Exemple #1
0
    def _net_worth_in_intervals(self, interval):
        interval_tuples = self._interval_tuples(interval, self.entries)
        interval_totals = []
        end_dates = [p[1] for p in interval_tuples]

        for (begin_date, end_date), holdings_list in \
                zip(interval_tuples,
                    holdings_at_dates(self.entries, end_dates,
                                      self.price_map, self.options)):
            totals = {}
            for currency in self.options['operating_currency']:
                currency_holdings_list = \
                    holdings.convert_to_currency(self.price_map, currency,
                                                 holdings_list)
                if not currency_holdings_list:
                    continue

                holdings_ = holdings.aggregate_holdings_by(
                    currency_holdings_list,
                    operator.attrgetter('cost_currency'))

                holdings_ = [holding
                             for holding in holdings_
                             if holding.currency and holding.cost_currency]

                # If after conversion there are no valid holdings, skip the
                # currency altogether.
                if holdings_:
                    totals[currency] = holdings_[0].market_value

            interval_totals.append({
                'date': end_date - datetime.timedelta(1),
                'totals': totals
            })
        return interval_totals
Exemple #2
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def test_holdings_at_dates(load_doc):
    """
    plugin "auto_accounts"

    2016-01-01 *
      Equity:Unknown
      Assets:Cash			5000 USD

    2016-01-02 *
      Assets:Account1             15 HOOL {123 USD}
      Assets:Cash

    2016-01-03 *
      Assets:Account1             10 HOOL {130 USD}
      Assets:Cash
    """
    entries, errors, options = load_doc
    price_map = prices.build_price_map(entries)
    dates = [
        datetime.date(2016, 1, 1),
        datetime.date(2016, 1, 2),
        datetime.date(2016, 1, 3),
        datetime.date(2016, 1, 4),
    ]
    number_of_holdings = list(
        map(len, list(holdings_at_dates(entries, dates, price_map, options))))
    assert number_of_holdings == [0, 1, 2, 3]
Exemple #3
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    def net_worth_at_intervals(self, interval):
        interval_tuples = self._interval_tuples(interval)
        dates = [p[1] for p in interval_tuples]

        return [{
            'date': date,
            'balance': self._holdings_to_net_worth(holdings_list),
        } for date, holdings_list in
            zip(dates, holdings_at_dates(self.entries, dates,
                                         self.price_map, self.options))]
Exemple #4
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    def _net_worth_in_periods(self):
        month_tuples = self._interval_tuples('month', self.entries)
        monthly_totals = []
        end_dates = [p[1] for p in month_tuples]

        for (begin_date, end_date), holdings_list in \
                zip(month_tuples,
                    holdings_at_dates(self.entries, end_dates,
                                      self.price_map, self.options)):
            totals = {}
            for currency in self.options['operating_currency']:
                currency_holdings_list = \
                    holdings.convert_to_currency(self.price_map, currency,
                                                 holdings_list)
                if not currency_holdings_list:
                    continue

                holdings_list = holdings.aggregate_holdings_by(
                    currency_holdings_list,
                    operator.attrgetter('cost_currency'))

                holdings_list = [holding
                                 for holding in holdings_list
                                 if holding.currency and holding.cost_currency]

                # If after conversion there are no valid holdings, skip the
                # currency altogether.
                if holdings_list:
                    totals[currency] = holdings_list[0].market_value

            monthly_totals.append({
                'begin_date': begin_date,
                'end_date': end_date,
                'totals': totals
            })
        return monthly_totals