Mercurial > templog
annotate web/log.py @ 32:e18d7e89c17d
More minor work
| author | Matt Johnston <matt@ucc.asn.au> |
|---|---|
| date | Thu, 14 Jun 2012 00:00:57 +0800 |
| parents | 5e75e08d20ac |
| children | 024f5571df8c |
| rev | line source |
|---|---|
| 27 | 1 import rrdtool |
| 2 import os | |
| 29 | 3 import os.path |
| 27 | 4 import sys |
| 29 | 5 import glob |
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6 import hashlib |
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7 import tempfile |
| 29 | 8 from colorsys import hls_to_rgb |
| 27 | 9 |
| 28 | 10 import config |
| 27 | 11 |
| 12 def sensor_rrd_path(s): | |
| 28 | 13 return '%s/sensor_%s.rrd' % (config.DATA_PATH, s) |
| 27 | 14 |
| 29 | 15 # returns (path, sensor_name) tuples |
| 16 def all_sensors(): | |
| 17 return [(r, os.path.basename(r[:-4])) | |
| 18 for r in glob.glob('%s/*.rrd' % config.DATA_PATH)] | |
| 19 | |
| 27 | 20 def create_rrd(sensor_id): |
| 21 rrdtool.create(sensor_rrd_path(sensor_id), '-s', '300', | |
| 22 'DS:temp:GAUGE:600:-10:100', | |
| 23 'RRA:AVERAGE:0.5:1:1051200') | |
| 24 | |
| 29 | 25 |
| 26 # stolen from viewmtn, stolen from monotone-viz | |
| 27 def colour_from_string(str): | |
| 28 def f(off): | |
| 29 return ord(hashval[off]) / 256.0 | |
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30 hashval = hashlib.sha1(str).digest() |
| 29 | 31 hue = f(5) |
| 32 li = f(1) * 0.15 + 0.55 | |
| 33 sat = f(2) * 0.5 + .5 | |
| 34 return ''.join(["%.2x" % int(x * 256) for x in hls_to_rgb(hue, li, sat)]) | |
| 35 | |
| 36 def graph_png(start, length): | |
| 37 rrds = all_sensors() | |
| 38 | |
| 39 graph_args = [] | |
| 40 for n, (rrdfile, sensor) in enumerate(rrds): | |
| 41 vname = 'temp%d' % n | |
| 42 graph_args.append('DEF:%(vname)s=%(rrdfile)s:temp:AVERAGE' % locals()) | |
| 43 width = config.LINE_WIDTH | |
| 44 legend = config.SENSOR_NAMES.get(sensor, sensor) | |
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45 colour = config.SENSOR_COLOURS.get(legend, colour_from_string(sensor)) |
| 29 | 46 graph_args.append('LINE%(width)f:%(vname)s#%(colour)s:%(legend)s' % locals()) |
| 47 | |
| 48 tempf = tempfile.NamedTemporaryFile() | |
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49 args = [tempf.name, '-s', str(int(start)), |
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50 '-e', str(int(start+length)), |
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51 '-w', str(config.GRAPH_WIDTH), |
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52 '-h', str(config.GRAPH_HEIGHT), |
| 29 | 53 '--slope-mode', |
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54 '--border', '0', |
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55 '--color', 'BACK#ffffff', |
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56 '--imgformat', 'PNG'] \ |
| 29 | 57 + graph_args |
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58 if config.GRAPH_FONT: |
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59 args += ['--font', 'DEFAULT:0:%s' % config.GRAPH_FONT] |
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60 print>>sys.stderr, args |
| 29 | 61 rrdtool.graph(*args) |
| 62 return tempf.read() | |
| 63 | |
| 27 | 64 def sensor_update(sensor_id, measurements, first_real_time, time_step): |
| 65 try: | |
| 66 open(sensor_rrd_path(sensor_id)) | |
| 67 except IOError, e: | |
| 68 create_rrd(sensor_id) | |
| 69 | |
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70 values = ['%f:%f' % p for p in |
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71 zip((first_real_time + time_step*t for t in xrange(len(measurements))), |
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72 measurements)] |
| 27 | 73 |
| 32 | 74 rrdfile = sensor_rrd_path(sensor_id) |
| 75 rrdtool.update(rrdfile, *values) | |
| 76 f = file(rrdfile) | |
| 77 os.fsync(f.fileno()) | |
| 27 | 78 |
| 79 def parse(lines): | |
| 80 entries = dict(l.split('=', 1) for l in lines) | |
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81 if len(entries) != len(lines): |
| 27 | 82 raise Exception("Keys are not unique") |
| 83 | |
| 84 num_sensors = int(entries['sensors']) | |
| 85 num_measurements = int(entries['sensors']) | |
| 86 | |
| 87 sensor_ids = [entries['sensor_id%d' % n] for n in xrange(num_sensors)] | |
| 88 | |
| 89 meas = [] | |
| 90 for s in sensors: | |
| 91 meas.append([]) | |
| 92 | |
| 28 | 93 def val_scale(v): |
| 94 # convert decidegrees to degrees | |
| 95 return 0.1 * v | |
| 96 | |
| 27 | 97 for n in xrange(num_measurements): |
| 28 | 98 vals = [val_scale(int(entries["meas%d" % n].strip().split()))] |
| 27 | 99 if len(vals) != num_sensors: |
| 100 raise Exception("Wrong number of sensors for measurement %d" % n) | |
| 101 # we make an array of values for each sensor | |
| 102 for s in xrange(num_sensors): | |
| 103 meas[s].append(vals[s]) | |
| 104 | |
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105 avr_now = float(entries['now']) |
| 27 | 106 avr_first_time = float(entries['first_time']) |
| 107 time_step = float(entries['time_step']) | |
| 108 | |
| 109 first_real_time = time.time() - (avr_now - avr_first_time) | |
| 110 | |
| 111 for sensor_id, measurements in zip(sensors, meas): | |
| 112 sensor_update(sensor_id, measurements, first_real_time, time_step) |