1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
|
/**
*
* This program is free software; you can redistribute it and/or modify it
* under the terms of the GNU General Public License as published by the Free
* Software Foundation; either version 2 of the License, or (at your option)
* any later version.
*
* This program is distributed in the hope that it will be useful, but WITHOUT
* ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or
* FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for
* more details.
* You should have received a copy of the GNU General Public License along
* with this program; if not, write to the Free Software Foundation, Inc.,
* 59 Temple Place - Suite 330, Boston, MA 02111-1307, USA
*
* Manuel Sanmartin <manuel.luis at gmail.com>
**/
"use strict";
/**
* RrdDataFile
* @constructor
*/
var RrdDataFile = function() {
this.init.apply(this, arguments);
};
RrdDataFile.prototype = {
rrdfiles: null,
init: function()
{
this.rrdfiles = {};
this.rrdfiles_fetching = {};
this.rrdfiles_wait = {};
},
build: function(gdp, ft_step, rrd)
{
var cal_start, cal_end;
var best_full_rra = -1, best_part_rra = -1, chosen_rra = 0;
var best_full_step_diff = Infinity, best_part_step_diff = Infinity;
var tmp_step_diff = 0, tmp_match = 0, best_match = -1;
var full_match;
var data_ptr;
var rows;
var rra;
var i, ii;
var last_update = rrd.getLastUpdate();
var cf_idx = gdp.cf;
var ds_cnt = rrd.getNrDSs();
var rra_cnt = rrd.getNrRRAs();
for (i = 0; i < ds_cnt; i++)
gdp.ds_namv[i] = rrd.rrd_header.getDSbyIdx(i).getName();
/* if the requested graph starts after the last available data point,
* return one big NaN instead of taking the finest (step=1) RRA */
if (gdp.start > last_update) {
ft_step = gdp.end - gdp.start;
gdp.ds_cnt = ds_cnt;
gdp.data = [];
for (ii = 0; ii < ds_cnt; ii++)
gdp.data[ii] = Number.NaN;
return ft_step;
}
for (i = 0; i < rra_cnt; i++) {
rra = rrd.getRRAInfo(i);
if (RrdGraphDesc.cf_conv(rra.getCFName()) === cf_idx) {
/* covered seconds in this RRA */
var range_secs = rra.getStep();
cal_end = last_update - (last_update % range_secs);
cal_start = cal_end - (range_secs * rra.row_cnt);
full_match = gdp.end - gdp.start;
tmp_step_diff = Math.abs(ft_step - range_secs);
if (cal_start <= gdp.start) {
if (tmp_step_diff < best_full_step_diff) {
best_full_step_diff = tmp_step_diff;
best_full_rra = i;
}
} else {
tmp_match = full_match;
if (cal_start > gdp.start) tmp_match -= (cal_start - gdp.start);
if (best_match < tmp_match || (best_match === tmp_match &&
tmp_step_diff < best_part_step_diff)) {
best_match = tmp_match;
best_part_step_diff = tmp_step_diff;
best_part_rra = i;
}
}
}
}
if (best_full_rra >= 0) chosen_rra = best_full_rra;
else if (best_part_rra >= 0) chosen_rra = best_part_rra;
else throw "the RRD does not contain an RRA matching the chosen CF";
var rra_info = rrd.getRRAInfo(chosen_rra);
rra = rrd.getRRA(chosen_rra);
ft_step = rra_info.getStep();
gdp.start -= (gdp.start % ft_step);
gdp.end += (ft_step - gdp.end % ft_step);
rows = (gdp.end - gdp.start) / ft_step + 1;
gdp.ds_cnt = ds_cnt;
data_ptr = 0;
var rra_end_time = (last_update - (last_update % ft_step));
var rra_start_time = (rra_end_time - (ft_step * (rra_info.row_cnt - 1)));
/* here's an error by one if we don't be careful */
var start_offset = (gdp.start + ft_step - rra_start_time) / ft_step;
var end_offset = (rra_end_time - gdp.end) / ft_step;
gdp.data = [];
for (i = start_offset; i < rra.row_cnt - end_offset; i++) {
if (i < 0) {
for (ii = 0; ii < ds_cnt; ii++)
gdp.data[data_ptr++] = Number.NaN;
} else if (i >= rra.row_cnt) {
for (ii = 0; ii < ds_cnt; ii++)
gdp.data[data_ptr++] = Number.NaN;
} else {
for(ii = 0; ii < ds_cnt; ii++)
gdp.data[data_ptr++] = rra.getEl(i, ii);
}
}
return ft_step;
},
fetch: function(gdp, ft_step)
{
var rrd;
if (gdp.rrd in this.rrdfiles) {
rrd = this.rrdfiles[gdp.rrd];
} else {
var bf = FetchBinaryURL(gdp.rrd);
rrd = new RRDFile(bf);
this.rrdfiles[gdp.rrd] = rrd;
}
return this.build(gdp, ft_step, rrd);
},
fetch_async_callback: function(bf, args)
{
var rrd;
rrd = new RRDFile(bf);
args.this.rrdfiles[args.gdp.rrd] = rrd;
args.callback(args.callback_arg, args.this.build(args.gdp, args.ft_step, rrd));
for(var vname in args.this.rrdfiles_wait)
{
var o_args = args.this.rrdfiles_wait[vname];
if (args.gdp.rrd == o_args.gdp.rrd)
{
delete args.this.rrdfiles_wait[vname];
o_args.callback(o_args.callback_arg, args.this.build(o_args.gdp, o_args.ft_step, rrd));
}
}
},
fetch_async: function(gdp, ft_step, callback, callback_arg)
{
if (gdp.rrd === null) return -1;
if (gdp.rrd in this.rrdfiles) {
callback(callback_arg, this.build(gdp, ft_step, this.rrdfiles[gdp.rrd]));
} else if (gdp.rrd in this.rrdfiles_fetching) {
this.rrdfiles_wait[gdp.vname] = { this:this, gdp: gdp, ft_step: ft_step, callback: callback, callback_arg: callback_arg };
if (gdp.rrd in this.rrdfiles)
{
delete this.rrdfiles_wait[gdp.vname];
callback(callback_arg, this.build(gdp, ft_step, this.rrdfiles[gdp.rrd]));
}
} else {
this.rrdfiles_fetching[gdp.rrd] = FetchBinaryURLAsync(gdp.rrd, this.fetch_async_callback, { this:this, gdp: gdp, ft_step: ft_step, callback: callback, callback_arg: callback_arg });
}
return 0;
}
};
|
