langflow refactor(tools): overhaul Python REPL component with modern tool mode

BREAKING CHANGE: Complete redesign of PythonREPL component architecture

Replace legacy tool mode with modern tool_mode=true implementation
Add automatic import detection for both global and from-imports
Remove manual global_imports field in favor of automatic detection
Implement CodeInput type support with FieldTypes.CODE
Update schema to handle new parameters for agent compatibility
Improve error handling and logging for import failures

The component now automatically handles imports without manual configuration, supports modern tool mode, and provides better integration with the agent system through updated schema definitions.

Python REPL Overhaul.json

code used on the example:

import random
from datetime import datetime, timedelta
from typing import List, Dict

def generate_dates(quantity: int) -> List[Dict[str, str]]:
    dates = []
    base_date = datetime.now()
    
    for i in range(quantity):
        # Add random days to base date
        days = random.randint(1, 365)
        new_date = base_date + timedelta(days=days)
        
        dates.append({
            "date": new_date.strftime("%d/%m/%Y"),
            "weekday": new_date.strftime("%A")
        })
    
    return dates

# Usage example
generated_dates = generate_dates(3)
for date in generated_dates:
    print(f"Date: {date['date']}, Day: {date['weekday']}")

Or just run the code without the Agent: