* Experimental Ci workflow for running tutorials
* Run on every push for now
* Not starting?
* Disabling paths temporarily
* Sort tutorials in natural order
* Install ipython
* remove ipython install
* Try running ipython with sudo
* env.pythonLocation
* Skipping tutorial2 and 9 for speed
* typo
* Use one runner per tutorial, for now
* Typo in dependend job
* Missing quotes broke scripts matrix
* Simplify setup for the tutorials, try to prevent containers conflict
* Remove needless job dependencies
* Try prevent cache issues, fix small Tut10 bug
* Missing deps for running notebook tutorials
* Create three groups of tutorials excluding the longest among them
* remove deps
* use proper bash loop
* Try with a single string
* Fix typo in echo
* Forgot do
* Typo
* Try to make the GraphDB tutorial without launching its own container
* Run notebook and script together
* Whitespace
* separate scrpits and notebooks execution
* Run notebooks first
* Try caching the GoT data before running the scripts
* add note
* fix mkdir
* Fix path
* Update Documentation & Code Style
* missing -r
* Fix folder numbering
* Run notebooks as well
* Typo in notebook command
* complete path in notebook command
* Try with TIKA_LOG_PATH
* Fix folder naming
* Do not use cached data in Tut9
* extracting the number better
* Small tweaks
* Same fix on Tut10 on the notebook
* Exclude GoT cache for tut5 too
* Remove faiss files after tutorial run
* Layout
* fix remove command
* Fix path in tut10 notebook
* Fix typo in node name in tut14
* Third block was too long, rebancing
* Reduce GoT dataset even more, why wasting time after all...
* Fix paths in tut10 again
* do git clean to make sure to cleanup everything (breaks post Python)
* Remove ES file with bad permission at the end of the run
* Split first block, takes >30mins
* take out tut15 for a moment, has an actual bug
* typo
* Forgot rm option
* Simply remove all ES files
* Improve logs of GoT reduction
* Exclude also tut16 from cache to try fix bug
* Replace ll with ls
* Reintroduce 15_TableQA
* Small regrouping
* regrouping to make the min num of runners go for about 30mins
* Add cron schedule and PR paths conditions
* Add some timing information
* Separate tutorials by diff and tutorials by cron
* temp add pull_request to tutorials nightly
* Add badge in README to keep track of the nightly tutorials run
* Remove prefixes from data folder names
* Add fetch depth to get diff with master
* Fix paths again
* typo
* Exclude long-running ones
* Typo
* Fix tutorials.yml as well
* Use head_ref
* Using an action for now
* exclude other files
* Use only the correct command to run the tutorial
* Add long running tutorials in separate runners, just for experiment
* Factor out the complex bash script
* Pass the python path to the bash script
* Fix paths
* adding log statement
* Missing dollarsign
* Resetting variable in loop
* using mini GoT dataset and improving bash script
* change dataset name
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* add basic telemetry features
* change pipeline_config to _component_config
* Update Documentation & Code Style
* add super().__init__() calls to error classes
* make posthog mock work with python 3.7
* Update Documentation & Code Style
* update link to docs web page
* log exceptions, send event for raised HaystackErrors, refactor Path(CONFIG_PATH)
* add comment on send_event in BaseComponent.init() and fix mypy
* mock NonPrivateParameters and fix pylint undefined-variable
* Update Documentation & Code Style
* check model path contains multiple /
* add test for writing to file
* add test for en-/disable telemetry
* Update Documentation & Code Style
* merge file deletion methods and ignore pylint global statement
* Update Documentation & Code Style
* set env variable in demo to activate telemetry
* fix mock of HAYSTACK_TELEMETRY_ENABLED
* fix mypy and linter
* add CI as env variable to execution contexts
* remove threading, add test for custom error event
* Update Documentation & Code Style
* simplify config/log file deletion
* add test for final event being sent
* force writing config file in test
* make test compatible with python 3.7
* switch to posthog production server
* Update Documentation & Code Style
Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
* Upgrade pydoc-markdown and fix the YAMLs to work with it
* Pin pydoc-markdown to major version
* Generalize pydoc-markdown workflow
* Make a single Action to perform all tasks that require committing into the local branch
* Merge the code updates and the docs in the Linux CI to prevent the bot from always show the pipeline as green
* Installing Jupyter deps for Black
* Build cache before running generation tasks
* Add check not to run the code generation on master
* Simplify push action
* Add more test deps in setup.cfg and remove from GH Action workflow
* Remove forced upgrades on pip install
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* Fist attempt at using setup.cfg for dependency management
* Trying the new package on the CI and in Docker too
* Add composite extras_require
* Add the safe_import function for document store imports and add some try-catch statements on rest_api and ui imports
* Fix bug on class import and rephrase error message
* Introduce typing for optional modules and add type: ignore in sparse.py
* Include importlib_metadata backport for py3.7
* Add colab group to extra_requires
* Fix pillow version
* Fix grpcio
* Separate out the crawler as another extra
* Make paths relative in rest_api and ui
* Update the test matrix in the CI
* Add try catch statements around the optional imports too to account for direct imports
* Never mix direct deps with self-references and add ES deps to the base install
* Refactor several paths in tests to make them insensitive to the execution path
* Include tstadel review and re-introduce Milvus1 in the tests suite, to fix
* Wrap pdf conversion utils into safe_import
* Update some tutorials and rever Milvus1 as default for now, see #2067
* Fix mypy config
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* Files moved, imports all broken
* Fix most imports and docstrings into
* Fix the paths to the modules in the API docs
* Add latest docstring and tutorial changes
* Add a few pipelines that were lost in the inports
* Fix a bunch of mypy warnings
* Add latest docstring and tutorial changes
* Create a file_classifier module
* Add docs for file_classifier
* Fixed most circular imports, now the REST API can start
* Add latest docstring and tutorial changes
* Tackling more mypy issues
* Reintroduce from FARM and fix last mypy issues hopefully
* Re-enable old-style imports
* Fix some more import from the top-level package in an attempt to sort out circular imports
* Fix some imports in tests to new-style to prevent failed class equalities from breaking tests
* Change document_store into document_stores
* Update imports in tutorials
* Add latest docstring and tutorial changes
* Probably fixes summarizer tests
* Improve the old-style import allowing module imports (should work)
* Try to fix the docs
* Remove dedicated KnowledgeGraph page from autodocs
* Remove dedicated GraphRetriever page from autodocs
* Fix generate_docstrings.sh with an updated list of yaml files to look for
* Fix some more modules in the docs
* Fix the document stores docs too
* Fix a small issue on Tutorial14
* Add latest docstring and tutorial changes
* Add deprecation warning to old-style imports
* Remove stray folder and import Dict into dense.py
* Change import path for MLFlowLogger
* Add old loggers path to the import path aliases
* Fix debug output of convert_ipynb.py
* Fix circular import on BaseRetriever
* Missed one merge block
* re-run tutorial 5
* Fix imports in tutorial 5
* Re-enable squad_to_dpr CLI from the root package and move get_batches_from_generator into document_stores.base
* Add latest docstring and tutorial changes
* Fix typo in utils __init__
* Fix a few more imports
* Fix benchmarks too
* New-style imports in test_knowledge_graph
* Rollback setup.py
* Rollback squad_to_dpr too
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* Update jobs link to personio
* Add latest docstring and tutorial changes
* Change jobs link to main website
* Add latest docstring and tutorial changes
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* Add knowledge graph module
* Fix type hint
* Add graph retriver module
* Change type annotations, change return format
* Add graph retriever that executes questions as sparql queries
* Linking only those entities that are in the knowledge graph
* Added logging and using relations extracted from Knowledge graph for linking
* Preventing entity linking from linking the same token to multiple entities
* Pruning triples that have no variables for select and count queries
* Support knowledge graphs with Pipelines
* Add text2sparql
* Entity linking and relation linking consider more special cases now based on evaluation on labelled data
* Separating example code from KGQA implementation
* Add eval on combined extarctive and kg questions
* Remove references to hp-test
* Add fields sparql_query and long_answer_list to metadata
* Removing modular Question2SPARQL approach
* Removing additional classes used for modular kgqa approach
* preparing lcquad data
* change graph db
* Translating namespaces in knowledge graph queries
* Creating graphdb index and loading triples from .ttl file
* Fetching graph config files, triples and model from S3
* Fix incompatibility issues with BaseGraphRetriever and BaseComponent
* Removing unused utility functions
* Adding doc strings and tutorial header
* Adding sparqlwrapper dependency
* Moving tutorial header
* Sorting tutorials by number within name of notebook
* Add latest docstring and tutorial changes
* Creating test cases for knowledge graph
* Changing knowledge graph example to harry potter
* Add latest docstring and tutorial changes
* Adapting the tutorial notebook to harry potter example
* Add GraphDB fixture for tests
* Add latest docstring and tutorial changes
* Added GraphDB docker launch to CI
* Use correct GraphDB fixture
* Check if GraphDB instance is already running
* Renaming question/query and incorporating other feedback from Timo and Tanay
* Removed type annotation
* Add latest docstring and tutorial changes
Co-authored-by: oryx1729 <oryx1729@protonmail.com>
Co-authored-by: Timo Moeller <timo.moeller@deepset.ai>
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