retrieve message function change

test_draftgpt.py

@@ -19,21 +19,29 @@ def retrieve_slack_message(channel_id, slack_token):
     headers = {
         "Authorization": f"Bearer {slack_token}",
     }
-    # Construct the API URL with the channel ID
-    API_URL = f"https://slack.com/api/conversations.history?token={slack_token}&channel={channel_id}&limit=1&inclusive=true"
+    # Construct the request data
+    data = {
+        "channel": channel_id,
+        "limit": 1,
+        "inclusive": True
+    }
+    # Construct the API URL
+    API_URL = "https://slack.com/api/conversations.history"
     print("API URL:", API_URL)  # Print the constructed API URL
-    response = requests.get(API_URL, headers=headers)
-    print("Response:", response)  # Print the response object
+    response = requests.get(API_URL, headers=headers, params=data)
     try:
         response_json = response.json()
-        print("Response JSON:", response_json)  # Print the JSON response
-        # Extract the text of the first message
-        message_text = response_json["messages"][0]["text"]
-        return message_text
-    except Exception as e:
-        print("Error:", e)  # Print any exceptions that occur
-        print("Error: No messages found in response.", response_json)
-        return ""
+        # Check if the response is successful
+        if response_json["ok"]:
+            # Extract the text of the first message
+            message_text = response_json["messages"][0]["text"]
+            return message_text
+        else:
+            print("Error:", response_json["error"])
+            return None
+    except (KeyError, IndexError):
+        print("Error: No messages found in response.")
+        return None
 
 
 def draft_gpt(user_input, openai_api_key=os.environ["OPENAI_API_KEY"], gpt_model=os.environ["GPT_MODEL"]):