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Is it possible to have TypedDict generator functions? #3932
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I'm guessing that this is not possible because when I write something like:
I get a warning |
Yeah, you're probably going to have to write something that generates stub (.pyi) files containing the TypedDict definitions in the form mypy supports. |
Thanks for the response. Do you think you could give me an example of this? I'm not sure how the stub file would help in this scenario and I couldn't find the stub representation of a TypedDict in the documentation. |
Stub files have the same syntax as regular Python files: http://mypy.readthedocs.io/en/stable/basics.html#library-stubs-and-the-typeshed-repo . For your example you would have to generate something like from mypy_extensions import TypedDict
schema = TypedDict('schema', {'type': str}) |
Instead of generating a stub file, you could generate # mytypes.py -- automatically generated
from typing import TypedDict
MyType = TypedDict('MyType', {'prop': str}) Then you can use the type by importing it: from mytypes import MyType
def create() -> MyType:
return {'prop': 'value'} |
Thanks for the help. I was able to get this to work by manually creating the stub file. So eventually I'll put in the time to create the generation script. |
I had the same need and ended up writing a quick and dirty generator some time ago. I've cleaned it up a bit and uploaded it here: https://github.com/emerentius/typed_dict_generator . |
This commit will enable mypy strict mode, and update code accordingly. Type annotations are not used at runtime. The standard library `typing` module includes a `TYPE_CHECKING` constant that is `False` at runtime, but `True` when conducting static type checking prior to runtime. Type imports will be included under `if TYPE_CHECKING:` conditions. These conditions will be ignored when calculating test coverage. https://docs.python.org/3/library/typing.html The Python standard library `logging.config` module uses type stubs. The typeshed types for the `logging.config` module are used solely for type-checking usage of the `logging.config` module itself. They cannot be imported and used to type annotate other modules. For this reason, dict config types will be vendored into a module in the inboard package. https://github.com/python/typeshed/blob/main/stdlib/logging/config.pyi The ASGI application in `inboard.app.main_base` will be updated to ASGI3 and type-annotated with `asgiref.typing`. Note that, while Uvicorn uses `asgiref.typing`, Starlette does not. The type signature expected by the Starlette/FastAPI `TestClient` therefore does not match `asgiref.typing.ASGIApplication`. A mypy `type: ignore[arg-type]` comment will be used to resolve this difference. https://asgi.readthedocs.io/en/stable/specs/main.html Also note that, while the `asgiref` package was a runtime dependency of Uvicorn 0.17.6, it was later removed from Uvicorn's runtime dependencies in 0.18.0 (encode/uvicorn#1305, encode/uvicorn#1532). However, `asgiref` is still used to type-annotate Uvicorn, so any downstream projects like inboard that type-check Uvicorn objects must also install `asgiref`. Therefore, `asgiref` will be added to inboard's development dependencies to ensure that type checking continues to work as expected. A Uvicorn options type will be added to a new inboard types module. The Uvicorn options type will be a `TypedDict` with fields corresponding to arguments to `uvicorn.run`. This type can be used to check arguments passed to `uvicorn.run`, which is how `inboard.start` runs Uvicorn. Uvicorn 0.17.6 is not fully type-annotated, and Uvicorn does not ship with a `py.typed` marker file until 0.19.0. It would be convenient to generate types dynamically with something like `getattr(uvicorn.run, "__annotations__")` (Python 3.9 or earlier) or `inspect.get_annotations(uvicorn.run)` (Python 3.10 or later). https://docs.python.org/3/howto/annotations.html It could look something like this: ```py UvicornOptions = TypedDict( # type: ignore[misc] "UvicornOptions", inspect.get_annotations(uvicorn.run), total=False, ) ``` Note the `type: ignore[misc]` comment. Mypy raises a `misc` error: `TypedDict() expects a dictionary literal as the second argument`. Unfortunately, `TypedDict` types are not intended to be generated dynamically, because they exist for the benefit of static type checking (python/mypy#3932, python/mypy#4128, python/mypy#13940). Furthermore, prior to Uvicorn 0.18.0, `uvicorn.run()` didn't enumerate keyword arguments, but instead accepted `kwargs` and passed them to `uvicorn.Config.__init__()` (encode/uvicorn#1423). The annotations from `uvicorn.Config.__init__()` would need to be used instead. Even after Uvicorn 0.18.0, the signatures of the two functions are not exactly the same (encode/uvicorn#1545), so it helps to have a static type defined. There will be some other differences from `uvicorn.run()`: - The `app` argument to `uvicorn.run()` accepts an un-parametrized `Callable` because Uvicorn tests use callables (encode/uvicorn#1067). It is not necessary for other packages to accept `Callable`, and it would need to be parametrized to pass mypy strict mode anyway. For these reasons, `Callable` will not be accepted in this type. - The `log_config` argument will use the new inboard dict config type instead of `dict[str, Any]` for stricter type checking.
For my use case, I am working with a schema language that is different from TypedDict's but contains similar information. I have a function that can convert the schema to the correct format. How can I then create the TypedDict for use in other files?
See example below.
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