feat(tenancy): implement workspace isolation

This commit is contained in:
Junyan Qin
2026-07-19 09:58:59 +08:00
parent 9eb292992d
commit c6f826fe2d
271 changed files with 31162 additions and 6106 deletions
+24
View File
@@ -17,6 +17,7 @@ from unittest.mock import AsyncMock, Mock
# this, running a stage test in isolation triggers a circular-import error:
# stage.py → core.app → pipelinemgr → stage.stage_class (not yet bound).
import langbot.pkg.pipeline.pipelinemgr # noqa: F401
from langbot.pkg.api.http.context import ExecutionContext
import langbot_plugin.api.entities.builtin.pipeline.query as pipeline_query
import langbot_plugin.api.entities.builtin.platform.message as platform_message
@@ -40,6 +41,14 @@ class MockApplication:
self.query_pool = self._create_mock_query_pool()
self.instance_config = self._create_mock_instance_config()
self.task_mgr = self._create_mock_task_manager()
self.workspace_service = AsyncMock()
self.workspace_service.get_execution_binding = AsyncMock(
return_value=Mock(
instance_uuid='test-instance',
workspace_uuid='test-workspace',
placement_generation=1,
)
)
# Skill manager is optional; PreProcessor only touches it for the
# local-agent runner. None keeps the skill-binding branch inert.
self.skill_mgr = None
@@ -83,6 +92,7 @@ class MockApplication:
query_pool.cached_queries = {}
query_pool.queries = []
query_pool.condition = AsyncMock()
query_pool.remove_query = AsyncMock(return_value=True)
return query_pool
def _create_mock_instance_config(self):
@@ -191,6 +201,9 @@ def sample_query(sample_message_chain, sample_message_event, mock_adapter):
# Use model_construct to bypass Pydantic validation for test purposes
query = pipeline_query.Query.model_construct(
instance_uuid='test-instance',
workspace_uuid='test-workspace',
placement_generation=1,
query_id='test-query-id',
launcher_type=provider_session.LauncherTypes.PERSON,
launcher_id=12345,
@@ -219,6 +232,17 @@ def sample_query(sample_message_chain, sample_message_event, mock_adapter):
resp_message_chain=None,
current_stage_name=None,
)
object.__setattr__(
query,
'_execution_context',
ExecutionContext(
instance_uuid='test-instance',
workspace_uuid='test-workspace',
placement_generation=1,
bot_uuid='test-bot-uuid',
pipeline_uuid='test-pipeline-uuid',
),
)
return query