Files
LangBot/src/langbot/pkg/pipeline/controller.py
Typer_Body 77a0de5ef0 Feat: bot message routing (#2100)
* 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>
2026-04-03 23:56:58 +08:00

98 lines
4.2 KiB
Python

from __future__ import annotations
import asyncio
import traceback
from ..core import app
from ..core import entities as core_entities
import langbot_plugin.api.entities.builtin.pipeline.query as pipeline_query
class Controller:
"""总控制器"""
ap: app.Application
semaphore: asyncio.Semaphore = None
"""请求并发控制信号量"""
def __init__(self, ap: app.Application):
self.ap = ap
self.semaphore = asyncio.Semaphore(self.ap.instance_config.data['concurrency']['pipeline'])
async def consumer(self):
"""事件处理循环"""
try:
while True:
selected_query: pipeline_query.Query = None
# 取请求
async with self.ap.query_pool:
queries: list[pipeline_query.Query] = self.ap.query_pool.queries
for query in queries:
session = await self.ap.sess_mgr.get_session(query)
# Debug logging removed from tight loop to prevent excessive log generation
# that can cause memory overflow in high-traffic scenarios
if not session._semaphore.locked():
selected_query = query
await session._semaphore.acquire()
# Only log when actually selecting a query
self.ap.logger.debug(f'Selected query {query.query_id} for processing')
break
if selected_query: # 找到了
queries.remove(selected_query)
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
await self.ap.query_pool.condition.wait()
continue
if selected_query:
async def _process_query(selected_query: pipeline_query.Query):
async with self.semaphore: # 总并发上限
# find pipeline
# Here firstly find the bot, then find the pipeline, in case the bot adapter's config is not the latest one.
# Like aiocqhttp, once a client is connected, even the adapter was updated and restarted, the existing client connection will not be affected.
pipeline_uuid = selected_query.pipeline_uuid
if pipeline_uuid:
pipeline = await self.ap.pipeline_mgr.get_pipeline_by_uuid(pipeline_uuid)
if pipeline:
await pipeline.run(selected_query)
else:
self.ap.logger.warning(
f'Pipeline {pipeline_uuid} not found for query {selected_query.query_id}, query dropped'
)
else:
self.ap.logger.warning(
f'No pipeline_uuid for query {selected_query.query_id}, query dropped'
)
async with self.ap.query_pool:
(await self.ap.sess_mgr.get_session(selected_query))._semaphore.release()
# 通知其他协程,有新的请求可以处理了
self.ap.query_pool.condition.notify_all()
self.ap.task_mgr.create_task(
_process_query(selected_query),
kind='query',
name=f'query-{selected_query.query_id}',
scopes=[
core_entities.LifecycleControlScope.APPLICATION,
core_entities.LifecycleControlScope.PLATFORM,
],
)
except Exception as e:
# traceback.print_exc()
self.ap.logger.error(f'控制器循环出错: {e}')
self.ap.logger.error(f'Traceback: {traceback.format_exc()}')
async def run(self):
"""运行控制器"""
await self.consumer()