But still, FastAPI got quite some inspiration from Requests.

**Requests** is a library to *interact* with APIs (as a client), while **FastAPI** is a library to *build* APIs (as a server).

They are, more or less, at opposite ends, complementing each other.

Requests has a very simple and intuitive design, it's very easy to use, with sensible defaults. But at the same time, it's very powerful and customizable.

# SQL (Relational) Databases

!!! info
    These docs are about to be updated. 🎉

    The current version assumes Pydantic v1, and SQLAlchemy versions less than 2.0.

    The new docs will include Pydantic v2 and will use <a href="https://sqlmodel.tiangolo.com/" class="external-link" target="_blank">SQLModel</a> (which is also based on SQLAlchemy) once it is updated to use Pydantic v2 as well.

**FastAPI** doesn't require you to use a SQL (relational) database.

	if p.QueueDir != "" {
		if !filepath.IsAbs(p.QueueDir) {
			return errors.New("queueDir path should be absolute")
		}
	}

	if p.MaxOpenConnections < 0 {
		return errors.New("maxOpenConnections cannot be less than zero")
	}

	return nil
}

// PostgreSQLTarget - PostgreSQL target.
type PostgreSQLTarget struct {
	initOnce once.Init

	id         event.TargetID
	args       PostgreSQLArgs

!!! note
    When defining a <a href="https://docs.pydantic.dev/latest/concepts/types/#unions" class="external-link" target="_blank">`Union`</a>, include the most specific type first, followed by the less specific type. In the example below, the more specific `PlaneItem` comes before `CarItem` in `Union[PlaneItem, CarItem]`.

=== "Python 3.10+"

    ```Python hl_lines="1  14-15  18-20  33"

* **Intuitive**: Great editor support. <abbr title="also known as auto-complete, autocompletion, IntelliSense">Completion</abbr> everywhere. Less time debugging.
* **Easy**: Designed to be easy to use and learn. Less time reading docs.
* **Short**: Minimize code duplication. Multiple features from each parameter declaration. Fewer bugs.

            Doc(
                """
                Configuration passed to Pydantic to define if the response data should
                exclude fields set to `None`.

                This is much simpler (less smart) than `response_model_exclude_unset`
                and `response_model_exclude_defaults`. You probably want to use one of
                those two instead of this one, as those allow returning `None` values

 * atomic unless otherwise noted.
 *
 * <p>Instances of this class are serializable if the keys are serializable.
 *
 * <p><b>Note:</b> If your values are always positive and less than 2^31, you may wish to use a
 * {@link com.google.common.collect.Multiset} such as {@link
 * com.google.common.collect.ConcurrentHashMultiset} instead.
 *

ENV_BLOCKLIST="${ENV_BLOCKLIST:-^_\|^PATH=\|^GOPATH=\|^GOROOT=\|^SHELL=\|^EDITOR=\|^TMUX=\|^USER=\|^HOME=\|^PWD=\|^TERM=\|^RUBY_\|^GEM_\|^rvm_\|^SSH=\|^TMPDIR=\|^CC=\|^CXX=\|^MAKEFILE_LIST=}"

# Remove functions from the list of exported variables, they mess up with the `env` command.
for f in $(declare -F -x | cut -d ' ' -f 3);
do
  unset -f "${f}"
done

# Set conditional host mounts
CONDITIONAL_HOST_MOUNTS="${CONDITIONAL_HOST_MOUNTS:-} "

	m.respWait = out
}

// RequestStream will send a single payload request and stream back results.
// 'requests' can be nil, in which case only req is sent as input.
// It will however take less resources.
func (m *muxClient) RequestStream(h HandlerID, payload []byte, requests chan []byte, responses chan Response) (*Stream, error) {
	if m.init {
		return nil, errors.New("mux client already used")
	}

// sort.Sort call, can be used to prepare arbitrary inputs for use as sets.
func uniq(data sort.Interface) (size int) {
	p, l := 0, data.Len()
	if l <= 1 {
		return l
	}
	for i := 1; i < l; i++ {
		if !data.Less(p, i) {
			continue
		}
		p++
		if p < i {
			data.Swap(p, i)
		}
	}
	return p + 1
}

// Remove any duplicates and return unique entries.
func uniqueEntries(paths []string) []string {