"""
IOM Lager 8 — Riskmodell API
FastAPI endpoints för riskberäkning.
"""

from __future__ import annotations

from typing import List, Optional, Dict, Any
from fastapi import FastAPI, HTTPException
from pydantic import BaseModel, Field

from risk_model import (
    RiskScores,
    ObjectContext,
    RiskResult,
    RiskDimension,
    calculate_risk,
    batch_calculate_risk,
    register_custom_weights,
    OBJECT_TYPE_WEIGHTS,
    DEFAULT_WEIGHTS,
    RISK_DIMENSIONS,
)

app = FastAPI(
    title="IOM Risk Model API",
    description="Infrastructure Object Model — Lager 8: Riskberäkningsmotor",
    version="1.0.0",
)


# ─── Pydantic-scheman ────────────────────────────────────────────────────────

class RiskScoresInput(BaseModel):
    safety: float = Field(0.0, ge=0.0, le=10.0)
    economic: float = Field(0.0, ge=0.0, le=10.0)
    environmental: float = Field(0.0, ge=0.0, le=10.0)
    operational: float = Field(0.0, ge=0.0, le=10.0)
    legal: float = Field(0.0, ge=0.0, le=10.0)
    aesthetic: float = Field(0.0, ge=0.0, le=10.0)

    def to_domain(self) -> RiskScores:
        return RiskScores(
            safety=self.safety,
            economic=self.economic,
            environmental=self.environmental,
            operational=self.operational,
            legal=self.legal,
            aesthetic=self.aesthetic,
        )


class ObjectContextInput(BaseModel):
    goid: str = Field(..., pattern=r"^[A-Z]{3}(-[A-Z]{3})+-[0-9]+$")
    object_type_code: str
    domain: str = Field(..., pattern=r"^[A-Z]{3}$")
    condition: int = Field(3, ge=1, le=5)
    age_years: int = Field(0, ge=0)
    design_lifespan: int = Field(50, ge=1)
    function_status: str = "operational"
    risk_weights: Optional[Dict[str, float]] = None

    def to_domain(self) -> ObjectContext:
        return ObjectContext(
            goid=self.goid,
            object_type_code=self.object_type_code,
            domain=self.domain,
            condition=self.condition,
            age_years=self.age_years,
            design_lifespan=self.design_lifespan,
            function_status=self.function_status,
            risk_weights=self.risk_weights,
        )


class RiskCalculationRequest(BaseModel):
    observation_scores: RiskScoresInput
    object_context: ObjectContextInput
    fault_codes: Optional[List[str]] = Field(default=None, description="Felkoder från Lager 7")


class BatchRiskCalculationRequest(BaseModel):
    items: List[RiskCalculationRequest]


class RiskResultOutput(BaseModel):
    goid: str
    total_risk: float
    risk_level: int
    dimension_scores: Dict[str, float]
    weighted_scores: Dict[str, float]
    weights_used: Dict[str, float]
    condition: int
    age_years: int
    design_lifespan: int
    function_status: str
    degradation_factor: float
    alert_triggered: bool
    alert_level: Optional[str]

    @classmethod
    def from_domain(cls, result: RiskResult) -> "RiskResultOutput":
        return cls(
            goid=result.goid,
            total_risk=result.total_risk,
            risk_level=result.risk_level,
            dimension_scores=result.dimension_scores,
            weighted_scores=result.weighted_scores,
            weights_used=result.weights_used,
            condition=result.condition,
            age_years=result.age_years,
            design_lifespan=result.design_lifespan,
            function_status=result.function_status,
            degradation_factor=result.degradation_factor,
            alert_triggered=result.alert_triggered,
            alert_level=result.alert_level,
        )


class WeightsRegistrationRequest(BaseModel):
    object_type_code: str
    weights: Dict[str, float]


# ─── Endpoints ───────────────────────────────────────────────────────────────

@app.get("/")
async def root() -> Dict[str, str]:
    return {"service": "IOM Risk Model API", "version": "1.0.0"}


@app.get("/dimensions")
async def list_dimensions() -> Dict[str, Any]:
    """Lista alla riskdimensioner."""
    return {
        "dimensions": [
            {"id": d.value, "name_sv": _dim_name_sv(d)}
            for d in RISK_DIMENSIONS
        ]
    }


@app.get("/weights")
async def list_weights() -> Dict[str, Any]:
    """Lista alla registrerade viktmatriser."""
    return {
        "default": DEFAULT_WEIGHTS,
        "object_types": OBJECT_TYPE_WEIGHTS,
    }


@app.post("/calculate", response_model=RiskResultOutput)
async def calculate_risk_endpoint(request: RiskCalculationRequest) -> RiskResultOutput:
    """Beräkna risk för ett enskilt objekt."""
    try:
        result = calculate_risk(
            observation_scores=request.observation_scores.to_domain(),
            object_context=request.object_context.to_domain(),
            fault_codes=request.fault_codes,
        )
        return RiskResultOutput.from_domain(result)
    except Exception as exc:
        raise HTTPException(status_code=500, detail=str(exc))


@app.post("/calculate/batch", response_model=List[RiskResultOutput])
async def batch_calculate_risk_endpoint(
    request: BatchRiskCalculationRequest,
) -> List[RiskResultOutput]:
    """Batch-beräkning för flera objekt."""
    try:
        domain_items = [
            (
                item.observation_scores.to_domain(),
                item.object_context.to_domain(),
                item.fault_codes,
            )
            for item in request.items
        ]
        results = batch_calculate_risk(domain_items)
        return [RiskResultOutput.from_domain(r) for r in results]
    except Exception as exc:
        raise HTTPException(status_code=500, detail=str(exc))


@app.post("/weights/register")
async def register_weights_endpoint(request: WeightsRegistrationRequest) -> Dict[str, str]:
    """Registrera anpassade vikter för en objekttyp."""
    register_custom_weights(request.object_type_code, request.weights)
    return {"status": "registered", "object_type_code": request.object_type_code}


@app.get("/health")
async def health_check() -> Dict[str, str]:
    return {"status": "healthy"}


# ─── Hjälpfunktioner ─────────────────────────────────────────────────────────

def _dim_name_sv(dim: RiskDimension) -> str:
    names = {
        RiskDimension.SAFETY: "Säkerhet",
        RiskDimension.ECONOMIC: "Ekonomi",
        RiskDimension.ENVIRONMENTAL: "Miljö",
        RiskDimension.OPERATIONAL: "Drift",
        RiskDimension.LEGAL: "Juridik",
        RiskDimension.AESTHETIC: "Estetik",
    }
    return names.get(dim, dim.value)


# ─── Körbar direkt ───────────────────────────────────────────────────────────

if __name__ == "__main__":
    import uvicorn

    uvicorn.run(app, host="0.0.0.0", port=8008)