"""Execution-gap verdict + indicative slippage (design §5) — the execution analog of the recon gate.

Pure functions over the recorded testnet rows:
  * `mechanics_verdict` — MECHANICS PASS iff every recorded post-rebalance position tracks its effective
    target within tolerance, with no error/gap rows; else FAIL naming the offending symbol(s).
  * `indicative_slippage` — per cost-tier mean of `slippage_vs_assumed`, EXCLUDING `low_confidence` (thin-book)
    fills, plus the coverage (real-liquidity fills / all fills in the tier).
"""
from __future__ import annotations

from fxhnt.application.execution_gap import (
    PositionRow,
    SlippageFill,
    indicative_slippage,
    mechanics_verdict,
)

_TOL = 0.01


def test_pass_when_all_positions_track_targets():
    rows = [PositionRow("BTCUSDT", 50.0), PositionRow("ETHUSDT", -10.0)]
    v = mechanics_verdict(rows, {"BTCUSDT": 50.0, "ETHUSDT": -10.0}, _TOL)
    assert v.passed is True
    assert v.offending == ()


def test_pass_within_tolerance():
    rows = [PositionRow("BTCUSDT", 50.005)]
    v = mechanics_verdict(rows, {"BTCUSDT": 50.0}, _TOL)
    assert v.passed is True


def test_fail_names_symbol_off_target():
    rows = [PositionRow("BTCUSDT", 50.0), PositionRow("ETHUSDT", -5.0)]
    v = mechanics_verdict(rows, {"BTCUSDT": 50.0, "ETHUSDT": -10.0}, _TOL)
    assert v.passed is False
    assert v.offending == ("ETHUSDT",)


def test_fail_on_error_row():
    rows = [PositionRow("BTCUSDT", 50.0), PositionRow("DOGEUSDT", 0.0, error=True)]
    v = mechanics_verdict(rows, {"BTCUSDT": 50.0, "DOGEUSDT": 100.0}, _TOL)
    assert v.passed is False
    assert "DOGEUSDT" in v.offending


def test_fail_on_missing_row_for_target():
    rows = [PositionRow("BTCUSDT", 50.0)]
    v = mechanics_verdict(rows, {"BTCUSDT": 50.0, "ETHUSDT": -10.0}, _TOL)
    assert v.passed is False
    assert v.offending == ("ETHUSDT",)


def test_indicative_slippage_aggregates_per_tier():
    fills = [
        SlippageFill(tier="taker", slippage_delta_bps=2.0),
        SlippageFill(tier="taker", slippage_delta_bps=4.0),
        SlippageFill(tier="unlock", slippage_delta_bps=10.0),
    ]
    out = indicative_slippage(fills)
    assert out["taker"]["mean_delta_bps"] == 3.0
    assert out["taker"]["coverage"] == 1.0
    assert out["unlock"]["mean_delta_bps"] == 10.0


def test_indicative_slippage_excludes_low_confidence_and_reports_coverage():
    fills = [
        SlippageFill(tier="unlock", slippage_delta_bps=8.0),
        SlippageFill(tier="unlock", slippage_delta_bps=999.0, low_confidence=True),
    ]
    out = indicative_slippage(fills)
    # low-confidence excluded from the mean; coverage = 1 real / 2 total
    assert out["unlock"]["mean_delta_bps"] == 8.0
    assert out["unlock"]["coverage"] == 0.5


def test_indicative_slippage_all_low_confidence_tier_has_no_mean():
    fills = [SlippageFill(tier="unlock", slippage_delta_bps=5.0, low_confidence=True)]
    out = indicative_slippage(fills)
    assert out["unlock"]["mean_delta_bps"] is None
    assert out["unlock"]["coverage"] == 0.0