haystack/test/test_file_converter.py

109 lines
4.3 KiB
Python
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2020-06-08 11:07:19 +02:00
from pathlib import Path
import os
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import pytest
from haystack.nodes import MarkdownConverter, DocxToTextConverter, PDFToTextConverter, PDFToTextOCRConverter, \
TikaConverter, AzureConverter, ParsrConverter
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from conftest import SAMPLES_PATH
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[RAG] Integrate "Retrieval-Augmented Generation" with Haystack (#484) * Adding dummy generator implementation * Adding tutorial to try the model * Committing current non working code * Committing current update where we need to call generate function directly and need to convert embedding to tensor way * Addressing review comments. * Refactoring finder, and implementing rag_generator class. * Refined the implementation of RAGGenerator and now it is in clean shape * Renaming RAGGenerator to RAGenerator * Reverting change from finder.py and addressing review comments * Remove support for RagSequenceForGeneration * Utilizing embed_passage function from DensePassageRetriever * Adding sample test data to verify generator output * Updating testing script * Updating testing script * Fixing bug related to top_k * Updating latest farm dependency * Comment out farm dependency * Reverting changes from TransformersReader * Adding transformers dataset to compare transformers and haystack generator implementation * Using generator_encoder instead of question_encoder to generate context_input_ids * Adding workaround to install FARM dependency from master branch * Removing unnecessary changes * Fixing generator test * Removing transformers datasets * Fixing generator test * Some cleanup and updating TODO comments * Adding tutorial notebook * Updating tutorials with comments * Explicitly passing token model in RAG test * Addressing review comments * Fixing notebook * Refactoring tests to reduce memory footprint * Split generator tests in separate ci step and before running it reclaim memory by terminating containers * Moving tika dependent test to separate dir * Remove unwanted code * Brining reader under session scope * Farm is now session object hence restoring changes from default value * Updating assert for pdf converter * Dummy commit to trigger CI flow * REducing memory footprint required for generator tests * Fixing mypy issues * Marking test with tika and elasticsearch markers. Reverting changes in CI and pytest splits * reducing changes * Fixing CI * changing elastic search ci * Fixing test error * Disabling return of embedding * Marking generator test as well * Refactoring tutorials * Increasing ES memory to 750M * Trying another fix for ES CI * Reverting CI changes * Splitting tests in CI * Generator and non-generator markers split * Adding pytest.ini to add markers and enable strict-markers option * Reducing elastic search container memory * Simplifying generator test by using documents with embedding directly * Bump up farm to 0.5.0
2020-10-30 18:06:02 +01:00
@pytest.mark.tika
@pytest.mark.parametrize(
Redesign primitives - `Document`, `Answer`, `Label` (#1398) * first draft / notes on new primitives * wip label / feedback refactor * rename doc.text -> doc.content. add doc.content_type * add datatype for content * remove faq_question_field from ES and weaviate. rename text_field -> content_field in docstores. update tutorials for content field * update converters for . Add warning for empty * renam label.question -> label.query. Allow sorting of Answers. * WIP primitives * update ui/reader for new Answer format * Improve Label. First refactoring of MultiLabel. Adjust eval code * fixed workflow conflict with introducing new one (#1472) * Add latest docstring and tutorial changes * make add_eval_data() work again * fix reader formats. WIP fix _extract_docs_and_labels_from_dict * fix test reader * Add latest docstring and tutorial changes * fix another test case for reader * fix mypy in farm reader.eval() * fix mypy in farm reader.eval() * WIP ORM refactor * Add latest docstring and tutorial changes * fix mypy weaviate * make label and multilabel dataclasses * bump mypy env in CI to python 3.8 * WIP refactor Label ORM * WIP refactor Label ORM * simplify tests for individual doc stores * WIP refactoring markers of tests * test alternative approach for tests with existing parametrization * WIP refactor ORMs * fix skip logic of already parametrized tests * fix weaviate behaviour in tests - not parametrizing it in our general test cases. * Add latest docstring and tutorial changes * fix some tests * remove sql from document_store_types * fix markers for generator and pipeline test * remove inmemory marker * remove unneeded elasticsearch markers * add dataclasses-json dependency. adjust ORM to just store JSON repr * ignore type as dataclasses_json seems to miss functionality here * update readme and contributing.md * update contributing * adjust example * fix duplicate doc handling for custom index * Add latest docstring and tutorial changes * fix some ORM issues. fix get_all_labels_aggregated. * update drop flags where get_all_labels_aggregated() was used before * Add latest docstring and tutorial changes * add to_json(). add + fix tests * fix no_answer handling in label / multilabel * fix duplicate docs in memory doc store. change primary key for sql doc table * fix mypy issues * fix mypy issues * haystack/retriever/base.py * fix test_write_document_meta[elastic] * fix test_elasticsearch_custom_fields * fix test_labels[elastic] * fix crawler * fix converter * fix docx converter * fix preprocessor * fix test_utils * fix tfidf retriever. fix selection of docstore in tests with multiple fixtures / parameterizations * Add latest docstring and tutorial changes * fix crawler test. fix ocrconverter attribute * fix test_elasticsearch_custom_query * fix generator pipeline * fix ocr converter * fix ragenerator * Add latest docstring and tutorial changes * fix test_load_and_save_yaml for elasticsearch * fixes for pipeline tests * fix faq pipeline * fix pipeline tests * Add latest docstring and tutorial changes * fix weaviate * Add latest docstring and tutorial changes * trigger CI * satisfy mypy * Add latest docstring and tutorial changes * satisfy mypy * Add latest docstring and tutorial changes * trigger CI * fix question generation test * fix ray. fix Q-generation * fix translator test * satisfy mypy * wip refactor feedback rest api * fix rest api feedback endpoint * fix doc classifier * remove relation of Labels -> Docs in SQL ORM * fix faiss/milvus tests * fix doc classifier test * fix eval test * fixing eval issues * Add latest docstring and tutorial changes * fix mypy * WIP replace dataclasses-json with manual serialization * Add latest docstring and tutorial changes * revert to dataclass-json serialization for now. remove debug prints. * update docstrings * fix extractor. fix Answer Span init * fix api test * keep meta data of answers in reader.run() * fix meta handling * adress review feedback * Add latest docstring and tutorial changes * make document=None for open domain labels * add import * fix print utils * fix rest api * adress review feedback * Add latest docstring and tutorial changes * fix mypy Co-authored-by: Markus Paff <markuspaff.mp@gmail.com> Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
2021-10-13 14:23:23 +02:00
# "Converter", [PDFToTextConverter, TikaConverter, PDFToTextOCRConverter]
"Converter", [PDFToTextOCRConverter]
)
Add CI for windows runner (#1458) * Feat: Removing use of temp file while downloading archive from url along with adding CI for windows and mac platform * Windows CI by default installing pytorch gpu hence updating CI to pick cpu version * fixing mac cache build issue * updating windows pip install command for torch * another attempt * updating ci * Adding sudo * fixing ls failure on windows * another attempt to fix build issue * Saving env variable of test files * Adding debug log * Github action differ on windows * adding debug * anohter attempt * Windows have different ways to receive env * fixing template * minor fx * Adding debug * Removing use of json * Adding back fromJson * addin toJson * removing print * anohter attempt * disabling parallel run at least for testing * installing docker for mac runner * correcting docker install command * Linux dockers are not suported in windows * Removing mac changes * Upgrading pytorch * using lts pytorch * Separating win and ubuntu * Install java 11 * enabling linux container env * docker cli command * docker cli command * start elastic service * List all service * correcting service name * Attempt to fix multiple test run * convert to json * another attempt to check * Updating build cache step * attempt * Add tika * Separating windows CI * Changing CI name * Skipping test which does not work in windows * Skipping tests for windows * create cleanup function in conftest * adding skipif marker on tests * Run windows PR on only push to master * Addressing review comments * Enabling windows ci for this PR * Tika init is being called when importing tika function * handling tika import issue * handling tika import issue in test * Fixing import issue * removing tika fixure * Removing fixture from tests * Disable windows ci on pull request * Add back extra pytorch install step Co-authored-by: Malte Pietsch <malte.pietsch@deepset.ai>
2021-10-29 13:52:28 +05:30
def test_convert(Converter):
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converter = Converter()
document = converter.convert(file_path=SAMPLES_PATH/"pdf"/"sample_pdf_1.pdf")[0]
Redesign primitives - `Document`, `Answer`, `Label` (#1398) * first draft / notes on new primitives * wip label / feedback refactor * rename doc.text -> doc.content. add doc.content_type * add datatype for content * remove faq_question_field from ES and weaviate. rename text_field -> content_field in docstores. update tutorials for content field * update converters for . Add warning for empty * renam label.question -> label.query. Allow sorting of Answers. * WIP primitives * update ui/reader for new Answer format * Improve Label. First refactoring of MultiLabel. Adjust eval code * fixed workflow conflict with introducing new one (#1472) * Add latest docstring and tutorial changes * make add_eval_data() work again * fix reader formats. WIP fix _extract_docs_and_labels_from_dict * fix test reader * Add latest docstring and tutorial changes * fix another test case for reader * fix mypy in farm reader.eval() * fix mypy in farm reader.eval() * WIP ORM refactor * Add latest docstring and tutorial changes * fix mypy weaviate * make label and multilabel dataclasses * bump mypy env in CI to python 3.8 * WIP refactor Label ORM * WIP refactor Label ORM * simplify tests for individual doc stores * WIP refactoring markers of tests * test alternative approach for tests with existing parametrization * WIP refactor ORMs * fix skip logic of already parametrized tests * fix weaviate behaviour in tests - not parametrizing it in our general test cases. * Add latest docstring and tutorial changes * fix some tests * remove sql from document_store_types * fix markers for generator and pipeline test * remove inmemory marker * remove unneeded elasticsearch markers * add dataclasses-json dependency. adjust ORM to just store JSON repr * ignore type as dataclasses_json seems to miss functionality here * update readme and contributing.md * update contributing * adjust example * fix duplicate doc handling for custom index * Add latest docstring and tutorial changes * fix some ORM issues. fix get_all_labels_aggregated. * update drop flags where get_all_labels_aggregated() was used before * Add latest docstring and tutorial changes * add to_json(). add + fix tests * fix no_answer handling in label / multilabel * fix duplicate docs in memory doc store. change primary key for sql doc table * fix mypy issues * fix mypy issues * haystack/retriever/base.py * fix test_write_document_meta[elastic] * fix test_elasticsearch_custom_fields * fix test_labels[elastic] * fix crawler * fix converter * fix docx converter * fix preprocessor * fix test_utils * fix tfidf retriever. fix selection of docstore in tests with multiple fixtures / parameterizations * Add latest docstring and tutorial changes * fix crawler test. fix ocrconverter attribute * fix test_elasticsearch_custom_query * fix generator pipeline * fix ocr converter * fix ragenerator * Add latest docstring and tutorial changes * fix test_load_and_save_yaml for elasticsearch * fixes for pipeline tests * fix faq pipeline * fix pipeline tests * Add latest docstring and tutorial changes * fix weaviate * Add latest docstring and tutorial changes * trigger CI * satisfy mypy * Add latest docstring and tutorial changes * satisfy mypy * Add latest docstring and tutorial changes * trigger CI * fix question generation test * fix ray. fix Q-generation * fix translator test * satisfy mypy * wip refactor feedback rest api * fix rest api feedback endpoint * fix doc classifier * remove relation of Labels -> Docs in SQL ORM * fix faiss/milvus tests * fix doc classifier test * fix eval test * fixing eval issues * Add latest docstring and tutorial changes * fix mypy * WIP replace dataclasses-json with manual serialization * Add latest docstring and tutorial changes * revert to dataclass-json serialization for now. remove debug prints. * update docstrings * fix extractor. fix Answer Span init * fix api test * keep meta data of answers in reader.run() * fix meta handling * adress review feedback * Add latest docstring and tutorial changes * make document=None for open domain labels * add import * fix print utils * fix rest api * adress review feedback * Add latest docstring and tutorial changes * fix mypy Co-authored-by: Markus Paff <markuspaff.mp@gmail.com> Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
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pages = document["content"].split("\f")
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assert len(pages) == 4 # the sample PDF file has four pages.
assert pages[0] != "" # the page 1 of PDF contains text.
assert pages[2] == "" # the page 3 of PDF file is empty.
# assert text is retained from the document.
# As whitespace can differ (\n," ", etc.), we standardize all to simple whitespace
page_standard_whitespace = " ".join(pages[0].split())
assert (
"Adobe Systems made the PDF specification available free of charge in 1993."
in page_standard_whitespace
)
2020-06-08 11:07:19 +02:00
[RAG] Integrate "Retrieval-Augmented Generation" with Haystack (#484) * Adding dummy generator implementation * Adding tutorial to try the model * Committing current non working code * Committing current update where we need to call generate function directly and need to convert embedding to tensor way * Addressing review comments. * Refactoring finder, and implementing rag_generator class. * Refined the implementation of RAGGenerator and now it is in clean shape * Renaming RAGGenerator to RAGenerator * Reverting change from finder.py and addressing review comments * Remove support for RagSequenceForGeneration * Utilizing embed_passage function from DensePassageRetriever * Adding sample test data to verify generator output * Updating testing script * Updating testing script * Fixing bug related to top_k * Updating latest farm dependency * Comment out farm dependency * Reverting changes from TransformersReader * Adding transformers dataset to compare transformers and haystack generator implementation * Using generator_encoder instead of question_encoder to generate context_input_ids * Adding workaround to install FARM dependency from master branch * Removing unnecessary changes * Fixing generator test * Removing transformers datasets * Fixing generator test * Some cleanup and updating TODO comments * Adding tutorial notebook * Updating tutorials with comments * Explicitly passing token model in RAG test * Addressing review comments * Fixing notebook * Refactoring tests to reduce memory footprint * Split generator tests in separate ci step and before running it reclaim memory by terminating containers * Moving tika dependent test to separate dir * Remove unwanted code * Brining reader under session scope * Farm is now session object hence restoring changes from default value * Updating assert for pdf converter * Dummy commit to trigger CI flow * REducing memory footprint required for generator tests * Fixing mypy issues * Marking test with tika and elasticsearch markers. Reverting changes in CI and pytest splits * reducing changes * Fixing CI * changing elastic search ci * Fixing test error * Disabling return of embedding * Marking generator test as well * Refactoring tutorials * Increasing ES memory to 750M * Trying another fix for ES CI * Reverting CI changes * Splitting tests in CI * Generator and non-generator markers split * Adding pytest.ini to add markers and enable strict-markers option * Reducing elastic search container memory * Simplifying generator test by using documents with embedding directly * Bump up farm to 0.5.0
2020-10-30 18:06:02 +01:00
@pytest.mark.tika
2020-08-17 11:21:09 +02:00
@pytest.mark.parametrize("Converter", [PDFToTextConverter, TikaConverter])
Add CI for windows runner (#1458) * Feat: Removing use of temp file while downloading archive from url along with adding CI for windows and mac platform * Windows CI by default installing pytorch gpu hence updating CI to pick cpu version * fixing mac cache build issue * updating windows pip install command for torch * another attempt * updating ci * Adding sudo * fixing ls failure on windows * another attempt to fix build issue * Saving env variable of test files * Adding debug log * Github action differ on windows * adding debug * anohter attempt * Windows have different ways to receive env * fixing template * minor fx * Adding debug * Removing use of json * Adding back fromJson * addin toJson * removing print * anohter attempt * disabling parallel run at least for testing * installing docker for mac runner * correcting docker install command * Linux dockers are not suported in windows * Removing mac changes * Upgrading pytorch * using lts pytorch * Separating win and ubuntu * Install java 11 * enabling linux container env * docker cli command * docker cli command * start elastic service * List all service * correcting service name * Attempt to fix multiple test run * convert to json * another attempt to check * Updating build cache step * attempt * Add tika * Separating windows CI * Changing CI name * Skipping test which does not work in windows * Skipping tests for windows * create cleanup function in conftest * adding skipif marker on tests * Run windows PR on only push to master * Addressing review comments * Enabling windows ci for this PR * Tika init is being called when importing tika function * handling tika import issue * handling tika import issue in test * Fixing import issue * removing tika fixure * Removing fixture from tests * Disable windows ci on pull request * Add back extra pytorch install step Co-authored-by: Malte Pietsch <malte.pietsch@deepset.ai>
2021-10-29 13:52:28 +05:30
def test_table_removal(Converter):
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converter = Converter(remove_numeric_tables=True)
document = converter.convert(file_path=SAMPLES_PATH/"pdf"/"sample_pdf_1.pdf")[0]
Redesign primitives - `Document`, `Answer`, `Label` (#1398) * first draft / notes on new primitives * wip label / feedback refactor * rename doc.text -> doc.content. add doc.content_type * add datatype for content * remove faq_question_field from ES and weaviate. rename text_field -> content_field in docstores. update tutorials for content field * update converters for . Add warning for empty * renam label.question -> label.query. Allow sorting of Answers. * WIP primitives * update ui/reader for new Answer format * Improve Label. First refactoring of MultiLabel. Adjust eval code * fixed workflow conflict with introducing new one (#1472) * Add latest docstring and tutorial changes * make add_eval_data() work again * fix reader formats. WIP fix _extract_docs_and_labels_from_dict * fix test reader * Add latest docstring and tutorial changes * fix another test case for reader * fix mypy in farm reader.eval() * fix mypy in farm reader.eval() * WIP ORM refactor * Add latest docstring and tutorial changes * fix mypy weaviate * make label and multilabel dataclasses * bump mypy env in CI to python 3.8 * WIP refactor Label ORM * WIP refactor Label ORM * simplify tests for individual doc stores * WIP refactoring markers of tests * test alternative approach for tests with existing parametrization * WIP refactor ORMs * fix skip logic of already parametrized tests * fix weaviate behaviour in tests - not parametrizing it in our general test cases. * Add latest docstring and tutorial changes * fix some tests * remove sql from document_store_types * fix markers for generator and pipeline test * remove inmemory marker * remove unneeded elasticsearch markers * add dataclasses-json dependency. adjust ORM to just store JSON repr * ignore type as dataclasses_json seems to miss functionality here * update readme and contributing.md * update contributing * adjust example * fix duplicate doc handling for custom index * Add latest docstring and tutorial changes * fix some ORM issues. fix get_all_labels_aggregated. * update drop flags where get_all_labels_aggregated() was used before * Add latest docstring and tutorial changes * add to_json(). add + fix tests * fix no_answer handling in label / multilabel * fix duplicate docs in memory doc store. change primary key for sql doc table * fix mypy issues * fix mypy issues * haystack/retriever/base.py * fix test_write_document_meta[elastic] * fix test_elasticsearch_custom_fields * fix test_labels[elastic] * fix crawler * fix converter * fix docx converter * fix preprocessor * fix test_utils * fix tfidf retriever. fix selection of docstore in tests with multiple fixtures / parameterizations * Add latest docstring and tutorial changes * fix crawler test. fix ocrconverter attribute * fix test_elasticsearch_custom_query * fix generator pipeline * fix ocr converter * fix ragenerator * Add latest docstring and tutorial changes * fix test_load_and_save_yaml for elasticsearch * fixes for pipeline tests * fix faq pipeline * fix pipeline tests * Add latest docstring and tutorial changes * fix weaviate * Add latest docstring and tutorial changes * trigger CI * satisfy mypy * Add latest docstring and tutorial changes * satisfy mypy * Add latest docstring and tutorial changes * trigger CI * fix question generation test * fix ray. fix Q-generation * fix translator test * satisfy mypy * wip refactor feedback rest api * fix rest api feedback endpoint * fix doc classifier * remove relation of Labels -> Docs in SQL ORM * fix faiss/milvus tests * fix doc classifier test * fix eval test * fixing eval issues * Add latest docstring and tutorial changes * fix mypy * WIP replace dataclasses-json with manual serialization * Add latest docstring and tutorial changes * revert to dataclass-json serialization for now. remove debug prints. * update docstrings * fix extractor. fix Answer Span init * fix api test * keep meta data of answers in reader.run() * fix meta handling * adress review feedback * Add latest docstring and tutorial changes * make document=None for open domain labels * add import * fix print utils * fix rest api * adress review feedback * Add latest docstring and tutorial changes * fix mypy Co-authored-by: Markus Paff <markuspaff.mp@gmail.com> Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
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pages = document["content"].split("\f")
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# assert numeric rows are removed from the table.
assert "324" not in pages[0]
assert "54x growth" not in pages[0]
[RAG] Integrate "Retrieval-Augmented Generation" with Haystack (#484) * Adding dummy generator implementation * Adding tutorial to try the model * Committing current non working code * Committing current update where we need to call generate function directly and need to convert embedding to tensor way * Addressing review comments. * Refactoring finder, and implementing rag_generator class. * Refined the implementation of RAGGenerator and now it is in clean shape * Renaming RAGGenerator to RAGenerator * Reverting change from finder.py and addressing review comments * Remove support for RagSequenceForGeneration * Utilizing embed_passage function from DensePassageRetriever * Adding sample test data to verify generator output * Updating testing script * Updating testing script * Fixing bug related to top_k * Updating latest farm dependency * Comment out farm dependency * Reverting changes from TransformersReader * Adding transformers dataset to compare transformers and haystack generator implementation * Using generator_encoder instead of question_encoder to generate context_input_ids * Adding workaround to install FARM dependency from master branch * Removing unnecessary changes * Fixing generator test * Removing transformers datasets * Fixing generator test * Some cleanup and updating TODO comments * Adding tutorial notebook * Updating tutorials with comments * Explicitly passing token model in RAG test * Addressing review comments * Fixing notebook * Refactoring tests to reduce memory footprint * Split generator tests in separate ci step and before running it reclaim memory by terminating containers * Moving tika dependent test to separate dir * Remove unwanted code * Brining reader under session scope * Farm is now session object hence restoring changes from default value * Updating assert for pdf converter * Dummy commit to trigger CI flow * REducing memory footprint required for generator tests * Fixing mypy issues * Marking test with tika and elasticsearch markers. Reverting changes in CI and pytest splits * reducing changes * Fixing CI * changing elastic search ci * Fixing test error * Disabling return of embedding * Marking generator test as well * Refactoring tutorials * Increasing ES memory to 750M * Trying another fix for ES CI * Reverting CI changes * Splitting tests in CI * Generator and non-generator markers split * Adding pytest.ini to add markers and enable strict-markers option * Reducing elastic search container memory * Simplifying generator test by using documents with embedding directly * Bump up farm to 0.5.0
2020-10-30 18:06:02 +01:00
@pytest.mark.tika
2020-08-17 11:21:09 +02:00
@pytest.mark.parametrize("Converter", [PDFToTextConverter, TikaConverter])
Add CI for windows runner (#1458) * Feat: Removing use of temp file while downloading archive from url along with adding CI for windows and mac platform * Windows CI by default installing pytorch gpu hence updating CI to pick cpu version * fixing mac cache build issue * updating windows pip install command for torch * another attempt * updating ci * Adding sudo * fixing ls failure on windows * another attempt to fix build issue * Saving env variable of test files * Adding debug log * Github action differ on windows * adding debug * anohter attempt * Windows have different ways to receive env * fixing template * minor fx * Adding debug * Removing use of json * Adding back fromJson * addin toJson * removing print * anohter attempt * disabling parallel run at least for testing * installing docker for mac runner * correcting docker install command * Linux dockers are not suported in windows * Removing mac changes * Upgrading pytorch * using lts pytorch * Separating win and ubuntu * Install java 11 * enabling linux container env * docker cli command * docker cli command * start elastic service * List all service * correcting service name * Attempt to fix multiple test run * convert to json * another attempt to check * Updating build cache step * attempt * Add tika * Separating windows CI * Changing CI name * Skipping test which does not work in windows * Skipping tests for windows * create cleanup function in conftest * adding skipif marker on tests * Run windows PR on only push to master * Addressing review comments * Enabling windows ci for this PR * Tika init is being called when importing tika function * handling tika import issue * handling tika import issue in test * Fixing import issue * removing tika fixure * Removing fixture from tests * Disable windows ci on pull request * Add back extra pytorch install step Co-authored-by: Malte Pietsch <malte.pietsch@deepset.ai>
2021-10-29 13:52:28 +05:30
def test_language_validation(Converter, caplog):
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converter = Converter(valid_languages=["en"])
converter.convert(file_path=SAMPLES_PATH/"pdf"/"sample_pdf_1.pdf")
assert (
"samples/pdf/sample_pdf_1.pdf is not one of ['en']."
not in caplog.text
)
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converter = Converter(valid_languages=["de"])
converter.convert(file_path=SAMPLES_PATH/"pdf"/"sample_pdf_1.pdf")
assert (
"samples/pdf/sample_pdf_1.pdf is not one of ['de']."
in caplog.text
)
2020-06-08 11:07:19 +02:00
2021-02-12 13:38:54 +01:00
def test_docx_converter():
converter = DocxToTextConverter()
document = converter.convert(file_path=SAMPLES_PATH/"docx"/"sample_docx.docx")[0]
Redesign primitives - `Document`, `Answer`, `Label` (#1398) * first draft / notes on new primitives * wip label / feedback refactor * rename doc.text -> doc.content. add doc.content_type * add datatype for content * remove faq_question_field from ES and weaviate. rename text_field -> content_field in docstores. update tutorials for content field * update converters for . Add warning for empty * renam label.question -> label.query. Allow sorting of Answers. * WIP primitives * update ui/reader for new Answer format * Improve Label. First refactoring of MultiLabel. Adjust eval code * fixed workflow conflict with introducing new one (#1472) * Add latest docstring and tutorial changes * make add_eval_data() work again * fix reader formats. WIP fix _extract_docs_and_labels_from_dict * fix test reader * Add latest docstring and tutorial changes * fix another test case for reader * fix mypy in farm reader.eval() * fix mypy in farm reader.eval() * WIP ORM refactor * Add latest docstring and tutorial changes * fix mypy weaviate * make label and multilabel dataclasses * bump mypy env in CI to python 3.8 * WIP refactor Label ORM * WIP refactor Label ORM * simplify tests for individual doc stores * WIP refactoring markers of tests * test alternative approach for tests with existing parametrization * WIP refactor ORMs * fix skip logic of already parametrized tests * fix weaviate behaviour in tests - not parametrizing it in our general test cases. * Add latest docstring and tutorial changes * fix some tests * remove sql from document_store_types * fix markers for generator and pipeline test * remove inmemory marker * remove unneeded elasticsearch markers * add dataclasses-json dependency. adjust ORM to just store JSON repr * ignore type as dataclasses_json seems to miss functionality here * update readme and contributing.md * update contributing * adjust example * fix duplicate doc handling for custom index * Add latest docstring and tutorial changes * fix some ORM issues. fix get_all_labels_aggregated. * update drop flags where get_all_labels_aggregated() was used before * Add latest docstring and tutorial changes * add to_json(). add + fix tests * fix no_answer handling in label / multilabel * fix duplicate docs in memory doc store. change primary key for sql doc table * fix mypy issues * fix mypy issues * haystack/retriever/base.py * fix test_write_document_meta[elastic] * fix test_elasticsearch_custom_fields * fix test_labels[elastic] * fix crawler * fix converter * fix docx converter * fix preprocessor * fix test_utils * fix tfidf retriever. fix selection of docstore in tests with multiple fixtures / parameterizations * Add latest docstring and tutorial changes * fix crawler test. fix ocrconverter attribute * fix test_elasticsearch_custom_query * fix generator pipeline * fix ocr converter * fix ragenerator * Add latest docstring and tutorial changes * fix test_load_and_save_yaml for elasticsearch * fixes for pipeline tests * fix faq pipeline * fix pipeline tests * Add latest docstring and tutorial changes * fix weaviate * Add latest docstring and tutorial changes * trigger CI * satisfy mypy * Add latest docstring and tutorial changes * satisfy mypy * Add latest docstring and tutorial changes * trigger CI * fix question generation test * fix ray. fix Q-generation * fix translator test * satisfy mypy * wip refactor feedback rest api * fix rest api feedback endpoint * fix doc classifier * remove relation of Labels -> Docs in SQL ORM * fix faiss/milvus tests * fix doc classifier test * fix eval test * fixing eval issues * Add latest docstring and tutorial changes * fix mypy * WIP replace dataclasses-json with manual serialization * Add latest docstring and tutorial changes * revert to dataclass-json serialization for now. remove debug prints. * update docstrings * fix extractor. fix Answer Span init * fix api test * keep meta data of answers in reader.run() * fix meta handling * adress review feedback * Add latest docstring and tutorial changes * make document=None for open domain labels * add import * fix print utils * fix rest api * adress review feedback * Add latest docstring and tutorial changes * fix mypy Co-authored-by: Markus Paff <markuspaff.mp@gmail.com> Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
2021-10-13 14:23:23 +02:00
assert document["content"].startswith("Sample Docx File")
2021-03-23 16:31:26 +01:00
def test_markdown_converter():
converter = MarkdownConverter()
document = converter.convert(file_path=SAMPLES_PATH/"markdown"/"sample.md")[0]
Redesign primitives - `Document`, `Answer`, `Label` (#1398) * first draft / notes on new primitives * wip label / feedback refactor * rename doc.text -> doc.content. add doc.content_type * add datatype for content * remove faq_question_field from ES and weaviate. rename text_field -> content_field in docstores. update tutorials for content field * update converters for . Add warning for empty * renam label.question -> label.query. Allow sorting of Answers. * WIP primitives * update ui/reader for new Answer format * Improve Label. First refactoring of MultiLabel. Adjust eval code * fixed workflow conflict with introducing new one (#1472) * Add latest docstring and tutorial changes * make add_eval_data() work again * fix reader formats. WIP fix _extract_docs_and_labels_from_dict * fix test reader * Add latest docstring and tutorial changes * fix another test case for reader * fix mypy in farm reader.eval() * fix mypy in farm reader.eval() * WIP ORM refactor * Add latest docstring and tutorial changes * fix mypy weaviate * make label and multilabel dataclasses * bump mypy env in CI to python 3.8 * WIP refactor Label ORM * WIP refactor Label ORM * simplify tests for individual doc stores * WIP refactoring markers of tests * test alternative approach for tests with existing parametrization * WIP refactor ORMs * fix skip logic of already parametrized tests * fix weaviate behaviour in tests - not parametrizing it in our general test cases. * Add latest docstring and tutorial changes * fix some tests * remove sql from document_store_types * fix markers for generator and pipeline test * remove inmemory marker * remove unneeded elasticsearch markers * add dataclasses-json dependency. adjust ORM to just store JSON repr * ignore type as dataclasses_json seems to miss functionality here * update readme and contributing.md * update contributing * adjust example * fix duplicate doc handling for custom index * Add latest docstring and tutorial changes * fix some ORM issues. fix get_all_labels_aggregated. * update drop flags where get_all_labels_aggregated() was used before * Add latest docstring and tutorial changes * add to_json(). add + fix tests * fix no_answer handling in label / multilabel * fix duplicate docs in memory doc store. change primary key for sql doc table * fix mypy issues * fix mypy issues * haystack/retriever/base.py * fix test_write_document_meta[elastic] * fix test_elasticsearch_custom_fields * fix test_labels[elastic] * fix crawler * fix converter * fix docx converter * fix preprocessor * fix test_utils * fix tfidf retriever. fix selection of docstore in tests with multiple fixtures / parameterizations * Add latest docstring and tutorial changes * fix crawler test. fix ocrconverter attribute * fix test_elasticsearch_custom_query * fix generator pipeline * fix ocr converter * fix ragenerator * Add latest docstring and tutorial changes * fix test_load_and_save_yaml for elasticsearch * fixes for pipeline tests * fix faq pipeline * fix pipeline tests * Add latest docstring and tutorial changes * fix weaviate * Add latest docstring and tutorial changes * trigger CI * satisfy mypy * Add latest docstring and tutorial changes * satisfy mypy * Add latest docstring and tutorial changes * trigger CI * fix question generation test * fix ray. fix Q-generation * fix translator test * satisfy mypy * wip refactor feedback rest api * fix rest api feedback endpoint * fix doc classifier * remove relation of Labels -> Docs in SQL ORM * fix faiss/milvus tests * fix doc classifier test * fix eval test * fixing eval issues * Add latest docstring and tutorial changes * fix mypy * WIP replace dataclasses-json with manual serialization * Add latest docstring and tutorial changes * revert to dataclass-json serialization for now. remove debug prints. * update docstrings * fix extractor. fix Answer Span init * fix api test * keep meta data of answers in reader.run() * fix meta handling * adress review feedback * Add latest docstring and tutorial changes * make document=None for open domain labels * add import * fix print utils * fix rest api * adress review feedback * Add latest docstring and tutorial changes * fix mypy Co-authored-by: Markus Paff <markuspaff.mp@gmail.com> Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
2021-10-13 14:23:23 +02:00
assert document["content"].startswith("What to build with Haystack")
def test_azure_converter():
# Check if Form Recognizer endpoint and credential key in environment variables
if "AZURE_FORMRECOGNIZER_ENDPOINT" in os.environ and "AZURE_FORMRECOGNIZER_KEY" in os.environ:
converter = AzureConverter(endpoint=os.environ["AZURE_FORMRECOGNIZER_ENDPOINT"],
credential_key=os.environ["AZURE_FORMRECOGNIZER_KEY"],
save_json=True,
)
docs = converter.convert(file_path=SAMPLES_PATH/"pdf"/"sample_pdf_1.pdf")
assert len(docs) == 2
assert docs[0]["content_type"] == "table"
assert len(docs[0]["content"]) == 5 # number of rows
assert len(docs[0]["content"][0]) == 5 # number of columns, Form Recognizer assumes there are 5 columns
assert docs[0]["content"][0] == ['', 'Column 1', '', 'Column 2', 'Column 3']
assert docs[0]["content"][4] == ['D', '$54.35', '', '$6345.', '']
assert docs[1]["content_type"] == "text"
assert docs[1]["content"].startswith("A sample PDF file")
def test_parsr_converter():
converter = ParsrConverter()
docs = converter.convert(file_path=str((SAMPLES_PATH/"pdf"/"sample_pdf_1.pdf").absolute()))
assert len(docs) == 2
assert docs[0]["content_type"] == "table"
assert len(docs[0]["content"]) == 5 # number of rows
assert len(docs[0]["content"][0]) == 4 # number of columns
assert docs[0]["content"][0] == ['', 'Column 1', 'Column 2', 'Column 3']
assert docs[0]["content"][4] == ['D', '$54.35', '$6345.', '']
assert docs[1]["content_type"] == "text"
assert docs[1]["content"].startswith("A sample PDF file")
assert docs[1]["content"].endswith("Page 4 of Sample PDF\n… the page 3 is empty.")