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1 | ||
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2 | import os | |
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3 | import sys | |
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4 | import zmq | |
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5 | import time | |
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6 | import datetime | |
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7 | from functools import wraps | |
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8 | import numpy | |
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9 | import matplotlib | |
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10 | ||
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11 | if 'BACKEND' in os.environ: | |
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12 | matplotlib.use(os.environ['BACKEND']) | |
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13 | elif 'linux' in sys.platform: | |
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14 | matplotlib.use("TkAgg") | |
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15 | elif 'darwin' in sys.platform: | |
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16 | matplotlib.use('TkAgg') | |
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17 | else: | |
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18 | from schainpy.utils import log | |
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19 | log.warning('Using default Backend="Agg"', 'INFO') | |
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20 | matplotlib.use('Agg') | |
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21 | ||
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22 | import matplotlib.pyplot as plt | |
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23 | from matplotlib.patches import Polygon | |
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24 | from mpl_toolkits.axes_grid1 import make_axes_locatable | |
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25 | from matplotlib.ticker import FuncFormatter, LinearLocator, MultipleLocator | |
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26 | ||
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27 | from schainpy.model.data.jrodata import PlotterData | |
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28 | from schainpy.model.proc.jroproc_base import ProcessingUnit, Operation, MPDecorator | |
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29 | from schainpy.utils import log | |
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30 | ||
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31 | jet_values = matplotlib.pyplot.get_cmap('jet', 100)(numpy.arange(100))[10:90] | |
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32 | blu_values = matplotlib.pyplot.get_cmap( | |
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33 | 'seismic_r', 20)(numpy.arange(20))[10:15] | |
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34 | ncmap = matplotlib.colors.LinearSegmentedColormap.from_list( | |
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35 | 'jro', numpy.vstack((blu_values, jet_values))) | |
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36 | matplotlib.pyplot.register_cmap(cmap=ncmap) | |
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37 | ||
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38 | CMAPS = [plt.get_cmap(s) for s in ('jro', 'jet', 'viridis', | |
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39 | 'plasma', 'inferno', 'Greys', 'seismic', 'bwr', 'coolwarm')] | |
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40 | ||
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41 | EARTH_RADIUS = 6.3710e3 | |
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42 | ||
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43 | ||
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44 | def ll2xy(lat1, lon1, lat2, lon2): | |
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45 | ||
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46 | p = 0.017453292519943295 | |
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47 | a = 0.5 - numpy.cos((lat2 - lat1) * p)/2 + numpy.cos(lat1 * p) * \ | |
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48 | numpy.cos(lat2 * p) * (1 - numpy.cos((lon2 - lon1) * p)) / 2 | |
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49 | r = 12742 * numpy.arcsin(numpy.sqrt(a)) | |
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50 | theta = numpy.arctan2(numpy.sin((lon2-lon1)*p)*numpy.cos(lat2*p), numpy.cos(lat1*p) | |
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51 | * numpy.sin(lat2*p)-numpy.sin(lat1*p)*numpy.cos(lat2*p)*numpy.cos((lon2-lon1)*p)) | |
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52 | theta = -theta + numpy.pi/2 | |
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53 | return r*numpy.cos(theta), r*numpy.sin(theta) | |
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54 | ||
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55 | ||
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56 | def km2deg(km): | |
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57 | ''' | |
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58 | Convert distance in km to degrees | |
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59 | ''' | |
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60 | ||
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61 | return numpy.rad2deg(km/EARTH_RADIUS) | |
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62 | ||
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63 | ||
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64 | def figpause(interval): | |
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65 | backend = plt.rcParams['backend'] | |
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66 | if backend in matplotlib.rcsetup.interactive_bk: | |
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67 | figManager = matplotlib._pylab_helpers.Gcf.get_active() | |
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68 | if figManager is not None: | |
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69 | canvas = figManager.canvas | |
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70 | if canvas.figure.stale: | |
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71 | canvas.draw() | |
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72 | try: | |
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73 | canvas.start_event_loop(interval) | |
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74 | except: | |
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75 | pass | |
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76 | return | |
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77 | ||
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78 | ||
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79 | def popup(message): | |
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80 | ''' | |
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81 | ''' | |
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82 | ||
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83 | fig = plt.figure(figsize=(12, 8), facecolor='r') | |
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84 | text = '\n'.join([s.strip() for s in message.split(':')]) | |
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85 | fig.text(0.01, 0.5, text, ha='left', va='center', | |
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86 | size='20', weight='heavy', color='w') | |
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87 | fig.show() | |
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88 | figpause(1000) | |
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89 | ||
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90 | ||
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91 | class Throttle(object): | |
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92 | ''' | |
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93 | Decorator that prevents a function from being called more than once every | |
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94 | time period. | |
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95 | To create a function that cannot be called more than once a minute, but | |
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96 | will sleep until it can be called: | |
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97 | @Throttle(minutes=1) | |
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98 | def foo(): | |
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99 | pass | |
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100 | ||
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101 | for i in range(10): | |
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102 | foo() | |
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103 | print "This function has run %s times." % i | |
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104 | ''' | |
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105 | ||
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106 | def __init__(self, seconds=0, minutes=0, hours=0): | |
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107 | self.throttle_period = datetime.timedelta( | |
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108 | seconds=seconds, minutes=minutes, hours=hours | |
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109 | ) | |
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110 | ||
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111 | self.time_of_last_call = datetime.datetime.min | |
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112 | ||
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113 | def __call__(self, fn): | |
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114 | @wraps(fn) | |
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115 | def wrapper(*args, **kwargs): | |
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116 | coerce = kwargs.pop('coerce', None) | |
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117 | if coerce: | |
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118 | self.time_of_last_call = datetime.datetime.now() | |
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119 | return fn(*args, **kwargs) | |
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120 | else: | |
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121 | now = datetime.datetime.now() | |
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122 | time_since_last_call = now - self.time_of_last_call | |
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123 | time_left = self.throttle_period - time_since_last_call | |
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124 | ||
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125 | if time_left > datetime.timedelta(seconds=0): | |
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126 | return | |
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127 | ||
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128 | self.time_of_last_call = datetime.datetime.now() | |
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129 | return fn(*args, **kwargs) | |
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130 | ||
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131 | return wrapper | |
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132 | ||
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133 | def apply_throttle(value): | |
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134 | ||
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135 | @Throttle(seconds=value) | |
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136 | def fnThrottled(fn): | |
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137 | fn() | |
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138 | ||
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139 | return fnThrottled | |
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140 | ||
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141 | @MPDecorator | |
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142 | class Plotter(ProcessingUnit): | |
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143 | ''' | |
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144 | Proccessing unit to handle plot operations | |
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145 | ''' | |
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146 | ||
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147 | def __init__(self): | |
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148 | ||
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149 | ProcessingUnit.__init__(self) | |
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150 | ||
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151 | def setup(self, **kwargs): | |
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152 | ||
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153 | self.connections = 0 | |
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154 | self.web_address = kwargs.get('web_server', False) | |
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155 | self.realtime = kwargs.get('realtime', False) | |
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156 | self.localtime = kwargs.get('localtime', True) | |
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157 | self.buffering = kwargs.get('buffering', True) | |
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158 | self.throttle = kwargs.get('throttle', 2) | |
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159 | self.exp_code = kwargs.get('exp_code', None) | |
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160 | self.set_ready = apply_throttle(self.throttle) | |
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161 | self.dates = [] | |
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162 | self.data = PlotterData( | |
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163 | self.plots, self.throttle, self.exp_code, self.buffering) | |
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164 | self.isConfig = True | |
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165 | ||
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166 | def ready(self): | |
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167 | ''' | |
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168 | Set dataOut ready | |
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169 | ''' | |
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170 | ||
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171 | self.data.ready = True | |
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172 | self.dataOut.data_plt = self.data | |
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173 | ||
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174 | def run(self, realtime=True, localtime=True, buffering=True, | |
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175 | throttle=2, exp_code=None, web_server=None): | |
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176 | ||
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177 | if not self.isConfig: | |
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178 | self.setup(realtime=realtime, localtime=localtime, | |
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179 | buffering=buffering, throttle=throttle, exp_code=exp_code, | |
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180 | web_server=web_server) | |
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181 | ||
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182 | if self.web_address: | |
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183 | log.success( | |
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184 | 'Sending to web: {}'.format(self.web_address), | |
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185 | self.name | |
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186 | ) | |
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187 | self.context = zmq.Context() | |
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188 | self.sender_web = self.context.socket(zmq.REQ) | |
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189 | self.sender_web.connect(self.web_address) | |
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190 | self.poll = zmq.Poller() | |
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191 | self.poll.register(self.sender_web, zmq.POLLIN) | |
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192 | time.sleep(1) | |
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193 | ||
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194 | # t = Thread(target=self.event_monitor, args=(monitor,)) | |
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195 | # t.start() | |
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196 | ||
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197 | self.dataOut = self.dataIn | |
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198 | self.data.ready = False | |
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199 | ||
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200 | if self.dataOut.flagNoData: | |
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201 | coerce = True | |
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202 | else: | |
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203 | coerce = False | |
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204 | ||
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205 | if self.dataOut.type == 'Parameters': | |
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206 | tm = self.dataOut.utctimeInit | |
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207 | else: | |
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208 | tm = self.dataOut.utctime | |
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209 | if self.dataOut.useLocalTime: | |
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210 | if not self.localtime: | |
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211 | tm += time.timezone | |
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212 | dt = datetime.datetime.fromtimestamp(tm).date() | |
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213 | else: | |
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214 | if self.localtime: | |
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215 | tm -= time.timezone | |
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216 | dt = datetime.datetime.utcfromtimestamp(tm).date() | |
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217 | if dt not in self.dates: | |
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218 | if self.data: | |
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219 | self.ready() | |
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220 | self.data.setup() | |
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221 | self.dates.append(dt) | |
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222 | ||
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223 | self.data.update(self.dataOut, tm) | |
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224 | ||
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225 | if False: # TODO check when publishers ends | |
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226 | self.connections -= 1 | |
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227 | if self.connections == 0 and dt in self.dates: | |
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228 | self.data.ended = True | |
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229 | self.ready() | |
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230 | time.sleep(1) | |
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231 | else: | |
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232 | if self.realtime: | |
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233 | self.ready() | |
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234 | if self.web_address: | |
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235 | retries = 5 | |
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236 | while True: | |
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237 | self.sender_web.send(self.data.jsonify()) | |
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238 | socks = dict(self.poll.poll(5000)) | |
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239 | if socks.get(self.sender_web) == zmq.POLLIN: | |
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240 | reply = self.sender_web.recv_string() | |
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241 | if reply == 'ok': | |
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242 | log.log("Response from server ok", self.name) | |
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243 | break | |
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244 | else: | |
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245 | log.warning( | |
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246 | "Malformed reply from server: {}".format(reply), self.name) | |
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247 | ||
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248 | else: | |
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249 | log.warning( | |
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250 | "No response from server, retrying...", self.name) | |
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251 | self.sender_web.setsockopt(zmq.LINGER, 0) | |
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252 | self.sender_web.close() | |
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253 | self.poll.unregister(self.sender_web) | |
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254 | retries -= 1 | |
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255 | if retries == 0: | |
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256 | log.error( | |
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257 | "Server seems to be offline, abandoning", self.name) | |
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258 | self.sender_web = self.context.socket(zmq.REQ) | |
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259 | self.sender_web.connect(self.web_address) | |
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260 | self.poll.register(self.sender_web, zmq.POLLIN) | |
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261 | time.sleep(1) | |
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262 | break | |
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263 | self.sender_web = self.context.socket(zmq.REQ) | |
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264 | self.sender_web.connect(self.web_address) | |
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265 | self.poll.register(self.sender_web, zmq.POLLIN) | |
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266 | time.sleep(1) | |
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267 | else: | |
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268 | self.set_ready(self.ready, coerce=coerce) | |
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269 | ||
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270 | return | |
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271 | ||
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272 | def close(self): | |
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273 | pass | |
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274 | ||
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275 | ||
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276 | @MPDecorator | |
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277 | class Plot(Operation): | |
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278 | ''' | |
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279 | Base class for Schain plotting operations | |
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280 | ''' | |
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281 | ||
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282 | CODE = 'Figure' | |
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283 | colormap = 'jro' | |
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284 | bgcolor = 'white' | |
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285 | __missing = 1E30 | |
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286 | ||
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287 | __attrs__ = ['show', 'save', 'xmin', 'xmax', 'ymin', 'ymax', 'zmin', 'zmax', | |
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288 | 'zlimits', 'xlabel', 'ylabel', 'xaxis', 'cb_label', 'title', | |
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289 | 'colorbar', 'bgcolor', 'width', 'height', 'localtime', 'oneFigure', | |
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290 | 'showprofile', 'decimation', 'pause'] | |
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291 | ||
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292 | def __init__(self): | |
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293 | ||
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294 | Operation.__init__(self) | |
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295 | self.isConfig = False | |
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296 | self.isPlotConfig = False | |
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297 | ||
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298 | def __fmtTime(self, x, pos): | |
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299 | ''' | |
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300 | ''' | |
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301 | ||
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302 | return '{}'.format(self.getDateTime(x).strftime('%H:%M')) | |
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303 | ||
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304 | def __setup(self, **kwargs): | |
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305 | ''' | |
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306 | Initialize variables | |
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307 | ''' | |
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308 | ||
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309 | self.figures = [] | |
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310 | self.axes = [] | |
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311 | self.cb_axes = [] | |
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312 | self.localtime = kwargs.pop('localtime', True) | |
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313 | self.show = kwargs.get('show', True) | |
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314 | self.save = kwargs.get('save', False) | |
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315 | self.ftp = kwargs.get('ftp', False) | |
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316 | self.colormap = kwargs.get('colormap', self.colormap) | |
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317 | self.colormap_coh = kwargs.get('colormap_coh', 'jet') | |
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318 | self.colormap_phase = kwargs.get('colormap_phase', 'RdBu_r') | |
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319 | self.colormaps = kwargs.get('colormaps', None) | |
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320 | self.bgcolor = kwargs.get('bgcolor', self.bgcolor) | |
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321 | self.showprofile = kwargs.get('showprofile', False) | |
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322 | self.title = kwargs.get('wintitle', self.CODE.upper()) | |
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323 | self.cb_label = kwargs.get('cb_label', None) | |
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324 | self.cb_labels = kwargs.get('cb_labels', None) | |
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325 | self.labels = kwargs.get('labels', None) | |
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326 | self.xaxis = kwargs.get('xaxis', 'frequency') | |
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327 | self.zmin = kwargs.get('zmin', None) | |
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328 | self.zmax = kwargs.get('zmax', None) | |
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329 | self.zlimits = kwargs.get('zlimits', None) | |
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330 | self.xmin = kwargs.get('xmin', None) | |
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331 | self.xmax = kwargs.get('xmax', None) | |
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332 | self.xrange = kwargs.get('xrange', 12) | |
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333 | self.xscale = kwargs.get('xscale', None) | |
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334 | self.ymin = kwargs.get('ymin', None) | |
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335 | self.ymax = kwargs.get('ymax', None) | |
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336 | self.yscale = kwargs.get('yscale', None) | |
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337 | self.xlabel = kwargs.get('xlabel', None) | |
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338 | self.decimation = kwargs.get('decimation', None) | |
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339 | self.showSNR = kwargs.get('showSNR', False) | |
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340 | self.oneFigure = kwargs.get('oneFigure', True) | |
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341 | self.width = kwargs.get('width', None) | |
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342 | self.height = kwargs.get('height', None) | |
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343 | self.colorbar = kwargs.get('colorbar', True) | |
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344 | self.factors = kwargs.get('factors', [1, 1, 1, 1, 1, 1, 1, 1]) | |
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345 | self.channels = kwargs.get('channels', None) | |
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346 | self.titles = kwargs.get('titles', []) | |
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347 | self.polar = False | |
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348 | self.grid = kwargs.get('grid', False) | |
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349 | self.pause = kwargs.get('pause', False) | |
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350 | self.save_labels = kwargs.get('save_labels', None) | |
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351 | self.realtime = kwargs.get('realtime', True) | |
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352 | self.buffering = kwargs.get('buffering', True) | |
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353 | self.throttle = kwargs.get('throttle', 2) | |
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354 | self.exp_code = kwargs.get('exp_code', None) | |
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355 | self.__throttle_plot = apply_throttle(self.throttle) | |
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356 | self.data = PlotterData( | |
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357 | self.CODE, self.throttle, self.exp_code, self.buffering) | |
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358 | ||
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359 | def __setup_plot(self): | |
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360 | ''' | |
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361 | Common setup for all figures, here figures and axes are created | |
|
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362 | ''' | |
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363 | ||
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364 | self.setup() | |
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365 | ||
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366 | self.time_label = 'LT' if self.localtime else 'UTC' | |
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367 | if self.data.localtime: | |
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368 | self.getDateTime = datetime.datetime.fromtimestamp | |
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369 | else: | |
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370 | self.getDateTime = datetime.datetime.utcfromtimestamp | |
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371 | ||
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372 | if self.width is None: | |
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373 | self.width = 8 | |
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374 | ||
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375 | self.figures = [] | |
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376 | self.axes = [] | |
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377 | self.cb_axes = [] | |
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378 | self.pf_axes = [] | |
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379 | self.cmaps = [] | |
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380 | ||
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381 | size = '15%' if self.ncols == 1 else '30%' | |
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382 | pad = '4%' if self.ncols == 1 else '8%' | |
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383 | ||
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384 | if self.oneFigure: | |
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385 | if self.height is None: | |
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386 | self.height = 1.4 * self.nrows + 1 | |
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387 | fig = plt.figure(figsize=(self.width, self.height), | |
|
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388 | edgecolor='k', | |
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389 | facecolor='w') | |
|
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390 | self.figures.append(fig) | |
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391 | for n in range(self.nplots): | |
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392 | ax = fig.add_subplot(self.nrows, self.ncols, | |
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393 | n + 1, polar=self.polar) | |
|
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394 | ax.tick_params(labelsize=8) | |
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395 | ax.firsttime = True | |
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396 | ax.index = 0 | |
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|
397 | ax.press = None | |
|
|
398 | self.axes.append(ax) | |
|
|
399 | if self.showprofile: | |
|
|
400 | cax = self.__add_axes(ax, size=size, pad=pad) | |
|
|
401 | cax.tick_params(labelsize=8) | |
|
|
402 | self.pf_axes.append(cax) | |
|
|
403 | else: | |
|
|
404 | if self.height is None: | |
|
|
405 | self.height = 3 | |
|
|
406 | for n in range(self.nplots): | |
|
|
407 | fig = plt.figure(figsize=(self.width, self.height), | |
|
|
408 | edgecolor='k', | |
|
|
409 | facecolor='w') | |
|
|
410 | ax = fig.add_subplot(1, 1, 1, polar=self.polar) | |
|
|
411 | ax.tick_params(labelsize=8) | |
|
|
412 | ax.firsttime = True | |
|
|
413 | ax.index = 0 | |
|
|
414 | ax.press = None | |
|
|
415 | self.figures.append(fig) | |
|
|
416 | self.axes.append(ax) | |
|
|
417 | if self.showprofile: | |
|
|
418 | cax = self.__add_axes(ax, size=size, pad=pad) | |
|
|
419 | cax.tick_params(labelsize=8) | |
|
|
420 | self.pf_axes.append(cax) | |
|
|
421 | ||
|
|
422 | for n in range(self.nrows): | |
|
|
423 | if self.colormaps is not None: | |
|
|
424 | cmap = plt.get_cmap(self.colormaps[n]) | |
|
|
425 | else: | |
|
|
426 | cmap = plt.get_cmap(self.colormap) | |
|
|
427 | cmap.set_bad(self.bgcolor, 1.) | |
|
|
428 | self.cmaps.append(cmap) | |
|
|
429 | ||
|
|
430 | for fig in self.figures: | |
|
|
431 | fig.canvas.mpl_connect('key_press_event', self.OnKeyPress) | |
|
|
432 | fig.canvas.mpl_connect('scroll_event', self.OnBtnScroll) | |
|
|
433 | fig.canvas.mpl_connect('button_press_event', self.onBtnPress) | |
|
|
434 | fig.canvas.mpl_connect('motion_notify_event', self.onMotion) | |
|
|
435 | fig.canvas.mpl_connect('button_release_event', self.onBtnRelease) | |
|
|
436 | if self.show: | |
|
|
437 | fig.show() | |
|
|
438 | ||
|
|
439 | def OnKeyPress(self, event): | |
|
|
440 | ''' | |
|
|
441 | Event for pressing keys (up, down) change colormap | |
|
|
442 | ''' | |
|
|
443 | ax = event.inaxes | |
|
|
444 | if ax in self.axes: | |
|
|
445 | if event.key == 'down': | |
|
|
446 | ax.index += 1 | |
|
|
447 | elif event.key == 'up': | |
|
|
448 | ax.index -= 1 | |
|
|
449 | if ax.index < 0: | |
|
|
450 | ax.index = len(CMAPS) - 1 | |
|
|
451 | elif ax.index == len(CMAPS): | |
|
|
452 | ax.index = 0 | |
|
|
453 | cmap = CMAPS[ax.index] | |
|
|
454 | ax.cbar.set_cmap(cmap) | |
|
|
455 | ax.cbar.draw_all() | |
|
|
456 | ax.plt.set_cmap(cmap) | |
|
|
457 | ax.cbar.patch.figure.canvas.draw() | |
|
|
458 | self.colormap = cmap.name | |
|
|
459 | ||
|
|
460 | def OnBtnScroll(self, event): | |
|
|
461 | ''' | |
|
|
462 | Event for scrolling, scale figure | |
|
|
463 | ''' | |
|
|
464 | cb_ax = event.inaxes | |
|
|
465 | if cb_ax in [ax.cbar.ax for ax in self.axes if ax.cbar]: | |
|
|
466 | ax = [ax for ax in self.axes if cb_ax == ax.cbar.ax][0] | |
|
|
467 | pt = ax.cbar.ax.bbox.get_points()[:, 1] | |
|
|
468 | nrm = ax.cbar.norm | |
|
|
469 | vmin, vmax, p0, p1, pS = ( | |
|
|
470 | nrm.vmin, nrm.vmax, pt[0], pt[1], event.y) | |
|
|
471 | scale = 2 if event.step == 1 else 0.5 | |
|
|
472 | point = vmin + (vmax - vmin) / (p1 - p0) * (pS - p0) | |
|
|
473 | ax.cbar.norm.vmin = point - scale * (point - vmin) | |
|
|
474 | ax.cbar.norm.vmax = point - scale * (point - vmax) | |
|
|
475 | ax.plt.set_norm(ax.cbar.norm) | |
|
|
476 | ax.cbar.draw_all() | |
|
|
477 | ax.cbar.patch.figure.canvas.draw() | |
|
|
478 | ||
|
|
479 | def onBtnPress(self, event): | |
|
|
480 | ''' | |
|
|
481 | Event for mouse button press | |
|
|
482 | ''' | |
|
|
483 | cb_ax = event.inaxes | |
|
|
484 | if cb_ax is None: | |
|
|
485 | return | |
|
|
486 | ||
|
|
487 | if cb_ax in [ax.cbar.ax for ax in self.axes if ax.cbar]: | |
|
|
488 | cb_ax.press = event.x, event.y | |
|
|
489 | else: | |
|
|
490 | cb_ax.press = None | |
|
|
491 | ||
|
|
492 | def onMotion(self, event): | |
|
|
493 | ''' | |
|
|
494 | Event for move inside colorbar | |
|
|
495 | ''' | |
|
|
496 | cb_ax = event.inaxes | |
|
|
497 | if cb_ax is None: | |
|
|
498 | return | |
|
|
499 | if cb_ax not in [ax.cbar.ax for ax in self.axes if ax.cbar]: | |
|
|
500 | return | |
|
|
501 | if cb_ax.press is None: | |
|
|
502 | return | |
|
|
503 | ||
|
|
504 | ax = [ax for ax in self.axes if cb_ax == ax.cbar.ax][0] | |
|
|
505 | xprev, yprev = cb_ax.press | |
|
|
506 | dx = event.x - xprev | |
|
|
507 | dy = event.y - yprev | |
|
|
508 | cb_ax.press = event.x, event.y | |
|
|
509 | scale = ax.cbar.norm.vmax - ax.cbar.norm.vmin | |
|
|
510 | perc = 0.03 | |
|
|
511 | ||
|
|
512 | if event.button == 1: | |
|
|
513 | ax.cbar.norm.vmin -= (perc * scale) * numpy.sign(dy) | |
|
|
514 | ax.cbar.norm.vmax -= (perc * scale) * numpy.sign(dy) | |
|
|
515 | elif event.button == 3: | |
|
|
516 | ax.cbar.norm.vmin -= (perc * scale) * numpy.sign(dy) | |
|
|
517 | ax.cbar.norm.vmax += (perc * scale) * numpy.sign(dy) | |
|
|
518 | ||
|
|
519 | ax.cbar.draw_all() | |
|
|
520 | ax.plt.set_norm(ax.cbar.norm) | |
|
|
521 | ax.cbar.patch.figure.canvas.draw() | |
|
|
522 | ||
|
|
523 | def onBtnRelease(self, event): | |
|
|
524 | ''' | |
|
|
525 | Event for mouse button release | |
|
|
526 | ''' | |
|
|
527 | cb_ax = event.inaxes | |
|
|
528 | if cb_ax is not None: | |
|
|
529 | cb_ax.press = None | |
|
|
530 | ||
|
|
531 | def __add_axes(self, ax, size='30%', pad='8%'): | |
|
|
532 | ''' | |
|
|
533 | Add new axes to the given figure | |
|
|
534 | ''' | |
|
|
535 | divider = make_axes_locatable(ax) | |
|
|
536 | nax = divider.new_horizontal(size=size, pad=pad) | |
|
|
537 | ax.figure.add_axes(nax) | |
|
|
538 | return nax | |
|
|
539 | ||
|
|
540 | def setup(self): | |
|
|
541 | ''' | |
|
|
542 | This method should be implemented in the child class, the following | |
|
|
543 | attributes should be set: | |
|
|
544 | ||
|
|
545 | self.nrows: number of rows | |
|
|
546 | self.ncols: number of cols | |
|
|
547 | self.nplots: number of plots (channels or pairs) | |
|
|
548 | self.ylabel: label for Y axes | |
|
|
549 | self.titles: list of axes title | |
|
|
550 | ||
|
|
551 | ''' | |
|
|
552 | raise NotImplementedError | |
|
|
553 | ||
|
|
554 | def fill_gaps(self, x_buffer, y_buffer, z_buffer): | |
|
|
555 | ''' | |
|
|
556 | Create a masked array for missing data | |
|
|
557 | ''' | |
|
|
558 | if x_buffer.shape[0] < 2: | |
|
|
559 | return x_buffer, y_buffer, z_buffer | |
|
|
560 | ||
|
|
561 | deltas = x_buffer[1:] - x_buffer[0:-1] | |
|
|
562 | x_median = numpy.median(deltas) | |
|
|
563 | ||
|
|
564 | index = numpy.where(deltas > 5 * x_median) | |
|
|
565 | ||
|
|
566 | if len(index[0]) != 0: | |
|
|
567 | z_buffer[::, index[0], ::] = self.__missing | |
|
|
568 | z_buffer = numpy.ma.masked_inside(z_buffer, | |
|
|
569 | 0.99 * self.__missing, | |
|
|
570 | 1.01 * self.__missing) | |
|
|
571 | ||
|
|
572 | return x_buffer, y_buffer, z_buffer | |
|
|
573 | ||
|
|
574 | def decimate(self): | |
|
|
575 | ||
|
|
576 | # dx = int(len(self.x)/self.__MAXNUMX) + 1 | |
|
|
577 | dy = int(len(self.y) / self.decimation) + 1 | |
|
|
578 | ||
|
|
579 | # x = self.x[::dx] | |
|
|
580 | x = self.x | |
|
|
581 | y = self.y[::dy] | |
|
|
582 | z = self.z[::, ::, ::dy] | |
|
|
583 | ||
|
|
584 | return x, y, z | |
|
|
585 | ||
|
|
586 | def format(self): | |
|
|
587 | ''' | |
|
|
588 | Set min and max values, labels, ticks and titles | |
|
|
589 | ''' | |
|
|
590 | ||
|
|
591 | if self.xmin is None: | |
|
|
592 | xmin = self.data.min_time | |
|
|
593 | else: | |
|
|
594 | if self.xaxis is 'time': | |
|
|
595 | dt = self.getDateTime(self.data.min_time) | |
|
|
596 | xmin = (dt.replace(hour=int(self.xmin), minute=0, second=0) - | |
|
|
597 | datetime.datetime(1970, 1, 1)).total_seconds() | |
|
|
598 | if self.data.localtime: | |
|
|
599 | xmin += time.timezone | |
|
|
600 | else: | |
|
|
601 | xmin = self.xmin | |
|
|
602 | ||
|
|
603 | if self.xmax is None: | |
|
|
604 | xmax = xmin + self.xrange * 60 * 60 | |
|
|
605 | else: | |
|
|
606 | if self.xaxis is 'time': | |
|
|
607 | dt = self.getDateTime(self.data.max_time) | |
|
|
608 | xmax = (dt.replace(hour=int(self.xmax), minute=59, second=59) - | |
|
|
609 | datetime.datetime(1970, 1, 1) + datetime.timedelta(seconds=1)).total_seconds() | |
|
|
610 | if self.data.localtime: | |
|
|
611 | xmax += time.timezone | |
|
|
612 | else: | |
|
|
613 | xmax = self.xmax | |
|
|
614 | ||
|
|
615 | ymin = self.ymin if self.ymin else numpy.nanmin(self.y) | |
|
|
616 | ymax = self.ymax if self.ymax else numpy.nanmax(self.y) | |
|
|
617 | ||
|
|
618 | Y = numpy.array([1, 2, 5, 10, 20, 50, 100, 200, 500, 1000, 2000, 5000]) | |
|
|
619 | i = 1 if numpy.where( | |
|
|
620 | abs(ymax-ymin) <= Y)[0][0] < 0 else numpy.where(abs(ymax-ymin) <= Y)[0][0] | |
|
|
621 | ystep = Y[i] / 10. | |
|
|
622 | ||
|
|
623 | if self.xaxis is not 'time': | |
|
|
624 | X = numpy.array([1, 2, 5, 10, 20, 50, 100, | |
|
|
625 | 200, 500, 1000, 2000, 5000])/2. | |
|
|
626 | i = 1 if numpy.where( | |
|
|
627 | abs(xmax-xmin) <= X)[0][0] < 0 else numpy.where(abs(xmax-xmin) <= X)[0][0] | |
|
|
628 | xstep = X[i] / 10. | |
|
|
629 | ||
|
|
630 | for n, ax in enumerate(self.axes): | |
|
|
631 | if ax.firsttime: | |
|
|
632 | ax.set_facecolor(self.bgcolor) | |
|
|
633 | ax.yaxis.set_major_locator(MultipleLocator(ystep)) | |
|
|
634 | if self.xscale: | |
|
|
635 | ax.xaxis.set_major_formatter(FuncFormatter( | |
|
|
636 | lambda x, pos: '{0:g}'.format(x*self.xscale))) | |
|
|
637 | if self.xscale: | |
|
|
638 | ax.yaxis.set_major_formatter(FuncFormatter( | |
|
|
639 | lambda x, pos: '{0:g}'.format(x*self.yscale))) | |
|
|
640 | if self.xaxis is 'time': | |
|
|
641 | ax.xaxis.set_major_formatter(FuncFormatter(self.__fmtTime)) | |
|
|
642 | ax.xaxis.set_major_locator(LinearLocator(9)) | |
|
|
643 | else: | |
|
|
644 | ax.xaxis.set_major_locator(MultipleLocator(xstep)) | |
|
|
645 | if self.xlabel is not None: | |
|
|
646 | ax.set_xlabel(self.xlabel) | |
|
|
647 | ax.set_ylabel(self.ylabel) | |
|
|
648 | ax.firsttime = False | |
|
|
649 | if self.showprofile: | |
|
|
650 | self.pf_axes[n].set_ylim(ymin, ymax) | |
|
|
651 | self.pf_axes[n].set_xlim(self.zmin, self.zmax) | |
|
|
652 | self.pf_axes[n].set_xlabel('dB') | |
|
|
653 | self.pf_axes[n].grid(b=True, axis='x') | |
|
|
654 | [tick.set_visible(False) | |
|
|
655 | for tick in self.pf_axes[n].get_yticklabels()] | |
|
|
656 | if self.colorbar: | |
|
|
657 | ax.cbar = plt.colorbar( | |
|
|
658 | ax.plt, ax=ax, fraction=0.05, pad=0.02, aspect=10) | |
|
|
659 | ax.cbar.ax.tick_params(labelsize=8) | |
|
|
660 | ax.cbar.ax.press = None | |
|
|
661 | if self.cb_label: | |
|
|
662 | ax.cbar.set_label(self.cb_label, size=8) | |
|
|
663 | elif self.cb_labels: | |
|
|
664 | ax.cbar.set_label(self.cb_labels[n], size=8) | |
|
|
665 | else: | |
|
|
666 | ax.cbar = None | |
|
|
667 | if self.grid: | |
|
|
668 | ax.grid(True) | |
|
|
669 | ||
|
|
670 | if not self.polar: | |
|
|
671 | ax.set_xlim(xmin, xmax) | |
|
|
672 | ax.set_ylim(ymin, ymax) | |
|
|
673 | ax.set_title('{} {} {}'.format( | |
|
|
674 | self.titles[n], | |
|
|
675 | self.getDateTime(self.data.max_time).strftime( | |
|
|
676 | '%Y-%m-%dT%H:%M:%S'), | |
|
|
677 | self.time_label), | |
|
|
678 | size=8) | |
|
|
679 | else: | |
|
|
680 | ax.set_title('{}'.format(self.titles[n]), size=8) | |
|
|
681 | ax.set_ylim(0, 90) | |
|
|
682 | ax.set_yticks(numpy.arange(0, 90, 20)) | |
|
|
683 | ax.yaxis.labelpad = 40 | |
|
|
684 | ||
|
|
685 | def clear_figures(self): | |
|
|
686 | ''' | |
|
|
687 | Reset axes for redraw plots | |
|
|
688 | ''' | |
|
|
689 | ||
|
|
690 | for ax in self.axes: | |
|
|
691 | ax.clear() | |
|
|
692 | ax.firsttime = True | |
|
|
693 | if ax.cbar: | |
|
|
694 | ax.cbar.remove() | |
|
|
695 | ||
|
|
696 | def __plot(self): | |
|
|
697 | ''' | |
|
|
698 | Main function to plot, format and save figures | |
|
|
699 | ''' | |
|
|
700 | ||
|
|
701 | #try: | |
|
|
702 | self.plot() | |
|
|
703 | self.format() | |
|
|
704 | #except Exception as e: | |
|
|
705 | # log.warning('{} Plot could not be updated... check data'.format( | |
|
|
706 | # self.CODE), self.name) | |
|
|
707 | # log.error(str(e), '') | |
|
|
708 | # return | |
|
|
709 | ||
|
|
710 | for n, fig in enumerate(self.figures): | |
|
|
711 | if self.nrows == 0 or self.nplots == 0: | |
|
|
712 | log.warning('No data', self.name) | |
|
|
713 | fig.text(0.5, 0.5, 'No Data', fontsize='large', ha='center') | |
|
|
714 | fig.canvas.manager.set_window_title(self.CODE) | |
|
|
715 | continue | |
|
|
716 | ||
|
|
717 | fig.tight_layout() | |
|
|
718 | fig.canvas.manager.set_window_title('{} - {}'.format(self.title, | |
|
|
719 | self.getDateTime(self.data.max_time).strftime('%Y/%m/%d'))) | |
|
|
720 | fig.canvas.draw() | |
|
|
721 | ||
|
|
722 | if self.save: | |
|
|
723 | ||
|
|
724 | if self.save_labels: | |
|
|
725 | labels = self.save_labels | |
|
|
726 | else: | |
|
|
727 | labels = list(range(self.nrows)) | |
|
|
728 | ||
|
|
729 | if self.oneFigure: | |
|
|
730 | label = '' | |
|
|
731 | else: | |
|
|
732 | label = '-{}'.format(labels[n]) | |
|
|
733 | figname = os.path.join( | |
|
|
734 | self.save, | |
|
|
735 | self.CODE, | |
|
|
736 | '{}{}_{}.png'.format( | |
|
|
737 | self.CODE, | |
|
|
738 | label, | |
|
|
739 | self.getDateTime(self.data.max_time).strftime( | |
|
|
740 | '%Y%m%d_%H%M%S'), | |
|
|
741 | ) | |
|
|
742 | ) | |
|
|
743 | log.log('Saving figure: {}'.format(figname), self.name) | |
|
|
744 | if not os.path.isdir(os.path.dirname(figname)): | |
|
|
745 | os.makedirs(os.path.dirname(figname)) | |
|
|
746 | fig.savefig(figname) | |
|
|
747 | ||
|
|
748 | def plot(self): | |
|
|
749 | ''' | |
|
|
750 | Must be defined in the child class | |
|
|
751 | ''' | |
|
|
752 | raise NotImplementedError | |
|
|
753 | ||
|
|
754 | def run(self, dataOut, **kwargs): | |
|
|
755 | ||
|
|
756 | if dataOut.flagNoData and not dataOut.error: | |
|
|
757 | return dataOut | |
|
|
758 | ||
|
|
759 | if dataOut.error: | |
|
|
760 | coerce = True | |
|
|
761 | else: | |
|
|
762 | coerce = False | |
|
|
763 | ||
|
|
764 | if self.isConfig is False: | |
|
|
765 | self.__setup(**kwargs) | |
|
|
766 | self.data.setup() | |
|
|
767 | self.isConfig = True | |
|
|
768 | ||
|
|
769 | if dataOut.type == 'Parameters': | |
|
|
770 | tm = dataOut.utctimeInit | |
|
|
771 | else: | |
|
|
772 | tm = dataOut.utctime | |
|
|
773 | ||
|
|
774 | if dataOut.useLocalTime: | |
|
|
775 | if not self.localtime: | |
|
|
776 | tm += time.timezone | |
|
|
777 | else: | |
|
|
778 | if self.localtime: | |
|
|
779 | tm -= time.timezone | |
|
|
780 | ||
|
|
781 | if self.data and (tm - self.data.min_time) >= self.xrange*60*60: | |
|
|
782 | self.__plot() | |
|
|
783 | self.data.setup() | |
|
|
784 | self.clear_figures() | |
|
|
785 | ||
|
|
786 | self.data.update(dataOut, tm) | |
|
|
787 | ||
|
|
788 | if self.isPlotConfig is False: | |
|
|
789 | self.__setup_plot() | |
|
|
790 | self.isPlotConfig = True | |
|
|
791 | ||
|
|
792 | if self.realtime: | |
|
|
793 | self.__plot() | |
|
|
794 | else: | |
|
|
795 | self.__throttle_plot(self.__plot, coerce=coerce) | |
|
|
796 | ||
|
|
797 | figpause(0.001) | |
|
|
798 | ||
|
|
799 | def close(self): | |
|
|
800 | ||
|
|
801 | if self.data and self.pause: | |
|
|
802 | figpause(10) | |
|
|
803 | ||
| @@ -1,112 +1,119 | |||
|
|
1 | 1 | ## CHANGELOG: |
|
|
2 | 2 | |
|
|
3 | ### 3.0 | |
|
|
4 | * Python 3.x compatible | |
|
|
5 | * New architecture with multiprocessing and IPC communication | |
|
|
6 | * Add @MPDecorator for multiprocessing Units and Operations | |
|
|
7 | * Added new type of operation `external` for non-locking operations | |
|
|
8 | * New plotting architecture with buffering/throttle capabilities to speed up plots | |
|
|
9 | ||
|
|
3 | 10 | ### 2.3 |
|
|
4 | 11 | * Added support for Madrigal formats (reading/writing). |
|
|
5 | 12 | * Added support for reading BLTR parameters (*.sswma). |
|
|
6 | 13 | * Added support for reading Julia format (*.dat). |
|
|
7 | 14 | * Added high order function `MPProject` for multiprocessing scripts. |
|
|
8 | 15 | * Added two new Processing Units `PublishData` and `ReceiverData` for receiving and sending dataOut through multiple ways (tcp, ipc, inproc). |
|
|
9 | 16 | * Added a new graphics Processing Unit `PlotterReceiver`. It is decoupled from normal processing sequence with support for data generated by multiprocessing scripts. |
|
|
10 | 17 | * Added support for sending realtime graphic to web server. |
|
|
11 | 18 | * GUI command `schain` is now `schainGUI`. |
|
|
12 | 19 | * Added a CLI tool named `schain`. |
|
|
13 | 20 | * Scripts templates can be now generated with `schain generate`. |
|
|
14 | 21 | * Now it is possible to search Processing Units and Operations with `schain search [module]` to get the right name and its allowed parameters. |
|
|
15 | 22 | * `schain xml` to run xml scripts. |
|
|
16 | 23 | * Added suggestions when parameters are poorly written. |
|
|
17 | 24 | * `Controller.start()` now runs in a different process than the process calling it. |
|
|
18 | 25 | * Added `schainpy.utils.log` for log standarization. |
|
|
19 | 26 | * Running script on online mode no longer ignores date and hour. Issue #1109. |
|
|
20 | 27 | * Added support for receving voltage data directly from JARS (tcp, ipc). |
|
|
21 | 28 | * Updated README for MAC OS GUI installation. |
|
|
22 | 29 | * Setup now installs numpy. |
|
|
23 | 30 | |
|
|
24 | 31 | ### 2.2.6 |
|
|
25 | 32 | * Graphics generated by the GUI are now the same as generated by scripts. Issue #1074. |
|
|
26 | 33 | * Added support for C extensions. |
|
|
27 | 34 | * Function `hildebrand_sehkon` optimized with a C wrapper. |
|
|
28 | 35 | * Numpy version updated. |
|
|
29 | 36 | * Migration to GIT. |
|
|
30 | 37 | |
|
|
31 | 38 | ### 2.2.5: |
|
|
32 | 39 | * splitProfiles and combineProfiles modules were added to VoltageProc and Signal Chain GUI. |
|
|
33 | 40 | * nProfiles of USRP data (hdf5) is the number of profiles thera are in one second. |
|
|
34 | 41 | * jroPlotter works directly with data objects instead of dictionaries |
|
|
35 | 42 | * script "schain" was added to Signal Chain installer |
|
|
36 | 43 | |
|
|
37 | 44 | ### 2.2.4.1: |
|
|
38 | 45 | * jroIO_usrp.py is update to read Sandra's data |
|
|
39 | 46 | * decimation in Spectra and RTI plots is always enabled. |
|
|
40 | 47 | * time* window option added to GUI |
|
|
41 | 48 | |
|
|
42 | 49 | ### 2.2.4: |
|
|
43 | 50 | * jroproc_spectra_lags.py added to schainpy |
|
|
44 | 51 | * Bug fixed in schainGUI: ProcUnit was created with the same id in some cases. |
|
|
45 | 52 | * Bug fixed in jroHeaderIO: Header size validation. |
|
|
46 | 53 | |
|
|
47 | 54 | ### 2.2.3.1: |
|
|
48 | 55 | * Filtering block by time has been added. |
|
|
49 | 56 | * Bug fixed plotting RTI, CoherenceMap and others using xmin and xmax parameters. The first day worked |
|
|
50 | 57 | properly but the next days did not. |
|
|
51 | 58 | |
|
|
52 | 59 | ### 2.2.3: |
|
|
53 | 60 | * Bug fixed in GUI: Error getting(reading) Code value |
|
|
54 | 61 | * Bug fixed in GUI: Flip option always needs channelList field |
|
|
55 | 62 | * Bug fixed in jrodata: when one branch modified a value in "dataOut" (example: dataOut.code) this value |
|
|
56 | 63 | was modified for every branch (because this was a reference). It was modified in data.copy() |
|
|
57 | 64 | * Bug fixed in jroproc_voltage.profileSelector(): rangeList replaces to profileRangeList. |
|
|
58 | 65 | |
|
|
59 | 66 | ### 2.2.2: |
|
|
60 | 67 | * VoltageProc: ProfileSelector, Reshape, Decoder with nTxs!=1 and getblock=True was tested |
|
|
61 | 68 | * Rawdata and testRawdata.py added to Signal Chain project |
|
|
62 | 69 | |
|
|
63 | 70 | ### 2.2.1: |
|
|
64 | 71 | * Bugs fixed in GUI |
|
|
65 | 72 | * Views were improved in GUI |
|
|
66 | 73 | * Support to MST* ISR experiments |
|
|
67 | 74 | * Bug fixed getting noise using hyldebrant. (minimum number of points > 20%) |
|
|
68 | 75 | * handleError added to jroplotter.py |
|
|
69 | 76 | |
|
|
70 | 77 | ### 2.2.0: |
|
|
71 | 78 | * GUI: use of external plotter |
|
|
72 | 79 | * Compatible with matplotlib 1.5.0 |
|
|
73 | 80 | |
|
|
74 | 81 | ### 2.1.5: |
|
|
75 | 82 | * serializer module added to Signal Chain |
|
|
76 | 83 | * jroplotter.py added to Signal Chain |
|
|
77 | 84 | |
|
|
78 | 85 | ### 2.1.4.2: |
|
|
79 | 86 | * A new Plotter Class was added |
|
|
80 | 87 | * Project.start() does not accept filename as a parameter anymore |
|
|
81 | 88 | |
|
|
82 | 89 | ### 2.1.4.1: |
|
|
83 | 90 | * Send notifications when an error different to ValueError is detected |
|
|
84 | 91 | |
|
|
85 | 92 | ### 2.1.4: |
|
|
86 | 93 | * Sending error notifications to signal chain administrator |
|
|
87 | 94 | * Login to email server added |
|
|
88 | 95 | |
|
|
89 | 96 | ### 2.1.3.3: |
|
|
90 | 97 | * Colored Button Icons were added to GUI |
|
|
91 | 98 | |
|
|
92 | 99 | ### 2.1.3.2: |
|
|
93 | 100 | * GUI: user interaction enhanced |
|
|
94 | 101 | * controller_api.py: Safe access to ControllerThead |
|
|
95 | 102 | |
|
|
96 | 103 | ### 2.1.3.1: |
|
|
97 | 104 | * GUI: every icon were resized |
|
|
98 | 105 | * jroproc_voltage.py: Print a message when "Read from code" option is selected and the code is not defined inside data file |
|
|
99 | 106 | |
|
|
100 | 107 | ### 2.1.3: |
|
|
101 | 108 | * jroplot_heispectra.py: SpectraHeisScope was not showing the right channels |
|
|
102 | 109 | * jroproc_voltage.py: Bug fixed selecting profiles (self.nProfiles took a wrong value), |
|
|
103 | 110 | Bug fixed selecting heights by block (selecting profiles instead heights) |
|
|
104 | 111 | * jroproc_voltage.py: New feature added: decoding data by block using FFT. |
|
|
105 | 112 | * jroIO_heispectra.py: Bug fixed in FitsReader. Using local Fits instance instead schainpy.mode.data.jrodata.Fits. |
|
|
106 | 113 | * jroIO_heispectra.py: Channel index list does not exist. |
|
|
107 | 114 | |
|
|
108 | 115 | ### 2.1.2: |
|
|
109 | 116 | * jroutils_ftp.py: Bug fixed, Any error sending file stopped the Server Thread |
|
|
110 | 117 | Server thread opens and closes remote server each time file list is sent |
|
|
111 | 118 | * jroplot_spectra.py: Noise path was not being created when noise data is saved. |
|
|
112 | 119 | * jroIO_base.py: startTime can be greater than endTime. Example: SpreadF [18:00 * 07:00] No newline at end of file |
| @@ -1,506 +1,506 | |||
|
|
1 | 1 | """ |
|
|
2 | 2 | The admin module contains all administrative classes relating to the schain python api. |
|
|
3 | 3 | |
|
|
4 | 4 | The main role of this module is to send some reports. It contains a |
|
|
5 | 5 | notification class and a standard error handing class. |
|
|
6 | 6 | |
|
|
7 | 7 | $Id: admin.py 3966 2015-12-01 14:32:29Z miguel.urco $ |
|
|
8 | 8 | """ |
|
|
9 | 9 | import os |
|
|
10 | 10 | import sys |
|
|
11 | 11 | import time |
|
|
12 | 12 | import traceback |
|
|
13 | 13 | import smtplib |
|
|
14 | 14 | if sys.version[0] == '3': |
|
|
15 | 15 | from configparser import ConfigParser |
|
|
16 | 16 | else: |
|
|
17 | 17 | from ConfigParser import ConfigParser |
|
|
18 | 18 | import io |
|
|
19 | 19 | from threading import Thread |
|
|
20 | 20 | from multiprocessing import Process |
|
|
21 | 21 | from email.mime.text import MIMEText |
|
|
22 | 22 | from email.mime.application import MIMEApplication |
|
|
23 | 23 | from email.mime.multipart import MIMEMultipart |
|
|
24 | 24 | |
|
|
25 | 25 | import schainpy |
|
|
26 | 26 | from schainpy.utils import log |
|
|
27 |
from schainpy.model.graphics.jroplot_ |
|
|
|
27 | from schainpy.model.graphics.jroplot_base import popup | |
|
|
28 | 28 | |
|
|
29 | 29 | def get_path(): |
|
|
30 | 30 | ''' |
|
|
31 | 31 | Return schainpy path |
|
|
32 | 32 | ''' |
|
|
33 | 33 | |
|
|
34 | 34 | try: |
|
|
35 | 35 | root = __file__ |
|
|
36 | 36 | if os.path.islink(root): |
|
|
37 | 37 | root = os.path.realpath(root) |
|
|
38 | 38 | |
|
|
39 | 39 | return os.path.dirname(os.path.abspath(root)) |
|
|
40 | 40 | except: |
|
|
41 | 41 | log.error('I am sorry, but something is wrong... __file__ not found') |
|
|
42 | 42 | |
|
|
43 | 43 | class Alarm(Process): |
|
|
44 | 44 | ''' |
|
|
45 | 45 | modes: |
|
|
46 | 46 | 0 - All |
|
|
47 | 47 | 1 - Send email |
|
|
48 | 48 | 2 - Popup message |
|
|
49 | 49 | 3 - Sound alarm |
|
|
50 | 50 | 4 - Send to alarm system TODO |
|
|
51 | 51 | ''' |
|
|
52 | 52 | |
|
|
53 | 53 | def __init__(self, modes=[], **kwargs): |
|
|
54 | 54 | Process.__init__(self) |
|
|
55 | 55 | self.modes = modes |
|
|
56 | 56 | self.kwargs = kwargs |
|
|
57 | 57 | |
|
|
58 | 58 | @staticmethod |
|
|
59 | 59 | def play_sound(): |
|
|
60 | 60 | sound = os.path.join(get_path(), 'alarm1.oga') |
|
|
61 | 61 | if os.path.exists(sound): |
|
|
62 | 62 | for __ in range(2): |
|
|
63 | 63 | os.system('paplay {}'.format(sound)) |
|
|
64 | 64 | time.sleep(0.5) |
|
|
65 | 65 | else: |
|
|
66 | 66 | log.warning('Unable to play alarm, sound file not found', 'ADMIN') |
|
|
67 | 67 | |
|
|
68 | 68 | @staticmethod |
|
|
69 | 69 | def send_email(**kwargs): |
|
|
70 | 70 | notifier = SchainNotify() |
|
|
71 | 71 | print(kwargs) |
|
|
72 | 72 | notifier.notify(**kwargs) |
|
|
73 | 73 | |
|
|
74 | 74 | @staticmethod |
|
|
75 | 75 | def show_popup(message): |
|
|
76 | 76 | if isinstance(message, list): |
|
|
77 | 77 | message = message[-1] |
|
|
78 | 78 | popup(message) |
|
|
79 | 79 | |
|
|
80 | 80 | @staticmethod |
|
|
81 | 81 | def send_alarm(): |
|
|
82 | 82 | pass |
|
|
83 | 83 | |
|
|
84 | 84 | @staticmethod |
|
|
85 | 85 | def get_kwargs(kwargs, keys): |
|
|
86 | 86 | ret = {} |
|
|
87 | 87 | for key in keys: |
|
|
88 | 88 | ret[key] = kwargs[key] |
|
|
89 | 89 | return ret |
|
|
90 | 90 | |
|
|
91 | 91 | def run(self): |
|
|
92 | 92 | tasks = { |
|
|
93 | 93 | 1 : self.send_email, |
|
|
94 | 94 | 2 : self.show_popup, |
|
|
95 | 95 | 3 : self.play_sound, |
|
|
96 | 96 | 4 : self.send_alarm, |
|
|
97 | 97 | } |
|
|
98 | 98 | |
|
|
99 | 99 | tasks_args = { |
|
|
100 | 100 | 1: ['email', 'message', 'subject', 'subtitle', 'filename'], |
|
|
101 | 101 | 2: ['message'], |
|
|
102 | 102 | 3: [], |
|
|
103 | 103 | 4: [], |
|
|
104 | 104 | } |
|
|
105 | 105 | procs = [] |
|
|
106 | 106 | for mode in self.modes: |
|
|
107 | 107 | if 0 in self.modes: |
|
|
108 | 108 | for x in tasks: |
|
|
109 | 109 | t = Thread(target=tasks[x], kwargs=self.get_kwargs(self.kwargs, tasks_args[x])) |
|
|
110 | 110 | t.start() |
|
|
111 | 111 | procs.append(t) |
|
|
112 | 112 | break |
|
|
113 | 113 | else: |
|
|
114 | 114 | t = Thread(target=tasks[mode], kwargs=self.get_kwargs(self.kwargs, tasks_args[mode])) |
|
|
115 | 115 | t.start() |
|
|
116 | 116 | procs.append(t) |
|
|
117 | 117 | for t in procs: |
|
|
118 | 118 | t.join() |
|
|
119 | 119 | |
|
|
120 | 120 | |
|
|
121 | 121 | class SchainConfigure(): |
|
|
122 | 122 | |
|
|
123 | 123 | __DEFAULT_ADMINISTRATOR_EMAIL = "juan.espinoza@jro.igp.gob.pe" |
|
|
124 | 124 | __DEFAULT_EMAIL_SERVER = "jro-zimbra.igp.gob.pe" |
|
|
125 | 125 | __DEFAULT_SENDER_EMAIL = "notifier-schain@jro.igp.gob.pe" |
|
|
126 | 126 | __DEFAULT_SENDER_PASS = "" |
|
|
127 | 127 | |
|
|
128 | 128 | __SCHAIN_ADMINISTRATOR_EMAIL = "CONTACT" |
|
|
129 | 129 | __SCHAIN_EMAIL_SERVER = "MAILSERVER" |
|
|
130 | 130 | __SCHAIN_SENDER_EMAIL = "MAILSERVER_ACCOUNT" |
|
|
131 | 131 | __SCHAIN_SENDER_PASS = "MAILSERVER_PASSWORD" |
|
|
132 | 132 | |
|
|
133 | 133 | def __init__(self, initFile = None): |
|
|
134 | 134 | |
|
|
135 | 135 | # Set configuration file |
|
|
136 | 136 | if (initFile == None): |
|
|
137 | 137 | self.__confFilePath = "/etc/schain.conf" |
|
|
138 | 138 | else: |
|
|
139 | 139 | self.__confFilePath = initFile |
|
|
140 | 140 | |
|
|
141 | 141 | # open configuration file |
|
|
142 | 142 | try: |
|
|
143 | 143 | self.__confFile = open(self.__confFilePath, "r") |
|
|
144 | 144 | except IOError: |
|
|
145 | 145 | # can't read from file - use all hard-coded values |
|
|
146 | 146 | self.__initFromHardCode() |
|
|
147 | 147 | return |
|
|
148 | 148 | |
|
|
149 | 149 | # create Parser using standard module ConfigParser |
|
|
150 | 150 | self.__parser = ConfigParser() |
|
|
151 | 151 | |
|
|
152 | 152 | # read conf file into a StringIO with "[madrigal]\n" section heading prepended |
|
|
153 | 153 | strConfFile = io.StringIO("[schain]\n" + self.__confFile.read()) |
|
|
154 | 154 | |
|
|
155 | 155 | # parse StringIO configuration file |
|
|
156 | 156 | self.__parser.readfp(strConfFile) |
|
|
157 | 157 | |
|
|
158 | 158 | # read information from configuration file |
|
|
159 | 159 | self.__readConfFile() |
|
|
160 | 160 | |
|
|
161 | 161 | # close conf file |
|
|
162 | 162 | self.__confFile.close() |
|
|
163 | 163 | |
|
|
164 | 164 | |
|
|
165 | 165 | def __initFromHardCode(self): |
|
|
166 | 166 | |
|
|
167 | 167 | self.__sender_email = self.__DEFAULT_SENDER_EMAIL |
|
|
168 | 168 | self.__sender_pass = self.__DEFAULT_SENDER_PASS |
|
|
169 | 169 | self.__admin_email = self.__DEFAULT_ADMINISTRATOR_EMAIL |
|
|
170 | 170 | self.__email_server = self.__DEFAULT_EMAIL_SERVER |
|
|
171 | 171 | |
|
|
172 | 172 | def __readConfFile(self): |
|
|
173 | 173 | """__readConfFile is a private helper function that reads information from the parsed config file. |
|
|
174 | 174 | |
|
|
175 | 175 | Inputs: None |
|
|
176 | 176 | |
|
|
177 | 177 | Returns: Void. |
|
|
178 | 178 | |
|
|
179 | 179 | Affects: Initializes class member variables that are found in the config file. |
|
|
180 | 180 | |
|
|
181 | 181 | Exceptions: MadrigalError thrown if any key not found. |
|
|
182 | 182 | """ |
|
|
183 | 183 | |
|
|
184 | 184 | # get the sender email |
|
|
185 | 185 | try: |
|
|
186 | 186 | self.__sender_email = self.__parser.get("schain", self.__SCHAIN_SENDER_EMAIL) |
|
|
187 | 187 | except: |
|
|
188 | 188 | self.__sender_email = self.__DEFAULT_SENDER_EMAIL |
|
|
189 | 189 | |
|
|
190 | 190 | # get the sender password |
|
|
191 | 191 | try: |
|
|
192 | 192 | self.__sender_pass = self.__parser.get("schain", self.__SCHAIN_SENDER_PASS) |
|
|
193 | 193 | except: |
|
|
194 | 194 | self.__sender_pass = self.__DEFAULT_SENDER_PASS |
|
|
195 | 195 | |
|
|
196 | 196 | # get the administrator email |
|
|
197 | 197 | try: |
|
|
198 | 198 | self.__admin_email = self.__parser.get("schain", self.__SCHAIN_ADMINISTRATOR_EMAIL) |
|
|
199 | 199 | except: |
|
|
200 | 200 | self.__admin_email = self.__DEFAULT_ADMINISTRATOR_EMAIL |
|
|
201 | 201 | |
|
|
202 | 202 | # get the server email |
|
|
203 | 203 | try: |
|
|
204 | 204 | self.__email_server = self.__parser.get("schain", self.__SCHAIN_EMAIL_SERVER) |
|
|
205 | 205 | except: |
|
|
206 | 206 | self.__email_server = self.__DEFAULT_EMAIL_SERVER |
|
|
207 | 207 | |
|
|
208 | 208 | def getEmailServer(self): |
|
|
209 | 209 | |
|
|
210 | 210 | return self.__email_server |
|
|
211 | 211 | |
|
|
212 | 212 | def getSenderEmail(self): |
|
|
213 | 213 | |
|
|
214 | 214 | return self.__sender_email |
|
|
215 | 215 | |
|
|
216 | 216 | def getSenderPass(self): |
|
|
217 | 217 | |
|
|
218 | 218 | return self.__sender_pass |
|
|
219 | 219 | |
|
|
220 | 220 | def getAdminEmail(self): |
|
|
221 | 221 | |
|
|
222 | 222 | return self.__admin_email |
|
|
223 | 223 | |
|
|
224 | 224 | class SchainNotify: |
|
|
225 | 225 | """SchainNotify is an object used to send messages to an administrator about a Schain software. |
|
|
226 | 226 | |
|
|
227 | 227 | This object provides functions needed to send messages to an administrator about a Schain , for now |
|
|
228 | 228 | only sendAlert, which sends an email to the site administrator found is ADMIN_EMAIL |
|
|
229 | 229 | |
|
|
230 | 230 | Usage example: |
|
|
231 | 231 | |
|
|
232 | 232 | import schainpy.admin |
|
|
233 | 233 | |
|
|
234 | 234 | try: |
|
|
235 | 235 | |
|
|
236 | 236 | adminObj = schainpy.admin.SchainNotify() |
|
|
237 | 237 | adminObj.sendAlert('This is important!', 'Important Message') |
|
|
238 | 238 | |
|
|
239 | 239 | except schainpy.admin.SchainError, e: |
|
|
240 | 240 | |
|
|
241 | 241 | print e.getExceptionStr() |
|
|
242 | 242 | |
|
|
243 | 243 | |
|
|
244 | 244 | Non-standard Python modules used: |
|
|
245 | 245 | None |
|
|
246 | 246 | |
|
|
247 | 247 | Exceptions thrown: None - Note that SchainNotify tries every trick it knows to avoid |
|
|
248 | 248 | throwing exceptions, since this is the class that will generally be called when there is a problem. |
|
|
249 | 249 | |
|
|
250 | 250 | Change history: |
|
|
251 | 251 | |
|
|
252 | 252 | Written by "Miguel Urco":mailto:miguel.urco@jro.igp.gob.pe Dec. 1, 2015 |
|
|
253 | 253 | """ |
|
|
254 | 254 | |
|
|
255 | 255 | #constants |
|
|
256 | 256 | |
|
|
257 | 257 | def __init__(self): |
|
|
258 | 258 | """__init__ initializes SchainNotify by getting some basic information from SchainDB and SchainSite. |
|
|
259 | 259 | |
|
|
260 | 260 | Note that SchainNotify tries every trick it knows to avoid throwing exceptions, since |
|
|
261 | 261 | this is the class that will generally be called when there is a problem. |
|
|
262 | 262 | |
|
|
263 | 263 | Inputs: Existing SchainDB object, by default = None. |
|
|
264 | 264 | |
|
|
265 | 265 | Returns: void |
|
|
266 | 266 | |
|
|
267 | 267 | Affects: Initializes self.__binDir. |
|
|
268 | 268 | |
|
|
269 | 269 | Exceptions: None. |
|
|
270 | 270 | """ |
|
|
271 | 271 | |
|
|
272 | 272 | # note that the main configuration file is unavailable |
|
|
273 | 273 | # the best that can be done is send an email to root using localhost mailserver |
|
|
274 | 274 | confObj = SchainConfigure() |
|
|
275 | 275 | |
|
|
276 | 276 | self.__emailFromAddress = confObj.getSenderEmail() |
|
|
277 | 277 | self.__emailPass = confObj.getSenderPass() |
|
|
278 | 278 | self.__emailToAddress = confObj.getAdminEmail() |
|
|
279 | 279 | self.__emailServer = confObj.getEmailServer() |
|
|
280 | 280 | |
|
|
281 | 281 | def sendEmail(self, email_from, email_to, subject='Error running ...', message="", subtitle="", filename="", html_format=True): |
|
|
282 | 282 | |
|
|
283 | 283 | if not email_to: |
|
|
284 | 284 | return 0 |
|
|
285 | 285 | |
|
|
286 | 286 | if not self.__emailServer: |
|
|
287 | 287 | return 0 |
|
|
288 | 288 | |
|
|
289 | 289 | log.success('Sending email to {}...'.format(email_to), 'System') |
|
|
290 | 290 | |
|
|
291 | 291 | msg = MIMEMultipart() |
|
|
292 | 292 | msg['Subject'] = subject |
|
|
293 | 293 | msg['From'] = "(Python SChain API): " + email_from |
|
|
294 | 294 | msg['Reply-to'] = email_from |
|
|
295 | 295 | msg['To'] = email_to |
|
|
296 | 296 | |
|
|
297 | 297 | # That is what u see if dont have an email reader: |
|
|
298 | 298 | msg.preamble = 'SChainPy' |
|
|
299 | 299 | |
|
|
300 | 300 | if html_format: |
|
|
301 | 301 | message = "<h1> %s </h1>" %subject + "<h3>" + subtitle.replace("\n", "</h3><h3>\n") + "</h3>" + message.replace("\n", "<br>\n") |
|
|
302 | 302 | message = "<html>\n" + message + '</html>' |
|
|
303 | 303 | |
|
|
304 | 304 | # This is the textual part: |
|
|
305 | 305 | part = MIMEText(message, "html") |
|
|
306 | 306 | else: |
|
|
307 | 307 | message = subject + "\n" + subtitle + "\n" + message |
|
|
308 | 308 | part = MIMEText(message) |
|
|
309 | 309 | |
|
|
310 | 310 | msg.attach(part) |
|
|
311 | 311 | |
|
|
312 | 312 | if filename and os.path.isfile(filename): |
|
|
313 | 313 | # This is the binary part(The Attachment): |
|
|
314 | 314 | part = MIMEApplication(open(filename,"rb").read()) |
|
|
315 | 315 | part.add_header('Content-Disposition', |
|
|
316 | 316 | 'attachment', |
|
|
317 | 317 | filename=os.path.basename(filename)) |
|
|
318 | 318 | msg.attach(part) |
|
|
319 | 319 | |
|
|
320 | 320 | # Create an instance in SMTP server |
|
|
321 | 321 | try: |
|
|
322 | 322 | smtp = smtplib.SMTP(self.__emailServer) |
|
|
323 | 323 | except: |
|
|
324 | 324 | log.error('Could not connect to server {}'.format(self.__emailServer), 'System') |
|
|
325 | 325 | return 0 |
|
|
326 | 326 | |
|
|
327 | 327 | # Start the server: |
|
|
328 | 328 | # smtp.ehlo() |
|
|
329 | 329 | if self.__emailPass: |
|
|
330 | 330 | smtp.login(self.__emailFromAddress, self.__emailPass) |
|
|
331 | 331 | |
|
|
332 | 332 | # Send the email |
|
|
333 | 333 | try: |
|
|
334 | 334 | smtp.sendmail(msg['From'], msg['To'], msg.as_string()) |
|
|
335 | 335 | except: |
|
|
336 | 336 | log.error('Could not send the email to {}'.format(msg['To']), 'System') |
|
|
337 | 337 | smtp.quit() |
|
|
338 | 338 | return 0 |
|
|
339 | 339 | |
|
|
340 | 340 | smtp.quit() |
|
|
341 | 341 | |
|
|
342 | 342 | log.success('Email sent ', 'System') |
|
|
343 | 343 | |
|
|
344 | 344 | return 1 |
|
|
345 | 345 | |
|
|
346 | 346 | def sendAlert(self, message, subject = "", subtitle="", filename=""): |
|
|
347 | 347 | """sendAlert sends an email with the given message and optional title. |
|
|
348 | 348 | |
|
|
349 | 349 | Inputs: message (string), and optional title (string) |
|
|
350 | 350 | |
|
|
351 | 351 | Returns: void |
|
|
352 | 352 | |
|
|
353 | 353 | Affects: none |
|
|
354 | 354 | |
|
|
355 | 355 | Exceptions: None. |
|
|
356 | 356 | """ |
|
|
357 | 357 | |
|
|
358 | 358 | if not self.__emailToAddress: |
|
|
359 | 359 | return 0 |
|
|
360 | 360 | |
|
|
361 | 361 | print("***** Sending alert to %s *****" %self.__emailToAddress) |
|
|
362 | 362 | # set up message |
|
|
363 | 363 | |
|
|
364 | 364 | sent=self.sendEmail(email_from=self.__emailFromAddress, |
|
|
365 | 365 | email_to=self.__emailToAddress, |
|
|
366 | 366 | subject=subject, |
|
|
367 | 367 | message=message, |
|
|
368 | 368 | subtitle=subtitle, |
|
|
369 | 369 | filename=filename) |
|
|
370 | 370 | |
|
|
371 | 371 | if not sent: |
|
|
372 | 372 | return 0 |
|
|
373 | 373 | |
|
|
374 | 374 | return 1 |
|
|
375 | 375 | |
|
|
376 | 376 | def notify(self, email, message, subject = "", subtitle="", filename=""): |
|
|
377 | 377 | """notify sends an email with the given message and title to email. |
|
|
378 | 378 | |
|
|
379 | 379 | Inputs: email (string), message (string), and subject (string) |
|
|
380 | 380 | |
|
|
381 | 381 | Returns: void |
|
|
382 | 382 | |
|
|
383 | 383 | Affects: none |
|
|
384 | 384 | |
|
|
385 | 385 | Exceptions: None. |
|
|
386 | 386 | """ |
|
|
387 | 387 | |
|
|
388 | 388 | if email is None: |
|
|
389 | 389 | email = self.__emailToAddress |
|
|
390 | 390 | |
|
|
391 | 391 | self.sendEmail( |
|
|
392 | 392 | email_from=self.__emailFromAddress, |
|
|
393 | 393 | email_to=email, |
|
|
394 | 394 | subject=subject, |
|
|
395 | 395 | message=message, |
|
|
396 | 396 | subtitle=subtitle, |
|
|
397 | 397 | filename=filename |
|
|
398 | 398 | ) |
|
|
399 | 399 | |
|
|
400 | 400 | |
|
|
401 | 401 | class SchainError(Exception): |
|
|
402 | 402 | """SchainError is an exception class that is thrown for all known errors using Schain Py lib. |
|
|
403 | 403 | |
|
|
404 | 404 | Usage example: |
|
|
405 | 405 | |
|
|
406 | 406 | import sys, traceback |
|
|
407 | 407 | import schainpy.admin |
|
|
408 | 408 | |
|
|
409 | 409 | try: |
|
|
410 | 410 | |
|
|
411 | 411 | test = open('ImportantFile.txt', 'r') |
|
|
412 | 412 | |
|
|
413 | 413 | except: |
|
|
414 | 414 | |
|
|
415 | 415 | raise schainpy.admin.SchainError('ImportantFile.txt not opened!', |
|
|
416 | 416 | traceback.format_exception(sys.exc_info()[0], |
|
|
417 | 417 | sys.exc_info()[1], |
|
|
418 | 418 | sys.exc_info()[2])) |
|
|
419 | 419 | """ |
|
|
420 | 420 | |
|
|
421 | 421 | |
|
|
422 | 422 | def __init__(self, strInterpretation, exceptionList=None): |
|
|
423 | 423 | """ __init__ gathers the interpretation string along with all information from sys.exc_info(). |
|
|
424 | 424 | |
|
|
425 | 425 | Inputs: |
|
|
426 | 426 | strIntepretation - A string representing the programmer's interpretation of |
|
|
427 | 427 | why the exception occurred |
|
|
428 | 428 | |
|
|
429 | 429 | exceptionList - a list of strings completely describing the exception. |
|
|
430 | 430 | Generated by traceback.format_exception(sys.exc_info()[0], |
|
|
431 | 431 | sys.exc_info()[1], |
|
|
432 | 432 | sys.exc_info()[2]) |
|
|
433 | 433 | |
|
|
434 | 434 | Returns: Void. |
|
|
435 | 435 | |
|
|
436 | 436 | Affects: Initializes class member variables _strInterp, _strExcList. |
|
|
437 | 437 | |
|
|
438 | 438 | Exceptions: None. |
|
|
439 | 439 | """ |
|
|
440 | 440 | |
|
|
441 | 441 | if not exceptionList: |
|
|
442 | 442 | exceptionList = traceback.format_exception(sys.exc_info()[0], |
|
|
443 | 443 | sys.exc_info()[1], |
|
|
444 | 444 | sys.exc_info()[2]) |
|
|
445 | 445 | |
|
|
446 | 446 | self._strInterp = strInterpretation |
|
|
447 | 447 | self._strExcList = exceptionList |
|
|
448 | 448 | |
|
|
449 | 449 | |
|
|
450 | 450 | def getExceptionStr(self): |
|
|
451 | 451 | """ getExceptionStr returns a formatted string ready for printing completely describing the exception. |
|
|
452 | 452 | |
|
|
453 | 453 | Inputs: None |
|
|
454 | 454 | |
|
|
455 | 455 | Returns: A formatted string ready for printing completely describing the exception. |
|
|
456 | 456 | |
|
|
457 | 457 | Affects: None |
|
|
458 | 458 | |
|
|
459 | 459 | Exceptions: None. |
|
|
460 | 460 | """ |
|
|
461 | 461 | excStr = '' |
|
|
462 | 462 | excStr = excStr + self._strInterp + '\n\n' |
|
|
463 | 463 | |
|
|
464 | 464 | if self._strExcList != None: |
|
|
465 | 465 | for item in self._strExcList: |
|
|
466 | 466 | excStr = excStr + str(item) + '\n' |
|
|
467 | 467 | |
|
|
468 | 468 | return excStr |
|
|
469 | 469 | |
|
|
470 | 470 | def __str__(self): |
|
|
471 | 471 | |
|
|
472 | 472 | return(self.getExceptionStr()) |
|
|
473 | 473 | |
|
|
474 | 474 | |
|
|
475 | 475 | def getExceptionHtml(self): |
|
|
476 | 476 | """ getExceptionHtml returns an Html formatted string completely describing the exception. |
|
|
477 | 477 | |
|
|
478 | 478 | Inputs: None |
|
|
479 | 479 | |
|
|
480 | 480 | Returns: A formatted string ready for printing completely describing the exception. |
|
|
481 | 481 | |
|
|
482 | 482 | Affects: None |
|
|
483 | 483 | |
|
|
484 | 484 | Exceptions: None. |
|
|
485 | 485 | """ |
|
|
486 | 486 | |
|
|
487 | 487 | excStr = '<BR>The following Schain Python exception has occurred:\n<BR>' |
|
|
488 | 488 | excStr = excStr + self._strInterp + '\n<BR>\n' |
|
|
489 | 489 | |
|
|
490 | 490 | if self._strExcList != None: |
|
|
491 | 491 | for item in self._strExcList: |
|
|
492 | 492 | excStr = excStr + str(item) + '\n<BR>' |
|
|
493 | 493 | |
|
|
494 | 494 | return excStr |
|
|
495 | 495 | |
|
|
496 | 496 | class SchainWarning(Exception): |
|
|
497 | 497 | pass |
|
|
498 | 498 | |
|
|
499 | 499 | |
|
|
500 | 500 | if __name__ == '__main__': |
|
|
501 | 501 | |
|
|
502 | 502 | test = SchainNotify() |
|
|
503 | 503 | |
|
|
504 | 504 | test.sendAlert('This is a message from the python module SchainNotify', 'Test from SchainNotify') |
|
|
505 | 505 | |
|
|
506 | 506 | print('Hopefully message sent - check.') No newline at end of file |
| @@ -1,1265 +1,1263 | |||
|
|
1 | 1 | ''' |
|
|
2 | 2 | Updated on January , 2018, for multiprocessing purposes |
|
|
3 | 3 | Author: Sergio Cortez |
|
|
4 | 4 | Created on September , 2012 |
|
|
5 | 5 | ''' |
|
|
6 | 6 | from platform import python_version |
|
|
7 | 7 | import sys |
|
|
8 | 8 | import ast |
|
|
9 | 9 | import datetime |
|
|
10 | 10 | import traceback |
|
|
11 | 11 | import math |
|
|
12 | 12 | import time |
|
|
13 | 13 | import zmq |
|
|
14 | 14 | from multiprocessing import Process, cpu_count |
|
|
15 | 15 | from threading import Thread |
|
|
16 | 16 | from xml.etree.ElementTree import ElementTree, Element, SubElement, tostring |
|
|
17 | 17 | from xml.dom import minidom |
|
|
18 | 18 | |
|
|
19 | 19 | |
|
|
20 | 20 | from schainpy.admin import Alarm, SchainWarning |
|
|
21 | 21 | |
|
|
22 | 22 | ### Temporary imports!!! |
|
|
23 | 23 | # from schainpy.model import * |
|
|
24 | 24 | from schainpy.model.io import * |
|
|
25 | 25 | from schainpy.model.graphics import * |
|
|
26 | 26 | from schainpy.model.proc.jroproc_base import * |
|
|
27 | 27 | from schainpy.model.proc.bltrproc_parameters import * |
|
|
28 | 28 | from schainpy.model.proc.jroproc_spectra import * |
|
|
29 | 29 | from schainpy.model.proc.jroproc_voltage import * |
|
|
30 | 30 | from schainpy.model.proc.jroproc_parameters import * |
|
|
31 | 31 | from schainpy.model.utils.jroutils_publish import * |
|
|
32 | 32 | from schainpy.utils import log |
|
|
33 | 33 | ### |
|
|
34 | 34 | |
|
|
35 | 35 | DTYPES = { |
|
|
36 | 36 | 'Voltage': '.r', |
|
|
37 | 37 | 'Spectra': '.pdata' |
|
|
38 | 38 | } |
|
|
39 | 39 | |
|
|
40 | 40 | |
|
|
41 | 41 | def MPProject(project, n=cpu_count()): |
|
|
42 | 42 | ''' |
|
|
43 | 43 | Project wrapper to run schain in n processes |
|
|
44 | 44 | ''' |
|
|
45 | 45 | |
|
|
46 | 46 | rconf = project.getReadUnitObj() |
|
|
47 | 47 | op = rconf.getOperationObj('run') |
|
|
48 | 48 | dt1 = op.getParameterValue('startDate') |
|
|
49 | 49 | dt2 = op.getParameterValue('endDate') |
|
|
50 | 50 | tm1 = op.getParameterValue('startTime') |
|
|
51 | 51 | tm2 = op.getParameterValue('endTime') |
|
|
52 | 52 | days = (dt2 - dt1).days |
|
|
53 | 53 | |
|
|
54 | 54 | for day in range(days + 1): |
|
|
55 | 55 | skip = 0 |
|
|
56 | 56 | cursor = 0 |
|
|
57 | 57 | processes = [] |
|
|
58 | 58 | dt = dt1 + datetime.timedelta(day) |
|
|
59 | 59 | dt_str = dt.strftime('%Y/%m/%d') |
|
|
60 | 60 | reader = JRODataReader() |
|
|
61 | 61 | paths, files = reader.searchFilesOffLine(path=rconf.path, |
|
|
62 | 62 | startDate=dt, |
|
|
63 | 63 | endDate=dt, |
|
|
64 | 64 | startTime=tm1, |
|
|
65 | 65 | endTime=tm2, |
|
|
66 | 66 | ext=DTYPES[rconf.datatype]) |
|
|
67 | 67 | nFiles = len(files) |
|
|
68 | 68 | if nFiles == 0: |
|
|
69 | 69 | continue |
|
|
70 | 70 | skip = int(math.ceil(nFiles / n)) |
|
|
71 | 71 | while nFiles > cursor * skip: |
|
|
72 | 72 | rconf.update(startDate=dt_str, endDate=dt_str, cursor=cursor, |
|
|
73 | 73 | skip=skip) |
|
|
74 | 74 | p = project.clone() |
|
|
75 | 75 | p.start() |
|
|
76 | 76 | processes.append(p) |
|
|
77 | 77 | cursor += 1 |
|
|
78 | 78 | |
|
|
79 | 79 | def beforeExit(exctype, value, trace): |
|
|
80 | 80 | for process in processes: |
|
|
81 | 81 | process.terminate() |
|
|
82 | 82 | process.join() |
|
|
83 | 83 | print(traceback.print_tb(trace)) |
|
|
84 | 84 | |
|
|
85 | 85 | sys.excepthook = beforeExit |
|
|
86 | 86 | |
|
|
87 | 87 | for process in processes: |
|
|
88 | 88 | process.join() |
|
|
89 | 89 | process.terminate() |
|
|
90 | 90 | |
|
|
91 | 91 | time.sleep(3) |
|
|
92 | 92 | |
|
|
93 | 93 | def wait(context): |
|
|
94 | 94 | |
|
|
95 | 95 | time.sleep(1) |
|
|
96 | 96 | c = zmq.Context() |
|
|
97 | 97 | receiver = c.socket(zmq.SUB) |
|
|
98 | 98 | receiver.connect('ipc:///tmp/schain_{}_pub'.format(self.id)) |
|
|
99 | 99 | receiver.setsockopt(zmq.SUBSCRIBE, self.id.encode()) |
|
|
100 | log.error('startinggg') | |
|
|
101 | 100 | msg = receiver.recv_multipart()[1] |
|
|
102 | #log.error(msg) | |
|
|
103 | 101 | context.terminate() |
|
|
104 | 102 | |
|
|
105 | 103 | class ParameterConf(): |
|
|
106 | 104 | |
|
|
107 | 105 | id = None |
|
|
108 | 106 | name = None |
|
|
109 | 107 | value = None |
|
|
110 | 108 | format = None |
|
|
111 | 109 | |
|
|
112 | 110 | __formated_value = None |
|
|
113 | 111 | |
|
|
114 | 112 | ELEMENTNAME = 'Parameter' |
|
|
115 | 113 | |
|
|
116 | 114 | def __init__(self): |
|
|
117 | 115 | |
|
|
118 | 116 | self.format = 'str' |
|
|
119 | 117 | |
|
|
120 | 118 | def getElementName(self): |
|
|
121 | 119 | |
|
|
122 | 120 | return self.ELEMENTNAME |
|
|
123 | 121 | |
|
|
124 | 122 | def getValue(self): |
|
|
125 | 123 | |
|
|
126 | 124 | value = self.value |
|
|
127 | 125 | format = self.format |
|
|
128 | 126 | |
|
|
129 | 127 | if self.__formated_value != None: |
|
|
130 | 128 | |
|
|
131 | 129 | return self.__formated_value |
|
|
132 | 130 | |
|
|
133 | 131 | if format == 'obj': |
|
|
134 | 132 | return value |
|
|
135 | 133 | |
|
|
136 | 134 | if format == 'str': |
|
|
137 | 135 | self.__formated_value = str(value) |
|
|
138 | 136 | return self.__formated_value |
|
|
139 | 137 | |
|
|
140 | 138 | if value == '': |
|
|
141 | 139 | raise ValueError('%s: This parameter value is empty' % self.name) |
|
|
142 | 140 | |
|
|
143 | 141 | if format == 'list': |
|
|
144 | 142 | strList = value.split(',') |
|
|
145 | 143 | |
|
|
146 | 144 | self.__formated_value = strList |
|
|
147 | 145 | |
|
|
148 | 146 | return self.__formated_value |
|
|
149 | 147 | |
|
|
150 | 148 | if format == 'intlist': |
|
|
151 | 149 | ''' |
|
|
152 | 150 | Example: |
|
|
153 | 151 | value = (0,1,2) |
|
|
154 | 152 | ''' |
|
|
155 | 153 | |
|
|
156 | 154 | new_value = ast.literal_eval(value) |
|
|
157 | 155 | |
|
|
158 | 156 | if type(new_value) not in (tuple, list): |
|
|
159 | 157 | new_value = [int(new_value)] |
|
|
160 | 158 | |
|
|
161 | 159 | self.__formated_value = new_value |
|
|
162 | 160 | |
|
|
163 | 161 | return self.__formated_value |
|
|
164 | 162 | |
|
|
165 | 163 | if format == 'floatlist': |
|
|
166 | 164 | ''' |
|
|
167 | 165 | Example: |
|
|
168 | 166 | value = (0.5, 1.4, 2.7) |
|
|
169 | 167 | ''' |
|
|
170 | 168 | |
|
|
171 | 169 | new_value = ast.literal_eval(value) |
|
|
172 | 170 | |
|
|
173 | 171 | if type(new_value) not in (tuple, list): |
|
|
174 | 172 | new_value = [float(new_value)] |
|
|
175 | 173 | |
|
|
176 | 174 | self.__formated_value = new_value |
|
|
177 | 175 | |
|
|
178 | 176 | return self.__formated_value |
|
|
179 | 177 | |
|
|
180 | 178 | if format == 'date': |
|
|
181 | 179 | strList = value.split('/') |
|
|
182 | 180 | intList = [int(x) for x in strList] |
|
|
183 | 181 | date = datetime.date(intList[0], intList[1], intList[2]) |
|
|
184 | 182 | |
|
|
185 | 183 | self.__formated_value = date |
|
|
186 | 184 | |
|
|
187 | 185 | return self.__formated_value |
|
|
188 | 186 | |
|
|
189 | 187 | if format == 'time': |
|
|
190 | 188 | strList = value.split(':') |
|
|
191 | 189 | intList = [int(x) for x in strList] |
|
|
192 | 190 | time = datetime.time(intList[0], intList[1], intList[2]) |
|
|
193 | 191 | |
|
|
194 | 192 | self.__formated_value = time |
|
|
195 | 193 | |
|
|
196 | 194 | return self.__formated_value |
|
|
197 | 195 | |
|
|
198 | 196 | if format == 'pairslist': |
|
|
199 | 197 | ''' |
|
|
200 | 198 | Example: |
|
|
201 | 199 | value = (0,1),(1,2) |
|
|
202 | 200 | ''' |
|
|
203 | 201 | |
|
|
204 | 202 | new_value = ast.literal_eval(value) |
|
|
205 | 203 | |
|
|
206 | 204 | if type(new_value) not in (tuple, list): |
|
|
207 | 205 | raise ValueError('%s has to be a tuple or list of pairs' % value) |
|
|
208 | 206 | |
|
|
209 | 207 | if type(new_value[0]) not in (tuple, list): |
|
|
210 | 208 | if len(new_value) != 2: |
|
|
211 | 209 | raise ValueError('%s has to be a tuple or list of pairs' % value) |
|
|
212 | 210 | new_value = [new_value] |
|
|
213 | 211 | |
|
|
214 | 212 | for thisPair in new_value: |
|
|
215 | 213 | if len(thisPair) != 2: |
|
|
216 | 214 | raise ValueError('%s has to be a tuple or list of pairs' % value) |
|
|
217 | 215 | |
|
|
218 | 216 | self.__formated_value = new_value |
|
|
219 | 217 | |
|
|
220 | 218 | return self.__formated_value |
|
|
221 | 219 | |
|
|
222 | 220 | if format == 'multilist': |
|
|
223 | 221 | ''' |
|
|
224 | 222 | Example: |
|
|
225 | 223 | value = (0,1,2),(3,4,5) |
|
|
226 | 224 | ''' |
|
|
227 | 225 | multiList = ast.literal_eval(value) |
|
|
228 | 226 | |
|
|
229 | 227 | if type(multiList[0]) == int: |
|
|
230 | 228 | multiList = ast.literal_eval('(' + value + ')') |
|
|
231 | 229 | |
|
|
232 | 230 | self.__formated_value = multiList |
|
|
233 | 231 | |
|
|
234 | 232 | return self.__formated_value |
|
|
235 | 233 | |
|
|
236 | 234 | if format == 'bool': |
|
|
237 | 235 | value = int(value) |
|
|
238 | 236 | |
|
|
239 | 237 | if format == 'int': |
|
|
240 | 238 | value = float(value) |
|
|
241 | 239 | |
|
|
242 | 240 | format_func = eval(format) |
|
|
243 | 241 | |
|
|
244 | 242 | self.__formated_value = format_func(value) |
|
|
245 | 243 | |
|
|
246 | 244 | return self.__formated_value |
|
|
247 | 245 | |
|
|
248 | 246 | def updateId(self, new_id): |
|
|
249 | 247 | |
|
|
250 | 248 | self.id = str(new_id) |
|
|
251 | 249 | |
|
|
252 | 250 | def setup(self, id, name, value, format='str'): |
|
|
253 | 251 | self.id = str(id) |
|
|
254 | 252 | self.name = name |
|
|
255 | 253 | if format == 'obj': |
|
|
256 | 254 | self.value = value |
|
|
257 | 255 | else: |
|
|
258 | 256 | self.value = str(value) |
|
|
259 | 257 | self.format = str.lower(format) |
|
|
260 | 258 | |
|
|
261 | 259 | self.getValue() |
|
|
262 | 260 | |
|
|
263 | 261 | return 1 |
|
|
264 | 262 | |
|
|
265 | 263 | def update(self, name, value, format='str'): |
|
|
266 | 264 | |
|
|
267 | 265 | self.name = name |
|
|
268 | 266 | self.value = str(value) |
|
|
269 | 267 | self.format = format |
|
|
270 | 268 | |
|
|
271 | 269 | def makeXml(self, opElement): |
|
|
272 | 270 | if self.name not in ('queue',): |
|
|
273 | 271 | parmElement = SubElement(opElement, self.ELEMENTNAME) |
|
|
274 | 272 | parmElement.set('id', str(self.id)) |
|
|
275 | 273 | parmElement.set('name', self.name) |
|
|
276 | 274 | parmElement.set('value', self.value) |
|
|
277 | 275 | parmElement.set('format', self.format) |
|
|
278 | 276 | |
|
|
279 | 277 | def readXml(self, parmElement): |
|
|
280 | 278 | |
|
|
281 | 279 | self.id = parmElement.get('id') |
|
|
282 | 280 | self.name = parmElement.get('name') |
|
|
283 | 281 | self.value = parmElement.get('value') |
|
|
284 | 282 | self.format = str.lower(parmElement.get('format')) |
|
|
285 | 283 | |
|
|
286 | 284 | # Compatible with old signal chain version |
|
|
287 | 285 | if self.format == 'int' and self.name == 'idfigure': |
|
|
288 | 286 | self.name = 'id' |
|
|
289 | 287 | |
|
|
290 | 288 | def printattr(self): |
|
|
291 | 289 | |
|
|
292 | 290 | print('Parameter[%s]: name = %s, value = %s, format = %s, project_id = %s' % (self.id, self.name, self.value, self.format, self.project_id)) |
|
|
293 | 291 | |
|
|
294 | 292 | class OperationConf(): |
|
|
295 | 293 | |
|
|
296 | 294 | ELEMENTNAME = 'Operation' |
|
|
297 | 295 | |
|
|
298 | 296 | def __init__(self): |
|
|
299 | 297 | |
|
|
300 | 298 | self.id = '0' |
|
|
301 | 299 | self.name = None |
|
|
302 | 300 | self.priority = None |
|
|
303 | 301 | self.topic = None |
|
|
304 | 302 | |
|
|
305 | 303 | def __getNewId(self): |
|
|
306 | 304 | |
|
|
307 | 305 | return int(self.id) * 10 + len(self.parmConfObjList) + 1 |
|
|
308 | 306 | |
|
|
309 | 307 | def getId(self): |
|
|
310 | 308 | return self.id |
|
|
311 | 309 | |
|
|
312 | 310 | def updateId(self, new_id): |
|
|
313 | 311 | |
|
|
314 | 312 | self.id = str(new_id) |
|
|
315 | 313 | |
|
|
316 | 314 | n = 1 |
|
|
317 | 315 | for parmObj in self.parmConfObjList: |
|
|
318 | 316 | |
|
|
319 | 317 | idParm = str(int(new_id) * 10 + n) |
|
|
320 | 318 | parmObj.updateId(idParm) |
|
|
321 | 319 | |
|
|
322 | 320 | n += 1 |
|
|
323 | 321 | |
|
|
324 | 322 | def getElementName(self): |
|
|
325 | 323 | |
|
|
326 | 324 | return self.ELEMENTNAME |
|
|
327 | 325 | |
|
|
328 | 326 | def getParameterObjList(self): |
|
|
329 | 327 | |
|
|
330 | 328 | return self.parmConfObjList |
|
|
331 | 329 | |
|
|
332 | 330 | def getParameterObj(self, parameterName): |
|
|
333 | 331 | |
|
|
334 | 332 | for parmConfObj in self.parmConfObjList: |
|
|
335 | 333 | |
|
|
336 | 334 | if parmConfObj.name != parameterName: |
|
|
337 | 335 | continue |
|
|
338 | 336 | |
|
|
339 | 337 | return parmConfObj |
|
|
340 | 338 | |
|
|
341 | 339 | return None |
|
|
342 | 340 | |
|
|
343 | 341 | def getParameterObjfromValue(self, parameterValue): |
|
|
344 | 342 | |
|
|
345 | 343 | for parmConfObj in self.parmConfObjList: |
|
|
346 | 344 | |
|
|
347 | 345 | if parmConfObj.getValue() != parameterValue: |
|
|
348 | 346 | continue |
|
|
349 | 347 | |
|
|
350 | 348 | return parmConfObj.getValue() |
|
|
351 | 349 | |
|
|
352 | 350 | return None |
|
|
353 | 351 | |
|
|
354 | 352 | def getParameterValue(self, parameterName): |
|
|
355 | 353 | |
|
|
356 | 354 | parameterObj = self.getParameterObj(parameterName) |
|
|
357 | 355 | |
|
|
358 | 356 | # if not parameterObj: |
|
|
359 | 357 | # return None |
|
|
360 | 358 | |
|
|
361 | 359 | value = parameterObj.getValue() |
|
|
362 | 360 | |
|
|
363 | 361 | return value |
|
|
364 | 362 | |
|
|
365 | 363 | def getKwargs(self): |
|
|
366 | 364 | |
|
|
367 | 365 | kwargs = {} |
|
|
368 | 366 | |
|
|
369 | 367 | for parmConfObj in self.parmConfObjList: |
|
|
370 | 368 | if self.name == 'run' and parmConfObj.name == 'datatype': |
|
|
371 | 369 | continue |
|
|
372 | 370 | |
|
|
373 | 371 | kwargs[parmConfObj.name] = parmConfObj.getValue() |
|
|
374 | 372 | |
|
|
375 | 373 | return kwargs |
|
|
376 | 374 | |
|
|
377 | 375 | def setup(self, id, name, priority, type, project_id): |
|
|
378 | 376 | |
|
|
379 | 377 | self.id = str(id) |
|
|
380 | 378 | self.project_id = project_id |
|
|
381 | 379 | self.name = name |
|
|
382 | 380 | self.type = type |
|
|
383 | 381 | self.priority = priority |
|
|
384 | 382 | self.parmConfObjList = [] |
|
|
385 | 383 | |
|
|
386 | 384 | def removeParameters(self): |
|
|
387 | 385 | |
|
|
388 | 386 | for obj in self.parmConfObjList: |
|
|
389 | 387 | del obj |
|
|
390 | 388 | |
|
|
391 | 389 | self.parmConfObjList = [] |
|
|
392 | 390 | |
|
|
393 | 391 | def addParameter(self, name, value, format='str'): |
|
|
394 | 392 | |
|
|
395 | 393 | if value is None: |
|
|
396 | 394 | return None |
|
|
397 | 395 | id = self.__getNewId() |
|
|
398 | 396 | |
|
|
399 | 397 | parmConfObj = ParameterConf() |
|
|
400 | 398 | if not parmConfObj.setup(id, name, value, format): |
|
|
401 | 399 | return None |
|
|
402 | 400 | |
|
|
403 | 401 | self.parmConfObjList.append(parmConfObj) |
|
|
404 | 402 | |
|
|
405 | 403 | return parmConfObj |
|
|
406 | 404 | |
|
|
407 | 405 | def changeParameter(self, name, value, format='str'): |
|
|
408 | 406 | |
|
|
409 | 407 | parmConfObj = self.getParameterObj(name) |
|
|
410 | 408 | parmConfObj.update(name, value, format) |
|
|
411 | 409 | |
|
|
412 | 410 | return parmConfObj |
|
|
413 | 411 | |
|
|
414 | 412 | def makeXml(self, procUnitElement): |
|
|
415 | 413 | |
|
|
416 | 414 | opElement = SubElement(procUnitElement, self.ELEMENTNAME) |
|
|
417 | 415 | opElement.set('id', str(self.id)) |
|
|
418 | 416 | opElement.set('name', self.name) |
|
|
419 | 417 | opElement.set('type', self.type) |
|
|
420 | 418 | opElement.set('priority', str(self.priority)) |
|
|
421 | 419 | |
|
|
422 | 420 | for parmConfObj in self.parmConfObjList: |
|
|
423 | 421 | parmConfObj.makeXml(opElement) |
|
|
424 | 422 | |
|
|
425 | 423 | def readXml(self, opElement, project_id): |
|
|
426 | 424 | |
|
|
427 | 425 | self.id = opElement.get('id') |
|
|
428 | 426 | self.name = opElement.get('name') |
|
|
429 | 427 | self.type = opElement.get('type') |
|
|
430 | 428 | self.priority = opElement.get('priority') |
|
|
431 | 429 | self.project_id = str(project_id) #yong |
|
|
432 | 430 | |
|
|
433 | 431 | # Compatible with old signal chain version |
|
|
434 | 432 | # Use of 'run' method instead 'init' |
|
|
435 | 433 | if self.type == 'self' and self.name == 'init': |
|
|
436 | 434 | self.name = 'run' |
|
|
437 | 435 | |
|
|
438 | 436 | self.parmConfObjList = [] |
|
|
439 | 437 | |
|
|
440 | 438 | parmElementList = opElement.iter(ParameterConf().getElementName()) |
|
|
441 | 439 | |
|
|
442 | 440 | for parmElement in parmElementList: |
|
|
443 | 441 | parmConfObj = ParameterConf() |
|
|
444 | 442 | parmConfObj.readXml(parmElement) |
|
|
445 | 443 | |
|
|
446 | 444 | # Compatible with old signal chain version |
|
|
447 | 445 | # If an 'plot' OPERATION is found, changes name operation by the value of its type PARAMETER |
|
|
448 | 446 | if self.type != 'self' and self.name == 'Plot': |
|
|
449 | 447 | if parmConfObj.format == 'str' and parmConfObj.name == 'type': |
|
|
450 | 448 | self.name = parmConfObj.value |
|
|
451 | 449 | continue |
|
|
452 | 450 | |
|
|
453 | 451 | self.parmConfObjList.append(parmConfObj) |
|
|
454 | 452 | |
|
|
455 | 453 | def printattr(self): |
|
|
456 | 454 | |
|
|
457 | 455 | print('%s[%s]: name = %s, type = %s, priority = %s, project_id = %s' % (self.ELEMENTNAME, |
|
|
458 | 456 | self.id, |
|
|
459 | 457 | self.name, |
|
|
460 | 458 | self.type, |
|
|
461 | 459 | self.priority, |
|
|
462 | 460 | self.project_id)) |
|
|
463 | 461 | |
|
|
464 | 462 | for parmConfObj in self.parmConfObjList: |
|
|
465 | 463 | parmConfObj.printattr() |
|
|
466 | 464 | |
|
|
467 | 465 | def createObject(self): |
|
|
468 | 466 | |
|
|
469 | 467 | className = eval(self.name) |
|
|
470 | 468 | |
|
|
471 | 469 | if self.type == 'other': |
|
|
472 | 470 | opObj = className() |
|
|
473 | 471 | elif self.type == 'external': |
|
|
474 | 472 | kwargs = self.getKwargs() |
|
|
475 | 473 | opObj = className(self.id, self.project_id, **kwargs) |
|
|
476 | 474 | opObj.start() |
|
|
477 | 475 | |
|
|
478 | 476 | return opObj |
|
|
479 | 477 | |
|
|
480 | 478 | class ProcUnitConf(): |
|
|
481 | 479 | |
|
|
482 | 480 | ELEMENTNAME = 'ProcUnit' |
|
|
483 | 481 | |
|
|
484 | 482 | def __init__(self): |
|
|
485 | 483 | |
|
|
486 | 484 | self.id = None |
|
|
487 | 485 | self.datatype = None |
|
|
488 | 486 | self.name = None |
|
|
489 | 487 | self.inputId = None |
|
|
490 | 488 | self.opConfObjList = [] |
|
|
491 | 489 | self.procUnitObj = None |
|
|
492 | 490 | self.opObjDict = {} |
|
|
493 | 491 | |
|
|
494 | 492 | def __getPriority(self): |
|
|
495 | 493 | |
|
|
496 | 494 | return len(self.opConfObjList) + 1 |
|
|
497 | 495 | |
|
|
498 | 496 | def __getNewId(self): |
|
|
499 | 497 | |
|
|
500 | 498 | return int(self.id) * 10 + len(self.opConfObjList) + 1 |
|
|
501 | 499 | |
|
|
502 | 500 | def getElementName(self): |
|
|
503 | 501 | |
|
|
504 | 502 | return self.ELEMENTNAME |
|
|
505 | 503 | |
|
|
506 | 504 | def getId(self): |
|
|
507 | 505 | |
|
|
508 | 506 | return self.id |
|
|
509 | 507 | |
|
|
510 | 508 | def updateId(self, new_id): |
|
|
511 | 509 | ''' |
|
|
512 | 510 | new_id = int(parentId) * 10 + (int(self.id) % 10) |
|
|
513 | 511 | new_inputId = int(parentId) * 10 + (int(self.inputId) % 10) |
|
|
514 | 512 | |
|
|
515 | 513 | # If this proc unit has not inputs |
|
|
516 | 514 | #if self.inputId == '0': |
|
|
517 | 515 | #new_inputId = 0 |
|
|
518 | 516 | |
|
|
519 | 517 | n = 1 |
|
|
520 | 518 | for opConfObj in self.opConfObjList: |
|
|
521 | 519 | |
|
|
522 | 520 | idOp = str(int(new_id) * 10 + n) |
|
|
523 | 521 | opConfObj.updateId(idOp) |
|
|
524 | 522 | |
|
|
525 | 523 | n += 1 |
|
|
526 | 524 | |
|
|
527 | 525 | self.parentId = str(parentId) |
|
|
528 | 526 | self.id = str(new_id) |
|
|
529 | 527 | #self.inputId = str(new_inputId) |
|
|
530 | 528 | ''' |
|
|
531 | 529 | n = 1 |
|
|
532 | 530 | |
|
|
533 | 531 | def getInputId(self): |
|
|
534 | 532 | |
|
|
535 | 533 | return self.inputId |
|
|
536 | 534 | |
|
|
537 | 535 | def getOperationObjList(self): |
|
|
538 | 536 | |
|
|
539 | 537 | return self.opConfObjList |
|
|
540 | 538 | |
|
|
541 | 539 | def getOperationObj(self, name=None): |
|
|
542 | 540 | |
|
|
543 | 541 | for opConfObj in self.opConfObjList: |
|
|
544 | 542 | |
|
|
545 | 543 | if opConfObj.name != name: |
|
|
546 | 544 | continue |
|
|
547 | 545 | |
|
|
548 | 546 | return opConfObj |
|
|
549 | 547 | |
|
|
550 | 548 | return None |
|
|
551 | 549 | |
|
|
552 | 550 | def getOpObjfromParamValue(self, value=None): |
|
|
553 | 551 | |
|
|
554 | 552 | for opConfObj in self.opConfObjList: |
|
|
555 | 553 | if opConfObj.getParameterObjfromValue(parameterValue=value) != value: |
|
|
556 | 554 | continue |
|
|
557 | 555 | return opConfObj |
|
|
558 | 556 | return None |
|
|
559 | 557 | |
|
|
560 | 558 | def getProcUnitObj(self): |
|
|
561 | 559 | |
|
|
562 | 560 | return self.procUnitObj |
|
|
563 | 561 | |
|
|
564 | 562 | def setup(self, project_id, id, name, datatype, inputId): |
|
|
565 | 563 | ''' |
|
|
566 | 564 | id sera el topico a publicar |
|
|
567 | 565 | inputId sera el topico a subscribirse |
|
|
568 | 566 | ''' |
|
|
569 | 567 | |
|
|
570 | 568 | # Compatible with old signal chain version |
|
|
571 | 569 | if datatype == None and name == None: |
|
|
572 | 570 | raise ValueError('datatype or name should be defined') |
|
|
573 | 571 | |
|
|
574 | 572 | #Definir una condicion para inputId cuando sea 0 |
|
|
575 | 573 | |
|
|
576 | 574 | if name == None: |
|
|
577 | 575 | if 'Proc' in datatype: |
|
|
578 | 576 | name = datatype |
|
|
579 | 577 | else: |
|
|
580 | 578 | name = '%sProc' % (datatype) |
|
|
581 | 579 | |
|
|
582 | 580 | if datatype == None: |
|
|
583 | 581 | datatype = name.replace('Proc', '') |
|
|
584 | 582 | |
|
|
585 | 583 | self.id = str(id) |
|
|
586 | 584 | self.project_id = project_id |
|
|
587 | 585 | self.name = name |
|
|
588 | 586 | self.datatype = datatype |
|
|
589 | 587 | self.inputId = inputId |
|
|
590 | 588 | self.opConfObjList = [] |
|
|
591 | 589 | |
|
|
592 | 590 | self.addOperation(name='run', optype='self') |
|
|
593 | 591 | |
|
|
594 | 592 | def removeOperations(self): |
|
|
595 | 593 | |
|
|
596 | 594 | for obj in self.opConfObjList: |
|
|
597 | 595 | del obj |
|
|
598 | 596 | |
|
|
599 | 597 | self.opConfObjList = [] |
|
|
600 | 598 | self.addOperation(name='run') |
|
|
601 | 599 | |
|
|
602 | 600 | def addParameter(self, **kwargs): |
|
|
603 | 601 | ''' |
|
|
604 | 602 | Add parameters to 'run' operation |
|
|
605 | 603 | ''' |
|
|
606 | 604 | opObj = self.opConfObjList[0] |
|
|
607 | 605 | |
|
|
608 | 606 | opObj.addParameter(**kwargs) |
|
|
609 | 607 | |
|
|
610 | 608 | return opObj |
|
|
611 | 609 | |
|
|
612 | 610 | def addOperation(self, name, optype='self'): |
|
|
613 | 611 | ''' |
|
|
614 | 612 | Actualizacion - > proceso comunicacion |
|
|
615 | 613 | En el caso de optype='self', elminar. DEfinir comuncacion IPC -> Topic |
|
|
616 | 614 | definir el tipoc de socket o comunicacion ipc++ |
|
|
617 | 615 | |
|
|
618 | 616 | ''' |
|
|
619 | 617 | |
|
|
620 | 618 | id = self.__getNewId() |
|
|
621 | 619 | priority = self.__getPriority() # Sin mucho sentido, pero puede usarse |
|
|
622 | 620 | opConfObj = OperationConf() |
|
|
623 | 621 | opConfObj.setup(id, name=name, priority=priority, type=optype, project_id=self.project_id) |
|
|
624 | 622 | self.opConfObjList.append(opConfObj) |
|
|
625 | 623 | |
|
|
626 | 624 | return opConfObj |
|
|
627 | 625 | |
|
|
628 | 626 | def makeXml(self, projectElement): |
|
|
629 | 627 | |
|
|
630 | 628 | procUnitElement = SubElement(projectElement, self.ELEMENTNAME) |
|
|
631 | 629 | procUnitElement.set('id', str(self.id)) |
|
|
632 | 630 | procUnitElement.set('name', self.name) |
|
|
633 | 631 | procUnitElement.set('datatype', self.datatype) |
|
|
634 | 632 | procUnitElement.set('inputId', str(self.inputId)) |
|
|
635 | 633 | |
|
|
636 | 634 | for opConfObj in self.opConfObjList: |
|
|
637 | 635 | opConfObj.makeXml(procUnitElement) |
|
|
638 | 636 | |
|
|
639 | 637 | def readXml(self, upElement, project_id): |
|
|
640 | 638 | |
|
|
641 | 639 | self.id = upElement.get('id') |
|
|
642 | 640 | self.name = upElement.get('name') |
|
|
643 | 641 | self.datatype = upElement.get('datatype') |
|
|
644 | 642 | self.inputId = upElement.get('inputId') |
|
|
645 | 643 | self.project_id = str(project_id) |
|
|
646 | 644 | |
|
|
647 | 645 | if self.ELEMENTNAME == 'ReadUnit': |
|
|
648 | 646 | self.datatype = self.datatype.replace('Reader', '') |
|
|
649 | 647 | |
|
|
650 | 648 | if self.ELEMENTNAME == 'ProcUnit': |
|
|
651 | 649 | self.datatype = self.datatype.replace('Proc', '') |
|
|
652 | 650 | |
|
|
653 | 651 | if self.inputId == 'None': |
|
|
654 | 652 | self.inputId = '0' |
|
|
655 | 653 | |
|
|
656 | 654 | self.opConfObjList = [] |
|
|
657 | 655 | |
|
|
658 | 656 | opElementList = upElement.iter(OperationConf().getElementName()) |
|
|
659 | 657 | |
|
|
660 | 658 | for opElement in opElementList: |
|
|
661 | 659 | opConfObj = OperationConf() |
|
|
662 | 660 | opConfObj.readXml(opElement, project_id) |
|
|
663 | 661 | self.opConfObjList.append(opConfObj) |
|
|
664 | 662 | |
|
|
665 | 663 | def printattr(self): |
|
|
666 | 664 | |
|
|
667 | 665 | print('%s[%s]: name = %s, datatype = %s, inputId = %s, project_id = %s' % (self.ELEMENTNAME, |
|
|
668 | 666 | self.id, |
|
|
669 | 667 | self.name, |
|
|
670 | 668 | self.datatype, |
|
|
671 | 669 | self.inputId, |
|
|
672 | 670 | self.project_id)) |
|
|
673 | 671 | |
|
|
674 | 672 | for opConfObj in self.opConfObjList: |
|
|
675 | 673 | opConfObj.printattr() |
|
|
676 | 674 | |
|
|
677 | 675 | def getKwargs(self): |
|
|
678 | 676 | |
|
|
679 | 677 | opObj = self.opConfObjList[0] |
|
|
680 | 678 | kwargs = opObj.getKwargs() |
|
|
681 | 679 | |
|
|
682 | 680 | return kwargs |
|
|
683 | 681 | |
|
|
684 | 682 | def createObjects(self): |
|
|
685 | 683 | ''' |
|
|
686 | 684 | Instancia de unidades de procesamiento. |
|
|
687 | 685 | ''' |
|
|
688 | 686 | className = eval(self.name) |
|
|
689 | 687 | kwargs = self.getKwargs() |
|
|
690 | 688 | procUnitObj = className(self.id, self.inputId, self.project_id, **kwargs) # necesitan saber su id y su entrada por fines de ipc |
|
|
691 | 689 | log.success('creating process...', self.name) |
|
|
692 | 690 | |
|
|
693 | 691 | for opConfObj in self.opConfObjList: |
|
|
694 | 692 | |
|
|
695 | 693 | if opConfObj.type == 'self' and opConfObj.name == 'run': |
|
|
696 | 694 | continue |
|
|
697 | 695 | elif opConfObj.type == 'self': |
|
|
698 | 696 | opObj = getattr(procUnitObj, opConfObj.name) |
|
|
699 | 697 | else: |
|
|
700 | 698 | opObj = opConfObj.createObject() |
|
|
701 | 699 | |
|
|
702 | 700 | log.success('creating operation: {}, type:{}'.format( |
|
|
703 | 701 | opConfObj.name, |
|
|
704 | 702 | opConfObj.type), self.name) |
|
|
705 | 703 | |
|
|
706 | 704 | procUnitObj.addOperation(opConfObj, opObj) |
|
|
707 | 705 | |
|
|
708 | 706 | procUnitObj.start() |
|
|
709 | 707 | self.procUnitObj = procUnitObj |
|
|
710 | 708 | |
|
|
711 | 709 | def close(self): |
|
|
712 | 710 | |
|
|
713 | 711 | for opConfObj in self.opConfObjList: |
|
|
714 | 712 | if opConfObj.type == 'self': |
|
|
715 | 713 | continue |
|
|
716 | 714 | |
|
|
717 | 715 | opObj = self.procUnitObj.getOperationObj(opConfObj.id) |
|
|
718 | 716 | opObj.close() |
|
|
719 | 717 | |
|
|
720 | 718 | self.procUnitObj.close() |
|
|
721 | 719 | |
|
|
722 | 720 | return |
|
|
723 | 721 | |
|
|
724 | 722 | |
|
|
725 | 723 | class ReadUnitConf(ProcUnitConf): |
|
|
726 | 724 | |
|
|
727 | 725 | ELEMENTNAME = 'ReadUnit' |
|
|
728 | 726 | |
|
|
729 | 727 | def __init__(self): |
|
|
730 | 728 | |
|
|
731 | 729 | self.id = None |
|
|
732 | 730 | self.datatype = None |
|
|
733 | 731 | self.name = None |
|
|
734 | 732 | self.inputId = None |
|
|
735 | 733 | self.opConfObjList = [] |
|
|
736 | 734 | |
|
|
737 | 735 | def getElementName(self): |
|
|
738 | 736 | |
|
|
739 | 737 | return self.ELEMENTNAME |
|
|
740 | 738 | |
|
|
741 | 739 | def setup(self, project_id, id, name, datatype, path='', startDate='', endDate='', |
|
|
742 | 740 | startTime='', endTime='', server=None, **kwargs): |
|
|
743 | 741 | |
|
|
744 | 742 | |
|
|
745 | 743 | ''' |
|
|
746 | 744 | *****el id del proceso sera el Topico |
|
|
747 | 745 | |
|
|
748 | 746 | Adicion de {topic}, si no esta presente -> error |
|
|
749 | 747 | kwargs deben ser trasmitidos en la instanciacion |
|
|
750 | 748 | |
|
|
751 | 749 | ''' |
|
|
752 | 750 | |
|
|
753 | 751 | # Compatible with old signal chain version |
|
|
754 | 752 | if datatype == None and name == None: |
|
|
755 | 753 | raise ValueError('datatype or name should be defined') |
|
|
756 | 754 | if name == None: |
|
|
757 | 755 | if 'Reader' in datatype: |
|
|
758 | 756 | name = datatype |
|
|
759 | 757 | datatype = name.replace('Reader','') |
|
|
760 | 758 | else: |
|
|
761 | 759 | name = '{}Reader'.format(datatype) |
|
|
762 | 760 | if datatype == None: |
|
|
763 | 761 | if 'Reader' in name: |
|
|
764 | 762 | datatype = name.replace('Reader','') |
|
|
765 | 763 | else: |
|
|
766 | 764 | datatype = name |
|
|
767 | 765 | name = '{}Reader'.format(name) |
|
|
768 | 766 | |
|
|
769 | 767 | self.id = id |
|
|
770 | 768 | self.project_id = project_id |
|
|
771 | 769 | self.name = name |
|
|
772 | 770 | self.datatype = datatype |
|
|
773 | 771 | if path != '': |
|
|
774 | 772 | self.path = os.path.abspath(path) |
|
|
775 | 773 | self.startDate = startDate |
|
|
776 | 774 | self.endDate = endDate |
|
|
777 | 775 | self.startTime = startTime |
|
|
778 | 776 | self.endTime = endTime |
|
|
779 | 777 | self.server = server |
|
|
780 | 778 | self.addRunOperation(**kwargs) |
|
|
781 | 779 | |
|
|
782 | 780 | def update(self, **kwargs): |
|
|
783 | 781 | |
|
|
784 | 782 | if 'datatype' in kwargs: |
|
|
785 | 783 | datatype = kwargs.pop('datatype') |
|
|
786 | 784 | if 'Reader' in datatype: |
|
|
787 | 785 | self.name = datatype |
|
|
788 | 786 | else: |
|
|
789 | 787 | self.name = '%sReader' % (datatype) |
|
|
790 | 788 | self.datatype = self.name.replace('Reader', '') |
|
|
791 | 789 | |
|
|
792 | 790 | attrs = ('path', 'startDate', 'endDate', |
|
|
793 | 791 | 'startTime', 'endTime') |
|
|
794 | 792 | |
|
|
795 | 793 | for attr in attrs: |
|
|
796 | 794 | if attr in kwargs: |
|
|
797 | 795 | setattr(self, attr, kwargs.pop(attr)) |
|
|
798 | 796 | |
|
|
799 | 797 | self.updateRunOperation(**kwargs) |
|
|
800 | 798 | |
|
|
801 | 799 | def removeOperations(self): |
|
|
802 | 800 | |
|
|
803 | 801 | for obj in self.opConfObjList: |
|
|
804 | 802 | del obj |
|
|
805 | 803 | |
|
|
806 | 804 | self.opConfObjList = [] |
|
|
807 | 805 | |
|
|
808 | 806 | def addRunOperation(self, **kwargs): |
|
|
809 | 807 | |
|
|
810 | 808 | opObj = self.addOperation(name='run', optype='self') |
|
|
811 | 809 | |
|
|
812 | 810 | if self.server is None: |
|
|
813 | 811 | opObj.addParameter( |
|
|
814 | 812 | name='datatype', value=self.datatype, format='str') |
|
|
815 | 813 | opObj.addParameter(name='path', value=self.path, format='str') |
|
|
816 | 814 | opObj.addParameter( |
|
|
817 | 815 | name='startDate', value=self.startDate, format='date') |
|
|
818 | 816 | opObj.addParameter( |
|
|
819 | 817 | name='endDate', value=self.endDate, format='date') |
|
|
820 | 818 | opObj.addParameter( |
|
|
821 | 819 | name='startTime', value=self.startTime, format='time') |
|
|
822 | 820 | opObj.addParameter( |
|
|
823 | 821 | name='endTime', value=self.endTime, format='time') |
|
|
824 | 822 | |
|
|
825 | 823 | for key, value in list(kwargs.items()): |
|
|
826 | 824 | opObj.addParameter(name=key, value=value, |
|
|
827 | 825 | format=type(value).__name__) |
|
|
828 | 826 | else: |
|
|
829 | 827 | opObj.addParameter(name='server', value=self.server, format='str') |
|
|
830 | 828 | |
|
|
831 | 829 | return opObj |
|
|
832 | 830 | |
|
|
833 | 831 | def updateRunOperation(self, **kwargs): |
|
|
834 | 832 | |
|
|
835 | 833 | opObj = self.getOperationObj(name='run') |
|
|
836 | 834 | opObj.removeParameters() |
|
|
837 | 835 | |
|
|
838 | 836 | opObj.addParameter(name='datatype', value=self.datatype, format='str') |
|
|
839 | 837 | opObj.addParameter(name='path', value=self.path, format='str') |
|
|
840 | 838 | opObj.addParameter( |
|
|
841 | 839 | name='startDate', value=self.startDate, format='date') |
|
|
842 | 840 | opObj.addParameter(name='endDate', value=self.endDate, format='date') |
|
|
843 | 841 | opObj.addParameter( |
|
|
844 | 842 | name='startTime', value=self.startTime, format='time') |
|
|
845 | 843 | opObj.addParameter(name='endTime', value=self.endTime, format='time') |
|
|
846 | 844 | |
|
|
847 | 845 | for key, value in list(kwargs.items()): |
|
|
848 | 846 | opObj.addParameter(name=key, value=value, |
|
|
849 | 847 | format=type(value).__name__) |
|
|
850 | 848 | |
|
|
851 | 849 | return opObj |
|
|
852 | 850 | |
|
|
853 | 851 | def readXml(self, upElement, project_id): |
|
|
854 | 852 | |
|
|
855 | 853 | self.id = upElement.get('id') |
|
|
856 | 854 | self.name = upElement.get('name') |
|
|
857 | 855 | self.datatype = upElement.get('datatype') |
|
|
858 | 856 | self.project_id = str(project_id) #yong |
|
|
859 | 857 | |
|
|
860 | 858 | if self.ELEMENTNAME == 'ReadUnit': |
|
|
861 | 859 | self.datatype = self.datatype.replace('Reader', '') |
|
|
862 | 860 | |
|
|
863 | 861 | self.opConfObjList = [] |
|
|
864 | 862 | |
|
|
865 | 863 | opElementList = upElement.iter(OperationConf().getElementName()) |
|
|
866 | 864 | |
|
|
867 | 865 | for opElement in opElementList: |
|
|
868 | 866 | opConfObj = OperationConf() |
|
|
869 | 867 | opConfObj.readXml(opElement, project_id) |
|
|
870 | 868 | self.opConfObjList.append(opConfObj) |
|
|
871 | 869 | |
|
|
872 | 870 | if opConfObj.name == 'run': |
|
|
873 | 871 | self.path = opConfObj.getParameterValue('path') |
|
|
874 | 872 | self.startDate = opConfObj.getParameterValue('startDate') |
|
|
875 | 873 | self.endDate = opConfObj.getParameterValue('endDate') |
|
|
876 | 874 | self.startTime = opConfObj.getParameterValue('startTime') |
|
|
877 | 875 | self.endTime = opConfObj.getParameterValue('endTime') |
|
|
878 | 876 | |
|
|
879 | 877 | |
|
|
880 | 878 | class Project(Process): |
|
|
881 | 879 | |
|
|
882 | 880 | ELEMENTNAME = 'Project' |
|
|
883 | 881 | |
|
|
884 | 882 | def __init__(self): |
|
|
885 | 883 | |
|
|
886 | 884 | Process.__init__(self) |
|
|
887 | 885 | self.id = None |
|
|
888 | 886 | self.filename = None |
|
|
889 | 887 | self.description = None |
|
|
890 | 888 | self.email = None |
|
|
891 | 889 | self.alarm = None |
|
|
892 | 890 | self.procUnitConfObjDict = {} |
|
|
893 | 891 | |
|
|
894 | 892 | def __getNewId(self): |
|
|
895 | 893 | |
|
|
896 | 894 | idList = list(self.procUnitConfObjDict.keys()) |
|
|
897 | 895 | id = int(self.id) * 10 |
|
|
898 | 896 | |
|
|
899 | 897 | while True: |
|
|
900 | 898 | id += 1 |
|
|
901 | 899 | |
|
|
902 | 900 | if str(id) in idList: |
|
|
903 | 901 | continue |
|
|
904 | 902 | |
|
|
905 | 903 | break |
|
|
906 | 904 | |
|
|
907 | 905 | return str(id) |
|
|
908 | 906 | |
|
|
909 | 907 | def getElementName(self): |
|
|
910 | 908 | |
|
|
911 | 909 | return self.ELEMENTNAME |
|
|
912 | 910 | |
|
|
913 | 911 | def getId(self): |
|
|
914 | 912 | |
|
|
915 | 913 | return self.id |
|
|
916 | 914 | |
|
|
917 | 915 | def updateId(self, new_id): |
|
|
918 | 916 | |
|
|
919 | 917 | self.id = str(new_id) |
|
|
920 | 918 | |
|
|
921 | 919 | keyList = list(self.procUnitConfObjDict.keys()) |
|
|
922 | 920 | keyList.sort() |
|
|
923 | 921 | |
|
|
924 | 922 | n = 1 |
|
|
925 | 923 | newProcUnitConfObjDict = {} |
|
|
926 | 924 | |
|
|
927 | 925 | for procKey in keyList: |
|
|
928 | 926 | |
|
|
929 | 927 | procUnitConfObj = self.procUnitConfObjDict[procKey] |
|
|
930 | 928 | idProcUnit = str(int(self.id) * 10 + n) |
|
|
931 | 929 | procUnitConfObj.updateId(idProcUnit) |
|
|
932 | 930 | newProcUnitConfObjDict[idProcUnit] = procUnitConfObj |
|
|
933 | 931 | n += 1 |
|
|
934 | 932 | |
|
|
935 | 933 | self.procUnitConfObjDict = newProcUnitConfObjDict |
|
|
936 | 934 | |
|
|
937 | 935 | def setup(self, id=1, name='', description='', email=None, alarm=[]): |
|
|
938 | 936 | |
|
|
939 | 937 | print(' ') |
|
|
940 | 938 | print('*' * 60) |
|
|
941 | 939 | print('* Starting SIGNAL CHAIN PROCESSING (Multiprocessing) v%s *' % schainpy.__version__) |
|
|
942 | 940 | print('*' * 60) |
|
|
943 | 941 | print("* Python " + python_version() + " *") |
|
|
944 | 942 | print('*' * 19) |
|
|
945 | 943 | print(' ') |
|
|
946 | 944 | self.id = str(id) |
|
|
947 | 945 | self.description = description |
|
|
948 | 946 | self.email = email |
|
|
949 | 947 | self.alarm = alarm |
|
|
950 | 948 | |
|
|
951 | 949 | def update(self, **kwargs): |
|
|
952 | 950 | |
|
|
953 | 951 | for key, value in list(kwargs.items()): |
|
|
954 | 952 | setattr(self, key, value) |
|
|
955 | 953 | |
|
|
956 | 954 | def clone(self): |
|
|
957 | 955 | |
|
|
958 | 956 | p = Project() |
|
|
959 | 957 | p.procUnitConfObjDict = self.procUnitConfObjDict |
|
|
960 | 958 | return p |
|
|
961 | 959 | |
|
|
962 | 960 | def addReadUnit(self, id=None, datatype=None, name=None, **kwargs): |
|
|
963 | 961 | |
|
|
964 | 962 | ''' |
|
|
965 | 963 | Actualizacion: |
|
|
966 | 964 | Se agrego un nuevo argumento: topic -relativo a la forma de comunicar los procesos simultaneos |
|
|
967 | 965 | |
|
|
968 | 966 | * El id del proceso sera el topico al que se deben subscribir los procUnits para recibir la informacion(data) |
|
|
969 | 967 | |
|
|
970 | 968 | ''' |
|
|
971 | 969 | |
|
|
972 | 970 | if id is None: |
|
|
973 | 971 | idReadUnit = self.__getNewId() |
|
|
974 | 972 | else: |
|
|
975 | 973 | idReadUnit = str(id) |
|
|
976 | 974 | |
|
|
977 | 975 | readUnitConfObj = ReadUnitConf() |
|
|
978 | 976 | readUnitConfObj.setup(self.id, idReadUnit, name, datatype, **kwargs) |
|
|
979 | 977 | self.procUnitConfObjDict[readUnitConfObj.getId()] = readUnitConfObj |
|
|
980 | 978 | |
|
|
981 | 979 | return readUnitConfObj |
|
|
982 | 980 | |
|
|
983 | 981 | def addProcUnit(self, inputId='0', datatype=None, name=None): |
|
|
984 | 982 | |
|
|
985 | 983 | ''' |
|
|
986 | 984 | Actualizacion: |
|
|
987 | 985 | Se agrego dos nuevos argumentos: topic_read (lee data de otro procUnit) y topic_write(escribe o envia data a otro procUnit) |
|
|
988 | 986 | Deberia reemplazar a "inputId" |
|
|
989 | 987 | |
|
|
990 | 988 | ** A fin de mantener el inputID, este sera la representaacion del topicoal que deben subscribirse. El ID propio de la intancia |
|
|
991 | 989 | (proceso) sera el topico de la publicacion, todo sera asignado de manera dinamica. |
|
|
992 | 990 | |
|
|
993 | 991 | ''' |
|
|
994 | 992 | |
|
|
995 | 993 | idProcUnit = self.__getNewId() #Topico para subscripcion |
|
|
996 | 994 | procUnitConfObj = ProcUnitConf() |
|
|
997 | 995 | procUnitConfObj.setup(self.id, idProcUnit, name, datatype, inputId) #topic_read, topic_write, |
|
|
998 | 996 | self.procUnitConfObjDict[procUnitConfObj.getId()] = procUnitConfObj |
|
|
999 | 997 | |
|
|
1000 | 998 | return procUnitConfObj |
|
|
1001 | 999 | |
|
|
1002 | 1000 | def removeProcUnit(self, id): |
|
|
1003 | 1001 | |
|
|
1004 | 1002 | if id in list(self.procUnitConfObjDict.keys()): |
|
|
1005 | 1003 | self.procUnitConfObjDict.pop(id) |
|
|
1006 | 1004 | |
|
|
1007 | 1005 | def getReadUnitId(self): |
|
|
1008 | 1006 | |
|
|
1009 | 1007 | readUnitConfObj = self.getReadUnitObj() |
|
|
1010 | 1008 | |
|
|
1011 | 1009 | return readUnitConfObj.id |
|
|
1012 | 1010 | |
|
|
1013 | 1011 | def getReadUnitObj(self): |
|
|
1014 | 1012 | |
|
|
1015 | 1013 | for obj in list(self.procUnitConfObjDict.values()): |
|
|
1016 | 1014 | if obj.getElementName() == 'ReadUnit': |
|
|
1017 | 1015 | return obj |
|
|
1018 | 1016 | |
|
|
1019 | 1017 | return None |
|
|
1020 | 1018 | |
|
|
1021 | 1019 | def getProcUnitObj(self, id=None, name=None): |
|
|
1022 | 1020 | |
|
|
1023 | 1021 | if id != None: |
|
|
1024 | 1022 | return self.procUnitConfObjDict[id] |
|
|
1025 | 1023 | |
|
|
1026 | 1024 | if name != None: |
|
|
1027 | 1025 | return self.getProcUnitObjByName(name) |
|
|
1028 | 1026 | |
|
|
1029 | 1027 | return None |
|
|
1030 | 1028 | |
|
|
1031 | 1029 | def getProcUnitObjByName(self, name): |
|
|
1032 | 1030 | |
|
|
1033 | 1031 | for obj in list(self.procUnitConfObjDict.values()): |
|
|
1034 | 1032 | if obj.name == name: |
|
|
1035 | 1033 | return obj |
|
|
1036 | 1034 | |
|
|
1037 | 1035 | return None |
|
|
1038 | 1036 | |
|
|
1039 | 1037 | def procUnitItems(self): |
|
|
1040 | 1038 | |
|
|
1041 | 1039 | return list(self.procUnitConfObjDict.items()) |
|
|
1042 | 1040 | |
|
|
1043 | 1041 | def makeXml(self): |
|
|
1044 | 1042 | |
|
|
1045 | 1043 | projectElement = Element('Project') |
|
|
1046 | 1044 | projectElement.set('id', str(self.id)) |
|
|
1047 | 1045 | projectElement.set('name', self.name) |
|
|
1048 | 1046 | projectElement.set('description', self.description) |
|
|
1049 | 1047 | |
|
|
1050 | 1048 | for procUnitConfObj in list(self.procUnitConfObjDict.values()): |
|
|
1051 | 1049 | procUnitConfObj.makeXml(projectElement) |
|
|
1052 | 1050 | |
|
|
1053 | 1051 | self.projectElement = projectElement |
|
|
1054 | 1052 | |
|
|
1055 | 1053 | def writeXml(self, filename=None): |
|
|
1056 | 1054 | |
|
|
1057 | 1055 | if filename == None: |
|
|
1058 | 1056 | if self.filename: |
|
|
1059 | 1057 | filename = self.filename |
|
|
1060 | 1058 | else: |
|
|
1061 | 1059 | filename = 'schain.xml' |
|
|
1062 | 1060 | |
|
|
1063 | 1061 | if not filename: |
|
|
1064 | 1062 | print('filename has not been defined. Use setFilename(filename) for do it.') |
|
|
1065 | 1063 | return 0 |
|
|
1066 | 1064 | |
|
|
1067 | 1065 | abs_file = os.path.abspath(filename) |
|
|
1068 | 1066 | |
|
|
1069 | 1067 | if not os.access(os.path.dirname(abs_file), os.W_OK): |
|
|
1070 | 1068 | print('No write permission on %s' % os.path.dirname(abs_file)) |
|
|
1071 | 1069 | return 0 |
|
|
1072 | 1070 | |
|
|
1073 | 1071 | if os.path.isfile(abs_file) and not(os.access(abs_file, os.W_OK)): |
|
|
1074 | 1072 | print('File %s already exists and it could not be overwriten' % abs_file) |
|
|
1075 | 1073 | return 0 |
|
|
1076 | 1074 | |
|
|
1077 | 1075 | self.makeXml() |
|
|
1078 | 1076 | |
|
|
1079 | 1077 | ElementTree(self.projectElement).write(abs_file, method='xml') |
|
|
1080 | 1078 | |
|
|
1081 | 1079 | self.filename = abs_file |
|
|
1082 | 1080 | |
|
|
1083 | 1081 | return 1 |
|
|
1084 | 1082 | |
|
|
1085 | 1083 | def readXml(self, filename=None): |
|
|
1086 | 1084 | |
|
|
1087 | 1085 | if not filename: |
|
|
1088 | 1086 | print('filename is not defined') |
|
|
1089 | 1087 | return 0 |
|
|
1090 | 1088 | |
|
|
1091 | 1089 | abs_file = os.path.abspath(filename) |
|
|
1092 | 1090 | |
|
|
1093 | 1091 | if not os.path.isfile(abs_file): |
|
|
1094 | 1092 | print('%s file does not exist' % abs_file) |
|
|
1095 | 1093 | return 0 |
|
|
1096 | 1094 | |
|
|
1097 | 1095 | self.projectElement = None |
|
|
1098 | 1096 | self.procUnitConfObjDict = {} |
|
|
1099 | 1097 | |
|
|
1100 | 1098 | try: |
|
|
1101 | 1099 | self.projectElement = ElementTree().parse(abs_file) |
|
|
1102 | 1100 | except: |
|
|
1103 | 1101 | print('Error reading %s, verify file format' % filename) |
|
|
1104 | 1102 | return 0 |
|
|
1105 | 1103 | |
|
|
1106 | 1104 | self.project = self.projectElement.tag |
|
|
1107 | 1105 | |
|
|
1108 | 1106 | self.id = self.projectElement.get('id') |
|
|
1109 | 1107 | self.name = self.projectElement.get('name') |
|
|
1110 | 1108 | self.description = self.projectElement.get('description') |
|
|
1111 | 1109 | |
|
|
1112 | 1110 | readUnitElementList = self.projectElement.iter( |
|
|
1113 | 1111 | ReadUnitConf().getElementName()) |
|
|
1114 | 1112 | |
|
|
1115 | 1113 | for readUnitElement in readUnitElementList: |
|
|
1116 | 1114 | readUnitConfObj = ReadUnitConf() |
|
|
1117 | 1115 | readUnitConfObj.readXml(readUnitElement, self.id) |
|
|
1118 | 1116 | self.procUnitConfObjDict[readUnitConfObj.getId()] = readUnitConfObj |
|
|
1119 | 1117 | |
|
|
1120 | 1118 | procUnitElementList = self.projectElement.iter( |
|
|
1121 | 1119 | ProcUnitConf().getElementName()) |
|
|
1122 | 1120 | |
|
|
1123 | 1121 | for procUnitElement in procUnitElementList: |
|
|
1124 | 1122 | procUnitConfObj = ProcUnitConf() |
|
|
1125 | 1123 | procUnitConfObj.readXml(procUnitElement, self.id) |
|
|
1126 | 1124 | self.procUnitConfObjDict[procUnitConfObj.getId()] = procUnitConfObj |
|
|
1127 | 1125 | |
|
|
1128 | 1126 | self.filename = abs_file |
|
|
1129 | 1127 | |
|
|
1130 | 1128 | return 1 |
|
|
1131 | 1129 | |
|
|
1132 | 1130 | def __str__(self): |
|
|
1133 | 1131 | |
|
|
1134 | 1132 | print('Project[%s]: name = %s, description = %s, project_id = %s' % (self.id, |
|
|
1135 | 1133 | self.name, |
|
|
1136 | 1134 | self.description, |
|
|
1137 | 1135 | self.project_id)) |
|
|
1138 | 1136 | |
|
|
1139 | 1137 | for procUnitConfObj in self.procUnitConfObjDict.values(): |
|
|
1140 | 1138 | print(procUnitConfObj) |
|
|
1141 | 1139 | |
|
|
1142 | 1140 | def createObjects(self): |
|
|
1143 | 1141 | |
|
|
1144 | 1142 | for procUnitConfObj in self.procUnitConfObjDict.values(): |
|
|
1145 | 1143 | procUnitConfObj.createObjects() |
|
|
1146 | 1144 | |
|
|
1147 | 1145 | def __handleError(self, procUnitConfObj, modes=None, stdout=True): |
|
|
1148 | 1146 | |
|
|
1149 | 1147 | import socket |
|
|
1150 | 1148 | |
|
|
1151 | 1149 | if modes is None: |
|
|
1152 | 1150 | modes = self.alarm |
|
|
1153 | 1151 | |
|
|
1154 | 1152 | if not self.alarm: |
|
|
1155 | 1153 | modes = [] |
|
|
1156 | 1154 | |
|
|
1157 | 1155 | err = traceback.format_exception(sys.exc_info()[0], |
|
|
1158 | 1156 | sys.exc_info()[1], |
|
|
1159 | 1157 | sys.exc_info()[2]) |
|
|
1160 | 1158 | |
|
|
1161 | 1159 | log.error('{}'.format(err[-1]), procUnitConfObj.name) |
|
|
1162 | 1160 | |
|
|
1163 | 1161 | message = ''.join(err) |
|
|
1164 | 1162 | |
|
|
1165 | 1163 | if stdout: |
|
|
1166 | 1164 | sys.stderr.write(message) |
|
|
1167 | 1165 | |
|
|
1168 | 1166 | subject = 'SChain v%s: Error running %s\n' % ( |
|
|
1169 | 1167 | schainpy.__version__, procUnitConfObj.name) |
|
|
1170 | 1168 | |
|
|
1171 | 1169 | subtitle = '%s: %s\n' % ( |
|
|
1172 | 1170 | procUnitConfObj.getElementName(), procUnitConfObj.name) |
|
|
1173 | 1171 | subtitle += 'Hostname: %s\n' % socket.gethostbyname( |
|
|
1174 | 1172 | socket.gethostname()) |
|
|
1175 | 1173 | subtitle += 'Working directory: %s\n' % os.path.abspath('./') |
|
|
1176 | 1174 | subtitle += 'Configuration file: %s\n' % self.filename |
|
|
1177 | 1175 | subtitle += 'Time: %s\n' % str(datetime.datetime.now()) |
|
|
1178 | 1176 | |
|
|
1179 | 1177 | readUnitConfObj = self.getReadUnitObj() |
|
|
1180 | 1178 | if readUnitConfObj: |
|
|
1181 | 1179 | subtitle += '\nInput parameters:\n' |
|
|
1182 | 1180 | subtitle += '[Data path = %s]\n' % readUnitConfObj.path |
|
|
1183 | 1181 | subtitle += '[Data type = %s]\n' % readUnitConfObj.datatype |
|
|
1184 | 1182 | subtitle += '[Start date = %s]\n' % readUnitConfObj.startDate |
|
|
1185 | 1183 | subtitle += '[End date = %s]\n' % readUnitConfObj.endDate |
|
|
1186 | 1184 | subtitle += '[Start time = %s]\n' % readUnitConfObj.startTime |
|
|
1187 | 1185 | subtitle += '[End time = %s]\n' % readUnitConfObj.endTime |
|
|
1188 | 1186 | |
|
|
1189 | 1187 | a = Alarm( |
|
|
1190 | 1188 | modes=modes, |
|
|
1191 | 1189 | email=self.email, |
|
|
1192 | 1190 | message=message, |
|
|
1193 | 1191 | subject=subject, |
|
|
1194 | 1192 | subtitle=subtitle, |
|
|
1195 | 1193 | filename=self.filename |
|
|
1196 | 1194 | ) |
|
|
1197 | 1195 | |
|
|
1198 | 1196 | return a |
|
|
1199 | 1197 | |
|
|
1200 | 1198 | def isPaused(self): |
|
|
1201 | 1199 | return 0 |
|
|
1202 | 1200 | |
|
|
1203 | 1201 | def isStopped(self): |
|
|
1204 | 1202 | return 0 |
|
|
1205 | 1203 | |
|
|
1206 | 1204 | def runController(self): |
|
|
1207 | 1205 | ''' |
|
|
1208 | 1206 | returns 0 when this process has been stopped, 1 otherwise |
|
|
1209 | 1207 | ''' |
|
|
1210 | 1208 | |
|
|
1211 | 1209 | if self.isPaused(): |
|
|
1212 | 1210 | print('Process suspended') |
|
|
1213 | 1211 | |
|
|
1214 | 1212 | while True: |
|
|
1215 | 1213 | time.sleep(0.1) |
|
|
1216 | 1214 | |
|
|
1217 | 1215 | if not self.isPaused(): |
|
|
1218 | 1216 | break |
|
|
1219 | 1217 | |
|
|
1220 | 1218 | if self.isStopped(): |
|
|
1221 | 1219 | break |
|
|
1222 | 1220 | |
|
|
1223 | 1221 | print('Process reinitialized') |
|
|
1224 | 1222 | |
|
|
1225 | 1223 | if self.isStopped(): |
|
|
1226 | 1224 | print('Process stopped') |
|
|
1227 | 1225 | return 0 |
|
|
1228 | 1226 | |
|
|
1229 | 1227 | return 1 |
|
|
1230 | 1228 | |
|
|
1231 | 1229 | def setFilename(self, filename): |
|
|
1232 | 1230 | |
|
|
1233 | 1231 | self.filename = filename |
|
|
1234 | 1232 | |
|
|
1235 | 1233 | def setProxyCom(self): |
|
|
1236 | 1234 | |
|
|
1237 | 1235 | if not os.path.exists('/tmp/schain'): |
|
|
1238 | 1236 | os.mkdir('/tmp/schain') |
|
|
1239 | 1237 | |
|
|
1240 | 1238 | self.ctx = zmq.Context() |
|
|
1241 | 1239 | xpub = self.ctx.socket(zmq.XPUB) |
|
|
1242 | 1240 | xpub.bind('ipc:///tmp/schain/{}_pub'.format(self.id)) |
|
|
1243 | 1241 | xsub = self.ctx.socket(zmq.XSUB) |
|
|
1244 | 1242 | xsub.bind('ipc:///tmp/schain/{}_sub'.format(self.id)) |
|
|
1245 | 1243 | |
|
|
1246 | 1244 | try: |
|
|
1247 | 1245 | zmq.proxy(xpub, xsub) |
|
|
1248 | except zmq.ContextTerminated: | |
|
|
1246 | except: # zmq.ContextTerminated: | |
|
|
1249 | 1247 | xpub.close() |
|
|
1250 | 1248 | xsub.close() |
|
|
1251 | 1249 | |
|
|
1252 | 1250 | def run(self): |
|
|
1253 | 1251 | |
|
|
1254 | 1252 | log.success('Starting {}: {}'.format(self.name, self.id), tag='') |
|
|
1255 | 1253 | self.start_time = time.time() |
|
|
1256 | 1254 | self.createObjects() |
|
|
1257 | 1255 | # t = Thread(target=wait, args=(self.ctx, )) |
|
|
1258 | 1256 | # t.start() |
|
|
1259 | 1257 | self.setProxyCom() |
|
|
1260 | 1258 | |
|
|
1261 | 1259 | # Iniciar todos los procesos .start(), monitoreo de procesos. ELiminar lo de abajo |
|
|
1262 | 1260 | |
|
|
1263 |
log.success('{} |
|
|
|
1261 | log.success('{} Done (time: {}s)'.format( | |
|
|
1264 | 1262 | self.name, |
|
|
1265 | 1263 | time.time()-self.start_time)) |
| @@ -1,1251 +1,1342 | |||
|
|
1 | 1 | ''' |
|
|
2 | 2 | |
|
|
3 | 3 | $Author: murco $ |
|
|
4 | 4 | $Id: JROData.py 173 2012-11-20 15:06:21Z murco $ |
|
|
5 | 5 | ''' |
|
|
6 | 6 | |
|
|
7 | 7 | import copy |
|
|
8 | 8 | import numpy |
|
|
9 | 9 | import datetime |
|
|
10 | import json | |
|
|
10 | 11 | |
|
|
12 | from schainpy.utils import log | |
|
|
11 | 13 | from .jroheaderIO import SystemHeader, RadarControllerHeader |
|
|
12 | 14 | |
|
|
13 | 15 | |
|
|
14 | 16 | def getNumpyDtype(dataTypeCode): |
|
|
15 | 17 | |
|
|
16 | 18 | if dataTypeCode == 0: |
|
|
17 | 19 | numpyDtype = numpy.dtype([('real', '<i1'), ('imag', '<i1')]) |
|
|
18 | 20 | elif dataTypeCode == 1: |
|
|
19 | 21 | numpyDtype = numpy.dtype([('real', '<i2'), ('imag', '<i2')]) |
|
|
20 | 22 | elif dataTypeCode == 2: |
|
|
21 | 23 | numpyDtype = numpy.dtype([('real', '<i4'), ('imag', '<i4')]) |
|
|
22 | 24 | elif dataTypeCode == 3: |
|
|
23 | 25 | numpyDtype = numpy.dtype([('real', '<i8'), ('imag', '<i8')]) |
|
|
24 | 26 | elif dataTypeCode == 4: |
|
|
25 | 27 | numpyDtype = numpy.dtype([('real', '<f4'), ('imag', '<f4')]) |
|
|
26 | 28 | elif dataTypeCode == 5: |
|
|
27 | 29 | numpyDtype = numpy.dtype([('real', '<f8'), ('imag', '<f8')]) |
|
|
28 | 30 | else: |
|
|
29 | 31 | raise ValueError('dataTypeCode was not defined') |
|
|
30 | 32 | |
|
|
31 | 33 | return numpyDtype |
|
|
32 | 34 | |
|
|
33 | 35 | |
|
|
34 | 36 | def getDataTypeCode(numpyDtype): |
|
|
35 | 37 | |
|
|
36 | 38 | if numpyDtype == numpy.dtype([('real', '<i1'), ('imag', '<i1')]): |
|
|
37 | 39 | datatype = 0 |
|
|
38 | 40 | elif numpyDtype == numpy.dtype([('real', '<i2'), ('imag', '<i2')]): |
|
|
39 | 41 | datatype = 1 |
|
|
40 | 42 | elif numpyDtype == numpy.dtype([('real', '<i4'), ('imag', '<i4')]): |
|
|
41 | 43 | datatype = 2 |
|
|
42 | 44 | elif numpyDtype == numpy.dtype([('real', '<i8'), ('imag', '<i8')]): |
|
|
43 | 45 | datatype = 3 |
|
|
44 | 46 | elif numpyDtype == numpy.dtype([('real', '<f4'), ('imag', '<f4')]): |
|
|
45 | 47 | datatype = 4 |
|
|
46 | 48 | elif numpyDtype == numpy.dtype([('real', '<f8'), ('imag', '<f8')]): |
|
|
47 | 49 | datatype = 5 |
|
|
48 | 50 | else: |
|
|
49 | 51 | datatype = None |
|
|
50 | 52 | |
|
|
51 | 53 | return datatype |
|
|
52 | 54 | |
|
|
53 | 55 | |
|
|
54 | 56 | def hildebrand_sekhon(data, navg): |
|
|
55 | 57 | """ |
|
|
56 | 58 | This method is for the objective determination of the noise level in Doppler spectra. This |
|
|
57 | 59 | implementation technique is based on the fact that the standard deviation of the spectral |
|
|
58 | 60 | densities is equal to the mean spectral density for white Gaussian noise |
|
|
59 | 61 | |
|
|
60 | 62 | Inputs: |
|
|
61 | 63 | Data : heights |
|
|
62 | 64 | navg : numbers of averages |
|
|
63 | 65 | |
|
|
64 | 66 | Return: |
|
|
65 | 67 | mean : noise's level |
|
|
66 | 68 | """ |
|
|
67 | 69 | |
|
|
68 | 70 | sortdata = numpy.sort(data, axis=None) |
|
|
69 | 71 | lenOfData = len(sortdata) |
|
|
70 | 72 | nums_min = lenOfData*0.2 |
|
|
71 | 73 | |
|
|
72 | 74 | if nums_min <= 5: |
|
|
73 | 75 | |
|
|
74 | 76 | nums_min = 5 |
|
|
75 | 77 | |
|
|
76 | 78 | sump = 0. |
|
|
77 | 79 | sumq = 0. |
|
|
78 | 80 | |
|
|
79 | 81 | j = 0 |
|
|
80 | 82 | cont = 1 |
|
|
81 | 83 | |
|
|
82 | while((cont==1)and(j<lenOfData)): | |
|
|
84 | while((cont == 1)and(j < lenOfData)): | |
|
|
83 | 85 | |
|
|
84 | 86 | sump += sortdata[j] |
|
|
85 | 87 | sumq += sortdata[j]**2 |
|
|
86 | 88 | |
|
|
87 | 89 | if j > nums_min: |
|
|
88 | 90 | rtest = float(j)/(j-1) + 1.0/navg |
|
|
89 | 91 | if ((sumq*j) > (rtest*sump**2)): |
|
|
90 | 92 | j = j - 1 |
|
|
91 |
sump |
|
|
|
92 |
sumq = |
|
|
|
93 | sump = sump - sortdata[j] | |
|
|
94 | sumq = sumq - sortdata[j]**2 | |
|
|
93 | 95 | cont = 0 |
|
|
94 | 96 | |
|
|
95 | 97 | j += 1 |
|
|
96 | 98 | |
|
|
97 | lnoise = sump /j | |
|
|
99 | lnoise = sump / j | |
|
|
98 | 100 | |
|
|
99 | 101 | return lnoise |
|
|
100 | 102 | |
|
|
101 | 103 | |
|
|
102 | 104 | class Beam: |
|
|
103 | 105 | |
|
|
104 | 106 | def __init__(self): |
|
|
105 | 107 | self.codeList = [] |
|
|
106 | 108 | self.azimuthList = [] |
|
|
107 | 109 | self.zenithList = [] |
|
|
108 | 110 | |
|
|
109 | 111 | |
|
|
110 | 112 | class GenericData(object): |
|
|
111 | 113 | |
|
|
112 | 114 | flagNoData = True |
|
|
113 | 115 | |
|
|
114 | 116 | def copy(self, inputObj=None): |
|
|
115 | 117 | |
|
|
116 | 118 | if inputObj == None: |
|
|
117 | 119 | return copy.deepcopy(self) |
|
|
118 | 120 | |
|
|
119 | 121 | for key in list(inputObj.__dict__.keys()): |
|
|
120 | 122 | |
|
|
121 | 123 | attribute = inputObj.__dict__[key] |
|
|
122 | 124 | |
|
|
123 | 125 | # If this attribute is a tuple or list |
|
|
124 | 126 | if type(inputObj.__dict__[key]) in (tuple, list): |
|
|
125 | 127 | self.__dict__[key] = attribute[:] |
|
|
126 | 128 | continue |
|
|
127 | 129 | |
|
|
128 | 130 | # If this attribute is another object or instance |
|
|
129 | 131 | if hasattr(attribute, '__dict__'): |
|
|
130 | 132 | self.__dict__[key] = attribute.copy() |
|
|
131 | 133 | continue |
|
|
132 | 134 | |
|
|
133 | 135 | self.__dict__[key] = inputObj.__dict__[key] |
|
|
134 | 136 | |
|
|
135 | 137 | def deepcopy(self): |
|
|
136 | 138 | |
|
|
137 | 139 | return copy.deepcopy(self) |
|
|
138 | 140 | |
|
|
139 | 141 | def isEmpty(self): |
|
|
140 | 142 | |
|
|
141 | 143 | return self.flagNoData |
|
|
142 | 144 | |
|
|
143 | 145 | |
|
|
144 | 146 | class JROData(GenericData): |
|
|
145 | 147 | |
|
|
146 | 148 | # m_BasicHeader = BasicHeader() |
|
|
147 | 149 | # m_ProcessingHeader = ProcessingHeader() |
|
|
148 | 150 | |
|
|
149 | 151 | systemHeaderObj = SystemHeader() |
|
|
150 | ||
|
|
151 | 152 | radarControllerHeaderObj = RadarControllerHeader() |
|
|
152 | ||
|
|
153 | 153 | # data = None |
|
|
154 | ||
|
|
155 | 154 | type = None |
|
|
156 | ||
|
|
157 | 155 | datatype = None # dtype but in string |
|
|
158 | ||
|
|
159 | 156 | # dtype = None |
|
|
160 | ||
|
|
161 | 157 | # nChannels = None |
|
|
162 | ||
|
|
163 | 158 | # nHeights = None |
|
|
164 | ||
|
|
165 | 159 | nProfiles = None |
|
|
166 | ||
|
|
167 | 160 | heightList = None |
|
|
168 | ||
|
|
169 | 161 | channelList = None |
|
|
170 | ||
|
|
171 | 162 | flagDiscontinuousBlock = False |
|
|
172 | ||
|
|
173 | 163 | useLocalTime = False |
|
|
174 | ||
|
|
175 | 164 | utctime = None |
|
|
176 | ||
|
|
177 | 165 | timeZone = None |
|
|
178 | ||
|
|
179 | 166 | dstFlag = None |
|
|
180 | ||
|
|
181 | 167 | errorCount = None |
|
|
182 | ||
|
|
183 | 168 | blocksize = None |
|
|
184 | ||
|
|
185 | 169 | # nCode = None |
|
|
186 | # | |
|
|
187 | 170 | # nBaud = None |
|
|
188 | # | |
|
|
189 | 171 | # code = None |
|
|
190 | ||
|
|
191 | 172 | flagDecodeData = False # asumo q la data no esta decodificada |
|
|
192 | ||
|
|
193 | 173 | flagDeflipData = False # asumo q la data no esta sin flip |
|
|
194 | ||
|
|
195 | 174 | flagShiftFFT = False |
|
|
196 | ||
|
|
197 | 175 | # ippSeconds = None |
|
|
198 | ||
|
|
199 | 176 | # timeInterval = None |
|
|
200 | ||
|
|
201 | 177 | nCohInt = None |
|
|
202 | ||
|
|
203 | 178 | # noise = None |
|
|
204 | ||
|
|
205 | 179 | windowOfFilter = 1 |
|
|
206 | ||
|
|
207 | 180 | # Speed of ligth |
|
|
208 | 181 | C = 3e8 |
|
|
209 | ||
|
|
210 | 182 | frequency = 49.92e6 |
|
|
211 | ||
|
|
212 | 183 | realtime = False |
|
|
213 | ||
|
|
214 | 184 | beacon_heiIndexList = None |
|
|
215 | ||
|
|
216 | 185 | last_block = None |
|
|
217 | ||
|
|
218 | 186 | blocknow = None |
|
|
219 | ||
|
|
220 | 187 | azimuth = None |
|
|
221 | ||
|
|
222 | 188 | zenith = None |
|
|
223 | ||
|
|
224 | 189 | beam = Beam() |
|
|
225 | ||
|
|
226 | 190 | profileIndex = None |
|
|
191 | error = None | |
|
|
192 | data = None | |
|
|
193 | data_plt = None | |
|
|
227 | 194 | |
|
|
228 | error = (0, '') | |
|
|
229 | 195 | |
|
|
230 | 196 | def __str__(self): |
|
|
231 | 197 | |
|
|
232 | 198 | return '{} - {}'.format(self.type, self.getDatatime()) |
|
|
233 | 199 | |
|
|
234 | 200 | def getNoise(self): |
|
|
235 | 201 | |
|
|
236 | 202 | raise NotImplementedError |
|
|
237 | 203 | |
|
|
238 | 204 | def getNChannels(self): |
|
|
239 | 205 | |
|
|
240 | 206 | return len(self.channelList) |
|
|
241 | 207 | |
|
|
242 | 208 | def getChannelIndexList(self): |
|
|
243 | 209 | |
|
|
244 | 210 | return list(range(self.nChannels)) |
|
|
245 | 211 | |
|
|
246 | 212 | def getNHeights(self): |
|
|
247 | 213 | |
|
|
248 | 214 | return len(self.heightList) |
|
|
249 | 215 | |
|
|
250 | 216 | def getHeiRange(self, extrapoints=0): |
|
|
251 | 217 | |
|
|
252 | 218 | heis = self.heightList |
|
|
253 | 219 | # deltah = self.heightList[1] - self.heightList[0] |
|
|
254 | 220 | # |
|
|
255 | 221 | # heis.append(self.heightList[-1]) |
|
|
256 | 222 | |
|
|
257 | 223 | return heis |
|
|
258 | 224 | |
|
|
259 | 225 | def getDeltaH(self): |
|
|
260 | 226 | |
|
|
261 | 227 | delta = self.heightList[1] - self.heightList[0] |
|
|
262 | 228 | |
|
|
263 | 229 | return delta |
|
|
264 | 230 | |
|
|
265 | 231 | def getltctime(self): |
|
|
266 | 232 | |
|
|
267 | 233 | if self.useLocalTime: |
|
|
268 | 234 | return self.utctime - self.timeZone * 60 |
|
|
269 | 235 | |
|
|
270 | 236 | return self.utctime |
|
|
271 | 237 | |
|
|
272 | 238 | def getDatatime(self): |
|
|
273 | 239 | |
|
|
274 | 240 | datatimeValue = datetime.datetime.utcfromtimestamp(self.ltctime) |
|
|
275 | 241 | return datatimeValue |
|
|
276 | 242 | |
|
|
277 | 243 | def getTimeRange(self): |
|
|
278 | 244 | |
|
|
279 | 245 | datatime = [] |
|
|
280 | 246 | |
|
|
281 | 247 | datatime.append(self.ltctime) |
|
|
282 | 248 | datatime.append(self.ltctime + self.timeInterval + 1) |
|
|
283 | 249 | |
|
|
284 | 250 | datatime = numpy.array(datatime) |
|
|
285 | 251 | |
|
|
286 | 252 | return datatime |
|
|
287 | 253 | |
|
|
288 | 254 | def getFmaxTimeResponse(self): |
|
|
289 | 255 | |
|
|
290 | 256 | period = (10**-6) * self.getDeltaH() / (0.15) |
|
|
291 | 257 | |
|
|
292 | 258 | PRF = 1. / (period * self.nCohInt) |
|
|
293 | 259 | |
|
|
294 | 260 | fmax = PRF |
|
|
295 | 261 | |
|
|
296 | 262 | return fmax |
|
|
297 | 263 | |
|
|
298 | 264 | def getFmax(self): |
|
|
299 | 265 | PRF = 1. / (self.ippSeconds * self.nCohInt) |
|
|
300 | 266 | |
|
|
301 | 267 | fmax = PRF |
|
|
302 | 268 | return fmax |
|
|
303 | 269 | |
|
|
304 | 270 | def getVmax(self): |
|
|
305 | 271 | |
|
|
306 | 272 | _lambda = self.C / self.frequency |
|
|
307 | 273 | |
|
|
308 | 274 | vmax = self.getFmax() * _lambda / 2 |
|
|
309 | 275 | |
|
|
310 | 276 | return vmax |
|
|
311 | 277 | |
|
|
312 | 278 | def get_ippSeconds(self): |
|
|
313 | 279 | ''' |
|
|
314 | 280 | ''' |
|
|
315 | 281 | return self.radarControllerHeaderObj.ippSeconds |
|
|
316 | 282 | |
|
|
317 | 283 | def set_ippSeconds(self, ippSeconds): |
|
|
318 | 284 | ''' |
|
|
319 | 285 | ''' |
|
|
320 | 286 | |
|
|
321 | 287 | self.radarControllerHeaderObj.ippSeconds = ippSeconds |
|
|
322 | 288 | |
|
|
323 | 289 | return |
|
|
324 | 290 | |
|
|
325 | 291 | def get_dtype(self): |
|
|
326 | 292 | ''' |
|
|
327 | 293 | ''' |
|
|
328 | 294 | return getNumpyDtype(self.datatype) |
|
|
329 | 295 | |
|
|
330 | 296 | def set_dtype(self, numpyDtype): |
|
|
331 | 297 | ''' |
|
|
332 | 298 | ''' |
|
|
333 | 299 | |
|
|
334 | 300 | self.datatype = getDataTypeCode(numpyDtype) |
|
|
335 | 301 | |
|
|
336 | 302 | def get_code(self): |
|
|
337 | 303 | ''' |
|
|
338 | 304 | ''' |
|
|
339 | 305 | return self.radarControllerHeaderObj.code |
|
|
340 | 306 | |
|
|
341 | 307 | def set_code(self, code): |
|
|
342 | 308 | ''' |
|
|
343 | 309 | ''' |
|
|
344 | 310 | self.radarControllerHeaderObj.code = code |
|
|
345 | 311 | |
|
|
346 | 312 | return |
|
|
347 | 313 | |
|
|
348 | 314 | def get_ncode(self): |
|
|
349 | 315 | ''' |
|
|
350 | 316 | ''' |
|
|
351 | 317 | return self.radarControllerHeaderObj.nCode |
|
|
352 | 318 | |
|
|
353 | 319 | def set_ncode(self, nCode): |
|
|
354 | 320 | ''' |
|
|
355 | 321 | ''' |
|
|
356 | 322 | self.radarControllerHeaderObj.nCode = nCode |
|
|
357 | 323 | |
|
|
358 | 324 | return |
|
|
359 | 325 | |
|
|
360 | 326 | def get_nbaud(self): |
|
|
361 | 327 | ''' |
|
|
362 | 328 | ''' |
|
|
363 | 329 | return self.radarControllerHeaderObj.nBaud |
|
|
364 | 330 | |
|
|
365 | 331 | def set_nbaud(self, nBaud): |
|
|
366 | 332 | ''' |
|
|
367 | 333 | ''' |
|
|
368 | 334 | self.radarControllerHeaderObj.nBaud = nBaud |
|
|
369 | 335 | |
|
|
370 | 336 | return |
|
|
371 | 337 | |
|
|
372 | 338 | nChannels = property(getNChannels, "I'm the 'nChannel' property.") |
|
|
373 | 339 | channelIndexList = property( |
|
|
374 | 340 | getChannelIndexList, "I'm the 'channelIndexList' property.") |
|
|
375 | 341 | nHeights = property(getNHeights, "I'm the 'nHeights' property.") |
|
|
376 | 342 | #noise = property(getNoise, "I'm the 'nHeights' property.") |
|
|
377 | 343 | datatime = property(getDatatime, "I'm the 'datatime' property") |
|
|
378 | 344 | ltctime = property(getltctime, "I'm the 'ltctime' property") |
|
|
379 | 345 | ippSeconds = property(get_ippSeconds, set_ippSeconds) |
|
|
380 | 346 | dtype = property(get_dtype, set_dtype) |
|
|
381 | 347 | # timeInterval = property(getTimeInterval, "I'm the 'timeInterval' property") |
|
|
382 | 348 | code = property(get_code, set_code) |
|
|
383 | 349 | nCode = property(get_ncode, set_ncode) |
|
|
384 | 350 | nBaud = property(get_nbaud, set_nbaud) |
|
|
385 | 351 | |
|
|
386 | 352 | |
|
|
387 | 353 | class Voltage(JROData): |
|
|
388 | 354 | |
|
|
389 | 355 | # data es un numpy array de 2 dmensiones (canales, alturas) |
|
|
390 | 356 | data = None |
|
|
391 | 357 | |
|
|
392 | 358 | def __init__(self): |
|
|
393 | 359 | ''' |
|
|
394 | 360 | Constructor |
|
|
395 | 361 | ''' |
|
|
396 | 362 | |
|
|
397 | 363 | self.useLocalTime = True |
|
|
398 | ||
|
|
399 | 364 | self.radarControllerHeaderObj = RadarControllerHeader() |
|
|
400 | ||
|
|
401 | 365 | self.systemHeaderObj = SystemHeader() |
|
|
402 | ||
|
|
403 | 366 | self.type = "Voltage" |
|
|
404 | ||
|
|
405 | 367 | self.data = None |
|
|
406 | ||
|
|
407 | 368 | # self.dtype = None |
|
|
408 | ||
|
|
409 | 369 | # self.nChannels = 0 |
|
|
410 | ||
|
|
411 | 370 | # self.nHeights = 0 |
|
|
412 | ||
|
|
413 | 371 | self.nProfiles = None |
|
|
414 | ||
|
|
415 | self.heightList = None | |
|
|
416 | ||
|
|
372 | self.heightList = Non | |
|
|
417 | 373 | self.channelList = None |
|
|
418 | ||
|
|
419 | 374 | # self.channelIndexList = None |
|
|
420 | ||
|
|
421 | 375 | self.flagNoData = True |
|
|
422 | ||
|
|
423 | 376 | self.flagDiscontinuousBlock = False |
|
|
424 | ||
|
|
425 | 377 | self.utctime = None |
|
|
426 | ||
|
|
427 | 378 | self.timeZone = None |
|
|
428 | ||
|
|
429 | 379 | self.dstFlag = None |
|
|
430 | ||
|
|
431 | 380 | self.errorCount = None |
|
|
432 | ||
|
|
433 | 381 | self.nCohInt = None |
|
|
434 | ||
|
|
435 | 382 | self.blocksize = None |
|
|
436 | ||
|
|
437 | 383 | self.flagDecodeData = False # asumo q la data no esta decodificada |
|
|
438 | ||
|
|
439 | 384 | self.flagDeflipData = False # asumo q la data no esta sin flip |
|
|
440 | ||
|
|
441 | 385 | self.flagShiftFFT = False |
|
|
442 | ||
|
|
443 | 386 | self.flagDataAsBlock = False # Asumo que la data es leida perfil a perfil |
|
|
444 | ||
|
|
445 | 387 | self.profileIndex = 0 |
|
|
446 | 388 | |
|
|
447 | 389 | def getNoisebyHildebrand(self, channel=None): |
|
|
448 | 390 | """ |
|
|
449 | 391 | Determino el nivel de ruido usando el metodo Hildebrand-Sekhon |
|
|
450 | 392 | |
|
|
451 | 393 | Return: |
|
|
452 | 394 | noiselevel |
|
|
453 | 395 | """ |
|
|
454 | 396 | |
|
|
455 | 397 | if channel != None: |
|
|
456 | 398 | data = self.data[channel] |
|
|
457 | 399 | nChannels = 1 |
|
|
458 | 400 | else: |
|
|
459 | 401 | data = self.data |
|
|
460 | 402 | nChannels = self.nChannels |
|
|
461 | 403 | |
|
|
462 | 404 | noise = numpy.zeros(nChannels) |
|
|
463 | 405 | power = data * numpy.conjugate(data) |
|
|
464 | 406 | |
|
|
465 | 407 | for thisChannel in range(nChannels): |
|
|
466 | 408 | if nChannels == 1: |
|
|
467 | 409 | daux = power[:].real |
|
|
468 | 410 | else: |
|
|
469 | 411 | daux = power[thisChannel, :].real |
|
|
470 | 412 | noise[thisChannel] = hildebrand_sekhon(daux, self.nCohInt) |
|
|
471 | 413 | |
|
|
472 | 414 | return noise |
|
|
473 | 415 | |
|
|
474 | 416 | def getNoise(self, type=1, channel=None): |
|
|
475 | 417 | |
|
|
476 | 418 | if type == 1: |
|
|
477 | 419 | noise = self.getNoisebyHildebrand(channel) |
|
|
478 | 420 | |
|
|
479 | 421 | return noise |
|
|
480 | 422 | |
|
|
481 | 423 | def getPower(self, channel=None): |
|
|
482 | 424 | |
|
|
483 | 425 | if channel != None: |
|
|
484 | 426 | data = self.data[channel] |
|
|
485 | 427 | else: |
|
|
486 | 428 | data = self.data |
|
|
487 | 429 | |
|
|
488 | 430 | power = data * numpy.conjugate(data) |
|
|
489 | 431 | powerdB = 10 * numpy.log10(power.real) |
|
|
490 | 432 | powerdB = numpy.squeeze(powerdB) |
|
|
491 | 433 | |
|
|
492 | 434 | return powerdB |
|
|
493 | 435 | |
|
|
494 | 436 | def getTimeInterval(self): |
|
|
495 | 437 | |
|
|
496 | 438 | timeInterval = self.ippSeconds * self.nCohInt |
|
|
497 | 439 | |
|
|
498 | 440 | return timeInterval |
|
|
499 | 441 | |
|
|
500 | 442 | noise = property(getNoise, "I'm the 'nHeights' property.") |
|
|
501 | 443 | timeInterval = property(getTimeInterval, "I'm the 'timeInterval' property") |
|
|
502 | 444 | |
|
|
503 | 445 | |
|
|
504 | 446 | class Spectra(JROData): |
|
|
505 | 447 | |
|
|
506 | 448 | # data spc es un numpy array de 2 dmensiones (canales, perfiles, alturas) |
|
|
507 | 449 | data_spc = None |
|
|
508 | ||
|
|
509 | 450 | # data cspc es un numpy array de 2 dmensiones (canales, pares, alturas) |
|
|
510 | 451 | data_cspc = None |
|
|
511 | ||
|
|
512 | 452 | # data dc es un numpy array de 2 dmensiones (canales, alturas) |
|
|
513 | 453 | data_dc = None |
|
|
514 | ||
|
|
515 | 454 | # data power |
|
|
516 | 455 | data_pwr = None |
|
|
517 | ||
|
|
518 | 456 | nFFTPoints = None |
|
|
519 | ||
|
|
520 | 457 | # nPairs = None |
|
|
521 | ||
|
|
522 | 458 | pairsList = None |
|
|
523 | ||
|
|
524 | 459 | nIncohInt = None |
|
|
525 | ||
|
|
526 | 460 | wavelength = None # Necesario para cacular el rango de velocidad desde la frecuencia |
|
|
527 | ||
|
|
528 | 461 | nCohInt = None # se requiere para determinar el valor de timeInterval |
|
|
529 | ||
|
|
530 | 462 | ippFactor = None |
|
|
531 | ||
|
|
532 | 463 | profileIndex = 0 |
|
|
533 | ||
|
|
534 | 464 | plotting = "spectra" |
|
|
535 | ||
|
|
536 | 465 | def __init__(self): |
|
|
537 | 466 | ''' |
|
|
538 | 467 | Constructor |
|
|
539 | 468 | ''' |
|
|
540 | 469 | |
|
|
541 | 470 | self.useLocalTime = True |
|
|
542 | ||
|
|
543 | 471 | self.radarControllerHeaderObj = RadarControllerHeader() |
|
|
544 | ||
|
|
545 | 472 | self.systemHeaderObj = SystemHeader() |
|
|
546 | ||
|
|
547 | 473 | self.type = "Spectra" |
|
|
548 | ||
|
|
549 | 474 | # self.data = None |
|
|
550 | ||
|
|
551 | 475 | # self.dtype = None |
|
|
552 | ||
|
|
553 | 476 | # self.nChannels = 0 |
|
|
554 | ||
|
|
555 | 477 | # self.nHeights = 0 |
|
|
556 | ||
|
|
557 | 478 | self.nProfiles = None |
|
|
558 | ||
|
|
559 | 479 | self.heightList = None |
|
|
560 | ||
|
|
561 | 480 | self.channelList = None |
|
|
562 | ||
|
|
563 | 481 | # self.channelIndexList = None |
|
|
564 | ||
|
|
565 | 482 | self.pairsList = None |
|
|
566 | ||
|
|
567 | 483 | self.flagNoData = True |
|
|
568 | ||
|
|
569 | 484 | self.flagDiscontinuousBlock = False |
|
|
570 | ||
|
|
571 | 485 | self.utctime = None |
|
|
572 | ||
|
|
573 | 486 | self.nCohInt = None |
|
|
574 | ||
|
|
575 | 487 | self.nIncohInt = None |
|
|
576 | ||
|
|
577 | 488 | self.blocksize = None |
|
|
578 | ||
|
|
579 | 489 | self.nFFTPoints = None |
|
|
580 | ||
|
|
581 | 490 | self.wavelength = None |
|
|
582 | ||
|
|
583 | 491 | self.flagDecodeData = False # asumo q la data no esta decodificada |
|
|
584 | ||
|
|
585 | 492 | self.flagDeflipData = False # asumo q la data no esta sin flip |
|
|
586 | ||
|
|
587 | 493 | self.flagShiftFFT = False |
|
|
588 | ||
|
|
589 | 494 | self.ippFactor = 1 |
|
|
590 | ||
|
|
591 | 495 | #self.noise = None |
|
|
592 | ||
|
|
593 | 496 | self.beacon_heiIndexList = [] |
|
|
594 | ||
|
|
595 | 497 | self.noise_estimation = None |
|
|
596 | 498 | |
|
|
597 | 499 | def getNoisebyHildebrand(self, xmin_index=None, xmax_index=None, ymin_index=None, ymax_index=None): |
|
|
598 | 500 | """ |
|
|
599 | 501 | Determino el nivel de ruido usando el metodo Hildebrand-Sekhon |
|
|
600 | 502 | |
|
|
601 | 503 | Return: |
|
|
602 | 504 | noiselevel |
|
|
603 | 505 | """ |
|
|
604 | 506 | |
|
|
605 | 507 | noise = numpy.zeros(self.nChannels) |
|
|
606 | 508 | |
|
|
607 | 509 | for channel in range(self.nChannels): |
|
|
608 | 510 | daux = self.data_spc[channel, |
|
|
609 | 511 | xmin_index:xmax_index, ymin_index:ymax_index] |
|
|
610 | 512 | noise[channel] = hildebrand_sekhon(daux, self.nIncohInt) |
|
|
611 | 513 | |
|
|
612 | 514 | return noise |
|
|
613 | 515 | |
|
|
614 | 516 | def getNoise(self, xmin_index=None, xmax_index=None, ymin_index=None, ymax_index=None): |
|
|
615 | 517 | |
|
|
616 | 518 | if self.noise_estimation is not None: |
|
|
617 | 519 | # this was estimated by getNoise Operation defined in jroproc_spectra.py |
|
|
618 | 520 | return self.noise_estimation |
|
|
619 | 521 | else: |
|
|
620 | 522 | noise = self.getNoisebyHildebrand( |
|
|
621 | 523 | xmin_index, xmax_index, ymin_index, ymax_index) |
|
|
622 | 524 | return noise |
|
|
623 | 525 | |
|
|
624 | 526 | def getFreqRangeTimeResponse(self, extrapoints=0): |
|
|
625 | 527 | |
|
|
626 | 528 | deltafreq = self.getFmaxTimeResponse() / (self.nFFTPoints * self.ippFactor) |
|
|
627 | 529 | freqrange = deltafreq * \ |
|
|
628 | 530 | (numpy.arange(self.nFFTPoints + extrapoints) - |
|
|
629 | 531 | self.nFFTPoints / 2.) - deltafreq / 2 |
|
|
630 | 532 | |
|
|
631 | 533 | return freqrange |
|
|
632 | 534 | |
|
|
633 | 535 | def getAcfRange(self, extrapoints=0): |
|
|
634 | 536 | |
|
|
635 | 537 | deltafreq = 10. / (self.getFmax() / (self.nFFTPoints * self.ippFactor)) |
|
|
636 | 538 | freqrange = deltafreq * \ |
|
|
637 | 539 | (numpy.arange(self.nFFTPoints + extrapoints) - |
|
|
638 | 540 | self.nFFTPoints / 2.) - deltafreq / 2 |
|
|
639 | 541 | |
|
|
640 | 542 | return freqrange |
|
|
641 | 543 | |
|
|
642 | 544 | def getFreqRange(self, extrapoints=0): |
|
|
643 | 545 | |
|
|
644 | 546 | deltafreq = self.getFmax() / (self.nFFTPoints * self.ippFactor) |
|
|
645 | 547 | freqrange = deltafreq * \ |
|
|
646 | 548 | (numpy.arange(self.nFFTPoints + extrapoints) - |
|
|
647 | 549 | self.nFFTPoints / 2.) - deltafreq / 2 |
|
|
648 | 550 | |
|
|
649 | 551 | return freqrange |
|
|
650 | 552 | |
|
|
651 | 553 | def getVelRange(self, extrapoints=0): |
|
|
652 | 554 | |
|
|
653 | 555 | deltav = self.getVmax() / (self.nFFTPoints * self.ippFactor) |
|
|
654 | 556 | velrange = deltav * (numpy.arange(self.nFFTPoints + |
|
|
655 | 557 | extrapoints) - self.nFFTPoints / 2.) # - deltav/2 |
|
|
656 | 558 | |
|
|
657 | 559 | return velrange |
|
|
658 | 560 | |
|
|
659 | 561 | def getNPairs(self): |
|
|
660 | 562 | |
|
|
661 | 563 | return len(self.pairsList) |
|
|
662 | 564 | |
|
|
663 | 565 | def getPairsIndexList(self): |
|
|
664 | 566 | |
|
|
665 | 567 | return list(range(self.nPairs)) |
|
|
666 | 568 | |
|
|
667 | 569 | def getNormFactor(self): |
|
|
668 | 570 | |
|
|
669 | 571 | pwcode = 1 |
|
|
670 | 572 | |
|
|
671 | 573 | if self.flagDecodeData: |
|
|
672 | 574 | pwcode = numpy.sum(self.code[0]**2) |
|
|
673 | 575 | #normFactor = min(self.nFFTPoints,self.nProfiles)*self.nIncohInt*self.nCohInt*pwcode*self.windowOfFilter |
|
|
674 | 576 | normFactor = self.nProfiles * self.nIncohInt * \ |
|
|
675 | 577 | self.nCohInt * pwcode * self.windowOfFilter |
|
|
676 | 578 | |
|
|
677 | 579 | return normFactor |
|
|
678 | 580 | |
|
|
679 | 581 | def getFlagCspc(self): |
|
|
680 | 582 | |
|
|
681 | 583 | if self.data_cspc is None: |
|
|
682 | 584 | return True |
|
|
683 | 585 | |
|
|
684 | 586 | return False |
|
|
685 | 587 | |
|
|
686 | 588 | def getFlagDc(self): |
|
|
687 | 589 | |
|
|
688 | 590 | if self.data_dc is None: |
|
|
689 | 591 | return True |
|
|
690 | 592 | |
|
|
691 | 593 | return False |
|
|
692 | 594 | |
|
|
693 | 595 | def getTimeInterval(self): |
|
|
694 | 596 | |
|
|
695 |
timeInterval = self.ippSeconds * self.nCohInt * |
|
|
|
597 | timeInterval = self.ippSeconds * self.nCohInt * \ | |
|
|
598 | self.nIncohInt * self.nProfiles * self.ippFactor | |
|
|
696 | 599 | |
|
|
697 | 600 | return timeInterval |
|
|
698 | 601 | |
|
|
699 | 602 | def getPower(self): |
|
|
700 | 603 | |
|
|
701 | 604 | factor = self.normFactor |
|
|
702 | 605 | z = self.data_spc / factor |
|
|
703 | 606 | z = numpy.where(numpy.isfinite(z), z, numpy.NAN) |
|
|
704 | 607 | avg = numpy.average(z, axis=1) |
|
|
705 | 608 | |
|
|
706 | 609 | return 10 * numpy.log10(avg) |
|
|
707 | 610 | |
|
|
708 | 611 | def getCoherence(self, pairsList=None, phase=False): |
|
|
709 | 612 | |
|
|
710 | 613 | z = [] |
|
|
711 | 614 | if pairsList is None: |
|
|
712 | 615 | pairsIndexList = self.pairsIndexList |
|
|
713 | 616 | else: |
|
|
714 | 617 | pairsIndexList = [] |
|
|
715 | 618 | for pair in pairsList: |
|
|
716 | 619 | if pair not in self.pairsList: |
|
|
717 | 620 | raise ValueError("Pair %s is not in dataOut.pairsList" % ( |
|
|
718 | 621 | pair)) |
|
|
719 | 622 | pairsIndexList.append(self.pairsList.index(pair)) |
|
|
720 | 623 | for i in range(len(pairsIndexList)): |
|
|
721 | 624 | pair = self.pairsList[pairsIndexList[i]] |
|
|
722 | 625 | ccf = numpy.average( |
|
|
723 | 626 | self.data_cspc[pairsIndexList[i], :, :], axis=0) |
|
|
724 | 627 | powa = numpy.average(self.data_spc[pair[0], :, :], axis=0) |
|
|
725 | 628 | powb = numpy.average(self.data_spc[pair[1], :, :], axis=0) |
|
|
726 | 629 | avgcoherenceComplex = ccf / numpy.sqrt(powa * powb) |
|
|
727 | 630 | if phase: |
|
|
728 | 631 | data = numpy.arctan2(avgcoherenceComplex.imag, |
|
|
729 | 632 | avgcoherenceComplex.real) * 180 / numpy.pi |
|
|
730 | 633 | else: |
|
|
731 | 634 | data = numpy.abs(avgcoherenceComplex) |
|
|
732 | 635 | |
|
|
733 | 636 | z.append(data) |
|
|
734 | 637 | |
|
|
735 | 638 | return numpy.array(z) |
|
|
736 | 639 | |
|
|
737 | 640 | def setValue(self, value): |
|
|
738 | 641 | |
|
|
739 | 642 | print("This property should not be initialized") |
|
|
740 | 643 | |
|
|
741 | 644 | return |
|
|
742 | 645 | |
|
|
743 | 646 | nPairs = property(getNPairs, setValue, "I'm the 'nPairs' property.") |
|
|
744 | 647 | pairsIndexList = property( |
|
|
745 | 648 | getPairsIndexList, setValue, "I'm the 'pairsIndexList' property.") |
|
|
746 | 649 | normFactor = property(getNormFactor, setValue, |
|
|
747 | 650 | "I'm the 'getNormFactor' property.") |
|
|
748 | 651 | flag_cspc = property(getFlagCspc, setValue) |
|
|
749 | 652 | flag_dc = property(getFlagDc, setValue) |
|
|
750 | 653 | noise = property(getNoise, setValue, "I'm the 'nHeights' property.") |
|
|
751 | 654 | timeInterval = property(getTimeInterval, setValue, |
|
|
752 | 655 | "I'm the 'timeInterval' property") |
|
|
753 | 656 | |
|
|
754 | 657 | |
|
|
755 | 658 | class SpectraHeis(Spectra): |
|
|
756 | 659 | |
|
|
757 | 660 | data_spc = None |
|
|
758 | ||
|
|
759 | 661 | data_cspc = None |
|
|
760 | ||
|
|
761 | 662 | data_dc = None |
|
|
762 | ||
|
|
763 | 663 | nFFTPoints = None |
|
|
764 | ||
|
|
765 | 664 | # nPairs = None |
|
|
766 | ||
|
|
767 | 665 | pairsList = None |
|
|
768 | ||
|
|
769 | 666 | nCohInt = None |
|
|
770 | ||
|
|
771 | 667 | nIncohInt = None |
|
|
772 | 668 | |
|
|
773 | 669 | def __init__(self): |
|
|
774 | 670 | |
|
|
775 | 671 | self.radarControllerHeaderObj = RadarControllerHeader() |
|
|
776 | 672 | |
|
|
777 | 673 | self.systemHeaderObj = SystemHeader() |
|
|
778 | 674 | |
|
|
779 | 675 | self.type = "SpectraHeis" |
|
|
780 | 676 | |
|
|
781 | 677 | # self.dtype = None |
|
|
782 | 678 | |
|
|
783 | 679 | # self.nChannels = 0 |
|
|
784 | 680 | |
|
|
785 | 681 | # self.nHeights = 0 |
|
|
786 | 682 | |
|
|
787 | 683 | self.nProfiles = None |
|
|
788 | 684 | |
|
|
789 | 685 | self.heightList = None |
|
|
790 | 686 | |
|
|
791 | 687 | self.channelList = None |
|
|
792 | 688 | |
|
|
793 | 689 | # self.channelIndexList = None |
|
|
794 | 690 | |
|
|
795 | 691 | self.flagNoData = True |
|
|
796 | 692 | |
|
|
797 | 693 | self.flagDiscontinuousBlock = False |
|
|
798 | 694 | |
|
|
799 | 695 | # self.nPairs = 0 |
|
|
800 | 696 | |
|
|
801 | 697 | self.utctime = None |
|
|
802 | 698 | |
|
|
803 | 699 | self.blocksize = None |
|
|
804 | 700 | |
|
|
805 | 701 | self.profileIndex = 0 |
|
|
806 | 702 | |
|
|
807 | 703 | self.nCohInt = 1 |
|
|
808 | 704 | |
|
|
809 | 705 | self.nIncohInt = 1 |
|
|
810 | 706 | |
|
|
811 | 707 | def getNormFactor(self): |
|
|
812 | 708 | pwcode = 1 |
|
|
813 | 709 | if self.flagDecodeData: |
|
|
814 | 710 | pwcode = numpy.sum(self.code[0]**2) |
|
|
815 | 711 | |
|
|
816 | 712 | normFactor = self.nIncohInt * self.nCohInt * pwcode |
|
|
817 | 713 | |
|
|
818 | 714 | return normFactor |
|
|
819 | 715 | |
|
|
820 | 716 | def getTimeInterval(self): |
|
|
821 | 717 | |
|
|
822 | 718 | timeInterval = self.ippSeconds * self.nCohInt * self.nIncohInt |
|
|
823 | 719 | |
|
|
824 | 720 | return timeInterval |
|
|
825 | 721 | |
|
|
826 | 722 | normFactor = property(getNormFactor, "I'm the 'getNormFactor' property.") |
|
|
827 | 723 | timeInterval = property(getTimeInterval, "I'm the 'timeInterval' property") |
|
|
828 | 724 | |
|
|
829 | 725 | |
|
|
830 | 726 | class Fits(JROData): |
|
|
831 | 727 | |
|
|
832 | 728 | heightList = None |
|
|
833 | ||
|
|
834 | 729 | channelList = None |
|
|
835 | ||
|
|
836 | 730 | flagNoData = True |
|
|
837 | ||
|
|
838 | 731 | flagDiscontinuousBlock = False |
|
|
839 | ||
|
|
840 | 732 | useLocalTime = False |
|
|
841 | ||
|
|
842 | 733 | utctime = None |
|
|
843 | ||
|
|
844 | 734 | timeZone = None |
|
|
845 | ||
|
|
846 | 735 | # ippSeconds = None |
|
|
847 | ||
|
|
848 | 736 | # timeInterval = None |
|
|
849 | ||
|
|
850 | 737 | nCohInt = None |
|
|
851 | ||
|
|
852 | 738 | nIncohInt = None |
|
|
853 | ||
|
|
854 | 739 | noise = None |
|
|
855 | ||
|
|
856 | 740 | windowOfFilter = 1 |
|
|
857 | ||
|
|
858 | 741 | # Speed of ligth |
|
|
859 | 742 | C = 3e8 |
|
|
860 | ||
|
|
861 | 743 | frequency = 49.92e6 |
|
|
862 | ||
|
|
863 | 744 | realtime = False |
|
|
864 | 745 | |
|
|
865 | 746 | def __init__(self): |
|
|
866 | 747 | |
|
|
867 | 748 | self.type = "Fits" |
|
|
868 | 749 | |
|
|
869 | 750 | self.nProfiles = None |
|
|
870 | 751 | |
|
|
871 | 752 | self.heightList = None |
|
|
872 | 753 | |
|
|
873 | 754 | self.channelList = None |
|
|
874 | 755 | |
|
|
875 | 756 | # self.channelIndexList = None |
|
|
876 | 757 | |
|
|
877 | 758 | self.flagNoData = True |
|
|
878 | 759 | |
|
|
879 | 760 | self.utctime = None |
|
|
880 | 761 | |
|
|
881 | 762 | self.nCohInt = 1 |
|
|
882 | 763 | |
|
|
883 | 764 | self.nIncohInt = 1 |
|
|
884 | 765 | |
|
|
885 | 766 | self.useLocalTime = True |
|
|
886 | 767 | |
|
|
887 | 768 | self.profileIndex = 0 |
|
|
888 | 769 | |
|
|
889 | 770 | # self.utctime = None |
|
|
890 | 771 | # self.timeZone = None |
|
|
891 | 772 | # self.ltctime = None |
|
|
892 | 773 | # self.timeInterval = None |
|
|
893 | 774 | # self.header = None |
|
|
894 | 775 | # self.data_header = None |
|
|
895 | 776 | # self.data = None |
|
|
896 | 777 | # self.datatime = None |
|
|
897 | 778 | # self.flagNoData = False |
|
|
898 | 779 | # self.expName = '' |
|
|
899 | 780 | # self.nChannels = None |
|
|
900 | 781 | # self.nSamples = None |
|
|
901 | 782 | # self.dataBlocksPerFile = None |
|
|
902 | 783 | # self.comments = '' |
|
|
903 | 784 | # |
|
|
904 | 785 | |
|
|
905 | 786 | def getltctime(self): |
|
|
906 | 787 | |
|
|
907 | 788 | if self.useLocalTime: |
|
|
908 | 789 | return self.utctime - self.timeZone * 60 |
|
|
909 | 790 | |
|
|
910 | 791 | return self.utctime |
|
|
911 | 792 | |
|
|
912 | 793 | def getDatatime(self): |
|
|
913 | 794 | |
|
|
914 | 795 | datatime = datetime.datetime.utcfromtimestamp(self.ltctime) |
|
|
915 | 796 | return datatime |
|
|
916 | 797 | |
|
|
917 | 798 | def getTimeRange(self): |
|
|
918 | 799 | |
|
|
919 | 800 | datatime = [] |
|
|
920 | 801 | |
|
|
921 | 802 | datatime.append(self.ltctime) |
|
|
922 | 803 | datatime.append(self.ltctime + self.timeInterval) |
|
|
923 | 804 | |
|
|
924 | 805 | datatime = numpy.array(datatime) |
|
|
925 | 806 | |
|
|
926 | 807 | return datatime |
|
|
927 | 808 | |
|
|
928 | 809 | def getHeiRange(self): |
|
|
929 | 810 | |
|
|
930 | 811 | heis = self.heightList |
|
|
931 | 812 | |
|
|
932 | 813 | return heis |
|
|
933 | 814 | |
|
|
934 | 815 | def getNHeights(self): |
|
|
935 | 816 | |
|
|
936 | 817 | return len(self.heightList) |
|
|
937 | 818 | |
|
|
938 | 819 | def getNChannels(self): |
|
|
939 | 820 | |
|
|
940 | 821 | return len(self.channelList) |
|
|
941 | 822 | |
|
|
942 | 823 | def getChannelIndexList(self): |
|
|
943 | 824 | |
|
|
944 | 825 | return list(range(self.nChannels)) |
|
|
945 | 826 | |
|
|
946 | 827 | def getNoise(self, type=1): |
|
|
947 | 828 | |
|
|
948 | 829 | #noise = numpy.zeros(self.nChannels) |
|
|
949 | 830 | |
|
|
950 | 831 | if type == 1: |
|
|
951 | 832 | noise = self.getNoisebyHildebrand() |
|
|
952 | 833 | |
|
|
953 | 834 | if type == 2: |
|
|
954 | 835 | noise = self.getNoisebySort() |
|
|
955 | 836 | |
|
|
956 | 837 | if type == 3: |
|
|
957 | 838 | noise = self.getNoisebyWindow() |
|
|
958 | 839 | |
|
|
959 | 840 | return noise |
|
|
960 | 841 | |
|
|
961 | 842 | def getTimeInterval(self): |
|
|
962 | 843 | |
|
|
963 | 844 | timeInterval = self.ippSeconds * self.nCohInt * self.nIncohInt |
|
|
964 | 845 | |
|
|
965 | 846 | return timeInterval |
|
|
966 | 847 | |
|
|
967 | 848 | datatime = property(getDatatime, "I'm the 'datatime' property") |
|
|
968 | 849 | nHeights = property(getNHeights, "I'm the 'nHeights' property.") |
|
|
969 | 850 | nChannels = property(getNChannels, "I'm the 'nChannel' property.") |
|
|
970 | 851 | channelIndexList = property( |
|
|
971 | 852 | getChannelIndexList, "I'm the 'channelIndexList' property.") |
|
|
972 | 853 | noise = property(getNoise, "I'm the 'nHeights' property.") |
|
|
973 | 854 | |
|
|
974 | 855 | ltctime = property(getltctime, "I'm the 'ltctime' property") |
|
|
975 | 856 | timeInterval = property(getTimeInterval, "I'm the 'timeInterval' property") |
|
|
976 | 857 | |
|
|
977 | 858 | |
|
|
978 | 859 | class Correlation(JROData): |
|
|
979 | 860 | |
|
|
980 | 861 | noise = None |
|
|
981 | ||
|
|
982 | 862 | SNR = None |
|
|
983 | ||
|
|
984 | 863 | #-------------------------------------------------- |
|
|
985 | ||
|
|
986 | 864 | mode = None |
|
|
987 | ||
|
|
988 | 865 | split = False |
|
|
989 | ||
|
|
990 | 866 | data_cf = None |
|
|
991 | ||
|
|
992 | 867 | lags = None |
|
|
993 | ||
|
|
994 | 868 | lagRange = None |
|
|
995 | ||
|
|
996 | 869 | pairsList = None |
|
|
997 | ||
|
|
998 | 870 | normFactor = None |
|
|
999 | ||
|
|
1000 | 871 | #-------------------------------------------------- |
|
|
1001 | ||
|
|
1002 | 872 | # calculateVelocity = None |
|
|
1003 | ||
|
|
1004 | 873 | nLags = None |
|
|
1005 | ||
|
|
1006 | 874 | nPairs = None |
|
|
1007 | ||
|
|
1008 | 875 | nAvg = None |
|
|
1009 | 876 | |
|
|
1010 | 877 | def __init__(self): |
|
|
1011 | 878 | ''' |
|
|
1012 | 879 | Constructor |
|
|
1013 | 880 | ''' |
|
|
1014 | 881 | self.radarControllerHeaderObj = RadarControllerHeader() |
|
|
1015 | 882 | |
|
|
1016 | 883 | self.systemHeaderObj = SystemHeader() |
|
|
1017 | 884 | |
|
|
1018 | 885 | self.type = "Correlation" |
|
|
1019 | 886 | |
|
|
1020 | 887 | self.data = None |
|
|
1021 | 888 | |
|
|
1022 | 889 | self.dtype = None |
|
|
1023 | 890 | |
|
|
1024 | 891 | self.nProfiles = None |
|
|
1025 | 892 | |
|
|
1026 | 893 | self.heightList = None |
|
|
1027 | 894 | |
|
|
1028 | 895 | self.channelList = None |
|
|
1029 | 896 | |
|
|
1030 | 897 | self.flagNoData = True |
|
|
1031 | 898 | |
|
|
1032 | 899 | self.flagDiscontinuousBlock = False |
|
|
1033 | 900 | |
|
|
1034 | 901 | self.utctime = None |
|
|
1035 | 902 | |
|
|
1036 | 903 | self.timeZone = None |
|
|
1037 | 904 | |
|
|
1038 | 905 | self.dstFlag = None |
|
|
1039 | 906 | |
|
|
1040 | 907 | self.errorCount = None |
|
|
1041 | 908 | |
|
|
1042 | 909 | self.blocksize = None |
|
|
1043 | 910 | |
|
|
1044 | 911 | self.flagDecodeData = False # asumo q la data no esta decodificada |
|
|
1045 | 912 | |
|
|
1046 | 913 | self.flagDeflipData = False # asumo q la data no esta sin flip |
|
|
1047 | 914 | |
|
|
1048 | 915 | self.pairsList = None |
|
|
1049 | 916 | |
|
|
1050 | 917 | self.nPoints = None |
|
|
1051 | 918 | |
|
|
1052 | 919 | def getPairsList(self): |
|
|
1053 | 920 | |
|
|
1054 | 921 | return self.pairsList |
|
|
1055 | 922 | |
|
|
1056 | 923 | def getNoise(self, mode=2): |
|
|
1057 | 924 | |
|
|
1058 | 925 | indR = numpy.where(self.lagR == 0)[0][0] |
|
|
1059 | 926 | indT = numpy.where(self.lagT == 0)[0][0] |
|
|
1060 | 927 | |
|
|
1061 | 928 | jspectra0 = self.data_corr[:, :, indR, :] |
|
|
1062 | 929 | jspectra = copy.copy(jspectra0) |
|
|
1063 | 930 | |
|
|
1064 | 931 | num_chan = jspectra.shape[0] |
|
|
1065 | 932 | num_hei = jspectra.shape[2] |
|
|
1066 | 933 | |
|
|
1067 | 934 | freq_dc = jspectra.shape[1] / 2 |
|
|
1068 | 935 | ind_vel = numpy.array([-2, -1, 1, 2]) + freq_dc |
|
|
1069 | 936 | |
|
|
1070 | 937 | if ind_vel[0] < 0: |
|
|
1071 |
ind_vel[list(range(0, 1))] = ind_vel[list( |
|
|
|
938 | ind_vel[list(range(0, 1))] = ind_vel[list( | |
|
|
939 | range(0, 1))] + self.num_prof | |
|
|
1072 | 940 | |
|
|
1073 | 941 | if mode == 1: |
|
|
1074 | 942 | jspectra[:, freq_dc, :] = ( |
|
|
1075 | 943 | jspectra[:, ind_vel[1], :] + jspectra[:, ind_vel[2], :]) / 2 # CORRECCION |
|
|
1076 | 944 | |
|
|
1077 | 945 | if mode == 2: |
|
|
1078 | 946 | |
|
|
1079 | 947 | vel = numpy.array([-2, -1, 1, 2]) |
|
|
1080 | 948 | xx = numpy.zeros([4, 4]) |
|
|
1081 | 949 | |
|
|
1082 | 950 | for fil in range(4): |
|
|
1083 | 951 | xx[fil, :] = vel[fil]**numpy.asarray(list(range(4))) |
|
|
1084 | 952 | |
|
|
1085 | 953 | xx_inv = numpy.linalg.inv(xx) |
|
|
1086 | 954 | xx_aux = xx_inv[0, :] |
|
|
1087 | 955 | |
|
|
1088 | 956 | for ich in range(num_chan): |
|
|
1089 | 957 | yy = jspectra[ich, ind_vel, :] |
|
|
1090 | 958 | jspectra[ich, freq_dc, :] = numpy.dot(xx_aux, yy) |
|
|
1091 | 959 | |
|
|
1092 | 960 | junkid = jspectra[ich, freq_dc, :] <= 0 |
|
|
1093 | 961 | cjunkid = sum(junkid) |
|
|
1094 | 962 | |
|
|
1095 | 963 | if cjunkid.any(): |
|
|
1096 | 964 | jspectra[ich, freq_dc, junkid.nonzero()] = ( |
|
|
1097 | 965 | jspectra[ich, ind_vel[1], junkid] + jspectra[ich, ind_vel[2], junkid]) / 2 |
|
|
1098 | 966 | |
|
|
1099 | 967 | noise = jspectra0[:, freq_dc, :] - jspectra[:, freq_dc, :] |
|
|
1100 | 968 | |
|
|
1101 | 969 | return noise |
|
|
1102 | 970 | |
|
|
1103 | 971 | def getTimeInterval(self): |
|
|
1104 | 972 | |
|
|
1105 | 973 | timeInterval = self.ippSeconds * self.nCohInt * self.nProfiles |
|
|
1106 | 974 | |
|
|
1107 | 975 | return timeInterval |
|
|
1108 | 976 | |
|
|
1109 | 977 | def splitFunctions(self): |
|
|
1110 | 978 | |
|
|
1111 | 979 | pairsList = self.pairsList |
|
|
1112 | 980 | ccf_pairs = [] |
|
|
1113 | 981 | acf_pairs = [] |
|
|
1114 | 982 | ccf_ind = [] |
|
|
1115 | 983 | acf_ind = [] |
|
|
1116 | 984 | for l in range(len(pairsList)): |
|
|
1117 | 985 | chan0 = pairsList[l][0] |
|
|
1118 | 986 | chan1 = pairsList[l][1] |
|
|
1119 | 987 | |
|
|
1120 | 988 | # Obteniendo pares de Autocorrelacion |
|
|
1121 | 989 | if chan0 == chan1: |
|
|
1122 | 990 | acf_pairs.append(chan0) |
|
|
1123 | 991 | acf_ind.append(l) |
|
|
1124 | 992 | else: |
|
|
1125 | 993 | ccf_pairs.append(pairsList[l]) |
|
|
1126 | 994 | ccf_ind.append(l) |
|
|
1127 | 995 | |
|
|
1128 | 996 | data_acf = self.data_cf[acf_ind] |
|
|
1129 | 997 | data_ccf = self.data_cf[ccf_ind] |
|
|
1130 | 998 | |
|
|
1131 | 999 | return acf_ind, ccf_ind, acf_pairs, ccf_pairs, data_acf, data_ccf |
|
|
1132 | 1000 | |
|
|
1133 | 1001 | def getNormFactor(self): |
|
|
1134 | 1002 | acf_ind, ccf_ind, acf_pairs, ccf_pairs, data_acf, data_ccf = self.splitFunctions() |
|
|
1135 | 1003 | acf_pairs = numpy.array(acf_pairs) |
|
|
1136 | 1004 | normFactor = numpy.zeros((self.nPairs, self.nHeights)) |
|
|
1137 | 1005 | |
|
|
1138 | 1006 | for p in range(self.nPairs): |
|
|
1139 | 1007 | pair = self.pairsList[p] |
|
|
1140 | 1008 | |
|
|
1141 | 1009 | ch0 = pair[0] |
|
|
1142 | 1010 | ch1 = pair[1] |
|
|
1143 | 1011 | |
|
|
1144 | 1012 | ch0_max = numpy.max(data_acf[acf_pairs == ch0, :, :], axis=1) |
|
|
1145 | 1013 | ch1_max = numpy.max(data_acf[acf_pairs == ch1, :, :], axis=1) |
|
|
1146 | 1014 | normFactor[p, :] = numpy.sqrt(ch0_max * ch1_max) |
|
|
1147 | 1015 | |
|
|
1148 | 1016 | return normFactor |
|
|
1149 | 1017 | |
|
|
1150 | 1018 | timeInterval = property(getTimeInterval, "I'm the 'timeInterval' property") |
|
|
1151 | 1019 | normFactor = property(getNormFactor, "I'm the 'normFactor property'") |
|
|
1152 | 1020 | |
|
|
1153 | 1021 | |
|
|
1154 | 1022 | class Parameters(Spectra): |
|
|
1155 | 1023 | |
|
|
1156 | 1024 | experimentInfo = None # Information about the experiment |
|
|
1157 | ||
|
|
1158 | 1025 | # Information from previous data |
|
|
1159 | ||
|
|
1160 | 1026 | inputUnit = None # Type of data to be processed |
|
|
1161 | ||
|
|
1162 | 1027 | operation = None # Type of operation to parametrize |
|
|
1163 | ||
|
|
1164 | 1028 | # normFactor = None #Normalization Factor |
|
|
1165 | ||
|
|
1166 | 1029 | groupList = None # List of Pairs, Groups, etc |
|
|
1167 | ||
|
|
1168 | 1030 | # Parameters |
|
|
1169 | ||
|
|
1170 | 1031 | data_param = None # Parameters obtained |
|
|
1171 | ||
|
|
1172 | 1032 | data_pre = None # Data Pre Parametrization |
|
|
1173 | ||
|
|
1174 | 1033 | data_SNR = None # Signal to Noise Ratio |
|
|
1175 | ||
|
|
1176 | 1034 | # heightRange = None #Heights |
|
|
1177 | ||
|
|
1178 | 1035 | abscissaList = None # Abscissa, can be velocities, lags or time |
|
|
1179 | ||
|
|
1180 | 1036 | # noise = None #Noise Potency |
|
|
1181 | ||
|
|
1182 | 1037 | utctimeInit = None # Initial UTC time |
|
|
1183 | ||
|
|
1184 | 1038 | paramInterval = None # Time interval to calculate Parameters in seconds |
|
|
1185 | ||
|
|
1186 | 1039 | useLocalTime = True |
|
|
1187 | ||
|
|
1188 | 1040 | # Fitting |
|
|
1189 | ||
|
|
1190 | 1041 | data_error = None # Error of the estimation |
|
|
1191 | ||
|
|
1192 | 1042 | constants = None |
|
|
1193 | ||
|
|
1194 | 1043 | library = None |
|
|
1195 | ||
|
|
1196 | 1044 | # Output signal |
|
|
1197 | ||
|
|
1198 | 1045 | outputInterval = None # Time interval to calculate output signal in seconds |
|
|
1199 | ||
|
|
1200 | 1046 | data_output = None # Out signal |
|
|
1201 | ||
|
|
1202 | 1047 | nAvg = None |
|
|
1203 | ||
|
|
1204 | 1048 | noise_estimation = None |
|
|
1205 | ||
|
|
1206 | 1049 | GauSPC = None # Fit gaussian SPC |
|
|
1207 | 1050 | |
|
|
1208 | 1051 | def __init__(self): |
|
|
1209 | 1052 | ''' |
|
|
1210 | 1053 | Constructor |
|
|
1211 | 1054 | ''' |
|
|
1212 | 1055 | self.radarControllerHeaderObj = RadarControllerHeader() |
|
|
1213 | 1056 | |
|
|
1214 | 1057 | self.systemHeaderObj = SystemHeader() |
|
|
1215 | 1058 | |
|
|
1216 | 1059 | self.type = "Parameters" |
|
|
1217 | 1060 | |
|
|
1218 | 1061 | def getTimeRange1(self, interval): |
|
|
1219 | 1062 | |
|
|
1220 | 1063 | datatime = [] |
|
|
1221 | 1064 | |
|
|
1222 | 1065 | if self.useLocalTime: |
|
|
1223 | 1066 | time1 = self.utctimeInit - self.timeZone * 60 |
|
|
1224 | 1067 | else: |
|
|
1225 | 1068 | time1 = self.utctimeInit |
|
|
1226 | 1069 | |
|
|
1227 | 1070 | datatime.append(time1) |
|
|
1228 | 1071 | datatime.append(time1 + interval) |
|
|
1229 | 1072 | datatime = numpy.array(datatime) |
|
|
1230 | 1073 | |
|
|
1231 | 1074 | return datatime |
|
|
1232 | 1075 | |
|
|
1233 | 1076 | def getTimeInterval(self): |
|
|
1234 | 1077 | |
|
|
1235 | 1078 | if hasattr(self, 'timeInterval1'): |
|
|
1236 | 1079 | return self.timeInterval1 |
|
|
1237 | 1080 | else: |
|
|
1238 | 1081 | return self.paramInterval |
|
|
1239 | 1082 | |
|
|
1240 | 1083 | def setValue(self, value): |
|
|
1241 | 1084 | |
|
|
1242 | 1085 | print("This property should not be initialized") |
|
|
1243 | 1086 | |
|
|
1244 | 1087 | return |
|
|
1245 | 1088 | |
|
|
1246 | 1089 | def getNoise(self): |
|
|
1247 | 1090 | |
|
|
1248 | 1091 | return self.spc_noise |
|
|
1249 | 1092 | |
|
|
1250 | 1093 | timeInterval = property(getTimeInterval) |
|
|
1251 | noise = property(getNoise, setValue, "I'm the 'Noise' property.") No newline at end of file | |
|
|
1094 | noise = property(getNoise, setValue, "I'm the 'Noise' property.") | |
|
|
1095 | ||
|
|
1096 | ||
|
|
1097 | class PlotterData(object): | |
|
|
1098 | ''' | |
|
|
1099 | Object to hold data to be plotted | |
|
|
1100 | ''' | |
|
|
1101 | ||
|
|
1102 | MAXNUMX = 100 | |
|
|
1103 | MAXNUMY = 100 | |
|
|
1104 | ||
|
|
1105 | def __init__(self, code, throttle_value, exp_code, buffering=True): | |
|
|
1106 | ||
|
|
1107 | self.throttle = throttle_value | |
|
|
1108 | self.exp_code = exp_code | |
|
|
1109 | self.buffering = buffering | |
|
|
1110 | self.ready = False | |
|
|
1111 | self.localtime = False | |
|
|
1112 | self.data = {} | |
|
|
1113 | self.meta = {} | |
|
|
1114 | self.__times = [] | |
|
|
1115 | self.__heights = [] | |
|
|
1116 | ||
|
|
1117 | if 'snr' in code: | |
|
|
1118 | self.plottypes = ['snr'] | |
|
|
1119 | elif code == 'spc': | |
|
|
1120 | self.plottypes = ['spc', 'noise', 'rti'] | |
|
|
1121 | elif code == 'rti': | |
|
|
1122 | self.plottypes = ['noise', 'rti'] | |
|
|
1123 | else: | |
|
|
1124 | self.plottypes = [code] | |
|
|
1125 | ||
|
|
1126 | for plot in self.plottypes: | |
|
|
1127 | self.data[plot] = {} | |
|
|
1128 | ||
|
|
1129 | def __str__(self): | |
|
|
1130 | dum = ['{}{}'.format(key, self.shape(key)) for key in self.data] | |
|
|
1131 | return 'Data[{}][{}]'.format(';'.join(dum), len(self.__times)) | |
|
|
1132 | ||
|
|
1133 | def __len__(self): | |
|
|
1134 | return len(self.__times) | |
|
|
1135 | ||
|
|
1136 | def __getitem__(self, key): | |
|
|
1137 | ||
|
|
1138 | if key not in self.data: | |
|
|
1139 | raise KeyError(log.error('Missing key: {}'.format(key))) | |
|
|
1140 | if 'spc' in key or not self.buffering: | |
|
|
1141 | ret = self.data[key] | |
|
|
1142 | else: | |
|
|
1143 | ret = numpy.array([self.data[key][x] for x in self.times]) | |
|
|
1144 | if ret.ndim > 1: | |
|
|
1145 | ret = numpy.swapaxes(ret, 0, 1) | |
|
|
1146 | return ret | |
|
|
1147 | ||
|
|
1148 | def __contains__(self, key): | |
|
|
1149 | return key in self.data | |
|
|
1150 | ||
|
|
1151 | def setup(self): | |
|
|
1152 | ''' | |
|
|
1153 | Configure object | |
|
|
1154 | ''' | |
|
|
1155 | ||
|
|
1156 | self.type = '' | |
|
|
1157 | self.ready = False | |
|
|
1158 | self.data = {} | |
|
|
1159 | self.__times = [] | |
|
|
1160 | self.__heights = [] | |
|
|
1161 | self.__all_heights = set() | |
|
|
1162 | for plot in self.plottypes: | |
|
|
1163 | if 'snr' in plot: | |
|
|
1164 | plot = 'snr' | |
|
|
1165 | self.data[plot] = {} | |
|
|
1166 | ||
|
|
1167 | if 'spc' in self.data or 'rti' in self.data: | |
|
|
1168 | self.data['noise'] = {} | |
|
|
1169 | if 'noise' not in self.plottypes: | |
|
|
1170 | self.plottypes.append('noise') | |
|
|
1171 | ||
|
|
1172 | def shape(self, key): | |
|
|
1173 | ''' | |
|
|
1174 | Get the shape of the one-element data for the given key | |
|
|
1175 | ''' | |
|
|
1176 | ||
|
|
1177 | if len(self.data[key]): | |
|
|
1178 | if 'spc' in key or not self.buffering: | |
|
|
1179 | return self.data[key].shape | |
|
|
1180 | return self.data[key][self.__times[0]].shape | |
|
|
1181 | return (0,) | |
|
|
1182 | ||
|
|
1183 | def update(self, dataOut, tm): | |
|
|
1184 | ''' | |
|
|
1185 | Update data object with new dataOut | |
|
|
1186 | ''' | |
|
|
1187 | ||
|
|
1188 | if tm in self.__times: | |
|
|
1189 | return | |
|
|
1190 | ||
|
|
1191 | self.type = dataOut.type | |
|
|
1192 | self.parameters = getattr(dataOut, 'parameters', []) | |
|
|
1193 | if hasattr(dataOut, 'pairsList'): | |
|
|
1194 | self.pairs = dataOut.pairsList | |
|
|
1195 | if hasattr(dataOut, 'meta'): | |
|
|
1196 | self.meta = dataOut.meta | |
|
|
1197 | self.channels = dataOut.channelList | |
|
|
1198 | self.interval = dataOut.getTimeInterval() | |
|
|
1199 | self.localtime = dataOut.useLocalTime | |
|
|
1200 | if 'spc' in self.plottypes or 'cspc' in self.plottypes: | |
|
|
1201 | self.xrange = (dataOut.getFreqRange(1)/1000., | |
|
|
1202 | dataOut.getAcfRange(1), dataOut.getVelRange(1)) | |
|
|
1203 | self.__heights.append(dataOut.heightList) | |
|
|
1204 | self.__all_heights.update(dataOut.heightList) | |
|
|
1205 | self.__times.append(tm) | |
|
|
1206 | ||
|
|
1207 | for plot in self.plottypes: | |
|
|
1208 | if plot == 'spc': | |
|
|
1209 | z = dataOut.data_spc/dataOut.normFactor | |
|
|
1210 | buffer = 10*numpy.log10(z) | |
|
|
1211 | if plot == 'cspc': | |
|
|
1212 | buffer = dataOut.data_cspc | |
|
|
1213 | if plot == 'noise': | |
|
|
1214 | buffer = 10*numpy.log10(dataOut.getNoise()/dataOut.normFactor) | |
|
|
1215 | if plot == 'rti': | |
|
|
1216 | buffer = dataOut.getPower() | |
|
|
1217 | if plot == 'snr_db': | |
|
|
1218 | buffer = dataOut.data_SNR | |
|
|
1219 | if plot == 'snr': | |
|
|
1220 | buffer = 10*numpy.log10(dataOut.data_SNR) | |
|
|
1221 | if plot == 'dop': | |
|
|
1222 | buffer = 10*numpy.log10(dataOut.data_DOP) | |
|
|
1223 | if plot == 'mean': | |
|
|
1224 | buffer = dataOut.data_MEAN | |
|
|
1225 | if plot == 'std': | |
|
|
1226 | buffer = dataOut.data_STD | |
|
|
1227 | if plot == 'coh': | |
|
|
1228 | buffer = dataOut.getCoherence() | |
|
|
1229 | if plot == 'phase': | |
|
|
1230 | buffer = dataOut.getCoherence(phase=True) | |
|
|
1231 | if plot == 'output': | |
|
|
1232 | buffer = dataOut.data_output | |
|
|
1233 | if plot == 'param': | |
|
|
1234 | buffer = dataOut.data_param | |
|
|
1235 | ||
|
|
1236 | if 'spc' in plot: | |
|
|
1237 | self.data[plot] = buffer | |
|
|
1238 | else: | |
|
|
1239 | if self.buffering: | |
|
|
1240 | self.data[plot][tm] = buffer | |
|
|
1241 | else: | |
|
|
1242 | self.data[plot] = buffer | |
|
|
1243 | ||
|
|
1244 | def normalize_heights(self): | |
|
|
1245 | ''' | |
|
|
1246 | Ensure same-dimension of the data for different heighList | |
|
|
1247 | ''' | |
|
|
1248 | ||
|
|
1249 | H = numpy.array(list(self.__all_heights)) | |
|
|
1250 | H.sort() | |
|
|
1251 | for key in self.data: | |
|
|
1252 | shape = self.shape(key)[:-1] + H.shape | |
|
|
1253 | for tm, obj in list(self.data[key].items()): | |
|
|
1254 | h = self.__heights[self.__times.index(tm)] | |
|
|
1255 | if H.size == h.size: | |
|
|
1256 | continue | |
|
|
1257 | index = numpy.where(numpy.in1d(H, h))[0] | |
|
|
1258 | dummy = numpy.zeros(shape) + numpy.nan | |
|
|
1259 | if len(shape) == 2: | |
|
|
1260 | dummy[:, index] = obj | |
|
|
1261 | else: | |
|
|
1262 | dummy[index] = obj | |
|
|
1263 | self.data[key][tm] = dummy | |
|
|
1264 | ||
|
|
1265 | self.__heights = [H for tm in self.__times] | |
|
|
1266 | ||
|
|
1267 | def jsonify(self, decimate=False): | |
|
|
1268 | ''' | |
|
|
1269 | Convert data to json | |
|
|
1270 | ''' | |
|
|
1271 | ||
|
|
1272 | data = {} | |
|
|
1273 | tm = self.times[-1] | |
|
|
1274 | dy = int(self.heights.size/self.MAXNUMY) + 1 | |
|
|
1275 | for key in self.data: | |
|
|
1276 | if key in ('spc', 'cspc') or not self.buffering: | |
|
|
1277 | dx = int(self.data[key].shape[1]/self.MAXNUMX) + 1 | |
|
|
1278 | data[key] = self.roundFloats( | |
|
|
1279 | self.data[key][::, ::dx, ::dy].tolist()) | |
|
|
1280 | else: | |
|
|
1281 | data[key] = self.roundFloats(self.data[key][tm].tolist()) | |
|
|
1282 | ||
|
|
1283 | ret = {'data': data} | |
|
|
1284 | ret['exp_code'] = self.exp_code | |
|
|
1285 | ret['time'] = float(tm) | |
|
|
1286 | ret['interval'] = float(self.interval) | |
|
|
1287 | ret['localtime'] = self.localtime | |
|
|
1288 | ret['yrange'] = self.roundFloats(self.heights[::dy].tolist()) | |
|
|
1289 | if 'spc' in self.data or 'cspc' in self.data: | |
|
|
1290 | ret['xrange'] = self.roundFloats(self.xrange[2][::dx].tolist()) | |
|
|
1291 | else: | |
|
|
1292 | ret['xrange'] = [] | |
|
|
1293 | if hasattr(self, 'pairs'): | |
|
|
1294 | ret['pairs'] = [(int(p[0]), int(p[1])) for p in self.pairs] | |
|
|
1295 | else: | |
|
|
1296 | ret['pairs'] = [] | |
|
|
1297 | ||
|
|
1298 | for key, value in list(self.meta.items()): | |
|
|
1299 | ret[key] = value | |
|
|
1300 | ||
|
|
1301 | return json.dumps(ret) | |
|
|
1302 | ||
|
|
1303 | @property | |
|
|
1304 | def times(self): | |
|
|
1305 | ''' | |
|
|
1306 | Return the list of times of the current data | |
|
|
1307 | ''' | |
|
|
1308 | ||
|
|
1309 | ret = numpy.array(self.__times) | |
|
|
1310 | ret.sort() | |
|
|
1311 | return ret | |
|
|
1312 | ||
|
|
1313 | @property | |
|
|
1314 | def min_time(self): | |
|
|
1315 | ''' | |
|
|
1316 | Return the minimun time value | |
|
|
1317 | ''' | |
|
|
1318 | ||
|
|
1319 | return self.times[0] | |
|
|
1320 | ||
|
|
1321 | @property | |
|
|
1322 | def max_time(self): | |
|
|
1323 | ''' | |
|
|
1324 | Return the maximun time value | |
|
|
1325 | ''' | |
|
|
1326 | ||
|
|
1327 | return self.times[-1] | |
|
|
1328 | ||
|
|
1329 | @property | |
|
|
1330 | def heights(self): | |
|
|
1331 | ''' | |
|
|
1332 | Return the list of heights of the current data | |
|
|
1333 | ''' | |
|
|
1334 | ||
|
|
1335 | return numpy.array(self.__heights[-1]) | |
|
|
1336 | ||
|
|
1337 | @staticmethod | |
|
|
1338 | def roundFloats(obj): | |
|
|
1339 | if isinstance(obj, list): | |
|
|
1340 | return list(map(PlotterData.roundFloats, obj)) | |
|
|
1341 | elif isinstance(obj, float): | |
|
|
1342 | return round(obj, 2) | |
| @@ -1,7 +1,6 | |||
|
|
1 | 1 | from .jroplot_voltage import * |
|
|
2 | 2 | from .jroplot_spectra import * |
|
|
3 | 3 | from .jroplot_heispectra import * |
|
|
4 | 4 | from .jroplot_correlation import * |
|
|
5 | 5 | from .jroplot_parameters import * |
|
|
6 | 6 | from .jroplot_data import * |
|
|
7 | from .jroplotter import * | |
| @@ -1,187 +1,187 | |||
|
|
1 | 1 | import os |
|
|
2 | 2 | import datetime |
|
|
3 | 3 | import numpy |
|
|
4 | 4 | import copy |
|
|
5 | 5 | from schainpy.model import * |
|
|
6 | 6 | from .figure import Figure, isRealtime |
|
|
7 | 7 | |
|
|
8 | class CorrelationPlot(Figure): | |
|
|
8 | class CorrelationPlot_(Figure): | |
|
|
9 | 9 | isConfig = None |
|
|
10 | 10 | __nsubplots = None |
|
|
11 | 11 | |
|
|
12 | 12 | WIDTHPROF = None |
|
|
13 | 13 | HEIGHTPROF = None |
|
|
14 | 14 | PREFIX = 'corr' |
|
|
15 | 15 | |
|
|
16 | 16 | def __init__(self, **kwargs): |
|
|
17 | 17 | Figure.__init__(self, **kwargs) |
|
|
18 | 18 | self.isConfig = False |
|
|
19 | 19 | self.__nsubplots = 1 |
|
|
20 | 20 | |
|
|
21 | 21 | self.WIDTH = 280 |
|
|
22 | 22 | self.HEIGHT = 250 |
|
|
23 | 23 | self.WIDTHPROF = 120 |
|
|
24 | 24 | self.HEIGHTPROF = 0 |
|
|
25 | 25 | self.counter_imagwr = 0 |
|
|
26 | 26 | |
|
|
27 | 27 | self.PLOT_CODE = 1 |
|
|
28 | 28 | self.FTP_WEI = None |
|
|
29 | 29 | self.EXP_CODE = None |
|
|
30 | 30 | self.SUB_EXP_CODE = None |
|
|
31 | 31 | self.PLOT_POS = None |
|
|
32 | 32 | |
|
|
33 | 33 | def getSubplots(self): |
|
|
34 | 34 | |
|
|
35 | 35 | ncol = int(numpy.sqrt(self.nplots)+0.9) |
|
|
36 | 36 | nrow = int(self.nplots*1./ncol + 0.9) |
|
|
37 | 37 | |
|
|
38 | 38 | return nrow, ncol |
|
|
39 | 39 | |
|
|
40 | 40 | def setup(self, id, nplots, wintitle, showprofile=False, show=True): |
|
|
41 | 41 | |
|
|
42 | 42 | showprofile = False |
|
|
43 | 43 | self.__showprofile = showprofile |
|
|
44 | 44 | self.nplots = nplots |
|
|
45 | 45 | |
|
|
46 | 46 | ncolspan = 1 |
|
|
47 | 47 | colspan = 1 |
|
|
48 | 48 | if showprofile: |
|
|
49 | 49 | ncolspan = 3 |
|
|
50 | 50 | colspan = 2 |
|
|
51 | 51 | self.__nsubplots = 2 |
|
|
52 | 52 | |
|
|
53 | 53 | self.createFigure(id = id, |
|
|
54 | 54 | wintitle = wintitle, |
|
|
55 | 55 | widthplot = self.WIDTH + self.WIDTHPROF, |
|
|
56 | 56 | heightplot = self.HEIGHT + self.HEIGHTPROF, |
|
|
57 | 57 | show=show) |
|
|
58 | 58 | |
|
|
59 | 59 | nrow, ncol = self.getSubplots() |
|
|
60 | 60 | |
|
|
61 | 61 | counter = 0 |
|
|
62 | 62 | for y in range(nrow): |
|
|
63 | 63 | for x in range(ncol): |
|
|
64 | 64 | |
|
|
65 | 65 | if counter >= self.nplots: |
|
|
66 | 66 | break |
|
|
67 | 67 | |
|
|
68 | 68 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan, colspan, 1) |
|
|
69 | 69 | |
|
|
70 | 70 | if showprofile: |
|
|
71 | 71 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan+colspan, 1, 1) |
|
|
72 | 72 | |
|
|
73 | 73 | counter += 1 |
|
|
74 | 74 | |
|
|
75 | 75 | def run(self, dataOut, id, wintitle="", channelList=None, showprofile=False, |
|
|
76 | 76 | xmin=None, xmax=None, ymin=None, ymax=None, zmin=None, zmax=None, |
|
|
77 | 77 | save=False, figpath='./', figfile=None, show=True, ftp=False, wr_period=1, |
|
|
78 | 78 | server=None, folder=None, username=None, password=None, |
|
|
79 | 79 | ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0, realtime=False): |
|
|
80 | 80 | |
|
|
81 | 81 | """ |
|
|
82 | 82 | |
|
|
83 | 83 | Input: |
|
|
84 | 84 | dataOut : |
|
|
85 | 85 | id : |
|
|
86 | 86 | wintitle : |
|
|
87 | 87 | channelList : |
|
|
88 | 88 | showProfile : |
|
|
89 | 89 | xmin : None, |
|
|
90 | 90 | xmax : None, |
|
|
91 | 91 | ymin : None, |
|
|
92 | 92 | ymax : None, |
|
|
93 | 93 | zmin : None, |
|
|
94 | 94 | zmax : None |
|
|
95 | 95 | """ |
|
|
96 | 96 | |
|
|
97 | 97 | if dataOut.flagNoData: |
|
|
98 | 98 | return None |
|
|
99 | 99 | |
|
|
100 | 100 | if realtime: |
|
|
101 | 101 | if not(isRealtime(utcdatatime = dataOut.utctime)): |
|
|
102 | 102 | print('Skipping this plot function') |
|
|
103 | 103 | return |
|
|
104 | 104 | |
|
|
105 | 105 | if channelList == None: |
|
|
106 | 106 | channelIndexList = dataOut.channelIndexList |
|
|
107 | 107 | else: |
|
|
108 | 108 | channelIndexList = [] |
|
|
109 | 109 | for channel in channelList: |
|
|
110 | 110 | if channel not in dataOut.channelList: |
|
|
111 | 111 | raise ValueError("Channel %d is not in dataOut.channelList") |
|
|
112 | 112 | channelIndexList.append(dataOut.channelList.index(channel)) |
|
|
113 | 113 | |
|
|
114 | 114 | factor = dataOut.normFactor |
|
|
115 | 115 | lenfactor = factor.shape[1] |
|
|
116 | 116 | x = dataOut.getLagTRange(1) |
|
|
117 | 117 | y = dataOut.getHeiRange() |
|
|
118 | 118 | |
|
|
119 | 119 | z = copy.copy(dataOut.data_corr[:,:,0,:]) |
|
|
120 | 120 | for i in range(dataOut.data_corr.shape[0]): |
|
|
121 | 121 | z[i,:,:] = z[i,:,:]/factor[i,:] |
|
|
122 | 122 | zdB = numpy.abs(z) |
|
|
123 | 123 | |
|
|
124 | 124 | avg = numpy.average(z, axis=1) |
|
|
125 | 125 | # avg = numpy.nanmean(z, axis=1) |
|
|
126 | 126 | # noise = dataOut.noise/factor |
|
|
127 | 127 | |
|
|
128 | 128 | #thisDatetime = dataOut.datatime |
|
|
129 | 129 | thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.getTimeRange()[0]) |
|
|
130 | 130 | title = wintitle + " Correlation" |
|
|
131 | 131 | xlabel = "Lag T (s)" |
|
|
132 | 132 | ylabel = "Range (Km)" |
|
|
133 | 133 | |
|
|
134 | 134 | if not self.isConfig: |
|
|
135 | 135 | |
|
|
136 | 136 | nplots = dataOut.data_corr.shape[0] |
|
|
137 | 137 | |
|
|
138 | 138 | self.setup(id=id, |
|
|
139 | 139 | nplots=nplots, |
|
|
140 | 140 | wintitle=wintitle, |
|
|
141 | 141 | showprofile=showprofile, |
|
|
142 | 142 | show=show) |
|
|
143 | 143 | |
|
|
144 | 144 | if xmin == None: xmin = numpy.nanmin(x) |
|
|
145 | 145 | if xmax == None: xmax = numpy.nanmax(x) |
|
|
146 | 146 | if ymin == None: ymin = numpy.nanmin(y) |
|
|
147 | 147 | if ymax == None: ymax = numpy.nanmax(y) |
|
|
148 | 148 | if zmin == None: zmin = 0 |
|
|
149 | 149 | if zmax == None: zmax = 1 |
|
|
150 | 150 | |
|
|
151 | 151 | self.FTP_WEI = ftp_wei |
|
|
152 | 152 | self.EXP_CODE = exp_code |
|
|
153 | 153 | self.SUB_EXP_CODE = sub_exp_code |
|
|
154 | 154 | self.PLOT_POS = plot_pos |
|
|
155 | 155 | |
|
|
156 | 156 | self.isConfig = True |
|
|
157 | 157 | |
|
|
158 | 158 | self.setWinTitle(title) |
|
|
159 | 159 | |
|
|
160 | 160 | for i in range(self.nplots): |
|
|
161 | 161 | str_datetime = '%s %s'%(thisDatetime.strftime("%Y/%m/%d"),thisDatetime.strftime("%H:%M:%S")) |
|
|
162 | 162 | title = "Channel %d and %d: : %s" %(dataOut.pairsList[i][0],dataOut.pairsList[i][1] , str_datetime) |
|
|
163 | 163 | axes = self.axesList[i*self.__nsubplots] |
|
|
164 | 164 | axes.pcolor(x, y, zdB[i,:,:], |
|
|
165 | 165 | xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, zmin=zmin, zmax=zmax, |
|
|
166 | 166 | xlabel=xlabel, ylabel=ylabel, title=title, |
|
|
167 | 167 | ticksize=9, cblabel='') |
|
|
168 | 168 | |
|
|
169 | 169 | # if self.__showprofile: |
|
|
170 | 170 | # axes = self.axesList[i*self.__nsubplots +1] |
|
|
171 | 171 | # axes.pline(avgdB[i], y, |
|
|
172 | 172 | # xmin=zmin, xmax=zmax, ymin=ymin, ymax=ymax, |
|
|
173 | 173 | # xlabel='dB', ylabel='', title='', |
|
|
174 | 174 | # ytick_visible=False, |
|
|
175 | 175 | # grid='x') |
|
|
176 | 176 | # |
|
|
177 | 177 | # noiseline = numpy.repeat(noisedB[i], len(y)) |
|
|
178 | 178 | # axes.addpline(noiseline, y, idline=1, color="black", linestyle="dashed", lw=2) |
|
|
179 | 179 | |
|
|
180 | 180 | self.draw() |
|
|
181 | 181 | |
|
|
182 | 182 | self.save(figpath=figpath, |
|
|
183 | 183 | figfile=figfile, |
|
|
184 | 184 | save=save, |
|
|
185 | 185 | ftp=ftp, |
|
|
186 | 186 | wr_period=wr_period, |
|
|
187 | 187 | thisDatetime=thisDatetime) No newline at end of file |
| This diff has been collapsed as it changes many lines, (685 lines changed) Show them Hide them | |||
| @@ -1,1154 +1,613 | |||
|
|
1 | ''' | |
|
|
2 | New Plots Operations | |
|
|
3 | ||
|
|
4 | @author: juan.espinoza@jro.igp.gob.pe | |
|
|
5 | ''' | |
|
|
6 | ||
|
|
1 | 7 | |
|
|
2 | import os | |
|
|
3 | 8 | import time |
|
|
4 | import glob | |
|
|
5 | 9 | import datetime |
|
|
6 | from multiprocessing import Process | |
|
|
7 | ||
|
|
8 | import zmq | |
|
|
9 | 10 | import numpy |
|
|
10 | import matplotlib | |
|
|
11 | import matplotlib.pyplot as plt | |
|
|
12 | from matplotlib.patches import Polygon | |
|
|
13 | from mpl_toolkits.axes_grid1 import make_axes_locatable | |
|
|
14 | from matplotlib.ticker import FuncFormatter, LinearLocator, MultipleLocator | |
|
|
15 | 11 | |
|
|
16 |
from schainpy.model. |
|
|
|
12 | from schainpy.model.graphics.jroplot_base import Plot, plt | |
|
|
17 | 13 | from schainpy.utils import log |
|
|
18 | 14 | |
|
|
19 | jet_values = matplotlib.pyplot.get_cmap('jet', 100)(numpy.arange(100))[10:90] | |
|
|
20 | blu_values = matplotlib.pyplot.get_cmap( | |
|
|
21 | 'seismic_r', 20)(numpy.arange(20))[10:15] | |
|
|
22 | ncmap = matplotlib.colors.LinearSegmentedColormap.from_list( | |
|
|
23 | 'jro', numpy.vstack((blu_values, jet_values))) | |
|
|
24 | matplotlib.pyplot.register_cmap(cmap=ncmap) | |
|
|
25 | ||
|
|
26 | CMAPS = [plt.get_cmap(s) for s in ('jro', 'jet', 'viridis', 'plasma', 'inferno', 'Greys', 'seismic', 'bwr', 'coolwarm')] | |
|
|
27 | ||
|
|
28 | 15 | EARTH_RADIUS = 6.3710e3 |
|
|
29 | 16 | |
|
|
17 | ||
|
|
30 | 18 | def ll2xy(lat1, lon1, lat2, lon2): |
|
|
31 | 19 | |
|
|
32 | 20 | p = 0.017453292519943295 |
|
|
33 |
a = 0.5 - numpy.cos((lat2 - lat1) * p)/2 + numpy.cos(lat1 * p) * |
|
|
|
21 | a = 0.5 - numpy.cos((lat2 - lat1) * p)/2 + numpy.cos(lat1 * p) * \ | |
|
|
22 | numpy.cos(lat2 * p) * (1 - numpy.cos((lon2 - lon1) * p)) / 2 | |
|
|
34 | 23 | r = 12742 * numpy.arcsin(numpy.sqrt(a)) |
|
|
35 |
theta = numpy.arctan2(numpy.sin((lon2-lon1)*p)*numpy.cos(lat2*p), numpy.cos(lat1*p) |
|
|
|
24 | theta = numpy.arctan2(numpy.sin((lon2-lon1)*p)*numpy.cos(lat2*p), numpy.cos(lat1*p) | |
|
|
25 | * numpy.sin(lat2*p)-numpy.sin(lat1*p)*numpy.cos(lat2*p)*numpy.cos((lon2-lon1)*p)) | |
|
|
36 | 26 | theta = -theta + numpy.pi/2 |
|
|
37 | 27 | return r*numpy.cos(theta), r*numpy.sin(theta) |
|
|
38 | 28 | |
|
|
29 | ||
|
|
39 | 30 | def km2deg(km): |
|
|
40 | 31 | ''' |
|
|
41 | 32 | Convert distance in km to degrees |
|
|
42 | 33 | ''' |
|
|
43 | 34 | |
|
|
44 | 35 | return numpy.rad2deg(km/EARTH_RADIUS) |
|
|
45 | 36 | |
|
|
46 | def figpause(interval): | |
|
|
47 | backend = plt.rcParams['backend'] | |
|
|
48 | if backend in matplotlib.rcsetup.interactive_bk: | |
|
|
49 | figManager = matplotlib._pylab_helpers.Gcf.get_active() | |
|
|
50 | if figManager is not None: | |
|
|
51 | canvas = figManager.canvas | |
|
|
52 | if canvas.figure.stale: | |
|
|
53 | canvas.draw() | |
|
|
54 | try: | |
|
|
55 | canvas.start_event_loop(interval) | |
|
|
56 | except: | |
|
|
57 | pass | |
|
|
58 | return | |
|
|
59 | ||
|
|
60 | def popup(message): | |
|
|
61 | ''' | |
|
|
62 | ''' | |
|
|
63 | ||
|
|
64 | fig = plt.figure(figsize=(12, 8), facecolor='r') | |
|
|
65 | text = '\n'.join([s.strip() for s in message.split(':')]) | |
|
|
66 | fig.text(0.01, 0.5, text, ha='left', va='center', size='20', weight='heavy', color='w') | |
|
|
67 | fig.show() | |
|
|
68 | figpause(1000) | |
|
|
69 | ||
|
|
70 | ||
|
|
71 | class PlotData(Operation, Process): | |
|
|
72 | ''' | |
|
|
73 | Base class for Schain plotting operations | |
|
|
74 | ''' | |
|
|
75 | ||
|
|
76 | CODE = 'Figure' | |
|
|
77 | colormap = 'jro' | |
|
|
78 | bgcolor = 'white' | |
|
|
79 | CONFLATE = False | |
|
|
80 | __missing = 1E30 | |
|
|
81 | ||
|
|
82 | __attrs__ = ['show', 'save', 'xmin', 'xmax', 'ymin', 'ymax', 'zmin', 'zmax', | |
|
|
83 | 'zlimits', 'xlabel', 'ylabel', 'xaxis','cb_label', 'title', | |
|
|
84 | 'colorbar', 'bgcolor', 'width', 'height', 'localtime', 'oneFigure', | |
|
|
85 | 'showprofile', 'decimation', 'ftp'] | |
|
|
86 | ||
|
|
87 | def __init__(self, **kwargs): | |
|
|
88 | ||
|
|
89 | Operation.__init__(self, plot=True, **kwargs) | |
|
|
90 | Process.__init__(self) | |
|
|
91 | ||
|
|
92 | self.kwargs['code'] = self.CODE | |
|
|
93 | self.mp = False | |
|
|
94 | self.data = None | |
|
|
95 | self.isConfig = False | |
|
|
96 | self.figures = [] | |
|
|
97 | self.axes = [] | |
|
|
98 | self.cb_axes = [] | |
|
|
99 | self.localtime = kwargs.pop('localtime', True) | |
|
|
100 | self.show = kwargs.get('show', True) | |
|
|
101 | self.save = kwargs.get('save', False) | |
|
|
102 | self.ftp = kwargs.get('ftp', False) | |
|
|
103 | self.colormap = kwargs.get('colormap', self.colormap) | |
|
|
104 | self.colormap_coh = kwargs.get('colormap_coh', 'jet') | |
|
|
105 | self.colormap_phase = kwargs.get('colormap_phase', 'RdBu_r') | |
|
|
106 | self.colormaps = kwargs.get('colormaps', None) | |
|
|
107 | self.bgcolor = kwargs.get('bgcolor', self.bgcolor) | |
|
|
108 | self.showprofile = kwargs.get('showprofile', False) | |
|
|
109 | self.title = kwargs.get('wintitle', self.CODE.upper()) | |
|
|
110 | self.cb_label = kwargs.get('cb_label', None) | |
|
|
111 | self.cb_labels = kwargs.get('cb_labels', None) | |
|
|
112 | self.labels = kwargs.get('labels', None) | |
|
|
113 | self.xaxis = kwargs.get('xaxis', 'frequency') | |
|
|
114 | self.zmin = kwargs.get('zmin', None) | |
|
|
115 | self.zmax = kwargs.get('zmax', None) | |
|
|
116 | self.zlimits = kwargs.get('zlimits', None) | |
|
|
117 | self.xmin = kwargs.get('xmin', None) | |
|
|
118 | self.xmax = kwargs.get('xmax', None) | |
|
|
119 | self.xrange = kwargs.get('xrange', 24) | |
|
|
120 | self.xscale = kwargs.get('xscale', None) | |
|
|
121 | self.ymin = kwargs.get('ymin', None) | |
|
|
122 | self.ymax = kwargs.get('ymax', None) | |
|
|
123 | self.yscale = kwargs.get('yscale', None) | |
|
|
124 | self.xlabel = kwargs.get('xlabel', None) | |
|
|
125 | self.decimation = kwargs.get('decimation', None) | |
|
|
126 | self.showSNR = kwargs.get('showSNR', False) | |
|
|
127 | self.oneFigure = kwargs.get('oneFigure', True) | |
|
|
128 | self.width = kwargs.get('width', None) | |
|
|
129 | self.height = kwargs.get('height', None) | |
|
|
130 | self.colorbar = kwargs.get('colorbar', True) | |
|
|
131 | self.factors = kwargs.get('factors', [1, 1, 1, 1, 1, 1, 1, 1]) | |
|
|
132 | self.channels = kwargs.get('channels', None) | |
|
|
133 | self.titles = kwargs.get('titles', []) | |
|
|
134 | self.polar = False | |
|
|
135 | self.grid = kwargs.get('grid', False) | |
|
|
136 | ||
|
|
137 | def __fmtTime(self, x, pos): | |
|
|
138 | ''' | |
|
|
139 | ''' | |
|
|
140 | ||
|
|
141 | return '{}'.format(self.getDateTime(x).strftime('%H:%M')) | |
|
|
142 | ||
|
|
143 | def __setup(self): | |
|
|
144 | ''' | |
|
|
145 | Common setup for all figures, here figures and axes are created | |
|
|
146 | ''' | |
|
|
147 | ||
|
|
148 | if self.CODE not in self.data: | |
|
|
149 | raise ValueError(log.error('Missing data for {}'.format(self.CODE), | |
|
|
150 | self.name)) | |
|
|
151 | ||
|
|
152 | self.setup() | |
|
|
153 | ||
|
|
154 | self.time_label = 'LT' if self.localtime else 'UTC' | |
|
|
155 | if self.data.localtime: | |
|
|
156 | self.getDateTime = datetime.datetime.fromtimestamp | |
|
|
157 | else: | |
|
|
158 | self.getDateTime = datetime.datetime.utcfromtimestamp | |
|
|
159 | ||
|
|
160 | if self.width is None: | |
|
|
161 | self.width = 8 | |
|
|
162 | ||
|
|
163 | self.figures = [] | |
|
|
164 | self.axes = [] | |
|
|
165 | self.cb_axes = [] | |
|
|
166 | self.pf_axes = [] | |
|
|
167 | self.cmaps = [] | |
|
|
168 | ||
|
|
169 | size = '15%' if self.ncols == 1 else '30%' | |
|
|
170 | pad = '4%' if self.ncols == 1 else '8%' | |
|
|
171 | ||
|
|
172 | if self.oneFigure: | |
|
|
173 | if self.height is None: | |
|
|
174 | self.height = 1.4 * self.nrows + 1 | |
|
|
175 | fig = plt.figure(figsize=(self.width, self.height), | |
|
|
176 | edgecolor='k', | |
|
|
177 | facecolor='w') | |
|
|
178 | self.figures.append(fig) | |
|
|
179 | for n in range(self.nplots): | |
|
|
180 | ax = fig.add_subplot(self.nrows, self.ncols, | |
|
|
181 | n + 1, polar=self.polar) | |
|
|
182 | ax.tick_params(labelsize=8) | |
|
|
183 | ax.firsttime = True | |
|
|
184 | ax.index = 0 | |
|
|
185 | ax.press = None | |
|
|
186 | self.axes.append(ax) | |
|
|
187 | if self.showprofile: | |
|
|
188 | cax = self.__add_axes(ax, size=size, pad=pad) | |
|
|
189 | cax.tick_params(labelsize=8) | |
|
|
190 | self.pf_axes.append(cax) | |
|
|
191 | else: | |
|
|
192 | if self.height is None: | |
|
|
193 | self.height = 3 | |
|
|
194 | for n in range(self.nplots): | |
|
|
195 | fig = plt.figure(figsize=(self.width, self.height), | |
|
|
196 | edgecolor='k', | |
|
|
197 | facecolor='w') | |
|
|
198 | ax = fig.add_subplot(1, 1, 1, polar=self.polar) | |
|
|
199 | ax.tick_params(labelsize=8) | |
|
|
200 | ax.firsttime = True | |
|
|
201 | ax.index = 0 | |
|
|
202 | ax.press = None | |
|
|
203 | self.figures.append(fig) | |
|
|
204 | self.axes.append(ax) | |
|
|
205 | if self.showprofile: | |
|
|
206 | cax = self.__add_axes(ax, size=size, pad=pad) | |
|
|
207 | cax.tick_params(labelsize=8) | |
|
|
208 | self.pf_axes.append(cax) | |
|
|
209 | ||
|
|
210 | for n in range(self.nrows): | |
|
|
211 | if self.colormaps is not None: | |
|
|
212 | cmap = plt.get_cmap(self.colormaps[n]) | |
|
|
213 | else: | |
|
|
214 | cmap = plt.get_cmap(self.colormap) | |
|
|
215 | cmap.set_bad(self.bgcolor, 1.) | |
|
|
216 | self.cmaps.append(cmap) | |
|
|
217 | ||
|
|
218 | for fig in self.figures: | |
|
|
219 | fig.canvas.mpl_connect('key_press_event', self.OnKeyPress) | |
|
|
220 | fig.canvas.mpl_connect('scroll_event', self.OnBtnScroll) | |
|
|
221 | fig.canvas.mpl_connect('button_press_event', self.onBtnPress) | |
|
|
222 | fig.canvas.mpl_connect('motion_notify_event', self.onMotion) | |
|
|
223 | fig.canvas.mpl_connect('button_release_event', self.onBtnRelease) | |
|
|
224 | if self.show: | |
|
|
225 | fig.show() | |
|
|
226 | ||
|
|
227 | def OnKeyPress(self, event): | |
|
|
228 | ''' | |
|
|
229 | Event for pressing keys (up, down) change colormap | |
|
|
230 | ''' | |
|
|
231 | ax = event.inaxes | |
|
|
232 | if ax in self.axes: | |
|
|
233 | if event.key == 'down': | |
|
|
234 | ax.index += 1 | |
|
|
235 | elif event.key == 'up': | |
|
|
236 | ax.index -= 1 | |
|
|
237 | if ax.index < 0: | |
|
|
238 | ax.index = len(CMAPS) - 1 | |
|
|
239 | elif ax.index == len(CMAPS): | |
|
|
240 | ax.index = 0 | |
|
|
241 | cmap = CMAPS[ax.index] | |
|
|
242 | ax.cbar.set_cmap(cmap) | |
|
|
243 | ax.cbar.draw_all() | |
|
|
244 | ax.plt.set_cmap(cmap) | |
|
|
245 | ax.cbar.patch.figure.canvas.draw() | |
|
|
246 | self.colormap = cmap.name | |
|
|
247 | ||
|
|
248 | def OnBtnScroll(self, event): | |
|
|
249 | ''' | |
|
|
250 | Event for scrolling, scale figure | |
|
|
251 | ''' | |
|
|
252 | cb_ax = event.inaxes | |
|
|
253 | if cb_ax in [ax.cbar.ax for ax in self.axes if ax.cbar]: | |
|
|
254 | ax = [ax for ax in self.axes if cb_ax == ax.cbar.ax][0] | |
|
|
255 | pt = ax.cbar.ax.bbox.get_points()[:, 1] | |
|
|
256 | nrm = ax.cbar.norm | |
|
|
257 | vmin, vmax, p0, p1, pS = ( | |
|
|
258 | nrm.vmin, nrm.vmax, pt[0], pt[1], event.y) | |
|
|
259 | scale = 2 if event.step == 1 else 0.5 | |
|
|
260 | point = vmin + (vmax - vmin) / (p1 - p0) * (pS - p0) | |
|
|
261 | ax.cbar.norm.vmin = point - scale * (point - vmin) | |
|
|
262 | ax.cbar.norm.vmax = point - scale * (point - vmax) | |
|
|
263 | ax.plt.set_norm(ax.cbar.norm) | |
|
|
264 | ax.cbar.draw_all() | |
|
|
265 | ax.cbar.patch.figure.canvas.draw() | |
|
|
266 | ||
|
|
267 | def onBtnPress(self, event): | |
|
|
268 | ''' | |
|
|
269 | Event for mouse button press | |
|
|
270 | ''' | |
|
|
271 | cb_ax = event.inaxes | |
|
|
272 | if cb_ax is None: | |
|
|
273 | return | |
|
|
274 | ||
|
|
275 | if cb_ax in [ax.cbar.ax for ax in self.axes if ax.cbar]: | |
|
|
276 | cb_ax.press = event.x, event.y | |
|
|
277 | else: | |
|
|
278 | cb_ax.press = None | |
|
|
279 | ||
|
|
280 | def onMotion(self, event): | |
|
|
281 | ''' | |
|
|
282 | Event for move inside colorbar | |
|
|
283 | ''' | |
|
|
284 | cb_ax = event.inaxes | |
|
|
285 | if cb_ax is None: | |
|
|
286 | return | |
|
|
287 | if cb_ax not in [ax.cbar.ax for ax in self.axes if ax.cbar]: | |
|
|
288 | return | |
|
|
289 | if cb_ax.press is None: | |
|
|
290 | return | |
|
|
291 | ||
|
|
292 | ax = [ax for ax in self.axes if cb_ax == ax.cbar.ax][0] | |
|
|
293 | xprev, yprev = cb_ax.press | |
|
|
294 | dx = event.x - xprev | |
|
|
295 | dy = event.y - yprev | |
|
|
296 | cb_ax.press = event.x, event.y | |
|
|
297 | scale = ax.cbar.norm.vmax - ax.cbar.norm.vmin | |
|
|
298 | perc = 0.03 | |
|
|
299 | ||
|
|
300 | if event.button == 1: | |
|
|
301 | ax.cbar.norm.vmin -= (perc * scale) * numpy.sign(dy) | |
|
|
302 | ax.cbar.norm.vmax -= (perc * scale) * numpy.sign(dy) | |
|
|
303 | elif event.button == 3: | |
|
|
304 | ax.cbar.norm.vmin -= (perc * scale) * numpy.sign(dy) | |
|
|
305 | ax.cbar.norm.vmax += (perc * scale) * numpy.sign(dy) | |
|
|
306 | ||
|
|
307 | ax.cbar.draw_all() | |
|
|
308 | ax.plt.set_norm(ax.cbar.norm) | |
|
|
309 | ax.cbar.patch.figure.canvas.draw() | |
|
|
310 | ||
|
|
311 | def onBtnRelease(self, event): | |
|
|
312 | ''' | |
|
|
313 | Event for mouse button release | |
|
|
314 | ''' | |
|
|
315 | cb_ax = event.inaxes | |
|
|
316 | if cb_ax is not None: | |
|
|
317 | cb_ax.press = None | |
|
|
318 | ||
|
|
319 | def __add_axes(self, ax, size='30%', pad='8%'): | |
|
|
320 | ''' | |
|
|
321 | Add new axes to the given figure | |
|
|
322 | ''' | |
|
|
323 | divider = make_axes_locatable(ax) | |
|
|
324 | nax = divider.new_horizontal(size=size, pad=pad) | |
|
|
325 | ax.figure.add_axes(nax) | |
|
|
326 | return nax | |
|
|
327 | ||
|
|
328 | self.setup() | |
|
|
329 | ||
|
|
330 | def setup(self): | |
|
|
331 | ''' | |
|
|
332 | This method should be implemented in the child class, the following | |
|
|
333 | attributes should be set: | |
|
|
334 | ||
|
|
335 | self.nrows: number of rows | |
|
|
336 | self.ncols: number of cols | |
|
|
337 | self.nplots: number of plots (channels or pairs) | |
|
|
338 | self.ylabel: label for Y axes | |
|
|
339 | self.titles: list of axes title | |
|
|
340 | ||
|
|
341 | ''' | |
|
|
342 | raise NotImplementedError | |
|
|
343 | ||
|
|
344 | def fill_gaps(self, x_buffer, y_buffer, z_buffer): | |
|
|
345 | ''' | |
|
|
346 | Create a masked array for missing data | |
|
|
347 | ''' | |
|
|
348 | if x_buffer.shape[0] < 2: | |
|
|
349 | return x_buffer, y_buffer, z_buffer | |
|
|
350 | ||
|
|
351 | deltas = x_buffer[1:] - x_buffer[0:-1] | |
|
|
352 | x_median = numpy.median(deltas) | |
|
|
353 | ||
|
|
354 | index = numpy.where(deltas > 5 * x_median) | |
|
|
355 | ||
|
|
356 | if len(index[0]) != 0: | |
|
|
357 | z_buffer[::, index[0], ::] = self.__missing | |
|
|
358 | z_buffer = numpy.ma.masked_inside(z_buffer, | |
|
|
359 | 0.99 * self.__missing, | |
|
|
360 | 1.01 * self.__missing) | |
|
|
361 | ||
|
|
362 | return x_buffer, y_buffer, z_buffer | |
|
|
363 | ||
|
|
364 | def decimate(self): | |
|
|
365 | ||
|
|
366 | # dx = int(len(self.x)/self.__MAXNUMX) + 1 | |
|
|
367 | dy = int(len(self.y) / self.decimation) + 1 | |
|
|
368 | ||
|
|
369 | # x = self.x[::dx] | |
|
|
370 | x = self.x | |
|
|
371 | y = self.y[::dy] | |
|
|
372 | z = self.z[::, ::, ::dy] | |
|
|
373 | ||
|
|
374 | return x, y, z | |
|
|
375 | 37 | |
|
|
376 | def format(self): | |
|
|
377 | ''' | |
|
|
378 | Set min and max values, labels, ticks and titles | |
|
|
379 | ''' | |
|
|
380 | ||
|
|
381 | if self.xmin is None: | |
|
|
382 | xmin = self.min_time | |
|
|
383 | else: | |
|
|
384 | if self.xaxis is 'time': | |
|
|
385 | dt = self.getDateTime(self.min_time) | |
|
|
386 | xmin = (dt.replace(hour=int(self.xmin), minute=0, second=0) - | |
|
|
387 | datetime.datetime(1970, 1, 1)).total_seconds() | |
|
|
388 | if self.data.localtime: | |
|
|
389 | xmin += time.timezone | |
|
|
390 | else: | |
|
|
391 | xmin = self.xmin | |
|
|
392 | ||
|
|
393 | if self.xmax is None: | |
|
|
394 | xmax = xmin + self.xrange * 60 * 60 | |
|
|
395 | else: | |
|
|
396 | if self.xaxis is 'time': | |
|
|
397 | dt = self.getDateTime(self.max_time) | |
|
|
398 | xmax = (dt.replace(hour=int(self.xmax), minute=59, second=59) - | |
|
|
399 | datetime.datetime(1970, 1, 1) + datetime.timedelta(seconds=1)).total_seconds() | |
|
|
400 | if self.data.localtime: | |
|
|
401 | xmax += time.timezone | |
|
|
402 | else: | |
|
|
403 | xmax = self.xmax | |
|
|
404 | ||
|
|
405 | ymin = self.ymin if self.ymin else numpy.nanmin(self.y) | |
|
|
406 | ymax = self.ymax if self.ymax else numpy.nanmax(self.y) | |
|
|
407 | ||
|
|
408 | Y = numpy.array([1, 2, 5, 10, 20, 50, 100, 200, 500, 1000, 2000, 5000]) | |
|
|
409 | i = 1 if numpy.where(abs(ymax-ymin) <= Y)[0][0] < 0 else numpy.where(abs(ymax-ymin) <= Y)[0][0] | |
|
|
410 | ystep = Y[i] / 10. | |
|
|
411 | ||
|
|
412 | if self.xaxis is not 'time': | |
|
|
413 | X = numpy.array([1, 2, 5, 10, 20, 50, 100, 200, 500, 1000, 2000, 5000])/2. | |
|
|
414 | i = 1 if numpy.where(abs(xmax-xmin) <= X)[0][0] < 0 else numpy.where(abs(xmax-xmin) <= X)[0][0] | |
|
|
415 | xstep = X[i] / 10. | |
|
|
416 | ||
|
|
417 | for n, ax in enumerate(self.axes): | |
|
|
418 | if ax.firsttime: | |
|
|
419 | ax.set_facecolor(self.bgcolor) | |
|
|
420 | ax.yaxis.set_major_locator(MultipleLocator(ystep)) | |
|
|
421 | if self.xscale: | |
|
|
422 | ax.xaxis.set_major_formatter(FuncFormatter(lambda x, pos: '{0:g}'.format(x*self.xscale))) | |
|
|
423 | if self.xscale: | |
|
|
424 | ax.yaxis.set_major_formatter(FuncFormatter(lambda x, pos: '{0:g}'.format(x*self.yscale))) | |
|
|
425 | if self.xaxis is 'time': | |
|
|
426 | ax.xaxis.set_major_formatter(FuncFormatter(self.__fmtTime)) | |
|
|
427 | ax.xaxis.set_major_locator(LinearLocator(9)) | |
|
|
428 | else: | |
|
|
429 | ax.xaxis.set_major_locator(MultipleLocator(xstep)) | |
|
|
430 | if self.xlabel is not None: | |
|
|
431 | ax.set_xlabel(self.xlabel) | |
|
|
432 | ax.set_ylabel(self.ylabel) | |
|
|
433 | ax.firsttime = False | |
|
|
434 | if self.showprofile: | |
|
|
435 | self.pf_axes[n].set_ylim(ymin, ymax) | |
|
|
436 | self.pf_axes[n].set_xlim(self.zmin, self.zmax) | |
|
|
437 | self.pf_axes[n].set_xlabel('dB') | |
|
|
438 | self.pf_axes[n].grid(b=True, axis='x') | |
|
|
439 | [tick.set_visible(False) | |
|
|
440 | for tick in self.pf_axes[n].get_yticklabels()] | |
|
|
441 | if self.colorbar: | |
|
|
442 | ax.cbar = plt.colorbar( | |
|
|
443 | ax.plt, ax=ax, fraction=0.05, pad=0.02, aspect=10) | |
|
|
444 | ax.cbar.ax.tick_params(labelsize=8) | |
|
|
445 | ax.cbar.ax.press = None | |
|
|
446 | if self.cb_label: | |
|
|
447 | ax.cbar.set_label(self.cb_label, size=8) | |
|
|
448 | elif self.cb_labels: | |
|
|
449 | ax.cbar.set_label(self.cb_labels[n], size=8) | |
|
|
450 | else: | |
|
|
451 | ax.cbar = None | |
|
|
452 | if self.grid: | |
|
|
453 | ax.grid(True) | |
|
|
454 | ||
|
|
455 | if not self.polar: | |
|
|
456 | ax.set_xlim(xmin, xmax) | |
|
|
457 | ax.set_ylim(ymin, ymax) | |
|
|
458 | ax.set_title('{} {} {}'.format( | |
|
|
459 | self.titles[n], | |
|
|
460 | self.getDateTime(self.max_time).strftime('%Y-%m-%dT%H:%M:%S'), | |
|
|
461 | self.time_label), | |
|
|
462 | size=8) | |
|
|
463 | else: | |
|
|
464 | ax.set_title('{}'.format(self.titles[n]), size=8) | |
|
|
465 | ax.set_ylim(0, 90) | |
|
|
466 | ax.set_yticks(numpy.arange(0, 90, 20)) | |
|
|
467 | ax.yaxis.labelpad = 40 | |
|
|
468 | ||
|
|
469 | def __plot(self): | |
|
|
470 | ''' | |
|
|
471 | ''' | |
|
|
472 | log.log('Plotting', self.name) | |
|
|
473 | ||
|
|
474 | try: | |
|
|
475 | self.plot() | |
|
|
476 | self.format() | |
|
|
477 | except Exception as e: | |
|
|
478 | log.warning('{} Plot could not be updated... check data'.format(self.CODE), self.name) | |
|
|
479 | log.error(str(e), '') | |
|
|
480 | return | |
|
|
481 | ||
|
|
482 | for n, fig in enumerate(self.figures): | |
|
|
483 | if self.nrows == 0 or self.nplots == 0: | |
|
|
484 | log.warning('No data', self.name) | |
|
|
485 | fig.text(0.5, 0.5, 'No Data', fontsize='large', ha='center') | |
|
|
486 | fig.canvas.manager.set_window_title(self.CODE) | |
|
|
487 | continue | |
|
|
488 | ||
|
|
489 | fig.tight_layout() | |
|
|
490 | fig.canvas.manager.set_window_title('{} - {}'.format(self.title, | |
|
|
491 | self.getDateTime(self.max_time).strftime('%Y/%m/%d'))) | |
|
|
492 | fig.canvas.draw() | |
|
|
493 | ||
|
|
494 | if self.save and (self.data.ended or not self.data.buffering): | |
|
|
495 | ||
|
|
496 | if self.save_labels: | |
|
|
497 | labels = self.save_labels | |
|
|
498 | else: | |
|
|
499 | labels = list(range(self.nrows)) | |
|
|
500 | ||
|
|
501 | if self.oneFigure: | |
|
|
502 | label = '' | |
|
|
503 | else: | |
|
|
504 | label = '-{}'.format(labels[n]) | |
|
|
505 | figname = os.path.join( | |
|
|
506 | self.save, | |
|
|
507 | self.CODE, | |
|
|
508 | '{}{}_{}.png'.format( | |
|
|
509 | self.CODE, | |
|
|
510 | label, | |
|
|
511 | self.getDateTime(self.saveTime).strftime( | |
|
|
512 | '%Y%m%d_%H%M%S'), | |
|
|
513 | ) | |
|
|
514 | ) | |
|
|
515 | log.log('Saving figure: {}'.format(figname), self.name) | |
|
|
516 | if not os.path.isdir(os.path.dirname(figname)): | |
|
|
517 | os.makedirs(os.path.dirname(figname)) | |
|
|
518 | fig.savefig(figname) | |
|
|
519 | ||
|
|
520 | def plot(self): | |
|
|
521 | ''' | |
|
|
522 | ''' | |
|
|
523 | raise NotImplementedError | |
|
|
524 | ||
|
|
525 | def run(self): | |
|
|
526 | ||
|
|
527 | log.log('Starting', self.name) | |
|
|
528 | ||
|
|
529 | context = zmq.Context() | |
|
|
530 | receiver = context.socket(zmq.SUB) | |
|
|
531 | receiver.setsockopt(zmq.SUBSCRIBE, '') | |
|
|
532 | receiver.setsockopt(zmq.CONFLATE, self.CONFLATE) | |
|
|
533 | ||
|
|
534 | if 'server' in self.kwargs['parent']: | |
|
|
535 | receiver.connect( | |
|
|
536 | 'ipc:///tmp/{}.plots'.format(self.kwargs['parent']['server'])) | |
|
|
537 | else: | |
|
|
538 | receiver.connect("ipc:///tmp/zmq.plots") | |
|
|
539 | ||
|
|
540 | while True: | |
|
|
541 | try: | |
|
|
542 | self.data = receiver.recv_pyobj(flags=zmq.NOBLOCK) | |
|
|
543 | if self.data.localtime and self.localtime: | |
|
|
544 | self.times = self.data.times | |
|
|
545 | elif self.data.localtime and not self.localtime: | |
|
|
546 | self.times = self.data.times + time.timezone | |
|
|
547 | elif not self.data.localtime and self.localtime: | |
|
|
548 | self.times = self.data.times - time.timezone | |
|
|
549 | else: | |
|
|
550 | self.times = self.data.times | |
|
|
551 | ||
|
|
552 | self.min_time = self.times[0] | |
|
|
553 | self.max_time = self.times[-1] | |
|
|
554 | ||
|
|
555 | if self.isConfig is False: | |
|
|
556 | self.__setup() | |
|
|
557 | self.isConfig = True | |
|
|
558 | ||
|
|
559 | self.__plot() | |
|
|
560 | ||
|
|
561 | except zmq.Again as e: | |
|
|
562 | if self.data and self.data.ended: | |
|
|
563 | break | |
|
|
564 | log.log('Waiting for data...') | |
|
|
565 | if self.data: | |
|
|
566 | figpause(self.data.throttle) | |
|
|
567 | else: | |
|
|
568 | time.sleep(2) | |
|
|
569 | ||
|
|
570 | def close(self): | |
|
|
571 | if self.data: | |
|
|
572 | self.__plot() | |
|
|
573 | ||
|
|
574 | ||
|
|
575 | class PlotSpectraData(PlotData): | |
|
|
38 | class SpectraPlot(Plot): | |
|
|
576 | 39 | ''' |
|
|
577 | 40 | Plot for Spectra data |
|
|
578 | 41 | ''' |
|
|
579 | 42 | |
|
|
580 | 43 | CODE = 'spc' |
|
|
581 | 44 | colormap = 'jro' |
|
|
582 | 45 | |
|
|
583 | 46 | def setup(self): |
|
|
584 | 47 | self.nplots = len(self.data.channels) |
|
|
585 | 48 | self.ncols = int(numpy.sqrt(self.nplots) + 0.9) |
|
|
586 | 49 | self.nrows = int((1.0 * self.nplots / self.ncols) + 0.9) |
|
|
587 | 50 | self.width = 3.4 * self.ncols |
|
|
588 | 51 | self.height = 3 * self.nrows |
|
|
589 | 52 | self.cb_label = 'dB' |
|
|
590 | 53 | if self.showprofile: |
|
|
591 | 54 | self.width += 0.8 * self.ncols |
|
|
592 | 55 | |
|
|
593 | 56 | self.ylabel = 'Range [km]' |
|
|
594 | 57 | |
|
|
595 | 58 | def plot(self): |
|
|
596 | 59 | if self.xaxis == "frequency": |
|
|
597 | 60 | x = self.data.xrange[0] |
|
|
598 | 61 | self.xlabel = "Frequency (kHz)" |
|
|
599 | 62 | elif self.xaxis == "time": |
|
|
600 | 63 | x = self.data.xrange[1] |
|
|
601 | 64 | self.xlabel = "Time (ms)" |
|
|
602 | 65 | else: |
|
|
603 | 66 | x = self.data.xrange[2] |
|
|
604 | 67 | self.xlabel = "Velocity (m/s)" |
|
|
605 | 68 | |
|
|
606 | 69 | if self.CODE == 'spc_mean': |
|
|
607 | 70 | x = self.data.xrange[2] |
|
|
608 | 71 | self.xlabel = "Velocity (m/s)" |
|
|
609 | 72 | |
|
|
610 | 73 | self.titles = [] |
|
|
611 | 74 | |
|
|
612 | 75 | y = self.data.heights |
|
|
613 | 76 | self.y = y |
|
|
614 | 77 | z = self.data['spc'] |
|
|
615 | 78 | |
|
|
616 | 79 | for n, ax in enumerate(self.axes): |
|
|
617 | 80 | noise = self.data['noise'][n][-1] |
|
|
618 | 81 | if self.CODE == 'spc_mean': |
|
|
619 | 82 | mean = self.data['mean'][n][-1] |
|
|
620 | 83 | if ax.firsttime: |
|
|
621 | 84 | self.xmax = self.xmax if self.xmax else numpy.nanmax(x) |
|
|
622 | 85 | self.xmin = self.xmin if self.xmin else -self.xmax |
|
|
623 | 86 | self.zmin = self.zmin if self.zmin else numpy.nanmin(z) |
|
|
624 | 87 | self.zmax = self.zmax if self.zmax else numpy.nanmax(z) |
|
|
625 | 88 | ax.plt = ax.pcolormesh(x, y, z[n].T, |
|
|
626 | 89 | vmin=self.zmin, |
|
|
627 | 90 | vmax=self.zmax, |
|
|
628 | 91 | cmap=plt.get_cmap(self.colormap) |
|
|
629 | 92 | ) |
|
|
630 | 93 | |
|
|
631 | 94 | if self.showprofile: |
|
|
632 | 95 | ax.plt_profile = self.pf_axes[n].plot( |
|
|
633 | 96 | self.data['rti'][n][-1], y)[0] |
|
|
634 | 97 | ax.plt_noise = self.pf_axes[n].plot(numpy.repeat(noise, len(y)), y, |
|
|
635 | 98 | color="k", linestyle="dashed", lw=1)[0] |
|
|
636 | 99 | if self.CODE == 'spc_mean': |
|
|
637 | 100 | ax.plt_mean = ax.plot(mean, y, color='k')[0] |
|
|
638 | 101 | else: |
|
|
639 | 102 | ax.plt.set_array(z[n].T.ravel()) |
|
|
640 | 103 | if self.showprofile: |
|
|
641 | 104 | ax.plt_profile.set_data(self.data['rti'][n][-1], y) |
|
|
642 | 105 | ax.plt_noise.set_data(numpy.repeat(noise, len(y)), y) |
|
|
643 | 106 | if self.CODE == 'spc_mean': |
|
|
644 | 107 | ax.plt_mean.set_data(mean, y) |
|
|
645 | 108 | |
|
|
646 | 109 | self.titles.append('CH {}: {:3.2f}dB'.format(n, noise)) |
|
|
647 | self.saveTime = self.max_time | |
|
|
648 | 110 | |
|
|
649 | 111 | |
|
|
650 |
class |
|
|
|
112 | class CrossSpectraPlot(Plot): | |
|
|
651 | 113 | |
|
|
652 | 114 | CODE = 'cspc' |
|
|
653 | 115 | zmin_coh = None |
|
|
654 | 116 | zmax_coh = None |
|
|
655 | 117 | zmin_phase = None |
|
|
656 | 118 | zmax_phase = None |
|
|
657 | 119 | |
|
|
658 | 120 | def setup(self): |
|
|
659 | 121 | |
|
|
660 | 122 | self.ncols = 4 |
|
|
661 | 123 | self.nrows = len(self.data.pairs) |
|
|
662 | 124 | self.nplots = self.nrows * 4 |
|
|
663 | 125 | self.width = 3.4 * self.ncols |
|
|
664 | 126 | self.height = 3 * self.nrows |
|
|
665 | 127 | self.ylabel = 'Range [km]' |
|
|
666 | 128 | self.showprofile = False |
|
|
667 | 129 | |
|
|
668 | 130 | def plot(self): |
|
|
669 | 131 | |
|
|
670 | 132 | if self.xaxis == "frequency": |
|
|
671 | 133 | x = self.data.xrange[0] |
|
|
672 | 134 | self.xlabel = "Frequency (kHz)" |
|
|
673 | 135 | elif self.xaxis == "time": |
|
|
674 | 136 | x = self.data.xrange[1] |
|
|
675 | 137 | self.xlabel = "Time (ms)" |
|
|
676 | 138 | else: |
|
|
677 | 139 | x = self.data.xrange[2] |
|
|
678 | 140 | self.xlabel = "Velocity (m/s)" |
|
|
679 | 141 | |
|
|
680 | 142 | self.titles = [] |
|
|
681 | 143 | |
|
|
682 | 144 | y = self.data.heights |
|
|
683 | 145 | self.y = y |
|
|
684 | 146 | spc = self.data['spc'] |
|
|
685 | 147 | cspc = self.data['cspc'] |
|
|
686 | 148 | |
|
|
687 | 149 | for n in range(self.nrows): |
|
|
688 | 150 | noise = self.data['noise'][n][-1] |
|
|
689 | 151 | pair = self.data.pairs[n] |
|
|
690 | 152 | ax = self.axes[4 * n] |
|
|
691 | 153 | ax3 = self.axes[4 * n + 3] |
|
|
692 | 154 | if ax.firsttime: |
|
|
693 | 155 | self.xmax = self.xmax if self.xmax else numpy.nanmax(x) |
|
|
694 | 156 | self.xmin = self.xmin if self.xmin else -self.xmax |
|
|
695 | 157 | self.zmin = self.zmin if self.zmin else numpy.nanmin(spc) |
|
|
696 | 158 | self.zmax = self.zmax if self.zmax else numpy.nanmax(spc) |
|
|
697 | 159 | ax.plt = ax.pcolormesh(x, y, spc[pair[0]].T, |
|
|
698 | 160 | vmin=self.zmin, |
|
|
699 | 161 | vmax=self.zmax, |
|
|
700 | 162 | cmap=plt.get_cmap(self.colormap) |
|
|
701 | 163 | ) |
|
|
702 | 164 | else: |
|
|
703 | 165 | ax.plt.set_array(spc[pair[0]].T.ravel()) |
|
|
704 | 166 | self.titles.append('CH {}: {:3.2f}dB'.format(n, noise)) |
|
|
705 | 167 | |
|
|
706 | 168 | ax = self.axes[4 * n + 1] |
|
|
707 | 169 | if ax.firsttime: |
|
|
708 | 170 | ax.plt = ax.pcolormesh(x, y, spc[pair[1]].T, |
|
|
709 | 171 | vmin=self.zmin, |
|
|
710 | 172 | vmax=self.zmax, |
|
|
711 | 173 | cmap=plt.get_cmap(self.colormap) |
|
|
712 | 174 | ) |
|
|
713 | 175 | else: |
|
|
714 | 176 | ax.plt.set_array(spc[pair[1]].T.ravel()) |
|
|
715 | 177 | self.titles.append('CH {}: {:3.2f}dB'.format(n, noise)) |
|
|
716 | 178 | |
|
|
717 | 179 | out = cspc[n] / numpy.sqrt(spc[pair[0]] * spc[pair[1]]) |
|
|
718 | 180 | coh = numpy.abs(out) |
|
|
719 | 181 | phase = numpy.arctan2(out.imag, out.real) * 180 / numpy.pi |
|
|
720 | 182 | |
|
|
721 | 183 | ax = self.axes[4 * n + 2] |
|
|
722 | 184 | if ax.firsttime: |
|
|
723 | 185 | ax.plt = ax.pcolormesh(x, y, coh.T, |
|
|
724 | 186 | vmin=0, |
|
|
725 | 187 | vmax=1, |
|
|
726 | 188 | cmap=plt.get_cmap(self.colormap_coh) |
|
|
727 | 189 | ) |
|
|
728 | 190 | else: |
|
|
729 | 191 | ax.plt.set_array(coh.T.ravel()) |
|
|
730 | 192 | self.titles.append( |
|
|
731 | 193 | 'Coherence Ch{} * Ch{}'.format(pair[0], pair[1])) |
|
|
732 | 194 | |
|
|
733 | 195 | ax = self.axes[4 * n + 3] |
|
|
734 | 196 | if ax.firsttime: |
|
|
735 | 197 | ax.plt = ax.pcolormesh(x, y, phase.T, |
|
|
736 | 198 | vmin=-180, |
|
|
737 | 199 | vmax=180, |
|
|
738 | 200 | cmap=plt.get_cmap(self.colormap_phase) |
|
|
739 | 201 | ) |
|
|
740 | 202 | else: |
|
|
741 | 203 | ax.plt.set_array(phase.T.ravel()) |
|
|
742 | 204 | self.titles.append('Phase CH{} * CH{}'.format(pair[0], pair[1])) |
|
|
743 | 205 | |
|
|
744 | self.saveTime = self.max_time | |
|
|
745 | ||
|
|
746 | 206 | |
|
|
747 |
class |
|
|
|
207 | class SpectraMeanPlot(SpectraPlot): | |
|
|
748 | 208 | ''' |
|
|
749 | 209 | Plot for Spectra and Mean |
|
|
750 | 210 | ''' |
|
|
751 | 211 | CODE = 'spc_mean' |
|
|
752 | 212 | colormap = 'jro' |
|
|
753 | 213 | |
|
|
754 | 214 | |
|
|
755 |
class |
|
|
|
215 | class RTIPlot(Plot): | |
|
|
756 | 216 | ''' |
|
|
757 | 217 | Plot for RTI data |
|
|
758 | 218 | ''' |
|
|
759 | 219 | |
|
|
760 | 220 | CODE = 'rti' |
|
|
761 | 221 | colormap = 'jro' |
|
|
762 | 222 | |
|
|
763 | 223 | def setup(self): |
|
|
764 | 224 | self.xaxis = 'time' |
|
|
765 | 225 | self.ncols = 1 |
|
|
766 | 226 | self.nrows = len(self.data.channels) |
|
|
767 | 227 | self.nplots = len(self.data.channels) |
|
|
768 | 228 | self.ylabel = 'Range [km]' |
|
|
769 | 229 | self.cb_label = 'dB' |
|
|
770 | 230 | self.titles = ['{} Channel {}'.format( |
|
|
771 | 231 | self.CODE.upper(), x) for x in range(self.nrows)] |
|
|
772 | 232 | |
|
|
773 | 233 | def plot(self): |
|
|
774 | self.x = self.times | |
|
|
234 | self.x = self.data.times | |
|
|
775 | 235 | self.y = self.data.heights |
|
|
776 | 236 | self.z = self.data[self.CODE] |
|
|
777 | 237 | self.z = numpy.ma.masked_invalid(self.z) |
|
|
778 | 238 | |
|
|
779 | 239 | if self.decimation is None: |
|
|
780 | 240 | x, y, z = self.fill_gaps(self.x, self.y, self.z) |
|
|
781 | 241 | else: |
|
|
782 | 242 | x, y, z = self.fill_gaps(*self.decimate()) |
|
|
783 | 243 | |
|
|
784 |
for n, ax in enumerate(self.axes): |
|
|
|
244 | for n, ax in enumerate(self.axes): | |
|
|
785 | 245 | self.zmin = self.zmin if self.zmin else numpy.min(self.z) |
|
|
786 | 246 | self.zmax = self.zmax if self.zmax else numpy.max(self.z) |
|
|
787 | 247 | if ax.firsttime: |
|
|
788 | 248 | ax.plt = ax.pcolormesh(x, y, z[n].T, |
|
|
789 | 249 | vmin=self.zmin, |
|
|
790 | 250 | vmax=self.zmax, |
|
|
791 | 251 | cmap=plt.get_cmap(self.colormap) |
|
|
792 | 252 | ) |
|
|
793 | 253 | if self.showprofile: |
|
|
794 | 254 | ax.plot_profile = self.pf_axes[n].plot( |
|
|
795 | 255 | self.data['rti'][n][-1], self.y)[0] |
|
|
796 | 256 | ax.plot_noise = self.pf_axes[n].plot(numpy.repeat(self.data['noise'][n][-1], len(self.y)), self.y, |
|
|
797 | 257 | color="k", linestyle="dashed", lw=1)[0] |
|
|
798 | 258 | else: |
|
|
799 | 259 | ax.collections.remove(ax.collections[0]) |
|
|
800 | 260 | ax.plt = ax.pcolormesh(x, y, z[n].T, |
|
|
801 | 261 | vmin=self.zmin, |
|
|
802 | 262 | vmax=self.zmax, |
|
|
803 | 263 | cmap=plt.get_cmap(self.colormap) |
|
|
804 | 264 | ) |
|
|
805 | 265 | if self.showprofile: |
|
|
806 | 266 | ax.plot_profile.set_data(self.data['rti'][n][-1], self.y) |
|
|
807 | 267 | ax.plot_noise.set_data(numpy.repeat( |
|
|
808 | 268 | self.data['noise'][n][-1], len(self.y)), self.y) |
|
|
809 | 269 | |
|
|
810 | self.saveTime = self.min_time | |
|
|
811 | ||
|
|
812 | 270 | |
|
|
813 | class PlotCOHData(PlotRTIData): | |
|
|
271 | class CoherencePlot(RTIPlot): | |
|
|
814 | 272 | ''' |
|
|
815 | 273 | Plot for Coherence data |
|
|
816 | 274 | ''' |
|
|
817 | 275 | |
|
|
818 | 276 | CODE = 'coh' |
|
|
819 | 277 | |
|
|
820 | 278 | def setup(self): |
|
|
821 | 279 | self.xaxis = 'time' |
|
|
822 | 280 | self.ncols = 1 |
|
|
823 | 281 | self.nrows = len(self.data.pairs) |
|
|
824 | 282 | self.nplots = len(self.data.pairs) |
|
|
825 | 283 | self.ylabel = 'Range [km]' |
|
|
826 | 284 | if self.CODE == 'coh': |
|
|
827 | 285 | self.cb_label = '' |
|
|
828 | 286 | self.titles = [ |
|
|
829 | 287 | 'Coherence Map Ch{} * Ch{}'.format(x[0], x[1]) for x in self.data.pairs] |
|
|
830 | 288 | else: |
|
|
831 | 289 | self.cb_label = 'Degrees' |
|
|
832 | 290 | self.titles = [ |
|
|
833 | 291 | 'Phase Map Ch{} * Ch{}'.format(x[0], x[1]) for x in self.data.pairs] |
|
|
834 | 292 | |
|
|
835 | 293 | |
|
|
836 | class PlotPHASEData(PlotCOHData): | |
|
|
294 | class PhasePlot(CoherencePlot): | |
|
|
837 | 295 | ''' |
|
|
838 | 296 | Plot for Phase map data |
|
|
839 | 297 | ''' |
|
|
840 | 298 | |
|
|
841 | 299 | CODE = 'phase' |
|
|
842 | 300 | colormap = 'seismic' |
|
|
843 | 301 | |
|
|
844 | 302 | |
|
|
845 |
class |
|
|
|
303 | class NoisePlot(Plot): | |
|
|
846 | 304 | ''' |
|
|
847 | 305 | Plot for noise |
|
|
848 | 306 | ''' |
|
|
849 | 307 | |
|
|
850 | 308 | CODE = 'noise' |
|
|
851 | 309 | |
|
|
852 | 310 | def setup(self): |
|
|
853 | 311 | self.xaxis = 'time' |
|
|
854 | 312 | self.ncols = 1 |
|
|
855 | 313 | self.nrows = 1 |
|
|
856 | 314 | self.nplots = 1 |
|
|
857 | 315 | self.ylabel = 'Intensity [dB]' |
|
|
858 | 316 | self.titles = ['Noise'] |
|
|
859 | 317 | self.colorbar = False |
|
|
860 | 318 | |
|
|
861 | 319 | def plot(self): |
|
|
862 | 320 | |
|
|
863 | x = self.times | |
|
|
864 | xmin = self.min_time | |
|
|
321 | x = self.data.times | |
|
|
322 | xmin = self.data.min_time | |
|
|
865 | 323 | xmax = xmin + self.xrange * 60 * 60 |
|
|
866 | 324 | Y = self.data[self.CODE] |
|
|
867 | 325 | |
|
|
868 | 326 | if self.axes[0].firsttime: |
|
|
869 | 327 | for ch in self.data.channels: |
|
|
870 | 328 | y = Y[ch] |
|
|
871 | 329 | self.axes[0].plot(x, y, lw=1, label='Ch{}'.format(ch)) |
|
|
872 | 330 | plt.legend() |
|
|
873 | 331 | else: |
|
|
874 | 332 | for ch in self.data.channels: |
|
|
875 | 333 | y = Y[ch] |
|
|
876 | 334 | self.axes[0].lines[ch].set_data(x, y) |
|
|
877 | 335 | |
|
|
878 | 336 | self.ymin = numpy.nanmin(Y) - 5 |
|
|
879 | 337 | self.ymax = numpy.nanmax(Y) + 5 |
|
|
880 | self.saveTime = self.min_time | |
|
|
881 | 338 | |
|
|
882 | 339 | |
|
|
883 |
class Plot |
|
|
|
340 | class SnrPlot(RTIPlot): | |
|
|
884 | 341 | ''' |
|
|
885 | 342 | Plot for SNR Data |
|
|
886 | 343 | ''' |
|
|
887 | 344 | |
|
|
888 | 345 | CODE = 'snr' |
|
|
889 | 346 | colormap = 'jet' |
|
|
890 | 347 | |
|
|
891 | 348 | |
|
|
892 | class PlotDOPData(PlotRTIData): | |
|
|
349 | class DopplerPlot(RTIPlot): | |
|
|
893 | 350 | ''' |
|
|
894 | 351 | Plot for DOPPLER Data |
|
|
895 | 352 | ''' |
|
|
896 | 353 | |
|
|
897 | 354 | CODE = 'dop' |
|
|
898 | 355 | colormap = 'jet' |
|
|
899 | 356 | |
|
|
900 | 357 | |
|
|
901 |
class |
|
|
|
358 | class SkyMapPlot(Plot): | |
|
|
902 | 359 | ''' |
|
|
903 | 360 | Plot for meteors detection data |
|
|
904 | 361 | ''' |
|
|
905 | 362 | |
|
|
906 | 363 | CODE = 'param' |
|
|
907 | 364 | |
|
|
908 | 365 | def setup(self): |
|
|
909 | 366 | |
|
|
910 | 367 | self.ncols = 1 |
|
|
911 | 368 | self.nrows = 1 |
|
|
912 | 369 | self.width = 7.2 |
|
|
913 | 370 | self.height = 7.2 |
|
|
914 | 371 | self.nplots = 1 |
|
|
915 | 372 | self.xlabel = 'Zonal Zenith Angle (deg)' |
|
|
916 | 373 | self.ylabel = 'Meridional Zenith Angle (deg)' |
|
|
917 | 374 | self.polar = True |
|
|
918 | 375 | self.ymin = -180 |
|
|
919 | 376 | self.ymax = 180 |
|
|
920 | 377 | self.colorbar = False |
|
|
921 | 378 | |
|
|
922 | 379 | def plot(self): |
|
|
923 | 380 | |
|
|
924 | 381 | arrayParameters = numpy.concatenate(self.data['param']) |
|
|
925 | 382 | error = arrayParameters[:, -1] |
|
|
926 | 383 | indValid = numpy.where(error == 0)[0] |
|
|
927 | 384 | finalMeteor = arrayParameters[indValid, :] |
|
|
928 | 385 | finalAzimuth = finalMeteor[:, 3] |
|
|
929 | 386 | finalZenith = finalMeteor[:, 4] |
|
|
930 | 387 | |
|
|
931 | 388 | x = finalAzimuth * numpy.pi / 180 |
|
|
932 | 389 | y = finalZenith |
|
|
933 | 390 | |
|
|
934 | 391 | ax = self.axes[0] |
|
|
935 | 392 | |
|
|
936 | 393 | if ax.firsttime: |
|
|
937 | 394 | ax.plot = ax.plot(x, y, 'bo', markersize=5)[0] |
|
|
938 | 395 | else: |
|
|
939 | 396 | ax.plot.set_data(x, y) |
|
|
940 | 397 | |
|
|
941 | dt1 = self.getDateTime(self.min_time).strftime('%y/%m/%d %H:%M:%S') | |
|
|
942 | dt2 = self.getDateTime(self.max_time).strftime('%y/%m/%d %H:%M:%S') | |
|
|
398 | dt1 = self.getDateTime(self.data.min_time).strftime('%y/%m/%d %H:%M:%S') | |
|
|
399 | dt2 = self.getDateTime(self.data.max_time).strftime('%y/%m/%d %H:%M:%S') | |
|
|
943 | 400 | title = 'Meteor Detection Sky Map\n %s - %s \n Number of events: %5.0f\n' % (dt1, |
|
|
944 | 401 | dt2, |
|
|
945 | 402 | len(x)) |
|
|
946 | 403 | self.titles[0] = title |
|
|
947 | self.saveTime = self.max_time | |
|
|
948 | 404 | |
|
|
949 | 405 | |
|
|
950 |
class P |
|
|
|
406 | class ParametersPlot(RTIPlot): | |
|
|
951 | 407 | ''' |
|
|
952 | 408 | Plot for data_param object |
|
|
953 | 409 | ''' |
|
|
954 | 410 | |
|
|
955 | 411 | CODE = 'param' |
|
|
956 | 412 | colormap = 'seismic' |
|
|
957 | 413 | |
|
|
958 | 414 | def setup(self): |
|
|
959 | 415 | self.xaxis = 'time' |
|
|
960 | 416 | self.ncols = 1 |
|
|
961 | 417 | self.nrows = self.data.shape(self.CODE)[0] |
|
|
962 | 418 | self.nplots = self.nrows |
|
|
963 | 419 | if self.showSNR: |
|
|
964 | 420 | self.nrows += 1 |
|
|
965 | 421 | self.nplots += 1 |
|
|
966 | 422 | |
|
|
967 | 423 | self.ylabel = 'Height [km]' |
|
|
968 | 424 | if not self.titles: |
|
|
969 | 425 | self.titles = self.data.parameters \ |
|
|
970 | 426 | if self.data.parameters else ['Param {}'.format(x) for x in range(self.nrows)] |
|
|
971 | 427 | if self.showSNR: |
|
|
972 | 428 | self.titles.append('SNR') |
|
|
973 | 429 | |
|
|
974 | 430 | def plot(self): |
|
|
975 | 431 | self.data.normalize_heights() |
|
|
976 | self.x = self.times | |
|
|
432 | self.x = self.data.times | |
|
|
977 | 433 | self.y = self.data.heights |
|
|
978 | 434 | if self.showSNR: |
|
|
979 | 435 | self.z = numpy.concatenate( |
|
|
980 | 436 | (self.data[self.CODE], self.data['snr']) |
|
|
981 | 437 | ) |
|
|
982 | 438 | else: |
|
|
983 | 439 | self.z = self.data[self.CODE] |
|
|
984 | 440 | |
|
|
985 | 441 | self.z = numpy.ma.masked_invalid(self.z) |
|
|
986 | 442 | |
|
|
987 | 443 | if self.decimation is None: |
|
|
988 | 444 | x, y, z = self.fill_gaps(self.x, self.y, self.z) |
|
|
989 | 445 | else: |
|
|
990 | 446 | x, y, z = self.fill_gaps(*self.decimate()) |
|
|
991 | 447 | |
|
|
992 | 448 | for n, ax in enumerate(self.axes): |
|
|
993 | ||
|
|
449 | ||
|
|
994 | 450 | self.zmax = self.zmax if self.zmax is not None else numpy.max( |
|
|
995 | 451 | self.z[n]) |
|
|
996 | 452 | self.zmin = self.zmin if self.zmin is not None else numpy.min( |
|
|
997 | 453 | self.z[n]) |
|
|
998 | 454 | |
|
|
999 | 455 | if ax.firsttime: |
|
|
1000 | 456 | if self.zlimits is not None: |
|
|
1001 | 457 | self.zmin, self.zmax = self.zlimits[n] |
|
|
1002 | 458 | |
|
|
1003 | 459 | ax.plt = ax.pcolormesh(x, y, z[n].T * self.factors[n], |
|
|
1004 | 460 | vmin=self.zmin, |
|
|
1005 | 461 | vmax=self.zmax, |
|
|
1006 | 462 | cmap=self.cmaps[n] |
|
|
1007 | 463 | ) |
|
|
1008 | 464 | else: |
|
|
1009 | 465 | if self.zlimits is not None: |
|
|
1010 | 466 | self.zmin, self.zmax = self.zlimits[n] |
|
|
1011 | 467 | ax.collections.remove(ax.collections[0]) |
|
|
1012 | 468 | ax.plt = ax.pcolormesh(x, y, z[n].T * self.factors[n], |
|
|
1013 | 469 | vmin=self.zmin, |
|
|
1014 | 470 | vmax=self.zmax, |
|
|
1015 | 471 | cmap=self.cmaps[n] |
|
|
1016 | 472 | ) |
|
|
1017 | 473 | |
|
|
1018 | self.saveTime = self.min_time | |
|
|
1019 | ||
|
|
1020 | 474 | |
|
|
1021 |
class |
|
|
|
475 | class OutputPlot(ParametersPlot): | |
|
|
1022 | 476 | ''' |
|
|
1023 | 477 | Plot data_output object |
|
|
1024 | 478 | ''' |
|
|
1025 | 479 | |
|
|
1026 | 480 | CODE = 'output' |
|
|
1027 | 481 | colormap = 'seismic' |
|
|
1028 | 482 | |
|
|
1029 | 483 | |
|
|
1030 |
class |
|
|
|
484 | class PolarMapPlot(Plot): | |
|
|
1031 | 485 | ''' |
|
|
1032 |
Plot for |
|
|
|
486 | Plot for weather radar | |
|
|
1033 | 487 | ''' |
|
|
1034 | 488 | |
|
|
1035 | 489 | CODE = 'param' |
|
|
1036 | 490 | colormap = 'seismic' |
|
|
1037 | 491 | |
|
|
1038 | 492 | def setup(self): |
|
|
1039 | 493 | self.ncols = 1 |
|
|
1040 | 494 | self.nrows = 1 |
|
|
1041 | 495 | self.width = 9 |
|
|
1042 | 496 | self.height = 8 |
|
|
1043 | 497 | self.mode = self.data.meta['mode'] |
|
|
1044 | 498 | if self.channels is not None: |
|
|
1045 | 499 | self.nplots = len(self.channels) |
|
|
1046 | 500 | self.nrows = len(self.channels) |
|
|
1047 | 501 | else: |
|
|
1048 | 502 | self.nplots = self.data.shape(self.CODE)[0] |
|
|
1049 | 503 | self.nrows = self.nplots |
|
|
1050 | 504 | self.channels = list(range(self.nplots)) |
|
|
1051 | 505 | if self.mode == 'E': |
|
|
1052 | 506 | self.xlabel = 'Longitude' |
|
|
1053 | 507 | self.ylabel = 'Latitude' |
|
|
1054 | 508 | else: |
|
|
1055 | 509 | self.xlabel = 'Range (km)' |
|
|
1056 | 510 | self.ylabel = 'Height (km)' |
|
|
1057 | 511 | self.bgcolor = 'white' |
|
|
1058 | 512 | self.cb_labels = self.data.meta['units'] |
|
|
1059 | 513 | self.lat = self.data.meta['latitude'] |
|
|
1060 | 514 | self.lon = self.data.meta['longitude'] |
|
|
1061 | self.xmin, self.xmax = float(km2deg(self.xmin) + self.lon), float(km2deg(self.xmax) + self.lon) | |
|
|
1062 |
|
|
|
|
515 | self.xmin, self.xmax = float( | |
|
|
516 | km2deg(self.xmin) + self.lon), float(km2deg(self.xmax) + self.lon) | |
|
|
517 | self.ymin, self.ymax = float( | |
|
|
518 | km2deg(self.ymin) + self.lat), float(km2deg(self.ymax) + self.lat) | |
|
|
1063 | 519 | # self.polar = True |
|
|
1064 | 520 | |
|
|
1065 |
def plot(self): |
|
|
|
1066 | ||
|
|
521 | def plot(self): | |
|
|
522 | ||
|
|
1067 | 523 | for n, ax in enumerate(self.axes): |
|
|
1068 | 524 | data = self.data['param'][self.channels[n]] |
|
|
1069 | ||
|
|
1070 |
zeniths = numpy.linspace( |
|
|
|
1071 | if self.mode == 'E': | |
|
|
525 | ||
|
|
526 | zeniths = numpy.linspace( | |
|
|
527 | 0, self.data.meta['max_range'], data.shape[1]) | |
|
|
528 | if self.mode == 'E': | |
|
|
1072 | 529 | azimuths = -numpy.radians(self.data.heights)+numpy.pi/2 |
|
|
1073 | 530 | r, theta = numpy.meshgrid(zeniths, azimuths) |
|
|
1074 |
x, y = r*numpy.cos(theta)*numpy.cos(numpy.radians(self.data.meta['elevation'])), r*numpy.sin( |
|
|
|
531 | x, y = r*numpy.cos(theta)*numpy.cos(numpy.radians(self.data.meta['elevation'])), r*numpy.sin( | |
|
|
532 | theta)*numpy.cos(numpy.radians(self.data.meta['elevation'])) | |
|
|
1075 | 533 | x = km2deg(x) + self.lon |
|
|
1076 | 534 | y = km2deg(y) + self.lat |
|
|
1077 | 535 | else: |
|
|
1078 | 536 | azimuths = numpy.radians(self.data.heights) |
|
|
1079 | 537 | r, theta = numpy.meshgrid(zeniths, azimuths) |
|
|
1080 | 538 | x, y = r*numpy.cos(theta), r*numpy.sin(theta) |
|
|
1081 | 539 | self.y = zeniths |
|
|
1082 | 540 | |
|
|
1083 | 541 | if ax.firsttime: |
|
|
1084 | 542 | if self.zlimits is not None: |
|
|
1085 | 543 | self.zmin, self.zmax = self.zlimits[n] |
|
|
1086 | ax.plt = ax.pcolormesh(#r, theta, numpy.ma.array(data, mask=numpy.isnan(data)), | |
|
|
1087 |
|
|
|
|
1088 |
|
|
|
|
1089 |
|
|
|
|
1090 |
|
|
|
|
544 | ax.plt = ax.pcolormesh( # r, theta, numpy.ma.array(data, mask=numpy.isnan(data)), | |
|
|
545 | x, y, numpy.ma.array(data, mask=numpy.isnan(data)), | |
|
|
546 | vmin=self.zmin, | |
|
|
547 | vmax=self.zmax, | |
|
|
548 | cmap=self.cmaps[n]) | |
|
|
1091 | 549 | else: |
|
|
1092 | 550 | if self.zlimits is not None: |
|
|
1093 | 551 | self.zmin, self.zmax = self.zlimits[n] |
|
|
1094 | 552 | ax.collections.remove(ax.collections[0]) |
|
|
1095 | ax.plt = ax.pcolormesh(# r, theta, numpy.ma.array(data, mask=numpy.isnan(data)), | |
|
|
1096 |
|
|
|
|
1097 |
|
|
|
|
1098 |
|
|
|
|
1099 |
|
|
|
|
553 | ax.plt = ax.pcolormesh( # r, theta, numpy.ma.array(data, mask=numpy.isnan(data)), | |
|
|
554 | x, y, numpy.ma.array(data, mask=numpy.isnan(data)), | |
|
|
555 | vmin=self.zmin, | |
|
|
556 | vmax=self.zmax, | |
|
|
557 | cmap=self.cmaps[n]) | |
|
|
1100 | 558 | |
|
|
1101 | 559 | if self.mode == 'A': |
|
|
1102 | 560 | continue |
|
|
1103 | ||
|
|
561 | ||
|
|
1104 | 562 | # plot district names |
|
|
1105 | 563 | f = open('/data/workspace/schain_scripts/distrito.csv') |
|
|
1106 | 564 | for line in f: |
|
|
1107 | 565 | label, lon, lat = [s.strip() for s in line.split(',') if s] |
|
|
1108 | 566 | lat = float(lat) |
|
|
1109 |
lon = float(lon) |
|
|
|
567 | lon = float(lon) | |
|
|
1110 | 568 | # ax.plot(lon, lat, '.b', ms=2) |
|
|
1111 |
ax.text(lon, lat, label.decode('utf8'), ha='center', |
|
|
|
1112 | ||
|
|
569 | ax.text(lon, lat, label.decode('utf8'), ha='center', | |
|
|
570 | va='bottom', size='8', color='black') | |
|
|
571 | ||
|
|
1113 | 572 | # plot limites |
|
|
1114 | limites =[] | |
|
|
573 | limites = [] | |
|
|
1115 | 574 | tmp = [] |
|
|
1116 | 575 | for line in open('/data/workspace/schain_scripts/lima.csv'): |
|
|
1117 | 576 | if '#' in line: |
|
|
1118 | 577 | if tmp: |
|
|
1119 | 578 | limites.append(tmp) |
|
|
1120 | 579 | tmp = [] |
|
|
1121 | 580 | continue |
|
|
1122 | 581 | values = line.strip().split(',') |
|
|
1123 | 582 | tmp.append((float(values[0]), float(values[1]))) |
|
|
1124 | 583 | for points in limites: |
|
|
1125 | ax.add_patch(Polygon(points, ec='k', fc='none', ls='--', lw=0.5)) | |
|
|
584 | ax.add_patch( | |
|
|
585 | Polygon(points, ec='k', fc='none', ls='--', lw=0.5)) | |
|
|
1126 | 586 | |
|
|
1127 | 587 | # plot Cuencas |
|
|
1128 | 588 | for cuenca in ('rimac', 'lurin', 'mala', 'chillon', 'chilca', 'chancay-huaral'): |
|
|
1129 | 589 | f = open('/data/workspace/schain_scripts/{}.csv'.format(cuenca)) |
|
|
1130 | 590 | values = [line.strip().split(',') for line in f] |
|
|
1131 | 591 | points = [(float(s[0]), float(s[1])) for s in values] |
|
|
1132 | 592 | ax.add_patch(Polygon(points, ec='b', fc='none')) |
|
|
1133 | 593 | |
|
|
1134 | 594 | # plot grid |
|
|
1135 | 595 | for r in (15, 30, 45, 60): |
|
|
1136 |
ax.add_artist(plt.Circle((self.lon, self.lat), |
|
|
|
596 | ax.add_artist(plt.Circle((self.lon, self.lat), | |
|
|
597 | km2deg(r), color='0.6', fill=False, lw=0.2)) | |
|
|
1137 | 598 | ax.text( |
|
|
1138 | 599 | self.lon + (km2deg(r))*numpy.cos(60*numpy.pi/180), |
|
|
1139 | 600 | self.lat + (km2deg(r))*numpy.sin(60*numpy.pi/180), |
|
|
1140 |
'{}km'.format(r), |
|
|
|
601 | '{}km'.format(r), | |
|
|
1141 | 602 | ha='center', va='bottom', size='8', color='0.6', weight='heavy') |
|
|
1142 | ||
|
|
603 | ||
|
|
1143 | 604 | if self.mode == 'E': |
|
|
1144 | 605 | title = 'El={}$^\circ$'.format(self.data.meta['elevation']) |
|
|
1145 | 606 | label = 'E{:02d}'.format(int(self.data.meta['elevation'])) |
|
|
1146 | 607 | else: |
|
|
1147 | 608 | title = 'Az={}$^\circ$'.format(self.data.meta['azimuth']) |
|
|
1148 | 609 | label = 'A{:02d}'.format(int(self.data.meta['azimuth'])) |
|
|
1149 | ||
|
|
1150 | self.save_labels = ['{}-{}'.format(lbl, label) for lbl in self.labels] | |
|
|
1151 | self.titles = ['{} {}'.format(self.data.parameters[x], title) for x in self.channels] | |
|
|
1152 | self.saveTime = self.max_time | |
|
|
1153 | 610 | |
|
|
1154 | No newline at end of file | |
|
|
611 | self.save_labels = ['{}-{}'.format(lbl, label) for lbl in self.labels] | |
|
|
612 | self.titles = ['{} {}'.format( | |
|
|
613 | self.data.parameters[x], title) for x in self.channels] | |
| @@ -1,329 +1,329 | |||
|
|
1 | 1 | ''' |
|
|
2 | 2 | Created on Jul 9, 2014 |
|
|
3 | 3 | |
|
|
4 | 4 | @author: roj-idl71 |
|
|
5 | 5 | ''' |
|
|
6 | 6 | import os |
|
|
7 | 7 | import datetime |
|
|
8 | 8 | import numpy |
|
|
9 | 9 | |
|
|
10 | 10 | from .figure import Figure, isRealtime |
|
|
11 | 11 | from .plotting_codes import * |
|
|
12 | 12 | |
|
|
13 | class SpectraHeisScope(Figure): | |
|
|
13 | class SpectraHeisScope_(Figure): | |
|
|
14 | 14 | |
|
|
15 | 15 | |
|
|
16 | 16 | isConfig = None |
|
|
17 | 17 | __nsubplots = None |
|
|
18 | 18 | |
|
|
19 | 19 | WIDTHPROF = None |
|
|
20 | 20 | HEIGHTPROF = None |
|
|
21 | 21 | PREFIX = 'spc' |
|
|
22 | 22 | |
|
|
23 | 23 | def __init__(self, **kwargs): |
|
|
24 | 24 | |
|
|
25 | 25 | Figure.__init__(self, **kwargs) |
|
|
26 | 26 | self.isConfig = False |
|
|
27 | 27 | self.__nsubplots = 1 |
|
|
28 | 28 | |
|
|
29 | 29 | self.WIDTH = 230 |
|
|
30 | 30 | self.HEIGHT = 250 |
|
|
31 | 31 | self.WIDTHPROF = 120 |
|
|
32 | 32 | self.HEIGHTPROF = 0 |
|
|
33 | 33 | self.counter_imagwr = 0 |
|
|
34 | 34 | |
|
|
35 | 35 | self.PLOT_CODE = SPEC_CODE |
|
|
36 | 36 | |
|
|
37 | 37 | def getSubplots(self): |
|
|
38 | 38 | |
|
|
39 | 39 | ncol = int(numpy.sqrt(self.nplots)+0.9) |
|
|
40 | 40 | nrow = int(self.nplots*1./ncol + 0.9) |
|
|
41 | 41 | |
|
|
42 | 42 | return nrow, ncol |
|
|
43 | 43 | |
|
|
44 | 44 | def setup(self, id, nplots, wintitle, show): |
|
|
45 | 45 | |
|
|
46 | 46 | showprofile = False |
|
|
47 | 47 | self.__showprofile = showprofile |
|
|
48 | 48 | self.nplots = nplots |
|
|
49 | 49 | |
|
|
50 | 50 | ncolspan = 1 |
|
|
51 | 51 | colspan = 1 |
|
|
52 | 52 | if showprofile: |
|
|
53 | 53 | ncolspan = 3 |
|
|
54 | 54 | colspan = 2 |
|
|
55 | 55 | self.__nsubplots = 2 |
|
|
56 | 56 | |
|
|
57 | 57 | self.createFigure(id = id, |
|
|
58 | 58 | wintitle = wintitle, |
|
|
59 | 59 | widthplot = self.WIDTH + self.WIDTHPROF, |
|
|
60 | 60 | heightplot = self.HEIGHT + self.HEIGHTPROF, |
|
|
61 | 61 | show = show) |
|
|
62 | 62 | |
|
|
63 | 63 | nrow, ncol = self.getSubplots() |
|
|
64 | 64 | |
|
|
65 | 65 | counter = 0 |
|
|
66 | 66 | for y in range(nrow): |
|
|
67 | 67 | for x in range(ncol): |
|
|
68 | 68 | |
|
|
69 | 69 | if counter >= self.nplots: |
|
|
70 | 70 | break |
|
|
71 | 71 | |
|
|
72 | 72 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan, colspan, 1) |
|
|
73 | 73 | |
|
|
74 | 74 | if showprofile: |
|
|
75 | 75 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan+colspan, 1, 1) |
|
|
76 | 76 | |
|
|
77 | 77 | counter += 1 |
|
|
78 | 78 | |
|
|
79 | 79 | |
|
|
80 | 80 | def run(self, dataOut, id, wintitle="", channelList=None, |
|
|
81 | 81 | xmin=None, xmax=None, ymin=None, ymax=None, save=False, |
|
|
82 | 82 | figpath='./', figfile=None, ftp=False, wr_period=1, show=True, |
|
|
83 | 83 | server=None, folder=None, username=None, password=None, |
|
|
84 | 84 | ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0): |
|
|
85 | 85 | |
|
|
86 | 86 | """ |
|
|
87 | 87 | |
|
|
88 | 88 | Input: |
|
|
89 | 89 | dataOut : |
|
|
90 | 90 | id : |
|
|
91 | 91 | wintitle : |
|
|
92 | 92 | channelList : |
|
|
93 | 93 | xmin : None, |
|
|
94 | 94 | xmax : None, |
|
|
95 | 95 | ymin : None, |
|
|
96 | 96 | ymax : None, |
|
|
97 | 97 | """ |
|
|
98 | 98 | |
|
|
99 | 99 | if dataOut.realtime: |
|
|
100 | 100 | if not(isRealtime(utcdatatime = dataOut.utctime)): |
|
|
101 | 101 | print('Skipping this plot function') |
|
|
102 | 102 | return |
|
|
103 | 103 | |
|
|
104 | 104 | if channelList == None: |
|
|
105 | 105 | channelIndexList = dataOut.channelIndexList |
|
|
106 | 106 | else: |
|
|
107 | 107 | channelIndexList = [] |
|
|
108 | 108 | for channel in channelList: |
|
|
109 | 109 | if channel not in dataOut.channelList: |
|
|
110 | 110 | raise ValueError("Channel %d is not in dataOut.channelList") |
|
|
111 | 111 | channelIndexList.append(dataOut.channelList.index(channel)) |
|
|
112 | 112 | |
|
|
113 | 113 | # x = dataOut.heightList |
|
|
114 | 114 | c = 3E8 |
|
|
115 | 115 | deltaHeight = dataOut.heightList[1] - dataOut.heightList[0] |
|
|
116 | 116 | #deberia cambiar para el caso de 1Mhz y 100KHz |
|
|
117 | 117 | x = numpy.arange(-1*dataOut.nHeights/2.,dataOut.nHeights/2.)*(c/(2*deltaHeight*dataOut.nHeights*1000)) |
|
|
118 | 118 | #para 1Mhz descomentar la siguiente linea |
|
|
119 | 119 | #x= x/(10000.0) |
|
|
120 | 120 | # y = dataOut.data[channelIndexList,:] * numpy.conjugate(dataOut.data[channelIndexList,:]) |
|
|
121 | 121 | # y = y.real |
|
|
122 | 122 | factor = dataOut.normFactor |
|
|
123 | 123 | data = dataOut.data_spc / factor |
|
|
124 | 124 | datadB = 10.*numpy.log10(data) |
|
|
125 | 125 | y = datadB |
|
|
126 | 126 | |
|
|
127 | 127 | #thisDatetime = dataOut.datatime |
|
|
128 | 128 | thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.getTimeRange()[0]) |
|
|
129 | 129 | title = wintitle + " Scope: %s" %(thisDatetime.strftime("%d-%b-%Y %H:%M:%S")) |
|
|
130 | 130 | xlabel = "" |
|
|
131 | 131 | #para 1Mhz descomentar la siguiente linea |
|
|
132 | 132 | #xlabel = "Frequency x 10000" |
|
|
133 | 133 | ylabel = "Intensity (dB)" |
|
|
134 | 134 | |
|
|
135 | 135 | if not self.isConfig: |
|
|
136 | 136 | nplots = len(channelIndexList) |
|
|
137 | 137 | |
|
|
138 | 138 | self.setup(id=id, |
|
|
139 | 139 | nplots=nplots, |
|
|
140 | 140 | wintitle=wintitle, |
|
|
141 | 141 | show=show) |
|
|
142 | 142 | |
|
|
143 | 143 | if xmin == None: xmin = numpy.nanmin(x) |
|
|
144 | 144 | if xmax == None: xmax = numpy.nanmax(x) |
|
|
145 | 145 | if ymin == None: ymin = numpy.nanmin(y) |
|
|
146 | 146 | if ymax == None: ymax = numpy.nanmax(y) |
|
|
147 | 147 | |
|
|
148 | 148 | self.FTP_WEI = ftp_wei |
|
|
149 | 149 | self.EXP_CODE = exp_code |
|
|
150 | 150 | self.SUB_EXP_CODE = sub_exp_code |
|
|
151 | 151 | self.PLOT_POS = plot_pos |
|
|
152 | 152 | |
|
|
153 | 153 | self.isConfig = True |
|
|
154 | 154 | |
|
|
155 | 155 | self.setWinTitle(title) |
|
|
156 | 156 | |
|
|
157 | 157 | for i in range(len(self.axesList)): |
|
|
158 | 158 | ychannel = y[i,:] |
|
|
159 | 159 | str_datetime = '%s %s'%(thisDatetime.strftime("%Y/%m/%d"),thisDatetime.strftime("%H:%M:%S")) |
|
|
160 | 160 | title = "Channel %d: %4.2fdB: %s" %(dataOut.channelList[channelIndexList[i]], numpy.max(ychannel), str_datetime) |
|
|
161 | 161 | axes = self.axesList[i] |
|
|
162 | 162 | axes.pline(x, ychannel, |
|
|
163 | 163 | xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, |
|
|
164 | 164 | xlabel=xlabel, ylabel=ylabel, title=title, grid='both') |
|
|
165 | 165 | |
|
|
166 | 166 | |
|
|
167 | 167 | self.draw() |
|
|
168 | 168 | |
|
|
169 | 169 | self.save(figpath=figpath, |
|
|
170 | 170 | figfile=figfile, |
|
|
171 | 171 | save=save, |
|
|
172 | 172 | ftp=ftp, |
|
|
173 | 173 | wr_period=wr_period, |
|
|
174 | 174 | thisDatetime=thisDatetime) |
|
|
175 | 175 | |
|
|
176 | class RTIfromSpectraHeis(Figure): | |
|
|
176 | class RTIfromSpectraHeis_(Figure): | |
|
|
177 | 177 | |
|
|
178 | 178 | isConfig = None |
|
|
179 | 179 | __nsubplots = None |
|
|
180 | 180 | |
|
|
181 | 181 | PREFIX = 'rtinoise' |
|
|
182 | 182 | |
|
|
183 | 183 | def __init__(self, **kwargs): |
|
|
184 | 184 | Figure.__init__(self, **kwargs) |
|
|
185 | 185 | self.timerange = 24*60*60 |
|
|
186 | 186 | self.isConfig = False |
|
|
187 | 187 | self.__nsubplots = 1 |
|
|
188 | 188 | |
|
|
189 | 189 | self.WIDTH = 820 |
|
|
190 | 190 | self.HEIGHT = 200 |
|
|
191 | 191 | self.WIDTHPROF = 120 |
|
|
192 | 192 | self.HEIGHTPROF = 0 |
|
|
193 | 193 | self.counter_imagwr = 0 |
|
|
194 | 194 | self.xdata = None |
|
|
195 | 195 | self.ydata = None |
|
|
196 | 196 | self.figfile = None |
|
|
197 | 197 | |
|
|
198 | 198 | self.PLOT_CODE = RTI_CODE |
|
|
199 | 199 | |
|
|
200 | 200 | def getSubplots(self): |
|
|
201 | 201 | |
|
|
202 | 202 | ncol = 1 |
|
|
203 | 203 | nrow = 1 |
|
|
204 | 204 | |
|
|
205 | 205 | return nrow, ncol |
|
|
206 | 206 | |
|
|
207 | 207 | def setup(self, id, nplots, wintitle, showprofile=True, show=True): |
|
|
208 | 208 | |
|
|
209 | 209 | self.__showprofile = showprofile |
|
|
210 | 210 | self.nplots = nplots |
|
|
211 | 211 | |
|
|
212 | 212 | ncolspan = 7 |
|
|
213 | 213 | colspan = 6 |
|
|
214 | 214 | self.__nsubplots = 2 |
|
|
215 | 215 | |
|
|
216 | 216 | self.createFigure(id = id, |
|
|
217 | 217 | wintitle = wintitle, |
|
|
218 | 218 | widthplot = self.WIDTH+self.WIDTHPROF, |
|
|
219 | 219 | heightplot = self.HEIGHT+self.HEIGHTPROF, |
|
|
220 | 220 | show = show) |
|
|
221 | 221 | |
|
|
222 | 222 | nrow, ncol = self.getSubplots() |
|
|
223 | 223 | |
|
|
224 | 224 | self.addAxes(nrow, ncol*ncolspan, 0, 0, colspan, 1) |
|
|
225 | 225 | |
|
|
226 | 226 | |
|
|
227 | 227 | def run(self, dataOut, id, wintitle="", channelList=None, showprofile='True', |
|
|
228 | 228 | xmin=None, xmax=None, ymin=None, ymax=None, |
|
|
229 | 229 | timerange=None, |
|
|
230 | 230 | save=False, figpath='./', figfile=None, ftp=False, wr_period=1, show=True, |
|
|
231 | 231 | server=None, folder=None, username=None, password=None, |
|
|
232 | 232 | ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0): |
|
|
233 | 233 | |
|
|
234 | 234 | if channelList == None: |
|
|
235 | 235 | channelIndexList = dataOut.channelIndexList |
|
|
236 | 236 | channelList = dataOut.channelList |
|
|
237 | 237 | else: |
|
|
238 | 238 | channelIndexList = [] |
|
|
239 | 239 | for channel in channelList: |
|
|
240 | 240 | if channel not in dataOut.channelList: |
|
|
241 | 241 | raise ValueError("Channel %d is not in dataOut.channelList") |
|
|
242 | 242 | channelIndexList.append(dataOut.channelList.index(channel)) |
|
|
243 | 243 | |
|
|
244 | 244 | if timerange != None: |
|
|
245 | 245 | self.timerange = timerange |
|
|
246 | 246 | |
|
|
247 | 247 | x = dataOut.getTimeRange() |
|
|
248 | 248 | y = dataOut.getHeiRange() |
|
|
249 | 249 | |
|
|
250 | 250 | factor = dataOut.normFactor |
|
|
251 | 251 | data = dataOut.data_spc / factor |
|
|
252 | 252 | data = numpy.average(data,axis=1) |
|
|
253 | 253 | datadB = 10*numpy.log10(data) |
|
|
254 | 254 | |
|
|
255 | 255 | # factor = dataOut.normFactor |
|
|
256 | 256 | # noise = dataOut.getNoise()/factor |
|
|
257 | 257 | # noisedB = 10*numpy.log10(noise) |
|
|
258 | 258 | |
|
|
259 | 259 | #thisDatetime = dataOut.datatime |
|
|
260 | 260 | thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.getTimeRange()[0]) |
|
|
261 | 261 | title = wintitle + " RTI: %s" %(thisDatetime.strftime("%d-%b-%Y")) |
|
|
262 | 262 | xlabel = "Local Time" |
|
|
263 | 263 | ylabel = "Intensity (dB)" |
|
|
264 | 264 | |
|
|
265 | 265 | if not self.isConfig: |
|
|
266 | 266 | |
|
|
267 | 267 | nplots = 1 |
|
|
268 | 268 | |
|
|
269 | 269 | self.setup(id=id, |
|
|
270 | 270 | nplots=nplots, |
|
|
271 | 271 | wintitle=wintitle, |
|
|
272 | 272 | showprofile=showprofile, |
|
|
273 | 273 | show=show) |
|
|
274 | 274 | |
|
|
275 | 275 | self.tmin, self.tmax = self.getTimeLim(x, xmin, xmax) |
|
|
276 | 276 | |
|
|
277 | 277 | if ymin == None: ymin = numpy.nanmin(datadB) |
|
|
278 | 278 | if ymax == None: ymax = numpy.nanmax(datadB) |
|
|
279 | 279 | |
|
|
280 | 280 | self.name = thisDatetime.strftime("%Y%m%d_%H%M%S") |
|
|
281 | 281 | self.isConfig = True |
|
|
282 | 282 | self.figfile = figfile |
|
|
283 | 283 | self.xdata = numpy.array([]) |
|
|
284 | 284 | self.ydata = numpy.array([]) |
|
|
285 | 285 | |
|
|
286 | 286 | self.FTP_WEI = ftp_wei |
|
|
287 | 287 | self.EXP_CODE = exp_code |
|
|
288 | 288 | self.SUB_EXP_CODE = sub_exp_code |
|
|
289 | 289 | self.PLOT_POS = plot_pos |
|
|
290 | 290 | |
|
|
291 | 291 | self.setWinTitle(title) |
|
|
292 | 292 | |
|
|
293 | 293 | |
|
|
294 | 294 | # title = "RTI %s" %(thisDatetime.strftime("%d-%b-%Y")) |
|
|
295 | 295 | title = "RTI - %s" %(thisDatetime.strftime("%d-%b-%Y %H:%M:%S")) |
|
|
296 | 296 | |
|
|
297 | 297 | legendlabels = ["channel %d"%idchannel for idchannel in channelList] |
|
|
298 | 298 | axes = self.axesList[0] |
|
|
299 | 299 | |
|
|
300 | 300 | self.xdata = numpy.hstack((self.xdata, x[0:1])) |
|
|
301 | 301 | |
|
|
302 | 302 | if len(self.ydata)==0: |
|
|
303 | 303 | self.ydata = datadB[channelIndexList].reshape(-1,1) |
|
|
304 | 304 | else: |
|
|
305 | 305 | self.ydata = numpy.hstack((self.ydata, datadB[channelIndexList].reshape(-1,1))) |
|
|
306 | 306 | |
|
|
307 | 307 | |
|
|
308 | 308 | axes.pmultilineyaxis(x=self.xdata, y=self.ydata, |
|
|
309 | 309 | xmin=self.tmin, xmax=self.tmax, ymin=ymin, ymax=ymax, |
|
|
310 | 310 | xlabel=xlabel, ylabel=ylabel, title=title, legendlabels=legendlabels, marker='.', markersize=8, linestyle="solid", grid='both', |
|
|
311 | 311 | XAxisAsTime=True |
|
|
312 | 312 | ) |
|
|
313 | 313 | |
|
|
314 | 314 | self.draw() |
|
|
315 | 315 | |
|
|
316 | 316 | update_figfile = False |
|
|
317 | 317 | |
|
|
318 | 318 | if dataOut.ltctime >= self.tmax: |
|
|
319 | 319 | self.counter_imagwr = wr_period |
|
|
320 | 320 | self.isConfig = False |
|
|
321 | 321 | update_figfile = True |
|
|
322 | 322 | |
|
|
323 | 323 | self.save(figpath=figpath, |
|
|
324 | 324 | figfile=figfile, |
|
|
325 | 325 | save=save, |
|
|
326 | 326 | ftp=ftp, |
|
|
327 | 327 | wr_period=wr_period, |
|
|
328 | 328 | thisDatetime=thisDatetime, |
|
|
329 | 329 | update_figfile=update_figfile) No newline at end of file |
| @@ -1,2158 +1,2158 | |||
|
|
1 | 1 | import os |
|
|
2 | 2 | import datetime |
|
|
3 | 3 | import numpy |
|
|
4 | 4 | import inspect |
|
|
5 | 5 | from .figure import Figure, isRealtime, isTimeInHourRange |
|
|
6 | 6 | from .plotting_codes import * |
|
|
7 | 7 | from schainpy.model.proc.jroproc_base import MPDecorator |
|
|
8 | 8 | from schainpy.utils import log |
|
|
9 | 9 | |
|
|
10 | class FitGauPlot(Figure): | |
|
|
10 | class FitGauPlot_(Figure): | |
|
|
11 | 11 | |
|
|
12 | 12 | isConfig = None |
|
|
13 | 13 | __nsubplots = None |
|
|
14 | 14 | |
|
|
15 | 15 | WIDTHPROF = None |
|
|
16 | 16 | HEIGHTPROF = None |
|
|
17 | 17 | PREFIX = 'fitgau' |
|
|
18 | 18 | |
|
|
19 | 19 | def __init__(self, **kwargs): |
|
|
20 | 20 | Figure.__init__(self, **kwargs) |
|
|
21 | 21 | self.isConfig = False |
|
|
22 | 22 | self.__nsubplots = 1 |
|
|
23 | 23 | |
|
|
24 | 24 | self.WIDTH = 250 |
|
|
25 | 25 | self.HEIGHT = 250 |
|
|
26 | 26 | self.WIDTHPROF = 120 |
|
|
27 | 27 | self.HEIGHTPROF = 0 |
|
|
28 | 28 | self.counter_imagwr = 0 |
|
|
29 | 29 | |
|
|
30 | 30 | self.PLOT_CODE = SPEC_CODE |
|
|
31 | 31 | |
|
|
32 | 32 | self.FTP_WEI = None |
|
|
33 | 33 | self.EXP_CODE = None |
|
|
34 | 34 | self.SUB_EXP_CODE = None |
|
|
35 | 35 | self.PLOT_POS = None |
|
|
36 | 36 | |
|
|
37 | 37 | self.__xfilter_ena = False |
|
|
38 | 38 | self.__yfilter_ena = False |
|
|
39 | 39 | |
|
|
40 | 40 | def getSubplots(self): |
|
|
41 | 41 | |
|
|
42 | 42 | ncol = int(numpy.sqrt(self.nplots)+0.9) |
|
|
43 | 43 | nrow = int(self.nplots*1./ncol + 0.9) |
|
|
44 | 44 | |
|
|
45 | 45 | return nrow, ncol |
|
|
46 | 46 | |
|
|
47 | 47 | def setup(self, id, nplots, wintitle, showprofile=True, show=True): |
|
|
48 | 48 | |
|
|
49 | 49 | self.__showprofile = showprofile |
|
|
50 | 50 | self.nplots = nplots |
|
|
51 | 51 | |
|
|
52 | 52 | ncolspan = 1 |
|
|
53 | 53 | colspan = 1 |
|
|
54 | 54 | if showprofile: |
|
|
55 | 55 | ncolspan = 3 |
|
|
56 | 56 | colspan = 2 |
|
|
57 | 57 | self.__nsubplots = 2 |
|
|
58 | 58 | |
|
|
59 | 59 | self.createFigure(id = id, |
|
|
60 | 60 | wintitle = wintitle, |
|
|
61 | 61 | widthplot = self.WIDTH + self.WIDTHPROF, |
|
|
62 | 62 | heightplot = self.HEIGHT + self.HEIGHTPROF, |
|
|
63 | 63 | show=show) |
|
|
64 | 64 | |
|
|
65 | 65 | nrow, ncol = self.getSubplots() |
|
|
66 | 66 | |
|
|
67 | 67 | counter = 0 |
|
|
68 | 68 | for y in range(nrow): |
|
|
69 | 69 | for x in range(ncol): |
|
|
70 | 70 | |
|
|
71 | 71 | if counter >= self.nplots: |
|
|
72 | 72 | break |
|
|
73 | 73 | |
|
|
74 | 74 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan, colspan, 1) |
|
|
75 | 75 | |
|
|
76 | 76 | if showprofile: |
|
|
77 | 77 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan+colspan, 1, 1) |
|
|
78 | 78 | |
|
|
79 | 79 | counter += 1 |
|
|
80 | 80 | |
|
|
81 | 81 | def run(self, dataOut, id, wintitle="", channelList=None, showprofile=True, |
|
|
82 | 82 | xmin=None, xmax=None, ymin=None, ymax=None, zmin=None, zmax=None, |
|
|
83 | 83 | save=False, figpath='./', figfile=None, show=True, ftp=False, wr_period=1, |
|
|
84 | 84 | server=None, folder=None, username=None, password=None, |
|
|
85 | 85 | ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0, realtime=False, |
|
|
86 | 86 | xaxis="frequency", colormap='jet', normFactor=None , GauSelector = 1): |
|
|
87 | 87 | |
|
|
88 | 88 | """ |
|
|
89 | 89 | |
|
|
90 | 90 | Input: |
|
|
91 | 91 | dataOut : |
|
|
92 | 92 | id : |
|
|
93 | 93 | wintitle : |
|
|
94 | 94 | channelList : |
|
|
95 | 95 | showProfile : |
|
|
96 | 96 | xmin : None, |
|
|
97 | 97 | xmax : None, |
|
|
98 | 98 | ymin : None, |
|
|
99 | 99 | ymax : None, |
|
|
100 | 100 | zmin : None, |
|
|
101 | 101 | zmax : None |
|
|
102 | 102 | """ |
|
|
103 | 103 | if realtime: |
|
|
104 | 104 | if not(isRealtime(utcdatatime = dataOut.utctime)): |
|
|
105 | 105 | print('Skipping this plot function') |
|
|
106 | 106 | return |
|
|
107 | 107 | |
|
|
108 | 108 | if channelList == None: |
|
|
109 | 109 | channelIndexList = dataOut.channelIndexList |
|
|
110 | 110 | else: |
|
|
111 | 111 | channelIndexList = [] |
|
|
112 | 112 | for channel in channelList: |
|
|
113 | 113 | if channel not in dataOut.channelList: |
|
|
114 | 114 | raise ValueError("Channel %d is not in dataOut.channelList" %channel) |
|
|
115 | 115 | channelIndexList.append(dataOut.channelList.index(channel)) |
|
|
116 | 116 | |
|
|
117 | 117 | # if normFactor is None: |
|
|
118 | 118 | # factor = dataOut.normFactor |
|
|
119 | 119 | # else: |
|
|
120 | 120 | # factor = normFactor |
|
|
121 | 121 | if xaxis == "frequency": |
|
|
122 | 122 | x = dataOut.spc_range[0] |
|
|
123 | 123 | xlabel = "Frequency (kHz)" |
|
|
124 | 124 | |
|
|
125 | 125 | elif xaxis == "time": |
|
|
126 | 126 | x = dataOut.spc_range[1] |
|
|
127 | 127 | xlabel = "Time (ms)" |
|
|
128 | 128 | |
|
|
129 | 129 | else: |
|
|
130 | 130 | x = dataOut.spc_range[2] |
|
|
131 | 131 | xlabel = "Velocity (m/s)" |
|
|
132 | 132 | |
|
|
133 | 133 | ylabel = "Range (Km)" |
|
|
134 | 134 | |
|
|
135 | 135 | y = dataOut.getHeiRange() |
|
|
136 | 136 | |
|
|
137 | 137 | z = dataOut.GauSPC[:,GauSelector,:,:] #GauSelector] #dataOut.data_spc/factor |
|
|
138 | 138 | print('GausSPC', z[0,32,10:40]) |
|
|
139 | 139 | z = numpy.where(numpy.isfinite(z), z, numpy.NAN) |
|
|
140 | 140 | zdB = 10*numpy.log10(z) |
|
|
141 | 141 | |
|
|
142 | 142 | avg = numpy.average(z, axis=1) |
|
|
143 | 143 | avgdB = 10*numpy.log10(avg) |
|
|
144 | 144 | |
|
|
145 | 145 | noise = dataOut.spc_noise |
|
|
146 | 146 | noisedB = 10*numpy.log10(noise) |
|
|
147 | 147 | |
|
|
148 | 148 | thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.getTimeRange()[0]) |
|
|
149 | 149 | title = wintitle + " Spectra" |
|
|
150 | 150 | if ((dataOut.azimuth!=None) and (dataOut.zenith!=None)): |
|
|
151 | 151 | title = title + '_' + 'azimuth,zenith=%2.2f,%2.2f'%(dataOut.azimuth, dataOut.zenith) |
|
|
152 | 152 | |
|
|
153 | 153 | if not self.isConfig: |
|
|
154 | 154 | |
|
|
155 | 155 | nplots = len(channelIndexList) |
|
|
156 | 156 | |
|
|
157 | 157 | self.setup(id=id, |
|
|
158 | 158 | nplots=nplots, |
|
|
159 | 159 | wintitle=wintitle, |
|
|
160 | 160 | showprofile=showprofile, |
|
|
161 | 161 | show=show) |
|
|
162 | 162 | |
|
|
163 | 163 | if xmin == None: xmin = numpy.nanmin(x) |
|
|
164 | 164 | if xmax == None: xmax = numpy.nanmax(x) |
|
|
165 | 165 | if ymin == None: ymin = numpy.nanmin(y) |
|
|
166 | 166 | if ymax == None: ymax = numpy.nanmax(y) |
|
|
167 | 167 | if zmin == None: zmin = numpy.floor(numpy.nanmin(noisedB)) - 3 |
|
|
168 | 168 | if zmax == None: zmax = numpy.ceil(numpy.nanmax(avgdB)) + 3 |
|
|
169 | 169 | |
|
|
170 | 170 | self.FTP_WEI = ftp_wei |
|
|
171 | 171 | self.EXP_CODE = exp_code |
|
|
172 | 172 | self.SUB_EXP_CODE = sub_exp_code |
|
|
173 | 173 | self.PLOT_POS = plot_pos |
|
|
174 | 174 | |
|
|
175 | 175 | self.isConfig = True |
|
|
176 | 176 | |
|
|
177 | 177 | self.setWinTitle(title) |
|
|
178 | 178 | |
|
|
179 | 179 | for i in range(self.nplots): |
|
|
180 | 180 | index = channelIndexList[i] |
|
|
181 | 181 | str_datetime = '%s %s'%(thisDatetime.strftime("%Y/%m/%d"),thisDatetime.strftime("%H:%M:%S")) |
|
|
182 | 182 | title = "Channel %d: %4.2fdB: %s" %(dataOut.channelList[index], noisedB[index], str_datetime) |
|
|
183 | 183 | if len(dataOut.beam.codeList) != 0: |
|
|
184 | 184 | title = "Ch%d:%4.2fdB,%2.2f,%2.2f:%s" %(dataOut.channelList[index], noisedB[index], dataOut.beam.azimuthList[index], dataOut.beam.zenithList[index], str_datetime) |
|
|
185 | 185 | |
|
|
186 | 186 | axes = self.axesList[i*self.__nsubplots] |
|
|
187 | 187 | axes.pcolor(x, y, zdB[index,:,:], |
|
|
188 | 188 | xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, zmin=zmin, zmax=zmax, |
|
|
189 | 189 | xlabel=xlabel, ylabel=ylabel, title=title, colormap=colormap, |
|
|
190 | 190 | ticksize=9, cblabel='') |
|
|
191 | 191 | |
|
|
192 | 192 | if self.__showprofile: |
|
|
193 | 193 | axes = self.axesList[i*self.__nsubplots +1] |
|
|
194 | 194 | axes.pline(avgdB[index,:], y, |
|
|
195 | 195 | xmin=zmin, xmax=zmax, ymin=ymin, ymax=ymax, |
|
|
196 | 196 | xlabel='dB', ylabel='', title='', |
|
|
197 | 197 | ytick_visible=False, |
|
|
198 | 198 | grid='x') |
|
|
199 | 199 | |
|
|
200 | 200 | noiseline = numpy.repeat(noisedB[index], len(y)) |
|
|
201 | 201 | axes.addpline(noiseline, y, idline=1, color="black", linestyle="dashed", lw=2) |
|
|
202 | 202 | |
|
|
203 | 203 | self.draw() |
|
|
204 | 204 | |
|
|
205 | 205 | if figfile == None: |
|
|
206 | 206 | str_datetime = thisDatetime.strftime("%Y%m%d_%H%M%S") |
|
|
207 | 207 | name = str_datetime |
|
|
208 | 208 | if ((dataOut.azimuth!=None) and (dataOut.zenith!=None)): |
|
|
209 | 209 | name = name + '_az' + '_%2.2f'%(dataOut.azimuth) + '_zn' + '_%2.2f'%(dataOut.zenith) |
|
|
210 | 210 | figfile = self.getFilename(name) |
|
|
211 | 211 | |
|
|
212 | 212 | self.save(figpath=figpath, |
|
|
213 | 213 | figfile=figfile, |
|
|
214 | 214 | save=save, |
|
|
215 | 215 | ftp=ftp, |
|
|
216 | 216 | wr_period=wr_period, |
|
|
217 | 217 | thisDatetime=thisDatetime) |
|
|
218 | 218 | |
|
|
219 | 219 | |
|
|
220 | 220 | |
|
|
221 | class MomentsPlot(Figure): | |
|
|
221 | class MomentsPlot_(Figure): | |
|
|
222 | 222 | |
|
|
223 | 223 | isConfig = None |
|
|
224 | 224 | __nsubplots = None |
|
|
225 | 225 | |
|
|
226 | 226 | WIDTHPROF = None |
|
|
227 | 227 | HEIGHTPROF = None |
|
|
228 | 228 | PREFIX = 'prm' |
|
|
229 | 229 | def __init__(self): |
|
|
230 | 230 | Figure.__init__(self) |
|
|
231 | 231 | self.isConfig = False |
|
|
232 | 232 | self.__nsubplots = 1 |
|
|
233 | 233 | |
|
|
234 | 234 | self.WIDTH = 280 |
|
|
235 | 235 | self.HEIGHT = 250 |
|
|
236 | 236 | self.WIDTHPROF = 120 |
|
|
237 | 237 | self.HEIGHTPROF = 0 |
|
|
238 | 238 | self.counter_imagwr = 0 |
|
|
239 | 239 | |
|
|
240 | 240 | self.PLOT_CODE = MOMENTS_CODE |
|
|
241 | 241 | |
|
|
242 | 242 | self.FTP_WEI = None |
|
|
243 | 243 | self.EXP_CODE = None |
|
|
244 | 244 | self.SUB_EXP_CODE = None |
|
|
245 | 245 | self.PLOT_POS = None |
|
|
246 | 246 | |
|
|
247 | 247 | def getSubplots(self): |
|
|
248 | 248 | |
|
|
249 | 249 | ncol = int(numpy.sqrt(self.nplots)+0.9) |
|
|
250 | 250 | nrow = int(self.nplots*1./ncol + 0.9) |
|
|
251 | 251 | |
|
|
252 | 252 | return nrow, ncol |
|
|
253 | 253 | |
|
|
254 | 254 | def setup(self, id, nplots, wintitle, showprofile=True, show=True): |
|
|
255 | 255 | |
|
|
256 | 256 | self.__showprofile = showprofile |
|
|
257 | 257 | self.nplots = nplots |
|
|
258 | 258 | |
|
|
259 | 259 | ncolspan = 1 |
|
|
260 | 260 | colspan = 1 |
|
|
261 | 261 | if showprofile: |
|
|
262 | 262 | ncolspan = 3 |
|
|
263 | 263 | colspan = 2 |
|
|
264 | 264 | self.__nsubplots = 2 |
|
|
265 | 265 | |
|
|
266 | 266 | self.createFigure(id = id, |
|
|
267 | 267 | wintitle = wintitle, |
|
|
268 | 268 | widthplot = self.WIDTH + self.WIDTHPROF, |
|
|
269 | 269 | heightplot = self.HEIGHT + self.HEIGHTPROF, |
|
|
270 | 270 | show=show) |
|
|
271 | 271 | |
|
|
272 | 272 | nrow, ncol = self.getSubplots() |
|
|
273 | 273 | |
|
|
274 | 274 | counter = 0 |
|
|
275 | 275 | for y in range(nrow): |
|
|
276 | 276 | for x in range(ncol): |
|
|
277 | 277 | |
|
|
278 | 278 | if counter >= self.nplots: |
|
|
279 | 279 | break |
|
|
280 | 280 | |
|
|
281 | 281 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan, colspan, 1) |
|
|
282 | 282 | |
|
|
283 | 283 | if showprofile: |
|
|
284 | 284 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan+colspan, 1, 1) |
|
|
285 | 285 | |
|
|
286 | 286 | counter += 1 |
|
|
287 | 287 | |
|
|
288 | 288 | def run(self, dataOut, id, wintitle="", channelList=None, showprofile=True, |
|
|
289 | 289 | xmin=None, xmax=None, ymin=None, ymax=None, zmin=None, zmax=None, |
|
|
290 | 290 | save=False, figpath='./', figfile=None, show=True, ftp=False, wr_period=1, |
|
|
291 | 291 | server=None, folder=None, username=None, password=None, |
|
|
292 | 292 | ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0, realtime=False): |
|
|
293 | 293 | |
|
|
294 | 294 | """ |
|
|
295 | 295 | |
|
|
296 | 296 | Input: |
|
|
297 | 297 | dataOut : |
|
|
298 | 298 | id : |
|
|
299 | 299 | wintitle : |
|
|
300 | 300 | channelList : |
|
|
301 | 301 | showProfile : |
|
|
302 | 302 | xmin : None, |
|
|
303 | 303 | xmax : None, |
|
|
304 | 304 | ymin : None, |
|
|
305 | 305 | ymax : None, |
|
|
306 | 306 | zmin : None, |
|
|
307 | 307 | zmax : None |
|
|
308 | 308 | """ |
|
|
309 | 309 | |
|
|
310 | 310 | if dataOut.flagNoData: |
|
|
311 | 311 | return None |
|
|
312 | 312 | |
|
|
313 | 313 | if realtime: |
|
|
314 | 314 | if not(isRealtime(utcdatatime = dataOut.utctime)): |
|
|
315 | 315 | print('Skipping this plot function') |
|
|
316 | 316 | return |
|
|
317 | 317 | |
|
|
318 | 318 | if channelList == None: |
|
|
319 | 319 | channelIndexList = dataOut.channelIndexList |
|
|
320 | 320 | else: |
|
|
321 | 321 | channelIndexList = [] |
|
|
322 | 322 | for channel in channelList: |
|
|
323 | 323 | if channel not in dataOut.channelList: |
|
|
324 | 324 | raise ValueError("Channel %d is not in dataOut.channelList") |
|
|
325 | 325 | channelIndexList.append(dataOut.channelList.index(channel)) |
|
|
326 | 326 | |
|
|
327 | 327 | factor = dataOut.normFactor |
|
|
328 | 328 | x = dataOut.abscissaList |
|
|
329 | 329 | y = dataOut.heightList |
|
|
330 | 330 | |
|
|
331 | 331 | z = dataOut.data_pre[channelIndexList,:,:]/factor |
|
|
332 | 332 | z = numpy.where(numpy.isfinite(z), z, numpy.NAN) |
|
|
333 | 333 | avg = numpy.average(z, axis=1) |
|
|
334 | 334 | noise = dataOut.noise/factor |
|
|
335 | 335 | |
|
|
336 | 336 | zdB = 10*numpy.log10(z) |
|
|
337 | 337 | avgdB = 10*numpy.log10(avg) |
|
|
338 | 338 | noisedB = 10*numpy.log10(noise) |
|
|
339 | 339 | |
|
|
340 | 340 | #thisDatetime = dataOut.datatime |
|
|
341 | 341 | thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.getTimeRange()[0]) |
|
|
342 | 342 | title = wintitle + " Parameters" |
|
|
343 | 343 | xlabel = "Velocity (m/s)" |
|
|
344 | 344 | ylabel = "Range (Km)" |
|
|
345 | 345 | |
|
|
346 | 346 | update_figfile = False |
|
|
347 | 347 | |
|
|
348 | 348 | if not self.isConfig: |
|
|
349 | 349 | |
|
|
350 | 350 | nplots = len(channelIndexList) |
|
|
351 | 351 | |
|
|
352 | 352 | self.setup(id=id, |
|
|
353 | 353 | nplots=nplots, |
|
|
354 | 354 | wintitle=wintitle, |
|
|
355 | 355 | showprofile=showprofile, |
|
|
356 | 356 | show=show) |
|
|
357 | 357 | |
|
|
358 | 358 | if xmin == None: xmin = numpy.nanmin(x) |
|
|
359 | 359 | if xmax == None: xmax = numpy.nanmax(x) |
|
|
360 | 360 | if ymin == None: ymin = numpy.nanmin(y) |
|
|
361 | 361 | if ymax == None: ymax = numpy.nanmax(y) |
|
|
362 | 362 | if zmin == None: zmin = numpy.nanmin(avgdB)*0.9 |
|
|
363 | 363 | if zmax == None: zmax = numpy.nanmax(avgdB)*0.9 |
|
|
364 | 364 | |
|
|
365 | 365 | self.FTP_WEI = ftp_wei |
|
|
366 | 366 | self.EXP_CODE = exp_code |
|
|
367 | 367 | self.SUB_EXP_CODE = sub_exp_code |
|
|
368 | 368 | self.PLOT_POS = plot_pos |
|
|
369 | 369 | |
|
|
370 | 370 | self.isConfig = True |
|
|
371 | 371 | update_figfile = True |
|
|
372 | 372 | |
|
|
373 | 373 | self.setWinTitle(title) |
|
|
374 | 374 | |
|
|
375 | 375 | for i in range(self.nplots): |
|
|
376 | 376 | str_datetime = '%s %s'%(thisDatetime.strftime("%Y/%m/%d"),thisDatetime.strftime("%H:%M:%S")) |
|
|
377 | 377 | title = "Channel %d: %4.2fdB: %s" %(dataOut.channelList[i], noisedB[i], str_datetime) |
|
|
378 | 378 | axes = self.axesList[i*self.__nsubplots] |
|
|
379 | 379 | axes.pcolor(x, y, zdB[i,:,:], |
|
|
380 | 380 | xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, zmin=zmin, zmax=zmax, |
|
|
381 | 381 | xlabel=xlabel, ylabel=ylabel, title=title, |
|
|
382 | 382 | ticksize=9, cblabel='') |
|
|
383 | 383 | #Mean Line |
|
|
384 | 384 | mean = dataOut.data_param[i, 1, :] |
|
|
385 | 385 | axes.addpline(mean, y, idline=0, color="black", linestyle="solid", lw=1) |
|
|
386 | 386 | |
|
|
387 | 387 | if self.__showprofile: |
|
|
388 | 388 | axes = self.axesList[i*self.__nsubplots +1] |
|
|
389 | 389 | axes.pline(avgdB[i], y, |
|
|
390 | 390 | xmin=zmin, xmax=zmax, ymin=ymin, ymax=ymax, |
|
|
391 | 391 | xlabel='dB', ylabel='', title='', |
|
|
392 | 392 | ytick_visible=False, |
|
|
393 | 393 | grid='x') |
|
|
394 | 394 | |
|
|
395 | 395 | noiseline = numpy.repeat(noisedB[i], len(y)) |
|
|
396 | 396 | axes.addpline(noiseline, y, idline=1, color="black", linestyle="dashed", lw=2) |
|
|
397 | 397 | |
|
|
398 | 398 | self.draw() |
|
|
399 | 399 | |
|
|
400 | 400 | self.save(figpath=figpath, |
|
|
401 | 401 | figfile=figfile, |
|
|
402 | 402 | save=save, |
|
|
403 | 403 | ftp=ftp, |
|
|
404 | 404 | wr_period=wr_period, |
|
|
405 | 405 | thisDatetime=thisDatetime) |
|
|
406 | 406 | |
|
|
407 | 407 | |
|
|
408 | class SkyMapPlot(Figure): | |
|
|
408 | class SkyMapPlot_(Figure): | |
|
|
409 | 409 | |
|
|
410 | 410 | __isConfig = None |
|
|
411 | 411 | __nsubplots = None |
|
|
412 | 412 | |
|
|
413 | 413 | WIDTHPROF = None |
|
|
414 | 414 | HEIGHTPROF = None |
|
|
415 | 415 | PREFIX = 'mmap' |
|
|
416 | 416 | |
|
|
417 | 417 | def __init__(self, **kwargs): |
|
|
418 | 418 | Figure.__init__(self, **kwargs) |
|
|
419 | 419 | self.isConfig = False |
|
|
420 | 420 | self.__nsubplots = 1 |
|
|
421 | 421 | |
|
|
422 | 422 | # self.WIDTH = 280 |
|
|
423 | 423 | # self.HEIGHT = 250 |
|
|
424 | 424 | self.WIDTH = 600 |
|
|
425 | 425 | self.HEIGHT = 600 |
|
|
426 | 426 | self.WIDTHPROF = 120 |
|
|
427 | 427 | self.HEIGHTPROF = 0 |
|
|
428 | 428 | self.counter_imagwr = 0 |
|
|
429 | 429 | |
|
|
430 | 430 | self.PLOT_CODE = MSKYMAP_CODE |
|
|
431 | 431 | |
|
|
432 | 432 | self.FTP_WEI = None |
|
|
433 | 433 | self.EXP_CODE = None |
|
|
434 | 434 | self.SUB_EXP_CODE = None |
|
|
435 | 435 | self.PLOT_POS = None |
|
|
436 | 436 | |
|
|
437 | 437 | def getSubplots(self): |
|
|
438 | 438 | |
|
|
439 | 439 | ncol = int(numpy.sqrt(self.nplots)+0.9) |
|
|
440 | 440 | nrow = int(self.nplots*1./ncol + 0.9) |
|
|
441 | 441 | |
|
|
442 | 442 | return nrow, ncol |
|
|
443 | 443 | |
|
|
444 | 444 | def setup(self, id, nplots, wintitle, showprofile=False, show=True): |
|
|
445 | 445 | |
|
|
446 | 446 | self.__showprofile = showprofile |
|
|
447 | 447 | self.nplots = nplots |
|
|
448 | 448 | |
|
|
449 | 449 | ncolspan = 1 |
|
|
450 | 450 | colspan = 1 |
|
|
451 | 451 | |
|
|
452 | 452 | self.createFigure(id = id, |
|
|
453 | 453 | wintitle = wintitle, |
|
|
454 | 454 | widthplot = self.WIDTH, #+ self.WIDTHPROF, |
|
|
455 | 455 | heightplot = self.HEIGHT,# + self.HEIGHTPROF, |
|
|
456 | 456 | show=show) |
|
|
457 | 457 | |
|
|
458 | 458 | nrow, ncol = 1,1 |
|
|
459 | 459 | counter = 0 |
|
|
460 | 460 | x = 0 |
|
|
461 | 461 | y = 0 |
|
|
462 | 462 | self.addAxes(1, 1, 0, 0, 1, 1, True) |
|
|
463 | 463 | |
|
|
464 | 464 | def run(self, dataOut, id, wintitle="", channelList=None, showprofile=False, |
|
|
465 | 465 | tmin=0, tmax=24, timerange=None, |
|
|
466 | 466 | save=False, figpath='./', figfile=None, show=True, ftp=False, wr_period=1, |
|
|
467 | 467 | server=None, folder=None, username=None, password=None, |
|
|
468 | 468 | ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0, realtime=False): |
|
|
469 | 469 | |
|
|
470 | 470 | """ |
|
|
471 | 471 | |
|
|
472 | 472 | Input: |
|
|
473 | 473 | dataOut : |
|
|
474 | 474 | id : |
|
|
475 | 475 | wintitle : |
|
|
476 | 476 | channelList : |
|
|
477 | 477 | showProfile : |
|
|
478 | 478 | xmin : None, |
|
|
479 | 479 | xmax : None, |
|
|
480 | 480 | ymin : None, |
|
|
481 | 481 | ymax : None, |
|
|
482 | 482 | zmin : None, |
|
|
483 | 483 | zmax : None |
|
|
484 | 484 | """ |
|
|
485 | 485 | |
|
|
486 | 486 | arrayParameters = dataOut.data_param |
|
|
487 | 487 | error = arrayParameters[:,-1] |
|
|
488 | 488 | indValid = numpy.where(error == 0)[0] |
|
|
489 | 489 | finalMeteor = arrayParameters[indValid,:] |
|
|
490 | 490 | finalAzimuth = finalMeteor[:,3] |
|
|
491 | 491 | finalZenith = finalMeteor[:,4] |
|
|
492 | 492 | |
|
|
493 | 493 | x = finalAzimuth*numpy.pi/180 |
|
|
494 | 494 | y = finalZenith |
|
|
495 | 495 | x1 = [dataOut.ltctime, dataOut.ltctime] |
|
|
496 | 496 | |
|
|
497 | 497 | #thisDatetime = dataOut.datatime |
|
|
498 | 498 | thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.ltctime) |
|
|
499 | 499 | title = wintitle + " Parameters" |
|
|
500 | 500 | xlabel = "Zonal Zenith Angle (deg) " |
|
|
501 | 501 | ylabel = "Meridional Zenith Angle (deg)" |
|
|
502 | 502 | update_figfile = False |
|
|
503 | 503 | |
|
|
504 | 504 | if not self.isConfig: |
|
|
505 | 505 | |
|
|
506 | 506 | nplots = 1 |
|
|
507 | 507 | |
|
|
508 | 508 | self.setup(id=id, |
|
|
509 | 509 | nplots=nplots, |
|
|
510 | 510 | wintitle=wintitle, |
|
|
511 | 511 | showprofile=showprofile, |
|
|
512 | 512 | show=show) |
|
|
513 | 513 | |
|
|
514 | 514 | if self.xmin is None and self.xmax is None: |
|
|
515 | 515 | self.xmin, self.xmax = self.getTimeLim(x1, tmin, tmax, timerange) |
|
|
516 | 516 | |
|
|
517 | 517 | if timerange != None: |
|
|
518 | 518 | self.timerange = timerange |
|
|
519 | 519 | else: |
|
|
520 | 520 | self.timerange = self.xmax - self.xmin |
|
|
521 | 521 | |
|
|
522 | 522 | self.FTP_WEI = ftp_wei |
|
|
523 | 523 | self.EXP_CODE = exp_code |
|
|
524 | 524 | self.SUB_EXP_CODE = sub_exp_code |
|
|
525 | 525 | self.PLOT_POS = plot_pos |
|
|
526 | 526 | self.name = thisDatetime.strftime("%Y%m%d_%H%M%S") |
|
|
527 | 527 | self.firstdate = '%s %s'%(thisDatetime.strftime("%Y/%m/%d"),thisDatetime.strftime("%H:%M:%S")) |
|
|
528 | 528 | self.isConfig = True |
|
|
529 | 529 | update_figfile = True |
|
|
530 | 530 | |
|
|
531 | 531 | self.setWinTitle(title) |
|
|
532 | 532 | |
|
|
533 | 533 | i = 0 |
|
|
534 | 534 | str_datetime = '%s %s'%(thisDatetime.strftime("%Y/%m/%d"),thisDatetime.strftime("%H:%M:%S")) |
|
|
535 | 535 | |
|
|
536 | 536 | axes = self.axesList[i*self.__nsubplots] |
|
|
537 | 537 | nevents = axes.x_buffer.shape[0] + x.shape[0] |
|
|
538 | 538 | title = "Meteor Detection Sky Map\n %s - %s \n Number of events: %5.0f\n" %(self.firstdate,str_datetime,nevents) |
|
|
539 | 539 | axes.polar(x, y, |
|
|
540 | 540 | title=title, xlabel=xlabel, ylabel=ylabel, |
|
|
541 | 541 | ticksize=9, cblabel='') |
|
|
542 | 542 | |
|
|
543 | 543 | self.draw() |
|
|
544 | 544 | |
|
|
545 | 545 | self.save(figpath=figpath, |
|
|
546 | 546 | figfile=figfile, |
|
|
547 | 547 | save=save, |
|
|
548 | 548 | ftp=ftp, |
|
|
549 | 549 | wr_period=wr_period, |
|
|
550 | 550 | thisDatetime=thisDatetime, |
|
|
551 | 551 | update_figfile=update_figfile) |
|
|
552 | 552 | |
|
|
553 | 553 | if dataOut.ltctime >= self.xmax: |
|
|
554 | 554 | self.isConfigmagwr = wr_period |
|
|
555 | 555 | self.isConfig = False |
|
|
556 | 556 | update_figfile = True |
|
|
557 | 557 | axes.__firsttime = True |
|
|
558 | 558 | self.xmin += self.timerange |
|
|
559 | 559 | self.xmax += self.timerange |
|
|
560 | 560 | |
|
|
561 | 561 | |
|
|
562 | 562 | |
|
|
563 | 563 | |
|
|
564 | class WindProfilerPlot(Figure): | |
|
|
564 | class WindProfilerPlot_(Figure): | |
|
|
565 | 565 | |
|
|
566 | 566 | __isConfig = None |
|
|
567 | 567 | __nsubplots = None |
|
|
568 | 568 | |
|
|
569 | 569 | WIDTHPROF = None |
|
|
570 | 570 | HEIGHTPROF = None |
|
|
571 | 571 | PREFIX = 'wind' |
|
|
572 | 572 | |
|
|
573 | 573 | def __init__(self, **kwargs): |
|
|
574 | 574 | Figure.__init__(self, **kwargs) |
|
|
575 | 575 | self.timerange = None |
|
|
576 | 576 | self.isConfig = False |
|
|
577 | 577 | self.__nsubplots = 1 |
|
|
578 | 578 | |
|
|
579 | 579 | self.WIDTH = 800 |
|
|
580 | 580 | self.HEIGHT = 300 |
|
|
581 | 581 | self.WIDTHPROF = 120 |
|
|
582 | 582 | self.HEIGHTPROF = 0 |
|
|
583 | 583 | self.counter_imagwr = 0 |
|
|
584 | 584 | |
|
|
585 | 585 | self.PLOT_CODE = WIND_CODE |
|
|
586 | 586 | |
|
|
587 | 587 | self.FTP_WEI = None |
|
|
588 | 588 | self.EXP_CODE = None |
|
|
589 | 589 | self.SUB_EXP_CODE = None |
|
|
590 | 590 | self.PLOT_POS = None |
|
|
591 | 591 | self.tmin = None |
|
|
592 | 592 | self.tmax = None |
|
|
593 | 593 | |
|
|
594 | 594 | self.xmin = None |
|
|
595 | 595 | self.xmax = None |
|
|
596 | 596 | |
|
|
597 | 597 | self.figfile = None |
|
|
598 | 598 | |
|
|
599 | 599 | def getSubplots(self): |
|
|
600 | 600 | |
|
|
601 | 601 | ncol = 1 |
|
|
602 | 602 | nrow = self.nplots |
|
|
603 | 603 | |
|
|
604 | 604 | return nrow, ncol |
|
|
605 | 605 | |
|
|
606 | 606 | def setup(self, id, nplots, wintitle, showprofile=True, show=True): |
|
|
607 | 607 | |
|
|
608 | 608 | self.__showprofile = showprofile |
|
|
609 | 609 | self.nplots = nplots |
|
|
610 | 610 | |
|
|
611 | 611 | ncolspan = 1 |
|
|
612 | 612 | colspan = 1 |
|
|
613 | 613 | |
|
|
614 | 614 | self.createFigure(id = id, |
|
|
615 | 615 | wintitle = wintitle, |
|
|
616 | 616 | widthplot = self.WIDTH + self.WIDTHPROF, |
|
|
617 | 617 | heightplot = self.HEIGHT + self.HEIGHTPROF, |
|
|
618 | 618 | show=show) |
|
|
619 | 619 | |
|
|
620 | 620 | nrow, ncol = self.getSubplots() |
|
|
621 | 621 | |
|
|
622 | 622 | counter = 0 |
|
|
623 | 623 | for y in range(nrow): |
|
|
624 | 624 | if counter >= self.nplots: |
|
|
625 | 625 | break |
|
|
626 | 626 | |
|
|
627 | 627 | self.addAxes(nrow, ncol*ncolspan, y, 0, colspan, 1) |
|
|
628 | 628 | counter += 1 |
|
|
629 | 629 | |
|
|
630 | 630 | def run(self, dataOut, id, wintitle="", channelList=None, showprofile='False', |
|
|
631 | 631 | xmin=None, xmax=None, ymin=None, ymax=None, zmin=None, zmax=None, |
|
|
632 | 632 | zmax_ver = None, zmin_ver = None, SNRmin = None, SNRmax = None, |
|
|
633 | 633 | timerange=None, SNRthresh = None, |
|
|
634 | 634 | save=False, figpath='./', lastone=0,figfile=None, ftp=False, wr_period=1, show=True, |
|
|
635 | 635 | server=None, folder=None, username=None, password=None, |
|
|
636 | 636 | ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0): |
|
|
637 | 637 | """ |
|
|
638 | 638 | |
|
|
639 | 639 | Input: |
|
|
640 | 640 | dataOut : |
|
|
641 | 641 | id : |
|
|
642 | 642 | wintitle : |
|
|
643 | 643 | channelList : |
|
|
644 | 644 | showProfile : |
|
|
645 | 645 | xmin : None, |
|
|
646 | 646 | xmax : None, |
|
|
647 | 647 | ymin : None, |
|
|
648 | 648 | ymax : None, |
|
|
649 | 649 | zmin : None, |
|
|
650 | 650 | zmax : None |
|
|
651 | 651 | """ |
|
|
652 | 652 | |
|
|
653 | 653 | # if timerange is not None: |
|
|
654 | 654 | # self.timerange = timerange |
|
|
655 | 655 | # |
|
|
656 | 656 | # tmin = None |
|
|
657 | 657 | # tmax = None |
|
|
658 | 658 | |
|
|
659 | 659 | x = dataOut.getTimeRange1(dataOut.paramInterval) |
|
|
660 | 660 | y = dataOut.heightList |
|
|
661 | 661 | z = dataOut.data_output.copy() |
|
|
662 | 662 | nplots = z.shape[0] #Number of wind dimensions estimated |
|
|
663 | 663 | nplotsw = nplots |
|
|
664 | 664 | |
|
|
665 | 665 | |
|
|
666 | 666 | #If there is a SNR function defined |
|
|
667 | 667 | if dataOut.data_SNR is not None: |
|
|
668 | 668 | nplots += 1 |
|
|
669 | 669 | SNR = dataOut.data_SNR |
|
|
670 | 670 | SNRavg = numpy.average(SNR, axis=0) |
|
|
671 | 671 | |
|
|
672 | 672 | SNRdB = 10*numpy.log10(SNR) |
|
|
673 | 673 | SNRavgdB = 10*numpy.log10(SNRavg) |
|
|
674 | 674 | |
|
|
675 | 675 | if SNRthresh == None: SNRthresh = -5.0 |
|
|
676 | 676 | ind = numpy.where(SNRavg < 10**(SNRthresh/10))[0] |
|
|
677 | 677 | |
|
|
678 | 678 | for i in range(nplotsw): |
|
|
679 | 679 | z[i,ind] = numpy.nan |
|
|
680 | 680 | |
|
|
681 | 681 | thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.ltctime) |
|
|
682 | 682 | #thisDatetime = datetime.datetime.now() |
|
|
683 | 683 | title = wintitle + "Wind" |
|
|
684 | 684 | xlabel = "" |
|
|
685 | 685 | ylabel = "Height (km)" |
|
|
686 | 686 | update_figfile = False |
|
|
687 | 687 | |
|
|
688 | 688 | if not self.isConfig: |
|
|
689 | 689 | |
|
|
690 | 690 | self.setup(id=id, |
|
|
691 | 691 | nplots=nplots, |
|
|
692 | 692 | wintitle=wintitle, |
|
|
693 | 693 | showprofile=showprofile, |
|
|
694 | 694 | show=show) |
|
|
695 | 695 | |
|
|
696 | 696 | if timerange is not None: |
|
|
697 | 697 | self.timerange = timerange |
|
|
698 | 698 | |
|
|
699 | 699 | self.xmin, self.xmax = self.getTimeLim(x, xmin, xmax, timerange) |
|
|
700 | 700 | |
|
|
701 | 701 | if ymin == None: ymin = numpy.nanmin(y) |
|
|
702 | 702 | if ymax == None: ymax = numpy.nanmax(y) |
|
|
703 | 703 | |
|
|
704 | 704 | if zmax == None: zmax = numpy.nanmax(abs(z[list(range(2)),:])) |
|
|
705 | 705 | #if numpy.isnan(zmax): zmax = 50 |
|
|
706 | 706 | if zmin == None: zmin = -zmax |
|
|
707 | 707 | |
|
|
708 | 708 | if nplotsw == 3: |
|
|
709 | 709 | if zmax_ver == None: zmax_ver = numpy.nanmax(abs(z[2,:])) |
|
|
710 | 710 | if zmin_ver == None: zmin_ver = -zmax_ver |
|
|
711 | 711 | |
|
|
712 | 712 | if dataOut.data_SNR is not None: |
|
|
713 | 713 | if SNRmin == None: SNRmin = numpy.nanmin(SNRavgdB) |
|
|
714 | 714 | if SNRmax == None: SNRmax = numpy.nanmax(SNRavgdB) |
|
|
715 | 715 | |
|
|
716 | 716 | |
|
|
717 | 717 | self.FTP_WEI = ftp_wei |
|
|
718 | 718 | self.EXP_CODE = exp_code |
|
|
719 | 719 | self.SUB_EXP_CODE = sub_exp_code |
|
|
720 | 720 | self.PLOT_POS = plot_pos |
|
|
721 | 721 | |
|
|
722 | 722 | self.name = thisDatetime.strftime("%Y%m%d_%H%M%S") |
|
|
723 | 723 | self.isConfig = True |
|
|
724 | 724 | self.figfile = figfile |
|
|
725 | 725 | update_figfile = True |
|
|
726 | 726 | |
|
|
727 | 727 | self.setWinTitle(title) |
|
|
728 | 728 | |
|
|
729 | 729 | if ((self.xmax - x[1]) < (x[1]-x[0])): |
|
|
730 | 730 | x[1] = self.xmax |
|
|
731 | 731 | |
|
|
732 | 732 | strWind = ['Zonal', 'Meridional', 'Vertical'] |
|
|
733 | 733 | strCb = ['Velocity (m/s)','Velocity (m/s)','Velocity (cm/s)'] |
|
|
734 | 734 | zmaxVector = [zmax, zmax, zmax_ver] |
|
|
735 | 735 | zminVector = [zmin, zmin, zmin_ver] |
|
|
736 | 736 | windFactor = [1,1,100] |
|
|
737 | 737 | |
|
|
738 | 738 | for i in range(nplotsw): |
|
|
739 | 739 | |
|
|
740 | 740 | title = "%s Wind: %s" %(strWind[i], thisDatetime.strftime("%Y/%m/%d %H:%M:%S")) |
|
|
741 | 741 | axes = self.axesList[i*self.__nsubplots] |
|
|
742 | 742 | |
|
|
743 | 743 | z1 = z[i,:].reshape((1,-1))*windFactor[i] |
|
|
744 | 744 | #z1=numpy.ma.masked_where(z1==0.,z1) |
|
|
745 | 745 | |
|
|
746 | 746 | axes.pcolorbuffer(x, y, z1, |
|
|
747 | 747 | xmin=self.xmin, xmax=self.xmax, ymin=ymin, ymax=ymax, zmin=zminVector[i], zmax=zmaxVector[i], |
|
|
748 | 748 | xlabel=xlabel, ylabel=ylabel, title=title, rti=True, XAxisAsTime=True, |
|
|
749 | 749 | ticksize=9, cblabel=strCb[i], cbsize="1%", colormap="seismic" ) |
|
|
750 | 750 | |
|
|
751 | 751 | if dataOut.data_SNR is not None: |
|
|
752 | 752 | i += 1 |
|
|
753 | 753 | title = "Signal Noise Ratio (SNR): %s" %(thisDatetime.strftime("%Y/%m/%d %H:%M:%S")) |
|
|
754 | 754 | axes = self.axesList[i*self.__nsubplots] |
|
|
755 | 755 | SNRavgdB = SNRavgdB.reshape((1,-1)) |
|
|
756 | 756 | axes.pcolorbuffer(x, y, SNRavgdB, |
|
|
757 | 757 | xmin=self.xmin, xmax=self.xmax, ymin=ymin, ymax=ymax, zmin=SNRmin, zmax=SNRmax, |
|
|
758 | 758 | xlabel=xlabel, ylabel=ylabel, title=title, rti=True, XAxisAsTime=True, |
|
|
759 | 759 | ticksize=9, cblabel='', cbsize="1%", colormap="jet") |
|
|
760 | 760 | |
|
|
761 | 761 | self.draw() |
|
|
762 | 762 | |
|
|
763 | 763 | self.save(figpath=figpath, |
|
|
764 | 764 | figfile=figfile, |
|
|
765 | 765 | save=save, |
|
|
766 | 766 | ftp=ftp, |
|
|
767 | 767 | wr_period=wr_period, |
|
|
768 | 768 | thisDatetime=thisDatetime, |
|
|
769 | 769 | update_figfile=update_figfile) |
|
|
770 | 770 | |
|
|
771 | 771 | if dataOut.ltctime + dataOut.paramInterval >= self.xmax: |
|
|
772 | 772 | self.counter_imagwr = wr_period |
|
|
773 | 773 | self.isConfig = False |
|
|
774 | 774 | update_figfile = True |
|
|
775 | 775 | |
|
|
776 | 776 | @MPDecorator |
|
|
777 | class ParametersPlot(Figure): | |
|
|
777 | class ParametersPlot_(Figure): | |
|
|
778 | 778 | |
|
|
779 | 779 | __isConfig = None |
|
|
780 | 780 | __nsubplots = None |
|
|
781 | 781 | |
|
|
782 | 782 | WIDTHPROF = None |
|
|
783 | 783 | HEIGHTPROF = None |
|
|
784 | 784 | PREFIX = 'param' |
|
|
785 | 785 | |
|
|
786 | 786 | nplots = None |
|
|
787 | 787 | nchan = None |
|
|
788 | 788 | |
|
|
789 | 789 | def __init__(self):#, **kwargs): |
|
|
790 | 790 | Figure.__init__(self)#, **kwargs) |
|
|
791 | 791 | self.timerange = None |
|
|
792 | 792 | self.isConfig = False |
|
|
793 | 793 | self.__nsubplots = 1 |
|
|
794 | 794 | |
|
|
795 | 795 | self.WIDTH = 800 |
|
|
796 | 796 | self.HEIGHT = 180 |
|
|
797 | 797 | self.WIDTHPROF = 120 |
|
|
798 | 798 | self.HEIGHTPROF = 0 |
|
|
799 | 799 | self.counter_imagwr = 0 |
|
|
800 | 800 | |
|
|
801 | 801 | self.PLOT_CODE = RTI_CODE |
|
|
802 | 802 | |
|
|
803 | 803 | self.FTP_WEI = None |
|
|
804 | 804 | self.EXP_CODE = None |
|
|
805 | 805 | self.SUB_EXP_CODE = None |
|
|
806 | 806 | self.PLOT_POS = None |
|
|
807 | 807 | self.tmin = None |
|
|
808 | 808 | self.tmax = None |
|
|
809 | 809 | |
|
|
810 | 810 | self.xmin = None |
|
|
811 | 811 | self.xmax = None |
|
|
812 | 812 | |
|
|
813 | 813 | self.figfile = None |
|
|
814 | 814 | |
|
|
815 | 815 | def getSubplots(self): |
|
|
816 | 816 | |
|
|
817 | 817 | ncol = 1 |
|
|
818 | 818 | nrow = self.nplots |
|
|
819 | 819 | |
|
|
820 | 820 | return nrow, ncol |
|
|
821 | 821 | |
|
|
822 | 822 | def setup(self, id, nplots, wintitle, show=True): |
|
|
823 | 823 | |
|
|
824 | 824 | self.nplots = nplots |
|
|
825 | 825 | |
|
|
826 | 826 | ncolspan = 1 |
|
|
827 | 827 | colspan = 1 |
|
|
828 | 828 | |
|
|
829 | 829 | self.createFigure(id = id, |
|
|
830 | 830 | wintitle = wintitle, |
|
|
831 | 831 | widthplot = self.WIDTH + self.WIDTHPROF, |
|
|
832 | 832 | heightplot = self.HEIGHT + self.HEIGHTPROF, |
|
|
833 | 833 | show=show) |
|
|
834 | 834 | |
|
|
835 | 835 | nrow, ncol = self.getSubplots() |
|
|
836 | 836 | |
|
|
837 | 837 | counter = 0 |
|
|
838 | 838 | for y in range(nrow): |
|
|
839 | 839 | for x in range(ncol): |
|
|
840 | 840 | |
|
|
841 | 841 | if counter >= self.nplots: |
|
|
842 | 842 | break |
|
|
843 | 843 | |
|
|
844 | 844 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan, colspan, 1) |
|
|
845 | 845 | |
|
|
846 | 846 | counter += 1 |
|
|
847 | 847 | |
|
|
848 | 848 | def run(self, dataOut, id, wintitle="", channelList=None, paramIndex = 0, colormap="jet", |
|
|
849 | 849 | xmin=None, xmax=None, ymin=None, ymax=None, zmin=None, zmax=None, timerange=None, |
|
|
850 | 850 | showSNR=False, SNRthresh = -numpy.inf, SNRmin=None, SNRmax=None, |
|
|
851 | 851 | save=False, figpath='./', lastone=0,figfile=None, ftp=False, wr_period=1, show=True, |
|
|
852 | 852 | server=None, folder=None, username=None, password=None, |
|
|
853 | 853 | ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0, HEIGHT=None): |
|
|
854 | 854 | """ |
|
|
855 | 855 | |
|
|
856 | 856 | Input: |
|
|
857 | 857 | dataOut : |
|
|
858 | 858 | id : |
|
|
859 | 859 | wintitle : |
|
|
860 | 860 | channelList : |
|
|
861 | 861 | showProfile : |
|
|
862 | 862 | xmin : None, |
|
|
863 | 863 | xmax : None, |
|
|
864 | 864 | ymin : None, |
|
|
865 | 865 | ymax : None, |
|
|
866 | 866 | zmin : None, |
|
|
867 | 867 | zmax : None |
|
|
868 | 868 | """ |
|
|
869 | 869 | if dataOut.flagNoData: |
|
|
870 | 870 | return dataOut |
|
|
871 | 871 | |
|
|
872 | 872 | |
|
|
873 | 873 | if HEIGHT is not None: |
|
|
874 | 874 | self.HEIGHT = HEIGHT |
|
|
875 | 875 | |
|
|
876 | 876 | |
|
|
877 | 877 | if not isTimeInHourRange(dataOut.datatime, xmin, xmax): |
|
|
878 | 878 | return |
|
|
879 | 879 | |
|
|
880 | 880 | if channelList == None: |
|
|
881 | 881 | channelIndexList = list(range(dataOut.data_param.shape[0])) |
|
|
882 | 882 | else: |
|
|
883 | 883 | channelIndexList = [] |
|
|
884 | 884 | for channel in channelList: |
|
|
885 | 885 | if channel not in dataOut.channelList: |
|
|
886 | 886 | raise ValueError("Channel %d is not in dataOut.channelList") |
|
|
887 | 887 | channelIndexList.append(dataOut.channelList.index(channel)) |
|
|
888 | 888 | |
|
|
889 | 889 | x = dataOut.getTimeRange1(dataOut.paramInterval) |
|
|
890 | 890 | y = dataOut.getHeiRange() |
|
|
891 | 891 | |
|
|
892 | 892 | if dataOut.data_param.ndim == 3: |
|
|
893 | 893 | z = dataOut.data_param[channelIndexList,paramIndex,:] |
|
|
894 | 894 | else: |
|
|
895 | 895 | z = dataOut.data_param[channelIndexList,:] |
|
|
896 | 896 | |
|
|
897 | 897 | if showSNR: |
|
|
898 | 898 | #SNR data |
|
|
899 | 899 | SNRarray = dataOut.data_SNR[channelIndexList,:] |
|
|
900 | 900 | SNRdB = 10*numpy.log10(SNRarray) |
|
|
901 | 901 | ind = numpy.where(SNRdB < SNRthresh) |
|
|
902 | 902 | z[ind] = numpy.nan |
|
|
903 | 903 | |
|
|
904 | 904 | thisDatetime = dataOut.datatime |
|
|
905 | 905 | # thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.getTimeRange()[0]) |
|
|
906 | 906 | title = wintitle + " Parameters Plot" #: %s" %(thisDatetime.strftime("%d-%b-%Y")) |
|
|
907 | 907 | xlabel = "" |
|
|
908 | 908 | ylabel = "Range (Km)" |
|
|
909 | 909 | |
|
|
910 | 910 | update_figfile = False |
|
|
911 | 911 | |
|
|
912 | 912 | if not self.isConfig: |
|
|
913 | 913 | |
|
|
914 | 914 | nchan = len(channelIndexList) |
|
|
915 | 915 | self.nchan = nchan |
|
|
916 | 916 | self.plotFact = 1 |
|
|
917 | 917 | nplots = nchan |
|
|
918 | 918 | |
|
|
919 | 919 | if showSNR: |
|
|
920 | 920 | nplots = nchan*2 |
|
|
921 | 921 | self.plotFact = 2 |
|
|
922 | 922 | if SNRmin == None: SNRmin = numpy.nanmin(SNRdB) |
|
|
923 | 923 | if SNRmax == None: SNRmax = numpy.nanmax(SNRdB) |
|
|
924 | 924 | |
|
|
925 | 925 | self.setup(id=id, |
|
|
926 | 926 | nplots=nplots, |
|
|
927 | 927 | wintitle=wintitle, |
|
|
928 | 928 | show=show) |
|
|
929 | 929 | |
|
|
930 | 930 | if timerange != None: |
|
|
931 | 931 | self.timerange = timerange |
|
|
932 | 932 | |
|
|
933 | 933 | self.xmin, self.xmax = self.getTimeLim(x, xmin, xmax, timerange) |
|
|
934 | 934 | |
|
|
935 | 935 | if ymin == None: ymin = numpy.nanmin(y) |
|
|
936 | 936 | if ymax == None: ymax = numpy.nanmax(y) |
|
|
937 | 937 | if zmin == None: zmin = numpy.nanmin(z) |
|
|
938 | 938 | if zmax == None: zmax = numpy.nanmax(z) |
|
|
939 | 939 | |
|
|
940 | 940 | self.FTP_WEI = ftp_wei |
|
|
941 | 941 | self.EXP_CODE = exp_code |
|
|
942 | 942 | self.SUB_EXP_CODE = sub_exp_code |
|
|
943 | 943 | self.PLOT_POS = plot_pos |
|
|
944 | 944 | |
|
|
945 | 945 | self.name = thisDatetime.strftime("%Y%m%d_%H%M%S") |
|
|
946 | 946 | self.isConfig = True |
|
|
947 | 947 | self.figfile = figfile |
|
|
948 | 948 | update_figfile = True |
|
|
949 | 949 | |
|
|
950 | 950 | self.setWinTitle(title) |
|
|
951 | 951 | |
|
|
952 | 952 | for i in range(self.nchan): |
|
|
953 | 953 | index = channelIndexList[i] |
|
|
954 | 954 | title = "Channel %d: %s" %(dataOut.channelList[index], thisDatetime.strftime("%Y/%m/%d %H:%M:%S")) |
|
|
955 | 955 | axes = self.axesList[i*self.plotFact] |
|
|
956 | 956 | z1 = z[i,:].reshape((1,-1)) |
|
|
957 | 957 | axes.pcolorbuffer(x, y, z1, |
|
|
958 | 958 | xmin=self.xmin, xmax=self.xmax, ymin=ymin, ymax=ymax, zmin=zmin, zmax=zmax, |
|
|
959 | 959 | xlabel=xlabel, ylabel=ylabel, title=title, rti=True, XAxisAsTime=True, |
|
|
960 | 960 | ticksize=9, cblabel='', cbsize="1%",colormap=colormap) |
|
|
961 | 961 | |
|
|
962 | 962 | if showSNR: |
|
|
963 | 963 | title = "Channel %d SNR: %s" %(dataOut.channelList[index], thisDatetime.strftime("%Y/%m/%d %H:%M:%S")) |
|
|
964 | 964 | axes = self.axesList[i*self.plotFact + 1] |
|
|
965 | 965 | SNRdB1 = SNRdB[i,:].reshape((1,-1)) |
|
|
966 | 966 | axes.pcolorbuffer(x, y, SNRdB1, |
|
|
967 | 967 | xmin=self.xmin, xmax=self.xmax, ymin=ymin, ymax=ymax, zmin=SNRmin, zmax=SNRmax, |
|
|
968 | 968 | xlabel=xlabel, ylabel=ylabel, title=title, rti=True, XAxisAsTime=True, |
|
|
969 | 969 | ticksize=9, cblabel='', cbsize="1%",colormap='jet') |
|
|
970 | 970 | |
|
|
971 | 971 | |
|
|
972 | 972 | self.draw() |
|
|
973 | 973 | |
|
|
974 | 974 | if dataOut.ltctime >= self.xmax: |
|
|
975 | 975 | self.counter_imagwr = wr_period |
|
|
976 | 976 | self.isConfig = False |
|
|
977 | 977 | update_figfile = True |
|
|
978 | 978 | |
|
|
979 | 979 | self.save(figpath=figpath, |
|
|
980 | 980 | figfile=figfile, |
|
|
981 | 981 | save=save, |
|
|
982 | 982 | ftp=ftp, |
|
|
983 | 983 | wr_period=wr_period, |
|
|
984 | 984 | thisDatetime=thisDatetime, |
|
|
985 | 985 | update_figfile=update_figfile) |
|
|
986 | 986 | |
|
|
987 | 987 | return dataOut |
|
|
988 | 988 | @MPDecorator |
|
|
989 | class Parameters1Plot(Figure): | |
|
|
989 | class Parameters1Plot_(Figure): | |
|
|
990 | 990 | |
|
|
991 | 991 | __isConfig = None |
|
|
992 | 992 | __nsubplots = None |
|
|
993 | 993 | |
|
|
994 | 994 | WIDTHPROF = None |
|
|
995 | 995 | HEIGHTPROF = None |
|
|
996 | 996 | PREFIX = 'prm' |
|
|
997 | 997 | |
|
|
998 | 998 | def __init__(self): |
|
|
999 | 999 | Figure.__init__(self) |
|
|
1000 | 1000 | self.timerange = 2*60*60 |
|
|
1001 | 1001 | self.isConfig = False |
|
|
1002 | 1002 | self.__nsubplots = 1 |
|
|
1003 | 1003 | |
|
|
1004 | 1004 | self.WIDTH = 800 |
|
|
1005 | 1005 | self.HEIGHT = 180 |
|
|
1006 | 1006 | self.WIDTHPROF = 120 |
|
|
1007 | 1007 | self.HEIGHTPROF = 0 |
|
|
1008 | 1008 | self.counter_imagwr = 0 |
|
|
1009 | 1009 | |
|
|
1010 | 1010 | self.PLOT_CODE = PARMS_CODE |
|
|
1011 | 1011 | |
|
|
1012 | 1012 | self.FTP_WEI = None |
|
|
1013 | 1013 | self.EXP_CODE = None |
|
|
1014 | 1014 | self.SUB_EXP_CODE = None |
|
|
1015 | 1015 | self.PLOT_POS = None |
|
|
1016 | 1016 | self.tmin = None |
|
|
1017 | 1017 | self.tmax = None |
|
|
1018 | 1018 | |
|
|
1019 | 1019 | self.xmin = None |
|
|
1020 | 1020 | self.xmax = None |
|
|
1021 | 1021 | |
|
|
1022 | 1022 | self.figfile = None |
|
|
1023 | 1023 | |
|
|
1024 | 1024 | def getSubplots(self): |
|
|
1025 | 1025 | |
|
|
1026 | 1026 | ncol = 1 |
|
|
1027 | 1027 | nrow = self.nplots |
|
|
1028 | 1028 | |
|
|
1029 | 1029 | return nrow, ncol |
|
|
1030 | 1030 | |
|
|
1031 | 1031 | def setup(self, id, nplots, wintitle, showprofile=True, show=True): |
|
|
1032 | 1032 | |
|
|
1033 | 1033 | self.__showprofile = showprofile |
|
|
1034 | 1034 | self.nplots = nplots |
|
|
1035 | 1035 | |
|
|
1036 | 1036 | ncolspan = 1 |
|
|
1037 | 1037 | colspan = 1 |
|
|
1038 | 1038 | |
|
|
1039 | 1039 | self.createFigure(id = id, |
|
|
1040 | 1040 | wintitle = wintitle, |
|
|
1041 | 1041 | widthplot = self.WIDTH + self.WIDTHPROF, |
|
|
1042 | 1042 | heightplot = self.HEIGHT + self.HEIGHTPROF, |
|
|
1043 | 1043 | show=show) |
|
|
1044 | 1044 | |
|
|
1045 | 1045 | nrow, ncol = self.getSubplots() |
|
|
1046 | 1046 | |
|
|
1047 | 1047 | counter = 0 |
|
|
1048 | 1048 | for y in range(nrow): |
|
|
1049 | 1049 | for x in range(ncol): |
|
|
1050 | 1050 | |
|
|
1051 | 1051 | if counter >= self.nplots: |
|
|
1052 | 1052 | break |
|
|
1053 | 1053 | |
|
|
1054 | 1054 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan, colspan, 1) |
|
|
1055 | 1055 | |
|
|
1056 | 1056 | if showprofile: |
|
|
1057 | 1057 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan+colspan, 1, 1) |
|
|
1058 | 1058 | |
|
|
1059 | 1059 | counter += 1 |
|
|
1060 | 1060 | |
|
|
1061 | 1061 | def run(self, dataOut, id, wintitle="", channelList=None, showprofile=False, |
|
|
1062 | 1062 | xmin=None, xmax=None, ymin=None, ymax=None, zmin=None, zmax=None,timerange=None, |
|
|
1063 | 1063 | parameterIndex = None, onlyPositive = False, |
|
|
1064 | 1064 | SNRthresh = -numpy.inf, SNR = True, SNRmin = None, SNRmax = None, onlySNR = False, |
|
|
1065 | 1065 | DOP = True, |
|
|
1066 | 1066 | zlabel = "", parameterName = "", parameterObject = "data_param", |
|
|
1067 | 1067 | save=False, figpath='./', lastone=0,figfile=None, ftp=False, wr_period=1, show=True, |
|
|
1068 | 1068 | server=None, folder=None, username=None, password=None, |
|
|
1069 | 1069 | ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0): |
|
|
1070 | 1070 | #print inspect.getargspec(self.run).args |
|
|
1071 | 1071 | """ |
|
|
1072 | 1072 | |
|
|
1073 | 1073 | Input: |
|
|
1074 | 1074 | dataOut : |
|
|
1075 | 1075 | id : |
|
|
1076 | 1076 | wintitle : |
|
|
1077 | 1077 | channelList : |
|
|
1078 | 1078 | showProfile : |
|
|
1079 | 1079 | xmin : None, |
|
|
1080 | 1080 | xmax : None, |
|
|
1081 | 1081 | ymin : None, |
|
|
1082 | 1082 | ymax : None, |
|
|
1083 | 1083 | zmin : None, |
|
|
1084 | 1084 | zmax : None |
|
|
1085 | 1085 | """ |
|
|
1086 | 1086 | if dataOut.flagNoData: |
|
|
1087 | 1087 | return dataOut |
|
|
1088 | 1088 | |
|
|
1089 | 1089 | data_param = getattr(dataOut, parameterObject) |
|
|
1090 | 1090 | |
|
|
1091 | 1091 | if channelList == None: |
|
|
1092 | 1092 | channelIndexList = numpy.arange(data_param.shape[0]) |
|
|
1093 | 1093 | else: |
|
|
1094 | 1094 | channelIndexList = numpy.array(channelList) |
|
|
1095 | 1095 | |
|
|
1096 | 1096 | nchan = len(channelIndexList) #Number of channels being plotted |
|
|
1097 | 1097 | |
|
|
1098 | 1098 | if nchan < 1: |
|
|
1099 | 1099 | return |
|
|
1100 | 1100 | |
|
|
1101 | 1101 | nGraphsByChannel = 0 |
|
|
1102 | 1102 | |
|
|
1103 | 1103 | if SNR: |
|
|
1104 | 1104 | nGraphsByChannel += 1 |
|
|
1105 | 1105 | if DOP: |
|
|
1106 | 1106 | nGraphsByChannel += 1 |
|
|
1107 | 1107 | |
|
|
1108 | 1108 | if nGraphsByChannel < 1: |
|
|
1109 | 1109 | return |
|
|
1110 | 1110 | |
|
|
1111 | 1111 | nplots = nGraphsByChannel*nchan |
|
|
1112 | 1112 | |
|
|
1113 | 1113 | if timerange is not None: |
|
|
1114 | 1114 | self.timerange = timerange |
|
|
1115 | 1115 | |
|
|
1116 | 1116 | #tmin = None |
|
|
1117 | 1117 | #tmax = None |
|
|
1118 | 1118 | if parameterIndex == None: |
|
|
1119 | 1119 | parameterIndex = 1 |
|
|
1120 | 1120 | |
|
|
1121 | 1121 | x = dataOut.getTimeRange1(dataOut.paramInterval) |
|
|
1122 | 1122 | y = dataOut.heightList |
|
|
1123 | 1123 | |
|
|
1124 | 1124 | if dataOut.data_param.ndim == 3: |
|
|
1125 | 1125 | z = dataOut.data_param[channelIndexList,parameterIndex,:] |
|
|
1126 | 1126 | else: |
|
|
1127 | 1127 | z = dataOut.data_param[channelIndexList,:] |
|
|
1128 | 1128 | |
|
|
1129 | 1129 | if dataOut.data_SNR is not None: |
|
|
1130 | 1130 | if dataOut.data_SNR.ndim == 2: |
|
|
1131 | 1131 | SNRavg = numpy.average(dataOut.data_SNR, axis=0) |
|
|
1132 | 1132 | else: |
|
|
1133 | 1133 | SNRavg = dataOut.data_SNR |
|
|
1134 | 1134 | SNRdB = 10*numpy.log10(SNRavg) |
|
|
1135 | 1135 | |
|
|
1136 | 1136 | thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.getTimeRange()[0]) |
|
|
1137 | 1137 | title = wintitle + " Parameters Plot" #: %s" %(thisDatetime.strftime("%d-%b-%Y")) |
|
|
1138 | 1138 | xlabel = "" |
|
|
1139 | 1139 | ylabel = "Range (Km)" |
|
|
1140 | 1140 | |
|
|
1141 | 1141 | if onlyPositive: |
|
|
1142 | 1142 | colormap = "jet" |
|
|
1143 | 1143 | zmin = 0 |
|
|
1144 | 1144 | else: colormap = "RdBu_r" |
|
|
1145 | 1145 | |
|
|
1146 | 1146 | if not self.isConfig: |
|
|
1147 | 1147 | |
|
|
1148 | 1148 | self.setup(id=id, |
|
|
1149 | 1149 | nplots=nplots, |
|
|
1150 | 1150 | wintitle=wintitle, |
|
|
1151 | 1151 | showprofile=showprofile, |
|
|
1152 | 1152 | show=show) |
|
|
1153 | 1153 | |
|
|
1154 | 1154 | self.xmin, self.xmax = self.getTimeLim(x, xmin, xmax, timerange) |
|
|
1155 | 1155 | |
|
|
1156 | 1156 | if ymin == None: ymin = numpy.nanmin(y) |
|
|
1157 | 1157 | if ymax == None: ymax = numpy.nanmax(y) |
|
|
1158 | 1158 | if zmin == None: zmin = numpy.nanmin(z) |
|
|
1159 | 1159 | if zmax == None: zmax = numpy.nanmax(z) |
|
|
1160 | 1160 | |
|
|
1161 | 1161 | if SNR: |
|
|
1162 | 1162 | if SNRmin == None: SNRmin = numpy.nanmin(SNRdB) |
|
|
1163 | 1163 | if SNRmax == None: SNRmax = numpy.nanmax(SNRdB) |
|
|
1164 | 1164 | |
|
|
1165 | 1165 | self.FTP_WEI = ftp_wei |
|
|
1166 | 1166 | self.EXP_CODE = exp_code |
|
|
1167 | 1167 | self.SUB_EXP_CODE = sub_exp_code |
|
|
1168 | 1168 | self.PLOT_POS = plot_pos |
|
|
1169 | 1169 | |
|
|
1170 | 1170 | self.name = thisDatetime.strftime("%Y%m%d_%H%M%S") |
|
|
1171 | 1171 | self.isConfig = True |
|
|
1172 | 1172 | self.figfile = figfile |
|
|
1173 | 1173 | |
|
|
1174 | 1174 | self.setWinTitle(title) |
|
|
1175 | 1175 | |
|
|
1176 | 1176 | if ((self.xmax - x[1]) < (x[1]-x[0])): |
|
|
1177 | 1177 | x[1] = self.xmax |
|
|
1178 | 1178 | |
|
|
1179 | 1179 | for i in range(nchan): |
|
|
1180 | 1180 | |
|
|
1181 | 1181 | if (SNR and not onlySNR): j = 2*i |
|
|
1182 | 1182 | else: j = i |
|
|
1183 | 1183 | |
|
|
1184 | 1184 | j = nGraphsByChannel*i |
|
|
1185 | 1185 | |
|
|
1186 | 1186 | if ((dataOut.azimuth!=None) and (dataOut.zenith!=None)): |
|
|
1187 | 1187 | title = title + '_' + 'azimuth,zenith=%2.2f,%2.2f'%(dataOut.azimuth, dataOut.zenith) |
|
|
1188 | 1188 | |
|
|
1189 | 1189 | if not onlySNR: |
|
|
1190 | 1190 | axes = self.axesList[j*self.__nsubplots] |
|
|
1191 | 1191 | z1 = z[i,:].reshape((1,-1)) |
|
|
1192 | 1192 | axes.pcolorbuffer(x, y, z1, |
|
|
1193 | 1193 | xmin=self.xmin, xmax=self.xmax, ymin=ymin, ymax=ymax, zmin=zmin, zmax=zmax, |
|
|
1194 | 1194 | xlabel=xlabel, ylabel=ylabel, title=title, rti=True, XAxisAsTime=True,colormap=colormap, |
|
|
1195 | 1195 | ticksize=9, cblabel=zlabel, cbsize="1%") |
|
|
1196 | 1196 | |
|
|
1197 | 1197 | if DOP: |
|
|
1198 | 1198 | title = "%s Channel %d: %s" %(parameterName, channelIndexList[i], thisDatetime.strftime("%Y/%m/%d %H:%M:%S")) |
|
|
1199 | 1199 | |
|
|
1200 | 1200 | if ((dataOut.azimuth!=None) and (dataOut.zenith!=None)): |
|
|
1201 | 1201 | title = title + '_' + 'azimuth,zenith=%2.2f,%2.2f'%(dataOut.azimuth, dataOut.zenith) |
|
|
1202 | 1202 | axes = self.axesList[j] |
|
|
1203 | 1203 | z1 = z[i,:].reshape((1,-1)) |
|
|
1204 | 1204 | axes.pcolorbuffer(x, y, z1, |
|
|
1205 | 1205 | xmin=self.xmin, xmax=self.xmax, ymin=ymin, ymax=ymax, zmin=zmin, zmax=zmax, |
|
|
1206 | 1206 | xlabel=xlabel, ylabel=ylabel, title=title, rti=True, XAxisAsTime=True,colormap=colormap, |
|
|
1207 | 1207 | ticksize=9, cblabel=zlabel, cbsize="1%") |
|
|
1208 | 1208 | |
|
|
1209 | 1209 | if SNR: |
|
|
1210 | 1210 | title = "Channel %d Signal Noise Ratio (SNR): %s" %(channelIndexList[i], thisDatetime.strftime("%Y/%m/%d %H:%M:%S")) |
|
|
1211 | 1211 | axes = self.axesList[(j)*self.__nsubplots] |
|
|
1212 | 1212 | if not onlySNR: |
|
|
1213 | 1213 | axes = self.axesList[(j + 1)*self.__nsubplots] |
|
|
1214 | 1214 | |
|
|
1215 | 1215 | axes = self.axesList[(j + nGraphsByChannel-1)] |
|
|
1216 | 1216 | z1 = SNRdB.reshape((1,-1)) |
|
|
1217 | 1217 | axes.pcolorbuffer(x, y, z1, |
|
|
1218 | 1218 | xmin=self.xmin, xmax=self.xmax, ymin=ymin, ymax=ymax, zmin=SNRmin, zmax=SNRmax, |
|
|
1219 | 1219 | xlabel=xlabel, ylabel=ylabel, title=title, rti=True, XAxisAsTime=True,colormap="jet", |
|
|
1220 | 1220 | ticksize=9, cblabel=zlabel, cbsize="1%") |
|
|
1221 | 1221 | |
|
|
1222 | 1222 | |
|
|
1223 | 1223 | |
|
|
1224 | 1224 | self.draw() |
|
|
1225 | 1225 | |
|
|
1226 | 1226 | if x[1] >= self.axesList[0].xmax: |
|
|
1227 | 1227 | self.counter_imagwr = wr_period |
|
|
1228 | 1228 | self.isConfig = False |
|
|
1229 | 1229 | self.figfile = None |
|
|
1230 | 1230 | |
|
|
1231 | 1231 | self.save(figpath=figpath, |
|
|
1232 | 1232 | figfile=figfile, |
|
|
1233 | 1233 | save=save, |
|
|
1234 | 1234 | ftp=ftp, |
|
|
1235 | 1235 | wr_period=wr_period, |
|
|
1236 | 1236 | thisDatetime=thisDatetime, |
|
|
1237 | 1237 | update_figfile=False) |
|
|
1238 | 1238 | return dataOut |
|
|
1239 | 1239 | |
|
|
1240 | class SpectralFittingPlot(Figure): | |
|
|
1240 | class SpectralFittingPlot_(Figure): | |
|
|
1241 | 1241 | |
|
|
1242 | 1242 | __isConfig = None |
|
|
1243 | 1243 | __nsubplots = None |
|
|
1244 | 1244 | |
|
|
1245 | 1245 | WIDTHPROF = None |
|
|
1246 | 1246 | HEIGHTPROF = None |
|
|
1247 | 1247 | PREFIX = 'prm' |
|
|
1248 | 1248 | |
|
|
1249 | 1249 | |
|
|
1250 | 1250 | N = None |
|
|
1251 | 1251 | ippSeconds = None |
|
|
1252 | 1252 | |
|
|
1253 | 1253 | def __init__(self, **kwargs): |
|
|
1254 | 1254 | Figure.__init__(self, **kwargs) |
|
|
1255 | 1255 | self.isConfig = False |
|
|
1256 | 1256 | self.__nsubplots = 1 |
|
|
1257 | 1257 | |
|
|
1258 | 1258 | self.PLOT_CODE = SPECFIT_CODE |
|
|
1259 | 1259 | |
|
|
1260 | 1260 | self.WIDTH = 450 |
|
|
1261 | 1261 | self.HEIGHT = 250 |
|
|
1262 | 1262 | self.WIDTHPROF = 0 |
|
|
1263 | 1263 | self.HEIGHTPROF = 0 |
|
|
1264 | 1264 | |
|
|
1265 | 1265 | def getSubplots(self): |
|
|
1266 | 1266 | |
|
|
1267 | 1267 | ncol = int(numpy.sqrt(self.nplots)+0.9) |
|
|
1268 | 1268 | nrow = int(self.nplots*1./ncol + 0.9) |
|
|
1269 | 1269 | |
|
|
1270 | 1270 | return nrow, ncol |
|
|
1271 | 1271 | |
|
|
1272 | 1272 | def setup(self, id, nplots, wintitle, showprofile=False, show=True): |
|
|
1273 | 1273 | |
|
|
1274 | 1274 | showprofile = False |
|
|
1275 | 1275 | self.__showprofile = showprofile |
|
|
1276 | 1276 | self.nplots = nplots |
|
|
1277 | 1277 | |
|
|
1278 | 1278 | ncolspan = 5 |
|
|
1279 | 1279 | colspan = 4 |
|
|
1280 | 1280 | if showprofile: |
|
|
1281 | 1281 | ncolspan = 5 |
|
|
1282 | 1282 | colspan = 4 |
|
|
1283 | 1283 | self.__nsubplots = 2 |
|
|
1284 | 1284 | |
|
|
1285 | 1285 | self.createFigure(id = id, |
|
|
1286 | 1286 | wintitle = wintitle, |
|
|
1287 | 1287 | widthplot = self.WIDTH + self.WIDTHPROF, |
|
|
1288 | 1288 | heightplot = self.HEIGHT + self.HEIGHTPROF, |
|
|
1289 | 1289 | show=show) |
|
|
1290 | 1290 | |
|
|
1291 | 1291 | nrow, ncol = self.getSubplots() |
|
|
1292 | 1292 | |
|
|
1293 | 1293 | counter = 0 |
|
|
1294 | 1294 | for y in range(nrow): |
|
|
1295 | 1295 | for x in range(ncol): |
|
|
1296 | 1296 | |
|
|
1297 | 1297 | if counter >= self.nplots: |
|
|
1298 | 1298 | break |
|
|
1299 | 1299 | |
|
|
1300 | 1300 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan, colspan, 1) |
|
|
1301 | 1301 | |
|
|
1302 | 1302 | if showprofile: |
|
|
1303 | 1303 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan+colspan, 1, 1) |
|
|
1304 | 1304 | |
|
|
1305 | 1305 | counter += 1 |
|
|
1306 | 1306 | |
|
|
1307 | 1307 | def run(self, dataOut, id, cutHeight=None, fit=False, wintitle="", channelList=None, showprofile=True, |
|
|
1308 | 1308 | xmin=None, xmax=None, ymin=None, ymax=None, |
|
|
1309 | 1309 | save=False, figpath='./', figfile=None, show=True): |
|
|
1310 | 1310 | |
|
|
1311 | 1311 | """ |
|
|
1312 | 1312 | |
|
|
1313 | 1313 | Input: |
|
|
1314 | 1314 | dataOut : |
|
|
1315 | 1315 | id : |
|
|
1316 | 1316 | wintitle : |
|
|
1317 | 1317 | channelList : |
|
|
1318 | 1318 | showProfile : |
|
|
1319 | 1319 | xmin : None, |
|
|
1320 | 1320 | xmax : None, |
|
|
1321 | 1321 | zmin : None, |
|
|
1322 | 1322 | zmax : None |
|
|
1323 | 1323 | """ |
|
|
1324 | 1324 | |
|
|
1325 | 1325 | if cutHeight==None: |
|
|
1326 | 1326 | h=270 |
|
|
1327 | 1327 | heightindex = numpy.abs(cutHeight - dataOut.heightList).argmin() |
|
|
1328 | 1328 | cutHeight = dataOut.heightList[heightindex] |
|
|
1329 | 1329 | |
|
|
1330 | 1330 | factor = dataOut.normFactor |
|
|
1331 | 1331 | x = dataOut.abscissaList[:-1] |
|
|
1332 | 1332 | #y = dataOut.getHeiRange() |
|
|
1333 | 1333 | |
|
|
1334 | 1334 | z = dataOut.data_pre[:,:,heightindex]/factor |
|
|
1335 | 1335 | z = numpy.where(numpy.isfinite(z), z, numpy.NAN) |
|
|
1336 | 1336 | avg = numpy.average(z, axis=1) |
|
|
1337 | 1337 | listChannels = z.shape[0] |
|
|
1338 | 1338 | |
|
|
1339 | 1339 | #Reconstruct Function |
|
|
1340 | 1340 | if fit==True: |
|
|
1341 | 1341 | groupArray = dataOut.groupList |
|
|
1342 | 1342 | listChannels = groupArray.reshape((groupArray.size)) |
|
|
1343 | 1343 | listChannels.sort() |
|
|
1344 | 1344 | spcFitLine = numpy.zeros(z.shape) |
|
|
1345 | 1345 | constants = dataOut.constants |
|
|
1346 | 1346 | |
|
|
1347 | 1347 | nGroups = groupArray.shape[0] |
|
|
1348 | 1348 | nChannels = groupArray.shape[1] |
|
|
1349 | 1349 | nProfiles = z.shape[1] |
|
|
1350 | 1350 | |
|
|
1351 | 1351 | for f in range(nGroups): |
|
|
1352 | 1352 | groupChann = groupArray[f,:] |
|
|
1353 | 1353 | p = dataOut.data_param[f,:,heightindex] |
|
|
1354 | 1354 | # p = numpy.array([ 89.343967,0.14036615,0.17086219,18.89835291,1.58388365,1.55099167]) |
|
|
1355 | 1355 | fitLineAux = dataOut.library.modelFunction(p, constants)*nProfiles |
|
|
1356 | 1356 | fitLineAux = fitLineAux.reshape((nChannels,nProfiles)) |
|
|
1357 | 1357 | spcFitLine[groupChann,:] = fitLineAux |
|
|
1358 | 1358 | # spcFitLine = spcFitLine/factor |
|
|
1359 | 1359 | |
|
|
1360 | 1360 | z = z[listChannels,:] |
|
|
1361 | 1361 | spcFitLine = spcFitLine[listChannels,:] |
|
|
1362 | 1362 | spcFitLinedB = 10*numpy.log10(spcFitLine) |
|
|
1363 | 1363 | |
|
|
1364 | 1364 | zdB = 10*numpy.log10(z) |
|
|
1365 | 1365 | #thisDatetime = dataOut.datatime |
|
|
1366 | 1366 | thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.getTimeRange()[0]) |
|
|
1367 | 1367 | title = wintitle + " Doppler Spectra: %s" %(thisDatetime.strftime("%d-%b-%Y %H:%M:%S")) |
|
|
1368 | 1368 | xlabel = "Velocity (m/s)" |
|
|
1369 | 1369 | ylabel = "Spectrum" |
|
|
1370 | 1370 | |
|
|
1371 | 1371 | if not self.isConfig: |
|
|
1372 | 1372 | |
|
|
1373 | 1373 | nplots = listChannels.size |
|
|
1374 | 1374 | |
|
|
1375 | 1375 | self.setup(id=id, |
|
|
1376 | 1376 | nplots=nplots, |
|
|
1377 | 1377 | wintitle=wintitle, |
|
|
1378 | 1378 | showprofile=showprofile, |
|
|
1379 | 1379 | show=show) |
|
|
1380 | 1380 | |
|
|
1381 | 1381 | if xmin == None: xmin = numpy.nanmin(x) |
|
|
1382 | 1382 | if xmax == None: xmax = numpy.nanmax(x) |
|
|
1383 | 1383 | if ymin == None: ymin = numpy.nanmin(zdB) |
|
|
1384 | 1384 | if ymax == None: ymax = numpy.nanmax(zdB)+2 |
|
|
1385 | 1385 | |
|
|
1386 | 1386 | self.isConfig = True |
|
|
1387 | 1387 | |
|
|
1388 | 1388 | self.setWinTitle(title) |
|
|
1389 | 1389 | for i in range(self.nplots): |
|
|
1390 | 1390 | # title = "Channel %d: %4.2fdB" %(dataOut.channelList[i]+1, noisedB[i]) |
|
|
1391 | 1391 | title = "Height %4.1f km\nChannel %d:" %(cutHeight, listChannels[i]) |
|
|
1392 | 1392 | axes = self.axesList[i*self.__nsubplots] |
|
|
1393 | 1393 | if fit == False: |
|
|
1394 | 1394 | axes.pline(x, zdB[i,:], |
|
|
1395 | 1395 | xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, |
|
|
1396 | 1396 | xlabel=xlabel, ylabel=ylabel, title=title |
|
|
1397 | 1397 | ) |
|
|
1398 | 1398 | if fit == True: |
|
|
1399 | 1399 | fitline=spcFitLinedB[i,:] |
|
|
1400 | 1400 | y=numpy.vstack([zdB[i,:],fitline] ) |
|
|
1401 | 1401 | legendlabels=['Data','Fitting'] |
|
|
1402 | 1402 | axes.pmultilineyaxis(x, y, |
|
|
1403 | 1403 | xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, |
|
|
1404 | 1404 | xlabel=xlabel, ylabel=ylabel, title=title, |
|
|
1405 | 1405 | legendlabels=legendlabels, marker=None, |
|
|
1406 | 1406 | linestyle='solid', grid='both') |
|
|
1407 | 1407 | |
|
|
1408 | 1408 | self.draw() |
|
|
1409 | 1409 | |
|
|
1410 | 1410 | self.save(figpath=figpath, |
|
|
1411 | 1411 | figfile=figfile, |
|
|
1412 | 1412 | save=save, |
|
|
1413 | 1413 | ftp=ftp, |
|
|
1414 | 1414 | wr_period=wr_period, |
|
|
1415 | 1415 | thisDatetime=thisDatetime) |
|
|
1416 | 1416 | |
|
|
1417 | 1417 | |
|
|
1418 | class EWDriftsPlot(Figure): | |
|
|
1418 | class EWDriftsPlot_(Figure): | |
|
|
1419 | 1419 | |
|
|
1420 | 1420 | __isConfig = None |
|
|
1421 | 1421 | __nsubplots = None |
|
|
1422 | 1422 | |
|
|
1423 | 1423 | WIDTHPROF = None |
|
|
1424 | 1424 | HEIGHTPROF = None |
|
|
1425 | 1425 | PREFIX = 'drift' |
|
|
1426 | 1426 | |
|
|
1427 | 1427 | def __init__(self, **kwargs): |
|
|
1428 | 1428 | Figure.__init__(self, **kwargs) |
|
|
1429 | 1429 | self.timerange = 2*60*60 |
|
|
1430 | 1430 | self.isConfig = False |
|
|
1431 | 1431 | self.__nsubplots = 1 |
|
|
1432 | 1432 | |
|
|
1433 | 1433 | self.WIDTH = 800 |
|
|
1434 | 1434 | self.HEIGHT = 150 |
|
|
1435 | 1435 | self.WIDTHPROF = 120 |
|
|
1436 | 1436 | self.HEIGHTPROF = 0 |
|
|
1437 | 1437 | self.counter_imagwr = 0 |
|
|
1438 | 1438 | |
|
|
1439 | 1439 | self.PLOT_CODE = EWDRIFT_CODE |
|
|
1440 | 1440 | |
|
|
1441 | 1441 | self.FTP_WEI = None |
|
|
1442 | 1442 | self.EXP_CODE = None |
|
|
1443 | 1443 | self.SUB_EXP_CODE = None |
|
|
1444 | 1444 | self.PLOT_POS = None |
|
|
1445 | 1445 | self.tmin = None |
|
|
1446 | 1446 | self.tmax = None |
|
|
1447 | 1447 | |
|
|
1448 | 1448 | self.xmin = None |
|
|
1449 | 1449 | self.xmax = None |
|
|
1450 | 1450 | |
|
|
1451 | 1451 | self.figfile = None |
|
|
1452 | 1452 | |
|
|
1453 | 1453 | def getSubplots(self): |
|
|
1454 | 1454 | |
|
|
1455 | 1455 | ncol = 1 |
|
|
1456 | 1456 | nrow = self.nplots |
|
|
1457 | 1457 | |
|
|
1458 | 1458 | return nrow, ncol |
|
|
1459 | 1459 | |
|
|
1460 | 1460 | def setup(self, id, nplots, wintitle, showprofile=True, show=True): |
|
|
1461 | 1461 | |
|
|
1462 | 1462 | self.__showprofile = showprofile |
|
|
1463 | 1463 | self.nplots = nplots |
|
|
1464 | 1464 | |
|
|
1465 | 1465 | ncolspan = 1 |
|
|
1466 | 1466 | colspan = 1 |
|
|
1467 | 1467 | |
|
|
1468 | 1468 | self.createFigure(id = id, |
|
|
1469 | 1469 | wintitle = wintitle, |
|
|
1470 | 1470 | widthplot = self.WIDTH + self.WIDTHPROF, |
|
|
1471 | 1471 | heightplot = self.HEIGHT + self.HEIGHTPROF, |
|
|
1472 | 1472 | show=show) |
|
|
1473 | 1473 | |
|
|
1474 | 1474 | nrow, ncol = self.getSubplots() |
|
|
1475 | 1475 | |
|
|
1476 | 1476 | counter = 0 |
|
|
1477 | 1477 | for y in range(nrow): |
|
|
1478 | 1478 | if counter >= self.nplots: |
|
|
1479 | 1479 | break |
|
|
1480 | 1480 | |
|
|
1481 | 1481 | self.addAxes(nrow, ncol*ncolspan, y, 0, colspan, 1) |
|
|
1482 | 1482 | counter += 1 |
|
|
1483 | 1483 | |
|
|
1484 | 1484 | def run(self, dataOut, id, wintitle="", channelList=None, |
|
|
1485 | 1485 | xmin=None, xmax=None, ymin=None, ymax=None, zmin=None, zmax=None, |
|
|
1486 | 1486 | zmaxVertical = None, zminVertical = None, zmaxZonal = None, zminZonal = None, |
|
|
1487 | 1487 | timerange=None, SNRthresh = -numpy.inf, SNRmin = None, SNRmax = None, SNR_1 = False, |
|
|
1488 | 1488 | save=False, figpath='./', lastone=0,figfile=None, ftp=False, wr_period=1, show=True, |
|
|
1489 | 1489 | server=None, folder=None, username=None, password=None, |
|
|
1490 | 1490 | ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0): |
|
|
1491 | 1491 | """ |
|
|
1492 | 1492 | |
|
|
1493 | 1493 | Input: |
|
|
1494 | 1494 | dataOut : |
|
|
1495 | 1495 | id : |
|
|
1496 | 1496 | wintitle : |
|
|
1497 | 1497 | channelList : |
|
|
1498 | 1498 | showProfile : |
|
|
1499 | 1499 | xmin : None, |
|
|
1500 | 1500 | xmax : None, |
|
|
1501 | 1501 | ymin : None, |
|
|
1502 | 1502 | ymax : None, |
|
|
1503 | 1503 | zmin : None, |
|
|
1504 | 1504 | zmax : None |
|
|
1505 | 1505 | """ |
|
|
1506 | 1506 | |
|
|
1507 | 1507 | if timerange is not None: |
|
|
1508 | 1508 | self.timerange = timerange |
|
|
1509 | 1509 | |
|
|
1510 | 1510 | tmin = None |
|
|
1511 | 1511 | tmax = None |
|
|
1512 | 1512 | |
|
|
1513 | 1513 | x = dataOut.getTimeRange1(dataOut.outputInterval) |
|
|
1514 | 1514 | # y = dataOut.heightList |
|
|
1515 | 1515 | y = dataOut.heightList |
|
|
1516 | 1516 | |
|
|
1517 | 1517 | z = dataOut.data_output |
|
|
1518 | 1518 | nplots = z.shape[0] #Number of wind dimensions estimated |
|
|
1519 | 1519 | nplotsw = nplots |
|
|
1520 | 1520 | |
|
|
1521 | 1521 | #If there is a SNR function defined |
|
|
1522 | 1522 | if dataOut.data_SNR is not None: |
|
|
1523 | 1523 | nplots += 1 |
|
|
1524 | 1524 | SNR = dataOut.data_SNR |
|
|
1525 | 1525 | |
|
|
1526 | 1526 | if SNR_1: |
|
|
1527 | 1527 | SNR += 1 |
|
|
1528 | 1528 | |
|
|
1529 | 1529 | SNRavg = numpy.average(SNR, axis=0) |
|
|
1530 | 1530 | |
|
|
1531 | 1531 | SNRdB = 10*numpy.log10(SNR) |
|
|
1532 | 1532 | SNRavgdB = 10*numpy.log10(SNRavg) |
|
|
1533 | 1533 | |
|
|
1534 | 1534 | ind = numpy.where(SNRavg < 10**(SNRthresh/10))[0] |
|
|
1535 | 1535 | |
|
|
1536 | 1536 | for i in range(nplotsw): |
|
|
1537 | 1537 | z[i,ind] = numpy.nan |
|
|
1538 | 1538 | |
|
|
1539 | 1539 | |
|
|
1540 | 1540 | showprofile = False |
|
|
1541 | 1541 | # thisDatetime = dataOut.datatime |
|
|
1542 | 1542 | thisDatetime = datetime.datetime.utcfromtimestamp(x[1]) |
|
|
1543 | 1543 | title = wintitle + " EW Drifts" |
|
|
1544 | 1544 | xlabel = "" |
|
|
1545 | 1545 | ylabel = "Height (Km)" |
|
|
1546 | 1546 | |
|
|
1547 | 1547 | if not self.isConfig: |
|
|
1548 | 1548 | |
|
|
1549 | 1549 | self.setup(id=id, |
|
|
1550 | 1550 | nplots=nplots, |
|
|
1551 | 1551 | wintitle=wintitle, |
|
|
1552 | 1552 | showprofile=showprofile, |
|
|
1553 | 1553 | show=show) |
|
|
1554 | 1554 | |
|
|
1555 | 1555 | self.xmin, self.xmax = self.getTimeLim(x, xmin, xmax, timerange) |
|
|
1556 | 1556 | |
|
|
1557 | 1557 | if ymin == None: ymin = numpy.nanmin(y) |
|
|
1558 | 1558 | if ymax == None: ymax = numpy.nanmax(y) |
|
|
1559 | 1559 | |
|
|
1560 | 1560 | if zmaxZonal == None: zmaxZonal = numpy.nanmax(abs(z[0,:])) |
|
|
1561 | 1561 | if zminZonal == None: zminZonal = -zmaxZonal |
|
|
1562 | 1562 | if zmaxVertical == None: zmaxVertical = numpy.nanmax(abs(z[1,:])) |
|
|
1563 | 1563 | if zminVertical == None: zminVertical = -zmaxVertical |
|
|
1564 | 1564 | |
|
|
1565 | 1565 | if dataOut.data_SNR is not None: |
|
|
1566 | 1566 | if SNRmin == None: SNRmin = numpy.nanmin(SNRavgdB) |
|
|
1567 | 1567 | if SNRmax == None: SNRmax = numpy.nanmax(SNRavgdB) |
|
|
1568 | 1568 | |
|
|
1569 | 1569 | self.FTP_WEI = ftp_wei |
|
|
1570 | 1570 | self.EXP_CODE = exp_code |
|
|
1571 | 1571 | self.SUB_EXP_CODE = sub_exp_code |
|
|
1572 | 1572 | self.PLOT_POS = plot_pos |
|
|
1573 | 1573 | |
|
|
1574 | 1574 | self.name = thisDatetime.strftime("%Y%m%d_%H%M%S") |
|
|
1575 | 1575 | self.isConfig = True |
|
|
1576 | 1576 | |
|
|
1577 | 1577 | |
|
|
1578 | 1578 | self.setWinTitle(title) |
|
|
1579 | 1579 | |
|
|
1580 | 1580 | if ((self.xmax - x[1]) < (x[1]-x[0])): |
|
|
1581 | 1581 | x[1] = self.xmax |
|
|
1582 | 1582 | |
|
|
1583 | 1583 | strWind = ['Zonal','Vertical'] |
|
|
1584 | 1584 | strCb = 'Velocity (m/s)' |
|
|
1585 | 1585 | zmaxVector = [zmaxZonal, zmaxVertical] |
|
|
1586 | 1586 | zminVector = [zminZonal, zminVertical] |
|
|
1587 | 1587 | |
|
|
1588 | 1588 | for i in range(nplotsw): |
|
|
1589 | 1589 | |
|
|
1590 | 1590 | title = "%s Drifts: %s" %(strWind[i], thisDatetime.strftime("%Y/%m/%d %H:%M:%S")) |
|
|
1591 | 1591 | axes = self.axesList[i*self.__nsubplots] |
|
|
1592 | 1592 | |
|
|
1593 | 1593 | z1 = z[i,:].reshape((1,-1)) |
|
|
1594 | 1594 | |
|
|
1595 | 1595 | axes.pcolorbuffer(x, y, z1, |
|
|
1596 | 1596 | xmin=self.xmin, xmax=self.xmax, ymin=ymin, ymax=ymax, zmin=zminVector[i], zmax=zmaxVector[i], |
|
|
1597 | 1597 | xlabel=xlabel, ylabel=ylabel, title=title, rti=True, XAxisAsTime=True, |
|
|
1598 | 1598 | ticksize=9, cblabel=strCb, cbsize="1%", colormap="RdBu_r") |
|
|
1599 | 1599 | |
|
|
1600 | 1600 | if dataOut.data_SNR is not None: |
|
|
1601 | 1601 | i += 1 |
|
|
1602 | 1602 | if SNR_1: |
|
|
1603 | 1603 | title = "Signal Noise Ratio + 1 (SNR+1): %s" %(thisDatetime.strftime("%Y/%m/%d %H:%M:%S")) |
|
|
1604 | 1604 | else: |
|
|
1605 | 1605 | title = "Signal Noise Ratio (SNR): %s" %(thisDatetime.strftime("%Y/%m/%d %H:%M:%S")) |
|
|
1606 | 1606 | axes = self.axesList[i*self.__nsubplots] |
|
|
1607 | 1607 | SNRavgdB = SNRavgdB.reshape((1,-1)) |
|
|
1608 | 1608 | |
|
|
1609 | 1609 | axes.pcolorbuffer(x, y, SNRavgdB, |
|
|
1610 | 1610 | xmin=self.xmin, xmax=self.xmax, ymin=ymin, ymax=ymax, zmin=SNRmin, zmax=SNRmax, |
|
|
1611 | 1611 | xlabel=xlabel, ylabel=ylabel, title=title, rti=True, XAxisAsTime=True, |
|
|
1612 | 1612 | ticksize=9, cblabel='', cbsize="1%", colormap="jet") |
|
|
1613 | 1613 | |
|
|
1614 | 1614 | self.draw() |
|
|
1615 | 1615 | |
|
|
1616 | 1616 | if x[1] >= self.axesList[0].xmax: |
|
|
1617 | 1617 | self.counter_imagwr = wr_period |
|
|
1618 | 1618 | self.isConfig = False |
|
|
1619 | 1619 | self.figfile = None |
|
|
1620 | 1620 | |
|
|
1621 | 1621 | |
|
|
1622 | 1622 | |
|
|
1623 | 1623 | |
|
|
1624 | class PhasePlot(Figure): | |
|
|
1624 | class PhasePlot_(Figure): | |
|
|
1625 | 1625 | |
|
|
1626 | 1626 | __isConfig = None |
|
|
1627 | 1627 | __nsubplots = None |
|
|
1628 | 1628 | |
|
|
1629 | 1629 | PREFIX = 'mphase' |
|
|
1630 | 1630 | |
|
|
1631 | 1631 | |
|
|
1632 | 1632 | def __init__(self, **kwargs): |
|
|
1633 | 1633 | Figure.__init__(self, **kwargs) |
|
|
1634 | 1634 | self.timerange = 24*60*60 |
|
|
1635 | 1635 | self.isConfig = False |
|
|
1636 | 1636 | self.__nsubplots = 1 |
|
|
1637 | 1637 | self.counter_imagwr = 0 |
|
|
1638 | 1638 | self.WIDTH = 600 |
|
|
1639 | 1639 | self.HEIGHT = 300 |
|
|
1640 | 1640 | self.WIDTHPROF = 120 |
|
|
1641 | 1641 | self.HEIGHTPROF = 0 |
|
|
1642 | 1642 | self.xdata = None |
|
|
1643 | 1643 | self.ydata = None |
|
|
1644 | 1644 | |
|
|
1645 | 1645 | self.PLOT_CODE = MPHASE_CODE |
|
|
1646 | 1646 | |
|
|
1647 | 1647 | self.FTP_WEI = None |
|
|
1648 | 1648 | self.EXP_CODE = None |
|
|
1649 | 1649 | self.SUB_EXP_CODE = None |
|
|
1650 | 1650 | self.PLOT_POS = None |
|
|
1651 | 1651 | |
|
|
1652 | 1652 | |
|
|
1653 | 1653 | self.filename_phase = None |
|
|
1654 | 1654 | |
|
|
1655 | 1655 | self.figfile = None |
|
|
1656 | 1656 | |
|
|
1657 | 1657 | def getSubplots(self): |
|
|
1658 | 1658 | |
|
|
1659 | 1659 | ncol = 1 |
|
|
1660 | 1660 | nrow = 1 |
|
|
1661 | 1661 | |
|
|
1662 | 1662 | return nrow, ncol |
|
|
1663 | 1663 | |
|
|
1664 | 1664 | def setup(self, id, nplots, wintitle, showprofile=True, show=True): |
|
|
1665 | 1665 | |
|
|
1666 | 1666 | self.__showprofile = showprofile |
|
|
1667 | 1667 | self.nplots = nplots |
|
|
1668 | 1668 | |
|
|
1669 | 1669 | ncolspan = 7 |
|
|
1670 | 1670 | colspan = 6 |
|
|
1671 | 1671 | self.__nsubplots = 2 |
|
|
1672 | 1672 | |
|
|
1673 | 1673 | self.createFigure(id = id, |
|
|
1674 | 1674 | wintitle = wintitle, |
|
|
1675 | 1675 | widthplot = self.WIDTH+self.WIDTHPROF, |
|
|
1676 | 1676 | heightplot = self.HEIGHT+self.HEIGHTPROF, |
|
|
1677 | 1677 | show=show) |
|
|
1678 | 1678 | |
|
|
1679 | 1679 | nrow, ncol = self.getSubplots() |
|
|
1680 | 1680 | |
|
|
1681 | 1681 | self.addAxes(nrow, ncol*ncolspan, 0, 0, colspan, 1) |
|
|
1682 | 1682 | |
|
|
1683 | 1683 | |
|
|
1684 | 1684 | def run(self, dataOut, id, wintitle="", pairsList=None, showprofile='True', |
|
|
1685 | 1685 | xmin=None, xmax=None, ymin=None, ymax=None, |
|
|
1686 | 1686 | timerange=None, |
|
|
1687 | 1687 | save=False, figpath='./', figfile=None, show=True, ftp=False, wr_period=1, |
|
|
1688 | 1688 | server=None, folder=None, username=None, password=None, |
|
|
1689 | 1689 | ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0): |
|
|
1690 | 1690 | |
|
|
1691 | 1691 | |
|
|
1692 | 1692 | tmin = None |
|
|
1693 | 1693 | tmax = None |
|
|
1694 | 1694 | x = dataOut.getTimeRange1(dataOut.outputInterval) |
|
|
1695 | 1695 | y = dataOut.getHeiRange() |
|
|
1696 | 1696 | |
|
|
1697 | 1697 | |
|
|
1698 | 1698 | #thisDatetime = dataOut.datatime |
|
|
1699 | 1699 | thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.ltctime) |
|
|
1700 | 1700 | title = wintitle + " Phase of Beacon Signal" # : %s" %(thisDatetime.strftime("%d-%b-%Y")) |
|
|
1701 | 1701 | xlabel = "Local Time" |
|
|
1702 | 1702 | ylabel = "Phase" |
|
|
1703 | 1703 | |
|
|
1704 | 1704 | |
|
|
1705 | 1705 | #phase = numpy.zeros((len(pairsIndexList),len(dataOut.beacon_heiIndexList))) |
|
|
1706 | 1706 | phase_beacon = dataOut.data_output |
|
|
1707 | 1707 | update_figfile = False |
|
|
1708 | 1708 | |
|
|
1709 | 1709 | if not self.isConfig: |
|
|
1710 | 1710 | |
|
|
1711 | 1711 | self.nplots = phase_beacon.size |
|
|
1712 | 1712 | |
|
|
1713 | 1713 | self.setup(id=id, |
|
|
1714 | 1714 | nplots=self.nplots, |
|
|
1715 | 1715 | wintitle=wintitle, |
|
|
1716 | 1716 | showprofile=showprofile, |
|
|
1717 | 1717 | show=show) |
|
|
1718 | 1718 | |
|
|
1719 | 1719 | if timerange is not None: |
|
|
1720 | 1720 | self.timerange = timerange |
|
|
1721 | 1721 | |
|
|
1722 | 1722 | self.xmin, self.xmax = self.getTimeLim(x, xmin, xmax, timerange) |
|
|
1723 | 1723 | |
|
|
1724 | 1724 | if ymin == None: ymin = numpy.nanmin(phase_beacon) - 10.0 |
|
|
1725 | 1725 | if ymax == None: ymax = numpy.nanmax(phase_beacon) + 10.0 |
|
|
1726 | 1726 | |
|
|
1727 | 1727 | self.FTP_WEI = ftp_wei |
|
|
1728 | 1728 | self.EXP_CODE = exp_code |
|
|
1729 | 1729 | self.SUB_EXP_CODE = sub_exp_code |
|
|
1730 | 1730 | self.PLOT_POS = plot_pos |
|
|
1731 | 1731 | |
|
|
1732 | 1732 | self.name = thisDatetime.strftime("%Y%m%d_%H%M%S") |
|
|
1733 | 1733 | self.isConfig = True |
|
|
1734 | 1734 | self.figfile = figfile |
|
|
1735 | 1735 | self.xdata = numpy.array([]) |
|
|
1736 | 1736 | self.ydata = numpy.array([]) |
|
|
1737 | 1737 | |
|
|
1738 | 1738 | #open file beacon phase |
|
|
1739 | 1739 | path = '%s%03d' %(self.PREFIX, self.id) |
|
|
1740 | 1740 | beacon_file = os.path.join(path,'%s.txt'%self.name) |
|
|
1741 | 1741 | self.filename_phase = os.path.join(figpath,beacon_file) |
|
|
1742 | 1742 | update_figfile = True |
|
|
1743 | 1743 | |
|
|
1744 | 1744 | |
|
|
1745 | 1745 | #store data beacon phase |
|
|
1746 | 1746 | #self.save_data(self.filename_phase, phase_beacon, thisDatetime) |
|
|
1747 | 1747 | |
|
|
1748 | 1748 | self.setWinTitle(title) |
|
|
1749 | 1749 | |
|
|
1750 | 1750 | |
|
|
1751 | 1751 | title = "Phase Offset %s" %(thisDatetime.strftime("%Y/%m/%d %H:%M:%S")) |
|
|
1752 | 1752 | |
|
|
1753 | 1753 | legendlabels = ["phase %d"%(chan) for chan in numpy.arange(self.nplots)] |
|
|
1754 | 1754 | |
|
|
1755 | 1755 | axes = self.axesList[0] |
|
|
1756 | 1756 | |
|
|
1757 | 1757 | self.xdata = numpy.hstack((self.xdata, x[0:1])) |
|
|
1758 | 1758 | |
|
|
1759 | 1759 | if len(self.ydata)==0: |
|
|
1760 | 1760 | self.ydata = phase_beacon.reshape(-1,1) |
|
|
1761 | 1761 | else: |
|
|
1762 | 1762 | self.ydata = numpy.hstack((self.ydata, phase_beacon.reshape(-1,1))) |
|
|
1763 | 1763 | |
|
|
1764 | 1764 | |
|
|
1765 | 1765 | axes.pmultilineyaxis(x=self.xdata, y=self.ydata, |
|
|
1766 | 1766 | xmin=self.xmin, xmax=self.xmax, ymin=ymin, ymax=ymax, |
|
|
1767 | 1767 | xlabel=xlabel, ylabel=ylabel, title=title, legendlabels=legendlabels, marker='x', markersize=8, linestyle="solid", |
|
|
1768 | 1768 | XAxisAsTime=True, grid='both' |
|
|
1769 | 1769 | ) |
|
|
1770 | 1770 | |
|
|
1771 | 1771 | self.draw() |
|
|
1772 | 1772 | |
|
|
1773 | 1773 | self.save(figpath=figpath, |
|
|
1774 | 1774 | figfile=figfile, |
|
|
1775 | 1775 | save=save, |
|
|
1776 | 1776 | ftp=ftp, |
|
|
1777 | 1777 | wr_period=wr_period, |
|
|
1778 | 1778 | thisDatetime=thisDatetime, |
|
|
1779 | 1779 | update_figfile=update_figfile) |
|
|
1780 | 1780 | |
|
|
1781 | 1781 | if dataOut.ltctime + dataOut.outputInterval >= self.xmax: |
|
|
1782 | 1782 | self.counter_imagwr = wr_period |
|
|
1783 | 1783 | self.isConfig = False |
|
|
1784 | 1784 | update_figfile = True |
|
|
1785 | 1785 | |
|
|
1786 | 1786 | |
|
|
1787 | 1787 | |
|
|
1788 | class NSMeteorDetection1Plot(Figure): | |
|
|
1788 | class NSMeteorDetection1Plot_(Figure): | |
|
|
1789 | 1789 | |
|
|
1790 | 1790 | isConfig = None |
|
|
1791 | 1791 | __nsubplots = None |
|
|
1792 | 1792 | |
|
|
1793 | 1793 | WIDTHPROF = None |
|
|
1794 | 1794 | HEIGHTPROF = None |
|
|
1795 | 1795 | PREFIX = 'nsm' |
|
|
1796 | 1796 | |
|
|
1797 | 1797 | zminList = None |
|
|
1798 | 1798 | zmaxList = None |
|
|
1799 | 1799 | cmapList = None |
|
|
1800 | 1800 | titleList = None |
|
|
1801 | 1801 | nPairs = None |
|
|
1802 | 1802 | nChannels = None |
|
|
1803 | 1803 | nParam = None |
|
|
1804 | 1804 | |
|
|
1805 | 1805 | def __init__(self, **kwargs): |
|
|
1806 | 1806 | Figure.__init__(self, **kwargs) |
|
|
1807 | 1807 | self.isConfig = False |
|
|
1808 | 1808 | self.__nsubplots = 1 |
|
|
1809 | 1809 | |
|
|
1810 | 1810 | self.WIDTH = 750 |
|
|
1811 | 1811 | self.HEIGHT = 250 |
|
|
1812 | 1812 | self.WIDTHPROF = 120 |
|
|
1813 | 1813 | self.HEIGHTPROF = 0 |
|
|
1814 | 1814 | self.counter_imagwr = 0 |
|
|
1815 | 1815 | |
|
|
1816 | 1816 | self.PLOT_CODE = SPEC_CODE |
|
|
1817 | 1817 | |
|
|
1818 | 1818 | self.FTP_WEI = None |
|
|
1819 | 1819 | self.EXP_CODE = None |
|
|
1820 | 1820 | self.SUB_EXP_CODE = None |
|
|
1821 | 1821 | self.PLOT_POS = None |
|
|
1822 | 1822 | |
|
|
1823 | 1823 | self.__xfilter_ena = False |
|
|
1824 | 1824 | self.__yfilter_ena = False |
|
|
1825 | 1825 | |
|
|
1826 | 1826 | def getSubplots(self): |
|
|
1827 | 1827 | |
|
|
1828 | 1828 | ncol = 3 |
|
|
1829 | 1829 | nrow = int(numpy.ceil(self.nplots/3.0)) |
|
|
1830 | 1830 | |
|
|
1831 | 1831 | return nrow, ncol |
|
|
1832 | 1832 | |
|
|
1833 | 1833 | def setup(self, id, nplots, wintitle, show=True): |
|
|
1834 | 1834 | |
|
|
1835 | 1835 | self.nplots = nplots |
|
|
1836 | 1836 | |
|
|
1837 | 1837 | ncolspan = 1 |
|
|
1838 | 1838 | colspan = 1 |
|
|
1839 | 1839 | |
|
|
1840 | 1840 | self.createFigure(id = id, |
|
|
1841 | 1841 | wintitle = wintitle, |
|
|
1842 | 1842 | widthplot = self.WIDTH + self.WIDTHPROF, |
|
|
1843 | 1843 | heightplot = self.HEIGHT + self.HEIGHTPROF, |
|
|
1844 | 1844 | show=show) |
|
|
1845 | 1845 | |
|
|
1846 | 1846 | nrow, ncol = self.getSubplots() |
|
|
1847 | 1847 | |
|
|
1848 | 1848 | counter = 0 |
|
|
1849 | 1849 | for y in range(nrow): |
|
|
1850 | 1850 | for x in range(ncol): |
|
|
1851 | 1851 | |
|
|
1852 | 1852 | if counter >= self.nplots: |
|
|
1853 | 1853 | break |
|
|
1854 | 1854 | |
|
|
1855 | 1855 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan, colspan, 1) |
|
|
1856 | 1856 | |
|
|
1857 | 1857 | counter += 1 |
|
|
1858 | 1858 | |
|
|
1859 | 1859 | def run(self, dataOut, id, wintitle="", channelList=None, showprofile=True, |
|
|
1860 | 1860 | xmin=None, xmax=None, ymin=None, ymax=None, SNRmin=None, SNRmax=None, |
|
|
1861 | 1861 | vmin=None, vmax=None, wmin=None, wmax=None, mode = 'SA', |
|
|
1862 | 1862 | save=False, figpath='./', figfile=None, show=True, ftp=False, wr_period=1, |
|
|
1863 | 1863 | server=None, folder=None, username=None, password=None, |
|
|
1864 | 1864 | ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0, realtime=False, |
|
|
1865 | 1865 | xaxis="frequency"): |
|
|
1866 | 1866 | |
|
|
1867 | 1867 | """ |
|
|
1868 | 1868 | |
|
|
1869 | 1869 | Input: |
|
|
1870 | 1870 | dataOut : |
|
|
1871 | 1871 | id : |
|
|
1872 | 1872 | wintitle : |
|
|
1873 | 1873 | channelList : |
|
|
1874 | 1874 | showProfile : |
|
|
1875 | 1875 | xmin : None, |
|
|
1876 | 1876 | xmax : None, |
|
|
1877 | 1877 | ymin : None, |
|
|
1878 | 1878 | ymax : None, |
|
|
1879 | 1879 | zmin : None, |
|
|
1880 | 1880 | zmax : None |
|
|
1881 | 1881 | """ |
|
|
1882 | 1882 | #SEPARAR EN DOS PLOTS |
|
|
1883 | 1883 | nParam = dataOut.data_param.shape[1] - 3 |
|
|
1884 | 1884 | |
|
|
1885 | 1885 | utctime = dataOut.data_param[0,0] |
|
|
1886 | 1886 | tmet = dataOut.data_param[:,1].astype(int) |
|
|
1887 | 1887 | hmet = dataOut.data_param[:,2].astype(int) |
|
|
1888 | 1888 | |
|
|
1889 | 1889 | x = dataOut.abscissaList |
|
|
1890 | 1890 | y = dataOut.heightList |
|
|
1891 | 1891 | |
|
|
1892 | 1892 | z = numpy.zeros((nParam, y.size, x.size - 1)) |
|
|
1893 | 1893 | z[:,:] = numpy.nan |
|
|
1894 | 1894 | z[:,hmet,tmet] = dataOut.data_param[:,3:].T |
|
|
1895 | 1895 | z[0,:,:] = 10*numpy.log10(z[0,:,:]) |
|
|
1896 | 1896 | |
|
|
1897 | 1897 | xlabel = "Time (s)" |
|
|
1898 | 1898 | ylabel = "Range (km)" |
|
|
1899 | 1899 | |
|
|
1900 | 1900 | thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.ltctime) |
|
|
1901 | 1901 | |
|
|
1902 | 1902 | if not self.isConfig: |
|
|
1903 | 1903 | |
|
|
1904 | 1904 | nplots = nParam |
|
|
1905 | 1905 | |
|
|
1906 | 1906 | self.setup(id=id, |
|
|
1907 | 1907 | nplots=nplots, |
|
|
1908 | 1908 | wintitle=wintitle, |
|
|
1909 | 1909 | show=show) |
|
|
1910 | 1910 | |
|
|
1911 | 1911 | if xmin is None: xmin = numpy.nanmin(x) |
|
|
1912 | 1912 | if xmax is None: xmax = numpy.nanmax(x) |
|
|
1913 | 1913 | if ymin is None: ymin = numpy.nanmin(y) |
|
|
1914 | 1914 | if ymax is None: ymax = numpy.nanmax(y) |
|
|
1915 | 1915 | if SNRmin is None: SNRmin = numpy.nanmin(z[0,:]) |
|
|
1916 | 1916 | if SNRmax is None: SNRmax = numpy.nanmax(z[0,:]) |
|
|
1917 | 1917 | if vmax is None: vmax = numpy.nanmax(numpy.abs(z[1,:])) |
|
|
1918 | 1918 | if vmin is None: vmin = -vmax |
|
|
1919 | 1919 | if wmin is None: wmin = 0 |
|
|
1920 | 1920 | if wmax is None: wmax = 50 |
|
|
1921 | 1921 | |
|
|
1922 | 1922 | pairsList = dataOut.groupList |
|
|
1923 | 1923 | self.nPairs = len(dataOut.groupList) |
|
|
1924 | 1924 | |
|
|
1925 | 1925 | zminList = [SNRmin, vmin, cmin] + [pmin]*self.nPairs |
|
|
1926 | 1926 | zmaxList = [SNRmax, vmax, cmax] + [pmax]*self.nPairs |
|
|
1927 | 1927 | titleList = ["SNR","Radial Velocity","Coherence"] |
|
|
1928 | 1928 | cmapList = ["jet","RdBu_r","jet"] |
|
|
1929 | 1929 | |
|
|
1930 | 1930 | for i in range(self.nPairs): |
|
|
1931 | 1931 | strAux1 = "Phase Difference "+ str(pairsList[i][0]) + str(pairsList[i][1]) |
|
|
1932 | 1932 | titleList = titleList + [strAux1] |
|
|
1933 | 1933 | cmapList = cmapList + ["RdBu_r"] |
|
|
1934 | 1934 | |
|
|
1935 | 1935 | self.zminList = zminList |
|
|
1936 | 1936 | self.zmaxList = zmaxList |
|
|
1937 | 1937 | self.cmapList = cmapList |
|
|
1938 | 1938 | self.titleList = titleList |
|
|
1939 | 1939 | |
|
|
1940 | 1940 | self.FTP_WEI = ftp_wei |
|
|
1941 | 1941 | self.EXP_CODE = exp_code |
|
|
1942 | 1942 | self.SUB_EXP_CODE = sub_exp_code |
|
|
1943 | 1943 | self.PLOT_POS = plot_pos |
|
|
1944 | 1944 | |
|
|
1945 | 1945 | self.isConfig = True |
|
|
1946 | 1946 | |
|
|
1947 | 1947 | str_datetime = '%s %s'%(thisDatetime.strftime("%Y/%m/%d"),thisDatetime.strftime("%H:%M:%S")) |
|
|
1948 | 1948 | |
|
|
1949 | 1949 | for i in range(nParam): |
|
|
1950 | 1950 | title = self.titleList[i] + ": " +str_datetime |
|
|
1951 | 1951 | axes = self.axesList[i] |
|
|
1952 | 1952 | axes.pcolor(x, y, z[i,:].T, |
|
|
1953 | 1953 | xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, zmin=self.zminList[i], zmax=self.zmaxList[i], |
|
|
1954 | 1954 | xlabel=xlabel, ylabel=ylabel, title=title, colormap=self.cmapList[i],ticksize=9, cblabel='') |
|
|
1955 | 1955 | self.draw() |
|
|
1956 | 1956 | |
|
|
1957 | 1957 | if figfile == None: |
|
|
1958 | 1958 | str_datetime = thisDatetime.strftime("%Y%m%d_%H%M%S") |
|
|
1959 | 1959 | name = str_datetime |
|
|
1960 | 1960 | if ((dataOut.azimuth!=None) and (dataOut.zenith!=None)): |
|
|
1961 | 1961 | name = name + '_az' + '_%2.2f'%(dataOut.azimuth) + '_zn' + '_%2.2f'%(dataOut.zenith) |
|
|
1962 | 1962 | figfile = self.getFilename(name) |
|
|
1963 | 1963 | |
|
|
1964 | 1964 | self.save(figpath=figpath, |
|
|
1965 | 1965 | figfile=figfile, |
|
|
1966 | 1966 | save=save, |
|
|
1967 | 1967 | ftp=ftp, |
|
|
1968 | 1968 | wr_period=wr_period, |
|
|
1969 | 1969 | thisDatetime=thisDatetime) |
|
|
1970 | 1970 | |
|
|
1971 | 1971 | |
|
|
1972 | class NSMeteorDetection2Plot(Figure): | |
|
|
1972 | class NSMeteorDetection2Plot_(Figure): | |
|
|
1973 | 1973 | |
|
|
1974 | 1974 | isConfig = None |
|
|
1975 | 1975 | __nsubplots = None |
|
|
1976 | 1976 | |
|
|
1977 | 1977 | WIDTHPROF = None |
|
|
1978 | 1978 | HEIGHTPROF = None |
|
|
1979 | 1979 | PREFIX = 'nsm' |
|
|
1980 | 1980 | |
|
|
1981 | 1981 | zminList = None |
|
|
1982 | 1982 | zmaxList = None |
|
|
1983 | 1983 | cmapList = None |
|
|
1984 | 1984 | titleList = None |
|
|
1985 | 1985 | nPairs = None |
|
|
1986 | 1986 | nChannels = None |
|
|
1987 | 1987 | nParam = None |
|
|
1988 | 1988 | |
|
|
1989 | 1989 | def __init__(self, **kwargs): |
|
|
1990 | 1990 | Figure.__init__(self, **kwargs) |
|
|
1991 | 1991 | self.isConfig = False |
|
|
1992 | 1992 | self.__nsubplots = 1 |
|
|
1993 | 1993 | |
|
|
1994 | 1994 | self.WIDTH = 750 |
|
|
1995 | 1995 | self.HEIGHT = 250 |
|
|
1996 | 1996 | self.WIDTHPROF = 120 |
|
|
1997 | 1997 | self.HEIGHTPROF = 0 |
|
|
1998 | 1998 | self.counter_imagwr = 0 |
|
|
1999 | 1999 | |
|
|
2000 | 2000 | self.PLOT_CODE = SPEC_CODE |
|
|
2001 | 2001 | |
|
|
2002 | 2002 | self.FTP_WEI = None |
|
|
2003 | 2003 | self.EXP_CODE = None |
|
|
2004 | 2004 | self.SUB_EXP_CODE = None |
|
|
2005 | 2005 | self.PLOT_POS = None |
|
|
2006 | 2006 | |
|
|
2007 | 2007 | self.__xfilter_ena = False |
|
|
2008 | 2008 | self.__yfilter_ena = False |
|
|
2009 | 2009 | |
|
|
2010 | 2010 | def getSubplots(self): |
|
|
2011 | 2011 | |
|
|
2012 | 2012 | ncol = 3 |
|
|
2013 | 2013 | nrow = int(numpy.ceil(self.nplots/3.0)) |
|
|
2014 | 2014 | |
|
|
2015 | 2015 | return nrow, ncol |
|
|
2016 | 2016 | |
|
|
2017 | 2017 | def setup(self, id, nplots, wintitle, show=True): |
|
|
2018 | 2018 | |
|
|
2019 | 2019 | self.nplots = nplots |
|
|
2020 | 2020 | |
|
|
2021 | 2021 | ncolspan = 1 |
|
|
2022 | 2022 | colspan = 1 |
|
|
2023 | 2023 | |
|
|
2024 | 2024 | self.createFigure(id = id, |
|
|
2025 | 2025 | wintitle = wintitle, |
|
|
2026 | 2026 | widthplot = self.WIDTH + self.WIDTHPROF, |
|
|
2027 | 2027 | heightplot = self.HEIGHT + self.HEIGHTPROF, |
|
|
2028 | 2028 | show=show) |
|
|
2029 | 2029 | |
|
|
2030 | 2030 | nrow, ncol = self.getSubplots() |
|
|
2031 | 2031 | |
|
|
2032 | 2032 | counter = 0 |
|
|
2033 | 2033 | for y in range(nrow): |
|
|
2034 | 2034 | for x in range(ncol): |
|
|
2035 | 2035 | |
|
|
2036 | 2036 | if counter >= self.nplots: |
|
|
2037 | 2037 | break |
|
|
2038 | 2038 | |
|
|
2039 | 2039 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan, colspan, 1) |
|
|
2040 | 2040 | |
|
|
2041 | 2041 | counter += 1 |
|
|
2042 | 2042 | |
|
|
2043 | 2043 | def run(self, dataOut, id, wintitle="", channelList=None, showprofile=True, |
|
|
2044 | 2044 | xmin=None, xmax=None, ymin=None, ymax=None, SNRmin=None, SNRmax=None, |
|
|
2045 | 2045 | vmin=None, vmax=None, wmin=None, wmax=None, mode = 'SA', |
|
|
2046 | 2046 | save=False, figpath='./', figfile=None, show=True, ftp=False, wr_period=1, |
|
|
2047 | 2047 | server=None, folder=None, username=None, password=None, |
|
|
2048 | 2048 | ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0, realtime=False, |
|
|
2049 | 2049 | xaxis="frequency"): |
|
|
2050 | 2050 | |
|
|
2051 | 2051 | """ |
|
|
2052 | 2052 | |
|
|
2053 | 2053 | Input: |
|
|
2054 | 2054 | dataOut : |
|
|
2055 | 2055 | id : |
|
|
2056 | 2056 | wintitle : |
|
|
2057 | 2057 | channelList : |
|
|
2058 | 2058 | showProfile : |
|
|
2059 | 2059 | xmin : None, |
|
|
2060 | 2060 | xmax : None, |
|
|
2061 | 2061 | ymin : None, |
|
|
2062 | 2062 | ymax : None, |
|
|
2063 | 2063 | zmin : None, |
|
|
2064 | 2064 | zmax : None |
|
|
2065 | 2065 | """ |
|
|
2066 | 2066 | #Rebuild matrix |
|
|
2067 | 2067 | utctime = dataOut.data_param[0,0] |
|
|
2068 | 2068 | cmet = dataOut.data_param[:,1].astype(int) |
|
|
2069 | 2069 | tmet = dataOut.data_param[:,2].astype(int) |
|
|
2070 | 2070 | hmet = dataOut.data_param[:,3].astype(int) |
|
|
2071 | 2071 | |
|
|
2072 | 2072 | nParam = 3 |
|
|
2073 | 2073 | nChan = len(dataOut.groupList) |
|
|
2074 | 2074 | x = dataOut.abscissaList |
|
|
2075 | 2075 | y = dataOut.heightList |
|
|
2076 | 2076 | |
|
|
2077 | 2077 | z = numpy.full((nChan, nParam, y.size, x.size - 1),numpy.nan) |
|
|
2078 | 2078 | z[cmet,:,hmet,tmet] = dataOut.data_param[:,4:] |
|
|
2079 | 2079 | z[:,0,:,:] = 10*numpy.log10(z[:,0,:,:]) #logarithmic scale |
|
|
2080 | 2080 | z = numpy.reshape(z, (nChan*nParam, y.size, x.size-1)) |
|
|
2081 | 2081 | |
|
|
2082 | 2082 | xlabel = "Time (s)" |
|
|
2083 | 2083 | ylabel = "Range (km)" |
|
|
2084 | 2084 | |
|
|
2085 | 2085 | thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.ltctime) |
|
|
2086 | 2086 | |
|
|
2087 | 2087 | if not self.isConfig: |
|
|
2088 | 2088 | |
|
|
2089 | 2089 | nplots = nParam*nChan |
|
|
2090 | 2090 | |
|
|
2091 | 2091 | self.setup(id=id, |
|
|
2092 | 2092 | nplots=nplots, |
|
|
2093 | 2093 | wintitle=wintitle, |
|
|
2094 | 2094 | show=show) |
|
|
2095 | 2095 | |
|
|
2096 | 2096 | if xmin is None: xmin = numpy.nanmin(x) |
|
|
2097 | 2097 | if xmax is None: xmax = numpy.nanmax(x) |
|
|
2098 | 2098 | if ymin is None: ymin = numpy.nanmin(y) |
|
|
2099 | 2099 | if ymax is None: ymax = numpy.nanmax(y) |
|
|
2100 | 2100 | if SNRmin is None: SNRmin = numpy.nanmin(z[0,:]) |
|
|
2101 | 2101 | if SNRmax is None: SNRmax = numpy.nanmax(z[0,:]) |
|
|
2102 | 2102 | if vmax is None: vmax = numpy.nanmax(numpy.abs(z[1,:])) |
|
|
2103 | 2103 | if vmin is None: vmin = -vmax |
|
|
2104 | 2104 | if wmin is None: wmin = 0 |
|
|
2105 | 2105 | if wmax is None: wmax = 50 |
|
|
2106 | 2106 | |
|
|
2107 | 2107 | self.nChannels = nChan |
|
|
2108 | 2108 | |
|
|
2109 | 2109 | zminList = [] |
|
|
2110 | 2110 | zmaxList = [] |
|
|
2111 | 2111 | titleList = [] |
|
|
2112 | 2112 | cmapList = [] |
|
|
2113 | 2113 | for i in range(self.nChannels): |
|
|
2114 | 2114 | strAux1 = "SNR Channel "+ str(i) |
|
|
2115 | 2115 | strAux2 = "Radial Velocity Channel "+ str(i) |
|
|
2116 | 2116 | strAux3 = "Spectral Width Channel "+ str(i) |
|
|
2117 | 2117 | |
|
|
2118 | 2118 | titleList = titleList + [strAux1,strAux2,strAux3] |
|
|
2119 | 2119 | cmapList = cmapList + ["jet","RdBu_r","jet"] |
|
|
2120 | 2120 | zminList = zminList + [SNRmin,vmin,wmin] |
|
|
2121 | 2121 | zmaxList = zmaxList + [SNRmax,vmax,wmax] |
|
|
2122 | 2122 | |
|
|
2123 | 2123 | self.zminList = zminList |
|
|
2124 | 2124 | self.zmaxList = zmaxList |
|
|
2125 | 2125 | self.cmapList = cmapList |
|
|
2126 | 2126 | self.titleList = titleList |
|
|
2127 | 2127 | |
|
|
2128 | 2128 | self.FTP_WEI = ftp_wei |
|
|
2129 | 2129 | self.EXP_CODE = exp_code |
|
|
2130 | 2130 | self.SUB_EXP_CODE = sub_exp_code |
|
|
2131 | 2131 | self.PLOT_POS = plot_pos |
|
|
2132 | 2132 | |
|
|
2133 | 2133 | self.isConfig = True |
|
|
2134 | 2134 | |
|
|
2135 | 2135 | str_datetime = '%s %s'%(thisDatetime.strftime("%Y/%m/%d"),thisDatetime.strftime("%H:%M:%S")) |
|
|
2136 | 2136 | |
|
|
2137 | 2137 | for i in range(self.nplots): |
|
|
2138 | 2138 | title = self.titleList[i] + ": " +str_datetime |
|
|
2139 | 2139 | axes = self.axesList[i] |
|
|
2140 | 2140 | axes.pcolor(x, y, z[i,:].T, |
|
|
2141 | 2141 | xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, zmin=self.zminList[i], zmax=self.zmaxList[i], |
|
|
2142 | 2142 | xlabel=xlabel, ylabel=ylabel, title=title, colormap=self.cmapList[i],ticksize=9, cblabel='') |
|
|
2143 | 2143 | self.draw() |
|
|
2144 | 2144 | |
|
|
2145 | 2145 | if figfile == None: |
|
|
2146 | 2146 | str_datetime = thisDatetime.strftime("%Y%m%d_%H%M%S") |
|
|
2147 | 2147 | name = str_datetime |
|
|
2148 | 2148 | if ((dataOut.azimuth!=None) and (dataOut.zenith!=None)): |
|
|
2149 | 2149 | name = name + '_az' + '_%2.2f'%(dataOut.azimuth) + '_zn' + '_%2.2f'%(dataOut.zenith) |
|
|
2150 | 2150 | figfile = self.getFilename(name) |
|
|
2151 | 2151 | |
|
|
2152 | 2152 | self.save(figpath=figpath, |
|
|
2153 | 2153 | figfile=figfile, |
|
|
2154 | 2154 | save=save, |
|
|
2155 | 2155 | ftp=ftp, |
|
|
2156 | 2156 | wr_period=wr_period, |
|
|
2157 | 2157 | thisDatetime=thisDatetime) |
|
|
2158 | 2158 | No newline at end of file |
| @@ -1,1587 +1,1587 | |||
|
|
1 | 1 | ''' |
|
|
2 | 2 | Created on Jul 9, 2014 |
|
|
3 | 3 | |
|
|
4 | 4 | @author: roj-idl71 |
|
|
5 | 5 | ''' |
|
|
6 | 6 | import os |
|
|
7 | 7 | import datetime |
|
|
8 | 8 | import numpy |
|
|
9 | 9 | |
|
|
10 | 10 | from .figure import Figure, isRealtime, isTimeInHourRange |
|
|
11 | 11 | from .plotting_codes import * |
|
|
12 | 12 | from schainpy.model.proc.jroproc_base import MPDecorator |
|
|
13 | 13 | |
|
|
14 | 14 | from schainpy.utils import log |
|
|
15 | 15 | |
|
|
16 | 16 | @MPDecorator |
|
|
17 | class SpectraPlot(Figure): | |
|
|
17 | class SpectraPlot_(Figure): | |
|
|
18 | 18 | |
|
|
19 | 19 | isConfig = None |
|
|
20 | 20 | __nsubplots = None |
|
|
21 | 21 | |
|
|
22 | 22 | WIDTHPROF = None |
|
|
23 | 23 | HEIGHTPROF = None |
|
|
24 | 24 | PREFIX = 'spc' |
|
|
25 | 25 | |
|
|
26 | 26 | def __init__(self): |
|
|
27 | 27 | Figure.__init__(self) |
|
|
28 | 28 | self.isConfig = False |
|
|
29 | 29 | self.__nsubplots = 1 |
|
|
30 | 30 | self.WIDTH = 250 |
|
|
31 | 31 | self.HEIGHT = 250 |
|
|
32 | 32 | self.WIDTHPROF = 120 |
|
|
33 | 33 | self.HEIGHTPROF = 0 |
|
|
34 | 34 | self.counter_imagwr = 0 |
|
|
35 | 35 | |
|
|
36 | 36 | self.PLOT_CODE = SPEC_CODE |
|
|
37 | 37 | |
|
|
38 | 38 | self.FTP_WEI = None |
|
|
39 | 39 | self.EXP_CODE = None |
|
|
40 | 40 | self.SUB_EXP_CODE = None |
|
|
41 | 41 | self.PLOT_POS = None |
|
|
42 | 42 | |
|
|
43 | 43 | self.__xfilter_ena = False |
|
|
44 | 44 | self.__yfilter_ena = False |
|
|
45 | 45 | |
|
|
46 | 46 | def getSubplots(self): |
|
|
47 | 47 | |
|
|
48 | 48 | ncol = int(numpy.sqrt(self.nplots)+0.9) |
|
|
49 | 49 | nrow = int(self.nplots*1./ncol + 0.9) |
|
|
50 | 50 | |
|
|
51 | 51 | return nrow, ncol |
|
|
52 | 52 | |
|
|
53 | 53 | def setup(self, id, nplots, wintitle, showprofile=True, show=True): |
|
|
54 | 54 | |
|
|
55 | 55 | self.__showprofile = showprofile |
|
|
56 | 56 | self.nplots = nplots |
|
|
57 | 57 | |
|
|
58 | 58 | ncolspan = 1 |
|
|
59 | 59 | colspan = 1 |
|
|
60 | 60 | if showprofile: |
|
|
61 | 61 | ncolspan = 3 |
|
|
62 | 62 | colspan = 2 |
|
|
63 | 63 | self.__nsubplots = 2 |
|
|
64 | 64 | |
|
|
65 | 65 | self.createFigure(id = id, |
|
|
66 | 66 | wintitle = wintitle, |
|
|
67 | 67 | widthplot = self.WIDTH + self.WIDTHPROF, |
|
|
68 | 68 | heightplot = self.HEIGHT + self.HEIGHTPROF, |
|
|
69 | 69 | show=show) |
|
|
70 | 70 | |
|
|
71 | 71 | nrow, ncol = self.getSubplots() |
|
|
72 | 72 | |
|
|
73 | 73 | counter = 0 |
|
|
74 | 74 | for y in range(nrow): |
|
|
75 | 75 | for x in range(ncol): |
|
|
76 | 76 | |
|
|
77 | 77 | if counter >= self.nplots: |
|
|
78 | 78 | break |
|
|
79 | 79 | |
|
|
80 | 80 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan, colspan, 1) |
|
|
81 | 81 | |
|
|
82 | 82 | if showprofile: |
|
|
83 | 83 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan+colspan, 1, 1) |
|
|
84 | 84 | |
|
|
85 | 85 | counter += 1 |
|
|
86 | 86 | |
|
|
87 | 87 | def run(self, dataOut, id, wintitle="", channelList=None, showprofile=True, |
|
|
88 | 88 | xmin=None, xmax=None, ymin=None, ymax=None, zmin=None, zmax=None, |
|
|
89 | 89 | save=False, figpath='./', figfile=None, show=True, ftp=False, wr_period=1, |
|
|
90 | 90 | server=None, folder=None, username=None, password=None, |
|
|
91 | 91 | ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0, realtime=False, |
|
|
92 | 92 | xaxis="frequency", colormap='jet', normFactor=None): |
|
|
93 | 93 | |
|
|
94 | 94 | """ |
|
|
95 | 95 | |
|
|
96 | 96 | Input: |
|
|
97 | 97 | dataOut : |
|
|
98 | 98 | id : |
|
|
99 | 99 | wintitle : |
|
|
100 | 100 | channelList : |
|
|
101 | 101 | showProfile : |
|
|
102 | 102 | xmin : None, |
|
|
103 | 103 | xmax : None, |
|
|
104 | 104 | ymin : None, |
|
|
105 | 105 | ymax : None, |
|
|
106 | 106 | zmin : None, |
|
|
107 | 107 | zmax : None |
|
|
108 | 108 | """ |
|
|
109 | 109 | if dataOut.flagNoData: |
|
|
110 | 110 | return dataOut |
|
|
111 | 111 | |
|
|
112 | 112 | if realtime: |
|
|
113 | 113 | if not(isRealtime(utcdatatime = dataOut.utctime)): |
|
|
114 | 114 | print('Skipping this plot function') |
|
|
115 | 115 | return |
|
|
116 | 116 | |
|
|
117 | 117 | if channelList == None: |
|
|
118 | 118 | channelIndexList = dataOut.channelIndexList |
|
|
119 | 119 | else: |
|
|
120 | 120 | channelIndexList = [] |
|
|
121 | 121 | for channel in channelList: |
|
|
122 | 122 | if channel not in dataOut.channelList: |
|
|
123 | 123 | raise ValueError("Channel %d is not in dataOut.channelList" %channel) |
|
|
124 | 124 | channelIndexList.append(dataOut.channelList.index(channel)) |
|
|
125 | 125 | |
|
|
126 | 126 | if normFactor is None: |
|
|
127 | 127 | factor = dataOut.normFactor |
|
|
128 | 128 | else: |
|
|
129 | 129 | factor = normFactor |
|
|
130 | 130 | if xaxis == "frequency": |
|
|
131 | 131 | x = dataOut.getFreqRange(1)/1000. |
|
|
132 | 132 | xlabel = "Frequency (kHz)" |
|
|
133 | 133 | |
|
|
134 | 134 | elif xaxis == "time": |
|
|
135 | 135 | x = dataOut.getAcfRange(1) |
|
|
136 | 136 | xlabel = "Time (ms)" |
|
|
137 | 137 | |
|
|
138 | 138 | else: |
|
|
139 | 139 | x = dataOut.getVelRange(1) |
|
|
140 | 140 | xlabel = "Velocity (m/s)" |
|
|
141 | 141 | |
|
|
142 | 142 | ylabel = "Range (Km)" |
|
|
143 | 143 | |
|
|
144 | 144 | y = dataOut.getHeiRange() |
|
|
145 | 145 | |
|
|
146 | 146 | z = dataOut.data_spc/factor |
|
|
147 | 147 | z = numpy.where(numpy.isfinite(z), z, numpy.NAN) |
|
|
148 | 148 | zdB = 10*numpy.log10(z) |
|
|
149 | 149 | |
|
|
150 | 150 | avg = numpy.average(z, axis=1) |
|
|
151 | 151 | avgdB = 10*numpy.log10(avg) |
|
|
152 | 152 | |
|
|
153 | 153 | noise = dataOut.getNoise()/factor |
|
|
154 | 154 | noisedB = 10*numpy.log10(noise) |
|
|
155 | 155 | |
|
|
156 | 156 | thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.getTimeRange()[0]) |
|
|
157 | 157 | title = wintitle + " Spectra" |
|
|
158 | 158 | if ((dataOut.azimuth!=None) and (dataOut.zenith!=None)): |
|
|
159 | 159 | title = title + '_' + 'azimuth,zenith=%2.2f,%2.2f'%(dataOut.azimuth, dataOut.zenith) |
|
|
160 | 160 | |
|
|
161 | 161 | if not self.isConfig: |
|
|
162 | 162 | |
|
|
163 | 163 | nplots = len(channelIndexList) |
|
|
164 | 164 | |
|
|
165 | 165 | self.setup(id=id, |
|
|
166 | 166 | nplots=nplots, |
|
|
167 | 167 | wintitle=wintitle, |
|
|
168 | 168 | showprofile=showprofile, |
|
|
169 | 169 | show=show) |
|
|
170 | 170 | |
|
|
171 | 171 | if xmin == None: xmin = numpy.nanmin(x) |
|
|
172 | 172 | if xmax == None: xmax = numpy.nanmax(x) |
|
|
173 | 173 | if ymin == None: ymin = numpy.nanmin(y) |
|
|
174 | 174 | if ymax == None: ymax = numpy.nanmax(y) |
|
|
175 | 175 | if zmin == None: zmin = numpy.floor(numpy.nanmin(noisedB)) - 3 |
|
|
176 | 176 | if zmax == None: zmax = numpy.ceil(numpy.nanmax(avgdB)) + 3 |
|
|
177 | 177 | |
|
|
178 | 178 | self.FTP_WEI = ftp_wei |
|
|
179 | 179 | self.EXP_CODE = exp_code |
|
|
180 | 180 | self.SUB_EXP_CODE = sub_exp_code |
|
|
181 | 181 | self.PLOT_POS = plot_pos |
|
|
182 | 182 | |
|
|
183 | 183 | self.isConfig = True |
|
|
184 | 184 | |
|
|
185 | 185 | self.setWinTitle(title) |
|
|
186 | 186 | |
|
|
187 | 187 | for i in range(self.nplots): |
|
|
188 | 188 | index = channelIndexList[i] |
|
|
189 | 189 | str_datetime = '%s %s'%(thisDatetime.strftime("%Y/%m/%d"),thisDatetime.strftime("%H:%M:%S")) |
|
|
190 | 190 | title = "Channel %d: %4.2fdB: %s" %(dataOut.channelList[index], noisedB[index], str_datetime) |
|
|
191 | 191 | if len(dataOut.beam.codeList) != 0: |
|
|
192 | 192 | title = "Ch%d:%4.2fdB,%2.2f,%2.2f:%s" %(dataOut.channelList[index], noisedB[index], dataOut.beam.azimuthList[index], dataOut.beam.zenithList[index], str_datetime) |
|
|
193 | 193 | |
|
|
194 | 194 | axes = self.axesList[i*self.__nsubplots] |
|
|
195 | 195 | axes.pcolor(x, y, zdB[index,:,:], |
|
|
196 | 196 | xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, zmin=zmin, zmax=zmax, |
|
|
197 | 197 | xlabel=xlabel, ylabel=ylabel, title=title, colormap=colormap, |
|
|
198 | 198 | ticksize=9, cblabel='') |
|
|
199 | 199 | |
|
|
200 | 200 | if self.__showprofile: |
|
|
201 | 201 | axes = self.axesList[i*self.__nsubplots +1] |
|
|
202 | 202 | axes.pline(avgdB[index,:], y, |
|
|
203 | 203 | xmin=zmin, xmax=zmax, ymin=ymin, ymax=ymax, |
|
|
204 | 204 | xlabel='dB', ylabel='', title='', |
|
|
205 | 205 | ytick_visible=False, |
|
|
206 | 206 | grid='x') |
|
|
207 | 207 | |
|
|
208 | 208 | noiseline = numpy.repeat(noisedB[index], len(y)) |
|
|
209 | 209 | axes.addpline(noiseline, y, idline=1, color="black", linestyle="dashed", lw=2) |
|
|
210 | 210 | |
|
|
211 | 211 | self.draw() |
|
|
212 | 212 | |
|
|
213 | 213 | if figfile == None: |
|
|
214 | 214 | str_datetime = thisDatetime.strftime("%Y%m%d_%H%M%S") |
|
|
215 | 215 | name = str_datetime |
|
|
216 | 216 | if ((dataOut.azimuth!=None) and (dataOut.zenith!=None)): |
|
|
217 | 217 | name = name + '_az' + '_%2.2f'%(dataOut.azimuth) + '_zn' + '_%2.2f'%(dataOut.zenith) |
|
|
218 | 218 | figfile = self.getFilename(name) |
|
|
219 | 219 | |
|
|
220 | 220 | self.save(figpath=figpath, |
|
|
221 | 221 | figfile=figfile, |
|
|
222 | 222 | save=save, |
|
|
223 | 223 | ftp=ftp, |
|
|
224 | 224 | wr_period=wr_period, |
|
|
225 | 225 | thisDatetime=thisDatetime) |
|
|
226 | 226 | |
|
|
227 | 227 | return dataOut |
|
|
228 | 228 | @MPDecorator |
|
|
229 | class CrossSpectraPlot(Figure): | |
|
|
229 | class CrossSpectraPlot_(Figure): | |
|
|
230 | 230 | |
|
|
231 | 231 | isConfig = None |
|
|
232 | 232 | __nsubplots = None |
|
|
233 | 233 | |
|
|
234 | 234 | WIDTH = None |
|
|
235 | 235 | HEIGHT = None |
|
|
236 | 236 | WIDTHPROF = None |
|
|
237 | 237 | HEIGHTPROF = None |
|
|
238 | 238 | PREFIX = 'cspc' |
|
|
239 | 239 | |
|
|
240 | 240 | def __init__(self): |
|
|
241 | 241 | Figure.__init__(self) |
|
|
242 | 242 | self.isConfig = False |
|
|
243 | 243 | self.__nsubplots = 4 |
|
|
244 | 244 | self.counter_imagwr = 0 |
|
|
245 | 245 | self.WIDTH = 250 |
|
|
246 | 246 | self.HEIGHT = 250 |
|
|
247 | 247 | self.WIDTHPROF = 0 |
|
|
248 | 248 | self.HEIGHTPROF = 0 |
|
|
249 | 249 | |
|
|
250 | 250 | self.PLOT_CODE = CROSS_CODE |
|
|
251 | 251 | self.FTP_WEI = None |
|
|
252 | 252 | self.EXP_CODE = None |
|
|
253 | 253 | self.SUB_EXP_CODE = None |
|
|
254 | 254 | self.PLOT_POS = None |
|
|
255 | 255 | |
|
|
256 | 256 | def getSubplots(self): |
|
|
257 | 257 | |
|
|
258 | 258 | ncol = 4 |
|
|
259 | 259 | nrow = self.nplots |
|
|
260 | 260 | |
|
|
261 | 261 | return nrow, ncol |
|
|
262 | 262 | |
|
|
263 | 263 | def setup(self, id, nplots, wintitle, showprofile=True, show=True): |
|
|
264 | 264 | |
|
|
265 | 265 | self.__showprofile = showprofile |
|
|
266 | 266 | self.nplots = nplots |
|
|
267 | 267 | |
|
|
268 | 268 | ncolspan = 1 |
|
|
269 | 269 | colspan = 1 |
|
|
270 | 270 | |
|
|
271 | 271 | self.createFigure(id = id, |
|
|
272 | 272 | wintitle = wintitle, |
|
|
273 | 273 | widthplot = self.WIDTH + self.WIDTHPROF, |
|
|
274 | 274 | heightplot = self.HEIGHT + self.HEIGHTPROF, |
|
|
275 | 275 | show=True) |
|
|
276 | 276 | |
|
|
277 | 277 | nrow, ncol = self.getSubplots() |
|
|
278 | 278 | |
|
|
279 | 279 | counter = 0 |
|
|
280 | 280 | for y in range(nrow): |
|
|
281 | 281 | for x in range(ncol): |
|
|
282 | 282 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan, colspan, 1) |
|
|
283 | 283 | |
|
|
284 | 284 | counter += 1 |
|
|
285 | 285 | |
|
|
286 | 286 | def run(self, dataOut, id, wintitle="", pairsList=None, |
|
|
287 | 287 | xmin=None, xmax=None, ymin=None, ymax=None, zmin=None, zmax=None, |
|
|
288 | 288 | coh_min=None, coh_max=None, phase_min=None, phase_max=None, |
|
|
289 | 289 | save=False, figpath='./', figfile=None, ftp=False, wr_period=1, |
|
|
290 | 290 | power_cmap='jet', coherence_cmap='jet', phase_cmap='RdBu_r', show=True, |
|
|
291 | 291 | server=None, folder=None, username=None, password=None, |
|
|
292 | 292 | ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0, normFactor=None, |
|
|
293 | 293 | xaxis='frequency'): |
|
|
294 | 294 | |
|
|
295 | 295 | """ |
|
|
296 | 296 | |
|
|
297 | 297 | Input: |
|
|
298 | 298 | dataOut : |
|
|
299 | 299 | id : |
|
|
300 | 300 | wintitle : |
|
|
301 | 301 | channelList : |
|
|
302 | 302 | showProfile : |
|
|
303 | 303 | xmin : None, |
|
|
304 | 304 | xmax : None, |
|
|
305 | 305 | ymin : None, |
|
|
306 | 306 | ymax : None, |
|
|
307 | 307 | zmin : None, |
|
|
308 | 308 | zmax : None |
|
|
309 | 309 | """ |
|
|
310 | 310 | |
|
|
311 | 311 | if dataOut.flagNoData: |
|
|
312 | 312 | return dataOut |
|
|
313 | 313 | |
|
|
314 | 314 | if pairsList == None: |
|
|
315 | 315 | pairsIndexList = dataOut.pairsIndexList |
|
|
316 | 316 | else: |
|
|
317 | 317 | pairsIndexList = [] |
|
|
318 | 318 | for pair in pairsList: |
|
|
319 | 319 | if pair not in dataOut.pairsList: |
|
|
320 | 320 | raise ValueError("Pair %s is not in dataOut.pairsList" %str(pair)) |
|
|
321 | 321 | pairsIndexList.append(dataOut.pairsList.index(pair)) |
|
|
322 | 322 | |
|
|
323 | 323 | if not pairsIndexList: |
|
|
324 | 324 | return |
|
|
325 | 325 | |
|
|
326 | 326 | if len(pairsIndexList) > 4: |
|
|
327 | 327 | pairsIndexList = pairsIndexList[0:4] |
|
|
328 | 328 | |
|
|
329 | 329 | if normFactor is None: |
|
|
330 | 330 | factor = dataOut.normFactor |
|
|
331 | 331 | else: |
|
|
332 | 332 | factor = normFactor |
|
|
333 | 333 | x = dataOut.getVelRange(1) |
|
|
334 | 334 | y = dataOut.getHeiRange() |
|
|
335 | 335 | z = dataOut.data_spc[:,:,:]/factor |
|
|
336 | 336 | z = numpy.where(numpy.isfinite(z), z, numpy.NAN) |
|
|
337 | 337 | |
|
|
338 | 338 | noise = dataOut.noise/factor |
|
|
339 | 339 | |
|
|
340 | 340 | zdB = 10*numpy.log10(z) |
|
|
341 | 341 | noisedB = 10*numpy.log10(noise) |
|
|
342 | 342 | |
|
|
343 | 343 | if coh_min == None: |
|
|
344 | 344 | coh_min = 0.0 |
|
|
345 | 345 | if coh_max == None: |
|
|
346 | 346 | coh_max = 1.0 |
|
|
347 | 347 | |
|
|
348 | 348 | if phase_min == None: |
|
|
349 | 349 | phase_min = -180 |
|
|
350 | 350 | if phase_max == None: |
|
|
351 | 351 | phase_max = 180 |
|
|
352 | 352 | |
|
|
353 | 353 | #thisDatetime = dataOut.datatime |
|
|
354 | 354 | thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.getTimeRange()[0]) |
|
|
355 | 355 | title = wintitle + " Cross-Spectra: %s" %(thisDatetime.strftime("%d-%b-%Y %H:%M:%S")) |
|
|
356 | 356 | # xlabel = "Velocity (m/s)" |
|
|
357 | 357 | ylabel = "Range (Km)" |
|
|
358 | 358 | |
|
|
359 | 359 | if xaxis == "frequency": |
|
|
360 | 360 | x = dataOut.getFreqRange(1)/1000. |
|
|
361 | 361 | xlabel = "Frequency (kHz)" |
|
|
362 | 362 | |
|
|
363 | 363 | elif xaxis == "time": |
|
|
364 | 364 | x = dataOut.getAcfRange(1) |
|
|
365 | 365 | xlabel = "Time (ms)" |
|
|
366 | 366 | |
|
|
367 | 367 | else: |
|
|
368 | 368 | x = dataOut.getVelRange(1) |
|
|
369 | 369 | xlabel = "Velocity (m/s)" |
|
|
370 | 370 | |
|
|
371 | 371 | if not self.isConfig: |
|
|
372 | 372 | |
|
|
373 | 373 | nplots = len(pairsIndexList) |
|
|
374 | 374 | |
|
|
375 | 375 | self.setup(id=id, |
|
|
376 | 376 | nplots=nplots, |
|
|
377 | 377 | wintitle=wintitle, |
|
|
378 | 378 | showprofile=False, |
|
|
379 | 379 | show=show) |
|
|
380 | 380 | |
|
|
381 | 381 | avg = numpy.abs(numpy.average(z, axis=1)) |
|
|
382 | 382 | avgdB = 10*numpy.log10(avg) |
|
|
383 | 383 | |
|
|
384 | 384 | if xmin == None: xmin = numpy.nanmin(x) |
|
|
385 | 385 | if xmax == None: xmax = numpy.nanmax(x) |
|
|
386 | 386 | if ymin == None: ymin = numpy.nanmin(y) |
|
|
387 | 387 | if ymax == None: ymax = numpy.nanmax(y) |
|
|
388 | 388 | if zmin == None: zmin = numpy.floor(numpy.nanmin(noisedB)) - 3 |
|
|
389 | 389 | if zmax == None: zmax = numpy.ceil(numpy.nanmax(avgdB)) + 3 |
|
|
390 | 390 | |
|
|
391 | 391 | self.FTP_WEI = ftp_wei |
|
|
392 | 392 | self.EXP_CODE = exp_code |
|
|
393 | 393 | self.SUB_EXP_CODE = sub_exp_code |
|
|
394 | 394 | self.PLOT_POS = plot_pos |
|
|
395 | 395 | |
|
|
396 | 396 | self.isConfig = True |
|
|
397 | 397 | |
|
|
398 | 398 | self.setWinTitle(title) |
|
|
399 | 399 | |
|
|
400 | 400 | for i in range(self.nplots): |
|
|
401 | 401 | pair = dataOut.pairsList[pairsIndexList[i]] |
|
|
402 | 402 | |
|
|
403 | 403 | chan_index0 = dataOut.channelList.index(pair[0]) |
|
|
404 | 404 | chan_index1 = dataOut.channelList.index(pair[1]) |
|
|
405 | 405 | |
|
|
406 | 406 | str_datetime = '%s %s'%(thisDatetime.strftime("%Y/%m/%d"),thisDatetime.strftime("%H:%M:%S")) |
|
|
407 | 407 | title = "Ch%d: %4.2fdB: %s" %(pair[0], noisedB[chan_index0], str_datetime) |
|
|
408 | 408 | zdB = 10.*numpy.log10(dataOut.data_spc[chan_index0,:,:]/factor) |
|
|
409 | 409 | axes0 = self.axesList[i*self.__nsubplots] |
|
|
410 | 410 | axes0.pcolor(x, y, zdB, |
|
|
411 | 411 | xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, zmin=zmin, zmax=zmax, |
|
|
412 | 412 | xlabel=xlabel, ylabel=ylabel, title=title, |
|
|
413 | 413 | ticksize=9, colormap=power_cmap, cblabel='') |
|
|
414 | 414 | |
|
|
415 | 415 | title = "Ch%d: %4.2fdB: %s" %(pair[1], noisedB[chan_index1], str_datetime) |
|
|
416 | 416 | zdB = 10.*numpy.log10(dataOut.data_spc[chan_index1,:,:]/factor) |
|
|
417 | 417 | axes0 = self.axesList[i*self.__nsubplots+1] |
|
|
418 | 418 | axes0.pcolor(x, y, zdB, |
|
|
419 | 419 | xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, zmin=zmin, zmax=zmax, |
|
|
420 | 420 | xlabel=xlabel, ylabel=ylabel, title=title, |
|
|
421 | 421 | ticksize=9, colormap=power_cmap, cblabel='') |
|
|
422 | 422 | |
|
|
423 | 423 | coherenceComplex = dataOut.data_cspc[pairsIndexList[i],:,:]/numpy.sqrt(dataOut.data_spc[chan_index0,:,:]*dataOut.data_spc[chan_index1,:,:]) |
|
|
424 | 424 | coherence = numpy.abs(coherenceComplex) |
|
|
425 | 425 | # phase = numpy.arctan(-1*coherenceComplex.imag/coherenceComplex.real)*180/numpy.pi |
|
|
426 | 426 | phase = numpy.arctan2(coherenceComplex.imag, coherenceComplex.real)*180/numpy.pi |
|
|
427 | 427 | |
|
|
428 | 428 | title = "Coherence Ch%d * Ch%d" %(pair[0], pair[1]) |
|
|
429 | 429 | axes0 = self.axesList[i*self.__nsubplots+2] |
|
|
430 | 430 | axes0.pcolor(x, y, coherence, |
|
|
431 | 431 | xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, zmin=coh_min, zmax=coh_max, |
|
|
432 | 432 | xlabel=xlabel, ylabel=ylabel, title=title, |
|
|
433 | 433 | ticksize=9, colormap=coherence_cmap, cblabel='') |
|
|
434 | 434 | |
|
|
435 | 435 | title = "Phase Ch%d * Ch%d" %(pair[0], pair[1]) |
|
|
436 | 436 | axes0 = self.axesList[i*self.__nsubplots+3] |
|
|
437 | 437 | axes0.pcolor(x, y, phase, |
|
|
438 | 438 | xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, zmin=phase_min, zmax=phase_max, |
|
|
439 | 439 | xlabel=xlabel, ylabel=ylabel, title=title, |
|
|
440 | 440 | ticksize=9, colormap=phase_cmap, cblabel='') |
|
|
441 | 441 | |
|
|
442 | 442 | |
|
|
443 | 443 | |
|
|
444 | 444 | self.draw() |
|
|
445 | 445 | |
|
|
446 | 446 | self.save(figpath=figpath, |
|
|
447 | 447 | figfile=figfile, |
|
|
448 | 448 | save=save, |
|
|
449 | 449 | ftp=ftp, |
|
|
450 | 450 | wr_period=wr_period, |
|
|
451 | 451 | thisDatetime=thisDatetime) |
|
|
452 | 452 | |
|
|
453 | 453 | return dataOut |
|
|
454 | 454 | |
|
|
455 | 455 | @MPDecorator |
|
|
456 | class RTIPlot(Figure): | |
|
|
456 | class RTIPlot_(Figure): | |
|
|
457 | 457 | |
|
|
458 | 458 | __isConfig = None |
|
|
459 | 459 | __nsubplots = None |
|
|
460 | 460 | |
|
|
461 | 461 | WIDTHPROF = None |
|
|
462 | 462 | HEIGHTPROF = None |
|
|
463 | 463 | PREFIX = 'rti' |
|
|
464 | 464 | |
|
|
465 | 465 | def __init__(self): |
|
|
466 | 466 | |
|
|
467 | 467 | Figure.__init__(self) |
|
|
468 | 468 | self.timerange = None |
|
|
469 | 469 | self.isConfig = False |
|
|
470 | 470 | self.__nsubplots = 1 |
|
|
471 | 471 | |
|
|
472 | 472 | self.WIDTH = 800 |
|
|
473 | 473 | self.HEIGHT = 180 |
|
|
474 | 474 | self.WIDTHPROF = 120 |
|
|
475 | 475 | self.HEIGHTPROF = 0 |
|
|
476 | 476 | self.counter_imagwr = 0 |
|
|
477 | 477 | |
|
|
478 | 478 | self.PLOT_CODE = RTI_CODE |
|
|
479 | 479 | |
|
|
480 | 480 | self.FTP_WEI = None |
|
|
481 | 481 | self.EXP_CODE = None |
|
|
482 | 482 | self.SUB_EXP_CODE = None |
|
|
483 | 483 | self.PLOT_POS = None |
|
|
484 | 484 | self.tmin = None |
|
|
485 | 485 | self.tmax = None |
|
|
486 | 486 | |
|
|
487 | 487 | self.xmin = None |
|
|
488 | 488 | self.xmax = None |
|
|
489 | 489 | |
|
|
490 | 490 | self.figfile = None |
|
|
491 | 491 | |
|
|
492 | 492 | def getSubplots(self): |
|
|
493 | 493 | |
|
|
494 | 494 | ncol = 1 |
|
|
495 | 495 | nrow = self.nplots |
|
|
496 | 496 | |
|
|
497 | 497 | return nrow, ncol |
|
|
498 | 498 | |
|
|
499 | 499 | def setup(self, id, nplots, wintitle, showprofile=True, show=True): |
|
|
500 | 500 | |
|
|
501 | 501 | self.__showprofile = showprofile |
|
|
502 | 502 | self.nplots = nplots |
|
|
503 | 503 | |
|
|
504 | 504 | ncolspan = 1 |
|
|
505 | 505 | colspan = 1 |
|
|
506 | 506 | if showprofile: |
|
|
507 | 507 | ncolspan = 7 |
|
|
508 | 508 | colspan = 6 |
|
|
509 | 509 | self.__nsubplots = 2 |
|
|
510 | 510 | |
|
|
511 | 511 | self.createFigure(id = id, |
|
|
512 | 512 | wintitle = wintitle, |
|
|
513 | 513 | widthplot = self.WIDTH + self.WIDTHPROF, |
|
|
514 | 514 | heightplot = self.HEIGHT + self.HEIGHTPROF, |
|
|
515 | 515 | show=show) |
|
|
516 | 516 | |
|
|
517 | 517 | nrow, ncol = self.getSubplots() |
|
|
518 | 518 | |
|
|
519 | 519 | counter = 0 |
|
|
520 | 520 | for y in range(nrow): |
|
|
521 | 521 | for x in range(ncol): |
|
|
522 | 522 | |
|
|
523 | 523 | if counter >= self.nplots: |
|
|
524 | 524 | break |
|
|
525 | 525 | |
|
|
526 | 526 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan, colspan, 1) |
|
|
527 | 527 | |
|
|
528 | 528 | if showprofile: |
|
|
529 | 529 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan+colspan, 1, 1) |
|
|
530 | 530 | |
|
|
531 | 531 | counter += 1 |
|
|
532 | 532 | |
|
|
533 | 533 | def run(self, dataOut, id, wintitle="", channelList=None, showprofile='True', |
|
|
534 | 534 | xmin=None, xmax=None, ymin=None, ymax=None, zmin=None, zmax=None, |
|
|
535 | 535 | timerange=None, colormap='jet', |
|
|
536 | 536 | save=False, figpath='./', lastone=0,figfile=None, ftp=False, wr_period=1, show=True, |
|
|
537 | 537 | server=None, folder=None, username=None, password=None, |
|
|
538 | 538 | ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0, normFactor=None, HEIGHT=None): |
|
|
539 | 539 | |
|
|
540 | 540 | """ |
|
|
541 | 541 | |
|
|
542 | 542 | Input: |
|
|
543 | 543 | dataOut : |
|
|
544 | 544 | id : |
|
|
545 | 545 | wintitle : |
|
|
546 | 546 | channelList : |
|
|
547 | 547 | showProfile : |
|
|
548 | 548 | xmin : None, |
|
|
549 | 549 | xmax : None, |
|
|
550 | 550 | ymin : None, |
|
|
551 | 551 | ymax : None, |
|
|
552 | 552 | zmin : None, |
|
|
553 | 553 | zmax : None |
|
|
554 | 554 | """ |
|
|
555 | 555 | if dataOut.flagNoData: |
|
|
556 | 556 | return dataOut |
|
|
557 | 557 | |
|
|
558 | 558 | #colormap = kwargs.get('colormap', 'jet') |
|
|
559 | 559 | if HEIGHT is not None: |
|
|
560 | 560 | self.HEIGHT = HEIGHT |
|
|
561 | 561 | |
|
|
562 | 562 | if not isTimeInHourRange(dataOut.datatime, xmin, xmax): |
|
|
563 | 563 | return |
|
|
564 | 564 | |
|
|
565 | 565 | if channelList == None: |
|
|
566 | 566 | channelIndexList = dataOut.channelIndexList |
|
|
567 | 567 | else: |
|
|
568 | 568 | channelIndexList = [] |
|
|
569 | 569 | for channel in channelList: |
|
|
570 | 570 | if channel not in dataOut.channelList: |
|
|
571 | 571 | raise ValueError("Channel %d is not in dataOut.channelList") |
|
|
572 | 572 | channelIndexList.append(dataOut.channelList.index(channel)) |
|
|
573 | 573 | |
|
|
574 | 574 | if normFactor is None: |
|
|
575 | 575 | factor = dataOut.normFactor |
|
|
576 | 576 | else: |
|
|
577 | 577 | factor = normFactor |
|
|
578 | 578 | |
|
|
579 | 579 | #factor = dataOut.normFactor |
|
|
580 | 580 | x = dataOut.getTimeRange() |
|
|
581 | 581 | y = dataOut.getHeiRange() |
|
|
582 | 582 | |
|
|
583 | 583 | z = dataOut.data_spc/factor |
|
|
584 | 584 | z = numpy.where(numpy.isfinite(z), z, numpy.NAN) |
|
|
585 | 585 | avg = numpy.average(z, axis=1) |
|
|
586 | 586 | avgdB = 10.*numpy.log10(avg) |
|
|
587 | 587 | # avgdB = dataOut.getPower() |
|
|
588 | 588 | |
|
|
589 | 589 | |
|
|
590 | 590 | thisDatetime = dataOut.datatime |
|
|
591 | 591 | #thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.getTimeRange()[0]) |
|
|
592 | 592 | title = wintitle + " RTI" #: %s" %(thisDatetime.strftime("%d-%b-%Y")) |
|
|
593 | 593 | xlabel = "" |
|
|
594 | 594 | ylabel = "Range (Km)" |
|
|
595 | 595 | |
|
|
596 | 596 | update_figfile = False |
|
|
597 | 597 | |
|
|
598 | 598 | if self.xmax is not None and dataOut.ltctime >= self.xmax: #yong |
|
|
599 | 599 | self.counter_imagwr = wr_period |
|
|
600 | 600 | self.isConfig = False |
|
|
601 | 601 | update_figfile = True |
|
|
602 | 602 | |
|
|
603 | 603 | if not self.isConfig: |
|
|
604 | 604 | |
|
|
605 | 605 | nplots = len(channelIndexList) |
|
|
606 | 606 | |
|
|
607 | 607 | self.setup(id=id, |
|
|
608 | 608 | nplots=nplots, |
|
|
609 | 609 | wintitle=wintitle, |
|
|
610 | 610 | showprofile=showprofile, |
|
|
611 | 611 | show=show) |
|
|
612 | 612 | |
|
|
613 | 613 | if timerange != None: |
|
|
614 | 614 | self.timerange = timerange |
|
|
615 | 615 | |
|
|
616 | 616 | self.xmin, self.xmax = self.getTimeLim(x, xmin, xmax, timerange) |
|
|
617 | 617 | |
|
|
618 | 618 | noise = dataOut.noise/factor |
|
|
619 | 619 | noisedB = 10*numpy.log10(noise) |
|
|
620 | 620 | |
|
|
621 | 621 | if ymin == None: ymin = numpy.nanmin(y) |
|
|
622 | 622 | if ymax == None: ymax = numpy.nanmax(y) |
|
|
623 | 623 | if zmin == None: zmin = numpy.floor(numpy.nanmin(noisedB)) - 3 |
|
|
624 | 624 | if zmax == None: zmax = numpy.ceil(numpy.nanmax(avgdB)) + 3 |
|
|
625 | 625 | |
|
|
626 | 626 | self.FTP_WEI = ftp_wei |
|
|
627 | 627 | self.EXP_CODE = exp_code |
|
|
628 | 628 | self.SUB_EXP_CODE = sub_exp_code |
|
|
629 | 629 | self.PLOT_POS = plot_pos |
|
|
630 | 630 | |
|
|
631 | 631 | self.name = thisDatetime.strftime("%Y%m%d_%H%M%S") |
|
|
632 | 632 | self.isConfig = True |
|
|
633 | 633 | self.figfile = figfile |
|
|
634 | 634 | update_figfile = True |
|
|
635 | 635 | |
|
|
636 | 636 | self.setWinTitle(title) |
|
|
637 | 637 | |
|
|
638 | 638 | for i in range(self.nplots): |
|
|
639 | 639 | index = channelIndexList[i] |
|
|
640 | 640 | title = "Channel %d: %s" %(dataOut.channelList[index], thisDatetime.strftime("%Y/%m/%d %H:%M:%S")) |
|
|
641 | 641 | if ((dataOut.azimuth!=None) and (dataOut.zenith!=None)): |
|
|
642 | 642 | title = title + '_' + 'azimuth,zenith=%2.2f,%2.2f'%(dataOut.azimuth, dataOut.zenith) |
|
|
643 | 643 | axes = self.axesList[i*self.__nsubplots] |
|
|
644 | 644 | zdB = avgdB[index].reshape((1,-1)) |
|
|
645 | 645 | axes.pcolorbuffer(x, y, zdB, |
|
|
646 | 646 | xmin=self.xmin, xmax=self.xmax, ymin=ymin, ymax=ymax, zmin=zmin, zmax=zmax, |
|
|
647 | 647 | xlabel=xlabel, ylabel=ylabel, title=title, rti=True, XAxisAsTime=True, |
|
|
648 | 648 | ticksize=9, cblabel='', cbsize="1%", colormap=colormap) |
|
|
649 | 649 | |
|
|
650 | 650 | if self.__showprofile: |
|
|
651 | 651 | axes = self.axesList[i*self.__nsubplots +1] |
|
|
652 | 652 | axes.pline(avgdB[index], y, |
|
|
653 | 653 | xmin=zmin, xmax=zmax, ymin=ymin, ymax=ymax, |
|
|
654 | 654 | xlabel='dB', ylabel='', title='', |
|
|
655 | 655 | ytick_visible=False, |
|
|
656 | 656 | grid='x') |
|
|
657 | 657 | |
|
|
658 | 658 | self.draw() |
|
|
659 | 659 | |
|
|
660 | 660 | self.save(figpath=figpath, |
|
|
661 | 661 | figfile=figfile, |
|
|
662 | 662 | save=save, |
|
|
663 | 663 | ftp=ftp, |
|
|
664 | 664 | wr_period=wr_period, |
|
|
665 | 665 | thisDatetime=thisDatetime, |
|
|
666 | 666 | update_figfile=update_figfile) |
|
|
667 | 667 | return dataOut |
|
|
668 | 668 | |
|
|
669 | 669 | @MPDecorator |
|
|
670 | class CoherenceMap(Figure): | |
|
|
670 | class CoherenceMap_(Figure): | |
|
|
671 | 671 | isConfig = None |
|
|
672 | 672 | __nsubplots = None |
|
|
673 | 673 | |
|
|
674 | 674 | WIDTHPROF = None |
|
|
675 | 675 | HEIGHTPROF = None |
|
|
676 | 676 | PREFIX = 'cmap' |
|
|
677 | 677 | |
|
|
678 | 678 | def __init__(self): |
|
|
679 | 679 | Figure.__init__(self) |
|
|
680 | 680 | self.timerange = 2*60*60 |
|
|
681 | 681 | self.isConfig = False |
|
|
682 | 682 | self.__nsubplots = 1 |
|
|
683 | 683 | |
|
|
684 | 684 | self.WIDTH = 800 |
|
|
685 | 685 | self.HEIGHT = 180 |
|
|
686 | 686 | self.WIDTHPROF = 120 |
|
|
687 | 687 | self.HEIGHTPROF = 0 |
|
|
688 | 688 | self.counter_imagwr = 0 |
|
|
689 | 689 | |
|
|
690 | 690 | self.PLOT_CODE = COH_CODE |
|
|
691 | 691 | |
|
|
692 | 692 | self.FTP_WEI = None |
|
|
693 | 693 | self.EXP_CODE = None |
|
|
694 | 694 | self.SUB_EXP_CODE = None |
|
|
695 | 695 | self.PLOT_POS = None |
|
|
696 | 696 | self.counter_imagwr = 0 |
|
|
697 | 697 | |
|
|
698 | 698 | self.xmin = None |
|
|
699 | 699 | self.xmax = None |
|
|
700 | 700 | |
|
|
701 | 701 | def getSubplots(self): |
|
|
702 | 702 | ncol = 1 |
|
|
703 | 703 | nrow = self.nplots*2 |
|
|
704 | 704 | |
|
|
705 | 705 | return nrow, ncol |
|
|
706 | 706 | |
|
|
707 | 707 | def setup(self, id, nplots, wintitle, showprofile=True, show=True): |
|
|
708 | 708 | self.__showprofile = showprofile |
|
|
709 | 709 | self.nplots = nplots |
|
|
710 | 710 | |
|
|
711 | 711 | ncolspan = 1 |
|
|
712 | 712 | colspan = 1 |
|
|
713 | 713 | if showprofile: |
|
|
714 | 714 | ncolspan = 7 |
|
|
715 | 715 | colspan = 6 |
|
|
716 | 716 | self.__nsubplots = 2 |
|
|
717 | 717 | |
|
|
718 | 718 | self.createFigure(id = id, |
|
|
719 | 719 | wintitle = wintitle, |
|
|
720 | 720 | widthplot = self.WIDTH + self.WIDTHPROF, |
|
|
721 | 721 | heightplot = self.HEIGHT + self.HEIGHTPROF, |
|
|
722 | 722 | show=True) |
|
|
723 | 723 | |
|
|
724 | 724 | nrow, ncol = self.getSubplots() |
|
|
725 | 725 | |
|
|
726 | 726 | for y in range(nrow): |
|
|
727 | 727 | for x in range(ncol): |
|
|
728 | 728 | |
|
|
729 | 729 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan, colspan, 1) |
|
|
730 | 730 | |
|
|
731 | 731 | if showprofile: |
|
|
732 | 732 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan+colspan, 1, 1) |
|
|
733 | 733 | |
|
|
734 | 734 | def run(self, dataOut, id, wintitle="", pairsList=None, showprofile='True', |
|
|
735 | 735 | xmin=None, xmax=None, ymin=None, ymax=None, zmin=None, zmax=None, |
|
|
736 | 736 | timerange=None, phase_min=None, phase_max=None, |
|
|
737 | 737 | save=False, figpath='./', figfile=None, ftp=False, wr_period=1, |
|
|
738 | 738 | coherence_cmap='jet', phase_cmap='RdBu_r', show=True, |
|
|
739 | 739 | server=None, folder=None, username=None, password=None, |
|
|
740 | 740 | ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0): |
|
|
741 | 741 | |
|
|
742 | 742 | |
|
|
743 | 743 | if dataOut.flagNoData: |
|
|
744 | 744 | return dataOut |
|
|
745 | 745 | |
|
|
746 | 746 | if not isTimeInHourRange(dataOut.datatime, xmin, xmax): |
|
|
747 | 747 | return |
|
|
748 | 748 | |
|
|
749 | 749 | if pairsList == None: |
|
|
750 | 750 | pairsIndexList = dataOut.pairsIndexList |
|
|
751 | 751 | else: |
|
|
752 | 752 | pairsIndexList = [] |
|
|
753 | 753 | for pair in pairsList: |
|
|
754 | 754 | if pair not in dataOut.pairsList: |
|
|
755 | 755 | raise ValueError("Pair %s is not in dataOut.pairsList" %(pair)) |
|
|
756 | 756 | pairsIndexList.append(dataOut.pairsList.index(pair)) |
|
|
757 | 757 | |
|
|
758 | 758 | if pairsIndexList == []: |
|
|
759 | 759 | return |
|
|
760 | 760 | |
|
|
761 | 761 | if len(pairsIndexList) > 4: |
|
|
762 | 762 | pairsIndexList = pairsIndexList[0:4] |
|
|
763 | 763 | |
|
|
764 | 764 | if phase_min == None: |
|
|
765 | 765 | phase_min = -180 |
|
|
766 | 766 | if phase_max == None: |
|
|
767 | 767 | phase_max = 180 |
|
|
768 | 768 | |
|
|
769 | 769 | x = dataOut.getTimeRange() |
|
|
770 | 770 | y = dataOut.getHeiRange() |
|
|
771 | 771 | |
|
|
772 | 772 | thisDatetime = dataOut.datatime |
|
|
773 | 773 | |
|
|
774 | 774 | title = wintitle + " CoherenceMap" #: %s" %(thisDatetime.strftime("%d-%b-%Y")) |
|
|
775 | 775 | xlabel = "" |
|
|
776 | 776 | ylabel = "Range (Km)" |
|
|
777 | 777 | update_figfile = False |
|
|
778 | 778 | |
|
|
779 | 779 | if not self.isConfig: |
|
|
780 | 780 | nplots = len(pairsIndexList) |
|
|
781 | 781 | self.setup(id=id, |
|
|
782 | 782 | nplots=nplots, |
|
|
783 | 783 | wintitle=wintitle, |
|
|
784 | 784 | showprofile=showprofile, |
|
|
785 | 785 | show=show) |
|
|
786 | 786 | |
|
|
787 | 787 | if timerange != None: |
|
|
788 | 788 | self.timerange = timerange |
|
|
789 | 789 | |
|
|
790 | 790 | self.xmin, self.xmax = self.getTimeLim(x, xmin, xmax, timerange) |
|
|
791 | 791 | |
|
|
792 | 792 | if ymin == None: ymin = numpy.nanmin(y) |
|
|
793 | 793 | if ymax == None: ymax = numpy.nanmax(y) |
|
|
794 | 794 | if zmin == None: zmin = 0. |
|
|
795 | 795 | if zmax == None: zmax = 1. |
|
|
796 | 796 | |
|
|
797 | 797 | self.FTP_WEI = ftp_wei |
|
|
798 | 798 | self.EXP_CODE = exp_code |
|
|
799 | 799 | self.SUB_EXP_CODE = sub_exp_code |
|
|
800 | 800 | self.PLOT_POS = plot_pos |
|
|
801 | 801 | |
|
|
802 | 802 | self.name = thisDatetime.strftime("%Y%m%d_%H%M%S") |
|
|
803 | 803 | |
|
|
804 | 804 | self.isConfig = True |
|
|
805 | 805 | update_figfile = True |
|
|
806 | 806 | |
|
|
807 | 807 | self.setWinTitle(title) |
|
|
808 | 808 | |
|
|
809 | 809 | for i in range(self.nplots): |
|
|
810 | 810 | |
|
|
811 | 811 | pair = dataOut.pairsList[pairsIndexList[i]] |
|
|
812 | 812 | |
|
|
813 | 813 | ccf = numpy.average(dataOut.data_cspc[pairsIndexList[i],:,:],axis=0) |
|
|
814 | 814 | powa = numpy.average(dataOut.data_spc[pair[0],:,:],axis=0) |
|
|
815 | 815 | powb = numpy.average(dataOut.data_spc[pair[1],:,:],axis=0) |
|
|
816 | 816 | |
|
|
817 | 817 | |
|
|
818 | 818 | avgcoherenceComplex = ccf/numpy.sqrt(powa*powb) |
|
|
819 | 819 | coherence = numpy.abs(avgcoherenceComplex) |
|
|
820 | 820 | |
|
|
821 | 821 | z = coherence.reshape((1,-1)) |
|
|
822 | 822 | |
|
|
823 | 823 | counter = 0 |
|
|
824 | 824 | |
|
|
825 | 825 | title = "Coherence Ch%d * Ch%d: %s" %(pair[0], pair[1], thisDatetime.strftime("%d-%b-%Y %H:%M:%S")) |
|
|
826 | 826 | axes = self.axesList[i*self.__nsubplots*2] |
|
|
827 | 827 | axes.pcolorbuffer(x, y, z, |
|
|
828 | 828 | xmin=self.xmin, xmax=self.xmax, ymin=ymin, ymax=ymax, zmin=zmin, zmax=zmax, |
|
|
829 | 829 | xlabel=xlabel, ylabel=ylabel, title=title, rti=True, XAxisAsTime=True, |
|
|
830 | 830 | ticksize=9, cblabel='', colormap=coherence_cmap, cbsize="1%") |
|
|
831 | 831 | |
|
|
832 | 832 | if self.__showprofile: |
|
|
833 | 833 | counter += 1 |
|
|
834 | 834 | axes = self.axesList[i*self.__nsubplots*2 + counter] |
|
|
835 | 835 | axes.pline(coherence, y, |
|
|
836 | 836 | xmin=zmin, xmax=zmax, ymin=ymin, ymax=ymax, |
|
|
837 | 837 | xlabel='', ylabel='', title='', ticksize=7, |
|
|
838 | 838 | ytick_visible=False, nxticks=5, |
|
|
839 | 839 | grid='x') |
|
|
840 | 840 | |
|
|
841 | 841 | counter += 1 |
|
|
842 | 842 | |
|
|
843 | 843 | phase = numpy.arctan2(avgcoherenceComplex.imag, avgcoherenceComplex.real)*180/numpy.pi |
|
|
844 | 844 | |
|
|
845 | 845 | z = phase.reshape((1,-1)) |
|
|
846 | 846 | |
|
|
847 | 847 | title = "Phase Ch%d * Ch%d: %s" %(pair[0], pair[1], thisDatetime.strftime("%d-%b-%Y %H:%M:%S")) |
|
|
848 | 848 | axes = self.axesList[i*self.__nsubplots*2 + counter] |
|
|
849 | 849 | axes.pcolorbuffer(x, y, z, |
|
|
850 | 850 | xmin=self.xmin, xmax=self.xmax, ymin=ymin, ymax=ymax, zmin=phase_min, zmax=phase_max, |
|
|
851 | 851 | xlabel=xlabel, ylabel=ylabel, title=title, rti=True, XAxisAsTime=True, |
|
|
852 | 852 | ticksize=9, cblabel='', colormap=phase_cmap, cbsize="1%") |
|
|
853 | 853 | |
|
|
854 | 854 | if self.__showprofile: |
|
|
855 | 855 | counter += 1 |
|
|
856 | 856 | axes = self.axesList[i*self.__nsubplots*2 + counter] |
|
|
857 | 857 | axes.pline(phase, y, |
|
|
858 | 858 | xmin=phase_min, xmax=phase_max, ymin=ymin, ymax=ymax, |
|
|
859 | 859 | xlabel='', ylabel='', title='', ticksize=7, |
|
|
860 | 860 | ytick_visible=False, nxticks=4, |
|
|
861 | 861 | grid='x') |
|
|
862 | 862 | |
|
|
863 | 863 | self.draw() |
|
|
864 | 864 | |
|
|
865 | 865 | if dataOut.ltctime >= self.xmax: |
|
|
866 | 866 | self.counter_imagwr = wr_period |
|
|
867 | 867 | self.isConfig = False |
|
|
868 | 868 | update_figfile = True |
|
|
869 | 869 | |
|
|
870 | 870 | self.save(figpath=figpath, |
|
|
871 | 871 | figfile=figfile, |
|
|
872 | 872 | save=save, |
|
|
873 | 873 | ftp=ftp, |
|
|
874 | 874 | wr_period=wr_period, |
|
|
875 | 875 | thisDatetime=thisDatetime, |
|
|
876 | 876 | update_figfile=update_figfile) |
|
|
877 | 877 | |
|
|
878 | 878 | return dataOut |
|
|
879 | 879 | |
|
|
880 | 880 | @MPDecorator |
|
|
881 | class PowerProfilePlot(Figure): | |
|
|
881 | class PowerProfilePlot_(Figure): | |
|
|
882 | 882 | |
|
|
883 | 883 | isConfig = None |
|
|
884 | 884 | __nsubplots = None |
|
|
885 | 885 | |
|
|
886 | 886 | WIDTHPROF = None |
|
|
887 | 887 | HEIGHTPROF = None |
|
|
888 | 888 | PREFIX = 'spcprofile' |
|
|
889 | 889 | |
|
|
890 | 890 | def __init__(self): |
|
|
891 | 891 | Figure.__init__(self) |
|
|
892 | 892 | self.isConfig = False |
|
|
893 | 893 | self.__nsubplots = 1 |
|
|
894 | 894 | |
|
|
895 | 895 | self.PLOT_CODE = POWER_CODE |
|
|
896 | 896 | |
|
|
897 | 897 | self.WIDTH = 300 |
|
|
898 | 898 | self.HEIGHT = 500 |
|
|
899 | 899 | self.counter_imagwr = 0 |
|
|
900 | 900 | |
|
|
901 | 901 | def getSubplots(self): |
|
|
902 | 902 | ncol = 1 |
|
|
903 | 903 | nrow = 1 |
|
|
904 | 904 | |
|
|
905 | 905 | return nrow, ncol |
|
|
906 | 906 | |
|
|
907 | 907 | def setup(self, id, nplots, wintitle, show): |
|
|
908 | 908 | |
|
|
909 | 909 | self.nplots = nplots |
|
|
910 | 910 | |
|
|
911 | 911 | ncolspan = 1 |
|
|
912 | 912 | colspan = 1 |
|
|
913 | 913 | |
|
|
914 | 914 | self.createFigure(id = id, |
|
|
915 | 915 | wintitle = wintitle, |
|
|
916 | 916 | widthplot = self.WIDTH, |
|
|
917 | 917 | heightplot = self.HEIGHT, |
|
|
918 | 918 | show=show) |
|
|
919 | 919 | |
|
|
920 | 920 | nrow, ncol = self.getSubplots() |
|
|
921 | 921 | |
|
|
922 | 922 | counter = 0 |
|
|
923 | 923 | for y in range(nrow): |
|
|
924 | 924 | for x in range(ncol): |
|
|
925 | 925 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan, colspan, 1) |
|
|
926 | 926 | |
|
|
927 | 927 | def run(self, dataOut, id, wintitle="", channelList=None, |
|
|
928 | 928 | xmin=None, xmax=None, ymin=None, ymax=None, |
|
|
929 | 929 | save=False, figpath='./', figfile=None, show=True, |
|
|
930 | 930 | ftp=False, wr_period=1, server=None, |
|
|
931 | 931 | folder=None, username=None, password=None): |
|
|
932 | 932 | |
|
|
933 | 933 | if dataOut.flagNoData: |
|
|
934 | 934 | return dataOut |
|
|
935 | 935 | |
|
|
936 | 936 | |
|
|
937 | 937 | if channelList == None: |
|
|
938 | 938 | channelIndexList = dataOut.channelIndexList |
|
|
939 | 939 | channelList = dataOut.channelList |
|
|
940 | 940 | else: |
|
|
941 | 941 | channelIndexList = [] |
|
|
942 | 942 | for channel in channelList: |
|
|
943 | 943 | if channel not in dataOut.channelList: |
|
|
944 | 944 | raise ValueError("Channel %d is not in dataOut.channelList") |
|
|
945 | 945 | channelIndexList.append(dataOut.channelList.index(channel)) |
|
|
946 | 946 | |
|
|
947 | 947 | factor = dataOut.normFactor |
|
|
948 | 948 | |
|
|
949 | 949 | y = dataOut.getHeiRange() |
|
|
950 | 950 | |
|
|
951 | 951 | #for voltage |
|
|
952 | 952 | if dataOut.type == 'Voltage': |
|
|
953 | 953 | x = dataOut.data[channelIndexList,:] * numpy.conjugate(dataOut.data[channelIndexList,:]) |
|
|
954 | 954 | x = x.real |
|
|
955 | 955 | x = numpy.where(numpy.isfinite(x), x, numpy.NAN) |
|
|
956 | 956 | |
|
|
957 | 957 | #for spectra |
|
|
958 | 958 | if dataOut.type == 'Spectra': |
|
|
959 | 959 | x = dataOut.data_spc[channelIndexList,:,:]/factor |
|
|
960 | 960 | x = numpy.where(numpy.isfinite(x), x, numpy.NAN) |
|
|
961 | 961 | x = numpy.average(x, axis=1) |
|
|
962 | 962 | |
|
|
963 | 963 | |
|
|
964 | 964 | xdB = 10*numpy.log10(x) |
|
|
965 | 965 | |
|
|
966 | 966 | thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.getTimeRange()[0]) |
|
|
967 | 967 | title = wintitle + " Power Profile %s" %(thisDatetime.strftime("%d-%b-%Y")) |
|
|
968 | 968 | xlabel = "dB" |
|
|
969 | 969 | ylabel = "Range (Km)" |
|
|
970 | 970 | |
|
|
971 | 971 | if not self.isConfig: |
|
|
972 | 972 | |
|
|
973 | 973 | nplots = 1 |
|
|
974 | 974 | |
|
|
975 | 975 | self.setup(id=id, |
|
|
976 | 976 | nplots=nplots, |
|
|
977 | 977 | wintitle=wintitle, |
|
|
978 | 978 | show=show) |
|
|
979 | 979 | |
|
|
980 | 980 | if ymin == None: ymin = numpy.nanmin(y) |
|
|
981 | 981 | if ymax == None: ymax = numpy.nanmax(y) |
|
|
982 | 982 | if xmin == None: xmin = numpy.nanmin(xdB)*0.9 |
|
|
983 | 983 | if xmax == None: xmax = numpy.nanmax(xdB)*1.1 |
|
|
984 | 984 | |
|
|
985 | 985 | self.isConfig = True |
|
|
986 | 986 | |
|
|
987 | 987 | self.setWinTitle(title) |
|
|
988 | 988 | |
|
|
989 | 989 | title = "Power Profile: %s" %(thisDatetime.strftime("%d-%b-%Y %H:%M:%S")) |
|
|
990 | 990 | axes = self.axesList[0] |
|
|
991 | 991 | |
|
|
992 | 992 | legendlabels = ["channel %d"%x for x in channelList] |
|
|
993 | 993 | axes.pmultiline(xdB, y, |
|
|
994 | 994 | xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, |
|
|
995 | 995 | xlabel=xlabel, ylabel=ylabel, title=title, legendlabels=legendlabels, |
|
|
996 | 996 | ytick_visible=True, nxticks=5, |
|
|
997 | 997 | grid='x') |
|
|
998 | 998 | |
|
|
999 | 999 | self.draw() |
|
|
1000 | 1000 | |
|
|
1001 | 1001 | self.save(figpath=figpath, |
|
|
1002 | 1002 | figfile=figfile, |
|
|
1003 | 1003 | save=save, |
|
|
1004 | 1004 | ftp=ftp, |
|
|
1005 | 1005 | wr_period=wr_period, |
|
|
1006 | 1006 | thisDatetime=thisDatetime) |
|
|
1007 | 1007 | |
|
|
1008 | 1008 | return dataOut |
|
|
1009 | 1009 | |
|
|
1010 | 1010 | @MPDecorator |
|
|
1011 | class SpectraCutPlot(Figure): | |
|
|
1011 | class SpectraCutPlot_(Figure): | |
|
|
1012 | 1012 | |
|
|
1013 | 1013 | isConfig = None |
|
|
1014 | 1014 | __nsubplots = None |
|
|
1015 | 1015 | |
|
|
1016 | 1016 | WIDTHPROF = None |
|
|
1017 | 1017 | HEIGHTPROF = None |
|
|
1018 | 1018 | PREFIX = 'spc_cut' |
|
|
1019 | 1019 | |
|
|
1020 | 1020 | def __init__(self): |
|
|
1021 | 1021 | Figure.__init__(self) |
|
|
1022 | 1022 | self.isConfig = False |
|
|
1023 | 1023 | self.__nsubplots = 1 |
|
|
1024 | 1024 | |
|
|
1025 | 1025 | self.PLOT_CODE = POWER_CODE |
|
|
1026 | 1026 | |
|
|
1027 | 1027 | self.WIDTH = 700 |
|
|
1028 | 1028 | self.HEIGHT = 500 |
|
|
1029 | 1029 | self.counter_imagwr = 0 |
|
|
1030 | 1030 | |
|
|
1031 | 1031 | def getSubplots(self): |
|
|
1032 | 1032 | ncol = 1 |
|
|
1033 | 1033 | nrow = 1 |
|
|
1034 | 1034 | |
|
|
1035 | 1035 | return nrow, ncol |
|
|
1036 | 1036 | |
|
|
1037 | 1037 | def setup(self, id, nplots, wintitle, show): |
|
|
1038 | 1038 | |
|
|
1039 | 1039 | self.nplots = nplots |
|
|
1040 | 1040 | |
|
|
1041 | 1041 | ncolspan = 1 |
|
|
1042 | 1042 | colspan = 1 |
|
|
1043 | 1043 | |
|
|
1044 | 1044 | self.createFigure(id = id, |
|
|
1045 | 1045 | wintitle = wintitle, |
|
|
1046 | 1046 | widthplot = self.WIDTH, |
|
|
1047 | 1047 | heightplot = self.HEIGHT, |
|
|
1048 | 1048 | show=show) |
|
|
1049 | 1049 | |
|
|
1050 | 1050 | nrow, ncol = self.getSubplots() |
|
|
1051 | 1051 | |
|
|
1052 | 1052 | counter = 0 |
|
|
1053 | 1053 | for y in range(nrow): |
|
|
1054 | 1054 | for x in range(ncol): |
|
|
1055 | 1055 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan, colspan, 1) |
|
|
1056 | 1056 | |
|
|
1057 | 1057 | def run(self, dataOut, id, wintitle="", channelList=None, |
|
|
1058 | 1058 | xmin=None, xmax=None, ymin=None, ymax=None, |
|
|
1059 | 1059 | save=False, figpath='./', figfile=None, show=True, |
|
|
1060 | 1060 | ftp=False, wr_period=1, server=None, |
|
|
1061 | 1061 | folder=None, username=None, password=None, |
|
|
1062 | 1062 | xaxis="frequency"): |
|
|
1063 | 1063 | |
|
|
1064 | 1064 | if dataOut.flagNoData: |
|
|
1065 | 1065 | return dataOut |
|
|
1066 | 1066 | |
|
|
1067 | 1067 | if channelList == None: |
|
|
1068 | 1068 | channelIndexList = dataOut.channelIndexList |
|
|
1069 | 1069 | channelList = dataOut.channelList |
|
|
1070 | 1070 | else: |
|
|
1071 | 1071 | channelIndexList = [] |
|
|
1072 | 1072 | for channel in channelList: |
|
|
1073 | 1073 | if channel not in dataOut.channelList: |
|
|
1074 | 1074 | raise ValueError("Channel %d is not in dataOut.channelList") |
|
|
1075 | 1075 | channelIndexList.append(dataOut.channelList.index(channel)) |
|
|
1076 | 1076 | |
|
|
1077 | 1077 | factor = dataOut.normFactor |
|
|
1078 | 1078 | |
|
|
1079 | 1079 | y = dataOut.getHeiRange() |
|
|
1080 | 1080 | |
|
|
1081 | 1081 | z = dataOut.data_spc/factor |
|
|
1082 | 1082 | z = numpy.where(numpy.isfinite(z), z, numpy.NAN) |
|
|
1083 | 1083 | |
|
|
1084 | 1084 | hei_index = numpy.arange(25)*3 + 20 |
|
|
1085 | 1085 | |
|
|
1086 | 1086 | if xaxis == "frequency": |
|
|
1087 | 1087 | x = dataOut.getFreqRange()/1000. |
|
|
1088 | 1088 | zdB = 10*numpy.log10(z[0,:,hei_index]) |
|
|
1089 | 1089 | xlabel = "Frequency (kHz)" |
|
|
1090 | 1090 | ylabel = "Power (dB)" |
|
|
1091 | 1091 | |
|
|
1092 | 1092 | elif xaxis == "time": |
|
|
1093 | 1093 | x = dataOut.getAcfRange() |
|
|
1094 | 1094 | zdB = z[0,:,hei_index] |
|
|
1095 | 1095 | xlabel = "Time (ms)" |
|
|
1096 | 1096 | ylabel = "ACF" |
|
|
1097 | 1097 | |
|
|
1098 | 1098 | else: |
|
|
1099 | 1099 | x = dataOut.getVelRange() |
|
|
1100 | 1100 | zdB = 10*numpy.log10(z[0,:,hei_index]) |
|
|
1101 | 1101 | xlabel = "Velocity (m/s)" |
|
|
1102 | 1102 | ylabel = "Power (dB)" |
|
|
1103 | 1103 | |
|
|
1104 | 1104 | thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.getTimeRange()[0]) |
|
|
1105 | 1105 | title = wintitle + " Range Cuts %s" %(thisDatetime.strftime("%d-%b-%Y")) |
|
|
1106 | 1106 | |
|
|
1107 | 1107 | if not self.isConfig: |
|
|
1108 | 1108 | |
|
|
1109 | 1109 | nplots = 1 |
|
|
1110 | 1110 | |
|
|
1111 | 1111 | self.setup(id=id, |
|
|
1112 | 1112 | nplots=nplots, |
|
|
1113 | 1113 | wintitle=wintitle, |
|
|
1114 | 1114 | show=show) |
|
|
1115 | 1115 | |
|
|
1116 | 1116 | if xmin == None: xmin = numpy.nanmin(x)*0.9 |
|
|
1117 | 1117 | if xmax == None: xmax = numpy.nanmax(x)*1.1 |
|
|
1118 | 1118 | if ymin == None: ymin = numpy.nanmin(zdB) |
|
|
1119 | 1119 | if ymax == None: ymax = numpy.nanmax(zdB) |
|
|
1120 | 1120 | |
|
|
1121 | 1121 | self.isConfig = True |
|
|
1122 | 1122 | |
|
|
1123 | 1123 | self.setWinTitle(title) |
|
|
1124 | 1124 | |
|
|
1125 | 1125 | title = "Spectra Cuts: %s" %(thisDatetime.strftime("%d-%b-%Y %H:%M:%S")) |
|
|
1126 | 1126 | axes = self.axesList[0] |
|
|
1127 | 1127 | |
|
|
1128 | 1128 | legendlabels = ["Range = %dKm" %y[i] for i in hei_index] |
|
|
1129 | 1129 | |
|
|
1130 | 1130 | axes.pmultilineyaxis( x, zdB, |
|
|
1131 | 1131 | xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, |
|
|
1132 | 1132 | xlabel=xlabel, ylabel=ylabel, title=title, legendlabels=legendlabels, |
|
|
1133 | 1133 | ytick_visible=True, nxticks=5, |
|
|
1134 | 1134 | grid='x') |
|
|
1135 | 1135 | |
|
|
1136 | 1136 | self.draw() |
|
|
1137 | 1137 | |
|
|
1138 | 1138 | self.save(figpath=figpath, |
|
|
1139 | 1139 | figfile=figfile, |
|
|
1140 | 1140 | save=save, |
|
|
1141 | 1141 | ftp=ftp, |
|
|
1142 | 1142 | wr_period=wr_period, |
|
|
1143 | 1143 | thisDatetime=thisDatetime) |
|
|
1144 | 1144 | |
|
|
1145 | 1145 | return dataOut |
|
|
1146 | 1146 | |
|
|
1147 | 1147 | @MPDecorator |
|
|
1148 | class Noise(Figure): | |
|
|
1148 | class Noise_(Figure): | |
|
|
1149 | 1149 | |
|
|
1150 | 1150 | isConfig = None |
|
|
1151 | 1151 | __nsubplots = None |
|
|
1152 | 1152 | |
|
|
1153 | 1153 | PREFIX = 'noise' |
|
|
1154 | 1154 | |
|
|
1155 | 1155 | |
|
|
1156 | 1156 | def __init__(self): |
|
|
1157 | 1157 | Figure.__init__(self) |
|
|
1158 | 1158 | self.timerange = 24*60*60 |
|
|
1159 | 1159 | self.isConfig = False |
|
|
1160 | 1160 | self.__nsubplots = 1 |
|
|
1161 | 1161 | self.counter_imagwr = 0 |
|
|
1162 | 1162 | self.WIDTH = 800 |
|
|
1163 | 1163 | self.HEIGHT = 400 |
|
|
1164 | 1164 | self.WIDTHPROF = 120 |
|
|
1165 | 1165 | self.HEIGHTPROF = 0 |
|
|
1166 | 1166 | self.xdata = None |
|
|
1167 | 1167 | self.ydata = None |
|
|
1168 | 1168 | |
|
|
1169 | 1169 | self.PLOT_CODE = NOISE_CODE |
|
|
1170 | 1170 | |
|
|
1171 | 1171 | self.FTP_WEI = None |
|
|
1172 | 1172 | self.EXP_CODE = None |
|
|
1173 | 1173 | self.SUB_EXP_CODE = None |
|
|
1174 | 1174 | self.PLOT_POS = None |
|
|
1175 | 1175 | self.figfile = None |
|
|
1176 | 1176 | |
|
|
1177 | 1177 | self.xmin = None |
|
|
1178 | 1178 | self.xmax = None |
|
|
1179 | 1179 | |
|
|
1180 | 1180 | def getSubplots(self): |
|
|
1181 | 1181 | |
|
|
1182 | 1182 | ncol = 1 |
|
|
1183 | 1183 | nrow = 1 |
|
|
1184 | 1184 | |
|
|
1185 | 1185 | return nrow, ncol |
|
|
1186 | 1186 | |
|
|
1187 | 1187 | def openfile(self, filename): |
|
|
1188 | 1188 | dirname = os.path.dirname(filename) |
|
|
1189 | 1189 | |
|
|
1190 | 1190 | if not os.path.exists(dirname): |
|
|
1191 | 1191 | os.mkdir(dirname) |
|
|
1192 | 1192 | |
|
|
1193 | 1193 | f = open(filename,'w+') |
|
|
1194 | 1194 | f.write('\n\n') |
|
|
1195 | 1195 | f.write('JICAMARCA RADIO OBSERVATORY - Noise \n') |
|
|
1196 | 1196 | f.write('DD MM YYYY HH MM SS Channel0 Channel1 Channel2 Channel3\n\n' ) |
|
|
1197 | 1197 | f.close() |
|
|
1198 | 1198 | |
|
|
1199 | 1199 | def save_data(self, filename_phase, data, data_datetime): |
|
|
1200 | 1200 | |
|
|
1201 | 1201 | f=open(filename_phase,'a') |
|
|
1202 | 1202 | |
|
|
1203 | 1203 | timetuple_data = data_datetime.timetuple() |
|
|
1204 | 1204 | day = str(timetuple_data.tm_mday) |
|
|
1205 | 1205 | month = str(timetuple_data.tm_mon) |
|
|
1206 | 1206 | year = str(timetuple_data.tm_year) |
|
|
1207 | 1207 | hour = str(timetuple_data.tm_hour) |
|
|
1208 | 1208 | minute = str(timetuple_data.tm_min) |
|
|
1209 | 1209 | second = str(timetuple_data.tm_sec) |
|
|
1210 | 1210 | |
|
|
1211 | 1211 | data_msg = '' |
|
|
1212 | 1212 | for i in range(len(data)): |
|
|
1213 | 1213 | data_msg += str(data[i]) + ' ' |
|
|
1214 | 1214 | |
|
|
1215 | 1215 | f.write(day+' '+month+' '+year+' '+hour+' '+minute+' '+second+' ' + data_msg + '\n') |
|
|
1216 | 1216 | f.close() |
|
|
1217 | 1217 | |
|
|
1218 | 1218 | |
|
|
1219 | 1219 | def setup(self, id, nplots, wintitle, showprofile=True, show=True): |
|
|
1220 | 1220 | |
|
|
1221 | 1221 | self.__showprofile = showprofile |
|
|
1222 | 1222 | self.nplots = nplots |
|
|
1223 | 1223 | |
|
|
1224 | 1224 | ncolspan = 7 |
|
|
1225 | 1225 | colspan = 6 |
|
|
1226 | 1226 | self.__nsubplots = 2 |
|
|
1227 | 1227 | |
|
|
1228 | 1228 | self.createFigure(id = id, |
|
|
1229 | 1229 | wintitle = wintitle, |
|
|
1230 | 1230 | widthplot = self.WIDTH+self.WIDTHPROF, |
|
|
1231 | 1231 | heightplot = self.HEIGHT+self.HEIGHTPROF, |
|
|
1232 | 1232 | show=show) |
|
|
1233 | 1233 | |
|
|
1234 | 1234 | nrow, ncol = self.getSubplots() |
|
|
1235 | 1235 | |
|
|
1236 | 1236 | self.addAxes(nrow, ncol*ncolspan, 0, 0, colspan, 1) |
|
|
1237 | 1237 | |
|
|
1238 | 1238 | |
|
|
1239 | 1239 | def run(self, dataOut, id, wintitle="", channelList=None, showprofile='True', |
|
|
1240 | 1240 | xmin=None, xmax=None, ymin=None, ymax=None, |
|
|
1241 | 1241 | timerange=None, |
|
|
1242 | 1242 | save=False, figpath='./', figfile=None, show=True, ftp=False, wr_period=1, |
|
|
1243 | 1243 | server=None, folder=None, username=None, password=None, |
|
|
1244 | 1244 | ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0): |
|
|
1245 | 1245 | |
|
|
1246 | 1246 | if dataOut.flagNoData: |
|
|
1247 | 1247 | return dataOut |
|
|
1248 | 1248 | |
|
|
1249 | 1249 | if not isTimeInHourRange(dataOut.datatime, xmin, xmax): |
|
|
1250 | 1250 | return |
|
|
1251 | 1251 | |
|
|
1252 | 1252 | if channelList == None: |
|
|
1253 | 1253 | channelIndexList = dataOut.channelIndexList |
|
|
1254 | 1254 | channelList = dataOut.channelList |
|
|
1255 | 1255 | else: |
|
|
1256 | 1256 | channelIndexList = [] |
|
|
1257 | 1257 | for channel in channelList: |
|
|
1258 | 1258 | if channel not in dataOut.channelList: |
|
|
1259 | 1259 | raise ValueError("Channel %d is not in dataOut.channelList") |
|
|
1260 | 1260 | channelIndexList.append(dataOut.channelList.index(channel)) |
|
|
1261 | 1261 | |
|
|
1262 | 1262 | x = dataOut.getTimeRange() |
|
|
1263 | 1263 | #y = dataOut.getHeiRange() |
|
|
1264 | 1264 | factor = dataOut.normFactor |
|
|
1265 | 1265 | noise = dataOut.noise[channelIndexList]/factor |
|
|
1266 | 1266 | noisedB = 10*numpy.log10(noise) |
|
|
1267 | 1267 | |
|
|
1268 | 1268 | thisDatetime = dataOut.datatime |
|
|
1269 | 1269 | |
|
|
1270 | 1270 | title = wintitle + " Noise" # : %s" %(thisDatetime.strftime("%d-%b-%Y")) |
|
|
1271 | 1271 | xlabel = "" |
|
|
1272 | 1272 | ylabel = "Intensity (dB)" |
|
|
1273 | 1273 | update_figfile = False |
|
|
1274 | 1274 | |
|
|
1275 | 1275 | if not self.isConfig: |
|
|
1276 | 1276 | |
|
|
1277 | 1277 | nplots = 1 |
|
|
1278 | 1278 | |
|
|
1279 | 1279 | self.setup(id=id, |
|
|
1280 | 1280 | nplots=nplots, |
|
|
1281 | 1281 | wintitle=wintitle, |
|
|
1282 | 1282 | showprofile=showprofile, |
|
|
1283 | 1283 | show=show) |
|
|
1284 | 1284 | |
|
|
1285 | 1285 | if timerange != None: |
|
|
1286 | 1286 | self.timerange = timerange |
|
|
1287 | 1287 | |
|
|
1288 | 1288 | self.xmin, self.xmax = self.getTimeLim(x, xmin, xmax, timerange) |
|
|
1289 | 1289 | |
|
|
1290 | 1290 | if ymin == None: ymin = numpy.floor(numpy.nanmin(noisedB)) - 10.0 |
|
|
1291 | 1291 | if ymax == None: ymax = numpy.nanmax(noisedB) + 10.0 |
|
|
1292 | 1292 | |
|
|
1293 | 1293 | self.FTP_WEI = ftp_wei |
|
|
1294 | 1294 | self.EXP_CODE = exp_code |
|
|
1295 | 1295 | self.SUB_EXP_CODE = sub_exp_code |
|
|
1296 | 1296 | self.PLOT_POS = plot_pos |
|
|
1297 | 1297 | |
|
|
1298 | 1298 | |
|
|
1299 | 1299 | self.name = thisDatetime.strftime("%Y%m%d_%H%M%S") |
|
|
1300 | 1300 | self.isConfig = True |
|
|
1301 | 1301 | self.figfile = figfile |
|
|
1302 | 1302 | self.xdata = numpy.array([]) |
|
|
1303 | 1303 | self.ydata = numpy.array([]) |
|
|
1304 | 1304 | |
|
|
1305 | 1305 | update_figfile = True |
|
|
1306 | 1306 | |
|
|
1307 | 1307 | #open file beacon phase |
|
|
1308 | 1308 | path = '%s%03d' %(self.PREFIX, self.id) |
|
|
1309 | 1309 | noise_file = os.path.join(path,'%s.txt'%self.name) |
|
|
1310 | 1310 | self.filename_noise = os.path.join(figpath,noise_file) |
|
|
1311 | 1311 | |
|
|
1312 | 1312 | self.setWinTitle(title) |
|
|
1313 | 1313 | |
|
|
1314 | 1314 | title = "Noise %s" %(thisDatetime.strftime("%Y/%m/%d %H:%M:%S")) |
|
|
1315 | 1315 | |
|
|
1316 | 1316 | legendlabels = ["channel %d"%(idchannel) for idchannel in channelList] |
|
|
1317 | 1317 | axes = self.axesList[0] |
|
|
1318 | 1318 | |
|
|
1319 | 1319 | self.xdata = numpy.hstack((self.xdata, x[0:1])) |
|
|
1320 | 1320 | |
|
|
1321 | 1321 | if len(self.ydata)==0: |
|
|
1322 | 1322 | self.ydata = noisedB.reshape(-1,1) |
|
|
1323 | 1323 | else: |
|
|
1324 | 1324 | self.ydata = numpy.hstack((self.ydata, noisedB.reshape(-1,1))) |
|
|
1325 | 1325 | |
|
|
1326 | 1326 | |
|
|
1327 | 1327 | axes.pmultilineyaxis(x=self.xdata, y=self.ydata, |
|
|
1328 | 1328 | xmin=self.xmin, xmax=self.xmax, ymin=ymin, ymax=ymax, |
|
|
1329 | 1329 | xlabel=xlabel, ylabel=ylabel, title=title, legendlabels=legendlabels, marker='x', markersize=8, linestyle="solid", |
|
|
1330 | 1330 | XAxisAsTime=True, grid='both' |
|
|
1331 | 1331 | ) |
|
|
1332 | 1332 | |
|
|
1333 | 1333 | self.draw() |
|
|
1334 | 1334 | |
|
|
1335 | 1335 | if dataOut.ltctime >= self.xmax: |
|
|
1336 | 1336 | self.counter_imagwr = wr_period |
|
|
1337 | 1337 | self.isConfig = False |
|
|
1338 | 1338 | update_figfile = True |
|
|
1339 | 1339 | |
|
|
1340 | 1340 | self.save(figpath=figpath, |
|
|
1341 | 1341 | figfile=figfile, |
|
|
1342 | 1342 | save=save, |
|
|
1343 | 1343 | ftp=ftp, |
|
|
1344 | 1344 | wr_period=wr_period, |
|
|
1345 | 1345 | thisDatetime=thisDatetime, |
|
|
1346 | 1346 | update_figfile=update_figfile) |
|
|
1347 | 1347 | |
|
|
1348 | 1348 | #store data beacon phase |
|
|
1349 | 1349 | if save: |
|
|
1350 | 1350 | self.save_data(self.filename_noise, noisedB, thisDatetime) |
|
|
1351 | 1351 | |
|
|
1352 | 1352 | return dataOut |
|
|
1353 | 1353 | |
|
|
1354 | 1354 | @MPDecorator |
|
|
1355 | class BeaconPhase(Figure): | |
|
|
1355 | class BeaconPhase_(Figure): | |
|
|
1356 | 1356 | |
|
|
1357 | 1357 | __isConfig = None |
|
|
1358 | 1358 | __nsubplots = None |
|
|
1359 | 1359 | |
|
|
1360 | 1360 | PREFIX = 'beacon_phase' |
|
|
1361 | 1361 | |
|
|
1362 | 1362 | def __init__(self): |
|
|
1363 | 1363 | Figure.__init__(self) |
|
|
1364 | 1364 | self.timerange = 24*60*60 |
|
|
1365 | 1365 | self.isConfig = False |
|
|
1366 | 1366 | self.__nsubplots = 1 |
|
|
1367 | 1367 | self.counter_imagwr = 0 |
|
|
1368 | 1368 | self.WIDTH = 800 |
|
|
1369 | 1369 | self.HEIGHT = 400 |
|
|
1370 | 1370 | self.WIDTHPROF = 120 |
|
|
1371 | 1371 | self.HEIGHTPROF = 0 |
|
|
1372 | 1372 | self.xdata = None |
|
|
1373 | 1373 | self.ydata = None |
|
|
1374 | 1374 | |
|
|
1375 | 1375 | self.PLOT_CODE = BEACON_CODE |
|
|
1376 | 1376 | |
|
|
1377 | 1377 | self.FTP_WEI = None |
|
|
1378 | 1378 | self.EXP_CODE = None |
|
|
1379 | 1379 | self.SUB_EXP_CODE = None |
|
|
1380 | 1380 | self.PLOT_POS = None |
|
|
1381 | 1381 | |
|
|
1382 | 1382 | self.filename_phase = None |
|
|
1383 | 1383 | |
|
|
1384 | 1384 | self.figfile = None |
|
|
1385 | 1385 | |
|
|
1386 | 1386 | self.xmin = None |
|
|
1387 | 1387 | self.xmax = None |
|
|
1388 | 1388 | |
|
|
1389 | 1389 | def getSubplots(self): |
|
|
1390 | 1390 | |
|
|
1391 | 1391 | ncol = 1 |
|
|
1392 | 1392 | nrow = 1 |
|
|
1393 | 1393 | |
|
|
1394 | 1394 | return nrow, ncol |
|
|
1395 | 1395 | |
|
|
1396 | 1396 | def setup(self, id, nplots, wintitle, showprofile=True, show=True): |
|
|
1397 | 1397 | |
|
|
1398 | 1398 | self.__showprofile = showprofile |
|
|
1399 | 1399 | self.nplots = nplots |
|
|
1400 | 1400 | |
|
|
1401 | 1401 | ncolspan = 7 |
|
|
1402 | 1402 | colspan = 6 |
|
|
1403 | 1403 | self.__nsubplots = 2 |
|
|
1404 | 1404 | |
|
|
1405 | 1405 | self.createFigure(id = id, |
|
|
1406 | 1406 | wintitle = wintitle, |
|
|
1407 | 1407 | widthplot = self.WIDTH+self.WIDTHPROF, |
|
|
1408 | 1408 | heightplot = self.HEIGHT+self.HEIGHTPROF, |
|
|
1409 | 1409 | show=show) |
|
|
1410 | 1410 | |
|
|
1411 | 1411 | nrow, ncol = self.getSubplots() |
|
|
1412 | 1412 | |
|
|
1413 | 1413 | self.addAxes(nrow, ncol*ncolspan, 0, 0, colspan, 1) |
|
|
1414 | 1414 | |
|
|
1415 | 1415 | def save_phase(self, filename_phase): |
|
|
1416 | 1416 | f = open(filename_phase,'w+') |
|
|
1417 | 1417 | f.write('\n\n') |
|
|
1418 | 1418 | f.write('JICAMARCA RADIO OBSERVATORY - Beacon Phase \n') |
|
|
1419 | 1419 | f.write('DD MM YYYY HH MM SS pair(2,0) pair(2,1) pair(2,3) pair(2,4)\n\n' ) |
|
|
1420 | 1420 | f.close() |
|
|
1421 | 1421 | |
|
|
1422 | 1422 | def save_data(self, filename_phase, data, data_datetime): |
|
|
1423 | 1423 | f=open(filename_phase,'a') |
|
|
1424 | 1424 | timetuple_data = data_datetime.timetuple() |
|
|
1425 | 1425 | day = str(timetuple_data.tm_mday) |
|
|
1426 | 1426 | month = str(timetuple_data.tm_mon) |
|
|
1427 | 1427 | year = str(timetuple_data.tm_year) |
|
|
1428 | 1428 | hour = str(timetuple_data.tm_hour) |
|
|
1429 | 1429 | minute = str(timetuple_data.tm_min) |
|
|
1430 | 1430 | second = str(timetuple_data.tm_sec) |
|
|
1431 | 1431 | f.write(day+' '+month+' '+year+' '+hour+' '+minute+' '+second+' '+str(data[0])+' '+str(data[1])+' '+str(data[2])+' '+str(data[3])+'\n') |
|
|
1432 | 1432 | f.close() |
|
|
1433 | 1433 | |
|
|
1434 | 1434 | |
|
|
1435 | 1435 | def run(self, dataOut, id, wintitle="", pairsList=None, showprofile='True', |
|
|
1436 | 1436 | xmin=None, xmax=None, ymin=None, ymax=None, hmin=None, hmax=None, |
|
|
1437 | 1437 | timerange=None, |
|
|
1438 | 1438 | save=False, figpath='./', figfile=None, show=True, ftp=False, wr_period=1, |
|
|
1439 | 1439 | server=None, folder=None, username=None, password=None, |
|
|
1440 | 1440 | ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0): |
|
|
1441 | 1441 | |
|
|
1442 | 1442 | if dataOut.flagNoData: |
|
|
1443 | 1443 | return dataOut |
|
|
1444 | 1444 | |
|
|
1445 | 1445 | if not isTimeInHourRange(dataOut.datatime, xmin, xmax): |
|
|
1446 | 1446 | return |
|
|
1447 | 1447 | |
|
|
1448 | 1448 | if pairsList == None: |
|
|
1449 | 1449 | pairsIndexList = dataOut.pairsIndexList[:10] |
|
|
1450 | 1450 | else: |
|
|
1451 | 1451 | pairsIndexList = [] |
|
|
1452 | 1452 | for pair in pairsList: |
|
|
1453 | 1453 | if pair not in dataOut.pairsList: |
|
|
1454 | 1454 | raise ValueError("Pair %s is not in dataOut.pairsList" %(pair)) |
|
|
1455 | 1455 | pairsIndexList.append(dataOut.pairsList.index(pair)) |
|
|
1456 | 1456 | |
|
|
1457 | 1457 | if pairsIndexList == []: |
|
|
1458 | 1458 | return |
|
|
1459 | 1459 | |
|
|
1460 | 1460 | # if len(pairsIndexList) > 4: |
|
|
1461 | 1461 | # pairsIndexList = pairsIndexList[0:4] |
|
|
1462 | 1462 | |
|
|
1463 | 1463 | hmin_index = None |
|
|
1464 | 1464 | hmax_index = None |
|
|
1465 | 1465 | |
|
|
1466 | 1466 | if hmin != None and hmax != None: |
|
|
1467 | 1467 | indexes = numpy.arange(dataOut.nHeights) |
|
|
1468 | 1468 | hmin_list = indexes[dataOut.heightList >= hmin] |
|
|
1469 | 1469 | hmax_list = indexes[dataOut.heightList <= hmax] |
|
|
1470 | 1470 | |
|
|
1471 | 1471 | if hmin_list.any(): |
|
|
1472 | 1472 | hmin_index = hmin_list[0] |
|
|
1473 | 1473 | |
|
|
1474 | 1474 | if hmax_list.any(): |
|
|
1475 | 1475 | hmax_index = hmax_list[-1]+1 |
|
|
1476 | 1476 | |
|
|
1477 | 1477 | x = dataOut.getTimeRange() |
|
|
1478 | 1478 | #y = dataOut.getHeiRange() |
|
|
1479 | 1479 | |
|
|
1480 | 1480 | |
|
|
1481 | 1481 | thisDatetime = dataOut.datatime |
|
|
1482 | 1482 | |
|
|
1483 | 1483 | title = wintitle + " Signal Phase" # : %s" %(thisDatetime.strftime("%d-%b-%Y")) |
|
|
1484 | 1484 | xlabel = "Local Time" |
|
|
1485 | 1485 | ylabel = "Phase (degrees)" |
|
|
1486 | 1486 | |
|
|
1487 | 1487 | update_figfile = False |
|
|
1488 | 1488 | |
|
|
1489 | 1489 | nplots = len(pairsIndexList) |
|
|
1490 | 1490 | #phase = numpy.zeros((len(pairsIndexList),len(dataOut.beacon_heiIndexList))) |
|
|
1491 | 1491 | phase_beacon = numpy.zeros(len(pairsIndexList)) |
|
|
1492 | 1492 | for i in range(nplots): |
|
|
1493 | 1493 | pair = dataOut.pairsList[pairsIndexList[i]] |
|
|
1494 | 1494 | ccf = numpy.average(dataOut.data_cspc[pairsIndexList[i], :, hmin_index:hmax_index], axis=0) |
|
|
1495 | 1495 | powa = numpy.average(dataOut.data_spc[pair[0], :, hmin_index:hmax_index], axis=0) |
|
|
1496 | 1496 | powb = numpy.average(dataOut.data_spc[pair[1], :, hmin_index:hmax_index], axis=0) |
|
|
1497 | 1497 | avgcoherenceComplex = ccf/numpy.sqrt(powa*powb) |
|
|
1498 | 1498 | phase = numpy.arctan2(avgcoherenceComplex.imag, avgcoherenceComplex.real)*180/numpy.pi |
|
|
1499 | 1499 | |
|
|
1500 | 1500 | #print "Phase %d%d" %(pair[0], pair[1]) |
|
|
1501 | 1501 | #print phase[dataOut.beacon_heiIndexList] |
|
|
1502 | 1502 | |
|
|
1503 | 1503 | if dataOut.beacon_heiIndexList: |
|
|
1504 | 1504 | phase_beacon[i] = numpy.average(phase[dataOut.beacon_heiIndexList]) |
|
|
1505 | 1505 | else: |
|
|
1506 | 1506 | phase_beacon[i] = numpy.average(phase) |
|
|
1507 | 1507 | |
|
|
1508 | 1508 | if not self.isConfig: |
|
|
1509 | 1509 | |
|
|
1510 | 1510 | nplots = len(pairsIndexList) |
|
|
1511 | 1511 | |
|
|
1512 | 1512 | self.setup(id=id, |
|
|
1513 | 1513 | nplots=nplots, |
|
|
1514 | 1514 | wintitle=wintitle, |
|
|
1515 | 1515 | showprofile=showprofile, |
|
|
1516 | 1516 | show=show) |
|
|
1517 | 1517 | |
|
|
1518 | 1518 | if timerange != None: |
|
|
1519 | 1519 | self.timerange = timerange |
|
|
1520 | 1520 | |
|
|
1521 | 1521 | self.xmin, self.xmax = self.getTimeLim(x, xmin, xmax, timerange) |
|
|
1522 | 1522 | |
|
|
1523 | 1523 | if ymin == None: ymin = 0 |
|
|
1524 | 1524 | if ymax == None: ymax = 360 |
|
|
1525 | 1525 | |
|
|
1526 | 1526 | self.FTP_WEI = ftp_wei |
|
|
1527 | 1527 | self.EXP_CODE = exp_code |
|
|
1528 | 1528 | self.SUB_EXP_CODE = sub_exp_code |
|
|
1529 | 1529 | self.PLOT_POS = plot_pos |
|
|
1530 | 1530 | |
|
|
1531 | 1531 | self.name = thisDatetime.strftime("%Y%m%d_%H%M%S") |
|
|
1532 | 1532 | self.isConfig = True |
|
|
1533 | 1533 | self.figfile = figfile |
|
|
1534 | 1534 | self.xdata = numpy.array([]) |
|
|
1535 | 1535 | self.ydata = numpy.array([]) |
|
|
1536 | 1536 | |
|
|
1537 | 1537 | update_figfile = True |
|
|
1538 | 1538 | |
|
|
1539 | 1539 | #open file beacon phase |
|
|
1540 | 1540 | path = '%s%03d' %(self.PREFIX, self.id) |
|
|
1541 | 1541 | beacon_file = os.path.join(path,'%s.txt'%self.name) |
|
|
1542 | 1542 | self.filename_phase = os.path.join(figpath,beacon_file) |
|
|
1543 | 1543 | #self.save_phase(self.filename_phase) |
|
|
1544 | 1544 | |
|
|
1545 | 1545 | |
|
|
1546 | 1546 | #store data beacon phase |
|
|
1547 | 1547 | #self.save_data(self.filename_phase, phase_beacon, thisDatetime) |
|
|
1548 | 1548 | |
|
|
1549 | 1549 | self.setWinTitle(title) |
|
|
1550 | 1550 | |
|
|
1551 | 1551 | |
|
|
1552 | 1552 | title = "Phase Plot %s" %(thisDatetime.strftime("%Y/%m/%d %H:%M:%S")) |
|
|
1553 | 1553 | |
|
|
1554 | 1554 | legendlabels = ["Pair (%d,%d)"%(pair[0], pair[1]) for pair in dataOut.pairsList] |
|
|
1555 | 1555 | |
|
|
1556 | 1556 | axes = self.axesList[0] |
|
|
1557 | 1557 | |
|
|
1558 | 1558 | self.xdata = numpy.hstack((self.xdata, x[0:1])) |
|
|
1559 | 1559 | |
|
|
1560 | 1560 | if len(self.ydata)==0: |
|
|
1561 | 1561 | self.ydata = phase_beacon.reshape(-1,1) |
|
|
1562 | 1562 | else: |
|
|
1563 | 1563 | self.ydata = numpy.hstack((self.ydata, phase_beacon.reshape(-1,1))) |
|
|
1564 | 1564 | |
|
|
1565 | 1565 | |
|
|
1566 | 1566 | axes.pmultilineyaxis(x=self.xdata, y=self.ydata, |
|
|
1567 | 1567 | xmin=self.xmin, xmax=self.xmax, ymin=ymin, ymax=ymax, |
|
|
1568 | 1568 | xlabel=xlabel, ylabel=ylabel, title=title, legendlabels=legendlabels, marker='x', markersize=8, linestyle="solid", |
|
|
1569 | 1569 | XAxisAsTime=True, grid='both' |
|
|
1570 | 1570 | ) |
|
|
1571 | 1571 | |
|
|
1572 | 1572 | self.draw() |
|
|
1573 | 1573 | |
|
|
1574 | 1574 | if dataOut.ltctime >= self.xmax: |
|
|
1575 | 1575 | self.counter_imagwr = wr_period |
|
|
1576 | 1576 | self.isConfig = False |
|
|
1577 | 1577 | update_figfile = True |
|
|
1578 | 1578 | |
|
|
1579 | 1579 | self.save(figpath=figpath, |
|
|
1580 | 1580 | figfile=figfile, |
|
|
1581 | 1581 | save=save, |
|
|
1582 | 1582 | ftp=ftp, |
|
|
1583 | 1583 | wr_period=wr_period, |
|
|
1584 | 1584 | thisDatetime=thisDatetime, |
|
|
1585 | 1585 | update_figfile=update_figfile) |
|
|
1586 | 1586 | |
|
|
1587 | 1587 | return dataOut No newline at end of file |
| @@ -1,232 +1,232 | |||
|
|
1 | 1 | ''' |
|
|
2 | 2 | Created on Jul 9, 2014 |
|
|
3 | 3 | |
|
|
4 | 4 | @author: roj-idl71 |
|
|
5 | 5 | ''' |
|
|
6 | 6 | import os |
|
|
7 | 7 | import datetime |
|
|
8 | 8 | import numpy |
|
|
9 | 9 | from schainpy.model.proc.jroproc_base import ProcessingUnit, Operation, MPDecorator #YONG |
|
|
10 | 10 | from schainpy.utils import log |
|
|
11 | 11 | from .figure import Figure |
|
|
12 | 12 | |
|
|
13 | 13 | |
|
|
14 | 14 | @MPDecorator |
|
|
15 | class Scope(Figure): | |
|
|
15 | class Scope_(Figure): | |
|
|
16 | 16 | |
|
|
17 | 17 | isConfig = None |
|
|
18 | 18 | |
|
|
19 | 19 | def __init__(self):#, **kwargs): #YONG |
|
|
20 | 20 | Figure.__init__(self)#, **kwargs) |
|
|
21 | 21 | self.isConfig = False |
|
|
22 | 22 | self.WIDTH = 300 |
|
|
23 | 23 | self.HEIGHT = 200 |
|
|
24 | 24 | self.counter_imagwr = 0 |
|
|
25 | 25 | |
|
|
26 | 26 | def getSubplots(self): |
|
|
27 | 27 | |
|
|
28 | 28 | nrow = self.nplots |
|
|
29 | 29 | ncol = 3 |
|
|
30 | 30 | return nrow, ncol |
|
|
31 | 31 | |
|
|
32 | 32 | def setup(self, id, nplots, wintitle, show): |
|
|
33 | 33 | |
|
|
34 | 34 | self.nplots = nplots |
|
|
35 | 35 | |
|
|
36 | 36 | self.createFigure(id=id, |
|
|
37 | 37 | wintitle=wintitle, |
|
|
38 | 38 | show=show) |
|
|
39 | 39 | |
|
|
40 | 40 | nrow,ncol = self.getSubplots() |
|
|
41 | 41 | colspan = 3 |
|
|
42 | 42 | rowspan = 1 |
|
|
43 | 43 | |
|
|
44 | 44 | for i in range(nplots): |
|
|
45 | 45 | self.addAxes(nrow, ncol, i, 0, colspan, rowspan) |
|
|
46 | 46 | |
|
|
47 | 47 | def plot_iq(self, x, y, id, channelIndexList, thisDatetime, wintitle, show, xmin, xmax, ymin, ymax): |
|
|
48 | 48 | yreal = y[channelIndexList,:].real |
|
|
49 | 49 | yimag = y[channelIndexList,:].imag |
|
|
50 | 50 | |
|
|
51 | 51 | title = wintitle + " Scope: %s" %(thisDatetime.strftime("%d-%b-%Y %H:%M:%S")) |
|
|
52 | 52 | xlabel = "Range (Km)" |
|
|
53 | 53 | ylabel = "Intensity - IQ" |
|
|
54 | 54 | |
|
|
55 | 55 | if not self.isConfig: |
|
|
56 | 56 | nplots = len(channelIndexList) |
|
|
57 | 57 | |
|
|
58 | 58 | self.setup(id=id, |
|
|
59 | 59 | nplots=nplots, |
|
|
60 | 60 | wintitle='', |
|
|
61 | 61 | show=show) |
|
|
62 | 62 | |
|
|
63 | 63 | if xmin == None: xmin = numpy.nanmin(x) |
|
|
64 | 64 | if xmax == None: xmax = numpy.nanmax(x) |
|
|
65 | 65 | if ymin == None: ymin = min(numpy.nanmin(yreal),numpy.nanmin(yimag)) |
|
|
66 | 66 | if ymax == None: ymax = max(numpy.nanmax(yreal),numpy.nanmax(yimag)) |
|
|
67 | 67 | |
|
|
68 | 68 | self.isConfig = True |
|
|
69 | 69 | |
|
|
70 | 70 | self.setWinTitle(title) |
|
|
71 | 71 | |
|
|
72 | 72 | for i in range(len(self.axesList)): |
|
|
73 | 73 | title = "Channel %d" %(i) |
|
|
74 | 74 | axes = self.axesList[i] |
|
|
75 | 75 | |
|
|
76 | 76 | axes.pline(x, yreal[i,:], |
|
|
77 | 77 | xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, |
|
|
78 | 78 | xlabel=xlabel, ylabel=ylabel, title=title) |
|
|
79 | 79 | |
|
|
80 | 80 | axes.addpline(x, yimag[i,:], idline=1, color="red", linestyle="solid", lw=2) |
|
|
81 | 81 | |
|
|
82 | 82 | def plot_power(self, x, y, id, channelIndexList, thisDatetime, wintitle, show, xmin, xmax, ymin, ymax): |
|
|
83 | 83 | y = y[channelIndexList,:] * numpy.conjugate(y[channelIndexList,:]) |
|
|
84 | 84 | yreal = y.real |
|
|
85 | 85 | |
|
|
86 | 86 | title = wintitle + " Scope: %s" %(thisDatetime.strftime("%d-%b-%Y %H:%M:%S")) |
|
|
87 | 87 | xlabel = "Range (Km)" |
|
|
88 | 88 | ylabel = "Intensity" |
|
|
89 | 89 | |
|
|
90 | 90 | if not self.isConfig: |
|
|
91 | 91 | nplots = len(channelIndexList) |
|
|
92 | 92 | |
|
|
93 | 93 | self.setup(id=id, |
|
|
94 | 94 | nplots=nplots, |
|
|
95 | 95 | wintitle='', |
|
|
96 | 96 | show=show) |
|
|
97 | 97 | |
|
|
98 | 98 | if xmin == None: xmin = numpy.nanmin(x) |
|
|
99 | 99 | if xmax == None: xmax = numpy.nanmax(x) |
|
|
100 | 100 | if ymin == None: ymin = numpy.nanmin(yreal) |
|
|
101 | 101 | if ymax == None: ymax = numpy.nanmax(yreal) |
|
|
102 | 102 | |
|
|
103 | 103 | self.isConfig = True |
|
|
104 | 104 | |
|
|
105 | 105 | self.setWinTitle(title) |
|
|
106 | 106 | |
|
|
107 | 107 | for i in range(len(self.axesList)): |
|
|
108 | 108 | title = "Channel %d" %(i) |
|
|
109 | 109 | axes = self.axesList[i] |
|
|
110 | 110 | ychannel = yreal[i,:] |
|
|
111 | 111 | axes.pline(x, ychannel, |
|
|
112 | 112 | xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, |
|
|
113 | 113 | xlabel=xlabel, ylabel=ylabel, title=title) |
|
|
114 | 114 | |
|
|
115 | 115 | |
|
|
116 | 116 | def run(self, dataOut, id, wintitle="", channelList=None, |
|
|
117 | 117 | xmin=None, xmax=None, ymin=None, ymax=None, save=False, |
|
|
118 | 118 | figpath='./', figfile=None, show=True, wr_period=1, |
|
|
119 | 119 | ftp=False, server=None, folder=None, username=None, password=None, type='power', **kwargs): |
|
|
120 | 120 | |
|
|
121 | 121 | """ |
|
|
122 | 122 | |
|
|
123 | 123 | Input: |
|
|
124 | 124 | dataOut : |
|
|
125 | 125 | id : |
|
|
126 | 126 | wintitle : |
|
|
127 | 127 | channelList : |
|
|
128 | 128 | xmin : None, |
|
|
129 | 129 | xmax : None, |
|
|
130 | 130 | ymin : None, |
|
|
131 | 131 | ymax : None, |
|
|
132 | 132 | """ |
|
|
133 | 133 | if dataOut.flagNoData: |
|
|
134 | 134 | return dataOut |
|
|
135 | 135 | |
|
|
136 | 136 | if channelList == None: |
|
|
137 | 137 | channelIndexList = dataOut.channelIndexList |
|
|
138 | 138 | else: |
|
|
139 | 139 | channelIndexList = [] |
|
|
140 | 140 | for channel in channelList: |
|
|
141 | 141 | if channel not in dataOut.channelList: |
|
|
142 | 142 | raise ValueError("Channel %d is not in dataOut.channelList") |
|
|
143 | 143 | channelIndexList.append(dataOut.channelList.index(channel)) |
|
|
144 | 144 | |
|
|
145 | 145 | thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.getTimeRange()[0]) |
|
|
146 | 146 | |
|
|
147 | 147 | if dataOut.flagDataAsBlock: |
|
|
148 | 148 | |
|
|
149 | 149 | for i in range(dataOut.nProfiles): |
|
|
150 | 150 | |
|
|
151 | 151 | wintitle1 = wintitle + " [Profile = %d] " %i |
|
|
152 | 152 | |
|
|
153 | 153 | if type == "power": |
|
|
154 | 154 | self.plot_power(dataOut.heightList, |
|
|
155 | 155 | dataOut.data[:,i,:], |
|
|
156 | 156 | id, |
|
|
157 | 157 | channelIndexList, |
|
|
158 | 158 | thisDatetime, |
|
|
159 | 159 | wintitle1, |
|
|
160 | 160 | show, |
|
|
161 | 161 | xmin, |
|
|
162 | 162 | xmax, |
|
|
163 | 163 | ymin, |
|
|
164 | 164 | ymax) |
|
|
165 | 165 | |
|
|
166 | 166 | if type == "iq": |
|
|
167 | 167 | self.plot_iq(dataOut.heightList, |
|
|
168 | 168 | dataOut.data[:,i,:], |
|
|
169 | 169 | id, |
|
|
170 | 170 | channelIndexList, |
|
|
171 | 171 | thisDatetime, |
|
|
172 | 172 | wintitle1, |
|
|
173 | 173 | show, |
|
|
174 | 174 | xmin, |
|
|
175 | 175 | xmax, |
|
|
176 | 176 | ymin, |
|
|
177 | 177 | ymax) |
|
|
178 | 178 | |
|
|
179 | 179 | self.draw() |
|
|
180 | 180 | |
|
|
181 | 181 | str_datetime = thisDatetime.strftime("%Y%m%d_%H%M%S") |
|
|
182 | 182 | figfile = self.getFilename(name = str_datetime) + "_" + str(i) |
|
|
183 | 183 | |
|
|
184 | 184 | self.save(figpath=figpath, |
|
|
185 | 185 | figfile=figfile, |
|
|
186 | 186 | save=save, |
|
|
187 | 187 | ftp=ftp, |
|
|
188 | 188 | wr_period=wr_period, |
|
|
189 | 189 | thisDatetime=thisDatetime) |
|
|
190 | 190 | |
|
|
191 | 191 | else: |
|
|
192 | 192 | wintitle += " [Profile = %d] " %dataOut.profileIndex |
|
|
193 | 193 | |
|
|
194 | 194 | if type == "power": |
|
|
195 | 195 | self.plot_power(dataOut.heightList, |
|
|
196 | 196 | dataOut.data, |
|
|
197 | 197 | id, |
|
|
198 | 198 | channelIndexList, |
|
|
199 | 199 | thisDatetime, |
|
|
200 | 200 | wintitle, |
|
|
201 | 201 | show, |
|
|
202 | 202 | xmin, |
|
|
203 | 203 | xmax, |
|
|
204 | 204 | ymin, |
|
|
205 | 205 | ymax) |
|
|
206 | 206 | |
|
|
207 | 207 | if type == "iq": |
|
|
208 | 208 | self.plot_iq(dataOut.heightList, |
|
|
209 | 209 | dataOut.data, |
|
|
210 | 210 | id, |
|
|
211 | 211 | channelIndexList, |
|
|
212 | 212 | thisDatetime, |
|
|
213 | 213 | wintitle, |
|
|
214 | 214 | show, |
|
|
215 | 215 | xmin, |
|
|
216 | 216 | xmax, |
|
|
217 | 217 | ymin, |
|
|
218 | 218 | ymax) |
|
|
219 | 219 | |
|
|
220 | 220 | self.draw() |
|
|
221 | 221 | |
|
|
222 | 222 | str_datetime = thisDatetime.strftime("%Y%m%d_%H%M%S") + "_" + str(dataOut.profileIndex) |
|
|
223 | 223 | figfile = self.getFilename(name = str_datetime) |
|
|
224 | 224 | |
|
|
225 | 225 | self.save(figpath=figpath, |
|
|
226 | 226 | figfile=figfile, |
|
|
227 | 227 | save=save, |
|
|
228 | 228 | ftp=ftp, |
|
|
229 | 229 | wr_period=wr_period, |
|
|
230 | 230 | thisDatetime=thisDatetime) |
|
|
231 | 231 | |
|
|
232 | 232 | return dataOut No newline at end of file |
| @@ -1,367 +1,376 | |||
|
|
1 | 1 | ''' |
|
|
2 | 2 | Updated for multiprocessing |
|
|
3 | 3 | Author : Sergio Cortez |
|
|
4 | 4 | Jan 2018 |
|
|
5 | 5 | Abstract: |
|
|
6 | 6 | Base class for processing units and operations. A decorator provides multiprocessing features and interconnect the processes created. |
|
|
7 | 7 | The argument (kwargs) sent from the controller is parsed and filtered via the decorator for each processing unit or operation instantiated. |
|
|
8 | 8 | The decorator handle also the methods inside the processing unit to be called from the main script (not as operations) (OPERATION -> type ='self'). |
|
|
9 | 9 | |
|
|
10 | 10 | Based on: |
|
|
11 | 11 | $Author: murco $ |
|
|
12 | 12 | $Id: jroproc_base.py 1 2012-11-12 18:56:07Z murco $ |
|
|
13 | 13 | ''' |
|
|
14 | from platform import python_version | |
|
|
14 | ||
|
|
15 | 15 | import inspect |
|
|
16 | 16 | import zmq |
|
|
17 | 17 | import time |
|
|
18 | 18 | import pickle |
|
|
19 | 19 | import os |
|
|
20 | 20 | from multiprocessing import Process |
|
|
21 | from zmq.utils.monitor import recv_monitor_message | |
|
|
22 | ||
|
|
21 | 23 | from schainpy.utils import log |
|
|
22 | 24 | |
|
|
23 | 25 | |
|
|
24 | 26 | class ProcessingUnit(object): |
|
|
25 | 27 | |
|
|
26 | 28 | """ |
|
|
27 | 29 | Update - Jan 2018 - MULTIPROCESSING |
|
|
28 | 30 | All the "call" methods present in the previous base were removed. |
|
|
29 | 31 | The majority of operations are independant processes, thus |
|
|
30 | 32 | the decorator is in charge of communicate the operation processes |
|
|
31 | 33 | with the proccessing unit via IPC. |
|
|
32 | 34 | |
|
|
33 | 35 | The constructor does not receive any argument. The remaining methods |
|
|
34 | 36 | are related with the operations to execute. |
|
|
35 | 37 | |
|
|
36 | 38 | |
|
|
37 | 39 | """ |
|
|
38 | ||
|
|
39 | METHODS = {} | |
|
|
40 | dataIn = None | |
|
|
41 | dataInList = [] | |
|
|
42 | id = None | |
|
|
43 | inputId = None | |
|
|
44 | dataOut = None | |
|
|
45 | dictProcs = None | |
|
|
46 | isConfig = False | |
|
|
47 | 40 | |
|
|
48 | 41 | def __init__(self): |
|
|
49 | 42 | |
|
|
50 | 43 | self.dataIn = None |
|
|
51 | 44 | self.dataOut = None |
|
|
52 | 45 | self.isConfig = False |
|
|
53 | 46 | self.operations = [] |
|
|
47 | self.plots = [] | |
|
|
54 | 48 | |
|
|
55 | 49 | def getAllowedArgs(self): |
|
|
56 | 50 | if hasattr(self, '__attrs__'): |
|
|
57 | 51 | return self.__attrs__ |
|
|
58 | 52 | else: |
|
|
59 | 53 | return inspect.getargspec(self.run).args |
|
|
60 | ||
|
|
61 | def addOperation(self, conf, operation): | |
|
|
62 | 54 | |
|
|
55 | def addOperation(self, conf, operation): | |
|
|
63 | 56 | """ |
|
|
64 | 57 | This method is used in the controller, and update the dictionary containing the operations to execute. The dict |
|
|
65 | 58 | posses the id of the operation process (IPC purposes) |
|
|
66 | 59 | |
|
|
67 | 60 | Agrega un objeto del tipo "Operation" (opObj) a la lista de objetos "self.objectList" y retorna el |
|
|
68 | 61 | identificador asociado a este objeto. |
|
|
69 | 62 | |
|
|
70 | 63 | Input: |
|
|
71 | 64 | |
|
|
72 | 65 | object : objeto de la clase "Operation" |
|
|
73 | 66 | |
|
|
74 | 67 | Return: |
|
|
75 | 68 | |
|
|
76 | 69 | objId : identificador del objeto, necesario para comunicar con master(procUnit) |
|
|
77 | 70 | """ |
|
|
78 | 71 | |
|
|
79 | self.operations.append((operation, conf.type, conf.id, conf.getKwargs())) | |
|
|
72 | self.operations.append( | |
|
|
73 | (operation, conf.type, conf.id, conf.getKwargs())) | |
|
|
74 | ||
|
|
75 | if 'plot' in self.name.lower(): | |
|
|
76 | self.plots.append(operation.CODE) | |
|
|
80 | 77 | |
|
|
81 | 78 | def getOperationObj(self, objId): |
|
|
82 | 79 | |
|
|
83 | 80 | if objId not in list(self.operations.keys()): |
|
|
84 | 81 | return None |
|
|
85 | 82 | |
|
|
86 | 83 | return self.operations[objId] |
|
|
87 | 84 | |
|
|
88 | 85 | def operation(self, **kwargs): |
|
|
89 | ||
|
|
90 | 86 | """ |
|
|
91 | 87 | Operacion directa sobre la data (dataOut.data). Es necesario actualizar los valores de los |
|
|
92 | 88 | atributos del objeto dataOut |
|
|
93 | 89 | |
|
|
94 | 90 | Input: |
|
|
95 | 91 | |
|
|
96 | 92 | **kwargs : Diccionario de argumentos de la funcion a ejecutar |
|
|
97 | 93 | """ |
|
|
98 | 94 | |
|
|
99 |
raise NotImplementedError |
|
|
|
95 | raise NotImplementedError | |
|
|
100 | 96 | |
|
|
101 | 97 | def setup(self): |
|
|
102 | 98 | |
|
|
103 | 99 | raise NotImplementedError |
|
|
104 | 100 | |
|
|
105 | 101 | def run(self): |
|
|
106 | 102 | |
|
|
107 | 103 | raise NotImplementedError |
|
|
108 | 104 | |
|
|
109 | 105 | def close(self): |
|
|
110 | #Close every thread, queue or any other object here is it is neccesary. | |
|
|
106 | ||
|
|
111 | 107 | return |
|
|
112 | ||
|
|
108 | ||
|
|
109 | ||
|
|
113 | 110 | class Operation(object): |
|
|
114 | 111 | |
|
|
115 | 112 | """ |
|
|
116 | 113 | Update - Jan 2018 - MULTIPROCESSING |
|
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117 | 114 | |
|
|
118 | 115 | Most of the methods remained the same. The decorator parse the arguments and executed the run() method for each process. |
|
|
119 | 116 | The constructor doe snot receive any argument, neither the baseclass. |
|
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120 | 117 | |
|
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121 | 118 | |
|
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122 | 119 | Clase base para definir las operaciones adicionales que se pueden agregar a la clase ProcessingUnit |
|
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123 | 120 | y necesiten acumular informacion previa de los datos a procesar. De preferencia usar un buffer de |
|
|
124 | 121 | acumulacion dentro de esta clase |
|
|
125 | 122 | |
|
|
126 | 123 | Ejemplo: Integraciones coherentes, necesita la informacion previa de los n perfiles anteriores (bufffer) |
|
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127 | 124 | |
|
|
128 | 125 | """ |
|
|
129 | id = None | |
|
|
130 | __buffer = None | |
|
|
131 | dest = None | |
|
|
132 | isConfig = False | |
|
|
133 | readyFlag = None | |
|
|
134 | 126 | |
|
|
135 | 127 | def __init__(self): |
|
|
136 | 128 | |
|
|
137 |
self. |
|
|
|
138 | self.dest = None | |
|
|
129 | self.id = None | |
|
|
139 | 130 | self.isConfig = False |
|
|
140 | self.readyFlag = False | |
|
|
141 | 131 | |
|
|
142 | 132 | if not hasattr(self, 'name'): |
|
|
143 | 133 | self.name = self.__class__.__name__ |
|
|
144 | ||
|
|
134 | ||
|
|
145 | 135 | def getAllowedArgs(self): |
|
|
146 | 136 | if hasattr(self, '__attrs__'): |
|
|
147 | 137 | return self.__attrs__ |
|
|
148 | 138 | else: |
|
|
149 | 139 | return inspect.getargspec(self.run).args |
|
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150 | 140 | |
|
|
151 | 141 | def setup(self): |
|
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152 | 142 | |
|
|
153 | 143 | self.isConfig = True |
|
|
154 | 144 | |
|
|
155 | 145 | raise NotImplementedError |
|
|
156 | 146 | |
|
|
157 | ||
|
|
158 | 147 | def run(self, dataIn, **kwargs): |
|
|
159 | ||
|
|
160 | 148 | """ |
|
|
161 | 149 | Realiza las operaciones necesarias sobre la dataIn.data y actualiza los |
|
|
162 | 150 | atributos del objeto dataIn. |
|
|
163 | 151 | |
|
|
164 | 152 | Input: |
|
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165 | 153 | |
|
|
166 | 154 | dataIn : objeto del tipo JROData |
|
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167 | 155 | |
|
|
168 | 156 | Return: |
|
|
169 | 157 | |
|
|
170 | 158 | None |
|
|
171 | 159 | |
|
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172 | 160 | Affected: |
|
|
173 | 161 | __buffer : buffer de recepcion de datos. |
|
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174 | 162 | |
|
|
175 | 163 | """ |
|
|
176 | 164 | if not self.isConfig: |
|
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177 | 165 | self.setup(**kwargs) |
|
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178 | 166 | |
|
|
179 | 167 | raise NotImplementedError |
|
|
180 | 168 | |
|
|
181 | 169 | def close(self): |
|
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182 | 170 | |
|
|
183 |
|
|
|
|
171 | return | |
|
|
184 | 172 | |
|
|
185 | 173 | |
|
|
186 | 174 | def MPDecorator(BaseClass): |
|
|
187 | ||
|
|
188 | 175 | """ |
|
|
189 | 176 | Multiprocessing class decorator |
|
|
190 | 177 | |
|
|
191 | 178 | This function add multiprocessing features to a BaseClass. Also, it handle |
|
|
192 | 179 | the communication beetween processes (readers, procUnits and operations). |
|
|
193 | 180 | """ |
|
|
194 | ||
|
|
181 | ||
|
|
195 | 182 | class MPClass(BaseClass, Process): |
|
|
196 | 183 | |
|
|
197 | 184 | def __init__(self, *args, **kwargs): |
|
|
198 | 185 | super(MPClass, self).__init__() |
|
|
199 | 186 | Process.__init__(self) |
|
|
200 | 187 | self.operationKwargs = {} |
|
|
201 | 188 | self.args = args |
|
|
202 | 189 | self.kwargs = kwargs |
|
|
203 | 190 | self.sender = None |
|
|
204 | 191 | self.receiver = None |
|
|
205 | 192 | self.name = BaseClass.__name__ |
|
|
193 | self.start_time = time.time() | |
|
|
206 | 194 | |
|
|
207 | 195 | if len(self.args) is 3: |
|
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208 | 196 | self.typeProc = "ProcUnit" |
|
|
209 |
self.id = args[0] |
|
|
|
210 |
self.inputId = args[1] |
|
|
|
211 |
self.project_id = args[2] |
|
|
|
212 | else: | |
|
|
197 | self.id = args[0] | |
|
|
198 | self.inputId = args[1] | |
|
|
199 | self.project_id = args[2] | |
|
|
200 | elif len(self.args) is 2: | |
|
|
213 | 201 | self.id = args[0] |
|
|
214 | 202 | self.inputId = args[0] |
|
|
215 | 203 | self.project_id = args[1] |
|
|
216 | 204 | self.typeProc = "Operation" |
|
|
217 | 205 | |
|
|
218 | def getAllowedArgs(self): | |
|
|
219 | ||
|
|
220 | if hasattr(self, '__attrs__'): | |
|
|
221 | return self.__attrs__ | |
|
|
222 | else: | |
|
|
223 | return inspect.getargspec(BaseClass.run).args | |
|
|
224 | ||
|
|
225 | 206 | def subscribe(self): |
|
|
226 | 207 | ''' |
|
|
227 | 208 | This function create a socket to receive objects from the |
|
|
228 | 209 | topic `inputId`. |
|
|
229 | 210 | ''' |
|
|
230 | ||
|
|
211 | ||
|
|
231 | 212 | c = zmq.Context() |
|
|
232 | 213 | self.receiver = c.socket(zmq.SUB) |
|
|
233 | self.receiver.connect('ipc:///tmp/schain/{}_pub'.format(self.project_id)) | |
|
|
214 | self.receiver.connect( | |
|
|
215 | 'ipc:///tmp/schain/{}_pub'.format(self.project_id)) | |
|
|
234 | 216 | self.receiver.setsockopt(zmq.SUBSCRIBE, self.inputId.encode()) |
|
|
235 | 217 | |
|
|
236 | 218 | def listen(self): |
|
|
237 | 219 | ''' |
|
|
238 | 220 | This function waits for objects and deserialize using pickle |
|
|
239 | 221 | ''' |
|
|
240 | ||
|
|
241 |
data = |
|
|
|
222 | ||
|
|
223 | data = pickle.loads(self.receiver.recv_multipart()[1]) | |
|
|
224 | ||
|
|
242 | 225 | return data |
|
|
243 | 226 | |
|
|
244 | 227 | def set_publisher(self): |
|
|
245 | 228 | ''' |
|
|
246 | 229 | This function create a socket for publishing purposes. |
|
|
247 | 230 | ''' |
|
|
248 | 231 | |
|
|
249 | 232 | time.sleep(1) |
|
|
250 | 233 | c = zmq.Context() |
|
|
251 |
self.sender = c.socket(zmq.PUB) |
|
|
|
252 | self.sender.connect('ipc:///tmp/schain/{}_sub'.format(self.project_id)) | |
|
|
234 | self.sender = c.socket(zmq.PUB) | |
|
|
235 | self.sender.connect( | |
|
|
236 | 'ipc:///tmp/schain/{}_sub'.format(self.project_id)) | |
|
|
253 | 237 | |
|
|
254 |
def publish(self, data, id): |
|
|
|
238 | def publish(self, data, id): | |
|
|
255 | 239 | ''' |
|
|
256 | 240 | This function publish an object, to a specific topic. |
|
|
257 | 241 | ''' |
|
|
258 | ||
|
|
259 | 242 | self.sender.send_multipart([str(id).encode(), pickle.dumps(data)]) |
|
|
260 | 243 | |
|
|
261 | 244 | def runReader(self): |
|
|
262 | 245 | ''' |
|
|
263 | 246 | Run fuction for read units |
|
|
264 | 247 | ''' |
|
|
265 | 248 | while True: |
|
|
266 | ||
|
|
267 | BaseClass.run(self, **self.kwargs) | |
|
|
268 | 249 | |
|
|
269 | if self.dataOut.error[0] == -1: | |
|
|
270 | log.error(self.dataOut.error[1]) | |
|
|
271 | self.publish('end', self.id) | |
|
|
272 | #self.sender.send_multipart([str(self.project_id).encode(), 'end'.encode()]) | |
|
|
273 | break | |
|
|
250 | BaseClass.run(self, **self.kwargs) | |
|
|
274 | 251 | |
|
|
275 |
for op, optype, |
|
|
|
276 | if optype=='self': | |
|
|
252 | for op, optype, opId, kwargs in self.operations: | |
|
|
253 | if optype == 'self': | |
|
|
277 | 254 | op(**kwargs) |
|
|
278 |
elif optype=='other': |
|
|
|
255 | elif optype == 'other': | |
|
|
279 | 256 | self.dataOut = op.run(self.dataOut, **self.kwargs) |
|
|
280 | elif optype=='external': | |
|
|
257 | elif optype == 'external': | |
|
|
281 | 258 | self.publish(self.dataOut, opId) |
|
|
282 | 259 | |
|
|
283 | if self.dataOut.flagNoData: | |
|
|
260 | if self.dataOut.flagNoData and self.dataOut.error is None: | |
|
|
284 | 261 | continue |
|
|
285 | ||
|
|
286 |
self.publish(self.dataOut, self.id) |
|
|
|
287 | ||
|
|
262 | ||
|
|
263 | self.publish(self.dataOut, self.id) | |
|
|
264 | ||
|
|
265 | if self.dataOut.error: | |
|
|
266 | if self.dataOut.error[0] == -1: | |
|
|
267 | log.error(self.dataOut.error[1], self.name) | |
|
|
268 | if self.dataOut.error[0] == 1: | |
|
|
269 | log.success(self.dataOut.error[1], self.name) | |
|
|
270 | # self.sender.send_multipart([str(self.project_id).encode(), 'end'.encode()]) | |
|
|
271 | break | |
|
|
272 | ||
|
|
273 | time.sleep(1) | |
|
|
274 | ||
|
|
288 | 275 | def runProc(self): |
|
|
289 | 276 | ''' |
|
|
290 | 277 | Run function for proccessing units |
|
|
291 | 278 | ''' |
|
|
292 | 279 | |
|
|
293 | 280 | while True: |
|
|
294 | 281 | self.dataIn = self.listen() |
|
|
295 | 282 | |
|
|
296 |
if self.dataIn |
|
|
|
297 | self.publish('end', self.id) | |
|
|
298 | for op, optype, opId, kwargs in self.operations: | |
|
|
299 | if optype == 'external': | |
|
|
300 | self.publish('end', opId) | |
|
|
301 | break | |
|
|
302 | ||
|
|
303 | if self.dataIn.flagNoData: | |
|
|
283 | if self.dataIn.flagNoData and self.dataIn.error is None: | |
|
|
304 | 284 | continue |
|
|
305 | 285 | |
|
|
306 | 286 | BaseClass.run(self, **self.kwargs) |
|
|
307 | 287 | |
|
|
308 | 288 | for op, optype, opId, kwargs in self.operations: |
|
|
309 | if optype=='self': | |
|
|
289 | if optype == 'self': | |
|
|
310 | 290 | op(**kwargs) |
|
|
311 | elif optype=='other': | |
|
|
291 | elif optype == 'other': | |
|
|
312 | 292 | self.dataOut = op.run(self.dataOut, **kwargs) |
|
|
313 | elif optype=='external': | |
|
|
293 | elif optype == 'external': | |
|
|
314 | 294 | self.publish(self.dataOut, opId) |
|
|
315 | 295 | |
|
|
316 | if self.dataOut.flagNoData: | |
|
|
317 | continue | |
|
|
318 | ||
|
|
319 | 296 | self.publish(self.dataOut, self.id) |
|
|
297 | if self.dataIn.error: | |
|
|
298 | break | |
|
|
299 | ||
|
|
300 | time.sleep(1) | |
|
|
320 | 301 | |
|
|
321 | 302 | def runOp(self): |
|
|
322 | 303 | ''' |
|
|
323 | Run function for operations | |
|
|
304 | Run function for external operations (this operations just receive data | |
|
|
305 | ex: plots, writers, publishers) | |
|
|
324 | 306 | ''' |
|
|
325 | 307 | |
|
|
326 | 308 | while True: |
|
|
327 | 309 | |
|
|
328 | 310 | dataOut = self.listen() |
|
|
329 | 311 | |
|
|
330 | if dataOut == 'end': | |
|
|
331 | break | |
|
|
332 | ||
|
|
333 | 312 | BaseClass.run(self, dataOut, **self.kwargs) |
|
|
334 | ||
|
|
313 | ||
|
|
314 | if dataOut.error: | |
|
|
315 | break | |
|
|
316 | time.sleep(1) | |
|
|
317 | ||
|
|
335 | 318 | def run(self): |
|
|
336 | ||
|
|
319 | ||
|
|
337 | 320 | if self.typeProc is "ProcUnit": |
|
|
338 | ||
|
|
321 | ||
|
|
339 | 322 | if self.inputId is not None: |
|
|
340 | 323 | self.subscribe() |
|
|
341 | 324 | self.set_publisher() |
|
|
342 | 325 | |
|
|
343 | 326 | if 'Reader' not in BaseClass.__name__: |
|
|
344 | 327 | self.runProc() |
|
|
345 | 328 | else: |
|
|
346 | 329 | self.runReader() |
|
|
347 | 330 | |
|
|
348 | 331 | elif self.typeProc is "Operation": |
|
|
349 | ||
|
|
332 | ||
|
|
350 | 333 | self.subscribe() |
|
|
351 | 334 | self.runOp() |
|
|
352 | 335 | |
|
|
353 | 336 | else: |
|
|
354 | 337 | raise ValueError("Unknown type") |
|
|
355 | 338 | |
|
|
356 | print("%s done" % BaseClass.__name__) | |
|
|
357 | 339 | self.close() |
|
|
358 | 340 | |
|
|
341 | def event_monitor(self, monitor): | |
|
|
342 | ||
|
|
343 | events = {} | |
|
|
344 | ||
|
|
345 | for name in dir(zmq): | |
|
|
346 | if name.startswith('EVENT_'): | |
|
|
347 | value = getattr(zmq, name) | |
|
|
348 | events[value] = name | |
|
|
349 | ||
|
|
350 | while monitor.poll(): | |
|
|
351 | evt = recv_monitor_message(monitor) | |
|
|
352 | if evt['event'] == 32: | |
|
|
353 | self.connections += 1 | |
|
|
354 | if evt['event'] == 512: | |
|
|
355 | pass | |
|
|
356 | ||
|
|
357 | evt.update({'description': events[evt['event']]}) | |
|
|
358 | ||
|
|
359 | if evt['event'] == zmq.EVENT_MONITOR_STOPPED: | |
|
|
360 | break | |
|
|
361 | monitor.close() | |
|
|
362 | print('event monitor thread done!') | |
|
|
363 | ||
|
|
359 | 364 | def close(self): |
|
|
360 | ||
|
|
365 | ||
|
|
366 | BaseClass.close(self) | |
|
|
367 | ||
|
|
361 | 368 | if self.sender: |
|
|
362 | 369 | self.sender.close() |
|
|
363 | ||
|
|
370 | ||
|
|
364 | 371 | if self.receiver: |
|
|
365 | 372 | self.receiver.close() |
|
|
366 | 373 | |
|
|
367 | return MPClass No newline at end of file | |
|
|
374 | log.success('Done...(Time:{:4.2f} secs)'.format(time.time()-self.start_time), self.name) | |
|
|
375 | ||
|
|
376 | return MPClass | |
| This diff has been collapsed as it changes many lines, (612 lines changed) Show them Hide them | |||
| @@ -1,869 +1,309 | |||
|
|
1 | 1 | ''' |
|
|
2 | 2 | @author: Juan C. Espinoza |
|
|
3 | 3 | ''' |
|
|
4 | 4 | |
|
|
5 | 5 | import os |
|
|
6 | 6 | import glob |
|
|
7 | 7 | import time |
|
|
8 | 8 | import json |
|
|
9 | 9 | import numpy |
|
|
10 | import paho.mqtt.client as mqtt | |
|
|
11 | 10 | import zmq |
|
|
12 | 11 | import datetime |
|
|
13 | 12 | import ftplib |
|
|
14 | from zmq.utils.monitor import recv_monitor_message | |
|
|
15 | 13 | from functools import wraps |
|
|
16 | 14 | from threading import Thread |
|
|
17 | 15 | from multiprocessing import Process |
|
|
18 | 16 | |
|
|
19 | 17 | from schainpy.model.proc.jroproc_base import Operation, ProcessingUnit |
|
|
20 | 18 | from schainpy.model.data.jrodata import JROData |
|
|
21 | 19 | from schainpy.utils import log |
|
|
22 | 20 | |
|
|
23 | 21 | MAXNUMX = 500 |
|
|
24 | 22 | MAXNUMY = 500 |
|
|
25 | 23 | |
|
|
26 | 24 | PLOT_CODES = { |
|
|
27 | 25 | 'rti': 0, # Range time intensity (RTI). |
|
|
28 | 26 | 'spc': 1, # Spectra (and Cross-spectra) information. |
|
|
29 | 27 | 'cspc': 2, # Cross-Correlation information. |
|
|
30 | 28 | 'coh': 3, # Coherence map. |
|
|
31 | 29 | 'base': 4, # Base lines graphic. |
|
|
32 | 30 | 'row': 5, # Row Spectra. |
|
|
33 | 31 | 'total': 6, # Total Power. |
|
|
34 | 32 | 'drift': 7, # Drifts graphics. |
|
|
35 | 33 | 'height': 8, # Height profile. |
|
|
36 | 34 | 'phase': 9, # Signal Phase. |
|
|
37 | 35 | 'power': 16, |
|
|
38 | 36 | 'noise': 17, |
|
|
39 | 37 | 'beacon': 18, |
|
|
40 | 38 | 'wind': 22, |
|
|
41 | 39 | 'skymap': 23, |
|
|
42 | 40 | 'Unknown': 24, |
|
|
43 | 41 | 'V-E': 25, # PIP Velocity. |
|
|
44 | 42 | 'Z-E': 26, # PIP Reflectivity. |
|
|
45 | 43 | 'V-A': 27, # RHI Velocity. |
|
|
46 | 44 | 'Z-A': 28, # RHI Reflectivity. |
|
|
47 | 45 | } |
|
|
48 | 46 | |
|
|
49 | 47 | def get_plot_code(s): |
|
|
50 | 48 | label = s.split('_')[0] |
|
|
51 | 49 | codes = [key for key in PLOT_CODES if key in label] |
|
|
52 | 50 | if codes: |
|
|
53 | 51 | return PLOT_CODES[codes[0]] |
|
|
54 | 52 | else: |
|
|
55 | 53 | return 24 |
|
|
56 | 54 | |
|
|
57 | def roundFloats(obj): | |
|
|
58 | if isinstance(obj, list): | |
|
|
59 | return list(map(roundFloats, obj)) | |
|
|
60 | elif isinstance(obj, float): | |
|
|
61 | return round(obj, 2) | |
|
|
62 | ||
|
|
63 | 55 | def decimate(z, MAXNUMY): |
|
|
64 | 56 | dy = int(len(z[0])/MAXNUMY) + 1 |
|
|
65 | 57 | |
|
|
66 | 58 | return z[::, ::dy] |
|
|
67 | 59 | |
|
|
68 | class throttle(object): | |
|
|
69 | ''' | |
|
|
70 | Decorator that prevents a function from being called more than once every | |
|
|
71 | time period. | |
|
|
72 | To create a function that cannot be called more than once a minute, but | |
|
|
73 | will sleep until it can be called: | |
|
|
74 | @throttle(minutes=1) | |
|
|
75 | def foo(): | |
|
|
76 | pass | |
|
|
77 | ||
|
|
78 | for i in range(10): | |
|
|
79 | foo() | |
|
|
80 | print "This function has run %s times." % i | |
|
|
81 | ''' | |
|
|
82 | ||
|
|
83 | def __init__(self, seconds=0, minutes=0, hours=0): | |
|
|
84 | self.throttle_period = datetime.timedelta( | |
|
|
85 | seconds=seconds, minutes=minutes, hours=hours | |
|
|
86 | ) | |
|
|
87 | ||
|
|
88 | self.time_of_last_call = datetime.datetime.min | |
|
|
89 | ||
|
|
90 | def __call__(self, fn): | |
|
|
91 | @wraps(fn) | |
|
|
92 | def wrapper(*args, **kwargs): | |
|
|
93 | coerce = kwargs.pop('coerce', None) | |
|
|
94 | if coerce: | |
|
|
95 | self.time_of_last_call = datetime.datetime.now() | |
|
|
96 | return fn(*args, **kwargs) | |
|
|
97 | else: | |
|
|
98 | now = datetime.datetime.now() | |
|
|
99 | time_since_last_call = now - self.time_of_last_call | |
|
|
100 | time_left = self.throttle_period - time_since_last_call | |
|
|
101 | ||
|
|
102 | if time_left > datetime.timedelta(seconds=0): | |
|
|
103 | return | |
|
|
104 | ||
|
|
105 | self.time_of_last_call = datetime.datetime.now() | |
|
|
106 | return fn(*args, **kwargs) | |
|
|
107 | ||
|
|
108 | return wrapper | |
|
|
109 | ||
|
|
110 | class Data(object): | |
|
|
111 | ''' | |
|
|
112 | Object to hold data to be plotted | |
|
|
113 | ''' | |
|
|
114 | ||
|
|
115 | def __init__(self, plottypes, throttle_value, exp_code, buffering=True): | |
|
|
116 | self.plottypes = plottypes | |
|
|
117 | self.throttle = throttle_value | |
|
|
118 | self.exp_code = exp_code | |
|
|
119 | self.buffering = buffering | |
|
|
120 | self.ended = False | |
|
|
121 | self.localtime = False | |
|
|
122 | self.meta = {} | |
|
|
123 | self.__times = [] | |
|
|
124 | self.__heights = [] | |
|
|
125 | ||
|
|
126 | def __str__(self): | |
|
|
127 | dum = ['{}{}'.format(key, self.shape(key)) for key in self.data] | |
|
|
128 | return 'Data[{}][{}]'.format(';'.join(dum), len(self.__times)) | |
|
|
129 | ||
|
|
130 | def __len__(self): | |
|
|
131 | return len(self.__times) | |
|
|
132 | ||
|
|
133 | def __getitem__(self, key): | |
|
|
134 | if key not in self.data: | |
|
|
135 | raise KeyError(log.error('Missing key: {}'.format(key))) | |
|
|
136 | ||
|
|
137 | if 'spc' in key or not self.buffering: | |
|
|
138 | ret = self.data[key] | |
|
|
139 | else: | |
|
|
140 | ret = numpy.array([self.data[key][x] for x in self.times]) | |
|
|
141 | if ret.ndim > 1: | |
|
|
142 | ret = numpy.swapaxes(ret, 0, 1) | |
|
|
143 | return ret | |
|
|
144 | ||
|
|
145 | def __contains__(self, key): | |
|
|
146 | return key in self.data | |
|
|
147 | ||
|
|
148 | def setup(self): | |
|
|
149 | ''' | |
|
|
150 | Configure object | |
|
|
151 | ''' | |
|
|
152 | ||
|
|
153 | self.type = '' | |
|
|
154 | self.ended = False | |
|
|
155 | self.data = {} | |
|
|
156 | self.__times = [] | |
|
|
157 | self.__heights = [] | |
|
|
158 | self.__all_heights = set() | |
|
|
159 | for plot in self.plottypes: | |
|
|
160 | if 'snr' in plot: | |
|
|
161 | plot = 'snr' | |
|
|
162 | self.data[plot] = {} | |
|
|
163 | ||
|
|
164 | def shape(self, key): | |
|
|
165 | ''' | |
|
|
166 | Get the shape of the one-element data for the given key | |
|
|
167 | ''' | |
|
|
168 | ||
|
|
169 | if len(self.data[key]): | |
|
|
170 | if 'spc' in key or not self.buffering: | |
|
|
171 | return self.data[key].shape | |
|
|
172 | return self.data[key][self.__times[0]].shape | |
|
|
173 | return (0,) | |
|
|
174 | ||
|
|
175 | def update(self, dataOut, tm): | |
|
|
176 | ''' | |
|
|
177 | Update data object with new dataOut | |
|
|
178 | ''' | |
|
|
179 | ||
|
|
180 | if tm in self.__times: | |
|
|
181 | return | |
|
|
182 | ||
|
|
183 | self.type = dataOut.type | |
|
|
184 | self.parameters = getattr(dataOut, 'parameters', []) | |
|
|
185 | if hasattr(dataOut, 'pairsList'): | |
|
|
186 | self.pairs = dataOut.pairsList | |
|
|
187 | if hasattr(dataOut, 'meta'): | |
|
|
188 | self.meta = dataOut.meta | |
|
|
189 | self.channels = dataOut.channelList | |
|
|
190 | self.interval = dataOut.getTimeInterval() | |
|
|
191 | self.localtime = dataOut.useLocalTime | |
|
|
192 | if 'spc' in self.plottypes or 'cspc' in self.plottypes: | |
|
|
193 | self.xrange = (dataOut.getFreqRange(1)/1000., dataOut.getAcfRange(1), dataOut.getVelRange(1)) | |
|
|
194 | self.__heights.append(dataOut.heightList) | |
|
|
195 | self.__all_heights.update(dataOut.heightList) | |
|
|
196 | self.__times.append(tm) | |
|
|
197 | ||
|
|
198 | for plot in self.plottypes: | |
|
|
199 | if plot == 'spc': | |
|
|
200 | z = dataOut.data_spc/dataOut.normFactor | |
|
|
201 | buffer = 10*numpy.log10(z) | |
|
|
202 | if plot == 'cspc': | |
|
|
203 | buffer = dataOut.data_cspc | |
|
|
204 | if plot == 'noise': | |
|
|
205 | buffer = 10*numpy.log10(dataOut.getNoise()/dataOut.normFactor) | |
|
|
206 | if plot == 'rti': | |
|
|
207 | buffer = dataOut.getPower() | |
|
|
208 | if plot == 'snr_db': | |
|
|
209 | buffer = dataOut.data_SNR | |
|
|
210 | if plot == 'snr': | |
|
|
211 | buffer = 10*numpy.log10(dataOut.data_SNR) | |
|
|
212 | if plot == 'dop': | |
|
|
213 | buffer = 10*numpy.log10(dataOut.data_DOP) | |
|
|
214 | if plot == 'mean': | |
|
|
215 | buffer = dataOut.data_MEAN | |
|
|
216 | if plot == 'std': | |
|
|
217 | buffer = dataOut.data_STD | |
|
|
218 | if plot == 'coh': | |
|
|
219 | buffer = dataOut.getCoherence() | |
|
|
220 | if plot == 'phase': | |
|
|
221 | buffer = dataOut.getCoherence(phase=True) | |
|
|
222 | if plot == 'output': | |
|
|
223 | buffer = dataOut.data_output | |
|
|
224 | if plot == 'param': | |
|
|
225 | buffer = dataOut.data_param | |
|
|
226 | ||
|
|
227 | if 'spc' in plot: | |
|
|
228 | self.data[plot] = buffer | |
|
|
229 | else: | |
|
|
230 | if self.buffering: | |
|
|
231 | self.data[plot][tm] = buffer | |
|
|
232 | else: | |
|
|
233 | self.data[plot] = buffer | |
|
|
234 | ||
|
|
235 | def normalize_heights(self): | |
|
|
236 | ''' | |
|
|
237 | Ensure same-dimension of the data for different heighList | |
|
|
238 | ''' | |
|
|
239 | ||
|
|
240 | H = numpy.array(list(self.__all_heights)) | |
|
|
241 | H.sort() | |
|
|
242 | for key in self.data: | |
|
|
243 | shape = self.shape(key)[:-1] + H.shape | |
|
|
244 | for tm, obj in list(self.data[key].items()): | |
|
|
245 | h = self.__heights[self.__times.index(tm)] | |
|
|
246 | if H.size == h.size: | |
|
|
247 | continue | |
|
|
248 | index = numpy.where(numpy.in1d(H, h))[0] | |
|
|
249 | dummy = numpy.zeros(shape) + numpy.nan | |
|
|
250 | if len(shape) == 2: | |
|
|
251 | dummy[:, index] = obj | |
|
|
252 | else: | |
|
|
253 | dummy[index] = obj | |
|
|
254 | self.data[key][tm] = dummy | |
|
|
255 | ||
|
|
256 | self.__heights = [H for tm in self.__times] | |
|
|
257 | ||
|
|
258 | def jsonify(self, decimate=False): | |
|
|
259 | ''' | |
|
|
260 | Convert data to json | |
|
|
261 | ''' | |
|
|
262 | ||
|
|
263 | data = {} | |
|
|
264 | tm = self.times[-1] | |
|
|
265 | dy = int(self.heights.size/MAXNUMY) + 1 | |
|
|
266 | for key in self.data: | |
|
|
267 | if key in ('spc', 'cspc') or not self.buffering: | |
|
|
268 | dx = int(self.data[key].shape[1]/MAXNUMX) + 1 | |
|
|
269 | data[key] = roundFloats(self.data[key][::, ::dx, ::dy].tolist()) | |
|
|
270 | else: | |
|
|
271 | data[key] = roundFloats(self.data[key][tm].tolist()) | |
|
|
272 | ||
|
|
273 | ret = {'data': data} | |
|
|
274 | ret['exp_code'] = self.exp_code | |
|
|
275 | ret['time'] = tm | |
|
|
276 | ret['interval'] = self.interval | |
|
|
277 | ret['localtime'] = self.localtime | |
|
|
278 | ret['yrange'] = roundFloats(self.heights[::dy].tolist()) | |
|
|
279 | if 'spc' in self.data or 'cspc' in self.data: | |
|
|
280 | ret['xrange'] = roundFloats(self.xrange[2][::dx].tolist()) | |
|
|
281 | else: | |
|
|
282 | ret['xrange'] = [] | |
|
|
283 | if hasattr(self, 'pairs'): | |
|
|
284 | ret['pairs'] = self.pairs | |
|
|
285 | else: | |
|
|
286 | ret['pairs'] = [] | |
|
|
287 | ||
|
|
288 | for key, value in list(self.meta.items()): | |
|
|
289 | ret[key] = value | |
|
|
290 | ||
|
|
291 | return json.dumps(ret) | |
|
|
292 | ||
|
|
293 | @property | |
|
|
294 | def times(self): | |
|
|
295 | ''' | |
|
|
296 | Return the list of times of the current data | |
|
|
297 | ''' | |
|
|
298 | ||
|
|
299 | ret = numpy.array(self.__times) | |
|
|
300 | ret.sort() | |
|
|
301 | return ret | |
|
|
302 | ||
|
|
303 | @property | |
|
|
304 | def heights(self): | |
|
|
305 | ''' | |
|
|
306 | Return the list of heights of the current data | |
|
|
307 | ''' | |
|
|
308 | ||
|
|
309 | return numpy.array(self.__heights[-1]) | |
|
|
310 | 60 | |
|
|
311 | 61 | class PublishData(Operation): |
|
|
312 | 62 | ''' |
|
|
313 | 63 | Operation to send data over zmq. |
|
|
314 | 64 | ''' |
|
|
315 | 65 | |
|
|
316 |
__attrs__ = ['host', 'port', 'delay', ' |
|
|
|
66 | __attrs__ = ['host', 'port', 'delay', 'verbose'] | |
|
|
317 | 67 | |
|
|
318 | 68 | def __init__(self, **kwargs): |
|
|
319 | 69 | """Inicio.""" |
|
|
320 | 70 | Operation.__init__(self, **kwargs) |
|
|
321 | 71 | self.isConfig = False |
|
|
322 | self.client = None | |
|
|
323 | self.zeromq = None | |
|
|
324 | self.mqtt = None | |
|
|
325 | 72 | |
|
|
326 | def on_disconnect(self, client, userdata, rc): | |
|
|
327 | if rc != 0: | |
|
|
328 | log.warning('Unexpected disconnection.') | |
|
|
329 | self.connect() | |
|
|
330 | ||
|
|
331 | def connect(self): | |
|
|
332 | log.warning('trying to connect') | |
|
|
333 | try: | |
|
|
334 | self.client.connect( | |
|
|
335 | host=self.host, | |
|
|
336 | port=self.port, | |
|
|
337 | keepalive=60*10, | |
|
|
338 | bind_address='') | |
|
|
339 | self.client.loop_start() | |
|
|
340 | # self.client.publish( | |
|
|
341 | # self.topic + 'SETUP', | |
|
|
342 | # json.dumps(setup), | |
|
|
343 | # retain=True | |
|
|
344 | # ) | |
|
|
345 | except: | |
|
|
346 | log.error('MQTT Conection error.') | |
|
|
347 | self.client = False | |
|
|
348 | ||
|
|
349 | def setup(self, port=1883, username=None, password=None, clientId="user", zeromq=1, verbose=True, **kwargs): | |
|
|
73 | def setup(self, server='zmq.pipe', delay=0, verbose=True, **kwargs): | |
|
|
350 | 74 | self.counter = 0 |
|
|
351 | self.topic = kwargs.get('topic', 'schain') | |
|
|
352 | 75 | self.delay = kwargs.get('delay', 0) |
|
|
353 | self.plottype = kwargs.get('plottype', 'spectra') | |
|
|
354 | self.host = kwargs.get('host', "10.10.10.82") | |
|
|
355 | self.port = kwargs.get('port', 3000) | |
|
|
356 | self.clientId = clientId | |
|
|
357 | 76 | self.cnt = 0 |
|
|
358 | self.zeromq = zeromq | |
|
|
359 | self.mqtt = kwargs.get('plottype', 0) | |
|
|
360 | self.client = None | |
|
|
361 | 77 | self.verbose = verbose |
|
|
362 | 78 | setup = [] |
|
|
363 | if mqtt is 1: | |
|
|
364 | self.client = mqtt.Client( | |
|
|
365 | client_id=self.clientId + self.topic + 'SCHAIN', | |
|
|
366 | clean_session=True) | |
|
|
367 | self.client.on_disconnect = self.on_disconnect | |
|
|
368 | self.connect() | |
|
|
369 | for plot in self.plottype: | |
|
|
370 | setup.append({ | |
|
|
371 | 'plot': plot, | |
|
|
372 | 'topic': self.topic + plot, | |
|
|
373 | 'title': getattr(self, plot + '_' + 'title', False), | |
|
|
374 | 'xlabel': getattr(self, plot + '_' + 'xlabel', False), | |
|
|
375 | 'ylabel': getattr(self, plot + '_' + 'ylabel', False), | |
|
|
376 | 'xrange': getattr(self, plot + '_' + 'xrange', False), | |
|
|
377 | 'yrange': getattr(self, plot + '_' + 'yrange', False), | |
|
|
378 | 'zrange': getattr(self, plot + '_' + 'zrange', False), | |
|
|
379 | }) | |
|
|
380 | if zeromq is 1: | |
|
|
381 | context = zmq.Context() | |
|
|
382 | self.zmq_socket = context.socket(zmq.PUSH) | |
|
|
383 | server = kwargs.get('server', 'zmq.pipe') | |
|
|
384 | ||
|
|
385 | if 'tcp://' in server: | |
|
|
386 | address = server | |
|
|
387 | else: | |
|
|
388 | address = 'ipc:///tmp/%s' % server | |
|
|
389 | ||
|
|
390 | self.zmq_socket.connect(address) | |
|
|
391 | time.sleep(1) | |
|
|
79 | context = zmq.Context() | |
|
|
80 | self.zmq_socket = context.socket(zmq.PUSH) | |
|
|
81 | server = kwargs.get('server', 'zmq.pipe') | |
|
|
82 | ||
|
|
83 | if 'tcp://' in server: | |
|
|
84 | address = server | |
|
|
85 | else: | |
|
|
86 | address = 'ipc:///tmp/%s' % server | |
|
|
87 | ||
|
|
88 | self.zmq_socket.connect(address) | |
|
|
89 | time.sleep(1) | |
|
|
392 | 90 | |
|
|
393 | 91 | |
|
|
394 | 92 | def publish_data(self): |
|
|
395 | 93 | self.dataOut.finished = False |
|
|
396 | if self.mqtt is 1: | |
|
|
397 | yData = self.dataOut.heightList[:2].tolist() | |
|
|
398 | if self.plottype == 'spectra': | |
|
|
399 | data = getattr(self.dataOut, 'data_spc') | |
|
|
400 |
|
|
|
|
401 | zdB = 10*numpy.log10(z) | |
|
|
402 | xlen, ylen = zdB[0].shape | |
|
|
403 | dx = int(xlen/MAXNUMX) + 1 | |
|
|
404 | dy = int(ylen/MAXNUMY) + 1 | |
|
|
405 | Z = [0 for i in self.dataOut.channelList] | |
|
|
406 | for i in self.dataOut.channelList: | |
|
|
407 | Z[i] = zdB[i][::dx, ::dy].tolist() | |
|
|
408 | payload = { | |
|
|
409 | 'timestamp': self.dataOut.utctime, | |
|
|
410 | 'data': roundFloats(Z), | |
|
|
411 | 'channels': ['Ch %s' % ch for ch in self.dataOut.channelList], | |
|
|
412 | 'interval': self.dataOut.getTimeInterval(), | |
|
|
413 | 'type': self.plottype, | |
|
|
414 | 'yData': yData | |
|
|
415 | } | |
|
|
416 | ||
|
|
417 | elif self.plottype in ('rti', 'power'): | |
|
|
418 | data = getattr(self.dataOut, 'data_spc') | |
|
|
419 | z = data/self.dataOut.normFactor | |
|
|
420 | avg = numpy.average(z, axis=1) | |
|
|
421 | avgdB = 10*numpy.log10(avg) | |
|
|
422 | xlen, ylen = z[0].shape | |
|
|
423 | dy = numpy.floor(ylen/self.__MAXNUMY) + 1 | |
|
|
424 | AVG = [0 for i in self.dataOut.channelList] | |
|
|
425 | for i in self.dataOut.channelList: | |
|
|
426 | AVG[i] = avgdB[i][::dy].tolist() | |
|
|
427 | payload = { | |
|
|
428 | 'timestamp': self.dataOut.utctime, | |
|
|
429 | 'data': roundFloats(AVG), | |
|
|
430 | 'channels': ['Ch %s' % ch for ch in self.dataOut.channelList], | |
|
|
431 | 'interval': self.dataOut.getTimeInterval(), | |
|
|
432 | 'type': self.plottype, | |
|
|
433 | 'yData': yData | |
|
|
434 | } | |
|
|
435 | elif self.plottype == 'noise': | |
|
|
436 | noise = self.dataOut.getNoise()/self.dataOut.normFactor | |
|
|
437 | noisedB = 10*numpy.log10(noise) | |
|
|
438 | payload = { | |
|
|
439 | 'timestamp': self.dataOut.utctime, | |
|
|
440 | 'data': roundFloats(noisedB.reshape(-1, 1).tolist()), | |
|
|
441 | 'channels': ['Ch %s' % ch for ch in self.dataOut.channelList], | |
|
|
442 | 'interval': self.dataOut.getTimeInterval(), | |
|
|
443 | 'type': self.plottype, | |
|
|
444 | 'yData': yData | |
|
|
445 | } | |
|
|
446 | elif self.plottype == 'snr': | |
|
|
447 | data = getattr(self.dataOut, 'data_SNR') | |
|
|
448 | avgdB = 10*numpy.log10(data) | |
|
|
449 | ||
|
|
450 | ylen = data[0].size | |
|
|
451 | dy = numpy.floor(ylen/self.__MAXNUMY) + 1 | |
|
|
452 | AVG = [0 for i in self.dataOut.channelList] | |
|
|
453 | for i in self.dataOut.channelList: | |
|
|
454 | AVG[i] = avgdB[i][::dy].tolist() | |
|
|
455 | payload = { | |
|
|
456 | 'timestamp': self.dataOut.utctime, | |
|
|
457 | 'data': roundFloats(AVG), | |
|
|
458 | 'channels': ['Ch %s' % ch for ch in self.dataOut.channelList], | |
|
|
459 | 'type': self.plottype, | |
|
|
460 | 'yData': yData | |
|
|
461 | } | |
|
|
462 | else: | |
|
|
463 | print("Tipo de grafico invalido") | |
|
|
464 | payload = { | |
|
|
465 | 'data': 'None', | |
|
|
466 | 'timestamp': 'None', | |
|
|
467 | 'type': None | |
|
|
468 | } | |
|
|
469 | ||
|
|
470 | self.client.publish(self.topic + self.plottype, json.dumps(payload), qos=0) | |
|
|
471 | ||
|
|
472 | if self.zeromq is 1: | |
|
|
473 | if self.verbose: | |
|
|
474 | log.log( | |
|
|
475 | 'Sending {} - {}'.format(self.dataOut.type, self.dataOut.datatime), | |
|
|
476 | self.name | |
|
|
477 | ) | |
|
|
478 | self.zmq_socket.send_pyobj(self.dataOut) | |
|
|
94 | ||
|
|
95 | if self.verbose: | |
|
|
96 | log.log( | |
|
|
97 | 'Sending {} - {}'.format(self.dataOut.type, self.dataOut.datatime), | |
|
|
98 | self.name | |
|
|
99 | ) | |
|
|
100 | self.zmq_socket.send_pyobj(self.dataOut) | |
|
|
479 | 101 | |
|
|
480 | 102 | def run(self, dataOut, **kwargs): |
|
|
481 | 103 | self.dataOut = dataOut |
|
|
482 | 104 | if not self.isConfig: |
|
|
483 | 105 | self.setup(**kwargs) |
|
|
484 | 106 | self.isConfig = True |
|
|
485 | 107 | |
|
|
486 | 108 | self.publish_data() |
|
|
487 | 109 | time.sleep(self.delay) |
|
|
488 | 110 | |
|
|
489 | 111 | def close(self): |
|
|
490 | if self.zeromq is 1: | |
|
|
491 |
|
|
|
|
492 |
|
|
|
|
493 |
|
|
|
|
494 |
|
|
|
|
495 | if self.client: | |
|
|
496 | self.client.loop_stop() | |
|
|
497 | self.client.disconnect() | |
|
|
498 | ||
|
|
112 | ||
|
|
113 | self.dataOut.finished = True | |
|
|
114 | self.zmq_socket.send_pyobj(self.dataOut) | |
|
|
115 | time.sleep(0.1) | |
|
|
116 | self.zmq_socket.close() | |
|
|
117 | ||
|
|
499 | 118 | |
|
|
500 | 119 | class ReceiverData(ProcessingUnit): |
|
|
501 | 120 | |
|
|
502 | 121 | __attrs__ = ['server'] |
|
|
503 | 122 | |
|
|
504 | 123 | def __init__(self, **kwargs): |
|
|
505 | 124 | |
|
|
506 | 125 | ProcessingUnit.__init__(self, **kwargs) |
|
|
507 | 126 | |
|
|
508 | 127 | self.isConfig = False |
|
|
509 | 128 | server = kwargs.get('server', 'zmq.pipe') |
|
|
510 | 129 | if 'tcp://' in server: |
|
|
511 | 130 | address = server |
|
|
512 | 131 | else: |
|
|
513 | 132 | address = 'ipc:///tmp/%s' % server |
|
|
514 | 133 | |
|
|
515 | 134 | self.address = address |
|
|
516 | 135 | self.dataOut = JROData() |
|
|
517 | 136 | |
|
|
518 | 137 | def setup(self): |
|
|
519 | 138 | |
|
|
520 | 139 | self.context = zmq.Context() |
|
|
521 | 140 | self.receiver = self.context.socket(zmq.PULL) |
|
|
522 | 141 | self.receiver.bind(self.address) |
|
|
523 | 142 | time.sleep(0.5) |
|
|
524 | 143 | log.success('ReceiverData from {}'.format(self.address)) |
|
|
525 | 144 | |
|
|
526 | 145 | |
|
|
527 | 146 | def run(self): |
|
|
528 | 147 | |
|
|
529 | 148 | if not self.isConfig: |
|
|
530 | 149 | self.setup() |
|
|
531 | 150 | self.isConfig = True |
|
|
532 | 151 | |
|
|
533 | 152 | self.dataOut = self.receiver.recv_pyobj() |
|
|
534 | 153 | log.log('{} - {}'.format(self.dataOut.type, |
|
|
535 | 154 | self.dataOut.datatime.ctime(),), |
|
|
536 | 155 | 'Receiving') |
|
|
537 | 156 | |
|
|
538 | 157 | |
|
|
539 | class PlotterReceiver(ProcessingUnit, Process): | |
|
|
540 | ||
|
|
541 | throttle_value = 5 | |
|
|
542 | __attrs__ = ['server', 'plottypes', 'realtime', 'localtime', 'throttle', | |
|
|
543 | 'exp_code', 'web_server', 'buffering'] | |
|
|
544 | ||
|
|
545 | def __init__(self, **kwargs): | |
|
|
546 | ||
|
|
547 | ProcessingUnit.__init__(self, **kwargs) | |
|
|
548 | Process.__init__(self) | |
|
|
549 | self.mp = False | |
|
|
550 | self.isConfig = False | |
|
|
551 | self.isWebConfig = False | |
|
|
552 | self.connections = 0 | |
|
|
553 | server = kwargs.get('server', 'zmq.pipe') | |
|
|
554 | web_server = kwargs.get('web_server', None) | |
|
|
555 | if 'tcp://' in server: | |
|
|
556 | address = server | |
|
|
557 | else: | |
|
|
558 | address = 'ipc:///tmp/%s' % server | |
|
|
559 | self.address = address | |
|
|
560 | self.web_address = web_server | |
|
|
561 | self.plottypes = [s.strip() for s in kwargs.get('plottypes', 'rti').split(',')] | |
|
|
562 | self.realtime = kwargs.get('realtime', False) | |
|
|
563 | self.localtime = kwargs.get('localtime', True) | |
|
|
564 | self.buffering = kwargs.get('buffering', True) | |
|
|
565 | self.throttle_value = kwargs.get('throttle', 5) | |
|
|
566 | self.exp_code = kwargs.get('exp_code', None) | |
|
|
567 | self.sendData = self.initThrottle(self.throttle_value) | |
|
|
568 | self.dates = [] | |
|
|
569 | self.setup() | |
|
|
570 | ||
|
|
571 | def setup(self): | |
|
|
572 | ||
|
|
573 | self.data = Data(self.plottypes, self.throttle_value, self.exp_code, self.buffering) | |
|
|
574 | self.isConfig = True | |
|
|
575 | ||
|
|
576 | def event_monitor(self, monitor): | |
|
|
577 | ||
|
|
578 | events = {} | |
|
|
579 | ||
|
|
580 | for name in dir(zmq): | |
|
|
581 | if name.startswith('EVENT_'): | |
|
|
582 | value = getattr(zmq, name) | |
|
|
583 | events[value] = name | |
|
|
584 | ||
|
|
585 | while monitor.poll(): | |
|
|
586 | evt = recv_monitor_message(monitor) | |
|
|
587 | if evt['event'] == 32: | |
|
|
588 | self.connections += 1 | |
|
|
589 | if evt['event'] == 512: | |
|
|
590 | pass | |
|
|
591 | ||
|
|
592 | evt.update({'description': events[evt['event']]}) | |
|
|
593 | ||
|
|
594 | if evt['event'] == zmq.EVENT_MONITOR_STOPPED: | |
|
|
595 | break | |
|
|
596 | monitor.close() | |
|
|
597 | print('event monitor thread done!') | |
|
|
598 | ||
|
|
599 | def initThrottle(self, throttle_value): | |
|
|
600 | ||
|
|
601 | @throttle(seconds=throttle_value) | |
|
|
602 | def sendDataThrottled(fn_sender, data): | |
|
|
603 | fn_sender(data) | |
|
|
604 | ||
|
|
605 | return sendDataThrottled | |
|
|
606 | ||
|
|
607 | def send(self, data): | |
|
|
608 | log.log('Sending {}'.format(data), self.name) | |
|
|
609 | self.sender.send_pyobj(data) | |
|
|
610 | ||
|
|
611 | def run(self): | |
|
|
612 | ||
|
|
613 | log.log( | |
|
|
614 | 'Starting from {}'.format(self.address), | |
|
|
615 | self.name | |
|
|
616 | ) | |
|
|
617 | ||
|
|
618 | self.context = zmq.Context() | |
|
|
619 | self.receiver = self.context.socket(zmq.PULL) | |
|
|
620 | self.receiver.bind(self.address) | |
|
|
621 | monitor = self.receiver.get_monitor_socket() | |
|
|
622 | self.sender = self.context.socket(zmq.PUB) | |
|
|
623 | if self.web_address: | |
|
|
624 | log.success( | |
|
|
625 | 'Sending to web: {}'.format(self.web_address), | |
|
|
626 | self.name | |
|
|
627 | ) | |
|
|
628 | self.sender_web = self.context.socket(zmq.REQ) | |
|
|
629 | self.sender_web.connect(self.web_address) | |
|
|
630 | self.poll = zmq.Poller() | |
|
|
631 | self.poll.register(self.sender_web, zmq.POLLIN) | |
|
|
632 | time.sleep(1) | |
|
|
633 | ||
|
|
634 | if 'server' in self.kwargs: | |
|
|
635 | self.sender.bind("ipc:///tmp/{}.plots".format(self.kwargs['server'])) | |
|
|
636 | else: | |
|
|
637 | self.sender.bind("ipc:///tmp/zmq.plots") | |
|
|
638 | ||
|
|
639 | time.sleep(2) | |
|
|
640 | ||
|
|
641 | t = Thread(target=self.event_monitor, args=(monitor,)) | |
|
|
642 | t.start() | |
|
|
643 | ||
|
|
644 | while True: | |
|
|
645 | dataOut = self.receiver.recv_pyobj() | |
|
|
646 | if not dataOut.flagNoData: | |
|
|
647 | if dataOut.type == 'Parameters': | |
|
|
648 | tm = dataOut.utctimeInit | |
|
|
649 | else: | |
|
|
650 | tm = dataOut.utctime | |
|
|
651 | if dataOut.useLocalTime: | |
|
|
652 | if not self.localtime: | |
|
|
653 | tm += time.timezone | |
|
|
654 | dt = datetime.datetime.fromtimestamp(tm).date() | |
|
|
655 | else: | |
|
|
656 | if self.localtime: | |
|
|
657 | tm -= time.timezone | |
|
|
658 | dt = datetime.datetime.utcfromtimestamp(tm).date() | |
|
|
659 | coerce = False | |
|
|
660 | if dt not in self.dates: | |
|
|
661 | if self.data: | |
|
|
662 | self.data.ended = True | |
|
|
663 | self.send(self.data) | |
|
|
664 | coerce = True | |
|
|
665 | self.data.setup() | |
|
|
666 | self.dates.append(dt) | |
|
|
667 | ||
|
|
668 | self.data.update(dataOut, tm) | |
|
|
669 | ||
|
|
670 | if dataOut.finished is True: | |
|
|
671 | self.connections -= 1 | |
|
|
672 | if self.connections == 0 and dt in self.dates: | |
|
|
673 | self.data.ended = True | |
|
|
674 | self.send(self.data) | |
|
|
675 | # self.data.setup() | |
|
|
676 | time.sleep(1) | |
|
|
677 | break | |
|
|
678 | else: | |
|
|
679 | if self.realtime: | |
|
|
680 | self.send(self.data) | |
|
|
681 | if self.web_address: | |
|
|
682 | retries = 5 | |
|
|
683 | while True: | |
|
|
684 | self.sender_web.send(self.data.jsonify()) | |
|
|
685 | socks = dict(self.poll.poll(5000)) | |
|
|
686 | if socks.get(self.sender_web) == zmq.POLLIN: | |
|
|
687 | reply = self.sender_web.recv_string() | |
|
|
688 | if reply == 'ok': | |
|
|
689 | log.log("Response from server ok", self.name) | |
|
|
690 | break | |
|
|
691 | else: | |
|
|
692 | log.warning("Malformed reply from server: {}".format(reply), self.name) | |
|
|
693 | ||
|
|
694 | else: | |
|
|
695 | log.warning("No response from server, retrying...", self.name) | |
|
|
696 | self.sender_web.setsockopt(zmq.LINGER, 0) | |
|
|
697 | self.sender_web.close() | |
|
|
698 | self.poll.unregister(self.sender_web) | |
|
|
699 | retries -= 1 | |
|
|
700 | if retries == 0: | |
|
|
701 | log.error("Server seems to be offline, abandoning", self.name) | |
|
|
702 | self.sender_web = self.context.socket(zmq.REQ) | |
|
|
703 | self.sender_web.connect(self.web_address) | |
|
|
704 | self.poll.register(self.sender_web, zmq.POLLIN) | |
|
|
705 | time.sleep(1) | |
|
|
706 | break | |
|
|
707 | self.sender_web = self.context.socket(zmq.REQ) | |
|
|
708 | self.sender_web.connect(self.web_address) | |
|
|
709 | self.poll.register(self.sender_web, zmq.POLLIN) | |
|
|
710 | time.sleep(1) | |
|
|
711 | else: | |
|
|
712 | self.sendData(self.send, self.data, coerce=coerce) | |
|
|
713 | coerce = False | |
|
|
714 | ||
|
|
715 | return | |
|
|
716 | ||
|
|
717 | ||
|
|
718 | 158 | class SendToFTP(Operation, Process): |
|
|
719 | 159 | |
|
|
720 | 160 | ''' |
|
|
721 | 161 | Operation to send data over FTP. |
|
|
722 | 162 | ''' |
|
|
723 | 163 | |
|
|
724 | 164 | __attrs__ = ['server', 'username', 'password', 'patterns', 'timeout'] |
|
|
725 | 165 | |
|
|
726 | 166 | def __init__(self, **kwargs): |
|
|
727 | 167 | ''' |
|
|
728 | 168 | patterns = [(local1, remote1, ext, delay, exp_code, sub_exp_code), ...] |
|
|
729 | 169 | ''' |
|
|
730 | 170 | Operation.__init__(self, **kwargs) |
|
|
731 | 171 | Process.__init__(self) |
|
|
732 | 172 | self.server = kwargs.get('server') |
|
|
733 | 173 | self.username = kwargs.get('username') |
|
|
734 | 174 | self.password = kwargs.get('password') |
|
|
735 | 175 | self.patterns = kwargs.get('patterns') |
|
|
736 | 176 | self.timeout = kwargs.get('timeout', 30) |
|
|
737 | 177 | self.times = [time.time() for p in self.patterns] |
|
|
738 | 178 | self.latest = ['' for p in self.patterns] |
|
|
739 | 179 | self.mp = False |
|
|
740 | 180 | self.ftp = None |
|
|
741 | 181 | |
|
|
742 | 182 | def setup(self): |
|
|
743 | 183 | |
|
|
744 | 184 | log.log('Connecting to ftp://{}'.format(self.server), self.name) |
|
|
745 | 185 | try: |
|
|
746 | 186 | self.ftp = ftplib.FTP(self.server, timeout=self.timeout) |
|
|
747 | 187 | except ftplib.all_errors: |
|
|
748 | 188 | log.error('Server connection fail: {}'.format(self.server), self.name) |
|
|
749 | 189 | if self.ftp is not None: |
|
|
750 | 190 | self.ftp.close() |
|
|
751 | 191 | self.ftp = None |
|
|
752 | 192 | self.isConfig = False |
|
|
753 | 193 | return |
|
|
754 | 194 | |
|
|
755 | 195 | try: |
|
|
756 | 196 | self.ftp.login(self.username, self.password) |
|
|
757 | 197 | except ftplib.all_errors: |
|
|
758 | 198 | log.error('The given username y/o password are incorrect', self.name) |
|
|
759 | 199 | if self.ftp is not None: |
|
|
760 | 200 | self.ftp.close() |
|
|
761 | 201 | self.ftp = None |
|
|
762 | 202 | self.isConfig = False |
|
|
763 | 203 | return |
|
|
764 | 204 | |
|
|
765 | 205 | log.success('Connection success', self.name) |
|
|
766 | 206 | self.isConfig = True |
|
|
767 | 207 | return |
|
|
768 | 208 | |
|
|
769 | 209 | def check(self): |
|
|
770 | 210 | |
|
|
771 | 211 | try: |
|
|
772 | 212 | self.ftp.voidcmd("NOOP") |
|
|
773 | 213 | except: |
|
|
774 | 214 | log.warning('Connection lost... trying to reconnect', self.name) |
|
|
775 | 215 | if self.ftp is not None: |
|
|
776 | 216 | self.ftp.close() |
|
|
777 | 217 | self.ftp = None |
|
|
778 | 218 | self.setup() |
|
|
779 | 219 | |
|
|
780 | 220 | def find_files(self, path, ext): |
|
|
781 | 221 | |
|
|
782 | 222 | files = glob.glob1(path, '*{}'.format(ext)) |
|
|
783 | 223 | files.sort() |
|
|
784 | 224 | if files: |
|
|
785 | 225 | return files[-1] |
|
|
786 | 226 | return None |
|
|
787 | 227 | |
|
|
788 | 228 | def getftpname(self, filename, exp_code, sub_exp_code): |
|
|
789 | 229 | |
|
|
790 | 230 | thisDatetime = datetime.datetime.strptime(filename.split('_')[1], '%Y%m%d') |
|
|
791 | 231 | YEAR_STR = '%4.4d'%thisDatetime.timetuple().tm_year |
|
|
792 | 232 | DOY_STR = '%3.3d'%thisDatetime.timetuple().tm_yday |
|
|
793 | 233 | exp_code = '%3.3d'%exp_code |
|
|
794 | 234 | sub_exp_code = '%2.2d'%sub_exp_code |
|
|
795 | 235 | plot_code = '%2.2d'% get_plot_code(filename) |
|
|
796 | 236 | name = YEAR_STR + DOY_STR + '00' + exp_code + sub_exp_code + plot_code + '00.png' |
|
|
797 | 237 | return name |
|
|
798 | 238 | |
|
|
799 | 239 | def upload(self, src, dst): |
|
|
800 | 240 | |
|
|
801 | 241 | log.log('Uploading {} '.format(src), self.name, nl=False) |
|
|
802 | 242 | |
|
|
803 | 243 | fp = open(src, 'rb') |
|
|
804 | 244 | command = 'STOR {}'.format(dst) |
|
|
805 | 245 | |
|
|
806 | 246 | try: |
|
|
807 | 247 | self.ftp.storbinary(command, fp, blocksize=1024) |
|
|
808 | 248 | except Exception as e: |
|
|
809 | 249 | log.error('{}'.format(e), self.name) |
|
|
810 | 250 | if self.ftp is not None: |
|
|
811 | 251 | self.ftp.close() |
|
|
812 | 252 | self.ftp = None |
|
|
813 | 253 | return 0 |
|
|
814 | 254 | |
|
|
815 | 255 | try: |
|
|
816 | 256 | self.ftp.sendcmd('SITE CHMOD 755 {}'.format(dst)) |
|
|
817 | 257 | except Exception as e: |
|
|
818 | 258 | log.error('{}'.format(e), self.name) |
|
|
819 | 259 | if self.ftp is not None: |
|
|
820 | 260 | self.ftp.close() |
|
|
821 | 261 | self.ftp = None |
|
|
822 | 262 | return 0 |
|
|
823 | 263 | |
|
|
824 | 264 | fp.close() |
|
|
825 | 265 | log.success('OK', tag='') |
|
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826 | 266 | return 1 |
|
|
827 | 267 | |
|
|
828 | 268 | def send_files(self): |
|
|
829 | 269 | |
|
|
830 | 270 | for x, pattern in enumerate(self.patterns): |
|
|
831 | 271 | local, remote, ext, delay, exp_code, sub_exp_code = pattern |
|
|
832 | 272 | if time.time()-self.times[x] >= delay: |
|
|
833 | 273 | srcname = self.find_files(local, ext) |
|
|
834 | 274 | src = os.path.join(local, srcname) |
|
|
835 | 275 | if os.path.getmtime(src) < time.time() - 30*60: |
|
|
836 | 276 | continue |
|
|
837 | 277 | |
|
|
838 | 278 | if srcname is None or srcname == self.latest[x]: |
|
|
839 | 279 | continue |
|
|
840 | 280 | |
|
|
841 | 281 | if 'png' in ext: |
|
|
842 | 282 | dstname = self.getftpname(srcname, exp_code, sub_exp_code) |
|
|
843 | 283 | else: |
|
|
844 | 284 | dstname = srcname |
|
|
845 | 285 | |
|
|
846 | 286 | dst = os.path.join(remote, dstname) |
|
|
847 | 287 | |
|
|
848 | 288 | if self.upload(src, dst): |
|
|
849 | 289 | self.times[x] = time.time() |
|
|
850 | 290 | self.latest[x] = srcname |
|
|
851 | 291 | else: |
|
|
852 | 292 | self.isConfig = False |
|
|
853 | 293 | break |
|
|
854 | 294 | |
|
|
855 | 295 | def run(self): |
|
|
856 | 296 | |
|
|
857 | 297 | while True: |
|
|
858 | 298 | if not self.isConfig: |
|
|
859 | 299 | self.setup() |
|
|
860 | 300 | if self.ftp is not None: |
|
|
861 | 301 | self.check() |
|
|
862 | 302 | self.send_files() |
|
|
863 | 303 | time.sleep(10) |
|
|
864 | 304 | |
|
|
865 | 305 | def close(): |
|
|
866 | 306 | |
|
|
867 | 307 | if self.ftp is not None: |
|
|
868 | 308 | self.ftp.close() |
|
|
869 | 309 | self.terminate() No newline at end of file |
|
|
1 | NO CONTENT: file was removed |
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