Fix merge

backend/scripts/hubgpt_eval_automation.py

@@ -3,31 +3,17 @@
 import datetime
 import json
 import os
-<<<<<<< Updated upstream
 
 import pandas as pd
 import requests
-=======
-import pandas as pd
-import requests
-
->>>>>>> Stashed changes
 from slack_sdk import WebClient
 
 
 def create_new_chat_session(danswer_url: str, api_key: str | None) -> int:
     headers = {"Authorization": f"Bearer {api_key}"} if api_key else None
     session_endpoint = danswer_url + "/api/chat/create-chat-session"
 
-<<<<<<< Updated upstream
     response = requests.post(session_endpoint, headers=headers, json={"persona_id": 0})
-=======
-    response = requests.post(
-        session_endpoint,
-        headers=headers,
-        json={"persona_id": 0}
-        )
->>>>>>> Stashed changes
     response.raise_for_status()
 
     new_session_id = response.json()["chat_session_id"]
@@ -71,12 +57,8 @@ def process_question(danswer_url: str, question: str, api_key: str | None) -> No
             if new_token:
                 response_str += new_token
         return response_str
-<<<<<<< Updated upstream
 
 
-=======
-
->>>>>>> Stashed changes
 def upload_to_slack(filename, channel_id):
     slack_client = WebClient(token=os.environ.get("SLACK_BOT_TOKEN"))
     size = os.stat(filename).st_size
@@ -86,34 +68,6 @@ def upload_to_slack(filename, channel_id):
     post_response = requests.post(url=upload_url, data=open(filename, "rb"))
     if post_response.status_code == 200:
         upload_response = slack_client.files_completeUploadExternal(
-<<<<<<< Updated upstream
-            files=[{"id": file_id, "title": "Monthly Performance Evaluation"}],
-            channel_id=channel_id,
-        )
-    return upload_response.status_code
-
-
-if __name__ == "__main__":
-    data = pd.read_csv("hubgpt_eval_automated.csv")
-
-    queries_list = data.Query.tolist()
-
-    responses = []
-
-    for num, query in enumerate(queries_list):
-        print(f"Query {num+1}/{len(queries_list)}: {query}")
-        response = process_question(
-            danswer_url=os.getenv("WEB_DOMAIN"), question=query, api_key=None
-        )
-        responses.append(response)
-        print("\n ------------------- \n")
-
-    today_str = str(datetime.date.today())
-    data[today_str] = responses
-
-    # Record + send info
-    data.to_csv("hubgpt_eval_automated.csv", index=False)
-=======
             files=[{"id": file_id, "title": "Monthly Performance Evaluation"}], channel_id=channel_id
         )
     return upload_response.status_code
@@ -141,7 +95,6 @@ def upload_to_slack(filename, channel_id):
 
     # Record + send info
     data.to_csv("hubgpt_eval_automated.csv", index = False)
->>>>>>> Stashed changes
     print("Complete")
     CHANNEL_ID = os.environ.get("METRICS_CHANNEL_ID")
     upload_to_slack("hubgpt_eval_automated.csv", CHANNEL_ID)