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@ -1,31 +1,42 @@
import os
from datetime import datetime
from optima35.core import OptimaManager
from PySide6 import QtCore, QtWidgets
from PySide6.QtCore import (
QDate,
QObject,
QRegularExpression,
QRunnable,
Qt,
QThreadPool,
Signal,
)
from PySide6.QtGui import QIcon, QRegularExpressionValidator
from PySide6.QtWidgets import QApplication, QFileDialog, QMainWindow, QMessageBox
from OptimaLab35 import __version__
from .const import (
APPLICATION_NAME,
CONFIG_BASE_PATH
)
from .const import APPLICATION_NAME, CONFIG_BASE_PATH
from .ui import resources_rc
from .previewWindow import PreviewWindow
from .settingsWindow import SettingsWindow
from .ui import resources_rc
from .ui.exif_handler_window import ExifEditor
from .ui.main_window import Ui_MainWindow
from .ui.simple_dialog import SimpleDialog # Import the SimpleDialog class
from .utils.utility import Utilities
from .utils.utility import Utilities
from .ui.main_window import Ui_MainWindow
from .ui.exif_handler_window import ExifEditor
from .ui.simple_dialog import SimpleDialog # Import the SimpleDialog class
from PySide6 import QtWidgets, QtCore
from PySide6.QtCore import (
QRunnable,
QThreadPool,
Signal,
QObject,
QRegularExpression,
Qt,
QDate
)
from PySide6.QtWidgets import (
QMessageBox,
QApplication,
QMainWindow,
QFileDialog
)
from PySide6.QtGui import QRegularExpressionValidator, QIcon
class OptimaLab35(QMainWindow, Ui_MainWindow):
def __init__(self):
@ -87,7 +98,6 @@ class OptimaLab35(QMainWindow, Ui_MainWindow):
self.ui.lat_lineEdit.setValidator(validator)
self.ui.long_lineEdit.setValidator(validator)
self.ui.dateEdit.setDate(QDate.currentDate())
# UI related function, changing parts, open, etc.
def open_preview_window(self):
self.preview_window = PreviewWindow()
@ -108,7 +118,7 @@ class OptimaLab35(QMainWindow, Ui_MainWindow):
def info_window(self):
info_text = f"""
<h3>{self.name} v{self.version}</h3>
<p>(C) 2024-2026 Mr Finchum aka CodeByMrFinchum</p>
<p>(C) 2024-2025 Mr Finchum aka CodeByMrFinchum</p>
<p>{self.name} is a GUI for {self.o.name} (v{self.o.version}), enhancing its functionality with a user-friendly interface for efficient image and metadata management.</p>
<h4>Features:</h4>
@ -175,12 +185,8 @@ class OptimaLab35(QMainWindow, Ui_MainWindow):
filtered.append(stripped)
# ignore anything else
# Sort: NA first, then valid times ascending
return sorted(
filtered,
key=lambda x: (0, 0)
if (x is None or str(x).strip().upper() in {"NA"})
else (1, self.parse_time(x)),
)
return sorted(filtered, key=lambda x: (0, 0) if (x is None or str(x).strip().upper() in {"NA"})
else (1, self.parse_time(x)))
def sort_dict_of_lists(self, input_dict):
# Partily ChatGPT
@ -198,9 +204,7 @@ class OptimaLab35(QMainWindow, Ui_MainWindow):
elif all(isinstance(x, str) for x in lst):
sorted_dict[key] = sorted(
lst,
key=lambda x: (0, x.lower())
if str(x).lower() == "na"
else (1, str(x).lower()),
key=lambda x: (0, x.lower()) if str(x).lower() == "na" else (1, str(x).lower())
)
return sorted_dict
@ -276,7 +280,7 @@ class OptimaLab35(QMainWindow, Ui_MainWindow):
if folder:
self.ui.output_path.setText(folder)
def change_statusbar(self, msg, timeout=500):
def change_statusbar(self, msg, timeout = 500):
self.ui.statusBar.showMessage(msg, timeout)
# Core functions
@ -287,9 +291,7 @@ class OptimaLab35(QMainWindow, Ui_MainWindow):
def image_list_from_folder(self, path):
image_files = [
f
for f in os.listdir(path)
if f.lower().endswith((".png", ".jpg", ".jpeg", ".webp"))
f for f in os.listdir(path) if f.lower().endswith((".png", ".jpg", ".jpeg", ".webp"))
]
image_files.sort()
return image_files
@ -305,17 +307,11 @@ class OptimaLab35(QMainWindow, Ui_MainWindow):
if process == "image":
if not input_folder or not output_folder:
QMessageBox.warning(
self, "Warning", "Input or output folder not selected"
)
QMessageBox.warning(self, "Warning", "Input or output folder not selected")
return False
if not input_folder_valid or not output_folder_valid:
QMessageBox.warning(
self,
"Warning",
f"Input location {input_folder_valid}\nOutput folder {output_folder_valid}...",
)
QMessageBox.warning(self, "Warning", f"Input location {input_folder_valid}\nOutput folder {output_folder_valid}...")
return False
if len(self.image_list_from_folder(output_folder)) != 0:
@ -330,6 +326,7 @@ class OptimaLab35(QMainWindow, Ui_MainWindow):
return False
elif process == "exif":
if not input_folder:
QMessageBox.warning(self, "Warning", "Input not selected")
return False
@ -345,19 +342,15 @@ class OptimaLab35(QMainWindow, Ui_MainWindow):
if reply == QMessageBox.No:
return False
if not input_folder_valid:
QMessageBox.warning(
self, "Warning", f"Input location {input_folder_valid}"
)
if not input_folder_valid :
QMessageBox.warning(self, "Warning", f"Input location {input_folder_valid}")
return False
else:
print("Something went wrong")
if len(image_list) == 0:
QMessageBox.warning(
self, "Warning", "Selected folder has no supported files."
)
QMessageBox.warning(self, "Warning", "Selected folder has no supported files.")
return False
return True
@ -376,9 +369,7 @@ class OptimaLab35(QMainWindow, Ui_MainWindow):
image_list = self.image_list_from_folder(self.settings["input_folder"])
# Create a worker ChatGPT
worker = ImageProcessorRunnable(
image_list, self.settings, self.handle_qprogressbar
)
worker = ImageProcessorRunnable(image_list, self.settings, self.handle_qprogressbar)
worker.signals.finished.connect(self.on_processing_finished)
# Start worker in thread pool ChatGPT
self.thread_pool.start(worker)
@ -396,13 +387,13 @@ class OptimaLab35(QMainWindow, Ui_MainWindow):
i = 1
for image_file in image_files:
input_path = os.path.join(input_folder, image_file)
self.o.insert_exif_to_image(
exif_dict=self.settings["user_selected_exif"],
image_path=input_path,
gps=self.settings["gps"],
)
exif_dict = self.settings["user_selected_exif"],
image_path = input_path,
gps = self.settings["gps"])
self.change_statusbar(image_file, 100)
self.handle_qprogressbar(int((i / len(image_files)) * 100))
i += 1
@ -424,11 +415,7 @@ class OptimaLab35(QMainWindow, Ui_MainWindow):
image_list = self.image_list_from_folder(self.settings["input_folder"])
print(image_list)
if not self.control_ending(image_list):
QMessageBox.warning(
self,
"Warning",
f"Error: one or more filenames do not end on a number.\nCan not adjust time",
)
QMessageBox.warning(self, "Warning", f"Error: one or more filenames do not end on a number.\nCan not adjust time")
self.toggle_buttons(True)
return
@ -437,19 +424,19 @@ class OptimaLab35(QMainWindow, Ui_MainWindow):
self.toggle_buttons(True)
QMessageBox.information(self, "Information", "Finished")
def get_checkbox_value(self, checkbox, default=None):
def get_checkbox_value(self, checkbox, default = None):
"""Helper function to get the value of a checkbox or a default value."""
return checkbox.isChecked() if checkbox else default
def get_spinbox_value(self, spinbox, default=None):
def get_spinbox_value(self, spinbox, default = None):
"""Helper function to get the value of a spinbox and handle empty input."""
return int(spinbox.text()) if spinbox.text() else default
def get_combobox_value(self, combobox, default=None):
def get_combobox_value(self, combobox, default = None):
"""Helper function to get the value of a combobox."""
return combobox.currentIndex() + 1 if combobox.currentIndex() != -1 else default
def get_text_value(self, lineedit, default=None):
def get_text_value(self, lineedit, default = None):
"""Helper function to get the value of a text input field."""
return lineedit.text() if lineedit.text() else default
@ -477,21 +464,12 @@ class OptimaLab35(QMainWindow, Ui_MainWindow):
user_data["lens"] = self.ui.lens_comboBox.currentText()
user_data["iso"] = self.ui.iso_comboBox.currentText()
lab_info = self.add_laboratory_info()
user_data["image_description"] = (
f"{self.ui.image_description_comboBox.currentText()} {lab_info}"
)
user_data["image_description"] = f"{self.ui.image_description_comboBox.currentText()} {lab_info}"
user_data["artist"] = self.ui.artist_comboBox.currentText()
user_data["copyright_info"] = self.ui.copyright_info_comboBox.currentText()
user_data["software"] = (
f"{self.name} {self.version} with {self.o.name} {self.o.version}"
)
if (
int(self.ui.contrast_spinBox.text()) != 0
or int(self.ui.brightness_spinBox.text()) != 0
):
user_data["user_comment"] = (
f"{self.ui.user_comment_comboBox.currentText()}, contrast: {self.ui.contrast_spinBox.text()}, brightness: {self.ui.brightness_spinBox.text()}"
)
user_data["software"] = f"{self.name} {self.version} with {self.o.name} {self.o.version}"
if int(self.ui.contrast_spinBox.text()) != 0 or int(self.ui.brightness_spinBox.text()) != 0:
user_data["user_comment"] = f"{self.ui.user_comment_comboBox.currentText()}, contrast: {self.ui.contrast_spinBox.text()}, brightness: {self.ui.brightness_spinBox.text()}"
else:
user_data["user_comment"] = self.ui.user_comment_comboBox.currentText()
@ -499,18 +477,13 @@ class OptimaLab35(QMainWindow, Ui_MainWindow):
def get_selected_exif(self):
"""Collect selected EXIF data and handle date and GPS if necessary."""
selected_exif = (
self.collect_selected_exif() if self.ui.exif_checkbox.isChecked() else None
)
selected_exif = self.collect_selected_exif() if self.ui.exif_checkbox.isChecked() else None
if selected_exif:
if self.ui.add_date_checkBox.isChecked():
selected_exif["date_time_original"] = self.get_date()
if self.ui.gps_checkBox.isChecked():
try:
self.settings["gps"] = [
float(self.ui.lat_lineEdit.text()),
float(self.ui.long_lineEdit.text()),
]
self.settings["gps"] = [float(self.ui.lat_lineEdit.text()), float(self.ui.long_lineEdit.text())]
except ValueError as e:
self.settings["gps"] = "Wrong gps data"
else:
@ -530,47 +503,22 @@ class OptimaLab35(QMainWindow, Ui_MainWindow):
self.settings["output_folder"] = self.get_text_value(self.ui.output_path)
self.settings["file_format"] = self.ui.image_type.currentText()
# Quality
self.settings["jpg_quality"] = self.get_spinbox_value(
self.ui.jpg_quality_spinBox
)
self.settings["png_compression"] = self.get_spinbox_value(
self.ui.png_quality_spinBox
)
self.settings["resize"] = (
int(self.ui.resize_spinBox.text())
if self.ui.resize_spinBox.text() != "100"
else None
)
self.settings["jpg_quality"] = self.get_spinbox_value(self.ui.jpg_quality_spinBox)
self.settings["png_compression"] = self.get_spinbox_value(self.ui.png_quality_spinBox)
self.settings["resize"] = int(self.ui.resize_spinBox.text()) if self.ui.resize_spinBox.text() != "100" else None
self.settings["optimize"] = self.get_checkbox_value(self.ui.optimize_checkBox)
# Changes for image
self.settings["brightness"] = (
int(self.ui.brightness_spinBox.text())
if self.ui.brightness_spinBox.text() != "0"
else None
)
self.settings["contrast"] = (
int(self.ui.contrast_spinBox.text())
if self.ui.contrast_spinBox.text() != "0"
else None
)
self.settings["brightness"] = int(self.ui.brightness_spinBox.text()) if self.ui.brightness_spinBox.text() != "0" else None
self.settings["contrast"] = int(self.ui.contrast_spinBox.text()) if self.ui.contrast_spinBox.text() != "0" else None
self.settings["grayscale"] = self.get_checkbox_value(self.ui.grayscale_checkBox)
# Watermark
self.settings["font_size"] = self.get_combobox_value(self.ui.font_size_comboBox)
self.settings["watermark"] = self.get_text_value(self.ui.watermark_lineEdit)
# Naming
new_name = (
self.get_text_value(self.ui.filename, False)
if self.ui.rename_checkbox.isChecked()
else False
)
if isinstance(new_name, str):
new_name = new_name.replace(" ", "_")
new_name = self.get_text_value(self.ui.filename, False) if self.ui.rename_checkbox.isChecked() else False
if isinstance(new_name, str): new_name = new_name.replace(" ", "_")
self.settings["new_file_names"] = new_name
self.settings["invert_image_order"] = (
self.get_checkbox_value(self.ui.revert_checkbox)
if new_name is not False
else None
)
self.settings["invert_image_order"] = self.get_checkbox_value(self.ui.revert_checkbox) if new_name is not False else None
# Handle EXIF data selection
self.settings["copy_exif"] = self.get_checkbox_value(self.ui.exif_copy_checkBox)
self.settings["own_exif"] = self.get_checkbox_value(self.ui.exif_checkbox)
@ -602,13 +550,11 @@ class OptimaLab35(QMainWindow, Ui_MainWindow):
QApplication.closeAllWindows()
event.accept()
class WorkerSignals(QObject):
# ChatGPT
progress = Signal(int)
finished = Signal()
class ImageProcessorRunnable(QRunnable):
# ChatGPT gave rough function layout
def __init__(self, image_files, settings, progress_callback):
@ -627,32 +573,27 @@ class ImageProcessorRunnable(QRunnable):
for i, image_file in enumerate(self.image_files, start=1):
input_path = os.path.join(input_folder, image_file)
if self.settings["new_file_names"] != False:
image_name = self.u.append_number_to_name(
self.settings["new_file_names"],
i,
len(self.image_files),
self.settings["invert_image_order"],
)
image_name = self.u.append_number_to_name(self.settings["new_file_names"], i, len(self.image_files), self.settings["invert_image_order"])
else:
image_name = os.path.splitext(image_file)[0]
output_path = os.path.join(output_folder, image_name)
self.o.process_and_save_image(
image_input_file=input_path,
image_output_file=output_path,
file_type=self.settings["file_format"],
quality=self.settings["jpg_quality"],
compressing=self.settings["png_compression"],
optimize=self.settings["optimize"],
resize=self.settings["resize"],
watermark=self.settings["watermark"],
font_size=self.settings["font_size"],
grayscale=self.settings["grayscale"],
brightness=self.settings["brightness"],
contrast=self.settings["contrast"],
dict_for_exif=self.settings["user_selected_exif"],
gps=self.settings["gps"],
copy_exif=self.settings["copy_exif"],
image_input_file = input_path,
image_output_file = output_path,
file_type = self.settings["file_format"],
quality = self.settings["jpg_quality"],
compressing = self.settings["png_compression"],
optimize = self.settings["optimize"],
resize = self.settings["resize"],
watermark = self.settings["watermark"],
font_size = self.settings["font_size"],
grayscale = self.settings["grayscale"],
brightness = self.settings["brightness"],
contrast = self.settings["contrast"],
dict_for_exif = self.settings["user_selected_exif"],
gps = self.settings["gps"],
copy_exif = self.settings["copy_exif"]
)
self.signals.progress.emit(int((i / len(self.image_files)) * 100))