feat(knowledge): 任务队列、独立 worker 与 pgvector 向量索引
知识处理改为数据库任务队列,独立 worker 做切块与向量化,失败可重试。
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"""
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Copyright 2024-2026 ChatterMate
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License.
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Keeps the agent_id list inside the vector store in step with the relational
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knowledge_to_agents links.
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Retrieval filters on `filters->'agent_id'`, so a link row that never reaches the
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vector store is invisible to the agent: the dashboard shows the source as linked
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while the agent cannot retrieve a single chunk of it. Both directions live here
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so link and unlink cannot drift apart.
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"""
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import json
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from typing import List, Optional
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from uuid import UUID
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from sqlalchemy import text
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from sqlalchemy.orm import Session
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from app.core.logger import get_logger
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from app.models.knowledge import Knowledge
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logger = get_logger(__name__)
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# Every caller-influenced value is bound as a query parameter. The JSON payloads
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# embed knowledge.source (a user-supplied title) and json.dumps does not escape
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# single quotes, so interpolating them into a '...'::jsonb literal would allow
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# SQL injection. Only the system-derived schema/table identifiers are inlined.
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#
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# CAST(:x AS jsonb), never :x::jsonb — SQLAlchemy's text() bind-parameter regex
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# has a negative lookahead on ':', so a parameter immediately followed by the
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# '::' cast operator is not recognised as a parameter at all. It reaches the
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# driver as a literal ':new_filters' and Postgres rejects it with
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# `syntax error at or near ":"`.
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_UPDATE_SQL = """
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UPDATE {schema}."{table}"
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SET
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filters = CAST(:new_filters AS jsonb),
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meta_data = CASE
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WHEN meta_data IS NULL THEN
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CASE WHEN :has_agents THEN jsonb_build_object('agent_id', CAST(:agent_ids AS jsonb))
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ELSE NULL END
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WHEN meta_data ? 'agent_id' THEN
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jsonb_set(meta_data, '{{agent_id}}', CAST(:agent_ids AS jsonb))
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ELSE
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meta_data || jsonb_build_object('agent_id', CAST(:agent_ids AS jsonb))
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END
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WHERE name = :source
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"""
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def get_linked_agent_ids(db: Session, knowledge: Knowledge) -> Optional[List[str]]:
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"""Agent ids currently recorded in the vector store for this source.
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Returns None when the source has no rows in the vector table yet (nothing to
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sync — the chunks have not been written), which callers must distinguish
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from an empty list (rows exist, no agents linked).
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"""
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if not knowledge.table_name or not knowledge.schema:
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return None
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row = db.execute(
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text(
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f'SELECT filters FROM {knowledge.schema}."{knowledge.table_name}" '
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"WHERE name = :source LIMIT 1"
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),
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{"source": knowledge.source},
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).first()
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if row is None:
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return None
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filters = row.filters or {}
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agent_ids = filters.get("agent_id") or []
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# Defensive: the column is caller-adjacent JSON, so a non-list here would
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# otherwise propagate a bad type into the rewritten filters.
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return [str(a) for a in agent_ids] if isinstance(agent_ids, list) else []
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def sync_agent_ids(db: Session, knowledge: Knowledge, agent_ids: List[str]) -> None:
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"""Rewrite filters/meta_data for every chunk of `knowledge` to `agent_ids`.
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Does not commit — the caller owns the transaction so the link row and this
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update land together.
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"""
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if not knowledge.table_name or not knowledge.schema:
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return
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# Order-independent de-duplication; sorted so repeated syncs are idempotent
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# and the stored JSON does not churn.
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unique_ids = sorted(set(agent_ids))
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new_filters = {
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"name": knowledge.source,
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"org_id": str(knowledge.organization_id),
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"agent_id": unique_ids,
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}
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db.execute(
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text(_UPDATE_SQL.format(schema=knowledge.schema, table=knowledge.table_name)),
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{
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"source": knowledge.source,
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"new_filters": json.dumps(new_filters),
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"agent_ids": json.dumps(unique_ids),
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"has_agents": bool(unique_ids),
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},
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)
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logger.info(
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"Synced vector-store agent_id for knowledge source %s: %d agent(s)",
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knowledge.source,
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len(unique_ids),
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)
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def add_agent(db: Session, knowledge: Knowledge, agent_uuid: UUID) -> None:
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"""Add one agent to the vector-store filters, preserving the others."""
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current = get_linked_agent_ids(db, knowledge)
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if current is None:
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return
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sync_agent_ids(db, knowledge, current + [str(agent_uuid)])
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def remove_agent(db: Session, knowledge: Knowledge, agent_uuid: UUID) -> None:
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"""Remove one agent from the vector-store filters, preserving the others."""
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current = get_linked_agent_ids(db, knowledge)
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if current is None:
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return
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sync_agent_ids(db, knowledge, [a for a in current if a != str(agent_uuid)])
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