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How to use get_running_container_names method in localstack

Best Python code snippet using localstack_python

utils.py

Source:utils.py

...95        elapsed_in_s = now - last_time96        if elapsed_in_s < cached_s:97            recalc = False98    if recalc:99        names = get_running_container_names()100        CACHE[key] = {"last_time": now, "names": names}101    else:102        names = CACHE[key]["names"]103    return names104def get_stdout_file_in_container(directory: str, outfile_name: str = "") -> str:105    settings = get_replik_settings(directory)106    project_name = settings["name"]107    now = datetime.now()108    dt_string = now.strftime("%Y%m%d_%H%M%S")109    if len(outfile_name) == 0:110        return f"/home/user/{project_name}/.rp/logs/stdout_{dt_string}.log"111    else:112        return f"/home/user/{project_name}/.rp/logs/{outfile_name}_{dt_string}.log"113def get_free_resources_cached(cached_s=2.0, debug=False):114    """get resources is expensive! Query only once in a short time!"""115    global CACHE116    key = "get_free_resources"117    now = time()118    recalc = True119    if key in CACHE:120        last_time = CACHE[key]["last_time"]121        elapsed_in_s = now - last_time122        if elapsed_in_s < cached_s:123            recalc = False124    if recalc:125        if debug:126            print("[debug|get_free_resources_cached] recalc!")127        free_cpu, free_mem, free_gpus = get_free_resources(debug)128        CACHE[key] = {129            "last_time": now,130            "free_cpu": free_cpu,131            "free_mem": free_mem,132            "free_gpus": free_gpus,133        }134    else:135        if debug:136            print("[debug|get_free_resources_cached] cached!")137        free_cpu = CACHE[key]["free_cpu"]138        free_mem = CACHE[key]["free_mem"]139        free_gpus = CACHE[key]["free_gpus"]140    return free_cpu, free_mem, free_gpus141def get_free_resources(debug: bool):142    free_cpu = get_ncpu()143    free_mem, _ = get_memory()144    for proc in get_currently_running_docker_procs(debug=debug):145        free_cpu -= proc.cpu146        free_mem -= proc.mem147    free_gpus = get_free_gpu_device_ids()148    return free_cpu, free_mem, free_gpus149def get_unique_id(settings):150    """151    unique id for this run152    """153    rand = random.uniform(0.1, 2.5)154    txt = f"{settings['tag']}_{time()}_{rand}"155    return txt156def get_frozen_image_path(directory: str) -> str:157    """158    Path to the frozen image159    """160    info = utils.get_replik_settings(directory)161    project_name = info["name"]162    return join(get_dockerdir(directory), f"frozen_{project_name}_image.tar")163def get_dockerdir(directory: str) -> str:164    return join(directory, "docker")165def get_tempdockerdir(directory: str) -> str:166    unique_name = f"{time()}"167    path = join(directory, f".cache/rp/docker/{unique_name}")168    return path169def replik_root_file(directory: str) -> str:170    """171    {root}/.rp172    """173    return join(directory, ".rp/info.json")174def is_replik_project(directory: str) -> bool:175    """"""176    return isfile(replik_root_file(directory))177def get_replik_settings(directory: str) -> Dict:178    """"""179    if not is_replik_project(directory):180        console.fail(f"Directory {directory} is no rp project")181        exit(0)  # exit program182    replik_fname = replik_root_file(directory)183    with open(replik_fname, "r") as f:184        return json.load(f)185def get_ncpu():186    return multiprocessing.cpu_count()187def get_memory():188    mem = psutil.virtual_memory()189    total = mem.total / (1024.0 ** 3)190    available = mem.available / (1024.0 ** 3) * 0.95191    return int(total), int(available)192def get_paths_for_mapping(directory):193    assert is_replik_project(directory=directory)194    fname = get_paths_fname(directory)195    with open(fname, "r") as f:196        return json.load(f)197def kill_container(name: str):198    """"""199    return call(f"docker kill {name}", shell=True)200def get_running_container_names():201    """202    get the names of all currently running rp containers203    """204    return [205        f.replace('"', "")206        for f in (207            subprocess.run(208                ["docker", "ps", "--format", '"{{.Names}}"'], stdout=subprocess.PIPE209            )210            .stdout.decode("utf-8")211            .lower()212            .split("\n")213        )214        if len(f) > 0 and f.replace('"', "").startswith("rp")215    ]216def datetime_from_utc_to_local(utc_datetime):217    now_timestamp = time()218    offset = datetime.fromtimestamp(now_timestamp) - datetime.utcfromtimestamp(219        now_timestamp220    )221    return utc_datetime + offset222def get_currently_running_docker_procs(debug: bool) -> List[RunningProcess]:223    running_processes = []224    for container_name in get_running_container_names():225        if debug:226            print(227                f"[debug|get_currently_running_docker_procs] try to check container {container_name}"228            )229            _start = time()230        try:231            dev = subprocess.run(232                [233                    "docker",234                    "inspect",235                    "--format='{{json .HostConfig}}'",236                    container_name,237                ],238                stdout=subprocess.PIPE,239            ).stdout.decode("utf-8")[1:-2]240            image_name = subprocess.run(241                [242                    "docker",243                    "inspect",244                    "--format='{{json .Config.Image}}'",245                    container_name,246                ],247                stdout=subprocess.PIPE,248            ).stdout.decode("utf-8")[2:-3]249            start_time = subprocess.run(250                [251                    "docker",252                    "inspect",253                    "--format='{{json .State.StartedAt}}'",254                    container_name,255                ],256                stdout=subprocess.PIPE,257            ).stdout.decode("utf-8")[1:-2]258            start_time = start_time.replace('"', "").replace("T", " ")259            end_pt = start_time.find(260                "."261            )  # the nanosec confuse the converter and they don't matter anyways262            start_time = start_time[:end_pt]263            start_time = datetime.strptime(start_time, "%Y-%m-%d %H:%M:%S")264            start_time = datetime_from_utc_to_local(start_time).timestamp()265            container = json.loads(dev)266            cpu = container["NanoCpus"] / 1000000000267            shm_size = container["ShmSize"] / (1024 ** 3)268            mem = container["Memory"] / (1024 ** 3)269            if container["DeviceRequests"] is None:270                gpu_device_ids = None271            else:272                gpu_device_ids = container["DeviceRequests"][0]["DeviceIDs"]273            device_ids = []274            if gpu_device_ids is not None:275                for did in gpu_device_ids:276                    device_ids.append(int(did))277            running_processes.append(278                RunningProcess(279                    cpu=cpu,280                    mem=mem,281                    shm_size=shm_size,282                    gpu_devices=device_ids,283                    docker_name=container_name,284                    image_name=image_name,285                    start_time=start_time,286                )287            )288            if debug:289                print(290                    f"[debug|get_currently_running_docker_procs] add running proc {container_name}"291                )292                print(f"\tcpu:{cpu} mem:{mem}, gpus:{device_ids}")293                print("\telapsed", time() - _start)294        except:295            print(296                f"[debug|get_currently_running_docker_procs] failed to load {container_name}"297            )298    return list(sorted(running_processes, key=lambda p: p.start_time))299def get_gpus():300    GPU_WHITELIST = [301        "GeForce RTX 2080 Ti",302        "GeForce RTX 3090",303        "GeForce GTX 1080 Ti",304        "TITAN RTX",305    ]306    gpu_uid_to_device_id = {}307    gpus = {}  # device_id -> {}308    for device_id, query in enumerate(309        [310            f311            for f in subprocess.run(312                ["nvidia-smi", "--query-gpu=gpu_name,gpu_uuid", "--format=csv"],313                stdout=subprocess.PIPE,314            )315            .stdout.decode("utf-8")316            .split("\n")317            if len(f) > 0 and not f.startswith("name")318        ]319    ):320        query = query.split(", ")321        name = query[0]322        uuid = query[1]323        gpu_uid_to_device_id[uuid] = device_id324        gpus[device_id] = {"name": name, "in_use": False, "by": None, "uuid": uuid}325    for container_name in get_running_container_names():326        dev = subprocess.run(327            [328                "docker",329                "inspect",330                "--format='{{json .HostConfig.DeviceRequests}}'",331                container_name,332            ],333            stdout=subprocess.PIPE,334        ).stdout.decode("utf-8")335        if dev == "null" or dev == "'null'" or dev is None:336            pass  # no GPU for this container!337        else:338            try:339                dev = str(dev)[1:-2]...

memory_checker

Source:memory_checker

...74    else:75        syslog.syslog(syslog.LOG_ERR, "[memory_checker] Failed to retrieve memory value from '{}'"76                      .format(mem_usage))77        sys.exit(4)78def get_running_container_names():79    """Retrieves names of running containers by talking to the docker daemon.80    Args:81        None.82    Returns:83        running_container_names: A list indicates names of running containers.84    """85    try:86        docker_client = docker.DockerClient(base_url='unix://var/run/docker.sock')87        running_container_list = docker_client.containers.list(filters={"status": "running"})88        running_container_names = [ container.name for container in running_container_list ]89    except (docker.errors.APIError, docker.errors.DockerException) as err:90        syslog.syslog(syslog.LOG_ERR,91                      "Failed to retrieve the running container list from docker daemon! Error message is: '{}'"92                      .format(err))93        sys.exit(5)94    return running_container_names95def main():96    parser = argparse.ArgumentParser(description="Check memory usage of a container \97            and an alerting message will be written into syslog if memory usage \98            is larger than the threshold value", usage="/usr/bin/memory_checker <container_name> <threshold_value_in_bytes>")99    parser.add_argument("container_name", help="container name")100    # TODO: Currently the threshold value is hard coded as a command line argument and will101    # remove this in the new version since we want to read this value from 'CONFIG_DB'.102    parser.add_argument("threshold_value", type=int, help="threshold value in bytes")103    args = parser.parse_args()104    running_container_names = get_running_container_names()105    if args.container_name in running_container_names:106        check_memory_usage(args.container_name, args.threshold_value)107    else:108        syslog.syslog(syslog.LOG_INFO,109                      "[memory_checker] Exits without checking memory usage since container '{}' is not running!"110                      .format(args.container_name))111if __name__ == "__main__":...

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