Python Dogstreams.init方法代码示例

# 需要导入模块: from checks.datadog import Dogstreams [as 别名]
# 或者: from checks.datadog.Dogstreams import init [as 别名]
    def test_dogstream_events(self):
        log_data = [
            '2012-05-14 12:46:01 [ERROR] - host0 is down (broke its collarbone)',
            '2012-05-14 12:48:07 [ERROR] - host1 is down (got a bloody nose)',
            '2012-05-14 12:52:03 [RECOVERY] - host0 is up (collarbone healed)',
            '2012-05-14 12:59:09 [RECOVERY] - host1 is up (nose stopped bleeding)',
        ]
        expected_output = {
            "dogstreamEvents": [
                {
                    "timestamp": 1336999561,
                    "alert_type": "error",
                    "host": "host0",
                    "msg_title": "host0 is down (broke its collarbone)",
                    "msg_text": "2012-05-14 12:46:01 [ERROR] - host0 is down (broke its collarbone)",
                    "event_type": EventDefaults.EVENT_TYPE,
                    "aggregation_key": EventDefaults.EVENT_OBJECT,
                    "event_object": EventDefaults.EVENT_OBJECT,
                },

                {
                    "timestamp": 1336999687,
                    "alert_type": "error",
                    "host": "host1",
                    "msg_title": "host1 is down (got a bloody nose)",
                    "msg_text": "2012-05-14 12:48:07 [ERROR] - host1 is down (got a bloody nose)",
                    "event_type": EventDefaults.EVENT_TYPE,
                    "aggregation_key": EventDefaults.EVENT_OBJECT,
                    "event_object": EventDefaults.EVENT_OBJECT,
                },

                {
                    "timestamp": 1336999923,
                    "alert_type": "success",
                    "host": "host0",
                    "msg_title": "host0 is up (collarbone healed)",
                    "msg_text": "2012-05-14 12:52:03 [RECOVERY] - host0 is up (collarbone healed)",
                    "event_type": EventDefaults.EVENT_TYPE,
                    "aggregation_key": EventDefaults.EVENT_OBJECT,
                    "event_object": EventDefaults.EVENT_OBJECT,
                },

                {
                    "timestamp": 1337000349,
                    "alert_type": "success",
                    "host": "host1",
                    "msg_title": "host1 is up (nose stopped bleeding)",
                    "msg_text": "2012-05-14 12:59:09 [RECOVERY] - host1 is up (nose stopped bleeding)",
                    "event_type": EventDefaults.EVENT_TYPE,
                    "aggregation_key": EventDefaults.EVENT_OBJECT,
                    "event_object": EventDefaults.EVENT_OBJECT,
                },

            ]
        }
        self._write_log(log_data)

        dogstream = Dogstreams.init(self.logger, {'dogstreams': '{0}:{1}:parse_events'.format(self.log_file.name, __name__)})
        actual_output = dogstream.check(self.config, move_end=False)
        self.assertEquals(expected_output, actual_output)

# 需要导入模块: from checks.datadog import Dogstreams [as 别名]
# 或者: from checks.datadog.Dogstreams import init [as 别名]
    def __init__(self, agentConfig, emitters, systemStats):
        self.emit_duration = None
        self.agentConfig = agentConfig
        # system stats is generated by config.get_system_stats
        self.agentConfig["system_stats"] = systemStats
        # agent config is used during checks, system_stats can be accessed through the config
        self.os = get_os()
        self.plugins = None
        self.emitters = emitters
        self.metadata_interval = int(agentConfig.get("metadata_interval", 10 * 60))
        self.metadata_start = time.time()
        socket.setdefaulttimeout(15)
        self.run_count = 0
        self.continue_running = True
        self.metadata_cache = None
        self.initialized_checks_d = []
        self.init_failed_checks_d = []

        # Unix System Checks
        self._unix_system_checks = {
            "disk": u.Disk(log),
            "io": u.IO(log),
            "load": u.Load(log),
            "memory": u.Memory(log),
            "processes": u.Processes(log),
            "cpu": u.Cpu(log),
        }

        # Win32 System `Checks
        self._win32_system_checks = {
            "disk": w32.Disk(log),
            "io": w32.IO(log),
            "proc": w32.Processes(log),
            "memory": w32.Memory(log),
            "network": w32.Network(log),
            "cpu": w32.Cpu(log),
        }

        # Old-style metric checks
        self._ganglia = Ganglia(log)
        self._dogstream = Dogstreams.init(log, self.agentConfig)
        self._ddforwarder = DdForwarder(log, self.agentConfig)

        # Agent Metrics
        self._agent_metrics = CollectorMetrics(log)

        self._metrics_checks = []

        # Custom metric checks
        for module_spec in [s.strip() for s in self.agentConfig.get("custom_checks", "").split(",")]:
            if len(module_spec) == 0:
                continue
            try:
                self._metrics_checks.append(modules.load(module_spec, "Check")(log))
                log.info("Registered custom check %s" % module_spec)
                log.warning(
                    "Old format custom checks are deprecated. They should be moved to the checks.d interface as old custom checks will be removed in a next version"
                )
            except Exception, e:
                log.exception("Unable to load custom check module %s" % module_spec)

# 需要导入模块: from checks.datadog import Dogstreams [as 别名]
# 或者: from checks.datadog.Dogstreams import init [as 别名]
    def test_dogstream_events_validation(self):
        log_data = [
            {"msg_title": "title", "timestamp": 1336999561},
            {"msg_text": "body", "timestamp": 1336999561},
            {"none of the above": "should get filtered out", "timestamp": 1336999561},
        ]

        expected_output = {
            "dogstreamEvents": [
                {
                    "timestamp": 1336999561,
                    "msg_title": "title",
                    "event_type": EventDefaults.EVENT_TYPE,
                    "aggregation_key": EventDefaults.EVENT_OBJECT,
                    "event_object": EventDefaults.EVENT_OBJECT,
                },

                {
                    "timestamp": 1336999561,
                    "msg_text": "body",
                    "event_type": EventDefaults.EVENT_TYPE,
                    "aggregation_key": EventDefaults.EVENT_OBJECT,
                    "event_object": EventDefaults.EVENT_OBJECT,
                },

            ]
        }

        self._write_log([repr(d) for d in log_data])

        dogstream = Dogstreams.init(self.logger, {'dogstreams': '{0}:{1}:repr_event_parser'.format(self.log_file.name, __name__)})
        actual_output = dogstream.check(self.config, move_end=False)
        self.assertEquals(expected_output, actual_output)

# 需要导入模块: from checks.datadog import Dogstreams [as 别名]
# 或者: from checks.datadog.Dogstreams import init [as 别名]
    def __init__(self, agentConfig, emitters, systemStats):
        self.emit_duration = None
        self.agentConfig = agentConfig
        # system stats is generated by config.get_system_stats
        self.agentConfig['system_stats'] = systemStats
        # agent config is used during checks, system_stats can be accessed through the config
        self.os = get_os()
        self.plugins = None
        self.emitters = emitters            
        self.metadata_interval = int(agentConfig.get('metadata_interval', 10 * 60))
        self.metadata_start = time.time()
        socket.setdefaulttimeout(15)
        self.run_count = 0
        self.continue_running = True
        self.metadata_cache = None
        self.checks_d = []
        
        # Unix System Checks
        self._unix_system_checks = {
            'disk': u.Disk(log),
            'io': u.IO(log),
            'load': u.Load(log),
            'memory': u.Memory(log),
            'processes': u.Processes(log),
            'cpu': u.Cpu(log)
        }

        # Win32 System `Checks
        self._win32_system_checks = {
            'disk': w32.Disk(log),
            'io': w32.IO(log),
            'proc': w32.Processes(log),
            'memory': w32.Memory(log),
            'network': w32.Network(log),
            'cpu': w32.Cpu(log)
        }

        # Old-style metric checks
        self._ganglia = Ganglia(log)
        self._cassandra = Cassandra()
        self._dogstream = Dogstreams.init(log, self.agentConfig)
        self._ddforwarder = DdForwarder(log, self.agentConfig)

        # Agent Metrics
        self._agent_metrics = CollectorMetrics(log)

        # Metric Checks
        self._metrics_checks = [
            Memcache(log),
        ]

        # Custom metric checks
        for module_spec in [s.strip() for s in self.agentConfig.get('custom_checks', '').split(',')]:
            if len(module_spec) == 0: continue
            try:
                self._metrics_checks.append(modules.load(module_spec, 'Check')(log))
                log.info("Registered custom check %s" % module_spec)
            except Exception, e:
                log.exception('Unable to load custom check module %s' % module_spec)

# 需要导入模块: from checks.datadog import Dogstreams [as 别名]
# 或者: from checks.datadog.Dogstreams import init [as 别名]
    def setUp(self):
        TailTestCase.setUp(self)

        self.config = {
            'dogstreams': self.log_file.name,
            'check_freq': 5,
        }
        log.info("Test config: %s" % self.config)
        self.dogstream = Dogstreams.init(self.logger, self.config)
        self.maxDiff = None

# 需要导入模块: from checks.datadog import Dogstreams [as 别名]
# 或者: from checks.datadog.Dogstreams import init [as 别名]
    def test_host_perfdata(self):
        from checks.datadog import NagiosHostPerfData

        self._write_nagios_config([
            "host_perfdata_file=%s" % self.log_file.name,
            "host_perfdata_file_template=DATATYPE::HOSTPERFDATA\tTIMET::$TIMET$\tHOSTNAME::$HOSTNAME$\tHOSTPERFDATA::$HOSTPERFDATA$\tHOSTCHECKCOMMAND::$HOSTCHECKCOMMAND$\tHOSTSTATE::$HOSTSTATE$\tHOSTSTATETYPE::$HOSTSTATETYPE$",
        ])

        dogstream = Dogstreams.init(self.logger, self.agent_config)
        self.assertEquals([NagiosHostPerfData], [d.__class__ for d in dogstream.dogstreams])

        log_data = [
            ("DATATYPE::HOSTPERFDATA", 
             "TIMET::1000000010", 
             "HOSTNAME::myhost1", 
             "HOSTPERFDATA::" + " ".join([
                "rta=0.978000ms;5000.000000;5000.000000;0.000000", 
                "pl=0%;100;100;0", 
             ]),
             "HOSTCHECKCOMMAND::check-host-alive",
             "HOSTSTATE::UP",   
             "HOSTSTATETYPE::HARD",
            ),
        ]
        
        expected_output = [
            ('nagios.host.rta', 1000000010, 0.978, {
                'metric_type': 'gauge',
                'host_name': 'myhost1',
                'unit': 'ms',
                'warn': '5000.000000',
                'crit': '5000.000000',
                'min': '0.000000'
            }),
            ('nagios.host.pl',  1000000010, 0., {
                'metric_type': 'gauge',
                'host_name': 'myhost1',
                'unit': '%',
                'warn': '100',
                'crit': '100',
                'min': '0'
            }),
        ]
        expected_output.sort(key=point_sorter)

        self._write_log(('\t'.join(data) for data in log_data))        

        actual_output = dogstream.check(self.agent_config, move_end=False)['dogstream']
        actual_output.sort(key=point_sorter)

        self.assertEquals(expected_output, actual_output)

# 需要导入模块: from checks.datadog import Dogstreams [as 别名]
# 或者: from checks.datadog.Dogstreams import init [as 别名]
    def __init__(self, agentConfig, emitters):
        self.agentConfig = agentConfig
        self.plugins = None
        self.emitters = emitters
        self.os = None

        self.checksLogger = logging.getLogger("checks")
        socket.setdefaulttimeout(15)

        self._apache = Apache(self.checksLogger)
        self._nginx = Nginx(self.checksLogger)
        self._disk = Disk(self.checksLogger)
        self._io = IO()
        self._load = Load(self.checksLogger)
        self._memory = Memory(self.checksLogger)
        self._network = Network(self.checksLogger)
        self._processes = Processes()
        self._cpu = Cpu()
        self._couchdb = CouchDb(self.checksLogger)
        self._mongodb = MongoDb(self.checksLogger)
        self._mysql = MySql(self.checksLogger)
        self._pgsql = PostgreSql(self.checksLogger)
        self._rabbitmq = RabbitMq()
        self._ganglia = Ganglia(self.checksLogger)
        self._cassandra = Cassandra()
        self._redis = Redis(self.checksLogger)
        self._jvm = Jvm(self.checksLogger)
        self._tomcat = Tomcat(self.checksLogger)
        self._activemq = ActiveMQ(self.checksLogger)
        self._solr = Solr(self.checksLogger)
        self._memcache = Memcache(self.checksLogger)
        self._dogstream = Dogstreams.init(self.checksLogger, self.agentConfig)
        self._ddforwarder = DdForwarder(self.checksLogger, self.agentConfig)

        # All new checks should be metrics checks:
        self._metrics_checks = [
            Cacti(self.checksLogger),
            Redis(self.checksLogger),
            Varnish(self.checksLogger),
            ElasticSearch(self.checksLogger),
        ]

        for module_spec in [s.strip() for s in self.agentConfig.get("custom_checks", "").split(",")]:
            if len(module_spec) == 0:
                continue
            try:
                self._metrics_checks.append(modules.load(module_spec, "Check")(self.checksLogger))
                self.checksLogger.info("Registered custom check %s" % module_spec)
            except Exception, e:
                self.checksLogger.exception("Unable to load custom check module %s" % module_spec)

# 需要导入模块: from checks.datadog import Dogstreams [as 别名]
# 或者: from checks.datadog.Dogstreams import init [as 别名]
    def test_alt_service_perfdata(self):
        from checks.datadog import NagiosServicePerfData

        self._write_nagios_config([
            "service_perfdata_file=%s" % NAGIOS_TEST_SVC,
            "service_perfdata_file_template=%s" % NAGIOS_TEST_SVC_TEMPLATE,
        ])

        dogstream = Dogstreams.init(self.logger, self.agent_config)
        self.assertEquals([NagiosServicePerfData], [d.__class__ for d in dogstream.dogstreams])
        actual_output = dogstream.check(self.agent_config, move_end=False)

        expected_output = {'dogstream': [('nagios.current_users.users', 1339511440, 1.0, {'metric_type': 'gauge', 'warn': '20', 'host_name': 'localhost', 'crit': '50', 'min': '0'}), ('nagios.ping.pl', 1339511500, 0.0, {'warn': '20', 'metric_type': 'gauge', 'host_name': 'localhost', 'min': '0', 'crit': '60', 'unit': '%'}), ('nagios.ping.rta', 1339511500, 0.065, {'warn': '100.000000', 'metric_type': 'gauge', 'host_name': 'localhost', 'min': '0.000000', 'crit': '500.000000', 'unit': 'ms'}), ('nagios.root_partition', 1339511560, 2470.0, {'min': '0', 'max': '7315', 'device_name': '/', 'warn': '5852', 'metric_type': 'gauge', 'host_name': 'localhost', 'crit': '6583', 'unit': 'MB'})]}
        self.assertEquals(expected_output, actual_output)

# 需要导入模块: from checks.datadog import Dogstreams [as 别名]
# 或者: from checks.datadog.Dogstreams import init [as 别名]
    def test_alt_host_perfdata(self):
        from checks.datadog import NagiosHostPerfData

        self._write_nagios_config([
            "host_perfdata_file=%s" % NAGIOS_TEST_HOST,
            "host_perfdata_file_template=%s" % NAGIOS_TEST_HOST_TEMPLATE,
        ])

        dogstream = Dogstreams.init(self.logger, self.agent_config)
        self.assertEquals([NagiosHostPerfData], [d.__class__ for d in dogstream.dogstreams])
        actual_output = dogstream.check(self.agent_config, move_end=False)

        expected_output = {'dogstream': [('nagios.host.pl', 1339511440, 0.0, {'warn': '80', 'metric_type': 'gauge', 'host_name': 'localhost', 'min': '0', 'crit': '100', 'unit': '%'}), ('nagios.host.rta', 1339511440, 0.048, {'warn': '3000.000000', 'metric_type': 'gauge', 'host_name': 'localhost', 'min': '0.000000', 'crit': '5000.000000', 'unit': 'ms'})]}
        self.assertEquals(expected_output, actual_output)

# 需要导入模块: from checks.datadog import Dogstreams [as 别名]
# 或者: from checks.datadog.Dogstreams import init [as 别名]
 def test_dogstream_ancient_function_plugin(self):
     """Ensure that pre-stateful plugins still work"""
     log_data = [
         'test.metric.simple 1000000000 1 metric_type=gauge',
         'test.metric.simple 1100000000 1 metric_type=gauge'
     ]
     expected_output = {
         "dogstream": [
             ('test.metric.simple', 1000000000, 1, self.gauge),
             ('test.metric.simple', 1100000000, 1, self.gauge)]
     }
     self._write_log(log_data)
     plugdog = Dogstreams.init(self.logger, {'dogstreams': '{0}:{1}:parse_ancient_function_plugin'.format(self.log_file.name, __name__)})
     actual_output = plugdog.check(self.config, move_end=False)

# 需要导入模块: from checks.datadog import Dogstreams [as 别名]
# 或者: from checks.datadog.Dogstreams import init [as 别名]
    def test_dogstream_stateful(self):
        log_data = [
            'test.metric.accumulator 1000000000 1 metric_type=counter',
            'test.metric.accumulator 1100000000 1 metric_type=counter'
        ]
        expected_output = {
            "dogstream": [
                ('test.metric.accumulator', 1000000000, 1, self.counter),
                ('test.metric.accumulator', 1100000000, 2, self.counter)]
        }
        self._write_log(log_data)

        statedog = Dogstreams.init(self.logger, {'dogstreams': '%s:tests.test_datadog:parse_stateful' % self.log_file.name})
        actual_output = statedog.check(self.config, move_end=False)
        self.assertEquals(expected_output, actual_output)

# 需要导入模块: from checks.datadog import Dogstreams [as 别名]
# 或者: from checks.datadog.Dogstreams import init [as 别名]
    def test_dogstream_new_plugin(self):
        """Ensure that class-based stateful plugins work"""
        log_data = [
            'test.metric.accumulator 1000000000 1 metric_type=counter',
            'test.metric.accumulator 1100000000 1 metric_type=counter'
        ]
        expected_output = {
            "dogstream": [
                ('foo.bar:test.metric.accumulator', 1000000000, 1, self.counter),
                ('foo.bar:test.metric.accumulator', 1100000000, 2, self.counter)]
        }
        self._write_log(log_data)

        statedog = Dogstreams.init(self.logger, {'dogstreams': '{0}:{1}:ParseClassPlugin:foo:bar'.format(self.log_file.name, __name__)})
        actual_output = statedog.check(self.config, move_end=False)
        self.assertEquals(expected_output, actual_output)

# 需要导入模块: from checks.datadog import Dogstreams [as 别名]
# 或者: from checks.datadog.Dogstreams import init [as 别名]
    def test_dogstream_function_plugin(self):
        """Ensure that non-class-based stateful plugins work"""
        log_data = [
            'test.metric.accumulator 1000000000 1 metric_type=counter',
            'test.metric.accumulator 1100000000 1 metric_type=counter'
        ]
        expected_output = {
            "dogstream": [
                ('test.metric.accumulator', 1000000000, 1, self.counter),
                ('test.metric.accumulator', 1100000000, 2, self.counter)]
        }
        self._write_log(log_data)

        statedog = Dogstreams.init(self.logger, {'dogstreams': '%s:tests.test_datadog:parse_function_plugin' % self.log_file.name})
        actual_output = statedog.check(self.config, move_end=False)
        self.assertEquals(expected_output, actual_output)

# 需要导入模块: from checks.datadog import Dogstreams [as 别名]
# 或者: from checks.datadog.Dogstreams import init [as 别名]
    def __init__(self, agentConfig, emitters):
        self.agentConfig = agentConfig
        self.plugins = None
        self.emitters = emitters
        self.os = None
        
        self.checksLogger = logging.getLogger('checks')
        socket.setdefaulttimeout(15)
        
        self._apache = Apache(self.checksLogger)
        self._nginx = Nginx(self.checksLogger)
        self._disk = Disk(self.checksLogger)
        self._io = IO()
        self._load = Load(self.checksLogger)
        self._memory = Memory(self.checksLogger)
        self._network = Network(self.checksLogger)
        self._processes = Processes()
        self._cpu = Cpu()
        self._couchdb = CouchDb(self.checksLogger)
        self._mongodb = MongoDb(self.checksLogger)
        self._mysql = MySql(self.checksLogger)
        self._pgsql = PostgreSql(self.checksLogger)
        self._rabbitmq = RabbitMq()
        self._ganglia = Ganglia(self.checksLogger)
        self._cassandra = Cassandra()
        self._redis = Redis(self.checksLogger)
        self._jvm = Jvm(self.checksLogger)
        self._tomcat = Tomcat(self.checksLogger)
        self._activemq = ActiveMQ(self.checksLogger)
        self._solr = Solr(self.checksLogger)
        self._memcache = Memcache(self.checksLogger)
        self._dogstream = Dogstreams.init(self.checksLogger, self.agentConfig)
        self._ddforwarder = DdForwarder(self.checksLogger, self.agentConfig)

        # All new checks should be metrics checks:
        self._metrics_checks = [
            Cacti(self.checksLogger),
            Redis(self.checksLogger),
            Varnish(self.checksLogger),
            ElasticSearch(self.checksLogger),
            ]
        self._event_checks = [Hudson(), Nagios(socket.gethostname())]
        self._resources_checks = [ResProcesses(self.checksLogger,self.agentConfig)]

        self._ec2 = EC2(self.checksLogger)

# 需要导入模块: from checks.datadog import Dogstreams [as 别名]
# 或者: from checks.datadog.Dogstreams import init [as 别名]
    def test_supervisord_parser(self):
        from dogstream import supervisord_log
        log_data = """2012-07-16 22:30:48,335 INFO spawned: 'monitor' with pid 20216
2012-07-14 03:02:47,325 INFO success: foo_bar entered RUNNING state, process has stayed up for > than 2 seconds (startsecs)
2012-07-17 02:53:04,600 CRIT Server 'inet_http_server' running without any HTTP authentication checking
2012-07-14 04:54:34,193 WARN received SIGTERM indicating exit request
"""
        event_type = supervisord_log.EVENT_TYPE

        expected_output = {
            "dogstreamEvents": [
                {
                    "alert_type": "info", "event_type": event_type,
                    "aggregation_key": "monitor",
                    "event_object": "monitor",
                    "msg_title": "spawned: 'monitor' with pid 20216",
                    "timestamp": int(time.mktime(datetime(2012, 7, 16, 22, 30, 48).timetuple())),
                }, {
                    "alert_type": "success", "event_type": event_type,
                    "aggregation_key": "foo_bar",
                    "event_object": "foo_bar",
                    "msg_title": "success: foo_bar entered RUNNING state, "
                    "process has stayed up for > than 2 seconds (startsecs)",
                    "timestamp": int(time.mktime(datetime(2012, 7, 14, 3, 2, 47).timetuple())),
                }, {
                    "alert_type": "error", "event_type": event_type,
                    "aggregation_key": "inet_http_server",
                    "event_object": "inet_http_server",
                    "msg_title": "Server 'inet_http_server' running without any HTTP authentication checking",
                    "timestamp": int(time.mktime(datetime(2012, 7, 17, 2, 53, 4).timetuple())),
                }, {
                    "alert_type": "warning", "event_type": event_type,
                    "aggregation_key": "SIGTERM",
                    "event_object": "SIGTERM",
                    "msg_title": "received SIGTERM indicating exit request",
                    "timestamp": int(time.mktime(datetime(2012, 7, 14, 4, 54, 34).timetuple())),
                },
            ]
        }
        self._write_log(log_data.split("\n"))

        dogstream = Dogstreams.init(self.logger, {'dogstreams': '%s:dogstream.supervisord_log:parse_supervisord' % self.log_file.name})
        actual_output = dogstream.check(self.config, move_end=False)
        self.assertEquals(expected_output, actual_output)