<!-- START doctoc generated TOC please keep comment here to allow auto update -->
<!-- DON'T EDIT THIS SECTION, INSTEAD RE-RUN doctoc TO UPDATE -->
**Table of Contents**

- [Ontology-to-Project Generation Workflow](#ontology-to-project-generation-workflow)
  - [Executive Summary](#executive-summary)
  - [Architecture Overview](#architecture-overview)
  - [Core Components](#core-components)
    - [1. RDF Parser (`ggen-ai::rdf::parser`)](#1-rdf-parser-ggen-airdfparser)
    - [2. Template Metadata Store (`ggen-core::rdf::template_metadata`)](#2-template-metadata-store-ggen-corerdftemplate_metadata)
    - [3. SPARQL Executor (`ggen-domain::packs::sparql_executor`)](#3-sparql-executor-ggen-domainpackssparql_executor)
    - [4. Template Generator (`ggen-domain::packs::template_generator`)](#4-template-generator-ggen-domainpackstemplate_generator)
  - [End-to-End Workflow](#end-to-end-workflow)
    - [Phase 1: Ontology Definition](#phase-1-ontology-definition)
    - [Phase 2: RDF Loading & Parsing](#phase-2-rdf-loading--parsing)
    - [Phase 3: SPARQL Query Execution](#phase-3-sparql-query-execution)
    - [Phase 4: Code Generation](#phase-4-code-generation)
    - [Phase 5: Validation](#phase-5-validation)
  - [Testing Strategy](#testing-strategy)
    - [Unit Tests](#unit-tests)
    - [Integration Tests](#integration-tests)
    - [Performance Tests](#performance-tests)
  - [Type Mapping](#type-mapping)
    - [RDF/XSD to Rust](#rdfxsd-to-rust)
  - [Error Handling](#error-handling)
    - [Error Categories](#error-categories)
    - [Error Recovery Strategy](#error-recovery-strategy)
  - [Integration Points](#integration-points)
    - [1. Claude Code Integration](#1-claude-code-integration)
    - [2. CI/CD Integration](#2-cicd-integration)
    - [3. MCP Server Integration](#3-mcp-server-integration)
  - [Examples](#examples)
    - [Example 1: Simple CLI Generation](#example-1-simple-cli-generation)
    - [Example 2: Multi-Package Generation](#example-2-multi-package-generation)
  - [Best Practices](#best-practices)
    - [Ontology Design](#ontology-design)
    - [Code Generation](#code-generation)
    - [Performance](#performance)
  - [Future Enhancements](#future-enhancements)
    - [Planned Features](#planned-features)
    - [Research Areas](#research-areas)
  - [Troubleshooting](#troubleshooting)
    - [Common Issues](#common-issues)
    - [Debug Mode](#debug-mode)
  - [Validation Checklist](#validation-checklist)
  - [References](#references)
    - [Documentation](#documentation)
    - [Example Projects](#example-projects)
    - [Test Suites](#test-suites)

<!-- END doctoc generated TOC please keep comment here to allow auto update -->

# Ontology-to-Project Generation Workflow

**Status**: ✅ Production-Ready | **Version**: 3.3.0 | **Last Updated**: 2025-12-01

## Executive Summary

The ggen ontology-to-project generation system provides a complete pipeline for transforming RDF/OWL ontologies into production-ready Rust code projects. This document describes the end-to-end workflow, components, testing strategy, and integration points.

## Architecture Overview

```
┌─────────────────────────────────────────────────────────────────────────┐
│                     Ontology-to-Project Generation Pipeline              │
└─────────────────────────────────────────────────────────────────────────┘

┌──────────────┐     ┌──────────────┐     ┌──────────────┐     ┌──────────────┐
│   Schema     │     │   Project    │     │   SPARQL     │     │  Generated   │
│ Ontology TTL │────▶│ Ontology TTL │────▶│   Queries    │────▶│     Code     │
│              │     │              │     │              │     │              │
│ project-     │     │ sample-      │     │ Extract      │     │ Cargo.toml   │
│ schema.ttl   │     │ cli.ttl      │     │ Metadata     │     │ main.rs      │
│              │     │              │     │              │     │ cmds/*.rs    │
└──────────────┘     └──────────────┘     └──────────────┘     └──────────────┘
       │                     │                     │                     │
       │                     │                     │                     │
       └─────────────────────┴─────────────────────┴─────────────────────┘
                                       │
                                       ▼
                           ┌─────────────────────────┐
                           │   Template Metadata     │
                           │   Store (Oxigraph)      │
                           └─────────────────────────┘
```

## Core Components

### 1. RDF Parser (`ggen-ai::rdf::parser`)

**Location**: `crates/ggen-ai/src/rdf/parser.rs`

**Purpose**: Load and parse Turtle (TTL) RDF files into an Oxigraph in-memory store.

**Key Features**:
- TTL file loading with error handling
- Schema loading from predefined paths
- Triple counting and store access
- Support for custom schema paths

**Usage Example**:
```rust
use ggen_ai::rdf::parser::RdfParser;
use std::path::Path;

// Create parser and load ontologies
let mut parser = RdfParser::new()?;
parser.load_schema()?;  // Load project-schema.ttl
parser.load_ttl(Path::new("sample-cli.ttl"))?;

// Access the RDF store for SPARQL queries
let store = parser.get_store();
assert_eq!(parser.triple_count(), 150);  // Verify triples loaded
```

### 2. Template Metadata Store (`ggen-core::rdf::template_metadata`)

**Location**: `crates/ggen-core/src/rdf/template_metadata.rs`

**Purpose**: Store and query template metadata using RDF triples and SPARQL.

**Key Features**:
- Template metadata as RDF (name, version, description, variables)
- Variable definitions with types and validation
- SPARQL-based template discovery
- Category and tag-based searches
- Dependency tracking

**Data Model**:
```rust
pub struct TemplateMetadata {
    pub id: String,                          // Template URI
    pub name: String,                        // Human-readable name
    pub version: Option<String>,             // Semantic version
    pub description: Option<String>,         // Description
    pub category: Option<String>,            // Category (cli, api, web)
    pub tags: Vec<String>,                   // Tags for discovery
    pub variables: Vec<TemplateVariable>,    // Template variables
    pub dependencies: Vec<String>,           // Template dependencies
    // ... additional metadata
}

pub struct TemplateVariable {
    pub name: String,                        // Variable name
    pub var_type: String,                    // Type (string, integer, etc.)
    pub default_value: Option<String>,       // Default value
    pub description: Option<String>,         // Description
    pub required: bool,                      // Required flag
}
```

**Usage Example**:
```rust
use ggen_core::rdf::template_metadata::{TemplateMetadata, TemplateMetadataStore};

// Create metadata store
let store = TemplateMetadataStore::new()?;
store.load_schema()?;

// Create template metadata
let mut metadata = TemplateMetadata::new(
    "http://ggen.dev/template/rust-cli".to_string(),
    "Rust CLI Template".to_string(),
);
metadata.category = Some("cli".to_string());
metadata.tags = vec!["rust".to_string(), "clap".to_string()];

// Store metadata
store.store_metadata(&metadata)?;

// Query by category
let cli_templates = store.find_by_category("cli")?;
```

### 3. SPARQL Executor (`ggen-domain::packs::sparql_executor`)

**Location**: `crates/ggen-domain/src/packs/sparql_executor.rs`

**Purpose**: Execute SPARQL queries on pack metadata RDF graphs.

**Key Features**:
- SPARQL SELECT query execution
- Pack-to-RDF conversion
- Query result caching (5-minute TTL)
- JSON result format
- Cache statistics

**Usage Example**:
```rust
use ggen_domain::packs::sparql_executor::SparqlExecutor;

let mut executor = SparqlExecutor::new()?;

// Execute SPARQL query on pack
let query = r#"
    PREFIX ggen: <http://ggen.io/ontology#>
    SELECT ?name ?version WHERE {
        ?pack a ggen:Pack .
        ?pack ggen:name ?name .
        ?pack ggen:version ?version .
    }
"#;

let results = executor.execute_query(&pack, query)?;
println!("Found {} results in {:?}", results.rows.len(), results.execution_time);
```

### 4. Template Generator (`ggen-domain::packs::template_generator`)

**Location**: `crates/ggen-domain/src/packs/template_generator.rs`

**Purpose**: Generate code from pack templates using Tera templating engine.

**Key Features**:
- Template rendering with variable validation
- Post-generation hooks (npm install, cargo check, git init)
- Generation reports with file tracking
- Interactive variable prompts

**Usage Example**:
```rust
use ggen_domain::packs::template_generator::TemplateGenerator;
use std::collections::HashMap;

let mut generator = TemplateGenerator::new()?;

// Prepare variables
let mut variables = HashMap::new();
variables.insert("project_name".to_string(), "my-project".to_string());
variables.insert("author".to_string(), "John Doe".to_string());

// Generate from template
let report = generator.generate_from_template(
    &template,
    variables,
    Path::new("/output/path")
)?;

println!("Generated {} files ({} bytes)",
    report.files_created.len(),
    report.total_size
);
```

## End-to-End Workflow

### Phase 1: Ontology Definition

**Input**: RDF/OWL ontology files in Turtle format

**Example**: `examples/clap-noun-verb-demo/`
- `project-schema.ttl` - Schema/ontology definitions (classes, properties)
- `sample-cli.ttl` - Project instance data (specific CLI definition)

**Schema Ontology** (`project-schema.ttl`):
```turtle
@prefix cli: <http://ggen.dev/schema/cli#> .
@prefix cnv: <http://ggen.dev/schema/clap-noun-verb#> .

# Classes
cli:CliProject a owl:Class ;
    rdfs:label "CLI Project" .

cnv:Noun a owl:Class ;
    rdfs:label "Noun" .

cnv:Verb a owl:Class ;
    rdfs:label "Verb" .

# Properties
cli:hasName a owl:DatatypeProperty ;
    rdfs:domain cli:CliProject ;
    rdfs:range xsd:string .

cnv:nounName a owl:DatatypeProperty ;
    rdfs:domain cnv:Noun ;
    rdfs:range xsd:string .
```

**Project Ontology** (`sample-cli.ttl`):
```turtle
@prefix ex: <http://ggen.dev/projects/example-cli#> .

ex:MyCliProject a cli:CliProject ;
    cli:hasName "my-cli" ;
    cli:hasVersion "0.1.0" ;
    cli:hasDescription "A CLI tool for managing templates" ;
    cli:hasNoun ex:TemplateNoun .

ex:TemplateNoun a cnv:Noun ;
    cnv:nounName "template" ;
    cnv:nounDescription "Manage project templates" ;
    cnv:hasVerb ex:TemplateGenerate .

ex:TemplateGenerate a cnv:Verb ;
    cnv:verbName "generate" ;
    cnv:verbAlias "gen" ;
    cnv:verbDescription "Generate a new project from template" .
```

### Phase 2: RDF Loading & Parsing

**Component**: `ggen-ai::rdf::parser::RdfParser`

**Process**:
1. Create RDF parser instance
2. Load schema ontology (`project-schema.ttl`)
3. Load project ontology (`sample-cli.ttl`)
4. Verify triples loaded (triple count > 0)

**Code**:
```rust
let mut parser = RdfParser::new()?;
parser.load_ttl("examples/clap-noun-verb-demo/project-schema.ttl".as_ref())?;
parser.load_ttl("examples/clap-noun-verb-demo/sample-cli.ttl".as_ref())?;

println!("Loaded {} triples", parser.triple_count());
```

### Phase 3: SPARQL Query Execution

**Component**: Oxigraph Store with SPARQL

**Queries**:

**Query 1: Extract Project Metadata**
```sparql
PREFIX cli: <http://ggen.dev/schema/cli#>
SELECT ?name ?version ?description WHERE {
    ?project a cli:CliProject ;
        cli:hasName ?name ;
        cli:hasVersion ?version ;
        cli:hasDescription ?description .
}
```

**Query 2: Extract Nouns**
```sparql
PREFIX cnv: <http://ggen.dev/schema/clap-noun-verb#>
SELECT ?noun ?name ?desc WHERE {
    ?noun a cnv:Noun ;
        cnv:nounName ?name ;
        cnv:nounDescription ?desc .
}
```

**Query 3: Extract Verbs for Noun**
```sparql
PREFIX cnv: <http://ggen.dev/schema/clap-noun-verb#>
SELECT ?verb ?name ?alias ?desc WHERE {
    <http://ggen.dev/projects/example-cli#TemplateNoun> cnv:hasVerb ?verb .
    ?verb cnv:verbName ?name ;
          cnv:verbDescription ?desc .
    OPTIONAL { ?verb cnv:verbAlias ?alias }
}
```

### Phase 4: Code Generation

**Component**: Code generators (Rust, TypeScript, Python)

**Templates Used**:
- `templates/cli/scaffold/Cargo.toml.tmpl` - Cargo manifest
- `templates/cli/scaffold/main.rs.tmpl` - Main entry point
- `templates/cli/noun/mod.rs.tmpl` - Noun module
- `templates/cli/verb/*.rs.tmpl` - Verb command handlers

**Generated Files**:
```
output/
├── Cargo.toml           # Generated from project metadata
├── src/
│   ├── main.rs          # Generated CLI entry point
│   └── cmds/
│       ├── mod.rs       # Module exports
│       ├── template.rs  # Template noun commands
│       └── project.rs   # Project noun commands
└── tests/
    └── integration.rs   # Generated integration tests
```

**Generation Code**:
```rust
// Extract metadata from SPARQL results
let project_name = query_result.bindings.first()
    .and_then(|b| b.get("?name"))
    .map(|s| s.trim_matches('"'))
    .unwrap_or("unknown");

// Generate Cargo.toml
let cargo_toml = format!(r#"
[package]
name = "{}"
version = "{}"
description = "{}"

[dependencies]
clap = {{ version = "4.0", features = ["derive"] }}
"#, project_name, version, description);

fs::write("output/Cargo.toml", cargo_toml)?;

// Generate main.rs with CLI structure
generate_main_rs(&nouns, &verbs)?;

// Generate command modules
for noun in &nouns {
    generate_noun_module(noun)?;
}
```

### Phase 5: Validation

**Component**: Integration tests

**Test Coverage**:
- ✅ Ontology loading succeeds
- ✅ SPARQL queries return expected results
- ✅ Code generation produces valid Rust
- ✅ Generated Cargo.toml has correct metadata
- ✅ Generated main.rs compiles
- ✅ Command structure matches ontology

**Test Example**:
```rust
#[test]
fn test_end_to_end_ontology_to_project() -> Result<()> {
    let temp_dir = TempDir::new()?;

    // Load ontologies
    let mut parser = RdfParser::new()?;
    parser.load_ttl("examples/clap-noun-verb-demo/project-schema.ttl".as_ref())?;
    parser.load_ttl("examples/clap-noun-verb-demo/sample-cli.ttl".as_ref())?;

    // Extract metadata via SPARQL
    let metadata = extract_project_metadata(&parser)?;
    assert_eq!(metadata.name, "my-cli");
    assert_eq!(metadata.version, "0.1.0");

    // Generate project
    let report = generate_project(&metadata, &temp_dir)?;
    assert!(report.success);

    // Verify files
    assert!(temp_dir.join("Cargo.toml").exists());
    assert!(temp_dir.join("src/main.rs").exists());

    Ok(())
}
```

## Testing Strategy

### Unit Tests

**Location**: Individual module test suites

**Coverage**:
- RDF parser: TTL loading, triple counting, store access
- Template metadata: Metadata creation, RDF serialization, SPARQL queries
- SPARQL executor: Query execution, caching, result conversion
- Template generator: Variable validation, file generation, hooks

### Integration Tests

**Location**: `tests/chicago_tdd/ontology_driven_e2e.rs`

**Test Cases**:
1. `test_ontology_to_code_generation_workflow` - Full end-to-end workflow
2. `test_ontology_change_cascade_to_all_artifacts` - Ontology changes cascade to code
3. `test_sparql_results_as_template_variables` - SPARQL results drive template variables
4. `test_comprehensive_rdf_type_mapping_validation` - All XSD type mappings
5. `test_invalid_rdf_syntax_error_handling` - Error handling
6. `test_optional_property_declarations` - Missing optional properties
7. `test_complex_inheritance_hierarchies` - Multi-level inheritance
8. `test_multi_namespace_ontology_handling` - Multiple namespaces
9. `test_empty_ontology_graceful_handling` - Empty ontologies
10. `test_duplicate_property_names_across_classes` - Name collisions
11. `test_large_ontology_generation_performance` - Performance with 100+ classes

**Chicago TDD Principles Applied**:
- ✅ Real RDF graphs with Oxigraph (no mocks)
- ✅ Real SPARQL queries against loaded data
- ✅ Real file I/O and code generation
- ✅ Behavior verification (output correctness, not implementation)
- ✅ State-based testing (verify generated files, not internal state)

### Performance Tests

**SLO Targets**:
- RDF parsing: ≤ 5s for 1,000+ triples
- SPARQL queries: ≤ 100ms for simple queries, ≤ 1s for complex joins
- Code generation: ≤ 10s for 100-class ontology
- Memory usage: ≤ 100MB for typical projects

**Benchmarks**:
```rust
#[test]
fn test_large_ontology_generation_performance() -> Result<()> {
    // Generate ontology with 100 classes, 500 properties
    let start = Instant::now();
    let result = generate_rust_models_from_ontology(&ontology_path, &output_path, "large");
    let duration = start.elapsed();

    assert!(duration.as_secs() < 10, "Exceeded 10s SLO: {:?}", duration);
    Ok(())
}
```

## Type Mapping

### RDF/XSD to Rust

| RDF/XSD Type       | Rust Type           | Notes                          |
|--------------------|---------------------|--------------------------------|
| `xsd:string`       | `String`            | UTF-8 string                   |
| `xsd:normalizedString` | `String`        | Normalized whitespace          |
| `xsd:integer`      | `i32`               | 32-bit signed integer          |
| `xsd:long`         | `i64`               | 64-bit signed integer          |
| `xsd:decimal`      | `f64`               | Decimal number                 |
| `xsd:double`       | `f64`               | Double-precision float         |
| `xsd:float`        | `f32`               | Single-precision float         |
| `xsd:boolean`      | `bool`              | Boolean value                  |
| `xsd:date`         | `String`            | ISO 8601 date (use `chrono`)   |
| `xsd:dateTime`     | `String`            | ISO 8601 datetime (use `chrono`) |
| `xsd:time`         | `String`            | ISO 8601 time (use `chrono`)   |
| `xsd:hexBinary`    | `String`            | Base16-encoded (use `Vec<u8>`) |
| `xsd:base64Binary` | `String`            | Base64-encoded (use `Vec<u8>`) |
| `xsd:anyURI`       | `String`            | URI/URL string                 |

## Error Handling

### Error Categories

1. **RDF Parsing Errors**
   - Invalid TTL syntax
   - File not found
   - Malformed triples

2. **SPARQL Query Errors**
   - Invalid SPARQL syntax
   - Query execution failures
   - Type conversion errors

3. **Code Generation Errors**
   - Template rendering failures
   - Variable validation errors
   - File system errors

### Error Recovery Strategy

**Level 1 - Graceful Degradation**:
- Missing optional properties → Use defaults
- Empty ontology → Generate minimal skeleton
- Unknown RDF types → Default to `String`

**Level 2 - User Notification**:
- Invalid TTL syntax → Clear error with line number
- Required variables missing → Prompt user
- SPARQL query errors → Show query and error

**Level 3 - Fail Fast**:
- File system errors (permissions)
- Out of memory
- Corrupted ontology store

## Integration Points

### 1. Claude Code Integration

**Hook Points**:
- Pre-generation: Validate ontology schema
- Post-generation: Run cargo check, cargo test
- File watch: Regenerate on ontology changes

### 2. CI/CD Integration

**GitHub Actions Workflow**:
```yaml
name: Ontology-Driven Generation

on:
  push:
    paths:
      - 'ontologies/**/*.ttl'
      - 'templates/**/*.tmpl'

jobs:
  generate:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v3
      - name: Generate code from ontology
        run: cargo make generate-from-ontology
      - name: Verify generated code compiles
        run: cargo make check
      - name: Run generated tests
        run: cargo make test
```

### 3. MCP Server Integration

**Claude Flow MCP**:
- `mcp__claude-flow__swarm_init` - Coordinate generation swarm
- `mcp__claude-flow__agent_spawn` - Spawn ontology analyzer agents
- `mcp__claude-flow__task_orchestrate` - Orchestrate multi-file generation

## Examples

### Example 1: Simple CLI Generation

**Input**: `examples/clap-noun-verb-demo/sample-cli.ttl`

**Output**:
```
my-cli/
├── Cargo.toml
├── src/
│   ├── main.rs
│   └── cmds/
│       ├── mod.rs
│       ├── template.rs  # template generate, template list, template show
│       └── project.rs   # project init, project build
└── tests/
    └── integration.rs
```

**Usage**:
```bash
$ my-cli template generate rust-api --output ./my-api
✓ Template generated successfully

$ my-cli template list
Available templates:
  - rust-api: REST API template with Axum
  - rust-cli: CLI template with Clap
```

### Example 2: Multi-Package Generation

**Input**: Ontology with multiple packages

**Output**:
```
workspace/
├── Cargo.toml  # Workspace manifest
├── core/
│   ├── Cargo.toml
│   └── src/
│       └── lib.rs
├── api/
│   ├── Cargo.toml
│   └── src/
│       └── main.rs
└── cli/
    ├── Cargo.toml
    └── src/
        └── main.rs
```

## Best Practices

### Ontology Design

1. **Use standard vocabularies**: RDFS, OWL, Dublin Core
2. **Namespace organization**: Group related classes and properties
3. **Documentation**: Use `rdfs:comment` for descriptions
4. **Versioning**: Include version information in ontology URI

### Code Generation

1. **Idempotency**: Regeneration produces identical output for same input
2. **Determinism**: Seed template rendering for reproducible output
3. **Validation**: Validate generated code compiles
4. **Testing**: Generate tests alongside code

### Performance

1. **Cache SPARQL results**: 5-minute TTL for expensive queries
2. **Batch operations**: Load all ontologies before generation
3. **Stream large results**: Don't load entire result set in memory
4. **Profile queries**: Use `EXPLAIN` for optimization

## Future Enhancements

### Planned Features

1. **Multi-language support**: TypeScript, Python code generation
2. **Incremental generation**: Only regenerate changed files
3. **Template inheritance**: Templates extend other templates
4. **Custom type mappers**: User-defined XSD → language type mappings
5. **SHACL validation**: Validate ontology against SHACL shapes
6. **Visual ontology editor**: Web-based ontology creation
7. **AI-assisted ontology design**: LLM suggestions for ontology structure

### Research Areas

1. **Ontology versioning**: Semantic versioning for ontologies
2. **Migration tools**: Upgrade code when ontology changes
3. **Diffing**: Visualize ontology changes
4. **Testing generation**: Property-based tests from ontology constraints

## Troubleshooting

### Common Issues

**Issue**: "Failed to load RDF: Parse error at line X"
- **Cause**: Invalid Turtle syntax
- **Fix**: Validate TTL with online validator or `rapper` command
- **Example**: `rapper -i turtle -o ntriples ontology.ttl`

**Issue**: "SPARQL query returned 0 results"
- **Cause**: Incorrect namespace prefixes or missing triples
- **Fix**: Verify prefixes match ontology, check triple count
- **Example**: `parser.triple_count()` should return > 0

**Issue**: "Variable 'X' not found in template"
- **Cause**: SPARQL query missing variable or template expects non-existent variable
- **Fix**: Add variable to SPARQL query or update template
- **Example**: Ensure `SELECT ?name` matches `{{ name }}` in template

### Debug Mode

Enable verbose logging:
```bash
RUST_LOG=ggen=debug cargo run -- generate-from-ontology
```

## Validation Checklist

Before deploying generated code:

- [ ] All Andon signals **GREEN** (no compiler errors, test failures, linting errors)
- [ ] `cargo make check` passes
- [ ] `cargo make test` passes (all tests including Chicago TDD integration tests)
- [ ] `cargo make lint` passes (no clippy warnings)
- [ ] Generated code has 80%+ test coverage
- [ ] All required variables provided
- [ ] Ontology validated against schema
- [ ] SPARQL queries return expected results
- [ ] Generated files exist and are non-empty
- [ ] Code compiles without warnings
- [ ] Integration tests pass

## References

### Documentation
- [RDF Primer](https://www.w3.org/TR/rdf11-primer/)
- [SPARQL 1.1 Query Language](https://www.w3.org/TR/sparql11-query/)
- [Turtle (Terse RDF Triple Language)](https://www.w3.org/TR/turtle/)
- [Oxigraph Documentation](https://oxigraph.org/)
- [Tera Templating](https://tera.netlify.app/)

### Example Projects
- `examples/clap-noun-verb-demo/` - Complete CLI generation example
- `examples/comprehensive-rust-showcase/` - Multi-package generation
- `marketplace/packages/cli-application-template/` - CLI template pack

### Test Suites
- `tests/chicago_tdd/ontology_driven_e2e.rs` - 11 comprehensive integration tests
- `crates/ggen-ai/src/rdf/parser.rs` - RDF parser unit tests
- `crates/ggen-core/src/rdf/template_metadata.rs` - Template metadata tests

---

**Last Validated**: 2025-12-01
**Test Coverage**: 11 integration tests, 100% core component coverage
**Status**: ✅ All Andon Signals GREEN (cargo check, cargo test, cargo lint)
**Production Ready**: Yes
