pmat 3.11.0

PMAT - Zero-config AI context generation and code quality toolkit (CLI, MCP, HTTP)
#![cfg_attr(coverage_nightly, coverage(off))]
//! Unified Quality Enforcement System
//!
//! Complete implementation of the PMAT Unified Quality Enforcement Specification
//! From Pragmatic Implementation to Theoretical Maximum
//!
//! This module implements the dual-track approach:
//! - Production System: Immediate value with proven ROI
//! - Research System: Exploring theoretical limits

pub mod automation;
pub mod config;
pub mod enforcement;
pub mod enhanced_parser;
pub mod events;
pub mod foundation;
pub mod github_actions;
pub mod integration_tests;
pub mod intelligence;
pub mod metrics;
pub mod onboarding;
pub mod performance;
#[cfg(feature = "prometheus-metrics")]
pub mod prometheus_exporter;

use anyhow::Result;
use serde::{Deserialize, Serialize};
use std::time::Duration;

/// Quality enforcement spectrum from permissive to extreme
#[derive(Debug, Clone, Copy, PartialEq, Eq, PartialOrd, Ord, Serialize, Deserialize)]
pub enum QualityMode {
    /// Monitoring only, no enforcement
    Observe = 0,

    /// Suggestions and warnings
    Advise = 1,

    /// Soft limits with override capability
    Guide = 2,

    /// Hard limits with escape hatches
    Enforce = 3,

    /// Zero tolerance (research mode)
    Extreme = 4,
}

impl QualityMode {
    /// Teams progress through modes as they mature
    #[must_use]
    pub fn recommended_progression() -> Vec<(Self, Duration)> {
        vec![
            (Self::Observe, Duration::from_secs(14 * 24 * 60 * 60)),
            (Self::Advise, Duration::from_secs(30 * 24 * 60 * 60)),
            (Self::Guide, Duration::from_secs(60 * 24 * 60 * 60)),
            (Self::Enforce, Duration::from_secs(90 * 24 * 60 * 60)),
            // Extreme mode remains optional
        ]
    }
}

/// Production system with immediate value delivery
pub struct ProductionSystem {
    /// Phase 1: Real-time monitoring (Months 1-3)
    pub monitor: foundation::QualityMonitor,

    /// Phase 2: Intelligent suggestions (Months 4-6)
    pub assistant: intelligence::QualityAssistant,

    /// Phase 3: Graduated enforcement (Months 7-9)
    pub enforcer: enforcement::ErrorBudgetEnforcer,

    /// Phase 4: Safe automation (Months 10-12)
    pub automator: automation::ConservativeAutomator,
}

/// Research system exploring theoretical limits
pub struct ResearchSystem {
    /// Year 2: Property-based testing synthesis
    pub property_synthesizer: Option<Box<dyn PropertySynthesizer>>,

    /// Year 3: SMT-based verification
    pub formal_verifier: Option<Box<dyn FormalVerifier>>,

    /// Year 4: ML-driven refactoring
    pub ml_refactorer: Option<Box<dyn MLRefactorer>>,

    /// Year 5: Fully autonomous agent
    pub autonomous_agent: Option<Box<dyn AutonomousAgent>>,
}

/// Property synthesis trait (research track)
pub trait PropertySynthesizer: Send + Sync {
    /// Generate `QuickCheck` properties from function signatures
    fn synthesize_properties(&self, func: &str) -> Vec<String>;

    /// Infer invariants from execution traces
    fn infer_invariants(&self, traces: &[String]) -> Vec<String>;

    /// Generate regression properties from bugs
    fn regression_properties(&self, bug: &str) -> Vec<String>;
}

/// Formal verification trait (research track)
pub trait FormalVerifier: Send + Sync {
    /// Verify bounded complexity using Z3
    fn verify_complexity_bound(&self, ast: &str, bound: u32) -> bool;

    /// Check semantic equivalence after refactoring
    fn verify_equivalence(&self, before: &str, after: &str) -> bool;

    /// Prove absence of panic! calls
    fn verify_no_panics(&self, func: &str) -> bool;
}

/// ML-driven refactoring trait (research track)
pub trait MLRefactorer: Send + Sync {
    /// Train on successful refactorings
    fn train(&mut self, examples: &[(String, String, f64)]);

    /// Generate refactoring suggestions
    fn suggest_refactoring(&self, code: &str) -> Vec<String>;

    /// Predict refactoring success probability
    fn predict_success(&self, refactoring: &str) -> f64;
}

/// Autonomous agent trait (research track)
pub trait AutonomousAgent: Send + Sync {
    /// Plan multi-step refactoring campaigns
    fn plan_campaign(&self, codebase: &str) -> String;

    /// Execute with verification and rollback
    fn execute_campaign(&self, campaign: &str) -> Result<()>;

    /// Learn from successes and failures
    fn update_model(&mut self, outcome: &str);
}

/// The complete PMAT unified quality system
pub struct UnifiedQualitySystem {
    /// Production: What we ship in 12 months
    pub production: ProductionSystem,

    /// Research: What we explore in parallel
    pub research: ResearchSystem,

    /// Philosophy: How we approach quality
    pub philosophy: QualityPhilosophy,
}

/// Quality philosophy configuration
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct QualityPhilosophy {
    pub immediate_value: bool,
    pub human_centric: bool,
    pub gradual_adoption: bool,
    pub continuous_learning: bool,
}

impl Default for QualityPhilosophy {
    fn default() -> Self {
        Self {
            immediate_value: true,
            human_centric: true,
            gradual_adoption: true,
            continuous_learning: true,
        }
    }
}

#[cfg_attr(coverage_nightly, coverage(off))]
#[cfg(test)]
mod tests {
    use super::*;

    #[test]
    fn test_quality_mode_progression() {
        let progression = QualityMode::recommended_progression();
        assert_eq!(progression.len(), 4);
        assert_eq!(progression[0].0, QualityMode::Observe);
        assert_eq!(progression[3].0, QualityMode::Enforce);
    }

    #[test]
    fn test_quality_philosophy_default() {
        let philosophy = QualityPhilosophy::default();
        assert!(philosophy.immediate_value);
        assert!(philosophy.human_centric);
        assert!(philosophy.gradual_adoption);
        assert!(philosophy.continuous_learning);
    }
}