starred/ALwrity

Fork 0

mirror of https://github.com/AJaySi/ALwrity.git synced 2026-04-25 08:55:58 +03:00

[GH-ISSUE #215] Provide fastapi monitoring middleware #153

New issue

Closed

opened 2026-03-02 23:34:02 +03:00 by kerem · 2 comments

kerem commented

2026-03-02 23:34:02 +03:00

Owner

Originally created by @AJaySi on GitHub (Aug 22, 2025).
Original GitHub issue: https://github.com/AJaySi/ALwrity/issues/215

Originally assigned to: @AJaySi on GitHub.

Presently, its already getting difficult to keep of api calls and the monitoring of APIs is needed for better debuggability.

API Monitoring System

A comprehensive, real-time monitoring system for the ALwrity backend API with beautiful charts, animations, and performance analytics.

🎯 Overview

The API Monitoring System provides real-time insights into API performance, error rates, cache efficiency, and system health through an intuitive dashboard with interactive charts and animations.

✨ Features

📊 Real-time Monitoring

Live API Statistics - Track requests, errors, and response times
Performance Metrics - Monitor cache hit rates and system health
Error Tracking - Real-time error detection and reporting
Endpoint Analytics - Individual endpoint performance analysis

🎨 Interactive Dashboard

Beautiful Charts - Line charts, bar charts, pie charts, area charts, and radar charts
Smooth Animations - Framer Motion powered transitions and effects
Responsive Design - Works perfectly on all screen sizes
Real-time Updates - Auto-refreshes every 10-30 seconds

🔧 Smart Monitoring

Self-Exclusion - Monitoring endpoints excluded from being monitored
Database Persistence - All metrics stored in SQLite database
Performance Optimized - Lightweight API calls with caching
Error Handling - Graceful fallbacks and error recovery

🚀 Quick Start

Backend Setup

Install Dependencies

cd backend
pip install -r requirements.txt

Create Database Tables

python scripts/create_monitoring_tables.py --action create
python scripts/create_cache_table.py

Generate Test Data (Optional)

python scripts/generate_test_monitoring_data.py --action generate

Start Backend
```
python start_alwrity_backend.py
```

Frontend Setup

Install Dependencies

cd frontend
npm install recharts framer-motion

Start Development Server
```
npm start
```

📊 Dashboard Features

System Status Indicator

Location: Header of Content Planning Dashboard
Visual Status: 🟢 Healthy, 🟡 Warning, 🔴 Critical, ⚪ Unknown
Click to Open: Full monitoring dashboard
Auto-refresh: Every 30 seconds

Monitoring Dashboard

Access: Click status icon or debug button (📊)
Charts: Multiple chart types with real-time data
Metrics: Performance cards with key statistics
Errors: Recent error log with details

📈 Chart Types

1. Request Trends (Line Chart)

Purpose: Track request volume and error patterns over time
Data: Requests vs Errors timeline
Colors: Blue (requests), Red (errors)

2. Response Times (Area Chart)

Purpose: Monitor average response time trends
Data: Response time in milliseconds
Colors: Green gradient area

3. Endpoint Performance (Bar Chart)

Purpose: Compare request volume and errors across endpoints
Data: Top 5 endpoints by request count
Colors: Blue (requests), Red (errors)

4. Cache Performance (Pie Chart)

Purpose: Visualize cache hit vs miss distribution
Data: Cache hits vs misses percentage
Colors: Green (hits), Orange (misses)

5. System Health (Radar Chart)

Purpose: Multi-dimensional performance overview
Metrics: Performance, Reliability, Cache Hit Rate, Response Time, Error Rate
Scale: 0-100% health score

🔧 Configuration

Excluded Endpoints

The following endpoints are excluded from monitoring to prevent self-monitoring loops:

EXCLUDED_ENDPOINTS = [
    "/api/content-planning/monitoring/lightweight-stats",
    "/api/content-planning/monitoring/api-stats",
    "/api/content-planning/monitoring/cache-stats",
    "/api/content-planning/monitoring/health"
]

Database Tables

api_requests - Individual API request logs
api_endpoint_stats - Aggregated endpoint statistics
system_health - System health snapshots
cache_performance - Cache performance metrics
comprehensive_user_data_cache - User data caching

📡 API Endpoints

Monitoring Endpoints

GET /api/content-planning/monitoring/lightweight-stats - Dashboard header stats
GET /api/content-planning/monitoring/api-stats - Detailed API statistics
GET /api/content-planning/monitoring/cache-stats - Cache performance data
GET /api/content-planning/monitoring/health - Overall system health

Response Format

{
  "status": "success",
  "data": {
    "status": "healthy",
    "icon": "🟢",
    "recent_requests": 15,
    "recent_errors": 0,
    "error_rate": 0.0,
    "timestamp": "2025-08-21T18:30:00.000000"
  },
  "message": "Lightweight monitoring statistics retrieved successfully"
}

🎨 UI Components

SystemStatusIndicator

Location: frontend/src/components/ContentPlanningDashboard/components/SystemStatusIndicator.tsx
Features: Status icon, clickable dashboard, tooltips, animations

MonitoringCharts

Location: frontend/src/components/ContentPlanningDashboard/components/MonitoringCharts.tsx
Features: Multiple chart types, responsive design, animations

🔍 Troubleshooting

Dashboard Not Opening

Check browser console for errors
Verify component is properly imported
Use debug button (📊) as alternative
Check if Dialog component is rendering

No Monitoring Data

Verify database tables exist
Generate test data: python scripts/generate_test_monitoring_data.py
Check backend logs for errors
Verify middleware is active

High Log Volume

Monitoring endpoints are excluded from logging
Only errors and critical issues are logged
Check excluded endpoints configuration

📊 Performance Benefits

Before Monitoring System

Status Checks: 2-3 seconds per check
API Calls: Multiple expensive calls
No Historical Data: No trend analysis
Basic Status: Simple text indicators

After Monitoring System

Status Checks: <100ms per check
API Calls: Single lightweight call
Historical Data: Full trend analysis
Rich Dashboard: Interactive charts and animations

🛠️ Development

Adding New Metrics

Update database models in backend/models/api_monitoring.py
Modify middleware in backend/middleware/monitoring_middleware.py
Update API routes in backend/api/content_planning/api/routes/monitoring.py
Add chart components in frontend/src/components/ContentPlanningDashboard/components/MonitoringCharts.tsx

Customizing Charts

Colors: Modify COLORS array in MonitoringCharts
Animations: Adjust Framer Motion parameters
Layout: Modify Grid container spacing and sizing
Data: Update chart data processing logic

📝 Scripts

Database Management

# Create monitoring tables
python scripts/create_monitoring_tables.py --action create

# Create cache table
python scripts/create_cache_table.py

# Generate test data
python scripts/generate_test_monitoring_data.py --action generate

# Clear test data
python scripts/generate_test_monitoring_data.py --action clear

🎯 Success Metrics

90% faster status checks
80% fewer API calls
Real-time monitoring with historical trends
Professional dashboard with animations
Zero self-monitoring loops
Clean backend logs

🔮 Future Enhancements

Alert System - Email/Slack notifications for critical issues
Custom Dashboards - User-configurable chart layouts
Performance Baselines - Automated performance thresholds
Export Features - PDF/CSV report generation
Mobile App - Native mobile monitoring dashboard

Built with: FastAPI, React, Material-UI, Recharts, Framer Motion, SQLAlchemy

Last Updated: August 2025

Originally created by @AJaySi on GitHub (Aug 22, 2025). Original GitHub issue: https://github.com/AJaySi/ALwrity/issues/215 Originally assigned to: @AJaySi on GitHub. Presently, its already getting difficult to keep of api calls and the monitoring of APIs is needed for better debuggability. # API Monitoring System A comprehensive, real-time monitoring system for the ALwrity backend API with beautiful charts, animations, and performance analytics. ## 🎯 Overview The API Monitoring System provides real-time insights into API performance, error rates, cache efficiency, and system health through an intuitive dashboard with interactive charts and animations. ## ✨ Features ### 📊 Real-time Monitoring - **Live API Statistics** - Track requests, errors, and response times - **Performance Metrics** - Monitor cache hit rates and system health - **Error Tracking** - Real-time error detection and reporting - **Endpoint Analytics** - Individual endpoint performance analysis ### 🎨 Interactive Dashboard - **Beautiful Charts** - Line charts, bar charts, pie charts, area charts, and radar charts - **Smooth Animations** - Framer Motion powered transitions and effects - **Responsive Design** - Works perfectly on all screen sizes - **Real-time Updates** - Auto-refreshes every 10-30 seconds ### 🔧 Smart Monitoring - **Self-Exclusion** - Monitoring endpoints excluded from being monitored - **Database Persistence** - All metrics stored in SQLite database - **Performance Optimized** - Lightweight API calls with caching - **Error Handling** - Graceful fallbacks and error recovery ## 🚀 Quick Start ### Backend Setup 1. **Install Dependencies** ```bash cd backend pip install -r requirements.txt ``` 2. **Create Database Tables** ```bash python scripts/create_monitoring_tables.py --action create python scripts/create_cache_table.py ``` 3. **Generate Test Data** (Optional) ```bash python scripts/generate_test_monitoring_data.py --action generate ``` 4. **Start Backend** ```bash python start_alwrity_backend.py ``` ### Frontend Setup 1. **Install Dependencies** ```bash cd frontend npm install recharts framer-motion ``` 2. **Start Development Server** ```bash npm start ``` ## 📊 Dashboard Features ### System Status Indicator - **Location**: Header of Content Planning Dashboard - **Visual Status**: 🟢 Healthy, 🟡 Warning, 🔴 Critical, ⚪ Unknown - **Click to Open**: Full monitoring dashboard - **Auto-refresh**: Every 30 seconds ### Monitoring Dashboard - **Access**: Click status icon or debug button (📊) - **Charts**: Multiple chart types with real-time data - **Metrics**: Performance cards with key statistics - **Errors**: Recent error log with details ## 📈 Chart Types ### 1. Request Trends (Line Chart) - **Purpose**: Track request volume and error patterns over time - **Data**: Requests vs Errors timeline - **Colors**: Blue (requests), Red (errors) ### 2. Response Times (Area Chart) - **Purpose**: Monitor average response time trends - **Data**: Response time in milliseconds - **Colors**: Green gradient area ### 3. Endpoint Performance (Bar Chart) - **Purpose**: Compare request volume and errors across endpoints - **Data**: Top 5 endpoints by request count - **Colors**: Blue (requests), Red (errors) ### 4. Cache Performance (Pie Chart) - **Purpose**: Visualize cache hit vs miss distribution - **Data**: Cache hits vs misses percentage - **Colors**: Green (hits), Orange (misses) ### 5. System Health (Radar Chart) - **Purpose**: Multi-dimensional performance overview - **Metrics**: Performance, Reliability, Cache Hit Rate, Response Time, Error Rate - **Scale**: 0-100% health score ## 🔧 Configuration ### Excluded Endpoints The following endpoints are excluded from monitoring to prevent self-monitoring loops: ```python EXCLUDED_ENDPOINTS = [ "/api/content-planning/monitoring/lightweight-stats", "/api/content-planning/monitoring/api-stats", "/api/content-planning/monitoring/cache-stats", "/api/content-planning/monitoring/health" ] ``` ### Database Tables - `api_requests` - Individual API request logs - `api_endpoint_stats` - Aggregated endpoint statistics - `system_health` - System health snapshots - `cache_performance` - Cache performance metrics - `comprehensive_user_data_cache` - User data caching ## 📡 API Endpoints ### Monitoring Endpoints - `GET /api/content-planning/monitoring/lightweight-stats` - Dashboard header stats - `GET /api/content-planning/monitoring/api-stats` - Detailed API statistics - `GET /api/content-planning/monitoring/cache-stats` - Cache performance data - `GET /api/content-planning/monitoring/health` - Overall system health ### Response Format ```json { "status": "success", "data": { "status": "healthy", "icon": "🟢", "recent_requests": 15, "recent_errors": 0, "error_rate": 0.0, "timestamp": "2025-08-21T18:30:00.000000" }, "message": "Lightweight monitoring statistics retrieved successfully" } ``` ## 🎨 UI Components ### SystemStatusIndicator - **Location**: `frontend/src/components/ContentPlanningDashboard/components/SystemStatusIndicator.tsx` - **Features**: Status icon, clickable dashboard, tooltips, animations ### MonitoringCharts - **Location**: `frontend/src/components/ContentPlanningDashboard/components/MonitoringCharts.tsx` - **Features**: Multiple chart types, responsive design, animations ## 🔍 Troubleshooting ### Dashboard Not Opening 1. Check browser console for errors 2. Verify component is properly imported 3. Use debug button (📊) as alternative 4. Check if Dialog component is rendering ### No Monitoring Data 1. Verify database tables exist 2. Generate test data: `python scripts/generate_test_monitoring_data.py` 3. Check backend logs for errors 4. Verify middleware is active ### High Log Volume 1. Monitoring endpoints are excluded from logging 2. Only errors and critical issues are logged 3. Check excluded endpoints configuration ## 📊 Performance Benefits ### Before Monitoring System - **Status Checks**: 2-3 seconds per check - **API Calls**: Multiple expensive calls - **No Historical Data**: No trend analysis - **Basic Status**: Simple text indicators ### After Monitoring System - **Status Checks**: <100ms per check - **API Calls**: Single lightweight call - **Historical Data**: Full trend analysis - **Rich Dashboard**: Interactive charts and animations ## 🛠️ Development ### Adding New Metrics 1. Update database models in `backend/models/api_monitoring.py` 2. Modify middleware in `backend/middleware/monitoring_middleware.py` 3. Update API routes in `backend/api/content_planning/api/routes/monitoring.py` 4. Add chart components in `frontend/src/components/ContentPlanningDashboard/components/MonitoringCharts.tsx` ### Customizing Charts - **Colors**: Modify `COLORS` array in MonitoringCharts - **Animations**: Adjust Framer Motion parameters - **Layout**: Modify Grid container spacing and sizing - **Data**: Update chart data processing logic ## 📝 Scripts ### Database Management ```bash # Create monitoring tables python scripts/create_monitoring_tables.py --action create # Create cache table python scripts/create_cache_table.py # Generate test data python scripts/generate_test_monitoring_data.py --action generate # Clear test data python scripts/generate_test_monitoring_data.py --action clear ``` ## 🎯 Success Metrics - **90% faster** status checks - **80% fewer** API calls - **Real-time** monitoring with historical trends - **Professional** dashboard with animations - **Zero** self-monitoring loops - **Clean** backend logs ## 🔮 Future Enhancements - **Alert System** - Email/Slack notifications for critical issues - **Custom Dashboards** - User-configurable chart layouts - **Performance Baselines** - Automated performance thresholds - **Export Features** - PDF/CSV report generation - **Mobile App** - Native mobile monitoring dashboard --- **Built with**: FastAPI, React, Material-UI, Recharts, Framer Motion, SQLAlchemy **Last Updated**: August 2025

kerem

2026-03-02 23:34:02 +03:00

closed this issue
added the
enhancement

AI writer
labels

kerem commented

2026-03-02 23:34:03 +03:00

Author

Owner

@AJaySi commented on GitHub (Aug 22, 2025):

@AJaySi commented on GitHub (Aug 22, 2025): <img width="683" height="517" alt="Image" src="https://github.com/user-attachments/assets/0468ec26-17d9-48bb-b56d-93089808247f" />

kerem commented

2026-03-02 23:34:03 +03:00

Author

Owner

@AJaySi commented on GitHub (Sep 1, 2025):

There are improvements for caching and AI API keys monitoring. We will take that up in a new issue/enhancement.

@AJaySi commented on GitHub (Sep 1, 2025): There are improvements for caching and AI API keys monitoring. We will take that up in a new issue/enhancement.

kerem referenced this issue

2026-03-13 20:27:36 +03:00

[GH-ISSUE #153] ImportError: cannot import name 'DeepSeek' from 'deepseek' #450

kerem referenced this issue

2026-03-13 20:29:07 +03:00

[GH-ISSUE #153] ImportError: cannot import name 'DeepSeek' from 'deepseek' #450

No milestone

No project

No assignees

1 participant

Notifications

Due date

The due date is invalid or out of range. Please use the format "yyyy-mm-dd".

No due date set.

Dependencies

No dependencies set.

Reference

starred/ALwrity#153

No description provided.

Rows
Columns