import os
import shutil
import subprocess
import json
import time
from datetime import datetime
from PIL import Image


class API_Connection:
    def __init__(self, GD_connection, kaggle_username: str = "", kaggle_key: str = ""):
        os.environ["KAGGLE_USERNAME"] = kaggle_username
        os.environ["KAGGLE_KEY"] = kaggle_key

        self.GoogleDrive_connection = GD_connection

        self.PROJECT_PATH = r""
        self.NOTEBOOK_ID = "amirmoris/pix2pix"
        self.DATASET_NAME = "dataset"

    def execute_terminal_command(self, command: str):
        try:
            process = subprocess.Popen(
                command, shell=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE
            )
            output, error = process.communicate()
            output = str(output.decode("utf-8"))
            error = str(error.decode("utf-8"))
            print(rf"Command executed successfully: {command}")
            return output
        except Exception as e:
            return None, str(e)

    def correct_path(self, path: str):
        return path[1:] if path.startswith("\\") else path

    def create_folder(self, path: str):
        path = self.correct_path(path)
        if os.path.exists(path):
            shutil.rmtree(path)
        self.execute_terminal_command(rf"mkdir {path}")

    def pull_kaggle_notebook(self, notebook_path: str):
        command = rf"kaggle kernels pull {self.NOTEBOOK_ID} -p {notebook_path} -m"
        return self.execute_terminal_command(command)

    def push_kaggle_notebook(self, notebook_path: str):
        command = rf"kaggle kernels push -p {notebook_path}"
        return self.execute_terminal_command(command)

    def get_notebook_status(self):
        command = rf"kaggle kernels status {self.NOTEBOOK_ID}"
        return self.execute_terminal_command(command)

    def run(self, notebook_path: str):
        notebook_path = self.correct_path(notebook_path)
        self.pull_kaggle_notebook(notebook_path)
        return self.push_kaggle_notebook(notebook_path)

    def write_file(self, data: list, file_path: str, file_name: str = ""):
        if len(file_name) > 0:
            file_path = rf"{file_path}\{file_name}"

        file_path = self.correct_path(file_path)
        # Writing JSON data
        with open(file_path, "w") as file:
            for idx in range(len(data)):
                json_string = json.dumps(data[idx]) + (
                    "\n" if idx < len(data) - 1 else ""
                )
                file.write(json_string)

    def read_image(self, image_path: str):
        try:
            image = Image.open(image_path)
            return image
        except IOError:
            print("Unable to load image")
            return None

    def get_notebook_output(self, output_path: str):
        output_path = self.correct_path(output_path)
        command = rf"kaggle kernels output {self.NOTEBOOK_ID} -p {output_path}"
        return self.execute_terminal_command(command)

    def generate_image(
        self,
        input_image_name: str,
        edit_instruction: str,
        output_image_name: str,
    ):
        if len(input_image_name) == 0 or len(edit_instruction) == 0:
            return False, rf"Missing Input"

        if len(output_image_name) == 0:
            return False, rf"Missing Output"

        current_time = self.get_current_time()
        print(rf"Start Time : {current_time}")

        dataset_path = self.correct_path(rf"{self.PROJECT_PATH}\{self.DATASET_NAME}")
        notebook_path = self.correct_path(rf"{self.PROJECT_PATH}\notebook")

        self.create_folder(dataset_path)

        # copy image to the dataset
        shutil.copyfile(
            rf"local_dataset\{input_image_name}",
            rf"{dataset_path}\{input_image_name}",
        )

        data = [
            {
                "time": current_time,
                "status": "IDLE",
                "edit": edit_instruction,
                "input_image_path": input_image_name,
                "output_image_path": output_image_name,
            }
        ]

        self.write_file(data, dataset_path, "data.jsonl")
        # update dataset
        self.GoogleDrive_connection.upload_file(
            "data.jsonl", rf"{self.DATASET_NAME}\data.jsonl"
        )
        self.GoogleDrive_connection.upload_file(
            input_image_name, rf"{self.DATASET_NAME}\{input_image_name}"
        )

        # run notebook
        print(self.run(notebook_path))

        number_of_checks = 0
        while True:
            status = str(self.get_notebook_status()).replace("\n", "")
            print(rf"- status no #{number_of_checks} : {status}")
            number_of_checks += 1
            if "complete" in status:
                break

            if "error" in status:
                return False, "notebook status error"
            if "cancelAcknowledged" in status:
                return False, "notebook status cancelAcknowledged"
            time.sleep(120)

        # get output
        self.GoogleDrive_connection.download_file(
            output_image_name, rf"{dataset_path}\{output_image_name}"
        )
        output_image = self.read_image(rf"{dataset_path}\{output_image_name}")
        # clear input and output

        if output_image is None:
            return False, "An error occured while running, no output image found"

        return True, output_image

    def get_current_time(self):
        return str(datetime.now().strftime("%Y-%m-%d %H:%M:%S"))


def main():
    pass


if __name__ == "__main__":
    main()