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.

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.

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.

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.

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

CONCLUSION

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