492 lines
18 KiB
Python
492 lines
18 KiB
Python
from CachePath import *
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from datetime import datetime
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import json
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import os
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import os.path
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from PIL import Image
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from PIL.ExifTags import TAGS
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from multiprocessing import Pool
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import gc
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import tempfile
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from VideoToolWrapper import *
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def make_photo_thumbs(self, original_path, thumb_path, size):
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# The pool methods use a queue.Queue to pass tasks to the worker processes.
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# Everything that goes through the queue.Queue must be pickable, and since
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# self._photo_thumbnail is not defined at the top level, it's not pickable.
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# This is why we have this "dummy" function, so that it's pickable.
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self._photo_thumbnail(original_path, thumb_path, size[0], size[1])
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class Album(object):
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def __init__(self, path):
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self._path = trim_base(path)
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self._photos = list()
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self._albums = list()
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self._photos_sorted = True
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self._albums_sorted = True
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@property
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def photos(self):
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return self._photos
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@property
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def albums(self):
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return self._albums
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@property
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def path(self):
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return self._path
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def __str__(self):
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return self.path
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@property
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def cache_path(self):
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return json_cache(self.path)
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@property
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def date(self):
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self._sort()
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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:
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return self._albums[-1].date
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elif len(self._albums) == 0:
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return self._photos[-1].date
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return max(self._photos[-1].date, self._albums[-1].date)
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def __cmp__(self, other):
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return cmp(self.date, other.date)
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def add_photo(self, photo):
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self._photos.append(photo)
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self._photos_sorted = False
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def add_album(self, album):
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self._albums.append(album)
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self._albums_sorted = False
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def _sort(self):
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if not self._photos_sorted:
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self._photos.sort()
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self._photos_sorted = True
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if not self._albums_sorted:
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self._albums.sort()
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self._albums_sorted = True
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@property
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def empty(self):
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if len(self._photos) != 0:
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return False
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if len(self._albums) == 0:
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return True
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for album in self._albums:
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if not album.empty:
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return False
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return True
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def cache(self, base_dir):
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self._sort()
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fp = open(os.path.join(base_dir, self.cache_path), 'w')
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json.dump(self, fp, cls=PhotoAlbumEncoder)
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fp.close()
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@staticmethod
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def from_cache(path):
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fp = open(path, "r")
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dictionary = json.load(fp)
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fp.close()
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return Album.from_dict(dictionary)
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@staticmethod
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def from_dict(dictionary, cripple=True):
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album = Album(dictionary["path"])
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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:
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for subalbum in dictionary["albums"]:
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album.add_album(Album.from_dict(subalbum), cripple)
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album._sort()
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return album
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def to_dict(self, cripple=True):
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self._sort()
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subalbums = []
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if cripple:
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for sub in self._albums:
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if not sub.empty:
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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:
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if not sub.empty:
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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):
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for photo in self._photos:
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if trim_base(path) == photo._path:
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return photo
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return None
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class Photo(object):
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thumb_sizes = [ (75, True), (150, True), (640, False), (1024, False), (1600, False) ]
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def __init__(self, path, thumb_path=None, attributes=None):
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self._path = trim_base(path)
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self.is_valid = True
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image = None
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try:
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mtime = file_mtime(path)
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except KeyboardInterrupt:
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raise
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except:
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self.is_valid = False
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return
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if attributes is not None and attributes["dateTimeFile"] >= mtime:
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self._attributes = attributes
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return
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self._attributes = {}
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self._attributes["dateTimeFile"] = mtime
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self._attributes["mediaType"] = "photo"
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try:
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image = Image.open(path)
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except KeyboardInterrupt:
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raise
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except:
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self._video_metadata(path)
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if isinstance(image, Image.Image):
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self._photo_metadata(image)
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self._photo_thumbnails(image, thumb_path)
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elif self._attributes["mediaType"] == "video":
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self._video_thumbnails(thumb_path, path)
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self._video_transcode(thumb_path, path)
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else:
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self.is_valid = False
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return
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def _photo_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:
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raise
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except:
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return
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if not info:
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return
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exif = {}
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for tag, value in info.items():
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decoded = TAGS.get(tag, tag)
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if isinstance(value, str) or isinstance(value, unicode):
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value = value.strip().partition("\x00")[0]
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if (isinstance(decoded, str) or isinstance(decoded, unicode)) and decoded.startswith("DateTime"):
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try:
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value = datetime.strptime(value, '%Y:%m:%d %H:%M:%S')
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except KeyboardInterrupt:
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raise
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except:
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continue
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exif[decoded] = value
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if "Orientation" in exif:
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self._orientation = exif["Orientation"];
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if self._orientation in range(5, 9):
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self._attributes["size"] = (self._attributes["size"][1], self._attributes["size"][0])
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if self._orientation - 1 < len(self._photo_metadata.orientation_list):
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self._attributes["orientation"] = self._photo_metadata.orientation_list[self._orientation - 1]
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if "Make" in exif:
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self._attributes["make"] = exif["Make"]
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if "Model" in exif:
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self._attributes["model"] = exif["Model"]
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if "ApertureValue" in exif:
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self._attributes["aperture"] = exif["ApertureValue"]
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elif "FNumber" in exif:
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self._attributes["aperture"] = exif["FNumber"]
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if "FocalLength" in exif:
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self._attributes["focalLength"] = exif["FocalLength"]
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if "ISOSpeedRatings" in exif:
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self._attributes["iso"] = exif["ISOSpeedRatings"]
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if "ISO" in exif:
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self._attributes["iso"] = exif["ISO"]
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if "PhotographicSensitivity" in exif:
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self._attributes["iso"] = exif["PhotographicSensitivity"]
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if "ExposureTime" in exif:
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self._attributes["exposureTime"] = exif["ExposureTime"]
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if "Flash" in exif and exif["Flash"] in self._photo_metadata.flash_dictionary:
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try:
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self._attributes["flash"] = self._photo_metadata.flash_dictionary[exif["Flash"]]
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except KeyboardInterrupt:
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raise
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except:
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pass
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if "LightSource" in exif and exif["LightSource"] in self._photo_metadata.light_source_dictionary:
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try:
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self._attributes["lightSource"] = self._photo_metadata.light_source_dictionary[exif["LightSource"]]
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except KeyboardInterrupt:
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raise
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except:
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pass
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if "ExposureProgram" in exif and exif["ExposureProgram"] < len(self._photo_metadata.exposure_list):
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self._attributes["exposureProgram"] = self._photo_metadata.exposure_list[exif["ExposureProgram"]]
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if "SpectralSensitivity" in exif:
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self._attributes["spectralSensitivity"] = exif["SpectralSensitivity"]
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if "MeteringMode" in exif and exif["MeteringMode"] < len(self._photo_metadata.metering_list):
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self._attributes["meteringMode"] = self._photo_metadata.metering_list[exif["MeteringMode"]]
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if "SensingMethod" in exif and exif["SensingMethod"] < len(self._photo_metadata.sensing_method_list):
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self._attributes["sensingMethod"] = self._photo_metadata.sensing_method_list[exif["SensingMethod"]]
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if "SceneCaptureType" in exif and exif["SceneCaptureType"] < len(self._photo_metadata.scene_capture_type_list):
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self._attributes["sceneCaptureType"] = self._photo_metadata.scene_capture_type_list[exif["SceneCaptureType"]]
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if "SubjectDistanceRange" in exif and exif["SubjectDistanceRange"] < len(self._photo_metadata.subject_distance_range_list):
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self._attributes["subjectDistanceRange"] = self._photo_metadata.subject_distance_range_list[exif["SubjectDistanceRange"]]
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if "ExposureCompensation" in exif:
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self._attributes["exposureCompensation"] = exif["ExposureCompensation"]
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if "ExposureBiasValue" in exif:
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self._attributes["exposureCompensation"] = exif["ExposureBiasValue"]
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if "DateTimeOriginal" in exif:
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self._attributes["dateTimeOriginal"] = datetime.strptime(exif["DateTimeOriginal"], '%Y:%m:%d %H:%M:%S')
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if "DateTime" in exif:
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self._attributes["dateTime"] = datetime.strptime(exif["DateTime"], '%Y:%m:%d %H:%M:%S')
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_photo_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"}
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_photo_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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_photo_metadata.metering_list = ["Unknown", "Average", "Center-weighted average", "Spot", "Multi-spot", "Multi-segment", "Partial"]
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_photo_metadata.exposure_list = ["Not Defined", "Manual", "Program AE", "Aperture-priority AE", "Shutter speed priority AE", "Creative (Slow speed)", "Action (High speed)", "Portrait", "Landscape", "Bulb"]
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_photo_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"]
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_photo_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"]
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_photo_metadata.scene_capture_type_list = ["Standard", "Landscape", "Portrait", "Night scene"]
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_photo_metadata.subject_distance_range_list = ["Unknown", "Macro", "Close view", "Distant view"]
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def _video_metadata(self, path, original=True):
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p = VideoProbeWrapper().call('-show_format', '-show_streams', '-of', 'json', '-loglevel', '0', path)
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if p == False:
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self.is_valid = False
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return
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info = json.loads(p)
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for s in info["streams"]:
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if 'codec_type' in s and s['codec_type'] == 'video':
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self._attributes["mediaType"] = "video"
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self._attributes["size"] = (int(s["width"]), int(s["height"]))
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if "duration" in s:
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self._attributes["duration"] = s["duration"]
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if "tags" in s and "rotate" in s["tags"]:
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self._attributes["rotate"] = s["tags"]["rotate"]
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if original:
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self._attributes["originalSize"] = (int(s["width"]), int(s["height"]))
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break
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def _photo_thumbnail(self, original_path, thumb_path, size, square=False):
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try:
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image = Image.open(original_path)
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except KeyboardInterrupt:
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raise
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except:
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self.is_valid = False
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return
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mirror = image
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if self._orientation == 2:
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# Vertical Mirror
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mirror = image.transpose(Image.FLIP_LEFT_RIGHT)
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elif self._orientation == 3:
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# Rotation 180
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mirror = image.transpose(Image.ROTATE_180)
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elif self._orientation == 4:
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# Horizontal Mirror
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mirror = image.transpose(Image.FLIP_TOP_BOTTOM)
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elif self._orientation == 5:
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# Horizontal Mirror + Rotation 270
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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
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mirror = image.transpose(Image.ROTATE_270)
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elif self._orientation == 7:
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# Vertical Mirror + Rotation 270
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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
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mirror = image.transpose(Image.ROTATE_90)
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image = mirror
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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))
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if square:
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info_string += ", square"
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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()
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try:
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image = image.copy()
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except KeyboardInterrupt:
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raise
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except:
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try:
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image = image.copy() # we try again to work around PIL bug
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except KeyboardInterrupt:
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raise
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except:
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message("corrupt image", os.path.basename(original_path))
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self.is_valid = False
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return
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if square:
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if image.size[0] > image.size[1]:
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left = (image.size[0] - image.size[1]) / 2
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top = 0
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right = image.size[0] - ((image.size[0] - image.size[1]) / 2)
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bottom = image.size[1]
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else:
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left = 0
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top = (image.size[1] - image.size[0]) / 2
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right = image.size[0]
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bottom = image.size[1] - ((image.size[1] - image.size[0]) / 2)
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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:
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image.save(thumb_path, "JPEG", quality=88)
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except KeyboardInterrupt:
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try:
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os.unlink(thumb_path)
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except:
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pass
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raise
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except:
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message("save failure", os.path.basename(thumb_path))
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try:
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os.unlink(thumb_path)
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except:
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pass
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def _photo_thumbnails(self, original_path, thumb_path):
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# get number of cores on the system, and use all minus one
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num_of_cores = os.sysconf('SC_NPROCESSORS_ONLN') - 1
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pool = Pool(processes=num_of_cores)
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for size in Photo.thumb_sizes:
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pool.apply_async(make_photo_thumbs, args = (self, original_path, thumb_path, size))
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pool.close()
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pool.join()
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def _video_thumbnails(self, thumb_path, original_path):
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(tfd, tfn) = tempfile.mkstemp();
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p = VideoTranscodeWrapper().call('-i', original_path, '-f', 'image2', '-vsync', '1', '-vframes', '1', '-an', '-loglevel', 'quiet', tfn)
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if p == False:
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message("couldn't extract video frame", os.path.basename(original_path))
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os.unlink(tfn)
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self.is_valid = False
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return
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try:
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image = Image.open(tfn)
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except KeyboardInterrupt:
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raise
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except:
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message("couldn't open video thumbnail", tfn)
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os.unlink(tfn)
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self.is_valid = False
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return
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mirror = image
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if "rotate" in self._attributes:
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if self._attributes["rotate"] == "90":
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mirror = image.transpose(Image.ROTATE_270)
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elif self._attributes["rotate"] == "180":
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mirror = image.transpose(Image.ROTATE_180)
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elif self._attributes["rotate"] == "270":
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mirror = image.transpose(Image.ROTATE_90)
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for size in Photo.thumb_sizes:
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if size[1]:
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self._thumbnail(mirror, thumb_path, original_path, size[0], size[1])
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os.unlink(tfn)
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def _video_transcode(self, transcode_path, original_path):
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transcode_path = os.path.join(transcode_path, video_cache(self._path))
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# get number of cores on the system, and use all minus one
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num_of_cores = os.sysconf('SC_NPROCESSORS_ONLN') - 1
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transcode_cmd = ['-i', original_path, '-c:v', 'libvpx', '-crf', '10', '-b:v', '800k', '-c:a', 'libvorbis', '-f', 'webm', '-threads', num_of_cores, '-loglevel', '0', '-y']
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filters = []
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info_string = "%s -> webm" % (os.path.basename(original_path))
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message("transcoding", info_string)
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if os.path.exists(transcode_path) and file_mtime(transcode_path) >= self._attributes["dateTimeFile"]:
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self._video_metadata(transcode_path, False)
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return
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if "originalSize" in self._attributes and self._attributes["originalSize"][1] > 720:
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filters.append("scale=trunc(oh*a/2)*2:min(720\,iw)")
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if "rotate" in self._attributes:
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if self._attributes["rotate"] == "90":
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filters.append('transpose=1')
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elif self._attributes["rotate"] == "180":
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filters.append('vflip,hflip')
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elif self._attributes["rotate"] == "270":
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filters.append('transpose=2')
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if len(filters):
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transcode_cmd.append('-vf')
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transcode_cmd.append(','.join(filters))
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transcode_cmd.append(transcode_path)
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p = VideoTranscodeWrapper().call(*transcode_cmd)
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if p == False:
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message("transcoding failure", os.path.basename(original_path))
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try:
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os.unlink(transcode_path)
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except:
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pass
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self.is_valid = False
|
|
return
|
|
self._video_metadata(transcode_path, False)
|
|
|
|
@property
|
|
def name(self):
|
|
return os.path.basename(self._path)
|
|
def __str__(self):
|
|
return self.name
|
|
@property
|
|
def path(self):
|
|
return self._path
|
|
@property
|
|
def image_caches(self):
|
|
caches = []
|
|
if "mediaType" in self._attributes and self._attributes["mediaType"] == "video":
|
|
for size in Photo.thumb_sizes:
|
|
if size[1]:
|
|
caches.append(image_cache(self._path, size[0], size[1]))
|
|
caches.append(video_cache(self._path))
|
|
else:
|
|
caches = [image_cache(self._path, size[0], size[1]) for size in Photo.thumb_sizes]
|
|
return caches
|
|
@property
|
|
def date(self):
|
|
correct_date = None;
|
|
if not self.is_valid:
|
|
correct_date = datetime(1900, 1, 1)
|
|
if "dateTimeOriginal" in self._attributes:
|
|
correct_date = self._attributes["dateTimeOriginal"]
|
|
elif "dateTime" in self._attributes:
|
|
correct_date = self._attributes["dateTime"]
|
|
else:
|
|
correct_date = self._attributes["dateTimeFile"]
|
|
return correct_date
|
|
|
|
def __cmp__(self, other):
|
|
date_compare = cmp(self.date, other.date)
|
|
if date_compare == 0:
|
|
return cmp(self.name, other.name)
|
|
return date_compare
|
|
@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"]
|
|
for key, value in dictionary.items():
|
|
if key.startswith("dateTime"):
|
|
try:
|
|
dictionary[key] = datetime.strptime(dictionary[key], "%a %b %d %H:%M:%S %Y")
|
|
except KeyboardInterrupt:
|
|
raise
|
|
except:
|
|
pass
|
|
return Photo(path, None, dictionary)
|
|
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):
|
|
return obj.strftime("%a %b %d %H:%M:%S %Y")
|
|
if isinstance(obj, Album) or isinstance(obj, Photo):
|
|
return obj.to_dict()
|
|
return json.JSONEncoder.default(self, obj)
|
|
|