"""
This script orchestrates the design process by utilizing the DesignAssistant and DesignProcess classes.
It extracts design parameters using the DesignAssistant and applies them using the DesignProcess.
"""
from .sk_render_ai import DesignAssistant
from .render_app import DesignProcess
import requests
import time



def flow(image_path, output_path, user_prompt="", design_type="Interior", ai_intervention="Mid", no_design=1, house_angle=None, garden_type=None, internal_prompt=None, design_style=None):
    """
    Orchestrates the design process by extracting design parameters and applying them.

    Args:
        user_prompt (str): The prompt provided by the user to generate design parameters.
        image_path (str): The path to the input image for the design process.
        output_path (str): The path where the output image will be saved.

    Returns:
        str: The path to the saved output image if successful, or an error message if failed.
    """

    
    try:
        # print all args
        print("=====Flow SR function=====")
        print("User Prompt: ", user_prompt, "Image Path: ", image_path, "Output Path: ", output_path, "Design Type: ", design_type, "AI Intervention: ", ai_intervention, "No Design: ", no_design, "House Angle: ", house_angle, "Garden Type: ", garden_type, "Internal Prompt: ", internal_prompt, "Design Style: ", design_style)
        print("=============================")
        # Extract design parameters using render_ai.py
        if design_style is None:
            assistant = DesignAssistant()
            thread = assistant.create_thread()
            _user_prompt = f"The information can be in italian aswell, so choose the closest values from the above lists for the dict's values as the response will be always in english.\n{user_prompt}"
            message = assistant.create_message(thread.id, _user_prompt)
            run = assistant.run_and_poll(thread.id)

            if run.status == 'completed':
                messages = assistant.get_messages(thread.id)
                design_info = eval(messages.data[0].content[0].text.value)  # Assuming the response is a dict in string format
                # Debugging information
                print(design_info)
                print(type(design_info))
                print(design_info.keys())   
                print("---------------------------------------------")
            else:
                print("Failed to extract design information.")
                return
        else:
            design_info = {
                'design_style': design_style,
                'room_type': None
            }

        # Use the extracted design parameters in render_app.py
        design_process = DesignProcess(
            image_path=image_path,
            design_style=design_info['design_style'],
            room_type=design_info['room_type'],
            design_type=design_type,
            ai_intervention=ai_intervention,
            no_design=no_design,
            house_angle=house_angle,
            garden_type=garden_type,
            internal_prompt=internal_prompt
        )
        
        response = design_process.start_process()
        print(response)
        # request_id = response['id']
        # print(request_id)
        # print(type(request_id))

        if 'success' in response:
            print("Design process completed successfully. Image saved as new_design.jpg.")
            print("---------------------------------------------")
        
            print(response['success']['generated_image'])

            image_data = requests.get(response['success']['generated_image'][0]).content
            with open(output_path, "wb") as f:
                f.write(image_data)
            print("Design process completed successfully. Image saved as new_design.jpg.")
            return output_path
        else:
            print("Design process failed.")

        # while True:
        #     status = design_process.check_status(request_id)
        #     print(status)  # Prints the status of the redesign request
        #     # Wait for the process to complete or fail

        #     if status['status'] in ['succeeded', 'error']:
        #         break

        #     time.sleep(7)

        # if status.get('status') == 'succeeded':
        #     image_url = status['output'][0]  # Assuming you want the first image
        #     # Save the image to the specified output path
        #     image_data = requests.get(image_url).content
        #     with open(output_path, "wb") as f:
        #         f.write(image_data)
        #     print("Design process completed successfully. Image saved as new_design.jpg.")
        #     return output_path
        # else:
        #     print("Design process failed.")
        #     return "Design process failed."
        
    except Exception as e:
        raise




if __name__ == "__main__":

    flow(
    image_path = "sketch_bedroom.jpg",
    output_path = "new_design.jpg",
        design_type = "Interior",
        ai_intervention = "Mid",
            no_design = 1,
            house_angle = None,
                garden_type = None,
                    user_prompt = "I want to generate a design for a scandanavian bedroom")