"""Tests for src.core.reconcile — two-source matching engine."""

import pandas as pd
import pytest

from src.core.reconcile import (
    ReconcileOptions,
    ReconcileResult,
    reconcile,
)


def _bank(rows):
    return pd.DataFrame(rows, columns=["date", "amount", "desc"])


def _ledger(rows):
    return pd.DataFrame(rows, columns=["posted", "amt", "memo"])


class TestExactMatch:
    def test_one_to_one_exact(self):
        left = _bank([
            ("2026-01-05", 100.00, "ACME"),
            ("2026-01-06", 250.00, "WIDGET CO"),
        ])
        right = _ledger([
            ("2026-01-05", 100.00, "Acme Inc"),
            ("2026-01-06", 250.00, "Widget"),
        ])
        result = reconcile(left, right, ReconcileOptions(
            left_amount="amount", right_amount="amt",
            left_date="date", right_date="posted",
        ))
        assert result.stats["matched"] == 2
        assert result.stats["unmatched_left"] == 0
        assert result.stats["unmatched_right"] == 0
        assert (result.matched["match_pass"] == "exact").all()

    def test_unmatched_left_and_right(self):
        left = _bank([
            ("2026-01-05", 100.00, "ACME"),
            ("2026-01-07", 99.99, "ONLY ON LEFT"),
        ])
        right = _ledger([
            ("2026-01-05", 100.00, "Acme"),
            ("2026-01-08", 500.00, "Only on right"),
        ])
        result = reconcile(left, right, ReconcileOptions(
            left_amount="amount", right_amount="amt",
            left_date="date", right_date="posted",
        ))
        assert result.stats["matched"] == 1
        assert result.stats["unmatched_left"] == 1
        assert result.stats["unmatched_right"] == 1
        # The unmatched rows preserve their original columns.
        assert "ONLY ON LEFT" in result.unmatched_left["desc"].tolist()
        assert "Only on right" in result.unmatched_right["memo"].tolist()

    def test_amount_only_no_date(self):
        # No date columns set — match purely on amount. Distinct
        # amounts pair off one-to-one.
        left = _bank([
            ("2026-01-01", 42.50, "A"),
            ("2026-02-15", 99.00, "B"),
        ])
        right = _ledger([
            ("2099-12-31", 42.50, "X"),
            ("1970-01-01", 99.00, "Y"),
        ])
        result = reconcile(left, right, ReconcileOptions(
            left_amount="amount", right_amount="amt",
        ))
        assert result.stats["matched"] == 2

    def test_identical_amounts_with_no_date_are_ambiguous(self):
        # Without a date column to disambiguate, two left rows with
        # the same amount and two right rows with the same amount
        # are genuinely undecidable — route to review.
        left = _bank([
            ("2026-01-01", 42.50, "A"),
            ("2026-02-15", 42.50, "B"),
        ])
        right = _ledger([
            ("2099-12-31", 42.50, "X"),
            ("1970-01-01", 42.50, "Y"),
        ])
        result = reconcile(left, right, ReconcileOptions(
            left_amount="amount", right_amount="amt",
        ))
        assert result.stats["matched"] == 0
        assert result.stats["review"] >= 2


class TestAmountTolerance:
    def test_amount_within_tolerance(self):
        left = _bank([("2026-01-05", 100.00, "A")])
        right = _ledger([("2026-01-05", 100.02, "X")])
        # Exact pass misses (100.00 != 100.02). Tolerance pass catches it.
        result = reconcile(left, right, ReconcileOptions(
            left_amount="amount", right_amount="amt",
            left_date="date", right_date="posted",
            amount_tolerance=0.05,
        ))
        assert result.stats["matched"] == 1
        assert result.matched.iloc[0]["match_pass"] == "tolerance"
        assert abs(result.matched.iloc[0]["amount_diff"] - -0.02) < 1e-9

    def test_outside_tolerance_unmatched(self):
        left = _bank([("2026-01-05", 100.00, "A")])
        right = _ledger([("2026-01-05", 100.50, "X")])
        result = reconcile(left, right, ReconcileOptions(
            left_amount="amount", right_amount="amt",
            left_date="date", right_date="posted",
            amount_tolerance=0.05,
        ))
        assert result.stats["matched"] == 0
        assert result.stats["unmatched_left"] == 1
        assert result.stats["unmatched_right"] == 1


class TestDateWindow:
    def test_date_within_window(self):
        left = _bank([("2026-01-05", 100.00, "A")])
        right = _ledger([("2026-01-07", 100.00, "X")])  # 2 days later
        result = reconcile(left, right, ReconcileOptions(
            left_amount="amount", right_amount="amt",
            left_date="date", right_date="posted",
            date_tolerance_days=3,
        ))
        assert result.stats["matched"] == 1
        assert result.matched.iloc[0]["date_diff_days"] == -2

    def test_date_outside_window(self):
        left = _bank([("2026-01-05", 100.00, "A")])
        right = _ledger([("2026-01-20", 100.00, "X")])  # 15 days later
        result = reconcile(left, right, ReconcileOptions(
            left_amount="amount", right_amount="amt",
            left_date="date", right_date="posted",
            date_tolerance_days=5,
        ))
        assert result.stats["matched"] == 0


class TestSignInversion:
    def test_invert_right_sign(self):
        # Bank: deposit = +100 ; Ledger: deposit recorded as -100.
        left = _bank([("2026-01-05", 100.00, "A")])
        right = _ledger([("2026-01-05", -100.00, "X")])
        # Without inversion: no match.
        r1 = reconcile(left, right, ReconcileOptions(
            left_amount="amount", right_amount="amt",
            left_date="date", right_date="posted",
        ))
        assert r1.stats["matched"] == 0
        # With inversion: match.
        r2 = reconcile(left, right, ReconcileOptions(
            left_amount="amount", right_amount="amt",
            left_date="date", right_date="posted",
            invert_right_sign=True,
        ))
        assert r2.stats["matched"] == 1


class TestAmbiguity:
    def test_two_equal_candidates_go_to_review(self):
        # One left row, two identical right rows → ambiguous.
        left = _bank([("2026-01-05", 100.00, "A")])
        right = _ledger([
            ("2026-01-05", 100.00, "X"),
            ("2026-01-05", 100.00, "Y"),
        ])
        result = reconcile(left, right, ReconcileOptions(
            left_amount="amount", right_amount="amt",
            left_date="date", right_date="posted",
        ))
        assert result.stats["matched"] == 0
        assert result.stats["review"] == 2  # both candidate pairs flagged
        # Left was consumed by the ambiguity, both rights too.
        assert result.stats["unmatched_left"] == 0
        assert result.stats["unmatched_right"] == 0

    def test_uniquely_better_match_wins(self):
        # Two left rows, two right rows; one pair is a closer match.
        left = _bank([
            ("2026-01-05", 100.00, "A"),
            ("2026-01-05", 100.05, "B"),
        ])
        right = _ledger([
            ("2026-01-05", 100.00, "X"),  # closer to A
            ("2026-01-05", 100.05, "Y"),  # closer to B
        ])
        result = reconcile(left, right, ReconcileOptions(
            left_amount="amount", right_amount="amt",
            left_date="date", right_date="posted",
            amount_tolerance=0.10,
        ))
        # Both should pair uniquely on the exact pass (penalty inside
        # exact pass breaks the symmetric near-ties).
        assert result.stats["matched"] == 2


class TestKeyMatch:
    def test_reference_number_authoritative(self):
        # Same check number, same amount, different posting dates.
        # Key match should pair them even though dates differ.
        left = pd.DataFrame([
            {"date": "2026-01-05", "amount": 100.00, "check_no": "1042"},
        ])
        right = pd.DataFrame([
            {"posted": "2026-01-12", "amt": 100.00, "ref": "1042"},
        ])
        result = reconcile(left, right, ReconcileOptions(
            left_amount="amount", right_amount="amt",
            left_date="date", right_date="posted",
            left_keys=["check_no"], right_keys=["ref"],
            date_tolerance_days=0,  # exact-pass would miss
        ))
        assert result.stats["matched"] == 1
        assert result.matched.iloc[0]["match_pass"] == "key"

    def test_key_requires_amount_to_tie(self):
        # Same ref but mismatched amounts → not a key match.
        left = pd.DataFrame([
            {"date": "2026-01-05", "amount": 100.00, "check_no": "1042"},
        ])
        right = pd.DataFrame([
            {"posted": "2026-01-05", "amt": 200.00, "ref": "1042"},
        ])
        result = reconcile(left, right, ReconcileOptions(
            left_amount="amount", right_amount="amt",
            left_date="date", right_date="posted",
            left_keys=["check_no"], right_keys=["ref"],
        ))
        assert result.stats["matched"] == 0


class TestInputValidation:
    def test_missing_amount_columns(self):
        left = _bank([("2026-01-05", 100.00, "A")])
        right = _ledger([("2026-01-05", 100.00, "X")])
        with pytest.raises(ValueError, match="left_amount"):
            reconcile(left, right, ReconcileOptions(
                right_amount="amt",
            ))

    def test_left_date_without_right_date(self):
        left = _bank([("2026-01-05", 100.00, "A")])
        right = _ledger([("2026-01-05", 100.00, "X")])
        with pytest.raises(ValueError, match="both be set or both be None"):
            reconcile(left, right, ReconcileOptions(
                left_amount="amount", right_amount="amt",
                left_date="date",  # right_date missing
            ))

    def test_mismatched_key_lengths(self):
        left = _bank([("2026-01-05", 100.00, "A")])
        right = _ledger([("2026-01-05", 100.00, "X")])
        with pytest.raises(ValueError, match="same length"):
            reconcile(left, right, ReconcileOptions(
                left_amount="amount", right_amount="amt",
                left_keys=["a", "b"], right_keys=["x"],
            ))

    def test_negative_tolerance_rejected(self):
        left = _bank([("2026-01-05", 100.00, "A")])
        right = _ledger([("2026-01-05", 100.00, "X")])
        with pytest.raises(ValueError, match="amount_tolerance"):
            reconcile(left, right, ReconcileOptions(
                left_amount="amount", right_amount="amt",
                amount_tolerance=-0.01,
            ))


class TestUnparseableInputs:
    def test_non_numeric_amount_falls_through(self):
        # Left row with garbage amount should land in unmatched_left
        # (it can't participate in matching but must be visible).
        left = pd.DataFrame([
            {"date": "2026-01-05", "amount": "not a number", "desc": "BAD"},
            {"date": "2026-01-05", "amount": 100.00, "desc": "OK"},
        ])
        right = _ledger([("2026-01-05", 100.00, "X")])
        result = reconcile(left, right, ReconcileOptions(
            left_amount="amount", right_amount="amt",
            left_date="date", right_date="posted",
        ))
        assert result.stats["matched"] == 1
        # The garbage row appears in unmatched_left.
        assert "BAD" in result.unmatched_left["desc"].tolist()


class TestResultShape:
    def test_matched_carries_both_sides(self):
        left = _bank([("2026-01-05", 100.00, "ACME")])
        right = _ledger([("2026-01-05", 100.00, "Acme Inc")])
        result = reconcile(left, right, ReconcileOptions(
            left_amount="amount", right_amount="amt",
            left_date="date", right_date="posted",
        ))
        row = result.matched.iloc[0]
        assert row["left_desc"] == "ACME"
        assert row["right_memo"] == "Acme Inc"
        assert row["left_amount"] == 100.00
        assert row["right_amt"] == 100.00

    def test_empty_inputs_return_empty_result(self):
        left = _bank([])
        right = _ledger([])
        result = reconcile(left, right, ReconcileOptions(
            left_amount="amount", right_amount="amt",
            left_date="date", right_date="posted",
        ))
        assert result.stats["matched"] == 0
        assert result.matched.empty
        assert result.unmatched_left.empty
        assert result.unmatched_right.empty