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# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License.
from datetime import datetime
import unittest
from unittest import mock
from opentelemetry.sdk.metrics.export import HistogramDataPoint, NumberDataPoint
from azure.monitor.opentelemetry.exporter._quickpulse._constants import (
_COMMITTED_BYTES_NAME,
)
from azure.monitor.opentelemetry.exporter._quickpulse._generated.models import (
AggregationType,
DocumentType,
Exception,
MetricPoint,
MonitoringDataPoint,
RemoteDependency,
Request,
Trace,
)
from azure.monitor.opentelemetry.exporter._quickpulse._types import (
_DependencyData,
_ExceptionData,
_RequestData,
_TraceData,
)
from azure.monitor.opentelemetry.exporter._quickpulse._utils import (
_get_metrics_from_projections,
_get_span_document,
_get_log_record_document,
_filter_time_stamp_to_ms,
_metric_to_quick_pulse_data_points,
)
class TestUtils(unittest.TestCase):
@classmethod
def setUpClass(cls):
cls.base_mdp = MonitoringDataPoint(
version=1.0,
invariant_version=1,
instance="test_instance",
role_name="test_role_name",
machine_name="test_machine_name",
stream_id="test_stream_id",
is_web_app=False,
performance_collection_supported=True,
)
@mock.patch("azure.monitor.opentelemetry.exporter._quickpulse._utils.datetime")
def test_metric_to_qp_data_point_hist(self, datetime_mock):
point = HistogramDataPoint(
{},
0,
0,
2,
10,
[1, 1, 0],
[0, 10, 20],
0,
5,
)
metric = mock.Mock()
metric.name = _COMMITTED_BYTES_NAME[0]
metric.data.data_points = [point]
scope_metric = mock.Mock()
scope_metric.metrics = [metric]
resource_metric = mock.Mock()
resource_metric.scope_metrics = [scope_metric]
metric_data = mock.Mock()
metric_data.resource_metrics = [resource_metric]
metric_point = MetricPoint(name=_COMMITTED_BYTES_NAME[1], weight=1, value=5)
documents = [mock.Mock()]
date_now = datetime.now()
datetime_mock.now.return_value = date_now
mdp = _metric_to_quick_pulse_data_points(metric_data, self.base_mdp, documents)[0]
self.assertEqual(mdp.version, self.base_mdp.version)
self.assertEqual(mdp.instance, self.base_mdp.instance)
self.assertEqual(mdp.role_name, self.base_mdp.role_name)
self.assertEqual(mdp.machine_name, self.base_mdp.machine_name)
self.assertEqual(mdp.stream_id, self.base_mdp.stream_id)
self.assertEqual(mdp.timestamp, date_now)
self.assertEqual(mdp.metrics, [metric_point])
self.assertEqual(mdp.documents, documents)
@mock.patch("azure.monitor.opentelemetry.exporter._quickpulse._utils.datetime")
def test_metric_to_qp_data_point_num(self, datetime_mock):
point = NumberDataPoint(
{},
0,
0,
7,
)
metric = mock.Mock()
metric.name = _COMMITTED_BYTES_NAME[0]
metric.data.data_points = [point]
scope_metric = mock.Mock()
scope_metric.metrics = [metric]
resource_metric = mock.Mock()
resource_metric.scope_metrics = [scope_metric]
metric_data = mock.Mock()
metric_data.resource_metrics = [resource_metric]
metric_point = MetricPoint(name=_COMMITTED_BYTES_NAME[1], weight=1, value=7)
documents = [mock.Mock()]
date_now = datetime.now()
datetime_mock.now.return_value = date_now
mdp = _metric_to_quick_pulse_data_points(metric_data, self.base_mdp, documents)[0]
self.assertEqual(mdp.version, self.base_mdp.version)
self.assertEqual(mdp.instance, self.base_mdp.instance)
self.assertEqual(mdp.role_name, self.base_mdp.role_name)
self.assertEqual(mdp.machine_name, self.base_mdp.machine_name)
self.assertEqual(mdp.stream_id, self.base_mdp.stream_id)
self.assertEqual(mdp.timestamp, date_now)
self.assertEqual(mdp.metrics, [metric_point])
self.assertEqual(mdp.documents, documents)
@mock.patch("azure.monitor.opentelemetry.exporter._quickpulse._utils._get_metrics_from_projections")
def test_metric_to_qp_data_point_process_filtered_metrics(self, projection_mock):
metric_data = mock.Mock()
metric_data.resource_metrics = []
projections = [("ID:1234", 5.0)]
projection_mock.return_value = projections
mdp = _metric_to_quick_pulse_data_points(metric_data, self.base_mdp, [])[0]
self.assertEqual(mdp.metrics[0].name, "ID:1234")
self.assertEqual(mdp.metrics[0].value, 5.0)
@mock.patch("azure.monitor.opentelemetry.exporter._quickpulse._utils._ms_to_iso8601_string")
def test_get_span_document_client(self, iso_mock):
data = _DependencyData(
custom_dimensions={},
duration=1000,
name="test_dep",
result_code=200,
target="target",
type="test_type",
data="test_data",
success=True,
)
iso_mock.return_value = "1000"
doc = _get_span_document(data)
self.assertTrue(isinstance(doc, RemoteDependency))
self.assertEqual(doc.document_type, DocumentType.REMOTE_DEPENDENCY)
self.assertEqual(doc.name, "test_dep")
self.assertEqual(doc.command_name, "test_data")
self.assertEqual(doc.result_code, "200")
self.assertEqual(doc.duration, "1000")
@mock.patch("azure.monitor.opentelemetry.exporter._quickpulse._utils._ms_to_iso8601_string")
def test_get_span_document_server(self, iso_mock):
data = _RequestData(
custom_dimensions={},
duration=1000,
success=True,
name="test_req",
response_code=400,
url="test_url",
)
iso_mock.return_value = "1000"
doc = _get_span_document(data)
self.assertTrue(isinstance(doc, Request))
self.assertEqual(doc.document_type, DocumentType.REQUEST)
self.assertEqual(doc.name, "test_req")
self.assertEqual(doc.url, "test_url")
self.assertEqual(doc.response_code, "400")
self.assertEqual(doc.duration, "1000")
def test_get_log_record_document_exc(self):
data = _ExceptionData(
message="exc_message",
stack_trace="",
custom_dimensions={},
)
doc = _get_log_record_document(data, exc_type="exc_type")
self.assertTrue(isinstance(doc, Exception))
self.assertEqual(doc.document_type, DocumentType.EXCEPTION)
self.assertEqual(doc.exception_type, "exc_type")
self.assertEqual(doc.exception_message, "exc_message")
def test_get_log_record_document_trace(self):
data = _TraceData(
message="body",
custom_dimensions={},
)
doc = _get_log_record_document(data)
self.assertTrue(isinstance(doc, Trace))
self.assertEqual(doc.document_type, DocumentType.TRACE)
self.assertEqual(doc.message, "body")
@mock.patch("azure.monitor.opentelemetry.exporter._quickpulse._utils._get_quickpulse_projection_map")
def test_get_metrics_from_projections(self, projection_map_mock):
projection_map_mock.return_value = {
"test-id": (AggregationType.MIN, 3.0, 3),
"test-id2": (AggregationType.MAX, 5.0, 4),
"test-id3": (AggregationType.SUM, 2.0, 2),
"test-id4": (AggregationType.AVG, 12.0, 3),
}
metric_tuples = _get_metrics_from_projections()
self.assertEqual(
metric_tuples,
[
("test-id", 3.0),
("test-id2", 5.0),
("test-id3", 2.0),
("test-id4", 4.0),
],
)
def test_valid_time_stamp_with_decimal_seconds(self):
time_stamp = "14.6:56:7.89"
expected_ms = 1234567890 # Expected milliseconds
self.assertEqual(_filter_time_stamp_to_ms(time_stamp), expected_ms)
def test_valid_time_stamp_with_whole_seconds(self):
time_stamp = "0.0:0:0.2"
expected_ms = 200 # Expected milliseconds
self.assertEqual(_filter_time_stamp_to_ms(time_stamp), expected_ms)
def test_valid_time_stamp_with_no_days(self):
time_stamp = "0.5:30:15.5"
expected_ms = 19815500 # 0 days, 5 hours, 30 minutes, 15.5 seconds
self.assertEqual(_filter_time_stamp_to_ms(time_stamp), expected_ms)
def test_valid_time_stamp_with_large_days(self):
time_stamp = "100.0:0:0"
expected_ms = 8640000000 # 100 days
self.assertEqual(_filter_time_stamp_to_ms(time_stamp), expected_ms)
def test_invalid_time_stamp(self):
time_stamp = "invalid_format"
self.assertIsNone(_filter_time_stamp_to_ms(time_stamp))
def test_time_stamp_missing_seconds(self):
time_stamp = "1.0:0:"
self.assertIsNone(_filter_time_stamp_to_ms(time_stamp))
def test_time_stamp_empty_string(self):
time_stamp = ""
self.assertIsNone(_filter_time_stamp_to_ms(time_stamp))
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