Completely Patch vanilla Danswer -> HubGPT

.github/workflows/redeploy.yml

@@ -0,0 +1,55 @@
+name: Deploy on Production Update
+
+on:
+  push:
+    branches:
+      - prod  
+
+jobs:
+  deploy:
+    runs-on: ubuntu-latest
+    environment: 
+      name: production
+    steps:
+      - name: Checkout code
+        uses: actions/checkout@v2
+
+      - name: Configure SSH
+        run: |
+          mkdir -p ~/.ssh/
+          echo "$PROD_SSH_KEY" > ~/.ssh/hubgpt_prod.key
+          chmod 600 ~/.ssh/hubgpt_prod.key
+          cat >>~/.ssh/config <<END
+          Host prod
+            HostName $PROD_EC2_HOST_IP
+            User $PROD_EC2_USER
+            IdentityFile ~/.ssh/hubgpt_prod.key
+            StrictHostKeyChecking no
+          END
+        env:
+          PROD_EC2_USER: ${{ secrets.PROD_EC2_USER }}
+          PROD_SSH_KEY: ${{ secrets.PROD_SSH_KEY }}
+          PROD_EC2_HOST_IP: ${{ secrets.PROD_EC2_HOST_IP }}
+
+      - name: Deploy to Production
+        run: |
+          ssh prod << 'EOF'
+          cd danswer
+          make re-deploy
+          echo "Deployment complete"
+          echo "Last commit merged in:"
+          git --no-pager log -1
+          EOF
+
+      - name: Wait before pinging
+        run: sleep 60
+
+      - name: Ping the website
+        run: |
+          response=$(curl -o /dev/null -s -w "%{http_code}\n" https://hubgpt.idinsight.io)
+          if [ "$response" -eq 307 ]; then
+            echo "Site is up and returned HTTP status 307"
+          else
+            echo "Site might be down or is not returning expected codes. Code returned: $response"
+            exit 1
+          fi

.github/workflows/send_performance_demo.yml

@@ -0,0 +1,39 @@
+name: Run Performance Test
+# NB This only works on the default (prod) branch 
+on:
+  workflow_dispatch:
+  # schedule:
+  #   - cron: '0 9 1-7 * 5'
+
+jobs:
+  deploy:
+    runs-on: ubuntu-latest
+    environment: 
+      name: production
+    steps:
+      - name: Checkout code
+        uses: actions/checkout@v2
+
+      - name: Configure SSH
+        run: |
+          mkdir -p ~/.ssh/
+          echo "$PROD_SSH_KEY" > ~/.ssh/hubgpt_prod.key
+          chmod 600 ~/.ssh/hubgpt_prod.key
+          cat >>~/.ssh/config <<END
+          Host prod
+            HostName $PROD_EC2_HOST_IP
+            User $PROD_EC2_USER
+            IdentityFile ~/.ssh/hubgpt_prod.key
+            StrictHostKeyChecking no
+          END
+        env:
+          PROD_EC2_USER: ${{ secrets.PROD_EC2_USER }}
+          PROD_SSH_KEY: ${{ secrets.PROD_SSH_KEY }}
+          PROD_EC2_HOST_IP: ${{ secrets.PROD_EC2_HOST_IP }}
+
+      - name: Trigger sample query run
+        run: |
+          ssh prod << 'EOF'
+          cd danswer
+          make send-hubgpt-eval
+          EOF

.github/workflows/send_slack_metrics.yml

@@ -0,0 +1,38 @@
+name: Send Slack Metrics
+# NB This only works on the default (prod) branch 
+on:
+  schedule:
+    - cron: '0 9 * * 5'
+
+jobs:
+  deploy:
+    runs-on: ubuntu-latest
+    environment: 
+      name: production
+    steps:
+      - name: Checkout code
+        uses: actions/checkout@v2
+
+      - name: Configure SSH
+        run: |
+          mkdir -p ~/.ssh/
+          echo "$PROD_SSH_KEY" > ~/.ssh/hubgpt_prod.key
+          chmod 600 ~/.ssh/hubgpt_prod.key
+          cat >>~/.ssh/config <<END
+          Host prod
+            HostName $PROD_EC2_HOST_IP
+            User $PROD_EC2_USER
+            IdentityFile ~/.ssh/hubgpt_prod.key
+            StrictHostKeyChecking no
+          END
+        env:
+          PROD_EC2_USER: ${{ secrets.PROD_EC2_USER }}
+          PROD_SSH_KEY: ${{ secrets.PROD_SSH_KEY }}
+          PROD_EC2_HOST_IP: ${{ secrets.PROD_EC2_HOST_IP }}
+
+      - name: Trigger metric dispatch
+        run: |
+          ssh prod << 'EOF'
+          cd danswer
+          make send-slack-metrics
+          EOF

Makefile

@@ -0,0 +1,22 @@
+re-deploy:
+	cd /home/ec2-user/danswer/ && \
+	git restore .
+	cd /home/ec2-user/danswer/deployment/docker_compose && \
+	echo "Current directory is: $$(pwd)" && \
+	docker compose -p hubgpt down && \
+	git pull origin prod && \
+	docker compose -p hubgpt -f docker-compose.prod.yml up -d --build
+
+send-slack-metrics:
+	docker exec hubgpt-background-1 python /app/scripts/send_slack_report/send_slack_report.py
+
+send-hubgpt-eval:
+	cd /home/ec2-user/danswer/deployment/docker_compose && \
+	docker compose -p hubgpt down && \
+	docker compose -p hubgpt -f docker-compose.analytics.yml up -d --build 
+	sleep 150
+	docker exec hubgpt-background-1 python /app/scripts/hubgpt_eval_automation.py
+	cd /home/ec2-user/danswer/deployment/docker_compose && \
+	docker compose -p hubgpt down && \
+	docker compose -p hubgpt -f docker-compose.prod.yml up -d --build 
+

backend/Dockerfile

@@ -54,6 +54,7 @@ nltk.download('punkt', quiet=True);"
 # Set up application files
 WORKDIR /app
 COPY ./danswer /app/danswer
+COPY ./scripts /app/scripts
 COPY ./shared_configs /app/shared_configs
 COPY ./alembic /app/alembic
 COPY ./alembic.ini /app/alembic.ini

backend/danswer/chat/personas.yaml

@@ -5,7 +5,7 @@ personas:
   # this is for DanswerBot to use when tagged in a non-configured channel
   # Careful setting specific IDs, this won't autoincrement the next ID value for postgres
   - id: 0
-    name: "Danswer"
+    name: "HubGPT"
     description: >
       Assistant with access to documents from your Connected Sources.
     # Default Prompt objects attached to the persona, see prompts.yaml

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

@@ -484,7 +484,6 @@ def _get_answer(new_message_request: DirectQARequest) -> OneShotQAResponse | Non
             "Answer was evaluated to be invalid, throwing it away without responding."
         )
         update_emote_react(
-            emoji=DANSWER_FOLLOWUP_EMOJI,
             channel=message_info.channel_to_respond,
             message_ts=message_info.msg_to_respond,
             remove=False,

backend/danswer/danswerbot/slack/utils.py

@@ -42,7 +42,6 @@
 
 
 def update_emote_react(
-    emoji: str,
     channel: str,
     message_ts: str | None,
     remove: bool,
@@ -54,11 +53,11 @@ def update_emote_react(
 
     func = client.reactions_remove if remove else client.reactions_add
     slack_call = make_slack_api_rate_limited(func)  # type: ignore
-    slack_call(
-        name=emoji,
-        channel=channel,
-        timestamp=message_ts,
-    )
+    # slack_call(
+    #     name=emoji,
+    #     channel=channel,
+    #     timestamp=message_ts,
+    # )
 
 
 def get_danswer_bot_app_id(web_client: WebClient) -> Any:

backend/requirements/default.txt

@@ -24,6 +24,7 @@ httpx[http2]==0.23.3
 httpx-oauth==0.11.2
 huggingface-hub==0.20.1
 jira==3.5.1
+kaleido==0.2.1
 langchain==0.1.17
 langchain-community==0.0.36
 langchain-core==0.1.50
@@ -38,6 +39,7 @@ oauthlib==3.2.2
 openai==1.14.3 
 openpyxl==3.1.2
 playwright==1.41.2
+plotly==5.22.0
 psutil==5.9.5
 psycopg2-binary==2.9.9
 pycryptodome==3.19.1

backend/scripts/api_inference_sample.py

@@ -1,5 +1,5 @@
 # This file is used to demonstrate how to use the backend APIs directly
-# In this case, the equivalent of asking a question in HubGPT Chat in a new chat session
+# In this case, the equivalent of asking a question in Danswer Chat in a new chat session
 import argparse
 import json
 import os
@@ -67,7 +67,7 @@ def process_question(danswer_url: str, question: str, api_key: str | None) -> No
         "--danswer-url",
         type=str,
         default="http://localhost:80",
-        help="HubGPT URL, should point to HubGPT nginx.",
+        help="Danswer URL, should point to Danswer nginx.",
     )
     parser.add_argument(
         "--test-question",
@@ -77,7 +77,7 @@ def process_question(danswer_url: str, question: str, api_key: str | None) -> No
     )
 
     # Not needed if Auth is disabled
-    # Or for HubGPT MIT API key must be replaced with session cookie
+    # Or for Danswer MIT API key must be replaced with session cookie
     api_key = os.environ.get("DANSWER_API_KEY")
 
     args = parser.parse_args()

backend/scripts/dev_run_background_jobs.py

@@ -49,6 +49,8 @@ def run_jobs(exclude_indexing: bool) -> None:
     if not exclude_indexing:
         update_env = os.environ.copy()
         update_env["PYTHONPATH"] = "."
+        update_env["DYNAMIC_CONFIG_DIR_PATH"] = "./dynamic_config_storage"
+        update_env["FILE_CONNECTOR_TMP_STORAGE_PATH"] = "./dynamic_config_storage"
         cmd_indexing = ["python", "danswer/background/update.py"]
 
         indexing_process = subprocess.Popen(

backend/scripts/hubgpt_eval.csv

@@ -0,0 +1,61 @@
+Category,Query
+Projects,What is project sampoorna?
+Projects,What is ask a metric?
+Policies,What is the referral bonus given for recommending new hires? How does the bonus amount change with seniority of the open role?
+Policies,Explain the global travel benefit given to IDinsight employees?
+Policies,What is the eligibility for the wellness stipend?
+Policies,What are the wellness days for 2024?
+Resources,Where can I find resources for project management at IDinsight?
+Policies,What are the most updated steps needed for an Ethics Review?
+Resources,What are the guidelines to writing a blog for IDinsight?
+Teams,Who do I reach out to about Legal questions for a new project?
+Projects,Give me the summary of our most recently completed MELA project
+Teams,Who are the chief of staffs for each region of IDinsight?
+Resources,Where can I find resources on government partnerships?
+Policies,what does “open item” on U4 mean?
+Projects,What work have we done in evaluating mhealth or digital interventions
+Projects,Share a process evaluation education concept note example
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+Policies,"What is the policy for hiring someone who is a partner, friend or family member"
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+Projects,"What was the most recent MLE project IDinsight completed?
+> Can you share the link to its project folder?"
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+> Can you share the link to its project folder?
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+Resources,Can you share guidelines on collaborating with the technical team?
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