mirror of
https://github.com/langbot-app/LangBot.git
synced 2026-07-21 20:06:06 +00:00
fix(tenancy): close isolation and permission gaps
This commit is contained in:
Junyan Qin
@@ -1,12 +1,16 @@
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from __future__ import annotations
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from datetime import datetime
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import json
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from types import SimpleNamespace
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from unittest.mock import AsyncMock, Mock
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import pytest
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import sqlalchemy
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from langbot.pkg.api.http.context import ExecutionContext
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from langbot.pkg.api.http.controller.groups.knowledge.migration import KnowledgeMigrationRouterGroup
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from langbot.pkg.persistence.tenant_uow import _validate_scoped_statement_call
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from langbot.pkg.workspace.errors import WorkspaceInvariantError, WorkspaceNotFoundError
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@@ -67,3 +71,223 @@ async def test_cloud_migration_is_rejected_before_legacy_table_access():
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router._table_exists.assert_not_awaited()
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router.ap.plugin_connector.require_workspace_context.assert_not_awaited()
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router._set_migration_flag.assert_not_awaited()
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@pytest.mark.asyncio
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@pytest.mark.parametrize('database_name, exists', [('postgresql', True), ('sqlite', False)])
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async def test_legacy_table_discovery_uses_scoped_structured_queries(database_name: str, exists: bool):
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result = Mock()
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result.first.return_value = ('knowledge_bases_backup',) if exists else None
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execute_async = AsyncMock(return_value=result)
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router = object.__new__(KnowledgeMigrationRouterGroup)
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router.ap = SimpleNamespace(
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persistence_mgr=SimpleNamespace(
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db=SimpleNamespace(name=database_name),
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execute_async=execute_async,
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)
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)
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assert await router._table_exists('knowledge_bases_backup') is exists
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statement = execute_async.await_args.args[0]
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assert isinstance(statement, sqlalchemy.sql.selectable.SelectBase)
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_validate_scoped_statement_call((statement,), {})
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@pytest.mark.asyncio
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async def test_legacy_restore_emits_only_scoped_structured_statements():
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missing_table_result = Mock()
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missing_table_result.first.return_value = None
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existing_table_result = Mock()
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existing_table_result.first.return_value = ('knowledge_bases_backup',)
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backup_result = Mock()
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backup_result.keys.return_value = [
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'uuid',
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'name',
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'description',
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'emoji',
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'embedding_model_uuid',
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'top_k',
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'created_at',
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'updated_at',
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]
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now = datetime.now()
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backup_result.fetchall.return_value = [
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('kb-legacy', 'Legacy KB', 'Description', 'U0001f4da', 'embedding-model', 7, now, now)
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]
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execute_async = AsyncMock(
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side_effect=[
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missing_table_result,
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existing_table_result,
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backup_result,
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Mock(),
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Mock(),
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]
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)
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connector = SimpleNamespace(
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require_workspace_context=AsyncMock(return_value=CONTEXT),
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list_knowledge_engines=AsyncMock(return_value=[]),
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rag_on_kb_create=AsyncMock(),
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)
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router = object.__new__(KnowledgeMigrationRouterGroup)
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router.ap = SimpleNamespace(
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workspace_service=SimpleNamespace(
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get_local_execution_binding=AsyncMock(return_value=CONTEXT),
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),
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plugin_connector=connector,
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persistence_mgr=SimpleNamespace(
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db=SimpleNamespace(name='sqlite'),
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execute_async=execute_async,
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),
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rag_mgr=SimpleNamespace(load_knowledge_bases_from_db=AsyncMock()),
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logger=Mock(),
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)
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task_context = SimpleNamespace(trace=Mock())
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await router._execute_rag_migration(CONTEXT, task_context, install_plugin=False)
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statements = [call.args[0] for call in execute_async.await_args_list]
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assert any(isinstance(statement, sqlalchemy.sql.dml.Insert) for statement in statements)
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assert any(isinstance(statement, sqlalchemy.sql.dml.Update) for statement in statements)
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for statement in statements:
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assert not isinstance(statement, sqlalchemy.sql.elements.TextClause)
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_validate_scoped_statement_call((statement,), {})
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connector.rag_on_kb_create.assert_awaited_once_with(
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'langbot-team/LangRAG',
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'kb-legacy',
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{'embedding_model_uuid': 'embedding-model'},
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)
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@pytest.mark.asyncio
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async def test_legacy_restore_accepts_sqlite_string_dates_and_text_json_columns():
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engine = sqlalchemy.ext.asyncio.create_async_engine('sqlite+aiosqlite:///:memory:')
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try:
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async with engine.begin() as connection:
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await connection.exec_driver_sql(
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"""
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CREATE TABLE knowledge_bases_backup (
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uuid TEXT PRIMARY KEY,
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name TEXT,
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description TEXT,
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emoji TEXT,
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embedding_model_uuid TEXT,
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top_k INTEGER,
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created_at DATETIME,
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updated_at DATETIME
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)
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"""
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)
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await connection.exec_driver_sql(
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"""
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CREATE TABLE external_knowledge_bases (
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uuid TEXT PRIMARY KEY,
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name TEXT,
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description TEXT,
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emoji TEXT,
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plugin_author TEXT,
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plugin_name TEXT,
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retriever_config TEXT,
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created_at DATETIME
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)
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"""
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)
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await connection.exec_driver_sql(
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"""
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CREATE TABLE knowledge_bases (
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uuid TEXT PRIMARY KEY,
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workspace_uuid TEXT NOT NULL,
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name TEXT,
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description TEXT,
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emoji TEXT,
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created_at DATETIME,
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updated_at DATETIME,
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knowledge_engine_plugin_id TEXT,
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collection_id TEXT,
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creation_settings TEXT,
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retrieval_settings TEXT
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)
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"""
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)
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await connection.exec_driver_sql(
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'CREATE TABLE workspace_metadata (workspace_uuid TEXT, key TEXT, value TEXT)'
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)
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legacy_timestamp = '2026-07-20 03:00:00.123456'
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await connection.exec_driver_sql(
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"""
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INSERT INTO knowledge_bases_backup
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(uuid, name, description, emoji, embedding_model_uuid, top_k, created_at, updated_at)
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VALUES (?, ?, ?, ?, ?, ?, ?, ?)
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""",
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(
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'kb-internal',
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'Internal',
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'Internal legacy KB',
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'U0001f4da',
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'embedding-model',
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5,
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legacy_timestamp,
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legacy_timestamp,
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),
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)
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await connection.exec_driver_sql(
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"""
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INSERT INTO external_knowledge_bases
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(uuid, name, description, emoji, plugin_author, plugin_name, retriever_config, created_at)
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VALUES (?, ?, ?, ?, ?, ?, ?, ?)
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""",
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(
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'kb-external',
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'External',
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'External legacy KB',
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'U0001f517',
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'langbot-team',
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'DifyDatasetsRetriever',
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json.dumps({'api_base_url': 'https://example.invalid', 'top_k': 8}),
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legacy_timestamp,
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),
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)
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connector = SimpleNamespace(
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require_workspace_context=AsyncMock(return_value=CONTEXT),
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list_knowledge_engines=AsyncMock(return_value=[]),
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rag_on_kb_create=AsyncMock(),
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)
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router = object.__new__(KnowledgeMigrationRouterGroup)
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router.ap = SimpleNamespace(
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workspace_service=SimpleNamespace(
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get_local_execution_binding=AsyncMock(return_value=CONTEXT),
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),
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plugin_connector=connector,
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persistence_mgr=SimpleNamespace(
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db=SimpleNamespace(name='sqlite'),
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execute_async=connection.execute,
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),
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rag_mgr=SimpleNamespace(load_knowledge_bases_from_db=AsyncMock()),
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logger=Mock(),
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)
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await router._execute_rag_migration(
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CONTEXT,
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SimpleNamespace(trace=Mock()),
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install_plugin=False,
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)
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restored = (
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await connection.exec_driver_sql(
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"""
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SELECT uuid, created_at, updated_at, creation_settings, retrieval_settings
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FROM knowledge_bases
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ORDER BY uuid
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"""
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)
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).all()
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assert [row.uuid for row in restored] == ['kb-external', 'kb-internal']
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assert all(row.created_at == legacy_timestamp for row in restored)
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assert all(row.updated_at == legacy_timestamp for row in restored)
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assert json.loads(restored[0].creation_settings)['api_base_url'] == 'https://example.invalid'
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assert json.loads(restored[0].retrieval_settings) == {'top_k': 8}
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assert json.loads(restored[1].creation_settings) == {'embedding_model_uuid': 'embedding-model'}
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assert json.loads(restored[1].retrieval_settings) == {'top_k': 5}
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finally:
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await engine.dispose()
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