feat: ж/д слой + cant_swim в скоринг + профили вне модели
Определение специфических рекомендаций (матрица профилей §8):
1. Ж/д слой (закрыт мёртвый railway ×2.5 у РАС):
- /api/v1/water/{case_id} отдаёт railway=rail как LineString
(без service/industrial/military веток), кэш общий v2;
- railway_warning «перекрыть/проверить немедленно» по профилям;
- SearchMap: Polyline слой ж/д (тёмно-красный), счётчики 💧/🚂.
2. cant_swim → профиль не_умеет_плавать (water ×3.0, без изменения
радиуса, critical_warning «обследовать водоёмы НЕМЕДЛЕННО»):
- раньше чекбокс влиял только на текст, в скоринге был пробел;
- derive в analyze._derive_profiles — работает и для closed_cases.
3. unmodeled_profiles: ДЦП/слабое зрение/слух — честная пометка
«вне поведенческой модели» с пояснением (vector_tasks B12:
профили без аналога не выдавать за учтённые); блок на фронте
в карточке здоровья.
Площадь воды: сферический эксцесс, проверен на квадрате 53° (744017 м²
vs 743272 точного). Тесты: 202 passed (новый test_cant_swim_profile).
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Metadata-Version: 2.4
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Name: annotated-doc
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Version: 0.0.5
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Summary: Document parameters, class attributes, return types, and variables inline, with Annotated.
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Author-Email: =?utf-8?q?Sebasti=C3=A1n_Ram=C3=ADrez?= <tiangolo@gmail.com>
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License-Expression: MIT
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License-File: LICENSE
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Classifier: Intended Audience :: Information Technology
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Classifier: Intended Audience :: System Administrators
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Classifier: Operating System :: OS Independent
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Classifier: Programming Language :: Python :: 3
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Classifier: Programming Language :: Python
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Classifier: Topic :: Internet
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Classifier: Topic :: Software Development :: Libraries :: Application Frameworks
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Classifier: Topic :: Software Development :: Libraries :: Python Modules
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Classifier: Topic :: Software Development :: Libraries
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Classifier: Topic :: Software Development
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Classifier: Typing :: Typed
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Classifier: Development Status :: 4 - Beta
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Classifier: Intended Audience :: Developers
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Classifier: Programming Language :: Python :: 3 :: Only
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Classifier: Programming Language :: Python :: 3.9
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Classifier: Programming Language :: Python :: 3.10
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Classifier: Programming Language :: Python :: 3.11
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Classifier: Programming Language :: Python :: 3.12
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Classifier: Programming Language :: Python :: 3.13
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Classifier: Programming Language :: Python :: 3.14
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Project-URL: Homepage, https://github.com/fastapi/annotated-doc
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Project-URL: Documentation, https://github.com/fastapi/annotated-doc
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Project-URL: Repository, https://github.com/fastapi/annotated-doc
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Project-URL: Issues, https://github.com/fastapi/annotated-doc/issues
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Project-URL: Changelog, https://github.com/fastapi/annotated-doc/release-notes.md
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Requires-Python: >=3.9
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Description-Content-Type: text/markdown
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# Annotated Doc
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Document parameters, class attributes, return types, and variables inline, with `Annotated`.
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<a href="https://github.com/fastapi/annotated-doc/actions?query=workflow%3ATest+event%3Apush+branch%3Amain" target="_blank">
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<img src="https://github.com/fastapi/annotated-doc/actions/workflows/test.yml/badge.svg?event=push&branch=main" alt="Test">
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</a>
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<a href="https://coverage-badge.samuelcolvin.workers.dev/redirect/fastapi/annotated-doc" target="_blank">
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<img src="https://coverage-badge.samuelcolvin.workers.dev/fastapi/annotated-doc.svg" alt="Coverage">
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</a>
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<a href="https://pypi.org/project/annotated-doc" target="_blank">
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<img src="https://img.shields.io/pypi/v/annotated-doc?color=%2334D058&label=pypi%20package" alt="Package version">
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</a>
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<a href="https://pypi.org/project/annotated-doc" target="_blank">
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<img src="https://img.shields.io/pypi/pyversions/annotated-doc.svg?color=%2334D058" alt="Supported Python versions">
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</a>
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## Installation
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```bash
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pip install annotated-doc
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```
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Or with `uv`:
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```Python
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uv add annotated-doc
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```
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## Usage
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Import `Doc` and pass a single literal string with the documentation for the specific parameter, class attribute, return type, or variable.
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For example, to document a parameter `name` in a function `hi` you could do:
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```Python
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from typing import Annotated
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from annotated_doc import Doc
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def hi(name: Annotated[str, Doc("Who to say hi to")]) -> None:
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print(f"Hi, {name}!")
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```
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You can also use it to document class attributes:
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```Python
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from typing import Annotated
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from annotated_doc import Doc
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class User:
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name: Annotated[str, Doc("The user's name")]
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age: Annotated[int, Doc("The user's age")]
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```
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The same way, you could document return types and variables, or anything that could have a type annotation with `Annotated`.
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## Who Uses This
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`annotated-doc` was made for:
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* [FastAPI](https://fastapi.tiangolo.com/)
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* [Typer](https://typer.tiangolo.com/)
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* [SQLModel](https://sqlmodel.tiangolo.com/)
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* [Asyncer](https://asyncer.tiangolo.com/)
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`annotated-doc` is supported by [griffe-typingdoc](https://github.com/mkdocstrings/griffe-typingdoc), which powers reference documentation like the one in the [FastAPI Reference](https://fastapi.tiangolo.com/reference/).
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## Reasons not to use `annotated-doc`
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You are already comfortable with one of the existing docstring formats, like:
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* Sphinx
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* numpydoc
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* Google
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* Keras
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Your team is already comfortable using them.
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You prefer having the documentation about parameters all together in a docstring, separated from the code defining them.
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You care about a specific set of users, using one specific editor, and that editor already has support for the specific docstring format you use.
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## Reasons to use `annotated-doc`
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* No micro-syntax to learn for newcomers, it’s **just Python** syntax.
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* **Editing** would be already fully supported by default by any editor (current or future) supporting Python syntax, including syntax errors, syntax highlighting, etc.
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* **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.
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* **Deduplication of information**: the name of a parameter would be defined in a single place, not duplicated inside of a docstring.
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* **Elimination** of the possibility of having **inconsistencies** when removing a parameter or class variable and **forgetting to remove** its documentation.
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* **Minimization** of the probability of adding a new parameter or class variable and **forgetting to add its documentation**.
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* **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.
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* **Access** to the documentation string for each symbol at **runtime**, including existing (older) Python versions.
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* A more formalized way to document other symbols, like type aliases, that could use Annotated.
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* **Support** for apps using FastAPI, Typer and others.
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* **AI Accessibility**: AI tools will have an easier way understanding each parameter as the distance from documentation to parameter is much closer.
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## History
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I ([@tiangolo](https://github.com/tiangolo)) originally wanted for this to be part of the Python standard library (in [PEP 727](https://peps.python.org/pep-0727/)), but the proposal was withdrawn as there was a fair amount of negative feedback and opposition.
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The conclusion was that this was better done as an external effort, in a third-party library.
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So, here it is, with a simpler approach, as a third-party library, in a way that can be used by others, starting with FastAPI and friends.
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## License
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This project is licensed under the terms of the MIT license.
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