## What we expect from contributors

1. **Understand the content you submit, PRs as well as issues, and be able to explain it.** Our goal is for humans to use AI tools intentionally and with full control, rather than merely serving as proxies for AI agents. If you cannot explain the reason for something, we will assume you do not understand it, and the PR or issue will likely be closed.

### Understand the question { #understand-the-question }

* Check if you can understand what is the **purpose** and use case of the person asking.

* Then check if the question (the vast majority are questions) is **clear**.

      with:
        repo-token: ${{ secrets.GITHUB_TOKEN }}

That doesn't add any extra security to your API, the *path operations* will still be available where they are.

If there's a security flaw in your code, it will still exist.

Hiding the documentation just makes it more difficult to understand how to interact with your API, and could make it more difficult for you to debug it in production. It could be considered simply a form of [Security through obscurity](https://en.wikipedia.org/wiki/Security_through_obscurity).

contribution quickly and easily:

- [ ] Your pull request should address just one issue, without pulling in other changes.
- [ ] Write a pull request description that is detailed enough to understand what the pull request does, how, and why.
- [ ] Each commit in the pull request should have a meaningful subject line and body.
  Note that commits might be squashed by a maintainer on merge.

Let's use the tools provided by **FastAPI** to handle security.

## How it looks { #how-it-looks }

Let's first just use the code and see how it works, and then we'll come back to understand what's happening.

## Create `main.py` { #create-main-py }

Copy the example in a file `main.py`:

{* ../../docs_src/security/tutorial001_an_py310.py *}

## Run it { #run-it }

/// info

            assertNotNull(Boolean.valueOf(result), "Validation should return a boolean result for: " + cron);
        }
    }

    // Test edge cases to understand the validation behavior
    @Test
    public void test_edgeCaseBehavior() {
        String[] edgeCases = { "0 0 25 * * ?", // Invalid day of month
                "0 60 * * * ?", // Invalid minute

ARG BASE_IMAGE=ubuntu:22.04@sha256:445586e41c1de7dfda82d2637f5ff688deea9eb5f5812f8c145afacc35b9f0db
FROM $BASE_IMAGE AS devel
# See https://docs.docker.com/reference/dockerfile/#understand-how-arg-and-from-interact
# on why we cannot reference BASE_IMAGE again unless we declare it again.
################################################################################

# Install devtoolset build dependencies

**FastAPI** 커뮤니티의 목표는 친절하고 환영하는 것입니다. 동시에, 괴롭힘이나 무례한 행동을 받아들이지 마세요. 우리는 서로를 돌봐야 합니다.

---

다른 사람들의 질문(디스커션 또는 이슈에서) 해결을 도울 수 있는 방법은 다음과 같습니다.

### 질문 이해하기 { #understand-the-question }

* 질문하는 사람이 가진 **목적**과 사용 사례를 이해할 수 있는지 확인하세요.

* 그런 다음 질문(대부분은 질문입니다)이 **명확**한지 확인하세요.

* 많은 경우 사용자가 상상한 해결책에 대한 질문을 하지만, 더 **좋은** 해결책이 있을 수 있습니다. 문제와 사용 사례를 더 잘 이해하면 더 나은 **대안적인 해결책**을 제안할 수 있습니다.

Pydantic has an official [Migration Guide](https://docs.pydantic.dev/latest/migration/) from v1 to v2.

It also includes what has changed, how validations are now more correct and strict, possible caveats, etc.

You can read it to understand better what has changed.

## Tests { #tests }

Make sure you have [tests](../tutorial/testing.md) for your app and you run them on continuous integration (CI).