def check_logs(config_params, test_duration, print_output=False):
    """Check the logs in mongodb and print the status.

    :config_params: black_box.config.ConfigParams
    :test_duration: float
    :print_output: bool
    :returns: None

    """
    db_name = config_params.default.db_name
    collection_names = DBUtils.get_data_collection_names(db_name)

    # check if all topics are present in db
    fail = False
    size_status = []
    if config_params.ros:
        for topic_params in config_params.ros.topic:
            topic_name = ConfigUtils.get_full_variable_name(
                "ros", topic_params.name)
            if topic_name not in collection_names:
                fail = True
                print(colored(topic_name + " not present in mongoDB", "red"))
                size_status.append({
                    'collection':
                    topic_name,
                    'expected_size':
                    topic_params.max_frequency * test_duration,
                    'collection_size':
                    0
                })
                continue
            collection_size = len(DBUtils.get_all_docs(db_name, topic_name))
            size_status.append({
                'collection': topic_name,
                'expected_size': topic_params.max_frequency * test_duration,
                'collection_size': collection_size
            })
    if config_params.zyre:
        expected_size = test_duration * config_params.default.max_frequency
        for message_type in config_params.zyre.message_types:
            topic_name = ConfigUtils.get_full_variable_name(
                "zyre", message_type)
            if topic_name not in collection_names:
                fail = True
                print(colored(topic_name + " not present in mongoDB", "red"))
                size_status.append({
                    'collection': topic_name,
                    'expected_size': expected_size,
                    'collection_size': 0
                })
                continue
            collection_size = len(DBUtils.get_all_docs(db_name, topic_name))
            size_status.append({
                'collection': topic_name,
                'expected_size': expected_size,
                'collection_size': collection_size
            })
    if not fail and print_output:
        print(
            colored("All topics have their respective collection in mongoDB",
                    "green"))
    for comparison in size_status:
        color = "green" if comparison['expected_size'] == comparison[
            'collection_size'] else "red"
        string = comparison['collection'] + ': ' + str(comparison['collection_size']) \
                + '/' + str(comparison['expected_size'])
        if print_output:
            print(colored(string, color))
    return size_status
 def test_get_all_docs(self):
     docs = DBUtils.get_all_docs(db_name=self.test_db_name,
                                 collection_name='ros_ropod_cmd_vel')
     self.assertEqual(len(docs), 149)
        stdscr.refresh()

if __name__ == '__main__':
    # rospy.init_node('rosbag_play')
    config_param = get_config_param()

    run_events = False

    parser = argparse.ArgumentParser(description="Play rosbag from mongo db")
    parser.add_argument('-db', help='name of the mongo db', default=config_param['db_name'])
    parser.add_argument('-e', '--events', action='store_true', help='Enable events playback')
    args = parser.parse_args()
    db_name = args.db

    if args.events and 'ros_ropod_event' in DBUtils.get_data_collection_names(db_name) \
        and len(DBUtils.get_all_docs(db_name, 'ros_ropod_event')) > 0:
        events = DBUtils.get_all_docs(db_name, 'ros_ropod_event')
        chosen_event_index = choose_event(events, 1)
        while chosen_event_index != 0 :
            chosen_event = events[chosen_event_index-1]
            event_time = chosen_event['timestamp']
            play_rosbag(event_time-config_param['event_playback_duration'], 
                    event_time+config_param['event_playback_duration'])
            chosen_event_index = choose_event(events, chosen_event_index)

    else :
        start_time = DBUtils.get_db_oldest_timestamp(db_name)
        stop_time = DBUtils.get_db_newest_timestamp(db_name)
        start_time, stop_time = get_desired_duration(start_time, stop_time)
        play_rosbag(start_time, stop_time)
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    return duration_doc['data']


def get_label(event_start, event_end):
    if event_start and event_end:
        if event_start == 'success':
            return 1
        else:
            return 0
    return 0


if __name__ == '__main__':
    log_db_name = 'pull_logs'

    event_docs = DBUtils.get_all_docs(log_db_name, 'ros_event')
    event_timestamps = DataUtils.get_all_measurements(event_docs, 'timestamp')
    event_descriptions = DataUtils.get_all_measurements(
        event_docs, 'description')

    data_point_count = len(event_timestamps) // 2
    object_positions = np.zeros((data_point_count, 3))
    goal_positions = np.zeros((data_point_count, 3))
    distances_from_edge = np.zeros((data_point_count, 1))
    motion_durations = np.zeros((data_point_count, 1))

    labels = np.zeros(data_point_count, dtype=int)
    data_idx = 0
    for i in range(0, data_point_count * 2, 2):
        object_positions[data_idx], _ = get_object_pose(
            log_db_name, event_timestamps[i])
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            return 1
        else:
            return 0
    return 0

def state_update_fn(state_update, pose, b_box):
    p_copy = deepcopy(pose)
    p_copy.position.x += state_update[0]
    p_copy.position.y += state_update[1]
    p_copy.position.z += state_update[2]
    return {'pose': p_copy, 'b_box': b_box}

if __name__ == '__main__':
    log_db_name = 'drawer_handle_grasping_failures'

    event_docs = DBUtils.get_all_docs(log_db_name, 'ros_event')
    event_timestamps = DataUtils.get_all_measurements(event_docs, 'timestamp')
    event_descriptions = DataUtils.get_all_measurements(event_docs, 'description')

    ground_truth_diagnoses = DBUtils.get_all_docs(log_db_name, 'fault_diagnoses_ground_truth')

    data_point_count = len(event_timestamps) // 2
    handle_positions = np.zeros((data_point_count, 3))
    handle_bb_mins = np.zeros((data_point_count, 3))
    handle_bb_maxs = np.zeros((data_point_count, 3))
    goal_positions = np.zeros((data_point_count, 3))
    goal_orientations = np.zeros((data_point_count, 3))
    labels = np.zeros(data_point_count, dtype=int)
    data_idx = 0

    print('Extracting data...')