You can use this template to get started, as it includes a lot of the initial set up, security, database and some API endpoints already done for you.

GitHub Repository: <a href="https://github.com/tiangolo/full-stack-fastapi-template" class="external-link" target="_blank">Full Stack FastAPI Template</a>

Puedes utilizar esta plantilla para comenzar, ya que incluye gran parte de la configuración inicial, seguridad, base de datos y algunos endpoints de API ya realizados.

Repositorio en GitHub: [Full Stack FastAPI Template](https://github.com/tiangolo/full-stack-fastapi-template)

## Plantilla de FastAPI Full Stack - Tecnología y Características

  private final OkHttpClient client = new OkHttpClient();

  public void run() throws Exception {
    // Use the imgur image upload API as documented at https://api.imgur.com/endpoints/image
    RequestBody requestBody = new MultipartBody.Builder()
        .setType(MultipartBody.FORM)
        .addFormDataPart("title", "Square Logo")
        .addFormDataPart("image", "logo-square.png",

	UDSLogPath            = "/log"
	CNIEventSocketName    = "pluginevent.sock"
	LogUDSSocketName      = "log.sock"
	CNIPluginKubeconfName = "istio-cni-kubeconfig"
	// K8s liveness and readiness endpoints
	LivenessEndpoint   = "/healthz"
	ReadinessEndpoint  = "/readyz"
	ReadinessPort      = "8000"
	ServiceAccountPath = "/var/run/secrets/kubernetes.io/serviceaccount"
)

// Exposed for testing "constants"
var (

package proto

import (
	"bytes"

	"google.golang.org/protobuf/proto"

	"istio.io/istio/pkg/util/protomarshal"
)

// MessageSlice allows us to marshal slices of protobuf messages like clusters/listeners/routes/endpoints correctly
type MessageSlice []proto.Message

// MarshalJSON handles marshaling of slices of proto messages
func (pSlice MessageSlice) MarshalJSON() ([]byte, error) {
	buffer := bytes.NewBufferString("[")

const (
	bootstrap configTypeURL = "type.googleapis.com/envoy.admin.v3.BootstrapConfigDump"
	listeners configTypeURL = "type.googleapis.com/envoy.admin.v3.ListenersConfigDump"
	endpoints configTypeURL = "type.googleapis.com/envoy.admin.v3.EndpointsConfigDump"
	clusters  configTypeURL = "type.googleapis.com/envoy.admin.v3.ClustersConfigDump"
	routes    configTypeURL = "type.googleapis.com/envoy.admin.v3.RoutesConfigDump"

Fess provides a [Google Search Appliance](https://enterprise.google.com/search/products/gsa.html) (GSA) compatible API. To enable this API, set `web.api.gsa=true` to system.properties. This will enable an enpoint at `<Fess Server Name>:8080/gsa`. When a search query is sent to `<Fess Server Name>:8080/gsa/?q=QUERY`, a GSA compatible response will be returned

import okhttp3.RequestBody.Companion.asRequestBody

class PostMultipart {
  private val client = OkHttpClient()

  fun run() {
    // Use the imgur image upload API as documented at https://api.imgur.com/endpoints/image
    val requestBody =
      MultipartBody.Builder()
        .setType(MultipartBody.FORM)
        .addFormDataPart("title", "Square Logo")
        .addFormDataPart(
          "image",

#
# See the storage document at Documentation/storage.md for further information.
storage:
  type: sqlite3
  config:
    file: examples/dex.db

# Configuration for the HTTP endpoints.
web:
  http: 0.0.0.0:5556
  # Uncomment for HTTPS options.
  # https: 127.0.0.1:5554
  # tlsCert: /etc/dex/tls.crt
  # tlsKey: /etc/dex/tls.key

  # Configuration for telemetry
  telemetry:

	prometheusMetricsV2BucketPath   = "/v2/metrics/bucket"
	prometheusMetricsV2NodePath     = "/v2/metrics/node"
	prometheusMetricsV2ResourcePath = "/v2/metrics/resource"

	// Metrics v3 endpoints
	metricsV3Path = "/metrics/v3"
)

// Standard env prometheus auth type
const (
	EnvPrometheusAuthType    = "MINIO_PROMETHEUS_AUTH_TYPE"
	EnvPrometheusOpenMetrics = "MINIO_PROMETHEUS_OPEN_METRICS"
)