如何按条件将JSON字典导出至多个文件？学生单文件存储需求问询

Got it, let's adjust your code so every student gets their own JSON file that updates with new entries each time you input data for them. Here's a complete, working solution:

import json
import os

def save_student_data():
    # Get student name and sanitize filename to avoid filesystem issues
    student_name = input("Name: ").strip()
    filename = f"{student_name.replace(' ', '_').lower()}.json"
    
    # Collect the new entry details
    new_entry = {
        'date': input('Enter a date in YYYY-MM-DD format: ').strip(),
        'hours': input("Hours: ").strip()
    }
    
    # Load existing data if the student's file already exists
    if os.path.exists(filename):
        try:
            with open(filename, 'r') as file:
                student_records = json.load(file)
            # Ensure we're working with a list (in case the file had invalid data)
            if not isinstance(student_records, list):
                student_records = []
        except json.JSONDecodeError:
            print(f"Warning: {filename} is corrupted. Starting fresh with new data.")
            student_records = []
    else:
        # No existing file, create a new list for the student's records
        student_records = []
    
    # Add the new entry to the student's records
    student_records.append(new_entry)
    
    # Save the updated records back to the JSON file
    with open(filename, 'w') as file:
        json.dump(student_records, file, indent=4)  # Indent makes the file human-readable
    
    print(f"Data saved successfully to {filename}!")

# Run the function when the script is executed
if __name__ == "__main__":
    save_student_data()

Key Features Explained: #

• Individual Files: Each student gets a unique JSON file named after their name (e.g., penny_pang.json for "Penny Pang")—we replace spaces with underscores and use lowercase to avoid cross-OS filesystem issues.
• Update Existing Records: If the student's file already exists, we load all their previous entries and append the new one instead of overwriting everything.
• Error Handling: We handle cases where the JSON file might be corrupted, so the script doesn't crash and starts fresh for that student if needed.
• Readable Output: The indent=4 parameter in json.dump formats the JSON file with proper spacing, making it easy to read manually.

Example Workflow: #

1. Run the script, enter "Penny Pang" as the name, then a date and hours. A penny_pang.json file is created with:

   [
       {
           "date": "2024-05-20",
           "hours": "3"
       }
   ]
   

2. Run the script again, enter "Penny Pang" once more, add new date and hours. The file updates to:

   [
       {
           "date": "2024-05-20",
           "hours": "3"
       },
       {
           "date": "2024-05-21",
           "hours": "5"
       }
   ]
   

内容的提问来源于stack exchange，提问作者Penny Pang