AI Decision System
Replayable, offline-verifiable records for AI-assisted go/no-go decisions: experiment promotions, typed model answers and human-approved actions.
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一分鐘完成驗證PHPDocker.io website and environment (php and docker based) generator
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取自儲存庫 README
正在載入完整 README。 以下為已儲存的摘錄。
PHPDocker.io
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PHPDocker.io is a web-based generator for Docker environments tailored for PHP applications. This repository contains both the website and the generator core, open-sourced under the Apache 2.0 license.
Visit us at phpdocker.io.
• PHP: 8.5
• Framework: Symfony 8.0
• Frontend: Yarn / Symfony Asset
• Storage: Redis
• Environment: Docker & Docker Compose
Fork, tweak & pull request.
Please follow PSR-12 code formatting standards, Symfony best practices, and maintain strict typing. Ensure all changes pass static analysis at level 9.檢視完整 README ↗PHPDocker.io is a web-based generator for Docker environments tailored for PHP applications. This repository contains both the website and the generator core, open-sourced under the Apache 2.0 license.
Visit us at phpdocker.io.
Fork, tweak & pull request.
Please follow PSR-12 code formatting standards, Symfony best practices, and maintain strict typing. Ensure all changes pass static analysis at level 9.
See AGENTS.md for a more detailed guide for developers and AI agents.
The project comes with its own PHPDocker.io generated environment.
mkcert (for local SSL)makeThe recommended installation is running the make init script. This will automate the setup through Docker:
make init
This command performs the following:
mkcertphpdocker.local)Once finished, the application will be available at https://phpdocker.local:10000. You can head directly to the /generator route.
make start: Start the environment.make stop: Stop the environment.make shell: Open a bash shell inside the PHP container.make static-analysis: Run PHPStan (level 9).make unit-tests: Run PHPUnit.Running the app on Windows is possible using WSL2 and Docker. More info here: Docker Desktop WSL 2 backend. The app will be available at https://localhost:10000.