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

* 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
+97 -1
View File
@@ -1,6 +1,6 @@
'use client';
import React, { Suspense, useState } from 'react';
import React, { Suspense, useState, useMemo } from 'react';
import { useTranslation } from 'react-i18next';
import { Tabs, TabsContent, TabsList, TabsTrigger } from '@/components/ui/tabs';
import { Button } from '@/components/ui/button';
@@ -10,8 +10,11 @@ import MonitoringFilters from './components/filters/MonitoringFilters';
import { ExportDropdown } from './components/ExportDropdown';
import { useMonitoringFilters } from './hooks/useMonitoringFilters';
import { useMonitoringData } from './hooks/useMonitoringData';
import { useFeedbackData } from './hooks/useFeedbackData';
import { MessageDetailsCard } from './components/MessageDetailsCard';
import { MessageContentRenderer } from './components/MessageContentRenderer';
import { FeedbackStatsCards } from './components/FeedbackCard';
import { FeedbackList } from './components/FeedbackList';
import { MessageDetails } from './types/monitoring';
import { httpClient } from '@/app/infra/http/HttpClient';
import { LoadingSpinner, LoadingPage } from '@/components/ui/loading-spinner';
@@ -68,6 +71,64 @@ function MonitoringPageContent() {
useMonitoringFilters();
const { data, loading, refetch } = useMonitoringData(filterState);
// Get time range for feedback data
const feedbackTimeRange = useMemo(() => {
const now = new Date();
let startTime: Date | null = null;
switch (filterState.timeRange) {
case 'lastHour':
startTime = new Date(now.getTime() - 60 * 60 * 1000);
break;
case 'last6Hours':
startTime = new Date(now.getTime() - 6 * 60 * 60 * 1000);
break;
case 'last24Hours':
startTime = new Date(now.getTime() - 24 * 60 * 60 * 1000);
break;
case 'last7Days':
startTime = new Date(now.getTime() - 7 * 24 * 60 * 60 * 1000);
break;
case 'last30Days':
startTime = new Date(now.getTime() - 30 * 24 * 60 * 60 * 1000);
break;
case 'custom':
if (filterState.customDateRange) {
startTime = filterState.customDateRange.from;
}
break;
}
const endTime =
filterState.timeRange === 'custom' && filterState.customDateRange
? filterState.customDateRange.to
: now;
return {
startTime: startTime?.toISOString(),
endTime: endTime.toISOString(),
};
}, [filterState.timeRange, filterState.customDateRange]);
// Feedback data hook
const {
feedback: feedbackList,
stats: feedbackStats,
loading: feedbackLoading,
} = useFeedbackData({
botIds:
filterState.selectedBots.length > 0
? filterState.selectedBots
: undefined,
pipelineIds:
filterState.selectedPipelines.length > 0
? filterState.selectedPipelines
: undefined,
startTime: feedbackTimeRange.startTime,
endTime: feedbackTimeRange.endTime,
limit: 50,
});
const [expandedMessageId, setExpandedMessageId] = useState<string | null>(
null,
);
@@ -249,6 +310,9 @@ function MonitoringPageContent() {
<TabsTrigger value="modelCalls" className="px-6 py-2">
{t('monitoring.tabs.modelCalls')}
</TabsTrigger>
<TabsTrigger value="feedback" className="px-6 py-2">
{t('monitoring.tabs.feedback')}
</TabsTrigger>
<TabsTrigger value="errors" className="px-6 py-2">
{t('monitoring.tabs.errors')}
</TabsTrigger>
@@ -609,6 +673,38 @@ function MonitoringPageContent() {
</div>
</TabsContent>
<TabsContent value="feedback" className="p-6 m-0">
<div>
{loading && (
<div className="py-12 flex justify-center">
<LoadingSpinner text={t('common.loading')} />
</div>
)}
{!loading && (
<>
{/* Feedback Stats Cards */}
<div className="mb-6">
<FeedbackStatsCards
stats={feedbackStats}
loading={feedbackLoading}
/>
</div>
{/* Feedback List */}
<h3 className="text-lg font-semibold text-gray-900 dark:text-white mb-4">
{t('monitoring.feedback.feedbackList')}
</h3>
<FeedbackList
feedback={feedbackList}
loading={feedbackLoading}
onViewMessage={jumpToMessage}
/>
</>
)}
</div>
</TabsContent>
<TabsContent value="errors" className="p-6 m-0">
<div>
{loading && (