Weather Data Collector

This Python script collects weather data automatically using GitHub Actions. It runs on a schedule of 5:30 GMT, collects the latest weather information from the Open-Meteo API, and pushes the changes to the repository for easy tracking and analysis.

Features

• Automatic weather data collection
• Scheduled execution using GitHub Actions
• Data collected includes hourly temperature readings
• Commit and push data to the repository

Prerequisites

Before running this script, make sure you have the following:

• Python 3 installed on your machine
• A GitHub account
• Access to the repository where you want to store the weather data

Usage

1. Clone the repository to your local machine:

   https://github.com/Cozmeh/WeatherCollector.git

2. Navigate to the project directory:

   cd WeatherCollector

3. Install the required Python packages:

   pip install requests

4. Open the collector.py script in a text editor.

5. Modify the latitude and longitude values in the API call to specify the location for which you want to collect weather data. For example:

   rawData = requests.get('https://api.open-meteo.com/v1/forecast?latitude=12.9719&longitude=77.5937&hourly=temperature_2m&forecast_days=1')

   Replace latitude and longitude with the coordinates of your desired location.

6. Save the changes to the script.

7. Commit the script to the repository:

   git add collector.py
   git commit -m "Add Weather Data Collector script"
   git push

8. Go to your GitHub repository and navigate to the "Actions" tab.

9. Click on "Set up a workflow yourself" and create a new workflow file, such as .github/workflows/weather-data-collector.yml.

10. Paste the following code into the workflow file:

• Check out https://github.com/Cozmeh/WeatherCollector/blob/main/.github/workflows/Action.yml
• Do not forget to change the email in the config section
• Also ensure that the cron expression in the on.schedule section matches your desired schedule. The example above runs at 5:30 GMT. ie 11:00 IST

11. Commit and push the workflow file to the repository

The script will now run automatically according to the specified schedule, collect weather data from the Open-Meteo API, and commit and push the changes to the repository. The collected data will be stored in the HourlyTemperature.csv file as the weather dataset.

Note

• Currently the script collects the weather data of Bengaluru
• Use Open-Meteo to get your desired location's weather