Mercurial > templog
annotate web/log.py @ 353:20f7161399a8
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author | Matt Johnston <matt@ucc.asn.au> |
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date | Sun, 24 Jun 2012 10:36:12 +0800 |
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1 #:vim:et:ts=4:sts=4:sw=4: |
333 | 2 import rrdtool |
3 import os | |
335 | 4 import os.path |
333 | 5 import sys |
335 | 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 |
349 | 11 import sqlite3 |
335 | 12 from colorsys import hls_to_rgb |
333 | 13 |
334 | 14 import config |
333 | 15 |
16 def sensor_rrd_path(s): | |
334 | 17 return '%s/sensor_%s.rrd' % (config.DATA_PATH, s) |
333 | 18 |
335 | 19 # returns (path, sensor_name) tuples |
20 def all_sensors(): | |
21 return [(r, os.path.basename(r[:-4])) | |
22 for r in glob.glob('%s/*.rrd' % config.DATA_PATH)] | |
23 | |
333 | 24 def create_rrd(sensor_id): |
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25 # start date of 10 seconds into 1970 is used so that we can |
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26 # update with prior values straight away. |
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27 args = [sensor_rrd_path(sensor_id), |
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28 '--start', '10', |
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29 '--step', '300', |
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30 'DS:temp:GAUGE:600:-10:100', |
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31 'RRA:AVERAGE:0.5:1:1051200'] |
333 | 32 |
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33 rrdtool.create(*args) |
335 | 34 |
35 # stolen from viewmtn, stolen from monotone-viz | |
36 def colour_from_string(str): | |
37 def f(off): | |
38 return ord(hashval[off]) / 256.0 | |
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39 hashval = hashlib.sha1(str).digest() |
335 | 40 hue = f(5) |
41 li = f(1) * 0.15 + 0.55 | |
42 sat = f(2) * 0.5 + .5 | |
43 return ''.join(["%.2x" % int(x * 256) for x in hls_to_rgb(hue, li, sat)]) | |
44 | |
45 def graph_png(start, length): | |
46 rrds = all_sensors() | |
47 | |
48 graph_args = [] | |
49 for n, (rrdfile, sensor) in enumerate(rrds): | |
50 vname = 'temp%d' % n | |
51 graph_args.append('DEF:%(vname)s=%(rrdfile)s:temp:AVERAGE' % locals()) | |
52 width = config.LINE_WIDTH | |
53 legend = config.SENSOR_NAMES.get(sensor, sensor) | |
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54 colour = config.SENSOR_COLOURS.get(legend, colour_from_string(sensor)) |
335 | 55 graph_args.append('LINE%(width)f:%(vname)s#%(colour)s:%(legend)s' % locals()) |
56 | |
57 tempf = tempfile.NamedTemporaryFile() | |
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58 args = [tempf.name, '-s', str(int(start)), |
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59 '-e', str(int(start+length)), |
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60 '-w', str(config.GRAPH_WIDTH), |
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61 '-h', str(config.GRAPH_HEIGHT), |
335 | 62 '--slope-mode', |
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63 '--border', '0', |
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64 '--color', 'BACK#ffffff', |
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65 '--alt-y-grid', |
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66 '--imgformat', 'PNG'] \ |
335 | 67 + graph_args |
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68 if config.GRAPH_FONT: |
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69 args += ['--font', 'DEFAULT:0:%s' % config.GRAPH_FONT] |
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70 print>>sys.stderr, args |
335 | 71 rrdtool.graph(*args) |
72 return tempf.read() | |
73 | |
333 | 74 def sensor_update(sensor_id, measurements, first_real_time, time_step): |
75 try: | |
76 open(sensor_rrd_path(sensor_id)) | |
77 except IOError, e: | |
78 create_rrd(sensor_id) | |
79 | |
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80 print>>sys.stderr, sensor_id, measurements, first_real_time, time_step |
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81 |
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82 if measurements: |
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83 values = ['%d:%f' % p for p in |
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84 zip((first_real_time + time_step*t for t in xrange(len(measurements))), |
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85 measurements)] |
333 | 86 |
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87 rrdfile = sensor_rrd_path(sensor_id) |
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88 print>>sys.stderr, values |
346 | 89 # XXX what to do here when it fails... |
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90 rrdtool.update(rrdfile, *values) |
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91 |
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92 # be paranoid |
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93 f = file(rrdfile) |
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94 os.fsync(f.fileno()) |
333 | 95 |
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96 def record_debug(lines): |
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97 f = open('%s/debug.log' % config.DATA_PATH, 'a+') |
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98 f.write('===== %s =====\n' % time.strftime('%a, %d %b %Y %H:%M:%S')) |
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99 f.writelines(('%s\n' % s for s in lines)) |
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100 f.flush() |
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101 return f |
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102 |
333 | 103 def parse(lines): |
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104 |
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105 debugf = record_debug(lines) |
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106 |
333 | 107 entries = dict(l.split('=', 1) for l in lines) |
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108 if len(entries) != len(lines): |
333 | 109 raise Exception("Keys are not unique") |
110 | |
111 num_sensors = int(entries['sensors']) | |
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112 num_measurements = int(entries['measurements']) |
333 | 113 |
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114 sensors = [entries['sensor_id%d' % n] for n in xrange(num_sensors)] |
333 | 115 |
116 meas = [] | |
117 for s in sensors: | |
118 meas.append([]) | |
119 | |
334 | 120 def val_scale(v): |
121 # convert decidegrees to degrees | |
122 return 0.1 * v | |
123 | |
333 | 124 for n in xrange(num_measurements): |
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125 vals = [val_scale(int(x)) for x in entries["meas%d" % n].strip().split()] |
333 | 126 if len(vals) != num_sensors: |
127 raise Exception("Wrong number of sensors for measurement %d" % n) | |
128 # we make an array of values for each sensor | |
129 for s in xrange(num_sensors): | |
130 meas[s].append(vals[s]) | |
131 | |
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132 avr_now = float(entries['now']) |
333 | 133 avr_first_time = float(entries['first_time']) |
134 time_step = float(entries['time_step']) | |
135 | |
346 | 136 #sqlite |
137 # - time | |
138 # - voltage | |
139 # - boot time | |
140 | |
333 | 141 first_real_time = time.time() - (avr_now - avr_first_time) |
142 | |
143 for sensor_id, measurements in zip(sensors, meas): | |
346 | 144 # XXX sqlite add |
333 | 145 sensor_update(sensor_id, measurements, first_real_time, time_step) |
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146 |
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147 debugf.write("Updated %d sensors\n" % len(sensors)) |
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148 debugf.flush() |