gitstack 5.3.0

//! Bus factor, technical debt, and project health analysis

use chrono::DateTime;
use std::collections::HashMap;

use crate::event::GitEvent;

use super::{
    BusFactorAnalysis, BusFactorEntry, BusFactorRisk, CommitQualityAnalysis, ContributorInfo,
    FileHeatmap, TechDebtAnalysis, TechDebtEntry, TechDebtLevel,
};

const DAYS_PER_YEAR: f64 = 365.0;

// Top contributors display limit
const TOP_CONTRIBUTORS: usize = 5;

// Bus factor threshold (cumulative contribution %)
const BUS_FACTOR_CUMULATIVE_THRESHOLD: f64 = 50.0;

// Tech debt scoring weights
const TECH_DEBT_CHURN_WEIGHT: f64 = 0.5;
const TECH_DEBT_COMPLEXITY_WEIGHT: f64 = 0.4;
const TECH_DEBT_AGE_WEIGHT: f64 = 0.1;
const TECH_DEBT_HIGH: f64 = 0.6;
const TECH_DEBT_MEDIUM: f64 = 0.3;

// Large commit threshold
const LARGE_COMMIT_CHANGES: usize = 50;

// Health component weights
const WEIGHT_QUALITY: f64 = 0.20;
const WEIGHT_TEST: f64 = 0.15;
const WEIGHT_BUS_FACTOR: f64 = 0.20;
const WEIGHT_TECH_DEBT: f64 = 0.20;
const WEIGHT_CHURN: f64 = 0.15;
const WEIGHT_CADENCE: f64 = 0.10;

// Test score weights
const TEST_MSG_WEIGHT: f64 = 0.3;
const TEST_FILE_WEIGHT: f64 = 0.7;
const LOW_TEST_THRESHOLD: f64 = 0.1;
const RECENT_COMMITS_WINDOW: usize = 30;

// Bus factor alert thresholds
const BUS_FACTOR_CRITICAL: f64 = 0.3;
const BUS_FACTOR_WARNING: f64 = 0.5;
const SINGLE_AUTHOR_CONCENTRATION: u32 = 70;

// Churn thresholds
const HIGH_CHURN_MULTIPLIER: f64 = 2.0;
const CHURN_WARNING_THRESHOLD: f64 = 0.5;

// Cadence analysis
const MIN_PERIOD_FOR_CADENCE: u64 = 14;
const CV_STABLE: f64 = 0.5;
const CV_UNSTABLE: f64 = 2.0;
const CV_RANGE: f64 = 1.5; // 2.0 - 0.5
const CV_WEIGHT: f64 = 0.8;
const CADENCE_SCORE_UNSTABLE: f64 = 0.2;

// Confidence thresholds
const HIGH_CONF_COMMITS: usize = 100;
const HIGH_CONF_AUTHORS: usize = 3;
const HIGH_CONF_DAYS: u64 = 30;
const MEDIUM_CONF_COMMITS: usize = 30;
const MEDIUM_CONF_DAYS: u64 = 7;

/// Alert severity
#[derive(Debug, Clone, Copy, PartialEq, Eq, PartialOrd, Ord)]
pub enum AlertSeverity {
    /// Information (blue)
    Info,
    /// Warning (yellow)
    Warning,
    /// Critical (red)
    Critical,
}

impl AlertSeverity {
    /// Get color name
    pub fn color(&self) -> &'static str {
        match self {
            AlertSeverity::Info => "blue",
            AlertSeverity::Warning => "yellow",
            AlertSeverity::Critical => "red",
        }
    }

    /// Get icon
    pub fn icon(&self) -> &'static str {
        match self {
            AlertSeverity::Info => "ℹ",
            AlertSeverity::Warning => "⚠",
            AlertSeverity::Critical => "🔴",
        }
    }
}

/// Health alert kind
#[derive(Debug, Clone, Copy, PartialEq, Eq)]
pub enum HealthAlertKind {
    /// Low commit quality
    LowCommitQuality,
    /// Low test coverage
    LowTestCoverage,
    /// High bus factor risk
    HighBusFactorRisk,
    /// Moderate bus factor risk
    ModerateBusFactorRisk,
    /// High technical debt
    HighTechDebt,
    /// High code churn
    HighCodeChurn,
    /// Other
    Other,
}

/// Health alert
#[derive(Debug, Clone)]
pub struct HealthAlert {
    /// Kind
    pub kind: HealthAlertKind,
    /// Severity
    pub severity: AlertSeverity,
    /// Alert message (for English fallback)
    pub message: String,
    /// Detailed description
    pub details: Option<String>,
}

impl HealthAlert {
    /// Create a new alert
    pub fn new(kind: HealthAlertKind, severity: AlertSeverity, message: impl Into<String>) -> Self {
        Self {
            kind,
            severity,
            message: message.into(),
            details: None,
        }
    }

    /// Create an alert with details
    pub fn with_details(
        kind: HealthAlertKind,
        severity: AlertSeverity,
        message: impl Into<String>,
        details: impl Into<String>,
    ) -> Self {
        Self {
            kind,
            severity,
            message: message.into(),
            details: Some(details.into()),
        }
    }
}

/// Determine whether a file is a test file
///
/// Based on language-specific test file patterns:
/// - `_test.rs`, `_test.go` (Rust, Go)
/// - `.test.ts`, `.test.js`, `.spec.ts`, `.spec.js` (JavaScript/TypeScript)
/// - `test_*.py` (Python)
/// - Files within `tests/`, `__tests__/`, `spec/` directories
pub fn is_test_file(path: &str) -> bool {
    let lower = path.to_lowercase();

    // File name patterns
    lower.ends_with("_test.rs")
        || lower.ends_with("_test.go")
        || lower.ends_with(".test.ts")
        || lower.ends_with(".test.tsx")
        || lower.ends_with(".test.js")
        || lower.ends_with(".test.jsx")
        || lower.ends_with(".spec.ts")
        || lower.ends_with(".spec.tsx")
        || lower.ends_with(".spec.js")
        || lower.ends_with(".spec.jsx")
        // Python: test_*.py
        || lower
            .rsplit('/')
            .next()
            .map(|f| f.starts_with("test_") && f.ends_with(".py"))
            .unwrap_or(false)
        // Inside test directories
        || lower.contains("/tests/")
        || lower.contains("/__tests__/")
        || lower.contains("/spec/")
        || lower.starts_with("tests/")
        || lower.starts_with("__tests__/")
        || lower.starts_with("spec/")
}

/// Confidence level
#[derive(Debug, Clone, Copy, PartialEq, Eq)]
pub enum ConfidenceLevel {
    /// High confidence: 100+ commits, 3+ authors, and 30+ days
    High,
    /// Medium confidence: 30+ commits and 7+ days
    Medium,
    /// Low confidence: everything else
    Low,
}

impl ConfidenceLevel {
    /// Display string
    pub fn as_str(&self) -> &'static str {
        match self {
            ConfidenceLevel::High => "High",
            ConfidenceLevel::Medium => "Medium",
            ConfidenceLevel::Low => "Low",
        }
    }
}

/// Health analysis confidence
#[derive(Debug, Clone)]
pub struct HealthConfidence {
    /// Confidence level
    pub level: ConfidenceLevel,
    /// Reason
    pub reason: String,
}

/// Individual score component
#[derive(Debug, Clone, Default)]
pub struct HealthScoreComponent {
    /// Score (0.0-1.0)
    pub score: f64,
    /// Weight (proportion in score calculation)
    pub weight: f64,
    /// Description
    pub description: String,
}

/// Project health analysis result
#[derive(Debug, Clone)]
pub struct ProjectHealth {
    /// Overall score (0-100)
    pub overall_score: u8,
    /// Quality score component (20%)
    pub quality: HealthScoreComponent,
    /// Test health component (15%)
    pub test_health: HealthScoreComponent,
    /// Bus factor risk component (20%)
    pub bus_factor_risk: HealthScoreComponent,
    /// Technical debt component (20%)
    pub tech_debt: HealthScoreComponent,
    /// Code churn component (15%)
    pub code_churn: HealthScoreComponent,
    /// Commit cadence component (10%)
    pub commit_cadence: HealthScoreComponent,
    /// Alert list (sorted by severity descending)
    pub alerts: Vec<HealthAlert>,
    /// Number of commits analyzed
    pub total_commits: usize,
    /// Number of authors analyzed
    pub total_authors: usize,
    /// Analysis period (days)
    pub analysis_period_days: u64,
    /// Confidence
    pub confidence: HealthConfidence,
}

impl Default for ProjectHealth {
    fn default() -> Self {
        Self {
            overall_score: 50,
            quality: HealthScoreComponent {
                score: 0.5,
                weight: WEIGHT_QUALITY,
                description: "Commit quality average".to_string(),
            },
            test_health: HealthScoreComponent {
                score: 0.5,
                weight: WEIGHT_TEST,
                description: "Test commit ratio".to_string(),
            },
            bus_factor_risk: HealthScoreComponent {
                score: 0.5,
                weight: WEIGHT_BUS_FACTOR,
                description: "Knowledge concentration (lower is better)".to_string(),
            },
            tech_debt: HealthScoreComponent {
                score: 0.5,
                weight: WEIGHT_TECH_DEBT,
                description: "Technical debt (lower is better)".to_string(),
            },
            code_churn: HealthScoreComponent {
                score: 0.5,
                weight: WEIGHT_CHURN,
                description: "Code churn rate".to_string(),
            },
            commit_cadence: HealthScoreComponent {
                score: 0.5,
                weight: WEIGHT_CADENCE,
                description: "Commit cadence stability".to_string(),
            },
            alerts: Vec::new(),
            total_commits: 0,
            total_authors: 0,
            analysis_period_days: 0,
            confidence: HealthConfidence {
                level: ConfidenceLevel::Low,
                reason: "No data".to_string(),
            },
        }
    }
}

impl ProjectHealth {
    /// Get overall score level string (6 levels)
    pub fn level(&self) -> &'static str {
        match self.overall_score {
            90..=100 => "Excellent",
            75..=89 => "Good",
            60..=74 => "Fair",
            45..=59 => "Needs Work",
            30..=44 => "Poor",
            _ => "Critical",
        }
    }

    /// Get score color (6 levels)
    pub fn score_color(&self) -> &'static str {
        match self.overall_score {
            90..=100 => "green",
            75..=89 => "teal",
            60..=74 => "sapphire",
            45..=59 => "yellow",
            30..=44 => "peach",
            _ => "red",
        }
    }

    /// Generate score bar (10 levels)
    pub fn score_bar(&self) -> String {
        let filled = (self.overall_score.min(100) / 10) as usize;
        let empty = 10usize.saturating_sub(filled);
        format!("{}{}", "█".repeat(filled), "░".repeat(empty))
    }
}

/// Calculate bus factor
///
/// Bus factor = number of people with knowledge of a code area
/// Measures the risk of "if this person leaves, the project stalls"
///
/// Calculation method:
/// - For each path, count the number of people contributing 50% or more
/// - If only 1 person has 50%+, bus_factor = 1 (high risk)
pub fn calculate_bus_factor(
    events: &[&GitEvent],
    get_files: impl Fn(&str) -> Option<Vec<String>>,
    min_commits: usize,
) -> BusFactorAnalysis {
    // Aggregate author commit counts per directory
    let mut dir_author_counts: HashMap<String, HashMap<String, usize>> = HashMap::new();

    for event in events {
        if let Some(files) = get_files(&event.short_hash) {
            for file in &files {
                // Extract top-level directory
                let parts: Vec<&str> = file.split('/').collect();
                if parts.len() > 1 {
                    let top_dir = parts[0].to_string();
                    let counts = dir_author_counts.entry(top_dir).or_default();
                    *counts.entry(event.author.clone()).or_insert(0) += 1;
                }
                // Also aggregate second-level directories
                if parts.len() > 2 {
                    let two_level_dir = format!("{}/{}", parts[0], parts[1]);
                    let counts = dir_author_counts.entry(two_level_dir).or_default();
                    *counts.entry(event.author.clone()).or_insert(0) += 1;
                }
            }
        }
    }

    let mut entries = Vec::new();
    let mut high_risk_count = 0;
    let mut medium_risk_count = 0;

    for (path, author_counts) in &dir_author_counts {
        let total_commits: usize = author_counts.values().sum();

        // Skip if below minimum commit count
        if total_commits < min_commits {
            continue;
        }

        // Create contributor info (sorted by commit count)
        let mut contributors: Vec<ContributorInfo> = author_counts
            .iter()
            .map(|(name, &count)| ContributorInfo {
                name: name.clone(),
                commit_count: count,
                contribution_percent: (count as f64 / total_commits as f64) * 100.0,
            })
            .collect();
        contributors.sort_by(|a, b| b.commit_count.cmp(&a.commit_count));

        // Bus factor calculation: number of people needed to exceed 50% cumulative contribution
        let mut cumulative = 0.0;
        let mut bus_factor = 0;
        for contributor in &contributors {
            cumulative += contributor.contribution_percent;
            bus_factor += 1;
            if cumulative >= BUS_FACTOR_CUMULATIVE_THRESHOLD {
                break;
            }
        }

        let risk_level = match bus_factor {
            1 => {
                high_risk_count += 1;
                BusFactorRisk::High
            }
            2 => {
                medium_risk_count += 1;
                BusFactorRisk::Medium
            }
            _ => BusFactorRisk::Low,
        };

        entries.push(BusFactorEntry {
            path: path.clone(),
            bus_factor,
            contributors: contributors.into_iter().take(TOP_CONTRIBUTORS).collect(),
            total_commits,
            risk_level,
            is_directory: true,
        });
    }

    // Sort by risk level (high->low), then by commit count within same risk level
    entries.sort_by(|a, b| match (&a.risk_level, &b.risk_level) {
        (BusFactorRisk::High, BusFactorRisk::High)
        | (BusFactorRisk::Medium, BusFactorRisk::Medium)
        | (BusFactorRisk::Low, BusFactorRisk::Low) => b.total_commits.cmp(&a.total_commits),
        (BusFactorRisk::High, _) => std::cmp::Ordering::Less,
        (_, BusFactorRisk::High) => std::cmp::Ordering::Greater,
        (BusFactorRisk::Medium, BusFactorRisk::Low) => std::cmp::Ordering::Less,
        (BusFactorRisk::Low, BusFactorRisk::Medium) => std::cmp::Ordering::Greater,
    });

    BusFactorAnalysis {
        total_paths_analyzed: entries.len(),
        entries,
        high_risk_count,
        medium_risk_count,
    }
}

/// Calculate technical debt score
///
/// Technical debt = change frequency x complexity x age
///
/// Formula:
/// - Churn score: (change_count / max_change_count)
/// - Complexity score: (lines_changed / max_lines_changed)
/// - Age score: (days_elapsed / 365) capped at 1.0
pub fn calculate_tech_debt(
    events: &[&GitEvent],
    get_files: impl Fn(&str) -> Option<Vec<String>>,
    min_commits: usize,
) -> TechDebtAnalysis {
    use chrono::Local;

    // Aggregate statistics per file
    let mut file_stats: HashMap<String, (usize, usize, DateTime<Local>)> = HashMap::new();

    for event in events {
        if let Some(files) = get_files(&event.short_hash) {
            let changes_per_file = (event.files_added + event.files_deleted) / files.len().max(1);
            for file in files {
                let entry = file_stats.entry(file).or_insert((0, 0, event.timestamp));
                entry.0 += 1; // change_count
                entry.1 += changes_per_file; // total_changes
                                             // Keep the most recent change timestamp
                if event.timestamp > entry.2 {
                    entry.2 = event.timestamp;
                }
            }
        }
    }

    // Calculate maximum values (for normalization)
    let max_changes = file_stats.values().map(|(c, _, _)| *c).max().unwrap_or(1);
    let max_lines = file_stats.values().map(|(_, l, _)| *l).max().unwrap_or(1);
    let now = Local::now();

    let mut entries = Vec::new();
    let mut total_score = 0.0;
    let mut high_debt_count = 0;

    for (path, (change_count, total_changes, last_modified)) in &file_stats {
        if *change_count < min_commits {
            continue;
        }

        // Calculate each score
        let churn_score = *change_count as f64 / max_changes as f64;
        let complexity_score = *total_changes as f64 / max_lines as f64;

        // Age score: days since last change
        let days_since_change = (now - *last_modified).num_days().max(0) as f64;
        let age_score = (days_since_change / DAYS_PER_YEAR).min(1.0);

        // Overall score = churn(50%) + complexity(40%) + age(10%)
        // However, age becomes a risk when "old and frequently changed",
        // so the age score is evaluated in combination with churn
        let score = churn_score * TECH_DEBT_CHURN_WEIGHT
            + complexity_score * TECH_DEBT_COMPLEXITY_WEIGHT
            + (churn_score * age_score) * TECH_DEBT_AGE_WEIGHT;

        let debt_level = if score >= TECH_DEBT_HIGH {
            high_debt_count += 1;
            TechDebtLevel::High
        } else if score >= TECH_DEBT_MEDIUM {
            TechDebtLevel::Medium
        } else {
            TechDebtLevel::Low
        };

        entries.push(TechDebtEntry {
            path: path.clone(),
            score,
            churn_score,
            complexity_score,
            age_score,
            change_count: *change_count,
            total_changes: *total_changes,
            debt_level,
        });

        total_score += score;
    }

    // Sort by score descending
    entries.sort_by(|a, b| {
        b.score
            .partial_cmp(&a.score)
            .unwrap_or(std::cmp::Ordering::Equal)
    });

    let total_files_analyzed = entries.len();
    let avg_score = if total_files_analyzed > 0 {
        total_score / total_files_analyzed as f64
    } else {
        0.0
    };

    TechDebtAnalysis {
        entries,
        avg_score,
        high_debt_count,
        total_files_analyzed,
    }
}

/// Calculate project health
///
/// # Arguments
/// * `events` - Git events to analyze
/// * `files_fn` - Function to get file list from hash
/// * `quality_analysis` - Pre-computed Quality analysis result (optional)
/// * `bus_factor` - Pre-computed bus factor analysis result (optional)
/// * `tech_debt` - Pre-computed technical debt analysis result (optional)
/// * `heatmap` - File heatmap (for Code Churn calculation)
pub fn calculate_project_health<F>(
    events: &[&GitEvent],
    files_fn: F,
    quality_analysis: Option<&CommitQualityAnalysis>,
    bus_factor: Option<&BusFactorAnalysis>,
    tech_debt_analysis: Option<&TechDebtAnalysis>,
    heatmap: &FileHeatmap,
) -> ProjectHealth
where
    F: Fn(&str) -> Option<Vec<String>>,
{
    if events.is_empty() {
        return ProjectHealth::default();
    }

    let total_commits = events.len();
    let mut alerts = Vec::new();

    // Collect authors
    let authors: std::collections::HashSet<&str> =
        events.iter().map(|e| e.author.as_str()).collect();
    let total_authors = authors.len();

    // Calculate analysis period
    let analysis_period_days = if events.len() >= 2 {
        let newest = events.first().map(|e| e.timestamp);
        let oldest = events.last().map(|e| e.timestamp);
        if let (Some(n), Some(o)) = (newest, oldest) {
            let duration = n.signed_duration_since(o);
            duration.num_days().unsigned_abs()
        } else {
            0
        }
    } else {
        0
    };

    // 1. Quality score (20%)
    let quality_score = if let Some(qa) = quality_analysis {
        qa.avg_score
    } else {
        // Simple calculation: ratio of Conventional Commits prefixes
        let conventional_count = events
            .iter()
            .filter(|e| {
                let msg = e.message.to_lowercase();
                msg.starts_with("feat:")
                    || msg.starts_with("fix:")
                    || msg.starts_with("docs:")
                    || msg.starts_with("style:")
                    || msg.starts_with("refactor:")
                    || msg.starts_with("test:")
                    || msg.starts_with("chore:")
                    || msg.starts_with("perf:")
            })
            .count();
        conventional_count as f64 / total_commits as f64
    };

    let conventional_pct = (quality_score * 100.0).round() as u32;

    let quality = HealthScoreComponent {
        score: quality_score,
        weight: WEIGHT_QUALITY,
        description: format!(
            "Commit quality: {:.0}% conventional commits",
            quality_score * 100.0
        ),
    };

    if quality_score < BUS_FACTOR_CRITICAL {
        alerts.push(HealthAlert::with_details(
            HealthAlertKind::LowCommitQuality,
            AlertSeverity::Warning,
            "Low commit quality",
            format!(
                "Conventional Commit format is {}% of all commits",
                conventional_pct
            ),
        ));
    }

    // 2. Test health (15%) -- file pattern based + test: prefix only
    let test_msg_count = events
        .iter()
        .filter(|e| e.message.to_lowercase().starts_with("test:"))
        .count();
    let test_file_commit_count = events
        .iter()
        .filter(|e| {
            if let Some(files) = files_fn(&e.short_hash) {
                files.iter().any(|f| is_test_file(f))
            } else {
                false
            }
        })
        .count();
    // Combine (prioritize file-based detection)
    let test_score = ((test_msg_count as f64 * TEST_MSG_WEIGHT
        + test_file_commit_count as f64 * TEST_FILE_WEIGHT)
        / total_commits as f64)
        .min(1.0);

    let test_health = HealthScoreComponent {
        score: test_score,
        weight: WEIGHT_TEST,
        description: format!(
            "Test coverage: {:.0}% test-related commits",
            test_score * 100.0
        ),
    };

    if test_score < LOW_TEST_THRESHOLD {
        let recent_count = events.len().min(RECENT_COMMITS_WINDOW);
        let recent_test_files = events
            .iter()
            .take(recent_count)
            .filter(|e| {
                if let Some(files) = files_fn(&e.short_hash) {
                    files.iter().any(|f| is_test_file(f))
                } else {
                    false
                }
            })
            .count();
        alerts.push(HealthAlert::with_details(
            HealthAlertKind::LowTestCoverage,
            AlertSeverity::Info,
            "Low test coverage in commits",
            format!(
                "In the last {} commits, only {} include test file changes",
                recent_count, recent_test_files
            ),
        ));
    }

    // 3. Bus factor risk (20%) -- Shannon Entropy
    let bus_factor_score;
    let mut top_author_info = String::new();
    if let Some(bf) = bus_factor {
        // Lower the score the more paths have high bus factor risk
        let low_risk_count = bf
            .total_paths_analyzed
            .saturating_sub(bf.high_risk_count + bf.medium_risk_count);
        let risk_ratio = bf.high_risk_count as f64
            / (bf.high_risk_count + bf.medium_risk_count + low_risk_count).max(1) as f64;
        bus_factor_score = 1.0 - risk_ratio;
    } else {
        // Knowledge distribution via Shannon Entropy
        let mut author_commits: HashMap<&str, usize> = HashMap::new();
        for e in events.iter() {
            *author_commits.entry(e.author.as_str()).or_insert(0) += 1;
        }
        let total = total_commits as f64;
        let entropy: f64 = author_commits
            .values()
            .map(|&count| {
                let p = count as f64 / total;
                if p > 0.0 {
                    -p * p.ln()
                } else {
                    0.0
                }
            })
            .sum();
        let max_entropy = (total_authors as f64).ln();
        bus_factor_score = if max_entropy > 0.0 {
            entropy / max_entropy
        } else {
            0.0
        };

        // Record top author info (for alerts)
        if let Some((&top_author, &top_count)) = author_commits.iter().max_by_key(|(_, &c)| c) {
            let pct = (top_count as f64 / total * 100.0).round() as u32;
            if pct > SINGLE_AUTHOR_CONCENTRATION {
                top_author_info = format!(
                    "{}% of commits are by a single author ({})",
                    pct, top_author
                );
            }
        }
    }

    let bus_factor_risk = if total_authors <= 1 {
        HealthScoreComponent {
            score: 0.0,
            weight: 0.0,
            description: "Skipped: solo development".to_string(),
        }
    } else {
        HealthScoreComponent {
            score: bus_factor_score,
            weight: WEIGHT_BUS_FACTOR,
            description: format!(
                "Knowledge distribution: {:.0}% (higher is better)",
                bus_factor_score * 100.0
            ),
        }
    };

    if total_authors > 1 {
        if bus_factor_score < BUS_FACTOR_CRITICAL {
            let details = if top_author_info.is_empty() {
                "Knowledge is concentrated in few contributors. Consider knowledge sharing."
                    .to_string()
            } else {
                top_author_info.clone()
            };
            alerts.push(HealthAlert::with_details(
                HealthAlertKind::HighBusFactorRisk,
                AlertSeverity::Critical,
                "High bus factor risk",
                details,
            ));
        } else if bus_factor_score < BUS_FACTOR_WARNING {
            let details = if top_author_info.is_empty() {
                "Consider improving knowledge distribution across team members.".to_string()
            } else {
                top_author_info
            };
            alerts.push(HealthAlert::with_details(
                HealthAlertKind::ModerateBusFactorRisk,
                AlertSeverity::Warning,
                "Moderate bus factor risk",
                details,
            ));
        }
    }

    // 4. Technical debt (20%) - lower is better
    let tech_debt_score = if let Some(td) = tech_debt_analysis {
        1.0 - td.avg_score.min(1.0)
    } else {
        // Simple calculation: look at the ratio of large changes
        let large_commits = events
            .iter()
            .filter(|e| e.files_added + e.files_deleted > LARGE_COMMIT_CHANGES)
            .count();
        let large_ratio = large_commits as f64 / total_commits as f64;
        1.0 - large_ratio.min(1.0)
    };

    let tech_debt = HealthScoreComponent {
        score: tech_debt_score,
        weight: WEIGHT_TECH_DEBT,
        description: format!(
            "Technical debt: {:.0}% clean (higher is better)",
            tech_debt_score * 100.0
        ),
    };

    if tech_debt_score < TECH_DEBT_MEDIUM {
        alerts.push(HealthAlert::with_details(
            HealthAlertKind::HighTechDebt,
            AlertSeverity::Warning,
            "High technical debt indicated",
            "Many large commits suggest accumulated technical debt.",
        ));
    }

    // 5. Code Churn (15%) -- calculate churn rate from FileHeatmap
    let churn_score = if heatmap.total_files > 0 {
        // High frequency change files: 2x or more the average change count
        let avg_changes = heatmap.files.iter().map(|f| f.change_count).sum::<usize>() as f64
            / heatmap.total_files as f64;
        let high_churn_count = heatmap
            .files
            .iter()
            .filter(|f| f.change_count as f64 > avg_changes * HIGH_CHURN_MULTIPLIER)
            .count();
        let churn_ratio = high_churn_count as f64 / heatmap.total_files as f64;
        (1.0 - churn_ratio).max(0.0)
    } else {
        0.5 // Default when no data available
    };

    let code_churn = HealthScoreComponent {
        score: churn_score,
        weight: WEIGHT_CHURN,
        description: format!(
            "Code churn: {:.0}% stable (higher is better)",
            churn_score * 100.0
        ),
    };

    if churn_score < CHURN_WARNING_THRESHOLD {
        // Include the file with the most churn in the alert
        if let Some(top_file) = heatmap.files.first() {
            alerts.push(HealthAlert::with_details(
                HealthAlertKind::HighCodeChurn,
                AlertSeverity::Warning,
                "High code churn detected",
                format!(
                    "{} has been changed {} times in the analysis period",
                    top_file.path, top_file.change_count
                ),
            ));
        }
    }

    // 6. Commit Cadence (10%) -- stability of weekly commit frequency
    let cadence_score = if analysis_period_days >= MIN_PERIOD_FOR_CADENCE {
        // Aggregate commit counts per week
        let mut weekly_counts: HashMap<i64, usize> = HashMap::new();
        if let Some(oldest_ts) = events.last().map(|e| e.timestamp) {
            for e in events.iter() {
                let days_since = e
                    .timestamp
                    .signed_duration_since(oldest_ts)
                    .num_days()
                    .unsigned_abs();
                let week = (days_since / 7) as i64; // days per week
                *weekly_counts.entry(week).or_insert(0) += 1;
            }
        }

        if weekly_counts.len() >= 2 {
            let values: Vec<f64> = weekly_counts.values().map(|&v| v as f64).collect();
            let mean = values.iter().sum::<f64>() / values.len() as f64;
            if mean > 0.0 {
                let variance =
                    values.iter().map(|v| (v - mean).powi(2)).sum::<f64>() / values.len() as f64;
                let std_dev = variance.sqrt();
                let cv = std_dev / mean; // Coefficient of variation

                // CV < 0.5: stable (high score), CV > 2.0: unstable (low score)
                if cv < CV_STABLE {
                    1.0
                } else if cv > CV_UNSTABLE {
                    CADENCE_SCORE_UNSTABLE
                } else {
                    // Linear interpolation: CV_STABLE->1.0, CV_UNSTABLE->0.2
                    1.0 - (cv - CV_STABLE) / CV_RANGE * CV_WEIGHT
                }
            } else {
                0.5
            }
        } else {
            0.5
        }
    } else {
        0.5 // Analysis period less than 2 weeks
    };

    let commit_cadence = HealthScoreComponent {
        score: cadence_score,
        weight: WEIGHT_CADENCE,
        description: format!(
            "Commit cadence: {:.0}% stable (higher is better)",
            cadence_score * 100.0
        ),
    };

    // Calculate overall score (normalized by total weight; bus_factor weight=0 for solo development)
    let total_weight = quality.weight
        + test_health.weight
        + bus_factor_risk.weight
        + tech_debt.weight
        + code_churn.weight
        + commit_cadence.weight;
    let raw = quality.score * quality.weight
        + test_health.score * test_health.weight
        + bus_factor_risk.score * bus_factor_risk.weight
        + tech_debt.score * tech_debt.weight
        + code_churn.score * code_churn.weight
        + commit_cadence.score * commit_cadence.weight;
    let overall = if total_weight > 0.0 {
        raw / total_weight
    } else {
        0.0
    };
    let overall_score = (overall * 100.0).round().min(100.0) as u8;

    // Calculate confidence
    let confidence = if total_commits >= HIGH_CONF_COMMITS
        && total_authors >= HIGH_CONF_AUTHORS
        && analysis_period_days >= HIGH_CONF_DAYS
    {
        HealthConfidence {
            level: ConfidenceLevel::High,
            reason: format!(
                "{} commits, {} authors, {} days",
                total_commits, total_authors, analysis_period_days
            ),
        }
    } else if total_commits >= MEDIUM_CONF_COMMITS && analysis_period_days >= MEDIUM_CONF_DAYS {
        HealthConfidence {
            level: ConfidenceLevel::Medium,
            reason: format!(
                "{} commits over {} days",
                total_commits, analysis_period_days
            ),
        }
    } else {
        HealthConfidence {
            level: ConfidenceLevel::Low,
            reason: format!(
                "Only {} commits, {} authors, {} days — results may not be representative",
                total_commits, total_authors, analysis_period_days
            ),
        }
    };

    // Sort alerts by severity
    alerts.sort_by(|a, b| b.severity.cmp(&a.severity));

    ProjectHealth {
        overall_score,
        quality,
        test_health,
        bus_factor_risk,
        tech_debt,
        code_churn,
        commit_cadence,
        alerts,
        total_commits,
        total_authors,
        analysis_period_days,
        confidence,
    }
}

#[cfg(test)]
#[allow(clippy::useless_vec)]
mod tests {
    use super::*;
    use crate::stats::AggregationLevel;
    use chrono::Local;

    fn create_test_event(author: &str, insertions: usize, deletions: usize) -> GitEvent {
        GitEvent::commit(
            "abc1234".to_string(),
            "test commit".to_string(),
            author.to_string(),
            Local::now(),
            insertions,
            deletions,
        )
    }

    fn create_test_event_for_quality(
        hash: &str,
        message: &str,
        insertions: usize,
        deletions: usize,
    ) -> GitEvent {
        GitEvent::commit(
            hash.to_string(),
            message.to_string(),
            "author".to_string(),
            Local::now(),
            insertions,
            deletions,
        )
    }

    // ===== Project Health Tests =====

    #[test]
    fn test_project_health_default() {
        let health = ProjectHealth::default();
        assert_eq!(health.overall_score, 50);
        assert_eq!(health.level(), "Needs Work");
    }

    #[test]
    fn test_project_health_level() {
        let health = ProjectHealth {
            overall_score: 95,
            ..Default::default()
        };
        assert_eq!(health.level(), "Excellent");

        let health = ProjectHealth {
            overall_score: 80,
            ..Default::default()
        };
        assert_eq!(health.level(), "Good");

        let health = ProjectHealth {
            overall_score: 65,
            ..Default::default()
        };
        assert_eq!(health.level(), "Fair");

        let health = ProjectHealth {
            overall_score: 50,
            ..Default::default()
        };
        assert_eq!(health.level(), "Needs Work");

        let health = ProjectHealth {
            overall_score: 35,
            ..Default::default()
        };
        assert_eq!(health.level(), "Poor");

        let health = ProjectHealth {
            overall_score: 20,
            ..Default::default()
        };
        assert_eq!(health.level(), "Critical");
    }

    #[test]
    fn test_project_health_score_bar() {
        let health = ProjectHealth {
            overall_score: 100,
            ..Default::default()
        };
        assert_eq!(health.score_bar(), "██████████");

        let health = ProjectHealth {
            overall_score: 50,
            ..Default::default()
        };
        assert_eq!(health.score_bar(), "█████░░░░░");

        let health = ProjectHealth {
            overall_score: 0,
            ..Default::default()
        };
        assert_eq!(health.score_bar(), "░░░░░░░░░░");
    }

    #[test]
    fn test_alert_severity_ordering() {
        assert!(AlertSeverity::Critical > AlertSeverity::Warning);
        assert!(AlertSeverity::Warning > AlertSeverity::Info);
    }

    #[test]
    fn test_calculate_project_health_empty() {
        let events: Vec<&GitEvent> = vec![];
        let empty_heatmap = FileHeatmap {
            files: vec![],
            total_files: 0,
            aggregation_level: AggregationLevel::Files,
        };
        let health = calculate_project_health(&events, |_| None, None, None, None, &empty_heatmap);
        assert_eq!(health.overall_score, 50);
        assert_eq!(health.total_commits, 0);
    }

    #[test]
    fn test_calculate_project_health_with_events() {
        let events = vec![
            create_test_event_for_quality("hash1", "feat: add new feature", 50, 10),
            create_test_event_for_quality("hash2", "fix: bug fix", 20, 5),
            create_test_event_for_quality("hash3", "test: add tests", 30, 0),
        ];
        let refs: Vec<&GitEvent> = events.iter().collect();
        let empty_heatmap = FileHeatmap {
            files: vec![],
            total_files: 0,
            aggregation_level: AggregationLevel::Files,
        };

        let health = calculate_project_health(&refs, |_| None, None, None, None, &empty_heatmap);

        assert_eq!(health.total_commits, 3);
        assert!(health.overall_score > 0);
        // Quality score should be high since they are Conventional commits
        assert!(health.quality.score > 0.5);
    }

    #[test]
    fn test_calculate_project_health_alerts() {
        // Single author only (solo development) -> bus factor alerts are skipped
        let mut events = Vec::new();
        for i in 0..10 {
            let mut event = create_test_event("single_author", 10, 5);
            event.short_hash = format!("hash{}", i);
            events.push(event);
        }
        let refs: Vec<&GitEvent> = events.iter().collect();
        let empty_heatmap = FileHeatmap {
            files: vec![],
            total_files: 0,
            aggregation_level: AggregationLevel::Files,
        };

        let health = calculate_project_health(&refs, |_| None, None, None, None, &empty_heatmap);

        // Bus factor alerts are not generated for solo development
        let has_bus_factor_alert = health
            .alerts
            .iter()
            .any(|a| a.message.contains("bus factor"));
        assert!(!has_bus_factor_alert);
        // bus_factor_risk weight should be 0.0
        assert_eq!(health.bus_factor_risk.weight, 0.0);

        // 2 or more authors -> bus factor alert should be triggered
        let mut multi_events = Vec::new();
        for i in 0..10 {
            let mut event = create_test_event("author_a", 10, 5);
            event.short_hash = format!("hash_a{}", i);
            multi_events.push(event);
        }
        // Add just 1 commit from another author (knowledge concentration -> alert triggered)
        let mut event_b = create_test_event("author_b", 1, 0);
        event_b.short_hash = "hash_b0".to_string();
        multi_events.push(event_b);
        let multi_refs: Vec<&GitEvent> = multi_events.iter().collect();

        let health2 =
            calculate_project_health(&multi_refs, |_| None, None, None, None, &empty_heatmap);
        let has_bus_factor_alert2 = health2
            .alerts
            .iter()
            .any(|a| a.message.contains("bus factor"));
        assert!(has_bus_factor_alert2);
        assert_eq!(health2.bus_factor_risk.weight, 0.20);
    }

    #[test]
    fn test_is_test_file() {
        assert!(is_test_file("src/foo_test.rs"));
        assert!(is_test_file("src/foo_test.go"));
        assert!(is_test_file("src/foo.test.ts"));
        assert!(is_test_file("src/foo.test.js"));
        assert!(is_test_file("src/foo.spec.ts"));
        assert!(is_test_file("src/foo.spec.js"));
        assert!(is_test_file("tests/test_main.py"));
        assert!(is_test_file("__tests__/foo.js"));
        assert!(is_test_file("spec/helper.rb"));

        // Verify no false positives
        assert!(!is_test_file("src/contest.rs"));
        assert!(!is_test_file("src/latest.ts"));
        assert!(!is_test_file("src/main.rs"));
        assert!(!is_test_file("protest.js"));
    }

    #[test]
    fn test_confidence_levels() {
        let events: Vec<GitEvent> = (0..100)
            .map(|i| {
                let mut e = create_test_event(
                    if i % 3 == 0 {
                        "Alice"
                    } else if i % 3 == 1 {
                        "Bob"
                    } else {
                        "Charlie"
                    },
                    10,
                    5,
                );
                e.short_hash = format!("hash{}", i);
                e.timestamp = Local::now() - chrono::Duration::days(i as i64);
                e
            })
            .collect();
        let refs: Vec<&GitEvent> = events.iter().collect();
        let empty_heatmap = FileHeatmap {
            files: vec![],
            total_files: 0,
            aggregation_level: AggregationLevel::Files,
        };
        let health = calculate_project_health(&refs, |_| None, None, None, None, &empty_heatmap);
        assert_eq!(health.confidence.level, ConfidenceLevel::High);
    }
}