Quantpylib Logging Stack
Based on the latest commit:
https://github.com/hangukquant/quantpylib/commit/9c939c0dbaefc1e15b4087684b54ae6525d42462
and more, quantpylib now features the module quantpylib.logger - package featuring custom formatters and handlers - right now, it contains a custom json formatter and a buffered file handler for logging.
I also added docker config files so that any module using quantpylib can do log ingestion and do log analysis on the grafana stack, using grafana,loki and promtail services. The logger itself is separate from the grafana-stack, and is an isolated service.
Of course, this might sound abstract - first - we will round up the functionalities, documentations will follow, and so will examples - and maybe even tutorials/lectures.
With this logging library, one should be able to run trading apps and systems of high complexity with real-time monitoring, one of the key components in deploying trading systems.
This has tremendous implications for the utility of quantpylib, and continues to shape it into a powerful resource for Python quants.
Cheers~
The quantpylib repo is meant for annual subscribers of HangukQuant - get access here:
