def _analyseAndCache(self, board):
boardList = DecisionModelProxy.GetBoardList()
if board not in boardList:
return NullBoardAnalysis()
boardDecisions = DecisionModelProxy.GetAllForBoardOrderedByDecisionDate(
board)
count = len(boardDecisions)
early = boardDecisions[:5]
if count >= 5:
late = boardDecisions[count - 5:]
else:
late = boardDecisions
ipcTop5 = AnalysisHelpers.IpcMainFrequencyForBoard_TopN_withPercentage(
board, 5, count)
articleTop5 = AnalysisHelpers.AttributeFrequencyForBoard_TopN_withPercentage(
board, 5, count)
citationTop5 = AnalysisHelpers.ArticleFrequencyForBoard_TopN(board, 5)
analysis = BoardAnalysis(board, count, early, late, ipcTop5,
articleTop5, citationTop5)
self._cache[board] = analysis
return analysis
def test_citationFrequency(self):
from Decisions.DBProxy import DecisionModelProxy
from Decisions.Analysers import AnalysisHelpers
decisions = DecisionModelProxy.GetAllForBoard('3.1.01')
x = AnalysisHelpers.CitationFrequency(decisions)
y = {dec.CaseNumber: count for (dec, count) in x.items()}
self.assertTrue(y['J 0005/80'] > 50)
def test_citationFrequencyForBoard(self):
from Decisions.Analysers import AnalysisHelpers
x = AnalysisHelpers.CitationFrequencyForBoard('3.5.01')
y = {dec.CaseNumber: count for (dec, count) in x.items()}
self.assertTrue(y['T 0441/92'] > 15)
def test_articleFrequencyForBoard(self):
from Decisions.Analysers import AnalysisHelpers
x = AnalysisHelpers.AttributeFrequencyForBoard('3.5.01')
self.assertTrue(x['56'] > 1000)
def test_articleFrequency(self):
from Decisions.DBProxy import DecisionModelProxy
from Decisions.Analysers import AnalysisHelpers
decisions = (DecisionModelProxy.GetListFromCaseNumber('T 0954/98'))
x = AnalysisHelpers.AttributeFrequency(decisions)
self.assertEqual(x['131'], 1)
def test_ipcFrequencyForBoard(self):
from Decisions.Analysers import AnalysisHelpers
x = AnalysisHelpers.IpcFrequencyForBoard('3.5.01')
self.assertTrue(x['G06F 17/60'] > 150)
def test_ipcFrequency(self):
from Decisions.DBProxy import DecisionModelProxy
from Decisions.Analysers import AnalysisHelpers
decisions = DecisionModelProxy.GetListFromCaseNumber('G 0001/97')
x = AnalysisHelpers.IpcFrequency(decisions)
self.assertEqual(x['G04B 37/16'], 3)