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Logger System

The Logger system provides logging functionality for debugging and monitoring flow execution.

Overview​

Logger functions allow you to output messages at different severity levels. These messages appear in the execution history and can help you debug issues or track flow progress.

Log Levels​

  • Info: General informational messages
  • Warn: Warning messages for potential issues
  • Error: Error messages for failures
  • Debug: Detailed debugging information

Available Functions​

Common Use Cases​

Progress Tracking​

Logger.info("Starting data processing...")
-- ... processing code ...
Logger.info("Data processing complete")

Error Handling​

local success, result = pcall(someFunction)
if not success then
    Logger.error("Failed to process data: " .. tostring(result))
end

Debugging​

Logger.debug("Current state: " .. SessionState.get("currentStep"))
Logger.debug("Input value: " .. inputs.value)

Warnings​

if tonumber(inputs.count) > 1000 then
    Logger.warn("Large count detected: " .. inputs.count)
end

Best Practices​

  1. Use Appropriate Levels: Use info for normal flow, warn for potential issues, error for failures
  2. Include Context: Add relevant information to log messages
  3. Don't Over-Log: Avoid logging in tight loops or high-frequency operations
  4. Use Debug Sparingly: Debug logs are verbose - use them when troubleshooting