πŸš€Enhanced JAEGIS Bulk Upload Automation Guide

πŸ“‹ Overview

The Enhanced Bulk Upload Automation script is a production-ready solution for uploading your 96,715+ file JAEGIS workspace to GitHub with comprehensive error logging, diagnostics, and recovery capabilities.

🎯 Key Enhancements

πŸ” Comprehensive Error Logging

  • Detailed error categorization (GitHub API, network, filesystem, authentication, rate limiting)

  • Structured error reporting with error codes, timestamps, and context

  • Retry attempt tracking with exponential backoff details

  • HTTP response analysis with specific GitHub API error messages

  • Rate limiting monitoring with recovery actions

πŸ“Š Real-Time Information Display

  • Live progress dashboard with current batch, success/failure rates, and ETA

  • File-level error reporting with specific failure reasons

  • Phase-by-phase completion status with time estimates

  • Network performance metrics (upload speed, latency, throughput)

  • System resource monitoring (CPU, memory, disk I/O, network I/O)

πŸ›‘οΈ Enhanced Robustness

  • File-level checkpoint system with granular progress tracking

  • Intelligent retry strategies with category-specific backoff

  • Network connectivity monitoring and automatic reconnection

  • Adaptive rate limiting with GitHub API limit detection

  • Graceful handling of large files, binary files, and encoding issues

🎨 Professional Output

  • Color-coded console output for different message types

  • Structured JSON reports for programmatic analysis

  • Human-readable summaries with actionable recommendations

  • Export capabilities for error logs and progress reports

πŸ›  Installation

1. Install Dependencies

2. Set Environment Variables

πŸš€ Execution

Basic Execution

With Custom Configuration

Dry Run Mode

πŸ“Š Real-Time Dashboard

The enhanced script provides a live dashboard showing:

πŸ” Error Analysis & Diagnostics

Error Categories

The system categorizes errors into:

  1. GitHub API Errors (HTTP 4xx/5xx responses)

  2. Network Issues (timeouts, connection failures)

  3. Filesystem Errors (permissions, disk space)

  4. Authentication Failures (invalid tokens)

  5. Rate Limiting (API quota exceeded)

  6. Encoding Issues (Unicode, Base64 problems)

  7. Validation Errors (file size, type restrictions)

  8. System Errors (unexpected exceptions)

Intelligent Retry Logic

  • Category-specific delays: Rate limits get longer delays than network errors

  • Exponential backoff: Progressive delay increases with each retry

  • Jitter addition: Prevents thundering herd problems

  • Success tracking: Monitors retry effectiveness

Network Diagnostics

  • Connectivity tests: DNS resolution, TCP connection, HTTP response

  • Latency measurement: Multi-sample latency analysis

  • Throughput monitoring: Real-time upload speed tracking

  • Rate limit tracking: GitHub API quota monitoring

πŸ“ Output Files

Log Files (in logs/ directory)

  • bulk_upload_YYYYMMDD_HHMMSS.log - Complete operation log

  • errors_YYYYMMDD_HHMMSS.log - Error-only log for analysis

Checkpoint Files (in checkpoints/ directory)

  • checkpoint_YYYYMMDD_HHMMSS.json - Progress checkpoints with file-level status

Result Files

  • enhanced_bulk_upload_results_YYYYMMDD_HHMMSS.json - Comprehensive results

  • error_report_YYYYMMDD_HHMMSS.json - Detailed error analysis

πŸ”§ Configuration Options

Performance Tuning

Diagnostic Levels

🚨 Troubleshooting High Failure Rates

Common Issues & Solutions

70%+ Failure Rate (Your Current Issue)

Likely Causes:

  • Invalid or expired GitHub token

  • Repository permission issues

  • Network connectivity problems

  • Rate limiting without proper handling

Diagnostic Steps:

  1. Check token validity:

  2. Verify repository access:

  3. Test network connectivity:

  4. Check rate limits:

Authentication Errors (HTTP 401)

  • Verify GitHub token is valid and not expired

  • Check token has repository write permissions

  • Ensure token is properly set in environment

Rate Limiting (HTTP 403)

  • Increase RATE_LIMIT_DELAY to 2.0 or higher

  • Reduce MAX_CONCURRENT to 2 or 3

  • Monitor rate limit headers in logs

File Already Exists (HTTP 409)

  • This is often normal for resume operations

  • Check if files are actually being uploaded to GitHub

  • Review checkpoint files for duplicate processing

πŸ“ˆ Performance Optimization

For Maximum Speed

For Maximum Reliability

For Troubleshooting

🎯 Expected Performance

Optimized Performance Targets

  • Success Rate: >95% (vs current 30%)

  • Upload Speed: 50-100 files/minute

  • Error Recovery: <3 retries per file

  • Network Efficiency: >80% successful requests

  • System Resources: <20% CPU, <500MB RAM

Diagnostic Capabilities

  • Real-time monitoring of all metrics

  • Automatic error categorization and analysis

  • Intelligent retry strategies based on error type

  • Comprehensive reporting with actionable recommendations

πŸŽ‰ Ready to Diagnose!

The enhanced script will help you:

  1. πŸ” Identify the root cause of your 70% failure rate

  2. πŸ“Š Monitor performance in real-time

  3. πŸ›‘οΈ Recover gracefully from any interruptions

  4. πŸ“ˆ Optimize settings for your specific environment

  5. πŸ“‹ Generate reports for further analysis

Run the enhanced script to get detailed diagnostics on your upload issues!

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