ringkernel_procint/
lib.rs

1//! # RingKernel Process Intelligence
2//!
3//! GPU-accelerated process mining and intelligence with real-time visualization.
4//!
5//! This crate provides tools for analyzing business processes through:
6//!
7//! - **DFG Construction**: Build Directly-Follows Graphs from event streams
8//! - **Partial Order Mining**: Discover concurrent activity patterns
9//! - **Pattern Detection**: Identify bottlenecks, loops, rework, and anomalies
10//! - **Conformance Checking**: Validate traces against reference models
11//!
12//! ## Architecture
13//!
14//! ```text
15//! ┌─────────────────┐     ┌──────────────────┐     ┌────────────────┐
16//! │   Data Fabric   │────▶│   GPU Kernels    │────▶│  Visualization │
17//! │ (Event Stream)  │     │ (CUDA/WGSL)      │     │  (egui Canvas) │
18//! └─────────────────┘     └──────────────────┘     └────────────────┘
19//!         │                        │                       │
20//!         ▼                        ▼                       ▼
21//! ┌─────────────────┐     ┌──────────────────┐     ┌────────────────┐
22//! │ Sector Templates│     │ DFG Construction │     │ Force Layout   │
23//! │ Event Generator │     │ Pattern Detection│     │ Token Animation│
24//! │ Anomaly Inject  │     │ Conformance Check│     │ Timeline View  │
25//! └─────────────────┘     └──────────────────┘     └────────────────┘
26//! ```
27//!
28//! ## Quick Start
29//!
30//! ```rust,ignore
31//! use ringkernel_procint::prelude::*;
32//!
33//! // Create event generator for healthcare sector
34//! let config = GeneratorConfig::default()
35//!     .with_sector(SectorTemplate::Healthcare)
36//!     .with_events_per_second(10_000);
37//! let mut generator = ProcessEventGenerator::new(config);
38//!
39//! // Generate events and build DFG
40//! let events = generator.generate_batch(1000);
41//! let dfg = DFGBuilder::new().build_from_events(&events);
42//!
43//! // Detect patterns
44//! let patterns = PatternDetector::new().detect(&dfg);
45//! ```
46//!
47//! ## GPU Kernel Types
48//!
49//! 1. **DFG Construction** - Batch kernel for edge frequency counting
50//! 2. **Partial Order Derivation** - Stencil kernel for precedence matrix
51//! 3. **Pattern Detection** - Batch kernel for bottleneck/loop/rework detection
52//! 4. **Conformance Checking** - Batch kernel for fitness scoring
53
54#![warn(missing_docs)]
55#![warn(clippy::all)]
56
57pub mod actors;
58pub mod analytics;
59pub mod cuda;
60pub mod fabric;
61pub mod gui;
62pub mod kernels;
63pub mod models;
64
65/// Prelude for convenient imports.
66pub mod prelude {
67    // Core types
68    pub use crate::models::{
69        Activity, ActivityId, AlignmentMove, AlignmentType, ComplianceLevel, ConformanceResult,
70        ConformanceStatus, DFGGraph, EventType, GpuDFGEdge, GpuDFGGraph, GpuDFGNode,
71        GpuObjectEvent, GpuPartialOrderTrace, GpuPatternMatch, HybridTimestamp, PatternSeverity,
72        PatternType, ProcessModel, ProcessTrace, TraceId,
73    };
74
75    // Data fabric
76    pub use crate::fabric::{
77        AnomalyConfig, GeneratorConfig, GeneratorStats, PipelineConfig, ProcessEventGenerator,
78        ProcessingPipeline, SectorTemplate,
79    };
80
81    // Analytics
82    pub use crate::analytics::{
83        AnalyticsEngine, DFGMetrics, DFGMetricsCalculator, KPITracker, PatternAggregator,
84        ProcessKPIs,
85    };
86
87    // Actors
88    pub use crate::actors::{GpuActorRuntime, PipelineCoordinator, PipelineStats, RuntimeConfig};
89
90    // Kernels
91    pub use crate::kernels::{
92        ConformanceKernel, DfgConstructionKernel, PartialOrderKernel, PatternDetectionKernel,
93    };
94}
95
96/// Version information.
97pub const VERSION: &str = env!("CARGO_PKG_VERSION");
98
99/// Crate name.
100pub const NAME: &str = env!("CARGO_PKG_NAME");
ringkernel_procint/lib.rs

ringkernel_procint/
lib.rs
