Provide generic DockerContainer with init attributes

First I want to thank you for this very nice and convenient library.

Background

I am using the library for smoke tests for microservices. In these tests I spin up a container and make sure I can e.g., fetch an endpoint and see that the container is built and starts correctly.

The library provides all convenient methods, except for a way to set e.g., ports and env variables in the context manager. To solve this I have subclassed testcontainers.core.container.DockerContainer into a class as below:

from typing import Any

import testcontainers.core.container

class ContainerContext(testcontainers.core.container.DockerContainer):
    def __init__(
        self, image: str, ports: list[int], env_vars: dict[str, str], **kwargs: Any
    ) -> None:
        super().__init__(image, **kwargs)

        self.with_exposed_ports(*ports)
        for env, value in env_vars.items():
            self.with_env(env, value)

and use it as

import requests

def test_smoke():
    with container_context(
        "my_service_image",
        ports=[8000],
        env_vars={"SOME_ENV_SETTINGS": "some_value", "SOME_ENV_SETTINGS2": "other_value"},
    ) as con:
        r = requests.get(
            f"http://{con.get_container_host_ip()}:{con.get_exposed_port(8000)}"
        )
        assert r

Proposal

• Include a generic container class where all name, ports, env, volumes, … can be set as init variables.

I saw #114 that removed the previous GenericContainer but I don't see a motivation why it was done and why it could not be extended.

Examinez testcontainers.core.container.DockerContainer ainsi que la suppression précédente de GenericContainer discutée dans #114. Comparez les attributs d'initialisation demandés —name, ports, env et volumes— avec l'API de conteneur existante, et considérez la proposition comme terminée lorsqu'un conteneur générique peut configurer ces valeurs lors de l'initialisation sans sous-classement.