Mercurial > templog
annotate web/log.py @ 44:96c336896201
mostly works for testing
| author | Matt Johnston <matt@ucc.asn.au> |
|---|---|
| date | Sat, 23 Jun 2012 23:37:29 +0800 |
| parents | 9b5b202129c3 |
| children | 425af63d584d |
| 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): |
| 25 rrdtool.create(sensor_rrd_path(sensor_id), '-s', '300', | |
| 26 'DS:temp:GAUGE:600:-10:100', | |
| 27 'RRA:AVERAGE:0.5:1:1051200') | |
| 28 | |
| 29 | 29 |
| 30 # stolen from viewmtn, stolen from monotone-viz | |
| 31 def colour_from_string(str): | |
| 32 def f(off): | |
| 33 return ord(hashval[off]) / 256.0 | |
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34 hashval = hashlib.sha1(str).digest() |
| 29 | 35 hue = f(5) |
| 36 li = f(1) * 0.15 + 0.55 | |
| 37 sat = f(2) * 0.5 + .5 | |
| 38 return ''.join(["%.2x" % int(x * 256) for x in hls_to_rgb(hue, li, sat)]) | |
| 39 | |
| 40 def graph_png(start, length): | |
| 41 rrds = all_sensors() | |
| 42 | |
| 43 graph_args = [] | |
| 44 for n, (rrdfile, sensor) in enumerate(rrds): | |
| 45 vname = 'temp%d' % n | |
| 46 graph_args.append('DEF:%(vname)s=%(rrdfile)s:temp:AVERAGE' % locals()) | |
| 47 width = config.LINE_WIDTH | |
| 48 legend = config.SENSOR_NAMES.get(sensor, sensor) | |
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49 colour = config.SENSOR_COLOURS.get(legend, colour_from_string(sensor)) |
| 29 | 50 graph_args.append('LINE%(width)f:%(vname)s#%(colour)s:%(legend)s' % locals()) |
| 51 | |
| 52 tempf = tempfile.NamedTemporaryFile() | |
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53 args = [tempf.name, '-s', str(int(start)), |
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54 '-e', str(int(start+length)), |
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55 '-w', str(config.GRAPH_WIDTH), |
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56 '-h', str(config.GRAPH_HEIGHT), |
| 29 | 57 '--slope-mode', |
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58 '--border', '0', |
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59 '--color', 'BACK#ffffff', |
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60 '--imgformat', 'PNG'] \ |
| 29 | 61 + graph_args |
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62 if config.GRAPH_FONT: |
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63 args += ['--font', 'DEFAULT:0:%s' % config.GRAPH_FONT] |
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64 print>>sys.stderr, args |
| 29 | 65 rrdtool.graph(*args) |
| 66 return tempf.read() | |
| 67 | |
| 27 | 68 def sensor_update(sensor_id, measurements, first_real_time, time_step): |
| 69 try: | |
| 70 open(sensor_rrd_path(sensor_id)) | |
| 71 except IOError, e: | |
| 72 create_rrd(sensor_id) | |
| 73 | |
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74 print>>sys.stderr, sensor_id, measurements, first_real_time, time_step |
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75 |
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76 if measurements: |
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77 values = ['%d:%f' % p for p in |
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78 zip((first_real_time + time_step*t for t in xrange(len(measurements))), |
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79 measurements)] |
| 27 | 80 |
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81 rrdfile = sensor_rrd_path(sensor_id) |
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82 print>>sys.stderr, values |
| 40 | 83 # XXX what to do here when it fails... |
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84 rrdtool.update(rrdfile, *values) |
| 33 | 85 |
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86 # be paranoid |
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87 f = file(rrdfile) |
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88 os.fsync(f.fileno()) |
| 27 | 89 |
| 33 | 90 def record_debug(lines): |
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91 f = open('%s/debug.log' % config.DATA_PATH, 'a+') |
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92 f.write('===== %s =====\n' % time.strftime('%a, %d %b %Y %H:%M:%S')) |
| 33 | 93 f.writelines(('%s\n' % s for s in lines)) |
| 94 f.flush() | |
| 95 return f | |
| 96 | |
| 27 | 97 def parse(lines): |
| 33 | 98 |
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99 debugf = record_debug(lines) |
| 33 | 100 |
| 27 | 101 entries = dict(l.split('=', 1) for l in lines) |
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102 if len(entries) != len(lines): |
| 27 | 103 raise Exception("Keys are not unique") |
| 104 | |
| 105 num_sensors = int(entries['sensors']) | |
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106 num_measurements = int(entries['measurements']) |
| 27 | 107 |
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108 sensors = [entries['sensor_id%d' % n] for n in xrange(num_sensors)] |
| 27 | 109 |
| 110 meas = [] | |
| 111 for s in sensors: | |
| 112 meas.append([]) | |
| 113 | |
| 28 | 114 def val_scale(v): |
| 115 # convert decidegrees to degrees | |
| 116 return 0.1 * v | |
| 117 | |
| 27 | 118 for n in xrange(num_measurements): |
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119 vals = [val_scale(int(x)) for x in entries["meas%d" % n].strip().split()] |
| 27 | 120 if len(vals) != num_sensors: |
| 121 raise Exception("Wrong number of sensors for measurement %d" % n) | |
| 122 # we make an array of values for each sensor | |
| 123 for s in xrange(num_sensors): | |
| 124 meas[s].append(vals[s]) | |
| 125 | |
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126 avr_now = float(entries['now']) |
| 27 | 127 avr_first_time = float(entries['first_time']) |
| 128 time_step = float(entries['time_step']) | |
| 129 | |
| 40 | 130 #sqlite |
| 131 # - time | |
| 132 # - voltage | |
| 133 # - boot time | |
| 134 | |
| 27 | 135 first_real_time = time.time() - (avr_now - avr_first_time) |
| 136 | |
| 137 for sensor_id, measurements in zip(sensors, meas): | |
| 40 | 138 # XXX sqlite add |
| 27 | 139 sensor_update(sensor_id, measurements, first_real_time, time_step) |
| 33 | 140 |
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141 debugf.write("Updated %d sensors\n" % len(sensors)) |
| 33 | 142 debugf.flush() |