stacktrack.github.io

Introduction

See http://stacktrack.github.io

Quick Start

Clone repository

git clone [email protected]:stacktrack/stacktrack.github.com.git
cd stacktrack.github.com

Load database

mysql stacktrack < database/stacktrack.sql

Generate a graph

python src/Graph.py tun_get_user -r -e

Usage

usage: Graph.py [-h] [-v VERBOSE] [-r] [-e] [-a] [-d DIRECTORY]
                [nodes [nodes ...]]

positional arguments:
  nodes

optional arguments:
  -h, --help            show this help message and exit
  -v VERBOSE, --verbose VERBOSE
                        Logging level (10: debug, 20 : info, etc )
  -r, --callers         Export caller tree
  -e, --callees         Export caller tree
  -a, --allnodes        Dump all nodes
  -d DIRECTORY, --directory DIRECTORY
                        Output directory

Content Description

This repository contains following items:

• The root folder contains all the files used to render the web interface on http://stacktrack.github.io

• The src directory contains the source code used to create the json graphs

• The database directory contains a dump of the xref database

• The json directory contains some rendered graphs and traces

Setup

In order to create your own graphs you need the following setup:

• Linux server with virsh, gdb, samba, mysql
• Guest vm with a kernel compiled with debug symbols (I used the "kernel-config" .config)
• The database needs to be loaded and Graph.py must be able to create graphs