"""CrewAI tools for CadQuery code execution and CNC validation.

Uses BaseTool subclasses with Pydantic args_schema for structured input.
"""

from __future__ import annotations

import json
import logging
from contextvars import ContextVar
from typing import Type

from pydantic import BaseModel, Field

from agents.design_state import DesignState

logger = logging.getLogger(__name__)

try:
    from crewai.tools import BaseTool
except ImportError:
    class BaseTool:  # type: ignore[no-redef]
        name: str = ""
        description: str = ""
        args_schema: type | None = None
        def _run(self, **kwargs) -> str:
            return ""

# ── Per-request state (ContextVar — async-safe) ─────────────────────────

_last_shape_var: ContextVar[object | None] = ContextVar("last_shape", default=None)
_design_state_var: ContextVar[DesignState | None] = ContextVar("design_state", default=None)


def set_last_shape(shape):
    _last_shape_var.set(shape)

def get_last_shape():
    return _last_shape_var.get()

def set_design_state(state: DesignState):
    _design_state_var.set(state)

def get_design_state() -> DesignState | None:
    return _design_state_var.get()


# ── Tool input schemas ──────────────────────────────────────────────────

class ExecuteCadInput(BaseModel):
    code: str = Field(..., description="CadQuery Python code. Must assign result to `result` as cq.Workplane. Import cadquery as cq.")

class ValidateCadInput(BaseModel):
    check_type: str = Field(default="full", description="Validation type: 'full' for complete CNC manufacturability check.")

class GenerateGcodeInput(BaseModel):
    operations: list[str] = Field(..., description="Ordered list of operations: adaptive, pocket, profile, face, drill, surface, waterline")
    tool_diameter: float = Field(default=6.0, description="Endmill diameter in mm")
    post_processor: str = Field(default="grbl", description="G-code format: grbl, linuxcnc, fanuc")

VALID_CHECKS = {"all", "material", "dimensions", "features", "constraints", "axis"}

class QueryDesignStateInput(BaseModel):
    check: str = Field(default="all", description="What to check: 'all' for full state, or a specific field (material, dimensions, features, constraints, axis).")


# ── Tool implementations ────────────────────────────────────────────────

class ExecuteCadTool(BaseTool):
    name: str = "Execute CadQuery Code"
    description: str = "Execute CadQuery Python code and return geometry info: volume, bounding box, face count, edge count."
    args_schema: Type[BaseModel] = ExecuteCadInput

    def _run(self, code: str) -> str:
        from core.executor import execute_cadquery
        result = execute_cadquery(code)
        if result.success and result.result is not None:
            set_last_shape(result.result)
        return json.dumps(result.model_dump(by_alias=True), indent=2)


class ValidateCadTool(BaseTool):
    name: str = "Validate CNC Manufacturability"
    description: str = "Run CNC manufacturability checks on the last executed shape. Returns machinable status, axis recommendation, and issues list."
    args_schema: Type[BaseModel] = ValidateCadInput

    def _run(self, check_type: str = "full") -> str:
        from core.validator import validate_for_cnc
        shape = get_last_shape()
        if shape is None:
            return json.dumps({"success": False, "error": "No shape available. Run Execute CadQuery Code first."})
        validation = validate_for_cnc(shape)
        return json.dumps({"success": True, "validation": validation.model_dump()}, indent=2)


class GenerateGcodeTool(BaseTool):
    name: str = "Generate G-code Toolpath"
    description: str = "Generate CNC G-code toolpath from the last executed CadQuery shape."
    args_schema: Type[BaseModel] = GenerateGcodeInput

    def _run(self, operations: list[str], tool_diameter: float = 6.0, post_processor: str = "grbl") -> str:
        from core.cam import generate_gcode, ToolConfig
        shape = get_last_shape()
        if shape is None:
            return json.dumps({"success": False, "error": "No shape available. Run Execute CadQuery Code first."})
        tool_config = ToolConfig(diameter=tool_diameter, h_feed=800, v_feed=200, speed=18000)
        result = generate_gcode(
            shape=shape, operations=operations,
            tool_config=tool_config, post_processor=post_processor,
        )
        return json.dumps(result.model_dump(), indent=2)


class QueryDesignStateTool(BaseTool):
    name: str = "Query Design State"
    description: str = "Query the orchestrator for current design state and readiness. Call BEFORE saying NOT READY to check what information is already available."
    args_schema: Type[BaseModel] = QueryDesignStateInput

    def _run(self, check: str = "all") -> str:
        from agents.design_state import compute_score
        from config.settings import settings

        if check not in VALID_CHECKS:
            return json.dumps({"error": f"Invalid check: {check!r}. Valid: {sorted(VALID_CHECKS)}"})

        state = get_design_state()
        if state is None:
            return json.dumps({"error": "No design state available."})
        score = compute_score(state)
        threshold = settings.planning.threshold

        known = {}
        missing = []

        if state.part_name:
            known["part_name"] = state.part_name
        else:
            missing.append("part_name")
        if state.material:
            known["material"] = state.material
        else:
            missing.append("material")
        if state.dimensions:
            known["dimensions"] = state.dimensions
        else:
            missing.append("dimensions")
        if state.features:
            known["features"] = state.features
        else:
            missing.append("features")
        if state.constraints:
            known["constraints"] = state.constraints
        else:
            missing.append("constraints")
        if state.axis_recommendation:
            known["axis_recommendation"] = state.axis_recommendation
        else:
            missing.append("axis_recommendation")
        if state.description:
            known["description"] = state.description
        if state.decisions:
            known["recent_decisions"] = state.decisions[-5:]

        result = {
            "known": known,
            "missing": missing,
            "readiness_score": score,
            "threshold": threshold,
            "ready": score >= threshold,
            "phase": state.phase,
        }

        if check != "all" and check in known:
            return json.dumps({"field": check, "value": known[check], "ready": score >= threshold})
        if check != "all" and check in missing:
            return json.dumps({"field": check, "value": None, "missing": True, "ready": score >= threshold})

        return json.dumps(result, indent=2)