Little fixes for tests & proxy msg
This commit is contained in:
ValueRaider
+10
-7
@@ -5,8 +5,8 @@ import datetime as _dt
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import sys
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import os
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import yfinance
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from requests_ratelimiter import LimiterSession
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from pyrate_limiter import Duration, RequestRate, Limiter
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# from requests_ratelimiter import LimiterSession
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# from pyrate_limiter import Duration, RequestRate, Limiter
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_parent_dp = os.path.abspath(os.path.join(os.path.dirname(__file__), '..'))
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_src_dp = _parent_dp
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@@ -25,12 +25,15 @@ if os.path.isdir(testing_cache_dirpath):
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import shutil
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shutil.rmtree(testing_cache_dirpath)
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# Setup a session to only rate-limit
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history_rate = RequestRate(1, Duration.SECOND)
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limiter = Limiter(history_rate)
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session_gbl = LimiterSession(limiter=limiter)
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# Since switching to curl_cffi, the requests_ratelimiter|cache won't work.
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session_gbl = None
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# Use this instead if you also want caching:
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# # Setup a session to only rate-limit
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# history_rate = RequestRate(1, Duration.SECOND)
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# limiter = Limiter(history_rate)
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# session_gbl = LimiterSession(limiter=limiter)
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# # Use this instead if you also want caching:
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# from requests_cache import CacheMixin, SQLiteCache
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# from requests_ratelimiter import LimiterMixin
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# from requests import Session
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+29
-31
@@ -284,36 +284,37 @@ class TestTickerHistory(unittest.TestCase):
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else:
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self.assertIsInstance(data.columns, pd.MultiIndex)
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def test_no_expensive_calls_introduced(self):
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"""
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Make sure calling history to get price data has not introduced more calls to yahoo than absolutely necessary.
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As doing other type of scraping calls than "query2.finance.yahoo.com/v8/finance/chart" to yahoo website
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will quickly trigger spam-block when doing bulk download of history data.
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"""
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symbol = "GOOGL"
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period = "1y"
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with requests_cache.CachedSession(backend="memory") as session:
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ticker = yf.Ticker(symbol, session=session)
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ticker.history(period=period)
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actual_urls_called = [r.url for r in session.cache.filter()]
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# Hopefully one day we find an equivalent "requests_cache" that works with "curl_cffi"
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# def test_no_expensive_calls_introduced(self):
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# """
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# Make sure calling history to get price data has not introduced more calls to yahoo than absolutely necessary.
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# As doing other type of scraping calls than "query2.finance.yahoo.com/v8/finance/chart" to yahoo website
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# will quickly trigger spam-block when doing bulk download of history data.
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# """
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# symbol = "GOOGL"
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# period = "1y"
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# with requests_cache.CachedSession(backend="memory") as session:
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# ticker = yf.Ticker(symbol, session=session)
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# ticker.history(period=period)
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# actual_urls_called = [r.url for r in session.cache.filter()]
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# Remove 'crumb' argument
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for i in range(len(actual_urls_called)):
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u = actual_urls_called[i]
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parsed_url = urlparse(u)
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query_params = parse_qs(parsed_url.query)
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query_params.pop('crumb', None)
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query_params.pop('cookie', None)
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u = urlunparse(parsed_url._replace(query=urlencode(query_params, doseq=True)))
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actual_urls_called[i] = u
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actual_urls_called = tuple(actual_urls_called)
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# # Remove 'crumb' argument
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# for i in range(len(actual_urls_called)):
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# u = actual_urls_called[i]
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# parsed_url = urlparse(u)
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# query_params = parse_qs(parsed_url.query)
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# query_params.pop('crumb', None)
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# query_params.pop('cookie', None)
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# u = urlunparse(parsed_url._replace(query=urlencode(query_params, doseq=True)))
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# actual_urls_called[i] = u
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# actual_urls_called = tuple(actual_urls_called)
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expected_urls = [
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f"https://query2.finance.yahoo.com/v8/finance/chart/{symbol}?interval=1d&range=1d", # ticker's tz
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f"https://query2.finance.yahoo.com/v8/finance/chart/{symbol}?events=div%2Csplits%2CcapitalGains&includePrePost=False&interval=1d&range={period}"
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]
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for url in actual_urls_called:
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self.assertTrue(url in expected_urls, f"Unexpected URL called: {url}")
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# expected_urls = [
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# f"https://query2.finance.yahoo.com/v8/finance/chart/{symbol}?interval=1d&range=1d", # ticker's tz
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# f"https://query2.finance.yahoo.com/v8/finance/chart/{symbol}?events=div%2Csplits%2CcapitalGains&includePrePost=False&interval=1d&range={period}"
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# ]
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# for url in actual_urls_called:
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# self.assertTrue(url in expected_urls, f"Unexpected URL called: {url}")
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def test_dividends(self):
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data = self.ticker.dividends
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@@ -889,8 +890,6 @@ class TestTickerAnalysts(unittest.TestCase):
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data = self.ticker.upgrades_downgrades
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self.assertIsInstance(data, pd.DataFrame, "data has wrong type")
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self.assertFalse(data.empty, "data is empty")
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self.assertTrue(len(data.columns) == 4, "data has wrong number of columns")
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self.assertCountEqual(data.columns.values.tolist(), ['Firm', 'ToGrade', 'FromGrade', 'Action'], "data has wrong column names")
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self.assertIsInstance(data.index, pd.DatetimeIndex, "data has wrong index type")
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data_cached = self.ticker.upgrades_downgrades
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@@ -1000,7 +999,6 @@ class TestTickerInfo(unittest.TestCase):
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self.assertIsInstance(data, dict, "data has wrong type")
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expected_keys = ['industry', 'currentPrice', 'exchange', 'floatShares', 'companyOfficers', 'bid']
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for k in expected_keys:
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print(k)
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self.assertIn("symbol", data.keys(), f"Did not find expected key '{k}' in info dict")
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self.assertEqual(self.symbols[0], data["symbol"], "Wrong symbol value in info dict")
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+1
-1
@@ -69,7 +69,7 @@ class TickerBase:
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# accept isin as ticker
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if utils.is_isin(self.ticker):
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isin = self.ticker
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self.ticker = utils.get_ticker_by_isin(self.ticker, None, session)
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self.ticker = utils.get_ticker_by_isin(self.ticker, _SENTINEL_, session)
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if self.ticker == "":
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raise ValueError(f"Invalid ISIN number: {isin}")
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+1
-1
@@ -43,7 +43,7 @@ class Lookup:
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:param raise_errors: Raise exceptions on error (default True).
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"""
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def __init__(self, query: str, session=None, proxy=None, timeout=30, raise_errors=True):
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def __init__(self, query: str, session=None, proxy=_SENTINEL_, timeout=30, raise_errors=True):
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self.session = session
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self._data = YfData(session=self.session)
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