def __getRelevantPargaphsFromDecisions(self):
featureTexts = []
otherTexts = []
for decision in self.__decisions:
decisionText = DecisionModelProxy.GetTextFromDecision(decision)
if decisionText:
reasonsParagraphs = decisionText.Reasons.split('\n\n')
paragraphsToRemove = set()
numberOfParagraphs = len(reasonsParagraphs)
for index in range(0, numberOfParagraphs):
if self.__keyword in reasonsParagraphs[index]:
featureTexts.append(reasonsParagraphs[index])
minIndex = max(0, index - self.__paragarphMargin)
maxIndex = min(numberOfParagraphs,
index + self.__paragarphMargin + 1)
for removalIndex in range(minIndex, maxIndex):
paragraphsToRemove.add(removalIndex)
otherTexts += [
reasonsParagraphs[index]
for index in range(0, numberOfParagraphs)
if index not in paragraphsToRemove
]
return ''.join(featureTexts), ' '.join(otherTexts)
def decisionFromCaseNumber(request, cn):
"""Renders a single decision."""
assert isinstance(request, HttpRequest)
caseNumber = Formatters.formatCaseNumber(cn)
decisions = DecisionModelProxy.GetDecisionListFromCaseNumber(caseNumber)
viewModel = DecisionVM.DecisionViewModel(decisions)
return render(
request,
'app/decision.html',
viewModel.Context,
)
def analysed_decision(request, pk, analysername="restitutio"):
assert isinstance(request, HttpRequest)
from app.DBProxy import DecisionModelProxy
decision = DecisionModelProxy.GetDecisionFromPrimaryKey(pk)
viewModel = AnalysedDecisionViewModel(decision, analysername)
return render(
request,
'DecisionAnalyser/analyseddecision.html',
viewModel.Context,
)
def decision(request, pk, highlightterms='[]'):
"""Renders a single decision."""
assert isinstance(request, HttpRequest)
from ast import literal_eval
decisions = DecisionModelProxy.GetDecisionListFromPrimaryKey(pk)
hlterms = literal_eval(highlightterms)
viewModel = DecisionVM.DecisionViewModel(decisions,
pk=pk,
highlightterms=hlterms)
return render(
request,
'app/decision.html',
viewModel.Context,
)
def __getRelevantPargaphsFromDecisions(self):
featureTexts = []
otherTexts = []
for decision in self.__decisions:
decisionText = DecisionModelProxy.GetTextFromDecision(decision)
if decisionText:
reasonsParagraphs = decisionText.Reasons.split('\n\n')
for paragraph in reasonsParagraphs:
classification, probability = self.__baseclassifier.ClassifyText(
paragraph)
if classification == self.__keyword and probability > 0.70:
featureTexts.append(paragraph)
if classification != self.__keyword and probability > 0.80:
otherTexts.append(paragraph)
return ''.join(featureTexts), ' '.join(otherTexts)
def GetDecisions(self, classname):
if classname.lower() == 'restitutio':
decisionNumbers = ['T 0027/86', 'J 0026/88', 'T 0613/93', 'J 0008/91']
from app.DBProxy import DecisionModelProxy
return [DecisionModelProxy.GetDecisionListFromCaseNumber(x) for x in decisionNumbers]
return None
def __getDecisionsWithKeyordInKeywordsField(self):
decisions = DecisionModelProxy.GetBibliographyFiltered(
Keywords__contains=self.__keyword)
return [x for x in decisions if x.DecisionLanguage == 'EN']
def __getDecisionsWithKeyordInKeywordsField(self):
return DecisionModelProxy.GetBibliographyFiltered(
Keywords__contains=self.__keyword)