* 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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This PR changes the instance type of the public Haystack demo from p3.2xlarge to g4dn.2xlarge.
g4dn.2xlarge has 1 GPU, 8 vCPUs, 32 GiB of memory
p3.2xlarge had 1 GPU, 8 vCPUs, 61 GiB of memory
which results in 75% lower costs with g4dn.2xlarge.
I also tried out the even smaller g4dn.xlarge, which has 1 GPU, 4 vCPUs, 16 GiB of memory. However, the memory was not enough to run the demo. I tried out multiple requests at the same time and it worked well with g4dn.2xlarge. Requests are slightly slower as with the more powerful instance type but it's hard to notice.
