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# -------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See LICENSE.txt in the project root for
# license information.
# -------------------------------------------------------------------------
from datetime import timedelta, datetime
import pytest
from azure.identity import ClientSecretCredential
from azure.core.exceptions import HttpResponseError
from azure.monitor.query import LogsQueryClient, LogsBatchQuery, LogsQueryError, LogsQueryResult, LogsQueryPartialResult
from devtools_testutils import AzureRecordedTestCase
class TestQueryExceptions(AzureRecordedTestCase):
def test_logs_single_query_fatal_exception(self, recorded_test):
client = self.create_client_from_credential(LogsQueryClient, self.get_credential(LogsQueryClient))
with pytest.raises(HttpResponseError):
client.query_workspace('bad_workspace_id', 'AppRequests', timespan=None)
def test_logs_single_query_partial_exception(self, recorded_test, monitor_info):
client = self.create_client_from_credential(LogsQueryClient, self.get_credential(LogsQueryClient))
query = """let Weight = 92233720368547758;
range x from 1 to 3 step 1
| summarize percentilesw(x, Weight * 100, 50)"""
response = client.query_workspace(monitor_info['workspace_id'], query, timespan=timedelta(days=1))
assert response.__class__ == LogsQueryPartialResult
assert response.partial_error is not None
assert response.partial_data is not None
assert response.partial_error.details is not None
assert response.partial_error.code == 'PartialError'
assert response.partial_error.__class__ == LogsQueryError
def test_logs_batch_query_fatal_exception(self, recorded_test, monitor_info):
credential = ClientSecretCredential(
client_id = monitor_info['client_id'],
client_secret = 'bad_secret',
tenant_id = monitor_info['tenant_id']
)
client = LogsQueryClient(credential)
requests = [
LogsBatchQuery(
query="AzureActivity | summarize count()",
timespan=timedelta(hours=1),
workspace_id=monitor_info['workspace_id']
),
LogsBatchQuery(
query= """AppRequestsss | take 10""",
timespan=(datetime(2021, 6, 2), timedelta(days=1)),
workspace_id=monitor_info['workspace_id']
),
LogsBatchQuery(
query= """let Weight = 92233720368547758;
range x from 1 to 3 step 1
| summarize percentilesw(x, Weight * 100, 50)""",
workspace_id=monitor_info['workspace_id'],
timespan=(datetime(2021, 6, 2), datetime(2021, 6, 3)),
include_statistics=True
),
]
with pytest.raises(HttpResponseError):
responses = client.query_batch(requests)
@pytest.mark.live_test_only("Issues recording dynamic 'id' values in requests/responses")
def test_logs_batch_query_partial_exception(self, monitor_info):
client = self.create_client_from_credential(LogsQueryClient, self.get_credential(LogsQueryClient))
requests = [
LogsBatchQuery(
query="AzureActivity | summarize count()",
timespan=timedelta(hours=1),
workspace_id=monitor_info['workspace_id']
),
LogsBatchQuery(
query= """AppRequests | take 10""",
timespan=(datetime(2021, 6, 2), timedelta(days=1)),
workspace_id=monitor_info['workspace_id']
),
LogsBatchQuery(
query= """let Weight = 92233720368547758;
range x from 1 to 3 step 1
| summarize percentilesw(x, Weight * 100, 50)""",
workspace_id=monitor_info['workspace_id'],
timespan=(datetime(2021, 6, 2), datetime(2021, 6, 3)),
include_statistics=True
),
]
responses = client.query_batch(requests)
r1, r2, r3 = responses[0], responses[1], responses[2]
assert r1.__class__ == LogsQueryResult
assert r2.__class__ == LogsQueryResult
assert r3.__class__ == LogsQueryPartialResult
@pytest.mark.live_test_only("Issues recording dynamic 'id' values in requests/responses")
def test_logs_batch_query_non_fatal_exception(self, monitor_info):
client = self.create_client_from_credential(LogsQueryClient, self.get_credential(LogsQueryClient))
requests = [
LogsBatchQuery(
query="AzureActivity | summarize count()",
timespan=timedelta(hours=1),
workspace_id=monitor_info['workspace_id']
),
LogsBatchQuery(
query= """AppRequests | take 10""",
timespan=(datetime(2021, 6, 2), timedelta(days=1)),
workspace_id=monitor_info['workspace_id']
),
LogsBatchQuery(
query= """Bad Query""",
workspace_id=monitor_info['workspace_id'],
timespan=(datetime(2021, 6, 2), datetime(2021, 6, 3)),
include_statistics=True
),
]
responses = client.query_batch(requests)
r1, r2, r3 = responses[0], responses[1], responses[2]
assert r1.__class__ == LogsQueryResult
assert r2.__class__ == LogsQueryResult
assert r3.__class__ == LogsQueryError
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