# qqxx6661/log-record

使用注解优雅记录系统日志，操作日志，后端埋点等，支持SpEL表达式，自定义上下文，自定义函数，实体类DIFF等其他高阶处理。Elegantly record system logs, operation logs, backend tracking events, and more using annotations, with support for SpEL expressions, custom contexts, custom functions, entity diffs, and other advanced features.

Repository: https://github.com/qqxx6661/log-record
Canonical: https://ross.abutalabs.com/products/log-record
Language: Java
License: Apache-2.0
License Family: permissive
Topics: java, logging
Last push: 2026-09-02T16:12:11+00:00

## Health v2 (maintenance only)
Score: 68/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 100, release rhythm 8, longevity 100
- inputs: {"age_days": 1761, "days_push": 0, "days_rel": 403, "gap_med": null, "n_releases_24m": 1}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1060, forks 195 (observed 2026-09-03T02:15:17.186022+00:00)

## What it is
A Java Spring Boot starter library that records operation/audit logs declaratively via a single @OperationLog annotation, without invading business code. It supports SpEL expressions, custom contexts and functions, entity diffing, and can push logs to user-defined handlers or message queues.

## Use cases
- record operation logs with annotations in spring boot
- audit user actions without polluting business code
- log entity field changes as diffs
- push business logs to a message queue
- build dynamic log messages with SpEL expressions
- add backend tracking points for user actions

## When to avoid
- you need general-purpose application logging (use Logback/Log4j)
- your project is not on the JVM/Spring stack
- you need frontend or client-side analytics tracking

## Facets
- artifact type: library
- maturity: active
- function: logging, middleware, message-queue
- domain: backend, developer-tools, monitoring
- platform: jvm
- tags: spring-boot-starter, operation-log, audit-log, spel, annotations, aspect-oriented, spring

## Member repositories
- qqxx6661/log-record (main) score 68

## Provenance
- Observed fields: from GitHub, fetched 2026-09-03T02:15:17.186022+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T06:57:03.509306+00:00, confidence not recorded.
  - readme: https://github.com/qqxx6661/log-record (fetched 2026-09-03T02:15:17.186022+00:00, sha ed67d42decb5)
- Data as of 2026-08-30T08:39:29.467469+00:00.