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https://github.com/langbot-app/LangBot.git
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* refactor: pipeline routing rules - add routed_by_rule bypass and diagnostic logging - Add routing rules editor (RoutingRulesEditor component) - Add routed_by_rule bypass logic in response rules - Add diagnostic logging for pipeline routing - Database migration for bot pipeline routing rules - Extract RoutingRulesEditor component from BotForm - Revert log levels to debug * feat: add message_has_element routing rule type Support routing by message element type (Image, Voice, File, Forward, Face, At, AtAll, Quote) with eq/neq operators. * test: add unit tests for pipeline routing rules 20 tests covering _match_operator (eq/neq/contains/not_contains/ starts_with/regex/invalid) and resolve_pipeline_uuid (launcher_type/ launcher_id/message_content/message_has_element/first-match-wins/ skip-invalid/default-operator). * fix(web): add missing 'message_has_element' to routing rule type validation The Zod schema and TypeScript type for PipelineRoutingRule.type were missing the 'message_has_element' variant, causing silent form validation failure when saving routing rules with this type. * feat: add pipeline discard functionality and localization support * feat(web): improve drag-and-drop with DragOverlay, add discard monitoring and pipeline icons - Add DragOverlay for smooth cursor-following drag in routing rules editor - Remove transition to eliminate redundant swap animation on drop - Record discarded messages in monitoring system via _record_discarded_message - Display pipeline name (Workflow icon) and runner name (Play icon) on session monitor messages - Show discard badge on discarded messages in session monitor - Add i18n translations for discarded/userMessage/botMessage * fix: ensure discarded messages appear in session monitor and improve icons - Create/update monitoring session for discarded messages so they show in the bot session monitor (was only inserting message rows, not sessions) - Use human-readable 'Discarded' as pipeline_name instead of '__discard__' - Change runner icon from Play to Bot for better AI Agent semantics * fix: merge discarded messages into same session and remove session-level pipeline name - Use LauncherTypes enum for session_id in discarded messages to match the format used by monitoring_helper (fixes duplicate sessions) - Don't overwrite session pipeline info on discard — a session can have messages from multiple pipelines - Remove pipeline_name from session list and chat header since it's now shown per-message and a session is no longer single-pipeline * fix(web): only show save button on config tab in bot detail page * fix(web): scroll to bottom after messages render in session monitor --------- Co-authored-by: RockChinQ <rockchinq@gmail.com>
98 lines
4.2 KiB
Python
98 lines
4.2 KiB
Python
from __future__ import annotations
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import asyncio
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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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import langbot_plugin.api.entities.builtin.pipeline.query as pipeline_query
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class Controller:
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"""总控制器"""
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ap: app.Application
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semaphore: asyncio.Semaphore = None
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"""请求并发控制信号量"""
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def __init__(self, ap: app.Application):
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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 consumer(self):
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"""事件处理循环"""
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try:
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while True:
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selected_query: pipeline_query.Query = None
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# 取请求
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async with self.ap.query_pool:
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queries: list[pipeline_query.Query] = self.ap.query_pool.queries
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for query in queries:
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session = await self.ap.sess_mgr.get_session(query)
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# Debug logging removed from tight loop to prevent excessive log generation
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# that can cause memory overflow in high-traffic scenarios
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if not session._semaphore.locked():
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selected_query = query
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await session._semaphore.acquire()
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# Only log when actually selecting a query
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self.ap.logger.debug(f'Selected query {query.query_id} for processing')
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break
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if selected_query: # 找到了
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queries.remove(selected_query)
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else: # 没找到 说明:没有请求 或者 所有query对应的session都已达到并发上限
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await self.ap.query_pool.condition.wait()
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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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self.ap.task_mgr.create_task(
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_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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)
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except Exception as e:
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# traceback.print_exc()
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self.ap.logger.error(f'控制器循环出错: {e}')
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self.ap.logger.error(f'Traceback: {traceback.format_exc()}')
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async def run(self):
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"""运行控制器"""
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await self.consumer()
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