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

# Environment variables
TRYON_URL = os.getenv('TRYON_URL')
TOKEN = os.getenv('TOKEN')
COOKIE = os.getenv('COOKIE')
REFERER = os.getenv('REFERER')

# Environment variables kontrolü
if not all([TRYON_URL, TOKEN, COOKIE, REFERER]):
    print("Warning: Some environment variables are missing!")
    print(f"TRYON_URL: {'Set' if TRYON_URL else 'Missing'}")
    print(f"TOKEN: {'Set' if TOKEN else 'Missing'}")
    print(f"COOKIE: {'Set' if COOKIE else 'Missing'}")
    print(f"REFERER: {'Set' if REFERER else 'Missing'}")

MAX_SEED = 999999

def tryon(person_img, garment_img, seed, randomize_seed):
    if not all([TRYON_URL, TOKEN, COOKIE, REFERER]):
        raise gr.Error("Server configuration is missing. Please contact administrator.")
        
    post_start_time = time.time()
    if person_img is None or garment_img is None:
        gr.Warning("Empty image")
        return None, None, "Empty image"
        
    if randomize_seed:
        seed = random.randint(0, MAX_SEED)
        
    try:
        # Resim kodlama
        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')

        # URL oluşturma
        if not TRYON_URL.startswith(('http://', 'https://')):
            base_url = f"https://{TRYON_URL}"
        else:
            base_url = TRYON_URL
            
        url = f"{base_url.rstrip('/')}/Submit"
        
        headers = {
            'Content-Type': 'application/json',
            'token': TOKEN,
            'Cookie': COOKIE,
            'referer': REFERER
        }
        
        data = {
            "clothImage": encoded_garment_img,
            "humanImage": encoded_person_img,
            "seed": seed
        }

        response = requests.post(url, headers=headers, data=json.dumps(data), timeout=50)
        print("post response code", response.status_code)
        
        if response.status_code == 200:
            result = response.json()['result']
            status = result['status']
            if status == "success":
                uuid = result['result']
                print(uuid)
        
    except Exception as err:
        print(f"Post Exception Error: {err}")
        raise gr.Error("Too many users, please try again later")
        
    post_end_time = time.time()
    print(f"post time used: {post_end_time-post_start_time}")

    get_start_time = time.time()
    time.sleep(9)
    Max_Retry = 12
    result_img = None
    info = ""
    err_log = ""
    
    for i in range(Max_Retry):
        try:
            query_url = f"{base_url.rstrip('/')}/Query?taskId={uuid}"
            response = requests.get(query_url, headers=headers, timeout=20)
            print("get response code", response.status_code)
            
            if response.status_code == 200:
                result = response.json()['result']
                status = result['status']
                if status == "success":
                    result = base64.b64decode(result['result'])
                    result_np = np.frombuffer(result, np.uint8)
                    result_img = cv2.imdecode(result_np, cv2.IMREAD_UNCHANGED)
                    result_img = cv2.cvtColor(result_img, cv2.COLOR_RGB2BGR)
                    info = "Success"
                    break
                elif status == "error":
                    err_log = f"Status is Error"
                    info = "Error"
                    break
            else:
                err_log = "URL error, please contact the admin"
                info = "URL error, please contact the admin"
                break
                
        except requests.exceptions.ReadTimeout:
            err_log = "Http Timeout"
            info = "Http Timeout, please try again later"
        except Exception as err:
            err_log = f"Get Exception Error: {err}"
        time.sleep(1)
        
    get_end_time = time.time()
    print(f"get time used: {get_end_time-get_start_time}")
    print(f"all time used: {get_end_time-get_start_time+post_end_time-post_start_time}")
    
    if info == "":
        err_log = f"No image after {Max_Retry} retries"
        info = "Too many users, please try again later"
    if info != "Success":
        print(f"Error Log: {err_log}")
        gr.Warning("Too many users, please try again later")

    return result_img, seed, info

def start_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)
        
    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')

    if not TRYON_URL.startswith(('http://', 'https://')):
        base_url = f"https://{TRYON_URL}"
    else:
        base_url = TRYON_URL

    headers = {
        'Content-Type': 'application/json',
        'token': TOKEN,
        'Cookie': COOKIE,
        'referer': REFERER
    }
    
    data = {
        "clothImage": encoded_garment_img,
        "humanImage": encoded_person_img,
        "seed": seed
    }

    result_img = None
    try:
        session = requests.Session()
        response = session.post(base_url, headers=headers, data=json.dumps(data), timeout=60)
        print("response code", response.status_code)
        if response.status_code == 200:
            result = response.json()['result']
            status = result['status']
            if status == "success":
                result = base64.b64decode(result['result'])
                result_np = np.frombuffer(result, np.uint8)
                result_img = cv2.imdecode(result_np, cv2.IMREAD_UNCHANGED)
                result_img = cv2.cvtColor(result_img, cv2.COLOR_RGB2BGR)
                info = "Success"
            else:
                info = "Try again later"
        else:
            print(response.text)
            info = "URL error, please contact the admin"
    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"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

with gr.Blocks(css=css) as Tryon:
    gr.HTML(load_description("assets/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")
            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")
            test_button = gr.Button(value="Run", elem_id="button")

    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
        )

# Uygulamayı başlat
Tryon.queue(api_open=False).launch(
    server_name="0.0.0.0",
    show_api=False,
    debug=True
)