I am trying to setup AI similar to how it is being done here
I am using Python 3.9.13 and following packages: opencensus==0.11.0, opencensus-ext-azure==1.1.7, opencensus-context==0.1.3
My code looks something like this:
import logging
import time
from opencensus.ext.azure.log_exporter import AzureLogHandler
# create the logger
app_insights_logger = logging.getLogger(__name__)
# set the handler
app_insights_logger.addHandler(AzureLogHandler(
connection_string='InstrumentationKey=00000000-0000-0000-0000-000000000000')
)
# set the logging level
app_insights_logger.setLevel(logging.INFO)
# this prints 'logging level = 20'
print('logging level = ',app_insights_logger.getEffectiveLevel())
# try to log an exception
try:
result = 1 / 0
except Exception:
app_insights_logger.exception('Captured a math exception.')
app_insights_logger.handlers[0].flush()
time.sleep(5)
However the exception does not get logged, I tried adding the explicit flush as mentioned in this post
Additionally, I tried adding the instrumentation key as mentioned in the docs, when that didn't work I tried with the entire connection string(the one with the ingestion key)
So,
- How can I debug if my app is indeed sending requests to Azure ?
- How can I check on the Azure portal if it is a permission issue ?
You can set the severity level before logging any kind of telemetry information to Application Insights.
I am using below code to log the telemetry information in Application Insights
Results
Warning and Information log
Error log in AI
We cannot debug the information whether the telemetry data send to Application Insights or not. But we can see the process like below
Instrumentation key and connection string has the permission to access the Application Insights resource.