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00d9405b0a
* feat: Implement csv backend and format detection Signed-off-by: Tobias Strebitzer <tobias.strebitzer@magloft.com> * test: Implement csv parsing and format tests Signed-off-by: Tobias Strebitzer <tobias.strebitzer@magloft.com> * docs: Add example and CSV format documentation Signed-off-by: Tobias Strebitzer <tobias.strebitzer@magloft.com> * feat: Add support for various CSV dialects and update documentation Signed-off-by: Tobias Strebitzer <tobias.strebitzer@magloft.com> * feat: Add validation for delimiters and tests for inconsistent csv files Signed-off-by: Tobias Strebitzer <tobias.strebitzer@magloft.com> --------- Signed-off-by: Tobias Strebitzer <tobias.strebitzer@magloft.com>
96 lines
2.7 KiB
Python
96 lines
2.7 KiB
Python
import json
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import os
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from pathlib import Path
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from pytest import warns
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from docling.datamodel.base_models import InputFormat
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from docling.datamodel.document import ConversionResult, DoclingDocument
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from docling.document_converter import DocumentConverter
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GENERATE = True
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def get_csv_paths():
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# Define the directory you want to search
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directory = Path(f"./tests/data/csv/")
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# List all CSV files in the directory and its subdirectories
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return sorted(directory.rglob("*.csv"))
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def get_csv_path(name: str):
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# Return the matching CSV file path
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return Path(f"./tests/data/csv/{name}.csv")
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def get_converter():
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converter = DocumentConverter(allowed_formats=[InputFormat.CSV])
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return converter
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def verify_export(pred_text: str, gtfile: str):
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if not os.path.exists(gtfile) or GENERATE:
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with open(gtfile, "w") as fw:
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fw.write(pred_text)
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return True
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else:
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with open(gtfile, "r") as fr:
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true_text = fr.read()
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assert pred_text == true_text, "pred_itxt==true_itxt"
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return pred_text == true_text
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def test_e2e_valid_csv_conversions():
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valid_csv_paths = get_csv_paths()
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converter = get_converter()
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for csv_path in valid_csv_paths:
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print(f"converting {csv_path}")
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gt_path = csv_path.parent.parent / "groundtruth" / "docling_v2" / csv_path.name
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conv_result: ConversionResult = converter.convert(csv_path)
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doc: DoclingDocument = conv_result.document
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pred_md: str = doc.export_to_markdown()
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assert verify_export(pred_md, str(gt_path) + ".md"), "export to md"
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pred_itxt: str = doc._export_to_indented_text(
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max_text_len=70, explicit_tables=False
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)
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assert verify_export(
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pred_itxt, str(gt_path) + ".itxt"
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), "export to indented-text"
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pred_json: str = json.dumps(doc.export_to_dict(), indent=2)
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assert verify_export(pred_json, str(gt_path) + ".json"), "export to json"
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def test_e2e_invalid_csv_conversions():
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csv_too_few_columns = get_csv_path("csv-too-few-columns")
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csv_too_many_columns = get_csv_path("csv-too-many-columns")
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csv_inconsistent_header = get_csv_path("csv-inconsistent-header")
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converter = get_converter()
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print(f"converting {csv_too_few_columns}")
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with warns(UserWarning, match="Inconsistent column lengths"):
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converter.convert(csv_too_few_columns)
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print(f"converting {csv_too_many_columns}")
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with warns(UserWarning, match="Inconsistent column lengths"):
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converter.convert(csv_too_many_columns)
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print(f"converting {csv_inconsistent_header}")
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with warns(UserWarning, match="Inconsistent column lengths"):
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converter.convert(csv_inconsistent_header)
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