"""Refusal detection, value resolution, and the cleaning provenance format."""
import json

import pytest

from legex.evaluation.comparison import classify_cell, normalise, refusal_reason, resolve
from legex.evaluation.cleaning import format_comment, format_original_input

REFUSALS = [
    ("The document does not state a specific date. N/A", "trial_start_date"),
    ("None (the judgment does not contain a party designation block)", "plaintiffs_all_count"),
    ("Based on my review, I cannot determine the amount in dispute.", "dispute_value_nominal"),
    ("N/A", "trial_end_date"),
    ("not specified", "trial_start_date"),
]

KEEPERS = [
    ("nonpecuniary", "dispute_value_nominal"),
    ("no_allocation_possible", "plaintiff_no1_ISIC1_industry_category"),
    ("Employment_Law/Discrimination", "legal_subject_judgement"),
    ("2024-01-21", "trial_end_date"),
    ("25400000", "dispute_value_nominal"),
    ("1", "plaintiffs_all_count"),
    ("1.0", "plaintiff_loosing_share"),      # already a clean float → kept as-is
    ("0.86", "plaintiff_loosing_share"),
    ("l_financial_insurance", "defendant_no1_ISIC1_industry_category"),
]

# (raw, column, expected canonical) — a single value recoverable after stripping
# formatting noise / citations / backticks (never a digit scraped from prose).
RECOVERABLE = [
    ("20'000", "court_cost_awarded_nominal", "20000"),
    ("1 000 000", "dispute_value_nominal", "1000000"),
    ("2024/01/21", "trial_end_date", "2024-01-21"),
    ("1\n```", "plaintiffs_all_count", "1"),
    ("[1]\n\n2025-08-19", "trial_end_date", "2025-08-19"),
    ("1950\n[1] [2]", "court_cost_awarded_nominal", "1950"),
    # 2026-08 Harvey run: standalone English prose dates despite YYYY-MM-DD rule.
    ("March 19, 2026", "trial_end_date", "2026-03-19"),
    ("30 September 2020", "trial_end_date", "2020-09-30"),
    # 2026-08 Harvey run: ISIC codes with the sector letter capitalised.
    ("L_financial_insurance", "defendant_no1_ISIC1_industry_category", "l_financial_insurance"),
    ("No_allocation_possible", "plaintiff_no1_ISIC1_industry_category", "no_allocation_possible"),
    # Currency-decorated clean amounts.
    ("CHF 9'728'400.00", "dispute_value_nominal", "9728400"),
    ("30'000.--", "dispute_value_nominal", "30000"),
    ("6'500 fr.", "court_cost_awarded_nominal", "6500"),
    ("22.201,76 EUR", "dispute_value_nominal", "22201.76"),
]

# Prose (has letters) → never auto-recovered, even with a number present → review.
PROSE_TO_REVIEW = [
    ("1.0\n\nThe complaint was declared inadmissible.", "plaintiff_loosing_share"),
    ("The operative part imposes court costs of 800 Swiss Francs.[1]\n\n800",
     "court_cost_awarded_nominal"),
    ("Greer (No. 19-8709): 1.0\n\nGary (No. 20-444): 1.0", "plaintiff_loosing_share"),
    # A number with a parenthetical qualifier is still prose — a human decides.
    ("1 (total plaintiffs/claimants/appellants)", "plaintiffs_all_count"),
]

# Grouped integers without a decimal part: thousands- vs decimal-separator is
# ambiguous ('5.000 €' = 5000 EU or 5.0 US) → review, never auto-recovered.
AMBIGUOUS_AMOUNTS_TO_REVIEW = [
    ("5.000 €", "dispute_value_nominal"),
    ("538,183 euro", "dispute_value_nominal"),
]


@pytest.mark.parametrize("text,col", REFUSALS)
def test_refusals_go_to_review(text, col):
    status, _, reason = resolve(text, col)
    assert status == "review" and reason


@pytest.mark.parametrize("text,col", KEEPERS)
def test_valid_values_kept(text, col):
    status, value, _ = resolve(text, col)
    assert status == "valid" and value == text


@pytest.mark.parametrize("text,col,canon", RECOVERABLE)
def test_recoverable_values_canonicalised(text, col, canon):
    status, value, _ = resolve(text, col)
    assert status == "recovered" and value == canon


# Formatting-only recoveries the scorer already parses identically → must be score-neutral.
# (Noise-stripped dates like "[1]\n\n2025-08-19" are intentional corrections, not neutral.)
NEUTRAL_RECOVERABLE = [
    ("20'000", "court_cost_awarded_nominal", "20000"),
    ("1 000 000", "dispute_value_nominal", "1000000"),
    ("2024/01/21", "trial_end_date", "2024-01-21"),
    ("1\n```", "plaintiffs_all_count", "1"),
    ("1950\n[1] [2]", "court_cost_awarded_nominal", "1950"),
]


@pytest.mark.parametrize("text,col,canon", NEUTRAL_RECOVERABLE)
def test_recovery_is_score_neutral(text, col, canon):
    for gold in ("", canon, "999", "2024-01-21"):
        assert classify_cell(gold, normalise(text), col) == classify_cell(gold, canon, col)


@pytest.mark.parametrize("text,col", PROSE_TO_REVIEW)
def test_prose_with_number_goes_to_review_not_garbage(text, col):
    # Never scrape a number out of prose into the data — a human decides.
    status, _, _ = resolve(text, col)
    assert status == "review"


@pytest.mark.parametrize("text,col", AMBIGUOUS_AMOUNTS_TO_REVIEW)
def test_ambiguous_grouped_amounts_go_to_review(text, col):
    status, _, _ = resolve(text, col)
    assert status == "review"


def test_prose_without_value_or_marker_still_reviewed():
    status, _, reason = resolve(
        "Based on the decision, the respondent substantially prevailed on the merits.",
        "plaintiff_loosing_share",
    )
    assert status == "review" and reason == "no recoverable value"


def test_normalise_is_pure():
    assert normalise("The document does not state a date. N/A") != ""
    assert refusal_reason("nonpecuniary", "dispute_value_nominal") is None


def test_provenance_format():
    changes = {
        "trial_start_date": ("Not specified ", ""),
        "court_cost_awarded_nominal": ("20'000", "20000"),
    }
    assert format_comment(changes) == (
        "The trial_start_date was sanitized from 'Not specified ' to 'empty (removed)'. "
        "The court_cost_awarded_nominal was sanitized from '20'000' to '20000'."
    )
    assert json.loads(format_original_input(changes)) == {
        "trial_start_date": "Not specified ", "court_cost_awarded_nominal": "20'000",
    }
    assert format_comment({}) is None
    assert format_original_input({}) == "{}"