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https://github.com/QwenLM/qwen-code.git
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feat(insight): remove Token Usage and Achievements from report
Removes Token Usage metrics and Achievements section from the generated insight report. - Removes calculation logic in DataProcessor - Removes types in StaticInsightTypes - Removes UI sections in insight-app.js
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4 changed files with 65 additions and 242 deletions
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@ -12,8 +12,6 @@ import type { Config, ChatRecord } from '@qwen-code/qwen-code-core';
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import type {
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InsightData,
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HeatMapData,
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TokenUsageData,
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AchievementData,
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StreakData,
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SessionFacets,
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} from '../types/StaticInsightTypes.js';
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@ -260,109 +258,6 @@ export class DataProcessor {
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};
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}
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// Calculate achievements based on user behavior
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private calculateAchievements(
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activeHours: { [hour: number]: number },
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heatmap: HeatMapData,
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_tokenUsage: TokenUsageData,
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): AchievementData[] {
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const achievements: AchievementData[] = [];
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// Total activities
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const totalActivities = Object.values(heatmap).reduce(
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(sum, count) => sum + count,
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0,
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);
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// Total sessions
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const totalSessions = Object.keys(heatmap).length;
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// Calculate percentage of activity per hour
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const totalHourlyActivity = Object.values(activeHours).reduce(
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(sum, count) => sum + count,
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0,
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);
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if (totalHourlyActivity > 0) {
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// Midnight debugger: 20% of sessions happen between 12AM-5AM
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const midnightActivity =
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(activeHours[0] || 0) +
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(activeHours[1] || 0) +
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(activeHours[2] || 0) +
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(activeHours[3] || 0) +
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(activeHours[4] || 0) +
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(activeHours[5] || 0);
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if (midnightActivity / totalHourlyActivity >= 0.2) {
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achievements.push({
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id: 'midnight-debugger',
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name: 'Midnight Debugger',
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description: '20% of your sessions happen between 12AM-5AM',
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});
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}
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// Morning coder: 20% of sessions happen between 6AM-9AM
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const morningActivity =
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(activeHours[6] || 0) +
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(activeHours[7] || 0) +
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(activeHours[8] || 0) +
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(activeHours[9] || 0);
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if (morningActivity / totalHourlyActivity >= 0.2) {
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achievements.push({
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id: 'morning-coder',
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name: 'Morning Coder',
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description: '20% of your sessions happen between 6AM-9AM',
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});
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}
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}
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// Patient king: average conversation length >= 10 exchanges
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if (totalSessions > 0) {
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const avgExchanges = totalActivities / totalSessions;
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if (avgExchanges >= 10) {
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achievements.push({
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id: 'patient-king',
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name: 'Patient King',
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description: 'Your average conversation length is 10+ exchanges',
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});
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}
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}
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// Quick finisher: 70% of sessions have <= 2 exchanges
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let quickSessions = 0;
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// Since we don't have per-session exchange counts easily available,
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// we'll estimate based on the distribution of activities
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if (totalSessions > 0) {
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// This is a simplified calculation - in a real implementation,
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// we'd need to count exchanges per session
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const avgPerSession = totalActivities / totalSessions;
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if (avgPerSession <= 2) {
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// Estimate based on low average
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quickSessions = Math.floor(totalSessions * 0.7);
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}
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if (quickSessions / totalSessions >= 0.7) {
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achievements.push({
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id: 'quick-finisher',
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name: 'Quick Finisher',
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description: '70% of your sessions end in 2 exchanges or fewer',
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});
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}
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}
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// Explorer: for users with insufficient data or default
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if (achievements.length === 0) {
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achievements.push({
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id: 'explorer',
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name: 'Explorer',
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description: 'Getting started with Qwen Code',
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});
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}
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return achievements;
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}
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// Process chat files from all projects in the base directory and generate insights
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async generateInsights(
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baseDir: string,
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@ -843,7 +738,6 @@ None captured`;
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): Promise<Omit<InsightData, 'facets' | 'qualitative'>> {
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// Initialize data structures
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const heatmap: HeatMapData = {};
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const tokenUsage: TokenUsageData = {};
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const activeHours: { [hour: number]: number } = {};
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const sessionStartTimes: { [sessionId: string]: Date } = {};
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const sessionEndTimes: { [sessionId: string]: Date } = {};
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@ -869,21 +763,6 @@ None captured`;
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// Update active hours
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activeHours[hour] = (activeHours[hour] || 0) + 1;
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// Update token usage
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if (record.usageMetadata) {
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const usage = tokenUsage[dateKey] || {
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input: 0,
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output: 0,
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total: 0,
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};
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usage.input += record.usageMetadata.promptTokenCount || 0;
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usage.output += record.usageMetadata.candidatesTokenCount || 0;
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usage.total += record.usageMetadata.totalTokenCount || 0;
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tokenUsage[dateKey] = usage;
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}
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// Track session times
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if (!sessionStartTimes[record.sessionId]) {
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sessionStartTimes[record.sessionId] = timestamp;
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@ -973,23 +852,14 @@ None captured`;
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.sort((a, b) => b[1] - a[1])
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.slice(0, 10);
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// Calculate achievements
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const achievements = this.calculateAchievements(
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activeHours,
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heatmap,
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tokenUsage,
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);
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return {
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heatmap,
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tokenUsage,
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currentStreak: streakData.currentStreak,
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longestStreak: streakData.longestStreak,
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longestWorkDate,
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longestWorkDuration,
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activeHours,
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latestActiveTime,
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achievements,
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totalSessions,
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totalMessages,
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totalHours,
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