Bump version to 0.1.96

Another info[] fix for #1256

.github/ISSUE_TEMPLATE/bug_report.md

@@ -14,4 +14,7 @@ Before posting an issue - please upgrade to the latest version and confirm the i
 Upgrade using:
 `$ pip install yfinance --upgrade --no-cache-dir`
 
-Bug still there? Delete this content and submit your bug report here...
+Bug still there? Delete this content and submit your bug report here and provide the following, as best you can:
+
+- Simple code that reproduces your problem
+- The error message

CHANGELOG.rst

@@ -1,6 +1,60 @@
 Change Log
 ===========
 
+0.1.96
+------
+- Fix info[] not caching #1258
+
+0.1.95
+------
+- Fix info[] bug #1257
+
+0.1.94
+------
+- Fix delisted ticker info[]
+
+0.1.93
+------
+- Fix Ticker.shares
+
+0.1.92
+------
+- Decrypt new Yahoo encryption #1255
+
+0.1.90
+------
+- Restore lxml req, increase min ver #1237
+
+0.1.89
+------
+- Remove unused incompatible dependency #1222
+- Fix minimum Pandas version #1230
+
+0.1.87
+------
+- Fix localizing midnight when non-existent (DST) #1176
+- Fix thread deadlock in bpython #1163
+
+0.1.86
+------
+- Fix 'trailingPegRatio' #1141
+- Improve handling delisted tickers #1142
+- Fix corrupt tkr-tz-csv halting code #1162
+- Change default start to 1900-01-01 #1170
+
+0.1.85
+------
+- Fix info['log_url'] #1062
+- Fix handling delisted ticker #1137
+
+0.1.84
+------
+- Make tz-cache thread-safe
+
+0.1.83
+------
+- Reduce spam-effect of tz-fetch
+
 0.1.81
 ------
 - Fix unhandled tz-cache exception #1107

README.md

@@ -274,12 +274,12 @@ To install `yfinance` using `conda`, see
 ### Requirements
 
 -   [Python](https://www.python.org) \>= 2.7, 3.4+
--   [Pandas](https://github.com/pydata/pandas) (tested to work with
-    \>=0.23.1)
--   [Numpy](http://www.numpy.org) \>= 1.11.1
--   [requests](http://docs.python-requests.org/en/master/) \>= 2.14.2
--   [lxml](https://pypi.org/project/lxml/) \>= 4.5.1
--   [appdirs](https://pypi.org/project/appdirs) \>=1.4.4
+-   [Pandas](https://github.com/pydata/pandas) \>= 1.3.0
+-   [Numpy](http://www.numpy.org) \>= 1.16.5
+-   [requests](http://docs.python-requests.org/en/master/) \>= 2.26
+-   [lxml](https://pypi.org/project/lxml/) \>= 4.9.1
+-   [appdirs](https://pypi.org/project/appdirs) \>= 1.4.4
+-   [cryptography](https://pypi.org/project/cryptography) \>=3.3.2
 
 ### Optional (if you want to use `pandas_datareader`)
 

meta.yaml

@@ -1,5 +1,5 @@
 {% set name = "yfinance" %}
-{% set version = "0.1.58" %}
+{% set version = "0.1.96" %}
 
 package:
   name: "{{ name|lower }}"
@@ -16,22 +16,24 @@ build:
 
 requirements:
   host:
-    - pandas >=0.24.0
+    - pandas >=1.3.0
     - numpy >=1.16.5
-    - requests >=2.21
+    - requests >=2.26
     - multitasking >=0.0.7
-    - lxml >=4.5.1
+    - lxml >=4.9.1
     - appdirs >= 1.4.4
+    - cryptography >= 3.3.2
     - pip
     - python
 
   run:
-    - pandas >=0.24.0
+    - pandas >=1.3.0
     - numpy >=1.16.5
-    - requests >=2.21
+    - requests >=2.26
     - multitasking >=0.0.7
-    - lxml >=4.5.1
+    - lxml >=4.9.1
     - appdirs >= 1.4.4
+    - cryptography >= 3.3.2
     - python
 
 test:

requirements.txt

@@ -1,6 +1,7 @@
-pandas>=0.24.0
+pandas>=1.3.0
 numpy>=1.16.5
 requests>=2.26
 multitasking>=0.0.7
-lxml>=4.5.1
+lxml>=4.9.1
 appdirs>=1.4.4
+cryptography>=3.3.2

setup.py

@@ -61,9 +61,10 @@ setup(
     platforms=['any'],
     keywords='pandas, yahoo finance, pandas datareader',
     packages=find_packages(exclude=['contrib', 'docs', 'tests', 'examples']),
-    install_requires=['pandas>=0.24.0', 'numpy>=1.15',
+    install_requires=['pandas>=1.3.0', 'numpy>=1.16.5',
                       'requests>=2.26', 'multitasking>=0.0.7',
-                      'lxml>=4.5.1', 'appdirs>=1.4.4'],
+                      'lxml>=4.9.1', 'appdirs>=1.4.4',
+                      'cryptography>=3.3.2'],
     entry_points={
         'console_scripts': [
             'sample=sample:main',

test_yfinance.py

@@ -15,21 +15,90 @@ Sanity check for most common library uses all working
 
 import yfinance as yf
 import unittest
+import datetime
 
-symbols = ['MSFT', 'IWO', 'VFINX', '^GSPC', 'BTC-USD']
-tickers = [yf.Ticker(symbol) for symbol in symbols]
+session = None
+import requests_cache ; session = requests_cache.CachedSession("yfinance.cache", expire_after=24*60*60)
+
+# Good symbols = all attributes should work
+good_symbols = ['MSFT', 'IWO', 'VFINX', '^GSPC', 'BTC-USD']
+good_tickers = [yf.Ticker(symbol, session=session) for symbol in good_symbols]
+# Dodgy symbols = Yahoo data incomplete, so exclude from some tests
+dodgy_symbols = ["G7W.DU"]
+dodgy_tickers = [yf.Ticker(symbol, session=session) for symbol in dodgy_symbols]
+symbols = good_symbols + dodgy_symbols
+tickers = good_tickers + dodgy_tickers
+# Delisted = no data expected but yfinance shouldn't raise exception
+delisted_symbols = ["BRK.B", "SDLP"]
+delisted_tickers = [yf.Ticker(symbol, session=session) for symbol in delisted_symbols]
 
 
 class TestTicker(unittest.TestCase):
+    def setUp(self):
+        d_today = datetime.date.today()
+        d_today -= datetime.timedelta(days=30)
+        self.start_d = datetime.date(d_today.year, d_today.month, 1)
+
     def test_info_history(self):
+        # always should have info and history for valid symbols
         for ticker in tickers:
-            # always should have info and history for valid symbols
             assert(ticker.info is not None and ticker.info != {})
-            history = ticker.history(period="max")
+            history = ticker.history(period="1mo")
             assert(history.empty is False and history is not None)
+        histories = yf.download(symbols, period="1mo", session=session)
+        assert(histories.empty is False and histories is not None)
+
+        for ticker in tickers:
+            assert(ticker.info is not None and ticker.info != {})
+            history = ticker.history(start=self.start_d)
+            assert(history.empty is False and history is not None)
+        histories = yf.download(symbols, start=self.start_d, session=session)
+        assert(histories.empty is False and histories is not None)
+
+    def test_info_history_nofail(self):
+        # should not throw Exception for delisted tickers, just print a message
+        for ticker in delisted_tickers:
+            history = ticker.history(period="1mo")
+        histories = yf.download(delisted_symbols, period="1mo", session=session)
+        histories = yf.download(delisted_symbols[0], period="1mo", session=session)
+        histories = yf.download(delisted_symbols[1], period="1mo")#, session=session)
+        for ticker in delisted_tickers:
+            history = ticker.history(start=self.start_d)
+        histories = yf.download(delisted_symbols, start=self.start_d, session=session)
+        histories = yf.download(delisted_symbols[0], start=self.start_d, session=session)
+        histories = yf.download(delisted_symbols[1], start=self.start_d, session=session)
 
     def test_attributes(self):
         for ticker in tickers:
+            ticker.isin
+            ticker.major_holders
+            ticker.institutional_holders
+            ticker.mutualfund_holders
+            ticker.dividends
+            ticker.splits
+            ticker.actions
+            ticker.info
+            ticker.info["trailingPegRatio"]
+            ticker.calendar
+            ticker.recommendations
+            ticker.earnings
+            ticker.quarterly_earnings
+            ticker.financials
+            ticker.quarterly_financials
+            ticker.balance_sheet
+            ticker.quarterly_balance_sheet
+            ticker.cashflow
+            ticker.quarterly_cashflow
+            ticker.sustainability
+            ticker.options
+            ticker.news
+            ticker.shares
+            ticker.earnings_history
+            ticker.earnings_dates
+
+    def test_attributes_nofail(self):
+        # should not throw Exception for delisted tickers, just print a message
+        for ticker in delisted_tickers:
             ticker.isin
             ticker.major_holders
             ticker.institutional_holders
@@ -56,8 +125,7 @@ class TestTicker(unittest.TestCase):
             ticker.earnings_dates
 
     def test_holders(self):
-        for ticker in tickers:
-            assert(ticker.info is not None and ticker.info != {})
+        for ticker in good_tickers:
             assert(ticker.major_holders is not None)
             assert(ticker.institutional_holders is not None)
 

yfinance/base.py

@@ -145,22 +145,22 @@ class TickerBase():
         debug_mode = True
         if "debug" in kwargs and isinstance(kwargs["debug"], bool):
             debug_mode = kwargs["debug"]
+        if "many" in kwargs and kwargs["many"]:
+            # Disable prints with threads, it deadlocks/throws
+            debug_mode = False
 
         err_msg = "No data found for this date range, symbol may be delisted"
 
         if start or period is None or period.lower() == "max":
             # Check can get TZ. Fail => probably delisted
-            try:
-                tz = self._get_ticker_tz()
-            except KeyError as e:
-                if "exchangeTimezoneName" in str(e):
-                    shared._DFS[self.ticker] = utils.empty_df()
-                    shared._ERRORS[self.ticker] = err_msg
-                    if "many" not in kwargs and debug_mode:
-                        print('- %s: %s' % (self.ticker, err_msg))
-                    return utils.empty_df()
-                else:
-                    raise
+            tz = self._get_ticker_tz(debug_mode, proxy, timeout)
+            if tz is None:
+                # Every valid ticker has a timezone. Missing = problem
+                shared._DFS[self.ticker] = utils.empty_df()
+                shared._ERRORS[self.ticker] = err_msg
+                if debug_mode:
+                    print('- %s: %s' % (self.ticker, err_msg))
+                return utils.empty_df()
 
             if end is None:
                 end = int(_time.time())
@@ -170,7 +170,8 @@ class TickerBase():
                 if interval == "1m":
                     start = end - 604800  # Subtract 7 days
                 else:
-                    start = -631159200
+                    #time stamp of 01/01/1900
+                    start = -2208994789
             else:
                 start = utils._parse_user_dt(start, tz)
             params = {"period1": start, "period2": end}
@@ -218,7 +219,7 @@ class TickerBase():
         if data is None or not type(data) is dict or 'status_code' in data.keys():
             shared._DFS[self.ticker] = utils.empty_df()
             shared._ERRORS[self.ticker] = err_msg
-            if "many" not in kwargs and debug_mode:
+            if debug_mode:
                 print('- %s: %s' % (self.ticker, err_msg))
             return utils.empty_df()
 
@@ -226,7 +227,7 @@ class TickerBase():
             err_msg = data["chart"]["error"]["description"]
             shared._DFS[self.ticker] = utils.empty_df()
             shared._ERRORS[self.ticker] = err_msg
-            if "many" not in kwargs and debug_mode:
+            if debug_mode:
                 print('- %s: %s' % (self.ticker, err_msg))
             return shared._DFS[self.ticker]
 
@@ -234,7 +235,7 @@ class TickerBase():
                 not data["chart"]["result"]:
             shared._DFS[self.ticker] = utils.empty_df()
             shared._ERRORS[self.ticker] = err_msg
-            if "many" not in kwargs and debug_mode:
+            if debug_mode:
                 print('- %s: %s' % (self.ticker, err_msg))
             return shared._DFS[self.ticker]
 
@@ -249,7 +250,7 @@ class TickerBase():
         except Exception:
             shared._DFS[self.ticker] = utils.empty_df()
             shared._ERRORS[self.ticker] = err_msg
-            if "many" not in kwargs and debug_mode:
+            if debug_mode:
                 print('- %s: %s' % (self.ticker, err_msg))
             return shared._DFS[self.ticker]
 
@@ -285,7 +286,7 @@ class TickerBase():
                 err_msg = "back_adjust failed with %s" % e
             shared._DFS[self.ticker] = utils.empty_df()
             shared._ERRORS[self.ticker] = err_msg
-            if "many" not in kwargs and debug_mode:
+            if debug_mode:
                 print('- %s: %s' % (self.ticker, err_msg))
 
         if rounding:
@@ -315,7 +316,7 @@ class TickerBase():
         else:
             # If a midnight is during DST transition hour when clocks roll back, 
             # meaning clock hits midnight twice, then use the 2nd (ambiguous=True)
-            df.index = _pd.to_datetime(df.index.date).tz_localize(tz_exchange, ambiguous=True)
+            df.index = _pd.to_datetime(df.index.date).tz_localize(tz_exchange, ambiguous=True, nonexistent='shift_forward')
             df.index.name = "Date"
 
         # duplicates and missing rows cleanup
@@ -331,23 +332,79 @@ class TickerBase():
 
     # ------------------------
 
-    def _get_ticker_tz(self):
+    def _get_ticker_tz(self, debug_mode, proxy, timeout):
         if not self._tz is None:
             return self._tz
 
         tkr_tz = utils.cache_lookup_tkr_tz(self.ticker)
+
+        if tkr_tz is not None:
+            invalid_value = isinstance(tkr_tz, str)
+            if not invalid_value:
+                try:
+                    _tz.timezone(tz)
+                except:
+                    invalid_value = True
+            if invalid_value:
+                # Clear from cache and force re-fetch
+                utils.cache_store_tkr_tz(self.ticker, None)
+                tkr_tz = None
+
         if tkr_tz is None:
-            tkr_tz = self.info["exchangeTimezoneName"]
-            # info fetch is relatively slow so cache timezone
-            try:
-                utils.cache_store_tkr_tz(self.ticker, tkr_tz)
-            except PermissionError:
-                # System probably read-only, so cannot cache
-                pass
+            tkr_tz = self._fetch_ticker_tz(debug_mode, proxy, timeout)
+
+            if tkr_tz is not None:
+                try:
+                    utils.cache_store_tkr_tz(self.ticker, tkr_tz)
+                except PermissionError:
+                    # System probably read-only, so cannot cache
+                    pass
 
         self._tz = tkr_tz
         return tkr_tz
 
+
+    def _fetch_ticker_tz(self, debug_mode, proxy, timeout):
+        # Query Yahoo for basic price data just to get returned timezone
+
+        params = {"range":"1d", "interval":"1d"}
+
+        # setup proxy in requests format
+        if proxy is not None:
+            if isinstance(proxy, dict) and "https" in proxy:
+                proxy = proxy["https"]
+            proxy = {"https": proxy}
+
+        # Getting data from json
+        url = "{}/v8/finance/chart/{}".format(self._base_url, self.ticker)
+
+        session = self.session or _requests
+        try:
+            data = session.get(url=url, params=params, proxies=proxy, headers=utils.user_agent_headers, timeout=timeout)
+            data = data.json()
+        except Exception as e:
+            if debug_mode:
+                print("Failed to get ticker '{}' reason: {}".format(self.ticker, e))
+            return None
+        else:
+            error = data.get('chart', {}).get('error', None)
+            if error:
+                # explicit error from yahoo API
+                if debug_mode:
+                    print("Got error from yahoo api for ticker {}, Error: {}".format(self.ticker, error))
+            else:
+                try:
+                    return data["chart"]["result"][0]["meta"]["exchangeTimezoneName"]
+                except Exception as err:
+                    if debug_mode:
+                        print("Could not get exchangeTimezoneName for ticker '{}' reason: {}".format(self.ticker, err))
+                        print("Got response: ")
+                        print("-------------")
+                        print(" {}".format(data))
+                        print("-------------")
+        return None
+
+
     def _get_info(self, proxy=None):
         # setup proxy in requests format
         if proxy is not None:
@@ -382,7 +439,10 @@ class TickerBase():
 
                 self._sustainability = s[~s.index.isin(
                     ['maxAge', 'ratingYear', 'ratingMonth'])]
+            else:
+                self._sustainability = utils.empty_df()
         except Exception:
+            self._sustainability = utils.empty_df()
             pass
 
         # info (be nice to python 2)
@@ -425,9 +485,12 @@ class TickerBase():
 
         self._info['logo_url'] = ""
         try:
-            domain = self._info['website'].split(
-                '://')[1].split('/')[0].replace('www.', '')
-            self._info['logo_url'] = 'https://logo.clearbit.com/%s' % domain
+            if not 'website' in self._info:
+                self._info['logo_url'] = 'https://logo.clearbit.com/%s.com' % self._info['shortName'].split(' ')[0].split(',')[0]
+            else:
+                domain = self._info['website'].split(
+                    '://')[1].split('/')[0].replace('www.', '')
+                self._info['logo_url'] = 'https://logo.clearbit.com/%s' % domain
         except Exception:
             pass
 
@@ -455,8 +518,32 @@ class TickerBase():
             self._recommendations = rec[[
                 'Firm', 'To Grade', 'From Grade', 'Action']].sort_index()
         except Exception:
+            self._recommendations = utils.empty_df()
             pass
 
+        # Complementary key-statistics. For now just want 'trailing PEG ratio'
+        session = self.session or _requests
+        keys = {"trailingPegRatio"}
+        if len(keys)>0:
+            # For just one/few variable is faster to query directly:
+            url = "https://query1.finance.yahoo.com/ws/fundamentals-timeseries/v1/finance/timeseries/{}?symbol={}".format(self.ticker, self.ticker)
+            for k in keys:
+                url += "&type="+k
+            # Request 6 months of data
+            url += "&period1={}".format(int((_datetime.datetime.now()-_datetime.timedelta(days=365//2)).timestamp()))
+            url += "&period2={}".format(int((_datetime.datetime.now()+_datetime.timedelta(days=1)).timestamp()))
+            json_str = session.get(url=url, proxies=proxy, headers=utils.user_agent_headers).text
+            json_data = _json.loads(json_str)
+            key_stats = json_data["timeseries"]["result"][0]
+            if k not in key_stats:
+                # Yahoo website prints N/A, indicates Yahoo lacks necessary data to calculate
+                v = None
+            else:
+                # Select most recent (last) raw value in list:
+                v = key_stats[k][-1]["reportedValue"]["raw"]
+            self._info[k] = v
+
+
     def _get_fundamentals(self, proxy=None):
         def cleanup(data):
             df = _pd.DataFrame(data).drop(columns=['maxAge'])
@@ -616,48 +703,6 @@ class TickerBase():
             except Exception:
                 pass
 
-        # Complementary key-statistics (currently fetching the important trailingPegRatio which is the value shown in the website)
-        res = {}
-        try:
-            my_headers = {'user-agent': 'curl/7.55.1', 'accept': 'application/json', 'content-type': 'application/json',
-                          'referer': 'https://finance.yahoo.com/', 'cache-control': 'no-cache', 'connection': 'close'}
-            p = _re.compile(r'root\.App\.main = (.*);')
-            r = _requests.session().get('https://finance.yahoo.com/quote/{}/key-statistics?p={}'.format(self.ticker,
-                                                                                                        self.ticker), headers=my_headers)
-            q_results = {}
-            my_qs_keys = ['pegRatio']  # QuoteSummaryStore
-            # , 'quarterlyPegRatio']  # QuoteTimeSeriesStore
-            my_ts_keys = ['trailingPegRatio']
-
-            # Complementary key-statistics
-            data = _json.loads(p.findall(r.text)[0])
-            key_stats = data['context']['dispatcher']['stores']['QuoteTimeSeriesStore']
-            q_results.setdefault(self.ticker, [])
-            for i in my_ts_keys:
-                # j=0
-                try:
-                    # res = {i: key_stats['timeSeries'][i][1]['reportedValue']['raw']}
-                    # We need to loop over multiple items, if they exist: 0,1,2,..
-                    zzz = key_stats['timeSeries'][i]
-                    for j in range(len(zzz)):
-                        if key_stats['timeSeries'][i][j]:
-                            res = {i: key_stats['timeSeries']
-                                   [i][j]['reportedValue']['raw']}
-                            q_results[self.ticker].append(res)
-
-                # print(res)
-                # q_results[ticker].append(res)
-                except:
-                    q_results[ticker].append({i: np.nan})
-
-            res = {'Company': ticker}
-            q_results[ticker].append(res)
-        except Exception:
-            pass
-
-        if 'trailingPegRatio' in res:
-            self._info['trailingPegRatio'] = res['trailingPegRatio']
-
         self._fundamentals = True
 
     def get_recommendations(self, proxy=None, as_dict=False, *args, **kwargs):
@@ -803,6 +848,10 @@ class TickerBase():
         self.get_info(proxy=proxy)
         if "shortName" in self._info:
             q = self._info['shortName']
+        if q is None:
+            err_msg = "Cannot map to ISIN code, symbol may be delisted"
+            print('- %s: %s' % (self.ticker, err_msg))
+            return None
 
         url = 'https://markets.businessinsider.com/ajax/' \
               'SearchController_Suggest?max_results=25&query=%s' \
@@ -901,8 +950,10 @@ class TickerBase():
                 dates = _pd.concat([dates, data], axis=0)
             page_offset += page_size
 
-        if dates is None:
-            raise Exception("No data found, symbol may be delisted")
+        if (dates is None) or dates.shape[0]==0:
+            err_msg = "No earnings dates found, symbol may be delisted"
+            print('- %s: %s' % (self.ticker, err_msg))
+            return None
         dates = dates.reset_index(drop=True)
 
         # Drop redundant columns

yfinance/multi.py

@@ -198,7 +198,7 @@ def _download_one_threaded(ticker, start=None, end=None,
 
     data = _download_one(ticker, start, end, auto_adjust, back_adjust,
                          actions, period, interval, prepost, proxy, rounding,
-                         keepna, timeout)
+                         keepna, timeout, many=True)
     shared._DFS[ticker.upper()] = data
     if progress:
         shared._PROGRESS_BAR.animate()
@@ -208,11 +208,11 @@ def _download_one(ticker, start=None, end=None,
                   auto_adjust=False, back_adjust=False,
                   actions=False, period="max", interval="1d",
                   prepost=False, proxy=None, rounding=False,
-                  keepna=False, timeout=None):
+                  keepna=False, timeout=None, many=False):
 
     return Ticker(ticker).history(period=period, interval=interval,
                                   start=start, end=end, prepost=prepost,
                                   actions=actions, auto_adjust=auto_adjust,
                                   back_adjust=back_adjust, proxy=proxy,
-                                  rounding=rounding, keepna=keepna, many=True,
-                                  timeout=timeout)
+                                  rounding=rounding, keepna=keepna, timeout=timeout, 
+                                  many=many)

yfinance/utils.py

@@ -31,6 +31,21 @@ import sys as _sys
 import os as _os
 import appdirs as _ad
 
+from base64 import b64decode
+import hashlib
+usePycryptodome = False  # slightly faster
+# usePycryptodome = True
+if usePycryptodome:
+    # NOTE: if decide to use 'pycryptodome', set min version to 3.6.6
+    from Crypto.Cipher import AES
+    from Crypto.Util.Padding import unpad
+else:
+    from cryptography.hazmat.primitives import padding
+    from cryptography.hazmat.primitives.ciphers import Cipher, algorithms, modes
+
+from threading import Lock
+mutex = Lock()
+
 try:
     import ujson as _json
 except ImportError:
@@ -106,24 +121,112 @@ def get_html(url, proxy=None, session=None):
     return html
 
 
+
+def decrypt_cryptojs_stores(data):
+    """
+    Yahoo has started encrypting data stores, this method decrypts it.
+    :param data: Python dict of the json data
+    :return: The decrypted string data in data['context']['dispatcher']['stores']
+    """
+
+    _cs = data["_cs"]
+    # Assumes _cr has format like: '{"words":[-449732894,601032952,157396918,2056341829],"sigBytes":16}';
+    _cr = _json.loads(data["_cr"])
+    _cr = b"".join(int.to_bytes(i, length=4, byteorder="big", signed=True) for i in _cr["words"])
+
+    password = hashlib.pbkdf2_hmac("sha1", _cs.encode("utf8"), _cr, 1, dklen=32).hex()
+
+    encrypted_stores = data['context']['dispatcher']['stores']
+    encrypted_stores = b64decode(encrypted_stores)
+    assert encrypted_stores[0:8] == b"Salted__"
+    salt = encrypted_stores[8:16]
+    encrypted_stores = encrypted_stores[16:]
+
+    key, iv = _EVPKDF(password, salt, keySize=32, ivSize=16, iterations=1, hashAlgorithm="md5")
+
+    if usePycryptodome:
+        cipher = AES.new(key, AES.MODE_CBC, iv=iv)
+        plaintext = cipher.decrypt(encrypted_stores)
+        plaintext = unpad(plaintext, 16, style="pkcs7")
+    else:
+        cipher = Cipher(algorithms.AES(key), modes.CBC(iv))
+        decryptor = cipher.decryptor()
+        plaintext = decryptor.update(encrypted_stores) + decryptor.finalize()
+        unpadder = padding.PKCS7(128).unpadder()
+        plaintext = unpadder.update(plaintext) + unpadder.finalize()
+        plaintext = plaintext.decode("utf-8")
+
+    return plaintext
+
+def _EVPKDF(password, salt, keySize=32, ivSize=16, iterations=1, hashAlgorithm="md5") -> tuple:
+    """OpenSSL EVP Key Derivation Function
+    Args:
+        password (Union[str, bytes, bytearray]): Password to generate key from.
+        salt (Union[bytes, bytearray]): Salt to use.
+        keySize (int, optional): Output key length in bytes. Defaults to 32.
+        ivSize (int, optional): Output Initialization Vector (IV) length in bytes. Defaults to 16.
+        iterations (int, optional): Number of iterations to perform. Defaults to 1.
+        hashAlgorithm (str, optional): Hash algorithm to use for the KDF. Defaults to 'md5'.
+    Returns:
+        key, iv: Derived key and Initialization Vector (IV) bytes.
+
+    Taken from: https://gist.github.com/rafiibrahim8/0cd0f8c46896cafef6486cb1a50a16d3
+    OpenSSL original code: https://github.com/openssl/openssl/blob/master/crypto/evp/evp_key.c#L78
+    """
+
+    assert iterations > 0, "Iterations can not be less than 1."
+
+    if isinstance(password, str):
+        password = password.encode("utf-8")
+
+    final_length = keySize + ivSize
+    key_iv = b""
+    block = None
+
+    while len(key_iv) < final_length:
+        hasher = hashlib.new(hashAlgorithm)
+        if block:
+            hasher.update(block)
+        hasher.update(password)
+        hasher.update(salt)
+        block = hasher.digest()
+        for _ in range(1, iterations):
+            block = hashlib.new(hashAlgorithm, block).digest()
+        key_iv += block
+
+    key, iv = key_iv[:keySize], key_iv[keySize:final_length]
+    return key, iv
+
+
 def get_json(url, proxy=None, session=None):
     session = session or _requests
     html = session.get(url=url, proxies=proxy, headers=user_agent_headers).text
 
-    if "QuoteSummaryStore" not in html:
-        html = session.get(url=url, proxies=proxy).text
-        if "QuoteSummaryStore" not in html:
-            return {}
+    if not "root.App.main =" in html:
+        return {}
 
     json_str = html.split('root.App.main =')[1].split(
         '(this)')[0].split(';\n}')[0].strip()
-    data = _json.loads(json_str)[
-        'context']['dispatcher']['stores']['QuoteSummaryStore']
+    data = _json.loads(json_str)
+
+    if "_cs" in data and "_cr" in data:
+        data_stores = _json.loads(decrypt_cryptojs_stores(data))
+    else:
+        if "context" in data and "dispatcher" in data["context"]:
+            # Keep old code, just in case
+            data_stores = data['context']['dispatcher']['stores']
+        else:
+            data_stores = data
+
+    if not 'QuoteSummaryStore' in data_stores:
+        # Problem in data. Either delisted, or Yahoo spam triggered
+        return {}
+
+    data = data_stores['QuoteSummaryStore']
     # add data about Shares Outstanding for companies' tickers if they are available
     try:
-        data['annualBasicAverageShares'] = _json.loads(
-            json_str)['context']['dispatcher']['stores'][
-                'QuoteTimeSeriesStore']['timeSeries']['annualBasicAverageShares']
+        data['annualBasicAverageShares'] = \
+            data_stores['QuoteTimeSeriesStore']['timeSeries']['annualBasicAverageShares']
     except Exception:
         pass
 
@@ -332,27 +435,36 @@ def cache_lookup_tkr_tz(tkr):
     if not _os.path.isfile(fp):
         return None
 
-    df = _pd.read_csv(fp)
-    f = df["Ticker"] == tkr
-    if sum(f) == 0:
+    mutex.acquire()
+    df = _pd.read_csv(fp, index_col="Ticker", on_bad_lines="skip")
+    mutex.release()
+    if tkr in df.index:
+        return df.loc[tkr,"Tz"]
+    else:
         return None
-
-    return df["Tz"][f].iloc[0]
 def cache_store_tkr_tz(tkr,tz):
-    df = _pd.DataFrame({"Ticker":[tkr], "Tz":[tz]})
 
     dp = get_cache_dirpath()
+    fp = _os.path.join(dp, "tkr-tz.csv")
+    mutex.acquire()
     if not _os.path.isdir(dp):
         _os.makedirs(dp)
-    fp = _os.path.join(dp, "tkr-tz.csv")
-    if not _os.path.isfile(fp):
-        df.to_csv(fp, index=False)
-        return
+    if (not _os.path.isfile(fp)) and (tz is not None):
+        df = _pd.DataFrame({"Tz":[tz]}, index=[tkr])
+        df.index.name = "Ticker"
+        df.to_csv(fp)
 
-    df_all = _pd.read_csv(fp)
-    f = df_all["Ticker"]==tkr
-    if sum(f) > 0:
-        raise Exception("Tkr {} tz already in cache".format(tkr))
-
-    _pd.concat([df_all,df]).to_csv(fp, index=False)
+    else:
+        df = _pd.read_csv(fp, index_col="Ticker", on_bad_lines="skip")
+        if tz is None:
+            # Delete if in cache:
+            if tkr in df.index:
+                df.drop(tkr).to_csv(fp)
+        else:
+            if tkr in df.index:
+                raise Exception("Tkr {} tz already in cache".format(tkr))
+            df.loc[tkr,"Tz"] = tz
+            df.to_csv(fp)
+    
+    mutex.release()
 

yfinance/version.py

@@ -1 +1 @@
-version = "0.1.81"
+version = "0.1.96"