import os
import numpy as np
import cv2
import gradio as gr
import webbrowser
import threading
from typing import Dict, Any
from vision_agent.tools import (
    load_image,
    save_image,
    overlay_bounding_boxes,
    ocr
)

def analyze_pills(image_path: str) -> Dict[str, Any]:
    
    # Load the image
    image = load_image(image_path)

    # Perform OCR to detect text
    detections = ocr(image)
    detected_texts = [d['label'] for d in detections]

    # Initialize drug description
    drug_description = "No description found."
    if detected_texts:
        drug_description = f"Click the button below to search for: {''.join(detected_texts)}"

    # Prepare bounding boxes for visualization
    boxes_for_overlay = [
        {
            'label': f"{d['label']}",
            'score': d['score'],
            'bbox': d['bbox']  # Already normalized coordinates
        }
        for d in detections
    ]

    # Create and save annotated image
    annotated_image = overlay_bounding_boxes(image, boxes_for_overlay)
    save_image(annotated_image, "annotated_pills.jpg")

    return detected_texts, annotated_image, drug_description

def open_split_window(url):
    """Opens the Drugs.com search in a new window."""
    threading.Thread(target=lambda: webbrowser.open(url, new=1)).start()

def search_drug_online(imprint_text: list):
    """Opens a web search for the given pill imprint in a window."""
    if imprint_text:
        combined_query = ''.join(imprint_text)
        search_url = f"https://www.drugs.com/search.php?searchterm={combined_query}"
        open_split_window(search_url)
        return f"Searching online for: {combined_query}"
    return "No imprint text available."

# Gradio Interface
with gr.Blocks() as app:
    gr.Markdown("## 🏥 **Pill Analysis Tool**")
    gr.Markdown("Upload an image of a pill to detect imprint text.")

    with gr.Row():
        image_input = gr.Image(type="filepath", label="Upload Pill Image")
        output_text = gr.Textbox(label="Detected Imprint Text")
        output_description = gr.Textbox(label="Drug Identifiers")
    
    image_output = gr.Image(label="Annotated Image with Text Detection")
    analyze_button = gr.Button("Analyze Pill")
    search_button = gr.Button("Search Drug Info - New Browser Tab will Open")
    
    analyze_button.click(
        fn=analyze_pills, 
        inputs=image_input, 
        outputs=[output_text, image_output, output_description]
    )
    
    search_button.click(
        fn=search_drug_online, 
        inputs=[output_text], 
        outputs=output_description
    )

app.launch()