feat: BREAKING GPS now must be float

CHANGELOG.md

@@ -1,6 +1,17 @@
 # Changelog
 
 ## 0.6.x
+### 0.7.0
+- **BREAKING CHANGE:** GPS location must now be provided as a float instead of a string.
+
+### 0.6.6
+- Added function to insert exif data into image file (i.e. without modifying image)
+
+### 0.6.5 / -a
+- No breaking changes to backward compatibility yet.
+- Updated the `process` function: an image can now be returned in a modified form without saving. It is returned as a Qt image, which is required for the new UI functionality.
+- No change from alpha to *stable*
+
 ### 0.6.4
 - Released a stable-ish version to ensure compatibility with the current GUI in OptimaLab35 (v0.1.0).
 - This version serves as a baseline before potential breaking changes in future updates.

pip_README.md

@@ -0,0 +1,2 @@
+Uses pillow and piexif to modify images, see [optima35](https://gitlab.com/CodeByMrFinchum/optima35) gitlab for more information.
+Install [OptimaLab35](https://pypi.org/project/OptimaLab35/) in pip for a GUI.

pyproject.toml

@@ -6,8 +6,8 @@ build-backend = "hatchling.build"
 name = "optima35"
 dynamic = ["version"]
 authors = [{ name = "Mr. Finchum" }]
-description = "OPTIMA35 is a package to modify images with pillow and piexif."
+description = "optima35 is a package to modify images, using pillow and piexif."
-readme = "README.md"
+readme = "pip_README.md"
 requires-python = ">=3.8"
 dependencies = ["piexif", "pillow"]
 classifiers = [

src/optima35/__main__.py

@@ -1,6 +1,7 @@
 from . import __version__
 # From ChatGPT
 def main():
+    print("(C) 2024-2025 Mr. Finchum aka CodeByMrFinchum")
     print(f"optima35 (v{__version__}) is a core library and not intended to be run directly.")
     print("Please use OptimaLab35 for a UI, run pip install OptimaLab35 and start with OptimaLab35.")
 

src/optima35/core.py

@@ -6,15 +6,15 @@ from optima35 import __version__
 
 class OptimaManager:
     def __init__(self):
-        self.name = "OPTIMA35"
+        self.name = "optima35"
         self.version = __version__
         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)]
+            last_three = filename[-3:len(filename)]
-            total_seconds = int(re.sub(r'\D+', '', last_tree))
+            total_seconds = int(re.sub(r'\D+', '', last_three))
             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
@@ -22,13 +22,13 @@ class OptimaManager:
             data_for_exif["date_time_original"] = new_time.strftime("%Y:%m:%d %H:%M:%S")
             return data_for_exif
 
-    def process_image(self,
+    def process_image(self, # TODO: split into two classes, one for modification for one saving..
         image_input_file,
         image_output_file,
-        file_type,
+        file_type = "jpg",
-        quality,
+        quality = 90,
-        compressing,
+        compressing = 6,
-        optimize,
+        optimize = False,
         resize = None,
         watermark = None,
         font_size = 2,
@@ -37,17 +37,17 @@ class OptimaManager:
         contrast = None,
         dict_for_exif = None,
         gps = None,
-        copy_exif = False):
+        copy_exif = False,
+        save = True):
         # 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
+                    image=processed_img, percent = resize
                 )
 
             # Watermark
@@ -78,7 +78,7 @@ class OptimaManager:
                 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(
+                exif_piexif_format = self.exif_handler.build_exif_bytes(
                     selected_exif, self.image_processor.get_image_size(processed_img)
                 )
 
@@ -97,6 +97,7 @@ class OptimaManager:
                 except Exception:
                     print("Copying EXIF data selected, but no EXIF data is available in the original image file.")
 
+            if save:
                 # Save the processed image
                     self.image_processor.save_image(
                         image = processed_img,
@@ -107,3 +108,24 @@ class OptimaManager:
                         png_compressing = compressing,
                         optimize = optimize
                     )
+            else:
+                    return self.image_processor.convert_pil_to_qtimage(processed_img)
+
+    def insert_dict_to_image(self, exif_dict, image_path, gps = None):
+        image_name, ending = os.path.splitext(os.path.basename(image_path))
+        img = self.image_processor.open_image(image_path)
+        selected_exif = exif_dict
+        if "date_time_original" in exif_dict:
+            selected_exif = self.modify_timestamp_in_exif(selected_exif, image_name)
+
+        exif_piexif_format = self.exif_handler.build_exif_bytes(
+            selected_exif, self.image_processor.get_image_size(img)
+        )
+
+        # GPS data
+        if gps is not None:
+            latitude = gps[0]
+            longitude = gps[1]
+            exif_piexif_format = self.exif_handler.add_geolocation_to_exif(exif_piexif_format, latitude, longitude)
+
+        self.exif_handler.insert_exif(exif_dict = exif_piexif_format, img_path = image_path)

src/optima35/image_handler.py

@@ -1,4 +1,4 @@
-from PIL import Image, ImageDraw, ImageFont, ImageEnhance
+from PIL import Image, ImageDraw, ImageFont, ImageEnhance, ImageQt
 import piexif
 from fractions import Fraction
 
@@ -91,6 +91,10 @@ class ImageProcessor:
         except Exception as e:
             print(f"Failed to save image: {e}")
 
+    def convert_pil_to_qtimage(self, pillow_image):
+        qt_image = ImageQt.ImageQt(pillow_image)
+        return qt_image
+
 class ExifHandler:
     """Function using piexif are here."""
     def __init__(self):
@@ -99,7 +103,7 @@ class ExifHandler:
     def get_exif_info(self, image):
         return(piexif.load(image.info['exif']))
 
-    def build_exif_dict(self, user_data, imagesize):
+    def build_exif_bytes(self, user_data, imagesize):
         """Build a piexif-compatible EXIF dictionary from a dicts."""
         # Mostly made by ChatGPT, some adjustment
         zeroth_ifd = {
@@ -197,3 +201,7 @@ class ExifHandler:
             return exif_data
         except Exception as e:
             print(f"Error: {str(e)}")
+
+    def insert_exif(self, exif_dict, img_path):
+        exif_bytes = piexif.dump(exif_dict)
+        piexif.insert(exif_bytes, img_path)