photofloat/scanner/PhotoAlbum.py

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from CachePath import *
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from datetime import datetime
import json
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import os
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import os.path
from PIL import Image
from PIL.ExifTags import TAGS
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import gc
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class Album(object):
def __init__(self, path):
self._path = trim_base(path)
self._photos = list()
self._albums = list()
self._photos_sorted = True
self._albums_sorted = True
@property
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def photos(self):
return self._photos
@property
def albums(self):
return self._albums
@property
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def path(self):
return self._path
def __str__(self):
return self.path
@property
def cache_path(self):
return json_cache(self.path)
@property
def date(self):
self._sort()
if len(self._photos) == 0 and len(self._albums) == 0:
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return datetime(1900, 1, 1)
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elif len(self._photos) == 0:
return self._albums[-1].date
elif len(self._albums) == 0:
return self._photos[-1].date
return max(self._photos[-1].date, self._albums[-1].date)
def __cmp__(self, other):
return cmp(self.date, other.date)
def add_photo(self, photo):
self._photos.append(photo)
self._photos_sorted = False
def add_album(self, album):
self._albums.append(album)
self._albums_sorted = False
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def _sort(self):
if not self._photos_sorted:
self._photos.sort()
self._photos_sorted = True
if not self._albums_sorted:
self._albums.sort()
self._albums_sorted = True
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@property
def empty(self):
if len(self._photos) != 0:
return False
if len(self._albums) == 0:
return True
for album in self._albums:
if not album.empty:
return False
return True
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def cache(self, base_dir):
self._sort()
fp = open(os.path.join(base_dir, self.cache_path), 'w')
json.dump(self, fp, cls=PhotoAlbumEncoder)
fp.close()
@staticmethod
def from_cache(path):
fp = open(path, "r")
dictionary = json.load(fp)
fp.close()
return Album.from_dict(dictionary)
@staticmethod
def from_dict(dictionary, cripple=True):
album = Album(dictionary["path"])
for photo in dictionary["photos"]:
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album.add_photo(Photo.from_dict(photo, untrim_base(album.path)))
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if not cripple:
for subalbum in dictionary["albums"]:
album.add_album(Album.from_dict(subalbum), cripple)
album._sort()
return album
def to_dict(self, cripple=True):
self._sort()
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subalbums = []
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if cripple:
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for sub in self._albums:
if not sub.empty:
subalbums.append({ "path": trim_base_custom(sub.path, self._path), "date": sub.date })
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else:
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for sub in self._albums:
if not sub.empty:
subalbums.append(sub)
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return { "path": self.path, "date": self.date, "albums": subalbums, "photos": self._photos }
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def photo_from_path(self, path):
for photo in self._photos:
if trim_base(path) == photo._path:
return photo
return None
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class Photo(object):
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thumb_sizes = [ (75, True), (150, True), (640, False), (800, False), (1024, False) ]
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def __init__(self, path, thumb_path=None, attributes=None):
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self._path = trim_base(path)
self.is_valid = True
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try:
mtime = file_mtime(path)
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except KeyboardInterrupt:
raise
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except:
self.is_valid = False
return
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if attributes is not None and attributes["dateTimeFile"] >= mtime:
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self._attributes = attributes
return
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self._attributes = {}
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self._attributes["dateTimeFile"] = mtime
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try:
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image = Image.open(path)
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except KeyboardInterrupt:
raise
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except:
self.is_valid = False
return
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self._metadata(image)
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self._thumbnails(image, thumb_path, path)
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def _metadata(self, image):
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self._attributes["size"] = image.size
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self._orientation = 1
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try:
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info = image._getexif()
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except KeyboardInterrupt:
raise
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except:
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return
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if not info:
return
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exif = {}
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for tag, value in info.items():
decoded = TAGS.get(tag, tag)
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if isinstance(value, str):
value = value.strip()
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if isinstance(decoded, str) and decoded.startswith("DateTime"):
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try:
value = datetime.strptime(value, '%Y:%m:%d %H:%M:%S')
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except KeyboardInterrupt:
raise
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except:
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continue
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exif[decoded] = value
if "Orientation" in exif:
self._orientation = exif["Orientation"];
if self._orientation in range(5, 9):
self._attributes["size"] = (self._attributes["size"][1], self._attributes["size"][0])
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if self._orientation - 1 < len(self._metadata.orientation_list):
self._attributes["orientation"] = self._metadata.orientation_list[self._orientation - 1]
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if "Make" in exif:
self._attributes["make"] = exif["Make"]
if "Model" in exif:
self._attributes["model"] = exif["Model"]
if "ApertureValue" in exif:
self._attributes["aperture"] = exif["ApertureValue"]
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elif "FNumber" in exif:
self._attributes["aperture"] = exif["FNumber"]
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if "FocalLength" in exif:
self._attributes["focalLength"] = exif["FocalLength"]
if "ISOSpeedRatings" in exif:
self._attributes["iso"] = exif["ISOSpeedRatings"]
if "ISO" in exif:
self._attributes["iso"] = exif["ISO"]
if "PhotographicSensitivity" in exif:
self._attributes["iso"] = exif["PhotographicSensitivity"]
if "ExposureTime" in exif:
self._attributes["exposureTime"] = exif["ExposureTime"]
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if "Flash" in exif and exif["Flash"] in self._metadata.flash_dictionary:
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try:
self._attributes["flash"] = self._metadata.flash_dictionary[exif["Flash"]]
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except KeyboardInterrupt:
raise
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except:
pass
if "LightSource" in exif and exif["LightSource"] in self._metadata.light_source_dictionary:
try:
self._attributes["lightSource"] = self._metadata.light_source_dictionary[exif["LightSource"]]
except KeyboardInterrupt:
raise
except:
pass
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if "ExposureProgram" in exif and exif["ExposureProgram"] < len(self._metadata.exposure_list):
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self._attributes["exposureProgram"] = self._metadata.exposure_list[exif["ExposureProgram"]]
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if "SpectralSensitivity" in exif:
self._attributes["spectralSensitivity"] = exif["SpectralSensitivity"]
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if "MeteringMode" in exif and exif["MeteringMode"] < len(self._metadata.metering_list):
self._attributes["meteringMode"] = self._metadata.metering_list[exif["MeteringMode"]]
if "SensingMethod" in exif and exif["SensingMethod"] < len(self._metadata.sensing_method_list):
self._attributes["sensingMethod"] = self._metadata.sensing_method_list[exif["SensingMethod"]]
if "SceneCaptureType" in exif and exif["SceneCaptureType"] < len(self._metadata.scene_capture_type_list):
self._attributes["sceneCaptureType"] = self._metadata.scene_capture_type_list[exif["SceneCaptureType"]]
if "SubjectDistanceRange" in exif and exif["SubjectDistanceRange"] < len(self._metadata.subject_distance_range_list):
self._attributes["subjectDistanceRange"] = self._metadata.subject_distance_range_list[exif["SubjectDistanceRange"]]
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if "ExposureCompensation" in exif:
self._attributes["exposureCompensation"] = exif["ExposureCompensation"]
if "ExposureBiasValue" in exif:
self._attributes["exposureCompensation"] = exif["ExposureBiasValue"]
if "DateTimeOriginal" in exif:
self._attributes["dateTimeOriginal"] = exif["DateTimeOriginal"]
if "DateTime" in exif:
self._attributes["dateTime"] = exif["DateTime"]
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_metadata.flash_dictionary = {0x0: "No Flash", 0x1: "Fired",0x5: "Fired, Return not detected",0x7: "Fired, Return detected",0x8: "On, Did not fire",0x9: "On, Fired",0xd: "On, Return not detected",0xf: "On, Return detected",0x10: "Off, Did not fire",0x14: "Off, Did not fire, Return not detected",0x18: "Auto, Did not fire",0x19: "Auto, Fired",0x1d: "Auto, Fired, Return not detected",0x1f: "Auto, Fired, Return detected",0x20: "No flash function",0x30: "Off, No flash function",0x41: "Fired, Red-eye reduction",0x45: "Fired, Red-eye reduction, Return not detected",0x47: "Fired, Red-eye reduction, Return detected",0x49: "On, Red-eye reduction",0x4d: "On, Red-eye reduction, Return not detected",0x4f: "On, Red-eye reduction, Return detected",0x50: "Off, Red-eye reduction",0x58: "Auto, Did not fire, Red-eye reduction",0x59: "Auto, Fired, Red-eye reduction",0x5d: "Auto, Fired, Red-eye reduction, Return not detected",0x5f: "Auto, Fired, Red-eye reduction, Return detected"}
_metadata.light_source_dictionary = {0: "Unknown", 1: "Daylight", 2: "Fluorescent", 3: "Tungsten (incandescent light)", 4: "Flash", 9: "Fine weather", 10: "Cloudy weather", 11: "Shade", 12: "Daylight fluorescent (D 5700 - 7100K)", 13: "Day white fluorescent (N 4600 - 5400K)", 14: "Cool white fluorescent (W 3900 - 4500K)", 15: "White fluorescent (WW 3200 - 3700K)", 17: "Standard light A", 18: "Standard light B", 19: "Standard light C", 20: "D55", 21: "D65", 22: "D75", 23: "D50", 24: "ISO studio tungsten"}
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_metadata.metering_list = ["Unknown", "Average", "Center-weighted average", "Spot", "Multi-spot", "Multi-segment", "Partial"]
_metadata.exposure_list = ["Not Defined", "Manual", "Program AE", "Aperture-priority AE", "Shutter speed priority AE", "Creative (Slow speed)", "Action (High speed)", "Portrait", "Landscape", "Bulb"]
_metadata.orientation_list = ["Horizontal (normal)", "Mirror horizontal", "Rotate 180", "Mirror vertical", "Mirror horizontal and rotate 270 CW", "Rotate 90 CW", "Mirror horizontal and rotate 90 CW", "Rotate 270 CW"]
_metadata.sensing_method_list = ["Not defined", "One-chip color area sensor", "Two-chip color area sensor", "Three-chip color area sensor", "Color sequential area sensor", "Trilinear sensor", "Color sequential linear sensor"]
_metadata.scene_capture_type_list = ["Standard", "Landscape", "Portrait", "Night scene"]
_metadata.subject_distance_range_list = ["Unknown", "Macro", "Close view", "Distant view"]
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def _thumbnail(self, image, thumb_path, original_path, size, square=False):
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thumb_path = os.path.join(thumb_path, image_cache(self._path, size, square))
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info_string = "%s -> %spx" % (os.path.basename(original_path), str(size))
if square:
info_string += ", square"
message("thumbing", info_string)
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if os.path.exists(thumb_path) and file_mtime(thumb_path) >= self._attributes["dateTimeFile"]:
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return
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gc.collect()
try:
image = image.copy()
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except KeyboardInterrupt:
raise
except:
try:
image = image.copy() # we try again to work around PIL bug
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except KeyboardInterrupt:
raise
except:
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message("corrupt image", os.path.basename(original_path))
return
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if square:
if image.size[0] > image.size[1]:
left = (image.size[0] - image.size[1]) / 2
top = 0
right = image.size[0] - ((image.size[0] - image.size[1]) / 2)
bottom = image.size[1]
else:
left = 0
top = (image.size[1] - image.size[0]) / 2
right = image.size[0]
bottom = image.size[1] - ((image.size[1] - image.size[0]) / 2)
image = image.crop((left, top, right, bottom))
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gc.collect()
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image.thumbnail((size, size), Image.ANTIALIAS)
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try:
image.save(thumb_path, "JPEG")
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except KeyboardInterrupt:
os.unlink(thumb_path)
raise
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except:
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message("save failure", os.path.basename(thumb_path))
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os.unlink(thumb_path)
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def _thumbnails(self, image, thumb_path, original_path):
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mirror = image
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if self._orientation == 2:
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# Vertical Mirror
mirror = image.transpose(Image.FLIP_LEFT_RIGHT)
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elif self._orientation == 3:
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# Rotation 180
mirror = image.transpose(Image.ROTATE_180)
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elif self._orientation == 4:
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# Horizontal Mirror
mirror = image.transpose(Image.FLIP_TOP_BOTTOM)
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elif self._orientation == 5:
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# Horizontal Mirror + Rotation 270
mirror = image.transpose(Image.FLIP_TOP_BOTTOM).transpose(Image.ROTATE_270)
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elif self._orientation == 6:
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# Rotation 270
mirror = image.transpose(Image.ROTATE_270)
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elif self._orientation == 7:
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# Vertical Mirror + Rotation 270
mirror = image.transpose(Image.FLIP_LEFT_RIGHT).transpose(Image.ROTATE_270)
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elif self._orientation == 8:
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# Rotation 90
mirror = image.transpose(Image.ROTATE_90)
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for size in Photo.thumb_sizes:
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self._thumbnail(mirror, thumb_path, original_path, size[0], size[1])
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@property
def name(self):
return os.path.basename(self._path)
def __str__(self):
return self.name
@property
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def path(self):
return self._path
@property
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def image_caches(self):
return [image_cache(self._path, size[0], size[1]) for size in Photo.thumb_sizes]
@property
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def date(self):
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if not self.is_valid:
return datetime(1900, 1, 1)
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if "dateTimeOriginal" in self._attributes:
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return self._attributes["dateTimeOriginal"]
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elif "dateTime" in self._attributes:
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return self._attributes["dateTime"]
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else:
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return self._attributes["dateTimeFile"]
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def __cmp__(self, other):
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date_compare = cmp(self.date, other.date)
if date_compare == 0:
return cmp(self.name, other.name)
return date_compare
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@property
def attributes(self):
return self._attributes
@staticmethod
def from_dict(dictionary, basepath):
del dictionary["date"]
path = os.path.join(basepath, dictionary["name"])
del dictionary["name"]
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for key, value in dictionary.items():
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if key.startswith("dateTime"):
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try:
dictionary[key] = datetime.strptime(dictionary[key], "%a %b %d %H:%M:%S %Y")
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except KeyboardInterrupt:
raise
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except:
pass
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return Photo(path, None, dictionary)
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def to_dict(self):
photo = { "name": self.name, "date": self.date }
photo.update(self.attributes)
return photo
class PhotoAlbumEncoder(json.JSONEncoder):
def default(self, obj):
if isinstance(obj, datetime):
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return obj.strftime("%a %b %d %H:%M:%S %Y")
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if isinstance(obj, Album) or isinstance(obj, Photo):
return obj.to_dict()
return json.JSONEncoder.default(self, obj)
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