Outline of pingplotter idea

Non-working code, just an outline of how to plot the data,
deal with 95 percentile, outliers and lost packets.

test/pingplotter.lua

@@ -0,0 +1,38 @@
+-- Massage the data
+-- indicate packet loss with a small negative number
+-- and offset for each ip enough to show on a graph
+-- eliminate outliers above some percentile
+-- also show outliers - VERY IMPORTANT
+-- so like we could mark the outliers with their actual time
+-- clean up data on input - c = x, where rtt = null
+-- 95% confidence interval
+-- reserve one pixel below the graph for the dropped pings 
+-- for each 
+
+graphs
+
+create temp table graph_desc (
+   x_axis float,
+   y_axis float,
+);
+
+create temp table results inherit from some other table;
+
+function gen_max(table,field,id,interval)
+   c = sql.mono(sf("select count(*) as c from %s where id = '%s' and %s not null",table,id,field));
+   c = math:abs(c * interval)
+   return(sql.mono(sf("select max(b) from (select %s as b from %s where id = '%s' and %s is not null order by %s limit %d) as b",
+		      field, table, id, id, field, c)))
+end
+
+interval = .95
+max_y = 0
+for i,v in ids do
+   local y = gen_max("fping_raw","rtt",v,interval)
+   if y ~= nil and max_y > y then max_y = y end
+end
+max_x = sql.mono(sf("select max(c) from fping_raw where id in (%s)",sqlquote(ids)))
+
+-- show dropped pings on a fixed graph
+
+-- show outliers on a log scale