"""Unit tests for services.signal_engine.signals.cup_handle — Cup & Handle evaluator.

Requirements: 2.4, 2.6, 2.7
"""
from __future__ import annotations

from datetime import datetime, timezone

from services.signal_engine.models import OHLCVBar, SignalDirection
from services.signal_engine.signals.cup_handle import (
    DEFAULT_MIN_BARS,
    CupHandleEvaluator,
)

# ---------------------------------------------------------------------------
# Helpers
# ---------------------------------------------------------------------------


def _bar(
    close: float,
    high: float | None = None,
    low: float | None = None,
) -> OHLCVBar:
    """Create a minimal OHLCVBar for testing."""
    h = high if high is not None else close
    lo = low if low is not None else close
    return OHLCVBar(
        timestamp=datetime(2024, 1, 1, tzinfo=timezone.utc),
        open=close,
        high=h,
        low=lo,
        close=close,
        volume=1000.0,
    )


def _make_cup_handle_bars(
    n: int = 40,
    left_rim: float = 100.0,
    bottom: float = 80.0,
    right_rim: float = 99.0,
    handle_low: float = 96.0,
) -> list[OHLCVBar]:
    """Create a synthetic cup & handle pattern.

    Generates bars that form:
    1. Rise to left_rim in the first third
    2. Descent to bottom in the middle
    3. Rise to right_rim in the last third
    4. Small pullback to handle_low at the end
    """
    bars: list[OHLCVBar] = []
    first_third = n // 3
    last_third_start = n - (n // 3)
    handle_start = n - max(2, int(n * 0.15))

    for i in range(n):
        if i < first_third:
            # Rise to left rim
            frac = i / max(1, first_third - 1)
            price = bottom + frac * (left_rim - bottom)
            h = price + 1.0
            lo = price - 1.0
        elif i < last_third_start:
            # Cup: descend to bottom then rise
            mid = (first_third + last_third_start) / 2.0
            if i <= mid:
                frac = (i - first_third) / max(1, mid - first_third)
                price = left_rim - frac * (left_rim - bottom)
            else:
                frac = (i - mid) / max(1, last_third_start - mid)
                price = bottom + frac * (right_rim - bottom)
            h = price + 1.0
            lo = price - 1.0
        elif i < handle_start:
            # Rise to right rim
            frac = (i - last_third_start) / max(1, handle_start - last_third_start - 1)
            price = right_rim - 2.0 + frac * 2.0
            h = price + 1.0
            lo = price - 1.0
        else:
            # Handle: small pullback
            handle_len = n - handle_start
            frac = (i - handle_start) / max(1, handle_len - 1)
            price = right_rim - frac * (right_rim - handle_low)
            h = price + 0.5
            lo = price - 0.5

        bars.append(_bar(price, high=h, low=lo))

    # Ensure the left rim bar has the correct high
    bars[first_third - 1] = _bar(
        left_rim - 1.0,
        high=left_rim,
        low=left_rim - 2.0,
    )
    # Ensure the right rim bar has the correct high
    right_rim_idx = last_third_start + (handle_start - last_third_start) // 2
    if right_rim_idx < n:
        bars[right_rim_idx] = _bar(
            right_rim - 1.0,
            high=right_rim,
            low=right_rim - 2.0,
        )

    return bars


# ---------------------------------------------------------------------------
# Constants
# ---------------------------------------------------------------------------


def test_default_min_bars() -> None:
    assert DEFAULT_MIN_BARS == 30


# ---------------------------------------------------------------------------
# Insufficient data → None (Requirement 2.6)
# ---------------------------------------------------------------------------


def test_returns_none_when_insufficient_bars() -> None:
    """Requirement 2.6: return None when fewer than min_bars."""
    evaluator = CupHandleEvaluator()
    bars = [_bar(100.0) for _ in range(29)]
    assert evaluator.evaluate(bars, "D") is None


def test_returns_none_with_empty_bars() -> None:
    evaluator = CupHandleEvaluator()
    assert evaluator.evaluate([], "D") is None


def test_returns_none_with_one_bar() -> None:
    evaluator = CupHandleEvaluator()
    assert evaluator.evaluate([_bar(100.0)], "D") is None


# ---------------------------------------------------------------------------
# No pattern detected → None
# ---------------------------------------------------------------------------


def test_returns_none_for_flat_market() -> None:
    """Flat prices have no cup formation."""
    evaluator = CupHandleEvaluator()
    bars = [_bar(100.0, high=100.0, low=100.0) for _ in range(40)]
    assert evaluator.evaluate(bars, "D") is None


def test_returns_none_for_monotonic_uptrend() -> None:
    """A steady uptrend has no cup shape."""
    evaluator = CupHandleEvaluator()
    bars = [_bar(50.0 + i * 1.0, high=51.0 + i * 1.0, low=49.0 + i * 1.0) for i in range(40)]
    # Cup depth would be too shallow or non-existent
    result = evaluator.evaluate(bars, "D")
    # Either None or invalid pattern — the uptrend doesn't form a cup
    assert result is None


def test_returns_none_when_cup_too_shallow() -> None:
    """Cup depth < 12% should be rejected."""
    evaluator = CupHandleEvaluator()
    # Left rim at 100, bottom at 92 → depth = 8% (too shallow)
    bars = _make_cup_handle_bars(
        n=40,
        left_rim=100.0,
        bottom=92.0,
        right_rim=99.0,
        handle_low=97.0,
    )
    result = evaluator.evaluate(bars, "D")
    assert result is None


def test_returns_none_when_cup_too_deep() -> None:
    """Cup depth > 33% should be rejected."""
    evaluator = CupHandleEvaluator()
    # Left rim at 100, bottom at 60 → depth = 40% (too deep)
    bars = _make_cup_handle_bars(
        n=40,
        left_rim=100.0,
        bottom=60.0,
        right_rim=99.0,
        handle_low=95.0,
    )
    result = evaluator.evaluate(bars, "D")
    assert result is None


def test_returns_none_when_handle_too_deep() -> None:
    """Handle retracement > 50% of cup depth should be rejected."""
    evaluator = CupHandleEvaluator()
    # Cup depth = 100 - 80 = 20. Handle depth > 10 (50% of 20) → rejected
    bars = _make_cup_handle_bars(
        n=40,
        left_rim=100.0,
        bottom=80.0,
        right_rim=99.0,
        handle_low=85.0,  # handle depth = 99 - 85 = 14 > 10
    )
    result = evaluator.evaluate(bars, "D")
    assert result is None


# ---------------------------------------------------------------------------
# Valid pattern detection
# ---------------------------------------------------------------------------


def test_detects_valid_cup_and_handle() -> None:
    """Requirement 2.4: detect cup formation and handle."""
    evaluator = CupHandleEvaluator()
    bars = _make_cup_handle_bars(
        n=40,
        left_rim=100.0,
        bottom=80.0,
        right_rim=99.0,
        handle_low=95.0,
    )
    result = evaluator.evaluate(bars, "D")
    assert result is not None
    assert result.signal_type == "cup_handle"
    assert result.direction == SignalDirection.BULLISH


def test_always_bullish_direction() -> None:
    """Cup & Handle is always a bullish continuation pattern."""
    evaluator = CupHandleEvaluator()
    bars = _make_cup_handle_bars(
        n=40,
        left_rim=100.0,
        bottom=80.0,
        right_rim=98.0,
        handle_low=95.0,
    )
    result = evaluator.evaluate(bars, "D")
    assert result is not None
    assert result.direction == SignalDirection.BULLISH


# ---------------------------------------------------------------------------
# Completeness scoring
# ---------------------------------------------------------------------------


def test_strength_in_unit_interval() -> None:
    """Strength must be in [0, 1]."""
    evaluator = CupHandleEvaluator()
    bars = _make_cup_handle_bars(
        n=40,
        left_rim=100.0,
        bottom=80.0,
        right_rim=99.0,
        handle_low=96.0,
    )
    result = evaluator.evaluate(bars, "D")
    assert result is not None
    assert 0.0 <= result.strength <= 1.0


def test_confidence_in_unit_interval() -> None:
    """Confidence must be in [0, 1]."""
    evaluator = CupHandleEvaluator()
    bars = _make_cup_handle_bars(
        n=40,
        left_rim=100.0,
        bottom=80.0,
        right_rim=99.0,
        handle_low=96.0,
    )
    result = evaluator.evaluate(bars, "D")
    assert result is not None
    assert 0.0 <= result.confidence <= 1.0


def test_confidence_proportional_to_completeness() -> None:
    """Requirement 2.4: confidence proportional to pattern completeness."""
    evaluator = CupHandleEvaluator()
    bars = _make_cup_handle_bars(
        n=40,
        left_rim=100.0,
        bottom=80.0,
        right_rim=99.0,
        handle_low=96.0,
    )
    result = evaluator.evaluate(bars, "D")
    assert result is not None
    # confidence = completeness * 0.90
    expected_confidence = result.strength * 0.90
    assert abs(result.confidence - expected_confidence) < 1e-9


def test_better_symmetry_yields_higher_completeness() -> None:
    """More symmetric rims should produce higher completeness."""
    evaluator = CupHandleEvaluator()

    # Good symmetry: right rim very close to left rim
    bars_good = _make_cup_handle_bars(
        n=40,
        left_rim=100.0,
        bottom=80.0,
        right_rim=100.0,
        handle_low=96.0,
    )
    result_good = evaluator.evaluate(bars_good, "D")

    # Worse symmetry: right rim further from left rim
    bars_worse = _make_cup_handle_bars(
        n=40,
        left_rim=100.0,
        bottom=80.0,
        right_rim=88.0,
        handle_low=85.0,
    )
    result_worse = evaluator.evaluate(bars_worse, "D")

    if result_good is not None and result_worse is not None:
        assert result_good.metadata["symmetry_score"] >= result_worse.metadata["symmetry_score"]


# ---------------------------------------------------------------------------
# Metadata (Requirement 2.7)
# ---------------------------------------------------------------------------


def test_metadata_contains_required_fields() -> None:
    """Metadata should include left_rim, right_rim, bottom, handle_depth, completeness."""
    evaluator = CupHandleEvaluator()
    bars = _make_cup_handle_bars(
        n=40,
        left_rim=100.0,
        bottom=80.0,
        right_rim=99.0,
        handle_low=96.0,
    )
    result = evaluator.evaluate(bars, "D")
    assert result is not None
    meta = result.metadata
    assert "left_rim" in meta
    assert "right_rim" in meta
    assert "bottom" in meta
    assert "handle_depth" in meta
    assert "completeness" in meta
    assert "cup_depth_pct" in meta
    assert "symmetry_score" in meta
    assert "handle_score" in meta


# ---------------------------------------------------------------------------
# Signal result structure (Requirement 2.7)
# ---------------------------------------------------------------------------


def test_signal_result_structure() -> None:
    """Requirement 2.7: SignalResult has all required fields."""
    evaluator = CupHandleEvaluator()
    bars = _make_cup_handle_bars(
        n=40,
        left_rim=100.0,
        bottom=80.0,
        right_rim=99.0,
        handle_low=96.0,
    )
    result = evaluator.evaluate(bars, "D")
    assert result is not None
    assert result.signal_type == "cup_handle"
    assert result.timeframe == "D"
    assert 0.0 <= result.strength <= 1.0
    assert 0.0 <= result.confidence <= 1.0
    assert result.direction == SignalDirection.BULLISH


# ---------------------------------------------------------------------------
# Timeframe passthrough
# ---------------------------------------------------------------------------


def test_timeframe_passthrough() -> None:
    """The timeframe label is passed through to the result."""
    evaluator = CupHandleEvaluator()
    bars = _make_cup_handle_bars(
        n=40,
        left_rim=100.0,
        bottom=80.0,
        right_rim=99.0,
        handle_low=96.0,
    )
    for tf in ("M30", "H1", "H4", "D", "W", "M"):
        result = evaluator.evaluate(bars, tf)
        assert result is not None
        assert result.timeframe == tf


# ---------------------------------------------------------------------------
# Custom min_bars
# ---------------------------------------------------------------------------


def test_custom_min_bars() -> None:
    """CupHandleEvaluator with a custom min_bars should use that value."""
    evaluator = CupHandleEvaluator(min_bars=50)
    assert evaluator.min_bars == 50
    # 40 bars should be insufficient
    bars = _make_cup_handle_bars(n=40)
    assert evaluator.evaluate(bars, "D") is None


def test_exactly_min_bars_works() -> None:
    """Exactly min_bars should be sufficient if pattern is present."""
    evaluator = CupHandleEvaluator(min_bars=30)
    bars = _make_cup_handle_bars(
        n=30,
        left_rim=100.0,
        bottom=80.0,
        right_rim=99.0,
        handle_low=96.0,
    )
    result = evaluator.evaluate(bars, "D")
    # Should produce a result if the pattern is valid
    # (may be None if the synthetic data doesn't form a clean pattern at 30 bars)
    # At minimum, it should not crash
    assert result is None or result.signal_type == "cup_handle"