"""
Extended Tests for Evidence-Based Strategy V2

Phase 18: Advanced Search Strategies - Evidence-Based V2 Tests
Tests evidence collection, claim verification, and synthesis.
"""

from datetime import datetime, UTC
from unittest.mock import patch, MagicMock


class TestEvidenceCollection:
    """Tests for evidence collection functionality"""

    @patch(
        "local_deep_research.advanced_search_system.strategies.evidence_based_strategy_v2.EnhancedEvidenceBasedStrategy"
    )
    def test_collect_evidence_from_search_results(self, mock_strategy_cls):
        """Test evidence is collected from search results"""
        mock_strategy = MagicMock()
        mock_strategy.analyze_topic.return_value = {
            "answer": "Test answer",
            "evidence": [{"source": "test", "text": "Evidence text"}],
        }

        result = mock_strategy.analyze_topic("test query")

        assert "evidence" in result
        assert len(result["evidence"]) > 0

    @patch(
        "local_deep_research.advanced_search_system.strategies.evidence_based_strategy_v2.EnhancedEvidenceBasedStrategy"
    )
    def test_evidence_quality_scoring(self, mock_strategy_cls):
        """Test evidence is scored for quality"""
        mock_strategy = MagicMock()
        mock_strategy._score_evidence.return_value = 0.85

        score = mock_strategy._score_evidence({"text": "Quality evidence"})

        assert score >= 0 and score <= 1

    @patch(
        "local_deep_research.advanced_search_system.strategies.evidence_based_strategy_v2.EnhancedEvidenceBasedStrategy"
    )
    def test_evidence_relevance_filtering(self, mock_strategy_cls):
        """Test irrelevant evidence is filtered out"""
        mock_strategy = MagicMock()
        mock_strategy._filter_relevant_evidence.return_value = [
            {"text": "Relevant evidence", "score": 0.9}
        ]

        evidence = [
            {"text": "Relevant evidence", "score": 0.9},
            {"text": "Irrelevant evidence", "score": 0.2},
        ]

        filtered = mock_strategy._filter_relevant_evidence(
            evidence, threshold=0.5
        )

        assert len(filtered) == 1

    @patch(
        "local_deep_research.advanced_search_system.strategies.evidence_based_strategy_v2.EnhancedEvidenceBasedStrategy"
    )
    def test_evidence_deduplication(self, mock_strategy_cls):
        """Test duplicate evidence is removed"""
        mock_strategy = MagicMock()

        evidence = [
            {"text": "Same evidence", "source": "source1"},
            {"text": "Same evidence", "source": "source2"},
            {"text": "Different evidence", "source": "source3"},
        ]

        mock_strategy._deduplicate_evidence.return_value = [
            {"text": "Same evidence", "source": "source1"},
            {"text": "Different evidence", "source": "source3"},
        ]

        deduped = mock_strategy._deduplicate_evidence(evidence)

        assert len(deduped) == 2

    @patch(
        "local_deep_research.advanced_search_system.strategies.evidence_based_strategy_v2.EnhancedEvidenceBasedStrategy"
    )
    def test_evidence_source_attribution(self, mock_strategy_cls):
        """Test evidence has proper source attribution"""
        mock_strategy = MagicMock()
        mock_strategy.analyze_topic.return_value = {
            "evidence": [
                {
                    "text": "Evidence",
                    "source": "https://example.com",
                    "title": "Example",
                }
            ]
        }

        result = mock_strategy.analyze_topic("test")

        assert result["evidence"][0]["source"] == "https://example.com"

    @patch(
        "local_deep_research.advanced_search_system.strategies.evidence_based_strategy_v2.EnhancedEvidenceBasedStrategy"
    )
    def test_evidence_timestamp_extraction(self, mock_strategy_cls):
        """Test evidence timestamps are extracted"""
        mock_strategy = MagicMock()
        mock_strategy._extract_timestamp.return_value = datetime(
            2024, 1, 15, tzinfo=UTC
        )

        timestamp = mock_strategy._extract_timestamp({"date": "2024-01-15"})

        assert timestamp.year == 2024

    @patch(
        "local_deep_research.advanced_search_system.strategies.evidence_based_strategy_v2.EnhancedEvidenceBasedStrategy"
    )
    def test_evidence_author_extraction(self, mock_strategy_cls):
        """Test evidence authors are extracted"""
        mock_strategy = MagicMock()
        mock_strategy._extract_author.return_value = "John Doe"

        author = mock_strategy._extract_author({"author": "John Doe"})

        assert author == "John Doe"

    @patch(
        "local_deep_research.advanced_search_system.strategies.evidence_based_strategy_v2.EnhancedEvidenceBasedStrategy"
    )
    def test_evidence_citation_parsing(self, mock_strategy_cls):
        """Test citation information is parsed"""
        mock_strategy = MagicMock()
        mock_strategy._parse_citation.return_value = {
            "author": "Smith, J.",
            "year": 2024,
            "title": "Research Paper",
        }

        citation = mock_strategy._parse_citation(
            "Smith, J. (2024). Research Paper."
        )

        assert citation["year"] == 2024

    @patch(
        "local_deep_research.advanced_search_system.strategies.evidence_based_strategy_v2.EnhancedEvidenceBasedStrategy"
    )
    def test_evidence_confidence_calculation(self, mock_strategy_cls):
        """Test evidence confidence is calculated"""
        mock_strategy = MagicMock()
        mock_strategy._calculate_confidence.return_value = 0.78

        confidence = mock_strategy._calculate_confidence(
            [{"score": 0.8}, {"score": 0.75}, {"score": 0.79}]
        )

        assert 0 <= confidence <= 1

    @patch(
        "local_deep_research.advanced_search_system.strategies.evidence_based_strategy_v2.EnhancedEvidenceBasedStrategy"
    )
    def test_conflicting_evidence_handling(self, mock_strategy_cls):
        """Test conflicting evidence is identified"""
        mock_strategy = MagicMock()
        mock_strategy._find_conflicts.return_value = [
            {"claim1": "A is true", "claim2": "A is false"}
        ]

        evidence = [{"claim": "A is true"}, {"claim": "A is false"}]

        conflicts = mock_strategy._find_conflicts(evidence)

        assert len(conflicts) == 1

    @patch(
        "local_deep_research.advanced_search_system.strategies.evidence_based_strategy_v2.EnhancedEvidenceBasedStrategy"
    )
    def test_evidence_synthesis_prompt(self, mock_strategy_cls):
        """Test synthesis prompt is generated"""
        mock_strategy = MagicMock()
        mock_strategy._create_synthesis_prompt.return_value = (
            "Synthesize the following evidence..."
        )

        prompt = mock_strategy._create_synthesis_prompt(
            [{"text": "Evidence 1"}]
        )

        assert "evidence" in prompt.lower() or "synthesize" in prompt.lower()

    @patch(
        "local_deep_research.advanced_search_system.strategies.evidence_based_strategy_v2.EnhancedEvidenceBasedStrategy"
    )
    def test_evidence_ranking_algorithm(self, mock_strategy_cls):
        """Test evidence is ranked properly"""
        mock_strategy = MagicMock()

        evidence = [
            {"text": "Low quality", "score": 0.3},
            {"text": "High quality", "score": 0.9},
            {"text": "Medium quality", "score": 0.6},
        ]

        mock_strategy._rank_evidence.return_value = sorted(
            evidence, key=lambda x: x["score"], reverse=True
        )

        ranked = mock_strategy._rank_evidence(evidence)

        assert ranked[0]["score"] == 0.9

    @patch(
        "local_deep_research.advanced_search_system.strategies.evidence_based_strategy_v2.EnhancedEvidenceBasedStrategy"
    )
    def test_evidence_clustering(self, mock_strategy_cls):
        """Test evidence is clustered by topic"""
        mock_strategy = MagicMock()
        mock_strategy._cluster_evidence.return_value = {
            "topic1": [{"text": "Evidence about topic 1"}],
            "topic2": [{"text": "Evidence about topic 2"}],
        }

        clusters = mock_strategy._cluster_evidence(
            [
                {"text": "Evidence about topic 1"},
                {"text": "Evidence about topic 2"},
            ]
        )

        assert len(clusters) == 2

    @patch(
        "local_deep_research.advanced_search_system.strategies.evidence_based_strategy_v2.EnhancedEvidenceBasedStrategy"
    )
    def test_evidence_gap_identification(self, mock_strategy_cls):
        """Test evidence gaps are identified"""
        mock_strategy = MagicMock()
        mock_strategy._identify_gaps.return_value = [
            "No evidence found for aspect X",
            "Limited evidence for claim Y",
        ]

        gaps = mock_strategy._identify_gaps({"query": "test", "evidence": []})

        assert len(gaps) > 0

    @patch(
        "local_deep_research.advanced_search_system.strategies.evidence_based_strategy_v2.EnhancedEvidenceBasedStrategy"
    )
    def test_evidence_chain_building(self, mock_strategy_cls):
        """Test evidence chain is built"""
        mock_strategy = MagicMock()
        mock_strategy._build_evidence_chain.return_value = [
            {"step": 1, "evidence": "First point"},
            {"step": 2, "evidence": "Second point"},
        ]

        chain = mock_strategy._build_evidence_chain(
            [{"text": "First point"}, {"text": "Second point"}]
        )

        assert len(chain) == 2


class TestClaimVerification:
    """Tests for claim verification functionality"""

    @patch(
        "local_deep_research.advanced_search_system.strategies.evidence_based_strategy_v2.EnhancedEvidenceBasedStrategy"
    )
    def test_claim_extraction_from_text(self, mock_strategy_cls):
        """Test claims are extracted from text"""
        mock_strategy = MagicMock()
        mock_strategy._extract_claims.return_value = [
            "The sky is blue",
            "Water is wet",
        ]

        text = "The sky is blue. Water is wet. This is a fact."
        claims = mock_strategy._extract_claims(text)

        assert len(claims) == 2

    @patch(
        "local_deep_research.advanced_search_system.strategies.evidence_based_strategy_v2.EnhancedEvidenceBasedStrategy"
    )
    def test_claim_classification(self, mock_strategy_cls):
        """Test claims are classified by type"""
        mock_strategy = MagicMock()
        mock_strategy._classify_claim.return_value = "factual"

        classification = mock_strategy._classify_claim("The earth is round")

        assert classification in ["factual", "opinion", "uncertain"]

    @patch(
        "local_deep_research.advanced_search_system.strategies.evidence_based_strategy_v2.EnhancedEvidenceBasedStrategy"
    )
    def test_claim_evidence_matching(self, mock_strategy_cls):
        """Test claims are matched to supporting evidence"""
        mock_strategy = MagicMock()
        mock_strategy._match_evidence_to_claim.return_value = [
            {"evidence": "Supporting text", "relevance": 0.9}
        ]

        claim = "Climate change is real"
        evidence = [{"text": "Scientific consensus supports climate change"}]

        matches = mock_strategy._match_evidence_to_claim(claim, evidence)

        assert len(matches) > 0

    @patch(
        "local_deep_research.advanced_search_system.strategies.evidence_based_strategy_v2.EnhancedEvidenceBasedStrategy"
    )
    def test_claim_confidence_scoring(self, mock_strategy_cls):
        """Test claim confidence is scored"""
        mock_strategy = MagicMock()
        mock_strategy._score_claim_confidence.return_value = 0.85

        score = mock_strategy._score_claim_confidence(
            claim="Test claim",
            supporting_evidence=[{"text": "Support 1"}, {"text": "Support 2"}],
        )

        assert 0 <= score <= 1

    @patch(
        "local_deep_research.advanced_search_system.strategies.evidence_based_strategy_v2.EnhancedEvidenceBasedStrategy"
    )
    def test_claim_contradiction_detection(self, mock_strategy_cls):
        """Test contradicting claims are detected"""
        mock_strategy = MagicMock()
        mock_strategy._detect_contradictions.return_value = [
            {"claim1": "A is true", "claim2": "A is false", "type": "direct"}
        ]

        claims = ["A is true", "A is false"]
        contradictions = mock_strategy._detect_contradictions(claims)

        assert len(contradictions) == 1

    @patch(
        "local_deep_research.advanced_search_system.strategies.evidence_based_strategy_v2.EnhancedEvidenceBasedStrategy"
    )
    def test_claim_support_counting(self, mock_strategy_cls):
        """Test number of supporting evidence is counted"""
        mock_strategy = MagicMock()
        mock_strategy._count_support.return_value = 5

        count = mock_strategy._count_support(
            "Test claim", [{"text": f"Support {i}"} for i in range(5)]
        )

        assert count == 5

    @patch(
        "local_deep_research.advanced_search_system.strategies.evidence_based_strategy_v2.EnhancedEvidenceBasedStrategy"
    )
    def test_claim_source_diversity(self, mock_strategy_cls):
        """Test source diversity for claims"""
        mock_strategy = MagicMock()
        mock_strategy._calculate_source_diversity.return_value = 0.8

        evidence = [
            {"source": "source1.com"},
            {"source": "source2.com"},
            {"source": "source3.com"},
        ]

        diversity = mock_strategy._calculate_source_diversity(evidence)

        assert 0 <= diversity <= 1

    @patch(
        "local_deep_research.advanced_search_system.strategies.evidence_based_strategy_v2.EnhancedEvidenceBasedStrategy"
    )
    def test_claim_recency_weighting(self, mock_strategy_cls):
        """Test recent claims are weighted higher"""
        mock_strategy = MagicMock()
        mock_strategy._apply_recency_weight.return_value = 0.95

        # Recent date should have higher weight
        weight = mock_strategy._apply_recency_weight(datetime.now(UTC))

        assert weight > 0.5

    @patch(
        "local_deep_research.advanced_search_system.strategies.evidence_based_strategy_v2.EnhancedEvidenceBasedStrategy"
    )
    def test_claim_authority_scoring(self, mock_strategy_cls):
        """Test authority of sources is scored"""
        mock_strategy = MagicMock()
        mock_strategy._score_authority.return_value = 0.9

        score = mock_strategy._score_authority(
            {"source": "nature.com", "type": "academic"}
        )

        assert score > 0.7

    @patch(
        "local_deep_research.advanced_search_system.strategies.evidence_based_strategy_v2.EnhancedEvidenceBasedStrategy"
    )
    def test_claim_consensus_calculation(self, mock_strategy_cls):
        """Test consensus level is calculated"""
        mock_strategy = MagicMock()
        mock_strategy._calculate_consensus.return_value = 0.85

        evidence = [{"supports": True} for _ in range(8)] + [
            {"supports": False} for _ in range(2)
        ]

        consensus = mock_strategy._calculate_consensus(evidence)

        assert consensus >= 0.8

    @patch(
        "local_deep_research.advanced_search_system.strategies.evidence_based_strategy_v2.EnhancedEvidenceBasedStrategy"
    )
    def test_multi_claim_synthesis(self, mock_strategy_cls):
        """Test multiple claims are synthesized"""
        mock_strategy = MagicMock()
        mock_strategy._synthesize_claims.return_value = (
            "Synthesized conclusion based on claims"
        )

        claims = ["Claim 1", "Claim 2", "Claim 3"]
        synthesis = mock_strategy._synthesize_claims(claims)

        assert len(synthesis) > 0

    @patch(
        "local_deep_research.advanced_search_system.strategies.evidence_based_strategy_v2.EnhancedEvidenceBasedStrategy"
    )
    def test_claim_hierarchy_building(self, mock_strategy_cls):
        """Test claim hierarchy is built"""
        mock_strategy = MagicMock()
        mock_strategy._build_claim_hierarchy.return_value = {
            "main_claim": "Main point",
            "sub_claims": ["Sub point 1", "Sub point 2"],
        }

        hierarchy = mock_strategy._build_claim_hierarchy(
            ["Main point", "Sub point 1", "Sub point 2"]
        )

        assert "main_claim" in hierarchy

    @patch(
        "local_deep_research.advanced_search_system.strategies.evidence_based_strategy_v2.EnhancedEvidenceBasedStrategy"
    )
    def test_claim_dependency_graph(self, mock_strategy_cls):
        """Test claim dependencies are mapped"""
        mock_strategy = MagicMock()
        mock_strategy._build_dependency_graph.return_value = {
            "A": ["B", "C"],
            "B": [],
            "C": ["D"],
        }

        graph = mock_strategy._build_dependency_graph(
            ["A depends on B and C", "C depends on D"]
        )

        assert "A" in graph

    @patch(
        "local_deep_research.advanced_search_system.strategies.evidence_based_strategy_v2.EnhancedEvidenceBasedStrategy"
    )
    def test_claim_verification_prompt(self, mock_strategy_cls):
        """Test verification prompt is generated"""
        mock_strategy = MagicMock()
        mock_strategy._create_verification_prompt.return_value = (
            "Verify the following claim..."
        )

        prompt = mock_strategy._create_verification_prompt(
            "Test claim", [{"text": "Evidence"}]
        )

        assert "verify" in prompt.lower() or "claim" in prompt.lower()

    @patch(
        "local_deep_research.advanced_search_system.strategies.evidence_based_strategy_v2.EnhancedEvidenceBasedStrategy"
    )
    def test_claim_uncertainty_quantification(self, mock_strategy_cls):
        """Test uncertainty is quantified"""
        mock_strategy = MagicMock()
        mock_strategy._quantify_uncertainty.return_value = 0.15

        uncertainty = mock_strategy._quantify_uncertainty(
            "Test claim", [{"text": "Mixed evidence"}]
        )

        assert 0 <= uncertainty <= 1

    @patch(
        "local_deep_research.advanced_search_system.strategies.evidence_based_strategy_v2.EnhancedEvidenceBasedStrategy"
    )
    def test_claim_revision_tracking(self, mock_strategy_cls):
        """Test claim revisions are tracked"""
        mock_strategy = MagicMock()
        mock_strategy._track_revision.return_value = {
            "original": "Initial claim",
            "revised": "Updated claim",
            "reason": "New evidence",
        }

        revision = mock_strategy._track_revision(
            "Initial claim", "Updated claim", "New evidence"
        )

        assert "original" in revision

    @patch(
        "local_deep_research.advanced_search_system.strategies.evidence_based_strategy_v2.EnhancedEvidenceBasedStrategy"
    )
    def test_claim_merge_conflicting(self, mock_strategy_cls):
        """Test conflicting claims are merged"""
        mock_strategy = MagicMock()
        mock_strategy._merge_conflicting_claims.return_value = (
            "Merged claim acknowledging both perspectives"
        )

        merged = mock_strategy._merge_conflicting_claims(["View A", "View B"])

        assert len(merged) > 0

    @patch(
        "local_deep_research.advanced_search_system.strategies.evidence_based_strategy_v2.EnhancedEvidenceBasedStrategy"
    )
    def test_claim_split_compound(self, mock_strategy_cls):
        """Test compound claims are split"""
        mock_strategy = MagicMock()
        mock_strategy._split_compound_claim.return_value = [
            "Claim part 1",
            "Claim part 2",
        ]

        compound = "Claim part 1 and claim part 2"
        parts = mock_strategy._split_compound_claim(compound)

        assert len(parts) == 2

    @patch(
        "local_deep_research.advanced_search_system.strategies.evidence_based_strategy_v2.EnhancedEvidenceBasedStrategy"
    )
    def test_claim_normalize_text(self, mock_strategy_cls):
        """Test claim text is normalized"""
        mock_strategy = MagicMock()
        mock_strategy._normalize_claim.return_value = "normalized claim text"

        normalized = mock_strategy._normalize_claim("  Normalized CLAIM Text  ")

        assert normalized == "normalized claim text"

    @patch(
        "local_deep_research.advanced_search_system.strategies.evidence_based_strategy_v2.EnhancedEvidenceBasedStrategy"
    )
    def test_claim_semantic_similarity(self, mock_strategy_cls):
        """Test semantic similarity between claims"""
        mock_strategy = MagicMock()
        mock_strategy._calculate_similarity.return_value = 0.92

        similarity = mock_strategy._calculate_similarity(
            "The cat sat on the mat", "A cat was sitting on a mat"
        )

        assert similarity > 0.8


class TestStrategyIntegration:
    """Tests for strategy integration and orchestration"""

    @patch(
        "local_deep_research.advanced_search_system.strategies.evidence_based_strategy_v2.EnhancedEvidenceBasedStrategy"
    )
    def test_analyze_topic_returns_result(self, mock_strategy_cls):
        """Test analyze_topic returns proper result"""
        mock_strategy = MagicMock()
        mock_strategy.analyze_topic.return_value = {
            "answer": "Test answer",
            "confidence": 0.85,
            "sources": [],
        }

        result = mock_strategy.analyze_topic("test query")

        assert "answer" in result
        assert "confidence" in result

    @patch(
        "local_deep_research.advanced_search_system.strategies.evidence_based_strategy_v2.EnhancedEvidenceBasedStrategy"
    )
    def test_progress_callback_invoked(self, mock_strategy_cls):
        """Test progress callback is invoked during analysis"""
        mock_strategy = MagicMock()
        mock_callback = MagicMock()

        mock_strategy.set_progress_callback(mock_callback)

        # Should have callback set
        mock_strategy.set_progress_callback.assert_called_once()

    @patch(
        "local_deep_research.advanced_search_system.strategies.evidence_based_strategy_v2.EnhancedEvidenceBasedStrategy"
    )
    def test_source_profile_tracking(self, mock_strategy_cls):
        """Test source profiles are tracked"""
        mock_strategy = MagicMock()
        mock_strategy.source_profiles = {
            "arxiv.org": {"success_rate": 0.9, "usage_count": 10},
            "pubmed.gov": {"success_rate": 0.85, "usage_count": 8},
        }

        assert mock_strategy.source_profiles["arxiv.org"]["success_rate"] == 0.9

    @patch(
        "local_deep_research.advanced_search_system.strategies.evidence_based_strategy_v2.EnhancedEvidenceBasedStrategy"
    )
    def test_query_pattern_learning(self, mock_strategy_cls):
        """Test query patterns are learned"""
        mock_strategy = MagicMock()
        mock_strategy.query_patterns = [
            {"pattern": "what is", "success_rate": 0.8},
            {"pattern": "how does", "success_rate": 0.75},
        ]

        assert len(mock_strategy.query_patterns) == 2

    @patch(
        "local_deep_research.advanced_search_system.strategies.evidence_based_strategy_v2.EnhancedEvidenceBasedStrategy"
    )
    def test_multi_stage_discovery(self, mock_strategy_cls):
        """Test multi-stage discovery process"""
        mock_strategy = MagicMock()
        mock_strategy._enhanced_candidate_discovery.return_value = {
            "stage_1": ["candidate1"],
            "stage_2": ["candidate2"],
            "total": 2,
        }

        result = mock_strategy._enhanced_candidate_discovery("test query")

        assert result["total"] == 2
