Use case: Generate and refactor code

You can use Gemini Enterprise to generate new code and refactor existing code.

Example prompt

In the chat box, enter a prompt such as the following:

Can you generate a Python function to parse a JSON file and extract specific
keys? Also, can you refactor the code in the attached file to improve its
readability and efficiency?

Example output

In response to this prompt, Gemini Enterprise produces output similar to the following:

Of course. I can help with both of your requests.

First, here is a general-purpose Python function to parse a JSON file and extract a list of specified keys. It includes error handling for common issues like a missing file or invalid JSON content.

Function to Parse JSON and Extract Keys

import json

def extract_keys_from_json(file_path, keys_to_extract):
    """
    Parses a JSON file and extracts values for a specific list of keys.

    Args:
        file_path (str): The path to the JSON file.
        keys_to_extract (list): A list of strings representing the keys to extract.

    Returns:
        dict: A dictionary containing the extracted keys and their values.
              Returns an empty dictionary if the file is not found or is invalid.
    """
    extracted_data = {}
    try:
        with open(file_path, 'r') as f:
            data = json.load(f)
            # ...

---

Refactored Code

Here is the refactored version of the hi.py file you provided. The primary improvements focus on making the code safer and more readable by removing the deeply nested if statements.

This version uses the .get() method, which is a more "Pythonic" way to access dictionary keys that might not exist. It helps avoid KeyError exceptions and makes the code flatter and easier to follow.

import json

def update_user_status_refactored(json_data):
    """
    Parses user data, updates status, and handles nested keys safely.
    """
    data = json.loads(json_data)

    # Safely get the email using .get() to avoid errors if keys are missing
    # .get('user', {}) returns an empty dict if 'user' is not found
    email = data.get('user', {}).get('details', {}).get('email')

    if email:
        print(f"Processing user: {email}")

    # Update the user status
    if 'user' in data:
        # ...