If you have ktlint errors, you can automatically fix them by running `mvn com.github.gantsign.maven:ktlint-maven-plugin:1.1.1:format`.

## How the configuration works

We use Kotlin portable DSL to store TeamCity configuration, which means you can easily create a new pipeline
based on a specific branch. Currently, we have two pipelines: `master` and `release`, but you can easily create

async def read_items():
    return [{"item_id": "Foo"}]


def use_route_names_as_operation_ids(app: FastAPI) -> None:
    """
    Simplify operation IDs so that generated API clients have simpler function
    names.

    Should be called only after all routes have been added.
    """
    for route in app.routes:
        if isinstance(route, APIRoute):
            route.operation_id = route.name  # in this case, 'read_items'

	// If we have have any records left, return these before any error.
	for len(r.current) <= r.recordsRead {
		if r.err != nil {
			return nil, r.err
		}
		// Move to next block
		item, ok := <-r.queue
		if !ok {
			r.err = io.EOF
			return nil, r.err
		}
		//nolint:staticcheck // SA6002 Using pointer would allocate more since we would have to copy slice header before taking a pointer.

### Create with `HeroCreate` and return a `HeroPublic`

Now that we have **multiple models**, we can update the parts of the app that use them.

We receive in the request a `HeroCreate` *data model*, and from it, we create a `Hero` *table model*.

This new *table model* `Hero` will have the fields sent by the client, and will also have an `id` generated by the database.

At this point, the pod and all containers have fully shut down, and we can tear everything down.

Because the application(s) are already entirely gone, there is no need to have any "draining" time -- we can immediately terminate.

     *       thread
     *   <li>If this field's value == null because of unsafe publication, we know that it isn't the
     *       object associated with our thread, because if it was the publication wouldn't have been
     *       unsafe and we'd have seen our thread as the value. This state is also why a new
     *       ThreadConfinedTaskQueue object must be created for each inline execution, because

                    },
                    "summary": "Create an item",
                    "description": "Create an item with all the information:\n\n- **name**: each item must have a name\n- **description**: a long description\n- **price**: required\n- **tax**: if the item doesn't have tax, you can omit this\n- **tags**: a set of unique tag strings for this item",
                    "operationId": "create_item_items__post",
                    "requestBody": {

                    // only have second precision
                    // there seems to be some random factor (adding one second)
                    int diff = Math.abs((int) ( ( time / 1000 ) - ( f.lastModified() / 1000 ) ));
                    Assert.assertTrue("Have set time correctly", diff < 2);
                }
                else {

async def create_item(item: Item):
    """
    Create an item with all the information:

    - **name**: each item must have a name
    - **description**: a long description
    - **price**: required
    - **tax**: if the item doesn't have tax, you can omit this
    - **tags**: a set of unique tag strings for this item
    """

		// There is at least one SSE-S3 single-part object.
		// For all SSE-S3 single-part objects we have to
		// fetch their decryption keys. We do this using
		// a Bulk-Decryption API call, if available.
		keys, err := crypto.S3.UnsealObjectKeys(ctx, k, metadata, buckets, names)
		if err != nil {
			return err
		}

		// Now, we have to decrypt the ETags of SSE-S3 single-part
		// objects and adjust the size and ETags of all encrypted