Ejemplo n.º 1
0
    def _makeInferredRow(self, row):
        cashFlow = int(str(row[2].strip()))
        expenses = str(row[3].strip())
        roc = str(row[4].strip())
        income = str(row[6].strip())

        expenses = int(expenses or 0)
        roc = int(roc or 0)
        income = int(income or 0)
        net = cashFlow
        otherValue = None
        typeID = None

        if expenses == 0:
            net -= roc
            otherValue = roc
            temp = self._findResult(row, 4)
            typeID = self._findNamedType(temp, "Return of Capital")
        elif roc == 0:
            net -= expenses
            otherValue = expenses
            temp = self._findResult(row, 3)
            typeID = self._findNamedType(temp, "Expenses")
        else:
            raise ValueError("Invalid data for inferred row")

        fundID = row[0]
        date = datetime.strptime(row[1], '%m/%d/%y')
        net = str(net)
        otherValue = str(otherValue)
        notes = row[12]
        netRow = CashFlow.CashFlow(fundID, date, net, typeID, notes)
        otherRow = CashFlow.CashFlow(fundID, date, otherValue, typeID, notes)
        self._processCashFlow(netRow)
        self._processCashFlow(otherRow)
Ejemplo n.º 2
0
    def _makeInferredRow(self, row):
        cashFlow = row['Cash Flow']
        expenses = row['Expenses']
        roc = row['ROC']
        income = row['Income']

        net = cashFlow
        otherValue = None
        typeID = None

        if pd.isna(expenses):
            net -= roc
            otherValue = roc
            temp = self._findResult(row, 'ROC')
            typeID = self._findNamedType(temp, "Return of Capital")
        elif pd.isna(roc):
            net -= expenses
            otherValue = expenses
            temp = self._findResult(row, 'Expenses')
            typeID = self._findNamedType(temp, "Expenses")
        else:
            raise ValueError("Invalid data for inferred row")

        fundID = row['Fund Code']
        date = row['Date']
        notes = row['Notes']
        netRow = CashFlow.CashFlow(fundID, date, net, typeID, notes)
        otherRow = CashFlow.CashFlow(fundID, date, otherValue, typeID, notes)
        self._processCashFlow(netRow)
        self._processCashFlow(otherRow)
Ejemplo n.º 3
0
 def _makeQtr(self, row):
     fundID = row[0]
     date = datetime.strptime(row[1], '%m/%d/%y')
     value = row[11]
     typeID = self._findNamedType('Balance', 'Quarterly Valuation')
     notes = row[12]
     result = CashFlow.CashFlow(fundID, date, value, typeID, notes)
     self._processCashFlow(result)
Ejemplo n.º 4
0
 def _makeSimpleRow(self, row):
     fundID = row[0]
     date = datetime.strptime(row[1], '%m/%d/%y')
     value = row[2]
     typeID = self._findSimpleTypeID(row)
     notes = row[12]
     result = CashFlow.CashFlow(fundID, date, value, typeID, notes)
     self._processCashFlow(result)
Ejemplo n.º 5
0
 def _makeSimpleRow(self, row):
     fundID = row['Fund Code']
     date = row['Date']
     value = row['Cash Flow']
     typeID = self._findSimpleTypeID(row)
     notes = row['Notes']
     result = CashFlow.CashFlow(fundID, date, value, typeID, notes)
     self._processCashFlow(result)
Ejemplo n.º 6
0
 def _makeQtr(self, row):
     fundID = row['Fund Code']
     date = row['Date']
     value = row['Qtr Valuation']
     typeID = self._findNamedType('Balance', 'Quarterly Valuation')
     notes = row['Notes']
     result = CashFlow.CashFlow(fundID, date, value, typeID, notes)
     self._processCashFlow(result)
Ejemplo n.º 7
0
 def _makeInitialCommitment(self, row):
     fundID = row['Fund Code']
     date = row['Date']
     value = row['Commitment']
     typeID = self._findNamedType('Balance', 'Initial Commitment')
     notes = row['Notes']
     result = CashFlow.CashFlow(fundID, date, value, typeID, notes)
     self._processCashFlow(result)
Ejemplo n.º 8
0
    def _makeInitialCommitment(self, row):
        fundID = row[0]
        print row
        date = datetime.strptime(row[1], '%m/%d/%y')

        value = row[10]
        typeID = self._findNamedType('Balance', 'Initial Commitment')
        notes = row[12]
        result = CashFlow.CashFlow(fundID, date, value, typeID, notes)
        self._processCashFlow(result)
Ejemplo n.º 9
0
 def _makeComplexRow(self, row):
     useCases = ("Expenses", "Return of Capital", "Subject to Recall",
                 "Income")
     for i in range(3, 7):
         if row[i] != "":
             fundID = row[0]
             date = datetime.strptime(row[1], '%m/%d/%y')
             value = row[i]
             temp = self._findResult(row, i)
             typeID = self._findNamedType(temp, useCases[i - 3])
             notes = row[12]
             result = CashFlow.CashFlow(fundID, date, value, typeID, notes)
             self._processCashFlow(result)
Ejemplo n.º 10
0
 def _makeComplexRow(self, row):
     useCases = {
         'Expenses': 'Expenses',
         'ROC': 'Return of Capital',
         'Dist. Sub. To Recall': 'Subject to Recall',
         'Income': 'Income'
     }
     for case in useCases:
         if pd.notna(row[case]):
             fundID = row['Fund Code']
             date = row['Date']
             value = row[case]
             temp = self._findResult(row, case)
             typeID = self._findNamedType(temp, useCases[case])
             notes = row['Notes']
             result = CashFlow.CashFlow(fundID, date, value, typeID, notes)
             self._processCashFlow(result)