"""Unit tests for custom tools."""

import pytest

from src.tools import (
    analyze_content_for_opportunities,
    create_engagement_hooks,
    extract_key_findings,
    format_for_platform,
    generate_citations,
    generate_seo_keywords,
    search_industry_trends,
)


class TestFormatForPlatform:
    """Tests for format_for_platform tool."""

    @pytest.mark.unit
    def test_format_blog(self):
        """Test blog formatting."""
        result = format_for_platform("Test content", "blog", "AI Research")
        assert result["status"] == "success"
        assert result["platform"] == "blog"
        assert "markdown" in result["metadata"]["format"]
        assert "AI Research" in result["formatted_content"]

    @pytest.mark.unit
    def test_format_linkedin(self):
        """Test LinkedIn formatting."""
        result = format_for_platform("Test content", "linkedin", "ML Topic")
        assert result["status"] == "success"
        assert result["platform"] == "linkedin"
        assert "Key Takeaways" in result["formatted_content"]

    @pytest.mark.unit
    def test_format_twitter(self):
        """Test Twitter formatting."""
        result = format_for_platform("Test content", "twitter", "AI News")
        assert result["status"] == "success"
        assert result["platform"] == "twitter"
        assert "Thread" in result["formatted_content"]

    @pytest.mark.unit
    def test_invalid_platform(self):
        """Test invalid platform error."""
        result = format_for_platform("Test content", "invalid", "Topic")
        assert result["status"] == "error"
        assert "Unsupported platform" in result["error_message"]


class TestGenerateCitations:
    """Tests for generate_citations tool."""

    @pytest.mark.unit
    def test_apa_citations(self):
        """Test APA citation generation."""
        sources = [
            {
                "title": "Test Paper",
                "authors": "Smith, J.",
                "link": "https://arxiv.org/abs/123",
                "year": "2024",
            }
        ]
        result = generate_citations(sources, "apa")
        assert result["status"] == "success"
        assert len(result["citations"]) == 1
        assert "Smith, J." in result["citations"][0]
        assert "(2024)" in result["citations"][0]

    @pytest.mark.unit
    def test_empty_sources(self):
        """Test error with no sources."""
        result = generate_citations([])
        assert result["status"] == "error"


class TestExtractKeyFindings:
    """Tests for extract_key_findings tool."""

    @pytest.mark.unit
    def test_extract_findings(self):
        """Test key findings extraction."""
        text = "Research found that AI improves efficiency. Studies showed significant results."
        result = extract_key_findings(text, max_findings=2)
        assert result["status"] == "success"
        assert len(result["findings"]) <= 2

    @pytest.mark.unit
    def test_insufficient_text(self):
        """Test error with short text."""
        result = extract_key_findings("Too short", max_findings=5)
        assert result["status"] == "error"


class TestGenerateSeoKeywords:
    """Tests for generate_seo_keywords tool."""

    @pytest.mark.unit
    def test_keyword_generation(self):
        """Test SEO keyword generation."""
        result = generate_seo_keywords("Machine Learning", "AI Consultant")
        assert result["status"] == "success"
        assert len(result["primary_keywords"]) > 0
        assert len(result["technical_keywords"]) > 0
        assert "AI Consultant" in result["primary_keywords"]


class TestCreateEngagementHooks:
    """Tests for create_engagement_hooks tool."""

    @pytest.mark.unit
    def test_opportunities_goal(self):
        """Test hooks for opportunities goal."""
        result = create_engagement_hooks("AI Agents", "opportunities")
        assert result["status"] == "success"
        assert len(result["opening_hooks"]) > 0
        assert len(result["closing_ctas"]) > 0
        assert result["goal"] == "opportunities"

    @pytest.mark.unit
    def test_discussion_goal(self):
        """Test hooks for discussion goal."""
        result = create_engagement_hooks("NLP", "discussion")
        assert result["status"] == "success"
        assert len(result["discussion_questions"]) > 0


class TestAnalyzeContentForOpportunities:
    """Tests for analyze_content_for_opportunities tool."""

    @pytest.mark.unit
    def test_content_analysis(self):
        """Test content opportunity analysis."""
        content = """
        As an AI Consultant specializing in Machine Learning, I've built production systems
        using PyTorch and TensorFlow. Let's connect to discuss how AI can solve your business problems.
        Check out my GitHub for real-world implementations.
        """
        result = analyze_content_for_opportunities(content, "AI Consultant")
        assert result["status"] == "success"
        assert "opportunity_score" in result
        assert "seo_score" in result
        assert "engagement_score" in result
        assert 0 <= result["opportunity_score"] <= 100

    @pytest.mark.unit
    def test_short_content_error(self):
        """Test error with too short content."""
        result = analyze_content_for_opportunities("Too short")
        assert result["status"] == "error"


class TestSearchIndustryTrends:
    """Tests for search_industry_trends tool."""

    @pytest.mark.integration
    @pytest.mark.slow
    def test_trend_search(self):
        """Test industry trend search (requires internet)."""
        result = search_industry_trends("Machine Learning", "global", max_results=3)
        assert result["status"] == "success"
        assert "trends" in result
        assert "hot_skills" in result
        assert len(result["hot_skills"]) > 0