report

Recent updated projects with summary and WP API and OpenAI integration

Setup

1. Clone this repository:

   git clone https://github.com/yourusername/yourrepository.git
   cd yourrepository
   

2. Set up SSH keys for GitHub (if not already done):

   • Generate an SSH key pair:

     ssh-keygen -t ed25519 -C "your_email@example.com"
     

   • Add the SSH key to your GitHub account:
     • Copy the public key:

       cat ~/.ssh/id_ed25519.pub
       

     • Go to GitHub Settings > SSH and GPG keys > New SSH key
     • Paste your public key and save

3. Create and activate a virtual environment:

   python -m venv .venv
   source .venv/bin/activate  # On Windows, use `.venv\Scripts\activate`
   

4. Install the required dependencies:

   pip install -r requirements.txt
   

5. Set up your environment variables:

   • Copy the .env.example file to .env:

     cp .env.example .env
     

   • Open the .env file and replace your_openai_api_key with your actual OpenAI API key.
   • The GIT_REPO_PATH is set to ./ by default, which means repositories will be cloned into the current directory. You can change this if needed.

6. Update the REPO_LIST in report.py with the repositories you want to analyze.

7. Set up and start the Text-to-Speech service, and run the report:

   • Make the initialization script executable:

     chmod +x init.sh
     

   • Run the initialization script:

     ./init.sh
     

Usage

The init.sh script now handles everything:

• It starts the TTS service if it's not already running.
• It waits for the TTS service to be fully operational.
• It automatically runs the report.py script once the TTS service is ready.

To use the system, simply run:

./init.sh

This will set up the TTS service and start the report generation process.

Testing

To run the test suite:

1. Ensure you're in the project directory and your virtual environment is activated.
2. Run the following command:

   python report.py test
   

This will execute a series of unit tests to verify the functionality of the report generation system.

Testing the TTS Docker Service

To test the Text-to-Speech Docker service:

1. Make sure the TTS service is running (you can start it with ./init_tts.sh if it's not already running).
2. Make the test script executable:

   chmod +x test_tts_docker.sh
   

3. Run the test script:

   ./test_tts_docker.sh
   

This will send a test request to the TTS service and generate an audio file named test_tts_output.mp3. You can play this file to verify that the TTS service is working correctly.