""" PhotoInfo methods to expose computed score info from the library """
import logging
from dataclasses import dataclass
from .._constants import _PHOTOS_4_VERSION
@dataclass(frozen=True)
class ScoreInfo:
""" Computed photo score info associated with a photo from the Photos library """
overall: float
curation: float
promotion: float
highlight_visibility: float
behavioral: float
failure: float
harmonious_color: float
immersiveness: float
interaction: float
interesting_subject: float
intrusive_object_presence: float
lively_color: float
low_light: float
noise: float
pleasant_camera_tilt: float
pleasant_composition: float
pleasant_lighting: float
pleasant_pattern: float
pleasant_perspective: float
pleasant_post_processing: float
pleasant_reflection: float
pleasant_symmetry: float
sharply_focused_subject: float
tastefully_blurred: float
well_chosen_subject: float
well_framed_subject: float
well_timed_shot: float
@property
def score(self):
""" Computed score information for a photo
Returns:
ScoreInfo instance
"""
if self._db._db_version <= _PHOTOS_4_VERSION:
logging.debug(f"score not implemented for this database version")
return None
try:
return self._scoreinfo # pylint: disable=access-member-before-definition
except AttributeError:
try:
scores = self._db._db_scoreinfo_uuid[self.uuid]
self._scoreinfo = ScoreInfo(
overall=scores["overall_aesthetic"],
curation=scores["curation"],
promotion=scores["promotion"],
highlight_visibility=scores["highlight_visibility"],
behavioral=scores["behavioral"],
failure=scores["failure"],
harmonious_color=scores["harmonious_color"],
immersiveness=scores["immersiveness"],
interaction=scores["interaction"],
interesting_subject=scores["interesting_subject"],
intrusive_object_presence=scores["intrusive_object_presence"],
lively_color=scores["lively_color"],
low_light=scores["low_light"],
noise=scores["noise"],
pleasant_camera_tilt=scores["pleasant_camera_tilt"],
pleasant_composition=scores["pleasant_composition"],
pleasant_lighting=scores["pleasant_lighting"],
pleasant_pattern=scores["pleasant_pattern"],
pleasant_perspective=scores["pleasant_perspective"],
pleasant_post_processing=scores["pleasant_post_processing"],
pleasant_reflection=scores["pleasant_reflection"],
pleasant_symmetry=scores["pleasant_symmetry"],
sharply_focused_subject=scores["sharply_focused_subject"],
tastefully_blurred=scores["tastefully_blurred"],
well_chosen_subject=scores["well_chosen_subject"],
well_framed_subject=scores["well_framed_subject"],
well_timed_shot=scores["well_timed_shot"],
)
return self._scoreinfo
except KeyError:
self._scoreinfo = ScoreInfo(
overall=0.0,
curation=0.0,
promotion=0.0,
highlight_visibility=0.0,
behavioral=0.0,
failure=0.0,
harmonious_color=0.0,
immersiveness=0.0,
interaction=0.0,
interesting_subject=0.0,
intrusive_object_presence=0.0,
lively_color=0.0,
low_light=0.0,
noise=0.0,
pleasant_camera_tilt=0.0,
pleasant_composition=0.0,
pleasant_lighting=0.0,
pleasant_pattern=0.0,
pleasant_perspective=0.0,
pleasant_post_processing=0.0,
pleasant_reflection=0.0,
pleasant_symmetry=0.0,
sharply_focused_subject=0.0,
tastefully_blurred=0.0,
well_chosen_subject=0.0,
well_framed_subject=0.0,
well_timed_shot=0.0,
)
return self._scoreinfo