"""Pricing engine — config-driven per-service prices, floored at each minimum."""

from __future__ import annotations

import pytest

from lawn_estimator.pricing import (
    Bundle,
    PricingConfig,
    Service,
    compute_bundle_price,
    compute_pricing,
    load_default_config,
    price_service,
)

CONFIG = PricingConfig(
    company="Test Lawn Co", currency="USD", presentation="estimate",
    services=(
        Service("mowing", "Mowing", 5, 45),
        Service("fertilizer", "Fertilizer", 9, 60),
        Service("aeration", "Aeration", 20, 75),
        Service("overseeding", "Overseeding", 25, 0, requires="aeration"),
    ),
)


def _by_id(items):
    return {i["service"]: i for i in items}


def test_small_lawn_hits_minimums():
    p = compute_pricing({"lawn_sqft": 5000}, CONFIG)
    items = _by_id(p["line_items"])
    assert items["mowing"]["price"] == 45.0 and items["mowing"]["min_applied"] is True
    assert items["fertilizer"]["price"] == 60.0 and items["fertilizer"]["min_applied"] is True
    assert items["aeration"]["price"] == 100.0 and items["aeration"]["min_applied"] is False
    assert items["overseeding"]["price"] == 125.0
    assert p["total"] == pytest.approx(330.0)
    assert p["currency"] == "USD"
    assert p["presentation"] == "estimate"


def test_large_lawn_uses_rates_not_minimums():
    p = compute_pricing({"lawn_sqft": 10000}, CONFIG)
    items = _by_id(p["line_items"])
    assert items["mowing"]["price"] == 50.0
    assert items["fertilizer"]["price"] == 90.0
    assert items["aeration"]["price"] == 200.0
    assert items["overseeding"]["price"] == 250.0
    assert all(i["min_applied"] is False for i in p["line_items"])
    assert p["total"] == pytest.approx(590.0)


def test_overseeding_is_paired_with_aeration():
    p = compute_pricing({"lawn_sqft": 8000}, CONFIG)
    assert _by_id(p["line_items"])["overseeding"]["paired_with"] == "aeration"


def test_missing_measurement_skips_service():
    p = compute_pricing({}, CONFIG)  # no lawn_sqft present
    assert p["line_items"] == []
    assert p["total"] == 0.0


def test_price_service_rounds_to_cents():
    item = price_service(Service("fertilizer", "Fertilizer", 9, 0), 4669.8)  # 42.0282
    assert item["price"] == 42.03


def test_per_sqft_unit_prices_linearly():
    # 4,000 sqft at $0.02/sqft = $80 (min $30 not binding); the line item echoes the unit.
    item = price_service(Service("mow", "Mow", 0.02, 30, unit="per_sqft"), 4000)
    assert item["price"] == 80.0 and item["min_applied"] is False
    assert item["unit"] == "per_sqft" and item["rate"] == 0.02


def test_flat_unit_is_size_independent():
    svc = Service("cleanup", "Cleanup", 150, unit="flat")
    a = price_service(svc, 1000)
    b = price_service(svc, 50000)
    assert a["price"] == 150.0 and b["price"] == 150.0    # sqft doesn't change a flat price
    assert a["unit"] == "flat"


def test_per_sqft_floored_at_minimum():
    # Tiny lot: $0.02 × 800 = $16 stays below the $30 minimum.
    item = price_service(Service("mow", "Mow", 0.02, 30, unit="per_sqft"), 800)
    assert item["price"] == 30.0 and item["min_applied"] is True


def test_travel_time_factor_scales_price_above_minimum():
    # 10,000 sqft mowing at $5/1k = $50 base; a 1.25 travel factor → $62.50 (min $45 not binding).
    item = price_service(Service("mowing", "Mowing", 5, 45), 10000, travel_time_factor=1.25)
    assert item["price"] == 62.5 and item["min_applied"] is False


def test_travel_time_factor_still_floored_at_minimum():
    # Small lot: scaled base ($5/1k × 5000 × 1.1 = $27.50) stays below the $45 minimum.
    item = price_service(Service("mowing", "Mowing", 5, 45), 5000, travel_time_factor=1.1)
    assert item["price"] == 45.0 and item["min_applied"] is True


def test_compute_pricing_applies_factor_to_all_line_items():
    p = compute_pricing({"lawn_sqft": 10000}, CONFIG, travel_time_factor=1.2)
    items = _by_id(p["line_items"])
    assert items["mowing"]["price"] == 60.0      # 50 × 1.2
    assert items["fertilizer"]["price"] == 108.0  # 90 × 1.2
    assert p["total"] == pytest.approx((50 + 90 + 200 + 250) * 1.2)


_SVC_BY_ID = {s.id: s for s in CONFIG.services}


def test_bundle_fixed_price_and_savings():
    b = Bundle("spring", "Spring Package", ("mowing", "aeration"), "fixed", 100.0, "seasonal")
    out = compute_bundle_price(b, _SVC_BY_ID, {"lawn_sqft": 10000})
    assert out["subtotal"] == 250.0        # mowing $50 + aeration $200
    assert out["price"] == 100.0 and out["savings"] == 150.0
    assert out["cadence"] == "seasonal" and out["services"] == ["mowing", "aeration"]


def test_bundle_percent_discount():
    b = Bundle("save10", "10% off", ("mowing", "fertilizer"), "percent", 10.0)
    out = compute_bundle_price(b, _SVC_BY_ID, {"lawn_sqft": 10000})
    assert out["subtotal"] == 140.0 and out["price"] == 126.0 and out["savings"] == 14.0


def test_bundle_dropped_when_no_priceable_service():
    b = Bundle("x", "X", ("mowing",), "fixed", 50.0)
    assert compute_bundle_price(b, _SVC_BY_ID, {}) is None       # no lawn_sqft → no members


def test_compute_pricing_includes_bundles():
    cfg = PricingConfig("Co", "USD", "firm", CONFIG.services,
                        bundles=(Bundle("b", "B", ("mowing",), "fixed", 40.0),))
    p = compute_pricing({"lawn_sqft": 10000}, cfg)
    assert p["bundles"] and p["bundles"][0]["price"] == 40.0


def test_bundled_default_config_matches_partner_rates():
    cfg = load_default_config()
    assert cfg is not None
    svc = {s.id: s for s in cfg.services}
    assert (svc["mowing"].rate_per_1000_sqft, svc["mowing"].min_charge) == (5, 45)
    assert (svc["fertilizer"].rate_per_1000_sqft, svc["fertilizer"].min_charge) == (9, 60)
    assert (svc["aeration"].rate_per_1000_sqft, svc["aeration"].min_charge) == (20, 75)
    assert (svc["overseeding"].rate_per_1000_sqft, svc["overseeding"].min_charge) == (25, 0)
    assert svc["overseeding"].requires == "aeration"
    assert cfg.presentation == "estimate"