import gradio as ui; import requests; from requests.exceptions import Timeout
from io import BytesIO; from PIL import Image, ImageEnhance; import concurrent.futures, time

###################################################################################################################
# Import from modules
###################################################################################################################

from modules.service_endpoints import *
from modules.input_configs import *
from modules.styles_anime import *
from modules.models_anime import *
from modules.service_configs import *
from modules.engine_upscale_alt import *

###################################################################################################################
# Image generation process
###################################################################################################################

def gen_anime(prompt, model, style, size, quality):
    prompt = stella_anime[style].format(prompt=prompt)
    print(f"{receive()} -> {prompt}")
    
    data = {
        'model_version': (None, '1'),
        'prompt': (None, prompt),
        'style_id': (None, ckpt_anime[str(model)]),
        'negative_prompt': (None, 'hands, face, eyes, legs, (nsfw, naked, nude, sexy)'),
        'aspect_ratio': (None, ratio[str(size)]),
        'high_res_results': (None, '1'),
        'cfg': (None, '9.5'),
        'priority': (None, '1'),
    }
    
    try:
        response = requests.post(mode['generate'], headers=head, files=data, timeout=30)
        
        if len(response.content) < 65 * 1024:
            print(reject())
            return None
        
        print(done())
        
        if quality == 'Enhanced':
            print("better1 -> better output")
            better1 = ImageEnhance.Contrast(
                    ImageEnhance.Color(
                        ImageEnhance.Brightness(
                            ImageEnhance.Sharpness(
                                Image.open(BytesIO(response.content))
                            ).enhance(2.00)
                        ).enhance(1.05)
                    ).enhance(1.05)
                ).enhance(1.05)
            return better1
        
        if quality == 'Enhanced and Upscaled':
            print("better2 -> better upscaled output")
            better2 = ImageEnhance.Contrast(
                    ImageEnhance.Color(
                        ImageEnhance.Brightness(
                            ImageEnhance.Sharpness(
                                Image.open(BytesIO(response.content))
                            ).enhance(2.00)
                        ).enhance(1.05)
                    ).enhance(1.05)
                ).enhance(1.05)
            return upscale(better2)
       
        else:
            print("original -> raw output")
            original = Image.open(BytesIO(response.content))
            return original
        
    except Timeout:
        print(timeout())
        return None

###################################################################################################################
# 4 image for each generation
###################################################################################################################

def quads_anime(a, b, c, d, e, f, progress=ui.Progress()):
    quantities = int(f)
    result_list = [None] * quantities
    percent = 0

    with concurrent.futures.ThreadPoolExecutor() as executor:
        futures = []

        for i in range(quantities):
            future = executor.submit(lambda x: gen_anime(a, b, c, d, e), i)
            futures.append(future)
            multiplier = 0.99 / quantities
            percent += multiplier
            progress(percent, desc=f"Processing image {i + 1} of {quantities}")
            time.sleep(0.25)

    for i, future in enumerate(futures):
        result = future.result()
        result_list[i] = result

    successful_results = [result for result in result_list if result is not None]

    if len(successful_results) < quantities:
        if quantities == 1:
            ui.Warning(message=single_error)
        else:
            ui.Warning(message=quads_error)
    else:
        ui.Info(message=success)

    return successful_results