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# -*- coding: utf-8 -*-
# Copyright (c) Huoty, All rights reserved
# Author: Huoty <sudohuoty@163.com>
import datetime
import functools
from math import isclose
from itertools import zip_longest
import jqdatahttp
from jqdatahttp import JQDataApi
def allclose(la, lb, *, rel_tol=1e-09, abs_tol=0.0):
for a, b in zip_longest(la, lb):
assert isclose(a, b, rel_tol=rel_tol, abs_tol=abs_tol)
return True
class TestJQDataApi(object):
def setup_class(cls):
api = JQDataApi()
api.auto_format_data = True
cls.api = api
def teardown_class(cls):
cls.api.logout()
def test_base(self):
api = self.api
print(api.get_token())
data = api.get_security_info(code="000001.XSHE")
print(data)
data = api.get_index_stocks(code="000300.XSHG", date="2019-01-09")
print(data)
data = api.get_fundamentals(code='605388.XSHG', date='2020-08-18',
count=10, table='valuation')
print(data)
data = api.get_price(code="300073.XSHE", unit='1m', count=100,
end_date='2020-09-01')
print(data)
data = api.get_price_period(code="300073.XSHE", unit='1m',
date='2020-09-01',
end_date='2020-09-01 15:00:00')
print(data)
def test_get_trade_days():
today = datetime.date.today()
Date = datetime.date
get_trade_days = jqdatahttp.get_trade_days
assert len(get_trade_days()) > 250 * (today.year - 2015)
assert len(get_trade_days(Date(2018, 4, 16), Date(2018, 4, 18))) == 3
date = Date(2018, 4, 19)
assert get_trade_days(start_date=date)[0] == date
assert get_trade_days(end_date=date)[-1] == date
assert get_trade_days(start_date=date, count=1) == [date]
assert get_trade_days(start_date=date, count=3)[-1] == Date(2018, 4, 23)
assert get_trade_days(end_date=date, count=5)[0] == Date(2018, 4, 13)
def test_is_trade_date():
assert jqdatahttp.is_trading_day(datetime.date(2017, 12, 1))
assert not jqdatahttp.is_trading_day(datetime.date(2017, 11, 25))
assert jqdatahttp.is_trading_day('2022-04-01')
assert not jqdatahttp.is_trading_day('2022-04-02')
def test_get_security_info():
security_info1 = jqdatahttp.get_security_info("600519.XSHG")
assert security_info1.display_name == "贵州茅台"
assert security_info1.start_date == datetime.date(2001, 8, 27)
security_info2 = jqdatahttp.get_security_info("000300.XSHG")
assert security_info2.start_date == datetime.date(2005, 4, 8)
assert security_info2.type == "index"
def test_get_all_securities():
data = jqdatahttp.get_all_securities(['index'])
assert len(data)
data2 = jqdatahttp.get_all_securities(['fja', 'fjb'])
assert len(data2)
def test_get_ticks():
data = jqdatahttp.get_ticks('600519.XSHG', count=10,
end_dt='2021-07-07 10:21:00')
assert allclose(data.iloc[0, 1:4], [2020.01, 2028.88, 2003.84])
data = jqdatahttp.get_ticks('399998.XSHE', count=5,
end_dt='2021-07-07 10:23:00')
assert allclose(data.iloc[0, 1:4], [1617.3189, 1639.7735, 1615.5138])
data = jqdatahttp.get_ticks('000001.XSHE', start_dt='2023-12-11 15:00:00',
end_dt='2023-12-12 09:30:00', skip=True)
print(data)
data["time"] = data.time.astype(str)
assert '2023-12-11 15:00:00' <= data['time'].iloc[0] < '2023-12-11 16:00:00'
assert '2023-12-12 09:00:00' < data['time'].iloc[-1] <= '2023-12-12 09:30:00'
data2 = jqdatahttp.get_ticks('000001.XSHE', start_dt='2023-12-11 15:00:00',
end_dt='2023-12-12 09:30:00', skip=False)
print(data2)
data2["time"] = data2.time.astype(str)
assert set(data['time']) < set(data2['time'])
def test_convert_security():
security_info1 = jqdatahttp.get_security_info('000001.XSHE')
security_info2 = jqdatahttp.get_security_info('000018.XSHE')
data = jqdatahttp.get_extras(
'is_st',
[security_info1, security_info2],
start_date='2013-12-01',
end_date='2013-12-03'
)
print(data)
data2 = jqdatahttp.get_industry(security_info2)
print(data2)
assert len(data), len(data2)
def test_get_bars():
data = jqdatahttp.get_bars('MA2105.XZCE', end_dt='2021-03-24',
count=10, unit='1d')
dbar_fields = [
'date', 'open', 'close', 'high', 'low', 'volume', 'money', 'paused',
'high_limit', 'low_limit', 'open_interest', 'avg', 'pre_close',
]
data = data.reindex(columns=dbar_fields)
print(data)
print(data.iloc[0, 1:])
assert allclose(data.iloc[0, 1:], [
2486.0, 2460.0, 2491.0, 2420.0, 1295422.0, 31763747440.0, 0, 2663.0,
2361.0, 855268.0, 2451.7385, 2512.0
])
mbar_fields = [
'date', 'open', 'close', 'high', 'low', 'volume', 'money',
'open_interest'
]
data = jqdatahttp.get_bars('MA2105.XZCE', end_dt='2021-03-24',
count=20, unit='1m')
data = data.reindex(columns=mbar_fields)
print(data)
assert allclose(data.iloc[-2, 1:], [
2352.0, 2351.0, 2353.0, 2351.0, 2604.0, 61272120.0, 691364.0
])
data = jqdatahttp.get_bars('MA2105.XZCE', end_dt='2021-03-24',
count=30, unit='1M')
data = data.reindex(columns=mbar_fields[:-1])
print(data)
assert allclose(data.iloc[-1, 1:], [
2466.0, 2356.0, 2682.0, 2288.0, 24901720.0, 617942268640.0
])
securities = ["ZN2112P24400.XSGE", "10003205.XSHG"]
data = jqdatahttp.get_bars(securities, unit='1d',
end_dt="2021-09-10 10:18:00", count=1, df=False)
print(data)
assert set(securities) == set(data)
def test_get_bars_period():
data = jqdatahttp.get_bars_period(
'SN2109.XSGE', '2021-07-06', '2021-07-06 15:30', unit='1m'
)
print(data)
data = data.drop(columns='date')
assert not (data < 0).any().any()
def test_get_fq_factor():
params = dict(
security='000001.XSHE', start_date='2023-06-10', end_date='2023-06-15'
)
data = jqdatahttp.get_fq_factor(**params)
print(data)
params['fq'] = "pre"
data = jqdatahttp.get_fq_factor(**params)
print(data)
def test_get_current_tick():
data = jqdatahttp.get_current_tick("600519.XSHG")
print(data)
if jqdatahttp.is_trading_day(datetime.date.today()):
assert len(data)
def test_get_current_ticks():
data = jqdatahttp.get_current_ticks(["600519.XSHG", "000002.XSHE"])
assert len(data)
def test_get_last_price():
data = jqdatahttp.get_last_price(['000001.XSHE', '600000.XSHG'])
print(data)
assert sum(data.values())
def test_get_factor_values():
data = jqdatahttp.get_factor_values(
'000001.XSHE,600519.XSHG',
'net_profit_ratio,cfo_to_ev,size,EMA5,EMAC10',
'2021-02-01',
'2021-03-03'
)
print(data)
df = data["net_profit_ratio"]
assert df.iloc[0, 0] > 0
def test_get_extras():
data = jqdatahttp.get_extras(
'acc_net_value', ['510300.XSHG', '510050.XSHG'],
start_date='2015-12-01', end_date='2015-12-03'
)
print(data)
assert sum(data['510300.XSHG']) > 3
data = jqdatahttp.get_extras(
'is_st', ['000001.XSHE', '000018.XSHE'],
start_date='2013-12-01', end_date='2013-12-03'
)
print(data)
assert not any(data['000001.XSHE']) and all(data['000018.XSHE'])
data = jqdatahttp.get_extras(
'acc_net_value', ['510300.XSHG', '510050.XSHG'],
start_date='2015-12-01', end_date='2015-12-03', df=False
)
print(data)
assert isinstance(data, dict) and sum(data['510050.XSHG']) > 9
def test_get_extras2():
code = '000403.XSHE'
df = jqdatahttp.get_extras(
'is_st', code,
end_date='2018-11-23', count=5
)
assert df[code].tolist() == [True, True, True, False, False]
def test_get_fundamentals():
data = jqdatahttp.get_fundamentals(
code='000651.XSHE', date='2019q1', table='income', count=100
)
print(data)
def test_get_billboard_list():
data = jqdatahttp.get_billboard_list(
stock_list='000009.XSHE', end_date="2021-06-10", count=1
)
print(data)
assert len(data) > 1
def test_get_index_stocks():
data = jqdatahttp.get_index_stocks('000300.XSHG')
print(data)
assert len(data)
# 测试在成分股切换时逻辑是否正常
stocks = jqdatahttp.get_index_stocks("000300.XSHG", date="2011-01-04")
stocks2 = jqdatahttp.get_index_stocks("000300.XSHG", date="2011-01-05")
assert len(stocks) == len(stocks2)
def test_get_industry_stocks():
data = jqdatahttp.get_industry_stocks('I64')
print(data)
assert len(data)
def test_get_industries():
data = jqdatahttp.get_industries('zjw')
print(data)
assert len(data) > 0
data2 = jqdatahttp.get_industries('zjw', date="2021-06-10")
assert len(data) >= len(data2)
def test_get_concept_stocks():
print(jqdatahttp.get_concept_stocks('SC0001'))
data = jqdatahttp.get_concept_stocks('SC0084', date='2019-04-16')
print(data)
assert len(data) > 5
def test_get_concepts():
data = jqdatahttp.get_concepts()
print(data)
assert len(data)
def test_get_money_flow():
data = jqdatahttp.get_money_flow('000001.XSHE', '2016-02-01', '2016-03-01')
print(data)
assert len(data) > 10
data = jqdatahttp.get_money_flow(
['000001.XSHE', '600000.XSHG'], '2010-01-01', '2010-01-30',
["date", "sec_code", "change_pct", "net_amount_main", "net_pct_l", "net_amount_m"]
)
print(data)
assert "net_pct_m" not in data.columns
def test_get_mtss():
data = jqdatahttp.get_mtss('000001.XSHE', '2016-01-01', '2016-04-01')
print(data)
assert len(data) > 0
data = jqdatahttp.get_mtss(
['000001.XSHE', '600000.XSHG'], '2016-01-01', '2016-04-01',
fields="sec_sell_value"
)
print(data)
assert "date" not in data.columns
def test_get_margincash_marginsec_stocks():
assert len(jqdatahttp.get_margincash_stocks()) > 0
assert len(jqdatahttp.get_marginsec_stocks()) > 0
def test_get_future_contracts():
data = sorted(jqdatahttp.get_future_contracts('IF', date="2021-06-10"))
print(data)
assert data == ['IF2106.CCFX', 'IF2107.CCFX', 'IF2109.CCFX', 'IF2112.CCFX']
def test_get_dominant_future():
assert jqdatahttp.get_dominant_future('IF', date="2021-06-10") == 'IF2106.CCFX'
def test_get_index_weights():
data = jqdatahttp.get_index_weights("000001.XSHG", date="2018-05-09")
print(data)
assert allclose(
data.loc[
['600000.XSHG', '600128.XSHG', '600933.XSHG', '603888.XSHG'],
'weight'
],
[1.074, 0.007, 0.035, 0.035]
)
def test_get_industry():
data = jqdatahttp.get_industry(['000001.XSHE', '000002.XSHE'])
print(data)
assert isinstance(data, dict)
def test_get_fund_info():
data = jqdatahttp.get_fund_info('519223.OF', date='2018-12-01')
print(data)
assert isinstance(data, dict)
def test_get_call_auction():
start_date = '2022-01-10'
end_date = '2022-01-12'
get_call_auction = functools.partial(
jqdatahttp.get_call_auction,
start_date=start_date,
end_date=end_date,
fields=['code', 'time', 'current', 'volume', 'money']
)
data = get_call_auction("000001.XSHE")
print(data)
assert len(data) > 1
assert "a1_v" not in data.columns
securities = jqdatahttp.get_all_securities("stock", start_date)
securities = securities.index.tolist()
data = get_call_auction(securities[:18])
assert len(set(data.code)) == 18
data = get_call_auction(securities[:118])
assert len(set(data.code)) == 118
data = get_call_auction(securities[:234])
print(data)
assert len(data) > 500
def test_get_pause_stocks():
data = jqdatahttp.get_pause_stocks(date='2024-09-09')
print(data)
assert len(data) == 15
assert "000413.XSHE" in data
assert "300746.XSHE" in data
assert "688115.XSHG" in data
data = jqdatahttp.get_pause_stocks(date=datetime.date.today())
print(data)
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