def get_year_segment(self, num_segments=2):
"""
Returns the year segment this season belongs to.
"""
season_midpoint = (self.start + (self.end - self.start) / 2).date()
return YearSegment.by_date(season_midpoint, num_segments)
def get_year_segment(self, num_segments=2):
"""
Returns the year segment this season belongs to.
"""
season_midpoint = (self.start + (self.end - self.start) / 2).date()
return YearSegment.by_date(season_midpoint, num_segments)
def get_context_data(self, *args, **kwargs):
context = super(DetailView, self).get_context_data(*args, **kwargs)
# Now, let's generate the data for the statistics
profile = context['profile']
season_segments = {season.pk: season.get_year_segment()
for season in profile.participated_seasons}
if not season_segments:
return context
# Compute the beggining and the end of the competitor's "career"
# We go back one segment to ensure timespan is at least two segments,
# otherwise this may cause problems with graphs
career_start = (min(season_segments.values()) if len(season_segments.values()) > 1
else min(season_segments.values()).back())
career_end = max(season_segments.values())
career_timespan = list(YearSegment.between_segments(career_start,
career_end))
data = dict()
for competition in profile.participated_competitions:
# Mark all the segments when the user competed in this competition
# and his percentile
competed_segments = {
s.get_year_segment(): s.get_user_percentile(profile.user) * 100
for s in filter(lambda c: c.competition == competition,
profile.participated_seasons)
}
data[100 + competition.pk] = competed_segments
data[competition.pk] = [competed_segments.get(segment, 0.0)
for segment in career_timespan]
context['competition_stats'] = data
context['all_season_segments'] = career_timespan
return context