import os
import requests
import json
import base64
import cv2
import numpy as np
import time
import random

MAX_SEED = 1000000

def tryon(person_img, garment_img, seed, randomize_seed):
    start_time = time.time()
    if person_img is None or garment_img is None:
        return None, None, "Empty image"
    
    if randomize_seed:
        seed = random.randint(0, MAX_SEED)

    # Encode images
    encoded_person_img = cv2.imencode('.jpg', cv2.cvtColor(person_img, cv2.COLOR_RGB2BGR))[1].tobytes()
    encoded_person_img = base64.b64encode(encoded_person_img).decode('utf-8')
    encoded_garment_img = cv2.imencode('.jpg', cv2.cvtColor(garment_img, cv2.COLOR_RGB2BGR))[1].tobytes()
    encoded_garment_img = base64.b64encode(encoded_garment_img).decode('utf-8')

    # Pixelcut API setup
    url = "https://api.developer.pixelcut.ai/v1/remove-background"
    pixelcut_api_key = os.environ.get('PIXELCUT_API_KEY')

    headers = {
        'Content-Type': 'application/json',
        'X-API-KEY': pixelcut_api_key
    }

    data = {
        "clothImage": encoded_garment_img,
        "humanImage": encoded_person_img,
        "seed": seed
    }

    result_img = None
    max_retries = 5
    retry_delay = 5

    try:
        session = requests.Session()

        # Retry loop for "Too many users" error
        for attempt in range(max_retries):
            response = session.post(url, headers=headers, data=json.dumps(data), timeout=60)
            print("Response code:", response.status_code)

            if response.status_code == 200:
                result = response.json().get('result', {})
                status = result.get('status', '')

                if status == "success":
                    result_data = base64.b64decode(result['result'])
                    result_np = np.frombuffer(result_data, np.uint8)
                    result_img = cv2.imdecode(result_np, cv2.IMREAD_UNCHANGED)
                    result_img = cv2.cvtColor(result_img, cv2.COLOR_RGB2BGR)
                    info = "Success"
                    break
                else:
                    info = "Try again later"
            else:
                print("Full response:", response.text)
                if "Too many users" in response.text:
                    print(f"Attempt {attempt + 1}/{max_retries}: API busy. Retrying in {retry_delay} seconds...")
                    time.sleep(retry_delay)
                else:
                    info = f"Error: {response.status_code} - {response.text}"
                    break

        else:
            info = "API still overloaded — please try again later."

    except requests.exceptions.ReadTimeout:
        print("Timeout")
        info = "Too many users, please try again later"
        raise gr.Error("Too many users, please try again later")

    except Exception as err:
        print(f"Other error: {err}")
        info = "Error, please contact the admin"

    end_time = time.time()
    print(f"Time used: {end_time - start_time}")

    return result_img, seed, info



example_path = os.path.join(os.path.dirname(__file__), 'assets')

garm_list = os.listdir(os.path.join(example_path,"cloth"))
garm_list_path = [os.path.join(example_path,"cloth",garm) for garm in garm_list]

human_list = os.listdir(os.path.join(example_path,"human"))
human_list_path = [os.path.join(example_path,"human",human) for human in human_list]

css="""
#col-left {
    margin: 0 auto;
    max-width: 430px;
}
#col-mid {
    margin: 0 auto;
    max-width: 430px;
}
#col-right {
    margin: 0 auto;
    max-width: 430px;
}
#col-showcase {
    margin: 0 auto;
    max-width: 1100px;
}
#button {
    color: blue;
}
"""

def load_description(fp):
    with open(fp, 'r', encoding='utf-8') as f:
        content = f.read()
    return content

def change_imgs(image1, image2):
    return image1, image2

with gr.Blocks(css=css) as Tryon:
    gr.HTML(load_description("assets/new_title.md"))
    with gr.Row():
        with gr.Column(elem_id = "col-left"):
            gr.HTML("""
            <div style="display: flex; justify-content: center; align-items: center; text-align: center; font-size: 20px;">
                <div>
                Step 1.  Upload a person image ⬇️
                </div>
            </div>
            """)
        with gr.Column(elem_id = "col-mid"):
            gr.HTML("""
            <div style="display: flex; justify-content: center; align-items: center; text-align: center; font-size: 20px;">
                <div>
                Step 2. Upload a garment image ⬇️
                </div>
            </div>
            """)
        with gr.Column(elem_id = "col-right"):
            gr.HTML("""
            <div style="display: flex; justify-content: center; align-items: center; text-align: center; font-size: 20px;">
                <div>
                Step 3. Press “Run” to get try-on results
                </div>
            </div>
            """)
    with gr.Row():
        with gr.Column(elem_id = "col-left"):
            imgs = gr.Image(label="Person image", sources='upload', type="numpy")
            # category = gr.Dropdown(label="Garment category", choices=['upper_body', 'lower_body', 'dresses'],  value="upper_body")
            example = gr.Examples(
                inputs=imgs,
                examples_per_page=12,
                examples=human_list_path
            )
        with gr.Column(elem_id = "col-mid"):
            garm_img = gr.Image(label="Garment image", sources='upload', type="numpy")
            example = gr.Examples(
                inputs=garm_img,
                examples_per_page=12,
                examples=garm_list_path
            )
        with gr.Column(elem_id = "col-right"):
            image_out = gr.Image(label="Result", show_share_button=False)
            with gr.Row():
                seed = gr.Slider(
                    label="Seed",
                    minimum=0,
                    maximum=MAX_SEED,
                    step=1,
                    value=0,
                )
                randomize_seed = gr.Checkbox(label="Random seed", value=True)
            with gr.Row():
                seed_used = gr.Number(label="Seed used")
                result_info = gr.Text(label="Response")
            # try_button = gr.Button(value="Run", elem_id="button")
            test_button = gr.Button(value="Run", elem_id="button")


    # try_button.click(fn=start_tryon, inputs=[imgs, garm_img, seed, randomize_seed], outputs=[image_out, seed_used, result_info], api_name='tryon',concurrency_limit=10)
    test_button.click(fn=tryon, inputs=[imgs, garm_img, seed, randomize_seed], outputs=[image_out, seed_used, result_info], api_name=False, concurrency_limit=45)

    with gr.Column(elem_id = "col-showcase"):
        gr.HTML("""
        <div style="display: flex; justify-content: center; align-items: center; text-align: center; font-size: 20px;">
            <div> </div>
            <br>
            <div>
            Virtual try-on examples in pairs of person and garment images
            </div>
        </div>
        """)
        show_case = gr.Examples(
            examples=[
                ["assets/examples/model2.png", "assets/examples/garment2.png", "assets/examples/result2.png"],
                ["assets/examples/model3.png", "assets/examples/garment3.png", "assets/examples/result3.png"],
                ["assets/examples/model1.png", "assets/examples/garment1.png", "assets/examples/result1.png"],
            ],
            inputs=[imgs, garm_img, image_out],
            label=None
        )

Tryon.queue(api_open=False).launch(show_api=False)