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========================================================================================= FAILURES ========================================================================================== ______________________________________________________________________________ test_interest_over_time_youtube ______________________________________________________________________________ @pytest.mark.vcr def test_interest_over_time_youtube(): pytrend = TrendReq() pytrend.build_payload( kw_list=['pizza', 'bagel'], gprop='youtube', timeframe='2021-01-01 2021-01-05' ) df_result = pytrend.interest_over_time() df_expected = build_interest_over_time_df({ 'pizza': [88, 100, 100, 92, 95], 'bagel': [1, 1, 1, 2, 1] }, dates=['2021-01-01', '2021-01-02', '2021-01-03', '2021-01-04', '2021-01-05']) > assert_frame_equal(df_result, df_expected) tests/test_request.py:227: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ pandas/_libs/testing.pyx:52: in pandas._libs.testing.assert_almost_equal ??? _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ > ??? E AssertionError: DataFrame.iloc[:, 0] (column name="pizza") are different E E DataFrame.iloc[:, 0] (column name="pizza") values are different (80.0 %) E [index]: [2021-01-01T00:00:00.000000000, 2021-01-02T00:00:00.000000000, 2021-01-03T00:00:00.000000000, 2021-01-04T00:00:00.000000000, 2021-01-05T00:00:00.000000000] E [left]: [94, 99, 100, 94, 98] E [right]: [88, 100, 100, 92, 95] E At positional index 0, first diff: 94 != 88 pandas/_libs/testing.pyx:172: AssertionError ______________________________________________________________________________ test_interest_over_time_images _______________________________________________________________________________ @pytest.mark.vcr def test_interest_over_time_images(): pytrend = TrendReq() pytrend.build_payload( kw_list=['pizza', 'bagel'], gprop='images', timeframe='2021-01-01 2021-01-05' ) df_result = pytrend.interest_over_time() df_expected = build_interest_over_time_df({ 'pizza': [85, 100, 93, 93, 93], 'bagel': [3, 2, 9, 4, 4] }, dates=['2021-01-01', '2021-01-02', '2021-01-03', '2021-01-04', '2021-01-05']) > assert_frame_equal(df_result, df_expected) tests/test_request.py:195: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ pandas/_libs/testing.pyx:52: in pandas._libs.testing.assert_almost_equal ??? _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ > ??? E AssertionError: DataFrame.iloc[:, 0] (column name="pizza") are different E E DataFrame.iloc[:, 0] (column name="pizza") values are different (80.0 %) E [index]: [2021-01-01T00:00:00.000000000, 2021-01-02T00:00:00.000000000, 2021-01-03T00:00:00.000000000, 2021-01-04T00:00:00.000000000, 2021-01-05T00:00:00.000000000] E [left]: [89, 97, 84, 93, 100] E [right]: [85, 100, 93, 93, 93] E At positional index 0, first diff: 89 != 85 pandas/_libs/testing.pyx:172: AssertionError ____________________________________________________________________ test_multirange_interest_over_time_same_keyword_ok _____________________________________________________________________ @pytest.mark.vcr def test_multirange_interest_over_time_same_keyword_ok(): pytrend = TrendReq() pytrend.build_payload(kw_list=['pizza', 'pizza'], timeframe=['2021-01-01 2021-01-05', '2021-01-06 2021-01-10']) df_result = pytrend.multirange_interest_over_time() expected_result = ExpectedResult( length=6, df_head=pd.DataFrame({ '[0] pizza date': ['Average', 'Jan 1, 2021', 'Jan 2, 2021'], '[0] pizza value': [72, 100, 83], '[1] pizza date': ['Average', 'Jan 6, 2021', 'Jan 7, 2021'], '[1] pizza value': [68, 52, 52] }), df_tail=pd.DataFrame({ '[0] pizza date': ['Jan 3, 2021', 'Jan 4, 2021', 'Jan 5, 2021'], '[0] pizza value': [78, 49, 50], '[1] pizza date': ['Jan 8, 2021', 'Jan 9, 2021', 'Jan 10, 2021'], '[1] pizza value': [70, 89, 74] }, index=pd.Index([3, 4, 5])) ) > expected_result.assert_equals(df_result) tests/test_request.py:299: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ tests/test_request.py:29: in assert_equals assert_frame_equal(df_result.head(self.head_tail_length), self.df_head) pandas/_libs/testing.pyx:52: in pandas._libs.testing.assert_almost_equal ??? _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ > ??? E AssertionError: DataFrame.iloc[:, 1] (column name="[0] pizza value") are different E E DataFrame.iloc[:, 1] (column name="[0] pizza value") values are different (33.33333 %) E [index]: [0, 1, 2] E [left]: [72, 100, 81] E [right]: [72, 100, 83] E At positional index 2, first diff: 81 != 83 pandas/_libs/testing.pyx:172: AssertionError ______________________________________________________________________________ test_related_topics_result_top _______________________________________________________________________________ @pytest.mark.vcr def test_related_topics_result_top(): pytrend = TrendReq() pytrend.build_payload(kw_list=['pizza'], timeframe='2021-01-01 2021-12-31') df_result = pytrend.related_topics()['pizza']['top'] expected_result = ExpectedResult( length=21, df_head=pd.DataFrame({ 'value': [100, 23, 12], 'formattedValue': ['100', '23', '12'], 'hasData': [True, True, True], 'link': [ '/trends/explore?q=/m/0663v&date=2021-01-01+2021-12-31', '/trends/explore?q=/m/09cfq&date=2021-01-01+2021-12-31', '/trends/explore?q=/m/03clwm&date=2021-01-01+2021-12-31' ], 'topic_mid': ['/m/0663v', '/m/09cfq', '/m/03clwm'], 'topic_title': ['Pizza', 'Pizza Hut', "Domino's"], 'topic_type': ['Dish', 'Restaurant chain', 'Restaurant chain'], }), df_tail=pd.DataFrame({ 'value': [0, 0, 0], 'formattedValue': ['<1', '<1', '<1'], 'hasData': [True, True, True], 'link': [ '/trends/explore?q=/g/11b7c9w1y6&date=2021-01-01+2021-12-31', '/trends/explore?q=/m/09nghg&date=2021-01-01+2021-12-31', '/trends/explore?q=/m/0gwh_4&date=2021-01-01+2021-12-31', ], 'topic_mid': ['/g/11b7c9w1y6', '/m/09nghg', '/m/0gwh_4'], 'topic_title': ["Roman's Pizza", 'Sam Goody', 'Detroit-style pizza'], 'topic_type': ['Topic', 'Retail company', 'Food'] }, index=pd.Index([18, 19, 20])) ) > expected_result.assert_equals(df_result) tests/test_request.py:392: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ self = ExpectedResult(length=21, df_head= value formattedValue hasData link ...ends/explore?q=/m/0gwh_4&date=2021-01-01+20... /m/0gwh_4 Detroit-style pizza Food, head_tail_length=3) df_result = value formattedValue hasData link topic_mid ...trends/explore?q=/g/11k19hmrkk&date=2021-01-0... /g/11k19hmrkk Licorice Pizza 2021 film def assert_equals(self, df_result: pd.DataFrame): > assert len(df_result) == self.length E AssertionError: assert 20 == 21 E + where 20 = len( value ... topic_type\n0 100 ... Dish\n1 27 ... Restaurant chain\n2 16 ... Restaurant chain\n3 8 ... Topic\n4 4 ... Food\n5 4 ... Commerce\n6 4 ... Cooking appliance\n7 2 ... Topic\n8 2 ... Restaurant chain\n9 2 ... Topic\n10 2 ... Foodstuff\n11 2 ... Restaurant company\n12 2 ... Topic\n13 2 ... Restaurant company\n14 1 ... Restaurant company\n15 1 ... Restaurant chain\n16 1 ... Restaurant company\n17 1 ... Restaurant chain\n18 1 ... Food\n19 0 ... 2021 film\n\n[20 rows x 7 columns]) E + and 21 = ExpectedResult(length=21, df_head= value formattedValue hasData ... topic_mid topic_title topic_type\n0 100 100 True ... /m/0663v Pizza Dish\n1 23 23 True ... /m/09cfq Pizza Hut Restaurant chain\n2 12 12 True ... /m/03clwm Domino's Restaurant chain\n\n[3 rows x 7 columns], df_tail= value formattedValue ... topic_title topic_type\n18 0 <1 ... Roman's Pizza Topic\n19 0 <1 ... Sam Goody Retail company\n20 0 <1 ... Detroit-style pizza Food\n\n[3 rows x 7 columns], head_tail_length=3).length tests/test_request.py:28: AssertionError _______________________________________________________________________________ test_interest_over_time_news ________________________________________________________________________________ @pytest.mark.vcr def test_interest_over_time_news(): pytrend = TrendReq() pytrend.build_payload( kw_list=['pizza', 'bagel'], gprop='news', timeframe='2021-01-01 2021-01-05' ) df_result = pytrend.interest_over_time() df_expected = build_interest_over_time_df({ 'pizza': [100, 67, 78, 32, 75], 'bagel': [0, 0, 0, 20, 0] }, dates=['2021-01-01', '2021-01-02', '2021-01-03', '2021-01-04', '2021-01-05']) > assert_frame_equal(df_result, df_expected) tests/test_request.py:211: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ pandas/_libs/testing.pyx:52: in pandas._libs.testing.assert_almost_equal ??? _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ > ??? E AssertionError: DataFrame.iloc[:, 0] (column name="pizza") are different E E DataFrame.iloc[:, 0] (column name="pizza") values are different (100.0 %) E [index]: [2021-01-01T00:00:00.000000000, 2021-01-02T00:00:00.000000000, 2021-01-03T00:00:00.000000000, 2021-01-04T00:00:00.000000000, 2021-01-05T00:00:00.000000000] E [left]: [87, 75, 100, 27, 60] E [right]: [100, 67, 78, 32, 75] E At positional index 0, first diff: 87 != 100 pandas/_libs/testing.pyx:172: AssertionError ___________________________________________________________________________ test_multirange_interest_over_time_ok ___________________________________________________________________________ @pytest.mark.vcr def test_multirange_interest_over_time_ok(): pytrend = TrendReq() pytrend.build_payload(kw_list=['pizza', 'bagel'], timeframe=['2021-01-01 2021-01-05', '2021-01-06 2021-01-10']) df_result = pytrend.multirange_interest_over_time() expected_result = ExpectedResult( length=6, df_head=pd.DataFrame({ '[0] pizza date': ['Average', 'Jan 1, 2021', 'Jan 2, 2021'], '[0] pizza value': [72, 100, 83], '[1] bagel date': ['Average', 'Jan 6, 2021', 'Jan 7, 2021'], '[1] bagel value': [1, 1, 1] }), df_tail=pd.DataFrame({ '[0] pizza date': ['Jan 3, 2021', 'Jan 4, 2021', 'Jan 5, 2021'], '[0] pizza value': [78, 49, 50], '[1] bagel date': ['Jan 8, 2021', 'Jan 9, 2021', 'Jan 10, 2021'], '[1] bagel value': [1, 2, 2] }, index=pd.Index([3, 4, 5])) ) > expected_result.assert_equals(df_result) tests/test_request.py:275: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ tests/test_request.py:29: in assert_equals assert_frame_equal(df_result.head(self.head_tail_length), self.df_head) pandas/_libs/testing.pyx:52: in pandas._libs.testing.assert_almost_equal ??? _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ > ??? E AssertionError: DataFrame.iloc[:, 1] (column name="[0] pizza value") are different E E DataFrame.iloc[:, 1] (column name="[0] pizza value") values are different (33.33333 %) E [index]: [0, 1, 2] E [left]: [72, 100, 81] E [right]: [72, 100, 83] E At positional index 2, first diff: 81 != 83 pandas/_libs/testing.pyx:172: AssertionError _________________________________________________________________________________ test_trending_searches_ok _________________________________________________________________________________ @pytest.mark.vcr def test_trending_searches_ok(): pytrend = TrendReq() # trending_searches doesn't need to call build_payload. df_result = pytrend.trending_searches() # NOTE: This expected result needs to be rebuilt from scratch every time the cassette is rewritten. # They're time-dependent. expected_result = ExpectedResult( length=20, df_head=pd.DataFrame({0: ['Chabelo', 'Jonathan Majors', 'Benavidez vs Plant']}), df_tail=pd.DataFrame( {0: ['Gonzaga', 'Reese Witherspoon', 'France vs Netherlands']}, index=pd.Index([17, 18, 19]) ) ) > expected_result.assert_equals(df_result) tests/test_request.py:509: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ tests/test_request.py:29: in assert_equals assert_frame_equal(df_result.head(self.head_tail_length), self.df_head) pandas/_libs/testing.pyx:52: in pandas._libs.testing.assert_almost_equal ??? _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ > ??? E AssertionError: DataFrame.iloc[:, 0] (column name="0") are different E E DataFrame.iloc[:, 0] (column name="0") values are different (100.0 %) E [index]: [0, 1, 2] E [left]: [Japan earthquake, Chargers, Mason Rudolph] E [right]: [Chabelo, Jonathan Majors, Benavidez vs Plant] E At positional index 0, first diff: Japan earthquake != Chabelo pandas/_libs/testing.pyx:172: AssertionError ______________________________________________________________________________ test_interest_over_time_froogle ______________________________________________________________________________ @pytest.mark.vcr def test_interest_over_time_froogle(): pytrend = TrendReq() pytrend.build_payload( kw_list=['pizza', 'bagel'], gprop='froogle', timeframe='2021-01-01 2021-01-05' ) df_result = pytrend.interest_over_time() df_expected = build_interest_over_time_df({ 'pizza': [94, 99, 94, 62, 100], 'bagel': [0, 0, 0, 0, 8] }, dates=['2021-01-01', '2021-01-02', '2021-01-03', '2021-01-04', '2021-01-05']) > assert_frame_equal(df_result, df_expected) tests/test_request.py:243: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ pandas/_libs/testing.pyx:52: in pandas._libs.testing.assert_almost_equal ??? _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ > ??? E AssertionError: DataFrame.iloc[:, 0] (column name="pizza") are different E E DataFrame.iloc[:, 0] (column name="pizza") values are different (100.0 %) E [index]: [2021-01-01T00:00:00.000000000, 2021-01-02T00:00:00.000000000, 2021-01-03T00:00:00.000000000, 2021-01-04T00:00:00.000000000, 2021-01-05T00:00:00.000000000] E [left]: [95, 100, 93, 67, 80] E [right]: [94, 99, 94, 62, 100] E At positional index 0, first diff: 95 != 94 pandas/_libs/testing.pyx:172: AssertionError ________________________________________________________________________________ test_interest_by_region_ok _________________________________________________________________________________ @pytest.mark.vcr def test_interest_by_region_ok(): pytrend = TrendReq() pytrend.build_payload(kw_list=['pizza', 'bagel'], timeframe='2021-01-01 2021-12-31') df_result = pytrend.interest_by_region() # Both head and tail have all 0's in both values, sort the result to test more meaningful values df_result = df_result.sort_values(by=['bagel', 'pizza', 'geoName'], ascending=False) expected_result = ExpectedResult( length=250, df_head=pd.DataFrame({ 'pizza': [92, 94, 96], 'bagel': [8, 6, 4], }, index=pd.Index(['Singapore', 'Hong Kong', 'Taiwan'], name='geoName')), df_tail=pd.DataFrame({ 'pizza': [0, 0, 0], 'bagel': [0, 0, 0], }, index=pd.Index(['Algeria', 'Albania', 'Afghanistan'], name='geoName')) ) > expected_result.assert_equals(df_result) tests/test_request.py:320: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ tests/test_request.py:29: in assert_equals assert_frame_equal(df_result.head(self.head_tail_length), self.df_head) pandas/_libs/testing.pyx:52: in pandas._libs.testing.assert_almost_equal ??? _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ > ??? E AssertionError: DataFrame.iloc[:, 0] (column name="pizza") are different E E DataFrame.iloc[:, 0] (column name="pizza") values are different (33.33333 %) E [index]: [Singapore, Hong Kong, Taiwan] E [left]: [92, 95, 96] E [right]: [92, 94, 96] E At positional index 1, first diff: 95 != 94 pandas/_libs/testing.pyx:172: AssertionError ____________________________________________________________________________________ test_suggestions_ok ____________________________________________________________________________________ @pytest.mark.vcr def test_suggestions_ok(): pytrend = TrendReq() # suggestions doesn't need to call build_payload. result = pytrend.suggestions(keyword='pizza') expected = [ {'mid': '/m/0663v', 'title': 'Pizza', 'type': 'Dish'}, {'mid': '/g/11k19hmrkk', 'title': 'Licorice Pizza', 'type': '2021 film'}, {'mid': '/m/0rg8s1t', 'title': 'Dominos Pizza', 'type': 'Topic'}, {'mid': '/m/0dfxdnc', 'title': 'Pizza dough', 'type': 'Food'}, {'mid': '/g/11hdxfw7c0', 'title': 'history of pizza', 'type': 'Food'}, ] > assert result == expected E AssertionError: assert [{'mid': '/m/...ype': 'Food'}] == [{'mid': '/m/...ype': 'Food'}] E At index 1 diff: {'mid': '/m/0dfxdnc', 'title': 'Pizza dough', 'type': 'Food'} != {'mid': '/g/11k19hmrkk', 'title': 'Licorice Pizza', 'type': '2021 film'} E Full diff: E [ E {'mid': '/m/0663v', 'title': 'Pizza', 'type': 'Dish'}, E + {'mid': '/m/0dfxdnc', 'title': 'Pizza dough', 'type': 'Food'}, E {'mid': '/g/11k19hmrkk', 'title': 'Licorice Pizza', 'type': '2021 film'}, E - {'mid': '/m/0rg8s1t', 'title': 'Dominos Pizza', 'type': 'Topic'},... E E ...Full output truncated (9 lines hidden), use '-vv' to show tests/test_request.py:598: AssertionError ____________________________________________________________________________ test_realtime_trending_searches_ok _____________________________________________________________________________ @pytest.mark.vcr def test_realtime_trending_searches_ok(): pytrend = TrendReq() # realtime_trending_searches doesn't need to call build_payload. df_result = pytrend.realtime_trending_searches() # NOTE: This expected result needs to be rebuilt from scratch every time the cassette is rewritten. # They're time-dependent. # NOTE: The result returned by this function is a monster. # Strings of almost 200 characters, lists of strings, lists of lists of strings... # Rebuilding a full 3-head-tail result from scratch is a chore, with a single record for head # and tail is more than enough. expected_result = ExpectedResult( length=111, head_tail_length=1, df_head=pd.DataFrame({ 'title': [ ('Caleb Plant, ' 'Boxing, Canelo Álvarez, ' 'David Benavidez, ' 'Anthony Dirrell') ], 'entityNames': [ [ 'Caleb Plant', 'Boxing', 'Canelo Álvarez', 'David Benavidez', 'Anthony Dirrell', ] ] }), df_tail=pd.DataFrame({ 'title': [ ('Ron DeSantis, ' 'Casey DeSantis, ' 'Republican Party, ' 'Christina DeSantis') ], 'entityNames': [ [ 'Ron DeSantis', 'Casey DeSantis', 'Republican Party', 'Christina DeSantis', ] ] }, index=pd.Index([110])) ) > expected_result.assert_equals(df_result) tests/test_request.py:560: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ self = ExpectedResult(length=111, df_head= title ...n DeSantis, Casey DeSantis, Republican Party... [Ron DeSantis, Casey DeSantis, Republican Part..., head_tail_length=1) df_result = title entityNames 0 Oregon Du...rterback, U... 10 Northrop Grumman B-2 Spirit, Flypast, Bomber, ... [Northrop Grumman B-2 Spirit, Flypast, Bomber,... def assert_equals(self, df_result: pd.DataFrame): > assert len(df_result) == self.length E assert 11 == 111 E + where 11 = len( title entityNames\n0 Oregon Ducks football, The Fiesta Bowl, Bowl g... [Oregon Ducks football, The Fiesta Bowl, Bowl ...\n1 LSU Tigers football, Texas A&M Aggies football... [LSU Tigers football, Texas A&M Aggies footbal...\n2 Wisconsin Badgers football, Linebacker, Americ... [Wisconsin Badgers football, Linebacker, Ameri...\n3 College Football Playoff, College GameDay, Ame... [College Football Playoff, College GameDay, Am...\n4 Earthquake, California, Rancho Palos Verdes, L... [Earthquake, California, Rancho Palos Verdes, ...\n5 Iowa Hawkeyes football, The University of Iowa... [Iowa Hawkeyes football, The University of Iow...\n6 San Diego Zoo, Rose Parade floats, Parade, Pas... [San Diego Zoo, Rose Parade floats, Parade, Pa...\n7 Rose Parade, South Pasadena Tournament of Rose... [Rose Parade, South Pasadena Tournament of Ros...\n8 Rose Parade, Bagpipes, Parade, Pipe band, Sant... [Rose Parade, Bagpipes, Parade, Pipe band, San...\n9 Tennessee Volunteers football, Quarterback, Un... [Tennessee Volunteers football, Quarterback, U...\n10 Northrop Grumman B-2 Spirit, Flypast, Bomber, ... [Northrop Grumman B-2 Spirit, Flypast, Bomber,...) E + and 111 = ExpectedResult(length=111, df_head= title entityNames\n0 Caleb Plant, Boxing, Canelo Álvarez, David Ben... [Caleb Plant, Boxing, Canelo Álvarez, David Be..., df_tail= title entityNames\n110 Ron DeSantis, Casey DeSantis, Republican Party... [Ron DeSantis, Casey DeSantis, Republican Part..., head_tail_length=1).length tests/test_request.py:28: AssertionError ________________________________________________________________________________________ test_tokens ________________________________________________________________________________________ @pytest.mark.vcr def test_tokens(): pytrend = TrendReq() pytrend.build_payload(kw_list=["pizza", "bagel"], timeframe='2021-01-01 2021-12-31') expected = [ { "request": { "restriction": { "geo": {}, "time": "2021-01-01 2021-12-31", "originalTimeRangeForExploreUrl": "2021-01-01 2021-12-31", "complexKeywordsRestriction": { "keyword": [{"type": "BROAD", "value": "pizza"}] }, }, "keywordType": "QUERY", "metric": ["TOP", "RISING"], "trendinessSettings": {"compareTime": "2020-01-02 2020-12-31"}, "requestOptions": {"property": "", "backend": "IZG", "category": 0}, "language": "en", "userCountryCode": "ES", "userConfig": {"userType": "USER_TYPE_SCRAPER"}, }, # We don't care if the help dialog changes. "helpDialog": ANY, "color": "PALETTE_COLOR_1", "keywordName": "pizza", # The token will change in every request. "token": ANY, "id": "RELATED_QUERIES_0", "type": "fe_related_searches", "title": "Related queries", "template": "fe", "embedTemplate": "fe_embed", "version": "1", "isLong": False, "isCurated": False, }, { "request": { "restriction": { "geo": {}, "time": "2021-01-01 2021-12-31", "originalTimeRangeForExploreUrl": "2021-01-01 2021-12-31", "complexKeywordsRestriction": { "keyword": [{"type": "BROAD", "value": "bagel"}] }, }, "keywordType": "QUERY", "metric": ["TOP", "RISING"], "trendinessSettings": {"compareTime": "2020-01-02 2020-12-31"}, "requestOptions": {"property": "", "backend": "IZG", "category": 0}, "language": "en", "userCountryCode": "ES", "userConfig": {"userType": "USER_TYPE_SCRAPER"}, }, # We don't care if the help dialog changes. "helpDialog": ANY, "color": "PALETTE_COLOR_2", "keywordName": "bagel", # The token will change in every request. "token": ANY, "id": "RELATED_QUERIES_1", "type": "fe_related_searches", "title": "Related queries", "template": "fe", "embedTemplate": "fe_embed", "version": "1", "isLong": False, "isCurated": False, }, ] > assert pytrend.related_queries_widget_list == expected E AssertionError: assert [{'color': 'P...RIES_1', ...}] == [{'color': 'P...RIES_1', ...}] E At index 0 diff: {'request': {'restriction': {'geo': {}, 'time': '2021-01-01 2021-12-31', 'originalTimeRangeForExploreUrl': '2021-01-01 2021-12-31', 'complexKeywordsRestriction': {'keyword': [{'type': 'BROAD', 'value': 'pizza'}]}}, 'keywordType': 'QUERY', 'metric': ['TOP', 'RISING'], 'trendinessSettings': {'compareTime': '2020-01-02 2020-12-31'}, 'requestOptions': {'property': '', 'backend': 'IZG', 'category': 0}, 'language': 'en', 'userCountryCode': 'US', 'userConfig': {'userType': 'USER_TYPE_SCRAPER'}}, 'helpDialog': {'title': 'Related queries', 'content': 'Users sear... E E ...Full output truncated (96 lines hidden), use '-vv' to show tests/test_request.py:167: AssertionError ________________________________________________________________________________ test_interest_over_time_ok _________________________________________________________________________________ @pytest.mark.vcr def test_interest_over_time_ok(): pytrend = TrendReq() pytrend.build_payload(kw_list=['pizza', 'bagel'], timeframe='2021-01-01 2021-01-05') df_result = pytrend.interest_over_time() df_expected = build_interest_over_time_df({ 'pizza': [100, 83, 78, 49, 50], 'bagel': [2, 2, 2, 1, 1] }, dates=['2021-01-01', '2021-01-02', '2021-01-03', '2021-01-04', '2021-01-05']) > assert_frame_equal(df_result, df_expected) tests/test_request.py:179: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ pandas/_libs/testing.pyx:52: in pandas._libs.testing.assert_almost_equal ??? _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ > ??? E AssertionError: DataFrame.iloc[:, 0] (column name="pizza") are different E E DataFrame.iloc[:, 0] (column name="pizza") values are different (60.0 %) E [index]: [2021-01-01T00:00:00.000000000, 2021-01-02T00:00:00.000000000, 2021-01-03T00:00:00.000000000, 2021-01-04T00:00:00.000000000, 2021-01-05T00:00:00.000000000] E [left]: [100, 81, 79, 49, 52] E [right]: [100, 83, 78, 49, 50] E At positional index 1, first diff: 81 != 83 pandas/_libs/testing.pyx:172: AssertionError __________________________________________________________________________ test_interest_by_region_city_resolution __________________________________________________________________________ @pytest.mark.vcr def test_interest_by_region_city_resolution(): pytrend = TrendReq() pytrend.build_payload(kw_list=['pizza', 'bagel'], timeframe='2021-01-01 2021-12-31') df_result = pytrend.interest_by_region(resolution='CITY') # Both head and tail have all 0's in both values, sort the result to test more meaningful values df_result = df_result.sort_values(by=['bagel', 'pizza', 'geoName'], ascending=False) expected_result = ExpectedResult( length=200, df_head=pd.DataFrame({ 'pizza': [97, 97, 98], 'bagel': [3, 3, 2], }, index=pd.Index(['Charlotte', 'Altamonte Springs', 'Portland'], name='geoName')), df_tail=pd.DataFrame({ 'pizza': [0, 0, 0], 'bagel': [0, 0, 0], }, index=pd.Index(['Albany', 'Aix-en-Provence', 'Aalborg'], name='geoName')) ) > expected_result.assert_equals(df_result) tests/test_request.py:341: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ tests/test_request.py:29: in assert_equals assert_frame_equal(df_result.head(self.head_tail_length), self.df_head) pandas/_libs/testing.pyx:52: in pandas._libs.testing.assert_almost_equal ??? _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ > ??? E AssertionError: DataFrame.index are different E E DataFrame.index values are different (100.0 %) E [left]: Index(['Worcester', 'London', 'Birmingham'], dtype='object', name='geoName') E [right]: Index(['Charlotte', 'Altamonte Springs', 'Portland'], dtype='object', name='geoName') E At positional index 0, first diff: Worcester != Charlotte pandas/_libs/testing.pyx:172: AssertionError ______________________________________________________________________________ test_related_queries_result_top ______________________________________________________________________________ @pytest.mark.vcr def test_related_queries_result_top(): pytrend = TrendReq() pytrend.build_payload(kw_list=['pizza', 'bagel'], timeframe='2021-01-01 2021-12-31') df_result = pytrend.related_queries() expected_pizza = ExpectedResult( length=25, df_head=pd.DataFrame({ 'query': ['pizza hut', 'pizza near me', 'pizza pizza near me'], 'value': [100, 68, 65], }), df_tail=pd.DataFrame({ 'query': ['pizza little caesars', 'cheese pizza', 'new york pizza'], 'value': [5, 5, 5], }, index=pd.Index([22, 23, 24])) ) > expected_pizza.assert_equals(df_result['pizza']['top']) tests/test_request.py:445: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ tests/test_request.py:29: in assert_equals assert_frame_equal(df_result.head(self.head_tail_length), self.df_head) pandas/_libs/testing.pyx:52: in pandas._libs.testing.assert_almost_equal ??? _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ > ??? E AssertionError: DataFrame.iloc[:, 0] (column name="query") are different E E DataFrame.iloc[:, 0] (column name="query") values are different (33.33333 %) E [index]: [0, 1, 2] E [left]: [pizza hut, pizza near me, pizza dominos] E [right]: [pizza hut, pizza near me, pizza pizza near me] E At positional index 2, first diff: pizza dominos != pizza pizza near me pandas/_libs/testing.pyx:172: AssertionError _____________________________________________________________________________ test_related_topics_result_rising _____________________________________________________________________________ @pytest.mark.vcr def test_related_topics_result_rising(): pytrend = TrendReq() pytrend.build_payload(kw_list=['pizza'], timeframe='2021-01-01 2021-12-31') df_result = pytrend.related_topics()['pizza']['rising'] df_expected = pd.DataFrame({ 'value': [12600, 160, 80, 70], 'formattedValue': ['Breakout', '+160%', '+80%', '+70%'], 'link': [ '/trends/explore?q=/m/09nghg&date=2021-01-01+2021-12-31', '/trends/explore?q=/m/0gwh_4&date=2021-01-01+2021-12-31', '/trends/explore?q=/g/11g6qhxwmd&date=2021-01-01+2021-12-31', '/trends/explore?q=/m/02hvyj&date=2021-01-01+2021-12-31', ], 'topic_mid': ['/m/09nghg', '/m/0gwh_4', '/g/11g6qhxwmd', '/m/02hvyj'], 'topic_title': ['Sam Goody', 'Detroit-style pizza', 'Ooni', 'Mystic Pizza'], 'topic_type': ['Retail company', 'Food', 'Topic', '1988 film'], }) > assert_frame_equal(df_result, df_expected) E AssertionError: DataFrame are different E E DataFrame shape mismatch E [left]: (11, 6) E [right]: (4, 6) tests/test_request.py:413: AssertionError ____________________________________________________________________________ test_related_queries_result_rising _____________________________________________________________________________ @pytest.mark.vcr def test_related_queries_result_rising(): pytrend = TrendReq() pytrend.build_payload(kw_list=['pizza', 'bagel'], timeframe='2021-01-01 2021-12-31') df_result = pytrend.related_queries() expected_pizza = ExpectedResult( length=11, df_head=pd.DataFrame({ 'query': ['licorice pizza', 'history of pizza', 'stoned pizza'], 'value': [8550, 400, 300], }), df_tail=pd.DataFrame({ 'query': ['incredible pizza', 'mountain mike pizza', 'angels pizza'], 'value': [60, 50, 40], }, index=pd.Index([8, 9, 10])) ) > expected_pizza.assert_equals(df_result['pizza']['rising']) tests/test_request.py:478: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ self = ExpectedResult(length=11, df_head= query value 0 licorice pizza 8550 1 history of pizza 400 2 ...value 8 incredible pizza 60 9 mountain mike pizza 50 10 angels pizza 40, head_tail_length=3) df_result = query value 0 licorice pizza 8650 1 history of pizza 400 2 ooni pizza oven 80 3 mystic pizza 60 def assert_equals(self, df_result: pd.DataFrame): > assert len(df_result) == self.length E assert 4 == 11 E + where 4 = len( query value\n0 licorice pizza 8650\n1 history of pizza 400\n2 ooni pizza oven 80\n3 mystic pizza 60) E + and 11 = ExpectedResult(length=11, df_head= query value\n0 licorice pizza 8550\n1 history of pizza 400\n2 stoned pizza 300, df_tail= query value\n8 incredible pizza 60\n9 mountain mike pizza 50\n10 angels pizza 40, head_tail_length=3).length tests/test_request.py:28: AssertionError ===================================================================================== warnings summary ====================================================================================== tests/test_request.py:63 /usr/ports/finance/py-pytrends/work-py39/pytrends-4.9.2/tests/test_request.py:63: PytestUnknownMarkWarning: Unknown pytest.mark.vcr - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.vcr tests/test_request.py:77 /usr/ports/finance/py-pytrends/work-py39/pytrends-4.9.2/tests/test_request.py:77: PytestUnknownMarkWarning: Unknown pytest.mark.vcr - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.vcr tests/test_request.py:95 /usr/ports/finance/py-pytrends/work-py39/pytrends-4.9.2/tests/test_request.py:95: PytestUnknownMarkWarning: Unknown pytest.mark.vcr - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.vcr tests/test_request.py:170 /usr/ports/finance/py-pytrends/work-py39/pytrends-4.9.2/tests/test_request.py:170: PytestUnknownMarkWarning: Unknown pytest.mark.vcr - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.vcr tests/test_request.py:182 /usr/ports/finance/py-pytrends/work-py39/pytrends-4.9.2/tests/test_request.py:182: PytestUnknownMarkWarning: Unknown pytest.mark.vcr - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.vcr tests/test_request.py:198 /usr/ports/finance/py-pytrends/work-py39/pytrends-4.9.2/tests/test_request.py:198: PytestUnknownMarkWarning: Unknown pytest.mark.vcr - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.vcr tests/test_request.py:214 /usr/ports/finance/py-pytrends/work-py39/pytrends-4.9.2/tests/test_request.py:214: PytestUnknownMarkWarning: Unknown pytest.mark.vcr - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.vcr tests/test_request.py:230 /usr/ports/finance/py-pytrends/work-py39/pytrends-4.9.2/tests/test_request.py:230: PytestUnknownMarkWarning: Unknown pytest.mark.vcr - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.vcr tests/test_request.py:246 /usr/ports/finance/py-pytrends/work-py39/pytrends-4.9.2/tests/test_request.py:246: PytestUnknownMarkWarning: Unknown pytest.mark.vcr - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.vcr tests/test_request.py:254 /usr/ports/finance/py-pytrends/work-py39/pytrends-4.9.2/tests/test_request.py:254: PytestUnknownMarkWarning: Unknown pytest.mark.vcr - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.vcr tests/test_request.py:278 /usr/ports/finance/py-pytrends/work-py39/pytrends-4.9.2/tests/test_request.py:278: PytestUnknownMarkWarning: Unknown pytest.mark.vcr - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.vcr tests/test_request.py:302 /usr/ports/finance/py-pytrends/work-py39/pytrends-4.9.2/tests/test_request.py:302: PytestUnknownMarkWarning: Unknown pytest.mark.vcr - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.vcr tests/test_request.py:323 /usr/ports/finance/py-pytrends/work-py39/pytrends-4.9.2/tests/test_request.py:323: PytestUnknownMarkWarning: Unknown pytest.mark.vcr - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.vcr tests/test_request.py:346 /usr/ports/finance/py-pytrends/work-py39/pytrends-4.9.2/tests/test_request.py:346: PytestUnknownMarkWarning: Unknown pytest.mark.vcr - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.vcr tests/test_request.py:358 /usr/ports/finance/py-pytrends/work-py39/pytrends-4.9.2/tests/test_request.py:358: PytestUnknownMarkWarning: Unknown pytest.mark.vcr - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.vcr tests/test_request.py:395 /usr/ports/finance/py-pytrends/work-py39/pytrends-4.9.2/tests/test_request.py:395: PytestUnknownMarkWarning: Unknown pytest.mark.vcr - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.vcr tests/test_request.py:416 /usr/ports/finance/py-pytrends/work-py39/pytrends-4.9.2/tests/test_request.py:416: PytestUnknownMarkWarning: Unknown pytest.mark.vcr - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.vcr tests/test_request.py:428 /usr/ports/finance/py-pytrends/work-py39/pytrends-4.9.2/tests/test_request.py:428: PytestUnknownMarkWarning: Unknown pytest.mark.vcr - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.vcr tests/test_request.py:461 /usr/ports/finance/py-pytrends/work-py39/pytrends-4.9.2/tests/test_request.py:461: PytestUnknownMarkWarning: Unknown pytest.mark.vcr - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.vcr tests/test_request.py:494 /usr/ports/finance/py-pytrends/work-py39/pytrends-4.9.2/tests/test_request.py:494: PytestUnknownMarkWarning: Unknown pytest.mark.vcr - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.vcr tests/test_request.py:512 /usr/ports/finance/py-pytrends/work-py39/pytrends-4.9.2/tests/test_request.py:512: PytestUnknownMarkWarning: Unknown pytest.mark.vcr - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.vcr tests/test_request.py:563 /usr/ports/finance/py-pytrends/work-py39/pytrends-4.9.2/tests/test_request.py:563: PytestUnknownMarkWarning: Unknown pytest.mark.vcr - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.vcr tests/test_request.py:586 /usr/ports/finance/py-pytrends/work-py39/pytrends-4.9.2/tests/test_request.py:586: PytestUnknownMarkWarning: Unknown pytest.mark.vcr - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.vcr tests/test_request.py:601 /usr/ports/finance/py-pytrends/work-py39/pytrends-4.9.2/tests/test_request.py:601: PytestUnknownMarkWarning: Unknown pytest.mark.vcr - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.vcr -- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html ======================================================================== 17 failed, 8 passed, 24 warnings in 29.19s =========================================================================
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