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feat: complete development environment setup and code quality improvements

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- Set up pre-commit hooks with husky and lint-staged for automated code quality
- Improved TypeScript type safety by replacing 'any' types with proper generics
- Fixed markdown linting violations (MD030 spacing) across all documentation
- Fixed compound adjective hyphenation in technical documentation
- Fixed invalid JSON union syntax in API documentation examples
- Automated code formatting and linting on commit
- Enhanced error handling with better type constraints
- Configured biome and markdownlint for consistent code style
- All changes verified with successful production build
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Kaj Kowalski
2025-07-13 14:44:05 +02:00
parent 1d4e695e41
commit e2301725a3
54 changed files with 2335 additions and 1863 deletions
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docs/batch-monitoring-dashboard.md
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@ -9,22 +9,25 @@ The Batch Monitoring Dashboard provides real-time visibility into the OpenAI Bat
## Features
### Real-time Monitoring
- **Job Status Tracking**: Monitor batch jobs from creation to completion
- **Queue Management**: View pending, running, and completed batch queues
- **Processing Metrics**: Track throughput, success rates, and error patterns
- **Cost Analysis**: Monitor API costs and savings compared to individual requests
- **Job Status Tracking**: Monitor batch jobs from creation to completion
- **Queue Management**: View pending, running, and completed batch queues
- **Processing Metrics**: Track throughput, success rates, and error patterns
- **Cost Analysis**: Monitor API costs and savings compared to individual requests
### Performance Analytics
- **Batch Efficiency**: Analyze batch size optimization and processing times
- **Success Rates**: Track completion and failure rates across different job types
- **Resource Utilization**: Monitor API quota usage and rate limiting
- **Historical Trends**: View processing patterns over time
- **Batch Efficiency**: Analyze batch size optimization and processing times
- **Success Rates**: Track completion and failure rates across different job types
- **Resource Utilization**: Monitor API quota usage and rate limiting
- **Historical Trends**: View processing patterns over time
### Administrative Controls
- **Manual Intervention**: Pause, resume, or cancel batch operations
- **Priority Management**: Adjust processing priorities for urgent requests
- **Error Handling**: Review and retry failed batch operations
- **Configuration Management**: Adjust batch parameters and thresholds
- **Manual Intervention**: Pause, resume, or cancel batch operations
- **Priority Management**: Adjust processing priorities for urgent requests
- **Error Handling**: Review and retry failed batch operations
- **Configuration Management**: Adjust batch parameters and thresholds
## API Endpoints
@ -132,6 +135,7 @@ const data = await response.json();
The main dashboard component (`components/admin/BatchMonitoringDashboard.tsx`) provides:
#### Key Metrics Cards
```tsx
// Real-time overview cards
<MetricCard
@ -157,6 +161,7 @@ The main dashboard component (`components/admin/BatchMonitoringDashboard.tsx`) p
```
#### Queue Status Visualization
```tsx
// Visual representation of batch job queues
<QueueStatusChart
@ -168,6 +173,7 @@ The main dashboard component (`components/admin/BatchMonitoringDashboard.tsx`) p
```
#### Performance Charts
```tsx
// Processing throughput over time
<ThroughputChart
@ -183,6 +189,7 @@ The main dashboard component (`components/admin/BatchMonitoringDashboard.tsx`) p
```
#### Job Management Table
```tsx
// Detailed job listing with actions
<BatchJobTable
@ -400,6 +407,7 @@ async function configureAlerts(alertConfig) {
### Common Issues
#### High Error Rates
```javascript
// Investigate high error rates
async function investigateErrors() {
@ -424,6 +432,7 @@ async function investigateErrors() {
```
#### Slow Processing
```javascript
// Analyze processing bottlenecks
async function analyzePerformance() {
@ -457,6 +466,7 @@ async function analyzePerformance() {
### Performance Optimization
#### Batch Size Optimization
```javascript
// Analyze optimal batch sizes
async function optimizeBatchSizes() {
@ -497,6 +507,7 @@ async function optimizeBatchSizes() {
## Integration with Existing Systems
### Security Audit Integration
All batch monitoring activities are logged through the security audit system:
```javascript
@ -510,6 +521,7 @@ await securityAuditLogger.logPlatformAdmin(
```
### Rate Limiting Integration
Monitoring API endpoints use the existing rate limiting system:
```javascript
@ -523,9 +535,9 @@ const rateLimitResult = await rateLimiter.check(
## Related Documentation
- [Batch Processing Optimizations](./batch-processing-optimizations.md)
- [Security Monitoring](./security-monitoring.md)
- [Admin Audit Logs API](./admin-audit-logs-api.md)
- [OpenAI Batch API Integration](../lib/batchProcessor.ts)
- [Batch Processing Optimizations](./batch-processing-optimizations.md)
- [Security Monitoring](./security-monitoring.md)
- [Admin Audit Logs API](./admin-audit-logs-api.md)
- [OpenAI Batch API Integration](../lib/batchProcessor.ts)
The batch monitoring dashboard provides comprehensive visibility into the AI processing pipeline, enabling administrators to optimize performance, monitor costs, and ensure reliable operation of the batch processing system.
The batch monitoring dashboard provides comprehensive visibility into the AI processing pipeline, enabling administrators to optimize performance, monitor costs, and ensure reliable operation of the batch processing system.