xinyin025/LangBot
1
0
Fork 0
mirror of https://github.com/langbot-app/LangBot.git synced 2026-06-13 01:06:03 +00:00
Code Issues Packages Projects Releases Wiki Activity

feat(wecom): add user feedback support for WeChat Work AI Bot (#2078)

Browse Source 
* feat(wecom): add user feedback support for WeChat Work AI Bot

This commit implements user feedback functionality (like/dislike) for
WeChat Work AI Bot conversations, including:

Backend changes:
- Add feedback_id and stream_id fields to WecomBotEvent
- Implement feedback event handling in WecomBotClient (api.py)
- Add StreamSessionManager._feedback_index for feedback_id lookup
- Add on_feedback decorator for custom feedback handlers
- Create MonitoringFeedback entity for database persistence
- Add dbm025 migration for monitoring_feedback table
- Implement FeedbackMonitor helper class
- Update all platform adapters with ap parameter support
- Update botmgr to pass bot_info for monitoring context

Frontend changes:
- Add FeedbackCard and FeedbackList components
- Add useFeedbackData hook for feedback data fetching
- Add feedback tab to monitoring page
- Add feedback types and interfaces
- Add i18n translations (zh-Hans, en-US)

Other changes:
- Update Dockerfile with Chinese mirror for faster builds
- Update docker-compose.yaml with network configuration
- Update .gitignore for docker data and backup files

Note: Known issues that need future improvement:
- feedback_type=3 (cancel) is recorded but not properly handled
- Duplicate feedback records are not deduplicated

* chore: remove unnecessary migration for new table will be created automatically

* chore: ruff format

* chore: prettier

* feat: add feedback handling support across multiple platform adapters

* fix(web): remove unused imports and variables in monitoring module

---------

Co-authored-by: 6mvp6 <13727783693@163.com>
Co-authored-by: Junyan Qin <rockchinq@gmail.com>
This commit is contained in:
6mvp6
2026-03-30 20:23:52 +08:00
committed by GitHub
parent 921d12f596
commit 6e37aae636
18 changed files with 4721 additions and 1110 deletions
Download Patch File Download Diff File Expand all files Collapse all files

23
src/langbot/pkg/entity/persistence/monitoring.py
View File

@@ -106,3 +106,26 @@ class MonitoringEmbeddingCall(Base):
session_id = sqlalchemy.Column(sqlalchemy.String(255), nullable=True, index=True)
message_id = sqlalchemy.Column(sqlalchemy.String(255), nullable=True, index=True)
call_type = sqlalchemy.Column(sqlalchemy.String(50), nullable=True) # embedding, retrieve
class MonitoringFeedback(Base):
"""User feedback records (like/dislike) from AI Bot conversations"""
__tablename__ = 'monitoring_feedback'
id = sqlalchemy.Column(sqlalchemy.String(255), primary_key=True)
timestamp = sqlalchemy.Column(sqlalchemy.DateTime, nullable=False, index=True)
feedback_id = sqlalchemy.Column(sqlalchemy.String(255), nullable=False, unique=True, index=True)
feedback_type = sqlalchemy.Column(sqlalchemy.Integer, nullable=False) # 1=like, 2=dislike
feedback_content = sqlalchemy.Column(sqlalchemy.Text, nullable=True) # User feedback text
inaccurate_reasons = sqlalchemy.Column(sqlalchemy.Text, nullable=True) # JSON list of inaccurate reasons
# Context fields
bot_id = sqlalchemy.Column(sqlalchemy.String(255), nullable=True, index=True)
bot_name = sqlalchemy.Column(sqlalchemy.String(255), nullable=True)
pipeline_id = sqlalchemy.Column(sqlalchemy.String(255), nullable=True, index=True)
pipeline_name = sqlalchemy.Column(sqlalchemy.String(255), nullable=True)
session_id = sqlalchemy.Column(sqlalchemy.String(255), nullable=True, index=True)
message_id = sqlalchemy.Column(sqlalchemy.String(255), nullable=True, index=True)
stream_id = sqlalchemy.Column(sqlalchemy.String(255), nullable=True, index=True)
user_id = sqlalchemy.Column(sqlalchemy.String(255), nullable=True)
platform = sqlalchemy.Column(sqlalchemy.String(255), nullable=True) # e.g., wecom