def __init__(self,
datastore=None,
redis=None,
redis_persist=None,
logger=None):
super().__init__('assemblyline.dispatcher.file', logger)
config: Config = forge.get_config()
datastore: AssemblylineDatastore = datastore or forge.get_datastore(
config)
self.dispatcher = Dispatcher(redis=redis,
redis_persist=redis_persist,
datastore=datastore,
logger=self.log)
if config.core.metrics.apm_server.server_url is not None:
self.log.info(
f"Exporting application metrics to: {config.core.metrics.apm_server.server_url}"
)
elasticapm.instrument()
self.apm_client = elasticapm.Client(
server_url=config.core.metrics.apm_server.server_url,
service_name="dispatcher")
else:
self.apm_client = None
def __init__(self,
logger=None,
datastore=None,
redis=None,
persistent_redis=None):
super().__init__('assemblyline.ingester.internals', logger=logger)
config = forge.get_config()
# Connect to all sorts of things
datastore = datastore or forge.get_datastore(config)
classification_engine = forge.get_classification()
# Initialize the ingester specific resources
self.ingester = Ingester(datastore=datastore,
classification=classification_engine,
logger=self.log,
redis=redis,
persistent_redis=persistent_redis)
if config.core.metrics.apm_server.server_url is not None:
self.log.info(
f"Exporting application metrics to: {config.core.metrics.apm_server.server_url}"
)
elasticapm.instrument()
self.apm_client = elasticapm.Client(
server_url=config.core.metrics.apm_server.server_url,
service_name="ingester")
else:
self.apm_client = None
def test_elasticapm_structlog_log_correlation_ecs_fields(spec_validator):
apm = elasticapm.Client({"SERVICE_NAME": "apm-service", "DISABLE_SEND": True})
stream = StringIO()
logger = structlog.PrintLogger(stream)
logger = structlog.wrap_logger(
logger, processors=[structlog_processor, ecs_logging.StructlogFormatter()]
)
log = logger.new()
apm.begin_transaction("test-transaction")
try:
with elasticapm.capture_span("test-span"):
span_id = elasticapm.get_span_id()
trace_id = elasticapm.get_trace_id()
transaction_id = elasticapm.get_transaction_id()
log.info("test message")
finally:
apm.end_transaction("test-transaction")
ecs = json.loads(spec_validator(stream.getvalue().rstrip()))
ecs.pop("@timestamp")
assert ecs == {
"ecs": {"version": "1.6.0"},
"log.level": "info",
"message": "test message",
"span": {"id": span_id},
"trace": {"id": trace_id},
"transaction": {"id": transaction_id},
"service": {"name": "apm-service"},
}
def __init__(self, config=None):
super().__init__('assemblyline.metrics_aggregator',
shutdown_timeout=65)
self.config = config or forge.get_config()
self.elastic_hosts = self.config.core.metrics.elasticsearch.hosts
self.is_datastream = False
if not self.elastic_hosts:
self.log.error(
"No elasticsearch cluster defined to store metrics. All gathered stats will be ignored..."
)
sys.exit(1)
self.scheduler = BackgroundScheduler(daemon=True)
self.metrics_queue = None
self.es = None
self.counters_lock = Lock()
self.counters = {}
if self.config.core.metrics.apm_server.server_url is not None:
self.log.info(
f"Exporting application metrics to: {self.config.core.metrics.apm_server.server_url}"
)
elasticapm.instrument()
self.apm_client = elasticapm.Client(
server_url=self.config.core.metrics.apm_server.server_url,
service_name="metrics_aggregator")
else:
self.apm_client = None
def init_apm_client():
global apm_server_url, apm_token, apm_api_key, apm_service_name, apm_custom_context, apm_parent_id
LOGGER.debug("init_apm_client")
if apm_server_url:
if not (apm_token or apm_api_key) or not apm_service_name:
pytest.fail("""
APM server URL, APM service name, and an TOKEN or API Key are required to connect to the APM service.
--apm-server-url https://apm.example.com:8200 --apm-token a51bfe6c --apm-service-name my_service
or
--apm-server-url https://apm.example.com:8200 --apm-api-key 3398579f385ea51bfe6cb2183546931d --apm-service-name my_service
""") # noqa E501
raise
apm_client_local = None
if apm_token:
apm_client_local = elasticapm.Client(
service_name=apm_service_name,
server_url=apm_server_url,
verify_server_cert=False,
secret_token=apm_token,
use_elastic_traceparent_header=True,
debug=True)
elif apm_api_key:
apm_client_local = elasticapm.lient(
service_name=apm_service_name,
server_url=apm_server_url,
verify_server_cert=False,
api_key=apm_api_key,
use_elastic_traceparent_header=True,
debug=True)
return apm_client_local
def __init__(self, redis=None, redis_persist=None):
super().__init__('assemblyline.watcher',
redis=redis,
redis_persist=redis_persist)
# Watcher structures
self.hash = ExpiringHash(name=WATCHER_HASH,
ttl=MAX_TIMEOUT,
host=self.redis_persist)
self.queue = UniquePriorityQueue(WATCHER_QUEUE, self.redis_persist)
# Task management structures
self.running_tasks = ExpiringHash(
DISPATCH_RUNNING_TASK_HASH,
host=self.redis) # TODO, move to persistant?
self.scaler_timeout_queue = NamedQueue(SCALER_TIMEOUT_QUEUE,
host=self.redis_persist)
# Metrics tracking
self.counter = MetricsFactory(metrics_type='watcher',
schema=Metrics,
name='watcher',
redis=self.redis,
config=self.config)
if self.config.core.metrics.apm_server.server_url is not None:
self.log.info(
f"Exporting application metrics to: {self.config.core.metrics.apm_server.server_url}"
)
elasticapm.instrument()
self.apm_client = elasticapm.Client(
server_url=self.config.core.metrics.apm_server.server_url,
service_name="watcher")
else:
self.apm_client = None
def __init__(self,
service_name='falcon_apm',
server_url='http://localhost:8200'):
self.hostname = socket.gethostname()
self.client = elasticapm.Client(service_name=service_name,
server_url=server_url)
def run():
metadata = {}
if "COMMIT_TIMESTAMP" in os.environ:
metadata["timestamp"] = os.environ.get("COMMIT_TIMESTAMP")
metadata["revision"] = os.environ.get("COMMIT_SHA")
metadata["commit_message"] = os.environ.get("COMMIT_MESSAGE").split(
"\n")[0]
runner = pyperf.Runner(metadata=metadata)
pattern = os.environ.get("BENCH_PATTERN")
args = runner.parse_args()
if args.tracemalloc:
bench_type = "tracemalloc"
elif args.track_memory:
bench_type = "trackmem"
else:
bench_type = "time"
for func in discover_benchmarks():
name = "%s.%s.%s" % (str(func.__module__), func.__name__, bench_type)
if not pattern or fnmatch.fnmatch(name, pattern):
client = None
if hasattr(func, "client_defaults"):
# create the client outside of the benchmarked function
client = elasticapm.Client(**func.client_defaults)
func = functools.partial(func, client=client)
if args.tracemalloc:
tracemalloc.clear_traces()
runner.bench_func(name, func)
if client:
client.close()
def __init__(self, config=None):
super().__init__('assemblyline.es_metrics', shutdown_timeout=15)
self.config = config or forge.get_config()
self.target_hosts = self.config.core.metrics.elasticsearch.hosts
self.index_interval = 10.0
self.old_node_data = {}
self.old_cluster_data = {}
self.old_index_data = {}
self.old_index_time = 0.0
self.old_node_time = 0.0
self.old_cluster_time = 0.0
if not self.target_hosts:
self.log.error(
"No elasticsearch cluster defined to store metrics. All gathered stats will be ignored..."
)
sys.exit(1)
self.input_es = None
self.target_es = None
self.is_datastream = False
if self.config.core.metrics.apm_server.server_url is not None:
self.log.info(
f"Exporting application metrics to: {self.config.core.metrics.apm_server.server_url}"
)
elasticapm.instrument()
self.apm_client = elasticapm.Client(
server_url=self.config.core.metrics.apm_server.server_url,
service_name="es_metrics")
else:
self.apm_client = None
def __init__(self, handler, registry):
self.handler = handler
self.registry = registry
settings = registry.settings
config = {
'SERVICE_NAME': settings['elasticapm.service_name'],
'SERVER_URL': settings['elasticapm.server_url'],
'SECRET_TOKEN': settings['elasticapm.secret_token'],
'ENVIRONMENT': settings['elasticapm.environment'],
}
if settings.get('elasticapm.transactions_ignore_patterns', ''):
config['TRANSACTIONS_IGNORE_PATTERNS'] = settings[
'elasticapm.transactions_ignore_patterns'].split()
pkg_versions = dict()
for pkg_name in (
'pyramid',
'pyramid_elasticapm',
settings['elasticapm.service_distribution'],
):
pkg_versions[pkg_name] = pkg_resources.get_distribution(
pkg_name).version
self.client = elasticapm.Client(
config,
service_version=(
pkg_versions[settings['elasticapm.service_distribution']]),
framework_name='Pyramid',
framework_version=pkg_versions['pyramid'],
global_labels={
'pyramid_elasticapm': pkg_versions['pyramid_elasticapm']
},
)
def __init__(self, config=None):
super().__init__('assemblyline.heartbeat_manager')
self.config = config or forge.get_config()
self.datastore = forge.get_datastore()
self.metrics_queue = CommsQueue(METRICS_QUEUE)
self.scheduler = BackgroundScheduler(daemon=True)
self.hm = HeartbeatFormatter("heartbeat_manager",
self.log,
config=self.config)
self.counters_lock = Lock()
self.counters = {}
self.rolling_window = {}
self.window_ttl = {}
self.ttl = self.config.core.metrics.export_interval * 2
self.window_size = int(60 / self.config.core.metrics.export_interval)
if self.window_size != 60 / self.config.core.metrics.export_interval:
self.log.warning(
"Cannot calculate a proper window size for reporting heartbeats. "
"Metrics reported during hearbeat will be wrong.")
if self.config.core.metrics.apm_server.server_url is not None:
self.log.info(
f"Exporting application metrics to: {self.config.core.metrics.apm_server.server_url}"
)
elasticapm.instrument()
self.apm_client = elasticapm.Client(
server_url=self.config.core.metrics.apm_server.server_url,
service_name="heartbeat_manager")
else:
self.apm_client = None
def __init__(self, handler, registry):
self.handler = handler
self.registry = registry
self.client = elasticapm.Client(
framework_name="Pyramid",
framework_version=pkg_resources.get_distribution(
"pyramid").version)
def test_elastic_apm_stdlib_with_filter_log_correlation_ecs_fields():
apm = elasticapm.Client({
"SERVICE_NAME": "apm-service",
"DISABLE_SEND": True
})
stream = StringIO()
logger = logging.getLogger("apm-logger")
handler = logging.StreamHandler(stream)
handler.setFormatter(
ecs_logging.StdlibFormatter(
exclude_fields=["@timestamp", "process", "log.origin.file.line"]))
handler.addFilter(LoggingFilter())
logger.addHandler(handler)
logger.setLevel(logging.DEBUG)
apm.begin_transaction("test-transaction")
try:
with elasticapm.capture_span("test-span"):
span_id = elasticapm.get_span_id()
trace_id = elasticapm.get_trace_id()
transaction_id = elasticapm.get_transaction_id()
logger.info("test message")
finally:
apm.end_transaction("test-transaction")
ecs = json.loads(stream.getvalue().rstrip())
assert ecs == {
"ecs": {
"version": "1.5.0"
},
"log": {
"level": "info",
"logger": "apm-logger",
"origin": {
"file": {
"name": "test_apm.py"
},
"function":
"test_elastic_apm_stdlib_with_filter_log_correlation_ecs_fields",
},
"original": "test message",
},
"message": "test message",
"span": {
"id": span_id
},
"trace": {
"id": trace_id
},
"transaction": {
"id": transaction_id
},
}
def __init__(self, pid=None, **kwargs):
super().__init__(**kwargs)
self.pid = pid
self.prefix_cache = {}
self.command_list = Command.__subclasses__()
self.log_channel = None
self.error_channel = None
if APM_SERVICE:
self.apm = elasticapm.Client({'SERVICE_NAME': APM_SERVICE})
def __init__(self, client_instance=None, config=None, scope_manager=None):
self._agent = client_instance or get_client() or elasticapm.Client(
config=config)
if scope_manager and not isinstance(scope_manager,
ThreadLocalScopeManager):
warnings.warn(
"Currently, the Elastic APM opentracing bridge only supports the ThreadLocalScopeManager. "
"Usage of other scope managers will lead to unpredictable results."
)
self._scope_manager = scope_manager or ThreadLocalScopeManager()
if self._agent.config.instrument and self._agent.config.enabled:
instrument()
def apm():
if sys.version_info < (3, 6):
pytest.skip("elasticapm only supports python 3.6+")
if sys.version_info[0] >= 3:
record_factory = logging.getLogRecordFactory()
apm = elasticapm.Client({
"SERVICE_NAME": "apm-service",
"DISABLE_SEND": True
})
yield apm
apm.close()
if sys.version_info[0] >= 3:
logging.setLogRecordFactory(record_factory)
def __init__(self, config=None):
super().__init__('assemblyline.statistics_aggregator')
self.config = config or forge.get_config()
self.cache = forge.get_statistics_cache(config=self.config)
self.datastore = forge.get_datastore(archive_access=True)
self.scheduler = BackgroundScheduler(daemon=True)
if self.config.core.metrics.apm_server.server_url is not None:
self.log.info(f"Exporting application metrics to: {self.config.core.metrics.apm_server.server_url}")
elasticapm.instrument()
self.apm_client = elasticapm.Client(server_url=self.config.core.metrics.apm_server.server_url,
service_name="metrics_aggregator")
else:
self.apm_client = None
def __init__(self, force_ilm=False):
self.config = forge.get_config()
if force_ilm:
self.config.datastore.ilm.enabled = True
super().__init__('assemblyline.expiry',
shutdown_timeout=self.config.core.expiry.sleep_time +
5)
self.datastore = forge.get_datastore(config=self.config,
archive_access=True)
self.hot_datastore = forge.get_datastore(config=self.config,
archive_access=False)
self.filestore = forge.get_filestore(config=self.config)
self.cachestore = FileStore(*self.config.filestore.cache)
self.expirable_collections = []
self.archiveable_collections = []
self.counter = MetricsFactory('expiry', Metrics)
self.counter_archive = MetricsFactory('archive', Metrics)
if self.config.datastore.ilm.enabled:
self.fs_hashmap = {
'file': self.archive_filestore_delete,
'cached_file': self.archive_cachestore_delete
}
else:
self.fs_hashmap = {
'file': self.filestore_delete,
'cached_file': self.cachestore_delete
}
for name, definition in self.datastore.ds.get_models().items():
if hasattr(definition, 'archive_ts'):
self.archiveable_collections.append(
getattr(self.datastore, name))
if hasattr(definition, 'expiry_ts'):
self.expirable_collections.append(getattr(
self.datastore, name))
if self.config.core.metrics.apm_server.server_url is not None:
self.log.info(
f"Exporting application metrics to: {self.config.core.metrics.apm_server.server_url}"
)
elasticapm.instrument()
self.apm_client = elasticapm.Client(
server_url=self.config.core.metrics.apm_server.server_url,
service_name="expiry")
else:
self.apm_client = None
def __init__(self, pid=None, **kwargs):
super().__init__(**kwargs)
self.pid = pid
self.prefix_cache = {}
self.command_list = Command.__subclasses__()
self.log_channel = None
self.error_channel = None
if APM_SERVICE:
self.apm = elasticapm.Client({'SERVICE_NAME': APM_SERVICE})
else:
self.apm = None
print("Process {} created for shards {}".format(self.pid, self.shard_ids))
def apm_preflight(config, node_name, smoothing_strategy):
# We're being a bit naughty here. Shhhh.
elasticapm.utils.cgroup.get_cgroup_container_metadata = lambda: {'container': {'id': node_name}}
processors = []
if smoothing_strategy == 'floor':
processors.append('synthbean.processors.span_smoother')
client = elasticapm.Client(
hostname=node_name,
service_node_name=node_name,
service_name=config['service_name'],
server_url=config['server_url'],
processors=processors)
elasticapm.instrument()
return client
def __init__(self):
super().__init__('assemblyline.workflow')
self.config = forge.get_config()
self.datastore = forge.get_datastore(self.config)
self.start_ts = f"{self.datastore.ds.now}/{self.datastore.ds.day}-1{self.datastore.ds.day}"
if self.config.core.metrics.apm_server.server_url is not None:
self.log.info(
f"Exporting application metrics to: {self.config.core.metrics.apm_server.server_url}"
)
elasticapm.instrument()
self.apm_client = elasticapm.Client(
server_url=self.config.core.metrics.apm_server.server_url,
service_name="workflow")
else:
self.apm_client = None
def test_python_version_deprecation(mock_python_version_tuple, version, raises,
recwarn):
warnings.simplefilter("always")
mock_python_version_tuple.return_value = version
e = None
try:
e = elasticapm.Client()
finally:
if e:
e.close()
if raises:
assert len(recwarn) == 1
w = recwarn.pop(DeprecationWarning)
assert "agent only supports" in w.message.args[0]
else:
assert len(recwarn) == 0
def __init__(self, handler, registry):
self.handler = handler
self.registry = registry
config = registry.settings
service_version = config.get("elasticapm.service_version")
if service_version:
try:
service_version = pkg_resources.get_distribution(service_version).version
except pkg_resources.DistributionNotFound:
pass
self.client = elasticapm.Client(
server_url=config.get("elasticapm.server_url"),
server_timeout=config.get("elasticapm.server_timeout"),
name=config.get("elasticapm.name"),
framework_name="Pyramid",
framework_version=pkg_resources.get_distribution("pyramid").version,
service_name=config.get("elasticapm.service_name"),
service_version=service_version,
secret_token=config.get("elasticapm.secret_token"),
include_paths=list_from_setting(config, "elasticapm.include_paths"),
exclude_paths=list_from_setting(config, "elasticapm.exclude_paths"),
debug=asbool(config.get('elasticapm.debug'))
)
def __init__(self):
super().__init__('assemblyline.alerter')
# Publish counters to the metrics sink.
self.counter = MetricsFactory('alerter', Metrics)
self.datastore = forge.get_datastore(self.config)
self.persistent_redis = get_client(
host=self.config.core.redis.persistent.host,
port=self.config.core.redis.persistent.port,
private=False,
)
self.process_alert_message = forge.get_process_alert_message()
self.running = False
self.alert_queue = NamedQueue(ALERT_QUEUE_NAME, self.persistent_redis)
if self.config.core.metrics.apm_server.server_url is not None:
self.log.info(
f"Exporting application metrics to: {self.config.core.metrics.apm_server.server_url}"
)
elasticapm.instrument()
self.apm_client = elasticapm.Client(
server_url=self.config.core.metrics.apm_server.server_url,
service_name="alerter")
else:
self.apm_client = None
def pytest_configure(config):
# FIXME set url correctly
client = _apm_client(
e_.Client(service_name="testme", server_url="http://localhost:8200"))
import elasticapm
import json
elasticapm.instrument()
apm = elasticapm.Client()
def response(func, event, context, transaction_name=''):
"""
Calls `func(event, context)` and returns a properly formatted response,
also reporting the transaction results to APM using either the given
`transaction_name` or `func`'s name.
"""
if not transaction_name:
transaction_name = func.__name__
apm.begin_transaction('Request')
elasticapm.set_custom_context({
'event': event,
'function_name': context.function_name,
'aws_request_id': context.aws_request_id,
})
# https://docs.aws.amazon.com/pt_br/lambda/latest/dg/python-context-object.html
try:
body = func(event, context)
response = {'statusCode': 200, 'body': json.dumps(body)}
return response
except Exception as e:
error = {'code': type(e).__name__, 'message': str(e)}
body = {'errors': [error]}
## Implemented by API reference - https://www.elastic.co/guide/en/apm/agent/python/current/api.html
import elasticapm
import time
apm_client = elasticapm.Client(
service_name='labels',
server_url='http://localhost:8200',
)
def uranium_enrichment(tts=1, ):
time.sleep(tts)
def til_atom(
request_id,
user_id,
tts,
):
# Starting a transaction - passing the transaction type as an argument
apm_client.begin_transaction(transaction_type='tasks')
# Adding a label
elasticapm.label(request_id=request_id)
try:
# Do something very important
uranium_enrichment(tts=tts)
except Exception:
result = 'failure'
import logging
import random
from aiohttp.client import ClientSession
from sanic import Sanic
from sanic import response
import elasticapm
from common import tracked_sleep
logging.basicConfig(level=logging.DEBUG)
app = Sanic(__name__)
apm_client = elasticapm.Client(service_name='sanic-greeter')
elasticapm.instrument()
@app.middleware('request')
async def start_transaction(request):
apm_client.begin_transaction('request')
@app.middleware('response')
async def end_transaction(request, response):
apm_client.end_transaction(request.uri_template, response.status)
async def get_ip():
async with ClientSession() as session:
## Implemented by API reference - https://www.elastic.co/guide/en/apm/agent/python/current/api.html
import elasticapm
import pymongo
import redis
import requests
apm_client = elasticapm.Client(
service_name='instrument',
server_url='http://localhost:8200',
)
redis_client = redis.Redis()
mongo_client = pymongo.MongoClient()
def uranium_enrichment():
requests.get('https://www.google.com/search?q=Where+i+can+find+enrichmed+uranium&oq=Where+i+can+find+enrichmed+uranium&aqs=chrome..69i57j33.32739j0j1&sourceid=chrome&ie=UTF-8')
def push_to_queue():
redis_client.lpush(
'til_atom_queue',
b'til lapanim',
)
def complete_mission():
mongo_client.til.missions.insert({
'id': 'til_atom',
'status': 'done',
def bench_init():
client = elasticapm.Client()
