def filter_by_parameters(self, parameters, base_track, target_track):
pattern = list(filter(lambda p: p.name == "pattern", parameters))
if len(pattern) > 0:
cp = CriticizePattern(pattern[0].value)
return cp.is_fit_pattern(base_track, target_track)
else:
return self.is_fit_track(base_track, target_track)
def request_to_parameters(self, criticize_type, track, request_parameters):
if criticize_type != TrackCriticizeType.Parameter and not track:
raise Exception("Target track is None")
parameters = []
if criticize_type == TrackCriticizeType.Parameter:
if "bpm" in request_parameters:
parameters.append(Parameter("bpm", request_parameters["bpm"]))
elif criticize_type == TrackCriticizeType.Pattern:
criticize = CriticizePattern(pattern=request_parameters["pattern"])
direction = criticize.get_direction()
parameters.append(Parameter("pattern", criticize.pattern))
for c in criticize.get_targets():
parameters.append(Parameter(c.name, vector_utils.to_value(getattr(track, c.name)), direction))
elif criticize_type == TrackCriticizeType.Like:
for c in self.__get_criticizables():
parameters.append(Parameter(c, vector_utils.to_value(getattr(track, c))))
if "q" in request_parameters and request_parameters["q"]:
parameters.append(Parameter("q", request_parameters["q"]))
if Parameter.first_or_default("genre", parameters) and not Parameter.first_or_default("genre_score", parameters):
genre = Parameter.first_or_default("genre", parameters)
if Track.genre_to_score(genre):
g_score = Track.genre_to_score(genre)
parameters.append(Parameter("genre_score", g_score))
return parameters
