Example #1
0
    def test_insertTrade(self):
        '''
        Test the method insertTrade. Verifys that it inserts a trade and then, with an
        identical trade, it does not insert the trade. The col DateTime requires fxn.
        '''
        rc = FinReqCol()
        row = dict()
        row[rc.ticker] = 'AAPL'
        row['DateTime'] = '20190101;123045'
        row[rc.shares] = 450
        row[rc.price] = 205.43
        row[rc.comm] = .75
        row[rc.oc] = 'O'
        row[rc.acct] = 'U1234567'
        row[rc.bal] = 450
        row[rc.avg] = 205.43
        row[rc.PL] = 0

        ibdb = StatementDB()
        self.clearTables()

        ibdb.insertTradeSA(row)
        ModelBase.session.commit()
        c = ibdb.tcrud.getTradeCount()
        self.assertEqual(c, 1)

        ibdb.insertTradeSA(row)
        ModelBase.session.commit()
        c = ibdb.tcrud.getTradeCount()
        self.assertEqual(c, 1)

        bu = Backup()
        bu.restore()
Example #2
0
    def test_findTrade(self):
        '''
        Tests find a unique trade using findTrade with date, ticker, shares and account.
        The method is meant to be more exclusive than inclusive.
        '''
        rc = FinReqCol()

        ibdb = StatementDB()
        row = {
            rc.ticker: 'SNRK',
            "DateTime": '20191212;093145',
            rc.shares: 3000,
            rc.price: 150.23,
            rc.comm: None,
            rc.oc: 'O',
            rc.acct: "U2229999",
            rc.bal: 3000,
            rc.avg: 150.23,
            rc.PL: None,
            "DAS": 'DAS',
            "IB": None}
        data = list(row.values())
        columns = list(row.keys())
        x = pd.DataFrame(data=[data], columns=columns)
        ibdb.insertTradeSA(x.iloc[0])
        ModelBase.session.commit()
        # conn.commit()
        foundit = ibdb.findTradesSA(x.iloc[0]['DateTime'], x.iloc[0][rc.ticker], x.iloc[0][rc.shares], x.iloc[0][rc.acct])
        self.assertTrue(foundit)
        bu = Backup()
        bu.restore()