Fix Slack bot

Signed-off-by: Alex Co <alex.tuan@mindvalley.com>

backend/danswer/danswerbot/slack/handlers/handle_message.py

@@ -1,9 +1,7 @@
 import datetime
 
-from danswer.configs.danswerbot_configs import (
-    DANSWER_BOT_FEEDBACK_REMINDER,
-    DANSWER_REACT_EMOJI,
-)
+from danswer.configs.danswerbot_configs import DANSWER_BOT_FEEDBACK_REMINDER
+from danswer.configs.danswerbot_configs import DANSWER_REACT_EMOJI
 from danswer.danswerbot.slack.blocks import get_feedback_reminder_blocks
 from danswer.danswerbot.slack.handlers.handle_regular_answer import (
     handle_regular_answer,
@@ -12,13 +10,11 @@
     handle_standard_answers,
 )
 from danswer.danswerbot.slack.models import SlackMessageInfo
-from danswer.danswerbot.slack.utils import (
-    fetch_slack_user_ids_from_emails,
-    fetch_user_ids_from_groups,
-    respond_in_thread,
-    slack_usage_report,
-    update_emote_react,
-)
+from danswer.danswerbot.slack.utils import fetch_slack_user_ids_from_emails
+from danswer.danswerbot.slack.utils import fetch_user_ids_from_groups
+from danswer.danswerbot.slack.utils import respond_in_thread
+from danswer.danswerbot.slack.utils import slack_usage_report
+from danswer.danswerbot.slack.utils import update_emote_react
 from danswer.db.engine import get_session_with_tenant
 from danswer.db.models import SlackChannelConfig
 from danswer.db.users import add_slack_user_if_not_exists
@@ -218,18 +214,18 @@ def handle_message(
         if message_info.email:
             add_slack_user_if_not_exists(db_session, message_info.email)
 
-        # first check if we need to respond with a standard answer
-        used_standard_answer = handle_standard_answers(
-            message_info=message_info,
-            receiver_ids=send_to,
-            slack_channel_config=slack_channel_config,
-            prompt=prompt,
-            logger=logger,
-            client=client,
-            db_session=db_session,
-        )
-        if used_standard_answer:
-            return False
+        #first check if we need to respond with a standard answer
+        # used_standard_answer = handle_standard_answers(
+        #     message_info=message_info,
+        #     receiver_ids=send_to,
+        #     slack_channel_config=slack_channel_config,
+        #     prompt=prompt,
+        #     logger=logger,
+        #     client=client,
+        #     db_session=db_session,
+        # )
+        # if used_standard_answer:
+        #     return False
 
         # if no standard answer applies, try a regular answer
         issue_with_regular_answer = handle_regular_answer(

backend/danswer/llm/answering/prompts/citations_prompt.py

@@ -137,7 +137,7 @@ def build_citations_system_message(
             prompt_str=system_prompt, user_email=user_email
         )
 
-    logger.info(f"Built system message: {system_prompt}")
+    logger.debug(f"Built system message: {system_prompt}")
 
     return SystemMessage(content=system_prompt)
 

backend/danswer/prompts/prompt_utils.py

@@ -4,25 +4,25 @@
 
 import redis
 from danswer.chat.models import LlmDoc
-from danswer.configs.app_configs import AIRTABLE_API_TOKEN
-from danswer.configs.app_configs import AIRTABLE_EMPLOYEE_BASE_ID
-from danswer.configs.app_configs import AIRTABLE_EMPLOYEE_TABLE_NAME_OR_ID
-from danswer.configs.app_configs import REDIS_DB_NUMBER
-from danswer.configs.app_configs import REDIS_HOST
-from danswer.configs.app_configs import REDIS_PORT
+from danswer.configs.app_configs import (
+    AIRTABLE_API_TOKEN,
+    AIRTABLE_EMPLOYEE_BASE_ID,
+    AIRTABLE_EMPLOYEE_TABLE_NAME_OR_ID,
+    REDIS_DB_NUMBER,
+    REDIS_HOST,
+    REDIS_PORT,
+)
 from danswer.configs.chat_configs import LANGUAGE_HINT
 from danswer.configs.constants import DocumentSource
 from danswer.context.search.models import InferenceChunk
 from danswer.db.models import Prompt
 from danswer.llm.answering.models import PromptConfig
-from danswer.prompts.chat_prompts import ADDITIONAL_INFO
-from danswer.prompts.chat_prompts import CITATION_REMINDER
+from danswer.prompts.chat_prompts import ADDITIONAL_INFO, CITATION_REMINDER
 from danswer.prompts.constants import CODE_BLOCK_PAT
 from danswer.utils.logger import setup_logger
 from langchain_core.messages import BaseMessage
 from pyairtable import Api as AirtableApi
 
-
 logger = setup_logger()
 
 logger = setup_logger()
@@ -74,7 +74,7 @@ def add_employee_context_to_prompt(prompt_str: str, user_email: str) -> str:
     # Check Redis for cached employee context
     cached_context = redis_client.get(user_email)
     if cached_context:
-        logger.info("Employee context retrieved from Redis.")
+        logger.info(f"Employee context retrieved from Redis for email: {user_email}")
         return prompt_str.replace(
             DANSWER_EMPLOYEE_REPLACEMENT, cached_context.decode("utf-8")
         )

backend/danswer/seeding/prompts.yaml

@@ -62,6 +62,9 @@ prompts:
       You give concise responses to very simple questions, but provide more thorough responses to
       more complex and open-ended questions.
 
+      Below is my employee information in Mindvalley:
+
+      DANSWER_EMPLOYEE_REPLACEMENT
 
       You are happy to help with writing, analysis, question answering, math, coding and all sorts
       of other tasks. You use markdown where reasonable and also for coding.