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@ -740,6 +740,9 @@ async def scatter_model(
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for i, v in enumerate(quota_interval_arr[1:]):
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resp['label'].append(f'[{quota_interval_arr[i]},{v})')
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bins.append(v)
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# 合计的
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if res['time_particle'] == 'total':
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df['date'] = '合计'
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# 这是整体的
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for key, tmp_df in df.groupby('date'):
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@ -747,6 +750,12 @@ async def scatter_model(
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right=False).value_counts()
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bins_s.sort_index(inplace=True)
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total = int(bins_s.sum())
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if res['time_particle'] == 'total':
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resp['list']['合计'] = dict()
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resp['list']['合计']['总体'] = {'n': bins_s.to_list(), 'total': total,
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'p': round(bins_s * 100 / total, 2).to_list(),
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'title': '总体'}
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else:
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resp['list'][key.strftime('%Y-%m-%d')] = dict()
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resp['list'][key.strftime('%Y-%m-%d')]['总体'] = {'n': bins_s.to_list(), 'total': total,
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'p': round(bins_s * 100 / total, 2).to_list(),
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@ -625,7 +625,11 @@ ORDER BY level
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values_col = func.count(func.distinct(e_account_id_col)).label('values')
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if analysis in ['times', 'number_of_days', 'number_of_hours']:
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if self.time_particle == 'total':
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qry = sa.select( *self.groupby, values_col) \
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.where(and_(*where)) \
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.group_by( *self.groupby)
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else:
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qry = sa.select(event_date_col, *self.groupby, values_col) \
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.where(and_(*where)) \
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.group_by(event_date_col, *self.groupby)
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@ -644,7 +648,12 @@ ORDER BY level
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}
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elif event.get('quota'):
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event_attr_col = getattr(self.event_tbl.c, event['quota'])
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if self.time_particle == 'total':
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qry = sa.select( e_account_id_col,
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settings.CK_FUNC[analysis](event_attr_col).label('values')) \
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.where(and_(*where)) \
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.group_by( *self.groupby, e_account_id_col)
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else:
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qry = sa.select(event_date_col, e_account_id_col,
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settings.CK_FUNC[analysis](event_attr_col).label('values')) \
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.where(and_(*where)) \
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