def __build_data_param(self, param):
     analyzer = RevenueIndexAnalyzer(stock_symbol=param['stock_symbol'],
                                     period=param['period'])
     inventory_index = analyzer.get_inventory_index().get()
     accounts_receivable_index = analyzer.get_accounts_receivable_index(
     ).get()
     gross_profit_index = analyzer.get_gross_profit_index().get()
     selling_and_administrative_expenses_index = analyzer.get_selling_and_administrative_expenses_index(
     ).get()
     accounts_payable_index = analyzer.get_accounts_payable_index().get()
     return {
         'inventory_index': {
             'value': inventory_index,
             'format': 'float',
         },
         'accounts_receivable_index': {
             'value': accounts_receivable_index,
             'format': 'float',
         },
         'gross_profit_index': {
             'value': gross_profit_index,
             'format': 'float',
         },
         'selling_and_administrative_expenses_index': {
             'value': selling_and_administrative_expenses_index,
             'format': 'float',
         },
         'accounts_payable_index': {
             'value': accounts_payable_index,
             'format': 'float',
         },
     }
    def test_get_analysis_1101(self):
        analyzer = RevenueIndexAnalyzer(stock_symbol='1101', period='Q')

        inventory_index = analyzer.get_inventory_index().get_map()
        self.assertTrue(inventory_index[datetime.date(2015, 6, 30)] < 0)
        self.assertTrue(inventory_index[datetime.date(2015, 3, 31)] > 0)

        accounts_receivable_index = analyzer.get_accounts_receivable_index(
        ).get_map()
        self.assertTrue(
            accounts_receivable_index[datetime.date(2015, 6, 30)] < 0)
        self.assertTrue(
            accounts_receivable_index[datetime.date(2015, 3, 31)] > 0)

        gross_profit_index = analyzer.get_gross_profit_index().get_map()
        self.assertTrue(gross_profit_index[datetime.date(2015, 6, 30)] > 0)
        self.assertTrue(gross_profit_index[datetime.date(2015, 3, 31)] > 0)

        selling_and_administrative_expenses_index \
                = analyzer.get_selling_and_administrative_expenses_index().get_map()
        self.assertTrue(selling_and_administrative_expenses_index[
            datetime.date(2015, 6, 30)] < 0)
        self.assertTrue(selling_and_administrative_expenses_index[
            datetime.date(2015, 3, 31)] > 0)

        accounts_payable_index = analyzer.get_accounts_payable_index().get_map(
        )
        self.assertTrue(accounts_payable_index[datetime.date(2015, 6, 30)] < 0)
        self.assertTrue(accounts_payable_index[datetime.date(2015, 3, 31)] < 0)
 def __build_data_param(self, param):
     analyzer = RevenueIndexAnalyzer(stock_symbol=param['stock_symbol'], period=param['period'])
     inventory_index = analyzer.get_inventory_index().get()
     accounts_receivable_index = analyzer.get_accounts_receivable_index().get()
     gross_profit_index = analyzer.get_gross_profit_index().get()
     selling_and_administrative_expenses_index = analyzer.get_selling_and_administrative_expenses_index().get()
     accounts_payable_index = analyzer.get_accounts_payable_index().get()
     return {
         'inventory_index' : { 
             'value' : inventory_index,
             'format' : 'float',
         },
         'accounts_receivable_index' : {
             'value' : accounts_receivable_index,
             'format' : 'float',
         },
         'gross_profit_index' : {
             'value' : gross_profit_index,
             'format' : 'float',
         },
         'selling_and_administrative_expenses_index' : {
             'value' : selling_and_administrative_expenses_index,
             'format' : 'float',
         },
         'accounts_payable_index' : {
             'value' : accounts_payable_index,
             'format' : 'float',
         },
     }
    def test_get_analysis_1101(self):
        analyzer = RevenueIndexAnalyzer(stock_symbol='1101', period='Q')

        inventory_index = analyzer.get_inventory_index().get_map()
        self.assertTrue(inventory_index[datetime.date(2015, 6, 30)] < 0)
        self.assertTrue(inventory_index[datetime.date(2015, 3, 31)] > 0)

        accounts_receivable_index = analyzer.get_accounts_receivable_index().get_map()
        self.assertTrue(accounts_receivable_index[datetime.date(2015, 6, 30)] < 0)
        self.assertTrue(accounts_receivable_index[datetime.date(2015, 3, 31)] > 0)

        gross_profit_index = analyzer.get_gross_profit_index().get_map()
        self.assertTrue(gross_profit_index[datetime.date(2015, 6, 30)] > 0)
        self.assertTrue(gross_profit_index[datetime.date(2015, 3, 31)] > 0)

        selling_and_administrative_expenses_index \
                = analyzer.get_selling_and_administrative_expenses_index().get_map()
        self.assertTrue(selling_and_administrative_expenses_index[datetime.date(2015, 6, 30)] < 0)
        self.assertTrue(selling_and_administrative_expenses_index[datetime.date(2015, 3, 31)] > 0)

        accounts_payable_index = analyzer.get_accounts_payable_index().get_map()
        self.assertTrue(accounts_payable_index[datetime.date(2015, 6, 30)] < 0)
        self.assertTrue(accounts_payable_index[datetime.date(2015, 3, 31)] < 0)