"""Tests for the pipeline orchestrator (deduplication, layer control)."""

from __future__ import annotations

from unittest.mock import MagicMock, patch

import pytest

from layers.regex_layer import DetectedEntity, RegexLayer
from pipeline import Pipeline, _deduplicate


# ---------------------------------------------------------------------------
# Deduplication unit tests
# ---------------------------------------------------------------------------


class TestDeduplicate:
    def test_no_overlap_keeps_all(self):
        a = DetectedEntity("EMAIL", "a@b.com", 0, 7)
        b = DetectedEntity("IBAN", "FR76...", 10, 36)
        result = _deduplicate([a, b])
        assert len(result) == 2

    def test_overlapping_keeps_longer(self):
        shorter = DetectedEntity("EMAIL", "short", 0, 5, detection_layer="ner")
        longer = DetectedEntity("PERSON", "longer text", 0, 11, detection_layer="ner")
        result = _deduplicate([shorter, longer])
        assert len(result) == 1
        assert result[0].original_value == "longer text"

    def test_overlapping_same_length_regex_wins(self):
        regex_e = DetectedEntity("EMAIL", "a@b.com", 0, 7, detection_layer="regex")
        ner_e = DetectedEntity("PERSON", "a@b.com", 0, 7, detection_layer="ner")
        result = _deduplicate([regex_e, ner_e])
        assert len(result) == 1
        assert result[0].detection_layer == "regex"

    def test_adjacent_spans_not_merged(self):
        a = DetectedEntity("EMAIL", "a@b.com", 0, 7)
        b = DetectedEntity("IBAN", "FR76...", 7, 14)
        result = _deduplicate([a, b])
        assert len(result) == 2

    def test_result_sorted_by_position(self):
        b = DetectedEntity("IBAN", "FR76...", 20, 30)
        a = DetectedEntity("EMAIL", "a@b.com", 0, 7)
        result = _deduplicate([b, a])
        assert result[0].start == 0
        assert result[1].start == 20


# ---------------------------------------------------------------------------
# Pipeline integration tests (regex only — NER disabled for speed)
# ---------------------------------------------------------------------------


def make_pipeline_regex_only() -> Pipeline:
    with patch("config.NER_ENABLED", False):
        return Pipeline()


class TestPipelineRegexOnly:
    def test_detects_email_in_prompt(self):
        p = make_pipeline_regex_only()
        results = p.detect("Contact: test@example.com", enable_ner=False)
        assert any(e.entity_type == "EMAIL" for e in results)

    def test_detects_multiple_types(self):
        p = make_pipeline_regex_only()
        text = (
            "Email: alice@corp.com, "
            "IBAN: FR7630006000011234567890189, "
            "Tel: 06 12 34 56 78"
        )
        results = p.detect(text, enable_ner=False)
        types = {e.entity_type for e in results}
        assert "EMAIL" in types
        assert "IBAN" in types
        assert "PHONE_FR" in types

    def test_empty_text_returns_empty(self):
        p = make_pipeline_regex_only()
        assert p.detect("", enable_ner=False) == []

    def test_no_pii_returns_empty(self):
        p = make_pipeline_regex_only()
        text = "Le projet avance bien, nous sommes en bonne voie."
        assert p.detect(text, enable_ner=False) == []

    def test_deduplication_applied(self):
        p = make_pipeline_regex_only()
        # Email appears twice — should be two separate entities (different offsets)
        text = "alice@corp.com et alice@corp.com"
        results = p.detect(text, enable_ner=False)
        emails = [e for e in results if e.entity_type == "EMAIL"]
        assert len(emails) == 2

    def test_long_text_performance(self):
        """2000-token text should complete without error."""
        p = make_pipeline_regex_only()
        long_text = ("Le projet avance bien. " * 100) + "Email: perf@test.com"
        results = p.detect(long_text, enable_ner=False)
        assert any(e.entity_type == "EMAIL" for e in results)

    def test_five_pii_types_in_one_prompt(self):
        p = make_pipeline_regex_only()
        text = (
            "Bonjour, je suis alice@example.com. "
            "IBAN: FR7630006000011234567890189. "
            "Tel: 0612345678. "
            "SS: 175086912345678. "
            "CB: 4111111111111111."
        )
        results = p.detect(text, enable_ner=False)
        types = {e.entity_type for e in results}
        assert "EMAIL" in types
        assert "IBAN" in types
        assert "PHONE_FR" in types
        assert "FR_SSN" in types
        assert "CREDIT_CARD" in types


# ---------------------------------------------------------------------------
# NER mock tests (verify integration path without loading spaCy)
# ---------------------------------------------------------------------------


class TestPipelineWithNERMock:
    def test_ner_results_merged_and_deduplicated(self):
        """Verify pipeline merges NER results with regex results."""
        from layers.regex_layer import DetectedEntity

        p = make_pipeline_regex_only()
        # Inject a mock NER layer
        mock_ner = MagicMock()
        mock_ner.detect.return_value = [
            DetectedEntity("PERSON", "Jean Dupont", 0, 11, confidence=0.95, detection_layer="ner")
        ]
        p._ner = mock_ner

        text = "Jean Dupont a envoyé un email à alice@example.com"
        with patch("config.NER_ENABLED", True):
            results = p.detect(text, enable_ner=True)

        types = {e.entity_type for e in results}
        assert "PERSON" in types
        assert "EMAIL" in types

    def test_ner_failure_falls_back_to_regex(self):
        """If NER raises, pipeline returns regex results without crashing."""
        p = make_pipeline_regex_only()
        mock_ner = MagicMock()
        mock_ner.detect.side_effect = RuntimeError("spaCy model not loaded")
        p._ner = mock_ner

        text = "Contact: alice@example.com"
        with patch("config.NER_ENABLED", True):
            results = p.detect(text, enable_ner=True)

        assert any(e.entity_type == "EMAIL" for e in results)