From e31758a27c57fd9f27569e0e409f335308c27c9f Mon Sep 17 00:00:00 2001 From: Maksym Lysak Date: Tue, 15 Apr 2025 09:00:21 +0200 Subject: [PATCH 1/5] Add chart tabular data serialization to HTML serializer Signed-off-by: Maksym Lysak --- docling_core/experimental/serializer/html.py | 21 ++++++++++++++++++++ docling_core/types/doc/document.py | 2 ++ 2 files changed, 23 insertions(+) diff --git a/docling_core/experimental/serializer/html.py b/docling_core/experimental/serializer/html.py index 5302325a..c5e35f95 100644 --- a/docling_core/experimental/serializer/html.py +++ b/docling_core/experimental/serializer/html.py @@ -63,6 +63,7 @@ TextItem, TitleItem, UnorderedList, + PictureTabularChartData, ) from docling_core.types.doc.labels import DocItemLabel from docling_core.types.doc.utils import ( @@ -104,6 +105,9 @@ class HTMLParams(CommonParams): # Allow for different output styles output_style: HTMLOutputStyle = HTMLOutputStyle.SINGLE_COLUMN + # Enable charts to be printed into HTML as tables + enable_chart_tables: bool = True + class HTMLTextSerializer(BaseModel, BaseTextSerializer): """HTML-specific text item serializer.""" @@ -402,6 +406,23 @@ def serialize( and item.image.uri.scheme == "data" ): img_text = f'' + + if params.enable_chart_tables: + # Check if picture has attached PictureTabularChartData + tabular_chart_annotations = [ + ann + for ann in item.annotations + if isinstance(ann, PictureTabularChartData) + ] + if len(tabular_chart_annotations) > 0: + temp_doc = DoclingDocument(name="temp") + temp_table = temp_doc.add_table( + data=tabular_chart_annotations[0].chart_data + ) + html_table_content = temp_table.export_to_html(temp_doc) + if len(html_table_content) > 0: + res_parts.append(html_table_content) + if img_text: res_parts.append(create_ser_result(text=img_text, span_source=item)) diff --git a/docling_core/types/doc/document.py b/docling_core/types/doc/document.py index 1696af31..e288d4f6 100644 --- a/docling_core/types/doc/document.py +++ b/docling_core/types/doc/document.py @@ -3143,6 +3143,7 @@ def export_to_html( # noqa: C901 from_element: int = 0, to_element: int = sys.maxsize, labels: Optional[set[DocItemLabel]] = None, + enable_chart_tables: bool = True, image_mode: ImageRefMode = ImageRefMode.PLACEHOLDER, formula_to_mathml: bool = True, page_no: Optional[int] = None, @@ -3176,6 +3177,7 @@ def export_to_html( # noqa: C901 start_idx=from_element, stop_idx=to_element, image_mode=image_mode, + enable_chart_tables=enable_chart_tables, formula_to_mathml=formula_to_mathml, html_head=html_head, html_lang=html_lang, From 7646a9d8a5f665ab452904b01fa3ca51c038dfcd Mon Sep 17 00:00:00 2001 From: Maksym Lysak Date: Tue, 15 Apr 2025 09:08:36 +0200 Subject: [PATCH 2/5] Fixing pre-commit issues Signed-off-by: Maksym Lysak --- docling_core/experimental/serializer/html.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docling_core/experimental/serializer/html.py b/docling_core/experimental/serializer/html.py index c5e35f95..48cf584c 100644 --- a/docling_core/experimental/serializer/html.py +++ b/docling_core/experimental/serializer/html.py @@ -57,13 +57,13 @@ NodeItem, OrderedList, PictureItem, + PictureTabularChartData, SectionHeaderItem, TableCell, TableItem, TextItem, TitleItem, UnorderedList, - PictureTabularChartData, ) from docling_core.types.doc.labels import DocItemLabel from docling_core.types.doc.utils import ( From 038ff36ee5b7d5dbea534b8d9d2a9377cc4e5563 Mon Sep 17 00:00:00 2001 From: Maksym Lysak Date: Tue, 15 Apr 2025 09:15:02 +0200 Subject: [PATCH 3/5] Fixed table serialization for tabular chart data Signed-off-by: Maksym Lysak --- docling_core/experimental/serializer/html.py | 10 ++++++---- 1 file changed, 6 insertions(+), 4 deletions(-) diff --git a/docling_core/experimental/serializer/html.py b/docling_core/experimental/serializer/html.py index 48cf584c..7604fc1c 100644 --- a/docling_core/experimental/serializer/html.py +++ b/docling_core/experimental/serializer/html.py @@ -407,6 +407,9 @@ def serialize( ): img_text = f'' + if img_text: + res_parts.append(create_ser_result(text=img_text, span_source=item)) + if params.enable_chart_tables: # Check if picture has attached PictureTabularChartData tabular_chart_annotations = [ @@ -421,10 +424,9 @@ def serialize( ) html_table_content = temp_table.export_to_html(temp_doc) if len(html_table_content) > 0: - res_parts.append(html_table_content) - - if img_text: - res_parts.append(create_ser_result(text=img_text, span_source=item)) + res_parts.append( + create_ser_result(text=html_table_content, span_source=item) + ) text_res = "".join([r.text for r in res_parts]) if text_res: From 84e53968f992e34896923038b8a3532d5895b983 Mon Sep 17 00:00:00 2001 From: Maksym Lysak Date: Tue, 15 Apr 2025 10:49:29 +0200 Subject: [PATCH 4/5] test for loading doctags with chart data Signed-off-by: Maksym Lysak --- test/data/doc/barchart.dt | 3 +++ test/data/doc/barchart.png | Bin 0 -> 122456 bytes test/test_doctags_load.py | 17 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z>oB0-Ku@jnIM9pTL{0B?H&AnM3z$+5TfT z4%954XN6}ajsq>Df48Wdx&Z5x)|k)s;=h*tX$XTMK>p$(Mc!BGKVI(*tt?8B3rv3fguraTZP#IQn}y&VLv@nefxX z(EgB{CVy%?-B3U%AnbN~RDV7)*=dDy7O{Nozt{iyUE%52#9^(jHI_dgnfA0DjNHWt z=RYgw|F5s?qeA#q^6@_l^fT#CDV*{gRll_^KHZaUA@Im#+}A39;<0~pH-HX=fts4a z2<=Bd`(6CUa~A?VUa9|gF#kK4KPC2m5`zyKs%x7BMX{Eg0sbi8*H9>vvkdt^GQmC2 literal 0 HcmV?d00001 diff --git a/test/test_doctags_load.py b/test/test_doctags_load.py index ebbc0e3b..1c0a0f21 100644 --- a/test/test_doctags_load.py +++ b/test/test_doctags_load.py @@ -4,6 +4,7 @@ from docling_core.types.doc import DoclingDocument from docling_core.types.doc.document import DocTagsDocument +from docling_core.types.doc.document import PictureTabularChartData def test_doctags_load_from_files(): @@ -55,6 +56,22 @@ def test_multipage_doctags_load(): # print(doc.export_to_html()) +def test_doctags_chart(): + doc = DoclingDocument(name="Document") + doctags_doc = DocTagsDocument.from_doctags_and_image_pairs( + [Path("test/data/doc/barchart.dt")], + [Path("test/data/doc/barchart.png")], + ) + doc.load_from_doctags(doctags_doc) + for pic in doc.pictures: + tabular_chart_annotations = [ + ann + for ann in pic.annotations + if isinstance(ann, PictureTabularChartData) + ] + assert len(tabular_chart_annotations) > 0 + + def test_doctags_table_provenances_and_captions(): doc = DoclingDocument(name="Document") doctags_doc = DocTagsDocument.from_doctags_and_image_pairs( From 2d2e69cac051655e86b5ecf1bbe02a8b4cdf1fac Mon Sep 17 00:00:00 2001 From: Maksym Lysak Date: Tue, 15 Apr 2025 13:04:57 +0200 Subject: [PATCH 5/5] Improved loading doctags test with chart example, added tests for chart serialization into html and md Signed-off-by: Maksym Lysak --- test/data/doc/barchart.gt.html | 130 +++++++++++++++++++++++++++++++++ test/data/doc/barchart.gt.md | 10 +++ test/data/doc/barchart.json | 1 + test/test_doctags_load.py | 7 +- test/test_serialization.py | 28 +++++++ 5 files changed, 171 insertions(+), 5 deletions(-) create mode 100644 test/data/doc/barchart.gt.html create mode 100644 test/data/doc/barchart.gt.md create mode 100644 test/data/doc/barchart.json diff --git a/test/data/doc/barchart.gt.html b/test/data/doc/barchart.gt.html new file mode 100644 index 00000000..ff578843 --- /dev/null +++ b/test/data/doc/barchart.gt.html @@ -0,0 +1,130 @@ + + + + +Document + + + + +
+
Number of impellerssingle-frequencymulti-frequency
10.060.16
20.120.26
30.160.27
40.140.26
50.160.25
60.240.24
+
+ + \ No newline at end of file diff --git a/test/data/doc/barchart.gt.md b/test/data/doc/barchart.gt.md new file mode 100644 index 00000000..18c87c88 --- /dev/null +++ b/test/data/doc/barchart.gt.md @@ -0,0 +1,10 @@ + + +| Number of impellers | single-frequency | multi-frequency | +|-----------------------|--------------------|-------------------| +| 1 | 0.06 | 0.16 | +| 2 | 0.12 | 0.26 | +| 3 | 0.16 | 0.27 | +| 4 | 0.14 | 0.26 | +| 5 | 0.16 | 0.25 | +| 6 | 0.24 | 0.24 | \ No newline at end of file diff --git a/test/data/doc/barchart.json b/test/data/doc/barchart.json new file mode 100644 index 00000000..c23416da --- /dev/null +++ b/test/data/doc/barchart.json @@ -0,0 +1 @@ +{"schema_name": "DoclingDocument", "version": "1.3.0", "name": "Document", "furniture": {"self_ref": "#/furniture", "children": [], "content_layer": "furniture", "name": "_root_", "label": "unspecified"}, "body": {"self_ref": "#/body", "children": [{"$ref": "#/texts/0"}, {"$ref": "#/pictures/0"}], "content_layer": "body", "name": "_root_", "label": "unspecified"}, "groups": [], "texts": [{"self_ref": "#/texts/0", "parent": {"$ref": "#/body"}, "children": [], "content_layer": "furniture", "label": "page_header", "prov": [{"page_no": 1, "bbox": {"l": 150.80399999999997, "t": 42.980000000000004, "r": 460.908, "b": 61.4, "coord_origin": "TOPLEFT"}, "charspan": [0, 38]}], "orig": "Probability, Combinatorics and Control", "text": "Probability, Combinatorics and Control"}], "pictures": [{"self_ref": "#/pictures/0", "parent": {"$ref": "#/body"}, "children": [], "content_layer": "body", "label": "picture", "prov": [{"page_no": 1, "bbox": {"l": 216.648, "t": 113.58999999999999, "r": 832.6080000000001, "b": 454.35999999999996, "coord_origin": "TOPLEFT"}, "charspan": [0, 0]}], "captions": [], "references": [], "footnotes": [], "image": {"mimetype": "image/png", "dpi": 72, "size": {"width": 616.0, "height": 341.0}, "uri": 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"}, "annotations": [{"kind": "classification", "provenance": "load_from_doctags", "predicted_classes": [{"class_name": "bar_chart", "confidence": 1.0}]}, {"title": "bar_chart", "kind": "tabular_chart_data", "chart_data": {"table_cells": [{"row_span": 1, "col_span": 1, "start_row_offset_idx": 0, "end_row_offset_idx": 1, "start_col_offset_idx": 0, "end_col_offset_idx": 1, "text": "Number of impellers", "column_header": false, "row_header": false, "row_section": false}, {"row_span": 1, "col_span": 1, "start_row_offset_idx": 0, "end_row_offset_idx": 1, "start_col_offset_idx": 1, "end_col_offset_idx": 2, "text": "single-frequency", "column_header": false, "row_header": false, "row_section": false}, {"row_span": 1, "col_span": 1, "start_row_offset_idx": 0, "end_row_offset_idx": 1, "start_col_offset_idx": 2, "end_col_offset_idx": 3, "text": "multi-frequency", "column_header": false, "row_header": false, "row_section": false}, {"row_span": 1, "col_span": 1, "start_row_offset_idx": 1, 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"page_no": 1}}} \ No newline at end of file diff --git a/test/test_doctags_load.py b/test/test_doctags_load.py index 1c0a0f21..07cb04d3 100644 --- a/test/test_doctags_load.py +++ b/test/test_doctags_load.py @@ -3,8 +3,7 @@ from PIL import Image as PILImage from docling_core.types.doc import DoclingDocument -from docling_core.types.doc.document import DocTagsDocument -from docling_core.types.doc.document import PictureTabularChartData +from docling_core.types.doc.document import DocTagsDocument, PictureTabularChartData def test_doctags_load_from_files(): @@ -65,9 +64,7 @@ def test_doctags_chart(): doc.load_from_doctags(doctags_doc) for pic in doc.pictures: tabular_chart_annotations = [ - ann - for ann in pic.annotations - if isinstance(ann, PictureTabularChartData) + ann for ann in pic.annotations if isinstance(ann, PictureTabularChartData) ] assert len(tabular_chart_annotations) > 0 diff --git a/test/test_serialization.py b/test/test_serialization.py index 1ab4cae2..5e82f610 100644 --- a/test/test_serialization.py +++ b/test/test_serialization.py @@ -64,6 +64,34 @@ def test_md_cross_page_list_page_break_p2(): verify(exp_file=src.parent / f"{src.stem}_p2.gt.md", actual=actual) +def test_html_charts(): + src = Path("./test/data/doc/barchart.json") + doc = DoclingDocument.load_from_json(src) + + ser = HTMLDocSerializer( + doc=doc, + params=HTMLParams( + image_mode=ImageRefMode.PLACEHOLDER, + ), + ) + actual = ser.serialize().text + verify(exp_file=src.parent / f"{src.stem}.gt.html", actual=actual) + + +def test_md_charts(): + src = Path("./test/data/doc/barchart.json") + doc = DoclingDocument.load_from_json(src) + + ser = MarkdownDocSerializer( + doc=doc, + params=MarkdownParams( + image_mode=ImageRefMode.PLACEHOLDER, + ), + ) + actual = ser.serialize().text + verify(exp_file=src.parent / f"{src.stem}.gt.md", actual=actual) + + def test_html_cross_page_list_page_break(): src = Path("./test/data/doc/activities.json") doc = DoclingDocument.load_from_json(src)