* Use AutoTokenizer by default, to easily adapt to new models and tokenizers
* Add missing AutoTokenizer import
* Apply Black
* Missing import
* Fix DPR tests
* Remove tests on max length
* Update Documentation & Code Style
Co-authored-by: Sara Zan <sara.zanzottera@deepset.ai>
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* Add new audio answer primitives
* Add AnswerToSpeech
* Add dependency group
* Update Documentation & Code Style
* Extract TextToSpeech in a helper class, create DocumentToSpeech and primitives
* Add tests
* Update Documentation & Code Style
* Add ability to compress audio and more tests
* Add audio group to test, all and all-gpu
* fix pylint
* Update Documentation & Code Style
* Accidental git tag
* Try pleasing mypy
* Update Documentation & Code Style
* fix pylint
* Add warning for missing OS library and support in CI
* Try fixing mypy
* Update Documentation & Code Style
* Add docs, simplify args for audio nodes and add tutorials
* Fix mypy
* Fix run_batch
* Feedback on tutorials
* fix mypy and pylint
* Fix mypy again
* Fix mypy yet again
* Fix the ci
* Fix dicts merge and install ffmpeg on CI
* Make the audio nodes import safe
* Trying to increase tolerance in audio test
* Fix import paths
* fix linter
* Update Documentation & Code Style
* Add audio libs in unit tests
* Update _text_to_speech.py
* Update answer_to_speech.py
* Use dedicated dataset & update telemetry
* Remove and use distilled roberta
* Revert special primitives so that the nodes run in indexing
* Improve tutorials and fix smaller bugs
* Update Documentation & Code Style
* Fix serialization issue
* Update Documentation & Code Style
* Improve tutorial
* Update Documentation & Code Style
* Update _text_to_speech.py
* Minor lg updates
* Minor lg updates to tutorial
* Making indexing work in tutorials
* Update Documentation & Code Style
* Improve docstrings
* Try to use GPU when available
* Update Documentation & Code Style
* Fixi mypy and pylint
* Try to pass the device correctly
* Update Documentation & Code Style
* Use type of device
* use .cpu()
* Improve .ipynb
* update apt index to be able to download libsndfile1
* Fix SpeechDocument.from_dict()
* Change pip URL
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* make crawler extract also hidden text
* Update Documentation & Code Style
* try to adapt test for extract_hidden_text
* Update Documentation & Code Style
* fix test bug
* fix bug in test
* added test for hidden text"
* Update Documentation & Code Style
* fix bug in test
* Update Documentation & Code Style
* fix test
* Update Documentation & Code Style
* fix other test bug
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* move OpenSearchDocumentStore into its own Python module
* Update Documentation & Code Style
* mark test with (sigh) elasticsearch
* skip opensearch tests on windows
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* Do not show success message on failed evalset upload
* Update Documentation & Code Style
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* Unify CI tests (from #2466)
* Update Documentation & Code Style
* Change folder names
* Fix markers list
* Remove marker 'slow', replaced with 'integration'
* Soften children check
* Start ES first so it has time to boot while Python is setup
* Run the full workflow
* Try to make pip upgrade on Windows
* Set KG tests as integration
* Update Documentation & Code Style
* typo
* faster pylint
* Make Pylint use the cache
* filter diff files for pylint
* debug pylint statement
* revert pylint changes
* Remove path from asserted log (fails on Windows)
* Skip preprocessor test on Windows
* Tackling Windows specific failures
* Fix pytest command for windows suites
* Remove \ from command
* Move poppler test into integration
* Skip opensearch test on windows
* Add tolerance in reader sas score for Windows
* Another pytorch approx
* Raise time limit for unit tests :(
* Skip poppler test on Windows CI
* Specify to pull with FF only in docs check
* temporarily run the docs check immediately
* Allow merge commit for now
* Try without fetch depth
* Accelerating test
* Accelerating test
* Add repository and ref alongside fetch-depth
* Separate out code&docs check from tests
* Use setup-python cache
* Delete custom action
* Remove the pull step in the docs check, will find a way to run on bot commits
* Add requirements.txt in .github for caching
* Actually install dependencies
* Change deps group for pylint
* Unclear why the requirements.txt is still required :/
* Fix the code check python setup
* Install all deps for pylint
* Make the autoformat check depend on tests and doc updates workflows
* Try installing dependencies in another order
* Try again to install the deps
* quoting the paths
* Ad back the requirements
* Try again to install rest_api and ui
* Change deps group
* Duplicate haystack install line
* See if the cache is the problem
* Disable also in mypy, who knows
* split the install step
* Split install step everywhere
* Revert "Separate out code&docs check from tests"
This reverts commit 1cd59b15ffc5b984e1d642dcbf4c8ccc2bb6c9bd.
* Add back the action
* Proactive support for audio (see text2speech branch)
* Fix label generator tests
* Remove install of libsndfile1 on win temporarily
* exclude audio tests on win
* install ffmpeg for integration tests
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* Rewrite crawler tests (very slow) and fix small crawler bug
* Update Documentation & Code Style
* compile the regex only once
* Factor out the html files & add content check to most tests
* Clarify that even starting URLs can be excluded
* Update Documentation & Code Style
* Change signature
* Fix failing test
* Update Documentation & Code Style
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* Add possibility to upload evaluation sets to DC
* fix test_eval sas comparisons
* quickwin docstring feedback changes
* Add hint about annotation tool and mark optional and required columns
* minor changes to docstrings
* Do not deepcopy in get_components_definitions
* Update Documentation & Code Style
* comment
* unused import
* Add test to ensure env vars don't overwrite _component_config
* Update Documentation & Code Style
* Add test for get_config
* Add test to show the rename is not sufficient
* Update Documentation & Code Style
* copy only if it's strictly necessary
* Update Documentation & Code Style
* Apply suggestions from code review
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* review feedback
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* exit the while loop when we query less documents than available in Weaviate
* use monkeypatch fixture, remove unused markers
* we know key is there, use brackets to get the value
* use custom exception
* add warning message when we hit the QUERY_MAXIMUM_RESULTS problem
* restore pytest marker
* removed unused import
* make the warning message more clear
* Ray pipelines now validate
* Update Documentation & Code Style
* rename Ray pipeline in tests
* Add extras:ray to the test pipeline
* pylint
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* Move super in OpenSearchDocumentStore and add small test
* Update Documentation & Code Style
* Add Opensearch container to the CI
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* Remove BasePipeline and make a module for RayPipeline
* Can load pipelines from yaml, plenty of issues left
* Extract graph validation logic into _add_node_to_pipeline_graph & refactor load_from_config and add_node to use it
* Fix pipeline tests
* Move some tests out of test_pipeline.py and create MockDenseRetriever
* myoy and pylint (silencing too-many-public-methods)
* Fix issue found in some yaml files and in schema files
* Fix paths to YAML and fix some typos in Ray
* Fix eval tests
* Simplify MockDenseRetriever
* Fix Ray test
* Accidentally pushed merge coinflict, fixed
* Typo in schemas
* Typo in _json_schema.py
* Slightly reduce noisyness of version validation warnings
* Fix version logs tests
* Fix version logs tests again
* remove seemingly unused file
* Add check and test to avoid adding the same node to the pipeline twice
* Update Documentation & Code Style
* Revert config to pipeline_config
* Remo0ve unused import
* Complete reverting to pipeline_config
* Some more stray config=
* Update Documentation & Code Style
* Feedback
* Move back other_nodes tests into pipeline tests temporarily
* Update Documentation & Code Style
* Fixing tests
* Update Documentation & Code Style
* Fixing ray and standard pipeline tests
* Rename colliding load() methods in dense retrievers and faiss
* Update Documentation & Code Style
* Fix mypy on ray.py as well
* Add check for no root node
* Fix tests to use load_from_directory and load_index
* Try to workaround the disabled add_node of RayPipeline
* Update Documentation & Code Style
* Fix Ray test
* Fix FAISS tests
* Relax class check in _add_node_to_pipeline_graph
* Update Documentation & Code Style
* Try to fix mypy in ray.py
* unused import
* Try another fix for Ray
* Fix connector tests
* Update Documentation & Code Style
* Fix ray
* Update Documentation & Code Style
* use BaseComponent.load() in pipelines/base.py
* another round of feedback
* stray BaseComponent.load()
* Update Documentation & Code Style
* Fix FAISS tests too
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* Add support for aliases in elasticsearch document store
* Add alias support for OpenSearch
* Missing variable index
* Update Documentation & Code Style
* Add unit test for elasticsearch alias support
* Fix unit test when index is not compatible with haystack
* Fix auto format conflict
* Add comment explaining for loop for alias
* Update Documentation & Code Style
Co-authored-by: Jonathan Gallon <jonathan.gallon@totalenergies.com>
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* Add windows specific package for python-magic
* Disable some tests on Windows and add explanatory warning in case of issues with libmagic
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* Change exception into warning, add strict_version param, and remove compatibility between schemas
* Simplify update_json_schema
* Rename unstable into master
* Prevent validate_config from changing the config to validate
* Fix version validation and add tests
* Rename master into ignore
* Complete parameter rename
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* Add failing test
* Remove `**kwargs` from docstores' `__init__` functions (#2407)
* Remove kwargs from ESDocStore subclasses
* Remove kwargs from subclasses of SQLDocumentStore
* Remove kwargs from Weaviate
* Revert change in pinecone
* Fix tests
* Fix retriever test wirh weaviate
* Change Exception into DocumentStoreError
* Update Documentation & Code Style
* Remove `**kwargs` from `FARMReader` (#2413)
* Remove FARMReader kwargs without trying to replace them functionally
* Update Documentation & Code Style
* enforce same index values before and after saving/loading eval dataframes (#2398)
* Add tests for missing `__init__` and `super().__init__()` in custom nodes (#2350)
* Add tests for missing init and super
* Update Documentation & Code Style
* change in with endswith
* Move test in pipeline.py and change test in pipeline_yaml.py
* Update Documentation & Code Style
* Use caplog to test the warning
* Update Documentation & Code Style
* move tests into test_pipeline and use get_config
* Update Documentation & Code Style
* Unmock version name
* Improve variadic args test
* Update Documentation & Code Style
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