Initialize the base structure#1
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This pull request introduces the initial setup for a Django-based forecasting service. It includes configurations for CI, project structure, and key components such as settings, URLs, and a sample API endpoint. Below is a summary of the most important changes grouped by theme.
CI and Build Configuration
.github/workflows/ci.yml) for continuous integration, including steps for setting up Python, installing dependencies, running migrations, and executing tests.Project Setup and Configuration
Makefilewith commands for setting up the virtual environment, installing dependencies, running the server, and managing migrations and tests.settings.py,urls.py,asgi.py, andwsgi.py, to set up the core project structure and enable API routing. [1] [2] [3] [4]Documentation
README.mdwith project setup instructions, API usage examples, and guidance on adding new products or integrating with external services.Core Application Components
forecasterapp with placeholder files for models, views, URLs, and utility functions. These include a root API endpoint and stubs for forecasting logic and warehouse API integration. [1] [2] [3] [4] [5] [6] [7] [8]Dependencies and Integration
forecasterapp to use Django REST Framework for API development and CORS headers for cross-origin requests.This setup establishes the foundation for the forecasting service, enabling further development of forecasting logic, API endpoints, and integration with external systems.