AI

test_backend_case/oneimage_case/test_recomend_services.py

@@ -10,7 +10,7 @@ class TestRecomendServices:
     data = BaseRequest().api_load(path_setting.ONEIMAGE_RECOMEND_SERVICES_DATA)
     recomendservice_case, recomendservice_data = get_ids(data, "recomend_services")
 
-    @pytest.mark.skip("跳过测颜值根据五官推荐美购，目前数据是参数是线上的-------------------")
+    # @pytest.mark.skip("跳过测颜值根据五官推荐美购，目前数据是参数是线上的-------------------")
     @pytest.mark.parametrize("param",recomendservice_data,ids=recomendservice_case)
     def test_recomend_services(self,param):
         r = oneimage_request().recomend_services(param["version"], param["business_tags_names"])

test_backend_case/oneimage_case/test_share_v4.py

@@ -13,7 +13,7 @@ class TestShareV4:
     data = BaseRequest().api_load(path_setting.ONEIMAGE_SHARE_V4_DATA)
     sharev4_case, sharev4_data = get_ids(data, "share_v4")
 
-    @pytest.mark.skip("跳过，测颜值结果v4，目前数据是线上的-------------------")
+    # @pytest.mark.skip("跳过，测颜值结果v4，目前数据是线上的-------------------")
     @pytest.mark.parametrize("param",sharev4_data,ids=sharev4_case)
     def test_share_v4(self,param):
         r = oneimage_request().share_v4(param["version"], param["face_id"])

test_backend_data/oneimage_data/recomend_services.yaml

@@ -3,5 +3,5 @@ recomend_services:
   -
     case: "请求成功，返回个数正确"
     version: "7.42.2"
-    business_tags_names: '[["玻尿酸垫下巴","自体脂肪垫下巴","硅胶垫下巴","膨体垫下巴"],["半永久纹眉","植眉"]]'
-    assert: 2
\ No newline at end of file
+    business_tags_names: '[["鼻翼缩小","玻尿酸隆鼻","耳软骨隆鼻","鼻中隔软骨隆鼻"]]'
+    assert: 1
\ No newline at end of file

test_backend_data/oneimage_data/share_v4.yaml

@@ -3,5 +3,5 @@ share_v4:
   -
     case: "请求成功，有数据返回"
     version: "7.42.2"
-    face_id: "27320150"
+    face_id: "15844721"
     assert: 0
\ No newline at end of file