예제 #1
0
파일: test.py 프로젝트: Vido/drunken-robots
class BarrelProofTest(unittest.TestCase):

    surveyor = BarrelProof(MODEL, DummyExtractor())

    def test_not_measured_yet(self):

        qs = self.surveyor.not_measured_yet()
        assert len(qs) == 2

        conn = sqlite3.connect(TEST_DB)
        cur = conn.cursor()
        query = "INSERT INTO truth VALUES(2, 20.10, 0.54)"
        cur.execute(query)
        conn.commit()

        qs = self.surveyor.not_measured_yet()
        assert len(qs) == 1

    def test_reckon(self):
        self.surveyor = BarrelProof(MODEL, SmartExtractor())
        self.surveyor.reckon()

        conn = sqlite3.connect(TEST_DB)
        cur = conn.cursor()
        # Because fk == 2 is already on the table
        query = "SELECT * FROM truth WHERE fk != 2;"
        cur.execute(query)
        qs = cur.fetchall()
        assert qs == [(1, 20.09, 0.4292878186)]
예제 #2
0
파일: test.py 프로젝트: Vido/drunken-robots
    def test_reckon(self):
        self.surveyor = BarrelProof(MODEL, SmartExtractor())
        self.surveyor.reckon()

        conn = sqlite3.connect(TEST_DB)
        cur = conn.cursor()
        # Because fk == 2 is already on the table
        query = "SELECT * FROM truth WHERE fk != 2;"
        cur.execute(query)
        qs = cur.fetchall()
        assert qs == [(1, 20.09, 0.4292878186)]
예제 #3
0
class Gibberish(BasePsychic):

    model = PsychicModel()
    model.DB_FILE = get_relative_path(__file__, 'Gibberish.sqlite3')
    extractor = OilMiner()
    surveyor = BarrelProof(model, extractor)

    def make_your_magic(self):

        dbw = DbWriter(self.model)

        best_prices = self.extractor.last5days_high()
        worse_prices = self.extractor.last5days_low()

        lower = min([wp.low for wp in worse_prices])
        upper = max([bp.high for bp in best_prices])

        future_price = random.uniform(lower, upper)
        future_date = datetime.now() + timedelta(days=1)

        str_future = future_date.strftime("'%Y-%m-%d'")

        dbw.write(str_future, "'PETR4'", future_price, table='prediction')