def update_fund_nav(prefix: str, mongo=None):
if not mongo:
mongo = Mongo()
for code in mongo.get_list(prefix):
ms = mongo.find_last(code)['_id']
start = datetime.fromtimestamp(ms / 1000.0).strftime('%Y-%m-%d')
print(code, start)
df = JqData.fund_nav_daily(code.lstrip(prefix), start)
if df.empty:
print('empty')
continue
print(df)
print()
mongo.save(code, df)
def save_scales(prefix: str, codes=None, mongo=None):
if not mongo:
mongo = Mongo()
result = []
lst = codes if codes else mongo.get_list(prefix)
for code in lst:
code = code.lstrip(prefix)
dic = {'_id': code}
dic['period_end'], dic['total_tna'] = JqData.get_scale(code)
result.append(dic)
df = pd.DataFrame(result)
df['_id'] = df['_id'].apply(lambda x: int(x))
df['total_tna'] = df['total_tna'].apply(lambda x: round(float(x / 100000000), 2))
df = df.sort_values('_id')
print(df)
mongo.save('funds_indicator', df)
