testing index and probability label format in classifier prediction test

image_prediction/exceptions.py

@@ -14,6 +14,10 @@ class UnknownDatabaseType(ValueError):
     pass
 
 
+class UnknownLabelFormat(ValueError):
+    pass
+
+
 class UnexpectedLabelFormat(ValueError):
     pass
 

test/unit_tests/classifier_test.py

@@ -9,9 +9,10 @@ logger.setLevel(logging.DEBUG)
 
 
 @pytest.mark.parametrize("estimator_type", ["mock", "keras"])
-def test_predict(classifier, input_batch, batch_of_expected_string_labels):
+@pytest.mark.parametrize("label_format", ["index", "probability"])
+def test_predict(classifier, input_batch, expected_predictions_mapped):
     predictions = classifier.predict(input_batch)
-    assert predictions == batch_of_expected_string_labels
+    assert predictions == expected_predictions_mapped
 
 
 def test_batch_format(input_batch):

test/unit_tests/conftest.py

@@ -13,12 +13,14 @@ from image_prediction.classifier.classifier import Classifier
 from image_prediction.classifier.image_classifier import ImageClassifier
 from image_prediction.estimator.adapter.adapter import EstimatorAdapter
 from image_prediction.estimator.preprocessor.preprocessors.basic import BasicPreprocessor
-from image_prediction.exceptions import UnknownEstimatorAdapter, UnknownImageExtractor, UnknownDatabaseType
+from image_prediction.exceptions import UnknownEstimatorAdapter, UnknownImageExtractor, UnknownDatabaseType, \
+    UnknownLabelFormat
 from image_prediction.image_extractor.extractor import ImageMetadataPair
 from image_prediction.image_extractor.extractors.mock import ImageExtractorMock
 from image_prediction.image_extractor.extractors.parsable import ParsablePDFImageExtractor
 from image_prediction.info import Info
 from image_prediction.label_mapper.mappers.numeric import IndexMapper
+from image_prediction.label_mapper.mappers.probability import ProbabilityMapper
 from image_prediction.model_loader.database.connectors.mock import DatabaseConnectorMock
 from image_prediction.model_loader.loader import ModelLoader
 from image_prediction.model_loader.loaders.mlflow import MlflowConnector
@@ -57,9 +59,43 @@ class EstimatorMock:
         return self.predict(batch)
 
 
-@pytest.fixture()
-def label_mapper(classes):
-    return IndexMapper(classes)
+@pytest.fixture
+def label_mapper(label_format, classes):
+    if label_format == "index":
+        return IndexMapper(classes)
+    elif label_format == "probability":
+        return ProbabilityMapper(classes)
+    else:
+        raise UnknownLabelFormat(f"No label mapper for label format {label_format} was specified.")
+
+
+@pytest.fixture(params=["index"])
+def label_format(request):
+    return request.param
+
+
+@pytest.fixture
+def expected_predictions_mapped(
+        label_format, batch_of_expected_string_labels, batch_of_expected_label_to_probability_mappings
+):
+    if label_format == "index":
+        return batch_of_expected_string_labels
+    elif label_format == "probability":
+        return batch_of_expected_label_to_probability_mappings
+    else:
+        raise UnknownLabelFormat(f"No label mapper for label format {label_format} was specified.")
+
+
+@pytest.fixture
+def expected_predictions(
+        label_format, batch_of_expected_numeric_labels, batch_of_expected_probability_arrays
+):
+    if label_format == "index":
+        return batch_of_expected_numeric_labels
+    elif label_format == "probability":
+        return batch_of_expected_probability_arrays
+    else:
+        raise UnknownLabelFormat(f"No label mapper for label format {label_format} was specified.")
 
 
 @pytest.fixture
@@ -161,8 +197,8 @@ def batch_of_expected_probability_arrays(batch_size, classes):
 
 
 @pytest.fixture
-def output_batch_generator(batch_of_expected_numeric_labels):
-    return iter(batch_of_expected_numeric_labels)
+def output_batch_generator(expected_predictions):
+    return iter(expected_predictions)
 
 
 @pytest.fixture