def test_get_algorithminput_data(self):
inp1 = {
'data':
[['class1', 'class2', 'class3', 'class4', 'zz', 'class5'],
[0, 1, 2, 0, 1, 0], [1, 0, 0, 1, 0, 0], [2, 0, 1, 0, 1, 0],
[0, 1, 0, 0, 0, 2], [1, 0, 1, 0, 0, 0], [0, 0, 0, 2, 0, 1]]
}
inp2 = {
'data':
[['class1', 'class2', 'class3', 'class4', 'zz', 'class5'],
[0, 3, 0, 0, 0, 0], [3, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0]]
}
inp3 = {
'data': [['class1', 'class2', 'class3', 'class4', 'class5', 'zz'],
[1.0, 0.62, 0.88, 0.75, 0.75, 0.62],
[0.62, 1.0, 0.5, 0.88, 0.62, 1.0],
[0.88, 0.5, 1.0, 0.62, 0.62, 0.5],
[0.75, 0.88, 0.62, 1.0, 0.5, 0.88],
[0.75, 0.62, 0.62, 0.5, 1.0, 0.62],
[0.62, 1.0, 0.5, 0.88, 0.62, 1.0]]
}
inp4 = [40, 30, 30]
out = {
'data': [['class1', 'class2', 'class3', 'class4', 'zz', 'class5'],
[0.3, 0.69, 0.66, 0.23, 0.43, 0.19],
[0.69, 0.3, 0.15, 0.46, 0.19, 0.3],
[0.66, 0.15, 0.5, 0.19, 0.39, 0.15],
[0.23, 0.46, 0.19, 0.3, 0.15, 0.66],
[0.43, 0.19, 0.39, 0.15, 0.3, 0.19],
[0.19, 0.3, 0.15, 0.66, 0.19, 0.5]]
}
self.assertEqual(algo.get_algorithminput_data(inp1, inp2, inp3, inp4),
out)
def algorithmInput():
answer=""
try:
requestData=h_func.convertData(request.data)
umlRequestData,sqlRequestData,nfrRequestData,weights=h_func.parse_requset(requestData)
answer = algo_input.get_algorithminput_data(umlRequestData, sqlRequestData, nfrRequestData, weights)
except:
print("algorithm server error")
return jsonify(answer)
def getClusters():
answer=""
try:
requestData=h_func.convertData(request.data)
umlRequestData,sqlRequestData,nfrRequestData,weights=h_func.parse_requset(requestData)
mainMatrix = algo_input.get_algorithminput_data(umlRequestData, sqlRequestData, nfrRequestData, weights)
answer = algo.dbScanAlgotithm(mainMatrix)
except:
print("clusters server error")
return jsonify(answer)
def getResult():
answer=""
# try:
requestData=h_func.convertData(request.data)
print(requestData)
umlRequestData,sqlRequestData,nfrRequestData,weights=h_func.parse_requset(requestData)
mainMatrix = algo_input.get_algorithminput_data(umlRequestData, sqlRequestData, nfrRequestData, weights)
clusters = algo.dbScanAlgotithmArray(mainMatrix)
nfrRequestData = requestData[2]
weights = g_var.weights
profiles =mongo_func.getLocalDBProfiles()
answer = algo.calculateResult(weights, nfrRequestData, clusters, profiles)
# except:
print("get result error")
return jsonify(answer)
def getResult():
answer=""
# try:
requestData=h_func.convertData(request.data)
umlRequestData,sqlRequestData,nfrRequestData,weights=h_func.parse_requset(requestData)
mainMatrix = algo_input.get_algorithminput_data(umlRequestData, sqlRequestData, nfrRequestData, weights)
clusters = algo.dbScanAlgotithmArray(mainMatrix)
nfrRequestData = requestData[2]
NFRWeights = h_func.getNFRDefaultValueDict(requestData)
profiles =mongo_func.getLocalDBProfiles()
classesComplexity=sql.getClassesComplexity(requestData[1])
answer = algo.getResult(NFRWeights, nfrRequestData, clusters, profiles,classesComplexity)
# except:
print("get result error")
return jsonify(answer)