1 | """Automated testing for simulation |
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2 | |
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3 | To be compatible with testcase_generator, a simulus |
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4 | class must have: |
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5 | setup(self): to initialize the test-case |
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6 | getRandomStimulus(self): to get a random stimulus name |
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7 | stimuli that inherit from the Stimulus class |
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8 | |
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9 | @copyright: University of Tennessee, 2007 |
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10 | @license: This software is provided as part of the DANSE project. |
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11 | |
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12 | """ |
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13 | |
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14 | import testcase_generator as generator |
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15 | from testcase_generator import Stimulus |
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16 | try: |
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17 | import VolumeCanvas |
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18 | print "Testing local VolumeCanvas\n" |
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19 | except: |
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20 | import sans.realspace.VolumeCanvas as VolumeCanvas |
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21 | |
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22 | def randomModel(): |
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23 | """ Return a random model name """ |
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24 | from random import random |
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25 | from math import floor |
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26 | |
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27 | model_list = ['sphere', 'cylinder', 'ellipsoid', 'singlehelix'] |
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28 | rnd_id = int(floor(random()*len(model_list))) |
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29 | |
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30 | return model_list[rnd_id] |
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31 | |
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32 | |
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33 | class Simulation: |
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34 | """Simulation testing class""" |
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35 | |
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36 | # Probability of stopping a test case without |
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37 | # adding additional stimuli |
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38 | end_frequency = 0.1 |
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39 | |
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40 | def __init__(self): |
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41 | self.end_flag = False |
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42 | |
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43 | def reset(self): |
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44 | self.end_flag = False |
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45 | |
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46 | def setup(self): |
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47 | """Setup the canvas for stimuli application""" |
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48 | return VolumeCanvas.VolumeCanvas() |
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49 | |
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50 | def getRandomStimulus(self): |
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51 | """Return the name of a random stimulus""" |
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52 | |
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53 | from random import random |
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54 | |
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55 | # If the end flag is up, compute I(q) one last time |
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56 | if self.end_flag == True: |
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57 | return None |
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58 | |
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59 | # Get the list of stimuli |
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60 | attrs = dir(self) |
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61 | stim_list = [] |
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62 | |
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63 | # Get the list of simuli and |
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64 | # compute the total normalization |
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65 | sum = 0 |
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66 | for item in attrs: |
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67 | if item.endswith('Stimulus'): |
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68 | obj = getattr(self, item) |
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69 | if hasattr(obj, 'frequency'): |
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70 | stim_list.append(item) |
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71 | sum += getattr(self, item).frequency |
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72 | |
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73 | # Choose a stimulus |
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74 | rnd = random() |
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75 | |
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76 | # Check if we need to stop |
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77 | if rnd < self.end_frequency: |
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78 | self.end_flag = True |
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79 | return "GetIq" |
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80 | |
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81 | run_sum = 0 |
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82 | for item in stim_list: |
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83 | run_sum += getattr(self, item).frequency/sum |
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84 | if run_sum >= rnd: |
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85 | pos = item.index('Stimulus') |
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86 | |
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87 | return item[0:pos] |
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88 | |
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89 | class AddStimulus(Stimulus): |
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90 | """Add an object to the canvas""" |
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91 | |
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92 | frequency = 1.0 |
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93 | |
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94 | def __call__(self, canvas): |
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95 | """Apply stimulus""" |
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96 | report = generator.StimulusReport(tag=self.name) |
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97 | |
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98 | # Select random model |
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99 | add_model = randomModel() |
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100 | |
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101 | # Add the model |
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102 | handle = canvas.add(add_model) |
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103 | |
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104 | # Check that it is in the list of objects |
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105 | if handle in canvas.getShapeList(): |
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106 | report.passed = 1 |
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107 | else: |
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108 | report.log = "Add: tried to add %s" % add_model |
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109 | |
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110 | report.trace = "Added %s" % add_model |
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111 | |
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112 | return canvas, report |
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113 | |
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114 | class GetParamStimulus(Stimulus): |
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115 | """Get the value of a canvas or shape parameter""" |
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116 | |
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117 | frequency = 1.0 |
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118 | |
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119 | def __call__(self, canvas): |
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120 | """Apply stimulus""" |
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121 | from random import random |
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122 | import math |
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123 | |
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124 | report = generator.StimulusReport(tag=self.name) |
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125 | |
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126 | # Read a parameter |
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127 | #TODO: access shape parameters |
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128 | rnd = random() |
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129 | i_rnd = int(math.floor(rnd*len(canvas.params))) |
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130 | par_name = canvas.params.keys()[i_rnd] |
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131 | value = canvas.getParam(par_name) |
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132 | |
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133 | # Check that it is in the list of objects |
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134 | try: |
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135 | float(value) |
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136 | report.passed = 1 |
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137 | except: |
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138 | report.log = "get: bad value for [%s]" % par_name |
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139 | |
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140 | report.trace = "Read %s" % par_name |
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141 | |
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142 | return canvas, report |
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143 | |
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144 | class GetIqStimulus(Stimulus): |
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145 | """Calculate I(q)""" |
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146 | |
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147 | frequency = 1.0 |
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148 | |
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149 | def __call__(self, canvas): |
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150 | report = generator.StimulusReport(tag=self.name) |
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151 | |
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152 | # Check that a float is returned |
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153 | # Validation testing will be done elsewhere |
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154 | value = canvas.getIq(0.1) |
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155 | |
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156 | # Check that it is in the list of objects |
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157 | try: |
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158 | float(value) |
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159 | report.passed = 1 |
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160 | except: |
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161 | report.log = "GetIq: bad value for Iq "+str(value) |
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162 | |
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163 | report.trace = "I(q) = %g" % value |
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164 | return canvas, report |
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165 | |
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166 | class GetIq2DStimulus(Stimulus): |
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167 | """Calculate I(q)""" |
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168 | |
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169 | frequency = 1.0 |
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170 | |
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171 | def __call__(self, canvas): |
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172 | report = generator.StimulusReport(tag=self.name) |
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173 | |
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174 | # Check that a float is returned |
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175 | # Validation testing will be done elsewhere |
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176 | value = canvas.getIq2D(0.01,0.01) |
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177 | |
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178 | # Check that it is in the list of objects |
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179 | try: |
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180 | float(value) |
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181 | report.passed = 1 |
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182 | except: |
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183 | report.log = "GetIq2D: bad value for Iq "+str(value) |
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184 | |
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185 | report.trace = "I(q) = %g" % value |
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186 | return canvas, report |
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187 | |
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188 | class SetCanvasParamStimulus(Stimulus): |
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189 | """Set the value of a canvas parameter""" |
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190 | |
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191 | frequency = 1.0 |
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192 | |
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193 | def __call__(self, canvas): |
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194 | """Apply stimulus""" |
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195 | from random import random |
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196 | import math |
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197 | |
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198 | report = generator.StimulusReport(tag=self.name) |
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199 | |
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200 | # Read a parameter |
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201 | rnd = random() |
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202 | i_rnd = int(math.floor(rnd*len(canvas.params))) |
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203 | par_name = canvas.params.keys()[i_rnd] |
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204 | |
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205 | # Get current value |
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206 | current = canvas.getParam(par_name) |
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207 | |
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208 | # Set new value |
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209 | rnd2 = random() |
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210 | new_value = current*(1.0+rnd2) |
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211 | canvas.setParam(par_name, new_value) |
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212 | |
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213 | # Read it back |
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214 | current = canvas.getParam(par_name) |
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215 | |
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216 | # Check that the new value is correct |
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217 | if current == new_value: |
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218 | report.passed = 1 |
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219 | else: |
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220 | report.log = "get: bad value for [%s]" % par_name |
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221 | |
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222 | report.trace = "Read %s" % par_name |
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223 | |
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224 | return canvas, report |
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225 | |
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226 | class SetShapeParamStimulus(Stimulus): |
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227 | """Set the value of a canvas parameter""" |
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228 | |
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229 | frequency = 1.0 |
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230 | |
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231 | def __call__(self, canvas): |
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232 | """Apply stimulus""" |
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233 | from random import random |
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234 | import math |
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235 | |
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236 | report = generator.StimulusReport(tag=self.name) |
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237 | |
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238 | # Read a parameter |
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239 | rnd = random() |
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240 | shape_list = canvas.getShapeList() |
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241 | |
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242 | if len(shape_list)==0: |
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243 | # No object available, let's test an error condition |
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244 | try: |
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245 | canvas.setParam("shape0.test-radius", 1.0) |
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246 | report.log = "SetShapeParam: set didn't throw exception" |
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247 | except: |
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248 | report.passed = 1 |
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249 | report.trace = "SetShapeParam: testing failure behavior" |
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250 | |
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251 | else: |
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252 | i_rnd = int(math.floor(rnd*len(shape_list))) |
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253 | shape_name = shape_list[i_rnd] |
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254 | |
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255 | found = False |
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256 | while found==False: |
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257 | rnd2 = random() |
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258 | par_keys = canvas.shapes[shape_name].params.keys() |
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259 | i_rnd2 = int(math.floor(rnd2*(len(par_keys)))) |
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260 | |
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261 | short_name = par_keys[i_rnd2] |
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262 | par_name = "%s.%s" % (shape_name, short_name) |
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263 | if not short_name.lower() == "type": |
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264 | found= True |
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265 | |
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266 | # Get current value |
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267 | current = canvas.getParam(par_name) |
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268 | |
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269 | # Set new value |
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270 | if short_name in ['orientation', 'center']: |
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271 | new_value = [random(), random(), random()] |
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272 | else: |
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273 | new_value = current*(1.0+random()) |
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274 | |
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275 | canvas.setParam(par_name, new_value) |
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276 | |
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277 | # Read it back |
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278 | current = canvas.getParam(par_name) |
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279 | |
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280 | # Check that the new value is correct |
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281 | if current == new_value: |
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282 | report.passed = 1 |
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283 | else: |
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284 | report.log = "get: bad value for [%s]" % par_name |
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285 | |
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286 | report.trace = "Read %s" % par_name |
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287 | |
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288 | return canvas, report |
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289 | |
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290 | |
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291 | class RemoveStimulus(Stimulus): |
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292 | """Calculate I(q)""" |
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293 | |
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294 | frequency = 1.0 |
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295 | |
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296 | def __call__(self, canvas): |
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297 | from random import random |
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298 | import math |
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299 | |
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300 | report = generator.StimulusReport(tag=self.name) |
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301 | |
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302 | # Get list of shapes |
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303 | if len(canvas.shapes)>0: |
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304 | rnd = random() |
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305 | i_rnd = int(math.floor(rnd*len(canvas.shapes))) |
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306 | shape_name = canvas.shapes.keys()[i_rnd] |
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307 | |
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308 | canvas.delete(shape_name) |
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309 | if shape_name in canvas.shapes.keys() \ |
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310 | or shape_name in canvas.getShapeList(): |
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311 | report.log = "Remove: object was not removed" |
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312 | else: |
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313 | report.passed = 1 |
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314 | |
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315 | else: |
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316 | # No shape to remove: test bad remove call |
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317 | try: |
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318 | canvas.delete("test-shape") |
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319 | report.log = "Remove: delete didn't throw exception" |
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320 | except: |
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321 | report.passed = 1 |
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322 | report.trace = "Remove: testing failure behavior" |
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323 | |
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324 | return canvas, report |
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325 | |
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326 | |
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327 | |
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328 | if __name__ == '__main__': |
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329 | import sys |
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330 | |
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331 | stimuli = Simulation() |
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332 | |
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333 | if len(sys.argv)>1: |
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334 | #t = generator.TestCase(stimuli, filename = "test-case.xml") |
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335 | t = generator.TestCase(stimuli, filename = sys.argv[1]) |
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336 | print "Test passed =", t.run() |
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337 | else: |
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338 | g = generator.TestCaseGenerator(stimuli) |
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339 | g.generateAndRun(200) |
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340 | |
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341 | |
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342 | |
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343 | |
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