photofloat/scanner/PhotoAlbum.py
2015-05-04 19:46:58 +02:00

492 lines
18 KiB
Python

from CachePath import *
from datetime import datetime
import json
import os
import os.path
from PIL import Image
from PIL.ExifTags import TAGS
from multiprocessing import Pool
import gc
import tempfile
from VideoToolWrapper import *
def make_photo_thumbs(self, original_path, thumb_path, size):
# The pool methods use a queue.Queue to pass tasks to the worker processes.
# Everything that goes through the queue.Queue must be pickable, and since
# self._photo_thumbnail is not defined at the top level, it's not pickable.
# This is why we have this "dummy" function, so that it's pickable.
self._photo_thumbnail(original_path, thumb_path, size[0], size[1])
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
def photos(self):
return self._photos
@property
def albums(self):
return self._albums
@property
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:
return datetime(1900, 1, 1)
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
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
@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
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"]:
album.add_photo(Photo.from_dict(photo, untrim_base(album.path)))
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()
subalbums = []
if cripple:
for sub in self._albums:
if not sub.empty:
subalbums.append({ "path": trim_base_custom(sub.path, self._path), "date": sub.date })
else:
for sub in self._albums:
if not sub.empty:
subalbums.append(sub)
return { "path": self.path, "date": self.date, "albums": subalbums, "photos": self._photos }
def photo_from_path(self, path):
for photo in self._photos:
if trim_base(path) == photo._path:
return photo
return None
class Photo(object):
thumb_sizes = [ (75, True), (150, True), (640, False), (1024, False), (1600, False) ]
def __init__(self, path, thumb_path=None, attributes=None):
self._path = trim_base(path)
self.is_valid = True
image = None
try:
mtime = file_mtime(path)
except KeyboardInterrupt:
raise
except:
self.is_valid = False
return
if attributes is not None and attributes["dateTimeFile"] >= mtime:
self._attributes = attributes
return
self._attributes = {}
self._attributes["dateTimeFile"] = mtime
self._attributes["mediaType"] = "photo"
try:
image = Image.open(path)
except KeyboardInterrupt:
raise
except:
self._video_metadata(path)
if isinstance(image, Image.Image):
self._photo_metadata(image)
self._photo_thumbnails(image, thumb_path)
elif self._attributes["mediaType"] == "video":
self._video_thumbnails(thumb_path, path)
self._video_transcode(thumb_path, path)
else:
self.is_valid = False
return
def _photo_metadata(self, image):
self._attributes["size"] = image.size
self._orientation = 1
try:
info = image._getexif()
except KeyboardInterrupt:
raise
except:
return
if not info:
return
exif = {}
for tag, value in info.items():
decoded = TAGS.get(tag, tag)
if isinstance(value, str) or isinstance(value, unicode):
value = value.strip().partition("\x00")[0]
if (isinstance(decoded, str) or isinstance(decoded, unicode)) and decoded.startswith("DateTime"):
try:
value = datetime.strptime(value, '%Y:%m:%d %H:%M:%S')
except KeyboardInterrupt:
raise
except:
continue
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])
if self._orientation - 1 < len(self._photo_metadata.orientation_list):
self._attributes["orientation"] = self._photo_metadata.orientation_list[self._orientation - 1]
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"]
elif "FNumber" in exif:
self._attributes["aperture"] = exif["FNumber"]
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"]
if "Flash" in exif and exif["Flash"] in self._photo_metadata.flash_dictionary:
try:
self._attributes["flash"] = self._photo_metadata.flash_dictionary[exif["Flash"]]
except KeyboardInterrupt:
raise
except:
pass
if "LightSource" in exif and exif["LightSource"] in self._photo_metadata.light_source_dictionary:
try:
self._attributes["lightSource"] = self._photo_metadata.light_source_dictionary[exif["LightSource"]]
except KeyboardInterrupt:
raise
except:
pass
if "ExposureProgram" in exif and exif["ExposureProgram"] < len(self._photo_metadata.exposure_list):
self._attributes["exposureProgram"] = self._photo_metadata.exposure_list[exif["ExposureProgram"]]
if "SpectralSensitivity" in exif:
self._attributes["spectralSensitivity"] = exif["SpectralSensitivity"]
if "MeteringMode" in exif and exif["MeteringMode"] < len(self._photo_metadata.metering_list):
self._attributes["meteringMode"] = self._photo_metadata.metering_list[exif["MeteringMode"]]
if "SensingMethod" in exif and exif["SensingMethod"] < len(self._photo_metadata.sensing_method_list):
self._attributes["sensingMethod"] = self._photo_metadata.sensing_method_list[exif["SensingMethod"]]
if "SceneCaptureType" in exif and exif["SceneCaptureType"] < len(self._photo_metadata.scene_capture_type_list):
self._attributes["sceneCaptureType"] = self._photo_metadata.scene_capture_type_list[exif["SceneCaptureType"]]
if "SubjectDistanceRange" in exif and exif["SubjectDistanceRange"] < len(self._photo_metadata.subject_distance_range_list):
self._attributes["subjectDistanceRange"] = self._photo_metadata.subject_distance_range_list[exif["SubjectDistanceRange"]]
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"] = datetime.strptime(exif["DateTimeOriginal"], '%Y:%m:%d %H:%M:%S')
if "DateTime" in exif:
self._attributes["dateTime"] = datetime.strptime(exif["DateTime"], '%Y:%m:%d %H:%M:%S')
_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"}
_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"}
_photo_metadata.metering_list = ["Unknown", "Average", "Center-weighted average", "Spot", "Multi-spot", "Multi-segment", "Partial"]
_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"]
_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"]
_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"]
_photo_metadata.scene_capture_type_list = ["Standard", "Landscape", "Portrait", "Night scene"]
_photo_metadata.subject_distance_range_list = ["Unknown", "Macro", "Close view", "Distant view"]
def _video_metadata(self, path, original=True):
p = VideoProbeWrapper().call('-show_format', '-show_streams', '-of', 'json', '-loglevel', '0', path)
if p == False:
self.is_valid = False
return
info = json.loads(p)
for s in info["streams"]:
if 'codec_type' in s and s['codec_type'] == 'video':
self._attributes["mediaType"] = "video"
self._attributes["size"] = (int(s["width"]), int(s["height"]))
if "duration" in s:
self._attributes["duration"] = s["duration"]
if "tags" in s and "rotate" in s["tags"]:
self._attributes["rotate"] = s["tags"]["rotate"]
if original:
self._attributes["originalSize"] = (int(s["width"]), int(s["height"]))
break
def _photo_thumbnail(self, original_path, thumb_path, size, square=False):
try:
image = Image.open(original_path)
except KeyboardInterrupt:
raise
except:
self.is_valid = False
return
mirror = image
if self._orientation == 2:
# Vertical Mirror
mirror = image.transpose(Image.FLIP_LEFT_RIGHT)
elif self._orientation == 3:
# Rotation 180
mirror = image.transpose(Image.ROTATE_180)
elif self._orientation == 4:
# Horizontal Mirror
mirror = image.transpose(Image.FLIP_TOP_BOTTOM)
elif self._orientation == 5:
# Horizontal Mirror + Rotation 270
mirror = image.transpose(Image.FLIP_TOP_BOTTOM).transpose(Image.ROTATE_270)
elif self._orientation == 6:
# Rotation 270
mirror = image.transpose(Image.ROTATE_270)
elif self._orientation == 7:
# Vertical Mirror + Rotation 270
mirror = image.transpose(Image.FLIP_LEFT_RIGHT).transpose(Image.ROTATE_270)
elif self._orientation == 8:
# Rotation 90
mirror = image.transpose(Image.ROTATE_90)
image = mirror
thumb_path = os.path.join(thumb_path, image_cache(self._path, size, square))
info_string = "%s -> %spx" % (os.path.basename(original_path), str(size))
if square:
info_string += ", square"
message("thumbing", info_string)
if os.path.exists(thumb_path) and file_mtime(thumb_path) >= self._attributes["dateTimeFile"]:
return
gc.collect()
try:
image = image.copy()
except KeyboardInterrupt:
raise
except:
try:
image = image.copy() # we try again to work around PIL bug
except KeyboardInterrupt:
raise
except:
message("corrupt image", os.path.basename(original_path))
self.is_valid = False
return
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))
gc.collect()
image.thumbnail((size, size), Image.ANTIALIAS)
try:
image.save(thumb_path, "JPEG", quality=88)
except KeyboardInterrupt:
try:
os.unlink(thumb_path)
except:
pass
raise
except:
message("save failure", os.path.basename(thumb_path))
try:
os.unlink(thumb_path)
except:
pass
def _photo_thumbnails(self, original_path, thumb_path):
# get number of cores on the system, and use all minus one
num_of_cores = os.sysconf('SC_NPROCESSORS_ONLN') - 1
pool = Pool(processes=num_of_cores)
for size in Photo.thumb_sizes:
pool.apply_async(make_photo_thumbs, args = (self, original_path, thumb_path, size))
pool.close()
pool.join()
def _video_thumbnails(self, thumb_path, original_path):
(tfd, tfn) = tempfile.mkstemp();
p = VideoTranscodeWrapper().call('-i', original_path, '-f', 'image2', '-vsync', '1', '-vframes', '1', '-an', '-loglevel', 'quiet', tfn)
if p == False:
message("couldn't extract video frame", os.path.basename(original_path))
os.unlink(tfn)
self.is_valid = False
return
try:
image = Image.open(tfn)
except KeyboardInterrupt:
raise
except:
message("couldn't open video thumbnail", tfn)
os.unlink(tfn)
self.is_valid = False
return
mirror = image
if "rotate" in self._attributes:
if self._attributes["rotate"] == "90":
mirror = image.transpose(Image.ROTATE_270)
elif self._attributes["rotate"] == "180":
mirror = image.transpose(Image.ROTATE_180)
elif self._attributes["rotate"] == "270":
mirror = image.transpose(Image.ROTATE_90)
for size in Photo.thumb_sizes:
if size[1]:
self._thumbnail(mirror, thumb_path, original_path, size[0], size[1])
os.unlink(tfn)
def _video_transcode(self, transcode_path, original_path):
transcode_path = os.path.join(transcode_path, video_cache(self._path))
# get number of cores on the system, and use all minus one
num_of_cores = os.sysconf('SC_NPROCESSORS_ONLN') - 1
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']
filters = []
info_string = "%s -> webm" % (os.path.basename(original_path))
message("transcoding", info_string)
if os.path.exists(transcode_path) and file_mtime(transcode_path) >= self._attributes["dateTimeFile"]:
self._video_metadata(transcode_path, False)
return
if "originalSize" in self._attributes and self._attributes["originalSize"][1] > 720:
filters.append("scale=trunc(oh*a/2)*2:min(720\,iw)")
if "rotate" in self._attributes:
if self._attributes["rotate"] == "90":
filters.append('transpose=1')
elif self._attributes["rotate"] == "180":
filters.append('vflip,hflip')
elif self._attributes["rotate"] == "270":
filters.append('transpose=2')
if len(filters):
transcode_cmd.append('-vf')
transcode_cmd.append(','.join(filters))
transcode_cmd.append(transcode_path)
p = VideoTranscodeWrapper().call(*transcode_cmd)
if p == False:
message("transcoding failure", os.path.basename(original_path))
try:
os.unlink(transcode_path)
except:
pass
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)