Examples with RecommendedParticipation com.github.robozonky.api.strategies.RecommendedParticipation used on opensource projects

Example 1 with RecommendedParticipation

use of com.github.robozonky.api.strategies.RecommendedParticipation in project robozonky by RoboZonky.

the class Session method purchase.

public boolean purchase(final RecommendedParticipation recommendation) {
    Events.fire(new PurchaseRequestedEvent(recommendation));
    final Participation participation = recommendation.descriptor().item();
    final Loan loan = recommendation.descriptor().related();
    final boolean purchased = isDryRun || actualPurchase(participation);
    if (purchased) {
        final Investment i = Investment.fresh(participation, loan, recommendation.amount());
        markSuccessfulPurchase(i);
        Events.fire(new InvestmentPurchasedEvent(i, loan, portfolioOverview));
    }
    return purchased;
}

Example 2 with RecommendedParticipation

use of com.github.robozonky.api.strategies.RecommendedParticipation in project robozonky by RoboZonky.

the class NaturalLanguagePurchaseStrategyTest method noLoansApplicable.

@Test
void noLoansApplicable() {
    final MarketplaceFilter filter = MarketplaceFilter.of(MarketplaceFilterCondition.alwaysAccepting());
    final DefaultValues v = new DefaultValues(DefaultPortfolio.PROGRESSIVE);
    final FilterSupplier w = new FilterSupplier(v, Collections.emptySet(), Collections.singleton(filter));
    final ParsedStrategy p = new ParsedStrategy(v, Collections.emptySet(), Collections.emptyMap(), w);
    final PurchaseStrategy s = new NaturalLanguagePurchaseStrategy(p);
    final PortfolioOverview portfolio = mock(PortfolioOverview.class);
    when(portfolio.getCzkAvailable()).thenReturn(p.getMinimumBalance());
    when(portfolio.getCzkInvested()).thenReturn(p.getMaximumInvestmentSizeInCzk() - 1);
    final Stream<RecommendedParticipation> result = s.recommend(Collections.singletonList(mockDescriptor()), portfolio, new Restrictions());
    assertThat(result).isEmpty();
}

Example 3 with RecommendedParticipation

use of com.github.robozonky.api.strategies.RecommendedParticipation in project robozonky by RoboZonky.

the class NaturalLanguagePurchaseStrategyTest method nothingRecommendedDueToRatingOverinvested.

@Test
void nothingRecommendedDueToRatingOverinvested() {
    final ParsedStrategy p = new ParsedStrategy(DefaultPortfolio.EMPTY);
    final PurchaseStrategy s = new NaturalLanguagePurchaseStrategy(p);
    final PortfolioOverview portfolio = mock(PortfolioOverview.class);
    when(portfolio.getCzkAvailable()).thenReturn(p.getMinimumBalance());
    when(portfolio.getCzkInvested()).thenReturn(p.getMaximumInvestmentSizeInCzk() - 1);
    when(portfolio.getShareOnInvestment(any())).thenReturn(BigDecimal.ZERO);
    final Participation l = mockParticipation();
    doReturn(Rating.A).when(l).getRating();
    final Stream<RecommendedParticipation> result = s.recommend(Collections.singletonList(mockDescriptor(l)), portfolio, new Restrictions());
    assertThat(result).isEmpty();
}

Example 4 with RecommendedParticipation

use of com.github.robozonky.api.strategies.RecommendedParticipation in project robozonky by RoboZonky.

the class NaturalLanguagePurchaseStrategyTest method unacceptablePortfolioDueToLowBalance.

@Test
void unacceptablePortfolioDueToLowBalance() {
    final ParsedStrategy p = new ParsedStrategy(DefaultPortfolio.EMPTY);
    final PurchaseStrategy s = new NaturalLanguagePurchaseStrategy(p);
    final PortfolioOverview portfolio = mock(PortfolioOverview.class);
    when(portfolio.getCzkAvailable()).thenReturn(p.getMinimumBalance() - 1);
    final Stream<RecommendedParticipation> result = s.recommend(Collections.singletonList(mockDescriptor()), portfolio, new Restrictions());
    assertThat(result).isEmpty();
}

Example 5 with RecommendedParticipation

use of com.github.robozonky.api.strategies.RecommendedParticipation in project robozonky by RoboZonky.

the class NaturalLanguagePurchaseStrategyTest method recommendationIsMade.

@Test
void recommendationIsMade() {
    final DefaultValues v = new DefaultValues(DefaultPortfolio.PROGRESSIVE);
    final ParsedStrategy ps = new ParsedStrategy(v, Collections.emptyList(), Collections.emptyMap(), new FilterSupplier(v, null, Collections.emptySet()));
    final PurchaseStrategy s = new NaturalLanguagePurchaseStrategy(ps);
    final PortfolioOverview portfolio = mock(PortfolioOverview.class);
    when(portfolio.getCzkAvailable()).thenReturn(ps.getMinimumBalance());
    when(portfolio.getCzkInvested()).thenReturn(ps.getMaximumInvestmentSizeInCzk() - 1);
    when(portfolio.getShareOnInvestment(any())).thenReturn(BigDecimal.ZERO);
    final Participation p = spy(mockParticipation());
    // not recommended due to balance
    doReturn(BigDecimal.valueOf(100000)).when(p).getRemainingPrincipal();
    doReturn(Rating.A).when(p).getRating();
    final Participation p2 = spy(mockParticipation());
    // check amounts under Zonky investment minimum
    final int amount = Defaults.MINIMUM_INVESTMENT_IN_CZK - 1;
    doReturn(BigDecimal.valueOf(amount)).when(p2).getRemainingPrincipal();
    doReturn(Rating.A).when(p2).getRating();
    final ParticipationDescriptor pd = mockDescriptor(p2);
    final List<RecommendedParticipation> result = s.recommend(Arrays.asList(mockDescriptor(p), pd), portfolio, new Restrictions()).collect(Collectors.toList());
    assertThat(result).hasSize(1);
    final RecommendedParticipation r = result.get(0);
    assertSoftly(softly -> {
        softly.assertThat(r.descriptor()).isEqualTo(pd);
        softly.assertThat(r.amount()).isEqualTo(pd.item().getRemainingPrincipal());
    });
}