* chore(lint): enforce and apply PEP 585 type hinting
* Run fmt fixes
* Fix all typing imports using some regex
* Fix all typing written in string in tests
* undo changes in the e2e tests
* make e2e test use list instead of List
* type fixes
* remove type:ignore
* pylint
* Remove typing from Usage example comments
* Remove typing from most of comments
* try to fix e2e tests on comm PRs
* fix
* Add tests typing.List in to adjust test compatiplity
- test/components/agents/test_state_class.py
- test/components/converters/test_output_adapter.py
- test/components/joiners/test_list_joiner.py
* simplify pyproject
* improve relnote
---------
Co-authored-by: anakin87 <stefanofiorucci@gmail.com>
* chore: Make the Haystack core "type complete"
For libraries with a `py.typed` marker, it is [recommended][1] to
make all public interfaces "type complete", i.e. to explicitly
annotate all function parameters and return types. Doing so has the
following benefits:
- It maximizes the type information available to users and IDEs.
- It ensures that the argument and return types are the intended ones.
- It sidesteps differences in type inference between the different
type checker implementations.
This change makes a first step towards type completeness by enabling
the Mypy `disallow_incomplete_defs` for the core modules (excluding
`haystack.components.*` and `haystack.testing.*`) and fixing the
resulting errors.
[1]: https://typing.python.org/en/latest/guides/libraries.html#how-much-of-my-library-needs-types
* chore: Add `python_version = 3.9` to Mypy config
This catches type constructs that are only supported in later Python
versions.
* Remove unused import
* try to fix linting
---------
Co-authored-by: Stefano Fiorucci <stefanofiorucci@gmail.com>
* Starting property schema refactor
* Adding more tests
* More tests
* Handle null type explicitly
* More updates of tests to accomodate Optional properly
* Fix more tests
* Remove unecessary check
* Some cleanup
* Update test
* Add reno
* Fix typing
* Add license header
* Use docstrings of dataclasses in parameter spec generation
* More tests of Haystack dataclass types
* Properly handle Sequence
* Fix license header
* Update OpenAI tests to add more complicated tool parameter signature
* Properly set required for dataclasses
* Add integration test for azure that includes additionalProperties
* Add more complicated integration test for HuggingFaceAPIChatGenerator
* Alternate approach using pydantic like we do in from_function.py
* Cleanup and fix other affected tests
* Fix mypy
* PR comments
* PR comment
* Remove test from HF API
* Update reno
* Update reno
* update Tool,ToolInvoker,ComponentTool,create_tool_from_function
* add State and its utils
* add tests for State and its utils
* update tests for Tool etc.
* reno
* fix circular imports
* update experimental imports in tests
* fix unit tests
* fix ChatGenerator unit tests
* mypy
* add State to init and pydoc
* explain State in more detail in release note
* add test from #8913
* re-add _check_duplicate_tool_names and refactor imports
* rename inputs and outputs
LHMQ878