Implementation of a basic Productizer for random weather data using Python and FastAPI. Serves as an example of how to implement a working Productizer.
Do not use this codebase in production or with production data without careful understanding and consideration of the security and other consequences. This codebase is not suitable as-is for sensitive data.
Generic pre-requisites for development
To set up the pre-commit hooks, run pre-commit install in the repo. After it you can
manually run pre-commit only for your changes or pre-commit run --all-files for all
files.
Install dependencies:
poetry installThen to run the application, use:
poetry run invoke devMake sure Docker is installed.
docker build -t example-productizer .
docker run -p 8000:8000 --rm -it example-productizercurl -X POST -H "Content-Type: application/json" -d '{"lat":60.192059, "lon":24.945831}' http://localhost:8000/Weather/Current/Metric_v1.0The API serves its own docs, if running as instructed above, can be found at
http://localhost:8000/docs, and the OpenAPI 3.0 spec can be found at
http://localhost:8000/openapi.json.
This code is released under the BSD 3-Clause license. Details in the LICENSE.md file.
Written guide for how to build a data source
You can also check out our YouTube tutorial:
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