ToolWatch

ToolWatch checks the health status of various Wikimedia tools and displays them in a user-friendly UI. More at: https://phabricator.wikimedia.org/T341379

Toolforge

To update the tool, the following commands need to be run

cd ToolWatch && git pull && ./scripts/toolforge-update.sh

Installation

1. Clone the repository: git clone https://github.com/gopavasanth/ToolWatch
2. Navigate to the project directory: cd ToolWatch
3. Create a virtual environment: python -m venv venv
4. Activate the virtual environment:
   • For Windows: venv\Scripts\activate
   • For Unix/Linux: source venv/bin/activate
5. Install the dependencies: pip install -r requirements.txt

Usage

Database

1. Before starting the app, you need to start the MariaDB instance on your local device.

2. You can install the MariaDB from here, or other sources.

3. After installing the MariaDB, you need to create a database with the following credentials:

   • database name: toolwatch
   • username: root
   • password: toolwatch

4. These credentials are defined in config.py file.

For production, we use Wikimedia Cloud database, and for production purposes we may need to create a .env file, with variables defined.

Starting the app

1. Run the database service (MariaDB instance, if running locally).
2. Run the Flask app: python app.py
3. Open your web browser and visit http://localhost:5000 to view the tool health status.

Production

Connect to DB Instance

To connect to the production DB instance, use the following command:

ssh -L:3307:tools.db.svc.wikimedia.cloud:3306 [email protected]

Backup

To backup the database, run:

mariadb-dump --defaults-file=$(pwd)/replica.my.cnf --skip-ssl -h 0.0.0.0 -P 3307 s55491__toolwatch > backup.sql

Jobs

• View job logs:

toolforge jobs logs -f special-restart-crawl

• List of jobs:

toolforge jobs list

Restart Toolforge web services:

toolforge webservices restart

Debug Production Container Locally

To debug the production container in local, run:

docker run -ti -u 0 --entrypoint bash tools-harbor.wmcloud.org/tool-tool-watch/tool-tool-watch:latest

Grafana Monitoring

Access the Grafana dashboard https://grafana.wmcloud.org/d/TJuKfnt4z/kubernetes-namespace?orgId=1&var-cluster=prometheus-tools&var-namespace=tool-tool-watch

Directory Structure

The directory structure of the project is as follows:

• The database directory contains the SQLite database file.
  • The templates directory contains HTML templates.
  • The model.py file defines the Tool model and sets up the database.
• The app.py file is the main entry point of the Flask application.

Customization

• To add or modify tools, you can edit the tools/models.py file and add or update the Tool model attributes.
• For more advanced health checks, you can modify the tools/views.py file and implement the logic in the check_tool_health() function.

Contributing

Contributions are welcome! If you find any issues or have suggestions for improvement, please open an issue or submit a pull request.

License

This project is licensed under the MIT License.