Mercurial > ~darius > hgwebdir.cgi > agl
annotate agl.py @ 14:db4951d2d303
Add option to graph N days ago easily.
author | Daniel O'Connor <darius@dons.net.au> |
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date | Mon, 11 Sep 2017 22:09:37 +0930 |
parents | 988e511a5f29 |
children | 7fd3dc0516f8 |
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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 ConfigParser |
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5 import datetime |
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6 import dateutil |
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7 import exceptions |
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8 import json |
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9 import os |
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10 import requests |
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11 import sqlite3 |
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12 import sys |
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13 import tzlocal |
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14 |
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15 loginurl = 'https://command.aglsolar.com.au/api/v2/Account/LoginUser' |
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16 dataurl = 'https://command.aglsolar.com.au/api/v2/graph/b8e08afb-818f-4d2d-9d28-5afe8fc76a32' |
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17 # ?endDate=2017-08-23&granularity=Minute&metrics=read&startDate=2017-08-23&units=W' |
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18 logouturl = 'https://command.aglsolar.com.au/api/v2/Account/Logout' |
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19 |
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20 def valid_date(s): |
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21 try: |
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22 return datetime.datetime.strptime(s, "%Y-%m-%d") |
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23 except ValueError: |
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24 raise argparse.ArgumentTypeError("Not a valid date: '{0}'.".format(s)) |
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25 |
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26 def main(): |
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27 parser = argparse.ArgumentParser() |
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28 parser.add_argument('-u', '--update', help = 'Update data', action="store_true") |
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29 parser.add_argument('-g', '--graph', help = 'Produce graph', action="store_true") |
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30 parser.add_argument('-f', '--filename', help = 'Filename to save graph as (uses strftime on start)', type = str) |
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31 parser.add_argument('-d', '--days', help = 'Days ago to graph', type = int) |
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32 parser.add_argument('-s', '--start', help = 'Start date for graph (YYYY-MM-DD)', type = valid_date) |
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33 parser.add_argument('-e', '--end', help = 'End date for graph (YYYY-MM-DD)', type = valid_date) |
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34 |
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35 args = parser.parse_args() |
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36 |
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37 conf = ConfigParser.ConfigParser() |
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38 confname = os.environ['HOME'] + '/.agl.ini' |
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39 conf.read(confname) |
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40 username = conf.get('DEFAULT', 'username') |
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41 password = conf.get('DEFAULT', 'password') |
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42 dbfn = conf.get('DEFAULT', 'db') |
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43 |
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44 if not args.update and not args.graph: |
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45 parser.error('Nothing to do') |
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46 |
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47 start = args.start |
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48 if start is None: |
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49 start = datetime.date.today() |
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50 start = datetime.datetime(start.year, start.month, start.day) |
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51 |
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52 if args.days is not None: |
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53 start -= datetime.timedelta(days = args.days) |
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54 |
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55 end = args.end |
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56 if end is None: |
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57 end = start + datetime.timedelta(days = 1) |
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58 end = datetime.datetime(end.year, end.month, end.day) |
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59 |
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60 dbh = sqlite3.connect(dbfn, detect_types = sqlite3.PARSE_DECLTYPES) |
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61 cur = dbh.cursor() |
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62 if args.update: |
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63 date = start |
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64 while date < end: |
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65 if conf.has_option('DEFAULT', 'token'): |
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66 token = conf.get('DEFAULT', 'token') |
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67 else: |
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68 token = gettoken(username, password) |
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69 conf.set('DEFAULT', 'token', token) |
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70 conf.write(file(confname, 'w')) |
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71 |
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72 data = getdata(token, date, date) |
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73 if data == None: |
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74 #print('Getting new token') |
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75 token = gettoken(username, password) |
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76 data = getdata(token, date, date) |
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77 if data == None: |
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78 print('Unable to fetch data') |
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79 updatedb(cur, data) |
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80 dbh.commit() |
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81 date += datetime.timedelta(days = 1) |
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82 |
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83 if args.graph: |
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84 graph(args.filename, cur, |
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85 ['battery_charge', 'battery_power', 'power_imported', 'power_exported', 'power_consumed', 'power_generated'], |
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86 start, end) |
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87 |
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88 def mkdb(cur): |
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89 cur.execute(''' |
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90 CREATE TABLE IF NOT EXISTS agl ( |
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91 t_stamp TIMESTAMP PRIMARY KEY, |
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92 battery_charge NUMBER, |
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93 battery_power NUMBER, |
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94 power_consumed NUMBER, |
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95 power_expected NUMBER, |
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96 power_exported NUMBER, |
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97 power_generated NUMBER, |
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98 power_imported NUMBER, |
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99 estimated_savings NUMBER, |
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100 pv_forecast NUMBER, |
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101 pv_gen_battery NUMBER, |
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102 pv_gen_grid NUMBER, |
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103 pv_gen_site NUMBER, |
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104 site_cons_battery NUMBER, |
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105 site_cons_grid NUMBER, |
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106 site_cons_pv NUMBER |
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107 )''') |
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108 |
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109 units = { |
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110 'battery_charge' : '%', |
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111 'battery_power' : 'Watt', |
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112 'power_consumed' : 'Watt', |
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113 'power_expected' : 'Watt', |
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114 'power_exported' : 'Watt', |
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115 'power_generated' : 'Watt', |
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116 'power_imported' : 'Watt', |
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117 'estimated_savings' : '$', |
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118 'pv_forecast' : 'Watt', |
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119 'pv_gen_battery' : 'Watt', |
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120 'pv_gen_grid' : 'Watt', |
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121 'pv_gen_site' : 'Watt', |
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122 'site_cons_battery' : 'Watt', |
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123 'site_cons_grid' : 'Watt', |
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124 'site_cons_pv' : 'Watt' |
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125 } |
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126 |
5
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127 convs = { |
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128 'battery_power' : lambda a: a / 1000.0, |
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129 } |
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130 |
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131 scale_limits = { |
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132 'battery_charge' : (0, 100), |
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133 } |
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134 |
10
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135 tarrifs = { |
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136 'power_exported' : 0.163, |
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137 'power_imported' : 0.380, |
11
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138 'power_generated' : 0.163, |
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139 'power_consumed' : 0.380, |
10
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140 } |
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141 |
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142 names = { |
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143 'battery_charge' : 'Battery Charge', |
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144 'battery_power' : 'Battery Power', |
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145 'power_consumed' : 'Power Consumed', |
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146 'power_expected' : 'Power Expected', |
6
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147 'power_exported' : 'Power Exported', |
2
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148 'power_generated' : 'Power Generated', |
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149 'power_imported' : 'Power Imported', |
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150 'estimated_savings' : 'Estimated Savings', |
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151 'pv_forecast' : 'PV Forecast', |
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152 'pv_gen_battery' : 'PV Generation Battery', |
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153 'pv_gen_grid' : 'PV Generation Grid', |
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154 'pv_gen_site' : 'PV Generation Site', |
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155 'site_cons_battery' : 'Site Consumption Batter', |
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156 'site_cons_grid' : 'Site Consumption Grid', |
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157 'site_cons_pv' : 'Site Consumption PV' |
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158 } |
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159 |
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160 def graph(fname, cur, cols, start, end): |
0
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161 import numpy |
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162 import matplotlib |
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163 import matplotlib.dates |
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164 |
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165 colourlist = ['b','g','r','c','m','y','k'] |
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166 |
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167 # Work out what axes we are using |
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168 yaxisunits1 = None |
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169 yaxisunits2 = None |
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170 ax1lines = [] |
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171 ax2lines = [] |
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172 colouridx = 0 |
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173 for col in cols: |
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174 unit = units[col] |
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175 if yaxisunits1 == None: |
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176 yaxisunits1 = unit |
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177 if yaxisunits2 == None: |
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178 if unit != yaxisunits1: |
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179 yaxisunits2 = unit |
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180 else: |
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181 if unit != yaxisunits1 and unit != yaxisunits2: |
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182 raise exceptions.Exception('Asked to graph >2 different units') |
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|
183 |
2
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184 ltname = tzlocal.get_localzone().zone # Why is this so hard.. |
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185 lt = dateutil.tz.gettz(ltname) |
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186 utc = dateutil.tz.gettz('UTC') |
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187 matplotlib.rcParams['timezone'] = ltname |
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188 |
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189 if start.tzinfo == None: |
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190 start = start.replace(tzinfo = lt) |
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191 if end.tzinfo == None: |
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192 end = end.replace(tzinfo = lt) |
13
988e511a5f29
Run strftime on filename.
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12
diff
changeset
|
193 startlt = start |
988e511a5f29
Run strftime on filename.
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12
diff
changeset
|
194 endlt = end |
1
6e3ca5bfda04
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195 start = start.astimezone(utc) |
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196 end = end.astimezone(utc) |
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|
197 |
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198 # Actually get the data |
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199 colstr = reduce(lambda a, b: a + ', ' + b, cols) |
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200 # Data is stored as naive datetime's which are in UTC so convert the requested time here |
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201 cur.execute('SELECT t_stamp, ' + colstr + ' FROM agl WHERE t_stamp > ? AND t_stamp < ? ORDER BY t_stamp', |
0
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|
202 (start, end)) |
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|
203 ary = numpy.array(cur.fetchall()) |
2
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204 if ary.shape[0] == 0: |
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|
205 print('No data') |
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- Make an actual usable command line program.
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diff
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|
206 return |
8
22d31cee19b1
Misc tidyup, no functional change
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7
diff
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|
207 # Convert TZ naive UTC to TZ aware UTC then adjust to local time |
1
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|
208 xdata = map(lambda f: f.replace(tzinfo = utc).astimezone(lt), ary[:,0]) |
10
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9
diff
changeset
|
209 xhours = matplotlib.dates.date2num(xdata) * 24 |
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9
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|
210 xdeltas = xhours[1:] - xhours[0:-1] |
0
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diff
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|
211 for idx in range(len(cols)): |
10
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|
212 col = cols[idx] |
5
b42baa411817
Display battery_power (which seems to be in milliwatts..?)
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diff
changeset
|
213 ydata = ary[:,idx + 1] |
10
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diff
changeset
|
214 if col in convs: |
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diff
changeset
|
215 ydata = convs[col](ydata) |
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diff
changeset
|
216 if col in scale_limits: |
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9
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changeset
|
217 scale_min = scale_limits[col][0] |
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changeset
|
218 scale_max = scale_limits[col][1] |
9
e2807c99e107
Fix battery charge scale to 0-100.
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8
diff
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|
219 else: |
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diff
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|
220 scale_min = None |
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8
diff
changeset
|
221 scale_max = None |
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8
diff
changeset
|
222 |
10
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diff
changeset
|
223 if col in tarrifs: |
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diff
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|
224 annotation = '%s: $%.2f' % (names[col], (ydata[1:] * xdeltas).sum() / 1000.0 * tarrifs[col]) |
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changeset
|
225 else: |
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|
226 annotation = None |
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|
227 |
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|
228 if units[col] == yaxisunits1: |
9
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229 ax = ax1lines |
0
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|
230 else: |
9
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|
231 ax = ax2lines |
10
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|
232 ax.append([xdata, ydata, names[col], colourlist[colouridx], scale_min, scale_max, annotation]) |
0
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233 colouridx += 1 |
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|
234 |
4
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235 if fname == None: |
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|
236 import matplotlib.pylab |
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237 fig = matplotlib.pylab.figure() |
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238 else: |
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239 import matplotlib.backends.backend_agg |
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240 fig = matplotlib.figure.Figure(figsize = (8, 6), dpi = 75) |
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|
241 |
0
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242 ax1 = fig.add_subplot(111) |
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243 ax1.set_ylabel(yaxisunits1) |
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244 |
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245 annotations = [] |
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246 for line in ax1lines: |
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247 ax1.plot(line[0], line[1], label = line[2], color = line[3]) |
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248 if line[4] != None and line[5] != None: |
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249 ax1.set_ylim((line[4], line[5])) |
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250 if line[6] != None: |
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251 annotations.append(line[6]) |
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252 ax1.legend(loc = 'upper left') |
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253 |
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254 if yaxisunits2 != None: |
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255 ax2 = ax1.twinx() |
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256 ax2.set_ylabel(yaxisunits2) |
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257 |
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258 for line in ax2lines: |
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259 ax2.plot(line[0], line[1], label = line[2], color = line[3]) |
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260 if line[4] != None and line[5] != None: |
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261 ax2.set_ylim(bottom = line[4], top = line[5]) |
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262 if line[6] != None: |
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263 annotations.append(line[6]) |
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264 |
0
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265 ax2.legend(loc = 'upper right') |
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266 ax1.text(0.02, 0.9, reduce(lambda a, b: a + '\n' + b, annotations), |
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267 transform = ax1.transAxes, bbox = dict(facecolor = 'red', alpha = 0.5), |
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268 ha = 'left', va = 'top') |
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269 ndays = int(max(1, round(((end - start).total_seconds()) / 86400))) |
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270 for ax in fig.get_axes(): |
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271 ax.set_title('%s to %s' % (startlt.strftime('%Y-%m-%d'), endlt.strftime('%Y-%m-%d'))) |
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272 ax.set_xlim([start, end]) |
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273 ax.format_xdata = lambda d: matplotlib.dates.num2date(d).strftime('%d %b %H:%M') |
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274 ax.xaxis.grid(True) |
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275 ax.xaxis.set_major_formatter(matplotlib.dates.DateFormatter('%d %b\n%H:%M')) |
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276 ax.xaxis.set_major_locator(matplotlib.dates.HourLocator(interval = 2 * ndays)) |
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277 ax.xaxis.set_minor_locator(matplotlib.dates.MinuteLocator(interval = 5 * ndays)) |
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278 for label in ax.get_xticklabels(): |
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279 label.set_ha('center') |
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280 label.set_rotation(90) |
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281 |
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282 # Fudge margins to give more graph and less space |
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283 fig.subplots_adjust(left = 0.10, right = 0.88, top = 0.95, bottom = 0.15) |
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284 if fname == None: |
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285 matplotlib.pyplot.show() |
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286 else: |
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287 canvas = matplotlib.backends.backend_agg.FigureCanvasAgg(fig) # Sets canvas in fig too |
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288 fig.savefig(startlt.strftime(fname)) |
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289 |
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290 def updatedb(cur, data): |
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291 mkdb(cur) |
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292 for d in data['reads']['data']: |
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293 ts = datetime.datetime.strptime(d['t_stamp'], '%Y-%m-%dT%H:%M:%SZ') |
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294 # Note we rename *energy* to *power* here to match what it actually means |
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295 vals = [ts, d['battery_charge'], d['battery_energy'], d['energy_consumed'], d['energy_expected'], d['energy_exported'], d['energy_generated'], |
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296 d['energy_imported'], d['estimated_savings'], d['pv_forecast'], d['pv_generation']['battery_energy'], |
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297 d['pv_generation']['grid_energy'], d['pv_generation']['site_energy'], d['site_consumption']['battery_energy'], |
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298 d['site_consumption']['grid_energy'], d['site_consumption']['pv_energy']] |
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299 skip = True |
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300 for v in vals[1:]: |
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301 if v != None: |
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302 skip = False |
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303 break |
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304 if skip: |
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305 print('Skipping empty record at ' + str(ts)) |
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306 continue |
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307 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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308 |
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309 def gettoken(username, password): |
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310 authblob = json.encoder.JSONEncoder().encode({'email' : username, 'password' : password}) |
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311 reply = requests.request('POST', loginurl, data = authblob, headers = {'Content-Type' : 'application/json'}) |
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312 if reply.status_code != 200: |
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313 return None |
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314 return json.decoder.JSONDecoder().decode(reply.content)['access_token'] |
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315 |
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316 def getdata(token, startdate, enddate): |
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317 #print('getting ' + startdate.strftime('%Y-%m-%d')) |
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318 reply = requests.request('GET', dataurl, params = { |
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319 'startDate' : startdate.strftime('%Y-%m-%d'), |
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320 'endDate' : enddate.strftime('%Y-%m-%d'), |
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321 'granularity' : 'Minute', |
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322 'metrics' : 'read', |
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323 'units' : 'W', |
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324 }, headers = { 'Authorization' : 'Bearer ' + token}) |
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325 |
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326 if reply.status_code != 200: |
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327 return None |
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328 |
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329 return json.decoder.JSONDecoder().decode(reply.content) |
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330 |
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331 def logout(token): |
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332 reply = requests.request('GET', logouturl, headers = { 'Authorization' : 'Bearer ' + token}) |
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333 return reply.status_code == 200 |
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334 |
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335 if __name__ == '__main__': |
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336 main() |