tests

Signed-off-by: Matteo Omenetti <omenetti.matteo@gmail.com>

tests/test_document_picture_classifier.py

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+from pathlib import Path
+
+from docling_core.types.doc import PictureClassificationData
+
+from docling.backend.docling_parse_v2_backend import DoclingParseV2DocumentBackend
+from docling.datamodel.base_models import InputFormat
+from docling.datamodel.document import ConversionResult
+from docling.datamodel.pipeline_options import PdfPipelineOptions
+from docling.document_converter import DocumentConverter, PdfFormatOption
+from docling.pipeline.standard_pdf_pipeline import StandardPdfPipeline
+
+
+def get_converter():
+
+    pipeline_options = PdfPipelineOptions()
+    pipeline_options.generate_page_images = True
+
+    pipeline_options.do_ocr = False
+    pipeline_options.do_table_structure = False
+    pipeline_options.do_code_enrichment = False
+    pipeline_options.do_formula_enrichment = False
+    pipeline_options.do_picture_classification = True
+    pipeline_options.generate_picture_images = True
+    pipeline_options.images_scale = 2
+
+    converter = DocumentConverter(
+        format_options={
+            InputFormat.PDF: PdfFormatOption(
+                backend=DoclingParseV2DocumentBackend,
+                pipeline_cls=StandardPdfPipeline,
+                pipeline_options=pipeline_options,
+            )
+        }
+    )
+
+    return converter
+
+
+def test_picture_classifier():
+    pdf_path = Path("tests/data/picture_classification.pdf")
+    converter = get_converter()
+
+    print(f"converting {pdf_path}")
+
+    doc_result: ConversionResult = converter.convert(pdf_path)
+
+    results = doc_result.document.pictures
+
+    assert len(results) == 2
+
+    res = results[0]
+    assert len(res.annotations) == 1
+    assert type(res.annotations[0]) == PictureClassificationData
+    classification_data = res.annotations[0]
+    assert classification_data.provenance == "DocumentPictureClassifier"
+    assert (
+        len(classification_data.predicted_classes) == 16
+    ), "Number of predicted classes is not equal to 16"
+    confidences = [pred.confidence for pred in classification_data.predicted_classes]
+    assert confidences == sorted(
+        confidences, reverse=True
+    ), "Predictions are not sorted in descending order of confidence"
+    assert (
+        classification_data.predicted_classes[0].class_name == "bar_chart"
+    ), "The prediction is wrong for the bar chart image."
+
+    res = results[1]
+    assert len(res.annotations) == 1
+    assert type(res.annotations[0]) == PictureClassificationData
+    classification_data = res.annotations[0]
+    assert classification_data.provenance == "DocumentPictureClassifier"
+    assert (
+        len(classification_data.predicted_classes) == 16
+    ), "Number of predicted classes is not equal to 16"
+    confidences = [pred.confidence for pred in classification_data.predicted_classes]
+    assert confidences == sorted(
+        confidences, reverse=True
+    ), "Predictions are not sorted in descending order of confidence"
+    assert (
+        classification_data.predicted_classes[0].class_name == "map"
+    ), "The prediction is wrong for the bar chart image."