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How to use get_bootstrap_server method in testcontainers-python

Best Python code snippet using testcontainers-python_python

test_detection_service.py

Source:test_detection_service.py

...12        value=json.dumps(message),13    )14    detection_service.producer.flush()15def create_topics(container):16    create_topic(container.get_bootstrap_server(), OUTPUT_TOPIC)17    create_topic(container.get_bootstrap_server(), SCAN_TOPIC)18    create_topic(container.get_bootstrap_server(), FISHING_TOPIC)19def get_output_consumer(kafka):20    output_consumer = get_consumer(kafka.get_bootstrap_server())21    output_consumer.subscribe([OUTPUT_TOPIC])22    return output_consumer23def get_fishing_topic(kafka):24    fishing_consumer = get_consumer(kafka.get_bootstrap_server())25    fishing_consumer.subscribe([FISHING_TOPIC])26    return fishing_consumer27def get_scan_consumer(container):28    scan_consumer = get_consumer(container.get_bootstrap_server())29    scan_consumer.subscribe([SCAN_TOPIC])30    return scan_consumer31class TestDetectionService(unittest.TestCase):32    def test_no_engine_send_to_scan_topic(self):33        with KafkaContainer("confluentinc/cp-kafka:latest") as container:34            create_topics(container)35            detection_service.producer = get_producer(container.get_bootstrap_server())36            send_message({"transaction_id": 1, "is_phishing": False})37            detection_service.producer.flush()38            output_consumer = get_output_consumer(container)39            detection_service.consume_message(output_consumer)40            output_consumer.close()41            scan_consumer = get_scan_consumer(container)42            msg = scan_consumer.poll(5.0)43            assert msg is not None44            assert (45                msg.value().decode("utf-8")46                == '{"transaction_id": 1, "is_phishing": false}'47            )48    def test_engine_exists_phishing_false(self):49        with KafkaContainer("confluentinc/cp-kafka:latest") as kafka:50            create_topics(kafka)51            detection_service.producer = get_producer(kafka.get_bootstrap_server())52            send_message(53                {54                    "transaction_id": 1,55                    "is_phishing": False,56                    "engine_name": "engine1",57                }58            )59            output_consumer = get_output_consumer(kafka)60            detection_service.consume_message(output_consumer)61            output_consumer.close()62            fishing_consumer = get_fishing_topic(kafka)63            msg = fishing_consumer.poll(5.0)64            assert msg is None65            scan_consumer = get_scan_consumer(kafka)66            msg = scan_consumer.poll(5.0)67            assert msg is None68    def test_engine_exists_phishing_true(self):69        with KafkaContainer(70            "confluentinc/cp-kafka:latest"71        ) as kafka, RedisContainer() as redis_container:72            create_topics(kafka)73            detection_service.producer = get_producer(kafka.get_bootstrap_server())74            detection_service.redis = redis.Redis(75                host="localhost", port=int(redis_container.get_exposed_port(6379)), db=076            )77            output_consumer = get_output_consumer(kafka)78            for x in range(2):79                send_message(80                    {81                        "transaction_id": 1,82                        "is_phishing": True,83                        "engine_name": "engine1",84                    }85                )86                detection_service.consume_message(output_consumer)87            output_consumer.close()...

kafka.py

Source:kafka.py

...31        self.with_env("KAFKA_OFFSETS_TOPIC_REPLICATION_FACTOR", "1")32        self.with_env("KAFKA_OFFSETS_TOPIC_NUM_PARTITIONS", "1")33        self.with_env("KAFKA_LOG_FLUSH_INTERVAL_MESSAGES", "10000000")34        self.with_env("KAFKA_GROUP_INITIAL_REBALANCE_DELAY_MS", "0")35    def get_bootstrap_server(self):36        return f"{self.get_container_host_ip()}:{self.get_exposed_port(self.port_to_expose)}"37    def start(self):38        self.with_command(39            f'sh -c "while [ ! -f {self.START_SCRIPT_PATH} ]; do sleep 0.1; done; sh {self.START_SCRIPT_PATH}"'40        )41        super().start()42        self._start_kafka()43        self.is_ready()44        return self45    def _start_kafka(self):46        start_script = (47            dedent(48                f"""49            #!/usr/bin/env bash50            set -e51            echo "clientPort=2181" > zookeeper.properties52            echo "dataDir=/var/lib/zookeeper/data" >> zookeeper.properties53            echo "dataLogDir=/var/lib/zookeeper/log" >> zookeeper.properties54            zookeeper-server-start zookeeper.properties &55            export KAFKA_ZOOKEEPER_CONNECT="localhost:2181"56            KAFKA_ADVERTISED_LISTENERS="PLAINTEXT://localhost:{self.get_exposed_port(self.port_to_expose)},BROKER://$(hostname -i):9092"57            export KAFKA_ADVERTISED_LISTENERS58            . /etc/confluent/docker/bash-config59            /etc/confluent/docker/configure60            /etc/confluent/docker/launch61        """62            )63            .strip()64            .encode("utf-8")65        )66        self.copy(start_script, self.START_SCRIPT_PATH)67    def copy(self, content: bytes, path: str):68        with BytesIO() as archive, tarfile.TarFile(fileobj=archive, mode="w") as tar:69            tarinfo = tarfile.TarInfo(name=path)70            tarinfo.size = len(content)71            tarinfo.mtime = time.time()72            tar.addfile(tarinfo, BytesIO(content))73            archive.seek(0)74            self.get_wrapped_container().put_archive("/", archive)75    @wait_container_is_ready()76    def is_ready(self) -> bool:77        consumer = KafkaConsumer(78            group_id="test",79            bootstrap_servers=self.get_bootstrap_server(),80        )81        if not consumer.topics():82            raise KafkaError(83                f"Could not connect to Kafka at {self.get_bootstrap_server()}"84            )...

main.py

Source:main.py

...29    return parser30def get_topic():31    parser = get_config_parser()32    return parser.get('destination', 'topic')33def get_bootstrap_server():34    parser = get_config_parser()35    return parser.get('destination', 'bootstrap_server')36def publish_on_topic(user_details: UserDetails):37    global producer38    if producer is None:39        producer = KeyboardInputProducer(bootstrap_server=get_bootstrap_server(), topic=get_topic())40    producer.publish_message(user_details)41def send_message(message):42    if message == '' or message is None: return43    ip = get_ip_address()44    user_details = UserDetails(ip, message)45    add_to_cache(user_details)46def clear_cache():47    global cache48    cache = []49def add_to_cache(details: UserDetails):50    global cache51    global cache_size52    cache.append(details)53    if len(cache) > cache_size:...

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