PEP: 727 Title: Documentation in Annotated Metadata Author: Sebastián Ramírez Sponsor: Jelle Zijlstra Discussions-To: https://discuss.python.org/t/32566 Status: Draft Type: Standards Track Topic: Typing Content-Type: text/x-rst Created: 28-Aug-2023 Python-Version: 3.13 Post-History: `30-Aug-2023 `__ Abstract ======== This PEP proposes a standardized way to provide documentation strings for Python symbols defined with :py:class:`~typing.Annotated` using a new class ``typing.Doc``. Motivation ========== There's already a well-defined way to provide documentation for classes, functions, class methods, and modules: using docstrings. Currently there is no formalized standard to provide documentation strings for other types of symbols: parameters, return values, class-scoped variables (class variables and instance variables), local variables, and type aliases. Nevertheless, to allow documenting most of these additional symbols, several conventions have been created as microsyntaxes inside of docstrings, and are currently commonly used: Sphinx, numpydoc, Google, Keras, etc. There are two scenarios in which these conventions would be supported by tools: for authors, while **editing** the contents of the documentation strings and for users, while **rendering** that content in some way (in documentation sites, tooltips in editors, etc). Because each of these conventions uses a microsyntax inside a string, when **editing** those docstrings, editors can't easily provide support for autocompletion, inline errors for broken syntax, etc. Any type of **editing** support for these conventions would be on top of the support for editing standard Python syntax. When documenting parameters with current conventions, because the docstring is in a different place in the code than the actual parameters and it requires duplication of information (the parameter name) the information about a parameter is easily in a place in the code quite far away from the declaration of the actual parameter and it is disconnected from it. This means it's easy to refactor a function, remove a parameter, and forget to remove its docs. The same happens when adding a new parameter: it's easy to forget to add the docstring for it. And because of this same duplication of information (the parameter name) editors and other tools need complex custom logic to check or ensure the consistency of the parameters in the signature and in their docstring, or they simply don't fully support that. As these existing conventions are different types of microsyntaxes inside of strings, robustly parsing them for **rendering** requires complex logic that needs to be implemented by the tools supporting them. Additionally, libraries and tools don't have a straightforward way to obtain the documentation for each individual parameter or variable at runtime, without depending on a specific docstring convention parser. Accessing the parameter documentation strings at runtime would be useful, for example, for testing the contents of each parameter's documentation, to ensure consistency across several similar functions, or to extract and expose that same parameter documentation in some other way (e.g. an API with FastAPI, a CLI with Typer, etc). Some of these previous formats tried to account for the lack of type annotations in older Python versions by including typing information in the docstrings (e.g. `Sphinx `__, `numpydoc `__) but now that information doesn't need to be in docstrings as there is now an official :pep:`syntax for type annotations <484>`. Rationale ========= This proposal intends to address these shortcomings by extending and complementing the information in docstrings, keeping backwards compatibility with existing docstrings (it doesn't deprecate them), and doing it in a way that leverages the Python language and structure, via type annotations with :py:class:`~typing.Annotated`, and a new class ``Doc`` in ``typing``. The reason why this would belong in the standard Python library instead of an external package is because although the implementation would be quite trivial, the actual power and benefit from it would come from being a standard, to facilitate its usage from library authors and to provide a default way to document Python symbols using :py:class:`~typing.Annotated`. Some tool providers (at least VS Code and PyCharm) have shown they would consider implementing support for this only if it was a standard. This doesn't deprecate current usage of docstrings, docstrings should be considered the preferred documentation method when available (not available in type aliases, parameters, etc). And docstrings would be complemented by this proposal for documentation specific to the symbols that can be declared with :py:class:`~typing.Annotated` (currently only covered by the several available microsyntax conventions). This should be relatively transparent to common developers (library users) unless they manually open the source files from libraries adopting it. It should be considered opt-in for library authors who would like to adopt it and they should be free to decide to use it or not. It would be only useful for libraries that are willing to use optional type hints. Summary ------- Here's a short summary of the features of this proposal in contrast to current conventions: * **Editing** would be already fully supported by default by any editor (current or future) supporting Python syntax, including syntax errors, syntax highlighting, etc. * **Rendering** would be relatively straightforward to implement by static tools (tools that don't need runtime execution), as the information can be extracted from the AST they normally already create. * Deduplication of information: the name of a parameter would be defined in a single place, not duplicated inside of a docstring. * Elimination of the possibility of having inconsistencies when removing a parameter or class variable and forgetting to remove its documentation. * Minimization of the probability of adding a new parameter or class variable and forgetting to add its documentation. * Elimination of the possibility of having inconsistencies between the name of a parameter in the signature and the name in the docstring when it is renamed. * Reuse of documentation for symbols used in multiple places via type aliases. * Access to the documentation string for each symbol at runtime, including existing (older) Python versions. * No microsyntax to learn for newcomers, it's just Python syntax. * Parameter documentation inheritance for functions captured by :py:class:`~typing.ParamSpec`. Specification ============= The main proposal is to introduce a new class, ``typing.Doc``. This class should only be used within :py:class:`~typing.Annotated` annotations. It takes a single positional-only string argument. It should be used to document the intended meaning and use of the symbol declared using :py:class:`~typing.Annotated`. For example: .. code:: python from typing import Annotated, Doc class User: name: Annotated[str, Doc("The user's name")] age: Annotated[int, Doc("The user's age")] ... :py:class:`~typing.Annotated` is normally used as a type annotation, in those cases, any ``typing.Doc`` inside of it would document the symbol being annotated. When :py:class:`~typing.Annotated` is used to declare a type alias and that type alias is used in an annotation, ``typing.Doc`` would document the symbol being annotated instead of exclusively the type alias. For example: .. code:: python from typing import Annotated, Doc, TypeAlias UserName: TypeAlias = Annotated[str, Doc("The user's name")] def create_user(name: UserName): ... def delete_user(name: UserName): ... When a type alias is put inside of :py:class:`~typing.Annotated` and it has a ``typing.Doc``, the last one used (the top-most) takes precedence, this allows overriding the documentation. For example: .. code:: python from typing import Annotated, Doc, TypeAlias UserName: TypeAlias = Annotated[str, Doc("The user's name")] def create_user(name: UserName): ... def delete_user(name: Annotated[UserName, Doc("The user to delete")]): ... In this case, for the ``name`` parameter in ``delete_user()``, the documentation string would be ``"The user to delete"``. For tools extracting the information at runtime, they would normally use :py:func:`~typing.get_type_hints` with the parameter ``include_extras=True``, and as :py:class:`~typing.Annotated` is normalized (even with type aliases), this would mean they should use the last ``typing.Doc`` available, as that is the last one used. At runtime, ``typing.Doc`` instances have an attribute ``documentation`` with the string passed to it. When a type alias is used on its own, without annotating any additional symbol, ``typing.Doc`` documents the type alias itself. This would be useful if the type alias is included on its own in documentation systems or if it's used directly in some way, to show tooltips in editors. When a function's signature is captured by a :py:class:`~typing.ParamSpec`, any documentation strings associated with the parameters should be retained. Any tool processing ``typing.Doc`` objects should interpret the string as a docstring, and therefore should normalize whitespace as if ``inspect.cleandoc()`` were used. The string passed to ``typing.Doc`` should be of the form that would be a valid docstring. This means that `f-strings`__ and string operations should not be used. As this cannot be enforced by the Python runtime, tools should not rely on this behavior. When tools providing **rendering** show the raw signature, they could allow configuring if the whole raw :py:class:`~typing.Annotated` code should be displayed, but they should default to not include :py:class:`~typing.Annotated` and its internal code metadata, only the type of the symbols annotated. When those tools support ``typing.Doc`` and rendering in other ways than just a raw signature, they should show the string value passed to ``typing.Doc`` in a convenient way that shows the relation between the documented symbol and the documentation string. Tools providing **rendering** could allow ways to configure where to show the parameter documentation and the prose docstring in different ways. Otherwise, they could simply show the prose docstring first and then the parameter documentation second. __ https://docs.python.org/3/reference/lexical_analysis.html#formatted-string-literals Examples -------- Class attributes may be documented: .. code:: python from typing import Annotated, Doc class User: name: Annotated[str, Doc("The user's name")] age: Annotated[int, Doc("The user's age")] ... As can function or method parameters and return values: .. code:: python from typing import Annotated, Doc def create_user( name: Annotated[str, Doc("The user's name")], age: Annotated[int, Doc("The user's age")], cursor: DatabaseConnection | None = None, ) -> Annotated[User, Doc("The created user after saving in the database")]: """Create a new user in the system. It needs the database connection to be already initialized. """ pass Backwards Compatibility ======================= This proposal is fully backwards compatible with existing code and it doesn't deprecate existing usage of docstring conventions. For developers that wish to adopt it before it is available in the standard library, or to support older versions of Python, they can use ``typing_extensions`` and import and use ``Doc`` from there. For example: .. code:: python from typing import Annotated from typing_extensions import Doc class User: name: Annotated[str, Doc("The user's name")] age: Annotated[int, Doc("The user's age")] ... Security Implications ===================== There are no known security implications. How to Teach This ================= The main mechanism of documentation should continue to be standard docstrings for prose information, this applies to modules, classes, functions and methods. For authors that want to adopt this proposal to add more granularity, they can use ``typing.Doc`` inside of :py:class:`~typing.Annotated` annotations for the symbols that support it. Library authors that wish to adopt this proposal while keeping backwards compatibility with older versions of Python should use ``typing_extensions.Doc`` instead of ``typing.Doc``. Reference Implementation ======================== ``typing.Doc`` is implemented equivalently to: .. code:: python class Doc: def __init__(self, documentation: str, /): self.documentation = documentation It has been implemented in the `typing_extensions`__ package. __ https://pypi.org/project/typing-extensions/ Survey of Other languages ========================= Here's a short survey of how other languages document their symbols. Java ---- Java functions and their parameters are documented with `Javadoc `__, a special format for comments put on top of the function definition. This would be similar to Python current docstring microsyntax conventions (but only one). For example: .. code:: java /** * Returns an Image object that can then be painted on the screen. * The url argument must specify an absolute {@link URL}. The name * argument is a specifier that is relative to the url argument. *

* This method always returns immediately, whether or not the * image exists. When this applet attempts to draw the image on * the screen, the data will be loaded. The graphics primitives * that draw the image will incrementally paint on the screen. * * @param url an absolute URL giving the base location of the image * @param name the location of the image, relative to the url argument * @return the image at the specified URL * @see Image */ public Image getImage(URL url, String name) { try { return getImage(new URL(url, name)); } catch (MalformedURLException e) { return null; } } JavaScript ---------- Both JavaScript and TypeScript use a similar system to Javadoc. JavaScript uses `JSDoc `__. For example: .. code:: javascript /** * Represents a book. * @constructor * @param {string} title - The title of the book. * @param {string} author - The author of the book. */ function Book(title, author) { } TypeScript ---------- TypeScript has `its own JSDoc reference `__ with some variations. For example: .. code:: typescript // Parameters may be declared in a variety of syntactic forms /** * @param {string} p1 - A string param. * @param {string=} p2 - An optional param (Google Closure syntax) * @param {string} [p3] - Another optional param (JSDoc syntax). * @param {string} [p4="test"] - An optional param with a default value * @returns {string} This is the result */ function stringsStringStrings(p1, p2, p3, p4) { // TODO } Rust ---- Rust uses another similar variation of a microsyntax in `Doc comments `__. But it doesn't have a particular well defined microsyntax structure to denote what documentation refers to what symbol/parameter other than what can be inferred from the pure Markdown. For example: .. code:: rust #![crate_name = "doc"] /// A human being is represented here pub struct Person { /// A person must have a name, no matter how much Juliet may hate it name: String, } impl Person { /// Returns a person with the name given them /// /// # Arguments /// /// * `name` - A string slice that holds the name of the person /// /// # Examples /// /// ``` /// // You can have rust code between fences inside the comments /// // If you pass --test to `rustdoc`, it will even test it for you! /// use doc::Person; /// let person = Person::new("name"); /// ``` pub fn new(name: &str) -> Person { Person { name: name.to_string(), } } /// Gives a friendly hello! /// /// Says "Hello, [name](Person::name)" to the `Person` it is called on. pub fn hello(& self) { println!("Hello, {}!", self.name); } } fn main() { let john = Person::new("John"); john.hello(); } Go Lang ------- Go also uses a form of `Doc Comments `__. It doesn't have a well defined microsyntax structure to denote what documentation refers to which symbol/parameter, but parameters can be referenced by name without any special syntax or marker, this also means that ordinary words that could appear in the documentation text should be avoided as parameter names. .. code:: go package strconv // Quote returns a double-quoted Go string literal representing s. // The returned string uses Go escape sequences (\t, \n, \xFF, \u0100) // for control characters and non-printable characters as defined by IsPrint. func Quote(s string) string { ... } Rejected Ideas ============== Standardize Current Docstrings ------------------------------ A possible alternative would be to support and try to push as a standard one of the existing docstring formats. But that would only solve the standardization. It wouldn't solve any of the other problems derived from using a microsyntax inside of a docstring instead of pure Python syntax, the same as described above in the **Rationale - Summary**. Extra Metadata and Decorator ---------------------------- Some ideas before this proposal included having a function ``doc()`` instead of the single class ``Doc`` with several parameters to indicate whether an object is discouraged from use, what exceptions it may raise, etc. To allow also deprecating functions and classes, it was also expected that ``doc()`` could be used as a decorator. But this functionality is covered by ``typing.deprecated()`` in :pep:`702`, so it was dropped from this proposal. A way to declare additional information could still be useful in the future, but taking early feedback on this idea, all that was postponed to future proposals. This also shifted the focus from an all-encompassing function ``doc()`` with multiple parameters to a single ``Doc`` class to be used in :py:class:`~typing.Annotated` in a way that could be composed with other future proposals. This design change also allows better interoperability with other proposals like ``typing.deprecated()``, as in the future it could be considered to allow having ``typing.deprecated()`` also in :py:class:`~typing.Annotated` to deprecate individual parameters, coexisting with ``Doc``. String Under Definition ----------------------- A proposed alternative in the discussion is declaring a string under the definition of a symbol and providing runtime access to those values: .. code:: python class User: name: str "The user's name" age: int "The user's age" ... This was already proposed and rejected in :pep:`224`, mainly due to the ambiguity of how is the string connected with the symbol it's documenting. Additionally, there would be no way to provide runtime access to this value in previous versions of Python. Plain String in Annotated ------------------------- In the discussion, it was also suggested to use a plain string inside of :py:class:`~typing.Annotated`: .. code:: python from typing import Annotated class User: name: Annotated[str, "The user's name"] age: Annotated[int, "The user's age"] ... But this would create a predefined meaning for any plain string inside of :py:class:`~typing.Annotated`, and any tool that was using plain strings in them for any other purpose, which is currently allowed, would now be invalid. Having an explicit ``typing.Doc`` makes it compatible with current valid uses of :py:class:`~typing.Annotated`. Another Annotated-Like Type --------------------------- In the discussion it was suggested to define a new type similar to :py:class:`~typing.Annotated`, it would take the type and a parameter with the documentation string: .. code:: python from typing import Doc class User: name: Doc[str, "The user's name"] age: Doc[int, "The user's age"] ... This idea was rejected as it would only support that use case and would make it more difficult to combine it with :py:class:`~typing.Annotated` for other purposes ( e.g. with FastAPI metadata, Pydantic fields, etc.) or adding additional metadata apart from the documentation string (e.g. deprecation). Open Issues =========== Verbosity --------- The main argument against this would be the increased verbosity. If the signature was not viewed independently of the documentation and the body of the function with the docstring was also measured, the total verbosity would be somewhat similar, as what this proposal does is to move some of the contents from the docstring in the body to the signature. Considering the signature alone, without the body, they could be much longer than they currently are, they could end up being more than one page long. In exchange, the equivalent docstrings that currently are more than one page long would be much shorter. When comparing the total verbosity, including the signature and the docstring, the main additional verbosity added by this would be from using :py:class:`~typing.Annotated` and ``typing.Doc``. If :py:class:`~typing.Annotated` had more usage, it could make sense to have an improved shorter syntax for it and for the type of metadata it would carry. But that would only make sense once :py:class:`~typing.Annotated` is more widely used. On the other hand, this verbosity would not affect end users as they would not see the internal code using ``typing.Doc``. The majority of users would interact with libraries through editors without looking at the internals, and if anything, they would have tooltips from editors supporting this proposal. The cost of dealing with the additional verbosity would mainly be carried by those library maintainers that use this feature. This argument could be analogous to the argument against type annotations in general, as they do indeed increase verbosity, in exchange for their features. But again, as with type annotations, this would be optional and only to be used by those that are willing to take the extra verbosity in exchange for the benefits. Additionally, if type aliases were used, documentation could be put outside of the signature and the docstring, reducing the total verbosity of the signature and the function body. Of course, more advanced users might want to look at the source code of the libraries and if the authors of those libraries adopted this, those advanced users would end up having to look at that code with additional signature verbosity instead of docstring verbosity. Any authors that decide not to adopt it should be free to continue using docstrings with any particular format they decide, no docstrings at all, etc. Still, there's a high chance that library authors could receive pressure to adopt this if it became the blessed solution. Documentation is not Typing --------------------------- It could also be argued that documentation is not really part of typing, or that it should live in a different module. Or that this information should not be part of the signature but live in another place (like the docstring). Nevertheless, type annotations in Python could already be considered, by default, additional metadata: they carry additional information about variables, parameters, return types, and by default they don't have any runtime behavior. And this proposal would add one more type of metadata to them. It could be argued that this proposal extends the type of information that type annotations carry, the same way as :pep:`702` extends them to include deprecation information. :py:class:`~typing.Annotated` was added to the standard library precisely to support adding additional metadata to the annotations, and as the new proposed ``Doc`` class is tightly coupled to :py:class:`~typing.Annotated`, it makes sense for it to live in the same module. If :py:class:`~typing.Annotated` was moved to another module, it would make sense to move ``Doc`` with it. Multiple Standards ------------------ Another argument against this would be that it would create another standard, and that there are already several conventions for docstrings. It could seem better to formalize one of the currently existing standards. Nevertheless, as stated above, none of those conventions cover the general drawbacks of a doctsring-based approach that this proposal solves naturally. To see a list of the drawbacks of a docstring-based approach, see the section above in the **Rationale - Summary**. In the same way, it can be seen that, in many cases, a new standard that takes advantage of new features and solves several problems from previous methods can be worth having. As is the case with the new ``pyproject.toml``, ``dataclass_transform``, the new typing pipe/union (``|``) operator, and other cases. Adoption -------- As this is a new standard proposal, it would only make sense if it had interest from the community. Fortunately there's already interest from several mainstream libraries from several developers and teams, including FastAPI, Typer, SQLModel, Asyncer (from the author of this proposal), Pydantic, Strawberry (GraphQL), and others. There's also interest and support from documentation tools, like `mkdocstrings `__, which added support even for an earlier version of this proposal. All the CPython core developers contacted for early feedback (at least 4) have shown interest and support for this proposal. Editor developers (VS Code and PyCharm) have shown some interest, while showing concerns about the signature verbosity of the proposal, although not about the implementation (which is what would affect them the most). And they have shown they would consider adding support for this if it were to become an official standard. In that case, they would only need to add support for rendering, as support for editing, which is normally non-existing for other standards, is already there, as they already support editing standard Python syntax. Copyright ========= This document is placed in the public domain or under the CC0-1.0-Universal license, whichever is more permissive.