From: Florian Eckert Date: Thu, 7 Mar 2019 09:26:12 +0000 (+0100) Subject: luci-app-statistics: Diskfree graph show also percent view X-Git-Url: https://git.librecmc.org/?a=commitdiff_plain;h=42a060a85255ac7e4ee33f5c16d3434c12a8f8fb;p=oweals%2Fluci.git luci-app-statistics: Diskfree graph show also percent view The Diskfree (df) plugin could also collect the values in percent if the option "ValuesPercentage" is set in the collectd configuration. This commit will check if "df_complex" / "percent_bytes" or both are collected by collectd and so will show the corrsponding graph. Signed-off-by: Florian Eckert --- diff --git a/applications/luci-app-statistics/luasrc/statistics/rrdtool/definitions/df.lua b/applications/luci-app-statistics/luasrc/statistics/rrdtool/definitions/df.lua index b5633c15f..7a69e85ee 100644 --- a/applications/luci-app-statistics/luasrc/statistics/rrdtool/definitions/df.lua +++ b/applications/luci-app-statistics/luasrc/statistics/rrdtool/definitions/df.lua @@ -5,7 +5,7 @@ module("luci.statistics.rrdtool.definitions.df", package.seeall) function rrdargs( graph, plugin, plugin_instance, dtype ) - return { + local df_complex = { title = "%H: Disk space usage on %pi", vlabel = "Bytes", number_format = "%5.1lf%sB", @@ -36,4 +36,51 @@ function rrdargs( graph, plugin, plugin_instance, dtype ) } } } + + local percent_bytes = { + title = "%H: Disk space usage on %pi", + vlabel = "Percent", + number_format = "%5.2lf %%", + + data = { + instances = { + percent_bytes = { "free", "used", "reserved" } + }, + + options = { + percent_bytes_free = { + color = "00ff00", + overlay = false, + title = "free" + }, + + percent_bytes_used = { + color = "ff0000", + overlay = false, + title = "used" + }, + + percent_bytes_reserved = { + color = "0000ff", + overlay = false, + title = "reserved" + } + } + } + } + + local types = graph.tree:data_types( plugin, plugin_instance ) + + local p = {} + for _, t in ipairs(types) do + if t == "percent_bytes" then + p[#p+1] = percent_bytes + end + + if t == "df_complex" then + p[#p+1] = df_complex + end + end + + return p end