from __future__ import annotations
  

  import json
  from pathlib import Path

  from types import SimpleNamespace
  from typing import Any, Dict, List
  
  import numpy as np

  import pandas as pd

  import pytest
  from fastapi.testclient import TestClient

  from translation.scenes import normalize_scene_name

  pytestmark = [pytest.mark.contract, pytest.mark.regression]
  

  
  class _FakeSearcher:
      def search(self, **kwargs):
          return SimpleNamespace(
              results=[
                  {
                      "spu_id": "spu-1",
                      "title": "测试商品",
                      "price": 99.0,
                      "currency": "USD",
                      "in_stock": True,
                      "skus": [],
                      "relevance_score": 1.2,
                  }
              ],
              total=1,
              max_score=1.2,
              took_ms=8,
              facets=[],
              query_info={"normalized_query": kwargs.get("query", "")},
              suggestions=[],
              related_searches=[],
              debug_info=None,
          )
  
      def search_by_image(self, **kwargs):
          return self.search(**kwargs)
  
  
  class _FakeSuggestionService:
      def search(self, **kwargs):
          return {
              "query": kwargs["query"],
              "language": kwargs.get("language", "en"),
              "resolved_language": kwargs.get("language", "en"),
              "suggestions": [{"text": "iphone 15", "score": 1.0}],
              "took_ms": 3,
          }
  
  
  @pytest.fixture
  def search_client(monkeypatch):
      import api.app as search_app
  
      monkeypatch.setattr(search_app, "init_service", lambda es_host="": None)
      monkeypatch.setattr(search_app, "get_searcher", lambda: _FakeSearcher())
      monkeypatch.setattr(search_app, "get_suggestion_service", lambda: _FakeSuggestionService())
  
      with TestClient(search_app.app) as client:
          yield client
  
  
  def test_search_api_contract(search_client: TestClient):
      response = search_client.post(
          "/search/",
          headers={"X-Tenant-ID": "162"},
          json={"query": "toy", "size": 5},
      )
      assert response.status_code == 200
      data = response.json()
      assert data["total"] == 1
      assert data["results"][0]["spu_id"] == "spu-1"
  
  
  def test_image_search_api_contract(search_client: TestClient):
      response = search_client.post(
          "/search/image",
          headers={"X-Tenant-ID": "162"},
          json={"image_url": "https://example.com/a.jpg", "size": 3},
      )
      assert response.status_code == 200
      assert response.json()["results"][0]["spu_id"] == "spu-1"
  
  
  def test_suggestion_api_contract(search_client: TestClient):
      response = search_client.get(
          "/search/suggestions?q=iph&size=5&language=en",
          headers={"X-Tenant-ID": "162"},
      )
      assert response.status_code == 200
      data = response.json()
      assert data["query"] == "iph"
      assert len(data["suggestions"]) == 1
  
  

  def test_instant_search_not_implemented(search_client: TestClient):
      response = search_client.get("/search/instant?q=iph&size=5")
      assert response.status_code == 501
  
  
  def test_admin_stats_contract(search_client: TestClient, monkeypatch):
      import api.app as search_app
  
      class _FakeIndices:
          @staticmethod
          def exists(index: str) -> bool:
              return index.endswith("search_products_tenant_162")
  
          @staticmethod
          def stats(index: str):
              return {
                  "indices": {
                      index: {
                          "total": {
                              "store": {
                                  "size_in_bytes": 2 * 1024 * 1024,
                              }
                          }
                      }
                  }
              }
  
      class _FakeClient:
          indices = _FakeIndices()
  
          @staticmethod
          def count(index: str):
              assert index.endswith("search_products_tenant_162")
              return {"count": 123}
  
      monkeypatch.setattr(search_app, "get_es_client", lambda: SimpleNamespace(client=_FakeClient()))
  
      response = search_client.get("/admin/stats", headers={"X-Tenant-ID": "162"})
      assert response.status_code == 200
      data = response.json()
      assert data["tenant_id"] == "162"
      assert data["index_name"].endswith("search_products_tenant_162")
      assert data["document_count"] == 123
      assert data["size_mb"] == 2.0
  
  

  class _FakeBulkService:
      def bulk_index(self, tenant_id: str, recreate_index: bool, batch_size: int):
          return {
              "tenant_id": tenant_id,
              "recreate_index": recreate_index,
              "batch_size": batch_size,
              "success": True,
          }
  
  
  class _FakeTransformer:

      def transform_spu_to_doc(self, tenant_id: str, spu_row, skus, options, **kwargs):

          return {
              "tenant_id": tenant_id,
              "spu_id": str(spu_row.get("id", "0")),
              "title": {"zh": str(spu_row.get("title", ""))},
          }
  
  

  class _FakeDbConnection:
      """Minimal fake for indexer health check: connect().execute(text('SELECT 1'))."""
  
      def __enter__(self):
          return self
  
      def __exit__(self, *args):
          pass
  
      def execute(self, stmt):
          pass
  
  
  class _FakeDbEngine:
      def connect(self):
          return _FakeDbConnection()
  
  

  class _FakeIncrementalService:

      def __init__(self):
          self.db_engine = _FakeDbEngine()
          self.category_id_to_name = {}
  

      def index_spus_to_es(self, es_client, tenant_id: str, spu_ids: List[str], delete_spu_ids=None):

          out = {

              "tenant_id": tenant_id,
              "spu_ids": [{"spu_id": s, "status": "indexed"} for s in spu_ids],
              "delete_spu_ids": [],
              "total": len(spu_ids),
              "success_count": len(spu_ids),
              "failed_count": 0,
          }

          if delete_spu_ids:
              out["delete_spu_ids"] = [{"spu_id": s, "status": "deleted"} for s in delete_spu_ids]
              out["total"] += len(delete_spu_ids)
              out["success_count"] += len(delete_spu_ids)
          return out
  
      def get_spu_document(self, tenant_id: str, spu_id: str):
          return {
              "tenant_id": tenant_id,
              "spu_id": spu_id,
              "title": {"zh": "Fake doc"},
          }

  
      def _get_transformer_bundle(self, tenant_id: str):
          return _FakeTransformer(), None, False
  

      def _load_spus_for_spu_ids(self, tenant_id: str, spu_ids: List[str], include_deleted: bool = False):
          if not spu_ids:
              return pd.DataFrame()
          return pd.DataFrame([{"id": int(s), "title": "Fake", "tenant_id": tenant_id} for s in spu_ids])
  
      def _load_skus_for_spu_ids(self, tenant_id: str, spu_ids: List[str]):
          return pd.DataFrame()
  
      def _load_options_for_spu_ids(self, tenant_id: str, spu_ids: List[str]):
          return pd.DataFrame()
  

  
  @pytest.fixture
  def indexer_client(monkeypatch):
      import api.indexer_app as indexer_app
      import api.routes.indexer as indexer_routes
  

      indexer_app.app.router.on_startup.clear()

      monkeypatch.setattr(indexer_app, "init_indexer_service", lambda es_host="": None)
      monkeypatch.setattr(indexer_routes, "get_bulk_indexing_service", lambda: _FakeBulkService())
      monkeypatch.setattr(indexer_routes, "get_incremental_service", lambda: _FakeIncrementalService())
      monkeypatch.setattr(indexer_routes, "get_es_client", lambda: object())
  
      with TestClient(indexer_app.app) as client:
          yield client
  
  
  def test_indexer_reindex_contract(indexer_client: TestClient):
      response = indexer_client.post(
          "/indexer/reindex",
          json={"tenant_id": "162", "batch_size": 100},
      )
      assert response.status_code == 200
      assert response.json()["success"] is True
  
  
  def test_indexer_incremental_contract(indexer_client: TestClient):
      response = indexer_client.post(
          "/indexer/index",
          json={"tenant_id": "162", "spu_ids": ["1001", "1002"]},
      )
      assert response.status_code == 200
      data = response.json()
      assert data["success_count"] == 2
  
  
  def test_indexer_build_docs_contract(indexer_client: TestClient):
      response = indexer_client.post(
          "/indexer/build-docs",
          json={
              "tenant_id": "162",
              "items": [{"spu": {"id": 1, "title": "T-shirt"}, "skus": [], "options": []}],
          },
      )
      assert response.status_code == 200
      data = response.json()
      assert data["success_count"] == 1
      assert data["docs"][0]["spu_id"] == "1"
  
  

  def test_indexer_build_docs_show_request_response(indexer_client: TestClient):
      """
      调用「输入 SPU 详情、输出 ES doc」的 build-docs 接口，并打印完整请求与响应，
      便于核对返回的 ES 文档字段是否齐全。
      运行: pytest tests/ci/test_service_api_contracts.py::test_indexer_build_docs_show_request_response -v -s
      """
      request_body = {
          "tenant_id": "162",
          "items": [
              {
                  "spu": {"id": 1, "title": "T-shirt", "brief": "A simple T-shirt"},
                  "skus": [],
                  "options": [],
              }
          ],
      }
      print("\n" + "=" * 60)
      print("【请求】POST /indexer/build-docs")
      print("=" * 60)
      print(json.dumps(request_body, ensure_ascii=False, indent=2))
  
      response = indexer_client.post("/indexer/build-docs", json=request_body)
      data = response.json()
  
      print("\n" + "=" * 60)
      print("【响应】status_code =", response.status_code)
      print("=" * 60)
      print(json.dumps(data, ensure_ascii=False, indent=2, default=str))
  
      if data.get("docs"):
          doc = data["docs"][0]
          doc_keys = sorted(doc.keys())
          print("\n" + "=" * 60)
          print("【返回 doc 顶层字段】共 {} 个".format(len(doc_keys)))
          print("=" * 60)
          for k in doc_keys:
              print(" ", k)
  
          # 与 ES mapping 顶层字段对比
          mapping_path = Path(__file__).resolve().parents[2] / "mappings" / "search_products.json"
          if mapping_path.exists():
              with open(mapping_path) as f:
                  mapping = json.load(f)
              expected_top_level = set(mapping.get("mappings", {}).get("properties", {}).keys())
              returned = set(doc_keys)
              missing = expected_top_level - returned
              extra = returned - expected_top_level
              print("\n" + "=" * 60)
              print("【与 mappings/search_products.json 对比】")
              print("=" * 60)
              print("  mapping 中应有、当前 doc 未返回:", sorted(missing) if missing else "(无)")
              print("  当前 doc 多出:", sorted(extra) if extra else "(无)")
  
      assert response.status_code == 200
      assert data["success_count"] == 1
      assert data["docs"][0]["spu_id"] == "1"
  
  

  def test_indexer_build_docs_from_db_contract(indexer_client: TestClient):
      """POST /indexer/build-docs-from-db: tenant_id + spu_ids, returns same shape as build-docs."""
      response = indexer_client.post(
          "/indexer/build-docs-from-db",
          json={"tenant_id": "162", "spu_ids": ["1001", "1002"]},
      )
      assert response.status_code == 200
      data = response.json()
      assert data["tenant_id"] == "162"
      assert "docs" in data
      assert data["success_count"] == 2
      assert len(data["docs"]) == 2
      assert data["docs"][0]["spu_id"] == "1001"
  
  

  def test_indexer_enrich_content_contract(indexer_client: TestClient, monkeypatch):

      import indexer.product_enrich as process_products

      def _fake_build_index_content_fields(
          items: List[Dict[str, str]],
          tenant_id: str | None = None,

          enrichment_scopes: List[str] | None = None,
          category_taxonomy_profile: str = "apparel",

      ):

          assert tenant_id == "162"

          assert enrichment_scopes == ["generic", "category_taxonomy"]
          assert category_taxonomy_profile == "apparel"

          return [
              {

                  "id": p["spu_id"],
                  "qanchors": {
                      "zh": [f"zh-anchor-{p['spu_id']}"],
                      "en": [f"en-anchor-{p['spu_id']}"],
                  },
                  "enriched_tags": {"zh": ["tag1", "tag2"], "en": ["tag1", "tag2"]},
                  "enriched_attributes": [

                      {"name": "enriched_tags", "value": {"zh": ["tag1"], "en": ["tag1"]}},

                  ],

                  "enriched_taxonomy_attributes": [
                      {"name": "Product Type", "value": {"zh": ["T恤"], "en": ["t-shirt"]}},
                  ],

              }

              for p in items

          ]
  

      monkeypatch.setattr(process_products, "build_index_content_fields", _fake_build_index_content_fields)

  
      response = indexer_client.post(
          "/indexer/enrich-content",
          json={
              "tenant_id": "162",

              "enrichment_scopes": ["generic", "category_taxonomy"],
              "category_taxonomy_profile": "apparel",

              "items": [
                  {"spu_id": "1001", "title": "T-shirt"},
                  {"spu_id": "1002", "title": "Toy"},
              ],

          },
      )
      assert response.status_code == 200
      data = response.json()
      assert data["tenant_id"] == "162"

      assert data["enrichment_scopes"] == ["generic", "category_taxonomy"]
      assert data["category_taxonomy_profile"] == "apparel"

      assert data["total"] == 2
      assert len(data["results"]) == 2
      assert data["results"][0]["spu_id"] == "1001"

      assert data["results"][0]["qanchors"]["zh"] == ["zh-anchor-1001"]
      assert data["results"][0]["qanchors"]["en"] == ["en-anchor-1001"]
      assert data["results"][0]["enriched_tags"]["zh"] == ["tag1", "tag2"]
      assert data["results"][0]["enriched_tags"]["en"] == ["tag1", "tag2"]
      assert data["results"][0]["enriched_attributes"][0] == {
          "name": "enriched_tags",

          "value": {"zh": ["tag1"], "en": ["tag1"]},

      }

      assert data["results"][0]["enriched_taxonomy_attributes"][0] == {
          "name": "Product Type",
          "value": {"zh": ["T恤"], "en": ["t-shirt"]},
      }

  def test_indexer_enrich_content_contract_accepts_deprecated_analysis_kinds(indexer_client: TestClient, monkeypatch):
      import indexer.product_enrich as process_products
  
      seen: Dict[str, Any] = {}
  
      def _fake_build_index_content_fields(
          items: List[Dict[str, str]],
          tenant_id: str | None = None,
          enrichment_scopes: List[str] | None = None,
          category_taxonomy_profile: str = "apparel",
      ):
          seen["tenant_id"] = tenant_id
          seen["enrichment_scopes"] = enrichment_scopes
          seen["category_taxonomy_profile"] = category_taxonomy_profile
          return [
              {
                  "id": items[0]["spu_id"],
                  "qanchors": {},
                  "enriched_tags": {},
                  "enriched_attributes": [],
                  "enriched_taxonomy_attributes": [],
              }
          ]
  
      monkeypatch.setattr(process_products, "build_index_content_fields", _fake_build_index_content_fields)
  
      response = indexer_client.post(
          "/indexer/enrich-content",
          json={
              "tenant_id": "162",
              "analysis_kinds": ["taxonomy"],
              "items": [{"spu_id": "1001", "title": "T-shirt"}],
          },
      )
  
      assert response.status_code == 200
      data = response.json()
      assert seen == {
          "tenant_id": "162",
          "enrichment_scopes": ["category_taxonomy"],
          "category_taxonomy_profile": "apparel",
      }
      assert data["enrichment_scopes"] == ["category_taxonomy"]
      assert data["category_taxonomy_profile"] == "apparel"
  
  

  def test_indexer_enrich_content_contract_supports_non_apparel_taxonomy_profiles(indexer_client: TestClient, monkeypatch):
      import indexer.product_enrich as process_products
  
      def _fake_build_index_content_fields(
          items: List[Dict[str, str]],
          tenant_id: str | None = None,
          enrichment_scopes: List[str] | None = None,
          category_taxonomy_profile: str = "apparel",
      ):
          assert tenant_id == "162"
          assert enrichment_scopes == ["category_taxonomy"]
          assert category_taxonomy_profile == "toys"
          return [
              {
                  "id": items[0]["spu_id"],
                  "qanchors": {},
                  "enriched_tags": {},
                  "enriched_attributes": [],
                  "enriched_taxonomy_attributes": [
                      {"name": "Product Type", "value": {"en": ["doll set"]}},
                      {"name": "Age Group", "value": {"en": ["kids"]}},
                  ],
              }
          ]
  
      monkeypatch.setattr(process_products, "build_index_content_fields", _fake_build_index_content_fields)
  
      response = indexer_client.post(
          "/indexer/enrich-content",
          json={
              "tenant_id": "162",
              "enrichment_scopes": ["category_taxonomy"],
              "category_taxonomy_profile": "toys",
              "items": [{"spu_id": "1001", "title": "Toy"}],
          },
      )
  
      assert response.status_code == 200
      data = response.json()
      assert data["category_taxonomy_profile"] == "toys"
      assert data["results"][0]["enriched_taxonomy_attributes"] == [
          {"name": "Product Type", "value": {"en": ["doll set"]}},
          {"name": "Age Group", "value": {"en": ["kids"]}},
      ]
  
  

  def test_indexer_documents_contract(indexer_client: TestClient):
      """POST /indexer/documents: tenant_id + spu_ids, returns success/failed lists (no ES write)."""
      response = indexer_client.post(
          "/indexer/documents",
          json={"tenant_id": "162", "spu_ids": ["1001", "1002"]},
      )
      assert response.status_code == 200
      data = response.json()
      assert "success" in data and "failed" in data
      assert data["total"] == 2
      assert data["success_count"] == 2
      assert data["failed_count"] == 0
      assert len(data["success"]) == 2
      assert data["success"][0]["spu_id"] == "1001"
      assert "document" in data["success"][0]
      assert data["success"][0]["document"]["title"]["zh"] == "Fake doc"
  
  
  def test_indexer_health_contract(indexer_client: TestClient):
      """GET /indexer/health: returns status and database/preloaded_data."""
      response = indexer_client.get("/indexer/health")
      assert response.status_code == 200
      data = response.json()
      assert "status" in data
      assert data["status"] in ("available", "unavailable", "error")
      assert "database" in data or "message" in data
      if "preloaded_data" in data:
          assert "category_mappings" in data["preloaded_data"]
  
  
  def test_indexer_incremental_with_delete_spu_ids(indexer_client: TestClient):
      """POST /indexer/index with delete_spu_ids: explicit delete path."""
      response = indexer_client.post(
          "/indexer/index",
          json={
              "tenant_id": "162",
              "spu_ids": ["1001"],
              "delete_spu_ids": ["2001", "2002"],
          },
      )
      assert response.status_code == 200
      data = response.json()
      assert data["success_count"] == 3
      assert len(data["spu_ids"]) == 1
      assert len(data["delete_spu_ids"]) == 2
      assert data["delete_spu_ids"][0]["status"] == "deleted"
  
  
  def test_indexer_index_validation_both_empty(indexer_client: TestClient):
      """POST /indexer/index: 400 when spu_ids and delete_spu_ids both empty."""
      response = indexer_client.post(
          "/indexer/index",
          json={"tenant_id": "162", "spu_ids": [], "delete_spu_ids": []},
      )
      assert response.status_code == 400
  
  
  def test_indexer_index_validation_max_spu_ids(indexer_client: TestClient):
      """POST /indexer/index: 400 when spu_ids > 100."""
      response = indexer_client.post(
          "/indexer/index",
          json={"tenant_id": "162", "spu_ids": [str(i) for i in range(101)], "delete_spu_ids": []},
      )
      assert response.status_code == 400
  
  
  def test_indexer_build_docs_validation_empty_items(indexer_client: TestClient):
      """POST /indexer/build-docs: 400 when items empty."""
      response = indexer_client.post(
          "/indexer/build-docs",
          json={"tenant_id": "162", "items": []},
      )
      assert response.status_code == 400
  
  
  def test_indexer_documents_validation_empty_spu_ids(indexer_client: TestClient):
      """POST /indexer/documents: 400 when spu_ids empty."""
      response = indexer_client.post(
          "/indexer/documents",
          json={"tenant_id": "162", "spu_ids": []},
      )
      assert response.status_code == 400
  
  
  def test_indexer_build_docs_from_db_validation_empty_spu_ids(indexer_client: TestClient):
      """POST /indexer/build-docs-from-db: 400 when spu_ids empty."""
      response = indexer_client.post(
          "/indexer/build-docs-from-db",
          json={"tenant_id": "162", "spu_ids": []},
      )
      assert response.status_code == 400
  
  
  def test_indexer_build_docs_validation_max_items(indexer_client: TestClient):
      """POST /indexer/build-docs: 400 when items > 200."""
      response = indexer_client.post(
          "/indexer/build-docs",
          json={
              "tenant_id": "162",
              "items": [{"spu": {"id": i, "title": "x"}, "skus": [], "options": []} for i in range(201)],
          },
      )
      assert response.status_code == 400
  
  
  def test_indexer_build_docs_from_db_validation_max_spu_ids(indexer_client: TestClient):
      """POST /indexer/build-docs-from-db: 400 when spu_ids > 200."""
      response = indexer_client.post(
          "/indexer/build-docs-from-db",
          json={"tenant_id": "162", "spu_ids": [str(i) for i in range(201)]},
      )
      assert response.status_code == 400
  
  

  def test_indexer_enrich_content_validation_max_items(indexer_client: TestClient):
      response = indexer_client.post(
          "/indexer/enrich-content",
          json={
              "tenant_id": "162",
              "items": [{"spu_id": str(i), "title": "x"} for i in range(51)],

          },
      )
      assert response.status_code == 400
  
  

  def test_indexer_documents_validation_max_spu_ids(indexer_client: TestClient):
      """POST /indexer/documents: 400 when spu_ids > 100."""
      response = indexer_client.post(
          "/indexer/documents",
          json={"tenant_id": "162", "spu_ids": [str(i) for i in range(101)]},
      )
      assert response.status_code == 400
  
  
  def test_indexer_index_validation_max_delete_spu_ids(indexer_client: TestClient):
      """POST /indexer/index: 400 when delete_spu_ids > 100."""
      response = indexer_client.post(
          "/indexer/index",
          json={"tenant_id": "162", "spu_ids": [], "delete_spu_ids": [str(i) for i in range(101)]},
      )
      assert response.status_code == 400
  
  

  class _FakeTextModel:

      """Matches TEI / server path: `_text_model.encode(...)` (not encode_batch)."""
  
      def encode(
          self,
          texts,
          batch_size=32,
          device="cpu",
          normalize_embeddings=True,
      ):

          return [np.array([0.1, 0.2, 0.3], dtype=np.float32) for _ in texts]
  
  
  class _FakeImageModel:

      def encode_image_urls(self, urls, batch_size=8, normalize_embeddings=True):

          return [np.array([0.3, 0.2, 0.1], dtype=np.float32) for _ in urls]
  

      def encode_clip_texts(self, texts, batch_size=8, normalize_embeddings=True):
          return [np.array([0.31, 0.21, 0.11], dtype=np.float32) for _ in texts]
  

  class _EmbeddingCacheMiss:
      """Avoid Redis/module cache hits so contract tests exercise the encode path."""
  
      redis_client = None
  
      def get(self, key):
          return None
  
      def set(self, key, value):
          return True
  
  

  @pytest.fixture

  def embedding_module():

      import embeddings.server as emb_server
  
      emb_server.app.router.on_startup.clear()
      emb_server._text_model = _FakeTextModel()
      emb_server._image_model = _FakeImageModel()

      emb_server._text_backend_name = "tei"
      emb_server._text_cache = _EmbeddingCacheMiss()
      emb_server._image_cache = _EmbeddingCacheMiss()

      emb_server._clip_text_cache = _EmbeddingCacheMiss()

      yield emb_server

  def test_embedding_text_contract(embedding_module):

      """Contract via HTTP like production; route handlers require Request/Response."""
      from fastapi.testclient import TestClient
  
      with TestClient(embedding_module.app) as client:
          resp = client.post("/embed/text", json=["hello", "world"])
      assert resp.status_code == 200
      data = resp.json()

      assert len(data) == 2
      assert len(data[0]) == 3
  
  

  def test_embedding_image_contract(embedding_module):

      from fastapi.testclient import TestClient
  
      with TestClient(embedding_module.app) as client:
          resp = client.post("/embed/image", json=["https://example.com/a.jpg"])
      assert resp.status_code == 200
      data = resp.json()

      assert len(data[0]) == 3

  def test_embedding_clip_text_contract(embedding_module):
      from fastapi.testclient import TestClient
  
      with TestClient(embedding_module.app) as client:
          resp = client.post("/embed/clip_text", json=["纯棉短袖", "street tee"])
      assert resp.status_code == 200
      data = resp.json()
      assert len(data) == 2
      assert len(data[0]) == 3
  
  

  class _FakeTranslator:

      model = "qwen-mt"
      supports_batch = True
  
      def translate(
          self,
          text: str | List[str],
          target_lang: str,
          source_lang: str | None = None,
          scene: str | None = None,
      ):
          del source_lang, scene
          if isinstance(text, list):
              return [f"{item}-{target_lang}" for item in text]

          return f"{text}-{target_lang}"
  
  

  class _FailingTranslator:

      model = "qwen-mt"
      supports_batch = True
  
      def translate(
          self,
          text: str | List[str],
          target_lang: str,
          source_lang: str | None = None,
          scene: str | None = None,
      ):
          del text, target_lang, source_lang, scene

          return None
  
  

  @pytest.fixture
  def translator_client(monkeypatch):
      import api.translator_app as translator_app
  
      translator_app.app.router.on_startup.clear()

  
      class _FakeService:
          def __init__(self, translator):
              self._translator = translator
              self.config = {
                  "default_model": "qwen-mt",
                  "default_scene": "general",
                  "capabilities": {
                      "qwen-mt": {
                          "enabled": True,
                          "backend": "qwen_mt",
                          "model": "qwen-mt-flash",
                          "base_url": "https://example.com",
                          "timeout_sec": 10.0,
                          "use_cache": True,
                      }
                  },
                  "cache": {

                      "ttl_seconds": 60,
                      "sliding_expiration": True,

                  },
              }
              self.available_models = ["qwen-mt"]
              self.loaded_models = ["qwen-mt"]
  
          def get_backend(self, model=None):
              del model
              return self._translator
  
          def translate(self, **kwargs):
              kwargs.pop("model", None)
              return self._translator.translate(**kwargs)
  
      monkeypatch.setattr(translator_app, "get_translation_service", lambda: _FakeService(_FakeTranslator()))

  
      with TestClient(translator_app.app) as client:
          yield client
  
  
  def test_translator_api_contract(translator_client: TestClient):
      response = translator_client.post(
          "/translate",
          json={"text": "商品名称", "target_lang": "en", "source_lang": "zh"},
      )
      assert response.status_code == 200
      assert response.json()["translated_text"] == "商品名称-en"
  
  

  def test_translator_api_failure_returns_500(monkeypatch):
      import api.translator_app as translator_app
  
      translator_app.app.router.on_startup.clear()

  
      class _FakeService:
          def __init__(self, translator):
              self._translator = translator
              self.config = {
                  "default_model": "qwen-mt",
                  "default_scene": "general",
                  "capabilities": {
                      "qwen-mt": {
                          "enabled": True,
                          "backend": "qwen_mt",
                          "model": "qwen-mt-flash",
                          "base_url": "https://example.com",
                          "timeout_sec": 10.0,
                          "use_cache": True,
                      }
                  },
                  "cache": {

                      "ttl_seconds": 60,
                      "sliding_expiration": True,

                  },
              }
              self.available_models = ["qwen-mt"]
              self.loaded_models = ["qwen-mt"]
  
          def get_backend(self, model=None):
              del model
              return self._translator
  
          def translate(self, **kwargs):
              kwargs.pop("model", None)
              return self._translator.translate(**kwargs)
  
      monkeypatch.setattr(translator_app, "get_translation_service", lambda: _FakeService(_FailingTranslator()))

  
      with TestClient(translator_app.app) as client:
          response = client.post(
              "/translate",
              json={"text": "商品名称", "target_lang": "en", "source_lang": "zh"},
          )
  
      assert response.status_code == 500
      assert response.json()["detail"] == "Translation failed"
  
  

  def test_translator_health_contract(translator_client: TestClient):
      response = translator_client.get("/health")
      assert response.status_code == 200
      assert response.json()["status"] == "healthy"

      assert response.json()["loaded_models"] == ["qwen-mt"]

  
  
  class _FakeReranker:
      _model_name = "fake-reranker"
  
      def score_with_meta(self, query: str, docs: List[str], normalize: bool = True):
          scores = [float(i + 1) for i in range(len(docs))]
          meta: Dict[str, Any] = {"input_docs": len(docs), "unique_docs": len(set(docs))}
          return scores, meta
  
  
  @pytest.fixture
  def reranker_client():
      import reranker.server as reranker_server
  
      reranker_server.app.router.on_startup.clear()
      reranker_server._reranker = _FakeReranker()
      reranker_server._backend_name = "fake"
  
      with TestClient(reranker_server.app) as client:
          yield client
  
  
  def test_reranker_api_contract(reranker_client: TestClient):
      response = reranker_client.post(
          "/rerank",
          json={"query": "wireless mouse", "docs": ["doc-a", "doc-b"]},
      )
      assert response.status_code == 200
      data = response.json()
      assert data["scores"] == [1.0, 2.0]
      assert data["meta"]["input_docs"] == 2
  
  
  def test_reranker_health_contract(reranker_client: TestClient):
      response = reranker_client.get("/health")
      assert response.status_code == 200
      assert response.json()["status"] == "ok"