logins:
  - jina-ai
  - deta
  - investsuite
  - mikeckennedy
  - deepset-ai
  - cryptapi
  - xoflare
  - DropbaseHQ
  - VincentParedes
  - BLUE-DEVIL1134
  - ObliviousAI
  - Doist
  - nihpo
  - armand-sauzay
  - databento-bot
  - databento
  - nanram22
  - Flint-company
  - porter-dev
  - fern-api
  - ndimares
  - svixhq
  - Alek99
  - codacy
  - zanfaruqui
  - scalar
  - bump-sh

---

        int ai;

        if ( resolveSids ) {
            if (this.fileLocator.getDfsPath() == null && this.fileLocator.getPort() != -1) {
                server = server + ":" + this.fileLocator.getPort();
            }
            SID[] sids = new SID[aces.length];
            for ( ai = 0; ai < aces.length; ai++ ) {
                sids[ ai ] = aces[ ai ].getSID();
            }

/// info | Informação

Lembre-se de que dataclasses não podem fazer tudo o que os modelos Pydantic podem fazer.

Então, você ainda pode precisar usar modelos Pydantic.

Mas se você tem um monte de dataclasses por aí, este é um truque legal para usá-las para alimentar uma API web usando FastAPI. 🤓

///

## Dataclasses em `response_model`

Você também pode usar `dataclasses` no parâmetro `response_model`:

"_We've switched over to **FastAPI** for our **APIs** [...] I think you'll like it [...]_"

"_We've switched over to **FastAPI** for our **APIs** [...] I think you'll like it [...]_"

        }
    }

    private AuthenticationInfo authenticationInfo(ArtifactRepository repository) {
        AuthenticationInfo ai = new AuthenticationInfo();
        ai.setUserName(repository.getAuthentication().getUsername());
        ai.setPassword(repository.getAuthentication().getPassword());
        return ai;
    }

    private ProxyInfo proxyInfo(ArtifactRepository repository) {
        ProxyInfo proxyInfo = new ProxyInfo();

    url: https://github.com/databento
  - login: svix
    avatarUrl: https://avatars.githubusercontent.com/u/80175132?v=4
    url: https://github.com/svix
  - login: deepset-ai
    avatarUrl: https://avatars.githubusercontent.com/u/51827949?v=4
    url: https://github.com/deepset-ai
  - login: mikeckennedy
    avatarUrl: https://avatars.githubusercontent.com/u/2035561?u=ce6165b799ea3164cb6f5ff54ea08042057442af&v=4
    url: https://github.com/mikeckennedy

「_我们已经将 **API** 服务切换到了 **FastAPI** [...] 我认为你会喜欢它的 [...]_」

    title: Deploy & scale any full-stack web app on Render. Focus on building apps, not infra.
    img: https://fastapi.tiangolo.com/img/sponsors/render.svg
silver:
  - url: https://github.com/deepset-ai/haystack/
    title: Build powerful search from composable, open source building blocks
    img: https://fastapi.tiangolo.com/img/sponsors/haystack-fastapi.svg
  - url: https://databento.com/