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details = Column(JSON, nullable=True)
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created_at = Column(DateTime(timezone=True), default=utc_now)
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