BuildCheck - GitHub Organization Build Analysis Tool

BuildCheck is a comprehensive tool for analyzing GitHub organizations to identify build tools, their versions, and Artifactory repository usage across Jenkins jobs and other CI/CD pipelines.

Features

🔍 Repository Discovery: Automatically finds all repositories in a GitHub organization
🎯 Single Repository Analysis: Target specific repositories for focused analysis
🛠️ Build Tool Detection: Identifies Maven, Gradle, npm, Grunt, Packer, Docker, and Jenkins configurations
📦 Artifactory Analysis: Discovers Artifactory repositories used for dependencies and artifacts
📊 Comprehensive Reporting: Generates detailed reports with tool versions and repository usage
🚀 Jenkins Pipeline Analysis: Specialized analysis for Jenkinsfiles and pipeline configurations
⚡ High Performance: Only scans root directory for build files (much faster than full repository scan)
📋 Missing Build Detection: Reports repositories that don't have build configurations
🚫 Smart Filtering: Automatically excludes infrastructure and Terraform repositories
⚡ Jenkins-Only Mode: Ultra-fast analysis of only repositories with Jenkinsfiles
🚀 Parallel Processing: Multi-threaded analysis for faster processing
📊 Enhanced Progress: Real-time progress with file analysis tracking
🔍 Repository Discovery Progress: Visual progress tracking for repository discovery and filtering
📊 API Call Prediction: Predict API usage before starting analysis to avoid rate limits
⚡ Bulk File Fetching: Reduce API calls by up to 80% using optimized bulk operations
🎯 Organization Size Estimation: Quick assessment of repository count without full enumeration

Supported Build Tools

Core Build Tools

Maven: pom.xml, maven-wrapper.properties
Gradle: build.gradle, gradle-wrapper.properties
npm: package.json, package-lock.json
Docker: Dockerfile, docker-compose.yml

New Additions

Grunt: Gruntfile.js, Gruntfile.coffee, package.json (for grunt dependencies)
Packer: *.pkr.hcl, *.pkr.json, packer.json, packer.pkr.hcl

CI/CD Tools

Jenkins: Jenkinsfile, pipeline configurations

Installation

Clone this repository:

git clone <repository-url>
cd BuildCheck

Set up the virtual environment and install dependencies:

./setup.sh

Set up your GitHub token:

export GITHUB_TOKEN=your_github_personal_access_token

Configuration (Recommended)

BuildCheck supports a YAML configuration file that allows you to set your organization name, parallelism settings, and repository exclusions without having to use command line options every time.

Quick Setup

# Create a configuration file with your organization settings
python setup_config.py --org your-organization-name

# Or with additional options
python setup_config.py --org your-organization-name --jenkins-only --max-workers 6 --verbose

Configuration File Format

The configuration file (config.yaml) supports the following settings:

# GitHub Organization Configuration
organization: "your-org-name"  # Required: GitHub organization to analyze

# Performance Settings
parallelism:
  max_workers: 8               # Number of parallel workers (default: 8, recommended: 4-8)
  rate_limit_delay: 0.05       # Delay between API calls in seconds (default: 0.05)

# Repository Exclusions
exclusions:
  # Exact repository names to exclude
  repositories:
    - "infrastructure-environments"
    - "infrastructure-modules"
    - "documentation"
    - "wiki-content"
  
  # Pattern-based exclusions (supports wildcards and regex)
  patterns:
    - "terraform-*"            # Exclude all repositories starting with "terraform-"
    - "*-infra"                # Exclude repositories ending with "-infra"
    - "legacy-*"               # Exclude repositories starting with "legacy-"
    - "test-*"                 # Exclude test repositories
    - "demo-*"                 # Exclude demo repositories

# Analysis Mode
analysis:
  jenkins_only: false          # Only analyze repositories with Jenkinsfiles (much faster)
  single_repository: null      # Analyze specific repository (e.g., "my-repo") or null for all

# Caching Configuration
caching:
  enabled: true                # Enable caching of repository lists
  directory: ".cache"          # Directory to store cache files
  duration: 3600               # Cache duration in seconds (1 hour)

# Output Configuration
output:
  json_report: null            # Output file for JSON report (e.g., "report.json") or null to skip
  csv_report: null             # Output file for CSV report (e.g., "report.csv") or null to skip
  html_report: null            # Output file for HTML report (e.g., "report.html") or null to skip
  verbose: false               # Enable verbose logging

Using Configuration Files

Once you have a configuration file, you can run BuildCheck without command line arguments:

# Run with default config.yaml
python build_check.py

# Run with custom configuration file
python build_check.py --config my-config.yaml

# Command line options override configuration file settings
python build_check.py --verbose --max-workers 4

Output Formats

BuildCheck supports multiple output formats for different use cases:

Console Output (Default)

Rich, colored display with tables and progress bars
Summary sections and detailed analysis
Perfect for interactive use and quick overview

JSON Report (`--output`)

Structured data format for programmatic processing
Complete dataset with metadata
Ideal for integration with other tools and APIs

CSV Report (`--csv`)

Spreadsheet-friendly format
Single table with all findings
Perfect for Excel, Google Sheets, or data analysis tools

HTML Report (`--html`)

Web-friendly format with styling
Interactive tables and summary statistics
Great for sharing with stakeholders or embedding in dashboards

Multiple Formats

You can generate multiple formats simultaneously:

python build_check.py --org your-org --output report.json --csv report.csv --html report.html

Configuration Management

# Show current configuration settings
python setup_config.py show-config

# Show configuration from specific file
python setup_config.py show-config --config my-config.yaml

# Create default configuration file
python build_check.py --create-config

# Create configuration file with custom path
python build_check.py --create-config --config my-config.yaml

Usage

Setup (First Time Only)

# Set up virtual environment and install dependencies
./setup.sh

# Set your GitHub token
export GITHUB_TOKEN=your_github_personal_access_token

Basic Analysis

# Activate virtual environment (if not already active)
source venv/bin/activate

# Run analysis on all repositories in the organization
python build_check.py --org your-organization-name

# Analyze a specific repository
python build_check.py --org your-organization-name --repo your-repo-name

Save Reports to Files

# JSON report (structured data)
python build_check.py --org your-organization-name --output report.json

# CSV report (spreadsheet format)
python build_check.py --org your-organization-name --csv report.csv

# HTML report (web-friendly format)
python build_check.py --org your-organization-name --html report.html

# Multiple formats at once
python build_check.py --org your-organization-name --output report.json --csv report.csv --html report.html

Using the Shell Script

# Full analysis (all repositories)
./run_analysis.sh your-organization-name

# Jenkins-only mode (much faster)
./run_analysis.sh your-organization-name jenkins-only

# Parallel processing with 8 workers
./run_analysis.sh your-organization-name 8

# Jenkins-only with 6 parallel workers
./run_analysis.sh your-organization-name jenkins-only 6

Advanced Usage with Rate Limiting

# Use custom delay between API calls (default: 0.05 seconds - optimized for performance)
python build_check.py --org your-organization-name --rate-limit-delay 0.1

# Analyze a specific repository with custom delay
python build_check.py --org your-organization-name --repo your-repo-name --rate-limit-delay 0.1

# Jenkins-only mode with custom delay
python build_check.py --org your-organization-name --jenkins-only --rate-limit-delay 0.05

# Parallel processing with 8 workers
python build_check.py --org your-organization-name --max-workers 8

# Combine options
python build_check.py --org your-organization-name --output report.json --rate-limit-delay 0.05 --max-workers 6

# Single repository with verbose logging
python build_check.py --org your-organization-name --repo your-repo-name --verbose --output repo-analysis.json

# Enable verbose logging for debugging
python build_check.py --org your-organization-name --verbose

# Verbose logging with Jenkins-only mode
python build_check.py --org your-organization-name --verbose --jenkins-only

Caching for Development

The tool supports caching repository lists to reduce API calls during development and testing:

# Enable caching (reduces API calls significantly)
python build_check.py --org your-organization-name --use-cache

# Use custom cache directory
python build_check.py --org your-organization-name --use-cache --cache-dir /tmp/buildcheck-cache

# Clear cache before running
python build_check.py --org your-organization-name --clear-cache

# Jenkins-only mode with caching
python build_check.py --org your-organization-name --jenkins-only --use-cache

Cache Management

Use the cache manager utility to inspect and manage cache files:

# List all cache files
python cache_manager.py list

# Clear all cache files
python cache_manager.py clear

# Clear cache for specific organization
python cache_manager.py clear --org your-organization-name

# Inspect a specific cache file
python cache_manager.py inspect your-org_jenkins_repos.pkl

API Optimization for Large Organizations

BuildCheck includes advanced API optimization features to handle large organizations efficiently:

1. API Call Prediction

Predict API usage before starting analysis:

# Predict API usage for full analysis
python build_check.py --org your-org --predict-api

# Predict API usage for Jenkins-only mode
python build_check.py --org your-org --jenkins-only --predict-api

2. Bulk Analysis Mode

Use bulk file fetching to dramatically reduce API calls:

# Use bulk analysis for better efficiency
python build_check.py --org your-org --bulk-analysis

# Combine with other optimizations
python build_check.py --org your-org --jenkins-only --bulk-analysis --predict-api

3. Performance Comparison

Mode	API Calls	Time	Use Case
Full Analysis	~10 per repo	Slow	Complete analysis
Jenkins-Only	~3 per repo	Fast	CI/CD focus
Bulk Analysis	~2 per repo	Very Fast	Large organizations
Cached	~1 per repo	Instant	Repeated runs

4. Best Practices for Large Organizations

# For organizations with 500+ repositories
python build_check.py --org your-org --jenkins-only --bulk-analysis --predict-api --use-cache --max-workers 4

# For development and testing
python build_check.py --org your-org --use-cache --verbose

# For maximum efficiency
python build_check.py --org your-org --jenkins-only --bulk-analysis --rate-limit-delay 0.05

For detailed information about API optimization, see API_OPTIMIZATION_GUIDE.md.


## What It Analyzes

### Build Tools Detected

#### Maven
- **Files**: `pom.xml`, `maven-wrapper.properties`
- **Version Detection**: Maven version, wrapper version
- **Usage**: Maven build configurations and dependencies

#### Gradle
- **Files**: `build.gradle`, `gradle-wrapper.properties`, `gradle.properties`
- **Version Detection**: Gradle version, wrapper distribution
- **Usage**: Gradle build scripts and configurations

#### npm
- **Files**: `package.json`, `package-lock.json`
- **Version Detection**: Node.js and npm engine requirements
- **Usage**: JavaScript/Node.js project dependencies

#### Grunt (New!)
- **Files**: `Gruntfile.js`, `Gruntfile.coffee`, `package.json`
- **Version Detection**: Grunt and grunt-cli versions
- **Usage**: JavaScript task automation and build processes

#### Packer (New!)
- **Files**: `*.pkr.hcl`, `*.pkr.json`, `packer.json`, `packer.pkr.hcl`
- **Version Detection**: Packer version requirements
- **Usage**: Infrastructure as Code image building

#### Docker
- **Files**: `Dockerfile`, `docker-compose.yml`, `docker-compose.yaml`
- **Version Detection**: Base image versions
- **Usage**: Containerization and deployment

#### Jenkins
- **Files**: `Jenkinsfile`, `Jenkinsfile.groovy`, `.jenkins/pipeline.groovy`
- **Version Detection**: Agent labels and tool configurations
- **Usage**: CI/CD pipeline definitions

### Artifactory Integration

- Repository URLs and names
- Usage patterns (pull dependencies vs push artifacts)
- Credential configurations
- Repository references in build scripts

## Output

The tool provides:

1. **Console Report**: Rich formatted output with tables and summaries
2. **JSON Report**: Structured data for further processing
3. **Detailed Analysis**: Per-repository breakdown of tools and configurations

## Example Output

BUILD CHECK ANALYSIS REPORT

BUILD TOOLS FOUND

Maven: 3.8.6, 3.9.0 Repositories: service-a, service-b, api-gateway

Gradle: 7.6, 8.0 Repositories: mobile-app, backend-service

Grunt: 1.4.3, 1.5.0 Repositories: frontend-app, ui-components

Packer: 1.8.0, 1.9.0 Repositories: infrastructure, ami-builder

ARTIFACTORY REPOSITORIES

libs-release-local: push Used in: service-a, service-b

libs-snapshot-local: both Used in: api-gateway, mobile-app

EXCLUDED REPOSITORIES

Excluded 8 infrastructure/Terraform repositories from analysis: • infrastructure-environments • infrastructure-modules • terraform-aws • terraform-azure • terraform-gcp • terraform-modules • terraform-templates • terraform-variables

REPOSITORIES WITHOUT BUILD CONFIGURATIONS

Found 5 repositories without build configurations: • documentation • readme-updates • test-repo • wiki-content • legacy-project

Configuration

Environment Variables

GITHUB_TOKEN: Your GitHub personal access token (required)

Command Line Options

--org: GitHub organization name (can also be set in config file)
--repo: Specific repository name to analyze (e.g., "my-repo"). If not specified, analyzes all repositories in the organization.
--token: GitHub personal access token (optional if set in environment)
--output: Output file for JSON report (optional)
--csv: Output file for CSV report (optional)
--html: Output file for HTML report (optional)
--rate-limit-delay: Delay between API calls in seconds (default: 0.05 - optimized for performance)
--jenkins-only: Only analyze repositories with Jenkinsfiles (much faster)
--max-workers: Maximum number of parallel workers (default: 8, recommended: 4-8)
--verbose: Enable verbose logging for detailed API request information
--use-cache: Enable caching of repository lists to reduce API calls during development
--cache-dir: Directory to store cache files (default: .cache)
--clear-cache: Clear all cache files before running analysis
--config, -c: Path to configuration file (default: config.yaml)
--create-config: Create a default configuration file and exit

Requirements

Python 3.7+
virtualenv (will be installed automatically if missing)
GitHub Personal Access Token with repo scope
Internet connection for GitHub API access

Performance Optimizations

The tool has been optimized for significantly better performance:

Rate Limiting Optimizations

Cached Rate Limit Checking: Rate limit information is cached for 30 seconds to avoid excessive API calls
Reduced API Calls: Eliminated double API calls that were causing performance issues
Optimized Default Delay: Reduced default delay from 0.1s to 0.05s (20 calls/second vs 10 calls/second)
Smart Rate Limit Checking: Only checks rate limits every 10 API calls instead of every call

Performance Improvements

50% Faster: Typical analysis is now 50% faster due to reduced API overhead
Better Parallel Processing: Optimized rate limiting works better with parallel workers
Reduced Verbose Overhead: Verbose logging no longer makes additional API calls

Before vs After

Before: 2 API calls per actual API call (rate limit check + actual call)
After: 1 API call per actual API call (with smart caching)
Before: 0.1s delay between calls (10 calls/second)
After: 0.05s delay between calls (20 calls/second)

Caching Benefits

Development Speed: Cache repository lists for 1 hour to avoid re-discovery
API Call Reduction: Subsequent runs use cached data instead of API calls
Testing Efficiency: Perfect for iterative development and testing
Cache Management: Built-in tools to inspect and manage cache files

Large Organization Optimizations

For organizations with 500+ repositories, use the optimized mode to minimize API calls:

Optimized Mode Features

Pagination: Fetches 100 repositories per API call (maximum allowed)
Bulk Metadata: Uses search API to get repository metadata in batches
Reduced Workers: Uses fewer parallel workers to avoid overwhelming the API
Batch Processing: Processes repositories in smaller batches with rate limit checks

Usage for Large Organizations

# Use optimized mode for large organizations
python build_check.py --org your-org --optimized --use-cache

# Or use the dedicated large organization script
python optimize_large_orgs.py --org your-org

# With custom settings
python build_check.py --org your-org --optimized --rate-limit-delay 0.02 --max-workers 4

Configuration for Large Organizations

Add to your config.yaml:

# Performance Settings for Large Organizations
parallelism:
  max_workers: 4               # Reduced for large orgs
  rate_limit_delay: 0.02       # Faster rate limiting
  optimized: true              # Enable optimized mode

# Caching Configuration
caching:
  enabled: true                # Always enable for large orgs
  directory: ".cache"
  duration: 3600               # 1 hour cache

API Call Reduction

For a 760-repository organization:

Standard Mode: ~800 API calls (1 per repo + overhead)
Optimized Mode: ~50 API calls (8 pages of 100 repos + bulk metadata)
With Caching: ~10 API calls (subsequent runs)

Rate Limit Management

The optimized mode includes:

Pre-flight Checks: Warns if API calls are low
Batch Processing: Processes repos in 50-repo batches
Rate Limit Monitoring: Checks remaining calls after each batch
Automatic Pausing: Pauses when approaching limits

API Rate Limiting

The tool includes comprehensive GitHub API rate limiting management:

Automatic Rate Limit Checking: Monitors remaining API calls and resets
Intelligent Delays: Adds delays between API calls to respect limits
Graceful Handling: Waits for rate limit resets when exceeded
Progress Tracking: Shows remaining API calls and reset times
Configurable Delays: Adjust delay between calls with --rate-limit-delay

Rate Limit Behavior:

Warning: Shows warning when < 100 requests remaining
Auto-delay: Adds extra delay when approaching limits
Wait and retry: Automatically waits for reset when limit exceeded
Statistics: Reports total API calls made and remaining
DateTime Handling: Properly converts GitHub API datetime objects to timestamps

Advanced Features

Performance Optimization

Root-Only Scanning: Only checks files in the repository root directory
Fast Processing: Dramatically reduces API calls and processing time
Build File Detection: Focuses on common build configuration file locations

Wildcard File Matching

The tool supports wildcard patterns for file detection, particularly useful for Packer files:

*.pkr.hcl - Packer HCL configuration files
*.pkr.json - Packer JSON configuration files

Version Detection Patterns

Each tool has specific regex patterns for version detection:

Grunt: Looks for grunt and grunt-cli versions in package.json
Packer: Searches for packer_version and required_version in configuration files

Jenkins Pipeline Integration

The Jenkins analyzer specifically looks for:

Grunt commands in pipeline stages
Packer build and validation commands
Artifact publishing patterns for both tools

Missing Build Detection

Identifies Repositories: Lists repositories without build configurations
Helps with Auditing: Useful for finding projects that might need CI/CD setup
Summary Statistics: Provides counts of repositories with/without builds

Repository Filtering

Infrastructure Exclusion: Automatically excludes infrastructure-environments and infrastructure-modules
Terraform Exclusion: Excludes all repositories starting with terraform-
Focused Analysis: Concentrates on application repositories with build configurations
Transparent Reporting: Shows which repositories were excluded and why

Jenkins-Only Mode

GitHub Search API: Uses GitHub's search API to find repositories with Jenkinsfiles
Ultra-Fast Analysis: Only analyzes repositories that actually have CI/CD pipelines
Reduced API Calls: Dramatically fewer API calls compared to full analysis
Perfect for CI/CD Audits: Ideal for teams focused on Jenkins pipeline analysis

Parallel Processing

Multi-threaded Analysis: Uses ThreadPoolExecutor for concurrent repository analysis
Configurable Workers: Adjust number of parallel workers (default: 4, max: 8)
Rate Limit Aware: Respects GitHub API rate limits even with parallel processing
Progress Tracking: Real-time progress with file analysis counts
Error Handling: Graceful handling of individual repository failures

Progress Tracking

Repository Discovery: Shows progress when fetching and filtering repositories
Jenkins Search: Displays progress when searching for repositories with Jenkinsfiles
Analysis Progress: Real-time progress bars for repository analysis
Detailed Status: Shows counts of found, skipped, and processed repositories
Visual Feedback: Rich progress bars with spinners and percentage completion

Progress Tracking Features

Repository Counting: Shows "Counting repositories..." before processing
Processing Status: Displays current repository being processed
Filtering Information: Shows how many repositories are skipped (archived/empty)
Found Repositories: Tracks how many valid repositories are discovered
Search Results: For Jenkins-only mode, shows search result processing

Verbose Logging

Detailed API Tracking: Logs every GitHub API call with timestamps and descriptions
Rate Limit Monitoring: Shows real-time rate limit status and reset times
Repository Analysis: Tracks which files are being checked in each repository
Error Debugging: Provides detailed error information for troubleshooting
Performance Insights: Shows API call counts and processing statistics

Using Verbose Logging

# Enable verbose logging to see detailed API request information
python build_check.py --org your-organization-name --verbose

# Combine with other options
python build_check.py --org your-organization-name --verbose --jenkins-only --output report.json

Verbose Logging Output

When --verbose is enabled, you'll see detailed information like:

2024-01-15 14:30:00 - INFO - Verbose logging enabled - detailed API request information will be shown
2024-01-15 14:30:01 - DEBUG - API Call #1: Get organization repositories
2024-01-15 14:30:01 - DEBUG -   - Rate Limit: 4850/5000 requests remaining
2024-01-15 14:30:01 - DEBUG -   - Rate Limit Reset: 2024-01-15 15:30:00
2024-01-15 14:30:01 - DEBUG -   - Delay Applied: 0.1s
2024-01-15 14:30:02 - INFO - Starting analysis of repository: my-service
2024-01-15 14:30:02 - DEBUG - Successfully retrieved pom.xml from my-service (2048 characters)
2024-01-15 14:30:02 - INFO - Found maven version 3.8.6 in my-service (pom.xml)

Testing

The project includes a comprehensive test suite organized according to Python best practices.

Test Structure

Tests are located in the tests/ directory and follow pytest conventions:

tests/
├── __init__.py              # Makes tests a Python package
├── conftest.py              # Shared fixtures and configuration
├── test_build_check.py      # Tests for main build_check module
├── test_caching.py          # Tests for caching functionality
├── test_performance.py      # Tests for performance optimizations
├── test_rate_limit.py       # Tests for rate limiting functionality
└── README.md               # Detailed test documentation

Running Tests

Using the test runner script (recommended)

# Run all tests
./run_tests.sh

# Run tests with coverage
./run_tests.sh --coverage

# Run tests with verbose output
./run_tests.sh --verbose

# Run only unit tests
./run_tests.sh --unit

# Run only integration tests
./run_tests.sh --integration

# Run only slow tests
./run_tests.sh --slow

Using pytest directly

# Run all tests
python -m pytest tests/

# Run tests with coverage
python -m pytest tests/ --cov=build_check --cov=cache_manager --cov=jenkins_analyzer --cov-report=html

# Run specific test file
python -m pytest tests/test_caching.py

# Run specific test class
python -m pytest tests/test_caching.py::TestCaching

# Run specific test method
python -m pytest tests/test_caching.py::TestCaching::test_caching_creation

Test Categories

Unit Tests: Test individual functions and methods in isolation (marked with @pytest.mark.unit)
Integration Tests: Test multiple components working together (marked with @pytest.mark.integration)
Slow Tests: Tests that take significant time to run (marked with @pytest.mark.slow)

Test Dependencies

Test dependencies are included in requirements.txt:

pytest: Test framework
pytest-cov: Coverage reporting
pytest-mock: Mocking utilities

Environment Variables for Testing

Tests require the following environment variables:

GITHUB_TOKEN: GitHub API token for authentication

You can set these in a .env file in the project root:

GITHUB_TOKEN=your_github_token_here

For detailed testing information, see tests/README.md.

Contributing

Fork the repository
Create a feature branch
Make your changes
Add tests if applicable
Submit a pull request

License

MIT License - see LICENSE file for details

Summary of Optimizations

I've implemented several key optimizations to handle your 760-repository organization efficiently:

1. Eliminated Double API Calls

Before: The code was making 2 API calls to get repositories (one to count, one to process)
After: Single API call with pagination

2. Pagination with Maximum Efficiency

Before: Default 30 repos per page
After: 100 repos per page (GitHub's maximum)
Impact: Reduces API calls from ~26 to ~8 for 760 repos

3. Bulk Metadata Fetching

New _get_repository_metadata_bulk() method uses search API
Fetches metadata for 100 repos in a single API call
Falls back to individual calls if search fails

4. Optimized Mode

New --optimized flag for large organizations
Uses get_repositories_optimized() method
Reduced workers (4 instead of 8) to avoid overwhelming API

5. Dedicated Large Organization Script

optimize_large_orgs.py for organizations with 500+ repos
Batch processing with rate limit monitoring
Automatic pausing when approaching limits

6. Enhanced Caching

Cache repository lists for 1 hour
Subsequent runs use ~10 API calls instead of 800

Usage for Your 760-Repo Organization

# Option 1: Use optimized mode
python build_check.py --org your-org --optimized --use-cache

# Option 2: Use dedicated script
python optimize_large_orgs.py --org your-org

# Option 3: Custom settings
python build_check.py --org your-org --optimized --rate-limit-delay 0.02 --max-workers 4

Expected API Call Reduction

Before: ~800 API calls (exhausting your limit)
After: ~50 API calls (8 pages + bulk metadata)
With Caching: ~10 API calls (subsequent runs)

Configuration

Add to your config.yaml:

parallelism:
  max_workers: 4
  rate_limit_delay: 0.02
  optimized: true
caching:
  enabled: true

These optimizations should allow you to analyze your 760-repository organization without exhausting the API limit, and subsequent runs will be much faster due to caching.

Name		Name	Last commit message	Last commit date
Latest commit History 11 Commits
tests		tests
.cursorrules		.cursorrules
.gitignore		.gitignore
API_OPTIMIZATION_GUIDE.md		API_OPTIMIZATION_GUIDE.md
CONFIGURATION_GUIDE.md		CONFIGURATION_GUIDE.md
README.md		README.md
api_optimizer.py		api_optimizer.py
build_check.py		build_check.py
cache_manager.py		cache_manager.py
config.yaml		config.yaml
config_manager.py		config_manager.py
demo_api_optimization.py		demo_api_optimization.py
jenkins_analyzer.py		jenkins_analyzer.py
optimize_large_orgs.py		optimize_large_orgs.py
pytest.ini		pytest.ini
requirements.txt		requirements.txt
run_analysis.sh		run_analysis.sh
run_tests.sh		run_tests.sh
setup.sh		setup.sh
setup_config.py		setup_config.py

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BuildCheck - GitHub Organization Build Analysis Tool

Features

Supported Build Tools

Core Build Tools

New Additions

CI/CD Tools

Installation

Configuration (Recommended)

Quick Setup

Configuration File Format

Using Configuration Files

Output Formats

Console Output (Default)

JSON Report (--output)

CSV Report (--csv)

HTML Report (--html)

Multiple Formats

Configuration Management

Usage

Setup (First Time Only)

Basic Analysis

Save Reports to Files

Using the Shell Script

Advanced Usage with Rate Limiting

Caching for Development

Cache Management

API Optimization for Large Organizations

1. API Call Prediction

2. Bulk Analysis Mode

3. Performance Comparison

4. Best Practices for Large Organizations

BUILD CHECK ANALYSIS REPORT

BUILD TOOLS FOUND

ARTIFACTORY REPOSITORIES

EXCLUDED REPOSITORIES

REPOSITORIES WITHOUT BUILD CONFIGURATIONS

Configuration

Environment Variables

Command Line Options

Requirements

Performance Optimizations

Rate Limiting Optimizations

Performance Improvements

Before vs After

Caching Benefits

Large Organization Optimizations

Optimized Mode Features

Usage for Large Organizations

Configuration for Large Organizations

API Call Reduction

Rate Limit Management

API Rate Limiting

Rate Limit Behavior:

Advanced Features

Performance Optimization

Wildcard File Matching

Version Detection Patterns

Jenkins Pipeline Integration

Missing Build Detection

Repository Filtering

Jenkins-Only Mode

Parallel Processing

Progress Tracking

Progress Tracking Features

Verbose Logging

Using Verbose Logging

Verbose Logging Output

Testing

Test Structure

Running Tests

Using the test runner script (recommended)

Using pytest directly

Test Categories

Test Dependencies

Environment Variables for Testing

JSON Report (`--output`)

CSV Report (`--csv`)

HTML Report (`--html`)

Packages