Exemplo n.º 1
0
def _add_correlation_info_to_message(tenant, message):
    """
    Pack the message with correlation data. The message will be update by
    adding a dictionary named "meniscus" that contains tenant specific
    information used in processing the message.
    """
    #match the producer by the message pname
    producer = tenant_util.find_event_producer(tenant,
                                               producer_name=message['pname'])

    #if the producer is not found, create a default producer
    if not producer:
        producer = EventProducer(_id=None, name="default", pattern="default")

    #create correlation dictionary
    correlation_dict = {
        'tenant_name': tenant.tenant_name,
        'ep_id': producer.get_id(),
        'pattern': producer.pattern,
        'durable': producer.durable,
        'encrypted': producer.encrypted,
        '@timestamp': timeutils.utcnow(),
        'sinks': producer.sinks,
        "destinations": dict()
    }

    #configure sink dispatch
    for sink in producer.sinks:
        correlation_dict["destinations"][sink] = {
            'transaction_id': None,
            'transaction_time': None
        }

    # After successful correlation remove meniscus information from structured
    # data so that the client's token is scrubbed form the message.
    message['native'].pop('meniscus', None)
    message.update({
        'meniscus': {
            'tenant': tenant.tenant_id,
            'correlation': correlation_dict
        }
    })

    # If the message data indicates that the message has normalization rules
    # that apply, Queue the message for normalization processing
    if normalizer.should_normalize(message):
        # send the message to normalization then route to sink
        normalizer.normalize_message.delay(message)
    else:
        # Queue the message for indexing/storage
        sinks.route_message(message)
Exemplo n.º 2
0
def _add_correlation_info_to_message(tenant, message):
    """
    Pack the message with correlation data. The message will be update by
    adding a dictionary named "meniscus" that contains tenant specific
    information used in processing the message.
    """
    #match the producer by the message pname
    producer = tenant_util.find_event_producer(tenant,
                                               producer_name=message['pname'])

    #if the producer is not found, create a default producer
    if not producer:
        producer = EventProducer(_id=None, name="default", pattern="default")

    #create correlation dictionary
    correlation_dict = {
        'tenant_name': tenant.tenant_name,
        'ep_id': producer.get_id(),
        'pattern': producer.pattern,
        'durable': producer.durable,
        'encrypted': producer.encrypted,
        '@timestamp': timeutils.utcnow(),
        'sinks': producer.sinks,
        "destinations": dict()
    }

    #configure sink dispatch
    for sink in producer.sinks:
        correlation_dict["destinations"][sink] = {'transaction_id': None,
                                                  'transaction_time': None}

    # After successful correlation remove meniscus information from structured
    # data so that the client's token is scrubbed form the message.
    message['native'].pop('meniscus', None)
    message.update({'meniscus': {'tenant': tenant.tenant_id,
                                 'correlation': correlation_dict}})

    # If the message data indicates that the message has normalization rules
    # that apply, Queue the message for normalization processing
    if normalizer.should_normalize(message):
        #Todo: (stevendgonzales) Examine whether or not to remove
        #Todo: persist_message as a linked subtask(callback) of the
        #Todo: normalization task instead Queue the task based on routing
        #Todo: determined at the end of the normalization process.
        # send the message to normalization then to the data dispatch
        normalizer.normalize_message.apply_async(
            (message,),
            link=dispatch.persist_message.subtask())
    else:
        # Queue the message for indexing/storage
        dispatch.persist_message(message)
Exemplo n.º 3
0
 def __init__(self, **kwargs):
     if kwargs:
         self.cpu_cores = kwargs['cpu_cores']
         self.os_type = kwargs['os_type']
         self.memory_mb = kwargs['memory_mb']
         self.architecture = kwargs['architecture']
         self.load_average = kwargs['load_average']
         self.disk_usage = kwargs['disk_usage']
         self.timestamp = kwargs['timestamp']
     else:
         self.cpu_cores = sys_assist.get_cpu_core_count()
         self.os_type = platform.platform()
         self.memory_mb = sys_assist.get_sys_mem_total_MB()
         self.architecture = platform.machine()
         self.load_average = sys_assist.get_load_average()
         self.disk_usage = sys_assist.get_disk_usage()
         self.timestamp = timeutils.utcnow()
Exemplo n.º 4
0
 def __init__(self, **kwargs):
     if kwargs:
         self.cpu_cores = kwargs['cpu_cores']
         self.os_type = kwargs['os_type']
         self.memory_mb = kwargs['memory_mb']
         self.architecture = kwargs['architecture']
         self.load_average = kwargs['load_average']
         self.disk_usage = kwargs['disk_usage']
         self.timestamp = kwargs['timestamp']
     else:
         self.cpu_cores = sys_assist.get_cpu_core_count()
         self.os_type = platform.platform()
         self.memory_mb = sys_assist.get_sys_mem_total_MB()
         self.architecture = platform.machine()
         self.load_average = sys_assist.get_load_average()
         self.disk_usage = sys_assist.get_disk_usage()
         self.timestamp = timeutils.utcnow()
Exemplo n.º 5
0
def add_correlation_info_to_message(tenant, message):
    #match the producer by the message pname
    producer = find_event_producer(
        tenant, producer_name=message['pname'])

    #if the producer is not found, create a default producer
    if not producer:
        producer = EventProducer(_id=None, name="default", pattern="default")

    #create correlation dictionary
    correlation_dict = {
        'tenant_name': tenant.tenant_name,
        'ep_id': producer.get_id(),
        'pattern': producer.pattern,
        'durable': producer.durable,
        'encrypted': producer.encrypted,
        '@timestamp': timeutils.utcnow(),
        'sinks': producer.sinks,
        "destinations": dict()
    }

    #configure sink dispatch
    destinations = dict()
    for sink in producer.sinks:
        correlation_dict["destinations"][sink] = {
            'transaction_id': None,
            'transaction_time': None
        }

    #todo(sgonzales) persist message and create job
    if producer.durable:
        durable_job_id = str(uuid4())
        correlation_dict.update({'job_id': durable_job_id})

    message.update({
        "meniscus": {
            "tenant": tenant.tenant_id,
            "correlation": correlation_dict
        }
    })

    return message
Exemplo n.º 6
0
def add_correlation_info_to_message(tenant, message):
    #match the producer by the message pname
    producer = find_event_producer(tenant, producer_name=message['pname'])

    #if the producer is not found, create a default producer
    if not producer:
        producer = EventProducer(_id=None, name="default", pattern="default")

    #create correlation dictionary
    correlation_dict = {
        'tenant_name': tenant.tenant_name,
        'ep_id': producer.get_id(),
        'pattern': producer.pattern,
        'durable': producer.durable,
        'encrypted': producer.encrypted,
        '@timestamp': timeutils.utcnow(),
        'sinks': producer.sinks,
        "destinations": dict()
    }

    #configure sink dispatch
    destinations = dict()
    for sink in producer.sinks:
        correlation_dict["destinations"][sink] = {
            'transaction_id': None,
            'transaction_time': None
        }

    #todo(sgonzales) persist message and create job
    if producer.durable:
        durable_job_id = str(uuid4())
        correlation_dict.update({'job_id': durable_job_id})

    message.update({
        "meniscus": {
            "tenant": tenant.tenant_id,
            "correlation": correlation_dict
        }
    })

    return message
Exemplo n.º 7
0
 def __init__(self, **kwargs):
     """
     An object can be initialized by passing in a dictionary representation
     of the data as **kwargs.  Otherwise the constructor will retrieve
     system stats from the machine it is executing on.
     """
     if kwargs:
         self.cpu_cores = kwargs['cpu_cores']
         self.os_type = kwargs['os_type']
         self.memory_mb = kwargs['memory_mb']
         self.architecture = kwargs['architecture']
         self.load_average = kwargs['load_average']
         self.disk_usage = kwargs['disk_usage']
         self.timestamp = kwargs['timestamp']
     else:
         self.cpu_cores = sys_assist.get_cpu_core_count()
         self.os_type = platform.platform()
         self.memory_mb = sys_assist.get_sys_mem_total_MB()
         self.architecture = platform.machine()
         self.load_average = sys_assist.get_load_average()
         self.disk_usage = sys_assist.get_disk_usage()
         self.timestamp = str(timeutils.utcnow())
Exemplo n.º 8
0
 def __init__(self, **kwargs):
     """
     An object can be initialized by passing in a dictionary representation
     of the data as **kwargs.  Otherwise the constructor will retrieve
     system stats from the machine it is executing on.
     """
     if kwargs:
         self.cpu_cores = kwargs['cpu_cores']
         self.os_type = kwargs['os_type']
         self.memory_mb = kwargs['memory_mb']
         self.architecture = kwargs['architecture']
         self.load_average = kwargs['load_average']
         self.disk_usage = kwargs['disk_usage']
         self.timestamp = kwargs['timestamp']
     else:
         self.cpu_cores = sys_assist.get_cpu_core_count()
         self.os_type = platform.platform()
         self.memory_mb = sys_assist.get_sys_mem_total_MB()
         self.architecture = platform.machine()
         self.load_average = sys_assist.get_load_average()
         self.disk_usage = sys_assist.get_disk_usage()
         self.timestamp = timeutils.utcnow()