Esempio n. 1
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    def test_get_intraday(self):
        '''
        Test that it rolls over when there are 2 members of APIPrefs and the
        first one fails. Note that this will fail if one of the APIS has exhausted
        its limit today (or fails some other rule)
        SO ... if this test follows extensive testing of APIS
        '''
        # First exhaust the 1 minute quota of AlphaVantage
        avonly = APIChooser(self.apiset, orprefs=['av'])

        yesterday = dt.datetime.today() - dt.timedelta(1)
        d = util.getPrevTuesWed(yesterday)
        symbol = 'TSLA'
        start = pd.Timestamp(d.strftime("%Y%m%d " + '09:36:42'))
        end = pd.Timestamp(d.strftime("%Y%m%d " + '10:38:53'))
        minutes = 5

        for i in range(20):
            meta, df, ma = avonly.get_intraday(symbol, start, end, minutes)
            if df.empty:
                break

        # Now create new APIChoosers and test that the call rolls over
        for token in ['bc', 'fh']:
            chooser = APIChooser(self.apiset, orprefs=['av', token])
            meta, df, ma = chooser.get_intraday(symbol, start, end, minutes)
            if df.empty:
                logging.info(meta)
            msg = f"Failed to retrieve data from {token}. This could be normal operation or not. Its an http call. {start}-{end}"
            self.assertTrue(not df.empty, msg)
Esempio n. 2
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 def test_apiChooserLimitReached(self):
     '''
     This is designed to hit the limits of the apis. Do not want to run this with
     tests most of the time. Just fiddle with the orprefs and the REPEATS and watch the result
     '''
     REPEATS = 15
     orprefs = ['av']
     symbol = 'AAPL'
     minutes = 1
     d = util.getPrevTuesWed(pd.Timestamp.now())
     start = pd.Timestamp(d.strftime("%Y%m%d " + '09:36:42'))
     end = pd.Timestamp(d.strftime("%Y%m%d " + '09:38:53'))
     chooser = APIChooser(self.apiset, orprefs=orprefs)
     for i in range(REPEATS):
         chooser.apiChooserList(start, end)
         if chooser.api:
             intraday = chooser.apiChooser()
             meta, df, ma = intraday(symbol, start, end, minutes)
             if not df.empty:
                 print(i + 1, ' ', end='')
             else:
                 print()
                 print(meta)
                 print()
         else:
             print()
             print('Call number', i)
             for rule in chooser.violatedRules:
                 print(rule)
Esempio n. 3
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def localRun():
    '''Just running through the paces'''
    from structjour.stock.apichooser import APIChooser

    apiset = QSettings('zero_substance/stockapi', 'structjour')
    chooser = APIChooser(apiset)

    fp = FinPlot()
    fp.graph_candlestick('AAPL', chooser, start="2020-12-01", minutes=60)
Esempio n. 4
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    def test_apiChooser(self):
        '''
        Test the method FinPlot.apiChooser for the same interface in each api
        '''
        chooser = APIChooser(self.apiset)
        yesterday = dt.datetime.today() - dt.timedelta(1)
        biz = util.getLastWorkDay(yesterday)
        start = dt.datetime(biz.year, biz.month, biz.day, 12, 30)
        end = dt.datetime(biz.year, biz.month, biz.day, 16, 1)
        minutes = 1
        apis = chooser.preferences
        symbol = 'SQ'
        for api in apis:
            chooser.api = api
            result = chooser.apiChooserList(start, end, api)
            if result[0]:
                dummy, df, maDict = chooser.apiChooser()(symbol,
                                                         start=start,
                                                         end=end,
                                                         minutes=minutes,
                                                         showUrl=True)
                self.assertEqual(
                    len(df.columns), 5,
                    f"Failed to retrieve data with the {chooser.api} api.")
                self.assertTrue(
                    isinstance(df.index[0], dt.datetime),
                    f'Failed to set index to datetime in {chooser.api} api')
                cols = ['open', 'high', 'low', 'close', 'volume']
                for col in cols:
                    # print(col, type(df[col][0]), isinstance(df[col][0], (np.float, np.integer)))
                    self.assertTrue(col in df.columns)
                    self.assertTrue(
                        isinstance(df[col][0], (np.float, np.integer)))

                # This call should retrieve data within 1 bar of the requested start and finish.
                # Idiosyncracies of the APIs vary as to inclusion of first and last time index
                delt = df.index[0] - \
                    start if df.index[0] > start else start - df.index[0]
                self.assertLessEqual(delt.seconds, minutes * 60)

                # print('Retrieved {} candles from {} to {} for {}'.format(
                #     len(df), df.index[0], df.index[-1], symbol))
                # print()
            else:
                print(f'Skipped {api} at {start} to {end} because...')
                for rule in result[1]:
                    print(rule)