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from youtube_transcript_api import YouTubeTranscriptApi
import pandas as pd
from langchain_experimental.utilities import PythonREPL
from langchain_core.tools import Tool
from contextlib import redirect_stdout
import io
python_repl = PythonREPL()
def read_python_file(file_path: str) -> str:
"""Reads a Python file and returns its code as a string."""
with open(file_path, 'r', encoding='utf-8') as f:
return f.read()
python_str = read_python_file('results/f918266a-b3e0-4914-865d-4faa564f1aef.py')
# Prepara un buffer per catturare stdout
f = io.StringIO()
with redirect_stdout(f):
# Esegui il codice come se fosse in un file .py
exec(python_str, {"__name__": "__main__"})
# Ottieni tutto ciò che è stato stampato
output = f.getvalue()
print("=== OUTPUT ===")
print(output)
# def get_youtube_transcript(video_url: str) -> list:
# """Fetches the transcript of a YouTube video."""
# ytt_api = YouTubeTranscriptApi()
# fetched_transcript = ytt_api.fetch(video_url)
# return fetched_transcript.to_raw_data()
# url = '1htKBjuUWec'
# transcript = get_youtube_transcript(url)
# print(transcript)
# Leggi un file xlsx con pandas
# file_path = 'results/7bd855d8-463d-4ed5-93ca-5fe35145f733.xlsx'
# df = pd.read_excel(file_path)
# print(df)
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