2025-08-07 01:37:30 +03:00

7.8 KiB

Raw Blame History

Reports Statistics Feature

Overview

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.

Statistics Displayed

✅ Core Metrics

Total Reports: Overall count of all reports in the system
Day Shift Count: Number of day shift reports
Night Shift Count: Number of night shift reports
Today's Reports: Reports created today
Yesterday's Reports: Reports created yesterday
Average Per Day: Average reports per day over the last 7 days

✅ Additional Insights

Shift Distribution: Percentage breakdown of day vs night shifts
Today vs Yesterday: Comparison showing increase/decrease
Weekly Trend: Average daily report count for trend analysis

User Interface

✅ Stats Layout

┌─────────────────────────────────────────────────────────────┐
│ Quick Statistics                                            │
│ Overview of report activity                                 │
├─────────────────────────────────────────────────────────────┤
│ [125]     [68]      [57]      [8]       [12]      [7.3]    │
│ Total     Day       Night     Today     Yesterday  Avg/Day  │
│ Reports   Shifts    Shifts              (7d)               │
├─────────────────────────────────────────────────────────────┤
│ Shift Distribution: 54% Day, 46% Night                     │
│ Today vs Yesterday: -4        Weekly Trend: 7.3 reports/day│
└─────────────────────────────────────────────────────────────┘

✅ Visual Design

Color-Coded Cards: Each metric has distinct background colors
- Gray: Total reports (neutral)
- Yellow: Day shifts (sun theme)
- Blue: Night shifts (moon theme)
- Green: Today (current/active)
- Orange: Yesterday (recent past)
- Indigo: Average (analytical)
Responsive Grid: Adapts from 2 columns on mobile to 6 on desktop
Clear Typography: Large numbers with descriptive labels
Insights Section: Additional context below main metrics

Technical Implementation

✅ Server-Side Calculations

// Date calculations
const today = new Date();
today.setHours(0, 0, 0, 0);

const yesterday = new Date(today);
yesterday.setDate(yesterday.getDate() - 1);

const sevenDaysAgo = new Date(today);
sevenDaysAgo.setDate(sevenDaysAgo.getDate() - 7);

// Parallel database queries for performance
const stats = await Promise.all([
  prisma.report.count(), // Total reports
  prisma.report.count({ where: { shift: 'day' } }), // Day shifts
  prisma.report.count({ where: { shift: 'night' } }), // Night shifts
  prisma.report.count({ // Today's reports
    where: {
      createdDate: {
        gte: today,
        lt: new Date(today.getTime() + 24 * 60 * 60 * 1000)
      }
    }
  }),
  prisma.report.count({ // Yesterday's reports
    where: {
      createdDate: {
        gte: yesterday,
        lt: today
      }
    }
  }),
  prisma.report.count({ // Last 7 days for average
    where: {
      createdDate: {
        gte: sevenDaysAgo
      }
    }
  })
]);

const averagePerDay = Math.round((last7DaysCount / 7) * 10) / 10;

✅ Performance Optimization

Parallel Queries: All statistics calculated simultaneously
Efficient Counting: Uses count() instead of fetching full records
Date Range Optimization: Precise date boundaries for accurate counts
Single Database Round Trip: All stats fetched together

Business Value

✅ Operational Insights

Activity Monitoring: Track daily report submission patterns
Shift Balance: Monitor day vs night shift coverage
Trend Analysis: Identify increases/decreases in activity
Performance Tracking: Average daily output metrics
Quick Assessment: Instant overview without detailed analysis

✅ Management Benefits

Dashboard View: Key metrics at a glance
Trend Identification: Spot patterns in reporting activity
Resource Planning: Understand shift distribution
Performance Monitoring: Track team productivity
Data-Driven Decisions: Quantified operational insights

Use Cases

Daily Operations

Morning Review: Check yesterday's vs today's activity
Shift Planning: See current day/night distribution
Activity Monitoring: Track if reporting is on track
Trend Spotting: Notice unusual patterns quickly

Management Reporting

Weekly Reviews: Use 7-day average for trend analysis
Shift Analysis: Evaluate day vs night productivity
Performance Metrics: Track overall reporting activity
Resource Allocation: Plan based on activity patterns

Operational Planning

Capacity Planning: Use averages for future planning
Shift Scheduling: Balance based on historical patterns
Performance Targets: Set goals based on current averages
Anomaly Detection: Spot unusual activity levels

Statistics Breakdown

✅ Metric Definitions

Total Reports: All reports ever created in the system
Day/Night Shifts: Count by shift type across all time
Today: Reports with createdDate from 00:00:00 to 23:59:59 today
Yesterday: Reports from 00:00:00 to 23:59:59 yesterday
7-Day Average: Total reports in last 7 days divided by 7, rounded to 1 decimal

✅ Calculated Insights

Shift Distribution: Percentage of day vs night shifts
Daily Comparison: Difference between today and yesterday
Weekly Trend: Average daily reports for trend analysis

Responsive Design

✅ Mobile (2 columns)

[125] [68]
Total Day
[57]  [8]
Night Today
[12]  [7.3]
Yest  Avg

✅ Tablet (3 columns)

[125] [68]  [57]
Total Day   Night
[8]   [12]  [7.3]
Today Yest  Avg

✅ Desktop (6 columns)

[125] [68] [57] [8] [12] [7.3]
Total Day  Night Today Yest Avg

Future Enhancements

Potential Additions

Time-Based Charts: Visual trends over time
Area Breakdown: Statistics by operational area
Employee Metrics: Top contributors and activity levels
Equipment Usage: Statistics by equipment type
Comparative Analysis: Month-over-month comparisons
Export Functionality: Download statistics as reports
Real-Time Updates: Live updating statistics
Custom Date Ranges: User-selectable time periods

Advanced Analytics

Predictive Trends: Forecast future activity levels
Seasonal Patterns: Identify recurring patterns
Performance Benchmarks: Compare against targets
Efficiency Metrics: Reports per hour/shift analysis
Quality Indicators: Completion rates and accuracy metrics

Performance Considerations

✅ Database Optimization

Indexed createdDate column for fast date range queries
Indexed shift column for quick shift-based counts
Efficient COUNT() queries instead of full data retrieval
Parallel query execution for better performance

✅ Caching Opportunities

Statistics could be cached for frequently accessed data
Daily stats could be pre-calculated and stored
Real-time updates vs cached performance trade-offs

The statistics feature provides valuable operational insights and transforms the Reports page into a comprehensive dashboard for monitoring and analyzing report activity patterns."

7.8 KiB Raw Blame History