export TFCI_GIT_DIR=$(cd $(dirname "$0"); realpath ../../)
cd "$TFCI_GIT_DIR"

# "TFCI" may optionally be set to the name of an env-type file with TFCI
# variables in it, OR may be left empty if the user has already exported the
# relevant variables in their environment. Because of 'set -o allexport' above
# (which is equivalent to "set -a"), every variable in the file is exported
# for other files to use.
#

from fastapi import FastAPI

app = FastAPI()


@app.get("/users/me")
async def read_user_me():
    return {"user_id": "the current user"}


@app.get("/users/{user_id}")
async def read_user(user_id: str):

    return user_id


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

위의 코드는 다음과 같이 사용될 수 있습니다:

```Python
my_user: User = User(id=3, name="John Doe", joined="2018-07-19")

second_user_data = {
    "id": 4,
    "name": "Mary",
    "joined": "2018-11-30",
}

my_second_user: User = User(**second_user_data)
```

/// info | "정보"

    - context:
        cluster: 54643f96-eca0-11e9-bb97-42010a80000a
        user: 54643f96-eca0-11e9-bb97-42010a80000a
      name: 54643f96-eca0-11e9-bb97-42010a80000a
    current-context: 54643f96-eca0-11e9-bb97-42010a80000a
    kind: Config
    preferences: {}
    users:
    - name: 54643f96-eca0-11e9-bb97-42010a80000a
      user:
        token: token
---
`, clusterNameAnnotationKey, secretName, key)

	flags.StringVar(r.configContext, FlagContext, "",
		"Kubernetes configuration context")
	flags.StringVar(r.impersonate, FlagImpersonate, *r.impersonate,
		"Username to impersonate for the operation. User could be a regular user or a service account in a namespace")
	flags.StringVar(r.impersonateUID, FlagImpersonateUID, *r.impersonateUID, "UID to impersonate for the operation.")

      maxIdleConnections = maxIdleConnections,
      keepAliveDuration = 100L,
      timeUnit = TimeUnit.NANOSECONDS,
      connectionListener = ConnectionListener.NONE,
      exchangeFinderFactory = { pool, address, user ->
        FastFallbackExchangeFinder(
          routePlanner ?: RealRoutePlanner(
            taskRunner = taskRunner,
            connectionPool = pool,
            readTimeoutMillis = 10_000,

package gorm

import "time"

// Model a basic GoLang struct which includes the following fields: ID, CreatedAt, UpdatedAt, DeletedAt
// It may be embedded into your model or you may build your own model without it
//
//	type User struct {
//	  gorm.Model
//	}
type Model struct {
	ID        uint `gorm:"primarykey"`
	CreatedAt time.Time
	UpdatedAt time.Time
	DeletedAt DeletedAt `gorm:"index"`

user  nginx;
worker_processes  auto;

error_log  /var/log/nginx/error.log warn;
pid        /var/run/nginx.pid;


events {
    worker_connections  1024;
}


http {
    include       /etc/nginx/mime.types;
    default_type  application/octet-stream;

    log_format  main  '$remote_addr - $remote_user [$time_local] "$request" '
                      '$status $body_bytes_sent "$http_referer" '

      For new upload configuration, which new counters will be collected, what
      do they measure, and why is it important to collect them?
      Note that uploaded data must not carry sensitive user information.
      See [go.dev/doc/telemetry#proposals](https://go.dev/doc/telemetry#proposals)
      for more details on telemetry proposals.
  validations:
    required: true
- type: input
  attributes:

from fastapi import FastAPI, Header
from typing_extensions import Annotated

app = FastAPI()


@app.get("/items/")
async def read_items(user_agent: Annotated[Union[str, None], Header()] = None):