import gradio as gr
import cv2
import os
import sys

# Add services path
sys.path.append(os.path.join(os.path.dirname(__file__), "services"))

from video_service import get_video_frame
from detection_service import detect_objects
from thermal_service import detect_thermal_anomalies
from shadow_detection import detect_shadow_coverage
from salesforce_dispatcher import send_to_salesforce

# Initialize video reader from sample video
frame_generator = get_video_frame("data/sample_pole_video.mp4")

def detect_faults():
    try:
        frame = next(frame_generator)
        if frame is None:
            return None  # Gradio will skip frame

        # Save temporary frame
        temp_path = "temp.jpg"
        cv2.imwrite(temp_path, frame)

        # Fault detection
        intrusion = detect_objects(temp_path)
        thermal = detect_thermal_anomalies(temp_path)
        shadow = detect_shadow_coverage(temp_path)

        # Print for debugging
        print("Intrusion:", intrusion)
        print("Thermal:", thermal)
        print("Shadow:", shadow)

        # Send to Salesforce mock
        send_to_salesforce({
            "detections": intrusion,
            "thermal": thermal,
            "shadow_issue": shadow
        })

        return frame
    except StopIteration:
        return None

gr.Interface(
    fn=detect_faults,
    inputs=[],
    outputs="image",
    title="VIEP Live Fault Detection (Simulated)",
    live=True
).launch()