// GenerateKey generates a new data encryption key using the
	// key referenced by the key ID.
	//
	// The KMS may use a default key if the key ID is empty.
	// GenerateKey returns an error if the referenced key does
	// not exist.
	//
	// The context is associated and tied to the generated DEK.
	// The same context must be provided when the generated key
	// should be decrypted. Therefore, it is the callers

org.apache.maven.its.plugins maven-it-plugin 0.1 it false true generate-metadata Does nothing. compile false true false false false true process-classes org.apache.maven.plugin.coreit.DMojo java per-lookup once-per-session java Does nothing. false true false false false true generate-sources org.apache.maven.plugin.coreit.AMojo java per-lookup once-per-session models java.lang.String[] false true version java.lang.String false true ${version} generate-test-metadata Does nothing. test false true false false...

org.apache.maven.its.plugins maven-it-plugin 0.1 it false true generate-metadata Does nothing. compile false true false false false true process-classes org.apache.maven.plugin.coreit.DMojo java per-lookup once-per-session java Does nothing. false true false false false true generate-sources org.apache.maven.plugin.coreit.AMojo java per-lookup once-per-session models java.lang.String[] false true version java.lang.String false true ${version} generate-test-metadata Does nothing. test false true false false...

istioctl profile dump default > 1.yaml
istioctl profile dump demo > 2.yaml
istioctl profile diff 1.yaml 2.yaml

# show the differences in the generated manifests between the default profile and a customized install
istioctl manifest generate > 1.yaml
istioctl manifest generate -f samples/pilot-k8s.yaml > 2.yaml
istioctl manifest diff 1.yam1 2.yaml
```

The profile dump sub-command supports a couple of useful flags:

async def dependency_a():
    dep_a = generate_dep_a()
    try:
        yield dep_a
    finally:
        dep_a.close()


async def dependency_b(dep_a=Depends(dependency_a)):
    dep_b = generate_dep_b()
    try:
        yield dep_b
    finally:
        dep_b.close(dep_a)


async def dependency_c(dep_b=Depends(dependency_b)):
    dep_c = generate_dep_c()
    try:
        yield dep_c
    finally:

from fastapi import Depends
from typing_extensions import Annotated


async def dependency_a():
    dep_a = generate_dep_a()
    try:
        yield dep_a
    finally:
        dep_a.close()


async def dependency_b(dep_a: Annotated[DepA, Depends(dependency_a)]):
    dep_b = generate_dep_b()
    try:
        yield dep_b
    finally:
        dep_b.close(dep_a)

    private static final String[] PHASES = {
        "validate",
        "initialize",
        "generate-sources",
        "process-sources",
        "generate-resources",
        "process-resources",
        "compile",
        "process-classes",
        "generate-test-sources",
        "process-test-sources",
        "generate-test-resources",
        "process-test-resources",
        "test-compile",

{!../../../docs_src/extending_openapi/tutorial001.py!}
```

### Cache the OpenAPI schema

You can use the property `.openapi_schema` as a "cache", to store your generated schema.

That way, your application won't have to generate the schema every time a user opens your API docs.

It will be generated only once, and then the same cached schema will be used for the next requests.

```Python hl_lines="13-14  25-26"

	var buffer bytes.Buffer
	// data to be written into buffer.
	data := "1234567890"
	// seed the random number generator once.
	rand.Seed(3)
	// generate a random number between 13 and 200.
	randInt := getRandomRange(13, 200, -1)
	// write into buffer till length of the buffer is greater than the generated random number.
	for i := 0; i <= randInt; i += 10 {
		buffer.WriteString(data)
	}

from fastapi import FastAPI
from fastapi.routing import APIRoute
from pydantic import BaseModel


def custom_generate_unique_id(route: APIRoute):
    return f"{route.tags[0]}-{route.name}"


app = FastAPI(generate_unique_id_function=custom_generate_unique_id)


class Item(BaseModel):
    name: str
    price: float


class ResponseMessage(BaseModel):
    message: str


class User(BaseModel):
    username: str