%global _empty_manifest_terminate_build 0 Name: python-di Version: 0.75.3 Release: 1 Summary: Dependency injection toolkit License: MIT URL: https://github.com/adriangb/di Source0: https://mirrors.nju.edu.cn/pypi/web/packages/27/34/88d8930b3dcf9cd7608f82fb6893d62cbb66e79383b37aaf5c593fb7b4a8/di-0.75.3.tar.gz BuildArch: noarch Requires: python3-anyio Requires: python3-typing-extensions Requires: python3-graphlib2 %description # `di`: dependency injection toolkit
`di` is a modern dependency injection toolkit, modeled around the simplicity of FastAPI's dependency injection. Key features: - **Intuitive**: simple API, inspired by [FastAPI]. - **Auto-wiring**: `di` supports auto-wiring using type annotations. - **Scopes**: inspired by [pytest scopes], but defined by users (no fixed "request" or "session" scopes). - **Composable**: decoupled internal APIs give you the flexibility to customize wiring, execution and binding. - **Performant**: `di` can execute dependencies in parallel and cache results ins scopes. Performance critical parts are written in [🦀] via [graphlib2]. ## Installation ```shell pip install di[anyio] ``` ⚠️ This project is a work in progress. Until there is 1.X.Y release, expect breaking changes. ⚠️ ## Simple Example Here is a simple example of how `di` works: ```python from dataclasses import dataclass from di import Container from di.dependent import Dependent from di.executors import SyncExecutor class A: ... class B: ... @dataclass class C: a: A b: B def main(): container = Container() executor = SyncExecutor() solved = container.solve(Dependent(C, scope="request"), scopes=["request"]) with container.enter_scope("request") as state: c = solved.execute_sync(executor=executor, state=state) assert isinstance(c, C) assert isinstance(c.a, A) assert isinstance(c.b, B) ``` For more examples, see our [docs]. ### Why do I need dependency injection in Python? Isn't that a Java thing? Dependency injection is a software architecture technique that helps us achieve [inversion of control] and [dependency inversion] (one of the five [SOLID] design principles). It is a common misconception that traditional software design principles do not apply to Python. As a matter of fact, you are probably using a lot of these techniques already! For example, the `transport` argument to httpx's Client ([docs](https://www.python-httpx.org/advanced/#custom-transports)) is an excellent example of dependency injection. Pytest, arguably the most popular Python test framework, uses dependency injection in the form of [pytest fixtures]. Most web frameworks employ inversion of control: when you define a view / controller, the web framework calls you! The same thing applies to CLIs (like [click]) or TUIs (like [Textual]). This is especially true for many newer web frameworks that not only use inversion of control but also dependency injection. Two great examples of this are [FastAPI] and [BlackSheep]. For a more comprehensive overview of Python projects related to dependency injection, see [Awesome Dependency Injection in Python]. ## Project Aims This project aims to be a dependency injection toolkit, with a focus on providing the underlying dependency injection functionality for other libraries. In other words, while you could use this as a standalone dependency injection framework, you may find it to be a bit terse and verbose. There are also much more mature standalone dependency injection frameworks; I would recommend at least looking into [python-dependency-injector] since it is currently the most popular / widely used of the bunch. For more background, see our [docs]. [🦀]: https://www.rust-lang.org [graphlib2]: https://github.com/adriangb/graphlib2 [docs]: https://www.adriangb.com/di/ [binds]: binds.md [dependency inversion]: https://en.wikipedia.org/wiki/Dependency_inversion_principle [SOLID]: https://en.wikipedia.org/wiki/SOLID [inversion of control]: https://en.wikipedia.org/wiki/Inversion_of_control [click]: https://click.palletsprojects.com/en/8.0.x/ [Textual]: https://github.com/willmcgugan/textual [FastAPI]: https://fastapi.tiangolo.com/tutorial/dependencies/ [BlackSheep]: https://www.neoteroi.dev/blacksheep/dependency-injection/ [Awesome Dependency Injection in Python]: https://github.com/sfermigier/awesome-dependency-injection-in-python [python-dependency-injector]: https://github.com/ets-labs/python-dependency-injector [pytest scopes]: https://docs.pytest.org/en/6.2.x/fixture.html#scope-sharing-fixtures-across-classes-modules-packages-or-session [pytest fixtures]: https://docs.pytest.org/en/6.2.x/fixture.html See this release on GitHub: [v0.75.3](https://github.com/adriangb/di/releases/tag/0.75.3) %package -n python3-di Summary: Dependency injection toolkit Provides: python-di BuildRequires: python3-devel BuildRequires: python3-setuptools BuildRequires: python3-pip %description -n python3-di # `di`: dependency injection toolkit `di` is a modern dependency injection toolkit, modeled around the simplicity of FastAPI's dependency injection. Key features: - **Intuitive**: simple API, inspired by [FastAPI]. - **Auto-wiring**: `di` supports auto-wiring using type annotations. - **Scopes**: inspired by [pytest scopes], but defined by users (no fixed "request" or "session" scopes). - **Composable**: decoupled internal APIs give you the flexibility to customize wiring, execution and binding. - **Performant**: `di` can execute dependencies in parallel and cache results ins scopes. Performance critical parts are written in [🦀] via [graphlib2]. ## Installation ```shell pip install di[anyio] ``` ⚠️ This project is a work in progress. Until there is 1.X.Y release, expect breaking changes. ⚠️ ## Simple Example Here is a simple example of how `di` works: ```python from dataclasses import dataclass from di import Container from di.dependent import Dependent from di.executors import SyncExecutor class A: ... class B: ... @dataclass class C: a: A b: B def main(): container = Container() executor = SyncExecutor() solved = container.solve(Dependent(C, scope="request"), scopes=["request"]) with container.enter_scope("request") as state: c = solved.execute_sync(executor=executor, state=state) assert isinstance(c, C) assert isinstance(c.a, A) assert isinstance(c.b, B) ``` For more examples, see our [docs]. ### Why do I need dependency injection in Python? Isn't that a Java thing? Dependency injection is a software architecture technique that helps us achieve [inversion of control] and [dependency inversion] (one of the five [SOLID] design principles). It is a common misconception that traditional software design principles do not apply to Python. As a matter of fact, you are probably using a lot of these techniques already! For example, the `transport` argument to httpx's Client ([docs](https://www.python-httpx.org/advanced/#custom-transports)) is an excellent example of dependency injection. Pytest, arguably the most popular Python test framework, uses dependency injection in the form of [pytest fixtures]. Most web frameworks employ inversion of control: when you define a view / controller, the web framework calls you! The same thing applies to CLIs (like [click]) or TUIs (like [Textual]). This is especially true for many newer web frameworks that not only use inversion of control but also dependency injection. Two great examples of this are [FastAPI] and [BlackSheep]. For a more comprehensive overview of Python projects related to dependency injection, see [Awesome Dependency Injection in Python]. ## Project Aims This project aims to be a dependency injection toolkit, with a focus on providing the underlying dependency injection functionality for other libraries. In other words, while you could use this as a standalone dependency injection framework, you may find it to be a bit terse and verbose. There are also much more mature standalone dependency injection frameworks; I would recommend at least looking into [python-dependency-injector] since it is currently the most popular / widely used of the bunch. For more background, see our [docs]. [🦀]: https://www.rust-lang.org [graphlib2]: https://github.com/adriangb/graphlib2 [docs]: https://www.adriangb.com/di/ [binds]: binds.md [dependency inversion]: https://en.wikipedia.org/wiki/Dependency_inversion_principle [SOLID]: https://en.wikipedia.org/wiki/SOLID [inversion of control]: https://en.wikipedia.org/wiki/Inversion_of_control [click]: https://click.palletsprojects.com/en/8.0.x/ [Textual]: https://github.com/willmcgugan/textual [FastAPI]: https://fastapi.tiangolo.com/tutorial/dependencies/ [BlackSheep]: https://www.neoteroi.dev/blacksheep/dependency-injection/ [Awesome Dependency Injection in Python]: https://github.com/sfermigier/awesome-dependency-injection-in-python [python-dependency-injector]: https://github.com/ets-labs/python-dependency-injector [pytest scopes]: https://docs.pytest.org/en/6.2.x/fixture.html#scope-sharing-fixtures-across-classes-modules-packages-or-session [pytest fixtures]: https://docs.pytest.org/en/6.2.x/fixture.html See this release on GitHub: [v0.75.3](https://github.com/adriangb/di/releases/tag/0.75.3) %package help Summary: Development documents and examples for di Provides: python3-di-doc %description help # `di`: dependency injection toolkit `di` is a modern dependency injection toolkit, modeled around the simplicity of FastAPI's dependency injection. Key features: - **Intuitive**: simple API, inspired by [FastAPI]. - **Auto-wiring**: `di` supports auto-wiring using type annotations. - **Scopes**: inspired by [pytest scopes], but defined by users (no fixed "request" or "session" scopes). - **Composable**: decoupled internal APIs give you the flexibility to customize wiring, execution and binding. - **Performant**: `di` can execute dependencies in parallel and cache results ins scopes. Performance critical parts are written in [🦀] via [graphlib2]. ## Installation ```shell pip install di[anyio] ``` ⚠️ This project is a work in progress. Until there is 1.X.Y release, expect breaking changes. ⚠️ ## Simple Example Here is a simple example of how `di` works: ```python from dataclasses import dataclass from di import Container from di.dependent import Dependent from di.executors import SyncExecutor class A: ... class B: ... @dataclass class C: a: A b: B def main(): container = Container() executor = SyncExecutor() solved = container.solve(Dependent(C, scope="request"), scopes=["request"]) with container.enter_scope("request") as state: c = solved.execute_sync(executor=executor, state=state) assert isinstance(c, C) assert isinstance(c.a, A) assert isinstance(c.b, B) ``` For more examples, see our [docs]. ### Why do I need dependency injection in Python? Isn't that a Java thing? Dependency injection is a software architecture technique that helps us achieve [inversion of control] and [dependency inversion] (one of the five [SOLID] design principles). It is a common misconception that traditional software design principles do not apply to Python. As a matter of fact, you are probably using a lot of these techniques already! For example, the `transport` argument to httpx's Client ([docs](https://www.python-httpx.org/advanced/#custom-transports)) is an excellent example of dependency injection. Pytest, arguably the most popular Python test framework, uses dependency injection in the form of [pytest fixtures]. Most web frameworks employ inversion of control: when you define a view / controller, the web framework calls you! The same thing applies to CLIs (like [click]) or TUIs (like [Textual]). This is especially true for many newer web frameworks that not only use inversion of control but also dependency injection. Two great examples of this are [FastAPI] and [BlackSheep]. For a more comprehensive overview of Python projects related to dependency injection, see [Awesome Dependency Injection in Python]. ## Project Aims This project aims to be a dependency injection toolkit, with a focus on providing the underlying dependency injection functionality for other libraries. In other words, while you could use this as a standalone dependency injection framework, you may find it to be a bit terse and verbose. There are also much more mature standalone dependency injection frameworks; I would recommend at least looking into [python-dependency-injector] since it is currently the most popular / widely used of the bunch. For more background, see our [docs]. [🦀]: https://www.rust-lang.org [graphlib2]: https://github.com/adriangb/graphlib2 [docs]: https://www.adriangb.com/di/ [binds]: binds.md [dependency inversion]: https://en.wikipedia.org/wiki/Dependency_inversion_principle [SOLID]: https://en.wikipedia.org/wiki/SOLID [inversion of control]: https://en.wikipedia.org/wiki/Inversion_of_control [click]: https://click.palletsprojects.com/en/8.0.x/ [Textual]: https://github.com/willmcgugan/textual [FastAPI]: https://fastapi.tiangolo.com/tutorial/dependencies/ [BlackSheep]: https://www.neoteroi.dev/blacksheep/dependency-injection/ [Awesome Dependency Injection in Python]: https://github.com/sfermigier/awesome-dependency-injection-in-python [python-dependency-injector]: https://github.com/ets-labs/python-dependency-injector [pytest scopes]: https://docs.pytest.org/en/6.2.x/fixture.html#scope-sharing-fixtures-across-classes-modules-packages-or-session [pytest fixtures]: https://docs.pytest.org/en/6.2.x/fixture.html See this release on GitHub: [v0.75.3](https://github.com/adriangb/di/releases/tag/0.75.3) %prep %autosetup -n di-0.75.3 %build %py3_build %install %py3_install install -d -m755 %{buildroot}/%{_pkgdocdir} if [ -d doc ]; then cp -arf doc %{buildroot}/%{_pkgdocdir}; fi if [ -d docs ]; then cp -arf docs %{buildroot}/%{_pkgdocdir}; fi if [ -d example ]; then cp -arf example %{buildroot}/%{_pkgdocdir}; fi if [ -d examples ]; then cp -arf examples %{buildroot}/%{_pkgdocdir}; fi pushd %{buildroot} if [ -d usr/lib ]; then find usr/lib -type f -printf "/%h/%f\n" >> filelist.lst fi if [ -d usr/lib64 ]; then find usr/lib64 -type f -printf "/%h/%f\n" >> filelist.lst fi if [ -d usr/bin ]; then find usr/bin -type f -printf "/%h/%f\n" >> filelist.lst fi if [ -d usr/sbin ]; then find usr/sbin -type f -printf "/%h/%f\n" >> filelist.lst fi touch doclist.lst if [ -d usr/share/man ]; then find usr/share/man -type f -printf "/%h/%f.gz\n" >> doclist.lst fi popd mv %{buildroot}/filelist.lst . mv %{buildroot}/doclist.lst . %files -n python3-di -f filelist.lst %dir %{python3_sitelib}/* %files help -f doclist.lst %{_docdir}/* %changelog * Tue Apr 11 2023 Python_Bot