"""
NX API Routes

Provides NX model introspection capabilities for the Canvas Builder.
"""

from fastapi import APIRouter, HTTPException
from pydantic import BaseModel
from typing import Optional

router = APIRouter()


class IntrospectRequest(BaseModel):
    file_path: str


@router.post("/introspect")
async def introspect_model(request: IntrospectRequest):
    """
    Introspect an NX model file to discover expressions, solver type, and dependencies.

    Args:
        file_path: Relative path from studies root (e.g., "M1_Mirror/study_v1/model.sim")

    Returns:
        Introspection result with expressions, solver_type, dependent_files, extractors
    """
    try:
        from api.services.nx_introspection import NXIntrospector

        introspector = NXIntrospector(request.file_path)
        result = introspector.introspect()
        return result
    except Exception as e:
        raise HTTPException(status_code=500, detail=str(e))


@router.get("/expressions")
async def get_expressions(file_path: str):
    """
    Get expressions from an NX model.

    Args:
        file_path: Relative path from studies root

    Returns:
        List of expressions with names, values, units
    """
    try:
        from api.services.nx_introspection import NXIntrospector

        introspector = NXIntrospector(file_path)
        result = introspector.introspect()
        return {
            "expressions": result.get("expressions", []),
            "file_path": file_path,
            "source": "introspection",
        }
    except Exception as e:
        raise HTTPException(status_code=500, detail=str(e))


@router.get("/extractors")
async def list_extractors(solver_type: Optional[str] = None):
    """
    List available extractors, optionally filtered by solver type.

    Args:
        solver_type: Optional solver type (SOL101, SOL103, etc.)

    Returns:
        List of available extractors with their descriptions
    """
    from api.services.nx_introspection import NXIntrospector

    # Create a dummy introspector to get extractor suggestions
    class DummyIntrospector:
        def __init__(self):
            self.parent_dir = ""

    dummy = NXIntrospector.__new__(NXIntrospector)
    dummy.parent_dir = ""

    extractors = dummy._suggest_extractors(solver_type)

    return {
        "extractors": extractors,
        "solver_type": solver_type,
    }