android.py

import cv2
import pytesseract
from PIL import Image, ImageDraw, ImageFont
import numpy as np
import argparse
import io
import base64
import time
import logging
from concurrent.futures import ThreadPoolExecutor, TimeoutError

# Setup logging
logging.basicConfig(level=logging.INFO)
logger = logging.getLogger(__name__)

class AndroidEditor:
    def __init__(self, font_path="Roboto-Regular.ttf"):
        self.font_path = font_path

    def _perform_ocr(self, image_bytes):
        """Perform OCR with timeout"""
        def ocr_task():
            image_stream = io.BytesIO(image_bytes)
            pil_image = Image.open(image_stream).convert('RGB')
            image_array = np.array(pil_image)
            image_bgr = cv2.cvtColor(image_array, cv2.COLOR_RGB2BGR)
            height = image_bgr.shape[0]
            mid_point = height // 2
            image_bgr = image_bgr[:mid_point, :]
            return pytesseract.image_to_data(image_bgr, output_type=pytesseract.Output.DICT)

        try:
            with ThreadPoolExecutor(max_workers=1) as executor:
                future = executor.submit(ocr_task)
                result = future.result(timeout=30)  # 30 second timeout
                return result
        except TimeoutError:
            logger.error("OCR operation timed out")
            return None
        except Exception as e:
            logger.error(f"OCR error: {str(e)}")
            return None

    @staticmethod   
    def find_text_position(text_list, target_text, start_idx=0):
        """Mencari posisi teks target dalam list teks"""
        for i in range(start_idx, len(text_list)):
            if target_text in text_list[i]:
                return i
        return None

    @staticmethod
    def get_position_data(extracted_data, idx):
        """Mendapatkan data posisi dari indeks tertentu"""
        if idx is None or idx >= len(extracted_data['left']):
            return None
        return {
            "left": extracted_data['left'][idx],
            "top": extracted_data['top'][idx],
            "width": extracted_data['width'][idx],
            "height": extracted_data['height'][idx],
        }

    @staticmethod
    def is_dark_mode(bg_color):
        """Mendeteksi apakah background menggunakan dark mode berdasarkan kecerahan warna"""
        r, g, b = float(bg_color[0]), float(bg_color[1]), float(bg_color[2])
        brightness = (r * 299 + g * 587 + b * 114) / 1000
        return brightness < 128

    @staticmethod
    def parse_anggota(anggota_str, ocr_count=None):
        """Parse anggota parameter and handle + prefix for addition"""
        if anggota_str.startswith('+'):
            # If starts with +, add to existing OCR count
            if ocr_count is None:
                logger.error("OCR count is None, cannot perform addition")
                return None
            try:
                addition = int(anggota_str[1:])
                result = ocr_count + addition
                logger.info(f"Adding {addition} to OCR count {ocr_count} = {result}")
                return result
            except ValueError:
                logger.error(f"Invalid number format in anggota: {anggota_str}")
                return None
        else:
            # Direct number
            try:
                result = int(anggota_str)
                logger.info(f"Using direct anggota value: {result}")
                return result
            except ValueError:
                logger.error(f"Invalid number format in anggota: {anggota_str}")
                return None

    def process_image(self, image_path, anggota):
        start_time = time.time()
        image = cv2.imread(image_path)
        if image is None:
            logger.error("Failed to read image")
            return None
        
        # First, get the original OCR count for potential addition
        original_result = self._process_core(image, "0", show_preview=False, get_ocr_count_only=True)
        if original_result is None:
            logger.warning("Could not extract OCR count, using 0 as default")
            ocr_count = 0
        else:
            ocr_count = original_result
        
        # Parse anggota parameter
        parsed_anggota = self.parse_anggota(anggota, ocr_count)
        if parsed_anggota is None:
            logger.error("Invalid anggota parameter")
            return None
        
        result = self._process_core(image, str(parsed_anggota), show_preview=True)
        end_time = time.time()
        logger.info(f"Total processing time: {end_time - start_time:.2f} seconds")
        return result

    def process_image_bytes(self, image_bytes, anggota):
        start_time = time.time()
        image_stream = io.BytesIO(image_bytes)
        pil_image = Image.open(image_stream).convert('RGB')
        image = np.array(pil_image)
        
        # First, get the original OCR count for potential addition
        original_result = self._process_core(image, "0", show_preview=False, get_ocr_count_only=True)
        if original_result is None:
            logger.warning("Could not extract OCR count, using 0 as default")
            ocr_count = 0
        else:
            ocr_count = original_result
        
        # Parse anggota parameter
        parsed_anggota = self.parse_anggota(anggota, ocr_count)
        if parsed_anggota is None:
            logger.error("Invalid anggota parameter")
            return None, None
        
        result, theme = self._process_core(image, str(parsed_anggota), show_preview=False, return_theme=True)
        if result is not None:
            pil_result = Image.fromarray(result)
            output_io = io.BytesIO()
            pil_result.save(output_io, format='PNG')
            img_b64 = base64.b64encode(output_io.getvalue()).decode('utf-8')
            end_time = time.time()
            logger.info(f"Total processing time: {end_time - start_time:.2f} seconds")
            return img_b64, theme
        return None, None

    def _process_core(self, image, anggota, show_preview=False, return_theme=False, get_ocr_count_only=False):
        # Ensure image is in BGR format for OpenCV
        if len(image.shape) == 3 and image.shape[2] == 3:
            if image.dtype != np.uint8:
                image = image.astype(np.uint8)
        else:
            logger.error("Invalid image format")
            return None

        # Convert image to bytes for OCR
        _, img_encoded = cv2.imencode('.png', image)
        img_bytes = img_encoded.tobytes()
        
        # Perform OCR
        extracted_data = self._perform_ocr(img_bytes)
        if extracted_data is None:
            return None

        text_list = extracted_data['text']

        # Inisialisasi variabel posisi
        group_position = None
        split_position = None
        member_position = None
        member_count_position = None
        second_member_position = None
        second_member_count_position = None
        lang = ''

        group_idx = self.find_text_position(text_list, "Grup")
        if group_idx is None:
            group_idx = self.find_text_position(text_list, "Group")
        
        if group_idx is not None:
            lang = 'id' if "Grup" in text_list[group_idx] else 'en'
            group_position = self.get_position_data(extracted_data, group_idx)
            
            split_idx = self.find_text_position(text_list, "·", group_idx)
            if split_idx is None:
                for i in range(group_idx, min(group_idx + 4, len(text_list))):
                    if "-" in text_list[i]:
                        split_idx = i
                        break
            split_position = self.get_position_data(extracted_data, split_idx)
            
            member_idx = self.find_text_position(text_list, "anggota", group_idx)
            if member_idx is None:
                member_idx = self.find_text_position(text_list, "member", group_idx)
            member_position = self.get_position_data(extracted_data, member_idx)
            
            for i in range(group_idx, min(group_idx + 5, len(text_list))):
                if text_list[i].isdigit():
                    member_count_position = self.get_position_data(extracted_data, i)
                    break

            second_member_idx = self.find_text_position(text_list, "Anggota", group_idx + 4)
            if second_member_idx is not None:
                second_member_position = self.get_position_data(extracted_data, second_member_idx)
                for i in range(second_member_idx - 3, second_member_idx):
                    if i >= 0 and text_list[i].isdigit():
                        second_member_count_position = self.get_position_data(extracted_data, i)
                        break
        else:
            return None

        if member_position is None:
            return None

        # If only getting OCR count, return the original count
        if get_ocr_count_only:
            # Find the original member count from OCR
            for i in range(group_idx, min(group_idx + 5, len(text_list))):
                if text_list[i].isdigit():
                    try:
                        ocr_count = int(text_list[i])
                        logger.info(f"Found OCR count: {ocr_count}")
                        return ocr_count
                    except ValueError:
                        continue
            logger.warning("No valid OCR count found, returning 0")
            return 0

        # Mengambil warna dari pojok kanan layar, sedikit ke kiri
        image_width = image.shape[1]
        image_height = image.shape[0]
        x = image_width - 50  # 50 pixel dari pojok kanan (lebih ke kiri dari sebelumnya)
        y = image_height // 5
        bg_color = image[y, x]
        rgb = (int(bg_color[0]), int(bg_color[1]), int(bg_color[2]))
        # Visualisasi titik sampling warna
        
        is_dark = self.is_dark_mode(bg_color)
        theme = 'Dark Mode' if is_dark else 'Light Mode'
        text_color = (147,151,154,255) if is_dark else (90, 94, 95, 255)

        for position in [group_position, split_position, member_position, member_count_position, 
                        second_member_position, second_member_count_position]:
            if position:
                margin_horizontal = 10
                cv2.rectangle(
                    image,
                    (position['left'] - margin_horizontal, position['top'] - 5),
                    (position['left'] + position['width'] + margin_horizontal, position['top'] + position['height']),
                    rgb,
                    -1,
                )

        def adjust_font_size(draw, text, original_height, original_width, font_size):
            min_size = int(original_height * 1.4)  # Increased from 1.2
            max_size = int(original_height * 2.2)  # Increased from 2.0
            max_iterations = 5  # Reduced from 10
            iteration = 0
            
            while min_size <= max_size and iteration < max_iterations:
                font = ImageFont.truetype(self.font_path, font_size)
                text_bbox = draw.textbbox((0, 0), text, font=font)
                text_height = text_bbox[3] - text_bbox[1]
                text_width = text_bbox[2] - text_bbox[0]
                
                if abs(text_height - original_height) <= 4 and text_width <= original_width * 1.4:  # Increased tolerance and width limit
                    break
                
                if text_height > original_height or text_width > original_width * 1.4:
                    font_size = int(font_size * 0.961)  # More gradual reduction
                else:
                    font_size = int(font_size * 1.02)  # More gradual increase
                
                font_size = max(min_size, min(max_size, font_size))
                iteration += 1
            
            return font_size, text_bbox

        if member_count_position:
            updated_member_count = {
                'id': f"Grup · {anggota} anggota",
                'en': f"Group · {anggota} members"
            }.get(lang)

            original_height = member_count_position['height']
            original_width = member_count_position['width']
            
            font_size = int(original_height * 1.8)  # Increased from 1.6
            image_pil = Image.fromarray(image)
            draw = ImageDraw.Draw(image_pil)
            
            font_size, text_bbox = adjust_font_size(draw, updated_member_count, original_height, original_width, font_size)
            font = ImageFont.truetype(self.font_path, font_size)
            
            text_width = text_bbox[2] - text_bbox[0]
            image_width = image.shape[1]
            text_x = (image_width - text_width) // 2
            text_y = member_count_position['top'] - 5
            
            draw.text((text_x, text_y), updated_member_count, font=font, fill=text_color)
            image = np.array(image_pil)

        if second_member_count_position:
            updated_second_member_count = {
                'id': f"{anggota} Anggota",
                'en': f"{anggota} Members"
            }.get(lang)

            original_height = second_member_count_position['height']
            original_width = second_member_count_position['width']
            
            font_size = int(original_height * 1.8)  # Increased from 1.6
            image_pil = Image.fromarray(image)
            draw = ImageDraw.Draw(image_pil)
            
            font_size, text_bbox = adjust_font_size(draw, updated_second_member_count, original_height, original_width, font_size)
            font = ImageFont.truetype(self.font_path, font_size)
            
            text_width = text_bbox[2] - text_bbox[0]
            text_x = second_member_count_position['left']
            text_y = second_member_count_position['top'] - 5
            
            draw.text((text_x, text_y), updated_second_member_count, font=font, fill=text_color)
            image = np.array(image_pil)

        # cv2.imwrite('output.png', image)
        # if show_preview:
        #     cv2.imshow('Preview (Tekan q untuk keluar)', image)
        #     while True:
        #         key = cv2.waitKey(1) & 0xFF
        #         if key == ord('q'):
        #             break
        #     cv2.destroyAllWindows()

        # Return result
        result = image if not return_theme else (image, theme)
        return result

if __name__ == '__main__':
    parser = argparse.ArgumentParser(description='Proses gambar grup')
    parser.add_argument('image_path', help='Path ke file gambar')
    parser.add_argument('anggota', help='Jumlah anggota (bisa menggunakan + untuk menambah ke jumlah yang ada, contoh: +5 untuk menambah 5)')
    
    args = parser.parse_args()
    editor = AndroidEditor()
    editor.process_image(args.image_path, args.anggota)

# Contoh penggunaan:
# python android.py image.png 10        # Set jumlah anggota menjadi 10
# python android.py image.png +5        # Tambah 5 ke jumlah anggota yang ada di OCR
# python android.py image.png +10       # Tambah 10 ke jumlah anggota yang ada di OCR