Removed obsoleted tag of Keywords. Updated code so that pyexiv2-0.1.3 users can now use it too.
svn: r16908
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3a05573599
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@ -25,6 +25,9 @@
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# *****************************************************************************
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# Python Modules
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# *****************************************************************************
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from decimal import *
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getcontext().prec = 4
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import os, sys
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from datetime import datetime, date
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import time
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@ -44,6 +47,7 @@ from gen.ggettext import gettext as _
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_DOWNLOAD_LINK = "http://tilloy.net/dev/pyexiv2/"
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pyexiv2_required = True
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Min_VERSION_str = "pyexiv2-%d.%d.%d" % (0, 1, 3)
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LesserVersion = False
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Min_VERSION = (0, 1, 3)
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PrefVersion_str = "pyexiv2-%d.%d.%d" % (0, 3, 0)
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@ -59,22 +63,18 @@ except ImportError:
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"and install, %s .") % ( _DOWNLOAD_LINK, Min_VERSION_str, PrefVersion_str)).encode(sys.getfilesystemencoding()) )
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except AttributeError:
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pyexiv2_required = False
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LesserVersion = True
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if not pyexiv2_required:
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raise Exception((_("The minimum required version for pyexiv2 must be %s \n"
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"or greater. You may download it from here: %s\n\n I recommend getting, "
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"%s .") % ( Min_VERSION_str, _DOWNLOAD_LINK, PrefVersion_str).encode(sys.getfilesystemencoding())) )
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# import the required classes for use in this gramplet
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from pyexiv2 import ImageMetadata, Rational
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from gen.plug import Gramplet
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from DateHandler import displayer as _dd
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import gen.lib
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import Utils
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import gen.mime
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# -----------------------------------------------------------------------------
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# Constants
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@ -92,9 +92,6 @@ ImageLongitude = "Exif.GPSInfo.GPSLongitude"
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ImageLongitudeRef = "Exif.GPSInfo.GPSLongitudeRef"
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ImageDescription = "Exif.Image.ImageDescription"
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# set up keys for Image IPTC keys
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IptcKeywords = "Iptc.Application2.Keywords"
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_DATAMAP = [ImageArtist, ImageCopyright, ImageDateTime,
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ImageLatitude, ImageLatitudeRef, ImageLongitude, ImageLongitudeRef,
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ImageDescription]
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@ -133,10 +130,7 @@ class MetadataViewer(Gramplet):
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# Latitude and Longitude for this image
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("Latitude", _("Latitude"), None, True, [], False, 0, None),
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("Longitude", _("Longitude"), None, True, [], False, 0, None),
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# keywords describing your image
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("Keywords", _("Keywords"), None, True, [], False, 0, None) ]:
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("Longitude", _("Longitude"), None, True, [], False, 0, None) ]:
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pos, text, choices, readonly, callback, dirty, default, source = items
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row = self.make_row(pos, text, choices, readonly, callback, dirty, default, source)
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@ -184,7 +178,6 @@ class MetadataViewer(Gramplet):
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# get mime type and make sure it is an image?
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mime_type = active_media.get_mime_type()
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mtype = gen.mime.get_description(mime_type)
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if mime_type and mime_type.startswith("image"):
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value, filetype = mime_type.split("/")
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@ -207,16 +200,24 @@ class MetadataViewer(Gramplet):
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return
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# define plugin media
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self.plugin_image = ImageMetadata(image_path)
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self.plugin_image = pyexiv2.ImageMetadata(image_path)
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# read media metadata
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try:
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self.plugin_image.read()
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except IOError:
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return
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if LesserVersion:
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try:
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self.plugin_image.readMetadata()
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except IOError:
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return
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else:
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# read media metadata
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try:
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self.plugin_image.read()
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except IOError:
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return
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# set up image metadata keys for use in this gramplet
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dataKeyTags = [KeyTag for KeyTag in self.plugin_image.exif_keys if KeyTag in _DATAMAP ]
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dataKeyTags = [KeyTag for KeyTag in self.plugin_image.exif_keys if KeyTag in _DATAMAP]
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for KeyTag in dataKeyTags:
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@ -286,18 +287,6 @@ class MetadataViewer(Gramplet):
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self._get_value(ImageDescription)
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)
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# image Keywords
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words = ""
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keyWords = self._get_value(IptcKeywords)
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if keyWords:
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index = 1
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for word in keyWords:
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words += word
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if index is not len(keyWords):
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words += ","
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index += 1
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self.exif_widgets["Keywords"].set_text(words)
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def make_row(self, pos, text, choices=None, readonly=False, callback_list=[],
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mark_dirty=False, default=0, source=None):
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@ -379,7 +368,7 @@ class MetadataViewer(Gramplet):
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"""
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for key in [ "Artist", "Copyright", "NewDate", "NewTime",
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"Latitude", "Longitude", "Keywords", "Description" ]:
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"Latitude", "Longitude", "Description" ]:
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self.exif_widgets[key].set_text( "" )
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def process_date(self, tmpDate):
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@ -496,7 +485,7 @@ def convert_value(value):
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will take a value from the coordinates and return its value
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"""
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if isinstance(value, Rational):
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if isinstance(value, pyexiv2.Rational):
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value = value.numerator
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else:
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value = (value.numerator / value.denominator)
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@ -518,8 +507,7 @@ def rational_to_dms(coords, ValueType):
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sec, rest = sec.split("/")
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sec, rest = int(sec), int(rest)
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if rest > 1:
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sec = str( (sec/ rest) )
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sec = str( ( Decimal(sec) / Decimal(rest) ) )
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elif (ValueType == 0 and isinstance(coords, list) ):
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