This repository has been forked from the 0 A.D. project. The intent is to use this as a base for a statistics collection system for SuperTuxKart.
Before proceeding, install the following packages using your favorite package manager:
- MySQL 5.5+
- python 3.3+
- python-virtualenv
- python-distutils-extra
- libmysqlclient-dev
- memcached
- gcc
- gfortran
- libatlas-base-dev
- libatlas3gf-base
- libfreetype6-dev
- libpng-dev
- libxft-dev
Several of the above packages are dependencies for python-matplotlib. This module
is difficult to install via pip, so you may want to create a virtualenv with
site-packages available to it.
From the repository root, run:
virtualenv -p /usr/bin/python3 venv
source venv/bin/activate
pip install -r requirements.txt
Copy userreport/settings_local.EXAMPLE.py to userreport/settings_local.py, and
edit the settings inside that file to match your environment.
Make sure you have created a database for yourself.
Run python manage.py syncdb to create your database.
To start the Django development server, run python manage.py runserver
This tool supports one report, called hwdetect. This report consists of the following
POST data:
- user_id: Unique ID of the user
- generation_date: Time report was generated, as a POSIX timestamp
- data_type: Name of the report - in this case,
hwdetect - data_version: Report version. OAD currently reports
11 - data: A json string with all parameters of the report. See below for an incomplete example.
{"os_unix":1,
"os_bsd":0,
"os_linux":1,
"os_android":0,
"os_macosx":0,
"os_win":0,
"arch_ia32":0,
"arch_amd64":1,
"arch_arm":0,
"build_debug":0,
"build_opengles":0,
"build_datetime":"Feb 18 2014 11:27:25",
"build_revision":"14386-release",
"build_msc":0,
"build_icc":0,
"build_gcc":408,
"build_clang":0,
"gfx_card":"Intel Open Source Technology Center Mesa DRI Intel(R) Haswell Mobile ",
"gfx_drv_ver":"OpenGL 3.0 Mesa 10.1.1",
"snd_card":"",
"snd_drv_ver":"",
"GL_VERSION":"3.0 Mesa 10.1.1",
"GL_VENDOR":"Intel Open Source Technology Center",
"GL_RENDERER":"Mesa DRI Intel(R) Haswell Mobile ",
"GL_EXTENSIONS":"GL_ARB_multisample GL_EXT_abgr ... GL_EXT_shader_integer_mix",
"GL_MAX_LIGHTS":8,
"GL_MAX_CLIP_PLANES":8,
"GL_MAX_MODELVIEW_STACK_DEPTH":32,
"GL_MAX_PROJECTION_STACK_DEPTH":32,
... more GL limits ...
"GL_SAMPLES_PASSED.GL_QUERY_COUNTER_BITS":64,
"GL_SHADING_LANGUAGE_VERSION_ARB":"1.30",
"GL_MAX_VERTEX_ATTRIBS_ARB":16,
"GL_MAX_VERTEX_UNIFORM_COMPONENTS_ARB":16384,
"GL_MAX_VARYING_FLOATS_ARB":128,
... and more GL limits ...
"GL_MAX_ARRAY_TEXTURE_LAYERS_EXT":2048,
"GL_FRAGMENT_PROGRAM_ARB.GL_MAX_PROGRAM_NATIVE_TEX_INDIRECTIONS_ARB":1024,
"GL_FRAGMENT_PROGRAM_ARB.GL_MAX_PROGRAM_NATIVE_TEMPORARIES_ARB":256,
"GL_FRAGMENT_PROGRAM_ARB.GL_MAX_PROGRAM_NATIVE_PARAMETERS_ARB":1024,
"GL_FRAGMENT_PROGRAM_ARB.GL_MAX_PROGRAM_NATIVE_ATTRIBS_ARB":12,
"glx_extensions":"GLX_ARB_create_context GLX_ARB_fbconfig_float GLX_ARB_framebuffer_sRGB GLX_ARB_get_proc_address GLX_ARB_multisample ... GLX_INTEL_swap_event ",
"GLX_RENDERER_VENDOR_ID_MESA":32902,
"GLX_RENDERER_DEVICE_ID_MESA":2582,
"GLX_RENDERER_VERSION_MESA[0]":10,
"GLX_RENDERER_VERSION_MESA[1]":1,
"GLX_RENDERER_VENDOR_ID_MESA.string":"Intel Open Source Technology Center",
"GLX_RENDERER_DEVICE_ID_MESA.string":"Mesa DRI Intel(R) Haswell Mobile ",
"video_xres":1024,
"video_yres":768,
"video_bpp":32,
"video_desktop_xres":3840,
"video_desktop_yres":1397,
"video_desktop_bpp":24,
"video_desktop_freq":0,
"uname_sysname":"Linux",
"uname_release":"3.14.1-1-ARCH",
"uname_version":"#1 SMP PREEMPT Mon Apr 14 20:40:47 CEST 2014",
"uname_machine":"x86_64",
"cpu_identifier":"Intel Core i7-4600U @ 2.10GHz",
"cpu_frequency":-1,
"cpu_pagesize":4096,
"cpu_largepagesize":0,
"cpu_numprocs":4,
"cpu_numpackages":1,
"cpu_coresperpackage":2,
"cpu_logicalpercore":2,
"cpu_numcaches":2,
...
"x86_icaches":[{"type":2,"level":1,"associativity":8,"linesize":64,"sharedby":2,"totalsize":32768},
{"type":3,"level":2,"associativity":8,"linesize":64,"sharedby":2,"totalsize":262144},
{"type":3,"level":3,"associativity":16,"linesize":64,"sharedby":16,"totalsize":4194304}],
"x86_dcaches":[{"type":1,"level":1,"associativity":8,"linesize":64,"sharedby":2,"totalsize":32768},
{"type":3,"level":2,"associativity":8,"linesize":64,"sharedby":2,"totalsize":262144},
{"type":3,"level":3,"associativity":16,"linesize":64,"sharedby":16,"totalsize":4194304}],
"x86_tlbs": [{"type":2,"level":1,"associativity":255,"pagesize":4194304,"entries":8},
{"type":1,"level":1,"associativity":4,"pagesize":4096,"entries":64},
{"type":1,"level":1,"associativity":4,"pagesize":1073741824,"entries":4},
{"type":2,"level":1,"associativity":4,"pagesize":4096,"entries":128},
{"type":3,"level":2,"associativity":8,"pagesize":4096,"entries":1024}],
"timer_resolution":1e-9}This stat collection program does not update reports immediately after receiving
system information from users. Instead, the maint_graphics.py script regenerates
the report data. This script should be run regularly by a cron job, but note that
it is a very expensive task.
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