Logging and Monitoring
The balena-prometheus-exporter
utilizes basic logging to track API calls, errors, and performance metrics. The logging functionality is implemented using Python’s built-in print
function, allowing for simple and straightforward logging output.
Basic Logging
The exporter uses the print
function to log various information, such as:
- Missing environment variables: If the required
BALENA_TOKEN
environment variable is not set, the script prints an error message and exits.if not BALENA_TOKEN: print("Please set the BALENA_TOKEN environment variable") sys.exit(1)
- API errors: If an API call fails, the script prints the error message returned by the API.
if not response.ok: print("Error: {}".format(response.text)) sys.exit(1)
Example Usage
To view the logging output, you can run the exporter in a container with the -d
flag, which detaches the container from the terminal and runs it in the background.
$ docker run -d \
--name balena-exporter \
-p 8000:8000 \
-e BALENA_TOKEN= \
balena-exporter
The logging output will be displayed in the container’s logs, which can be accessed using the docker logs
command:
$ docker logs balena-exporter
Future Enhancements
For more robust logging and monitoring, consider using a dedicated logging library like logging
and incorporating metrics reporting through libraries like prometheus-client
. This would allow for better control over log levels, formatting, and routing, as well as the ability to expose metrics in a Prometheus-compatible format.