client_max_body_size 0;
        # To disable buffering
        proxy_buffering off;
        proxy_request_buffering off;

        location / {
            proxy_set_header Host $http_host;
            proxy_set_header X-Real-IP $remote_addr;
            proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
            proxy_set_header X-Forwarded-Proto $scheme;

RUN pip install --no-cache-dir --upgrade -r /code/requirements.txt

COPY ./app /code/app

CMD ["uvicorn", "app.main:app", "--host", "0.0.0.0", "--port", "80"]

# If running behind a proxy like Nginx or Traefik add --proxy-headers
# CMD ["uvicorn", "app.main:app", "--host", "0.0.0.0", "--port", "80", "--proxy-headers"]
```

</details>

## O que é um Contêiner

	c.connMu.Lock()
	c.debugInConn = conn
	c.connMu.Unlock()
	if c.blockConnect != nil {
		// Block until we are allowed to connect.
		<-c.blockConnect
	}
	if req.Host != c.Remote {
		err := fmt.Errorf("expected remote '%s', got '%s'", c.Remote, req.Host)
		if debugPrint {
			fmt.Println(err)
		}
		return err
	}
	if c.shouldConnect() {
		if debugPrint {

import java.net.UnknownHostException
import okhttp3.Dns

/**
 * Internal Bootstrap DNS implementation for handling initial connection to DNS over HTTPS server.
 *
 * Returns hardcoded results for the known host.
 */
internal class BootstrapDns(
  private val dnsHostname: String,
  private val dnsServers: List<InetAddress>,
) : Dns {
  @Throws(UnknownHostException::class)

         client_max_body_size 0;
         # To disable buffering
         proxy_buffering off;

        location / {
            proxy_set_header Host $http_host;
            proxy_set_header X-Real-IP $remote_addr;
            proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
            proxy_set_header X-Forwarded-Proto $scheme;

# Prevent double-compilation of some TF code, ref. b/183279666 (internal)
# > TF's gen_api_init_files has a genrule to run the core TensorFlow code
# > on the host machine. If we don't have --distinct_host_configuration=false,
# > the core TensorFlow code will be built once for the host and once for the
# > target platform.
# See also https://docs.bazel.build/versions/master/guide.html#build-configurations-and-cross-compilation

#                                                     ------
# Does it send mock mail? (true: no send actually, logging only)
mail.send.mock = false

# SMTP server settings for main: host:port
mail.smtp.server.main.host.and.port = localhost:25

# The prefix of subject to show test environment or not
mail.subject.test.prefix = 

# The common return path of all mail
mail.return.path = root@localhost

#                                                     ------
# Does it send mock mail? (true: no send actually, logging only)
mail.send.mock = false

# SMTP server settings for main: host:port
mail.smtp.server.main.host.and.port = localhost:25

# The prefix of subject to show test environment or not
mail.subject.test.prefix = 

# The common return path of all mail
mail.return.path = root@localhost

  var password: String? = null
  var host = ""
  var port = ""
  var path = ""
  var query = ""
  var fragment = ""

  fun expectParseFailure() = scheme.isEmpty()

  private operator fun set(
    name: String,
    value: String,
  ) {
    when (name) {
      "s" -> scheme = value
      "u" -> username = value
      "pass" -> password = value
      "h" -> host = value
      "port" -> port = value

所以，下面这部分代码才会运行：

```Python
    uvicorn.run(app, host="0.0.0.0", port=8000)
```

---

如果你是导入这个模块（文件）就不会这样。

因此，如果你的另一个文件 `importer.py` 像这样：

```Python
from myapp import app

# Some more code
```

在这种情况下，`myapp.py` 内部的自动变量不会有值为 `"__main__"` 的变量 `__name__`。

所以，下面这一行不会被执行：

```Python
    uvicorn.run(app, host="0.0.0.0", port=8000)
```

/// info