Fix the cache_skip param don't take effect

gptcache/adapter/adapter.py

@@ -16,12 +16,13 @@ def adapt(llm_handler, cache_data_convert, update_cache_callback, *args, **kwarg
     pre_embedding_data = chat_cache.pre_embedding_func(
         kwargs, extra_param=context.get("pre_embedding_func", None)
     )
-    if cache_enable and not cache_skip:
+    if cache_enable:
         embedding_data = time_cal(
             chat_cache.embedding_func,
             func_name="embedding",
             report_func=chat_cache.report.embedding,
         )(pre_embedding_data, extra_param=context.get("embedding_func", None))
+    if cache_enable and not cache_skip:
         cache_data_list = time_cal(
             chat_cache.data_manager.search,
             func_name="search",

setup.py

@@ -17,7 +17,7 @@ def parse_requirements(file_name: str) -> List[str]:
 setuptools.setup(
     name="gptcache",
     packages=find_packages(),
-    version="0.1.6",
+    version="0.1.7",
     author="SimFG",
     author_email="bang.fu@zilliz.com",
     description="GPT Cache, a powerful caching library that can be used to speed up and lower the cost of chat "

tests/unit_tests/adapter/test_adapter.py

@@ -14,11 +14,6 @@ def llm_handler(*llm_args, **llm_kwargs):
         time.sleep(1)
         return a + b
 
-    def pre_embedding(data, **kwargs):
-        a = data.get("a", 0)
-        b = data.get("b", 0)
-        return f"{a}+{b}"
-
     def cache_data_convert(cache_data):
         return int(cache_data)
 
@@ -31,6 +26,11 @@ def add_llm(*args, **kwargs):
             llm_handler, cache_data_convert, update_cache_callback, *args, **kwargs
         )
 
+    def pre_embedding(data, **kwargs):
+        a = data.get("a", 0)
+        b = data.get("b", 0)
+        return f"{a}+{b}"
+
     if os.path.isfile(data_map_path):
         os.remove(data_map_path)
     map_manager = get_data_manager()
@@ -43,6 +43,8 @@ def add1(**kwargs):
         res = add_llm(a=1, b=2, **kwargs)
         assert res == 3, res
 
+    # pre_embedding -> embedding -> handle
+    # 0 + 0 + 1.0
     time_cal(add1, report_func=report_func)()
 
     # test cache_skip param
@@ -55,6 +57,12 @@ def delay_embedding(data, **kwargs):
         embedding_func=delay_embedding,
         data_manager=map_manager,
     )
+
+    def report_func(delta_time):
+        assert 1.4 < delta_time < 1.6, delta_time
+
+    # pre_embedding -> embedding -> handle
+    # 0 + 0.5 + 1.0
     time_cal(add1, report_func=report_func)(cache_skip=True)
 
     def report_func(delta_time):