pmat 3.11.0

//! Analyze Complexity Example
//!
//! This example demonstrates how to use pmat's complexity analysis command
//! with the new --fail-on-violation flag for CI/CD integration.
//!
//! Run with: `cargo run --example analyze_complexity`

use anyhow::Result;
use pmat::cli::handlers::complexity_handlers::handle_analyze_complexity;
use pmat::cli::ComplexityOutputFormat;
use std::path::PathBuf;

#[tokio::main]
async fn main() -> Result<()> {
    println!("🔍 Analyze Complexity Example\n");

    // Example 1: Basic complexity analysis
    println!("Example 1: Basic complexity analysis of current directory");
    println!("{}", "=".repeat(60));

    let result = handle_analyze_complexity(
        PathBuf::from("."),
        None,   // No specific file
        vec![], // No file list
        None,   // Auto-detect toolchain
        ComplexityOutputFormat::Full,
        None,   // Output to stdout
        None,   // Default max cyclomatic (20)
        None,   // Default max cognitive (15)
        vec![], // No include patterns
        false,  // No watch mode
        10,     // Top 10 files
        false,  // Don't fail on violation
        60,     // Timeout in seconds
    )
    .await;

    match result {
        Ok(_) => println!("✅ Analysis completed successfully\n"),
        Err(e) => println!("❌ Analysis failed: {}\n", e),
    }

    // Example 2: Strict CI/CD mode with exit code
    println!("\nExample 2: CI/CD mode with strict thresholds and exit code");
    println!("{}", "=".repeat(60));

    let strict_result = handle_analyze_complexity(
        PathBuf::from("."),
        None,
        vec![],
        None,
        ComplexityOutputFormat::Json, // JSON for CI parsing
        None,
        Some(10),                          // Max cyclomatic complexity of 10
        Some(5),                           // Max cognitive complexity of 5
        vec![String::from("src/**/*.rs")], // Only analyze src files, not tests
        false,
        5,     // Top 5 files only
        false, // Don't fail on violation in example (to avoid CI failure)
        60,    // Timeout in seconds
    )
    .await;

    match strict_result {
        Ok(_) => println!("✅ Analysis completed!"),
        Err(e) => {
            println!("❌ Analysis failed: {}", e);
            return Err(e);
        }
    }

    println!("Note: In real CI, you would use --fail-on-violation to exit(1) on violations");

    // Example 3: Analyze specific files
    println!("\nExample 3: Analyzing specific files with custom thresholds");
    println!("{}", "=".repeat(60));

    let specific_files = vec![
        PathBuf::from("src/main.rs"),
        PathBuf::from("src/cli/mod.rs"),
    ];

    let file_result = handle_analyze_complexity(
        PathBuf::from("."),
        None,
        specific_files,
        None,
        ComplexityOutputFormat::Summary,
        None,
        Some(15), // Moderate threshold
        Some(10),
        vec![],
        false,
        0, // Show all files (not just top N)
        false,
        60, // Timeout in seconds
    )
    .await;

    match file_result {
        Ok(_) => println!("✅ File analysis complete!"),
        Err(e) => println!("❌ File analysis failed: {}", e),
    }

    // Example 4: GitHub Actions integration example
    println!("\nExample 4: GitHub Actions CI integration");
    println!("{}", "=".repeat(60));
    println!("In your GitHub Actions workflow, use:");
    println!("```yaml");
    println!("- name: Check code complexity");
    println!("  run: |");
    println!("    pmat analyze complexity \\");
    println!("      --max-cyclomatic 15 \\");
    println!("      --max-cognitive 10 \\");
    println!("      --fail-on-violation \\");
    println!("      --format json");
    println!("```");
    println!("This will fail the CI build if any function exceeds the thresholds.");

    // Example 5: ML-based scoring (GH-97)
    println!("\nExample 5: ML-based complexity scoring");
    println!("{}", "=".repeat(60));
    println!("Use the --ml flag for ML-based quality scoring (GH-97):");
    println!("```bash");
    println!("# Standard analysis with ML-based scoring");
    println!("pmat analyze complexity --ml");
    println!();
    println!("# Combined with thresholds");
    println!("pmat analyze complexity --ml --max-cyclomatic 15 --fail-on-violation");
    println!("```");
    println!("ML scoring uses aprender LinearRegression for evidence-based quality predictions.");

    println!("\n🎉 Complexity analysis examples completed!");
    Ok(())
}