import os
import csv
import json
import folder_paths
import uuid

class IFSaveText:
    def __init__(self):
        pass

    @classmethod
    def INPUT_TYPES(cls):
        return {
            "required": {
                "question_input": ("STRING", {"forceInput": True}),
                "response_input": ("STRING", {"forceInput": True}),
                "negative_input": ("STRING", {"forceInput": True}),
                #"turn": ("STRING", {"forceInput": True}),
            },
            "optional": {                
                "save_file": ("BOOLEAN", {"default": False, "label_on": "Save Text", "label_off": "Don't Save"}),
                "file_format": (["csv", "txt", "json"],),
                "save_mode": (["create", "overwrite", "append"],),
            },
            #"hidden": {"prompt": "PROMPT", "extra_pnginfo": "EXTRA_PNGINFO"},
        }

    RETURN_TYPES = ("STRING", "STRING", "STRING", "STRING",)
    RETURN_NAMES = ("Question", "Response", "Negative", "Turn",)
    FUNCTION = "process_text"
    OUTPUT_NODE = True
    CATEGORY = "ImpactFrames💥🎞️/IF_LLM"

    def process_text(self, question_input, negative_input, response_input, save_file=False, file_format="txt", save_mode="create"):
        turn_id = str(uuid.uuid4()) 
        turn_data = {"id": turn_id, "question": question_input, "response": response_input, "negative": negative_input}
        if save_file:
            self.save_text_to_file(turn_data, file_format, save_mode)

        turn = f"ID: {turn_id}\nQuestion: {question_input}\nResponse: {response_input}\nNegative: {negative_input}"
        return (question_input, response_input, negative_input, turn)

    def save_text_to_file(self, turn_data, file_format, save_mode):
        save_text_dir = os.path.join(folder_paths.base_path, "custom_nodes", "ComfyUI-IF_LLM", "IF_AI", "saved_outputs")
        os.makedirs(save_text_dir, exist_ok=True)
        file_path = os.path.join(save_text_dir, f"output.{file_format}")

        file_mode = "w" if save_mode in ["create", "overwrite"] else "a"

        if file_format == "csv":
            with open(file_path, file_mode, newline='') as csvfile:
                fieldnames = ['question', 'response']
                writer = csv.DictWriter(csvfile, fieldnames=fieldnames)

                if save_mode == "create" or save_mode == "overwrite":
                    writer.writeheader()
                writer.writerow(turn_data)

        elif file_format == "txt":
            with open(file_path, file_mode) as txtfile:
                txtfile.write(f"{turn_data}\n")

        elif file_format == "json":
            with open(file_path, file_mode) as jsonfile:
                if save_mode == "append":
                    try:
                        data = json.load(jsonfile)
                    except:
                        data = []
                    data.append(turn_data)
                    jsonfile.seek(0)
                else:
                    data = [turn_data]
                json.dump(data, jsonfile, indent=4)

    """@classmethod
    def IS_CHANGED(cls, turn_id, question_input, negative_input, response_input, turn, save_file, file_format, save_mode, unique_id=None, prompt=None, extra_pnginfo=None):
        turn = f"ID: {turn_id}\nQuestion: {question_input}\nResponse: {response_input}\nNegative: {negative_input}"
        return {"ui": {"string": [turn]}, "result": (turn,)}"""

NODE_CLASS_MAPPINGS = {"IF_LLM_SaveText": IFSaveText}
NODE_DISPLAY_NAME_MAPPINGS = {"IF_LLM_SaveText": "IF Save Text📝"}