import streamlit as st
from processor import process_frame, process_image, process_video
import os
from PIL import Image
import tempfile
import cv2
from streamlit_webrtc import VideoTransformerBase, webrtc_streamer, WebRtcMode, ClientSettings
import av
import asyncio

# Configure Streamlit page
st.set_page_config(page_title="🚦 Traffic Violation Detection", layout="wide")

st.title("🚦 Traffic Violation Detection App")

# Sidebar for selection
st.sidebar.title("Choose an Option")
option = st.sidebar.radio("Select the processing type:", ("Image", "Video", "Live Camera"))

if option == "Image":
    st.header("🖼️ Image Processing")
    uploaded_file = st.file_uploader("Upload an image", type=["jpg", "jpeg", "png"])
    
    if uploaded_file is not None:
        # Save the uploaded image to a temporary file
        with tempfile.NamedTemporaryFile(delete=False, suffix=".jpg") as temp_image:
            temp_image.write(uploaded_file.read())
            temp_image_path = temp_image.name

        # Display the uploaded image
        st.image(uploaded_file, caption='Uploaded Image.', use_column_width=True)

        # Process the image
        if st.button("Process Image"):
            with st.spinner("Processing..."):
                font_path = "fonts/alfont_com_arial-1.ttf"  # Update the path as needed
                processed_image = process_image(temp_image_path, font_path)
                if processed_image is not None:
                    # Convert the processed image to RGB
                    processed_image_rgb = cv2.cvtColor(processed_image, cv2.COLOR_BGR2RGB)
                    st.image(processed_image_rgb, caption='Processed Image.', use_column_width=True)

                    # Save processed image to a temporary file
                    result_image = Image.fromarray(processed_image_rgb)
                    with tempfile.NamedTemporaryFile(delete=False, suffix=".jpg") as tmp:
                        result_image.save(tmp.name)
                        tmp_path = tmp.name

                    # Download button
                    with open(tmp_path, "rb") as file:
                        btn = st.download_button(
                            label="📥 Download Processed Image",
                            data=file,
                            file_name="processed_image.jpg",
                            mime="image/jpeg"
                        )
                else:
                    st.error("Failed to process the image.")

elif option == "Video":
    st.header("🎥 Video Processing")
    video_files = [f for f in os.listdir("videos") if f.endswith(('.mp4', '.avi', '.mov'))]
    
    if not video_files:
        st.warning("No predefined videos found in the 'videos/' directory.")
    else:
        selected_video = st.selectbox("Select a video to process:", video_files)
        video_path = os.path.join("videos", selected_video)

        st.video(video_path)

        if st.button("Process Video"):
            with st.spinner("Processing..."):
                font_path = "fonts/alfont_com_arial-1.ttf"  # Update the path as needed
                processed_video_path = process_video(video_path, font_path)
                if processed_video_path and os.path.exists(processed_video_path):
                    st.success("Video processed successfully!")
                    st.video(processed_video_path)

                    # Provide download button
                    with open(processed_video_path, "rb") as file:
                        btn = st.download_button(
                            label="📥 Download Processed Video",
                            data=file,
                            file_name="processed_video.mp4",
                            mime="video/mp4"
                        )
                else:
                    st.error("Failed to process the video.")

elif option == "Live Camera":
    st.header("📷 Live Camera Processing")
    st.warning("Live camera processing is in progress. Please allow camera access.")

    # Define settings for WebRTC
    WEBRTC_CLIENT_SETTINGS = ClientSettings(
        rtc_configuration={"iceServers": [{"urls": ["stun:stun.l.google.com:19302"]}]},
        media_stream_constraints={"video": True, "audio": False},
    )

    class VideoTransformer(VideoTransformerBase):
        def __init__(self):
            self.font_path = "fonts/alfont_com_arial-1.ttf"  # Update the path as needed

        def transform(self, frame):
            img = frame.to_ndarray(format="bgr24")
            processed_img = process_frame(img, self.font_path)
            if processed_img is not None:
                return processed_img
            return img

    webrtc_ctx = webrtc_streamer(
        key="live-camera",
        mode=WebRtcMode.SENDRECV,
        client_settings=WEBRTC_CLIENT_SETTINGS,
        video_transformer_factory=VideoTransformer,
        async_transform=True,
    )

    st.info("Live camera feed is being processed. Detected violations will be annotated on the video stream.")