def test_ignore_active_span(self):
"""Test Ignore Active Span."""
tracer = WavefrontTracer(ConsoleReporter(), self.application_tags)
scope = tracer.start_active_span('test_op')
active_span = scope.span
# Span created with ignore_active_span=False by default.
child_span = tracer.start_span(
operation_name='child_op',
ignore_active_span=False)
active_trace_id = str(active_span.trace_id)
child_trace_id = str(child_span.trace_id)
self.assertEqual(active_trace_id, child_trace_id)
child_span.finish()
# Span created with ignore_active_span=True.
child_span = tracer.start_span(
operation_name='child_op',
ignore_active_span=True)
child_trace_id = str(child_span.trace_id)
self.assertNotEqual(active_trace_id, child_trace_id)
child_span.finish()
scope.close()
tracer.close()
def test_active_span(self):
"""Test Active Span."""
tracer = WavefrontTracer(ConsoleReporter(), self.application_tags)
span = tracer.start_span('test_op_1')
self.assertIsNotNone(span)
span.finish()
scope = tracer.start_active_span('test_op_2', finish_on_close=True)
self.assertIsNotNone(scope)
self.assertIsNotNone(scope.span)
scope.close()
def test_error_span_duration_histogram(self, wf_sender):
"""Test duration histogram generated from error span."""
operation_name = 'dummy_op'
source = 'wavefront_source'
wf_sender = wf_sender()
tracer = WavefrontTracer(WavefrontSpanReporter(wf_sender, source),
self.application_tags,
report_frequency_millis=500)
with freezegun.freeze_time(datetime.datetime(
year=1, month=1, day=1)) as frozen_datetime:
span = tracer.start_active_span(operation_name=operation_name,
tags=[('tenant', 'tenant1'),
('env', 'staging')])
span.span.set_tag(opentracing.ext.tags.ERROR, True)
span.close()
frozen_datetime.tick(delta=datetime.timedelta(seconds=61))
time.sleep(1)
tracer.close()
wf_sender.assert_has_calls([
mock.call.send_distribution(
centroids=mock.ANY,
histogram_granularities={'!M'},
name='tracing.derived.app.service.{}.duration.'
'micros'.format(operation_name),
source=source,
tags={
'application': 'app',
'service': 'service',
'cluster': 'us-west-1',
'shard': 'primary',
'error': 'true',
'custom_k': 'custom_v',
'component': 'none',
'operationName': operation_name,
'span.kind': NULL_TAG_VAL
},
timestamp=mock.ANY)
],
any_order=True)
tracing_port=30000)
proxy_reporter = WavefrontSpanReporter(client=proxy_client, source=myhost)
# CompositeReporter takes a list of other reporters and invokes them one by one
# Use ConsoleReporter to output span data to console
#composite_reporter = CompositeReporter(proxy_reporter, ConsoleReporter())
#composite_reporter = CompositeReporter(ConsoleReporter())
composite_reporter = CompositeReporter(proxy_reporter)
tracer = WavefrontTracer(reporter=composite_reporter,
application_tags=application_tag)
# Create span1, return a newly started and activated Scope.
scope = tracer.start_active_span(operation_name='journeyRequest',
tags=global_tags,
ignore_active_span=True,
finish_on_close=True)
span1 = scope.span
time.sleep(getRandomNumber())
span1.finish()
# Create span2, child of span1
span2 = tracer.start_span(
operation_name='ParseRequest',
#references=opentracing.child_of(span1.context),
tags=global_tags)
# waiting for timeDelta in order to reproduce the Google API call duration
time.sleep(getRandomNumber())
span2.finish()
def test_custom_red_metrics_tags(self, wf_sender):
"""Test custom RED metrics tags."""
operation_name = 'dummy_op'
source = 'wavefront_source'
wf_sender = wf_sender()
tracer = WavefrontTracer(WavefrontSpanReporter(wf_sender, source),
self.application_tags,
samplers=[ConstantSampler(True)],
report_frequency_millis=500,
red_metrics_custom_tag_keys={'env', 'tenant'})
with freezegun.freeze_time(datetime.datetime(
year=1, month=1, day=1)) as frozen_datetime:
span = tracer.start_active_span(operation_name=operation_name,
tags=[('tenant', 'tenant1'),
('env', 'staging')])
span.close()
frozen_datetime.tick(delta=datetime.timedelta(seconds=61))
time.sleep(1)
tracer.close()
wf_sender.assert_has_calls([
mock.call.send_span(operation_name,
mock.ANY,
0,
source,
mock.ANY,
mock.ANY, [], [], [('tenant', 'tenant1'),
('env', 'staging'),
('application', 'app'),
('service', 'service'),
('cluster', 'us-west-1'),
('shard', 'primary'),
('custom_k', 'custom_v'),
('component', 'none')],
span_logs=[]),
mock.call.send_metric(
name='tracing.derived.app.service.{}.invocation.'
'count'.format(operation_name),
source=source,
tags={
'application': 'app',
'service': 'service',
'cluster': 'us-west-1',
'shard': 'primary',
'component': 'none',
'custom_k': 'custom_v',
'operationName': operation_name,
'tenant': 'tenant1',
'env': 'staging',
'span.kind': NULL_TAG_VAL
},
timestamp=None,
value=1),
mock.call.send_metric(
name='tracing.derived.app.service.{}.total_time.millis.'
'count'.format(operation_name),
source=source,
tags={
'application': 'app',
'service': 'service',
'cluster': 'us-west-1',
'shard': 'primary',
'component': 'none',
'custom_k': 'custom_v',
'operationName': 'dummy_op',
'tenant': 'tenant1',
'env': 'staging',
'span.kind': NULL_TAG_VAL
},
timestamp=None,
value=mock.ANY),
mock.call.send_metric(
'~component.heartbeat', 1.0, mock.ANY, source, {
'application': 'app',
'cluster': 'us-west-1',
'service': 'service',
'shard': 'primary',
'custom_k': 'custom_v',
'component': 'wavefront-generated'
}),
mock.call.send_distribution(
centroids=mock.ANY,
histogram_granularities={'!M'},
name='tracing.derived.app.service.{}.duration.'
'micros'.format(operation_name),
source=source,
tags={
'application': 'app',
'service': 'service',
'cluster': 'us-west-1',
'shard': 'primary',
'component': 'none',
'custom_k': 'custom_v',
'operationName': operation_name,
'tenant': 'tenant1',
'env': 'staging',
'span.kind': NULL_TAG_VAL
},
timestamp=mock.ANY)
],
any_order=True)
proxy_reporter = WavefrontSpanReporter(client=proxy_client, source=myhost)
# CompositeReporter takes a list of other reporters and invokes them one by one
# Use ConsoleReporter to output span data to console
#composite_reporter = CompositeReporter(proxy_reporter, ConsoleReporter())
#composite_reporter = CompositeReporter(ConsoleReporter())
composite_reporter = CompositeReporter(proxy_reporter)
tracer = WavefrontTracer(reporter=composite_reporter,
application_tags=application_tag)
# Create span1, return a newly started and activated Scope.
global_tags = [('Showroom', 'France')]
scope = tracer.start_active_span(operation_name='Google API calls',
tags=global_tags,
ignore_active_span=True,
finish_on_close=True)
span1 = scope.span
# waiting for timeDelta in order to reproduce the Google API call duration
time.sleep(timeDelta) # en sec, accepte des floats
# Create span2, child of span1
span2 = tracer.start_span(operation_name='Ingest data',
references=opentracing.child_of(span1.context),
tags=global_tags)
span2.log_kv({'foo': 'bar'})
# Create span3, child of span1
span3 = tracer.start_span(operation_name='Analyze',
child_of=span1,
metrics_port=2878)
proxy_reporter = WavefrontSpanReporter(proxy_client)
# Create Composite reporter.
# Use ConsoleReporter to output span data to console.
composite_reporter = CompositeReporter(proxy_reporter, direct_reporter,
ConsoleReporter())
# Create Tracer with Composite Reporter.
tracer = WavefrontTracer(reporter=composite_reporter)
global_tags = [("global_key", "global_val")]
# Create span1, return a newly started and activated Scope.
scope = tracer.start_active_span(operation_name="span1",
tags=global_tags,
ignore_active_span=True,
finish_on_close=True)
span1 = scope.span
time.sleep(1)
# Create span2, span3 child of span1.
span2 = tracer.start_span(operation_name="span2",
references=child_of(span1.context),
tags=[("span2_key", "span2_val")])
span3 = tracer.start_span(operation_name="span3",
child_of=span1,
tags=[("span3_key", "span3_val")])
time.sleep(2)
span2.finish()
time.sleep(1)
span3.finish()