import pytest import ammico.text as tt import spacy import json import sys @pytest.fixture def set_testdict(get_path): testdict = { "IMG_3755": { "filename": get_path + "IMG_3755.jpg", }, "IMG_3756": { "filename": get_path + "IMG_3756.jpg", }, "IMG_3757": { "filename": get_path + "IMG_3757.jpg", }, } return testdict LANGUAGES = ["de", "en", "en"] @pytest.fixture def accepted(monkeypatch): monkeypatch.setenv("OTHER_VAR", "True") tt.TextDetector({}, accept_privacy="OTHER_VAR") return "OTHER_VAR" def test_privacy_statement(monkeypatch): # test pre-set variables: privacy monkeypatch.delattr("builtins.input", raising=False) monkeypatch.setenv("OTHER_VAR", "something") with pytest.raises(ValueError): tt.TextDetector({}, accept_privacy="OTHER_VAR") monkeypatch.setenv("OTHER_VAR", "False") with pytest.raises(ValueError): tt.TextDetector({}, accept_privacy="OTHER_VAR") with pytest.raises(ValueError): tt.TextDetector({}, accept_privacy="OTHER_VAR").get_text_from_image() with pytest.raises(ValueError): tt.TextDetector({}, accept_privacy="OTHER_VAR").translate_text() monkeypatch.setenv("OTHER_VAR", "True") pd = tt.TextDetector({}, accept_privacy="OTHER_VAR") assert pd.accepted def test_TextDetector(set_testdict, accepted): for item in set_testdict: test_obj = tt.TextDetector(set_testdict[item], accept_privacy=accepted) assert not test_obj.skip_extraction assert test_obj.subdict["filename"] == set_testdict[item]["filename"] test_obj = tt.TextDetector({}, skip_extraction=True, accept_privacy=accepted) assert test_obj.skip_extraction with pytest.raises(ValueError): tt.TextDetector({}, skip_extraction=1.0, accept_privacy=accepted) def test_run_spacy(set_testdict, get_path, accepted): test_obj = tt.TextDetector(set_testdict["IMG_3755"], accept_privacy=accepted) ref_file = get_path + "text_IMG_3755.txt" with open(ref_file, "r") as file: reference_text = file.read() test_obj.subdict["text_english"] = reference_text test_obj._run_spacy() assert isinstance(test_obj.doc, spacy.tokens.doc.Doc) def test_check_add_space_after_full_stop(accepted): test_obj = tt.TextDetector({}, accept_privacy=accepted) test_obj.subdict["text"] = "I like cats. I like dogs." test_obj._check_add_space_after_full_stop() assert test_obj.subdict["text"] == "I like cats. I like dogs." test_obj.subdict["text"] = "I like cats." test_obj._check_add_space_after_full_stop() assert test_obj.subdict["text"] == "I like cats." test_obj.subdict["text"] = "www.icanhascheezburger.com" test_obj._check_add_space_after_full_stop() assert test_obj.subdict["text"] == "www. icanhascheezburger. com" def test_truncate_text(accepted): test_obj = tt.TextDetector({}, accept_privacy=accepted) test_obj.subdict["text"] = "I like cats and dogs." test_obj._truncate_text() assert test_obj.subdict["text"] == "I like cats and dogs." assert "text_truncated" not in test_obj.subdict test_obj.subdict["text"] = 20000 * "m" test_obj._truncate_text() assert test_obj.subdict["text_truncated"] == 5000 * "m" assert test_obj.subdict["text"] == 20000 * "m" @pytest.mark.gcv def test_analyse_image(set_testdict, set_environ, accepted): for item in set_testdict: test_obj = tt.TextDetector(set_testdict[item], accept_privacy=accepted) test_obj.analyse_image() test_obj = tt.TextDetector(set_testdict[item], accept_privacy=accepted) test_obj.analyse_image() testdict = {} testdict["text"] = 20000 * "m" test_obj = tt.TextDetector(testdict, skip_extraction=True, accept_privacy=accepted) test_obj.analyse_image() assert test_obj.subdict["text_truncated"] == 5000 * "m" assert test_obj.subdict["text"] == 20000 * "m" @pytest.mark.gcv def test_get_text_from_image(set_testdict, get_path, set_environ, accepted): for item in set_testdict: test_obj = tt.TextDetector(set_testdict[item], accept_privacy=accepted) test_obj.get_text_from_image() ref_file = get_path + "text_" + item + ".txt" with open(ref_file, "r", encoding="utf8") as file: reference_text = file.read().replace("\n", " ") assert test_obj.subdict["text"].replace("\n", " ") == reference_text def test_translate_text(set_testdict, get_path, accepted): for item, lang in zip(set_testdict, LANGUAGES): test_obj = tt.TextDetector(set_testdict[item], accept_privacy=accepted) ref_file = get_path + "text_" + item + ".txt" trans_file = get_path + "text_translated_" + item + ".txt" with open(ref_file, "r", encoding="utf8") as file: reference_text = file.read().replace("\n", " ") with open(trans_file, "r", encoding="utf8") as file: true_translated_text = file.read().replace("\n", " ") test_obj.subdict["text"] = reference_text test_obj.translate_text() assert test_obj.subdict["text_language"] == lang translated_text = test_obj.subdict["text_english"].lower().replace("\n", " ") for word in true_translated_text.lower(): assert word in translated_text def test_remove_linebreaks(accepted): test_obj = tt.TextDetector({}, accept_privacy=accepted) test_obj.subdict["text"] = "This is \n a test." test_obj.subdict["text_english"] = "This is \n another\n test." test_obj.remove_linebreaks() assert test_obj.subdict["text"] == "This is a test." assert test_obj.subdict["text_english"] == "This is another test." def test_init_csv_option(get_path): test_obj = tt.TextAnalyzer(csv_path=get_path + "test.csv") assert test_obj.csv_path == get_path + "test.csv" assert test_obj.column_key == "text" assert test_obj.csv_encoding == "utf-8" test_obj = tt.TextAnalyzer( csv_path=get_path + "test.csv", column_key="mytext", csv_encoding="utf-16" ) assert test_obj.column_key == "mytext" assert test_obj.csv_encoding == "utf-16" with pytest.raises(ValueError): tt.TextAnalyzer(csv_path=1.0) with pytest.raises(ValueError): tt.TextAnalyzer(csv_path="something") with pytest.raises(FileNotFoundError): tt.TextAnalyzer(csv_path=get_path + "test_no.csv") with pytest.raises(ValueError): tt.TextAnalyzer(csv_path=get_path + "test.csv", column_key=1.0) with pytest.raises(ValueError): tt.TextAnalyzer(csv_path=get_path + "test.csv", csv_encoding=1.0) @pytest.mark.skipif(sys.platform == "win32", reason="Encoding different on Window") def test_read_csv(get_path): test_obj = tt.TextAnalyzer(csv_path=get_path + "test.csv") test_obj.read_csv() with open(get_path + "test_read_csv_ref.json", "r") as file: ref_dict = json.load(file) # we are assuming the order did not get jungled up for (_, value_test), (_, value_ref) in zip( test_obj.mydict.items(), ref_dict.items() ): assert value_test["text"] == value_ref["text"] # test with different encoding test_obj = tt.TextAnalyzer( csv_path=get_path + "test-utf16.csv", csv_encoding="utf-16" ) test_obj.read_csv() # we are assuming the order did not get jungled up for (_, value_test), (_, value_ref) in zip( test_obj.mydict.items(), ref_dict.items() ): assert value_test["text"] == value_ref["text"]