"""Tests for eval/parse_answer.py (T5.1)."""
import json

import numpy as np

from tsmm.eval.parse_answer import parse_anomaly_segments, answer_to_point_scores


class TestParseSegments:
    def test_clean_json(self):
        text = '{"segments": [[10, 20], [30, 40]], "type": "spike"}'
        segs, ok = parse_anomaly_segments(text)
        assert ok is True
        assert segs == [(10, 20), (30, 40)]

    def test_json_in_prose(self):
        text = 'The anomalies are: {"segments": [[5, 8]], "type":"level_shift"} per your request.'
        segs, ok = parse_anomaly_segments(text)
        assert ok is True
        assert segs == [(5, 8)]

    def test_nested_brackets(self):
        text = '{"segments": [[320, 360]], "type":"spike", "score":0.9}'
        segs, ok = parse_anomaly_segments(text)
        assert ok is True
        assert segs == [(320, 360)]

    def test_multiple_json_objects(self):
        # when multiple JSON-ish blobs exist, take the one with a segments key
        text = 'some text {"foo": 1} then {"segments":[[1,2]]}'
        segs, ok = parse_anomaly_segments(text)
        assert ok is True
        assert segs == [(1, 2)]

    def test_no_json_returns_empty_fail(self):
        text = "I cannot find any anomaly."
        segs, ok = parse_anomaly_segments(text)
        assert ok is False
        assert segs == []

    def test_malformed_json_fallback_to_regex(self):
        # if JSON parse fails but [s,e] patterns exist, regex-extract them
        text = 'anomalies at [100, 150] and [200, 250]'
        segs, ok = parse_anomaly_segments(text)
        # ok=False because no valid JSON, but segments extracted via fallback
        assert segs == [(100, 150), (200, 250)]

    def test_anomaly_regions_schema(self):
        # the schema data/instruct.py actually emits (nested, start/end objects)
        text = '{"anomaly_regions": [{"start": 10, "end": 93}, {"start": 245, "end": 286}], "n_regions": 2}'
        segs, ok = parse_anomaly_segments(text)
        assert ok is True
        assert segs == [(10, 93), (245, 286)]

    def test_anomaly_regions_in_prose(self):
        text = 'Based on the series: {"anomaly_regions": [{"start": 5, "end": 8}]} done.'
        segs, ok = parse_anomaly_segments(text)
        assert ok is True
        assert segs == [(5, 8)]

    def test_segments_with_start_end_objects(self):
        # also accept the {start,end} object form under the 'segments' key
        text = '{"segments": [{"start": 1, "end": 4}]}'
        segs, ok = parse_anomaly_segments(text)
        assert ok is True
        assert segs == [(1, 4)]

    def test_balanced_json_handles_nested(self):
        from tsmm.eval.parse_answer import _extract_balanced_json
        text = 'x {"a": {"b": 1}, "c": [2,3]} y {"d": 4}'
        blobs = _extract_balanced_json(text)
        # outer nested object + the flat one, but NOT the inner {"b":1} alone
        assert any('"a"' in b and '"b"' in b for b in blobs)
        assert '{"d": 4}' in blobs

    def test_empty_segments_list(self):
        text = '{"segments": [], "type": "none"}'
        segs, ok = parse_anomaly_segments(text)
        assert ok is True
        assert segs == []

    def test_single_int_segment(self):
        # segments might be [start] only or [[s]] — be lenient
        text = '{"segments": [[42]]}'
        segs, ok = parse_anomaly_segments(text)
        assert ok is True
        # single-element segment treated as point
        assert segs == [(42, 42)]


class TestAnswerToPointScores:
    def test_basic(self):
        text = '{"segments": [[2, 5]]}'
        scores, ok = answer_to_point_scores(text, T=10)
        assert ok is True
        assert scores.shape == (10,)
        assert list(scores) == [0, 0, 1, 1, 1, 1, 0, 0, 0, 0]

    def test_multiple_segments(self):
        text = '{"segments": [[0, 2], [7, 9]]}'
        scores, ok = answer_to_point_scores(text, T=10)
        assert ok is True
        assert list(scores) == [1, 1, 1, 0, 0, 0, 0, 1, 1, 1]

    def test_no_anomaly_all_zero(self):
        text = '{"segments": []}'
        scores, ok = answer_to_point_scores(text, T=8)
        assert ok is True
        assert float(scores.sum()) == 0.0

    def test_parse_fail_all_zero(self):
        text = "no idea"
        scores, ok = answer_to_point_scores(text, T=8)
        assert ok is False
        assert scores.shape == (8,)
        assert float(scores.sum()) == 0.0

    def test_clips_to_T(self):
        # segment beyond T is clipped
        text = '{"segments": [[5, 100]]}'
        scores, ok = answer_to_point_scores(text, T=10)
        assert ok is True
        assert float(scores.sum()) == 5.0  # indices 5..9