import gradio as gr
from collections import defaultdict
import random
import pandas as pd
import os
import cloudinary
import cloudinary.uploader
from cloudinary.utils import cloudinary_url
import io
import time
import requests



# Configuration
cloudinary.config(
    cloud_name = "dnzirogvb",
    api_key = os.environ["api_key"] ,
    api_secret = os.environ["api_secret"] ,
    secure=True
)

from datetime import datetime
import pytz

# Define the GMT+7 timezone
gmt_plus7 = pytz.timezone('Etc/GMT-7')  # 'Etc/GMT-7' represents GMT+7



def authenticate(user_id):

    url = "https://intern-api.imtaedu.com/api/subnets/2/authenticate"
    headers = {
        "Content-Type": "application/json",
        "Accept": "application/json",
        "X-Public-Api-Key": os.environ['ADMIN']
        }
    payload = { "token": user_id }
    response = requests.post(url, json=payload, headers=headers)

    return response.status_code == 200

def login(username, state, package):
    state[0] = username
    #package[0] = get_next_package(user_id=username)
    """
    #temp
    gr.Info("Login successfully. Welcome!")
    return f"Welcome, {username}!", gr.update(visible=False), gr.update(visible=True)
    #temp
    """
    
    # Authenticate user
    if authenticate(username):
        #user_sessions[username] = True
        gr.Info("Login successfully. Welcome!")
        return f"Welcome, {username}!", gr.update(visible=False), gr.update(visible=True)
    else:
        raise gr.Error("Token ID is invalid! Try again!")
        return "Invalid Token ID", gr.update(visible=True), gr.update(visible=False)

def logout(username):
    # Log out user and reset session
    if username in user_sessions:
        del user_sessions[username]
    gr.Warning("You need to login to access this subnet and do task ⛔️!", duration=5)
    return "Logged out. Please log in again.", gr.update(visible=True), gr.update(visible=False)

def get_image_bytes(image):
    if image is None:
        return "No image uploaded!"

    # Convert the image to bytes
    img_byte_arr = io.BytesIO()
    image.save(img_byte_arr, format='JPEG')  # Save as PNG or desired format
    img_bytes = img_byte_arr.getvalue()

    return img_bytes


# Define a function to handle image and text caption
def process_image_and_caption(username_input, image, caption):
    #check image 
    if image is None:
        gr.Warning("No image uploaded!", duration=5)
        return "No image uploaded!", image, caption

    # check caption
    if not caption.strip():
        gr.Warning("No caption uploaded!", duration=5)
        return "No caption uploaded!", image, caption
    # Get current time in GMT+7
    current_time = datetime.now(gmt_plus7)

    # Print the time
    time = current_time.strftime('-%Y-%m-%d-%H-%M-%S')
    name = username_input + time
    # Upload an image
    img_bytes = get_image_bytes(image)
    upload_image_result = cloudinary.uploader.upload(img_bytes, public_id = name, asset_folder = "image_for_captioning")


    # Upload caption
    # Convert to bytes
    caption_bytes = caption.encode('utf-8')
    # Create a byte array buffer (like a binary file stream)
    byte_buffer = io.BytesIO(caption_bytes)
    upload_caption_result = cloudinary.uploader.upload(byte_buffer, public_id = name, asset_folder = "caption", resource_type = "raw")
    send_score(username_input, 0.1)
    gr.Info("Submit successfully")
    return f'You just upload an Image with Caption: "{caption}" \nIntime {time}', None, None

def send_score(user_id, score):
    max_retries = 10
    while max_retries > 0:
        url = "https://intern-api.imtaedu.com/api/subnets/2/grade"

        payload = {
            "token": user_id,
            "comment": "Good job!",
            "grade": score,
            "submitted_at": "2021-01-01 00:00:00",
            "graded_at": "2021-01-01 00:00:00"
        }
        headers = {
            "Content-Type": "application/json",
            "Accept": "application/json",
            "X-Public-Api-Key": os.environ['ADMIN']
        }

        response = requests.post(url, json=payload, headers=headers)
        if response.status_code == 200:
            return True
        print(response)
        max_retries -= 1
    return False

# Define the Gradio interface
with gr.Blocks() as demo:
    state = gr.State([None])
    package = gr.State([None])
    # Login section
    with gr.Column(visible=True) as login_section:
        username_input = gr.Textbox(placeholder="Enter your token", label="Token ID", type="password")
        login_button = gr.Button("Login")
        login_output = gr.Textbox(label="Login Status", interactive=False)

     # Upload section  (initially hidden)
    with gr.Column(visible=False) as upload_section:
        gr.Markdown("""### Upload hình ảnh (image) kèm chú thích (captioning).
        - Chú ý: Ảnh phải rõ nét có nội dung, chú thích phải miêu tả chính xác nội dung của ảnh.""")
        with gr.Row():
            
            image_input = gr.Image(type="pil", label="Upload Image")
            caption_input = gr.Textbox(label="Enter Caption")

        submit_button = gr.Button("Submit")
        output = gr.Textbox(label="Output")

    # Button functions


    submit_button.click(
        process_image_and_caption,
        inputs=[username_input, image_input, caption_input],
        outputs=[output, image_input, caption_input]
    )
    caption_input.submit(
        process_image_and_caption,
        inputs=[username_input, image_input, caption_input],
        outputs=[output, image_input, caption_input]
    )

    
    username_input.submit(
        login, inputs=[username_input, state, package], outputs=[login_output, login_section, upload_section] #, translation_section, en_input, vi_input]
    )
    login_button.click(
        login, inputs=[username_input, state, package], outputs=[login_output, login_section, upload_section] #, translation_section, en_input, vi_input]
    )


demo.launch(debug=True)