My_Zootopia_part2

A simple Python project that fetches animal data from an external API and generates a dynamic HTML webpage displaying animal information. Users can search for animals and filter them by skin type.

Features

• Fetches real-time animal data from an API
• Generates a styled HTML page automatically
• Filters animals by skin type
• Handles missing or invalid animal searches gracefully
• Separates data fetching logic from website generation

Project Structure

My-Zootopia2/ │ ├── animals_web_generator.py # Main program (HTML generator) ├── data_fetcher.py # Handles API requests ├── animals_template.html # HTML template file ├── requirements.txt # Project dependencies ├── .env # API key (not included in Git) ├── .gitignore # Files ignored by Git

How It Works

1. User enters an animal name
2. Program fetches data from the API
3. If the animal exists:

• Available skin types are displayed
• User selects a filter or chooses "all"

4. HTML page is generated with animal cards
5. If no animal is found:

• A custom error message is displayed in the HTML page

Environment Variables

This project uses an API key stored securely in a .env file. Create a .env file in the project root: API_KEY=your_api_key_here

• Never commit this file to GitHub.

Installation - use the terminal 'Bash'

1. Clone the repository: git clone cd My-Zootopia2

2. Create a virtual environment: python -m venv .venv source .venv/bin/activate # Mac/Linux

3. Install dependencies: pip install -r requirements.txt

4. ▶️ Running the Project python animals_web_generator.py

Requirements

• Python 3.8+
• requests
• python-dotenv

Learning Purpose

This project demonstrates: . API integration in Python . Separation of concerns (data vs presentation) . Basic web content generation . Environment variable usage for security . Clean project structuring

Security Notes

• API keys are stored in .env
• .env is excluded via .gitignore
• Sensitive data is never pushed to GitHub

Future Improvements

• Add more animal filters (diet, habitat, etc.)
• Improve HTML styling with CSS framework
• Convert into a Flask web application
• Add caching for API requests

Author

Created by José Miguel Rocha Ramos Learning Python and building small real-world projects