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One way to implement event logging for applications and libraries is using library python-logging. How can we use the logging library in our algorithms and how can we use function Log to do this following python-logging library format?
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self.Log, self.Debug and self.Error are the three methods built in QCAlgorithm to assist in sending/saving messages regarding the algorithms. With regards to using log following python-logging format, Log's only implementation is self.Log(_message_). This means that in order to determine event logging it would be easiest to add the event name in the message along with the actual message. Since LEAN takes out a lot of the complexity during algorithm building, these string messages should suffice for a majority of cases.
You can request new libraries to be added to QuantConnect, but they must be white listed first.
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The material on this website is provided for informational purposes only and does not constitute an offer to sell, a solicitation to buy, or a recommendation or endorsement for any security or strategy, nor does it constitute an offer to provide investment advisory services by QuantConnect. In addition, the material offers no opinion with respect to the suitability of any security or specific investment. QuantConnect makes no guarantees as to the accuracy or completeness of the views expressed in the website. The views are subject to change, and may have become unreliable for various reasons, including changes in market conditions or economic circumstances. All investments involve risk, including loss of principal. You should consult with an investment professional before making any investment decisions.
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