import cv2
import numpy as np
import os

from CPR_Module.Common.logging_config import cpr_logger

class WarningsOverlayer:
    def __init__(self):
        # Single drawer configuration
        self.DRAWER_CONFIG = {
            "base_position": (0.05, 0.15),  # 5% from left, 15% from top
            "vertical_spacing": 0.06  # 6% of frame height between warnings
        }

        # Warning config (colors only)
        self.WARNING_CONFIG = {
            # Posture Warnings
            "Right arm bent!": {"color": (52, 110, 235)},
            "Left arm bent!": {"color": (52, 110, 235)},
            "Left hand not on chest!": {"color": (161, 127, 18)},
            "Right hand not on chest!": {"color": (161, 127, 18)},
            "Both hands not on chest!": {"color": (161, 127, 18)},
            
            # Rate/Depth Warnings
            "Depth too low!": {"color": (125, 52, 235)},
            "Depth too high!": {"color": (125, 52, 235)},
            "Rate too slow!": {"color": (235, 52, 214)},
            "Rate too fast!": {"color": (235, 52, 214)}
        }
    
    def add_warnings_to_processed_video(self, video_output_path, sampling_interval_frames, rate_and_depth_warnings, posture_warnings):
        """Process both warning types with identical handling"""
        cpr_logger.info("\n[POST-PROCESS] Starting warning overlay")
        
        # Read processed video with original parameters
        cap = cv2.VideoCapture(video_output_path)
        if not cap.isOpened():
            cpr_logger.info("[ERROR] Failed to open processed video")
            return

        # Get original video properties
        original_fourcc = int(cap.get(cv2.CAP_PROP_FOURCC))
        processed_fps = cap.get(cv2.CAP_PROP_FPS)
        width = int(cap.get(cv2.CAP_PROP_FRAME_WIDTH))
        height = int(cap.get(cv2.CAP_PROP_FRAME_HEIGHT))
        
        # Create final writer with ORIGINAL codec and parameters
        base = os.path.splitext(video_output_path)[0]
        final_path = os.path.abspath(f"{base}_final.mp4")
        writer = cv2.VideoWriter(final_path, original_fourcc, processed_fps, (width, height))

        # Combine all warnings into unified list
        all_warnings = []
        
        for entry in posture_warnings:
            if warnings := entry.get('posture_warnings'):
                start = entry['start_frame'] // sampling_interval_frames
                end = entry['end_frame'] // sampling_interval_frames
                all_warnings.append((int(start), int(end), warnings))
        
        for entry in rate_and_depth_warnings:
            if warnings := entry.get('rate_and_depth_warnings'):
                start = entry['start_frame'] // sampling_interval_frames
                end = entry['end_frame'] // sampling_interval_frames
                all_warnings.append((int(start), int(end), warnings))

        # Screenshot tracking
        os.makedirs("screenshots", exist_ok=True)
        screenshot_counts = {}

        # Warnings to skip for screenshots
        skip_warnings = {
            "Depth too low!",
            "Depth too high!",
            "Rate too slow!",
            "Rate too fast!"
        }

        # Video processing loop
        frame_idx = 0
        while True:
            ret, frame = cap.read()
            if not ret: 
                break
            
            active_warnings = []
            for start, end, warnings in all_warnings:
                if start <= frame_idx <= end:
                    active_warnings.extend(warnings)
            
            # Draw and optionally screenshot active warnings
            self._draw_warnings(frame, active_warnings)

            for warning_text in set(active_warnings):
                if warning_text in skip_warnings:
                    continue
                count = screenshot_counts.get(warning_text, 0)
                if count < 2:
                    screenshot_path = os.path.join("screenshots", f"{warning_text.replace(' ', '_')}_{frame_idx}.jpg")
                    cv2.imwrite(screenshot_path, frame)
                    screenshot_counts[warning_text] = count + 1

            writer.write(frame)
            frame_idx += 1
        
        cap.release()
        writer.release()
        cpr_logger.info(f"\n[POST-PROCESS] Final output saved to: {final_path}")

    def _draw_warnings(self, frame, active_warnings):
        """Draw all warnings in a single vertical drawer"""
        frame_height = frame.shape[0]
        frame_width = frame.shape[1]
        
        # Calculate starting position
        base_x = int(self.DRAWER_CONFIG["base_position"][0] * frame_width)
        current_y = int(self.DRAWER_CONFIG["base_position"][1] * frame_height)
        
        # Calculate spacing between warnings
        y_spacing = int(self.DRAWER_CONFIG["vertical_spacing"] * frame_height)

        # Draw all active warnings vertically
        for warning_text in active_warnings:
            if color := self.WARNING_CONFIG.get(warning_text, {}).get("color"):
                # Draw warning at current position
                self._draw_warning_banner(
                    frame=frame,
                    text=warning_text,
                    color=color,
                    position=(base_x, current_y))
                
                # Move down for next warning
                current_y += y_spacing
    
    def _draw_warning_banner(self, frame, text, color, position):
            """Base drawing function for warning banners"""
            (text_width, text_height), _ = cv2.getTextSize(
                text, cv2.FONT_HERSHEY_SIMPLEX, 0.8, 2)
            
            x, y = position
            # Background rectangle
            cv2.rectangle(frame, 
                        (x - 10, y - text_height - 10),
                        (x + text_width + 10, y + 10),
                        color, -1)
            # Text
            cv2.putText(frame, text, (x, y),
                    cv2.FONT_HERSHEY_SIMPLEX, 0.8, (255, 255, 255), 2)