212 lines
7.8 KiB
Markdown
212 lines
7.8 KiB
Markdown
# Reports Statistics Feature
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## Overview
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Added a comprehensive statistics section to the Reports Management page, providing quick insights and key metrics about report activity. This gives users an at-a-glance view of operational performance and trends.
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## Statistics Displayed
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### ✅ **Core Metrics**
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1. **Total Reports**: Overall count of all reports in the system
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2. **Day Shift Count**: Number of day shift reports
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3. **Night Shift Count**: Number of night shift reports
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4. **Today's Reports**: Reports created today
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5. **Yesterday's Reports**: Reports created yesterday
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6. **Average Per Day**: Average reports per day over the last 7 days
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### ✅ **Additional Insights**
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1. **Shift Distribution**: Percentage breakdown of day vs night shifts
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2. **Today vs Yesterday**: Comparison showing increase/decrease
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3. **Weekly Trend**: Average daily report count for trend analysis
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## User Interface
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### ✅ **Stats Layout**
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```
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┌─────────────────────────────────────────────────────────────┐
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│ Quick Statistics │
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│ Overview of report activity │
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├─────────────────────────────────────────────────────────────┤
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│ [125] [68] [57] [8] [12] [7.3] │
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│ Total Day Night Today Yesterday Avg/Day │
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│ Reports Shifts Shifts (7d) │
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├─────────────────────────────────────────────────────────────┤
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│ Shift Distribution: 54% Day, 46% Night │
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│ Today vs Yesterday: -4 Weekly Trend: 7.3 reports/day│
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└─────────────────────────────────────────────────────────────┘
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```
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### ✅ **Visual Design**
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- **Color-Coded Cards**: Each metric has distinct background colors
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- Gray: Total reports (neutral)
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- Yellow: Day shifts (sun theme)
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- Blue: Night shifts (moon theme)
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- Green: Today (current/active)
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- Orange: Yesterday (recent past)
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- Indigo: Average (analytical)
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- **Responsive Grid**: Adapts from 2 columns on mobile to 6 on desktop
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- **Clear Typography**: Large numbers with descriptive labels
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- **Insights Section**: Additional context below main metrics
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## Technical Implementation
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### ✅ **Server-Side Calculations**
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```typescript
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// Date calculations
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const today = new Date();
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today.setHours(0, 0, 0, 0);
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const yesterday = new Date(today);
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yesterday.setDate(yesterday.getDate() - 1);
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const sevenDaysAgo = new Date(today);
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sevenDaysAgo.setDate(sevenDaysAgo.getDate() - 7);
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// Parallel database queries for performance
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const stats = await Promise.all([
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prisma.report.count(), // Total reports
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prisma.report.count({ where: { shift: 'day' } }), // Day shifts
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prisma.report.count({ where: { shift: 'night' } }), // Night shifts
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prisma.report.count({ // Today's reports
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where: {
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createdDate: {
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gte: today,
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lt: new Date(today.getTime() + 24 * 60 * 60 * 1000)
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}
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}
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}),
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prisma.report.count({ // Yesterday's reports
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where: {
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createdDate: {
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gte: yesterday,
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lt: today
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}
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}
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}),
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prisma.report.count({ // Last 7 days for average
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where: {
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createdDate: {
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gte: sevenDaysAgo
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}
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}
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})
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]);
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const averagePerDay = Math.round((last7DaysCount / 7) * 10) / 10;
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```
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### ✅ **Performance Optimization**
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- **Parallel Queries**: All statistics calculated simultaneously
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- **Efficient Counting**: Uses `count()` instead of fetching full records
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- **Date Range Optimization**: Precise date boundaries for accurate counts
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- **Single Database Round Trip**: All stats fetched together
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## Business Value
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### ✅ **Operational Insights**
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1. **Activity Monitoring**: Track daily report submission patterns
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2. **Shift Balance**: Monitor day vs night shift coverage
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3. **Trend Analysis**: Identify increases/decreases in activity
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4. **Performance Tracking**: Average daily output metrics
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5. **Quick Assessment**: Instant overview without detailed analysis
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### ✅ **Management Benefits**
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1. **Dashboard View**: Key metrics at a glance
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2. **Trend Identification**: Spot patterns in reporting activity
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3. **Resource Planning**: Understand shift distribution
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4. **Performance Monitoring**: Track team productivity
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5. **Data-Driven Decisions**: Quantified operational insights
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## Use Cases
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### **Daily Operations**
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1. **Morning Review**: Check yesterday's vs today's activity
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2. **Shift Planning**: See current day/night distribution
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3. **Activity Monitoring**: Track if reporting is on track
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4. **Trend Spotting**: Notice unusual patterns quickly
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### **Management Reporting**
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1. **Weekly Reviews**: Use 7-day average for trend analysis
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2. **Shift Analysis**: Evaluate day vs night productivity
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3. **Performance Metrics**: Track overall reporting activity
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4. **Resource Allocation**: Plan based on activity patterns
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### **Operational Planning**
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1. **Capacity Planning**: Use averages for future planning
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2. **Shift Scheduling**: Balance based on historical patterns
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3. **Performance Targets**: Set goals based on current averages
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4. **Anomaly Detection**: Spot unusual activity levels
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## Statistics Breakdown
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### ✅ **Metric Definitions**
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- **Total Reports**: All reports ever created in the system
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- **Day/Night Shifts**: Count by shift type across all time
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- **Today**: Reports with createdDate from 00:00:00 to 23:59:59 today
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- **Yesterday**: Reports from 00:00:00 to 23:59:59 yesterday
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- **7-Day Average**: Total reports in last 7 days divided by 7, rounded to 1 decimal
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### ✅ **Calculated Insights**
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- **Shift Distribution**: Percentage of day vs night shifts
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- **Daily Comparison**: Difference between today and yesterday
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- **Weekly Trend**: Average daily reports for trend analysis
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## Responsive Design
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### ✅ **Mobile (2 columns)**
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```
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[125] [68]
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Total Day
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[57] [8]
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Night Today
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[12] [7.3]
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Yest Avg
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```
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### ✅ **Tablet (3 columns)**
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```
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[125] [68] [57]
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Total Day Night
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[8] [12] [7.3]
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Today Yest Avg
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```
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### ✅ **Desktop (6 columns)**
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```
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[125] [68] [57] [8] [12] [7.3]
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Total Day Night Today Yest Avg
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```
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## Future Enhancements
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### **Potential Additions**
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1. **Time-Based Charts**: Visual trends over time
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2. **Area Breakdown**: Statistics by operational area
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3. **Employee Metrics**: Top contributors and activity levels
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4. **Equipment Usage**: Statistics by equipment type
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5. **Comparative Analysis**: Month-over-month comparisons
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6. **Export Functionality**: Download statistics as reports
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7. **Real-Time Updates**: Live updating statistics
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8. **Custom Date Ranges**: User-selectable time periods
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### **Advanced Analytics**
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1. **Predictive Trends**: Forecast future activity levels
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2. **Seasonal Patterns**: Identify recurring patterns
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3. **Performance Benchmarks**: Compare against targets
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4. **Efficiency Metrics**: Reports per hour/shift analysis
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5. **Quality Indicators**: Completion rates and accuracy metrics
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## Performance Considerations
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### ✅ **Database Optimization**
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- Indexed `createdDate` column for fast date range queries
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- Indexed `shift` column for quick shift-based counts
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- Efficient `COUNT()` queries instead of full data retrieval
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- Parallel query execution for better performance
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### ✅ **Caching Opportunities**
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- Statistics could be cached for frequently accessed data
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- Daily stats could be pre-calculated and stored
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- Real-time updates vs cached performance trade-offs
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The statistics feature provides valuable operational insights and transforms the Reports page into a comprehensive dashboard for monitoring and analyzing report activity patterns." |