optima35/optima/optima35.py

import re
import os
from datetime import datetime
from optima.image_handler import ImageProcessor, ExifHandler

class OPTIMA35:
    def __init__(self):
        self.name = "OPTIMA-35"
        self.version = "0.5.0"
        self.image_processor = ImageProcessor()
        self.exif_handler = ExifHandler()

    def modify_timestamp_in_exif(self, data_for_exif: dict, filename: str):
            """"Takes a dict formated for exif use by piexif and adjusts the date_time_original, changing the minutes and seconds to fit the number of the filname."""
            last_tree = filename[-3:len(filename)]
            total_seconds = int(re.sub(r'\D+', '', last_tree))
            minutes = total_seconds // 60
            seconds = total_seconds % 60
            time = datetime.strptime(data_for_exif["date_time_original"], "%Y:%m:%d %H:%M:%S") # change date time string back to an time object for modification
            new_time = time.replace(hour=12, minute=minutes, second=seconds)
            data_for_exif["date_time_original"] = new_time.strftime("%Y:%m:%d %H:%M:%S")
            return data_for_exif

    def process_image(self,
        image_input_file,
        image_output_file,
        file_type,
        quality,
        compressing,
        optimize,
        resize = None,
        watermark = None,
        font_size = 2,
        grayscale = False,
        brightness = None,
        contrast = None,
        dict_for_exif = None,
        gps = None,
        copy_exif = False):
        # Partly optimized by ChatGPT
        # Open the image file
        with self.image_processor.open_image(image_input_file) as img:
            processed_img = img
            image_name = os.path.basename(image_output_file) # for date adjustment

            # Resize
            if resize is not None:
                processed_img = self.image_processor.resize_image(
                    image=processed_img, percent=resize
                )

            # Watermark
            if watermark is not None:
                processed_img = self.image_processor.add_watermark(
                    processed_img, watermark, int(font_size)
                )

            # Grayscale
            if grayscale:
                processed_img = self.image_processor.grayscale(processed_img)

            # Brightness
            if brightness is not None:
                processed_img = self.image_processor.change_brightness(
                    processed_img, brightness
                )

            # Contrast
            if contrast is not None:
                processed_img = self.image_processor.change_contrast(
                    processed_img, contrast
                )

            # EXIF data handling
            exif_piexif_format = None
            if dict_for_exif: # todo: maybe move to ui and only accept complete exif dicts..
                selected_exif = dict_for_exif
                if "date_time_original" in dict_for_exif:
                    selected_exif = self.modify_timestamp_in_exif(selected_exif, image_name)
                exif_piexif_format = self.exif_handler.build_exif_dict(
                    selected_exif, self.image_processor.get_image_size(processed_img)
                )

                # GPS data
                if gps is not None:
                    latitude = float(gps[0])
                    longitude = float(gps[1])
                    exif_piexif_format = self.exif_handler.add_geolocation_to_exif(exif_piexif_format, latitude, longitude)

            # Copy EXIF data if selected, and ensure size is correct in exif data
            elif copy_exif:
                try:
                    og_exif = self.exif_handler.get_exif_info(img)
                    og_exif["Exif"][40962], og_exif["Exif"][40963] = self.image_processor.get_image_size(processed_img)
                    exif_piexif_format = og_exif
                except Exception:
                    print("Copying EXIF data selected, but no EXIF data is available in the original image file.")

            # Save the processed image
            self.image_processor.save_image(
                image = processed_img,
                path = image_output_file,
                piexif_exif_data = exif_piexif_format,
                file_type = file_type,
                jpg_quality = quality,
                png_compressing = compressing,
                optimize = optimize
            )