feat:客户agent以及记忆模块功能开发

model/memory_unit.py

@@ -0,0 +1,56 @@
+"""memory_unit 客户长期记忆主体表 ORM 模型。"""
+
+from __future__ import annotations
+
+from datetime import datetime
+from decimal import Decimal
+from typing import Any
+
+from sqlalchemy import BigInteger, DateTime, Integer, JSON, Numeric, String, Text, func
+from sqlalchemy.orm import Mapped, mapped_column
+
+from model.base import Base
+
+
+class MemoryUnit(Base):
+    """客户长期记忆主体，向量和关系索引保存在外部库。"""
+
+    __tablename__ = "memory_unit"
+    __table_args__ = {"comment": "客户长期记忆主体表"}
+
+    id: Mapped[int] = mapped_column(BigInteger, primary_key=True, autoincrement=True)
+    customer_id: Mapped[int] = mapped_column(BigInteger, nullable=False)
+    session_id: Mapped[str | None] = mapped_column(String(64))
+    agent_run_id: Mapped[str | None] = mapped_column(String(64))
+    memory_type: Mapped[str] = mapped_column(String(32), nullable=False)
+    tag: Mapped[str] = mapped_column(String(64), nullable=False)
+    content: Mapped[str] = mapped_column(String(512), nullable=False)
+    info_type: Mapped[str] = mapped_column(String(8), nullable=False)
+    source: Mapped[str] = mapped_column(String(32), nullable=False)
+    evidence_ref: Mapped[list[dict[str, Any]] | None] = mapped_column(JSON)
+    source_confidence: Mapped[Decimal] = mapped_column(Numeric(5, 2), server_default="0.20")
+    confidence: Mapped[Decimal] = mapped_column(Numeric(5, 2), server_default="0.20")
+    historical_accuracy: Mapped[Decimal] = mapped_column(Numeric(5, 2), server_default="0.50")
+    confidence_version: Mapped[str | None] = mapped_column(String(32))
+    confidence_reason: Mapped[str | None] = mapped_column(String(255))
+    confidence_update_time: Mapped[datetime | None] = mapped_column(DateTime)
+    evidence_count: Mapped[int] = mapped_column(Integer, server_default="0")
+    conflict_count: Mapped[int] = mapped_column(Integer, server_default="0")
+    recall_count: Mapped[int] = mapped_column(Integer, server_default="0")
+    memory_version: Mapped[int] = mapped_column(Integer, server_default="1")
+    update_time: Mapped[datetime | None] = mapped_column(DateTime)
+    last_recall_time: Mapped[datetime | None] = mapped_column(DateTime)
+    create_time: Mapped[datetime] = mapped_column(DateTime, server_default=func.now())
+    status: Mapped[str] = mapped_column(String(16), server_default="candidate")
+    valid_from: Mapped[datetime | None] = mapped_column(DateTime)
+    valid_until: Mapped[datetime | None] = mapped_column(DateTime)
+    last_verified_at: Mapped[datetime | None] = mapped_column(DateTime)
+    milvus_id: Mapped[str | None] = mapped_column(String(128))
+    graph_node_id: Mapped[str | None] = mapped_column(String(128))
+    milvus_sync_status: Mapped[str] = mapped_column(String(16), server_default="pending")
+    neo4j_sync_status: Mapped[str] = mapped_column(String(16), server_default="pending")
+    sync_retry_count: Mapped[int] = mapped_column(Integer, server_default="0")
+    last_sync_error: Mapped[str | None] = mapped_column(String(500))
+    next_retry_at: Mapped[datetime | None] = mapped_column(DateTime)
+    last_synced_at: Mapped[datetime | None] = mapped_column(DateTime)
+