Project Description:

• Find code here

1. Getting METAR code (in JSON) from various National Weather Service Stations.
2. Cache result (using redis etc.) for 5 min to reduce api hit on actual server.

Used Redis(cache.memoize), Flask, Docker, docker-compose etc.

Assumptions & Pre-requisites:

1. You have docker and docker-compose installed in OS environment.
2. Remove docker-image named redis if exists. In Ubuntu its like: sudo docker rmi -f redis. Remove any existing ‘redis’ docker image.
3. Remove unused docker container. In Ubuntu its like: sudo docker container prune
4. Remove docker-container named v1_api_container if exists. In Ubuntu its like: sudo docker rm -f v1_api_container
5. Remove docker-container named redis_container if exists. In Ubuntu its like: sudo docker rm -f redis_container
6. Kill any service running in port 6379. In Ubuntu its like: sudo fuser -n tcp -k 6379
7. Kill any service running in port 8080. In Ubuntu its like: sudo fuser -n tcp -k 8080
8. Remove docker-image named v1_api if exists. : In Ubuntu its like: sudo docker rmi -f v1_api

How to run in Docker: Tested On Ubuntu(Ubuntu 18.04.2 LTS):

• RUN START BUILD: As superuser

  sudo docker-compose up -d --build
  

• START: AS superuser

  sudo docker-compose start
  

• STOP: AS superuser

  sudo docker-compose stop
  

Example Usage:

1. Params description: scode: Sation code name from here.
2. When nocache is not 0, fetch updated data from server (hit on server).

GET http://localhost:8080/metar/info?scode=SVJM&nocache=1

{
    "data": [
        [
            {
                "last_observation": "2022/04/28 at 03:03 GMT",
                "station": "SVJM",
                "temperature": "25.00 C (77.00 F)",
                "wind": "The wind is blowing from 260 degrees (true) with 4 knot."
            },
            200
        ]
    ]
}