def test_fetch_historical_prices_by_epic_and_date_range(self, ig_service: IGService):
response = ig_service.fetch_historical_prices_by_epic_and_date_range(
"CS.D.EURUSD.MINI.IP", "D", "2020-09-01 00:00:00", "2020-09-04 23:59:59"
)
assert isinstance(response["allowance"], dict)
assert isinstance(response["prices"], pd.DataFrame)
assert len(response["prices"]) == 4
def test_historical_prices_by_epic_and_date_range_happy(self):
# fetch_historical_prices_by_epic_and_date_range, daily resolution
with open('tests/data/historic_prices_v1.json', 'r') as file:
response_body = json.loads(file.read())
responses.add(
responses.GET,
'https://demo-api.ig.com/gateway/deal/prices/MT.D.GC.Month2.IP/DAY',
match_querystring=False,
headers={'CST': 'abc123', 'X-SECURITY-TOKEN': 'xyz987'},
json=response_body,
status=200)
ig_service = IGService('username', 'password', 'api_key', 'DEMO')
ig_service.crud_session.HEADERS["LOGGED_IN"] = {}
result = ig_service.fetch_historical_prices_by_epic_and_date_range(
epic='MT.D.GC.Month2.IP',
resolution='D',
start_date='2020:09:01-00:00:00',
end_date='2020:09:04-23:59:59')
prices = result['prices']
assert isinstance(result, dict)
assert isinstance(prices, pd.DataFrame)
# assert DataFrame shape
assert prices.shape[0] == 4
assert prices.shape[1] == 13
# assert time series rows are 1 day apart
prices['tvalue'] = prices.index
prices['delta'] = (prices['tvalue'] - prices['tvalue'].shift())
assert any(prices["delta"].dropna() == datetime.timedelta(days=1))
def test_historical_prices_by_epic_and_date_range_bad_date_order(self):
# fetch_historical_prices_by_epic_and_date_range - bad date order
responses.add(
responses.GET,
'https://demo-api.ig.com/gateway/deal/prices/MT.D.XX.Month1.IP/DAY',
headers={'CST': 'abc123', 'X-SECURITY-TOKEN': 'xyz987'},
json={"errorCode": "error.invalid.daterange"},
status=400)
with pytest.raises(Exception):
ig_service = IGService('username', 'password', 'api_key', 'DEMO')
ig_service.crud_session.HEADERS["LOGGED_IN"] = {}
result = ig_service.fetch_historical_prices_by_epic_and_date_range(
epic='MT.D.GC.Month2.IP',
resolution='D',
start_date='2020:09:04-23:59:59',
end_date='2020:09:01-00:00:00')
assert result['errorCode'] == 'error.invalid.daterange'
def test_historical_prices_by_epic_and_date_range_bad_date_format(self):
# fetch_historical_prices_by_epic_and_date_range - bad date format
responses.add(
responses.GET,
'https://demo-api.ig.com/gateway/deal/prices/MT.D.XX.Month1.IP/DAY',
headers={'CST': 'abc123', 'X-SECURITY-TOKEN': 'xyz987'},
json={'errorCode': 'Unable to parse datetime=2020/09/01T00:00:00'},
status=400)
with pytest.raises(Exception):
ig_service = IGService('username', 'password', 'api_key', 'DEMO')
ig_service.crud_session.HEADERS["LOGGED_IN"] = {}
result = ig_service.fetch_historical_prices_by_epic_and_date_range(
epic='MT.D.GC.Month2.IP',
resolution='D',
start_date='2020/09/01T00:00:00',
end_date='2020-09-04T23:59:59')
assert result['errorCode'].startswith('Unable to parse datetime')
def test_historical_prices_by_epic_and_date_range_bad_epic(self):
# fetch_historical_prices_by_epic_and_date_range - bad epic
responses.add(
responses.GET,
'https://demo-api.ig.com/gateway/deal/prices/MT.D.X.Month1.IP/DAY',
headers={
'CST': 'abc123',
'X-SECURITY-TOKEN': 'xyz987'
},
json={'errorCode': 'error.error.price-history.io-error'},
status=404)
with pytest.raises(Exception):
ig_service = IGService('username', 'password', 'api_key', 'DEMO')
result = ig_service.fetch_historical_prices_by_epic_and_date_range(
epic='MT.D.X.Month1.IP',
resolution='D',
start_date='2020-09-01T00:00:00',
end_date='2020-09-04T23:59:59')
assert result['errorCode'] == 'error.error.price-history.io-error'
