mirror of
https://github.com/Xevion/phototag.git
synced 2025-12-09 16:07:58 -06:00
exception handling -> printing, xmp identification and handling
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@@ -21,33 +21,37 @@ from . import RAW_EXTS, LOSSY_EXTS
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# 3) Read XMP, then write new tags to it
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# 4) Delete temporary file, move NEF/JPEG and XMP
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# Driver code for the package
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def run():
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# Client
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client = vision.ImageAnnotatorClient()
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# Find files we want to process based on if they have a corresponding .XMP
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logging.info('Locating processable files...')
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files = os.listdir(INPUT_PATH)
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select = [file for file in files if os.path.splitext(file)[1] != '.xmp']
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logging.info(f'Found {len(files)} valid files')
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# Create the 'temp' directory
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logging.info(f'Found {len(files)} valid files, beginning processing...')
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logging.info('Creating temporary processing directory')
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os.makedirs(TEMP_PATH)
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try:
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# Process files
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for index, file in progressbar.progressbar(list(enumerate(select)), redirect_stdout=True, term_width=110):
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_, ext = os.path.splitext(file)
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ext = ext[1:]
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if ext in LOSSY_EXTS or ext in RAW_EXTS:
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logging.info(f"Processing file '{file}'...")
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file = FileProcessor(file)
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logging.info(f"Processing file '{file}'...")
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file.run(client)
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except:
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logging.warning('Removing temporary directory before raising exception.')
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except Exception as error:
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logging.error(str(error))
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logging.warning(
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'Removing temporary directory before raising exception.')
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os.rmdir(TEMP_PATH)
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raise
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# Remove the directory, we are done here
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logging.info('Removing temporary directory.')
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os.rmdir(TEMP_PATH)
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os.rmdir(TEMP_PATH)
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@@ -12,19 +12,20 @@ from google.cloud import vision
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from . import TEMP_PATH, INPUT_PATH, OUTPUT_PATH
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from .xmp import XMPParser
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class FileProcessor(object):
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def __init__(self, file_name : str):
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def __init__(self, file_name: str):
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self.file_name = file_name
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self.base, self.ext = os.path.splitext(self.file_name) # fileNAME and fileEXTENSIOn
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self.base, self.ext = os.path.splitext(
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self.file_name) # fileNAME and fileEXTENSIOn
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# Path to temporary file that will be optimized for upload to Google
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self.temp_file_path = os.path.join(TEMP_PATH, self.base + '.jpeg')
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@property
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def hasXMP(self):
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return self.ext.lower() == 'xmp'
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# Decide whether a XMP file is available
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self.xmp = os.path.join(INPUT_PATH, base + '.xmp')
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self.xmp = self.xmp if os.path.exists(self.xmp) else None
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# Optimizes a file using JPEG thumbnailing and compression.
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def _optimize(self, file : str, size : tuple =(512, 512), quality=85, copy=None):
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def _optimize(self, file: str, size: tuple = (512, 512), quality : int = 85, copy : str = None):
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image = Image.open(file)
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image.thumbnail(size, resample=Image.ANTIALIAS)
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if copy:
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@@ -40,12 +41,13 @@ class FileProcessor(object):
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rgb.close()
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self._optimize(self.temp_file_path)
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else:
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self._optimize(os.path.join(INPUT_PATH, self.file_name), copy=self.temp_file_path)
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self._optimize(os.path.join(
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INPUT_PATH, self.file_name), copy=self.temp_file_path)
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def run(self, client : vision.ImageAnnotatorClient):
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def run(self, client: vision.ImageAnnotatorClient):
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try:
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if self.hasXMP:
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self.optimize()
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self.optimize()
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# Open the image, read as bytes, convert to types Image
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image = Image.open(self.temp_file_path)
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@@ -53,15 +55,16 @@ class FileProcessor(object):
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image.save(bytesIO, format='jpeg')
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image.close()
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image = vision.types.Image(content=bytesIO.getvalue())
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# Performs label detection on the image file
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response = client.label_detection(image=image)
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labels = [label.description for label in response.label_annotations]
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print('\tLabels: {}'.format(', '.join(labels)))
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# XMP sidecar file specified, write to it using XML module
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if self.xmp_name:
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logging.info('\tWriting {} tags to output XMP.'.format(len(labels)))
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if self.hasXMP:
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logging.info(
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'\tWriting {} tags to output XMP.'.format(len(labels)))
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parser = XMPParser(os.path.join(INPUT_PATH, self.xmp_name))
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parser.add_keywords(labels)
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# Save the new XMP file
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@@ -71,8 +74,10 @@ class FileProcessor(object):
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os.remove(os.path.join(INPUT_PATH, self.xmp_name))
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# No XMP file is specified, using IPTC tagging
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else:
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logging.info('\tWriting {} tags to image IPTC'.format(len(labels)))
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info = iptcinfo3.IPTCInfo(os.path.join(INPUT_PATH, self.file_name))
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logging.info(
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'\tWriting {} tags to image IPTC'.format(len(labels)))
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info = iptcinfo3.IPTCInfo(
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os.path.join(INPUT_PATH, self.file_name))
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info['keywords'].extend(labels)
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info.save()
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# Remove the weird ghsot file created by this iptc read/writer.
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@@ -88,4 +93,4 @@ class FileProcessor(object):
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# Remove the temporary file (if it exists)
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def _cleanup(self):
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if os.path.exists(self.temp_file_path):
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os.remove(self.temp_file_path)
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os.remove(self.temp_file_path)
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