fp-go Logging

Log intermediate values and errors in Go functional pipelines with slog.

2.0k|81|Updated Jul 5, 2023
One-click install
npx skills add https://github.com/IBM/fp-go --skill fp-go-logging
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: fp-go Logging
Source: https://github.com/IBM/fp-go/tree/main/skills/fp-go-logging
Command: npx skills add https://github.com/IBM/fp-go --skill fp-go-logging

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill provides robust logging capabilities that integrate seamlessly with functional programming pipelines in Go, ensuring that side effects like logging do not disrupt the flow of data.

Core Features & Use Cases

  • Side-Effect Isolation: Logs are treated as side effects and do not alter the processed value.
  • Monadic Integration: Utilizes ChainFirst-style combinators for logging within IO, IOEither, ReaderIOResult, etc.
  • Structured Logging: Supports slog for context-aware, structured logging with correlation IDs and timing.
  • Use Case: Debugging a complex data processing pipeline by logging intermediate results and errors at various stages without altering the final output.

Quick Start

Use the fp-go Logging skill to log the validated user data within a ReaderIOResult pipeline.

Frequently Asked Questions about fp-go Logging

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I log intermediate values in a Go functional pipeline without side effects?

To log intermediate values in a Go functional pipeline without side effects, use ChainFirst-style combinators that treat logging as an isolated side effect, ensuring logs do not alter the processed value or disrupt data flow.

Does fp-go logging support structured logging with correlation IDs?

Yes, fp-go logging supports structured logging using slog, enabling context-aware features like correlation IDs and entry/exit timing to trace complex data processing pipelines effectively.

Can I integrate logging directly into IO and ReaderIOResult monads in Go?

You can integrate logging directly into IO and ReaderIOResult monads using fp-go logging utilities, which provide monadic integration to capture errors and intermediate results without breaking the pipeline's functional flow.

What is the best way to debug a Go data processing pipeline using functional programming?

The best way to debug a Go data processing pipeline is by logging intermediate results and errors at various stages using monadic combinators, allowing you to inspect values without modifying the final output.

Does fp-go logging support printf-style or Go template logging formats?

Yes, fp-go logging supports multiple formats including printf-style, Go template, and structured logging via slog, giving you flexibility in how you format and output pipeline logs.