Mercurial > ~darius > hgwebdir.cgi > vanlogger
annotate graph.py @ 26:00845d271007
Add Giant IPS udev rule
author | Daniel O'Connor <darius@dons.net.au> |
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date | Wed, 25 Sep 2019 21:35:40 +0930 |
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children | aa18210c2703 |
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1 #!/usr/bin/env python |
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2 |
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3 import argparse |
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4 import datetime |
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5 import dateutil |
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6 import exceptions |
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7 import matplotlib |
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8 import matplotlib.dates |
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9 import numpy |
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10 import os |
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11 import requests |
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12 import sqlite3 |
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13 import tzlocal |
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14 |
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15 class Column(object): |
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16 def __init__(self, rowname, title, table, units, limits = (None, None), conv = None, annofn = None): |
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17 self.rowname = rowname |
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18 self.title = title |
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19 self.table = table |
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20 self.units = units |
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21 self.limits = limits |
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22 self.conv = conv |
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23 self.annofn = annofn |
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24 |
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25 columns = [ |
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26 Column('main_voltage', 'Battery Voltage', 'eprolog', 'Vdc'), |
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27 Column('aux_voltage', 'Aux Voltage', 'eprolog', 'Vdc'), |
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28 Column('battery_curr', 'Battery Current', 'eprolog', 'A'), |
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29 Column('amp_hours', 'Battery Amp Hours', 'eprolog', 'Ah'), |
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30 Column('state_of_charge', 'State of Charge', 'eprolog', '%', (0, 100), annofn = lambda xdata, ydata: 'DoD: %.1f' % (100 - ydata.min())), |
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31 Column('time_remaining', 'Time Remaining', 'eprolog', 'min'), |
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32 Column('battery_temp', 'Battery Temperature', 'eprolog', 'C'), |
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33 |
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34 Column('ac_act_power', 'Active Power', 'giantlog', 'W'), |
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35 Column('ac_app_power', 'Apparent Power', 'giantlog', 'W'), |
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36 Column('ac_frequency', 'AC Frequency', 'giantlog', 'Hz'), |
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37 Column('ac_volts', 'AC Voltage', 'giantlog', 'Vac'), |
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38 Column('batt_chr_curr', 'Discharge Current', 'giantlog', 'A'), |
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39 Column('batt_dis_curr', 'Charge Current', 'giantlog', 'A'), |
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40 Column('battery_cap', 'Battery Capacity', 'giantlog', '%', (0, 100)), |
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41 Column('battery_volts', 'Battery Voltage', 'giantlog', 'Vdc'), |
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42 Column('grid_frequency', 'Grid Frequency', 'giantlog', 'Hz'), |
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43 Column('grid_volts', 'Grid Voltage', 'giantlog', 'Vac'), |
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44 Column('hs_temperature', 'HS Temperature', 'giantlog', 'C'), |
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45 Column('load_pct', 'Load', 'giantlog', '%', (0, 100)), |
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46 ] |
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47 |
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48 def valid_date(s): |
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49 try: |
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50 return datetime.datetime.strptime(s, "%Y-%m-%d") |
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51 except ValueError: |
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52 raise argparse.ArgumentTypeError("Not a valid date: '{0}'.".format(s)) |
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53 |
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54 def main(): |
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55 parser = argparse.ArgumentParser() |
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56 parser.add_argument('-f', '--filename', help = 'Path to database', type = str, required = True) |
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57 parser.add_argument('-g', '--graphfn', help = 'File to write graph to', type = str) |
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58 parser.add_argument('-d', '--days', help = 'Days ago to graph', type = int) |
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59 parser.add_argument('-s', '--start', help = 'Start date for graph (YYYY-MM-DD)', type = valid_date) |
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60 parser.add_argument('-e', '--end', help = 'End date for graph (YYYY-MM-DD)', type = valid_date) |
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61 parser.add_argument('-c', '--column', help = 'Column to plot (can be specified multiple times)', type = str, action = 'append') |
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62 parser.add_argument('-z', '--timezone', help = 'Timezone to operate in in (Oslon format) default: localtime)', type = str) |
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63 |
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64 args = parser.parse_args() |
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65 |
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66 if args.days is not None and args.days < 0: |
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67 parser.error('days must be non-negative') |
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68 |
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69 # Can specify.. |
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70 # Start and end |
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71 # Start and days or Start |
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72 # End and days or End |
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73 # Nothing |
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74 # Want to end up with a start & end |
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75 selector = [args.start is not None, args.end is not None, args.days is not None] |
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76 if selector == [True, True, False]: |
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77 pass |
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78 elif selector == [True, False, True] or selector == [True, False, False]: |
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79 if args.days == None: |
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80 args.days = 1 |
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81 args.end = args.start + datetime.timedelta(days = args.days) |
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82 elif selector == [False, True, True] or selector == [False, True, False]: |
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83 if args.days == None: |
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84 args.days = 1 |
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85 args.start = args.end - datetime.timedelta(days = args.days) |
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86 elif selector == [False, False, True]: |
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87 end = datetime.date.today() |
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88 end = datetime.datetime(start.year, start.month, start.day) |
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89 args.start = args.end - datetime.timedelta(days = args.days) |
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90 else: |
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91 parser.error('can\'t specify days, start and end simultaneously') |
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92 |
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93 if args.start >= args.end: |
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94 parser.error('Start must be before end') |
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95 |
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96 cols = args.column |
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97 if cols == None: |
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98 cols = ['state_of_charge', 'load_pct', 'main_voltage', 'aux_voltage'] |
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99 |
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100 dbh = sqlite3.connect(args.filename, detect_types = sqlite3.PARSE_DECLTYPES) |
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101 cur = dbh.cursor() |
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102 |
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103 # Get local timezone name and convert start/end to it |
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104 # Why is this so hard... |
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105 if args.timezone is None: |
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106 args.timezone = tzlocal.get_localzone().zone |
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107 |
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108 lt = dateutil.tz.gettz(args.timezone) |
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109 if lt == None: |
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110 parser.error('Unknown timezone') |
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111 |
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112 utc = dateutil.tz.gettz('UTC') |
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113 matplotlib.rcParams['timezone'] = args.timezone |
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114 |
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115 if args.start.tzinfo == None: |
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116 args.start = args.start.replace(tzinfo = lt) |
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117 if args.end.tzinfo == None: |
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118 args.end = args.end.replace(tzinfo = lt) |
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119 startlt = args.start |
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120 endlt = args.end |
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121 args.start = args.start.astimezone(utc) |
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122 args.end = args.end.astimezone(utc) |
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123 graph(args.graphfn, cur, cols, args.start, args.end, lt, utc) |
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124 |
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125 def graph(fname, cur, _cols, start, end, lt, utc): |
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126 import numpy |
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127 import matplotlib |
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128 import matplotlib.dates |
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129 |
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130 startepoch = int(start.strftime('%s')) |
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131 endepoch = int(end.strftime('%s')) |
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132 |
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133 colourlist = ['b','g','r','c','m','y','k'] |
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134 |
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135 cols = [] |
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136 |
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137 yaxisunits1 = None |
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138 yaxisunits2 = None |
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139 ax1lines = [] |
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140 ax2lines = [] |
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141 colouridx = 0 |
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142 for col in _cols: |
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143 # Check the column exists |
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144 for c in columns: |
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145 if col == c.rowname: |
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146 cols.append(c) |
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147 break |
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148 else: |
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149 raise exceptions.Exception('Unknown column name ' + c) |
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150 |
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151 # Work out what axes we are using |
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152 if yaxisunits1 == None: |
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153 yaxisunits1 = c.units |
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154 if yaxisunits2 == None: |
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155 if c.units != yaxisunits1: |
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156 yaxisunits2 = c.units |
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157 else: |
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158 if c.units != yaxisunits1 and c.units != yaxisunits2: |
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159 raise exceptions.Exception('Asked to graph >2 different units') |
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160 |
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161 for c in cols: |
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162 # Get the data |
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163 cur.execute('SELECT tstamp, ' + c.rowname + ' FROM ' + c.table + ' WHERE tstamp > ? AND tstamp < ? ORDER BY tstamp', |
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164 (startepoch, endepoch)) |
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165 ary = numpy.array(cur.fetchall()) |
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166 if ary.shape[0] == 0: |
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167 print('No data for ' + c.rowname) |
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168 return |
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169 |
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170 # Create TZ naive from POSIX stamp, then convert to TZ aware UTC then adjust to local time |
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171 c.xdata = map(lambda f: datetime.datetime.fromtimestamp(f).replace(tzinfo = utc).astimezone(lt), ary[:,0]) |
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172 c.ydata = ary[:,1] |
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173 if c.conv != None: |
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174 c.ydata = map(c.conv, c.ydata) |
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175 |
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176 scale_min, scale_max = c.limits |
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177 |
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178 # DoD? |
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179 if c.annofn != None: |
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180 c.annotation = c.annofn(c.xdata, c.ydata) |
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181 else: |
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182 c.annotation = None |
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183 |
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184 # Work out which axis to plot on |
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185 if c.units == yaxisunits1: |
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186 ax = ax1lines |
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187 else: |
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188 ax = ax2lines |
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189 c.colour = colourlist[colouridx] |
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190 colouridx += 1 |
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191 ax.append(c) |
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192 |
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193 # Load the right backend for display or save |
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194 if fname == None: |
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195 import matplotlib.pylab |
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196 fig = matplotlib.pylab.figure() |
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197 else: |
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198 import matplotlib.backends.backend_agg |
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199 fig = matplotlib.figure.Figure(figsize = (12, 6), dpi = 75) |
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200 |
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201 # Do the plot |
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202 ax1 = fig.add_subplot(111) |
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203 ax1.set_ylabel(yaxisunits1) |
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204 |
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205 annotations = [] |
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206 for line in ax1lines: |
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207 ax1.plot(line.xdata, line.ydata, label = line.title, color = line.colour) |
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208 if line.limits[0] != None or line.limits[1] != None: |
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209 ax1.set_ylim(line.limits[0], line.limits[1]) |
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210 if line.annotation != None: |
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211 annotations.append(line.annotation) |
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212 ax1.legend(loc = 'upper left') |
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213 |
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214 if len(ax2lines) > 0: |
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215 ax2 = ax1.twinx() |
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216 ax2.set_ylabel(yaxisunits2) |
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217 |
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218 for line in ax2lines: |
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219 ax2.plot(line.xdata, line.ydata, label = line.title, color = line.colour) |
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220 if line.limits[0] != None or line.limits[1] != None: |
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221 ax2.set_ylim(line.limits[0], line.limits[1]) |
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222 if line.annotation != None: |
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223 annotations.append(line.annotation) |
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224 |
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225 ax2.legend(loc = 'upper right') |
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226 |
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227 if len(annotations) > 0: |
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228 ax1.text(0.02, 0.5, reduce(lambda a, b: a + '\n' + b, annotations), |
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229 transform = ax1.transAxes, bbox = dict(facecolor = 'blue', alpha = 0.5), |
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230 ha = 'left', va = 'top') |
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231 ndays = int(max(1, round(((end - start).total_seconds()) / 86400))) |
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232 for ax in fig.get_axes(): |
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233 if ndays > 1: |
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234 ax.set_title('%s to %s' % (start.strftime('%Y-%m-%d'), end.strftime('%Y-%m-%d'))) |
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235 else: |
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236 ax.set_title('%s' % (start.strftime('%Y-%m-%d'))) |
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237 ax.set_xlim([start, end]) |
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238 ax.format_xdata = lambda d: matplotlib.dates.num2date(d).strftime('%d %b %H:%M') |
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239 ax.xaxis.grid(True) |
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240 ax.xaxis.set_major_formatter(matplotlib.dates.DateFormatter('%d %b\n%H:%M')) |
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241 ax.xaxis.set_major_locator(matplotlib.dates.HourLocator(interval = 2 * ndays)) |
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242 ax.xaxis.set_minor_locator(matplotlib.dates.MinuteLocator(interval = 5 * ndays)) |
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243 for label in ax.get_xticklabels(): |
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244 label.set_ha('center') |
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245 label.set_rotation(90) |
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246 |
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247 # Fudge margins to give more graph and less space |
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248 fig.subplots_adjust(left = 0.10, right = 0.88, top = 0.95, bottom = 0.15) |
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249 if fname == None: |
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250 matplotlib.pyplot.show() |
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251 else: |
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252 canvas = matplotlib.backends.backend_agg.FigureCanvasAgg(fig) # Sets canvas in fig too |
12 | 253 fig.savefig(startdt.strftime(fname)) |
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254 |
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255 def updatedb(cur, data): |
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256 mkdb(cur) |
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257 for d in data['reads']['data']: |
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258 ts = datetime.datetime.strptime(d['t_stamp'], '%Y-%m-%dT%H:%M:%SZ') |
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259 # Note we rename *energy* to *power* here to match what it actually means |
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260 vals = [ts, d['battery_charge'], d['battery_energy'], d['energy_consumed'], d['energy_expected'], d['energy_exported'], d['energy_generated'], |
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261 d['energy_imported'], d['estimated_savings'], d['pv_forecast'], d['pv_generation']['battery_energy'], |
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262 d['pv_generation']['grid_energy'], d['pv_generation']['site_energy'], d['site_consumption']['battery_energy'], |
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263 d['site_consumption']['grid_energy'], d['site_consumption']['pv_energy']] |
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264 skip = True |
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265 for v in vals[1:]: |
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266 if v != None: |
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267 skip = False |
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268 break |
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269 if skip: |
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270 print('Skipping empty record at ' + str(ts)) |
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271 continue |
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272 cur.execute('INSERT OR IGNORE INTO agl(t_stamp, battery_charge, battery_power, power_consumed, power_expected, power_exported, power_generated, power_imported, estimated_savings, pv_forecast, pv_gen_battery, pv_gen_grid, pv_gen_site, site_cons_battery, site_cons_grid, site_cons_pv) VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)', vals) |
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273 |
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274 def gettoken(username, password): |
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275 authblob = json.encoder.JSONEncoder().encode({'email' : username, 'password' : password}) |
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276 reply = requests.request('POST', loginurl, data = authblob, headers = {'Content-Type' : 'application/json'}) |
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277 if reply.status_code != 200: |
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278 return None |
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279 return json.decoder.JSONDecoder().decode(reply.content)['access_token'] |
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280 |
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281 def getdata(token, startdate, enddate): |
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282 #print('getting ' + startdate.strftime('%Y-%m-%d')) |
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283 reply = requests.request('GET', dataurl, params = { |
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284 'startDate' : startdate.strftime('%Y-%m-%d'), |
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285 'endDate' : enddate.strftime('%Y-%m-%d'), |
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286 'granularity' : 'Minute', |
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287 'metrics' : 'read', |
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288 'units' : 'W', |
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289 }, headers = { 'Authorization' : 'Bearer ' + token}) |
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290 |
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291 if reply.status_code != 200: |
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292 return None |
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293 |
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294 return json.decoder.JSONDecoder().decode(reply.content) |
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295 |
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296 def logout(token): |
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297 reply = requests.request('GET', logouturl, headers = { 'Authorization' : 'Bearer ' + token}) |
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298 return reply.status_code == 200 |
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299 |
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300 if __name__ == '__main__': |
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301 main() |