# import typer
# import yaml
# import json
# from pathlib import Path
# from typing import Optional, List, Dict, Callable
# from pydantic import BaseModel, Field
# from rdflib import Graph
# from owlready2 import get_ontology
# from sungen.utils.chat_tools import chatbot
# from sungen.utils.file_tools import write_file, read_file
# from sungen.plugins.ash.cmds.data_integrator import generate_code, generate_tests, generate_docs
# from sungen.plugins.ash.cmds.api_generator import generate_api
# from sungen.plugins.ash.cmds.governance_manager import apply_governance_policies
# from sungen.plugins.ash.cmds.deployment_manager import deploy_resource
# from sungen.plugins.ash.ash_models import AshResource, Attribute, Relationship, Action
#
# app = typer.Typer()
#
# def load_ontology(file_path: Path, ontology_type: str) -> dict:
#     """Load ontology based on specified type."""
#     if ontology_type == "linkml":
#         return yaml.safe_load(file_path.read_text())
#     elif ontology_type == "owl":
#         onto = get_ontology(file_path.as_uri()).load()
#         return {cls.name: {
#             "attributes": [prop.name for prop in cls.get_properties()],
#             "relationships": [rel.name for rel in cls.get_relationships()],
#             "actions": []  # OWL doesn't have a direct equivalent for actions
#         } for cls in onto.classes()}
#     elif ontology_type == "rdf":
#         g = Graph()
#         g.parse(file_path)
#         # Implement RDF parsing logic here
#         return {}
#     else:
#         raise ValueError(f"Unsupported ontology type '{ontology_type}'")
#
# def generate_resources_from_ontology(
#     ontology_path: Path,
#     ontology_type: str,
#     llm_function: Callable = chatbot
# ) -> Dict[str, AshResource]:
#     """
#     Generate Ash resources from an ontology file using LLM-powered analysis.
#
#     Args:
#         ontology_path (Path): Path to the ontology file.
#         ontology_type (str): Type of the ontology (e.g., "linkml", "owl", "rdf").
#         llm_function (Callable): Function to use for LLM interactions (default is chatbot).
#
#     Returns:
#         Dict[str, AshResource]: A dictionary of generated Ash resources.
#     """
#     ontology_data = load_ontology(ontology_path, ontology_type)
#
#     prompt = f"""
#     Analyze the following ontology and generate Ash resources as JSON:
#     {ontology_data}
#
#     For each class in the ontology, create an Ash resource with:
#     1. Appropriate attributes (including types and any constraints)
#     2. Relationships between resources
#     3. Basic CRUD actions
#
#     Provide the output as a JSON object where each key is a resource name,
#     and the value is an object containing 'attributes', 'relationships', and 'actions'.
#     """
#
#     llm_response = llm_function(prompt, context="Ontology to Ash resource conversion")
#     resources_data = json.loads(llm_response)
#
#     resources = {}
#     for name, data in resources_data.items():
#         resources[name] = AshResource(
#             name=name,
#             module=f"MyApp.Resources.{name}",
#             attributes=[Attribute(**attr) for attr in data['attributes']],
#             relationships=[Relationship(**rel) for rel in data['relationships']],
#             actions=[Action(**action) for action in data['actions']],
#             data_layer={"name": "Ash.DataLayer.Ets"}  # Default data layer, can be customized
#         )
#
#     return resources
#
# @app.command()
# def generate_resource(
#     ontology: Path = typer.Option(..., exists=True, dir_okay=False, help="Path to the ontology file"),
#     ontology_type: str = typer.Option("linkml", help="Type of ontology (linkml, owl, rdf)"),
#     output_dir: Path = typer.Option("./lib", help="Output directory for generated code"),
# ):
#     """Generate Ash resources from an ontology file."""
#     typer.echo(f"Generating resources from ontology '{ontology}' with type '{ontology_type}'")
#
#     resources = generate_resources_from_ontology(ontology, ontology_type)
#
#     for resource_name, resource in resources.items():
#         # Generate Elixir code for the resource
#         code = generate_code(resource)
#         write_file(output_dir / f"{resource_name.lower()}.ex", code)
#
#         # Generate tests
#         tests = generate_tests(resource_name)
#         write_file(output_dir.parent / "test" / f"{resource_name.lower()}_test.exs", tests)
#
#         # Generate docs
#         docs = generate_docs(resource_name)
#         write_file(output_dir.parent / "docs" / f"{resource_name.lower()}.md", docs)
#
#         typer.echo(f"Resource '{resource_name}' generated successfully.")
#
# @app.command()
# def process_natural_language(
#     input_text: str = typer.Option(..., prompt=True, help="Natural language description of the resource to generate"),
#     output_dir: Path = typer.Option("./lib", help="Output directory for generated code"),
# ):
#     """Process natural language input to generate resources."""
#     typer.echo("Interpreting natural language input...")
#
#     # Use chatbot to interpret natural language and generate Ash resource definition
#     prompt = f"Generate an Ash resource definition based on this description: {input_text}"
#     resource_definition = chatbot(prompt)
#
#     # Parse the chatbot response and generate the resource
#     try:
#         resource_model = OntologyResource.parse_raw(resource_definition)
#         generate_resource(
#             ontology=Path("temp_ontology.yaml"),  # We're not using a real ontology file here
#             resource=resource_model.name,
#             ontology_type="linkml",
#             output_dir=output_dir
#         )
#     except Exception as e:
#         typer.echo(f"Error processing natural language input: {str(e)}")
#
# @app.command()
# def analyze_ontology_impact(
#     ontology: Path = typer.Option(..., exists=True, dir_okay=False, help="Path to the ontology file"),
#     ontology_type: str = typer.Option("linkml", help="Type of ontology (linkml, owl, rdf)"),
# ):
#     """Analyze the potential impact of the ontology on the existing system."""
#     ontology_data = load_ontology(ontology, ontology_type)
#     prompt = f"""
#     Analyze the potential impact of implementing this ontology in an Ash-based system:
#     {ontology_data}
#
#     Consider:
#     1. Potential conflicts with existing resources
#     2. Performance implications
#     3. Data migration challenges
#     4. Integration with existing APIs and services
#     5. Long-term maintainability and extensibility
#     """
#     impact_analysis = chatbot(prompt, context="Ontology impact analysis")
#     typer.echo("Ontology Impact Analysis:")
#     typer.echo(impact_analysis)
#
# @app.command()
# def suggest_ontology_improvements(
#     ontology: Path = typer.Option(..., exists=True, dir_okay=False, help="Path to the ontology file"),
#     ontology_type: str = typer.Option("linkml", help="Type of ontology (linkml, owl, rdf)"),
# ):
#     """Suggest improvements for the given ontology."""
#     ontology_data = load_ontology(ontology, ontology_type)
#     prompt = f"""
#     Suggest improvements for the following ontology:
#     {ontology_data}
#
#     Consider:
#     1. Structural improvements
#     2. Naming conventions
#     3. Relationship optimizations
#     4. Potential missing concepts or relationships
#     5. Alignment with best practices in ontology design
#     """
#     suggestions = chatbot(prompt, context="Ontology improvement suggestions")
#     typer.echo("Ontology Improvement Suggestions:")
#     typer.echo(suggestions)
#
# @app.command()
# def list_resources(
#     ontology: Path = typer.Option(..., exists=True, dir_okay=False, help="Path to the ontology file"),
#     ontology_type: str = typer.Option("linkml", help="Type of ontology (linkml, owl, rdf)"),
# ):
#     """List all resources defined in the ontology."""
#     ontology_data = load_ontology(ontology, ontology_type)
#     resources = ontology_data.get('resources', {}).keys()
#     typer.echo("Resources defined in the ontology:")
#     for resource in resources:
#         typer.echo(f"- {resource}")
#
# @app.command()
# def generate_api_for_resource(
#     resource: str = typer.Option(..., help="Name of the resource to generate API for"),
#     output_dir: Path = typer.Option("./lib/api", help="Output directory for generated API code"),
# ):
#     """Generate API endpoints for a specific resource."""
#     api_code = generate_api(resource)
#     write_file(output_dir / f"{resource.lower()}_api.ex", api_code)
#     typer.echo(f"API generated for resource '{resource}'")
#
# @app.command()
# def apply_governance(
#     resource: str = typer.Option(..., help="Name of the resource to apply governance policies"),
#     policy_file: Path = typer.Option(..., exists=True, dir_okay=False, help="Path to the governance policy file"),
# ):
#     """Apply governance policies to a resource."""
#     policies = yaml.safe_load(read_file(policy_file))
#     apply_governance_policies(resource, policies)
#     typer.echo(f"Governance policies applied to resource '{resource}'")
#
# @app.command()
# def deploy_resource_to_environment(
#     resource: str = typer.Option(..., help="Name of the resource to deploy"),
#     environment: str = typer.Option(..., help="Target environment (e.g., dev, staging, production)"),
# ):
#     """Deploy a resource to a specific environment."""
#     deploy_resource(resource, environment)
#     typer.echo(f"Resource '{resource}' deployed to {environment} environment")
#
# @app.command()
# def generate_full_stack(
#     ontology: Path = typer.Option(..., exists=True, dir_okay=False, help="Path to the ontology file"),
#     resource: str = typer.Option(..., help="Name of the resource to generate"),
#     ontology_type: str = typer.Option("linkml", help="Type of ontology (linkml, owl, rdf)"),
#     output_dir: Path = typer.Option("./lib", help="Output directory for generated code"),
#     environment: str = typer.Option("dev", help="Target environment for deployment"),
# ):
#     """Generate a full stack for a resource: code, tests, docs, API, and deploy."""
#     generate_resource(ontology, resource, ontology_type, output_dir)
#     generate_api_for_resource(resource, output_dir / "api")
#     apply_governance(resource, output_dir / "governance" / "default_policies.yaml")
#     deploy_resource_to_environment(resource, environment)
#     typer.echo(f"Full stack generated and deployed for resource '{resource}'")
#
# @app.command()
# def validate_ontology(
#     ontology: Path = typer.Option(..., exists=True, dir_okay=False, help="Path to the ontology file"),
#     ontology_type: str = typer.Option("linkml", help="Type of ontology (linkml, owl, rdf)"),
# ):
#     """Validate the structure and consistency of the ontology."""
#     try:
#         ontology_data = load_ontology(ontology, ontology_type)
#         # Implement validation logic here
#         typer.echo("Ontology validation successful")
#     except Exception as e:
#         typer.echo(f"Ontology validation failed: {str(e)}")
#
# if __name__ == "__main__":
#     app()
