"""tests/test_valuation.py — unit tests for analytics/valuation.py.

Mocks yfinance so tests are hermetic and fast, following the same pattern
as tests/test_analyst.py.
"""
from __future__ import annotations

from unittest.mock import MagicMock, patch

import pytest

from analytics import valuation


@pytest.fixture(autouse=True)
def _no_cache(monkeypatch):
    monkeypatch.setattr("storage.earnings_cache.get", lambda *a, **k: None)
    monkeypatch.setattr("storage.earnings_cache.set", lambda *a, **k: None)


# ── fetch_multiples ────────────────────────────────────────────────────────────

def test_fetch_multiples_success():
    fake = MagicMock()
    fake.info = {
        "trailingPE": 45.2, "forwardPE": 32.1,
        "enterpriseToRevenue": 18.5, "enterpriseToEbitda": 25.0,
        "marketCap": 3_000_000_000_000,
    }
    with patch("yfinance.Ticker", return_value=fake):
        data, err = valuation.fetch_multiples("NVDA")

    assert err is None
    assert data["trailing_pe"] == 45.2
    assert data["forward_pe"] == 32.1
    assert data["ev_to_sales"] == 18.5
    assert data["ev_to_ebitda"] == 25.0


def test_fetch_multiples_fail_closed_when_nothing_available():
    fake = MagicMock()
    fake.info = {}
    with patch("yfinance.Ticker", return_value=fake):
        data, err = valuation.fetch_multiples("XYZ")

    assert data is None
    assert err is not None


def test_fetch_multiples_never_raises_on_yfinance_error():
    with patch("yfinance.Ticker", side_effect=RuntimeError("rate limit")):
        data, err = valuation.fetch_multiples("NVDA")
    assert data is None
    assert err is not None


def test_fetch_multiples_tolerates_nan_values():
    fake = MagicMock()
    fake.info = {"trailingPE": float("nan"), "forwardPE": 20.0}
    with patch("yfinance.Ticker", return_value=fake):
        data, err = valuation.fetch_multiples("NVDA")
    assert err is None
    assert data["trailing_pe"] is None
    assert data["forward_pe"] == 20.0


# ── fetch_peer_multiples ───────────────────────────────────────────────────────

def test_fetch_peer_multiples_includes_primary_and_peers():
    fake = MagicMock()
    fake.info = {"trailingPE": 40.0}
    with patch("yfinance.Ticker", return_value=fake):
        rows = valuation.fetch_peer_multiples("NVDA")

    tickers = [r["ticker"] for r in rows]
    assert "NVDA" in tickers
    assert "AMD" in tickers  # from the curated PEERS map
    assert "AVGO" in tickers


def test_fetch_peer_multiples_unknown_ticker_has_no_peers():
    fake = MagicMock()
    fake.info = {"trailingPE": 40.0}
    with patch("yfinance.Ticker", return_value=fake):
        rows = valuation.fetch_peer_multiples("SOMEOBSCURETICKER")
    assert len(rows) == 1
    assert rows[0]["ticker"] == "SOMEOBSCURETICKER"


def test_fetch_peer_multiples_omits_peer_whose_fetch_fails():
    def _side_effect(ticker):
        if ticker == "AMD":
            raise RuntimeError("no data")
        fake = MagicMock()
        fake.info = {"trailingPE": 40.0}
        return fake

    with patch("yfinance.Ticker", side_effect=_side_effect):
        rows = valuation.fetch_peer_multiples("NVDA")

    tickers = [r["ticker"] for r in rows]
    assert "AMD" not in tickers
    assert "NVDA" in tickers


# ── next_catalysts ─────────────────────────────────────────────────────────────

def test_next_catalysts_parses_dict_calendar():
    fake = MagicMock()
    fake.calendar = {"Earnings Date": ["2026-08-20"], "Ex-Dividend Date": "2026-07-01"}
    with patch("yfinance.Ticker", return_value=fake):
        result = valuation.next_catalysts("NVDA")
    assert result["next_earnings_date"] == "2026-08-20"
    assert result["next_ex_dividend_date"] == "2026-07-01"


def test_next_catalysts_never_raises_when_calendar_missing():
    fake = MagicMock()
    fake.calendar = None
    with patch("yfinance.Ticker", return_value=fake):
        result = valuation.next_catalysts("NVDA")
    assert result == {"next_earnings_date": None, "next_ex_dividend_date": None}


def test_next_catalysts_never_raises_on_yfinance_error():
    with patch("yfinance.Ticker", side_effect=RuntimeError("boom")):
        result = valuation.next_catalysts("NVDA")
    assert result == {"next_earnings_date": None, "next_ex_dividend_date": None}