https://docs.minio.io/docs/distributed-minio-quickstart-guide ## rootUser: "" rootPassword: "" ## Use existing Secret that store following variables: ## ## | Chart var | .data.<key> in Secret | ## |:-------- ## | rootUser | rootUser | ## | rootPassword | rootPassword | ## ## All mentioned variables will be ignored in values file. ## .data.rootUser and .data.rootPassword are mandatory, ## others depend on enabled status of corresponding sections. existingSecret: "" ## Directory on the MinIO pof certsPath: "/etc/minio/certs/"...

If you look at it, *path operation functions* are declared to be used whenever a *path* and *operation* matches, and then **FastAPI** takes care of calling the function with the correct parameters, extracting the data from the request.

Actually, all (or most) of the web frameworks work in this same way.

You never call those functions directly. They are called by your framework (in this case, **FastAPI**).

Вы пишете стандартный Python с типами:

```Python
from datetime import date

from pydantic import BaseModel

# Объявляем параметр как `str`
# и получаем поддержку редактора кода внутри функции
def main(user_id: str):
    return user_id


# Модель Pydantic
class User(BaseModel):
    id: int
    name: str
    joined: date
```

Это можно использовать так:

```Python

Wenn Sie beispielsweise einen Header-Parameter `save_data` im Code haben, wird der erwartete HTTP-Header `save-data` sein, und er wird auch so in der Dokumentation angezeigt.

Falls Sie aus irgendeinem Grund diese automatische Umwandlung deaktivieren müssen, können Sie dies auch für Pydantic-Modelle für Header-Parameter tun.

    // ===================================================================================================
    /**
     * Helper class to traverse graph. Required to make the containing method thread-safe
     * and yet use class level data to lessen stack usage in recursion
     */
    private class ClasspathGraphVisitor {
        MetadataGraph graph;

        ClasspathContainer cpc;

        List<MetadataGraphVertex> visited;

import org.codehaus.plexus.personality.plexus.lifecycle.phase.Disposable;
import org.eclipse.aether.graph.DependencyFilter;

/**
 * Default project realm cache implementation. Assumes cached data does not change.
 */
@Named
@Singleton
public class DefaultProjectRealmCache implements ProjectRealmCache, Disposable {
    /**
     * CacheKey
     */
    protected static class CacheKey implements Key {

///

## Ejecuta tu código con tu depurador { #run-your-code-with-your-debugger }

Dado que estás ejecutando el servidor Uvicorn directamente desde tu código, puedes llamar a tu programa de Python (tu aplicación FastAPI) directamente desde el depurador.

---

Por ejemplo, en Visual Studio Code, puedes:

import org.jetbrains.kotlin.config.JVMConfigurationKeys
import org.jetbrains.kotlin.psi.KtFile
import org.jetbrains.kotlin.utils.PathUtil
import java.io.File


class KotlinSourceParser {

    data class ParsedKotlinFiles(

        val ktFiles: List<KtFile>,

        private
        val disposable: Disposable

    ) : AutoCloseable {

        override fun close() {

 * under the License.
 */
package org.apache.maven.model;

import java.util.stream.Collectors;

/**
 * Class InputLocation.
 *
 * @version $Revision$ $Date$
 */
@SuppressWarnings("all")
public final class InputLocation implements java.io.Serializable, Cloneable, InputLocationTracker {

    // --------------------------/
    // - Class/Member Variables -/

		}
	}
	defer syscall.Close(fd)

	bufp := direntPool.Get()
	defer direntPool.Put(bufp)
	buf := *bufp

	boff := 0 // starting read position in buf
	nbuf := 0 // end valid data in buf

	for {
		if boff >= nbuf {
			boff = 0
			stop := globalOSMetrics.time(osMetricReadDirent)
			nbuf, err = syscall.ReadDirent(fd, buf)
			stop()
			if err != nil {
				if isSysErrNotDir(err) {