markzhai/AndroidPerformanceMonitor

need offline log analyzer

Open

#11 opened on Jan 20, 2016

View on GitHub
 (1 comment) (0 reactions) (0 assignees)Java (6,609 stars) (1,028 forks)batch import
enhancementhelp wanted

Description

Analyze log files and output to readable format.

For analyze, I consider:

  1. parse stacktrace
  2. rank
  3. category

Any language can be fine, as it's done offline on pc or server.

Contributor guide

Tech stack
java
Domain
toolingdata
Issue type
feature
DifficultyEstimated implementation difficulty for a new contributor, from 1 for very small changes to 5 for expert-level work.
4
Estimated timeA rough time range for an experienced contributor to investigate, implement, test, and prepare a pull request.
1-2 days
Activity statusHow available the issue appears right now: fresh, active, stale, blocked, or waiting on maintainer input.
stale
ClarityHow clearly the issue explains the expected change, acceptance criteria, and next step.
unclear
Prerequisites
Understanding of log file formatsBasic knowledge of parsing techniques
Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.
30
Research direction
This issue is a feature request for an offline log analyzer. The repository is AndroidPerformanceMonitor (BlockCanary), which is a UI block detection library for Android written in Java. The request is vague and lacks specific acceptance criteria. A first step would be to review the existing codebase to understand how logs are generated and if there's any existing log parsing. The developer should propose a design for parsing stack traces, ranking errors, and categorizing them. Since the repo is old and inactive, the contributor may need to consider creating a standalone tool. The issue has been open since 2016 with only one comment, indicating stalled development.