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update

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This commit is contained in:
wuaho 2021-07-02 11:40:40 +08:00
parent 0888cc88fc
commit ef3dd97a13
2 changed files with 26 additions and 7 deletions
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24
api/api_v1/endpoints/query.py
View File

@ -351,6 +351,7 @@ async def scatter_model(
df = await ckdb.query_dataframe(sql)
interval_type = res['interval_type']
analysis = res['analysis']
groupby = res['groupby']
quota_interval_arr = res['quota_interval_arr']
if analysis != 'number_of_days':
max_v = int(df['values'].max())
@ -369,15 +370,30 @@ async def scatter_model(
resp['label'].append(f'[{quota_interval_arr[i]},{v})')
bins.append(v)
summary_data = None
# todo 整体的，需要补充分组的
# 这是整体的
for key, tmp_df in df.groupby('date'):
bins_s = pd.cut(tmp_df['values'], bins=bins,
right=False).value_counts()
bins_s.sort_index(inplace=True)
total = int(bins_s.sum())
resp['list'][key.strftime('%Y-%m-%d')] = {'n': bins_s.to_list(), 'total': total,
'p': round(bins_s * 100 / total, 2).to_list()}
resp['list'][key.strftime('%Y-%m-%d')] = dict()
resp['list'][key.strftime('%Y-%m-%d')]['总体'] = {'n': bins_s.to_list(), 'total': total,
'p': round(bins_s * 100 / total, 2).to_list(),
'title': '总体'}
# 分组的
if groupby:
for key, tmp_df in df.groupby(['date', *groupby]):
bins_s = pd.cut(tmp_df['values'], bins=bins,
right=False).value_counts()
bins_s.sort_index(inplace=True)
total = int(bins_s.sum())
title = '.'.join(key[1:])
date = key[0]
resp['list'][date.strftime('%Y-%m-%d')][title] = {'n': bins_s.to_list(), 'total': total,
'p': round(bins_s * 100 / total, 2).to_list(),
'title': title
}
return schemas.Msg(code=0, msg='ok', data=resp)
if interval_type == 'def' and analysis == 'number_of_days':

9
models/behavior_analysis.py
View File

@ -83,6 +83,7 @@ class BehaviorAnalysis:
user_filter = []
event_filter = []
filters = (*self.global_filters, *ext_filters) if g_f else (*ext_filters,)
filters = [] if filters == ([],) else filters
for item in filters:
if item['tableType'] == 'user':
where = user_filter
@ -297,15 +298,16 @@ ORDER BY level
event_date_col >= self.start_date,
event_date_col <= self.end_date,
event_name_col == event_name
]
event_filter, _ = self.handler_filts(self.events[0]['filts'])
where.extend(event_filter)
values_col = func.count().label('values')
if analysis in ['number_of_days', 'number_of_hours']:
values_col = func.count(func.distinct(e_account_id_col)).label('values')
if analysis in ['times', 'number_of_days', 'number_of_hours']:
qry = sa.select(event_date_col, values_col) \
qry = sa.select(event_date_col, *self.groupby, values_col) \
.where(and_(*where)) \
.group_by(event_date_col, *self.groupby, e_account_id_col)
@ -315,7 +317,8 @@ ORDER BY level
'sql': sql,
'interval_type': event['intervalType'],
'analysis': analysis,
'quota_interval_arr': quota_interval_arr
'quota_interval_arr': quota_interval_arr,
'groupby': [i.key for i in self.groupby]
}
elif event.get('quota'):
event_attr_col = getattr(self.event_tbl.c, event['quota'])