Weather App

This is a simple weather application that ingests weather data, stores it in a SQLite database, and exposes it via a REST API.

Prerequisites

• Python 3.7 or higher
• Docker
• Kubernetes

Getting Started

1. Clone the repository:

2. Install the required Python packages:

pip3 install -r requirements.txt

3. Create the database tables:

make create-tables

4. Ingest data into the database:

 WX_DATA_DIRECTORY=/path/to/weather/data && make ingestion-job

5. Analyze the data:

make data-analysis

6. Build and deploy the application to Kubernetes:

make sure your kubectl is configured to point to the cluster where you want to deploy the application to

make deploy

This will build a Docker image, push it to an AWS ECR repository, and deploy the application to a Kubernetes cluster. The Kubernetes deployment will be configured using the prod.env file.

Endpoints

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The REST API exposes the following endpoints:

• /api/weather: Retrieve weather data.
• /api/weather/stats: Retrieve weather statistics.

Both endpoints support filtering by date and station ID using query parameters. Data is returned in JSON format

Swagger/OpenAPI

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The REST API includes an automatically generated Swagger/OpenAPI endpoint that provides documentation for the API. This is accessible at the following URL:

• http://localhost:5000/apidocs/

License

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This project is licensed under the MIT License. See the LICENSE file for details.