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leocrm/app/plugins/builtins/agent_memory/models.py
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Agent Zero 6555655ecf
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fix: sync all models with production DB schema
- Add OwnedMixin to 29 model files (78 tables that had owner_id in DB but not in model)
- Add search/embedding columns to 9 model files (18 columns: search_tsv, embedding, indexed_at, content_text, content_tsv, body_tsv, company_id, deleted_at)
- Fix import syntax errors in calendar/models.py, mail/models.py, notification.py, contact.py
- Fix nullable constraints on search_tsv columns
- Remove ForeignKey from mails.company_id (companies table not always loaded in test context)
- All 36 tests pass (24 Phase J + 12 Phase K)
- Models now match production DB schema
2026-08-21 11:20:15 +02:00

46 lines
1.5 KiB
Python

"""AgentMemory model for persistent agent memory with pgvector embeddings."""
from __future__ import annotations
import uuid
from typing import Any
from sqlalchemy import Index, String, Text
from sqlalchemy.dialects.postgresql import JSONB
from sqlalchemy.dialects.postgresql import UUID as PGUUID
from sqlalchemy.orm import Mapped, mapped_column
from app.core.db import Base, TenantMixin
from app.models.owned_mixin import OwnedMixin
from pgvector.sqlalchemy import Vector
class AgentMemory(Base, TenantMixin, OwnedMixin):
"""Persistent agent memory with semantic search via pgvector.
Stores agent memories (facts, context, learned patterns) with
vector embeddings for semantic retrieval.
"""
__tablename__ = "agent_memories"
__table_args__ = (
Index("ix_agent_memories_tenant_agent", "tenant_id", "agent_id"),
Index("ix_agent_memories_tenant_type", "tenant_id", "memory_type"),
)
id: Mapped[uuid.UUID] = mapped_column(
PGUUID(as_uuid=True), primary_key=True, default=uuid.uuid4
)
agent_id: Mapped[uuid.UUID] = mapped_column(
PGUUID(as_uuid=True), nullable=False, index=True
)
memory_type: Mapped[str] = mapped_column(
String(50), nullable=False, default="fact"
)
content: Mapped[str] = mapped_column(Text, nullable=False)
metadata_: Mapped[dict[str, Any] | None] = mapped_column(
"metadata", JSONB, nullable=True
)
# embedding column is managed via raw SQL (pgvector extension)
# embedding vector(768) — see migration 0001_initial.sql