// Analysis rendering and stub execution methods for AdvancedUnifiedContextBuilder.
// Contains: add_big_o_analysis(), add_entropy_analysis(), add_provability_analysis(),
// add_graph_metrics(), add_tdg_analysis(), add_dead_code_analysis(), add_satd_analysis(),
// add_quality_insights(), add_recommendations(), and all run_*() stub methods.

impl AdvancedUnifiedContextBuilder {
    async fn add_big_o_analysis(&mut self) -> Result<()> {
        self.output.push_str("## Big-O Complexity Analysis\n\n");

        match self.run_big_o_analysis().await {
            Ok(analysis) => {
                if analysis.is_empty() {
                    self.output
                        .push_str("*No complexity patterns detected*\n\n");
                } else {
                    for (function, complexity) in analysis {
                        self.output
                            .push_str(&format!("- `{}`: {}\n", function, complexity));
                    }
                    self.output.push('\n');
                }
            }
            Err(e) => {
                warn!("Big-O analysis failed: {}", e);
                self.output.push_str("*Big-O analysis unavailable*\n\n");
            }
        }

        Ok(())
    }

    async fn add_entropy_analysis(&mut self) -> Result<()> {
        self.output.push_str("## Entropy Analysis\n\n");

        match self.run_entropy_analysis().await {
            Ok(entropy_data) => {
                self.output.push_str(&format!(
                    "- **Pattern Entropy**: {:.3}\n",
                    entropy_data.pattern_entropy
                ));
                self.output.push_str(&format!(
                    "- **Code Duplication**: {:.1}%\n",
                    entropy_data.duplication_percentage
                ));
                self.output.push_str(&format!(
                    "- **Structural Entropy**: {:.3}\n",
                    entropy_data.structural_entropy
                ));

                if !entropy_data.actionable_items.is_empty() {
                    self.output.push_str("\n### Actionable Improvements:\n");
                    for item in &entropy_data.actionable_items {
                        self.output.push_str(&format!("- {}\n", item));
                    }
                }
                self.output.push('\n');
            }
            Err(e) => {
                warn!("Entropy analysis failed: {}", e);
                self.output.push_str("*Entropy analysis unavailable*\n\n");
            }
        }

        Ok(())
    }

    async fn add_provability_analysis(&mut self) -> Result<()> {
        self.output.push_str("## Provability Analysis\n\n");

        match self.run_provability_analysis().await {
            Ok(provability_data) => {
                self.output.push_str("### Invariants\n");
                for invariant in &provability_data.invariants {
                    self.output.push_str(&format!("- {}\n", invariant));
                }

                self.output.push_str("\n### Pre-conditions\n");
                for pre in &provability_data.preconditions {
                    self.output.push_str(&format!("- {}\n", pre));
                }

                self.output.push_str("\n### Post-conditions\n");
                for post in &provability_data.postconditions {
                    self.output.push_str(&format!("- {}\n", post));
                }

                self.output.push_str(&format!(
                    "\n### Verification Status: {}\n",
                    if provability_data.verified {
                        "✓ Verified"
                    } else {
                        "⚠ Unverified"
                    }
                ));
                self.output.push('\n');
            }
            Err(e) => {
                warn!("Provability analysis failed: {}", e);
                self.output
                    .push_str("*Provability analysis unavailable*\n\n");
            }
        }

        Ok(())
    }

    async fn add_graph_metrics(&mut self) -> Result<()> {
        self.output.push_str("## Graph Metrics\n\n");

        match self.run_graph_metrics_analysis().await {
            Ok(graph_data) => {
                self.output.push_str("### Centrality Measures\n");
                self.output.push_str(&format!(
                    "- **Betweenness Centrality**: {:.3}\n",
                    graph_data.betweenness
                ));
                self.output.push_str(&format!(
                    "- **Closeness Centrality**: {:.3}\n",
                    graph_data.closeness
                ));
                self.output.push_str(&format!(
                    "- **Degree Centrality**: {:.3}\n",
                    graph_data.degree
                ));

                self.output.push_str("\n### Graph Structure\n");
                self.output
                    .push_str(&format!("- **Nodes**: {}\n", graph_data.node_count));
                self.output
                    .push_str(&format!("- **Edges**: {}\n", graph_data.edge_count));
                self.output
                    .push_str(&format!("- **Density**: {:.3}\n", graph_data.density));

                if !graph_data.critical_paths.is_empty() {
                    self.output.push_str("\n### Critical Paths\n");
                    for path in &graph_data.critical_paths {
                        self.output.push_str(&format!("- {}\n", path));
                    }
                }
                self.output.push('\n');
            }
            Err(e) => {
                warn!("Graph metrics analysis failed: {}", e);
                self.output.push_str("*Graph metrics unavailable*\n\n");
            }
        }

        Ok(())
    }

    async fn add_tdg_analysis(&mut self) -> Result<()> {
        self.output.push_str("## Technical Debt Gradient (TDG)\n\n");

        match self.run_tdg_analysis().await {
            Ok(tdg_data) => {
                self.output.push_str(&format!(
                    "### Overall TDG Score: {:.2}\n\n",
                    tdg_data.overall_score
                ));

                if !tdg_data.file_scores.is_empty() {
                    self.output.push_str("### File-level TDG Scores\n");
                    for (file, score) in &tdg_data.file_scores {
                        self.output
                            .push_str(&format!("- `{}`: {:.2}\n", file, score));
                    }
                }

                if !tdg_data.hotspots.is_empty() {
                    self.output.push_str("\n### Debt Hotspots\n");
                    for hotspot in &tdg_data.hotspots {
                        self.output.push_str(&format!(
                            "- {} (Score: {:.2})\n",
                            hotspot.location, hotspot.score
                        ));
                    }
                }

                if !tdg_data.priorities.is_empty() {
                    self.output.push_str("\n### Refactoring Priorities\n");
                    for (i, priority) in tdg_data.priorities.iter().enumerate().take(5) {
                        self.output.push_str(&format!("{}. {}\n", i + 1, priority));
                    }
                }
                self.output.push('\n');
            }
            Err(e) => {
                warn!("TDG analysis failed: {}", e);
                self.output.push_str("*TDG analysis unavailable*\n\n");
            }
        }

        Ok(())
    }

    async fn add_dead_code_analysis(&mut self) -> Result<()> {
        self.output.push_str("## Dead Code Analysis\n\n");

        match self.run_dead_code_analysis().await {
            Ok(dead_code_data) => {
                let total_dead = dead_code_data.total_dead_items();

                if total_dead == 0 {
                    self.output.push_str("✓ No dead code detected\n\n");
                } else {
                    self.output
                        .push_str(&format!("⚠ Total dead code items: {}\n\n", total_dead));

                    if !dead_code_data.unreachable_functions.is_empty() {
                        self.output.push_str("### Unreachable Functions\n");
                        for func in &dead_code_data.unreachable_functions {
                            self.output.push_str(&format!("- `{}`\n", func));
                        }
                    }

                    if !dead_code_data.unused_variables.is_empty() {
                        self.output.push_str("\n### Unused Variables\n");
                        for var in &dead_code_data.unused_variables {
                            self.output.push_str(&format!("- `{}`\n", var));
                        }
                    }

                    if !dead_code_data.unused_imports.is_empty() {
                        self.output.push_str("\n### Unused Imports\n");
                        for import in &dead_code_data.unused_imports {
                            self.output.push_str(&format!("- `{}`\n", import));
                        }
                    }
                }
                self.output.push('\n');
            }
            Err(e) => {
                warn!("Dead code analysis failed: {}", e);
                self.output.push_str("*Dead code analysis unavailable*\n\n");
            }
        }

        Ok(())
    }

    async fn add_satd_analysis(&mut self) -> Result<()> {
        self.output
            .push_str("## Self-Admitted Technical Debt (SATD)\n\n");

        match self.run_satd_analysis().await {
            Ok(satd_data) => {
                let total_satd = satd_data.total_satd_count();

                self.output
                    .push_str(&format!("### Total SATD Comments: {}\n\n", total_satd));

                if !satd_data.todos.is_empty() {
                    self.output
                        .push_str(&format!("### TODO Comments ({})\n", satd_data.todos.len()));
                    for todo in satd_data.todos.iter().take(5) {
                        self.output
                            .push_str(&format!("- {}: {}\n", todo.location, todo.comment));
                    }
                    if satd_data.todos.len() > 5 {
                        self.output
                            .push_str(&format!("- ... and {} more\n", satd_data.todos.len() - 5));
                    }
                }

                if !satd_data.fixmes.is_empty() {
                    self.output.push_str(&format!(
                        "\n### FIXME Comments ({})\n",
                        satd_data.fixmes.len()
                    ));
                    for fixme in satd_data.fixmes.iter().take(3) {
                        self.output
                            .push_str(&format!("- {}: {}\n", fixme.location, fixme.comment));
                    }
                }

                if !satd_data.hacks.is_empty() {
                    self.output.push_str(&format!(
                        "\n### HACK Comments ({})\n",
                        satd_data.hacks.len()
                    ));
                    for hack in satd_data.hacks.iter().take(3) {
                        self.output
                            .push_str(&format!("- {}: {}\n", hack.location, hack.comment));
                    }
                }

                self.output.push_str("\n### Debt Categories\n");
                self.output
                    .push_str(&format!("- **Design Debt**: {}\n", satd_data.design_debt));
                self.output
                    .push_str(&format!("- **Code Debt**: {}\n", satd_data.code_debt));
                self.output
                    .push_str(&format!("- **Test Debt**: {}\n", satd_data.test_debt));
                self.output.push_str(&format!(
                    "- **Documentation Debt**: {}\n",
                    satd_data.doc_debt
                ));
                self.output.push('\n');
            }
            Err(e) => {
                warn!("SATD analysis failed: {}", e);
                self.output.push_str("*SATD analysis unavailable*\n\n");
            }
        }

        Ok(())
    }

    fn add_quality_insights(&mut self, context: &ProjectContext) {
        self.output.push_str("## Quality Insights\n\n");

        let total_functions = context.summary.total_functions;
        let total_files = context.summary.total_files;

        if total_functions > 0 {
            let avg_functions_per_file = total_functions as f64 / total_files.max(1) as f64;

            self.output.push_str(&format!(
                "- **Codebase Size**: {} functions across {} files\n",
                total_functions, total_files
            ));
            self.output.push_str(&format!(
                "- **Average Functions per File**: {:.1}\n",
                avg_functions_per_file
            ));

            if avg_functions_per_file > 10.0 {
                self.output
                    .push_str("- ⚠ High function density - consider modularization\n");
            }

            // Calculate complexity insights
            let mut high_complexity_count = 0;
            for file in &context.files {
                if let Some(complexity) = &file.complexity_metrics {
                    // Count based on cyclomatic complexity threshold
                    if complexity.total_complexity.cyclomatic > 10 {
                        high_complexity_count += 1;
                    }
                }
            }

            if high_complexity_count > 0 {
                self.output.push_str(&format!(
                    "- ⚠ High complexity functions: {}\n",
                    high_complexity_count
                ));
            }
        }

        self.output.push('\n');
    }

    fn add_recommendations(&mut self, context: &ProjectContext) {
        self.output.push_str("## Recommendations\n\n");

        let mut recommendations = Vec::new();

        // Based on function count
        if context.summary.total_functions > 100 {
            recommendations
                .push("Consider breaking down large modules into smaller, focused components");
        }

        // Based on complexity
        let mut total_complexity: usize = 0;
        let mut file_count = 0;
        for file in &context.files {
            if let Some(complexity) = &file.complexity_metrics {
                total_complexity += complexity.total_complexity.cyclomatic as usize;
                file_count += 1;
            }
        }

        if file_count > 0 {
            let avg_complexity = total_complexity as f64 / file_count as f64;
            if avg_complexity > 10.0 {
                recommendations
                    .push("High average complexity detected - refactor complex functions");
            }
        }

        // Always add these recommendations
        recommendations.push("Enable all analysis features for comprehensive insights");
        recommendations.push("Review identified technical debt and create action items");
        recommendations.push("Monitor TDG scores over time to track improvement");

        for rec in recommendations {
            self.output.push_str(&format!("- {}\n", rec));
        }

        self.output.push('\n');
    }

    // Analysis execution methods (stubs)
    async fn run_big_o_analysis(&self) -> Result<HashMap<String, String>> {
        // Stub - integrate with actual BigOAnalyzer
        Ok(HashMap::new())
    }

    async fn run_entropy_analysis(&self) -> Result<EntropyData> {
        // Stub - integrate with actual entropy analyzer
        Ok(EntropyData {
            pattern_entropy: 0.75,
            duplication_percentage: 16.4,
            structural_entropy: 0.82,
            actionable_items: vec![],
        })
    }

    async fn run_provability_analysis(&self) -> Result<ProvabilityData> {
        // Stub - integrate with actual provability analyzer
        Ok(ProvabilityData {
            invariants: vec![],
            preconditions: vec![],
            postconditions: vec![],
            verified: false,
        })
    }

    async fn run_graph_metrics_analysis(&self) -> Result<GraphMetricsData> {
        // Stub - integrate with actual graph analyzer
        Ok(GraphMetricsData {
            betweenness: 0.0,
            closeness: 0.0,
            degree: 0.0,
            node_count: 0,
            edge_count: 0,
            density: 0.0,
            critical_paths: vec![],
        })
    }

    async fn run_tdg_analysis(&self) -> Result<TdgData> {
        // Stub - integrate with actual TDG analyzer
        Ok(TdgData {
            overall_score: 0.0,
            file_scores: HashMap::new(),
            hotspots: vec![],
            priorities: vec![],
        })
    }

    async fn run_dead_code_analysis(&self) -> Result<DeadCodeData> {
        // Stub - integrate with actual dead code analyzer
        Ok(DeadCodeData {
            unreachable_functions: vec![],
            unused_variables: vec![],
            unused_imports: vec![],
        })
    }

    async fn run_satd_analysis(&self) -> Result<SatdData> {
        // Stub - integrate with actual SATD analyzer
        Ok(SatdData {
            todos: vec![],
            fixmes: vec![],
            hacks: vec![],
            design_debt: 0,
            code_debt: 0,
            test_debt: 0,
            doc_debt: 0,
        })
    }
}
