def entrust_list(self):
"""
获取委托单列表
return:DataFrame
----------
ordersno:委托单号
stkcode:证券代码
stkname:证券名称
bsflagState:买卖标志
orderqty:委托数量
matchqty:成交数量
orderprice:委托价格
operdate:交易日期
opertime:交易时间
orderdate:下单日期
state:状态
"""
txtdata = self.s.get(vs.ENTRUST_LIST_URL %
(vs.P_TYPE['https'], vs.DOMAINS['csc'],
vs.PAGES['entrustlist'], utils.nowtime_str()))
jsonobj = utils.get_jdata(txtdata)
df = pd.DataFrame(jsonobj['data'], columns=vs.ENTRUST_LIST_COLS)
df.columns = [
'委托单号', '证券代码', '证券名称', '买卖标志', '委托数量', '成交数量', '委托价格', '交易日期',
'交易时间', '下单日期', '状态'
]
return df
def _trading(self, stkcode, price, count, amount, tradeflag, tradetype):
txtdata = self.s.get(
vs.TRADE_CHECK_URL %
(vs.P_TYPE['https'], vs.DOMAINS['csc'], vs.PAGES['tradecheck'],
tradeflag, stkcode, tradetype, utils.nowtime_str()))
jsonobj = utils.get_jdata(txtdata)
list = jsonobj['returnList'][0]
secuid = list['buysSecuid']
fundavl = list['fundavl']
stkname = list['stkname']
if secuid is not None:
if tradeflag == 'B':
buytype = vs.BUY
count = count if count else amount // price // 100 * 100
else:
buytype = vs.SELL
count = count if count else amount // price
tradeparams = dict(stkname=stkname,
stkcode=stkcode,
secuid=secuid,
buytype=buytype,
bsflag=tradeflag,
maxstkqty='',
buycount=count,
buyprice=price,
_=utils.nowtime_str())
tradeResult = self.s.post(
vs.TRADE_URL %
(vs.P_TYPE['https'], vs.DOMAINS['csc'], vs.PAGES['trade']),
params=tradeparams)
return tradeResult
return None
def _get_position(self):
self.s.headers.update(vs.AGENT)
txtdata = self.s.get(
vs.BASE_URL %
(vs.P_TYPE['https'], vs.DOMAINS['csc'], vs.PAGES['position']))
jsonobj = utils.get_jdata(txtdata)
df = pd.DataFrame(jsonobj['data'], columns=vs.POSITION_COLS)
df.columns = ['证券代码', '证券名称', '证券数量', '可用数量', '最新价格', '成本价', '参考盈亏']
return df
def _get_baseinfo(self):
self.s.headers.update(vs.AGENT)
txtdata = self.s.get(
vs.BASE_URL %
(vs.P_TYPE['https'], vs.DOMAINS['csc'], vs.PAGES['baseInfo']))
jsonobj = utils.get_jdata(txtdata)
stkdata = jsonobj['data']['moneytype0']
stkdata['fundid'] = jsonobj['fundid']
res = pd.Series(stkdata)
res.index = [
'代销份额', '可用余额', '帐户余额', '帐户ID', '基金市值', '股票市值', '集合理财', '总资产',
'OTC份额'
]
return res
def buy(self, stkcode, price=0, count=0, amount=0):
"""
买入证券
params
---------
stkcode:股票代码，string
pricce:委托价格，int
count:买入数量
amount:买入金额
"""
jsonobj = utils.get_jdata(
self._trading(stkcode, price, count, amount, 'B', 'buy'))
res = True if jsonobj['result'] == 'true' else False
if res == True:
print '委托买入成功！'
else:
print '委托买入失败！请检查网络或账户是否断开'
return res
def sell(self, stkcode, price=0, count=0, amount=0):
"""
卖出证券
params
---------
stkcode:股票代码，string
pricce:委托价格，int
count:卖出数量
amount:卖出金额
"""
jsonobj = utils.get_jdata(
self._trading(stkcode, price, count, amount, 'S', 'sell'))
res = True if jsonobj['result'] == 'true' else False
if res == True:
print '委托卖出成功！'
else:
print '委托卖出失败！请检查网络或账户是否断开'
return res
def deal_list(self, begin=None, end=None):
"""
获取成交列表
params
-----------
begin:开始日期 YYYYMMDD
end:结束日期 YYYYMMDD
return: DataFrame
-----------
ordersno:委托单号
matchcode:成交编号
trddate:交易日期
matchtime:交易时间
stkcode:证券代码
stkname:证券名称
bsflagState:买卖标志
orderprice:委托价格
matchprice:成交价格
orderqty:委托数量
matchqty:成交数量
matchamt:成交金额
"""
daterange = ''
if (begin is None) & (end is None):
selecttype = 'intraDay'
else:
daterange = vs.DEAL_DATE_RANGE % (begin, end)
selecttype = 'all'
txtdata = self.s.get(
vs.DEAL_LIST_URL %
(vs.P_TYPE['https'], vs.DOMAINS['csc'], vs.PAGES['deallist'],
selecttype, daterange, utils.nowtime_str()))
jsonobj = utils.get_jdata(txtdata)
df = pd.DataFrame(jsonobj['data'], columns=vs.DEAL_LIST_COLS)
df.columns = [
'委托单号', '成交编号', '交易日期', '交易时间', '证券代码', '证券名称', '买卖标志', '委托价格',
'成交价格', '委托数量', '成交数量', '成交金额'
]
return df
def update_repo(user_name, repo_name, last_commit_sha):
d = get_jdata()
d[user_name][repo_name] = last_commit_sha
with open(COMMITS_JSON_FILENAME, 'w') as jf:
json.dump(d, jf, indent=4)