"""
Intégration : ``_run_translation_job`` route bien le modèle par palier.

Un faux fournisseur OpenAI-compatible capture le paramètre ``model`` reçu du
worker ; ``load_settings`` (réglages admin) est substitué. On vérifie que :
  - provider="openrouter"          → modèle Essentielle (réglages > plan) ;
  - provider="openrouter_premium"  → modèle Premium ;
  - un ``ai_tiers.essential`` personnalisé est honoré sans redéploiement ;
  - un ``ai_tiers.essential`` contenant un modèle Premium est corrigé à l'exécution.
"""

import asyncio
import pytest
from pathlib import Path

import routes.translate_routes as tr


@pytest.fixture
def minimal_xlsx(tmp_path):
    try:
        import openpyxl

        wb = openpyxl.Workbook()
        wb.active["A1"] = "Hello"
        p = tmp_path / "minimal.xlsx"
        wb.save(p)
        return p
    except ImportError:
        pytest.skip("openpyxl required")


def _settings(ai_tiers: dict, api_key: str = "sk-or-test"):
    from routes.admin_routes import SettingsConfig

    return SettingsConfig.model_validate(
        {
            "openrouter": {"api_key": api_key},
            "openrouter_premium": {"api_key": api_key},
            "ai_tiers": ai_tiers,
        }
    )


def _register_job(job_id: str) -> None:
    tr._translation_jobs[job_id] = {
        "id": job_id,
        "status": "processing",
        "progress_percent": 0,
        "current_step": "",
        "provider": "openrouter",
        "created_at": "2026-09-05T00:00:00+00:00",
    }


def _run_job(monkeypatch, tmp_path, minimal_xlsx, admin_settings, provider: str,
             user_plan: str) -> list:
    """Lance _run_translation_job avec des faux traducteurs/fournisseurs et
    renvoie la liste des modèles capturés par le faux fournisseur."""
    import routes.admin_routes as admin_routes_mod
    import services.providers.openai_provider as openai_provider_mod

    captured: list = []

    class FakeProvider:
        def __init__(self, api_key=None, model=None, base_url=None, timeout=60, **kwargs):
            self.model = model
            self._model = model
            captured.append(model)

    class FakeExcelTranslator:
        def __init__(self, provider=None):
            self.provider = provider

        def translate_file(self, input_path, output_path, target_lang,
                           source_lang="auto", progress_callback=None,
                           translate_images=False, **kwargs):
            out = Path(output_path)
            out.parent.mkdir(parents=True, exist_ok=True)
            out.write_bytes(minimal_xlsx.read_bytes())

        def get_translation_stats(self):
            return {"attempted": 1, "changed": 1}

    monkeypatch.setattr(openai_provider_mod, "OpenAITranslationProvider", FakeProvider)
    monkeypatch.setattr(tr, "ExcelTranslator", FakeExcelTranslator)
    monkeypatch.setattr(
        admin_routes_mod, "load_settings", lambda: admin_settings, raising=True
    )

    _register_job("job-test")
    try:
        asyncio.run(
            tr._run_translation_job(
                job_id="job-test",
                input_path=Path(minimal_xlsx),
                file_extension=".xlsx",
                target_lang="fr",
                source_lang="en",
                provider=provider,
                user_id=None,
                custom_prompt=None,
                glossary_id=None,
                prompt_id=None,
                webhook_url=None,
                user_plan=user_plan,
            )
        )
    finally:
        tr._translation_jobs.pop("job-test", None)
    return captured


def test_openrouter_pro_uses_essential_tier_model(monkeypatch, tmp_path, minimal_xlsx):
    settings = _settings({"essential": {"models": [], "default_model": ""},
                          "premium": {"models": [], "default_model": ""}})
    captured = _run_job(monkeypatch, tmp_path, minimal_xlsx, settings,
                        provider="openrouter", user_plan="PlanType.PRO")
    assert captured, "le faux fournisseur n'a pas été instancié"
    assert captured[0] == "deepseek/deepseek-v4-flash"
    assert captured[0] not in (
        "anthropic/claude-sonnet-5",
        "deepseek/deepseek-v4-pro",
        "z-ai/glm-5.3",
    )


def test_openrouter_premium_uses_premium_tier_model(monkeypatch, tmp_path, minimal_xlsx):
    settings = _settings({"essential": {"models": [], "default_model": ""},
                          "premium": {"models": [], "default_model": ""}})
    captured = _run_job(monkeypatch, tmp_path, minimal_xlsx, settings,
                        provider="openrouter_premium", user_plan="PlanType.BUSINESS")
    assert captured, "le faux fournisseur n'a pas été instancié"
    assert captured[0] == "anthropic/claude-sonnet-5"


def test_admin_tier_default_applied_without_redeployment(monkeypatch, tmp_path, minimal_xlsx):
    settings = _settings({"essential": {"models": [], "default_model": "z-ai/glm-5.3-flash"},
                          "premium": {"models": [], "default_model": ""}})
    captured = _run_job(monkeypatch, tmp_path, minimal_xlsx, settings,
                        provider="openrouter", user_plan="PlanType.PRO")
    assert captured[0] == "z-ai/glm-5.3-flash"


def test_essential_tier_resolving_premium_model_is_corrected(monkeypatch, tmp_path, minimal_xlsx):
    """Garde d'exécution : un ai_tiers essential contaminé par un modèle
    Premium ne doit pas partir en production — repli sur le défaut du plan."""
    settings = _settings({"essential": {"models": [], "default_model": "anthropic/claude-sonnet-5"},
                          "premium": {"models": [], "default_model": ""}})
    captured = _run_job(monkeypatch, tmp_path, minimal_xlsx, settings,
                        provider="openrouter", user_plan="PlanType.PRO")
    assert captured[0] == "deepseek/deepseek-v4-flash"