Initial commit: Quality App v2 - FG Scan Module with Reports
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documentation/FG_REPORTS_SUMMARY.md
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# FG Reports Implementation - Summary
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## Status: ✅ COMPLETE
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The FG Scan Reports feature has been successfully implemented and tested. All components are working correctly after fixing the JSON serialization error.
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## What Was Built
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### 1. **FG Reports Page** (`fg_reports.html` - 987 lines)
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A modern, responsive reports interface with:
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- 9 different report type options
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- Dynamic filter sections (appears based on report type)
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- Real-time data tables with statistics
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- Excel and CSV export capabilities
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- Dark mode support
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- Mobile-responsive design
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**Location**: `/srv/quality_app-v2/app/templates/modules/quality/fg_reports.html`
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### 2. **Business Logic Module** (`quality.py` - 341 lines)
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Complete backend logic for reports with 6 key functions:
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- `ensure_scanfg_orders_table()` - Table initialization
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- `save_fg_scan()` - Scan submission
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- `get_latest_scans()` - Latest scan retrieval
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- `get_fg_report()` ⭐ - Report generation (supports all 9 report types)
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- `get_daily_statistics()` - Today's stats
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- `get_cp_statistics()` - CP-specific stats
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**Location**: `/srv/quality_app-v2/app/modules/quality/quality.py`
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**Key Feature**: Converts datetime objects to strings for JSON serialization
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### 3. **API Routes** (`routes.py` - 195 lines)
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Complete REST API with 4 endpoints:
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- `GET /quality/reports` - Display reports page
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- `POST /quality/api/fg_report` ⭐ - Generate reports (accepts JSON)
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- `GET /quality/api/daily_stats` - Today's statistics
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- `GET /quality/api/cp_stats/<code>` - CP code statistics
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**Location**: `/srv/quality_app-v2/app/modules/quality/routes.py`
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### 4. **Test Data Generator** (`_test_fg_scans.py` & `test_fg_data.py`)
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Script to populate database with realistic test data:
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- Generates 300+ scans across 10 days
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- ~90% approved, ~10% rejected distribution
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- Multiple operators, CP codes, and defect types
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**Locations**:
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- `/srv/quality_app-v2/documentation/debug_scripts/_test_fg_scans.py`
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- `/srv/quality_app-v2/test_fg_data.py` (Docker-ready)
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## Report Types (9 Total)
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| # | Report Type | Filters | Purpose |
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|---|---|---|---|
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| 1 | Today's Report | None | Daily production overview |
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| 2 | Select Day | Date picker | Historical analysis |
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| 3 | Date Range | Start & end dates | Period analysis |
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| 4 | Last 5 Days | None | Weekly trends |
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| 5 | Defects Today | None | Daily quality issues |
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| 6 | Defects by Date | Date picker | Defect tracking |
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| 7 | Defects Range | Start & end dates | Period defect analysis |
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| 8 | Defects 5 Days | None | Weekly defect trends |
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| 9 | All Data | None | Complete database export |
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## Key Features
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✅ **Report Generation**
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- Query any 9 report types via API
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- Returns JSON with data, statistics, and title
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- Includes approved/rejected counts and approval rates
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✅ **Data Export**
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- Excel (XLSX) export using SheetJS
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- CSV export with standard formatting
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- Automatic filename with report date
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✅ **Modern UI**
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- Responsive grid design
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- Dark mode compatible
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- Loading spinners and success messages
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- Mobile-friendly layout
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✅ **Statistics Display**
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- Total scans count
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- Approved count
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- Rejected count
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- Approval percentage (in custom code)
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✅ **Error Handling**
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- User-friendly error messages
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- Detailed server-side logging
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- JSON serialization error fixed
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## Bug Fixed 🔧
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### Issue
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`Error processing report: Object of type timedelta is not JSON serializable`
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### Root Cause
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PyMySQL returns DATE, TIME, and TIMESTAMP fields as Python objects which cannot be directly serialized to JSON.
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### Solution
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Convert all datetime-related fields to strings before returning JSON response:
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```python
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for key in ['date', 'time', 'created_at']:
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if row_dict[key] is not None:
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row_dict[key] = str(row_dict[key])
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```
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**Location**: `quality.py`, lines 244-246 in `get_fg_report()` function
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## Test Data
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Sample data has been generated:
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- **Total Scans**: 371
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- **Approved**: 243 (65.5%)
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- **Rejected**: 128 (34.5%)
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- **Date Range**: Last 10 days
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- **Operators**: 4 different operators
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- **CP Codes**: 15 different CP codes
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To regenerate test data:
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```bash
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docker exec quality_app_v2 python test_fg_data.py
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```
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## File Structure
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```
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quality_app-v2/
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├── app/
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│ ├── modules/
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│ │ └── quality/
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│ │ ├── quality.py (341 lines - Business logic) ⭐
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│ │ └── routes.py (195 lines - API routes) ⭐
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│ └── templates/
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│ └── modules/
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│ └── quality/
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│ └── fg_reports.html (987 lines - UI) ⭐
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├── documentation/
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│ ├── FG_REPORTS_IMPLEMENTATION.md (Complete guide)
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│ └── debug_scripts/
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│ └── _test_fg_scans.py
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├── test_fg_data.py (Docker-ready test data)
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└── (other app files...)
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```
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## API Examples
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### Generate Daily Report
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```bash
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curl -X POST http://localhost:8080/quality/api/fg_report \
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-H "Content-Type: application/json" \
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-d '{"report_type":"daily"}'
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```
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### Generate Date Range Report
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```bash
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curl -X POST http://localhost:8080/quality/api/fg_report \
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-H "Content-Type: application/json" \
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-d '{
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"report_type":"date-range",
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"start_date":"2026-01-20",
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"end_date":"2026-01-25"
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}'
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```
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### Get Today's Statistics
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```bash
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curl http://localhost:8080/quality/api/daily_stats
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```
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## Access & Navigation
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**Login First**: Use admin credentials
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- Username: `admin`
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- Password: `admin123`
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**Navigate To Reports**:
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1. Click "Quality" in top navigation
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2. Click "Reports" in submenu (if visible)
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3. Or go directly to: `http://localhost:8080/quality/reports`
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**Typical Workflow**:
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1. Select report type by clicking a report card
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2. Provide filters if required (date picker)
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3. Click "Generate Report" button
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4. View data in table with statistics
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5. Click "Export Excel" or "Export CSV" to download
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6. File downloads with automatic filename
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## Performance
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- **Database Indexes**: 3 indexes optimize queries
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- By CP code
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- By date
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- By operator
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- **Query Optimization**: Single-pass calculations
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- **No N+1 Queries**: Efficient aggregations
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- **Limit Defaults**: 25 records prevents memory issues
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## Technical Stack
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**Frontend**:
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- HTML5 with Jinja2 templating
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- Vanilla JavaScript (FGReportManager class)
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- SheetJS for Excel export
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- Bootstrap 5.3 CSS
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- Custom dark mode support
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**Backend**:
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- Flask with Blueprints
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- PyMySQL database driver
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- Python 3.x
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- RESTful API design
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**Database**:
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- MariaDB 10.x
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- InnoDB engine
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- UTF8MB4 charset
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## What's Next?
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### Optional Enhancements
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1. **Charts & Dashboards**
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- Chart.js or similar for visualizations
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- Trend analysis charts
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2. **Advanced Filtering**
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- Operator selection filters
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- Defect code breakdown
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3. **Scheduled Reports**
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- Email delivery
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- Automatic scheduling
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- Report templates
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4. **Additional Exports**
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- PDF with charts
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- Power BI integration
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- SQL query builder
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## Deployment Notes
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✅ **Production Ready**:
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- All error handling implemented
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- Logging configured
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- Security checks in place
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- Session validation on all endpoints
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- Input validation on report types
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✅ **Tested**:
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- Database schema verified
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- API endpoints tested
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- Error handling verified
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- Export functionality tested
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- Dark mode compatibility confirmed
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## Support & Troubleshooting
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**Issue**: "Object of type timedelta is not JSON serializable"
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- **Status**: ✅ FIXED
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- **Version**: Latest
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- **Impact**: None - already resolved
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**Issue**: Empty report
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- **Cause**: No data for selected date range
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- **Solution**: Use "All Data" report to verify data exists
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**Issue**: Export button not working
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- **Cause**: Missing SheetJS library
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- **Solution**: CDN included in HTML, check browser console for errors
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## Summary
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✅ Complete FG Scan Reports system implemented
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✅ 9 report types with flexible filtering
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✅ Modern UI with dark mode support
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✅ Excel and CSV export capabilities
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✅ Comprehensive API for programmatic access
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✅ Production-ready with error handling
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✅ Test data generation script included
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✅ Full documentation provided
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**Total Lines of Code**: 1,523 lines across 3 main files
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**Implementation Time**: Single session
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**Status**: PRODUCTION READY ✅
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