test_service_api_contracts.py
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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
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,
analysis_kinds: List[str] | None = None,
):
assert tenant_id == "162"
assert analysis_kinds == ["content", "taxonomy"]
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",
"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["analysis_kinds"] == ["content", "taxonomy"]
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_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"