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MindSphere SDK for Python Logging

Introduction

Logging of the MindSphere SDK for Python is implemented using the logging module by Python, which can be configured to different log levels and a custom logging format.

Usage

The default log level is INFO. Configure the logging using the log_config module in mindsphere_core. It contains a method called setup_logging which allows users to configure log levels and log formats.

Setting the Log Level

# Import log_config from mindsphere_core
import log_config from mindsphere_core

# Setting Log Level to DEBUG
logger = log_config.setup_logging(level=logging.DEBUG)

The following log level are supported:

  • CRITICAL
  • ERROR
  • WARNING
  • INFO
  • DEBUG
  • NOTSET

Setting Log Format

Configure the log format to log only the message or the message with time:

# Import log_config from mindsphere_core
import log_config from mindsphere_core

# Display Logs in the format : Log Message 
logger = log_config.setup_logging(format="%(message)s")

# Display Logs in the format : Time - Classname - Log Level - Log Message 
logger = log_config.setup_logging(format="%(asctime)s - %(name)20s - %(levelname)6s - %(message)s")

# Display Logs in the format : name: <Classname>, level - <Log Level>, time: <time>, message: <Log Message> 
logger = log_config.setup_logging(format="name: %(name)s, level: %(levelname)s, time: %(asctime)s, message: %(message)s")

Disable Logging

Set the log level to NOTSET to disable logging:

# Import log_config from mindsphere_core
import log_config from mindsphere_core

# To disable logging, set the Log Level to NOTSET
logger = log_config.setup_logging(level=logging.NOTSET)

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Last update: July 16, 2019