def test_track_pageview_works_as_expected(self):
def process(data, context):
data.properties["NEW_PROP"] = "MYPROP"
context.user.id = "BOTUSER"
context.session.id = "BOTSESSION"
return True
sender = MockTelemetrySender()
queue = channel.SynchronousQueue(sender)
client = TelemetryClient(
'99999999-9999-9999-9999-999999999999',
channel.TelemetryChannel(context=None, queue=queue))
client.add_telemetry_processor(process)
client.context.device = None
client.track_pageview('test', 'http://tempuri.org', 13, {'foo': 'bar'},
{'x': 42})
client.flush()
expected = '{"ver": 1, "name": "Microsoft.ApplicationInsights.PageView", "time": "TIME_PLACEHOLDER", "sampleRate": 100.0, "iKey": "99999999-9999-9999-9999-999999999999", "tags": {"ai.device.id": "DEVICE_ID_PLACEHOLDER", "ai.device.locale": "DEVICE_LOCALE_PLACEHOLDER", "ai.device.osVersion": "DEVICE_OS_VERSION_PLACEHOLDER", "ai.device.type": "DEVICE_TYPE_PLACEHOLDER", "ai.internal.sdkVersion": "SDK_VERSION_PLACEHOLDER", "ai.session.id": "BOTSESSION", "ai.user.id": "BOTUSER"}, "data": {"baseType": "PageViewData", "baseData": {"ver": 2, "url": "http://tempuri.org", "name": "test", "duration": 13, "properties": {"NEW_PROP": "MYPROP", "foo": "bar"}, "measurements": {"x": 42}}}}'
sender.data.time = 'TIME_PLACEHOLDER'
sender.data.tags['ai.internal.sdkVersion'] = 'SDK_VERSION_PLACEHOLDER'
sender.data.tags['ai.device.id'] = "DEVICE_ID_PLACEHOLDER"
sender.data.tags['ai.device.locale'] = "DEVICE_LOCALE_PLACEHOLDER"
sender.data.tags[
'ai.device.osVersion'] = "DEVICE_OS_VERSION_PLACEHOLDER"
sender.data.tags['ai.device.type'] = "DEVICE_TYPE_PLACEHOLDER"
actual = json.dumps(sender.data.write())
self.maxDiff = None
self.assertEqual(expected, actual)
def test_track_metric_works_as_expected(self):
def process(data, context):
data.properties["NEW_PROP"] = "MYPROP"
context.user.id = "BOTUSER"
context.session.id = "BOTSESSION"
return True
sender = MockTelemetrySender()
queue = channel.SynchronousQueue(sender)
client = TelemetryClient(
'99999999-9999-9999-9999-999999999999',
channel.TelemetryChannel(context=None, queue=queue))
client.add_telemetry_processor(process)
client.context.device = None
client.track_metric('metric', 42,
channel.contracts.DataPointType.aggregation, 13, 1,
123, 111, {'foo': 'bar'})
client.flush()
expected = '{"ver": 1, "name": "Microsoft.ApplicationInsights.Metric", "time": "TIME_PLACEHOLDER", "sampleRate": 100.0, "iKey": "99999999-9999-9999-9999-999999999999", "tags": {"ai.device.id": "DEVICE_ID_PLACEHOLDER", "ai.device.locale": "DEVICE_LOCALE_PLACEHOLDER", "ai.device.osVersion": "DEVICE_OS_VERSION_PLACEHOLDER", "ai.device.type": "DEVICE_TYPE_PLACEHOLDER", "ai.internal.sdkVersion": "SDK_VERSION_PLACEHOLDER", "ai.session.id": "BOTSESSION", "ai.user.id": "BOTUSER"}, "data": {"baseType": "MetricData", "baseData": {"ver": 2, "metrics": [{"name": "metric", "kind": 1, "value": 42, "count": 13, "min": 1, "max": 123, "stdDev": 111}], "properties": {"NEW_PROP": "MYPROP", "foo": "bar"}}}}'
sender.data.time = 'TIME_PLACEHOLDER'
sender.data.tags['ai.internal.sdkVersion'] = 'SDK_VERSION_PLACEHOLDER'
sender.data.tags['ai.device.id'] = "DEVICE_ID_PLACEHOLDER"
sender.data.tags['ai.device.locale'] = "DEVICE_LOCALE_PLACEHOLDER"
sender.data.tags[
'ai.device.osVersion'] = "DEVICE_OS_VERSION_PLACEHOLDER"
sender.data.tags['ai.device.type'] = "DEVICE_TYPE_PLACEHOLDER"
actual = json.dumps(sender.data.write())
self.maxDiff = None
self.assertEqual(expected, actual)
def test_track_dependency_works_as_expected(self):
def process(data, context):
data.properties["NEW_PROP"] = "MYPROP"
context.user.id = "BOTUSER"
context.session.id = "BOTSESSION"
return True
sender = MockTelemetrySender()
queue = channel.SynchronousQueue(sender)
client = TelemetryClient(
channel.TelemetryChannel(context=None, queue=queue))
client.add_telemetry_processor(process)
client.context.instrumentation_key = '99999999-9999-9999-9999-999999999999'
client.context.device = None
client.track_dependency('test', 'COMMAND_PLACEHOLDER', 'HTTP',
'localhost', 13, True, 200, {'foo': 'bar'},
{'x': 42}, 'ID_PLACEHOLDER')
client.flush()
expected = '{"ver": 1, "name": "Microsoft.ApplicationInsights.RemoteDependency", "time": "TIME_PLACEHOLDER", "sampleRate": 100.0, "iKey": "99999999-9999-9999-9999-999999999999", "tags": {"ai.device.id": "DEVICE_ID_PLACEHOLDER", "ai.device.locale": "DEVICE_LOCALE_PLACEHOLDER", "ai.device.osVersion": "DEVICE_OS_VERSION_PLACEHOLDER", "ai.device.type": "DEVICE_TYPE_PLACEHOLDER", "ai.internal.sdkVersion": "SDK_VERSION_PLACEHOLDER", "ai.session.id": "BOTSESSION", "ai.user.id": "BOTUSER"}, "data": {"baseType": "RemoteDependencyData", "baseData": {"ver": 2, "name": "test", "id": "ID_PLACEHOLDER", "resultCode": "200", "duration": "00:00:00.013", "success": true, "data": "COMMAND_PLACEHOLDER", "target": "localhost", "type": "HTTP", "properties": {"NEW_PROP": "MYPROP", "foo": "bar"}, "measurements": {"x": 42}}}}'
sender.data.time = 'TIME_PLACEHOLDER'
sender.data.tags['ai.internal.sdkVersion'] = 'SDK_VERSION_PLACEHOLDER'
sender.data.tags['ai.device.id'] = "DEVICE_ID_PLACEHOLDER"
sender.data.tags['ai.device.locale'] = "DEVICE_LOCALE_PLACEHOLDER"
sender.data.tags[
'ai.device.osVersion'] = "DEVICE_OS_VERSION_PLACEHOLDER"
sender.data.tags['ai.device.type'] = "DEVICE_TYPE_PLACEHOLDER"
actual = json.dumps(sender.data.write())
self.maxDiff = None
self.assertEqual(expected, actual)
def test_track_event_modifes_options(self):
def process(data, context):
context.user.id = "BOTUSER"
context.session.id = "BOTSESSION"
return True
sender = MockTelemetrySender()
queue = channel.SynchronousQueue(sender)
client = TelemetryClient(
'99999999-9999-9999-9999-999999999999',
channel.TelemetryChannel(context=None, queue=queue))
client.add_telemetry_processor(process)
client.context.device = None
client.context.properties['foo'] = 'bar'
client.track_event('test')
client.flush()
expected = '{"ver": 1, "name": "Microsoft.ApplicationInsights.Event", "time": "TIME_PLACEHOLDER", "sampleRate": 100.0, "iKey": "99999999-9999-9999-9999-999999999999", "tags": {"ai.device.id": "DEVICE_ID_PLACEHOLDER", "ai.device.locale": "DEVICE_LOCALE_PLACEHOLDER", "ai.device.osVersion": "DEVICE_OS_VERSION_PLACEHOLDER", "ai.device.type": "DEVICE_TYPE_PLACEHOLDER", "ai.internal.sdkVersion": "SDK_VERSION_PLACEHOLDER", "ai.session.id": "BOTSESSION", "ai.user.id": "BOTUSER"}, "data": {"baseType": "EventData", "baseData": {"ver": 2, "name": "test", "properties": {"foo": "bar"}}}}'
sender.data.time = 'TIME_PLACEHOLDER'
sender.data.tags['ai.internal.sdkVersion'] = 'SDK_VERSION_PLACEHOLDER'
sender.data.tags['ai.device.id'] = "DEVICE_ID_PLACEHOLDER"
sender.data.tags['ai.device.locale'] = "DEVICE_LOCALE_PLACEHOLDER"
sender.data.tags[
'ai.device.osVersion'] = "DEVICE_OS_VERSION_PLACEHOLDER"
sender.data.tags['ai.device.type'] = "DEVICE_TYPE_PLACEHOLDER"
actual = json.dumps(sender.data.write())
self.maxDiff = None
self.assertEqual(expected, actual)
def test_track_dependency_works_as_expected(self):
def process(data, context):
data.properties["NEW_PROP"] = "MYPROP"
context.user.id = "BOTUSER"
context.session.id = "BOTSESSION"
return True
sender = MockTelemetrySender()
queue = channel.SynchronousQueue(sender)
client = TelemetryClient(channel.TelemetryChannel(context=None, queue=queue))
client.add_telemetry_processor(process)
client.context.instrumentation_key = '99999999-9999-9999-9999-999999999999'
client.context.device = None
client.track_dependency('test', 'COMMAND_PLACEHOLDER', 'HTTP', 'localhost', 13, True, 200, { 'foo': 'bar' }, { 'x': 42 }, 'ID_PLACEHOLDER')
client.flush()
expected = '{"ver": 1, "name": "Microsoft.ApplicationInsights.RemoteDependency", "time": "TIME_PLACEHOLDER", "sampleRate": 100.0, "iKey": "99999999-9999-9999-9999-999999999999", "tags": {"ai.device.id": "DEVICE_ID_PLACEHOLDER", "ai.device.locale": "DEVICE_LOCALE_PLACEHOLDER", "ai.device.osVersion": "DEVICE_OS_VERSION_PLACEHOLDER", "ai.device.type": "DEVICE_TYPE_PLACEHOLDER", "ai.internal.sdkVersion": "SDK_VERSION_PLACEHOLDER", "ai.session.id": "BOTSESSION", "ai.user.id": "BOTUSER"}, "data": {"baseType": "RemoteDependencyData", "baseData": {"ver": 2, "name": "test", "id": "ID_PLACEHOLDER", "resultCode": "200", "duration": "00:00:00.013", "success": true, "data": "COMMAND_PLACEHOLDER", "target": "localhost", "type": "HTTP", "properties": {"NEW_PROP": "MYPROP", "foo": "bar"}, "measurements": {"x": 42}}}}'
sender.data.time = 'TIME_PLACEHOLDER'
sender.data.tags['ai.internal.sdkVersion'] = 'SDK_VERSION_PLACEHOLDER'
sender.data.tags['ai.device.id'] = "DEVICE_ID_PLACEHOLDER"
sender.data.tags['ai.device.locale'] = "DEVICE_LOCALE_PLACEHOLDER"
sender.data.tags['ai.device.osVersion'] = "DEVICE_OS_VERSION_PLACEHOLDER"
sender.data.tags['ai.device.type'] = "DEVICE_TYPE_PLACEHOLDER"
actual = json.dumps(sender.data.write())
self.maxDiff = None
self.assertEqual(expected, actual)
def test_track_exception_works_as_expected(self):
def process(data, context):
data.properties["NEW_PROP"] = "MYPROP"
context.user.id = "BOTUSER"
context.session.id = "BOTSESSION"
return True
sender = MockTelemetrySender()
queue = channel.SynchronousQueue(sender)
client = TelemetryClient(
'99999999-9999-9999-9999-999999999999',
channel.TelemetryChannel(context=None, queue=queue))
client.add_telemetry_processor(process)
client.context.device = None
try:
raise Exception("blah")
except Exception as e:
client.track_exception(*sys.exc_info(),
properties={},
measurements={'x': 42})
client.flush()
expected = '{"ver": 1, "name": "Microsoft.ApplicationInsights.Exception", "time": "TIME_PLACEHOLDER", "sampleRate": 100.0, "iKey": "99999999-9999-9999-9999-999999999999", "tags": {"ai.device.id": "DEVICE_ID_PLACEHOLDER", "ai.device.locale": "DEVICE_LOCALE_PLACEHOLDER", "ai.device.osVersion": "DEVICE_OS_VERSION_PLACEHOLDER", "ai.device.type": "DEVICE_TYPE_PLACEHOLDER", "ai.internal.sdkVersion": "SDK_VERSION_PLACEHOLDER", "ai.session.id": "BOTSESSION", "ai.user.id": "BOTUSER"}, "data": {"baseType": "ExceptionData", "baseData": {"ver": 2, "exceptions": [{"id": 1, "outerId": 0, "typeName": "Exception", "message": "blah", "hasFullStack": true, "parsedStack": [{"level": 0, "method": "test_track_exception_works_as_expected", "assembly": "Unknown", "fileName": "TestTelemetryProcessor.py", "line": 0}]}], "properties": {"NEW_PROP": "MYPROP"}, "measurements": {"x": 42}}}}'
sender.data.time = 'TIME_PLACEHOLDER'
sender.data.tags['ai.internal.sdkVersion'] = 'SDK_VERSION_PLACEHOLDER'
sender.data.tags['ai.device.id'] = "DEVICE_ID_PLACEHOLDER"
sender.data.tags['ai.device.locale'] = "DEVICE_LOCALE_PLACEHOLDER"
sender.data.tags[
'ai.device.osVersion'] = "DEVICE_OS_VERSION_PLACEHOLDER"
sender.data.tags['ai.device.type'] = "DEVICE_TYPE_PLACEHOLDER"
for item in sender.data.data.base_data.exceptions:
for frame in item.parsed_stack:
frame.file_name = os.path.basename(frame.file_name)
frame.line = 0
actual = json.dumps(sender.data.write())
self.maxDiff = None
self.assertEqual(expected, actual)
try:
raise Exception("blah")
except Exception as e:
client.track_exception()
client.flush()
expected = '{"ver": 1, "name": "Microsoft.ApplicationInsights.Exception", "time": "TIME_PLACEHOLDER", "sampleRate": 100.0, "iKey": "99999999-9999-9999-9999-999999999999", "tags": {"ai.device.id": "DEVICE_ID_PLACEHOLDER", "ai.device.locale": "DEVICE_LOCALE_PLACEHOLDER", "ai.device.osVersion": "DEVICE_OS_VERSION_PLACEHOLDER", "ai.device.type": "DEVICE_TYPE_PLACEHOLDER", "ai.internal.sdkVersion": "SDK_VERSION_PLACEHOLDER", "ai.session.id": "BOTSESSION", "ai.user.id": "BOTUSER"}, "data": {"baseType": "ExceptionData", "baseData": {"ver": 2, "exceptions": [{"id": 1, "outerId": 0, "typeName": "Exception", "message": "blah", "hasFullStack": true, "parsedStack": [{"level": 0, "method": "test_track_exception_works_as_expected", "assembly": "Unknown", "fileName": "TestTelemetryProcessor.py", "line": 0}]}], "properties": {"NEW_PROP": "MYPROP"}}}}'
sender.data.time = 'TIME_PLACEHOLDER'
sender.data.tags['ai.internal.sdkVersion'] = 'SDK_VERSION_PLACEHOLDER'
sender.data.tags['ai.device.id'] = "DEVICE_ID_PLACEHOLDER"
sender.data.tags['ai.device.locale'] = "DEVICE_LOCALE_PLACEHOLDER"
sender.data.tags[
'ai.device.osVersion'] = "DEVICE_OS_VERSION_PLACEHOLDER"
sender.data.tags['ai.device.type'] = "DEVICE_TYPE_PLACEHOLDER"
for item in sender.data.data.base_data.exceptions:
for frame in item.parsed_stack:
frame.file_name = os.path.basename(frame.file_name)
frame.line = 0
actual = json.dumps(sender.data.write())
self.assertEqual(expected, actual)
def test_track_event_processor_filtered(self):
def process(data, context):
return False # Filter the event
sender = MockTelemetrySender()
queue = channel.SynchronousQueue(sender)
client = TelemetryClient('99999999-9999-9999-9999-999999999999', channel.TelemetryChannel(context=None, queue=queue))
client.add_telemetry_processor(process)
client.context.device = None
client.track_event('test', { 'foo': 'bar' }, { 'x': 42 })
client.flush()
self.assertEqual(None, sender.data)
def test_track_event_with_common_processor_two_clients(self):
def process(data, context):
data.properties["NEW_PROP"] = "MYPROP"
context.user.id = "BOTUSER"
context.session.id = "BOTSESSION"
return True
key = '99999999-9999-9999-9999-999999999999'
sender = MockTelemetrySender()
queue = channel.SynchronousQueue(sender)
chan = channel.TelemetryChannel(queue=queue)
chan.context.properties['foo'] = 'bar'
client1 = TelemetryClient(key, chan)
client1.add_telemetry_processor(process)
client1.context.device = None
client1.context.properties['x'] = 42
client2 = TelemetryClient(key, chan)
client2.add_telemetry_processor(process)
client2.context.device = None
client2.context.properties['x'] = 84
client1.track_event('test 1')
client1.flush()
sender.data.time = 'TIME_PLACEHOLDER'
sender.data.tags['ai.internal.sdkVersion'] = 'SDK_VERSION_PLACEHOLDER'
sender.data.tags['ai.device.id'] = "DEVICE_ID_PLACEHOLDER"
sender.data.tags['ai.device.locale'] = "DEVICE_LOCALE_PLACEHOLDER"
sender.data.tags[
'ai.device.osVersion'] = "DEVICE_OS_VERSION_PLACEHOLDER"
sender.data.tags['ai.device.type'] = "DEVICE_TYPE_PLACEHOLDER"
actual = json.dumps(sender.data.write())
expected = '{"ver": 1, "name": "Microsoft.ApplicationInsights.Event", "time": "TIME_PLACEHOLDER", "sampleRate": 100.0, "iKey": "99999999-9999-9999-9999-999999999999", "tags": {"ai.device.id": "DEVICE_ID_PLACEHOLDER", "ai.device.locale": "DEVICE_LOCALE_PLACEHOLDER", "ai.device.osVersion": "DEVICE_OS_VERSION_PLACEHOLDER", "ai.device.type": "DEVICE_TYPE_PLACEHOLDER", "ai.internal.sdkVersion": "SDK_VERSION_PLACEHOLDER", "ai.session.id": "BOTSESSION", "ai.user.id": "BOTUSER"}, "data": {"baseType": "EventData", "baseData": {"ver": 2, "name": "test 1", "properties": {"NEW_PROP": "MYPROP", "foo": "bar", "x": 42}}}}'
self.maxDiff = None
self.assertEqual(expected, actual)
client2.track_event('test 2')
client2.flush()
sender.data.time = 'TIME_PLACEHOLDER'
sender.data.tags['ai.internal.sdkVersion'] = 'SDK_VERSION_PLACEHOLDER'
sender.data.tags['ai.device.id'] = "DEVICE_ID_PLACEHOLDER"
sender.data.tags['ai.device.locale'] = "DEVICE_LOCALE_PLACEHOLDER"
sender.data.tags[
'ai.device.osVersion'] = "DEVICE_OS_VERSION_PLACEHOLDER"
sender.data.tags['ai.device.type'] = "DEVICE_TYPE_PLACEHOLDER"
actual = json.dumps(sender.data.write())
expected = '{"ver": 1, "name": "Microsoft.ApplicationInsights.Event", "time": "TIME_PLACEHOLDER", "sampleRate": 100.0, "iKey": "99999999-9999-9999-9999-999999999999", "tags": {"ai.device.id": "DEVICE_ID_PLACEHOLDER", "ai.device.locale": "DEVICE_LOCALE_PLACEHOLDER", "ai.device.osVersion": "DEVICE_OS_VERSION_PLACEHOLDER", "ai.device.type": "DEVICE_TYPE_PLACEHOLDER", "ai.internal.sdkVersion": "SDK_VERSION_PLACEHOLDER", "ai.session.id": "BOTSESSION", "ai.user.id": "BOTUSER"}, "data": {"baseType": "EventData", "baseData": {"ver": 2, "name": "test 2", "properties": {"NEW_PROP": "MYPROP", "foo": "bar", "x": 84}}}}'
self.assertEqual(expected, actual)
def test_track_event_processor_filtered(self):
def process(data, context):
return False # Filter the event
sender = MockTelemetrySender()
queue = channel.SynchronousQueue(sender)
client = TelemetryClient(
'99999999-9999-9999-9999-999999999999',
channel.TelemetryChannel(context=None, queue=queue))
client.add_telemetry_processor(process)
client.context.device = None
client.track_event('test', {'foo': 'bar'}, {'x': 42})
client.flush()
self.assertEqual(None, sender.data)
def test_track_exception_works_as_expected(self):
def process(data, context):
data.properties["NEW_PROP"] = "MYPROP"
context.user.id = "BOTUSER"
context.session.id = "BOTSESSION"
return True
sender = MockTelemetrySender()
queue = channel.SynchronousQueue(sender)
client = TelemetryClient('99999999-9999-9999-9999-999999999999', channel.TelemetryChannel(context=None, queue=queue))
client.add_telemetry_processor(process)
client.context.device = None
try:
raise Exception("blah")
except Exception as e:
client.track_exception(*sys.exc_info(), properties={}, measurements={ 'x': 42 })
client.flush()
expected = '{"ver": 1, "name": "Microsoft.ApplicationInsights.Exception", "time": "TIME_PLACEHOLDER", "sampleRate": 100.0, "iKey": "99999999-9999-9999-9999-999999999999", "tags": {"ai.device.id": "DEVICE_ID_PLACEHOLDER", "ai.device.locale": "DEVICE_LOCALE_PLACEHOLDER", "ai.device.osVersion": "DEVICE_OS_VERSION_PLACEHOLDER", "ai.device.type": "DEVICE_TYPE_PLACEHOLDER", "ai.internal.sdkVersion": "SDK_VERSION_PLACEHOLDER", "ai.session.id": "BOTSESSION", "ai.user.id": "BOTUSER"}, "data": {"baseType": "ExceptionData", "baseData": {"ver": 2, "exceptions": [{"id": 1, "outerId": 0, "typeName": "Exception", "message": "blah", "hasFullStack": true, "parsedStack": [{"level": 0, "method": "test_track_exception_works_as_expected", "assembly": "Unknown", "fileName": "TestTelemetryProcessor.py", "line": 0}]}], "properties": {"NEW_PROP": "MYPROP"}, "measurements": {"x": 42}}}}'
sender.data.time = 'TIME_PLACEHOLDER'
sender.data.tags['ai.internal.sdkVersion'] = 'SDK_VERSION_PLACEHOLDER'
sender.data.tags['ai.device.id'] = "DEVICE_ID_PLACEHOLDER"
sender.data.tags['ai.device.locale'] = "DEVICE_LOCALE_PLACEHOLDER"
sender.data.tags['ai.device.osVersion'] = "DEVICE_OS_VERSION_PLACEHOLDER"
sender.data.tags['ai.device.type'] = "DEVICE_TYPE_PLACEHOLDER"
for item in sender.data.data.base_data.exceptions:
for frame in item.parsed_stack:
frame.file_name = os.path.basename(frame.file_name)
frame.line = 0
actual = json.dumps(sender.data.write())
self.maxDiff = None
self.assertEqual(expected, actual)
try:
raise Exception("blah")
except Exception as e:
client.track_exception()
client.flush()
expected = '{"ver": 1, "name": "Microsoft.ApplicationInsights.Exception", "time": "TIME_PLACEHOLDER", "sampleRate": 100.0, "iKey": "99999999-9999-9999-9999-999999999999", "tags": {"ai.device.id": "DEVICE_ID_PLACEHOLDER", "ai.device.locale": "DEVICE_LOCALE_PLACEHOLDER", "ai.device.osVersion": "DEVICE_OS_VERSION_PLACEHOLDER", "ai.device.type": "DEVICE_TYPE_PLACEHOLDER", "ai.internal.sdkVersion": "SDK_VERSION_PLACEHOLDER", "ai.session.id": "BOTSESSION", "ai.user.id": "BOTUSER"}, "data": {"baseType": "ExceptionData", "baseData": {"ver": 2, "exceptions": [{"id": 1, "outerId": 0, "typeName": "Exception", "message": "blah", "hasFullStack": true, "parsedStack": [{"level": 0, "method": "test_track_exception_works_as_expected", "assembly": "Unknown", "fileName": "TestTelemetryProcessor.py", "line": 0}]}], "properties": {"NEW_PROP": "MYPROP"}}}}'
sender.data.time = 'TIME_PLACEHOLDER'
sender.data.tags['ai.internal.sdkVersion'] = 'SDK_VERSION_PLACEHOLDER'
sender.data.tags['ai.device.id'] = "DEVICE_ID_PLACEHOLDER"
sender.data.tags['ai.device.locale'] = "DEVICE_LOCALE_PLACEHOLDER"
sender.data.tags['ai.device.osVersion'] = "DEVICE_OS_VERSION_PLACEHOLDER"
sender.data.tags['ai.device.type'] = "DEVICE_TYPE_PLACEHOLDER"
for item in sender.data.data.base_data.exceptions:
for frame in item.parsed_stack:
frame.file_name = os.path.basename(frame.file_name)
frame.line = 0
actual = json.dumps(sender.data.write())
self.assertEqual(expected, actual)
def test_track_event_with_common_processor_two_clients(self):
def process(data, context):
data.properties["NEW_PROP"] = "MYPROP"
context.user.id = "BOTUSER"
context.session.id = "BOTSESSION"
return True
key = '99999999-9999-9999-9999-999999999999'
sender = MockTelemetrySender()
queue = channel.SynchronousQueue(sender)
chan = channel.TelemetryChannel(queue=queue)
chan.context.properties['foo'] = 'bar'
client1 = TelemetryClient(key, chan)
client1.add_telemetry_processor(process)
client1.context.device = None
client1.context.properties['x'] = 42
client2 = TelemetryClient(key, chan)
client2.add_telemetry_processor(process)
client2.context.device = None
client2.context.properties['x'] = 84
client1.track_event('test 1')
client1.flush()
sender.data.time = 'TIME_PLACEHOLDER'
sender.data.tags['ai.internal.sdkVersion'] = 'SDK_VERSION_PLACEHOLDER'
sender.data.tags['ai.device.id'] = "DEVICE_ID_PLACEHOLDER"
sender.data.tags['ai.device.locale'] = "DEVICE_LOCALE_PLACEHOLDER"
sender.data.tags['ai.device.osVersion'] = "DEVICE_OS_VERSION_PLACEHOLDER"
sender.data.tags['ai.device.type'] = "DEVICE_TYPE_PLACEHOLDER"
actual = json.dumps(sender.data.write())
expected = '{"ver": 1, "name": "Microsoft.ApplicationInsights.Event", "time": "TIME_PLACEHOLDER", "sampleRate": 100.0, "iKey": "99999999-9999-9999-9999-999999999999", "tags": {"ai.device.id": "DEVICE_ID_PLACEHOLDER", "ai.device.locale": "DEVICE_LOCALE_PLACEHOLDER", "ai.device.osVersion": "DEVICE_OS_VERSION_PLACEHOLDER", "ai.device.type": "DEVICE_TYPE_PLACEHOLDER", "ai.internal.sdkVersion": "SDK_VERSION_PLACEHOLDER", "ai.session.id": "BOTSESSION", "ai.user.id": "BOTUSER"}, "data": {"baseType": "EventData", "baseData": {"ver": 2, "name": "test 1", "properties": {"NEW_PROP": "MYPROP", "foo": "bar", "x": 42}}}}'
self.maxDiff = None
self.assertEqual(expected, actual)
client2.track_event('test 2')
client2.flush()
sender.data.time = 'TIME_PLACEHOLDER'
sender.data.tags['ai.internal.sdkVersion'] = 'SDK_VERSION_PLACEHOLDER'
sender.data.tags['ai.device.id'] = "DEVICE_ID_PLACEHOLDER"
sender.data.tags['ai.device.locale'] = "DEVICE_LOCALE_PLACEHOLDER"
sender.data.tags['ai.device.osVersion'] = "DEVICE_OS_VERSION_PLACEHOLDER"
sender.data.tags['ai.device.type'] = "DEVICE_TYPE_PLACEHOLDER"
actual = json.dumps(sender.data.write())
expected = '{"ver": 1, "name": "Microsoft.ApplicationInsights.Event", "time": "TIME_PLACEHOLDER", "sampleRate": 100.0, "iKey": "99999999-9999-9999-9999-999999999999", "tags": {"ai.device.id": "DEVICE_ID_PLACEHOLDER", "ai.device.locale": "DEVICE_LOCALE_PLACEHOLDER", "ai.device.osVersion": "DEVICE_OS_VERSION_PLACEHOLDER", "ai.device.type": "DEVICE_TYPE_PLACEHOLDER", "ai.internal.sdkVersion": "SDK_VERSION_PLACEHOLDER", "ai.session.id": "BOTSESSION", "ai.user.id": "BOTUSER"}, "data": {"baseType": "EventData", "baseData": {"ver": 2, "name": "test 2", "properties": {"NEW_PROP": "MYPROP", "foo": "bar", "x": 84}}}}'
self.assertEqual(expected, actual)
def get_telemetry_client_with_processor(
key: str,
channel: TelemetryChannel,
telemetry_processor: TelemetryProcessor = None) -> TelemetryClient:
"""Gets a telemetry client instance with a telemetry processor.
:param key: instrumentation key
:type key: str
:param channel: Telemetry channel
:type channel: TelemetryChannel
:param telemetry_processor: use an existing telemetry processor from caller.
:type telemetry_processor: TelemetryProcessor
:return: a telemetry client with telemetry processor.
:rtype: TelemetryClient
"""
client = TelemetryClient(key, channel)
processor = (telemetry_processor if telemetry_processor is not None else
DjangoTelemetryProcessor())
client.add_telemetry_processor(processor)
return client
def test_track_event_processor_modifies_data(self):
def process(data, context):
data.name = "WOWTESTING"
data.ver = 30000
return True
sender = MockTelemetrySender()
queue = channel.SynchronousQueue(sender)
client = TelemetryClient('99999999-9999-9999-9999-999999999999', channel.TelemetryChannel(context=None, queue=queue))
client.add_telemetry_processor(process)
client.context.device = None
client.track_event('test', { 'foo': 'bar' }, { 'x': 42 })
client.flush()
expected = '{"ver": 1, "name": "Microsoft.ApplicationInsights.Event", "time": "TIME_PLACEHOLDER", "sampleRate": 100.0, "iKey": "99999999-9999-9999-9999-999999999999", "tags": {"ai.device.id": "DEVICE_ID_PLACEHOLDER", "ai.device.locale": "DEVICE_LOCALE_PLACEHOLDER", "ai.device.osVersion": "DEVICE_OS_VERSION_PLACEHOLDER", "ai.device.type": "DEVICE_TYPE_PLACEHOLDER", "ai.internal.sdkVersion": "SDK_VERSION_PLACEHOLDER"}, "data": {"baseType": "EventData", "baseData": {"ver": 30000, "name": "WOWTESTING", "properties": {"foo": "bar"}, "measurements": {"x": 42}}}}'
sender.data.time = 'TIME_PLACEHOLDER'
sender.data.tags['ai.internal.sdkVersion'] = 'SDK_VERSION_PLACEHOLDER'
sender.data.tags['ai.device.id'] = "DEVICE_ID_PLACEHOLDER"
sender.data.tags['ai.device.locale'] = "DEVICE_LOCALE_PLACEHOLDER"
sender.data.tags['ai.device.osVersion'] = "DEVICE_OS_VERSION_PLACEHOLDER"
sender.data.tags['ai.device.type'] = "DEVICE_TYPE_PLACEHOLDER"
actual = json.dumps(sender.data.write())
self.maxDiff = None
self.assertEqual(expected, actual)
def test_track_metric_works_as_expected(self):
def process(data, context):
data.properties["NEW_PROP"] = "MYPROP"
context.user.id = "BOTUSER"
context.session.id = "BOTSESSION"
return True
sender = MockTelemetrySender()
queue = channel.SynchronousQueue(sender)
client = TelemetryClient('99999999-9999-9999-9999-999999999999', channel.TelemetryChannel(context=None, queue=queue))
client.add_telemetry_processor(process)
client.context.device = None
client.track_metric('metric', 42, channel.contracts.DataPointType.aggregation, 13, 1, 123, 111, {'foo': 'bar'})
client.flush()
expected = '{"ver": 1, "name": "Microsoft.ApplicationInsights.Metric", "time": "TIME_PLACEHOLDER", "sampleRate": 100.0, "iKey": "99999999-9999-9999-9999-999999999999", "tags": {"ai.device.id": "DEVICE_ID_PLACEHOLDER", "ai.device.locale": "DEVICE_LOCALE_PLACEHOLDER", "ai.device.osVersion": "DEVICE_OS_VERSION_PLACEHOLDER", "ai.device.type": "DEVICE_TYPE_PLACEHOLDER", "ai.internal.sdkVersion": "SDK_VERSION_PLACEHOLDER", "ai.session.id": "BOTSESSION", "ai.user.id": "BOTUSER"}, "data": {"baseType": "MetricData", "baseData": {"ver": 2, "metrics": [{"name": "metric", "kind": 1, "value": 42, "count": 13, "min": 1, "max": 123, "stdDev": 111}], "properties": {"NEW_PROP": "MYPROP", "foo": "bar"}}}}'
sender.data.time = 'TIME_PLACEHOLDER'
sender.data.tags['ai.internal.sdkVersion'] = 'SDK_VERSION_PLACEHOLDER'
sender.data.tags['ai.device.id'] = "DEVICE_ID_PLACEHOLDER"
sender.data.tags['ai.device.locale'] = "DEVICE_LOCALE_PLACEHOLDER"
sender.data.tags['ai.device.osVersion'] = "DEVICE_OS_VERSION_PLACEHOLDER"
sender.data.tags['ai.device.type'] = "DEVICE_TYPE_PLACEHOLDER"
actual = json.dumps(sender.data.write())
self.maxDiff = None
self.assertEqual(expected, actual)
def test_track_pageview_works_as_expected(self):
def process(data, context):
data.properties["NEW_PROP"] = "MYPROP"
context.user.id = "BOTUSER"
context.session.id = "BOTSESSION"
return True
sender = MockTelemetrySender()
queue = channel.SynchronousQueue(sender)
client = TelemetryClient('99999999-9999-9999-9999-999999999999', channel.TelemetryChannel(context=None, queue=queue))
client.add_telemetry_processor(process)
client.context.device = None
client.track_pageview('test', 'http://tempuri.org', 13, { 'foo': 'bar' }, { 'x': 42 })
client.flush()
expected = '{"ver": 1, "name": "Microsoft.ApplicationInsights.PageView", "time": "TIME_PLACEHOLDER", "sampleRate": 100.0, "iKey": "99999999-9999-9999-9999-999999999999", "tags": {"ai.device.id": "DEVICE_ID_PLACEHOLDER", "ai.device.locale": "DEVICE_LOCALE_PLACEHOLDER", "ai.device.osVersion": "DEVICE_OS_VERSION_PLACEHOLDER", "ai.device.type": "DEVICE_TYPE_PLACEHOLDER", "ai.internal.sdkVersion": "SDK_VERSION_PLACEHOLDER", "ai.session.id": "BOTSESSION", "ai.user.id": "BOTUSER"}, "data": {"baseType": "PageViewData", "baseData": {"ver": 2, "url": "http://tempuri.org", "name": "test", "duration": 13, "properties": {"NEW_PROP": "MYPROP", "foo": "bar"}, "measurements": {"x": 42}}}}'
sender.data.time = 'TIME_PLACEHOLDER'
sender.data.tags['ai.internal.sdkVersion'] = 'SDK_VERSION_PLACEHOLDER'
sender.data.tags['ai.device.id'] = "DEVICE_ID_PLACEHOLDER"
sender.data.tags['ai.device.locale'] = "DEVICE_LOCALE_PLACEHOLDER"
sender.data.tags['ai.device.osVersion'] = "DEVICE_OS_VERSION_PLACEHOLDER"
sender.data.tags['ai.device.type'] = "DEVICE_TYPE_PLACEHOLDER"
actual = json.dumps(sender.data.write())
self.maxDiff = None
self.assertEqual(expected, actual)
class ApplicationInsightsTelemetryClient(BotTelemetryClient):
def __init__(self, instrumentation_key: str):
self._instrumentation_key = instrumentation_key
self._client = TelemetryClient(self._instrumentation_key)
# Telemetry Processor
def telemetry_processor(data, context):
post_data = IntegrationPostData().activity_json
# Override session and user id
from_prop = post_data['from'] if 'from' in post_data else None
user_id = from_prop['id'] if from_prop != None else None
channel_id = post_data[
'channelId'] if 'channelId' in post_data else None
conversation = post_data[
'conversation'] if 'conversation' in post_data else None
conversation_id = conversation[
'id'] if 'id' in conversation else None
context.user.id = channel_id + user_id
context.session.id = conversation_id
# Additional bot-specific properties
if 'activityId' in post_data:
data.properties["activityId"] = post_data['activityId']
if 'channelId' in post_data:
data.properties["channelId"] = post_data['channelId']
if 'activityType' in post_data:
data.properties["activityType"] = post_data['activityType']
self._client.add_telemetry_processor(telemetry_processor)
def track_pageview(self,
name: str,
url: str,
duration: int = 0,
properties: Dict[str, object] = None,
measurements: Dict[str, object] = None) -> None:
"""
Send information about the page viewed in the application (a web page for instance).
:param name: the name of the page that was viewed.
:param url: the URL of the page that was viewed.
:param duration: the duration of the page view in milliseconds. (defaults to: 0)
:param properties: the set of custom properties the client wants attached to this data item. (defaults to: None)
:param measurements: the set of custom measurements the client wants to attach to this data item. (defaults to: None)
"""
self._client.track_pageview(name, url, duration, properties,
measurements)
def track_exception(self,
type_exception: type = None,
value: Exception = None,
tb: traceback = None,
properties: Dict[str, object] = None,
measurements: Dict[str, object] = None) -> None:
"""
Send information about a single exception that occurred in the application.
:param type_exception: the type of the exception that was thrown.
:param value: the exception that the client wants to send.
:param tb: the traceback information as returned by :func:`sys.exc_info`.
:param properties: the set of custom properties the client wants attached to this data item. (defaults to: None)
:param measurements: the set of custom measurements the client wants to attach to this data item. (defaults to: None)
"""
self._client.track_exception(type_exception, value, tb, properties,
measurements)
def track_event(self,
name: str,
properties: Dict[str, object] = None,
measurements: Dict[str, object] = None) -> None:
"""
Send information about a single event that has occurred in the context of the application.
:param name: the data to associate to this event.
:param properties: the set of custom properties the client wants attached to this data item. (defaults to: None)
:param measurements: the set of custom measurements the client wants to attach to this data item. (defaults to: None)
"""
self._client.track_event(name, properties, measurements)
def track_metric(self,
name: str,
value: float,
type: TelemetryDataPointType = None,
count: int = None,
min: float = None,
max: float = None,
std_dev: float = None,
properties: Dict[str, object] = None) -> NotImplemented:
"""
Send information about a single metric data point that was captured for the application.
:param name: The name of the metric that was captured.
:param value: The value of the metric that was captured.
:param type: The type of the metric. (defaults to: TelemetryDataPointType.aggregation`)
:param count: the number of metrics that were aggregated into this data point. (defaults to: None)
:param min: the minimum of all metrics collected that were aggregated into this data point. (defaults to: None)
:param max: the maximum of all metrics collected that were aggregated into this data point. (defaults to: None)
:param std_dev: the standard deviation of all metrics collected that were aggregated into this data point. (defaults to: None)
:param properties: the set of custom properties the client wants attached to this data item. (defaults to: None)
"""
self._client.track_metric(name, value, type, count, min, max, std_dev,
properties)
def track_trace(self,
name: str,
properties: Dict[str, object] = None,
severity=None):
"""
Sends a single trace statement.
:param name: the trace statement.\n
:param properties: the set of custom properties the client wants attached to this data item. (defaults to: None)\n
:param severity: the severity level of this trace, one of DEBUG, INFO, WARNING, ERROR, CRITICAL
"""
self._client.track_trace(name, properties, severity)
def track_request(self,
name: str,
url: str,
success: bool,
start_time: str = None,
duration: int = None,
response_code: str = None,
http_method: str = None,
properties: Dict[str, object] = None,
measurements: Dict[str, object] = None,
request_id: str = None):
"""
Sends a single request that was captured for the application.
:param name: The name for this request. All requests with the same name will be grouped together.
:param url: The actual URL for this request (to show in individual request instances).
:param success: True if the request ended in success, False otherwise.
:param start_time: the start time of the request. The value should look the same as the one returned by :func:`datetime.isoformat()` (defaults to: None)
:param duration: the number of milliseconds that this request lasted. (defaults to: None)
:param response_code: the response code that this request returned. (defaults to: None)
:param http_method: the HTTP method that triggered this request. (defaults to: None)
:param properties: the set of custom properties the client wants attached to this data item. (defaults to: None)
:param measurements: the set of custom measurements the client wants to attach to this data item. (defaults to: None)
:param request_id: the id for this request. If None, a new uuid will be generated. (defaults to: None)
"""
self._client.track_request(name, url, success, start_time, duration,
response_code, http_method, properties,
measurements, request_id)
def track_dependency(self,
name: str,
data: str,
type: str = None,
target: str = None,
duration: int = None,
success: bool = None,
result_code: str = None,
properties: Dict[str, object] = None,
measurements: Dict[str, object] = None,
dependency_id: str = None):
"""
Sends a single dependency telemetry that was captured for the application.
:param name: the name of the command initiated with this dependency call. Low cardinality value. Examples are stored procedure name and URL path template.
:param data: the command initiated by this dependency call. Examples are SQL statement and HTTP URL with all query parameters.
:param type: the dependency type name. Low cardinality value for logical grouping of dependencies and interpretation of other fields like commandName and resultCode. Examples are SQL, Azure table, and HTTP. (default to: None)
:param target: the target site of a dependency call. Examples are server name, host address. (default to: None)
:param duration: the number of milliseconds that this dependency call lasted. (defaults to: None)
:param success: true if the dependency call ended in success, false otherwise. (defaults to: None)
:param result_code: the result code of a dependency call. Examples are SQL error code and HTTP status code. (defaults to: None)
:param properties: the set of custom properties the client wants attached to this data item. (defaults to: None)
:param measurements: the set of custom measurements the client wants to attach to this data item. (defaults to: None)
:param id: the id for this dependency call. If None, a new uuid will be generated. (defaults to: None)
"""
self._client.track_dependency(name, data, type, target, duration,
success, result_code, properties,
measurements, dependency_id)
def flush(self):
"""Flushes data in the queue. Data in the queue will be sent either immediately irrespective of what sender is
being used.
"""
self._client.flush()
def test_add_null_telemetry_processor(self):
client = TelemetryClient('foo')
self.assertRaises(TypeError,
lambda: client.add_telemetry_processor(None))
from applicationinsights import TelemetryClient
tc = TelemetryClient('<YOUR INSTRUMENTATION KEY GOES HERE>')
# flush telemetry every 30 seconds (assuming we don't hit max_queue_item_count first)
tc.channel.sender.send_interval_in_milliseconds = 30 * 1000
# flush telemetry if we have 10 or more telemetry items in our queue
tc.channel.queue.max_queue_length = 10
#Configuring TelemetryProcessor
from applicationinsights import TelemetryClient
def process(data, context):
data.properties["NEW_PROP"] = "MYPROP" # Add property
context.user.id = "MYID" # Change ID
return True # Not filtered
tc = TelemetryClient('<YOUR INSTRUMENTATION KEY GOES HERE>')
tc.add_telemetry_processor(process)
#Basic logging configuration (first option)
import logging
from applicationinsights.logging import enable
# set up logging
enable('<YOUR INSTRUMENTATION KEY GOES HERE>')
# log something (this will be sent to the Application Insights service as a trace)
logging.info('This is a message')
# logging shutdown will cause a flush of all un-sent telemetry items
logging.shutdown()
Basic logging configuration (second option)
def test_add_null_telemetry_processor(self):
client = TelemetryClient('foo')
self.assertRaises(TypeError, lambda:client.add_telemetry_processor(None))
