def get_data(data,date_from):
first_date = {}
date_lists = {}
timestamps = {}
for d_gap in [7,28,90]:
if d_gap not in first_date:
first_date[d_gap] = lsl.get_date(date_from,d_gap)
date_lists[d_gap] =[]
date_lists[d_gap].append(first_date[d_gap])
for d in range(0,d_gap):
date_lists[d_gap].append(lsl.increment_date(date_lists[d_gap][-1],1))
for subid in data:
if subid not in timestamps:
timestamps[subid] = {}
dates_data = data[subid]
for d_gap in [7,28,90]:
dates = date_lists[d_gap]
print dates
if d_gap not in timestamps[subid]:
timestamps[subid][d_gap] = []
for date1 in dates:
if date1 in dates_data:
for ts in dates_data[date1].keys():
timestamps[subid][d_gap].append(int(ts))
sav_file = "../sav_files/axaie_data_for_production_timestamps_{0}.sav".format(date_from)
with open(sav_file,'w') as g:
pickle.dump(timestamps,g)
def get_dates(date_from):
first_date = {}
date_lists = {}
timestamps = {}
for d_gap in [7,28,90]:
if d_gap not in first_date:
first_date[d_gap] = lsl.get_date(date_from,d_gap)
date_lists[d_gap] =[]
date_lists[d_gap].append(first_date[d_gap])
for d in range(0,d_gap):
date_lists[d_gap].append(lsl.increment_date(date_lists[d_gap][-1],1))
return date_lists