BrewBud

This project is only for learning purpose

Getting started

1. Clone the Repo into your local machine

git clone git@github.com:ReDxDaGer/Flask-Project.git

2. Setup the env and download all the requirements

python -m venv env
source env/bin/activate
pip install pandas
pip install flask

Now you are ready to get started with the project

How it Works

1. Initialization: Flask application is initialized.

2. Routes:

   • Index Route (/): Renders the index.html template, which contains an HTML form for users to input their data.
   • Process Route (/process): Handles form submission via POST method. It extracts user data from the form, stores it in a dictionary, appends it to a list called stored_data, and then updates the CSV file with the new data.

3. Global Variables:

   • stored_data: An empty list that will store dictionaries of user data.
   • csv_filename: Name of the CSV file where user data will be stored.

4. Update CSV Function (update_csv()):

   • Converts the stored_data list into a pandas DataFrame.
   • Writes the DataFrame to a CSV file specified by csv_filename.
   • This function is called after each user submits the form to ensure the CSV file is updated with the latest data.

How to Use

• Run the script.
• Access the web application via a web browser.
• Fill out the form with user data (name, phone number, email) and submit.
• The submitted data will be stored in a CSV file named user_data.csv.
• Each submission will append new data to the CSV file.

Note

• This is a basic example and might need additional features for production use, such as input validation, error handling, and security measures.
• Ensure proper file permissions for writing to the CSV file.
• For deployment, consider using a more robust web server such as Gunicorn instead of Flask's built-in server.