def update_optional_data():
"""每天8点更新自选基金历史净值"""
yesterday = dt.yesterday()
records = FundHistoryNetWorth.objects.aggregate(
{'$match': {
'is_delete': 0
}}, {"$group": {
"_id": "$code",
'date': {
'$max': '$date'
}
}})
for rec in records:
code = rec['_id']
last_day = rec['date']
days = (yesterday - last_day).days
if days <= 0:
continue
net_worth_list = FundData.sync_get_section_net_worth(
code,
last_day.strftime("%Y-%m-%d"),
yesterday.strftime("%Y-%m-%d"),
raw=True)
fund_name = FundData.sync_get_fund_name(code)
for entry in net_worth_list:
FundHistoryNetWorth.create(code, fund_name,
float(entry[1]) * 1000, entry[0],
float(entry[3][:-1]))
def sync_get_last_month_net_worth(cls, code):
"""同步方法, 获取近一个月的净值, 包含非交易日"""
yesterday = dt.yesterday()
last_month = yesterday - datetime.timedelta(days=30)
url = cls.FUND_NET_WORTH_URL_BY_DATE % (
code, 1, 10, last_month.strftime("%Y-%m-%d"),
yesterday.strftime("%Y-%m-%d"))
response = requests.get(url)
lines = cls.data_re.findall(response.text)
res = list()
for i in range(1, len(lines)):
match = cls.line_re.match(lines[i])
if match:
entry = match.groups()
res.append(entry)
return res
async def get_yesterday_net_worth(cls, code, raw=False):
"""获取昨日净值"""
yesterday = dt.yesterday()
if yesterday.weekday() in {5, 6}:
pass
return await cls.get_date_net_worth(code, dt.yesterday_str(), raw)