エラー修正

answers.py

@@ -48,7 +48,7 @@ def search(query) -> list:
 
     if run.status == "failed":
         logger.error(f"Run_failed: {run.last_error},  Run ID: {run.id}")
-        return "Group 5", None, None, None
+        return "Group 5", ['途中でエラー'], [], []
         # sys.exit(1)
     elif run.status == "requires_action":
         logger.info(
@@ -61,7 +61,7 @@ def search(query) -> list:
         )
 
         if run is None:
-            return "Group 5", None, None, None
+            return "Group 5", ['途中でエラー'], [], []
 
         run = wait_for_run_completion(thread.id, run.id)
 
@@ -84,7 +84,7 @@ def search(query) -> list:
 
         if run.status == "failed":
             logger.error(f"Run_failed: {run.error},  Run ID: {run.id}")
-            return "Group 5", None, None, None
+            return "Group 5", ['途中でエラー'], [], []
             # sys.exit(1)
 
         elif run.status == "requires_action":
@@ -98,14 +98,17 @@ def search(query) -> list:
             )
 
             if run is None:
-                return "Group 5", None, None, None
+                return "Group 5", ['途中でエラー'], [], []
 
             run = wait_for_run_completion(thread.id, run.id)
 
             logger.info(f"Run status: {run.status}")
 
             group, related_url, unrelated_url, other_url = write_gspread(query)
-            related_url_list = ', '.join(related_url)
+            if len(related_url) == 0:
+                related_url_list = '関連URLなし'
+            else:
+                related_url_list = ', '.join(related_url)
             unrelated_url_list = ', '.join(unrelated_url)
             other_url_list = ', '.join(other_url)
             return group, related_url_list, unrelated_url_list, other_url_list

src/group_classification.py

@@ -86,16 +86,16 @@ def main(PDF):
     message = [
             {"role": "system",
              "content":
-             """You are an assistant designed to analyze provided text and answer questions regarding CO2 emissions and reduction targets.
-             When given a prompt, you should extract the relevant information from the provided text and answer in the form (排出量, 削減目標).
-             - 排出量 (CO2 Emission): Answer 1 if there is any mention of CO2 emissions, otherwise answer 0.
-             - 削減目標 (Reduction Target): Answer 1 if there is any mention of a CO2 emission reduction target, otherwise answer 0.
-             Example:
-             - If the text mentions CO2 emissions but does not mention any reduction targets, your response should be (1, 0).
-             - If the text mentions neither CO2 emissions nor reduction targets, your response should be (0, 0)."""
-             },
+"""You are an assistant designed to analyze provided text and answer questions regarding CO2 emissions and reduction targets.
+When given a prompt, you should extract the relevant information from the provided text and answer in the form (排出量, 削減目標).
+- 排出量 (CO2 Emission): Answer 1 if there is any mention of CO2 emissions, otherwise answer 0.
+- 削減目標 (Reduction Target): Answer 1 if there is any mention of a CO2 emission reduction target, otherwise answer 0.
+Example:
+- If the text mentions CO2 emissions but does not mention any reduction targets, your response should be (1, 0).
+- If the text mentions neither CO2 emissions nor reduction targets, your response should be (0, 0)."""
+            },
             {"role": "user",
-             "content": f"""Using the provided information: {texts}, please answer the following question in the given form (排出量, 削減目標): {query}."""}
+            "content": f"""Using the provided information: {texts}, please answer the following question in the given form (排出量, 削減目標): {query}."""}
         ]
 
     response = client.chat.completions.create(