diff --git a/.github/FUNDING.yml b/.github/FUNDING.yml new file mode 100644 index 0000000..e3d0f3b --- /dev/null +++ b/.github/FUNDING.yml @@ -0,0 +1 @@ +github: DanCardin diff --git a/.github/workflows/release.yml b/.github/workflows/release.yml new file mode 100644 index 0000000..884ff3e --- /dev/null +++ b/.github/workflows/release.yml @@ -0,0 +1,37 @@ +name: Github Release/Publish PyPi + +on: + push: + tags: + - "v*.*.*" + +jobs: + gh-release: + runs-on: ubuntu-latest + steps: + - name: Checkout + uses: actions/checkout@v1 + - name: Release + uses: softprops/action-gh-release@v1 + with: + generate_release_notes: true + + pypi-publish: + name: Upload release to PyPI + runs-on: ubuntu-latest + environment: + name: pypi + url: https://pypi.org/p/cappa + permissions: + id-token: write # IMPORTANT: this permission is mandatory for trusted publishing + steps: + - name: Install poetry + uses: abatilo/actions-poetry@v2.0.0 + with: + poetry-version: 1.2.2 + - name: Checkout + uses: actions/checkout@v1 + - name: Build dist + run: poetry build + - name: Publish package distributions to PyPI + uses: pypa/gh-action-pypi-publish@release/v1 diff --git a/.github/workflows/test.yml b/.github/workflows/test.yml new file mode 100644 index 0000000..028e7cf --- /dev/null +++ b/.github/workflows/test.yml @@ -0,0 +1,78 @@ +name: Test + +on: + pull_request: + branches: + - main + push: + branches: + - main + +concurrency: + group: ${{ github.workflow }}-${{ github.ref }} + cancel-in-progress: true + +jobs: + test: + runs-on: ubuntu-latest + strategy: + fail-fast: false + matrix: + python-version: ["3.8", "3.9", "3.10", "3.11", "3.12"] + + steps: + - uses: actions/checkout@v3 + - name: Set up Python + uses: actions/setup-python@v4 + with: + python-version: ${{ matrix.python-version }} + architecture: x64 + allow-prereleases: true + + - name: Install poetry + uses: abatilo/actions-poetry@v2.0.0 + with: + poetry-version: 1.2.2 + + - name: Set up cache + uses: actions/cache@v3 + with: + path: ~/.cache/pypoetry/virtualenvs + key: venv-${{ runner.os }}-${{ matrix.python-version }}-${{ hashFiles('**/poetry.lock') }} + restore-keys: | + ${{ runner.os }}-poetry- + + - name: Install dependencies + run: make install + + - name: Run Linters + run: poetry run make lint + + - name: Run tests + run: poetry run make test + + - name: Store test result artifacts + uses: actions/upload-artifact@v3 + with: + path: coverage.xml + + - name: Coveralls + env: + COVERALLS_FLAG_NAME: run-${{ inputs.working-directory }} + GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }} + COVERALLS_PARALLEL: true + run: | + pip install tomli coveralls + coveralls --service=github + + finish: + needs: + - test + runs-on: ubuntu-latest + steps: + - name: Coveralls Finished + env: + GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }} + run: | + pip install tomli coveralls + coveralls --service=github --finish diff --git a/.gitignore b/.gitignore new file mode 100644 index 0000000..c24f1d3 --- /dev/null +++ b/.gitignore @@ -0,0 +1,7 @@ +.coverage* +coverage.xml +*.pyc + +**/__pycache__/ +docs/build/ +dist/ diff --git a/.readthedocs.yml b/.readthedocs.yml new file mode 100644 index 0000000..aa2100e --- /dev/null +++ b/.readthedocs.yml @@ -0,0 +1,11 @@ +version: 2 + +build: + os: ubuntu-20.04 + tools: + python: "3.9" + +python: + install: + - method: pip + path: docs diff --git a/LICENSE b/LICENSE new file mode 100644 index 0000000..261eeb9 --- /dev/null +++ b/LICENSE @@ -0,0 +1,201 @@ + Apache License + Version 2.0, January 2004 + http://www.apache.org/licenses/ + + TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION + + 1. 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We also recommend that a + file or class name and description of purpose be included on the + same "printed page" as the copyright notice for easier + identification within third-party archives. + + Copyright [yyyy] [name of copyright owner] + + Licensed under the Apache License, Version 2.0 (the "License"); + you may not use this file except in compliance with the License. + You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + + Unless required by applicable law or agreed to in writing, software + distributed under the License is distributed on an "AS IS" BASIS, + WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + See the License for the specific language governing permissions and + limitations under the License. diff --git a/Makefile b/Makefile new file mode 100644 index 0000000..59880e8 --- /dev/null +++ b/Makefile @@ -0,0 +1,25 @@ +.PHONY: install test lint format build publish + +PACKAGE_VERSION = $(shell python -c 'import importlib.metadata; print(importlib.metadata.version("responsaas"))') + +install: + poetry install + +test: + coverage run -m pytest src tests + coverage combine + coverage report + coverage xml + +lint: + ruff src tests || exit 1 + mypy src tests || exit 1 + black --check --diff src tests || exit 1 + +format: + ruff --fix src tests + black src tests + +readme-image: + FORCE_COLOR=true python readme.py --help | ansitoimg --title '' docs/source/_static/example.svg + diff --git a/README.md b/README.md new file mode 100644 index 0000000..3938e79 --- /dev/null +++ b/README.md @@ -0,0 +1,147 @@ +# dataclass-settings + +[![Actions Status](https://github.com/DanCardin/dataclass-settings/actions/workflows/test.yml/badge.svg)](https://github.com/dancardin/dataclass-settings/actions) +[![Coverage Status](https://coveralls.io/repos/github/DanCardin/dataclass-settings/badge.svg?branch=main)](https://coveralls.io/github/DanCardin/dataclass-settings?branch=main) +[![Documentation Status](https://readthedocs.org/projects/dataclass-settings/badge/?version=latest)](https://dataclass-settings.readthedocs.io/en/latest/?badge=latest) + +- [Full documentation here](https://dataclass-settings.readthedocs.io/en/latest/). + +`dataclass-settings` intends to work with any +[PEP-681](https://peps.python.org/pep-0681/)-compliant dataclass-like object, +including but not limited to: + +- [Pydantic models](https://pydantic-docs.helpmanual.io/), +- [dataclasses](https://docs.python.org/3/library/dataclasses.html) +- [attrs classes](https://www.attrs.org/en/stable/). + +`dataclass-settings` owes its existence +[pydantic-settings](https://github.com/pydantic/pydantic-settings), in that +pydantic-settings will be a benchmark for `dataclass-settings`'s featureset. +However it was bourne out of frustration with pydantic-setting's approach to +implementing that featureset. + +## Example + +```python +from __future__ import annotations +from dataclass_settings import load_settings, Env, Secret +from pydantic import BaseModel + + +class Example(BaseModel): + env: Annotated[str, Env("ENVIRONMENT")] = "local" + dsn: Annotated[str, Env("DSN"), Secret('dsn')] = "dsn://" + + sub_config: SubConfig + + +class SubConfig(BaseModel): + nested: Annotated[int, Env("NESTED")] = "4" + + +example: Example = load_settings(Example) + +# or, if you want `nested` to be `SUB_CONFIG_NESTED` +example: Example = load_settings(Example, nested_delimiter='_') +``` + +## vs Pydantic Settings + +### Simplicity + +- `pydantic-settings` alters how you go about defining your normal pydantic + models. You need to switch (some of the) base classes, you need to configure + the magical `model_config = SettingsConfigDict(...)` object, etc. + + The model becomes inherently entangled with the settings-loading library. + +- `dataclass-settings` attaches targeted Annotations metadata to a vanilla + pydantic model. You can **choose** to not use `load_settings` (for example, in + tests), and construct the model instance however you'd like. + +### Clarity + +- `pydantic-settings` makes it really, really difficult to intuit what the + concrete environment varibale that's going to be loaded for a given field is + **actually** going to be. Based on my own experience, and from perusing their + issue tracker, it seems like this is not an uncommon experience. + + The combination of field name, `SettingsConfigDict` settings, casing, + `alias`/`validation_alias`/`serialization_alias`, and relative position of the + env var in the greater config all contribute to it being a **task** to deduce + which concrete name will be used when loading. + +- `dataclass-settings` by **default** requires an explicit, concrete name, which + maps directly to the value being loaded (`Env('FOO')` loads `FOO`, for sure!) + + If you want to opt into a less explcict, more inferred setup (like + pydantic-settings), you can do so by utilizing the `nested_delimiter='_'` and + `infer_name=True` arguments. + +### Typing + +- `pydantic-settings` does not play **super** well with type checkers, + necessitating the use of a mypy plugin for it to not emit type errors into + user code. + + The code recommended in their documentation for namespacing settingj, looks + like: + + ```python + class Settings(BaseSettings): + more_settings: SubModel = SubModel() + ``` + + This only type-checks with mypy (after using the plugin), but not + pyright/pylance. Additionally, this **actually** evaluates the `SubModel` + constructor during module parsing! + + These issues seem(?) to be inherent to the strategy of subclassing + `BaseModel`, and building in its logic into the object construction process + +- `dataclass-settings` sidesteps this problem by decoupling the definition of + the settings from the loading of settings. + + As such, you're more able to define the model, exactly as you would have with + vanilla pydantic: + + ```python + class Settings(BaseModel): + more_settings: SubModel + ``` + + Internally, the `load_settings` function handles the work of constructing the + requisite input structure pydantic expects to construct the whole object tree. + +### Compatibility + +- `pydantic-settings`'s `BaseSettings` inherits from pydantic's `BaseModel`. And + thus can only function against pydantic models, as the name would imply. + +- `dataclass-settings`'s primary entrypoint is a function that accepts a + supportable type. As such, it can theoretically support any type that has a + well defined object structure, like all of `pydantic`, `dataclasses`, and + `attrs`. + + Practically, `pydantic` has the most robust system for parsing/validating a + json-like structure into the models, so it's probably to be the most flexible + anyways. But for many simple cases, particuarly those without nesting, or that + only deal in simple types (like int, float, str, etc); then dataclasses/attrs + can certainly provide a similar experience. + +### Flexibility + +- At time of writing, `pydantic-settings`'s strategy around "loaders", i.e. + supportable settings sources is relatively inflexible. Their issue tracker + contains a decent number of requests for a more flexible way of defining + settings priorities among different loaders, or even using different settings + from within a loader. + + This, at least, doesn't seem to be an inherent issue to the library + necessarily. Just that at present, their API appears to try to reuse + pydantic's `Field` and `alias` mechanisms to infer the settings for all + loaders. + +- `dataclass-settings` instead annotates each field individually, with the + loaders that field should use. That means you can have different priorities + (or entirely different loaders!) per field. diff --git a/docs/Makefile b/docs/Makefile new file mode 100644 index 0000000..6a5faad --- /dev/null +++ b/docs/Makefile @@ -0,0 +1,23 @@ +# Minimal makefile for Sphinx documentation +# + +# You can set these variables from the command line, and also +# from the environment for the first two. +SPHINXOPTS ?= +SPHINXBUILD ?= sphinx-build +SOURCEDIR = source +BUILDDIR = build + +# Put it first so that "make" without argument is like "make help". +help: + @$(SPHINXBUILD) -M help "$(SOURCEDIR)" "$(BUILDDIR)" $(SPHINXOPTS) $(O) + +.PHONY: help Makefile + +# Catch-all target: route all unknown targets to Sphinx using the new +# "make mode" option. $(O) is meant as a shortcut for $(SPHINXOPTS). +%: Makefile + @$(SPHINXBUILD) -M $@ "$(SOURCEDIR)" "$(BUILDDIR)" $(SPHINXOPTS) $(O) + +autobuild: + sphinx-autobuild source build/html diff --git a/docs/docs/__init__.py b/docs/docs/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/docs/make.bat b/docs/make.bat new file mode 100644 index 0000000..747ffb7 --- /dev/null +++ b/docs/make.bat @@ -0,0 +1,35 @@ +@ECHO OFF + +pushd %~dp0 + +REM Command file for Sphinx documentation + +if "%SPHINXBUILD%" == "" ( + set SPHINXBUILD=sphinx-build +) +set SOURCEDIR=source +set BUILDDIR=build + +%SPHINXBUILD% >NUL 2>NUL +if errorlevel 9009 ( + echo. + echo.The 'sphinx-build' command was not found. Make sure you have Sphinx + echo.installed, then set the SPHINXBUILD environment variable to point + echo.to the full path of the 'sphinx-build' executable. Alternatively you + echo.may add the Sphinx directory to PATH. + echo. + echo.If you don't have Sphinx installed, grab it from + echo.https://www.sphinx-doc.org/ + exit /b 1 +) + +if "%1" == "" goto help + +%SPHINXBUILD% -M %1 %SOURCEDIR% %BUILDDIR% %SPHINXOPTS% %O% +goto end + +:help +%SPHINXBUILD% -M help %SOURCEDIR% %BUILDDIR% %SPHINXOPTS% %O% + +:end +popd diff --git a/docs/poetry.lock b/docs/poetry.lock new file mode 100644 index 0000000..2486a05 --- /dev/null +++ b/docs/poetry.lock @@ -0,0 +1,1071 @@ +# This file is automatically @generated by Poetry 1.5.1 and should not be changed by hand. + +[[package]] +name = "alabaster" +version = "0.7.13" +description = "A configurable sidebar-enabled Sphinx theme" +optional = false +python-versions = ">=3.6" +files = [ + {file = "alabaster-0.7.13-py3-none-any.whl", hash = "sha256:1ee19aca801bbabb5ba3f5f258e4422dfa86f82f3e9cefb0859b283cdd7f62a3"}, + {file = "alabaster-0.7.13.tar.gz", hash = "sha256:a27a4a084d5e690e16e01e03ad2b2e552c61a65469419b907243193de1a84ae2"}, +] + +[[package]] +name = "astroid" +version = "2.15.8" +description = "An abstract syntax tree for Python with inference support." +optional = false +python-versions = ">=3.7.2" +files = [ + {file = "astroid-2.15.8-py3-none-any.whl", hash = "sha256:1aa149fc5c6589e3d0ece885b4491acd80af4f087baafa3fb5203b113e68cd3c"}, + {file = "astroid-2.15.8.tar.gz", hash = "sha256:6c107453dffee9055899705de3c9ead36e74119cee151e5a9aaf7f0b0e020a6a"}, +] + +[package.dependencies] +lazy-object-proxy = ">=1.4.0" +typing-extensions = {version = ">=4.0.0", markers = "python_version < \"3.11\""} +wrapt = [ + {version = ">=1.11,<2", markers = "python_version < \"3.11\""}, + {version = ">=1.14,<2", markers = "python_version >= \"3.11\""}, +] + +[[package]] +name = "babel" +version = "2.12.1" +description = "Internationalization utilities" +optional = false +python-versions = ">=3.7" +files = [ + {file = "Babel-2.12.1-py3-none-any.whl", hash = "sha256:b4246fb7677d3b98f501a39d43396d3cafdc8eadb045f4a31be01863f655c610"}, + {file = "Babel-2.12.1.tar.gz", hash = "sha256:cc2d99999cd01d44420ae725a21c9e3711b3aadc7976d6147f622d8581963455"}, +] + +[[package]] +name = "beautifulsoup4" +version = "4.12.2" +description = "Screen-scraping library" +optional = false +python-versions = ">=3.6.0" +files = [ + {file = "beautifulsoup4-4.12.2-py3-none-any.whl", hash = "sha256:bd2520ca0d9d7d12694a53d44ac482d181b4ec1888909b035a3dbf40d0f57d4a"}, + {file = "beautifulsoup4-4.12.2.tar.gz", hash = "sha256:492bbc69dca35d12daac71c4db1bfff0c876c00ef4a2ffacce226d4638eb72da"}, +] + +[package.dependencies] +soupsieve = ">1.2" + +[package.extras] +html5lib = ["html5lib"] +lxml = ["lxml"] + +[[package]] +name = "certifi" +version = "2023.7.22" +description = "Python package for providing Mozilla's CA Bundle." +optional = false +python-versions = ">=3.6" +files = [ + {file = "certifi-2023.7.22-py3-none-any.whl", hash = "sha256:92d6037539857d8206b8f6ae472e8b77db8058fec5937a1ef3f54304089edbb9"}, + {file = "certifi-2023.7.22.tar.gz", hash = "sha256:539cc1d13202e33ca466e88b2807e29f4c13049d6d87031a3c110744495cb082"}, +] + +[[package]] +name = "charset-normalizer" +version = "3.2.0" +description = "The Real First Universal Charset Detector. 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"jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (<7.2.5)", "sphinx (>=3.5)", "sphinx-lint"] +testing = ["big-O", "jaraco.functools", "jaraco.itertools", "more-itertools", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-ignore-flaky", "pytest-mypy (>=0.9.1)", "pytest-ruff"] + +[metadata] +lock-version = "2.0" +python-versions = "^3.9" +content-hash = "948516e1c2c79c3a4c18403a1d1d7e31ab692386a88c38a95ef554c5f08840ee" diff --git a/docs/pyproject.toml b/docs/pyproject.toml new file mode 100644 index 0000000..2db10e5 --- /dev/null +++ b/docs/pyproject.toml @@ -0,0 +1,27 @@ +[tool.poetry] +name = "docs" +version = "0.1.0" +description = "" +authors = ["Dan Cardin "] + +[tool.poetry.dependencies] +python = "^3.9" + +astroid = "<3" + +furo = "^2022.4.7" +linkify-it-py = "*" +myst-parser = {version = "^0.17.2", extras = ["linkify"]} +sphinx = "^4.5.0" +sphinx-autoapi = "^1.8.4" +sphinx-autobuild = "^2021.3.14" +sphinx-autodoc-typehints = "^1.18.1" +sphinx-copybutton = "*" +sphinx-pyproject = ">=0.3.0" + +[tool.poetry.dev-dependencies] +sphinx-autobuild = "*" + +[build-system] +requires = ["poetry-core>=1.0.0"] +build-backend = "poetry.core.masonry.api" diff --git a/docs/source/_static/.gitkeep b/docs/source/_static/.gitkeep new file mode 100644 index 0000000..e69de29 diff --git a/docs/source/_static/example.svg b/docs/source/_static/example.svg new file mode 100644 index 0000000..da8bb46 --- /dev/null +++ b/docs/source/_static/example.svg @@ -0,0 +1,130 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + Usage: example [--boolean-flag][-sSINGLE_OPTION][--multiple-option +MULTIPLE_OPTION][positional_arg][-h][--completionCOMPLETION] + +Options                               +    [--boolean-flag]                    +    [-sSINGLE_OPTION]                 A number                                 +    [--multiple-optionMULTIPLE_OPTION]Pick one! Valid options: one, two,       +three.                                   + +Arguments                             +    [positional_arg]                    + +Help                                  +    [-h, --help]                       Show this message and exit.              +    [--completionCOMPLETION]          Use `--completion generate` to print     +shell-specific completion source. Valid  +options: generate, complete.             + + + + + diff --git a/docs/source/annotations.md b/docs/source/annotations.md new file mode 100644 index 0000000..d7fe1f5 --- /dev/null +++ b/docs/source/annotations.md @@ -0,0 +1,80 @@ +# Annotations + +`dataclass-settings` loaders evaluated in the order they're found on the +annotation of each field in a supported dataclass-like class. + +## No Annotation + +A field without an annotation is ignored. Such fields must have a class-level +default, or otherwise not be required in the class constructor. + +```python +from pydantic import BaseModel + +class Example(BaseModel): + foo: str = "foo" +``` + +## `Annotated` field + +A field annotated with `typing.Annotated` or `typing_extensions.Annotated` will +be searched for compatible [Loader](dataclass_settings.loaders.Loader) objects. + +Each identified loader will be evaluated in the order they're defined for that +field. The first non-`None` value returned by a loader will end the chain and +that value will be used. + +If no loader returns a non-`None` value, that field will not be sent to the +class's constructor. + +As such, every field that should be allowed to be omitted should have a +class-level default, or otherwise not be required in the class constructor. + +```python +from typing import Annotated +from pydantic import BaseModel +from dataclass_settings import Env, Secret + +class Example(BaseModel): + foo: Annotated[str, Env('FOO'), Secret('foo')] = "foo" +``` + +```{note} +You can use as many `Loader`s as you'd like, even repeating the same loader +more than once! +``` + +## Nested Classes + +A field with a type annotation of a class that is a +[supported kind of class](./class_compatibility.md) will be recursed into, and +evaluated similarly to the root class. + +```python +from __future__ import annotations +from typing import Annotated +from pydantic import BaseModel +from dataclass_settings import Env, Secret + +class Example(BaseModel): + sub_example: SubExample + + +class SubExample(BaseModel): + foo: Annotated[str, Env('FOO')] = "foo" +``` + +````{note} +"Optional class fields" are specifically handled to avoid requiring fields where +they're clearly not intended to be required. + +For example: + +```python +class Example(BaseModel): + sub_example: SubExample | None = None +``` + +In this case, if `SubExample` **cannot** be loaded, then it will be omitted, +and resolved as `None` due to the class-level `None` default. +```` diff --git a/docs/source/api.md b/docs/source/api.md new file mode 100644 index 0000000..a113fdd --- /dev/null +++ b/docs/source/api.md @@ -0,0 +1,20 @@ +# API + +```{eval-rst} +.. autoapimodule:: dataclass_settings + :members: load_settings +``` + +## Loaders + +```{eval-rst} +.. autoapimodule:: dataclass_settings.loaders + :members: Env, Secret, Loader +``` + +## Context + +```{eval-rst} +.. autoapimodule:: dataclass_settings.context + :members: Context +``` diff --git a/docs/source/class_compatibility.md b/docs/source/class_compatibility.md new file mode 100644 index 0000000..20d6c20 --- /dev/null +++ b/docs/source/class_compatibility.md @@ -0,0 +1,35 @@ +# Dataclasses/Pydantic/Attrs + +All of the documentation uses `dataclasses` specifically, because it is built +into the standard library since python 3.7. + +With that said, any dataclass-like class description pattern should be able to +be supported with relatively little effort. Today `dataclass-settings` ships +with adapters for +[dataclasses](https://docs.python.org/3/library/dataclasses.html), +[Pydantic](https://pydantic-docs.helpmanual.io/), and +[attrs](https://www.attrs.org). + +## Pydantic + +Pydantic models will generally be the most well supported and most flexible +option. This stems from the fact that they infer the type parsing of input +values from the annotated types on the fields. + +This also applies to pydantic's `dataclasses` module. + +## Attrs + +Attrs will likely work next-best, because it has an optional `converters`, which +does construction-time casting of the input arguments. While not as +automatic/integrated as pydantic, it can work just as well. + +## Dataclasses + +Dataclasses primarily suffer from lack of a native API for casting input values. +As such, this library performs **very** basic mapping of annotated types, where +the output type can be constructed from a raw input string. + +For example, `int`, `float`, `Decimal`, `bool`, `str`, etc. For anything more +complex, dataclasses will probably not be the most productive choice (at least +until/if [PEP-712](https://peps.python.org/pep-0712/) is accepted/merged) diff --git a/docs/source/conf.py b/docs/source/conf.py new file mode 100644 index 0000000..48d90b0 --- /dev/null +++ b/docs/source/conf.py @@ -0,0 +1,59 @@ +from sphinx_pyproject import SphinxConfig + +config = SphinxConfig("../../pyproject.toml", style="poetry") + +project = "Dataclass Settings" +copyright = "2023, Dan Cardin" +author = config.author +release = config.version + +extensions = [ + "autoapi.extension", + "myst_parser", + "sphinx.ext.autodoc", + "sphinx.ext.autosectionlabel", + "sphinx.ext.intersphinx", + "sphinx.ext.napoleon", + "sphinx_copybutton", +] + +templates_path = ["_templates"] + +exclude_patterns = [] + +html_theme = "furo" +html_theme_options = { + "navigation_with_keys": True, +} +html_static_path = ["_static"] + +myst_heading_anchors = 3 +myst_enable_extensions = [ + "amsmath", + "colon_fence", + "deflist", + "dollarmath", + "fieldlist", + "html_admonition", + "html_image", + "linkify", + "replacements", + "smartquotes", + "strikethrough", + "substitution", + "tasklist", +] + +intersphinx_mapping = { + "python": ("https://docs.python.org/3", None), +} + +autoapi_type = "python" +autoapi_dirs = ["../../src/dataclass_settings"] +autoapi_generate_api_docs = False + +autodoc_typehints = "description" +autodoc_typehints_format = "fully-qualified" +suppress_warnings = ["autoapi.python_import_resolution"] + +autosectionlabel_prefix_document = True diff --git a/docs/source/index.md b/docs/source/index.md new file mode 100644 index 0000000..6ff5645 --- /dev/null +++ b/docs/source/index.md @@ -0,0 +1,27 @@ +```{include} ../../README.md +:relative-docs: docs/source/ +:relative-images: +``` + +```{toctree} +:hidden: + +API +``` + +```{toctree} +:caption: Concepts +:hidden: + +Dataclasses/Pydantic/Attrs +Annotations +Loaders +``` + +```{toctree} +:caption: Useful Links +:hidden: + +GitHub Repository +PyPI +``` diff --git a/docs/source/loaders.md b/docs/source/loaders.md new file mode 100644 index 0000000..28a2c22 --- /dev/null +++ b/docs/source/loaders.md @@ -0,0 +1,80 @@ +# Loaders + +A "loader" is defined as a class which implements the +[dataclass_settings.Loader](dataclass_settings.loaders.Loader) protocol. i.e. a +type with a method `load(context: Context)`. + +Currently the library ships with two loaders: + +- `Env`: Loads environment variables +- `Secrets`: Loads file contents (defaults to `/run/secrets/...`, which ensures + compatibility with Docker Secrets) + +Additional 1st party loaders will be accepted, but any loader which requires +additional dependencies (for example, `AWS Secrets Manager` would imply `boto3`) +**will** be added as optional extras + +## Custom/External Loaders + +Defining your own loader is relatively simple: + +```python +from typing import Annotated +from pydantic import BaseModel +from dataclass_settings import Loader, load_settings + +class Foo(Loader): + prefix: str + + def load(self, context: Context): + """Adds a prefix str to the end of the field name.""" + return self.prefix + context.field_name + + +class Config(BaseModel): + foo: Annotated[str, FooLoader('pref_')] + + + +config: Config = load_settings(Config, extra_loaders=[FooLoader]) +assert config == Config(foo='pref_foo') +``` + +A loader can accept any input values required to look up the setting value in +question. + +The [Context](dataclass_settings.context.Context) object contains additional +information about the loading context, such as: + +- `context.field_name`: The name of the field being loaded +- `context.path`: The path from the root object to the currently loaded object +- `context.get_name`: Automatically conjoins the `path` and `name` (using + `nested_delimiter`) if appropriate +- `context.get_state`: Returns loader-specific state. + +### `Loader.init` + +If your loader requires caching state some state between multiple `load` calls +(such as the above "AWS Secrets Manager" example, where you might want to cache +the `boto3.Session` object), you will need to define an `init` +staticmethod/classmethod. + +The return value of that function will be recorded into the `Context`, and +`context.get_state(self)` from inside a `Lodder` instance will return that +state. + +```python +from dataclass_settings import Loader, load_settings + +class Foo(Loader): + prefix: str + + @staticmethod + def init(): + return {'woah': True} + + def load(self, context: Context): + state = context.get_state(self) + assert state == {'woah': 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+norecursedirs = ".* build dist *.egg bin" +markers = [ + "help", +] diff --git a/src/dataclass_settings/__init__.py b/src/dataclass_settings/__init__.py new file mode 100644 index 0000000..7564475 --- /dev/null +++ b/src/dataclass_settings/__init__.py @@ -0,0 +1,11 @@ +from dataclass_settings.base import load_settings +from dataclass_settings.context import Context +from dataclass_settings.loaders import Env, Loader, Secret + +__all__ = [ + "Env", + "load_settings", + "Loader", + "Secret", + "Context", +] diff --git a/src/dataclass_settings/base.py b/src/dataclass_settings/base.py new file mode 100644 index 0000000..95f4793 --- /dev/null +++ b/src/dataclass_settings/base.py @@ -0,0 +1,106 @@ +from __future__ import annotations + +import logging +from typing import Any, Sequence, TypeVar + +from dataclass_settings import class_inspect +from dataclass_settings.context import Context +from dataclass_settings.loaders import Env, Loader, Secret + +log = logging.getLogger("dataclass_settings") + + +T = TypeVar("T") + + +def load_settings( + source_cls: type[T], + *, + loaders: Sequence[type[Loader]] = (Env, Secret), + extra_loaders: Sequence[type[Loader]] = (), + nested_delimiter: bool | str = False, + infer_names: bool = False, + loader_args: dict[type[Loader], Sequence[Any]] | None = None, + emit_history: bool = False, +) -> T: + """Load settings from a supported source class. + + Arguments: + source_cls: The root object to load settings for. + loaders: The set of loaders to use to load settings. + extra_loaders: Additional loaders to use. Distinct from `loaders` + in that this option will not affect the set of default loaders. + nested_delimiter: Defaults to `False`. When `True`, "_" is used as + the delimiter. When a string is provided, that is used as the + delimiter. + infer_names: Defaults to `False`. When `True`, it informs loaders + to infer the name of the setting from the name of the field ( + akin to pydantic-settings' default). When disabled, most loaders + will require an explicit name. + loader_args: Arguments to pass to each loader's `init` method, if required. + emit_history: Defaults to `False`. When `True`, records the provenance + of loaded secrets (evaluated names and values for each field) and + log them in the event of a loading failure. + """ + context = Context( + nested_delimiter=nested_delimiter, + infer_names=infer_names, + record_history=emit_history, + ) + + all_loaders = (*loaders, *extra_loaders) + for loader in all_loaders: + args = loader_args.get(loader) if loader_args else None + context.load_state(loader, args) + + result = ( + collect( + source_cls, + context=context, + loaders=all_loaders, + nested_delimiter=nested_delimiter, + ) + or {} + ) + + try: + return source_cls(**result) + except Exception: + if emit_history: + log.warning(context.generate_load_history()) + raise + + +def collect( + source_cls: type, + *, + loaders: tuple[type[Loader], ...], + context: Context, + nested_delimiter: bool | str = False, +) -> dict[str, Any] | None: + result = {} + for field in class_inspect.fields(source_cls): + field_context = context.enter(field.name) + + value: str | None | dict[str, Any] = None + + nested_type = field.get_nested_type() + if nested_type: + value = collect( + nested_type, + context=field_context, + loaders=loaders, + nested_delimiter=nested_delimiter, + ) + else: + for loader in field.get_loaders(loaders): + value = loader.load(field_context) + if value is not None: + break + + if value is not None: + result[field.name] = field.map_value(value) + + if not result: + return None + return result diff --git a/src/dataclass_settings/class_inspect.py b/src/dataclass_settings/class_inspect.py new file mode 100644 index 0000000..7f5a429 --- /dev/null +++ b/src/dataclass_settings/class_inspect.py @@ -0,0 +1,161 @@ +from __future__ import annotations + +import dataclasses +from enum import Enum +from typing import Any, Callable, Type + +import typing_inspect +from typing_extensions import Self, get_args, get_origin + +from dataclass_settings.loaders import Loader + +__all__ = [ + "fields", + "detect", +] + + +def detect(cls: type) -> bool: + try: + return bool(ClassTypes.from_cls(cls)) + except ValueError: + return False + + +class ClassTypes(Enum): + dataclass = "dataclass" + pydantic = "pydantic" + pydantic_dataclass = "pydantic_dataclass" + attrs = "attrs" + + @classmethod + def from_cls(cls, obj: type) -> ClassTypes: + if hasattr(obj, "__pydantic_fields__"): + return cls.pydantic_dataclass + + if dataclasses.is_dataclass(obj): + return cls.dataclass + + try: + from pydantic import BaseModel + except ImportError: # pragma: no cover + pass + else: + if isinstance(obj, type) and issubclass(obj, BaseModel): + return cls.pydantic + + if hasattr(obj, "__attrs_attrs__"): + return cls.attrs + + raise ValueError( # pragma: no cover + f"'{cls}' is not a currently supported base class. " + "Must be one of: dataclass, pydantic, or attrs class." + ) + + +@dataclasses.dataclass +class Field: + name: str + type: type + annotations: tuple[Any, ...] + mapper: Callable[..., Any] | None = None + + @classmethod + def from_dataclass(cls, typ: Type) -> list[Self]: + fields = [] + for f in typ.__dataclass_fields__.values(): + field = cls( + name=f.name, + type=get_origin(f.type) or f.type, + annotations=get_args(f.type) or (), + mapper=f.type, + ) + fields.append(field) + return fields + + @classmethod + def from_pydantic(cls, typ: Type) -> list[Self]: + fields = [] + for name, f in typ.model_fields.items(): + field = cls( + name=name, + type=f.annotation, + annotations=tuple(f.metadata), + ) + fields.append(field) + return fields + + @classmethod + def from_pydantic_dataclass(cls, typ: Type) -> list[Self]: + fields = [] + for name, f in typ.__pydantic_fields__.items(): + field = cls( + name=name, + type=f.annotation, + annotations=tuple(f.metadata), + ) + fields.append(field) + return fields + + @classmethod + def from_attrs(cls, typ: Type) -> list[Self]: + fields = [] + for f in typ.__attrs_attrs__: + field = cls( + name=f.name, + type=get_origin(f.type) or f.type, + annotations=get_args(f.type) or (), + mapper=f.type, + ) + fields.append(field) + return fields + + def get_loaders(self, loaders: tuple[Type[Loader], ...]): + for m in self.annotations: + if isinstance(m, loaders): + yield m + + def get_nested_type(self) -> Type | None: + if typing_inspect.is_union_type(self.type): + args = typing_inspect.get_args(self.type) + else: + args = [self.type] + + unsupported_args = [] + try: + supported_arg = next(arg for arg in args if detect(arg)) + except StopIteration: + supported_arg = None + + for arg in args: + if arg is not supported_arg and detect(arg): + unsupported_args.append(arg) + + if unsupported_args: + raise ValueError("Can only react to one thing a time", unsupported_args) + + return supported_arg + + def map_value(self, value: str | dict[str, Any]): + if self.mapper: + if isinstance(value, str): + return self.mapper(value) + return self.mapper(**value) + return value + + +def fields(cls: type): + class_type = ClassTypes.from_cls(cls) + if class_type == ClassTypes.dataclass: + return Field.from_dataclass(cls) + + if class_type == ClassTypes.pydantic: + return Field.from_pydantic(cls) + + if class_type == ClassTypes.pydantic_dataclass: + return Field.from_pydantic_dataclass(cls) + + if class_type == ClassTypes.attrs: + return Field.from_attrs(cls) + + raise NotImplementedError() # pragma: no cover diff --git a/src/dataclass_settings/context.py b/src/dataclass_settings/context.py new file mode 100644 index 0000000..39423a7 --- /dev/null +++ b/src/dataclass_settings/context.py @@ -0,0 +1,65 @@ +from __future__ import annotations + +from dataclasses import dataclass, field, replace +from typing import TYPE_CHECKING, Any, cast + +if TYPE_CHECKING: + from dataclass_settings.loaders import Loader + + +@dataclass +class Context: + path: list[str] = field(default_factory=list) + field_name: str | None = None + state: dict[type[Loader], Any] = field(default_factory=dict) + + nested_delimiter: bool | str = False + infer_names: bool = False + record_history: bool = False + + _loaded_values: dict[str, list[str]] = field(default_factory=dict) + + def enter(self, name: str): + path = [*self.path] + if self.field_name is not None: + path.append(self.field_name) + + return replace(self, path=path, field_name=name) + + def get_name(self, name: str) -> str: + if self.nested_delimiter: + nested_delimiter = ( + self.nested_delimiter if isinstance(self.nested_delimiter, str) else "_" + ) + return nested_delimiter.join([*self.path, name]) + return name + + def load_state(self, loader: type[Loader], args: Any | None = None): + state = loader.init(*(args or ())) + if state is not None: + self.state[loader] = state + + def get_state(self, loader: Loader): + return self.state.get(type(loader)) + + def record_loaded_value(self, loader: Loader, name: str, value: Any): + if not self.record_history: + return + + message = ( + f"Used `{loader.__class__.__name__}` to read '{name}', found '{value}'." + ) + if value is None: + message += " Skipping." + + full_path = ".".join([*self.path, cast(str, self.field_name)]) + self._loaded_values.setdefault(full_path, []).append(message) + + def generate_load_history(self): + result = [] + for name, attempts in self._loaded_values.items(): + result.append(f"{name}:") + for attempt in attempts: + result.append(f" - {attempt}") + result.append("") + return "\n".join(result) diff --git a/src/dataclass_settings/loaders.py b/src/dataclass_settings/loaders.py new file mode 100644 index 0000000..5b4a579 --- /dev/null +++ b/src/dataclass_settings/loaders.py @@ -0,0 +1,89 @@ +from __future__ import annotations + +import os +from dataclasses import dataclass +from functools import partial +from typing import cast, runtime_checkable + +from typing_extensions import Protocol, assert_never + +from dataclass_settings.context import Context + + +@runtime_checkable +class Loader(Protocol): + @staticmethod + def init(): + """Return any state necessary to be shared across instances of the loader.""" + return + + @classmethod + def partial(cls, **kwargs): + return partial(cls, **kwargs) + + def load(self, context: Context): + assert_never() # type: ignore + + +@dataclass(init=False) +class Env(Loader): + env_vars: tuple[str, ...] + + def __init__(self, *env_vars: str): + self.env_vars = env_vars + + @staticmethod + def init(): + return os.environ + + def load(self, context: Context): + state = context.get_state(self) or {} + + field_name = cast(str, context.field_name) + if not self.env_vars and not context.infer_names: + field = ".".join([*context.path, field_name]) + raise ValueError( + f"Env instance for `{field}` supplies no `env_var` and `infer_names` is enabled" + ) + + env_vars = [field_name] if context.infer_names else self.env_vars + for env_var in env_vars: + name = context.get_name(env_var) + final_env_var = name.upper() + + value = state.get(final_env_var) + context.record_loaded_value(self, name, value) + + if value is not None: + return value + + return None + + +@dataclass(init=False) +class Secret(Loader): + names: tuple[str, ...] + dir: str = "/run/secrets" + + def __init__(self, *names: str, dir: str = dir): + self.names = names + self.dir = dir + + def load(self, context: Context): + field_name = cast(str, context.field_name) + if not self.names and not context.infer_names: + field = ".".join([*context.path, field_name]) + raise ValueError( + f"Env instance for `{field}` supplies no `env_var` and `infer_names` is enabled" + ) + + names = [field_name] if context.infer_names else self.names + for name in names: + final_name = context.get_name(name) + path = os.path.join(self.dir, final_name) + + if os.path.exists(path): + with open(path) as f: + return f.read() + + return None diff --git a/src/dataclass_settings/py.typed b/src/dataclass_settings/py.typed new file mode 100644 index 0000000..e69de29 diff --git a/tests/__init__.py b/tests/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/tests/class_types/__init__.py b/tests/class_types/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/tests/class_types/test_attrs.py b/tests/class_types/test_attrs.py new file mode 100644 index 0000000..3e816e0 --- /dev/null +++ b/tests/class_types/test_attrs.py @@ -0,0 +1,66 @@ +from decimal import Decimal + +import pytest +from attrs import define, field +from dataclass_settings import Env, load_settings +from typing_extensions import Annotated + +from tests.utils import env_setup + + +def test_missing_required(): + @define + class Config: + foo: Annotated[str, Env("FOO")] + + with env_setup({}), pytest.raises(TypeError): + load_settings(Config) + + +def test_has_required_required(): + @define + class Config: + foo: Annotated[str, Env("FOO")] + ignoreme: str = "asdf" + + with env_setup({"FOO": "1", "VALUE": "two"}): + config = load_settings(Config) + + assert config == Config(foo="1", ignoreme="asdf") + + +def test_nested(): + @define + class Sub: + foo: Annotated[str, Env("FOO")] + + @define + class Config: + sub: Sub + + with env_setup({"FOO": "3"}): + config = load_settings(Config) + + assert config == Config(sub=Sub(foo="3")) + + +def test_map_int(): + @define + class Config: + foo: Annotated[int, Env("FOO")] = field(converter=int) + + with env_setup({"FOO": "3"}): + config = load_settings(Config) + + assert config == Config(foo=3) + + +def test_map_decimal(): + @define + class Config: + foo: Annotated[Decimal, Env("FOO")] = field(converter=Decimal) + + with env_setup({"FOO": "3"}): + config = load_settings(Config) + + assert config == Config(foo=Decimal("3")) diff --git a/tests/class_types/test_dataclass.py b/tests/class_types/test_dataclass.py new file mode 100644 index 0000000..9e95283 --- /dev/null +++ b/tests/class_types/test_dataclass.py @@ -0,0 +1,66 @@ +from dataclasses import dataclass +from decimal import Decimal + +import pytest +from dataclass_settings import Env, load_settings +from typing_extensions import Annotated + +from tests.utils import env_setup + + +def test_missing_required(): + @dataclass + class Config: + foo: Annotated[str, Env("FOO")] + + with env_setup({}), pytest.raises(TypeError): + load_settings(Config) + + +def test_has_required_required(): + @dataclass + class Config: + foo: Annotated[str, Env("FOO")] + ignoreme: str = "asdf" + + with env_setup({"FOO": "1", "VALUE": "two"}): + config = load_settings(Config) + + assert config == Config(foo="1", ignoreme="asdf") + + +def test_nested(): + @dataclass + class Sub: + foo: Annotated[str, Env("FOO")] + + @dataclass + class Config: + sub: Sub + + with env_setup({"FOO": "3"}): + config = load_settings(Config) + + assert config == Config(sub=Sub(foo="3")) + + +def test_map_int(): + @dataclass + class Config: + foo: Annotated[int, Env("FOO")] + + with env_setup({"FOO": "3"}): + config = load_settings(Config) + + assert config == Config(foo=3) + + +def test_map_decimal(): + @dataclass + class Config: + foo: Annotated[Decimal, Env("FOO")] + + with env_setup({"FOO": "3"}): + config = load_settings(Config) + + assert config == Config(foo=Decimal("3")) diff --git a/tests/class_types/test_pydantic.py b/tests/class_types/test_pydantic.py new file mode 100644 index 0000000..18087f6 --- /dev/null +++ b/tests/class_types/test_pydantic.py @@ -0,0 +1,60 @@ +from decimal import Decimal + +import pytest +from dataclass_settings import Env, load_settings +from pydantic import BaseModel, ValidationError +from typing_extensions import Annotated + +from tests.utils import env_setup + + +def test_missing_required(): + class Config(BaseModel): + foo: Annotated[str, Env("FOO")] + + with env_setup({}), pytest.raises(ValidationError): + load_settings(Config) + + +def test_has_required_required(): + class Config(BaseModel): + foo: Annotated[str, Env("FOO")] + ignoreme: str = "asdf" + + with env_setup({"FOO": "1", "VALUE": "two"}): + config = load_settings(Config) + + assert config == Config(foo="1", ignoreme="asdf") + + +def test_nested(): + class Sub(BaseModel): + foo: Annotated[str, Env("FOO")] + + class Config(BaseModel): + sub: Sub + + with env_setup({"FOO": "3"}): + config = load_settings(Config) + + assert config == Config(sub=Sub(foo="3")) + + +def test_map_int(): + class Config(BaseModel): + foo: Annotated[int, Env("FOO")] + + with env_setup({"FOO": "3"}): + config = load_settings(Config) + + assert config == Config(foo=3) + + +def test_map_decimal(): + class Config(BaseModel): + foo: Annotated[Decimal, Env("FOO")] + + with env_setup({"FOO": "3"}): + config = load_settings(Config) + + assert config == Config(foo=Decimal("3")) diff --git a/tests/class_types/test_pydantic_dataclass.py b/tests/class_types/test_pydantic_dataclass.py new file mode 100644 index 0000000..be509ae --- /dev/null +++ b/tests/class_types/test_pydantic_dataclass.py @@ -0,0 +1,67 @@ +from decimal import Decimal + +import pytest +from dataclass_settings import Env, load_settings +from pydantic import ValidationError +from pydantic.dataclasses import dataclass +from typing_extensions import Annotated + +from tests.utils import env_setup + + +def test_missing_required(): + @dataclass + class Config: + foo: Annotated[str, Env("FOO")] + + with env_setup({}), pytest.raises(ValidationError): + load_settings(Config) + + +def test_has_required_required(): + @dataclass + class Config: + foo: Annotated[str, Env("FOO")] + ignoreme: str = "asdf" + + with env_setup({"FOO": "1", "VALUE": "two"}): + config = load_settings(Config) + + assert config == Config(foo="1", ignoreme="asdf") + + +def test_nested(): + @dataclass + class Sub: + foo: Annotated[str, Env("FOO")] + + @dataclass + class Config: + sub: Sub + + with env_setup({"FOO": "3"}): + config = load_settings(Config) + + assert config == Config(sub=Sub(foo="3")) + + +def test_map_int(): + @dataclass + class Config: + foo: Annotated[int, Env("FOO")] + + with env_setup({"FOO": "3"}): + config = load_settings(Config) + + assert config == Config(foo=3) + + +def test_map_decimal(): + @dataclass + class Config: + foo: Annotated[Decimal, Env("FOO")] + + with env_setup({"FOO": "3"}): + config = load_settings(Config) + + assert config == Config(foo=Decimal("3")) diff --git a/tests/loaders/__init__.py b/tests/loaders/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/tests/loaders/test_load_env.py b/tests/loaders/test_load_env.py new file mode 100644 index 0000000..55c4a9d --- /dev/null +++ b/tests/loaders/test_load_env.py @@ -0,0 +1,173 @@ +import textwrap +from typing import List, Union + +import pytest +from dataclass_settings import Env, load_settings +from pydantic import BaseModel, Field, ValidationError +from typing_extensions import Annotated + +from tests.utils import env_setup + + +def test_missing_required(): + class Config(BaseModel): + foo: Annotated[int, Env("FOO")] + + with env_setup({}), pytest.raises(ValidationError): + load_settings(Config) + + +def test_has_required_required(): + class Config(BaseModel): + foo: Annotated[int, Env("FOO")] + ignoreme: str = "asdf" + + with env_setup({"FOO": "1", "VALUE": "two"}): + config = load_settings(Config) + + assert config == Config(foo=1, ignoreme="asdf") + + +def test_fallback(): + class Config(BaseModel): + foo: Annotated[int, Env("FOO")] + default: Annotated[str, Env("MEOW", "UHH")] = Field(default="ok") + + with env_setup({"FOO": "1", "VALUE": "two", "UHH": "3"}): + config = load_settings(Config) + + assert config == Config(foo=1, default="3") + + +def test_nested_object(): + class Bar(BaseModel): + value: Annotated[str, Env("VALUE")] + meow: Annotated[str, Env("MEOW")] = "meow" + default: Annotated[str, Env("MEOW", "UHH")] = Field(default="ok") + + class Config(BaseModel): + foo: Annotated[int, Env("FOO")] + bar: Bar + ignoreme: str = "asdf" + + with env_setup({"FOO": "1", "VALUE": "two", "UHH": "3"}): + config = load_settings(Config) + + assert config == Config( + foo=1, bar=Bar(value="two", meow="meow", default="3"), ignoreme="asdf" + ) + + +def test_nested_delimiter(): + class Bar(BaseModel): + value: Annotated[int, Env("VALUE")] + + class Foo(BaseModel): + bar: Bar + + class Config(BaseModel): + foo: Foo + + with env_setup({"FOO__BAR__VALUE": "15"}): + config = load_settings(Config, nested_delimiter="__") + + assert config == Config(foo=Foo(bar=Bar(value=15))) + + +def test_ignore_non_env_fields(): + class Config(BaseModel): + value1: Annotated[int, Env("VALUE")] + value2: str = "foo" + value3: List[str] = ["foo"] + + with env_setup({"VALUE": "15"}): + config = load_settings(Config, nested_delimiter="__") + + assert config == Config(value1=15, value2="foo", value3=["foo"]) + + +def test_optional_nested_object(): + class Foo(BaseModel): + value: Annotated[int, Env("VALUE")] + + class Config(BaseModel): + foo: Union[Foo, None] = None + + with env_setup({}): + config = load_settings(Config, nested_delimiter="__") + + assert config == Config(foo=None) + + +def test_arbitrary_annotation_skipped(): + class Config(BaseModel): + foo: Annotated[str, ""] = "" + + with env_setup({}): + config = load_settings(Config) + + assert config == Config() + + +def test_union_of_supportable_class_types(): + class Foo(BaseModel): + ... + + class Bar(BaseModel): + ... + + class Config(BaseModel): + foo: Union[Foo, Bar] + + with env_setup({}), pytest.raises(ValueError): + load_settings(Config) + + +def test_infer_name(): + class Foo(BaseModel): + nested: Annotated[str, Env()] + + class Config(BaseModel): + foo: Foo + bar: Annotated[int, Env()] + + with env_setup({"BAR": "2", "FOO_NESTED": "nest!"}): + config = load_settings(Config, nested_delimiter="_", infer_names=True) + + assert config == Config(bar=2, foo=Foo(nested="nest!")) + + +def test_missing_infer_name_or_env_var(): + class Config(BaseModel): + bar: Annotated[int, Env()] + + with env_setup(), pytest.raises(ValueError) as e: + load_settings(Config) + + assert ( + str(e.value) + == "Env instance for `bar` supplies no `env_var` and `infer_names` is enabled" + ) + + +def test_setting_load_error(caplog): + class Foo(BaseModel): + nested: Annotated[str, Env()] + bar: Annotated[str, Env()] + + class Config(BaseModel): + foo: Foo + + with env_setup({"BAR": "one"}), pytest.raises(ValidationError): + load_settings(Config, infer_names=True, emit_history=True) + + message = caplog.messages[0] + assert message == textwrap.dedent( + """\ + foo.nested: + - Used `Env` to read 'nested', found 'None'. Skipping. + + foo.bar: + - Used `Env` to read 'bar', found 'one'. + """ + ) diff --git a/tests/loaders/test_secret.py b/tests/loaders/test_secret.py new file mode 100644 index 0000000..31a92e1 --- /dev/null +++ b/tests/loaders/test_secret.py @@ -0,0 +1,166 @@ +from typing import List, Union + +import pytest +from dataclass_settings import Secret, load_settings +from pydantic import BaseModel, Field, ValidationError +from typing_extensions import Annotated + +from tests.utils import env_setup + + +def test_missing_required(): + class Config(BaseModel): + foo: Annotated[int, Secret("foo")] + + with env_setup(), pytest.raises(ValidationError): + load_settings(Config) + + +def test_has_required_required(): + class Config(BaseModel): + foo: Annotated[int, Secret("foo")] + ignoreme: str = "asdf" + + with env_setup(files={"/run/secrets/foo": "1"}): + config = load_settings(Config) + + assert config == Config(foo=1, ignoreme="asdf") + + +def test_fallback(): + class Config(BaseModel): + foo: Annotated[int, Secret("foo")] + default: Annotated[str, Secret("meow", "uhh")] = Field(default="ok") + + with env_setup(files={"/run/secrets/foo": "1", "/run/secrets/uhh": "3"}): + config = load_settings(Config) + + assert config == Config(foo=1, default="3") + + +def test_nested_object(): + class Bar(BaseModel): + value: Annotated[str, Secret("value")] + meow: Annotated[str, Secret("meow")] = "meow" + default: Annotated[str, Secret("meow", "uhh")] = Field(default="ok") + + class Config(BaseModel): + foo: Annotated[int, Secret("foo")] + bar: Bar + ignoreme: str = "asdf" + + with env_setup( + files={ + "/run/secrets/foo": "1", + "/run/secrets/value": "two", + "/run/secrets/uhh": "3", + } + ): + config = load_settings(Config) + + assert config == Config( + foo=1, bar=Bar(value="two", meow="meow", default="3"), ignoreme="asdf" + ) + + +def test_nested_delimiter(): + class Bar(BaseModel): + value: Annotated[int, Secret("value")] + + class Foo(BaseModel): + bar: Bar + + class Config(BaseModel): + foo: Foo + + with env_setup(files={"/run/secrets/foo__bar__value": "15"}): + config = load_settings(Config, nested_delimiter="__") + + assert config == Config(foo=Foo(bar=Bar(value=15))) + + +def test_ignore_non_env_fields(): + class Config(BaseModel): + value1: Annotated[int, Secret("value")] + value2: str = "foo" + value3: List[str] = ["foo"] + + with env_setup(files={"/run/secrets/value": "15"}): + config = load_settings(Config, nested_delimiter="__") + + assert config == Config(value1=15, value2="foo", value3=["foo"]) + + +def test_optional_nested_object(): + class Foo(BaseModel): + value: Annotated[int, Secret("value")] + + class Config(BaseModel): + foo: Union[Foo, None] = None + + with env_setup(): + config = load_settings(Config, nested_delimiter="__") + + assert config == Config(foo=None) + + +def test_arbitrary_annotation_skipped(): + class Config(BaseModel): + foo: Annotated[str, ""] = "" + + with env_setup(): + config = load_settings(Config) + + assert config == Config() + + +def test_union_of_supportable_class_types(): + class Foo(BaseModel): + ... + + class Bar(BaseModel): + ... + + class Config(BaseModel): + foo: Union[Foo, Bar] + + with env_setup(), pytest.raises(ValueError): + load_settings(Config) + + +def test_partial(): + my_secret = Secret.partial(dir="/foo/bar") + + class Config(BaseModel): + foo: Annotated[str, my_secret("foo")] + + with env_setup(files={"/foo/bar/foo": "one"}): + config = load_settings(Config) + assert config == Config(foo="one") + + +def test_infer_name(): + class Foo(BaseModel): + nested: Annotated[str, Secret()] + + class Config(BaseModel): + foo: Foo + bar: Annotated[int, Secret()] + + with env_setup(files={"/run/secrets/bar": "2", "/run/secrets/foo_nested": "nest!"}): + config = load_settings(Config, nested_delimiter="_", infer_names=True) + + assert config == Config(bar=2, foo=Foo(nested="nest!")) + + +def test_missing_infer_name_or_env_var(): + class Config(BaseModel): + bar: Annotated[int, Secret()] + + with env_setup(), pytest.raises(ValueError) as e: + load_settings(Config) + + assert ( + str(e.value) + == "Env instance for `bar` supplies no `env_var` and `infer_names` is enabled" + ) diff --git a/tests/test_fallback.py b/tests/test_fallback.py new file mode 100644 index 0000000..a7f8201 --- /dev/null +++ b/tests/test_fallback.py @@ -0,0 +1,23 @@ +from dataclass_settings import Env, Secret, load_settings +from pydantic import BaseModel +from typing_extensions import Annotated + +from tests.utils import env_setup + + +def test_falls_back_to_lower_priority_env(): + class Config(BaseModel): + foo: Annotated[int, Env("FOO"), Env("BAR")] + + with env_setup(env={"BAR": "4"}): + config = load_settings(Config) + assert config == Config(foo=4) + + +def test_falls_back_to_other_loader(): + class Config(BaseModel): + foo: Annotated[str, Env("FOO"), Secret("bar")] + + with env_setup(files={"/run/secrets/bar": "one!"}): + config = load_settings(Config) + assert config == Config(foo="one!") diff --git a/tests/utils.py b/tests/utils.py new file mode 100644 index 0000000..c7df2a6 --- /dev/null +++ b/tests/utils.py @@ -0,0 +1,20 @@ +import contextlib +from unittest.mock import mock_open, patch + + +@contextlib.contextmanager +def env_setup(env={}, files={}): + def exists(path): + return path in files + + def choose_file(path, *_, **__): + if "pdbrc" in path: + return mock_open(read_data="")(path) + return mock_open(read_data=files[path])(path) + + env_patch = patch("os.environ", new=env) + files_patch = patch("builtins.open", new=choose_file) + exists_patch = patch("os.path.exists", new=exists) + + with env_patch, files_patch, exists_patch: + yield