def sk_sync_status(person_id, date=None, threshold=0):
"""Determines the sync status of an individual shopkeeper
Args:
person_id (str): Shopkeeper ID
date (str, optional): ISO8601 date to use as a reference to determine the
sync status. Defaults to the country's current date.
threshold (int, optional): Number of days from the reference to determine
the sync status. Defaults to 0.
Returns:
list: [ls, sync_status, sync_threshold] where ls = last sync, sync_status a
boolean and sync_threshold the ISO8601 date that determines synced/not
synced.
"""
s = Search(using=elastic, index=CONFIG['ES']['PEOPLE']) \
.query('term', doctype='client') \
.query('term', person_id=person_id)
res = s[:10000].execute()
country = max([hit.country for hit in res.hits])
if date is None:
date = local_date_str(country)
ls = sync_log.df(person_id=person_id)
ls = ls['sync_date'].max()
ls = '' if (isinstance(ls, float)) else ls
sync_threshold = shift_date_str(date, days=-threshold)
sync_status = True if ls >= sync_threshold else False
return [ls, sync_status, sync_threshold]
def agent_sync_status(agent_id, date=None, threshold=0):
"""Determines the sync status of an individual agent.
Args:
agent_id (str): Agent ID
date (str, optional): ISO8601 date to use as a reference to determine the
sync status. Defaults to the country's current date.
threshold (int, optional): Number of days from the reference to determine
the sync status. Defaults to 0.
Returns:
list: [ls, sync_status, sync_threshold] where ls = last sync, sync_status a
boolean and sync_threshold the ISO8601 date that determines synced/not
synced.
"""
info = hierarchy.employee_info(agent_id)
country = info['country']
agent_map = agent_mapping.df()
if date is None:
date = local_date_str(country)
agent_id = (agent_map.loc[agent_id].squeeze()
if agent_id in agent_map.index else agent_id)
ls = sync_log.df(agent_id=agent_id)
ls = ls['sync_date'].max()
ls = '' if (isinstance(ls, float)) else ls
sync_threshold = shift_date_str(date, days=-threshold)
sync_status = True if ls >= sync_threshold else False
return [ls, sync_status, sync_threshold]
def coordinator_agent_sync_status(coordinator_id, date=None, threshold=0):
"""Determines the sync status of all agents under a coordinator.
Args:
coordinator_id (str): Coordinator ID
date (str, optional): ISO8601 date to use as a reference to determine the
sync status. Defaults to the country's current date.
threshold (int, optional): Number of days from the reference to determine
the sync status. Defaults to 0.
Returns:
dict: { 'coordinator_id', 'count', 'synced', 'perc_synced' } where
perc_synced = synced/count.
"""
info = hierarchy.employee_info(coordinator_id)
country = info['country']
agent_map = agent_mapping.df()
if date is None:
date = local_date_str(country)
agent_list = [
agent_map.loc[x].squeeze() if x in agent_map.index else x
for x in info['agent_id']
]
ls = sync_log.df(agent_id=agent_list)
ls = DataFrame(ls.groupby('agent_id').max()['sync_date'].fillna(''))
ls['sync_status'] = ls['sync_date'].apply(
lambda x: True
if x >= shift_date_str(date, days=-threshold) else False)
count = len(ls)
synced = ls['sync_status'].sum()
perc_synced = synced / count if count != 0 else 0
obj = {
'coordinator_id': coordinator_id,
'count': count,
'synced': synced,
'perc_synced': perc_synced
}
df = DataFrame(obj, index=[0])
return df
def sync_log(agent_id=None, person_id=None, f=None):
return _sync_log.df(agent_id, person_id, f)