🚀 A Python tool to check all Pull Requests created by a GitHub user across all their repositories.

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📋 Table of Contents

• GUI
• Features
• Prerequisites
• Optional requirement
• Installation
• Demo Graph
• Usage
• Limitations
• Troubleshooting
• Example Output
• Contributing
• Key Features Added
• Quick Links

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🖼️ GUI

• NO installation needed : Tap to use directly ↗
• Make sure that you have entered correct profile name !!

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✨ Features

✅ Zero Dependencies	Uses only Python standard library
✅ No API Token Required	Works without authentication
✅ Comprehensive Statistics	Shows merged, pending, and closed PRs
✅ All Repositories	Scans across all user's repositories
✅ Detailed Reports	Optional detailed PR list with links
✅ Easy to Use	Simple command-line interface

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📦 Prerequisites

Requirement	Description
🐍 Python	Version 3.6 or higher
🌐 Internet	Active connection
👤 GitHub Username	Valid username to check

That's it! No additional packages needed.

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Optional requirement (mandatory to Generate Graphs)

Installing Matplotlib :

• Matplotlib is a popular Python library for creating static, animated, and interactive visualizations.
• Here's how to install it:

Method 1: Using pip (Recommended)

1. The simplest way is to use pip, Python's package manager:

pip install matplotlib

2. If you're using Python 3 specifically,you might need:

pip3 install matplotlib

3. For Windows:

python -m pip install --upgrade pip

Method 2: Using conda

1. If you're using Anaconda or Miniconda, use conda instead:

conda install matplotlib

Verifying the Installation

• After installation, verify it worked by opening Python and importing the library:

import matplotlib.pyplot as plt
print(matplotlib.__version__)

• If no error appears and a version number prints, the installation was successful.

Additional Setup Notes :

1. Virtual Environments (Recommended)

• It's best practice to install packages in a virtual environment to avoid conflicts:

python -m venv myenv
source myenv/bin/activate  # On Windows: myenv\Scripts\activate
pip install matplotlib

2. System Dependencies

• On some Linux systems, you might need system libraries first. For example, on Ubuntu/Debian:

sudo apt-get install python3-matplotlib

3. if using pip, ensure you have the development headers:

sudo apt-get install python3-dev
pip install matplotlib

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🔧 Installation

Method 1: Using One-Line Install & Run:

# For linux & MAC
curl -O https://raw.githubusercontent.com/Chintanpatel24/Prexec/main/Prexec.py && python3 Prexec.py

# For Windows PowerShell
Invoke-WebRequest -Uri https://raw.githubusercontent.com/Chintanpatel24/Prexec/main/Prexec.py -OutFile Prexec.py; python Prexec.py

Method 2: Clone the Repository

# Clone this repository
git clone https://github.com/Chintanpatel24/Prexes.git

# Navigate to the directory
cd Prexec

# Run the script
python3 Prexec.py

Method 3: Download Directly

1. Download Prexec.py from this repository
2. Save it to your desired location
3. Run it with Python

python Prexec.py

Method 4: Quick Download (Using wget or curl)

1. Using wget:

# Download the script
wget https://raw.githubusercontent.com/Chintanpatel24/Prexec/main/Prexec.py

# Run it
python3 Prexec.py

2. Using curl:

# Download the script
curl -O https://raw.githubusercontent.com/Chintanpatel24/Prexec/main/Prexec.py

# Run it
python3 Prexec.py

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🔑 Optional: Setup GitHub Token

• For higher API limits (5000 requests/hour instead of 60):

Step 1: Create a Personal Access Token at GitHub Settings

Step 2: Create a .env file in the same directory:

GITHUB_TOKEN=your_token_here

Step 3: The script will automatically detect and use it

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📈 Demo Graph

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🚀 Usage

• Starting the Tool

cd Prexec
python3 Prexec.py

• Everything is a command based !!
• Main Menu

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⚠️ Limitations

🔄 GitHub API Rate Limits

Authentication	Rate Limit	Resets After
❌ Without Token	60 requests/hour	1 hour
✅ With Token	5,000 requests/hour	1 hour

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🛠️ Troubleshooting

Issue	Solution
python: command not found	Use python3 check_pr.py instead
HTTP Error 403: rate limit exceeded	Wait 1 hour or add GitHub token
HTTP Error 404: Not Found	Check if username/repo exists
Shows 0 PRs	User has no PRs or repos are private
Script freezes	User has many repos; wait for completion
ModuleNotFoundError	Ensure Python 3.6+ is installed

• Debug Mode:

# Run with output logging
python Prexec.py 2>&1 | tee output.log

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📊 Example Output

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🤝 Contributing

Contributions are welcome! 🎉

• How to Contribute:

# 1. Fork the repository
# 2. Clone your fork
git clone https://github.com/Chintanpatel24/c-pr.git

# 3. Create a feature branch
git checkout -b feature/AmazingFeature

# 4. Make your changes
# 5. Commit your changes
git commit -m "Add some AmazingFeature"

# 6. Push to the branch
git push origin feature/AmazingFeature

# 7. Open a Pull Request

💡 Ideas for Contributions:

1. Add support for GitHub Organizations
2. Export to Excel format
3. Create a GUI version
4. Add data visualization (charts/graphs)
5. Filter PRs by date range
6. Add progress bar for large scans
7. Multi-threading for faster scanning
8. Add unit tests
9. Create Docker container
10. Add webhook support for real-time tracking

📋 Contribution Guidelines:

1. Follow PEP 8 style guide
2. Add comments for complex logic
3. Update README for new features
4. Keep dependencies minimal (preferably zero)
5. Test on Python 3.6+

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🔑 Key Features Added

1.

---	PR Type Detection (12 types)	---
🐛 Bug Fix	✨ Feature	📦 Dependency
📚 Documentation	♻️ Refactor	🧪 Test
⚡ Performance	🎨 Style/Lint	🌐 Translation
🔧 Config	🔒 Security	🗑️ Deprecation

2.

---	Tool Detection (16+ tools)	---
🖥️ GitHub Web	💻 GitHub CLI (gh)	🔧 Git CLI + API
🤖 Dependabot	🔄 Renovate Bot	🛡️ Snyk Bot
💜 VS Code	🧠 JetBrains IDE	⚙️ GitHub Actions

3. Productivity/Brain Power Chart :

• Profit-Loss style chart
• Based on time between PRs
• Factors: PR frequency, acceptance rate, consistency
• Shows upward trend (high productivity) or downward trend (low productivity)
• Color-coded: Green = Profit Zone, Red = Loss Zone

4. Graph Output :

• Saved as your-graph-by-cp.png
• Dark theme with gradient effects
• 6 different visualizations including the productivity chart

5. Loop-Based Menu :

• Returns to main menu after each operation
• Only exits when user selects option 4

6. Properly Aligned Tables :

• All ║ borders are consistent
• Fixed width formatting

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🔗 Quick Links

Resource	Link
📖 GitHub API Docs	docs.github.com/en/rest
🐍 Python Download	python.org/downloads
🔑 Create GitHub Token	github.com/settings/tokens
📚 Pull Request Guide	docs.github.com/en/pull-requests

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