import json
import os
from datasets import load_dataset

class get_files:

    def predefined_dataset(dataset_name):
        global dataset # bad practice, I know... But just bear with me. Will later update to state dict.
        dataset = load_dataset(dataset_name, split = "train")
        return 'Successfully loaded dataset'
    
    def uploaded_dataset(file):
        global dataset # bad practice, I know... But just bear with me. Will later update to state dict.
        dataset = []
        if file is None:
            return "File not found. Please upload the file again."
        try:
            with open(file,'r') as file:
                for line in file:
                    dataset.append(json.loads(line.strip()))
            return "File retrieved."
        except FileNotFoundError:
            return "File not found. Please upload the file again."

    def load_markdown_file(file_path):
        try:
            with open(file_path, 'r') as f:
                return f.read()
        except FileNotFoundError:
            return "File not found. Please check the file path."
        except Exception as e:
            return f"Error loading file: {str(e)}"

    def json_cfg():
        """Retrieve configuration file"""
        config_path = os.getenv('CONFIG_PATH')
        with open(config_path, 'r') as file:
            config = json.load(file)
        return config