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https://github.com/langbot-app/LangBot.git
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feat(tenancy): implement workspace isolation
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@@ -5,8 +5,10 @@ import traceback
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from ..core import app
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from ..core import entities as core_entities
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from ..workspace.errors import WorkspaceError, WorkspaceInvariantError
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import langbot_plugin.api.entities.builtin.pipeline.query as pipeline_query
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from .pool import get_query_execution_context
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class Controller:
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@@ -21,6 +23,52 @@ class Controller:
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self.ap = ap
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self.semaphore = asyncio.Semaphore(self.ap.instance_config.data['concurrency']['pipeline'])
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async def _assert_query_execution_active(
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self,
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query: pipeline_query.Query,
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):
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"""Revalidate a queued query immediately before runtime work starts."""
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execution_context = get_query_execution_context(query)
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binding = await self.ap.workspace_service.get_execution_binding(
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execution_context.workspace_uuid,
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expected_generation=execution_context.placement_generation,
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)
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if binding.instance_uuid != execution_context.instance_uuid:
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raise WorkspaceInvariantError('Queued query instance does not match the active Workspace binding')
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return execution_context
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async def _process_query(self, selected_query: pipeline_query.Query) -> None:
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"""Run one selected query and always release its scheduling slot."""
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try:
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async with self.semaphore:
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execution_context = await self._assert_query_execution_active(selected_query)
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pipeline_uuid = selected_query.pipeline_uuid
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if pipeline_uuid:
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pipeline = await self.ap.pipeline_mgr.get_pipeline_by_uuid(
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execution_context,
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pipeline_uuid,
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)
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if pipeline:
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await pipeline.run(selected_query)
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else:
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self.ap.logger.warning(
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f'Pipeline {pipeline_uuid} not found for query {selected_query.query_id}, query dropped'
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)
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else:
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self.ap.logger.warning(f'No pipeline_uuid for query {selected_query.query_id}, query dropped')
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except WorkspaceError as exc:
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self.ap.logger.info(
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f'Dropped query {selected_query.query_id} because its Workspace execution binding is stale: {exc}'
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)
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finally:
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await self.ap.query_pool.remove_query(selected_query)
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async with self.ap.query_pool:
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(await self.ap.sess_mgr.get_session(selected_query))._semaphore.release()
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self.ap.query_pool.condition.notify_all()
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async def consumer(self):
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"""事件处理循环"""
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try:
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@@ -51,40 +99,18 @@ class Controller:
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continue
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if selected_query:
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async def _process_query(selected_query: pipeline_query.Query):
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async with self.semaphore: # 总并发上限
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# find pipeline
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# Here firstly find the bot, then find the pipeline, in case the bot adapter's config is not the latest one.
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# Like aiocqhttp, once a client is connected, even the adapter was updated and restarted, the existing client connection will not be affected.
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pipeline_uuid = selected_query.pipeline_uuid
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if pipeline_uuid:
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pipeline = await self.ap.pipeline_mgr.get_pipeline_by_uuid(pipeline_uuid)
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if pipeline:
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await pipeline.run(selected_query)
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else:
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self.ap.logger.warning(
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f'Pipeline {pipeline_uuid} not found for query {selected_query.query_id}, query dropped'
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)
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else:
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self.ap.logger.warning(
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f'No pipeline_uuid for query {selected_query.query_id}, query dropped'
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)
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async with self.ap.query_pool:
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(await self.ap.sess_mgr.get_session(selected_query))._semaphore.release()
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# 通知其他协程,有新的请求可以处理了
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self.ap.query_pool.condition.notify_all()
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execution_context = get_query_execution_context(selected_query)
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self.ap.task_mgr.create_task(
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_process_query(selected_query),
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self._process_query(selected_query),
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kind='query',
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name=f'query-{selected_query.query_id}',
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scopes=[
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core_entities.LifecycleControlScope.APPLICATION,
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core_entities.LifecycleControlScope.PLATFORM,
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],
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instance_uuid=execution_context.instance_uuid,
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workspace_uuid=execution_context.workspace_uuid,
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placement_generation=execution_context.placement_generation,
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)
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except Exception as e:
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