def get_fund(code):
if code[0] == "F":
df = fundinfo(code[1:]).price
elif code[0] == "M":
df = mfundinfo(code[1:]).price
df["close"] = df["netvalue"]
return df[["date", "close"]]
def __init__(self,
*fundtradeobj,
status=None,
fetch=False,
save=False,
path="",
form="csv"):
if not fundtradeobj:
# warning: not a very good way to automatic generate these fund obj
# because there might be some funds use round_down for share calculation, ie, label=2 must be given
# unless you are sure corresponding funds are added to the droplist
fundtradeobj = []
for code in status.columns[1:]:
try:
fundtradeobj.append(
trade(
fundinfo(code,
fetch=fetch,
save=save,
path=path,
form=form),
status,
))
except FundTypeError:
fundtradeobj.append(
trade(
mfundinfo(code,
fetch=fetch,
save=save,
path=path,
form=form),
status,
))
self.fundtradeobj = tuple(fundtradeobj)
self.totcftable = self._mergecftb()
def __init__(self,
*fundtradeobj,
status=None,
property=None,
fetch=False,
save=False,
path="",
form="csv"):
if isinstance(status, record):
if not property:
property = getattr(status, "property", {})
status = status.status
elif not property:
property = {}
if not fundtradeobj:
# warning: not a very good way to automatic generate these fund obj
# because there might be some funds use round_down for share calculation, ie, label=2 must be given
# unless you are sure corresponding funds are added to the droplist
fundtradeobj = []
for code in status.columns[1:]:
# r1, d2, v4 p = r+d+v
p = property.get(code, 0)
round_label = p % 2
dividend_label = ((p - round_label) / 2) % 2
value_label = ((p - round_label - dividend_label) / 4) % 2
try:
fundtradeobj.append(
trade(
fundinfo(
code,
round_label=round_label,
dividend_label=dividend_label,
fetch=fetch,
save=save,
path=path,
form=form,
),
status,
))
except FundTypeError:
fundtradeobj.append(
trade(
mfundinfo(
code,
round_label=round_label,
value_label=value_label,
fetch=fetch,
save=save,
path=path,
form=form,
),
status,
))
self.fundtradeobj = tuple(fundtradeobj)
self.totcftable = self._mergecftb()
def get_info(self, code):
"""
get the correct new info object based on Fcode
:param code:
:return:
"""
if code in self.infos:
return self.infos[code]
if code.startswith("F"):
try:
return fundinfo(code[1:])
except FundTypeError:
return mfundinfo(code[1:])
elif code.startswith("M"):
return mfundinfo(code[1:])
else:
return vinfo(
code, start=(self.start - pd.Timedelta(days=180)).strftime("%Y-%m-%d")
)
def __init__(self,
*fundtradeobj,
status=None,
istatus=None,
property=None,
fetch=False,
save=False,
path="",
form="csv"):
if isinstance(status, record):
if not property:
property = getattr(status, "property", {})
status = status.status
elif not property:
property = {}
self.is_in = False
if fundtradeobj:
for t in fundtradeobj:
if isinstance(t, itrade):
self.is_in = True
break
else:
fundtradeobj = []
# warning: not a very good way to automatic generate these fund obj
# because there might be some funds use round_down for share calculation, ie, label=2 must be given
# unless you are sure corresponding funds are added to the droplist
fundcodelist = [f.code for f in fundtradeobj]
if status is not None:
for code in status.columns:
if code == "date":
continue
# r1, d2, v4 p = r+d+v
if code in fundcodelist:
continue
p = property.get(code, 0)
round_label = p % 2
dividend_label = ((p - round_label) / 2) % 2
value_label = ((p - round_label - dividend_label) / 4) % 2
try:
fundtradeobj.append(
trade(
fundinfo(
code,
round_label=round_label,
dividend_label=dividend_label,
fetch=fetch,
save=save,
path=path,
form=form,
),
status,
))
except FundTypeError:
fundtradeobj.append(
trade(
mfundinfo(
code,
round_label=round_label,
value_label=value_label,
fetch=fetch,
save=save,
path=path,
form=form,
),
status,
))
if istatus is not None:
self.is_in = True
if isinstance(istatus, irecord):
istatus = istatus.status
for code in istatus.code.unique():
if code not in fundcodelist and not code.startswith("#"):
fundtradeobj.append(itrade(code, istatus))
self.fundtradeobj = tuple(fundtradeobj)
self.totcftable = self._mergecftb()