import gradio as gr
import requests
import os
import re

# WARNING: It is not recommended to hardcode sensitive data like API tokens in code.
# Consider using environment variables or other secure methods for production applications.
API_URL = "https://deployment.datasaur.ai/api/deployment/8/2723/chat/completions"
API_TOKEN = os.environ["DATASAUR_API_KEY"]

import re
import json

def extract_suggestion_value(text):
    """
    Extracts the value of the 'suggestion' key from a given string that may contain JSON-like content.

    Parameters:
        text (str): Input text containing a JSON-like 'suggestion' field.

    Returns:
        dict: Dictionary with the 'suggestion' key and its extracted value, or None if not found.
    """
    # First, try to directly parse as JSON
    try:
        parsed = json.loads(text)
        if "suggestion" in parsed:
            return {"suggestion": parsed["suggestion"]}
    except json.JSONDecodeError:
        pass  # Fall back to regex if not valid JSON

    # Fallback: use regex to extract suggestion value
    match = re.search(r'"suggestion"\s*:\s*"([^"]+)"', text)
    if match:
        return {"suggestion": match.group(1)}

    return None

        
def magic_function(input_text):
    """
    Sends text to the Datasaur deployment API and returns the processed text.
    """
    headers = {
        "Content-Type": "application/json",
        "Authorization": f"Bearer {API_TOKEN}",
    }
    data = {
        "messages": [{"role": "user", "content": f"Input: `{input_text}`"}]
    }
    
    try:
        response = requests.post(API_URL, headers=headers, json=data)
        response.raise_for_status()  # Raise an exception for bad status codes (4xx or 5xx)
        
        response_json = response.json()
        
        # Extract content from a standard chat completion response structure.
        # This may need adjustment if the API has a different format.
        content = response_json.get("choices", [{}])[0].get("message", {}).get("content", "Error: Could not parse response.")

        print(content)
        
        content = extract_suggestion_value(content)

        print("----")

        print(content)

        return content
        
    except requests.exceptions.RequestException as e:
        return f"API Request Error: {e}"
    except (ValueError, KeyError, IndexError):
        # Handle cases where response is not valid JSON or structure is unexpected
        return f"Error processing API response: {response.text}"

def handle_magic_click(current_text):
    """
    When the magic button is clicked, this function gets the improved text,
    and returns the new and previous text to update the UI.
    It also makes the "Previous Text" box visible.
    """
    improved_text = magic_function(current_text)
    return improved_text, current_text, gr.update(visible=True)


with gr.Blocks() as demo:
    gr.Markdown("# Time Entry Improvement")
    with gr.Row():
        with gr.Column(scale=4):
            text_area = gr.Textbox(label="Your Text", lines=5)
            previous_text_area = gr.Textbox(label="Previous Text", lines=5, visible=False)
        with gr.Column(scale=1):
            magic_button = gr.Button("Magic Button")

    magic_button.click(
        fn=handle_magic_click,
        inputs=text_area,
        outputs=[text_area, previous_text_area, previous_text_area]
    )

if __name__ == "__main__":
    demo.launch()