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locationweatherservice's Introduction

Assumptions

  • Kafka streams the data in the json format with the given data.
  • The weather API can be used from a python-library as well for simplicity.
  • Instead of creating a SQL User table with all relevant information, just using dictionary here.

Getting Started

  • Run cmd: make all in the Terminal. This should create the Kafka Broker service and start the FastAPI service, as mentioned in the Makefile.
  • Open the browser and hit the url: https://0.0.0.0:8080/. This will open the Swagger documentation.
  • Or directly use the GET endpoint: https://0.0.0.0:8080/user/{user-id} For demo, user-id can be 81325.

Next Steps

  • The error handling can be improved for various cases, instead of just one error-code 404, currently.
  • Unit and Integration tests should be added for the functionality and the service.
  • The user-data along with location and weather can be stored and fetched from DB.
  • A better more-accurate weather-service provider can be chosen depending upon the need.
  • Instead of simple pip - requirements file, Poetry toml can be used to better manage the dependencies.

locationweatherservice's People

Contributors

prashantk1220 avatar

Watchers

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