translate.py

import os
from pathlib import Path
from openai import OpenAI
import requests
client = OpenAI(api_key="example-key")
DIFY_API_KEY = "example-key"

def translate_text(api_key=DIFY_API_KEY, user_id="mark-doc", inputs={'input_text': 'Hello, how are you?', 'target_language': 'es'}):
    url = 'https://api.dify.ai/v1/workflows/run'
    headers = {
      'Authorization': f'Bearer {api_key}',
      'Content-Type': 'application/json'
    }
    data = {
      'inputs': inputs,
      'response_mode': 'blocking',
      'user': user_id
    }
    response = requests.post(url, headers=headers, json=data)
    
    try:
        # Check if the response status code indicates success (200 OK)
        response.raise_for_status()
        # Attempt to decode the JSON response
        json_response = response.json()
        return json_response['data']['outputs']
    except requests.exceptions.HTTPError as http_err:
        # Handle HTTP errors (e.g., 404 Not Found, 401 Unauthorized)
        print(f'HTTP error occurred: {http_err}')
    except requests.exceptions.RequestException as req_err:
        # Handle other requests-related errors (e.g., connection errors)
        print(f'Request error occurred: {req_err}')
    except json.decoder.JSONDecodeError:
        # Handle JSON decode errors (e.g., empty response body)
        print('Failed to decode JSON response')
    
    # Return None or an appropriate value in case of error
    return None

def translate_markdown_files(input_folder, output_folder, target_language="japanese"):
    input_folder = Path(input_folder)
    output_folder = Path(output_folder)
    for markdown_file in input_folder.rglob("*.md"):
        relative_path = markdown_file.relative_to(input_folder)
        output_file = output_folder / relative_path
        output_file.parent.mkdir(parents=True, exist_ok=True)
        
        with open(markdown_file, "r", encoding="utf-8") as f:
            content = f.read()
            print(f"Translating {markdown_file} to {target_language}")
            # print(content)
        
        translated_content = translate_text(inputs={'input_text': content, 'target_language': target_language})
        
        # Inside the loop, after translating the content
        if translated_content is not None:
          translated_text = translated_content['final']
          with open(output_file, "w", encoding="utf-8") as f:
            f.write(translated_text)
        else:
          print(f"Warning: No translated content for {markdown_file}. Skipping file.")
    
    print(f"Translation completed. Translated files are saved in {output_folder}")

# Example usage
translate_markdown_files("zh_CN/explore", "jp/explore", target_language="japanese")