Mercurial > templog
annotate web/log.py @ 48:815d78062ba6
merge
| author | Matt Johnston <matt@ucc.asn.au> |
|---|---|
| date | Sun, 24 Jun 2012 10:36:28 +0800 |
| parents | 425af63d584d |
| children | 206294a354a7 |
| rev | line source |
|---|---|
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1 #:vim:et:ts=4:sts=4:sw=4: |
| 27 | 2 import rrdtool |
| 3 import os | |
| 29 | 4 import os.path |
| 27 | 5 import sys |
| 29 | 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 |
| 44 | 11 import sqlite3 |
| 29 | 12 from colorsys import hls_to_rgb |
| 27 | 13 |
| 28 | 14 import config |
| 27 | 15 |
| 16 def sensor_rrd_path(s): | |
| 28 | 17 return '%s/sensor_%s.rrd' % (config.DATA_PATH, s) |
| 27 | 18 |
| 29 | 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 | |
| 27 | 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'] |
| 27 | 32 |
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33 rrdtool.create(*args) |
| 29 | 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() |
| 29 | 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)) |
| 29 | 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), |
| 29 | 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'] \ |
| 29 | 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 |
| 29 | 71 rrdtool.graph(*args) |
| 72 return tempf.read() | |
| 73 | |
| 27 | 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)] |
| 27 | 86 |
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87 rrdfile = sensor_rrd_path(sensor_id) |
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88 print>>sys.stderr, values |
| 40 | 89 # XXX what to do here when it fails... |
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90 rrdtool.update(rrdfile, *values) |
| 33 | 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()) |
| 27 | 95 |
| 33 | 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')) |
| 33 | 99 f.writelines(('%s\n' % s for s in lines)) |
| 100 f.flush() | |
| 101 return f | |
| 102 | |
| 27 | 103 def parse(lines): |
| 33 | 104 |
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105 debugf = record_debug(lines) |
| 33 | 106 |
| 27 | 107 entries = dict(l.split('=', 1) for l in lines) |
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108 if len(entries) != len(lines): |
| 27 | 109 raise Exception("Keys are not unique") |
| 110 | |
| 111 num_sensors = int(entries['sensors']) | |
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112 num_measurements = int(entries['measurements']) |
| 27 | 113 |
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114 sensors = [entries['sensor_id%d' % n] for n in xrange(num_sensors)] |
| 27 | 115 |
| 116 meas = [] | |
| 117 for s in sensors: | |
| 118 meas.append([]) | |
| 119 | |
| 28 | 120 def val_scale(v): |
| 121 # convert decidegrees to degrees | |
| 122 return 0.1 * v | |
| 123 | |
| 27 | 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()] |
| 27 | 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']) |
| 27 | 133 avr_first_time = float(entries['first_time']) |
| 134 time_step = float(entries['time_step']) | |
| 135 | |
| 40 | 136 #sqlite |
| 137 # - time | |
| 138 # - voltage | |
| 139 # - boot time | |
| 140 | |
| 27 | 141 first_real_time = time.time() - (avr_now - avr_first_time) |
| 142 | |
| 143 for sensor_id, measurements in zip(sensors, meas): | |
| 40 | 144 # XXX sqlite add |
| 27 | 145 sensor_update(sensor_id, measurements, first_real_time, time_step) |
| 33 | 146 |
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147 debugf.write("Updated %d sensors\n" % len(sensors)) |
| 33 | 148 debugf.flush() |