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Oluwaseun Olaleye
Oluwaseun Olaleye

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WEATHER DASHBOARD

USE CASE
My manager tasked me with creating a weather dashboard and storing it in an s3 bucket using weather API and python.

PREREQUISITES

  • Linux commands

  • Ubuntu server

  • AWS free tier account.

  • AWS CLI

Let's dive into it.

Firstly, I commenced by cloning a GitHub repository from https://github.com/ShaeInTheCloud/30days-weather-dashboard. This step enabled me to obtain a local copy of the repository's codebase.
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Next. I installed all dependencies including Python. Then, I activated a virtual environment to isolate the project dependencies. With the virtual environment activated, i proceeded to install pip, Python package installer to facilitate the installation of additional project dependencies.

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AWS Command Line Interface
Next, I installed the AWS CLI on my ubuntu server https://docs.aws.amazon.com/cli/latest/userguide/getting-started-install.html. Additionally, I created a new IAM user and generated access keys for that user. I then utilized those credentials to configure the AWS CLI.

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Next, I used the Weather API to retrieve current weather conditions and forecasts. After retrieving the weather data, I processed it into a JSON format and stored it in a python dictionary. I then used the boto3 library to upload the data to an S3 bucket.

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After executing the code, I verified the creation of the S3 bucket and confirmed that it had been successfully established.

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CONCLUSION
I successfully created a weather dashboard utilizing python and the Weather API , and subsequently stored the weather forecast data to amazon S3 bucket.

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