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How to use urlopen method in autotest

Best Python code snippet using autotest_python

test_scraper.py

Source:test_scraper.py

1#!/usr/bin/env python2import os3import sys4import inspect5file_path = os.path.dirname(inspect.getfile(inspect.currentframe()))6sys.path.insert(0, os.path.split(os.path.split(file_path)[0])[0])7import unittest8from unittest.mock import patch9import datetime10from market_data.scraper import Scraper, InvalidSourceError11from market_data.data import EquityData, InvalidTickerError, InvalidDateError12from market_data.data import EmptyDateListError13import market_data.tests.utils as test_utils14class ScraperTests(unittest.TestCase):15    def test_scrape_from_valid_source(self):16        scraper = Scraper('yahoo')17        self.assertIsInstance(scraper, Scraper)18        self.assertEqual(scraper.source, 'yahoo')19    def test_invalid_source_scrape_error(self):20        with self.assertRaises(InvalidSourceError):21            scraper = Scraper('google')22def load_test_data():23    test_file = r'market_data/tests/amzn_scrape_test_data.html'24    with open(test_file, 'rb') as f:25        data = f.read()26    return data27class ScraperYahooEquityPricesTests(unittest.TestCase):28    @patch('urllib.request.urlopen', autospec=True)29    def test_scrape_returns_correct_equity_data(self, mock_urlopen):30        ticker, dt, expected_data = test_utils.get_expected_equity_data()31        scraper = Scraper('yahoo')32        mock_urlopen_context = mock_urlopen.return_value.__enter__.return_value33        mock_urlopen_context.status = 20034        mock_urlopen_context.read.return_value = load_test_data()35        results = scraper.scrape_equity_data(ticker, dt)36        self.assertIsInstance(results, EquityData)37        self.assertEqual(results, expected_data,38                         msg=f'res: {results} != ex: {expected_data}')39    @patch('urllib.request.urlopen', autospec=True)40    def test_scrape_equity_data_with_date_and_time(self, mock_urlopen):41        ticker, dt, expected_data = test_utils.get_expected_equity_data()42        scraper = Scraper('yahoo')43        dt = datetime.datetime(dt.year, dt.month, dt.day, 19, 35, 33)44        mock_urlopen_context = mock_urlopen.return_value.__enter__.return_value45        mock_urlopen_context.status = 20046        mock_urlopen_context.read.return_value = load_test_data()47        results = scraper.scrape_equity_data(ticker, dt)48        self.assertIsInstance(results, EquityData)49        self.assertEqual(results, expected_data,50                         msg=f'res: {results} != ex: {expected_data}')51    @patch('urllib.request.urlopen', autospec=True)52    def test_scrape_invalid_date(self, mock_urlopen):53        ticker = 'AMZN'54        dt = datetime.datetime(2019, 9, 3)55        scraper = Scraper('yahoo')56        mock_urlopen_context = mock_urlopen.return_value.__enter__.return_value57        mock_urlopen_context.status = 20058        mock_urlopen_context.read.return_value = load_test_data()59        with self.assertRaises(InvalidDateError):60            results = scraper.scrape_equity_data(ticker, dt)61    @patch('urllib.request.urlopen', autospec=True)62    def test_scrape_invalid_ticker(self, mock_urlopen):63        ticker = 'AMZNN'64        dt = datetime.datetime(2019, 8, 23)65        scraper = Scraper('yahoo')66        mock_urlopen_context = mock_urlopen.return_value.__enter__.return_value67        mock_urlopen_context.read.return_value = b''68        with self.assertRaises(InvalidTickerError):69            results = scraper.scrape_equity_data(ticker, dt)70    @patch('urllib.request.urlopen', autospec=True)71    def test_scrape_page_found_but_invalid_ticker(self, mock_urlopen):72        ticker = 'AMZNN'73        dt = datetime.datetime(2019, 8, 23)74        scraper = Scraper('yahoo')75        mock_urlopen_context = mock_urlopen.return_value.__enter__.return_value76        mock_urlopen_context.status = 20077        mock_urlopen_context.read.return_value = b'<HTML><body></body></HTML>'78        with self.assertRaises(InvalidTickerError):79            results = scraper.scrape_equity_data(ticker, dt)80class ScraperYahooEquityMultipleDatesTests(unittest.TestCase):81    def setUp(self):82        self.ticker = 'AMZN'83    @patch('urllib.request.urlopen', autospec=True)84    def test_scrape_invalid_ticker(self, mock_urlopen):85        ticker = 'AMZNN'86        dt = datetime.datetime(2019, 8, 23)87        scraper = Scraper('yahoo')88        mock_urlopen = mock_urlopen.return_value.__enter__.return_value89        mock_urlopen.read.return_value = b''90        with self.assertRaises(InvalidTickerError):91            _, _ = scraper.scrape_eq_multiple_dates(ticker, [dt])92    @patch('urllib.request.urlopen', autospec=True)93    def test_scraper_empty_date_list_input(self, mock_urlopen):94        scraper = Scraper('yahoo')95        mock_urlopen = mock_urlopen.return_value.__enter__.return_value96        mock_urlopen.status = 20097        mock_urlopen.read.return_value = load_test_data()98        with self.assertRaises(EmptyDateListError):99            _, _ = scraper.scrape_eq_multiple_dates(self.ticker, [])100    @patch('urllib.request.urlopen', autospec=True)101    def test_scraper_single_date(self, mock_urlopen):102        ticker, dt, expected_data = test_utils.get_expected_equity_data()103        scraper = Scraper('yahoo')104        mock_urlopen = mock_urlopen.return_value.__enter__.return_value105        mock_urlopen.status = 200106        mock_urlopen.read.return_value = load_test_data()107        data, errors = scraper.scrape_eq_multiple_dates(ticker, [dt])108        self.assertEqual(len(data), 1)109        self.assertEqual(len(errors), 0)110        self.assertIsInstance(data[0][1], EquityData)111        self.assertEqual(data[0][0], dt.date())112        self.assertEqual(data[0][1], expected_data,113                         msg=f'res: {data[0][1]} != ex: {expected_data}')114    @patch('urllib.request.urlopen', autospec=True)115    def test_scraper_multiple_valid_dates(self, mock_urlopen):116        test_data = test_utils.load_test_data()117        scraper = Scraper('yahoo')118        mock_urlopen = mock_urlopen.return_value.__enter__.return_value119        mock_urlopen.status = 200120        mock_urlopen.read.return_value = load_test_data()121        dt_1 = datetime.datetime(2019, 8, 26)122        dt_2 = datetime.datetime(2019, 8, 23)123        dt_3 = datetime.datetime(2019, 8, 27)124        dates = (dt_1, dt_2, dt_3)125        data, errors = scraper.scrape_eq_multiple_dates(self.ticker, dates)126        self.assertEqual(len(data), 3)127        self.assertEqual(len(errors), 0)128        for d in data:129            self.assertIsInstance(d[1], EquityData)130        for i, date in enumerate(dates):131            self.assertEqual(data[i][0], date.date())132            expected_data = test_utils.get_test_data(test_data, self.ticker,133                                                     date)134            self.assertEqual(data[i][1], expected_data,135                             msg=f'res: {data[i][1]} != ex: {expected_data}')136    @patch('urllib.request.urlopen', autospec=True)137    def test_valid_and_non_valid_dates(self, mock_urlopen):138        test_data = test_utils.load_test_data()139        scraper = Scraper('yahoo')140        mock_urlopen = mock_urlopen.return_value.__enter__.return_value141        mock_urlopen.status = 200142        mock_urlopen.read.return_value = load_test_data()143        dt_1 = datetime.datetime(2019, 8, 26)144        dt_2 = datetime.datetime(2019, 8, 23)145        dt_3 = datetime.datetime(2019, 9, 2)146        dt_4 = datetime.datetime(2019, 8, 27)147        dt_5 = datetime.datetime(2019, 9, 4)148        dates = (dt_1, dt_2, dt_3, dt_4, dt_5)149        data, errors = scraper.scrape_eq_multiple_dates(self.ticker, dates)150        self.assertEqual(len(data), 3)151        self.assertEqual(len(errors), 2)152        # data checks153        for d in data:154            self.assertIsInstance(d[1], EquityData)155        for i, date in enumerate((dt_1, dt_2, dt_4)):156            self.assertEqual(data[i][0], date.date())157            expected_data = test_utils.get_test_data(test_data, self.ticker,158                                                     date)159            self.assertEqual(data[i][1], expected_data,160                             msg=f'res: {data[i][1]} != ex: {expected_data}')161        # error checks162        for i, date in enumerate((dt_3, dt_5)):163            self.assertIsInstance(errors[i], InvalidDateError)164            self.assertEqual(str(date.date()), str(errors[i]))165    @patch('urllib.request.urlopen', autospec=True)166    def test_no_valid_dates(self, mock_urlopen):167        scraper = Scraper('yahoo')168        mock_urlopen = mock_urlopen.return_value.__enter__.return_value169        mock_urlopen.status = 200170        mock_urlopen.read.return_value = load_test_data()171        dt_1 = datetime.datetime(2019, 9, 2)172        dt_2 = datetime.datetime(2019, 9, 4)173        dates = (dt_1, dt_2)174        data, errors = scraper.scrape_eq_multiple_dates(self.ticker, dates)175        self.assertEqual(len(data), 0)176        self.assertEqual(len(errors), 2)177        for i, error in enumerate(errors):178            self.assertIsInstance(error, InvalidDateError)179            self.assertEqual(str(dates[i].date()), str(error))180if __name__ == '__main__':...

test_mldata.py

Source:test_mldata.py

...33@with_setup(setup_tmpdata, teardown_tmpdata)34def test_download():35    """Test that fetch_mldata is able to download and cache a data set."""36    _urlopen_ref = datasets.mldata.urlopen37    datasets.mldata.urlopen = mock_mldata_urlopen({38        'mock': {39            'label': sp.ones((150,)),40            'data': sp.ones((150, 4)),41        },42    })43    try:44        mock = fetch_mldata('mock', data_home=tmpdir)45        for n in ["COL_NAMES", "DESCR", "target", "data"]:46            assert_in(n, mock)47        assert_equal(mock.target.shape, (150,))48        assert_equal(mock.data.shape, (150, 4))49        assert_raises(datasets.mldata.HTTPError,50                      fetch_mldata, 'not_existing_name')51    finally:52        datasets.mldata.urlopen = _urlopen_ref53@with_setup(setup_tmpdata, teardown_tmpdata)54def test_fetch_one_column():55    _urlopen_ref = datasets.mldata.urlopen56    try:57        dataname = 'onecol'58        # create fake data set in cache59        x = sp.arange(6).reshape(2, 3)60        datasets.mldata.urlopen = mock_mldata_urlopen({dataname: {'x': x}})61        dset = fetch_mldata(dataname, data_home=tmpdir)62        for n in ["COL_NAMES", "DESCR", "data"]:63            assert_in(n, dset)64        assert_not_in("target", dset)65        assert_equal(dset.data.shape, (2, 3))66        assert_array_equal(dset.data, x)67        # transposing the data array68        dset = fetch_mldata(dataname, transpose_data=False, data_home=tmpdir)69        assert_equal(dset.data.shape, (3, 2))70    finally:71        datasets.mldata.urlopen = _urlopen_ref72@with_setup(setup_tmpdata, teardown_tmpdata)73def test_fetch_multiple_column():74    _urlopen_ref = datasets.mldata.urlopen75    try:76        # create fake data set in cache77        x = sp.arange(6).reshape(2, 3)78        y = sp.array([1, -1])79        z = sp.arange(12).reshape(4, 3)80        # by default81        dataname = 'threecol-default'82        datasets.mldata.urlopen = mock_mldata_urlopen({83            dataname: (84                {85                    'label': y,86                    'data': x,87                    'z': z,88                },89                ['z', 'data', 'label'],90            ),91        })92        dset = fetch_mldata(dataname, data_home=tmpdir)93        for n in ["COL_NAMES", "DESCR", "target", "data", "z"]:94            assert_in(n, dset)95        assert_not_in("x", dset)96        assert_not_in("y", dset)97        assert_array_equal(dset.data, x)98        assert_array_equal(dset.target, y)99        assert_array_equal(dset.z, z.T)100        # by order101        dataname = 'threecol-order'102        datasets.mldata.urlopen = mock_mldata_urlopen({103            dataname: ({'y': y, 'x': x, 'z': z},104                       ['y', 'x', 'z']), })105        dset = fetch_mldata(dataname, data_home=tmpdir)106        for n in ["COL_NAMES", "DESCR", "target", "data", "z"]:107            assert_in(n, dset)108        assert_not_in("x", dset)109        assert_not_in("y", dset)110        assert_array_equal(dset.data, x)111        assert_array_equal(dset.target, y)112        assert_array_equal(dset.z, z.T)113        # by number114        dataname = 'threecol-number'115        datasets.mldata.urlopen = mock_mldata_urlopen({116            dataname: ({'y': y, 'x': x, 'z': z},117                       ['z', 'x', 'y']),118        })119        dset = fetch_mldata(dataname, target_name=2, data_name=0,120                            data_home=tmpdir)121        for n in ["COL_NAMES", "DESCR", "target", "data", "x"]:122            assert_in(n, dset)123        assert_not_in("y", dset)124        assert_not_in("z", dset)125        assert_array_equal(dset.data, z)126        assert_array_equal(dset.target, y)127        # by name128        dset = fetch_mldata(dataname, target_name='y', data_name='z',129                            data_home=tmpdir)...

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