formating second attempt

supporting-blog-content/github-assistant/evaluation.py

@@ -15,7 +15,7 @@
 import textwrap
 import argparse
 import traceback
-from httpx import ReadTimeout  
+from httpx import ReadTimeout
 
 logging.basicConfig(stream=sys.stdout, level=logging.INFO)
 logging.getLogger().addHandler(logging.StreamHandler(stream=sys.stdout))
@@ -24,33 +24,33 @@
     description="Process documents and questions for evaluation."
 )
 parser.add_argument(
-                    "--num_documents",
-                    type=int, 
-                    default=None,
-                    help="Number of documents to process (default: all)"
+    "--num_documents",
+    type=int, 
+    default=None,
+    help="Number of documents to process (default: all)"
 )
 parser.add_argument(
-                    "--skip_documents", 
-                    type=int, 
-                    default=0,
-                    help="Number of documents to skip at the beginning (default: 0)"
+    "--skip_documents", 
+    type=int, 
+    default=0,
+    help="Number of documents to skip at the beginning (default: 0)"
 )
 parser.add_argument(
-                    "--num_questions", 
-                    type=int, 
-                    default=None,
-                    help="Number of questions to process (default: all)"
+    "--num_questions", 
+    type=int, 
+    default=None,
+    help="Number of questions to process (default: all)"
 )
 parser.add_argument(
-                    "--skip_questions",
-                    type=int, 
-                    default=0,
-                    help="Number of questions to skip at the beginning (default: 0)"
+    "--skip_questions",
+    type=int, 
+    default=0,
+    help="Number of questions to skip at the beginning (default: 0)"
 )
 parser.add_argument(
-                    "--process_last_questions",
-                    action="store_true",
-                    help="Process last N questions instead of first N"
+    "--process_last_questions",
+    action="store_true",
+    help="Process last N questions instead of first N"
 )
 args = parser.parse_args()
 
@@ -117,6 +117,7 @@
 
 vector_index = VectorStoreIndex.from_documents(documents)
 
+
 def display_eval_df(
     query: str,
     response: Response,
@@ -170,6 +171,7 @@ def wrap_text(text, width=50):
         )
     )
 
+
 query_engine = vector_index.as_query_engine(llm=llm)
 
 total_questions = len(eval_questions_list)

supporting-blog-content/github-assistant/query.py

@@ -8,6 +8,7 @@
 embed_model = OpenAIEmbedding(model="text-embedding-3-large")
 Settings.embed_model = embed_model
 
+
 def run_query_sync():
     query = input("Please enter your query: ")
 
@@ -43,6 +44,7 @@ def run_query_sync():
             es_vector_store.close()
             print("Elasticsearch connection closed.")
 
+
 if __name__ == "__main__":
     try:
         result = run_query_sync()