orquestrador/app/services/handlers.py

from typing import Optional, List, Dict, Any
from datetime import datetime
import hashlib
import re

import httpx
from fastapi import HTTPException

from app.core.settings import settings
from app.services.fakerapi_client import FakerApiClient


def normalize_cpf(value: str) -> str:
    return re.sub(r"\D", "", value or "")


def _parse_float(value: Any, default: float = 0.0) -> float:
    if value is None:
        return default
    if isinstance(value, (int, float)):
        return float(value)
    text = str(value).replace("R$", "").replace(" ", "")
    text = text.replace(".", "").replace(",", ".") if "," in text else text
    try:
        return float(text)
    except Exception:
        return default


def _stable_int(seed_text: str) -> int:
    digest = hashlib.sha256(seed_text.encode("utf-8")).hexdigest()
    return int(digest[:16], 16)


def _cpf_from_any(value: Any) -> str:
    as_int = _stable_int(str(value)) % (10**11)
    return str(as_int).zfill(11)


async def _fetch_faker_products(count: int) -> List[Dict[str, Any]]:
    client = FakerApiClient()
    try:
        return await client.fetch_resource("products", quantity=count)
    except httpx.HTTPStatusError as exc:
        status_code = exc.response.status_code if exc.response is not None else 502
        request_url = str(exc.request.url) if exc.request is not None else "desconhecida"
        raise HTTPException(
            status_code=502,
            detail=f"FakerAPI retornou HTTP {status_code} em '{request_url}'.",
        )
    except httpx.RequestError as exc:
        raise HTTPException(
            status_code=502,
            detail=(
                "Falha de rede ao acessar FakerAPI (products). "
                f"{exc.__class__.__name__}: {exc}. "
                "Verifique egress/NAT do Cloud Run e resolucao DNS."
            ),
        )
    except Exception:
        raise HTTPException(
            status_code=502,
            detail="Falha de integracao com FakerAPI ao consultar products.",
        )


async def _fetch_faker_persons(count: int) -> List[Dict[str, Any]]:
    client = FakerApiClient()
    try:
        return await client.fetch_resource("persons", quantity=count)
    except httpx.HTTPStatusError as exc:
        status_code = exc.response.status_code if exc.response is not None else 502
        request_url = str(exc.request.url) if exc.request is not None else "desconhecida"
        raise HTTPException(
            status_code=502,
            detail=f"FakerAPI retornou HTTP {status_code} em '{request_url}'.",
        )
    except httpx.RequestError as exc:
        raise HTTPException(
            status_code=502,
            detail=(
                "Falha de rede ao acessar FakerAPI (persons). "
                f"{exc.__class__.__name__}: {exc}. "
                "Verifique egress/NAT do Cloud Run e resolucao DNS."
            ),
        )
    except Exception:
        raise HTTPException(
            status_code=502,
            detail="Falha de integracao com FakerAPI ao consultar persons.",
        )


async def consultar_estoque(preco_max: float, categoria: Optional[str] = None) -> List[Dict[str, Any]]:
    raw = await _fetch_faker_products(settings.fakerapi_products_quantity)
    registros: List[Dict[str, Any]] = []

    for item in raw:
        categories = item.get("categories")
        if isinstance(categories, list) and categories:
            category_value = str(categories[0])
        else:
            category_value = str(item.get("category") or "geral")

        registro = {
            "id": item.get("id"),
            "modelo": item.get("name") or item.get("title") or "Veiculo",
            "categoria": category_value.lower(),
            "preco": _parse_float(item.get("price"), 0.0),
        }
        registros.append(registro)

    categoria_norm = categoria.lower() if categoria else None
    return [
        r for r in registros
        if _parse_float(r.get("preco"), 0.0) <= preco_max
        and (categoria_norm is None or str(r.get("categoria", "")).lower() == categoria_norm)
    ]


async def validar_cliente_venda(cpf: str, valor_veiculo: float) -> Dict[str, Any]:
    cpf_norm = normalize_cpf(cpf)
    raw = await _fetch_faker_persons(settings.fakerapi_persons_quantity)

    registros: List[Dict[str, Any]] = []
    for item in raw:
        person_id = item.get("id") or item.get("email") or item.get("firstname")
        generated_cpf = _cpf_from_any(person_id)
        entropy = _stable_int(f"{generated_cpf}:{settings.fakerapi_seed}")
        limite = float(30000 + (entropy % 150000))
        score = int(300 + (entropy % 550))
        possui_restricao = (entropy % 7 == 0)
        nome = f"{item.get('firstname', '')} {item.get('lastname', '')}".strip() or "Cliente"

        registros.append(
            {
                "cpf": generated_cpf,
                "nome": nome,
                "score": score,
                "limite_credito": limite,
                "possui_restricao": possui_restricao,
            }
        )

    cliente = next((r for r in registros if normalize_cpf(r.get("cpf", "")) == cpf_norm), None)
    if not cliente:
        entropy = _stable_int(f"{cpf_norm}:{settings.fakerapi_seed}")
        cliente = {
            "cpf": cpf_norm,
            "nome": "Cliente Faker",
            "score": int(300 + (entropy % 550)),
            "limite_credito": float(30000 + (entropy % 150000)),
            "possui_restricao": (entropy % 7 == 0),
        }

    limite = _parse_float(cliente.get("limite_credito", 0), 0.0)
    restricao = bool(cliente.get("possui_restricao", False))
    aprovado = (not restricao) and (valor_veiculo <= limite)
    return {
        "aprovado": aprovado,
        "cpf": cpf_norm,
        "nome": cliente.get("nome"),
        "score": cliente.get("score"),
        "limite_credito": limite,
        "possui_restricao": restricao,
        "valor_veiculo": valor_veiculo,
    }


async def avaliar_veiculo_troca(modelo: str, ano: int, km: int) -> Dict[str, Any]:
    ano_atual = datetime.now().year
    idade = max(0, ano_atual - ano)
    base = 80000.0
    valor = base * (0.85 ** idade) - (km * 0.03)
    valor = max(5000.0, valor)
    return {
        "modelo": modelo,
        "ano": ano,
        "km": km,
        "valor_estimado_troca": round(valor, 2),
    }


async def agendar_revisao(placa: str, data_hora: str) -> Dict[str, Any]:
    raise HTTPException(
        status_code=503,
        detail="FakerAPI nao suporta escrita/persistencia. Endpoint disponivel apenas para leitura de dados ficticios.",
    )


async def cancelar_pedido(numero_pedido: str, motivo: str) -> Dict[str, Any]:
    raise HTTPException(
        status_code=503,
        detail="FakerAPI nao suporta cancelamento persistente de pedidos. Endpoint indisponivel neste modo.",
    )