Weather Activity Recommender Service

Overview

This application is designed to provide activity recommendations based on the forecasted weather conditions for a specified location. It utilizes Flask, a web framework in Python, to create a web interface where users can input their date, time, and zip code to receive suggested activities suitable for the weather conditions at that time and location.

Usage

Setup and Dependencies

• Flask Framework: Utilized for the web application.
• Requests Module: Used for making HTTP requests.
• Random Module: Simulates fetching weather conditions randomly for demonstration purposes.

Running the Application

1. Installation: Ensure you have Python installed. Install the necessary dependencies by running: pip install flask requests.
2. Run the Application: Execute the main.py file to start the Flask server. The server runs locally and can be accessed via a web browser.

Endpoint and Inputs

• Endpoint: The web interface is accessible at the root URL (/) where users can input date, time, and zip code.
• POST Request to /get_weather: Submits the user inputs to retrieve suggested activities. The inputs include date, time, and zip code.

Workflow

Fetching Weather Conditions

• Random Weather Generation: Simulates weather conditions randomly by selecting from predefined weather types such as 'Sunny', 'Rain', 'Snow', or 'Cloudy'.
• Lambda Function Integration: Utilizes the requests module to send a GET request to an AWS Lambda Function endpoint (https://1ha9lsdel6.execute-api.us-east-2.amazonaws.com/Test/activity_advisor) passing the generated weather condition as a parameter.

Display

• Response Parsing: Upon receiving a successful response (HTTP status code 200) from the Lambda function, the application processes the returned JSON data to extract recommended activities.
• Render Display: Renders the weather conditions, temperature, user inputs, and suggested activities on the display.html template, providing users with the suggested activities for the specified weather conditions.

Notes

• This application currently simulates weather conditions and uses a placeholder Lambda function URL for demonstration purposes. Adjustments will be needed to integrate with a live weather API and a functional Lambda service for accurate data.
• Ensure to handle error scenarios gracefully, considering situations where the Lambda function may not return expected data or in case of network failures.

Version 1.1