docling/tests/test_backend_csv.py

96 lines
2.7 KiB
Python
Raw Normal View History

import json
import os
from pathlib import Path
from pytest import warns
from docling.datamodel.base_models import InputFormat
from docling.datamodel.document import ConversionResult, DoclingDocument
from docling.document_converter import DocumentConverter
GENERATE = False
def get_csv_paths():
# Define the directory you want to search
directory = Path(f"./tests/data/csv/")
# List all CSV files in the directory and its subdirectories
return sorted(directory.rglob("*.csv"))
def get_csv_path(name: str):
# Return the matching CSV file path
return Path(f"./tests/data/csv/{name}.csv")
def get_converter():
converter = DocumentConverter(allowed_formats=[InputFormat.CSV])
return converter
def verify_export(pred_text: str, gtfile: str):
if not os.path.exists(gtfile) or GENERATE:
with open(gtfile, "w") as fw:
fw.write(pred_text)
return True
else:
with open(gtfile, "r") as fr:
true_text = fr.read()
assert pred_text == true_text, "pred_itxt==true_itxt"
return pred_text == true_text
def test_e2e_valid_csv_conversions():
valid_csv_paths = get_csv_paths()
converter = get_converter()
for csv_path in valid_csv_paths:
print(f"converting {csv_path}")
gt_path = csv_path.parent.parent / "groundtruth" / "docling_v2" / csv_path.name
conv_result: ConversionResult = converter.convert(csv_path)
doc: DoclingDocument = conv_result.document
pred_md: str = doc.export_to_markdown()
assert verify_export(pred_md, str(gt_path) + ".md"), "export to md"
pred_itxt: str = doc._export_to_indented_text(
max_text_len=70, explicit_tables=False
)
assert verify_export(
pred_itxt, str(gt_path) + ".itxt"
), "export to indented-text"
pred_json: str = json.dumps(doc.export_to_dict(), indent=2)
assert verify_export(pred_json, str(gt_path) + ".json"), "export to json"
def test_e2e_invalid_csv_conversions():
csv_too_few_columns = get_csv_path("csv-too-few-columns")
csv_too_many_columns = get_csv_path("csv-too-many-columns")
csv_inconsistent_header = get_csv_path("csv-inconsistent-header")
converter = get_converter()
print(f"converting {csv_too_few_columns}")
with warns(UserWarning, match="Inconsistent column lengths"):
converter.convert(csv_too_few_columns)
print(f"converting {csv_too_many_columns}")
with warns(UserWarning, match="Inconsistent column lengths"):
converter.convert(csv_too_many_columns)
print(f"converting {csv_inconsistent_header}")
with warns(UserWarning, match="Inconsistent column lengths"):
converter.convert(csv_inconsistent_header)