135 lines
4.9 KiB
Python
135 lines
4.9 KiB
Python
from __future__ import annotations
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import pytest
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from app.domain.portfolio_math import resolve_portfolio_spot_from_quote
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from app.models.portfolio import PortfolioConfig
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from app.services.alerts import build_portfolio_alert_context
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def test_overview_converts_gld_share_quote_to_ounce_equivalent_spot() -> None:
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"""Overview page converts GLD share quotes using expense-adjusted backing."""
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from datetime import date
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from app.domain.instruments import gld_ounces_per_share
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config = PortfolioConfig(entry_price=4400.0, gold_ounces=220.0, entry_basis_mode="weight", loan_amount=145000.0)
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spot_price, source, updated_at = resolve_portfolio_spot_from_quote(
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config,
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{
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"symbol": "GLD",
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"price": 404.19,
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"quote_unit": "share",
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"source": "yfinance",
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"updated_at": "2026-03-24T00:00:00+00:00",
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},
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)
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portfolio = build_portfolio_alert_context(
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config,
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spot_price=spot_price,
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source=source,
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updated_at=updated_at,
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)
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# With expense-adjusted backing (~0.0916 oz/share), spot = 404.19 / 0.091576... ≈ 4413.71
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current_backing = float(gld_ounces_per_share(date.today()))
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expected_spot = 404.19 / current_backing
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assert abs(spot_price - expected_spot) < 0.01
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assert source == "yfinance"
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assert updated_at == "2026-03-24T00:00:00+00:00"
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# Gold value = 220 oz * spot_price
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expected_gold_value = 220.0 * spot_price
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assert abs(portfolio["gold_value"] - expected_gold_value) < 0.01
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assert portfolio["net_equity"] == pytest.approx(expected_gold_value - 145000.0, abs=0.01)
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assert round(float(portfolio["margin_call_price"]), 2) == 878.79
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def test_overview_fails_closed_to_configured_entry_price_for_unsupported_quote_symbol() -> None:
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config = PortfolioConfig(entry_price=4400.0, gold_ounces=220.0, entry_basis_mode="weight", loan_amount=145000.0)
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spot_price, source, updated_at = resolve_portfolio_spot_from_quote(
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config,
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{
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"symbol": "SLV",
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"price": 28.50,
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"quote_unit": "share",
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"source": "yfinance",
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"updated_at": "2026-03-24T00:00:00+00:00",
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},
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)
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assert spot_price == 4400.0
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assert source == "configured_entry_price"
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assert updated_at == ""
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def test_overview_uses_fallback_symbol_when_quote_payload_omits_symbol() -> None:
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"""GLD quote with fallback symbol uses expense-adjusted backing for conversion."""
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from datetime import date
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from app.domain.instruments import gld_ounces_per_share
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config = PortfolioConfig(entry_price=4400.0, gold_ounces=220.0, entry_basis_mode="weight", loan_amount=145000.0)
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spot_price, source, updated_at = resolve_portfolio_spot_from_quote(
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config,
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{"price": 404.19, "quote_unit": "share", "source": "yfinance", "updated_at": "2026-03-24T00:00:00+00:00"},
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fallback_symbol="GLD",
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)
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# With expense-adjusted backing (~0.0916 oz/share), spot = 404.19 / 0.091576... ≈ 4413.71
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current_backing = float(gld_ounces_per_share(date.today()))
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expected_spot = 404.19 / current_backing
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assert abs(spot_price - expected_spot) < 0.01
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assert source == "yfinance"
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assert updated_at == "2026-03-24T00:00:00+00:00"
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def test_overview_falls_back_when_quote_price_is_missing_or_invalid() -> None:
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config = PortfolioConfig(entry_price=4400.0, gold_ounces=220.0, entry_basis_mode="weight", loan_amount=145000.0)
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missing_price = resolve_portfolio_spot_from_quote(
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config,
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{"symbol": "GLD", "quote_unit": "share", "source": "yfinance", "updated_at": "2026-03-24T00:00:00+00:00"},
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fallback_symbol="GLD",
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)
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zero_price = resolve_portfolio_spot_from_quote(
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config,
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{
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"symbol": "GLD",
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"price": 0.0,
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"quote_unit": "share",
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"source": "yfinance",
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"updated_at": "2026-03-24T00:00:00+00:00",
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},
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fallback_symbol="GLD",
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)
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bad_string_price = resolve_portfolio_spot_from_quote(
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config,
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{
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"symbol": "GLD",
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"price": "not-a-number",
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"quote_unit": "share",
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"source": "yfinance",
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"updated_at": "2026-03-24T00:00:00+00:00",
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},
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fallback_symbol="GLD",
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)
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assert missing_price == (4400.0, "configured_entry_price", "")
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assert zero_price == (4400.0, "configured_entry_price", "")
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assert bad_string_price == (4400.0, "configured_entry_price", "")
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def test_overview_falls_back_when_quote_unit_metadata_is_missing() -> None:
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config = PortfolioConfig(entry_price=4400.0, gold_ounces=220.0, entry_basis_mode="weight", loan_amount=145000.0)
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result = resolve_portfolio_spot_from_quote(
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config,
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{"symbol": "GLD", "price": 404.19, "source": "yfinance", "updated_at": "2026-03-24T00:00:00+00:00"},
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fallback_symbol="GLD",
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)
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assert result == (4400.0, "configured_entry_price", "")
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