from fastapi import FastAPI

app = FastAPI()


@app.get("/items/", openapi_extra={"x-aperture-labs-portal": "blue"})
async def read_items():

Use and transfer of Docker may be subject to certain restrictions by the
United States and other governments.
It is your responsibility to ensure that your use and/or transfer does not
violate applicable laws.

For more information, please see https://www.bis.doc.gov

# https://squidfunk.github.io/mkdocs-material/
# It requires Python to run.
# Install the packages with the following command:
# pip install mkdocs mkdocs-material mkdocs-redirects

set -ex

# Test generating the javadoc jars
./gradlew publishToMavenLocal -DRELEASE_SIGNING_ENABLED=false

# Generate the API docs
./gradlew dokkaHtmlMultiModule

mv ./build/dokka/htmlMultiModule docs/4.x

	objAPI := api.ObjectAPI()
	if objAPI == nil {
		writeErrorResponse(ctx, w, errorCodes.ToAPIErr(ErrServerNotInitialized), r.URL)
		return
	}

	vars := mux.Vars(r)
	bucket := vars["bucket"]

	if s3Error := checkRequestAuthType(ctx, r, policy.PutBucketEncryptionAction, bucket, ""); s3Error != ErrNone {
		writeErrorResponse(ctx, w, errorCodes.ToAPIErr(s3Error), r.URL)
		return
	}

            CACHEBUSTER=${{ steps.vars.outputs.DATE }}
          tags: |
            tensorflow/build:${{ steps.vars.outputs.REF }}-${{ matrix.python-version }}
            gcr.io/tensorflow-sigs/build:${{ steps.vars.outputs.REF }}-${{ matrix.python-version }}
          cache-from: type=registry,ref=tensorflow/build:${{ steps.vars.outputs.REF }}-${{ matrix.python-version }}
          cache-to: type=inline
      -

        extendsFrom baseline
        attributes.attribute(ARTIFACT_TYPE, 'gradle-classpath')
    }
    baselineJars {
        extendsFrom baseline
        attributes.attribute(ARTIFACT_TYPE, 'gradle-baseline-jars')
    }
    currentClasspath {
        canBeConsumed = false
        canBeResolved = false
        visible = false
    }
    currentApiClasspath {
        canBeConsumed = false
        canBeResolved = true

	ctx := newContext(r, w, "PutObjectACL")

	defer logger.AuditLog(ctx, w, r, mustGetClaimsFromToken(r))

	vars := mux.Vars(r)
	bucket := vars["bucket"]
	object, err := unescapePath(vars["object"])
	if err != nil {
		writeErrorResponse(ctx, w, toAPIError(ctx, err), r.URL)
		return
	}

	objAPI := api.ObjectAPI()
	if objAPI == nil {

      - name: github sha short
        id: vars
        run: echo "sha_short=$(git rev-parse --short HEAD)" >> $GITHUB_OUTPUT

      - name: build-minio
        run: |
          TAG="quay.io/minio/minio:${{ steps.vars.outputs.sha_short }}" make docker

      - name: multipart uploads test
        run: |
          ${GITHUB_WORKSPACE}/.github/workflows/multipart/migrate.sh "${{ steps.vars.outputs.sha_short }}"

	objAPI := api.ObjectAPI()
	if objAPI == nil {
		writeErrorResponse(ctx, w, errorCodes.ToAPIErr(ErrServerNotInitialized), r.URL)
		return
	}

	vars := mux.Vars(r)
	bucket := vars["bucket"]

	if s3Error := checkRequestAuthType(ctx, r, policy.PutBucketPolicyAction, bucket, ""); s3Error != ErrNone {
		writeErrorResponse(ctx, w, errorCodes.ToAPIErr(s3Error), r.URL)
		return
	}

* **Güvenli şifreleme** .
* **JWT token** kimlik doğrulama.
* **SQLAlchemy** models (Flask dan bağımsızdır. Celery worker'ları ile kullanılabilir).
* Kullanıcılar için temel başlangıç ​​modeli (gerektiği gibi değiştirin ve kaldırın).
* **Alembic** migration.
* **CORS** (Cross Origin Resource Sharing).
* **Celery** worker'ları ile backend içerisinden seçilen işleri çalıştırabilirsiniz.