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# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License.
"""
FILE: sample_resource_logs_query.py
DESCRIPTION:
This sample demonstrates authenticating the LogsQueryClient and querying the logs
of a specific resource. Update the `query` variable with a query that corresponds to
your resource.
USAGE:
python sample_resource_logs_query.py
Set the environment variables with your own values before running the sample:
1) LOGS_RESOURCE_ID - The resource ID. Example: `/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/{resourceProviderNamespace}/{resourceType}/{resourceName}`
This example uses DefaultAzureCredential, which requests a token from Azure Active Directory.
For more information on DefaultAzureCredential, see https://learn.microsoft.com/python/api/overview/azure/identity-readme?view=azure-python#defaultazurecredential.
**Note** - Although this example uses pandas to print the response, it's optional and
isn't a required package for querying. Alternatively, native Python can be used as well.
"""
# [START resource_logs_query]
from datetime import timedelta
import os
from azure.core.exceptions import HttpResponseError
from azure.identity import DefaultAzureCredential
from azure.monitor.query import LogsQueryClient, LogsQueryStatus
import pandas as pd
credential = DefaultAzureCredential()
client = LogsQueryClient(credential)
query = "AzureActivity | take 5"
try:
response = client.query_resource(os.environ["LOGS_RESOURCE_ID"], query, timespan=timedelta(days=1))
if response.status == LogsQueryStatus.SUCCESS:
data = response.tables
else:
# LogsQueryPartialResult - handle error here
error = response.partial_error
data = response.partial_data
print(error)
for table in data:
df = pd.DataFrame(data=table.rows, columns=table.columns)
print(df)
except HttpResponseError as err:
print("something fatal happened")
print(err)
# [END resource_logs_query]
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