pmat 3.16.0

PMAT - Zero-config AI context generation and code quality toolkit (CLI, MCP, HTTP)
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//! Advanced analysis command handlers
//!
//! This module contains handlers for advanced analysis features like
//! deep context, TDG, provability, and comprehensive analysis.

#![cfg_attr(coverage_nightly, coverage(off))]
use crate::cli::{
    ComprehensiveOutputFormat, DagType, DeepContextOutputFormat, DefectPredictionOutputFormat,
    GraphMetricType, GraphMetricsOutputFormat, MakefileOutputFormat, SymbolTableOutputFormat,
    SymbolTypeFilter, TdgOutputFormat,
};
use crate::services::simple_deep_context::{SimpleAnalysisConfig, SimpleDeepContext};
use anyhow::Result;
use std::path::PathBuf;
use tracing::{debug, info};

/// Handle deep context analysis command
///
/// Performs comprehensive analysis of project context, including code relationships,
/// dependencies, and architectural patterns. This addresses issue #33 where the
/// command wasn't finding anything by implementing proper file discovery and analysis.
///
/// # Examples
///
/// ```no_run
/// use pmat::cli::{DeepContextOutputFormat, DagType};
/// use pmat::cli::handlers::advanced_analysis_handlers::handle_analyze_deep_context;
/// use std::path::PathBuf;
///
/// # async fn example() -> anyhow::Result<()> {
/// // Basic deep context analysis
/// handle_analyze_deep_context(
///     PathBuf::from("."),
///     None,                              // output
///     DeepContextOutputFormat::Json,     // format
///     false,                             // full
///     vec![],                            // include
///     vec![],                            // exclude
///     30,                                // period_days
///     None,                              // dag_type
///     None,                              // max_depth
///     vec![],                            // include_patterns
///     vec![],                            // exclude_patterns
///     None,                              // cache_strategy
///     false,                             // parallel
///     false,                             // verbose
///     10,                                // top_files
/// ).await?;
/// # Ok(())
/// # }
/// ```
///
/// ```no_run
/// # use pmat::cli::{DeepContextOutputFormat, DagType};
/// # use pmat::cli::handlers::advanced_analysis_handlers::handle_analyze_deep_context;
/// # use std::path::PathBuf;
/// # async fn example() -> anyhow::Result<()> {
/// // Full analysis with specific includes
/// handle_analyze_deep_context(
///     PathBuf::from("./src"),
///     Some(PathBuf::from("context.json")),
///     DeepContextOutputFormat::Json,
///     true,                              // full analysis
///     vec!["complexity".to_string(), "dependencies".to_string()],
///     vec![],
///     90,                                // 90 day history
///     Some(DagType::CallGraph),
///     Some(5),                           // max depth 5
///     vec!["**/*.rs".to_string()],       // only Rust files
///     vec!["**/tests/**".to_string()],   // exclude tests
///     Some("persistent".to_string()),
///     true,                              // parallel processing
///     true,                              // verbose output
///     20,                                // top 20 files
/// ).await?;
/// # Ok(())
/// # }
/// ```
///
/// # Returns
///
/// Returns `Ok(())` if analysis completes successfully, or an error if:
/// - Project path doesn't exist
/// - No files found to analyze
/// - Output file cannot be written
/// - Analysis encounters errors
#[allow(clippy::too_many_arguments)]
#[provable_contracts_macros::contract("pmat-core.yaml", equation = "path_exists")]
pub async fn handle_analyze_deep_context(
    project_path: PathBuf,
    output: Option<PathBuf>,
    format: DeepContextOutputFormat,
    full: bool,
    include: Vec<String>,
    _exclude: Vec<String>,
    period_days: u32,
    _dag_type: Option<DagType>,
    _max_depth: Option<usize>,
    include_patterns: Vec<String>,
    exclude_patterns: Vec<String>,
    _cache_strategy: Option<String>,
    _parallel: bool,
    verbose: bool,
    top_files: usize,
) -> Result<()> {
    info!("🔍 Starting deep context analysis");
    info!("📂 Project path: {}", project_path.display());
    info!("📊 Analysis period: {} days", period_days);

    // Create simple deep context analyzer
    let analyzer = SimpleDeepContext::new();

    // Build configuration
    let mut include_features = include;
    if full {
        include_features.push("all".to_string());
    }

    let mut combined_exclude = exclude_patterns;
    // Add common exclusions
    combined_exclude.extend([
        "**/target/**".to_string(),
        "**/node_modules/**".to_string(),
        "**/.git/**".to_string(),
        "**/build/**".to_string(),
        "**/dist/**".to_string(),
        "**/__pycache__/**".to_string(),
    ]);

    let config = SimpleAnalysisConfig {
        project_path: project_path.clone(),
        include_features,
        include_patterns,
        exclude_patterns: combined_exclude,
        enable_verbose: verbose,
    };

    if verbose {
        debug!("Analysis configuration: {:?}", config);
    }

    // Perform analysis
    let report = analyzer.analyze(config).await?;

    // Format and output results
    let output_content = match (&format, &output) {
        (DeepContextOutputFormat::Json, _) => analyzer.format_as_json(&report)?,
        (DeepContextOutputFormat::Markdown, Some(_)) => {
            // File output: real markdown
            analyzer.format_as_markdown(&report, top_files)
        }
        (DeepContextOutputFormat::Markdown, None) => {
            // Terminal output: colorized text
            format_deep_context_text(&report, top_files)
        }
        (DeepContextOutputFormat::Sarif, _) => {
            // TRACKED: Implement SARIF format
            analyzer.format_as_json(&report)?
        }
    };

    // Write output
    if let Some(output_path) = output {
        tokio::fs::write(&output_path, &output_content).await?;
        info!(
            "📄 Deep context analysis saved to: {}",
            output_path.display()
        );
    } else {
        println!("{output_content}");
    }

    // Print summary
    info!("✅ Deep context analysis completed successfully");
    info!(
        "📊 Analyzed {} files in {:?}",
        report.file_count, report.analysis_duration
    );
    info!(
        "💡 Generated {} recommendations",
        report.recommendations.len()
    );

    Ok(())
}

/// Handle TDG (Technical Debt Gradient) analysis command  
#[allow(clippy::too_many_arguments)]
#[provable_contracts_macros::contract("pmat-core.yaml", equation = "path_exists")]
pub async fn handle_analyze_tdg(
    path: PathBuf,
    threshold: Option<f64>,
    top: Option<usize>,
    format: TdgOutputFormat,
    include_components: bool,
    output: Option<PathBuf>,
    critical_only: bool,
    verbose: bool,
) -> Result<()> {
    // Use the enhanced implementation from stubs that supports all modes
    use super::new_tdg_handler::TdgAnalysisConfig;

    let config = TdgAnalysisConfig {
        path,
        threshold,
        top_files: top,
        format,
        include_components,
        output,
        critical_only,
        verbose,
    };

    super::new_tdg_handler::handle_analyze_tdg(config).await
}

/// Handle makefile analysis command
#[provable_contracts_macros::contract("pmat-core.yaml", equation = "path_exists")]
pub async fn handle_analyze_makefile(
    path: PathBuf,
    rules: Vec<String>,
    format: MakefileOutputFormat,
    fix: bool,
    gnu_version: Option<String>,
    top_files: usize,
) -> Result<()> {
    // Delegate to stub implementation for now - will be fully extracted later
    super::super::analysis_utilities::handle_analyze_makefile(
        path,
        rules,
        format,
        fix,
        gnu_version,
        top_files,
    )
    .await
}

// handle_analyze_provability has been moved to provability_handler.rs

/// Handle defect prediction analysis command
#[allow(clippy::too_many_arguments)]
#[provable_contracts_macros::contract("pmat-core.yaml", equation = "path_exists")]
pub async fn handle_analyze_defect_prediction(
    project_path: PathBuf,
    confidence_threshold: Option<f64>,
    min_lines: Option<usize>,
    include_low_confidence: bool,
    format: DefectPredictionOutputFormat,
    high_risk_only: bool,
    include_recommendations: bool,
    include: Vec<String>,
    exclude: Vec<String>,
    output: Option<PathBuf>,
    perf: bool,
    top_files: usize,
) -> Result<()> {
    // Delegate to the real implementation
    crate::cli::analysis::defect_prediction::handle_analyze_defect_prediction(
        project_path,
        confidence_threshold.unwrap_or(0.5) as f32,
        min_lines.unwrap_or(100),
        include_low_confidence,
        format,
        high_risk_only,
        include_recommendations,
        Some(include.join(",")),
        Some(exclude.join(",")),
        output,
        perf,
        top_files,
    )
    .await
}

/// Handle comprehensive analysis command
#[allow(clippy::too_many_arguments)]
#[provable_contracts_macros::contract("pmat-core.yaml", equation = "path_exists")]
pub async fn handle_analyze_comprehensive(
    project_path: PathBuf,
    file: Option<PathBuf>,
    files: Vec<PathBuf>,
    format: ComprehensiveOutputFormat,
    include_duplicates: bool,
    include_dead_code: bool,
    include_defects: bool,
    include_complexity: bool,
    include_tdg: bool,
    confidence_threshold: f32,
    min_lines: usize,
    include: Option<String>,
    exclude: Option<String>,
    output: Option<PathBuf>,
    perf: bool,
    executive_summary: bool,
) -> Result<()> {
    use super::comprehensive_analysis_handler::ComprehensiveAnalysisConfig;

    // Create config struct
    let config = ComprehensiveAnalysisConfig {
        project_path,
        file,
        files,
        format,
        include_duplicates,
        include_dead_code,
        include_defects,
        include_complexity,
        include_tdg,
        confidence_threshold,
        min_lines,
        include,
        exclude,
        output,
        perf,
        executive_summary,
        top_files: 20, // default value
    };

    // Use the new orchestrator-based comprehensive handler implementation
    super::comprehensive_analysis_handler::handle_analyze_comprehensive(config).await
}

/// Handle graph metrics analysis command
#[allow(clippy::too_many_arguments)]
#[provable_contracts_macros::contract("pmat-core.yaml", equation = "path_exists")]
pub async fn handle_analyze_graph_metrics(
    project_path: PathBuf,
    metrics: Vec<GraphMetricType>,
    pagerank_seeds: Vec<String>,
    damping_factor: f32,
    max_iterations: usize,
    convergence_threshold: f64,
    export_graphml: bool,
    format: GraphMetricsOutputFormat,
    include: Option<String>,
    exclude: Option<String>,
    output: Option<PathBuf>,
    perf: bool,
    top_k: usize,
    min_centrality: f64,
) -> Result<()> {
    // Delegate to the actual implementation
    crate::cli::analysis::graph_metrics::handle_analyze_graph_metrics(
        project_path,
        metrics,
        pagerank_seeds,
        damping_factor,
        max_iterations,
        convergence_threshold,
        export_graphml,
        format,
        include,
        exclude,
        output,
        perf,
        top_k,
        min_centrality,
    )
    .await
}

/// Handle symbol table analysis command
#[allow(clippy::too_many_arguments)]
#[provable_contracts_macros::contract("pmat-core.yaml", equation = "path_exists")]
pub async fn handle_analyze_symbol_table(
    project_path: PathBuf,
    format: SymbolTableOutputFormat,
    filter: Option<SymbolTypeFilter>,
    query: Option<String>,
    include: Vec<String>,
    exclude: Vec<String>,
    show_unreferenced: bool,
    show_references: bool,
    output: Option<PathBuf>,
    perf: bool,
) -> Result<()> {
    // Delegate to the actual implementation
    crate::cli::analysis::symbol_table::handle_analyze_symbol_table(
        project_path,
        format,
        filter,
        query,
        Some(include.join(",")),
        Some(exclude.join(",")),
        show_unreferenced,
        show_references,
        output,
        perf,
    )
    .await
}

/// Format deep-context analysis as colorized terminal text
fn format_deep_context_text(
    report: &crate::services::simple_deep_context::SimpleAnalysisReport,
    top_files: usize,
) -> String {
    use crate::cli::colors as c;
    use std::fmt::Write;

    let mut out = String::new();
    let _ = writeln!(&mut out, "{}", c::header("Deep Context Analysis Report"));
    let _ = writeln!(&mut out);

    let _ = writeln!(&mut out, "{}\n", c::subheader("Summary"));
    let _ = writeln!(
        &mut out,
        "  Files Analyzed:         {}",
        c::number(&report.file_count.to_string())
    );
    let _ = writeln!(
        &mut out,
        "  Analysis Duration:      {}",
        c::number(&format!("{:?}", report.analysis_duration))
    );
    let _ = writeln!(
        &mut out,
        "  Total Functions:        {}",
        c::number(&report.complexity_metrics.total_functions.to_string())
    );
    let _ = writeln!(
        &mut out,
        "  High Complexity Funcs:  {}",
        if report.complexity_metrics.high_complexity_count > 0 {
            format!(
                "{}{}{}",
                c::YELLOW,
                report.complexity_metrics.high_complexity_count,
                c::RESET
            )
        } else {
            c::number(&report.complexity_metrics.high_complexity_count.to_string())
        }
    );
    let _ = writeln!(
        &mut out,
        "  Average Complexity:     {}\n",
        c::number(&format!("{:.1}", report.complexity_metrics.avg_complexity))
    );

    if !report.file_complexity_details.is_empty() {
        let _ = writeln!(&mut out, "{}\n", c::subheader("Top Files by Complexity"));
        let mut sorted_files = report.file_complexity_details.clone();
        sorted_files.sort_by(|a, b| {
            b.complexity_score
                .partial_cmp(&a.complexity_score)
                .unwrap_or(std::cmp::Ordering::Equal)
        });
        let files_to_show = if top_files == 0 { 10 } else { top_files };
        for (i, file_detail) in sorted_files.iter().take(files_to_show).enumerate() {
            let filename = file_detail
                .file_path
                .file_name()
                .and_then(|n| n.to_str())
                .map_or_else(
                    || file_detail.file_path.to_string_lossy().to_string(),
                    std::string::ToString::to_string,
                );
            let _ = writeln!(
                &mut out,
                "  {}. {} - {} avg complexity ({} functions, {} high complexity)",
                c::number(&(i + 1).to_string()),
                c::path(&filename),
                c::number(&format!("{:.1}", file_detail.avg_complexity)),
                c::number(&file_detail.function_count.to_string()),
                if file_detail.high_complexity_functions > 0 {
                    format!(
                        "{}{}{}",
                        c::YELLOW,
                        file_detail.high_complexity_functions,
                        c::RESET
                    )
                } else {
                    c::number(&file_detail.high_complexity_functions.to_string())
                },
            );
        }
        let _ = writeln!(&mut out);
    }

    let _ = writeln!(&mut out, "{}\n", c::subheader("Recommendations"));
    for (i, rec) in report.recommendations.iter().enumerate() {
        let _ = writeln!(&mut out, "  {}. {rec}", c::number(&(i + 1).to_string()));
    }

    out
}

// Tests extracted to advanced_analysis_handlers_tests.rs for file health compliance (CB-040)
#[cfg(test)]
#[path = "advanced_analysis_handlers_tests.rs"]
mod tests;