annotate web/log.py @ 37:8da0fdadc8d7

- Getting there, update has problems
author Matt Johnston <matt@ucc.asn.au>
date Sat, 16 Jun 2012 09:08:07 +0800
parents 024f5571df8c
children 9b5b202129c3
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1 #:vim:et:ts=4:sts=4:sw=4:
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2 import rrdtool
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3 import os
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4 import os.path
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5 import sys
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6 import glob
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7 import hashlib
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8 import tempfile
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9 import time
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10 import syslog
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11 from colorsys import hls_to_rgb
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12
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13 import config
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14
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15 def sensor_rrd_path(s):
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16 return '%s/sensor_%s.rrd' % (config.DATA_PATH, s)
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17
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18 # returns (path, sensor_name) tuples
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19 def all_sensors():
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20 return [(r, os.path.basename(r[:-4]))
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21 for r in glob.glob('%s/*.rrd' % config.DATA_PATH)]
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22
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23 def create_rrd(sensor_id):
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24 rrdtool.create(sensor_rrd_path(sensor_id), '-s', '300',
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25 'DS:temp:GAUGE:600:-10:100',
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26 'RRA:AVERAGE:0.5:1:1051200')
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29 # stolen from viewmtn, stolen from monotone-viz
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30 def colour_from_string(str):
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31 def f(off):
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32 return ord(hashval[off]) / 256.0
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33 hashval = hashlib.sha1(str).digest()
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34 hue = f(5)
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35 li = f(1) * 0.15 + 0.55
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36 sat = f(2) * 0.5 + .5
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37 return ''.join(["%.2x" % int(x * 256) for x in hls_to_rgb(hue, li, sat)])
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38
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39 def graph_png(start, length):
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40 rrds = all_sensors()
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41
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42 graph_args = []
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43 for n, (rrdfile, sensor) in enumerate(rrds):
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44 vname = 'temp%d' % n
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45 graph_args.append('DEF:%(vname)s=%(rrdfile)s:temp:AVERAGE' % locals())
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46 width = config.LINE_WIDTH
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47 legend = config.SENSOR_NAMES.get(sensor, sensor)
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48 colour = config.SENSOR_COLOURS.get(legend, colour_from_string(sensor))
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49 graph_args.append('LINE%(width)f:%(vname)s#%(colour)s:%(legend)s' % locals())
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50
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51 tempf = tempfile.NamedTemporaryFile()
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52 args = [tempf.name, '-s', str(int(start)),
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53 '-e', str(int(start+length)),
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54 '-w', str(config.GRAPH_WIDTH),
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55 '-h', str(config.GRAPH_HEIGHT),
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56 '--slope-mode',
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57 '--border', '0',
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58 '--color', 'BACK#ffffff',
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59 '--imgformat', 'PNG'] \
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60 + graph_args
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61 if config.GRAPH_FONT:
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62 args += ['--font', 'DEFAULT:0:%s' % config.GRAPH_FONT]
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63 print>>sys.stderr, args
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64 rrdtool.graph(*args)
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65 return tempf.read()
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66
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67 def sensor_update(sensor_id, measurements, first_real_time, time_step):
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68 try:
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69 open(sensor_rrd_path(sensor_id))
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70 except IOError, e:
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71 create_rrd(sensor_id)
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72
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73 print>>sys.stderr, sensor_id, measurements, first_real_time, time_step
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74
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75 if measurements:
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76 values = ['%d:%f' % p for p in
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77 zip((first_real_time + time_step*t for t in xrange(len(measurements))),
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78 measurements)]
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79
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80 rrdfile = sensor_rrd_path(sensor_id)
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81 print>>sys.stderr, values
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82 rrdtool.update(rrdfile, *values)
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83
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84 # be paranoid
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85 f = file(rrdfile)
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86 os.fsync(f.fileno())
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87
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88 def record_debug(lines):
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89 f = open('%s/debug.log' % config.DATA_PATH, 'a+')
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90 f.write('===== %s =====\n' % time.strftime('%a, %d %b %Y %H:%M:%S'))
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91 f.writelines(('%s\n' % s for s in lines))
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92 f.flush()
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93 return f
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94
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95 def parse(lines):
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96
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97 debugf = record_debug(lines)
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98
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99 entries = dict(l.split('=', 1) for l in lines)
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100 if len(entries) != len(lines):
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101 raise Exception("Keys are not unique")
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102
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103 num_sensors = int(entries['sensors'])
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104 num_measurements = int(entries['measurements'])
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105
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106 sensors = [entries['sensor_id%d' % n] for n in xrange(num_sensors)]
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107
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108 meas = []
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109 for s in sensors:
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110 meas.append([])
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111
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112 def val_scale(v):
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113 # convert decidegrees to degrees
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114 return 0.1 * v
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115
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116 for n in xrange(num_measurements):
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117 vals = [val_scale(int(x)) for x in entries["meas%d" % n].strip().split()]
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118 if len(vals) != num_sensors:
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119 raise Exception("Wrong number of sensors for measurement %d" % n)
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120 # we make an array of values for each sensor
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121 for s in xrange(num_sensors):
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122 meas[s].append(vals[s])
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123
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124 avr_now = float(entries['now'])
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125 avr_first_time = float(entries['first_time'])
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126 time_step = float(entries['time_step'])
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127
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128 first_real_time = time.time() - (avr_now - avr_first_time)
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129
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130 for sensor_id, measurements in zip(sensors, meas):
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131 sensor_update(sensor_id, measurements, first_real_time, time_step)
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132
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133 debugf.write("Updated %d sensors\n" % len(sensors))
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134 debugf.flush()