policy = daily { hour = triggerHour },
                            pendingChangesOnly = true,
                        )
                    }

                else -> {
                    schedule {
                        scheduledTrigger(
                            branch,
                            policy = daily { hour = triggerHour },

    path: str
    file: str
    line: int


class HTTPException(StarletteHTTPException):
    """
    An HTTP exception you can raise in your own code to show errors to the client.

    This is for client errors, invalid authentication, invalid data, etc. Not for server
    errors in your code.

    Read more about it in the
    [FastAPI docs for Handling Errors](https://fastapi.tiangolo.com/tutorial/handling-errors/).

        »»»

    Source (English):

        «««
        ### Run Your Program { #run-your-program }
        »»»

    Translate with (German):

        «««
        ### Ihr Programm ausführen { #run-your-program }
        »»»

    Do NOT translate with (German):

        «««
        ### Führen Sie Ihr Programm aus { #run-your-program }
        »»»

                                dayOfWeek = ScheduleTrigger.DAY.Saturday
                                hour = 1
                            }
                    } else {
                        schedulingPolicy =
                            daily {
                                hour = 0
                                minute = 30
                            }
                    }

/// tip

**GraphQL** solves some very specific use cases.

It has **advantages** and **disadvantages** when compared to common **web APIs**.

Make sure you evaluate if the **benefits** for your use case compensate the **drawbacks**. 🤓

///

## GraphQL Libraries { #graphql-libraries }

Here are some of the **GraphQL** libraries that have **ASGI** support. You could use them with **FastAPI**:

Isso funciona da mesma forma que com os modelos Pydantic. E na verdade é alcançado da mesma maneira por baixo dos panos, usando Pydantic.

/// 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. 🤓

///

There are special blocks surrounded by four slashes («////»). They mark text, which will be rendered as part of a tab in the final document. The scheme is:

    //// tab | {tab title}
    {tab content, may span many lines}
    ////

Keep everything before the vertical bar («|») as is, including the vertical bar. Translate the tab title. Translate the tab content, applying the rules you know. Keep the four block closing slashes as is.

Examples:

Así que, incluso con el código anterior que no usa Pydantic explícitamente, FastAPI está usando Pydantic para convertir esos dataclasses estándar en su propia versión de dataclasses de Pydantic.

Y por supuesto, soporta lo mismo:

* validación de datos
* serialización de datos
* documentación de datos, etc.

        triggers {
            branch.determineNightlyPromotionTriggerHour()?.let { triggerHour ->
                schedule {
                    scheduledTrigger(branch, policy = daily { this.hour = triggerHour }, pendingChangesOnly = true)
                }
            }
        }
    }

                branchFilter = "+:master"
                enabled = enableTriggers
            }
            schedule {
                schedulingPolicy =
                    daily {
                        hour = 3
                    }
                branchFilter = "+:master"
                triggerBuild = always()
                withPendingChangesOnly = false
                enabled = enableTriggers
            }