Mercurial > templog
annotate web/log.py @ 365:d31a6550d264
- add some atomic guards
- get rid of avrtemp
author | Matt Johnston <matt@ucc.asn.au> |
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date | Mon, 25 Jun 2012 22:06:03 +0800 |
parents | 8fea6144951b |
children | 62112fc2af21 |
rev | line source |
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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 |
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12 import traceback |
335 | 13 from colorsys import hls_to_rgb |
333 | 14 |
334 | 15 import config |
333 | 16 |
17 def sensor_rrd_path(s): | |
334 | 18 return '%s/sensor_%s.rrd' % (config.DATA_PATH, s) |
333 | 19 |
335 | 20 # returns (path, sensor_name) tuples |
21 def all_sensors(): | |
22 return [(r, os.path.basename(r[:-4])) | |
23 for r in glob.glob('%s/*.rrd' % config.DATA_PATH)] | |
24 | |
333 | 25 def create_rrd(sensor_id): |
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26 # start date of 10 seconds into 1970 is used so that we can |
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27 # update with prior values straight away. |
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28 args = [sensor_rrd_path(sensor_id), |
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29 '--start', '10', |
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30 '--step', '300', |
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31 'DS:temp:GAUGE:600:-10:100', |
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32 'RRA:AVERAGE:0.5:1:1051200'] |
333 | 33 |
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34 rrdtool.create(*args) |
335 | 35 |
36 # stolen from viewmtn, stolen from monotone-viz | |
37 def colour_from_string(str): | |
38 def f(off): | |
39 return ord(hashval[off]) / 256.0 | |
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40 hashval = hashlib.sha1(str).digest() |
335 | 41 hue = f(5) |
42 li = f(1) * 0.15 + 0.55 | |
43 sat = f(2) * 0.5 + .5 | |
44 return ''.join(["%.2x" % int(x * 256) for x in hls_to_rgb(hue, li, sat)]) | |
45 | |
46 def graph_png(start, length): | |
47 rrds = all_sensors() | |
48 | |
49 graph_args = [] | |
50 for n, (rrdfile, sensor) in enumerate(rrds): | |
51 vname = 'temp%d' % n | |
52 graph_args.append('DEF:%(vname)s=%(rrdfile)s:temp:AVERAGE' % locals()) | |
53 width = config.LINE_WIDTH | |
54 legend = config.SENSOR_NAMES.get(sensor, sensor) | |
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55 colour = config.SENSOR_COLOURS.get(legend, colour_from_string(sensor)) |
335 | 56 graph_args.append('LINE%(width)f:%(vname)s#%(colour)s:%(legend)s' % locals()) |
57 | |
58 tempf = tempfile.NamedTemporaryFile() | |
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59 args = [tempf.name, '-s', str(int(start)), |
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60 '-e', str(int(start+length)), |
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61 '-w', str(config.GRAPH_WIDTH), |
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62 '-h', str(config.GRAPH_HEIGHT), |
335 | 63 '--slope-mode', |
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64 '--border', '0', |
362 | 65 '--y-grid', '1:1', |
66 '--grid-dash', '1:0', | |
67 '--color', 'GRID#00000000', | |
68 '--color', 'MGRID#aaaaaa', | |
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69 '--color', 'BACK#ffffff', |
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70 '--imgformat', 'PNG'] \ |
335 | 71 + graph_args |
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72 if config.GRAPH_FONT: |
362 | 73 args += ['--font', 'DEFAULT:11:%s' % config.GRAPH_FONT] |
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74 print>>sys.stderr, args |
335 | 75 rrdtool.graph(*args) |
76 return tempf.read() | |
77 | |
333 | 78 def sensor_update(sensor_id, measurements, first_real_time, time_step): |
79 try: | |
80 open(sensor_rrd_path(sensor_id)) | |
81 except IOError, e: | |
82 create_rrd(sensor_id) | |
83 | |
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84 print>>sys.stderr, sensor_id, measurements, first_real_time, time_step |
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85 |
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86 if measurements: |
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87 values = ['%d:%f' % p for p in |
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88 zip((first_real_time + time_step*t for t in xrange(len(measurements))), |
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89 measurements)] |
333 | 90 |
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91 rrdfile = sensor_rrd_path(sensor_id) |
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92 print>>sys.stderr, values |
346 | 93 # XXX what to do here when it fails... |
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94 for v in values: |
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95 try: |
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96 rrdtool.update(rrdfile, v) |
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97 except Exception, e: |
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98 print>>sys.stderr, "Bad rrdtool update '%s'" % v |
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99 traceback.print_exc(file=sys.stderr) |
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100 |
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101 # be paranoid |
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102 f = file(rrdfile) |
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103 os.fsync(f.fileno()) |
333 | 104 |
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105 def record_debug(lines): |
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106 f = open('%s/debug.log' % config.DATA_PATH, 'a+') |
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107 f.write('===== %s =====\n' % time.strftime('%a, %d %b %Y %H:%M:%S')) |
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108 f.writelines(('%s\n' % s for s in lines)) |
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109 f.flush() |
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110 return f |
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111 |
333 | 112 def parse(lines): |
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113 |
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114 debugf = record_debug(lines) |
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115 |
333 | 116 entries = dict(l.split('=', 1) for l in lines) |
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117 if len(entries) != len(lines): |
333 | 118 raise Exception("Keys are not unique") |
119 | |
120 num_sensors = int(entries['sensors']) | |
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121 num_measurements = int(entries['measurements']) |
333 | 122 |
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123 sensors = [entries['sensor_id%d' % n] for n in xrange(num_sensors)] |
333 | 124 |
125 meas = [] | |
126 for s in sensors: | |
127 meas.append([]) | |
128 | |
334 | 129 def val_scale(v): |
130 # convert decidegrees to degrees | |
131 return 0.1 * v | |
132 | |
333 | 133 for n in xrange(num_measurements): |
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134 vals = [val_scale(int(x)) for x in entries["meas%d" % n].strip().split()] |
333 | 135 if len(vals) != num_sensors: |
136 raise Exception("Wrong number of sensors for measurement %d" % n) | |
137 # we make an array of values for each sensor | |
138 for s in xrange(num_sensors): | |
139 meas[s].append(vals[s]) | |
140 | |
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141 avr_now = float(entries['now']) |
333 | 142 avr_first_time = float(entries['first_time']) |
143 time_step = float(entries['time_step']) | |
144 | |
346 | 145 #sqlite |
146 # - time | |
147 # - voltage | |
148 # - boot time | |
149 | |
333 | 150 first_real_time = time.time() - (avr_now - avr_first_time) |
151 | |
152 for sensor_id, measurements in zip(sensors, meas): | |
346 | 153 # XXX sqlite add |
333 | 154 sensor_update(sensor_id, measurements, first_real_time, time_step) |
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155 |
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156 debugf.write("Updated %d sensors\n" % len(sensors)) |
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157 debugf.flush() |