k

.github/actions/custom-build-and-push/action.yml

@@ -1,76 +0,0 @@
-name: 'Build and Push Docker Image with Retry'
-description: 'Attempts to build and push a Docker image, with a retry on failure'
-inputs:
-  context:
-    description: 'Build context'
-    required: true
-  file:
-    description: 'Dockerfile location'
-    required: true
-  platforms:
-    description: 'Target platforms'
-    required: true
-  pull:
-    description: 'Always attempt to pull a newer version of the image'
-    required: false
-    default: 'true'
-  push:
-    description: 'Push the image to registry'
-    required: false
-    default: 'true'
-  load:
-    description: 'Load the image into Docker daemon'
-    required: false
-    default: 'true'
-  tags:
-    description: 'Image tags'
-    required: true
-  cache-from:
-    description: 'Cache sources'
-    required: false
-  cache-to:
-    description: 'Cache destinations'
-    required: false
-  retry-wait-time:
-    description: 'Time to wait before retry in seconds'
-    required: false
-    default: '5'
-
-runs:
-  using: "composite"
-  steps:
-    - name: Build and push Docker image (First Attempt)
-      id: buildx1
-      uses: docker/build-push-action@v5
-      continue-on-error: true
-      with:
-        context: ${{ inputs.context }}
-        file: ${{ inputs.file }}
-        platforms: ${{ inputs.platforms }}
-        pull: ${{ inputs.pull }}
-        push: ${{ inputs.push }}
-        load: ${{ inputs.load }}
-        tags: ${{ inputs.tags }}
-        cache-from: ${{ inputs.cache-from }}
-        cache-to: ${{ inputs.cache-to }}
-
-    - name: Wait to retry
-      if: steps.buildx1.outcome != 'success'
-      run: |
-        echo "First attempt failed. Waiting ${{ inputs.retry-wait-time }} seconds before retry..."
-        sleep ${{ inputs.retry-wait-time }}
-      shell: bash
-
-    - name: Build and push Docker image (Retry Attempt)
-      if: steps.buildx1.outcome != 'success'
-      uses: docker/build-push-action@v5
-      with:
-        context: ${{ inputs.context }}
-        file: ${{ inputs.file }}
-        platforms: ${{ inputs.platforms }}
-        pull: ${{ inputs.pull }}
-        push: ${{ inputs.push }}
-        load: ${{ inputs.load }}
-        tags: ${{ inputs.tags }}
-        cache-from: ${{ inputs.cache-from }}
-        cache-to: ${{ inputs.cache-to }}

.github/pull_request_template.md

@@ -1,25 +0,0 @@
-## Description
-[Provide a brief description of the changes in this PR]
-
-
-## How Has This Been Tested?
-[Describe the tests you ran to verify your changes]
-
-
-## Accepted Risk
-[Any know risks or failure modes to point out to reviewers]
-
-
-## Related Issue(s)
-[If applicable, link to the issue(s) this PR addresses]
-
-
-## Checklist:
-- [ ] All of the automated tests pass
-- [ ] All PR comments are addressed and marked resolved
-- [ ] If there are migrations, they have been rebased to latest main
-- [ ] If there are new dependencies, they are added to the requirements
-- [ ] If there are new environment variables, they are added to all of the deployment methods
-- [ ] If there are new APIs that don't require auth, they are added to PUBLIC_ENDPOINT_SPECS
-- [ ] Docker images build and basic functionalities work
-- [ ] Author has done a final read through of the PR right before merge

.github/workflows/docker-build-backend-container-on-merge-group.yml

@@ -0,0 +1,33 @@
+name: Build Backend Image on Merge Group
+
+on:
+  merge_group:
+    types: [checks_requested]
+
+env:
+  REGISTRY_IMAGE: danswer/danswer-backend
+
+jobs:
+  build:
+    # TODO: make this a matrix build like the web containers
+    runs-on: 
+      group: amd64-image-builders
+      
+    steps:
+    - name: Checkout code
+      uses: actions/checkout@v2
+
+    - name: Set up Docker Buildx
+      uses: docker/setup-buildx-action@v3
+
+    - name: Backend Image Docker Build
+      uses: docker/build-push-action@v5
+      with:
+        context: ./backend
+        file: ./backend/Dockerfile
+        platforms: linux/amd64,linux/arm64
+        push: false
+        tags: |
+          ${{ env.REGISTRY_IMAGE }}:latest
+        build-args: |
+          DANSWER_VERSION=v0.0.1

.github/workflows/docker-build-push-backend-container-on-tag.yml

@@ -7,17 +7,16 @@ on:
 
 env:
   REGISTRY_IMAGE: danswer/danswer-backend
-  LATEST_TAG: ${{ contains(github.ref_name, 'latest') }}
-  
+
 jobs:
   build-and-push:
-    # TODO: investigate a matrix build like the web container 
-    # See https://runs-on.com/runners/linux/
-    runs-on: [runs-on,runner=8cpu-linux-x64,"run-id=${{ github.run_id }}"]
+    # TODO: make this a matrix build like the web containers
+    runs-on: 
+      group: amd64-image-builders
 
     steps:
     - name: Checkout code
-      uses: actions/checkout@v4
+      uses: actions/checkout@v2
 
     - name: Set up Docker Buildx
       uses: docker/setup-buildx-action@v3
@@ -28,11 +27,6 @@ jobs:
         username: ${{ secrets.DOCKER_USERNAME }}
         password: ${{ secrets.DOCKER_TOKEN }}
 
-    - name: Install build-essential
-      run: |
-        sudo apt-get update
-        sudo apt-get install -y build-essential
-          
     - name: Backend Image Docker Build and Push
       uses: docker/build-push-action@v5
       with:
@@ -42,20 +36,12 @@ jobs:
         push: true
         tags: |
           ${{ env.REGISTRY_IMAGE }}:${{ github.ref_name }}
-          ${{ env.LATEST_TAG == 'true' && format('{0}:latest', env.REGISTRY_IMAGE) || '' }}
+          ${{ env.REGISTRY_IMAGE }}:latest
         build-args: |
           DANSWER_VERSION=${{ github.ref_name }}
 
-    # trivy has their own rate limiting issues causing this action to flake
-    # we worked around it by hardcoding to different db repos in env
-    # can re-enable when they figure it out
-    # https://github.com/aquasecurity/trivy/discussions/7538
-    # https://github.com/aquasecurity/trivy-action/issues/389
     - name: Run Trivy vulnerability scanner
       uses: aquasecurity/trivy-action@master
-      env:
-        TRIVY_DB_REPOSITORY: 'public.ecr.aws/aquasecurity/trivy-db:2'
-        TRIVY_JAVA_DB_REPOSITORY: 'public.ecr.aws/aquasecurity/trivy-java-db:1'
       with:
         # To run locally: trivy image --severity HIGH,CRITICAL danswer/danswer-backend
         image-ref: docker.io/${{ env.REGISTRY_IMAGE }}:${{ github.ref_name }}

.github/workflows/docker-build-push-model-server-container-on-tag.yml

@@ -5,18 +5,13 @@ on:
     tags:
       - '*'
 
-env:
-  REGISTRY_IMAGE: danswer/danswer-model-server
-  LATEST_TAG: ${{ contains(github.ref_name, 'latest') }}
-  
 jobs:
   build-and-push:
-    # See https://runs-on.com/runners/linux/
-    runs-on: [runs-on,runner=8cpu-linux-x64,"run-id=${{ github.run_id }}"]
+    runs-on: ubuntu-latest
 
     steps:
     - name: Checkout code
-      uses: actions/checkout@v4
+      uses: actions/checkout@v2
 
     - name: Set up Docker Buildx
       uses: docker/setup-buildx-action@v3
@@ -35,21 +30,13 @@ jobs:
         platforms: linux/amd64,linux/arm64
         push: true
         tags: |
-          ${{ env.REGISTRY_IMAGE }}:${{ github.ref_name }}
-          ${{ env.LATEST_TAG == 'true' && format('{0}:latest', env.REGISTRY_IMAGE) || '' }}
+          danswer/danswer-model-server:${{ github.ref_name }}
+          danswer/danswer-model-server:latest
         build-args: |
           DANSWER_VERSION=${{ github.ref_name }}
 
-    # trivy has their own rate limiting issues causing this action to flake
-    # we worked around it by hardcoding to different db repos in env
-    # can re-enable when they figure it out
-    # https://github.com/aquasecurity/trivy/discussions/7538
-    # https://github.com/aquasecurity/trivy-action/issues/389
     - name: Run Trivy vulnerability scanner
       uses: aquasecurity/trivy-action@master
-      env:
-        TRIVY_DB_REPOSITORY: 'public.ecr.aws/aquasecurity/trivy-db:2'
-        TRIVY_JAVA_DB_REPOSITORY: 'public.ecr.aws/aquasecurity/trivy-java-db:1'
       with:
         image-ref: docker.io/danswer/danswer-model-server:${{ github.ref_name }}
         severity: 'CRITICAL,HIGH'

.github/workflows/docker-build-push-web-container-on-tag.yml

@@ -7,8 +7,7 @@ on:
 
 env:
   REGISTRY_IMAGE: danswer/danswer-web-server
-  LATEST_TAG: ${{ contains(github.ref_name, 'latest') }}
-  
+
 jobs:
   build:
     runs-on: 
@@ -36,7 +35,7 @@ jobs:
           images: ${{ env.REGISTRY_IMAGE }}
           tags: |
             type=raw,value=${{ env.REGISTRY_IMAGE }}:${{ github.ref_name }}
-            type=raw,value=${{ env.LATEST_TAG == 'true' && format('{0}:latest', env.REGISTRY_IMAGE) || '' }}
+            type=raw,value=${{ env.REGISTRY_IMAGE }}:latest
       
       - name: Set up Docker Buildx
         uses: docker/setup-buildx-action@v3
@@ -113,16 +112,8 @@ jobs:
         run: |
           docker buildx imagetools inspect ${{ env.REGISTRY_IMAGE }}:${{ steps.meta.outputs.version }}
 
-    # trivy has their own rate limiting issues causing this action to flake
-    # we worked around it by hardcoding to different db repos in env
-    # can re-enable when they figure it out
-    # https://github.com/aquasecurity/trivy/discussions/7538
-    # https://github.com/aquasecurity/trivy-action/issues/389
       - name: Run Trivy vulnerability scanner
         uses: aquasecurity/trivy-action@master
-        env:
-          TRIVY_DB_REPOSITORY: 'public.ecr.aws/aquasecurity/trivy-db:2'
-          TRIVY_JAVA_DB_REPOSITORY: 'public.ecr.aws/aquasecurity/trivy-java-db:1'
         with:
           image-ref: docker.io/${{ env.REGISTRY_IMAGE }}:${{ github.ref_name }}
           severity: 'CRITICAL,HIGH'

.github/workflows/docker-build-web-container-on-merge-group.yml

@@ -0,0 +1,53 @@
+name: Build Web Image on Merge Group
+
+on:
+  merge_group:
+    types: [checks_requested]
+
+env:
+  REGISTRY_IMAGE: danswer/danswer-web-server
+
+jobs:
+  build:
+    runs-on: 
+      group: ${{ matrix.platform == 'linux/amd64' && 'amd64-image-builders' || 'arm64-image-builders' }}
+    strategy:
+      fail-fast: false
+      matrix:
+        platform:
+          - linux/amd64
+          - linux/arm64
+
+    steps:
+      - name: Prepare
+        run: |
+          platform=${{ matrix.platform }}
+          echo "PLATFORM_PAIR=${platform//\//-}" >> $GITHUB_ENV          
+      
+      - name: Checkout
+        uses: actions/checkout@v4
+      
+      - name: Docker meta
+        id: meta
+        uses: docker/metadata-action@v5
+        with:
+          images: ${{ env.REGISTRY_IMAGE }}
+          tags: |
+            type=raw,value=${{ env.REGISTRY_IMAGE }}:latest
+      
+      - name: Set up Docker Buildx
+        uses: docker/setup-buildx-action@v3
+    
+      - name: Build by digest
+        id: build
+        uses: docker/build-push-action@v5
+        with:
+          context: ./web
+          file: ./web/Dockerfile
+          platforms: ${{ matrix.platform }}
+          push: false
+          build-args: |
+            DANSWER_VERSION=v0.0.1
+          # needed due to weird interactions with the builds for different platforms  
+          no-cache: true
+          labels: ${{ steps.meta.outputs.labels }}

.github/workflows/docker-tag-latest.yml

@@ -1,6 +1,3 @@
-# This workflow is set up to be manually triggered via the GitHub Action tab.
-# Given a version, it will tag those backend and webserver images as "latest".
-
 name: Tag Latest Version
 
 on:
@@ -12,9 +9,7 @@ on:
 
 jobs:
   tag:
-    # See https://runs-on.com/runners/linux/
-    # use a lower powered instance since this just does i/o to docker hub
-    runs-on: [runs-on,runner=2cpu-linux-x64,"run-id=${{ github.run_id }}"]
+    runs-on: ubuntu-latest
     steps:
     - name: Set up Docker Buildx
       uses: docker/setup-buildx-action@v1

.github/workflows/pr-Integration-tests.yml

@@ -1,178 +0,0 @@
-name: Run Integration Tests v2
-concurrency:
-  group: Run-Integration-Tests-${{ github.workflow }}-${{ github.head_ref || github.event.workflow_run.head_branch || github.run_id }}
-  cancel-in-progress: true
-
-on:
-  merge_group:
-  pull_request:
-    branches:
-      - main
-      - 'release/**'
-
-env:
-  OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }}
-  SLACK_BOT_TOKEN: ${{ secrets.SLACK_BOT_TOKEN }}
-
-jobs:
-  integration-tests:
-    # See https://runs-on.com/runners/linux/
-    runs-on: [runs-on,runner=8cpu-linux-x64,ram=16,"run-id=${{ github.run_id }}"]
-    steps:
-      - name: Checkout code
-        uses: actions/checkout@v4
-
-      - name: Set up Docker Buildx
-        uses: docker/setup-buildx-action@v3
-
-      - name: Login to Docker Hub
-        uses: docker/login-action@v3
-        with:
-          username: ${{ secrets.DOCKER_USERNAME }}
-          password: ${{ secrets.DOCKER_TOKEN }}
-
-      # tag every docker image with "test" so that we can spin up the correct set
-      # of images during testing
-      
-      # We don't need to build the Web Docker image since it's not yet used
-      # in the integration tests. We have a separate action to verify that it builds 
-      # successfully.
-      - name: Pull Web Docker image
-        run: |
-          docker pull danswer/danswer-web-server:latest
-          docker tag danswer/danswer-web-server:latest danswer/danswer-web-server:test
-
-      # we use the runs-on cache for docker builds
-      # in conjunction with runs-on runners, it has better speed and unlimited caching
-      # https://runs-on.com/caching/s3-cache-for-github-actions/
-      # https://runs-on.com/caching/docker/
-      # https://github.com/moby/buildkit#s3-cache-experimental
-      
-      # images are built and run locally for testing purposes. Not pushed.
-      - name: Build Backend Docker image
-        uses: ./.github/actions/custom-build-and-push
-        with:
-          context: ./backend
-          file: ./backend/Dockerfile
-          platforms: linux/amd64
-          tags: danswer/danswer-backend:test
-          push: false
-          load: true
-          cache-from: type=s3,prefix=cache/${{ github.repository }}/integration-tests/backend/,region=${{ env.RUNS_ON_AWS_REGION }},bucket=${{ env.RUNS_ON_S3_BUCKET_CACHE }}
-          cache-to: type=s3,prefix=cache/${{ github.repository }}/integration-tests/backend/,region=${{ env.RUNS_ON_AWS_REGION }},bucket=${{ env.RUNS_ON_S3_BUCKET_CACHE }},mode=max
-
-      - name: Build Model Server Docker image
-        uses: ./.github/actions/custom-build-and-push
-        with:
-          context: ./backend
-          file: ./backend/Dockerfile.model_server
-          platforms: linux/amd64
-          tags: danswer/danswer-model-server:test
-          push: false
-          load: true
-          cache-from: type=s3,prefix=cache/${{ github.repository }}/integration-tests/model-server/,region=${{ env.RUNS_ON_AWS_REGION }},bucket=${{ env.RUNS_ON_S3_BUCKET_CACHE }}
-          cache-to: type=s3,prefix=cache/${{ github.repository }}/integration-tests/model-server/,region=${{ env.RUNS_ON_AWS_REGION }},bucket=${{ env.RUNS_ON_S3_BUCKET_CACHE }},mode=max
-
-      - name: Build integration test Docker image
-        uses: ./.github/actions/custom-build-and-push
-        with:
-          context: ./backend
-          file: ./backend/tests/integration/Dockerfile
-          platforms: linux/amd64
-          tags: danswer/danswer-integration:test
-          push: false
-          load: true
-          cache-from: type=s3,prefix=cache/${{ github.repository }}/integration-tests/integration/,region=${{ env.RUNS_ON_AWS_REGION }},bucket=${{ env.RUNS_ON_S3_BUCKET_CACHE }}
-          cache-to: type=s3,prefix=cache/${{ github.repository }}/integration-tests/integration/,region=${{ env.RUNS_ON_AWS_REGION }},bucket=${{ env.RUNS_ON_S3_BUCKET_CACHE }},mode=max
-
-      - name: Start Docker containers
-        run: |
-          cd deployment/docker_compose
-          ENABLE_PAID_ENTERPRISE_EDITION_FEATURES=true \
-          AUTH_TYPE=basic \
-          REQUIRE_EMAIL_VERIFICATION=false \
-          DISABLE_TELEMETRY=true \
-          IMAGE_TAG=test \
-          docker compose -f docker-compose.dev.yml -p danswer-stack up -d
-        id: start_docker
-
-      - name: Wait for service to be ready
-        run: |
-          echo "Starting wait-for-service script..."
-          
-          docker logs -f danswer-stack-api_server-1 &
-
-          start_time=$(date +%s)
-          timeout=300  # 5 minutes in seconds
-          
-          while true; do
-            current_time=$(date +%s)
-            elapsed_time=$((current_time - start_time))
-            
-            if [ $elapsed_time -ge $timeout ]; then
-              echo "Timeout reached. Service did not become ready in 5 minutes."
-              exit 1
-            fi
-            
-            # Use curl with error handling to ignore specific exit code 56
-            response=$(curl -s -o /dev/null -w "%{http_code}" http://localhost:8080/health || echo "curl_error")
-            
-            if [ "$response" = "200" ]; then
-              echo "Service is ready!"
-              break
-            elif [ "$response" = "curl_error" ]; then
-              echo "Curl encountered an error, possibly exit code 56. Continuing to retry..."
-            else
-              echo "Service not ready yet (HTTP status $response). Retrying in 5 seconds..."
-            fi
-            
-            sleep 5
-          done
-          echo "Finished waiting for service."
-
-      - name: Run integration tests
-        run: |
-          echo "Running integration tests..."
-          docker run --rm --network danswer-stack_default \
-            --name test-runner \
-            -e POSTGRES_HOST=relational_db \
-            -e POSTGRES_USER=postgres \
-            -e POSTGRES_PASSWORD=password \
-            -e POSTGRES_DB=postgres \
-            -e VESPA_HOST=index \
-            -e REDIS_HOST=cache \
-            -e API_SERVER_HOST=api_server \
-            -e OPENAI_API_KEY=${OPENAI_API_KEY} \
-            -e SLACK_BOT_TOKEN=${SLACK_BOT_TOKEN} \
-            -e TEST_WEB_HOSTNAME=test-runner \
-            danswer/danswer-integration:test
-        continue-on-error: true
-        id: run_tests
-
-      - name: Check test results
-        run: |
-          if [ ${{ steps.run_tests.outcome }} == 'failure' ]; then
-            echo "Integration tests failed. Exiting with error."
-            exit 1
-          else
-            echo "All integration tests passed successfully."
-          fi
-
-      - name: Save Docker logs
-        if: success() || failure()
-        run: |
-          cd deployment/docker_compose
-          docker compose -f docker-compose.dev.yml -p danswer-stack logs > docker-compose.log
-          mv docker-compose.log ${{ github.workspace }}/docker-compose.log
-      
-      - name: Upload logs
-        if: success() || failure()
-        uses: actions/upload-artifact@v3
-        with:
-          name: docker-logs
-          path: ${{ github.workspace }}/docker-compose.log
-
-      - name: Stop Docker containers
-        run: |
-          cd deployment/docker_compose
-          docker compose -f docker-compose.dev.yml -p danswer-stack down -v

.github/workflows/pr-helm-chart-testing.yml.disabled.txt

@@ -1,68 +0,0 @@
-# This workflow is intentionally disabled while we're still working on it
-# It's close to ready, but a race condition needs to be fixed with
-# API server and Vespa startup, and it needs to have a way to build/test against
-# local containers
-
-name: Helm - Lint and Test Charts
-
-on:
-  merge_group:
-  pull_request:
-    branches: [ main ]
-
-jobs:
-  lint-test:
-    # See https://runs-on.com/runners/linux/
-    runs-on: [runs-on,runner=8cpu-linux-x64,hdd=256,"run-id=${{ github.run_id }}"]
-
-    # fetch-depth 0 is required for helm/chart-testing-action
-    steps:
-    - name: Checkout code
-      uses: actions/checkout@v3
-      with:
-        fetch-depth: 0
-        
-    - name: Set up Helm
-      uses: azure/setup-helm@v4.2.0
-      with:
-        version: v3.14.4
-      
-    - name: Set up Python
-      uses: actions/setup-python@v4
-      with:
-        python-version: '3.11'
-        cache: 'pip'
-        cache-dependency-path: |
-          backend/requirements/default.txt
-          backend/requirements/dev.txt
-          backend/requirements/model_server.txt
-    - run: |
-        python -m pip install --upgrade pip
-        pip install --retries 5 --timeout 30 -r backend/requirements/default.txt
-        pip install --retries 5 --timeout 30 -r backend/requirements/dev.txt
-        pip install --retries 5 --timeout 30 -r backend/requirements/model_server.txt
-
-    - name: Set up chart-testing
-      uses: helm/chart-testing-action@v2.6.1
-
-    - name: Run chart-testing (list-changed)
-      id: list-changed
-      run: |
-        changed=$(ct list-changed --target-branch ${{ github.event.repository.default_branch }})
-        if [[ -n "$changed" ]]; then
-          echo "changed=true" >> "$GITHUB_OUTPUT"
-        fi
-
-    - name: Run chart-testing (lint)
-#       if: steps.list-changed.outputs.changed == 'true'
-      run: ct lint --all --config ct.yaml --target-branch ${{ github.event.repository.default_branch }}
-
-    - name: Create kind cluster
-#       if: steps.list-changed.outputs.changed == 'true'
-      uses: helm/kind-action@v1.10.0
-
-    - name: Run chart-testing (install)
-#       if: steps.list-changed.outputs.changed == 'true'
-      run: ct install --all --config ct.yaml
-#       run: ct install --target-branch ${{ github.event.repository.default_branch }}
-      

.github/workflows/pr-python-checks.yml

@@ -1,16 +1,12 @@
 name: Python Checks
 
 on:
-  merge_group:
   pull_request:
-    branches:
-      - main
-      - 'release/**'
+    branches: [ main ]
 
 jobs:
   mypy-check:
-    # See https://runs-on.com/runners/linux/
-    runs-on: [runs-on,runner=8cpu-linux-x64,"run-id=${{ github.run_id }}"]
+    runs-on: ubuntu-latest
 
     steps:
     - name: Checkout code
@@ -27,9 +23,9 @@ jobs:
           backend/requirements/model_server.txt
     - run: |
         python -m pip install --upgrade pip
-        pip install --retries 5 --timeout 30 -r backend/requirements/default.txt
-        pip install --retries 5 --timeout 30 -r backend/requirements/dev.txt
-        pip install --retries 5 --timeout 30 -r backend/requirements/model_server.txt
+        pip install -r backend/requirements/default.txt
+        pip install -r backend/requirements/dev.txt
+        pip install -r backend/requirements/model_server.txt
 
     - name: Run MyPy
       run: |

.github/workflows/pr-python-connector-tests.yml

@@ -1,61 +0,0 @@
-name: Connector Tests
-
-on:
-  pull_request:
-    branches: [main]
-  schedule:
-    # This cron expression runs the job daily at 16:00 UTC (9am PT)
-    - cron: "0 16 * * *"
-
-env:
-  # Confluence
-  CONFLUENCE_TEST_SPACE_URL: ${{ secrets.CONFLUENCE_TEST_SPACE_URL }}
-  CONFLUENCE_TEST_SPACE: ${{ secrets.CONFLUENCE_TEST_SPACE }}
-  CONFLUENCE_IS_CLOUD: ${{ secrets.CONFLUENCE_IS_CLOUD }}
-  CONFLUENCE_TEST_PAGE_ID: ${{ secrets.CONFLUENCE_TEST_PAGE_ID }}
-  CONFLUENCE_USER_NAME: ${{ secrets.CONFLUENCE_USER_NAME }}
-  CONFLUENCE_ACCESS_TOKEN: ${{ secrets.CONFLUENCE_ACCESS_TOKEN }}
-  # Jira
-  JIRA_USER_EMAIL: ${{ secrets.JIRA_USER_EMAIL }}
-  JIRA_API_TOKEN: ${{ secrets.JIRA_API_TOKEN }}
-
-jobs:
-  connectors-check:
-    # See https://runs-on.com/runners/linux/
-    runs-on: [runs-on,runner=8cpu-linux-x64,"run-id=${{ github.run_id }}"]
-
-    env:
-      PYTHONPATH: ./backend
-
-    steps:
-      - name: Checkout code
-        uses: actions/checkout@v4
-
-      - name: Set up Python
-        uses: actions/setup-python@v4
-        with:
-          python-version: "3.11"
-          cache: "pip"
-          cache-dependency-path: |
-            backend/requirements/default.txt
-            backend/requirements/dev.txt
-
-      - name: Install Dependencies
-        run: |
-          python -m pip install --upgrade pip
-          pip install --retries 5 --timeout 30 -r backend/requirements/default.txt
-          pip install --retries 5 --timeout 30 -r backend/requirements/dev.txt
-
-      - name: Run Tests
-        shell: script -q -e -c "bash --noprofile --norc -eo pipefail {0}"
-        run: py.test -o junit_family=xunit2 -xv --ff backend/tests/daily/connectors
-
-      - name: Alert on Failure
-        if: failure() && github.event_name == 'schedule'
-        env:
-          SLACK_WEBHOOK: ${{ secrets.SLACK_WEBHOOK }}
-        run: |
-          curl -X POST \
-            -H 'Content-type: application/json' \
-            --data '{"text":"Scheduled Connector Tests failed! Check the run at: https://github.com/${{ github.repository }}/actions/runs/${{ github.run_id }}"}' \
-            $SLACK_WEBHOOK

.github/workflows/pr-python-model-tests.yml

@@ -1,58 +0,0 @@
-name: Connector Tests
-
-on:
-  schedule:
-    # This cron expression runs the job daily at 16:00 UTC (9am PT)
-    - cron: "0 16 * * *"
-
-env:
-  # Bedrock
-  AWS_ACCESS_KEY_ID: ${{ secrets.AWS_ACCESS_KEY_ID }}
-  AWS_SECRET_ACCESS_KEY: ${{ secrets.AWS_SECRET_ACCESS_KEY }}
-  AWS_REGION_NAME: ${{ secrets.AWS_REGION_NAME }}
-
-  # OpenAI
-  OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }}
-
-jobs:
-  connectors-check:
-    # See https://runs-on.com/runners/linux/
-    runs-on: [runs-on,runner=8cpu-linux-x64,"run-id=${{ github.run_id }}"]
-
-    env:
-      PYTHONPATH: ./backend
-
-    steps:
-      - name: Checkout code
-        uses: actions/checkout@v4
-
-      - name: Set up Python
-        uses: actions/setup-python@v4
-        with:
-          python-version: "3.11"
-          cache: "pip"
-          cache-dependency-path: |
-            backend/requirements/default.txt
-            backend/requirements/dev.txt
-
-      - name: Install Dependencies
-        run: |
-          python -m pip install --upgrade pip
-          pip install --retries 5 --timeout 30 -r backend/requirements/default.txt
-          pip install --retries 5 --timeout 30 -r backend/requirements/dev.txt
-
-      - name: Run Tests
-        shell: script -q -e -c "bash --noprofile --norc -eo pipefail {0}"
-        run: |
-          py.test -o junit_family=xunit2 -xv --ff backend/tests/daily/llm
-          py.test -o junit_family=xunit2 -xv --ff backend/tests/daily/embedding
-
-      - name: Alert on Failure
-        if: failure() && github.event_name == 'schedule'
-        env:
-          SLACK_WEBHOOK: ${{ secrets.SLACK_WEBHOOK }}
-        run: |
-          curl -X POST \
-            -H 'Content-type: application/json' \
-            --data '{"text":"Scheduled Model Tests failed! Check the run at: https://github.com/${{ github.repository }}/actions/runs/${{ github.run_id }}"}' \
-            $SLACK_WEBHOOK

.github/workflows/pr-python-tests.yml

@@ -1,21 +1,16 @@
 name: Python Unit Tests
 
 on:
-  merge_group:
   pull_request:
-    branches:
-      - main
-      - 'release/**'
+    branches: [ main ]
 
 jobs:
   backend-check:
-    # See https://runs-on.com/runners/linux/
-    runs-on: [runs-on,runner=8cpu-linux-x64,"run-id=${{ github.run_id }}"]
+    runs-on: ubuntu-latest
 
     env:
       PYTHONPATH: ./backend
-      REDIS_CLOUD_PYTEST_PASSWORD: ${{ secrets.REDIS_CLOUD_PYTEST_PASSWORD }}
-      
+
     steps:
     - name: Checkout code
       uses: actions/checkout@v4
@@ -32,8 +27,8 @@ jobs:
     - name: Install Dependencies
       run: |
         python -m pip install --upgrade pip
-        pip install --retries 5 --timeout 30 -r backend/requirements/default.txt
-        pip install --retries 5 --timeout 30 -r backend/requirements/dev.txt
+        pip install -r backend/requirements/default.txt
+        pip install -r backend/requirements/dev.txt
 
     - name: Run Tests
       shell: script -q -e -c "bash --noprofile --norc -eo pipefail {0}"

.github/workflows/pr-quality-checks.yml

@@ -1,23 +1,21 @@
 name: Quality Checks PR
 concurrency:
-  group: Quality-Checks-PR-${{ github.workflow }}-${{ github.head_ref || github.event.workflow_run.head_branch || github.run_id }}
+  group: Quality-Checks-PR-${{ github.head_ref }}
   cancel-in-progress: true
 
 on:
-  merge_group:
   pull_request: null
 
 jobs:
   quality-checks:
-    # See https://runs-on.com/runners/linux/
-    runs-on: [runs-on,runner=8cpu-linux-x64,"run-id=${{ github.run_id }}"]
+    runs-on: ubuntu-latest
     steps:
-      - uses: actions/checkout@v4
-        with:
-          fetch-depth: 0
-      - uses: actions/setup-python@v5
-        with:
-          python-version: "3.11"
-      - uses: pre-commit/action@v3.0.0
-        with:
-          extra_args: ${{ github.event_name == 'pull_request' && format('--from-ref {0} --to-ref {1}', github.event.pull_request.base.sha, github.event.pull_request.head.sha) || '' }}
+    - uses: actions/checkout@v4
+      with:
+        fetch-depth: 0
+    - uses: actions/setup-python@v5
+      with:
+        python-version: '3.11'
+    - uses: pre-commit/action@v3.0.0
+      with:
+        extra_args: --from-ref ${{ github.event.pull_request.base.sha }} --to-ref ${{ github.event.pull_request.head.sha }}

.github/workflows/tag-nightly.yml

@@ -1,54 +0,0 @@
-name: Nightly Tag Push
-
-on:
-  schedule:
-    - cron: '0 10 * * *' # Runs every day at 2 AM PST / 3 AM PDT / 10 AM UTC
-
-permissions:
-  contents: write  # Allows pushing tags to the repository
-
-jobs:
-  create-and-push-tag:
-    runs-on: [runs-on,runner=2cpu-linux-x64,"run-id=${{ github.run_id }}"]
-
-    steps:
-    # actions using GITHUB_TOKEN cannot trigger another workflow, but we do want this to trigger docker pushes
-    # see https://github.com/orgs/community/discussions/27028#discussioncomment-3254367 for the workaround we
-    # implement here which needs an actual user's deploy key
-    - name: Checkout code
-      uses: actions/checkout@v4
-      with:
-        ssh-key: "${{ secrets.RKUO_DEPLOY_KEY }}"
-
-    - name: Set up Git user
-      run: |
-        git config user.name "Richard Kuo [bot]"
-        git config user.email "rkuo[bot]@danswer.ai"
-
-    - name: Check for existing nightly tag
-      id: check_tag
-      run: |
-        if git tag --points-at HEAD --list "nightly-latest*" | grep -q .; then
-          echo "A tag starting with 'nightly-latest' already exists on HEAD."
-          echo "tag_exists=true" >> $GITHUB_OUTPUT
-        else
-          echo "No tag starting with 'nightly-latest' exists on HEAD."
-          echo "tag_exists=false" >> $GITHUB_OUTPUT
-        fi
-        
-    # don't tag again if HEAD already has a nightly-latest tag on it
-    - name: Create Nightly Tag
-      if: steps.check_tag.outputs.tag_exists == 'false'
-      env:
-        DATE: ${{ github.run_id }}
-      run: |
-        TAG_NAME="nightly-latest-$(date +'%Y%m%d')"
-        echo "Creating tag: $TAG_NAME"
-        git tag $TAG_NAME
-
-    - name: Push Tag
-      if: steps.check_tag.outputs.tag_exists == 'false'
-      run: |
-        TAG_NAME="nightly-latest-$(date +'%Y%m%d')"
-        git push origin $TAG_NAME
-        

.gitignore

@@ -4,6 +4,6 @@
 .mypy_cache
 .idea
 /deployment/data/nginx/app.conf
-.vscode/
+.vscode/launch.json
 *.sw?
 /backend/tests/regression/answer_quality/search_test_config.yaml

.prettierignore

@@ -1 +0,0 @@
-backend/tests/integration/tests/pruning/website

.vscode/env_template.txt

@@ -1,5 +1,5 @@
-# Copy this file to .env in the .vscode folder
-# Fill in the <REPLACE THIS> values as needed, it is recommended to set the GEN_AI_API_KEY value to avoid having to set up an LLM in the UI
+# Copy this file to .env at the base of the repo and fill in the <REPLACE THIS> values
+# This will help with development iteration speed and reduce repeat tasks for dev
 # Also check out danswer/backend/scripts/restart_containers.sh for a script to restart the containers which Danswer relies on outside of VSCode/Cursor processes
 
 # For local dev, often user Authentication is not needed
@@ -15,7 +15,7 @@ LOG_LEVEL=debug
 
 # This passes top N results to LLM an additional time for reranking prior to answer generation
 # This step is quite heavy on token usage so we disable it for dev generally
-DISABLE_LLM_DOC_RELEVANCE=False
+DISABLE_LLM_CHUNK_FILTER=True
 
 
 # Useful if you want to toggle auth on/off (google_oauth/OIDC specifically)
@@ -27,9 +27,9 @@ REQUIRE_EMAIL_VERIFICATION=False
 
 # Set these so if you wipe the DB, you don't end up having to go through the UI every time
 GEN_AI_API_KEY=<REPLACE THIS>
-# If answer quality isn't important for dev, use gpt-4o-mini since it's cheaper
-GEN_AI_MODEL_VERSION=gpt-4o
-FAST_GEN_AI_MODEL_VERSION=gpt-4o
+# If answer quality isn't important for dev, use 3.5 turbo due to it being cheaper
+GEN_AI_MODEL_VERSION=gpt-3.5-turbo
+FAST_GEN_AI_MODEL_VERSION=gpt-3.5-turbo
 
 # For Danswer Slack Bot, overrides the UI values so no need to set this up via UI every time
 # Only needed if using DanswerBot
@@ -38,7 +38,7 @@ FAST_GEN_AI_MODEL_VERSION=gpt-4o
 
 
 # Python stuff
-PYTHONPATH=../backend
+PYTHONPATH=./backend
 PYTHONUNBUFFERED=1
 
 
@@ -49,3 +49,4 @@ BING_API_KEY=<REPLACE THIS>
 # Enable the full set of Danswer Enterprise Edition features
 # NOTE: DO NOT ENABLE THIS UNLESS YOU HAVE A PAID ENTERPRISE LICENSE (or if you are using this for local testing/development)
 ENABLE_PAID_ENTERPRISE_EDITION_FEATURES=False
+

.vscode/launch.template.jsonc

@@ -1,23 +1,15 @@
-/* Copy this file into '.vscode/launch.json' or merge its contents into your existing configurations. */
+/*
+
+  Copy this file into '.vscode/launch.json' or merge its
+  contents into your existing configurations.
+
+*/
 
 {
     // Use IntelliSense to learn about possible attributes.
     // Hover to view descriptions of existing attributes.
     // For more information, visit: https://go.microsoft.com/fwlink/?linkid=830387
     "version": "0.2.0",
-    "compounds": [
-        {
-            "name": "Run All Danswer Services",
-            "configurations": [
-                "Web Server",
-                "Model Server",
-                "API Server",
-                "Indexing",
-                "Background Jobs",
-                "Slack Bot"
-            ]
-        }
-    ],
     "configurations": [
         {
             "name": "Web Server",
@@ -25,7 +17,7 @@
             "request": "launch",
             "cwd": "${workspaceRoot}/web",
             "runtimeExecutable": "npm",
-            "envFile": "${workspaceFolder}/.vscode/.env",
+            "envFile": "${workspaceFolder}/.env",
             "runtimeArgs": [
                 "run", "dev"
             ],
@@ -33,12 +25,11 @@
         },
         {
             "name": "Model Server",
-            "consoleName": "Model Server",
-            "type": "debugpy",
+            "type": "python",
             "request": "launch",
             "module": "uvicorn",
             "cwd": "${workspaceFolder}/backend",
-            "envFile": "${workspaceFolder}/.vscode/.env",
+            "envFile": "${workspaceFolder}/.env",
             "env": {
                 "LOG_LEVEL": "DEBUG",
                 "PYTHONUNBUFFERED": "1"
@@ -52,12 +43,11 @@
         },
         {
             "name": "API Server",
-            "consoleName": "API Server",
-            "type": "debugpy",
+            "type": "python",
             "request": "launch",
             "module": "uvicorn",
             "cwd": "${workspaceFolder}/backend",
-            "envFile": "${workspaceFolder}/.vscode/.env",
+            "envFile": "${workspaceFolder}/.env",
             "env": {
                 "LOG_DANSWER_MODEL_INTERACTIONS": "True",
                 "LOG_LEVEL": "DEBUG",
@@ -72,14 +62,13 @@
         },
         {
             "name": "Indexing",
-            "consoleName": "Indexing",
-            "type": "debugpy",
+            "type": "python",
             "request": "launch",
             "program": "danswer/background/update.py",
             "cwd": "${workspaceFolder}/backend",
-            "envFile": "${workspaceFolder}/.vscode/.env",
+            "envFile": "${workspaceFolder}/.env",
             "env": {
-                "ENABLE_MULTIPASS_INDEXING": "false",
+                "ENABLE_MINI_CHUNK": "false",
                 "LOG_LEVEL": "DEBUG",
                 "PYTHONUNBUFFERED": "1",
                 "PYTHONPATH": "."
@@ -88,12 +77,11 @@
         // Celery and all async jobs, usually would include indexing as well but this is handled separately above for dev
         {
             "name": "Background Jobs",
-            "consoleName": "Background Jobs",
-            "type": "debugpy",
+            "type": "python",
             "request": "launch",
             "program": "scripts/dev_run_background_jobs.py",
             "cwd": "${workspaceFolder}/backend",
-            "envFile": "${workspaceFolder}/.vscode/.env",
+            "envFile": "${workspaceFolder}/.env",
             "env": {
                 "LOG_DANSWER_MODEL_INTERACTIONS": "True",
                 "LOG_LEVEL": "DEBUG",
@@ -108,12 +96,11 @@
         // DANSWER_BOT_SLACK_APP_TOKEN & DANSWER_BOT_SLACK_BOT_TOKEN need to be set in .env file located in the root of the project
         {
             "name": "Slack Bot",
-            "consoleName": "Slack Bot",
-            "type": "debugpy",
+            "type": "python",
             "request": "launch",
             "program": "danswer/danswerbot/slack/listener.py",
             "cwd": "${workspaceFolder}/backend",
-            "envFile": "${workspaceFolder}/.vscode/.env",
+            "envFile": "${workspaceFolder}/.env",
             "env": {
                 "LOG_LEVEL": "DEBUG",
                 "PYTHONUNBUFFERED": "1",
@@ -122,12 +109,11 @@
         },
         {
             "name": "Pytest",
-            "consoleName": "Pytest",
-            "type": "debugpy",
+            "type": "python",
             "request": "launch",
             "module": "pytest",
             "cwd": "${workspaceFolder}/backend",
-            "envFile": "${workspaceFolder}/.vscode/.env",
+            "envFile": "${workspaceFolder}/.env",
             "env": {
                 "LOG_LEVEL": "DEBUG",
                 "PYTHONUNBUFFERED": "1",
@@ -138,16 +124,6 @@
                 // Specify a sepcific module/test to run or provide nothing to run all tests
                 //"tests/unit/danswer/llm/answering/test_prune_and_merge.py"
             ]
-        },
-        {
-            "name": "Clear and Restart External Volumes and Containers",
-            "type": "node",
-            "request": "launch",
-            "runtimeExecutable": "bash",
-            "runtimeArgs": ["${workspaceFolder}/backend/scripts/restart_containers.sh"],
-            "cwd": "${workspaceFolder}",
-            "console": "integratedTerminal",
-            "stopOnEntry": true
         }
     ]
 }

CONTRIBUTING.md

@@ -22,7 +22,7 @@ Your input is vital to making sure that Danswer moves in the right direction.
 Before starting on implementation, please raise a GitHub issue.
 
 And always feel free to message us (Chris Weaver / Yuhong Sun) on 
-[Slack](https://join.slack.com/t/danswer/shared_invite/zt-2lcmqw703-071hBuZBfNEOGUsLa5PXvQ) / 
+[Slack](https://join.slack.com/t/danswer/shared_invite/zt-2afut44lv-Rw3kSWu6_OmdAXRpCv80DQ) / 
 [Discord](https://discord.gg/TDJ59cGV2X) directly about anything at all. 
 
 
@@ -48,26 +48,23 @@ We would love to see you there!
 
 
 ## Get Started 🚀
-Danswer being a fully functional app, relies on some external software, specifically:
+Danswer being a fully functional app, relies on some external pieces of software, specifically:
 - [Postgres](https://www.postgresql.org/) (Relational DB)
 - [Vespa](https://vespa.ai/) (Vector DB/Search Engine)
-- [Redis](https://redis.io/) (Cache)
-- [Nginx](https://nginx.org/) (Not needed for development flows generally)
 
-
-> **Note:**
-> This guide provides instructions to build and run Danswer locally from source with Docker containers providing the above external software. We believe this combination is easier for
-> development purposes. If you prefer to use pre-built container images, we provide instructions on running the full Danswer stack within Docker below.
+This guide provides instructions to set up the Danswer specific services outside of Docker because it's easier for
+development purposes but also feel free to just use the containers and update with local changes by providing the
+`--build` flag.
 
 
 ### Local Set Up
-Be sure to use Python version 3.11. For instructions on installing Python 3.11 on macOS, refer to the [CONTRIBUTING_MACOS.md](./CONTRIBUTING_MACOS.md) readme.
+It is recommended to use Python version 3.11
 
 If using a lower version, modifications will have to be made to the code.
-If using a higher version, sometimes some libraries will not be available (i.e. we had problems with Tensorflow in the past with higher versions of python).
+If using a higher version, the version of Tensorflow we use may not be available for your platform.
 
 
-#### Backend: Python requirements
+#### Installing Requirements
 Currently, we use pip and recommend creating a virtual environment.
 
 For convenience here's a command for it:
@@ -76,9 +73,8 @@ python -m venv .venv
 source .venv/bin/activate
 ```
 
-> **Note:**
-> This virtual environment MUST NOT be set up WITHIN the danswer directory if you plan on using mypy within certain IDEs.
-> For simplicity, we recommend setting up the virtual environment outside of the danswer directory.
+--> Note that this virtual environment MUST NOT be set up WITHIN the danswer
+directory
 
 _For Windows, activate the virtual environment using Command Prompt:_
 ```bash
@@ -93,38 +89,34 @@ Install the required python dependencies:
 ```bash
 pip install -r danswer/backend/requirements/default.txt
 pip install -r danswer/backend/requirements/dev.txt
-pip install -r danswer/backend/requirements/ee.txt
 pip install -r danswer/backend/requirements/model_server.txt
 ```
 
-Install Playwright for Python (headless browser required by the Web Connector)
-
-In the activated Python virtualenv, install Playwright for Python by running:
-```bash
-playwright install
-```
-
-You may have to deactivate and reactivate your virtualenv for `playwright` to appear on your path.
-
-#### Frontend: Node dependencies
-
 Install [Node.js and npm](https://docs.npmjs.com/downloading-and-installing-node-js-and-npm) for the frontend.
 Once the above is done, navigate to `danswer/web` run:
 ```bash
 npm i
 ```
 
-#### Docker containers for external software
-You will need Docker installed to run these containers.
+Install Playwright (required by the Web Connector)
 
-First navigate to `danswer/deployment/docker_compose`, then start up Postgres/Vespa/Redis with:
+> Note: If you have just done the pip install, open a new terminal and source the python virtual-env again.
+This will update the path to include playwright
+
+Then install Playwright by running:
 ```bash
-docker compose -f docker-compose.dev.yml -p danswer-stack up -d index relational_db cache
+playwright install
 ```
-(index refers to Vespa, relational_db refers to Postgres, and cache refers to Redis)
 
 
-#### Running Danswer locally
+#### Dependent Docker Containers
+First navigate to `danswer/deployment/docker_compose`, then start up Vespa and Postgres with:
+```bash
+docker compose -f docker-compose.dev.yml -p danswer-stack up -d index relational_db
+```
+(index refers to Vespa and relational_db refers to Postgres)
+
+#### Running Danswer
 To start the frontend, navigate to `danswer/web` and run:
 ```bash
 npm run dev
@@ -135,10 +127,11 @@ Navigate to `danswer/backend` and run:
 ```bash
 uvicorn model_server.main:app --reload --port 9000
 ```
-
 _For Windows (for compatibility with both PowerShell and Command Prompt):_
 ```bash
-powershell -Command "uvicorn model_server.main:app --reload --port 9000"
+powershell -Command "
+    uvicorn model_server.main:app --reload --port 9000
+"
 ```
 
 The first time running Danswer, you will need to run the DB migrations for Postgres.
@@ -161,7 +154,6 @@ To run the backend API server, navigate back to `danswer/backend` and run:
 ```bash
 AUTH_TYPE=disabled uvicorn danswer.main:app --reload --port 8080
 ```
-
 _For Windows (for compatibility with both PowerShell and Command Prompt):_
 ```bash
 powershell -Command "
@@ -170,58 +162,20 @@ powershell -Command "
 "
 ```
 
-> **Note:**
-> If you need finer logging, add the additional environment variable `LOG_LEVEL=DEBUG` to the relevant services.
-
-#### Wrapping up
-
-You should now have 4 servers running:
-
-- Web server
-- Backend API
-- Model server
-- Background jobs
-
-Now, visit `http://localhost:3000` in your browser. You should see the Danswer onboarding wizard where you can connect your external LLM provider to Danswer.
-
-You've successfully set up a local Danswer instance! 🏁
-
-#### Running the Danswer application in a container
-
-You can run the full Danswer application stack from pre-built images including all external software dependencies.
-
-Navigate to `danswer/deployment/docker_compose` and run:
-
-```bash
-docker compose -f docker-compose.dev.yml -p danswer-stack up -d
-```
-
-After Docker pulls and starts these containers, navigate to `http://localhost:3000` to use Danswer.
-
-If you want to make changes to Danswer and run those changes in Docker, you can also build a local version of the Danswer container images that incorporates your changes like so:
-
-```bash
-docker compose -f docker-compose.dev.yml -p danswer-stack up -d --build
-```
+Note: if you need finer logging, add the additional environment variable `LOG_LEVEL=DEBUG` to the relevant services.
 
 ### Formatting and Linting
 #### Backend
 For the backend, you'll need to setup pre-commit hooks (black / reorder-python-imports).
 First, install pre-commit (if you don't have it already) following the instructions
 [here](https://pre-commit.com/#installation).
-
-With the virtual environment active, install the pre-commit library with:
-```bash
-pip install pre-commit
-```
-
 Then, from the `danswer/backend` directory, run:
 ```bash
 pre-commit install
 ```
 
 Additionally, we use `mypy` for static type checking.
-Danswer is fully type-annotated, and we want to keep it that way! 
+Danswer is fully type-annotated, and we would like to keep it that way! 
 To run the mypy checks manually, run `python -m mypy .` from the `danswer/backend` directory.
 
 
@@ -232,7 +186,6 @@ Please double check that prettier passes before creating a pull request.
 
 
 ### Release Process
-Danswer loosely follows the SemVer versioning standard.
-Major changes are released with a "minor" version bump. Currently we use patch release versions to indicate small feature changes.
+Danswer follows the semver versioning standard.
 A set of Docker containers will be pushed automatically to DockerHub with every tag.
 You can see the containers [here](https://hub.docker.com/search?q=danswer%2F).

CONTRIBUTING_MACOS.md

@@ -1,31 +0,0 @@
-## Some additional notes for Mac Users
-The base instructions to set up the development environment are located in [CONTRIBUTING.md](https://github.com/danswer-ai/danswer/blob/main/CONTRIBUTING.md).
-
-### Setting up Python
-Ensure [Homebrew](https://brew.sh/) is already set up.
-
-Then install python 3.11.
-```bash
-brew install python@3.11
-```
-
-Add python 3.11 to your path: add the following line to ~/.zshrc
-```
-export PATH="$(brew --prefix)/opt/python@3.11/libexec/bin:$PATH"
-```
-
-> **Note:**
-> You will need to open a new terminal for the path change above to take effect.
-
-
-### Setting up Docker
-On macOS, you will need to install [Docker Desktop](https://www.docker.com/products/docker-desktop/) and 
-ensure it is running before continuing with the docker commands.
-
-
-### Formatting and Linting
-MacOS will likely require you to remove some quarantine attributes on some of the hooks for them to execute properly.
-After installing pre-commit, run the following command:
-```bash
-sudo xattr -r -d com.apple.quarantine ~/.cache/pre-commit
-```

backend/Dockerfile

@@ -9,8 +9,7 @@ founders@danswer.ai for more information. Please visit https://github.com/danswe
 
 # Default DANSWER_VERSION, typically overriden during builds by GitHub Actions.
 ARG DANSWER_VERSION=0.3-dev
-ENV DANSWER_VERSION=${DANSWER_VERSION} \
-    DANSWER_RUNNING_IN_DOCKER="true"
+ENV DANSWER_VERSION=${DANSWER_VERSION}
 
 RUN echo "DANSWER_VERSION: ${DANSWER_VERSION}"
 # Install system dependencies
@@ -41,8 +40,6 @@ RUN apt-get update && \
 COPY ./requirements/default.txt /tmp/requirements.txt
 COPY ./requirements/ee.txt /tmp/ee-requirements.txt
 RUN pip install --no-cache-dir --upgrade \
-        --retries 5 \
-        --timeout 30 \
         -r /tmp/requirements.txt \
         -r /tmp/ee-requirements.txt && \
     pip uninstall -y py && \
@@ -71,15 +68,13 @@ RUN apt-get update && \
     rm -f /usr/local/lib/python3.11/site-packages/tornado/test/test.key
 
 # Pre-downloading models for setups with limited egress
-RUN python -c "from tokenizers import Tokenizer; \
-Tokenizer.from_pretrained('nomic-ai/nomic-embed-text-v1')"
-
+RUN python -c "from transformers import AutoTokenizer; AutoTokenizer.from_pretrained('intfloat/e5-base-v2')"
 
 # Pre-downloading NLTK for setups with limited egress
 RUN python -c "import nltk; \
 nltk.download('stopwords', quiet=True); \
+nltk.download('wordnet', quiet=True); \
 nltk.download('punkt', quiet=True);"
-# nltk.download('wordnet', quiet=True); introduce this back if lemmatization is needed
 
 # Set up application files
 WORKDIR /app

backend/Dockerfile.model_server

@@ -8,38 +8,24 @@ visit https://github.com/danswer-ai/danswer."
 
 # Default DANSWER_VERSION, typically overriden during builds by GitHub Actions.
 ARG DANSWER_VERSION=0.3-dev
-ENV DANSWER_VERSION=${DANSWER_VERSION} \
-    DANSWER_RUNNING_IN_DOCKER="true"
-
-
+ENV DANSWER_VERSION=${DANSWER_VERSION}
 RUN echo "DANSWER_VERSION: ${DANSWER_VERSION}"
 
 COPY ./requirements/model_server.txt /tmp/requirements.txt
-RUN pip install --no-cache-dir --upgrade \
-        --retries 5 \
-        --timeout 30 \
-        -r /tmp/requirements.txt
+RUN pip install --no-cache-dir --upgrade -r /tmp/requirements.txt
 
 RUN apt-get remove -y --allow-remove-essential perl-base && \
     apt-get autoremove -y
 
 # Pre-downloading models for setups with limited egress
-# Download tokenizers, distilbert for the Danswer model
-# Download model weights
-# Run Nomic to pull in the custom architecture and have it cached locally
-RUN python -c "from transformers import AutoTokenizer; \
-AutoTokenizer.from_pretrained('distilbert-base-uncased'); \
-AutoTokenizer.from_pretrained('mixedbread-ai/mxbai-rerank-xsmall-v1'); \
+RUN python -c "from transformers import AutoModel, AutoTokenizer, TFDistilBertForSequenceClassification; \
 from huggingface_hub import snapshot_download; \
-snapshot_download(repo_id='danswer/hybrid-intent-token-classifier', revision='v1.0.3'); \
-snapshot_download('nomic-ai/nomic-embed-text-v1'); \
-snapshot_download('mixedbread-ai/mxbai-rerank-xsmall-v1'); \
-from sentence_transformers import SentenceTransformer; \
-SentenceTransformer(model_name_or_path='nomic-ai/nomic-embed-text-v1', trust_remote_code=True);"
-
-# In case the user has volumes mounted to /root/.cache/huggingface that they've downloaded while
-# running Danswer, don't overwrite it with the built in cache folder
-RUN mv /root/.cache/huggingface /root/.cache/temp_huggingface
+AutoTokenizer.from_pretrained('danswer/intent-model'); \
+AutoTokenizer.from_pretrained('intfloat/e5-base-v2'); \
+AutoTokenizer.from_pretrained('mixedbread-ai/mxbai-rerank-xsmall-v1'); \
+snapshot_download('danswer/intent-model'); \
+snapshot_download('intfloat/e5-base-v2'); \
+snapshot_download('mixedbread-ai/mxbai-rerank-xsmall-v1')"
 
 WORKDIR /app
 

backend/alembic/env.py

@@ -8,53 +8,26 @@ from sqlalchemy import pool
 from sqlalchemy.engine import Connection
 from sqlalchemy.ext.asyncio import create_async_engine
 from celery.backends.database.session import ResultModelBase  # type: ignore
-from sqlalchemy.schema import SchemaItem
-from sqlalchemy.sql import text
 
-# Alembic Config object
+# this is the Alembic Config object, which provides
+# access to the values within the .ini file in use.
 config = context.config
 
 # Interpret the config file for Python logging.
 # This line sets up loggers basically.
-if config.config_file_name is not None and config.attributes.get(
-    "configure_logger", True
-):
+if config.config_file_name is not None:
     fileConfig(config.config_file_name)
 
-# Add your model's MetaData object here
+# add your model's MetaData object here
 # for 'autogenerate' support
 # from myapp import mymodel
 # target_metadata = mymodel.Base.metadata
 target_metadata = [Base.metadata, ResultModelBase.metadata]
 
-
-def get_schema_options() -> tuple[str, bool]:
-    x_args_raw = context.get_x_argument()
-    x_args = {}
-    for arg in x_args_raw:
-        for pair in arg.split(","):
-            if "=" in pair:
-                key, value = pair.split("=", 1)
-                x_args[key] = value
-
-    schema_name = x_args.get("schema", "public")
-    create_schema = x_args.get("create_schema", "true").lower() == "true"
-    return schema_name, create_schema
-
-
-EXCLUDE_TABLES = {"kombu_queue", "kombu_message"}
-
-
-def include_object(
-    object: SchemaItem,
-    name: str,
-    type_: str,
-    reflected: bool,
-    compare_to: SchemaItem | None,
-) -> bool:
-    if type_ == "table" and name in EXCLUDE_TABLES:
-        return False
-    return True
+# other values from the config, defined by the needs of env.py,
+# can be acquired:
+# my_important_option = config.get_main_option("my_important_option")
+# ... etc.
 
 
 def run_migrations_offline() -> None:
@@ -64,20 +37,17 @@ def run_migrations_offline() -> None:
     and not an Engine, though an Engine is acceptable
     here as well.  By skipping the Engine creation
     we don't even need a DBAPI to be available.
+
     Calls to context.execute() here emit the given string to the
     script output.
+
     """
     url = build_connection_string()
-    schema, _ = get_schema_options()
-
     context.configure(
         url=url,
         target_metadata=target_metadata,  # type: ignore
         literal_binds=True,
-        include_object=include_object,
         dialect_opts={"paramstyle": "named"},
-        version_table_schema=schema,
-        include_schemas=True,
     )
 
     with context.begin_transaction():
@@ -85,28 +55,18 @@ def run_migrations_offline() -> None:
 
 
 def do_run_migrations(connection: Connection) -> None:
-    schema, create_schema = get_schema_options()
-    if create_schema:
-        connection.execute(text(f'CREATE SCHEMA IF NOT EXISTS "{schema}"'))
-        connection.execute(text("COMMIT"))
-
-    connection.execute(text(f'SET search_path TO "{schema}"'))
-
-    context.configure(
-        connection=connection,
-        target_metadata=target_metadata,  # type: ignore
-        version_table_schema=schema,
-        include_schemas=True,
-        compare_type=True,
-        compare_server_default=True,
-    )
+    context.configure(connection=connection, target_metadata=target_metadata)  # type: ignore
 
     with context.begin_transaction():
         context.run_migrations()
 
 
 async def run_async_migrations() -> None:
-    """Run migrations in 'online' mode."""
+    """In this scenario we need to create an Engine
+    and associate a connection with the context.
+
+    """
+
     connectable = create_async_engine(
         build_connection_string(),
         poolclass=pool.NullPool,
@@ -120,6 +80,7 @@ async def run_async_migrations() -> None:
 
 def run_migrations_online() -> None:
     """Run migrations in 'online' mode."""
+
     asyncio.run(run_async_migrations())
 
 

backend/alembic/versions/0568ccf46a6b_add_thread_specific_model_selection.py

@@ -17,11 +17,15 @@ depends_on: None = None
 
 
 def upgrade() -> None:
+    # ### commands auto generated by Alembic - please adjust! ###
     op.add_column(
         "chat_session",
         sa.Column("current_alternate_model", sa.String(), nullable=True),
     )
+    # ### end Alembic commands ###
 
 
 def downgrade() -> None:
+    # ### commands auto generated by Alembic - please adjust! ###
     op.drop_column("chat_session", "current_alternate_model")
+    # ### end Alembic commands ###

backend/alembic/versions/08a1eda20fe1_add_earliest_indexing_to_connector.py

@@ -1,26 +0,0 @@
-"""add_indexing_start_to_connector
-
-Revision ID: 08a1eda20fe1
-Revises: 8a87bd6ec550
-Create Date: 2024-07-23 11:12:39.462397
-
-"""
-from alembic import op
-import sqlalchemy as sa
-
-
-# revision identifiers, used by Alembic.
-revision = "08a1eda20fe1"
-down_revision = "8a87bd6ec550"
-branch_labels: None = None
-depends_on: None = None
-
-
-def upgrade() -> None:
-    op.add_column(
-        "connector", sa.Column("indexing_start", sa.DateTime(), nullable=True)
-    )
-
-
-def downgrade() -> None:
-    op.drop_column("connector", "indexing_start")

backend/alembic/versions/0ebb1d516877_add_ccpair_deletion_failure_message.py

@@ -1,27 +0,0 @@
-"""add ccpair deletion failure message
-
-Revision ID: 0ebb1d516877
-Revises: 52a219fb5233
-Create Date: 2024-09-10 15:03:48.233926
-
-"""
-from alembic import op
-import sqlalchemy as sa
-
-
-# revision identifiers, used by Alembic.
-revision = "0ebb1d516877"
-down_revision = "52a219fb5233"
-branch_labels = None
-depends_on = None
-
-
-def upgrade() -> None:
-    op.add_column(
-        "connector_credential_pair",
-        sa.Column("deletion_failure_message", sa.String(), nullable=True),
-    )
-
-
-def downgrade() -> None:
-    op.drop_column("connector_credential_pair", "deletion_failure_message")

backend/alembic/versions/1b8206b29c5d_add_user_delete_cascades.py

@@ -1,102 +0,0 @@
-"""add_user_delete_cascades
-
-Revision ID: 1b8206b29c5d
-Revises: 35e6853a51d5
-Create Date: 2024-09-18 11:48:59.418726
-
-"""
-from alembic import op
-
-
-# revision identifiers, used by Alembic.
-revision = "1b8206b29c5d"
-down_revision = "35e6853a51d5"
-branch_labels = None
-depends_on = None
-
-
-def upgrade() -> None:
-    op.drop_constraint("credential_user_id_fkey", "credential", type_="foreignkey")
-    op.create_foreign_key(
-        "credential_user_id_fkey",
-        "credential",
-        "user",
-        ["user_id"],
-        ["id"],
-        ondelete="CASCADE",
-    )
-
-    op.drop_constraint("chat_session_user_id_fkey", "chat_session", type_="foreignkey")
-    op.create_foreign_key(
-        "chat_session_user_id_fkey",
-        "chat_session",
-        "user",
-        ["user_id"],
-        ["id"],
-        ondelete="CASCADE",
-    )
-
-    op.drop_constraint("chat_folder_user_id_fkey", "chat_folder", type_="foreignkey")
-    op.create_foreign_key(
-        "chat_folder_user_id_fkey",
-        "chat_folder",
-        "user",
-        ["user_id"],
-        ["id"],
-        ondelete="CASCADE",
-    )
-
-    op.drop_constraint("prompt_user_id_fkey", "prompt", type_="foreignkey")
-    op.create_foreign_key(
-        "prompt_user_id_fkey", "prompt", "user", ["user_id"], ["id"], ondelete="CASCADE"
-    )
-
-    op.drop_constraint("notification_user_id_fkey", "notification", type_="foreignkey")
-    op.create_foreign_key(
-        "notification_user_id_fkey",
-        "notification",
-        "user",
-        ["user_id"],
-        ["id"],
-        ondelete="CASCADE",
-    )
-
-    op.drop_constraint("inputprompt_user_id_fkey", "inputprompt", type_="foreignkey")
-    op.create_foreign_key(
-        "inputprompt_user_id_fkey",
-        "inputprompt",
-        "user",
-        ["user_id"],
-        ["id"],
-        ondelete="CASCADE",
-    )
-
-
-def downgrade() -> None:
-    op.drop_constraint("credential_user_id_fkey", "credential", type_="foreignkey")
-    op.create_foreign_key(
-        "credential_user_id_fkey", "credential", "user", ["user_id"], ["id"]
-    )
-
-    op.drop_constraint("chat_session_user_id_fkey", "chat_session", type_="foreignkey")
-    op.create_foreign_key(
-        "chat_session_user_id_fkey", "chat_session", "user", ["user_id"], ["id"]
-    )
-
-    op.drop_constraint("chat_folder_user_id_fkey", "chat_folder", type_="foreignkey")
-    op.create_foreign_key(
-        "chat_folder_user_id_fkey", "chat_folder", "user", ["user_id"], ["id"]
-    )
-
-    op.drop_constraint("prompt_user_id_fkey", "prompt", type_="foreignkey")
-    op.create_foreign_key("prompt_user_id_fkey", "prompt", "user", ["user_id"], ["id"])
-
-    op.drop_constraint("notification_user_id_fkey", "notification", type_="foreignkey")
-    op.create_foreign_key(
-        "notification_user_id_fkey", "notification", "user", ["user_id"], ["id"]
-    )
-
-    op.drop_constraint("inputprompt_user_id_fkey", "inputprompt", type_="foreignkey")
-    op.create_foreign_key(
-        "inputprompt_user_id_fkey", "inputprompt", "user", ["user_id"], ["id"]
-    )

backend/alembic/versions/1f60f60c3401_embedding_model_search_settings.py

@@ -1,135 +0,0 @@
-"""embedding model -> search settings
-
-Revision ID: 1f60f60c3401
-Revises: f17bf3b0d9f1
-Create Date: 2024-08-25 12:39:51.731632
-
-"""
-
-from alembic import op
-import sqlalchemy as sa
-from sqlalchemy.dialects import postgresql
-
-from danswer.configs.chat_configs import NUM_POSTPROCESSED_RESULTS
-
-# revision identifiers, used by Alembic.
-revision = "1f60f60c3401"
-down_revision = "f17bf3b0d9f1"
-branch_labels: None = None
-depends_on: None = None
-
-
-def upgrade() -> None:
-    op.drop_constraint(
-        "index_attempt__embedding_model_fk", "index_attempt", type_="foreignkey"
-    )
-    # Rename the table
-    op.rename_table("embedding_model", "search_settings")
-
-    # Add new columns
-    op.add_column(
-        "search_settings",
-        sa.Column(
-            "multipass_indexing", sa.Boolean(), nullable=False, server_default="false"
-        ),
-    )
-    op.add_column(
-        "search_settings",
-        sa.Column(
-            "multilingual_expansion",
-            postgresql.ARRAY(sa.String()),
-            nullable=False,
-            server_default="{}",
-        ),
-    )
-    op.add_column(
-        "search_settings",
-        sa.Column(
-            "disable_rerank_for_streaming",
-            sa.Boolean(),
-            nullable=False,
-            server_default="false",
-        ),
-    )
-    op.add_column(
-        "search_settings", sa.Column("rerank_model_name", sa.String(), nullable=True)
-    )
-    op.add_column(
-        "search_settings", sa.Column("rerank_provider_type", sa.String(), nullable=True)
-    )
-    op.add_column(
-        "search_settings", sa.Column("rerank_api_key", sa.String(), nullable=True)
-    )
-    op.add_column(
-        "search_settings",
-        sa.Column(
-            "num_rerank",
-            sa.Integer(),
-            nullable=False,
-            server_default=str(NUM_POSTPROCESSED_RESULTS),
-        ),
-    )
-
-    # Add the new column as nullable initially
-    op.add_column(
-        "index_attempt", sa.Column("search_settings_id", sa.Integer(), nullable=True)
-    )
-
-    # Populate the new column with data from the existing embedding_model_id
-    op.execute("UPDATE index_attempt SET search_settings_id = embedding_model_id")
-
-    # Create the foreign key constraint
-    op.create_foreign_key(
-        "fk_index_attempt_search_settings",
-        "index_attempt",
-        "search_settings",
-        ["search_settings_id"],
-        ["id"],
-    )
-
-    # Make the new column non-nullable
-    op.alter_column("index_attempt", "search_settings_id", nullable=False)
-
-    # Drop the old embedding_model_id column
-    op.drop_column("index_attempt", "embedding_model_id")
-
-
-def downgrade() -> None:
-    # Add back the embedding_model_id column
-    op.add_column(
-        "index_attempt", sa.Column("embedding_model_id", sa.Integer(), nullable=True)
-    )
-
-    # Populate the old column with data from search_settings_id
-    op.execute("UPDATE index_attempt SET embedding_model_id = search_settings_id")
-
-    # Make the old column non-nullable
-    op.alter_column("index_attempt", "embedding_model_id", nullable=False)
-
-    # Drop the foreign key constraint
-    op.drop_constraint(
-        "fk_index_attempt_search_settings", "index_attempt", type_="foreignkey"
-    )
-
-    # Drop the new search_settings_id column
-    op.drop_column("index_attempt", "search_settings_id")
-
-    # Rename the table back
-    op.rename_table("search_settings", "embedding_model")
-
-    # Remove added columns
-    op.drop_column("embedding_model", "num_rerank")
-    op.drop_column("embedding_model", "rerank_api_key")
-    op.drop_column("embedding_model", "rerank_provider_type")
-    op.drop_column("embedding_model", "rerank_model_name")
-    op.drop_column("embedding_model", "disable_rerank_for_streaming")
-    op.drop_column("embedding_model", "multilingual_expansion")
-    op.drop_column("embedding_model", "multipass_indexing")
-
-    op.create_foreign_key(
-        "index_attempt__embedding_model_fk",
-        "index_attempt",
-        "embedding_model",
-        ["embedding_model_id"],
-        ["id"],
-    )

backend/alembic/versions/213fd978c6d8_notifications.py

@@ -1,44 +0,0 @@
-"""notifications
-
-Revision ID: 213fd978c6d8
-Revises: 5fc1f54cc252
-Create Date: 2024-08-10 11:13:36.070790
-
-"""
-from alembic import op
-import sqlalchemy as sa
-
-# revision identifiers, used by Alembic.
-revision = "213fd978c6d8"
-down_revision = "5fc1f54cc252"
-branch_labels: None = None
-depends_on: None = None
-
-
-def upgrade() -> None:
-    op.create_table(
-        "notification",
-        sa.Column("id", sa.Integer(), nullable=False),
-        sa.Column(
-            "notif_type",
-            sa.String(),
-            nullable=False,
-        ),
-        sa.Column(
-            "user_id",
-            sa.UUID(),
-            nullable=True,
-        ),
-        sa.Column("dismissed", sa.Boolean(), nullable=False),
-        sa.Column("last_shown", sa.DateTime(timezone=True), nullable=False),
-        sa.Column("first_shown", sa.DateTime(timezone=True), nullable=False),
-        sa.ForeignKeyConstraint(
-            ["user_id"],
-            ["user.id"],
-        ),
-        sa.PrimaryKeyConstraint("id"),
-    )
-
-
-def downgrade() -> None:
-    op.drop_table("notification")

backend/alembic/versions/23957775e5f5_remove_feedback_foreignkey_constraint.py

@@ -79,7 +79,7 @@ def downgrade() -> None:
     )
     op.create_foreign_key(
         "document_retrieval_feedback__chat_message_fk",
-        "document_retrieval_feedback",
+        "document_retrieval",
         "chat_message",
         ["chat_message_id"],
         ["id"],

backend/alembic/versions/27c6ecc08586_permission_framework.py

@@ -160,28 +160,12 @@ def downgrade() -> None:
             nullable=False,
         ),
     )
-
-    # Check if the constraint exists before dropping
-    conn = op.get_bind()
-    inspector = sa.inspect(conn)
-    constraints = inspector.get_foreign_keys("index_attempt")
-
-    if any(
-        constraint["name"] == "fk_index_attempt_credential_id"
-        for constraint in constraints
-    ):
-        op.drop_constraint(
-            "fk_index_attempt_credential_id", "index_attempt", type_="foreignkey"
-        )
-
-    if any(
-        constraint["name"] == "fk_index_attempt_connector_id"
-        for constraint in constraints
-    ):
-        op.drop_constraint(
-            "fk_index_attempt_connector_id", "index_attempt", type_="foreignkey"
-        )
-
+    op.drop_constraint(
+        "fk_index_attempt_credential_id", "index_attempt", type_="foreignkey"
+    )
+    op.drop_constraint(
+        "fk_index_attempt_connector_id", "index_attempt", type_="foreignkey"
+    )
     op.drop_column("index_attempt", "credential_id")
     op.drop_column("index_attempt", "connector_id")
     op.drop_table("connector_credential_pair")

backend/alembic/versions/2d2304e27d8c_add_above_below_to_persona.py

@@ -1,32 +0,0 @@
-"""Add Above Below to Persona
-
-Revision ID: 2d2304e27d8c
-Revises: 4b08d97e175a
-Create Date: 2024-08-21 19:15:15.762948
-
-"""
-from alembic import op
-import sqlalchemy as sa
-
-# revision identifiers, used by Alembic.
-revision = "2d2304e27d8c"
-down_revision = "4b08d97e175a"
-branch_labels: None = None
-depends_on: None = None
-
-
-def upgrade() -> None:
-    op.add_column("persona", sa.Column("chunks_above", sa.Integer(), nullable=True))
-    op.add_column("persona", sa.Column("chunks_below", sa.Integer(), nullable=True))
-
-    op.execute(
-        "UPDATE persona SET chunks_above = 1, chunks_below = 1 WHERE chunks_above IS NULL AND chunks_below IS NULL"
-    )
-
-    op.alter_column("persona", "chunks_above", nullable=False)
-    op.alter_column("persona", "chunks_below", nullable=False)
-
-
-def downgrade() -> None:
-    op.drop_column("persona", "chunks_below")
-    op.drop_column("persona", "chunks_above")

backend/alembic/versions/325975216eb3_add_icon_color_and_icon_shape_to_persona.py

@@ -1,70 +0,0 @@
-"""Add icon_color and icon_shape to Persona
-
-Revision ID: 325975216eb3
-Revises: 91ffac7e65b3
-Create Date: 2024-07-24 21:29:31.784562
-
-"""
-import random
-from alembic import op
-import sqlalchemy as sa
-from sqlalchemy.sql import table, column, select
-
-# revision identifiers, used by Alembic.
-revision = "325975216eb3"
-down_revision = "91ffac7e65b3"
-branch_labels: None = None
-depends_on: None = None
-
-
-colorOptions = [
-    "#FF6FBF",
-    "#6FB1FF",
-    "#B76FFF",
-    "#FFB56F",
-    "#6FFF8D",
-    "#FF6F6F",
-    "#6FFFFF",
-]
-
-
-# Function to generate a random shape ensuring at least 3 of the middle 4 squares are filled
-def generate_random_shape() -> int:
-    center_squares = [12, 10, 6, 14, 13, 11, 7, 15]
-    center_fill = random.choice(center_squares)
-    remaining_squares = [i for i in range(16) if not (center_fill & (1 << i))]
-    random.shuffle(remaining_squares)
-    for i in range(10 - bin(center_fill).count("1")):
-        center_fill |= 1 << remaining_squares[i]
-    return center_fill
-
-
-def upgrade() -> None:
-    op.add_column("persona", sa.Column("icon_color", sa.String(), nullable=True))
-    op.add_column("persona", sa.Column("icon_shape", sa.Integer(), nullable=True))
-    op.add_column("persona", sa.Column("uploaded_image_id", sa.String(), nullable=True))
-
-    persona = table(
-        "persona",
-        column("id", sa.Integer),
-        column("icon_color", sa.String),
-        column("icon_shape", sa.Integer),
-    )
-
-    conn = op.get_bind()
-    personas = conn.execute(select(persona.c.id))
-
-    for persona_id in personas:
-        random_color = random.choice(colorOptions)
-        random_shape = generate_random_shape()
-        conn.execute(
-            persona.update()
-            .where(persona.c.id == persona_id[0])
-            .values(icon_color=random_color, icon_shape=random_shape)
-        )
-
-
-def downgrade() -> None:
-    op.drop_column("persona", "icon_shape")
-    op.drop_column("persona", "uploaded_image_id")
-    op.drop_column("persona", "icon_color")

backend/alembic/versions/351faebd379d_add_curator_fields.py

@@ -1,90 +0,0 @@
-"""Add curator fields
-
-Revision ID: 351faebd379d
-Revises: ee3f4b47fad5
-Create Date: 2024-08-15 22:37:08.397052
-
-"""
-from alembic import op
-import sqlalchemy as sa
-
-# revision identifiers, used by Alembic.
-revision = "351faebd379d"
-down_revision = "ee3f4b47fad5"
-branch_labels: None = None
-depends_on: None = None
-
-
-def upgrade() -> None:
-    # Add is_curator column to User__UserGroup table
-    op.add_column(
-        "user__user_group",
-        sa.Column("is_curator", sa.Boolean(), nullable=False, server_default="false"),
-    )
-
-    # Use batch mode to modify the enum type
-    with op.batch_alter_table("user", schema=None) as batch_op:
-        batch_op.alter_column(  # type: ignore[attr-defined]
-            "role",
-            type_=sa.Enum(
-                "BASIC",
-                "ADMIN",
-                "CURATOR",
-                "GLOBAL_CURATOR",
-                name="userrole",
-                native_enum=False,
-            ),
-            existing_type=sa.Enum("BASIC", "ADMIN", name="userrole", native_enum=False),
-            existing_nullable=False,
-        )
-    # Create the association table
-    op.create_table(
-        "credential__user_group",
-        sa.Column("credential_id", sa.Integer(), nullable=False),
-        sa.Column("user_group_id", sa.Integer(), nullable=False),
-        sa.ForeignKeyConstraint(
-            ["credential_id"],
-            ["credential.id"],
-        ),
-        sa.ForeignKeyConstraint(
-            ["user_group_id"],
-            ["user_group.id"],
-        ),
-        sa.PrimaryKeyConstraint("credential_id", "user_group_id"),
-    )
-    op.add_column(
-        "credential",
-        sa.Column(
-            "curator_public", sa.Boolean(), nullable=False, server_default="false"
-        ),
-    )
-
-
-def downgrade() -> None:
-    # Update existing records to ensure they fit within the BASIC/ADMIN roles
-    op.execute(
-        "UPDATE \"user\" SET role = 'ADMIN' WHERE role IN ('CURATOR', 'GLOBAL_CURATOR')"
-    )
-
-    # Remove is_curator column from User__UserGroup table
-    op.drop_column("user__user_group", "is_curator")
-
-    with op.batch_alter_table("user", schema=None) as batch_op:
-        batch_op.alter_column(  # type: ignore[attr-defined]
-            "role",
-            type_=sa.Enum(
-                "BASIC", "ADMIN", name="userrole", native_enum=False, length=20
-            ),
-            existing_type=sa.Enum(
-                "BASIC",
-                "ADMIN",
-                "CURATOR",
-                "GLOBAL_CURATOR",
-                name="userrole",
-                native_enum=False,
-            ),
-            existing_nullable=False,
-        )
-    # Drop the association table
-    op.drop_table("credential__user_group")
-    op.drop_column("credential", "curator_public")

backend/alembic/versions/35e6853a51d5_server_default_chosen_assistants.py

@@ -1,64 +0,0 @@
-"""server default chosen assistants
-
-Revision ID: 35e6853a51d5
-Revises: c99d76fcd298
-Create Date: 2024-09-13 13:20:32.885317
-
-"""
-from alembic import op
-import sqlalchemy as sa
-from sqlalchemy.dialects import postgresql
-
-# revision identifiers, used by Alembic.
-revision = "35e6853a51d5"
-down_revision = "c99d76fcd298"
-branch_labels = None
-depends_on = None
-
-DEFAULT_ASSISTANTS = [-2, -1, 0]
-
-
-def upgrade() -> None:
-    # Step 1: Update any NULL values to the default value
-    # This upgrades existing users without ordered assistant
-    # to have default assistants set to visible assistants which are
-    # accessible by them.
-    op.execute(
-        """
-        UPDATE "user" u
-        SET chosen_assistants = (
-            SELECT jsonb_agg(
-                p.id ORDER BY
-                    COALESCE(p.display_priority, 2147483647) ASC,
-                    p.id ASC
-            )
-            FROM persona p
-            LEFT JOIN persona__user pu ON p.id = pu.persona_id AND pu.user_id = u.id
-            WHERE p.is_visible = true
-            AND (p.is_public = true OR pu.user_id IS NOT NULL)
-        )
-        WHERE chosen_assistants IS NULL
-        OR chosen_assistants = 'null'
-        OR jsonb_typeof(chosen_assistants) = 'null'
-        OR (jsonb_typeof(chosen_assistants) = 'string' AND chosen_assistants = '"null"')
-    """
-    )
-
-    # Step 2: Alter the column to make it non-nullable
-    op.alter_column(
-        "user",
-        "chosen_assistants",
-        type_=postgresql.JSONB(astext_type=sa.Text()),
-        nullable=False,
-        server_default=sa.text(f"'{DEFAULT_ASSISTANTS}'::jsonb"),
-    )
-
-
-def downgrade() -> None:
-    op.alter_column(
-        "user",
-        "chosen_assistants",
-        type_=postgresql.JSONB(astext_type=sa.Text()),
-        nullable=True,
-        server_default=None,
-    )

backend/alembic/versions/3a7802814195_add_alternate_assistant_to_chat_message.py

@@ -18,6 +18,7 @@ depends_on: None = None
 
 
 def upgrade() -> None:
+    # ### commands auto generated by Alembic - please adjust! ###
     op.add_column(
         "chat_message", sa.Column("alternate_assistant_id", sa.Integer(), nullable=True)
     )
@@ -28,8 +29,10 @@ def upgrade() -> None:
         ["alternate_assistant_id"],
         ["id"],
     )
+    # ### end Alembic commands ###
 
 
 def downgrade() -> None:
+    # ### commands auto generated by Alembic - please adjust! ###
     op.drop_constraint("fk_chat_message_persona", "chat_message", type_="foreignkey")
     op.drop_column("chat_message", "alternate_assistant_id")

backend/alembic/versions/43cbbb3f5e6a_rename_index_origin_to_index_recursively.py

@@ -1,42 +0,0 @@
-"""Rename index_origin to index_recursively
-
-Revision ID: 1d6ad76d1f37
-Revises: e1392f05e840
-Create Date: 2024-08-01 12:38:54.466081
-
-"""
-from alembic import op
-
-# revision identifiers, used by Alembic.
-revision = "1d6ad76d1f37"
-down_revision = "e1392f05e840"
-branch_labels: None = None
-depends_on: None = None
-
-
-def upgrade() -> None:
-    op.execute(
-        """
-        UPDATE connector
-        SET connector_specific_config = jsonb_set(
-            connector_specific_config,
-            '{index_recursively}',
-            'true'::jsonb
-        ) - 'index_origin'
-        WHERE connector_specific_config ? 'index_origin'
-    """
-    )
-
-
-def downgrade() -> None:
-    op.execute(
-        """
-        UPDATE connector
-        SET connector_specific_config = jsonb_set(
-            connector_specific_config,
-            '{index_origin}',
-            connector_specific_config->'index_recursively'
-        ) - 'index_recursively'
-        WHERE connector_specific_config ? 'index_recursively'
-    """
-    )

backend/alembic/versions/46b7a812670f_fix_user__external_user_group_id_fk.py

@@ -1,46 +0,0 @@
-"""fix_user__external_user_group_id_fk
-
-Revision ID: 46b7a812670f
-Revises: f32615f71aeb
-Create Date: 2024-09-23 12:58:03.894038
-
-"""
-from alembic import op
-
-# revision identifiers, used by Alembic.
-revision = "46b7a812670f"
-down_revision = "f32615f71aeb"
-branch_labels = None
-depends_on = None
-
-
-def upgrade() -> None:
-    # Drop the existing primary key
-    op.drop_constraint(
-        "user__external_user_group_id_pkey",
-        "user__external_user_group_id",
-        type_="primary",
-    )
-
-    # Add the new composite primary key
-    op.create_primary_key(
-        "user__external_user_group_id_pkey",
-        "user__external_user_group_id",
-        ["user_id", "external_user_group_id", "cc_pair_id"],
-    )
-
-
-def downgrade() -> None:
-    # Drop the composite primary key
-    op.drop_constraint(
-        "user__external_user_group_id_pkey",
-        "user__external_user_group_id",
-        type_="primary",
-    )
-    # Delete all entries from the table
-    op.execute("DELETE FROM user__external_user_group_id")
-
-    # Recreate the original primary key on user_id
-    op.create_primary_key(
-        "user__external_user_group_id_pkey", "user__external_user_group_id", ["user_id"]
-    )

backend/alembic/versions/473a1a7ca408_add_display_model_names_to_llm_provider.py

@@ -1,49 +0,0 @@
-"""Add display_model_names to llm_provider
-
-Revision ID: 473a1a7ca408
-Revises: 325975216eb3
-Create Date: 2024-07-25 14:31:02.002917
-
-"""
-
-from alembic import op
-import sqlalchemy as sa
-from sqlalchemy.dialects import postgresql
-
-# revision identifiers, used by Alembic.
-revision = "473a1a7ca408"
-down_revision = "325975216eb3"
-branch_labels: None = None
-depends_on: None = None
-
-default_models_by_provider = {
-    "openai": ["gpt-4", "gpt-4o", "gpt-4o-mini"],
-    "bedrock": [
-        "meta.llama3-1-70b-instruct-v1:0",
-        "meta.llama3-1-8b-instruct-v1:0",
-        "anthropic.claude-3-opus-20240229-v1:0",
-        "mistral.mistral-large-2402-v1:0",
-        "anthropic.claude-3-5-sonnet-20240620-v1:0",
-    ],
-    "anthropic": ["claude-3-opus-20240229", "claude-3-5-sonnet-20240620"],
-}
-
-
-def upgrade() -> None:
-    op.add_column(
-        "llm_provider",
-        sa.Column("display_model_names", postgresql.ARRAY(sa.String()), nullable=True),
-    )
-
-    connection = op.get_bind()
-    for provider, models in default_models_by_provider.items():
-        connection.execute(
-            sa.text(
-                "UPDATE llm_provider SET display_model_names = :models WHERE provider = :provider"
-            ),
-            {"models": models, "provider": provider},
-        )
-
-
-def downgrade() -> None:
-    op.drop_column("llm_provider", "display_model_names")

backend/alembic/versions/4a951134c801_moved_status_to_connector_credential_.py

@@ -1,80 +0,0 @@
-"""Moved status to connector credential pair
-
-Revision ID: 4a951134c801
-Revises: 7477a5f5d728
-Create Date: 2024-08-10 19:20:34.527559
-
-"""
-from alembic import op
-import sqlalchemy as sa
-
-# revision identifiers, used by Alembic.
-revision = "4a951134c801"
-down_revision = "7477a5f5d728"
-branch_labels: None = None
-depends_on: None = None
-
-
-def upgrade() -> None:
-    op.add_column(
-        "connector_credential_pair",
-        sa.Column(
-            "status",
-            sa.Enum(
-                "ACTIVE",
-                "PAUSED",
-                "DELETING",
-                name="connectorcredentialpairstatus",
-                native_enum=False,
-            ),
-            nullable=True,
-        ),
-    )
-
-    # Update status of connector_credential_pair based on connector's disabled status
-    op.execute(
-        """
-        UPDATE connector_credential_pair
-        SET status = CASE
-            WHEN (
-                SELECT disabled
-                FROM connector
-                WHERE connector.id = connector_credential_pair.connector_id
-            ) = FALSE THEN 'ACTIVE'
-            ELSE 'PAUSED'
-        END
-        """
-    )
-
-    # Make the status column not nullable after setting values
-    op.alter_column("connector_credential_pair", "status", nullable=False)
-
-    op.drop_column("connector", "disabled")
-
-
-def downgrade() -> None:
-    op.add_column(
-        "connector",
-        sa.Column("disabled", sa.BOOLEAN(), autoincrement=False, nullable=True),
-    )
-
-    # Update disabled status of connector based on connector_credential_pair's status
-    op.execute(
-        """
-        UPDATE connector
-        SET disabled = CASE
-            WHEN EXISTS (
-                SELECT 1
-                FROM connector_credential_pair
-                WHERE connector_credential_pair.connector_id = connector.id
-                AND connector_credential_pair.status = 'ACTIVE'
-            ) THEN FALSE
-            ELSE TRUE
-        END
-        """
-    )
-
-    # Make the disabled column not nullable after setting values
-    op.alter_column("connector", "disabled", nullable=False)
-
-    op.drop_column("connector_credential_pair", "status")

backend/alembic/versions/4b08d97e175a_change_default_prune_freq.py

@@ -1,34 +0,0 @@
-"""change default prune_freq
-
-Revision ID: 4b08d97e175a
-Revises: d9ec13955951
-Create Date: 2024-08-20 15:28:52.993827
-
-"""
-from alembic import op
-
-# revision identifiers, used by Alembic.
-revision = "4b08d97e175a"
-down_revision = "d9ec13955951"
-branch_labels: None = None
-depends_on: None = None
-
-
-def upgrade() -> None:
-    op.execute(
-        """
-        UPDATE connector
-        SET prune_freq = 2592000
-        WHERE prune_freq = 86400
-        """
-    )
-
-
-def downgrade() -> None:
-    op.execute(
-        """
-        UPDATE connector
-        SET prune_freq = 86400
-        WHERE prune_freq = 2592000
-        """
-    )

backend/alembic/versions/4ea2c93919c1_add_type_to_credentials.py

@@ -1,72 +0,0 @@
-"""Add type to credentials
-
-Revision ID: 4ea2c93919c1
-Revises: 473a1a7ca408
-Create Date: 2024-07-18 13:07:13.655895
-
-"""
-
-from alembic import op
-import sqlalchemy as sa
-
-# revision identifiers, used by Alembic.
-revision = "4ea2c93919c1"
-down_revision = "473a1a7ca408"
-branch_labels: None = None
-depends_on: None = None
-
-
-def upgrade() -> None:
-    # Add the new 'source' column to the 'credential' table
-    op.add_column(
-        "credential",
-        sa.Column(
-            "source",
-            sa.String(length=100),  # Use String instead of Enum
-            nullable=True,  # Initially allow NULL values
-        ),
-    )
-    op.add_column(
-        "credential",
-        sa.Column(
-            "name",
-            sa.String(),
-            nullable=True,
-        ),
-    )
-
-    # Create a temporary table that maps each credential to a single connector source.
-    # This is needed because a credential can be associated with multiple connectors,
-    # but we want to assign a single source to each credential.
-    # We use DISTINCT ON to ensure we only get one row per credential_id.
-    op.execute(
-        """
-    CREATE TEMPORARY TABLE temp_connector_credential AS
-    SELECT DISTINCT ON (cc.credential_id)
-        cc.credential_id,
-        c.source AS connector_source
-    FROM connector_credential_pair cc
-    JOIN connector c ON cc.connector_id = c.id
-    """
-    )
-
-    # Update the 'source' column in the 'credential' table
-    op.execute(
-        """
-    UPDATE credential cred
-    SET source = COALESCE(
-        (SELECT connector_source
-         FROM temp_connector_credential temp
-         WHERE cred.id = temp.credential_id),
-        'NOT_APPLICABLE'
-    )
-    """
-    )
-    # If no exception was raised, alter the column
-    op.alter_column("credential", "source", nullable=True)  # TODO modify
-    # # ### end Alembic commands ###
-
-
-def downgrade() -> None:
-    op.drop_column("credential", "source")
-    op.drop_column("credential", "name")

backend/alembic/versions/52a219fb5233_add_last_synced_and_last_modified_to_document_table.py

@@ -1,66 +0,0 @@
-"""Add last synced and last modified to document table
-
-Revision ID: 52a219fb5233
-Revises: f7e58d357687
-Create Date: 2024-08-28 17:40:46.077470
-
-"""
-from alembic import op
-import sqlalchemy as sa
-from sqlalchemy.sql import func
-
-# revision identifiers, used by Alembic.
-revision = "52a219fb5233"
-down_revision = "f7e58d357687"
-branch_labels = None
-depends_on = None
-
-
-def upgrade() -> None:
-    # last modified represents the last time anything needing syncing to vespa changed
-    # including row metadata and the document itself. This obviously does not include
-    # the last_synced column.
-    op.add_column(
-        "document",
-        sa.Column(
-            "last_modified",
-            sa.DateTime(timezone=True),
-            nullable=False,
-            server_default=func.now(),
-        ),
-    )
-
-    # last synced represents the last time this document was synced to Vespa
-    op.add_column(
-        "document",
-        sa.Column("last_synced", sa.DateTime(timezone=True), nullable=True),
-    )
-
-    # Set last_synced to the same value as last_modified for existing rows
-    op.execute(
-        """
-        UPDATE document
-        SET last_synced = last_modified
-        """
-    )
-
-    op.create_index(
-        op.f("ix_document_last_modified"),
-        "document",
-        ["last_modified"],
-        unique=False,
-    )
-
-    op.create_index(
-        op.f("ix_document_last_synced"),
-        "document",
-        ["last_synced"],
-        unique=False,
-    )
-
-
-def downgrade() -> None:
-    op.drop_index(op.f("ix_document_last_synced"), table_name="document")
-    op.drop_index(op.f("ix_document_last_modified"), table_name="document")
-    op.drop_column("document", "last_synced")
-    op.drop_column("document", "last_modified")

backend/alembic/versions/55546a7967ee_assistant_rework.py

@@ -1,79 +0,0 @@
-"""assistant_rework
-
-Revision ID: 55546a7967ee
-Revises: 61ff3651add4
-Create Date: 2024-09-18 17:00:23.755399
-
-"""
-from alembic import op
-import sqlalchemy as sa
-from sqlalchemy.dialects import postgresql
-
-
-# revision identifiers, used by Alembic.
-revision = "55546a7967ee"
-down_revision = "61ff3651add4"
-branch_labels = None
-depends_on = None
-
-
-def upgrade() -> None:
-    # Reworking persona and user tables for new assistant features
-    # keep track of user's chosen assistants separate from their `ordering`
-    op.add_column("persona", sa.Column("builtin_persona", sa.Boolean(), nullable=True))
-    op.execute("UPDATE persona SET builtin_persona = default_persona")
-    op.alter_column("persona", "builtin_persona", nullable=False)
-    op.drop_index("_default_persona_name_idx", table_name="persona")
-    op.create_index(
-        "_builtin_persona_name_idx",
-        "persona",
-        ["name"],
-        unique=True,
-        postgresql_where=sa.text("builtin_persona = true"),
-    )
-
-    op.add_column(
-        "user", sa.Column("visible_assistants", postgresql.JSONB(), nullable=True)
-    )
-    op.add_column(
-        "user", sa.Column("hidden_assistants", postgresql.JSONB(), nullable=True)
-    )
-    op.execute(
-        "UPDATE \"user\" SET visible_assistants = '[]'::jsonb, hidden_assistants = '[]'::jsonb"
-    )
-    op.alter_column(
-        "user",
-        "visible_assistants",
-        nullable=False,
-        server_default=sa.text("'[]'::jsonb"),
-    )
-    op.alter_column(
-        "user",
-        "hidden_assistants",
-        nullable=False,
-        server_default=sa.text("'[]'::jsonb"),
-    )
-    op.drop_column("persona", "default_persona")
-    op.add_column(
-        "persona", sa.Column("is_default_persona", sa.Boolean(), nullable=True)
-    )
-
-
-def downgrade() -> None:
-    # Reverting changes made in upgrade
-    op.drop_column("user", "hidden_assistants")
-    op.drop_column("user", "visible_assistants")
-    op.drop_index("_builtin_persona_name_idx", table_name="persona")
-
-    op.drop_column("persona", "is_default_persona")
-    op.add_column("persona", sa.Column("default_persona", sa.Boolean(), nullable=True))
-    op.execute("UPDATE persona SET default_persona = builtin_persona")
-    op.alter_column("persona", "default_persona", nullable=False)
-    op.drop_column("persona", "builtin_persona")
-    op.create_index(
-        "_default_persona_name_idx",
-        "persona",
-        ["name"],
-        unique=True,
-        postgresql_where=sa.text("default_persona = true"),
-    )

backend/alembic/versions/5c7fdadae813_match_any_keywords_flag_for_standard_.py

@@ -1,35 +0,0 @@
-"""match_any_keywords flag for standard answers
-
-Revision ID: 5c7fdadae813
-Revises: efb35676026c
-Create Date: 2024-09-13 18:52:59.256478
-
-"""
-from alembic import op
-import sqlalchemy as sa
-
-# revision identifiers, used by Alembic.
-revision = "5c7fdadae813"
-down_revision = "efb35676026c"
-branch_labels = None
-depends_on = None
-
-
-def upgrade() -> None:
-    # ### commands auto generated by Alembic - please adjust! ###
-    op.add_column(
-        "standard_answer",
-        sa.Column(
-            "match_any_keywords",
-            sa.Boolean(),
-            nullable=False,
-            server_default=sa.false(),
-        ),
-    )
-    # ### end Alembic commands ###
-
-
-def downgrade() -> None:
-    # ### commands auto generated by Alembic - please adjust! ###
-    op.drop_column("standard_answer", "match_any_keywords")
-    # ### end Alembic commands ###

backend/alembic/versions/5fc1f54cc252_hybrid_enum.py

@@ -1,25 +0,0 @@
-"""hybrid-enum
-
-Revision ID: 5fc1f54cc252
-Revises: 1d6ad76d1f37
-Create Date: 2024-08-06 15:35:40.278485
-
-"""
-from alembic import op
-import sqlalchemy as sa
-
-# revision identifiers, used by Alembic.
-revision = "5fc1f54cc252"
-down_revision = "1d6ad76d1f37"
-branch_labels: None = None
-depends_on: None = None
-
-
-def upgrade() -> None:
-    op.drop_column("persona", "search_type")
-
-
-def downgrade() -> None:
-    op.add_column("persona", sa.Column("search_type", sa.String(), nullable=True))
-    op.execute("UPDATE persona SET search_type = 'SEMANTIC'")
-    op.alter_column("persona", "search_type", nullable=False)

backend/alembic/versions/61ff3651add4_add_permission_syncing.py

@@ -1,162 +0,0 @@
-"""Add Permission Syncing
-
-Revision ID: 61ff3651add4
-Revises: 1b8206b29c5d
-Create Date: 2024-09-05 13:57:11.770413
-
-"""
-import fastapi_users_db_sqlalchemy
-
-from alembic import op
-import sqlalchemy as sa
-from sqlalchemy.dialects import postgresql
-
-# revision identifiers, used by Alembic.
-revision = "61ff3651add4"
-down_revision = "1b8206b29c5d"
-branch_labels = None
-depends_on = None
-
-
-def upgrade() -> None:
-    # Admin user who set up connectors will lose access to the docs temporarily
-    # only way currently to give back access is to rerun from beginning
-    op.add_column(
-        "connector_credential_pair",
-        sa.Column(
-            "access_type",
-            sa.String(),
-            nullable=True,
-        ),
-    )
-    op.execute(
-        "UPDATE connector_credential_pair SET access_type = 'PUBLIC' WHERE is_public = true"
-    )
-    op.execute(
-        "UPDATE connector_credential_pair SET access_type = 'PRIVATE' WHERE is_public = false"
-    )
-    op.alter_column("connector_credential_pair", "access_type", nullable=False)
-
-    op.add_column(
-        "connector_credential_pair",
-        sa.Column(
-            "auto_sync_options",
-            postgresql.JSONB(astext_type=sa.Text()),
-            nullable=True,
-        ),
-    )
-    op.add_column(
-        "connector_credential_pair",
-        sa.Column("last_time_perm_sync", sa.DateTime(timezone=True), nullable=True),
-    )
-    op.drop_column("connector_credential_pair", "is_public")
-
-    op.add_column(
-        "document",
-        sa.Column("external_user_emails", postgresql.ARRAY(sa.String()), nullable=True),
-    )
-    op.add_column(
-        "document",
-        sa.Column(
-            "external_user_group_ids", postgresql.ARRAY(sa.String()), nullable=True
-        ),
-    )
-    op.add_column(
-        "document",
-        sa.Column("is_public", sa.Boolean(), nullable=True),
-    )
-
-    op.create_table(
-        "user__external_user_group_id",
-        sa.Column(
-            "user_id", fastapi_users_db_sqlalchemy.generics.GUID(), nullable=False
-        ),
-        sa.Column("external_user_group_id", sa.String(), nullable=False),
-        sa.Column("cc_pair_id", sa.Integer(), nullable=False),
-        sa.PrimaryKeyConstraint("user_id"),
-    )
-
-    op.drop_column("external_permission", "user_id")
-    op.drop_column("email_to_external_user_cache", "user_id")
-    op.drop_table("permission_sync_run")
-    op.drop_table("external_permission")
-    op.drop_table("email_to_external_user_cache")
-
-
-def downgrade() -> None:
-    op.add_column(
-        "connector_credential_pair",
-        sa.Column("is_public", sa.BOOLEAN(), nullable=True),
-    )
-    op.execute(
-        "UPDATE connector_credential_pair SET is_public = (access_type = 'PUBLIC')"
-    )
-    op.alter_column("connector_credential_pair", "is_public", nullable=False)
-
-    op.drop_column("connector_credential_pair", "auto_sync_options")
-    op.drop_column("connector_credential_pair", "access_type")
-    op.drop_column("connector_credential_pair", "last_time_perm_sync")
-    op.drop_column("document", "external_user_emails")
-    op.drop_column("document", "external_user_group_ids")
-    op.drop_column("document", "is_public")
-
-    op.drop_table("user__external_user_group_id")
-
-    # Drop the enum type at the end of the downgrade
-    op.create_table(
-        "permission_sync_run",
-        sa.Column("id", sa.Integer(), nullable=False),
-        sa.Column(
-            "source_type",
-            sa.String(),
-            nullable=False,
-        ),
-        sa.Column("update_type", sa.String(), nullable=False),
-        sa.Column("cc_pair_id", sa.Integer(), nullable=True),
-        sa.Column(
-            "status",
-            sa.String(),
-            nullable=False,
-        ),
-        sa.Column("error_msg", sa.Text(), nullable=True),
-        sa.Column(
-            "updated_at",
-            sa.DateTime(timezone=True),
-            server_default=sa.text("now()"),
-            nullable=False,
-        ),
-        sa.ForeignKeyConstraint(
-            ["cc_pair_id"],
-            ["connector_credential_pair.id"],
-        ),
-        sa.PrimaryKeyConstraint("id"),
-    )
-    op.create_table(
-        "external_permission",
-        sa.Column("id", sa.Integer(), nullable=False),
-        sa.Column("user_id", sa.UUID(), nullable=True),
-        sa.Column("user_email", sa.String(), nullable=False),
-        sa.Column(
-            "source_type",
-            sa.String(),
-            nullable=False,
-        ),
-        sa.Column("external_permission_group", sa.String(), nullable=False),
-        sa.ForeignKeyConstraint(
-            ["user_id"],
-            ["user.id"],
-        ),
-        sa.PrimaryKeyConstraint("id"),
-    )
-    op.create_table(
-        "email_to_external_user_cache",
-        sa.Column("id", sa.Integer(), nullable=False),
-        sa.Column("external_user_id", sa.String(), nullable=False),
-        sa.Column("user_id", sa.UUID(), nullable=True),
-        sa.Column("user_email", sa.String(), nullable=False),
-        sa.ForeignKeyConstraint(
-            ["user_id"],
-            ["user.id"],
-        ),
-        sa.PrimaryKeyConstraint("id"),
-    )

backend/alembic/versions/703313b75876_add_tokenratelimit_tables.py

@@ -9,7 +9,7 @@ import json
 from typing import cast
 from alembic import op
 import sqlalchemy as sa
-from danswer.key_value_store.factory import get_kv_store
+from danswer.dynamic_configs.factory import get_dynamic_config_store
 
 # revision identifiers, used by Alembic.
 revision = "703313b75876"
@@ -54,7 +54,9 @@ def upgrade() -> None:
     )
 
     try:
-        settings_json = cast(str, get_kv_store().load("token_budget_settings"))
+        settings_json = cast(
+            str, get_dynamic_config_store().load("token_budget_settings")
+        )
         settings = json.loads(settings_json)
 
         is_enabled = settings.get("enable_token_budget", False)
@@ -69,7 +71,7 @@ def upgrade() -> None:
             )
 
         # Delete the dynamic config
-        get_kv_store().delete("token_budget_settings")
+        get_dynamic_config_store().delete("token_budget_settings")
 
     except Exception:
         # Ignore if the dynamic config is not found

backend/alembic/versions/7477a5f5d728_added_model_defaults_for_users.py

@@ -1,24 +0,0 @@
-"""Added model defaults for users
-
-Revision ID: 7477a5f5d728
-Revises: 213fd978c6d8
-Create Date: 2024-08-04 19:00:04.512634
-
-"""
-
-from alembic import op
-import sqlalchemy as sa
-
-# revision identifiers, used by Alembic.
-revision = "7477a5f5d728"
-down_revision = "213fd978c6d8"
-branch_labels: None = None
-depends_on: None = None
-
-
-def upgrade() -> None:
-    op.add_column("user", sa.Column("default_model", sa.Text(), nullable=True))
-
-
-def downgrade() -> None:
-    op.drop_column("user", "default_model")

backend/alembic/versions/76b60d407dfb_cc_pair_name_not_unique.py

@@ -28,9 +28,5 @@ def upgrade() -> None:
 
 
 def downgrade() -> None:
-    op.create_unique_constraint(
-        "connector_credential_pair__name__key", "connector_credential_pair", ["name"]
-    )
-    op.alter_column(
-        "connector_credential_pair", "name", existing_type=sa.String(), nullable=True
-    )
+    # This wasn't really required by the code either, no good reason to make it unique again
+    pass

backend/alembic/versions/776b3bbe9092_remove_remaining_enums.py

@@ -10,7 +10,7 @@ import sqlalchemy as sa
 
 from danswer.db.models import IndexModelStatus
 from danswer.search.enums import RecencyBiasSetting
-from danswer.search.enums import SearchType
+from danswer.search.models import SearchType
 
 # revision identifiers, used by Alembic.
 revision = "776b3bbe9092"

backend/alembic/versions/795b20b85b4b_add_llm_group_permissions_control.py

@@ -1,41 +0,0 @@
-"""add_llm_group_permissions_control
-
-Revision ID: 795b20b85b4b
-Revises: 05c07bf07c00
-Create Date: 2024-07-19 11:54:35.701558
-
-"""
-from alembic import op
-import sqlalchemy as sa
-
-
-revision = "795b20b85b4b"
-down_revision = "05c07bf07c00"
-branch_labels: None = None
-depends_on: None = None
-
-
-def upgrade() -> None:
-    op.create_table(
-        "llm_provider__user_group",
-        sa.Column("llm_provider_id", sa.Integer(), nullable=False),
-        sa.Column("user_group_id", sa.Integer(), nullable=False),
-        sa.ForeignKeyConstraint(
-            ["llm_provider_id"],
-            ["llm_provider.id"],
-        ),
-        sa.ForeignKeyConstraint(
-            ["user_group_id"],
-            ["user_group.id"],
-        ),
-        sa.PrimaryKeyConstraint("llm_provider_id", "user_group_id"),
-    )
-    op.add_column(
-        "llm_provider",
-        sa.Column("is_public", sa.Boolean(), nullable=False, server_default="true"),
-    )
-
-
-def downgrade() -> None:
-    op.drop_table("llm_provider__user_group")
-    op.drop_column("llm_provider", "is_public")

backend/alembic/versions/797089dfb4d2_persona_start_date.py

@@ -1,27 +0,0 @@
-"""persona_start_date
-
-Revision ID: 797089dfb4d2
-Revises: 55546a7967ee
-Create Date: 2024-09-11 14:51:49.785835
-
-"""
-from alembic import op
-import sqlalchemy as sa
-
-
-# revision identifiers, used by Alembic.
-revision = "797089dfb4d2"
-down_revision = "55546a7967ee"
-branch_labels = None
-depends_on = None
-
-
-def upgrade() -> None:
-    op.add_column(
-        "persona",
-        sa.Column("search_start_date", sa.DateTime(timezone=True), nullable=True),
-    )
-
-
-def downgrade() -> None:
-    op.drop_column("persona", "search_start_date")

backend/alembic/versions/8a87bd6ec550_associate_index_attempts_with_ccpair.py

@@ -1,107 +0,0 @@
-"""associate index attempts with ccpair
-
-Revision ID: 8a87bd6ec550
-Revises: 4ea2c93919c1
-Create Date: 2024-07-22 15:15:52.558451
-
-"""
-from alembic import op
-import sqlalchemy as sa
-
-# revision identifiers, used by Alembic.
-revision = "8a87bd6ec550"
-down_revision = "4ea2c93919c1"
-branch_labels: None = None
-depends_on: None = None
-
-
-def upgrade() -> None:
-    # Add the new connector_credential_pair_id column
-    op.add_column(
-        "index_attempt",
-        sa.Column("connector_credential_pair_id", sa.Integer(), nullable=True),
-    )
-
-    # Create a foreign key constraint to the connector_credential_pair table
-    op.create_foreign_key(
-        "fk_index_attempt_connector_credential_pair_id",
-        "index_attempt",
-        "connector_credential_pair",
-        ["connector_credential_pair_id"],
-        ["id"],
-    )
-
-    # Populate the new connector_credential_pair_id column using existing connector_id and credential_id
-    op.execute(
-        """
-        UPDATE index_attempt ia
-        SET connector_credential_pair_id = (
-            SELECT id FROM connector_credential_pair ccp
-            WHERE
-                (ia.connector_id IS NULL OR ccp.connector_id = ia.connector_id)
-                AND (ia.credential_id IS NULL OR ccp.credential_id = ia.credential_id)
-            LIMIT 1
-        )
-        WHERE ia.connector_id IS NOT NULL OR ia.credential_id IS NOT NULL
-        """
-    )
-
-    # For good measure
-    op.execute(
-        """
-        DELETE FROM index_attempt
-        WHERE connector_credential_pair_id IS NULL
-        """
-    )
-
-    # Make the new connector_credential_pair_id column non-nullable
-    op.alter_column("index_attempt", "connector_credential_pair_id", nullable=False)
-
-    # Drop the old connector_id and credential_id columns
-    op.drop_column("index_attempt", "connector_id")
-    op.drop_column("index_attempt", "credential_id")
-
-    # Update the index to use connector_credential_pair_id
-    op.create_index(
-        "ix_index_attempt_latest_for_connector_credential_pair",
-        "index_attempt",
-        ["connector_credential_pair_id", "time_created"],
-    )
-
-
-def downgrade() -> None:
-    # Add back the old connector_id and credential_id columns
-    op.add_column(
-        "index_attempt", sa.Column("connector_id", sa.Integer(), nullable=True)
-    )
-    op.add_column(
-        "index_attempt", sa.Column("credential_id", sa.Integer(), nullable=True)
-    )
-
-    # Populate the old connector_id and credential_id columns using the connector_credential_pair_id
-    op.execute(
-        """
-        UPDATE index_attempt ia
-        SET connector_id = ccp.connector_id, credential_id = ccp.credential_id
-        FROM connector_credential_pair ccp
-        WHERE ia.connector_credential_pair_id = ccp.id
-        """
-    )
-
-    # Make the old connector_id and credential_id columns non-nullable
-    op.alter_column("index_attempt", "connector_id", nullable=False)
-    op.alter_column("index_attempt", "credential_id", nullable=False)
-
-    # Drop the new connector_credential_pair_id column
-    op.drop_constraint(
-        "fk_index_attempt_connector_credential_pair_id",
-        "index_attempt",
-        type_="foreignkey",
-    )
-    op.drop_column("index_attempt", "connector_credential_pair_id")
-
-    op.create_index(
-        "ix_index_attempt_latest_for_connector_credential_pair",
-        "index_attempt",
-        ["connector_id", "credential_id", "time_created"],
-    )

backend/alembic/versions/91ffac7e65b3_add_expiry_time.py

@@ -1,26 +0,0 @@
-"""add expiry time
-
-Revision ID: 91ffac7e65b3
-Revises: bc9771dccadf
-Create Date: 2024-06-24 09:39:56.462242
-
-"""
-
-from alembic import op
-import sqlalchemy as sa
-
-# revision identifiers, used by Alembic.
-revision = "91ffac7e65b3"
-down_revision = "795b20b85b4b"
-branch_labels: None = None
-depends_on: None = None
-
-
-def upgrade() -> None:
-    op.add_column(
-        "user", sa.Column("oidc_expiry", sa.DateTime(timezone=True), nullable=True)
-    )
-
-
-def downgrade() -> None:
-    op.drop_column("user", "oidc_expiry")

backend/alembic/versions/a3795dce87be_migration_confluence_to_be_explicit.py

@@ -1,158 +0,0 @@
-"""migration confluence to be explicit
-
-Revision ID: a3795dce87be
-Revises: 1f60f60c3401
-Create Date: 2024-09-01 13:52:12.006740
-
-"""
-from alembic import op
-import sqlalchemy as sa
-from sqlalchemy.dialects import postgresql
-from sqlalchemy.sql import table, column
-
-revision = "a3795dce87be"
-down_revision = "1f60f60c3401"
-branch_labels: None = None
-depends_on: None = None
-
-
-def extract_confluence_keys_from_url(wiki_url: str) -> tuple[str, str, str, bool]:
-    from urllib.parse import urlparse
-
-    def _extract_confluence_keys_from_cloud_url(wiki_url: str) -> tuple[str, str, str]:
-        parsed_url = urlparse(wiki_url)
-        wiki_base = f"{parsed_url.scheme}://{parsed_url.netloc}{parsed_url.path.split('/spaces')[0]}"
-        path_parts = parsed_url.path.split("/")
-        space = path_parts[3]
-        page_id = path_parts[5] if len(path_parts) > 5 else ""
-        return wiki_base, space, page_id
-
-    def _extract_confluence_keys_from_datacenter_url(
-        wiki_url: str,
-    ) -> tuple[str, str, str]:
-        DISPLAY = "/display/"
-        PAGE = "/pages/"
-        parsed_url = urlparse(wiki_url)
-        wiki_base = f"{parsed_url.scheme}://{parsed_url.netloc}{parsed_url.path.split(DISPLAY)[0]}"
-        space = DISPLAY.join(parsed_url.path.split(DISPLAY)[1:]).split("/")[0]
-        page_id = ""
-        if (content := parsed_url.path.split(PAGE)) and len(content) > 1:
-            page_id = content[1]
-        return wiki_base, space, page_id
-
-    is_confluence_cloud = (
-        ".atlassian.net/wiki/spaces/" in wiki_url
-        or ".jira.com/wiki/spaces/" in wiki_url
-    )
-
-    if is_confluence_cloud:
-        wiki_base, space, page_id = _extract_confluence_keys_from_cloud_url(wiki_url)
-    else:
-        wiki_base, space, page_id = _extract_confluence_keys_from_datacenter_url(
-            wiki_url
-        )
-
-    return wiki_base, space, page_id, is_confluence_cloud
-
-
-def reconstruct_confluence_url(
-    wiki_base: str, space: str, page_id: str, is_cloud: bool
-) -> str:
-    if is_cloud:
-        url = f"{wiki_base}/spaces/{space}"
-        if page_id:
-            url += f"/pages/{page_id}"
-    else:
-        url = f"{wiki_base}/display/{space}"
-        if page_id:
-            url += f"/pages/{page_id}"
-    return url
-
-
-def upgrade() -> None:
-    connector = table(
-        "connector",
-        column("id", sa.Integer),
-        column("source", sa.String()),
-        column("input_type", sa.String()),
-        column("connector_specific_config", postgresql.JSONB),
-    )
-
-    # Fetch all Confluence connectors
-    connection = op.get_bind()
-    confluence_connectors = connection.execute(
-        sa.select(connector).where(
-            sa.and_(
-                connector.c.source == "CONFLUENCE", connector.c.input_type == "POLL"
-            )
-        )
-    ).fetchall()
-
-    for row in confluence_connectors:
-        config = row.connector_specific_config
-        wiki_page_url = config["wiki_page_url"]
-        wiki_base, space, page_id, is_cloud = extract_confluence_keys_from_url(
-            wiki_page_url
-        )
-
-        new_config = {
-            "wiki_base": wiki_base,
-            "space": space,
-            "page_id": page_id,
-            "is_cloud": is_cloud,
-        }
-
-        for key, value in config.items():
-            if key not in ["wiki_page_url"]:
-                new_config[key] = value
-
-        op.execute(
-            connector.update()
-            .where(connector.c.id == row.id)
-            .values(connector_specific_config=new_config)
-        )
-
-
-def downgrade() -> None:
-    connector = table(
-        "connector",
-        column("id", sa.Integer),
-        column("source", sa.String()),
-        column("input_type", sa.String()),
-        column("connector_specific_config", postgresql.JSONB),
-    )
-
-    confluence_connectors = (
-        op.get_bind()
-        .execute(
-            sa.select(connector).where(
-                connector.c.source == "CONFLUENCE", connector.c.input_type == "POLL"
-            )
-        )
-        .fetchall()
-    )
-
-    for row in confluence_connectors:
-        config = row.connector_specific_config
-        if all(key in config for key in ["wiki_base", "space", "is_cloud"]):
-            wiki_page_url = reconstruct_confluence_url(
-                config["wiki_base"],
-                config["space"],
-                config.get("page_id", ""),
-                config["is_cloud"],
-            )
-
-            new_config = {"wiki_page_url": wiki_page_url}
-            new_config.update(
-                {
-                    k: v
-                    for k, v in config.items()
-                    if k not in ["wiki_base", "space", "page_id", "is_cloud"]
-                }
-            )
-
-            op.execute(
-                connector.update()
-                .where(connector.c.id == row.id)
-                .values(connector_specific_config=new_config)
-            )

backend/alembic/versions/ac5eaac849f9_add_last_pruned_to_connector_table.py

@@ -1,27 +0,0 @@
-"""add last_pruned to the connector_credential_pair table
-
-Revision ID: ac5eaac849f9
-Revises: 52a219fb5233
-Create Date: 2024-09-10 15:04:26.437118
-
-"""
-from alembic import op
-import sqlalchemy as sa
-
-# revision identifiers, used by Alembic.
-revision = "ac5eaac849f9"
-down_revision = "46b7a812670f"
-branch_labels = None
-depends_on = None
-
-
-def upgrade() -> None:
-    # last pruned represents the last time the connector was pruned
-    op.add_column(
-        "connector_credential_pair",
-        sa.Column("last_pruned", sa.DateTime(timezone=True), nullable=True),
-    )
-
-
-def downgrade() -> None:
-    op.drop_column("connector_credential_pair", "last_pruned")

backend/alembic/versions/b082fec533f0_make_last_attempt_status_nullable.py

@@ -16,6 +16,7 @@ depends_on: None = None
 
 
 def upgrade() -> None:
+    # ### commands auto generated by Alembic - please adjust! ###
     op.alter_column(
         "connector_credential_pair",
         "last_attempt_status",
@@ -28,9 +29,11 @@ def upgrade() -> None:
         ),
         nullable=True,
     )
+    # ### end Alembic commands ###
 
 
 def downgrade() -> None:
+    # ### commands auto generated by Alembic - please adjust! ###
     op.alter_column(
         "connector_credential_pair",
         "last_attempt_status",
@@ -43,3 +46,4 @@ def downgrade() -> None:
         ),
         nullable=False,
     )
+    # ### end Alembic commands ###

backend/alembic/versions/ba98eba0f66a_add_support_for_litellm_proxy_in_.py

@@ -1,26 +0,0 @@
-"""add support for litellm proxy in reranking
-
-Revision ID: ba98eba0f66a
-Revises: bceb1e139447
-Create Date: 2024-09-06 10:36:04.507332
-
-"""
-from alembic import op
-import sqlalchemy as sa
-
-
-# revision identifiers, used by Alembic.
-revision = "ba98eba0f66a"
-down_revision = "bceb1e139447"
-branch_labels: None = None
-depends_on: None = None
-
-
-def upgrade() -> None:
-    op.add_column(
-        "search_settings", sa.Column("rerank_api_url", sa.String(), nullable=True)
-    )
-
-
-def downgrade() -> None:
-    op.drop_column("search_settings", "rerank_api_url")

backend/alembic/versions/bceb1e139447_add_base_url_to_cloudembeddingprovider.py

@@ -1,26 +0,0 @@
-"""Add base_url to CloudEmbeddingProvider
-
-Revision ID: bceb1e139447
-Revises: a3795dce87be
-Create Date: 2024-08-28 17:00:52.554580
-
-"""
-from alembic import op
-import sqlalchemy as sa
-
-
-# revision identifiers, used by Alembic.
-revision = "bceb1e139447"
-down_revision = "a3795dce87be"
-branch_labels: None = None
-depends_on: None = None
-
-
-def upgrade() -> None:
-    op.add_column(
-        "embedding_provider", sa.Column("api_url", sa.String(), nullable=True)
-    )
-
-
-def downgrade() -> None:
-    op.drop_column("embedding_provider", "api_url")

backend/alembic/versions/bd2921608c3a_non_nullable_default_persona.py

@@ -1,43 +0,0 @@
-"""non nullable default persona
-
-Revision ID: bd2921608c3a
-Revises: 797089dfb4d2
-Create Date: 2024-09-20 10:28:37.992042
-
-"""
-from alembic import op
-import sqlalchemy as sa
-
-
-# revision identifiers, used by Alembic.
-revision = "bd2921608c3a"
-down_revision = "797089dfb4d2"
-branch_labels = None
-depends_on = None
-
-
-def upgrade() -> None:
-    # Set existing NULL values to False
-    op.execute(
-        "UPDATE persona SET is_default_persona = FALSE WHERE is_default_persona IS NULL"
-    )
-
-    # Alter the column to be not nullable with a default value of False
-    op.alter_column(
-        "persona",
-        "is_default_persona",
-        existing_type=sa.Boolean(),
-        nullable=False,
-        server_default=sa.text("false"),
-    )
-
-
-def downgrade() -> None:
-    # Revert the changes
-    op.alter_column(
-        "persona",
-        "is_default_persona",
-        existing_type=sa.Boolean(),
-        nullable=True,
-        server_default=None,
-    )

backend/alembic/versions/c5b692fa265c_add_index_attempt_errors_table.py

@@ -1,57 +0,0 @@
-"""Add index_attempt_errors table
-
-Revision ID: c5b692fa265c
-Revises: 4a951134c801
-Create Date: 2024-08-08 14:06:39.581972
-
-"""
-from alembic import op
-import sqlalchemy as sa
-from sqlalchemy.dialects import postgresql
-
-# revision identifiers, used by Alembic.
-revision = "c5b692fa265c"
-down_revision = "4a951134c801"
-branch_labels: None = None
-depends_on: None = None
-
-
-def upgrade() -> None:
-    op.create_table(
-        "index_attempt_errors",
-        sa.Column("id", sa.Integer(), nullable=False),
-        sa.Column("index_attempt_id", sa.Integer(), nullable=True),
-        sa.Column("batch", sa.Integer(), nullable=True),
-        sa.Column(
-            "doc_summaries",
-            postgresql.JSONB(astext_type=sa.Text()),
-            nullable=False,
-        ),
-        sa.Column("error_msg", sa.Text(), nullable=True),
-        sa.Column("traceback", sa.Text(), nullable=True),
-        sa.Column(
-            "time_created",
-            sa.DateTime(timezone=True),
-            server_default=sa.text("now()"),
-            nullable=False,
-        ),
-        sa.ForeignKeyConstraint(
-            ["index_attempt_id"],
-            ["index_attempt.id"],
-        ),
-        sa.PrimaryKeyConstraint("id"),
-    )
-    op.create_index(
-        "index_attempt_id",
-        "index_attempt_errors",
-        ["time_created"],
-        unique=False,
-    )
-    # ### end Alembic commands ###
-
-
-def downgrade() -> None:
-    # ### commands auto generated by Alembic - please adjust! ###
-    op.drop_index("index_attempt_id", table_name="index_attempt_errors")
-    op.drop_table("index_attempt_errors")
-    # ### end Alembic commands ###

backend/alembic/versions/c99d76fcd298_add_nullable_to_persona_id_in_chat_.py

@@ -1,31 +0,0 @@
-"""add nullable to persona id in Chat Session
-
-Revision ID: c99d76fcd298
-Revises: 5c7fdadae813
-Create Date: 2024-07-09 19:27:01.579697
-
-"""
-
-from alembic import op
-import sqlalchemy as sa
-
-# revision identifiers, used by Alembic.
-revision = "c99d76fcd298"
-down_revision = "5c7fdadae813"
-branch_labels = None
-depends_on = None
-
-
-def upgrade() -> None:
-    op.alter_column(
-        "chat_session", "persona_id", existing_type=sa.INTEGER(), nullable=True
-    )
-
-
-def downgrade() -> None:
-    op.alter_column(
-        "chat_session",
-        "persona_id",
-        existing_type=sa.INTEGER(),
-        nullable=False,
-    )

backend/alembic/versions/d5645c915d0e_remove_deletion_attempt_table.py

@@ -19,9 +19,6 @@ depends_on: None = None
 def upgrade() -> None:
     op.drop_table("deletion_attempt")
 
-    # Remove the DeletionStatus enum
-    op.execute("DROP TYPE IF EXISTS deletionstatus;")
-
 
 def downgrade() -> None:
     op.create_table(

backend/alembic/versions/d9ec13955951_remove__dim_suffix_from_model_name.py

@@ -1,31 +0,0 @@
-"""Remove _alt suffix from model_name
-
-Revision ID: d9ec13955951
-Revises: da4c21c69164
-Create Date: 2024-08-20 16:31:32.955686
-
-"""
-
-from alembic import op
-
-
-# revision identifiers, used by Alembic.
-revision = "d9ec13955951"
-down_revision = "da4c21c69164"
-branch_labels: None = None
-depends_on: None = None
-
-
-def upgrade() -> None:
-    op.execute(
-        """
-        UPDATE embedding_model
-        SET model_name = regexp_replace(model_name, '__danswer_alt_index$', '')
-        WHERE model_name LIKE '%__danswer_alt_index'
-    """
-    )
-
-
-def downgrade() -> None:
-    # We can't reliably add the __danswer_alt_index suffix back, so we'll leave this empty
-    pass

backend/alembic/versions/da4c21c69164_chosen_assistants_changed_to_jsonb.py

@@ -1,65 +0,0 @@
-"""chosen_assistants changed to jsonb
-
-Revision ID: da4c21c69164
-Revises: c5b692fa265c
-Create Date: 2024-08-18 19:06:47.291491
-
-"""
-import json
-from alembic import op
-import sqlalchemy as sa
-from sqlalchemy.dialects import postgresql
-
-# revision identifiers, used by Alembic.
-revision = "da4c21c69164"
-down_revision = "c5b692fa265c"
-branch_labels: None = None
-depends_on: None = None
-
-
-def upgrade() -> None:
-    conn = op.get_bind()
-    existing_ids_and_chosen_assistants = conn.execute(
-        sa.text("select id, chosen_assistants from public.user")
-    )
-    op.drop_column(
-        "user",
-        "chosen_assistants",
-    )
-    op.add_column(
-        "user",
-        sa.Column(
-            "chosen_assistants",
-            postgresql.JSONB(astext_type=sa.Text()),
-            nullable=True,
-        ),
-    )
-    for id, chosen_assistants in existing_ids_and_chosen_assistants:
-        conn.execute(
-            sa.text(
-                "update public.user set chosen_assistants = :chosen_assistants where id = :id"
-            ),
-            {"chosen_assistants": json.dumps(chosen_assistants), "id": id},
-        )
-
-
-def downgrade() -> None:
-    conn = op.get_bind()
-    existing_ids_and_chosen_assistants = conn.execute(
-        sa.text("select id, chosen_assistants from public.user")
-    )
-    op.drop_column(
-        "user",
-        "chosen_assistants",
-    )
-    op.add_column(
-        "user",
-        sa.Column("chosen_assistants", postgresql.ARRAY(sa.Integer()), nullable=True),
-    )
-    for id, chosen_assistants in existing_ids_and_chosen_assistants:
-        conn.execute(
-            sa.text(
-                "update public.user set chosen_assistants = :chosen_assistants where id = :id"
-            ),
-            {"chosen_assistants": chosen_assistants, "id": id},
-        )

backend/alembic/versions/dbaa756c2ccf_embedding_models.py

@@ -9,7 +9,7 @@ from alembic import op
 import sqlalchemy as sa
 from sqlalchemy import table, column, String, Integer, Boolean
 
-from danswer.db.search_settings import (
+from danswer.db.embedding_model import (
     get_new_default_embedding_model,
     get_old_default_embedding_model,
     user_has_overridden_embedding_model,
@@ -71,14 +71,14 @@ def upgrade() -> None:
                 "query_prefix": old_embedding_model.query_prefix,
                 "passage_prefix": old_embedding_model.passage_prefix,
                 "index_name": old_embedding_model.index_name,
-                "status": IndexModelStatus.PRESENT,
+                "status": old_embedding_model.status,
             }
         ],
     )
     # if the user has not overridden the default embedding model via env variables,
     # insert the new default model into the database to auto-upgrade them
     if not user_has_overridden_embedding_model():
-        new_embedding_model = get_new_default_embedding_model()
+        new_embedding_model = get_new_default_embedding_model(is_present=False)
         op.bulk_insert(
             EmbeddingModel,
             [
@@ -136,4 +136,4 @@ def downgrade() -> None:
     )
     op.drop_column("index_attempt", "embedding_model_id")
     op.drop_table("embedding_model")
-    op.execute("DROP TYPE IF EXISTS indexmodelstatus;")
+    op.execute("DROP TYPE indexmodelstatus;")

backend/alembic/versions/e1392f05e840_added_input_prompts.py

@@ -1,58 +0,0 @@
-"""Added input prompts
-
-Revision ID: e1392f05e840
-Revises: 08a1eda20fe1
-Create Date: 2024-07-13 19:09:22.556224
-
-"""
-
-import fastapi_users_db_sqlalchemy
-
-from alembic import op
-import sqlalchemy as sa
-
-# revision identifiers, used by Alembic.
-revision = "e1392f05e840"
-down_revision = "08a1eda20fe1"
-branch_labels: None = None
-depends_on: None = None
-
-
-def upgrade() -> None:
-    op.create_table(
-        "inputprompt",
-        sa.Column("id", sa.Integer(), autoincrement=True, nullable=False),
-        sa.Column("prompt", sa.String(), nullable=False),
-        sa.Column("content", sa.String(), nullable=False),
-        sa.Column("active", sa.Boolean(), nullable=False),
-        sa.Column("is_public", sa.Boolean(), nullable=False),
-        sa.Column(
-            "user_id",
-            fastapi_users_db_sqlalchemy.generics.GUID(),
-            nullable=True,
-        ),
-        sa.ForeignKeyConstraint(
-            ["user_id"],
-            ["user.id"],
-        ),
-        sa.PrimaryKeyConstraint("id"),
-    )
-    op.create_table(
-        "inputprompt__user",
-        sa.Column("input_prompt_id", sa.Integer(), nullable=False),
-        sa.Column("user_id", sa.Integer(), nullable=False),
-        sa.ForeignKeyConstraint(
-            ["input_prompt_id"],
-            ["inputprompt.id"],
-        ),
-        sa.ForeignKeyConstraint(
-            ["user_id"],
-            ["inputprompt.id"],
-        ),
-        sa.PrimaryKeyConstraint("input_prompt_id", "user_id"),
-    )
-
-
-def downgrade() -> None:
-    op.drop_table("inputprompt__user")
-    op.drop_table("inputprompt")

backend/alembic/versions/ee3f4b47fad5_added_alternate_model_to_chat_message.py

@@ -1,28 +0,0 @@
-"""Added alternate model to chat message
-
-Revision ID: ee3f4b47fad5
-Revises: 2d2304e27d8c
-Create Date: 2024-08-12 00:11:50.915845
-
-"""
-
-from alembic import op
-import sqlalchemy as sa
-
-
-# revision identifiers, used by Alembic.
-revision = "ee3f4b47fad5"
-down_revision = "2d2304e27d8c"
-branch_labels: None = None
-depends_on: None = None
-
-
-def upgrade() -> None:
-    op.add_column(
-        "chat_message",
-        sa.Column("overridden_model", sa.String(length=255), nullable=True),
-    )
-
-
-def downgrade() -> None:
-    op.drop_column("chat_message", "overridden_model")

backend/alembic/versions/efb35676026c_standard_answer_match_regex_flag.py

@@ -1,32 +0,0 @@
-"""standard answer match_regex flag
-
-Revision ID: efb35676026c
-Revises: 0ebb1d516877
-Create Date: 2024-09-11 13:55:46.101149
-
-"""
-from alembic import op
-import sqlalchemy as sa
-
-# revision identifiers, used by Alembic.
-revision = "efb35676026c"
-down_revision = "0ebb1d516877"
-branch_labels = None
-depends_on = None
-
-
-def upgrade() -> None:
-    # ### commands auto generated by Alembic - please adjust! ###
-    op.add_column(
-        "standard_answer",
-        sa.Column(
-            "match_regex", sa.Boolean(), nullable=False, server_default=sa.false()
-        ),
-    )
-    # ### end Alembic commands ###
-
-
-def downgrade() -> None:
-    # ### commands auto generated by Alembic - please adjust! ###
-    op.drop_column("standard_answer", "match_regex")
-    # ### end Alembic commands ###

backend/alembic/versions/f17bf3b0d9f1_embedding_provider_by_provider_type.py

@@ -1,172 +0,0 @@
-"""embedding provider by provider type
-
-Revision ID: f17bf3b0d9f1
-Revises: 351faebd379d
-Create Date: 2024-08-21 13:13:31.120460
-
-"""
-
-from alembic import op
-import sqlalchemy as sa
-
-
-# revision identifiers, used by Alembic.
-revision = "f17bf3b0d9f1"
-down_revision = "351faebd379d"
-branch_labels: None = None
-depends_on: None = None
-
-
-def upgrade() -> None:
-    # Add provider_type column to embedding_provider
-    op.add_column(
-        "embedding_provider",
-        sa.Column("provider_type", sa.String(50), nullable=True),
-    )
-
-    # Update provider_type with existing name values
-    op.execute("UPDATE embedding_provider SET provider_type = UPPER(name)")
-
-    # Make provider_type not nullable
-    op.alter_column("embedding_provider", "provider_type", nullable=False)
-
-    # Drop the foreign key constraint in embedding_model table
-    op.drop_constraint(
-        "fk_embedding_model_cloud_provider", "embedding_model", type_="foreignkey"
-    )
-
-    # Drop the existing primary key constraint
-    op.drop_constraint("embedding_provider_pkey", "embedding_provider", type_="primary")
-
-    # Create a new primary key constraint on provider_type
-    op.create_primary_key(
-        "embedding_provider_pkey", "embedding_provider", ["provider_type"]
-    )
-
-    # Add provider_type column to embedding_model
-    op.add_column(
-        "embedding_model",
-        sa.Column("provider_type", sa.String(50), nullable=True),
-    )
-
-    # Update provider_type for existing embedding models
-    op.execute(
-        """
-        UPDATE embedding_model
-        SET provider_type = (
-            SELECT provider_type
-            FROM embedding_provider
-            WHERE embedding_provider.id = embedding_model.cloud_provider_id
-        )
-    """
-    )
-
-    # Drop the old id column from embedding_provider
-    op.drop_column("embedding_provider", "id")
-
-    # Drop the name column from embedding_provider
-    op.drop_column("embedding_provider", "name")
-
-    # Drop the default_model_id column from embedding_provider
-    op.drop_column("embedding_provider", "default_model_id")
-
-    # Drop the old cloud_provider_id column from embedding_model
-    op.drop_column("embedding_model", "cloud_provider_id")
-
-    # Create the new foreign key constraint
-    op.create_foreign_key(
-        "fk_embedding_model_cloud_provider",
-        "embedding_model",
-        "embedding_provider",
-        ["provider_type"],
-        ["provider_type"],
-    )
-
-
-def downgrade() -> None:
-    # Drop the foreign key constraint in embedding_model table
-    op.drop_constraint(
-        "fk_embedding_model_cloud_provider", "embedding_model", type_="foreignkey"
-    )
-
-    # Add back the cloud_provider_id column to embedding_model
-    op.add_column(
-        "embedding_model", sa.Column("cloud_provider_id", sa.Integer(), nullable=True)
-    )
-    op.add_column("embedding_provider", sa.Column("id", sa.Integer(), nullable=True))
-
-    # Assign incrementing IDs to embedding providers
-    op.execute(
-        """
-        CREATE SEQUENCE IF NOT EXISTS embedding_provider_id_seq;"""
-    )
-    op.execute(
-        """
-        UPDATE embedding_provider SET id = nextval('embedding_provider_id_seq');
-    """
-    )
-
-    # Update cloud_provider_id based on provider_type
-    op.execute(
-        """
-        UPDATE embedding_model
-        SET cloud_provider_id = CASE
-            WHEN provider_type IS NULL THEN NULL
-            ELSE (
-                SELECT id
-                FROM embedding_provider
-                WHERE embedding_provider.provider_type = embedding_model.provider_type
-            )
-        END
-    """
-    )
-
-    # Drop the provider_type column from embedding_model
-    op.drop_column("embedding_model", "provider_type")
-
-    # Add back the columns to embedding_provider
-    op.add_column("embedding_provider", sa.Column("name", sa.String(50), nullable=True))
-    op.add_column(
-        "embedding_provider", sa.Column("default_model_id", sa.Integer(), nullable=True)
-    )
-
-    # Drop the existing primary key constraint on provider_type
-    op.drop_constraint("embedding_provider_pkey", "embedding_provider", type_="primary")
-
-    # Create the original primary key constraint on id
-    op.create_primary_key("embedding_provider_pkey", "embedding_provider", ["id"])
-
-    # Update name with existing provider_type values
-    op.execute(
-        """
-        UPDATE embedding_provider
-        SET name = CASE
-            WHEN provider_type = 'OPENAI' THEN 'OpenAI'
-            WHEN provider_type = 'COHERE' THEN 'Cohere'
-            WHEN provider_type = 'GOOGLE' THEN 'Google'
-            WHEN provider_type = 'VOYAGE' THEN 'Voyage'
-            ELSE provider_type
-        END
-    """
-    )
-
-    # Drop the provider_type column from embedding_provider
-    op.drop_column("embedding_provider", "provider_type")
-
-    # Recreate the foreign key constraint in embedding_model table
-    op.create_foreign_key(
-        "fk_embedding_model_cloud_provider",
-        "embedding_model",
-        "embedding_provider",
-        ["cloud_provider_id"],
-        ["id"],
-    )
-
-    # Recreate the foreign key constraint in embedding_model table
-    op.create_foreign_key(
-        "fk_embedding_provider_default_model",
-        "embedding_provider",
-        "embedding_model",
-        ["default_model_id"],
-        ["id"],
-    )

backend/alembic/versions/f32615f71aeb_add_custom_headers_to_tools.py

@@ -1,26 +0,0 @@
-"""add custom headers to tools
-
-Revision ID: f32615f71aeb
-Revises: bd2921608c3a
-Create Date: 2024-09-12 20:26:38.932377
-
-"""
-from alembic import op
-import sqlalchemy as sa
-from sqlalchemy.dialects import postgresql
-
-# revision identifiers, used by Alembic.
-revision = "f32615f71aeb"
-down_revision = "bd2921608c3a"
-branch_labels = None
-depends_on = None
-
-
-def upgrade() -> None:
-    op.add_column(
-        "tool", sa.Column("custom_headers", postgresql.JSONB(), nullable=True)
-    )
-
-
-def downgrade() -> None:
-    op.drop_column("tool", "custom_headers")

backend/alembic/versions/f7e58d357687_add_has_web_column_to_user.py

@@ -1,26 +0,0 @@
-"""add has_web_login column to user
-
-Revision ID: f7e58d357687
-Revises: ba98eba0f66a
-Create Date: 2024-09-07 20:20:54.522620
-
-"""
-from alembic import op
-import sqlalchemy as sa
-
-# revision identifiers, used by Alembic.
-revision = "f7e58d357687"
-down_revision = "ba98eba0f66a"
-branch_labels: None = None
-depends_on: None = None
-
-
-def upgrade() -> None:
-    op.add_column(
-        "user",
-        sa.Column("has_web_login", sa.Boolean(), nullable=False, server_default="true"),
-    )
-
-
-def downgrade() -> None:
-    op.drop_column("user", "has_web_login")

backend/danswer/access/access.py

@@ -1,92 +1,41 @@
 from sqlalchemy.orm import Session
 
 from danswer.access.models import DocumentAccess
-from danswer.access.utils import prefix_user_email
+from danswer.access.utils import prefix_user
 from danswer.configs.constants import PUBLIC_DOC_PAT
-from danswer.db.document import get_access_info_for_document
-from danswer.db.document import get_access_info_for_documents
+from danswer.db.document import get_acccess_info_for_documents
 from danswer.db.models import User
+from danswer.server.documents.models import ConnectorCredentialPairIdentifier
 from danswer.utils.variable_functionality import fetch_versioned_implementation
 
 
-def _get_access_for_document(
-    document_id: str,
-    db_session: Session,
-) -> DocumentAccess:
-    info = get_access_info_for_document(
-        db_session=db_session,
-        document_id=document_id,
-    )
-
-    return DocumentAccess.build(
-        user_emails=info[1] if info and info[1] else [],
-        user_groups=[],
-        external_user_emails=[],
-        external_user_group_ids=[],
-        is_public=info[2] if info else False,
-    )
-
-
-def get_access_for_document(
-    document_id: str,
-    db_session: Session,
-) -> DocumentAccess:
-    versioned_get_access_for_document_fn = fetch_versioned_implementation(
-        "danswer.access.access", "_get_access_for_document"
-    )
-    return versioned_get_access_for_document_fn(document_id, db_session)  # type: ignore
-
-
-def get_null_document_access() -> DocumentAccess:
-    return DocumentAccess(
-        user_emails=set(),
-        user_groups=set(),
-        is_public=False,
-        external_user_emails=set(),
-        external_user_group_ids=set(),
-    )
-
-
 def _get_access_for_documents(
     document_ids: list[str],
     db_session: Session,
+    cc_pair_to_delete: ConnectorCredentialPairIdentifier | None = None,
 ) -> dict[str, DocumentAccess]:
-    document_access_info = get_access_info_for_documents(
+    document_access_info = get_acccess_info_for_documents(
         db_session=db_session,
         document_ids=document_ids,
+        cc_pair_to_delete=cc_pair_to_delete,
     )
-    doc_access = {
-        document_id: DocumentAccess(
-            user_emails=set([email for email in user_emails if email]),
-            # MIT version will wipe all groups and external groups on update
-            user_groups=set(),
-            is_public=is_public,
-            external_user_emails=set(),
-            external_user_group_ids=set(),
-        )
-        for document_id, user_emails, is_public in document_access_info
+    return {
+        document_id: DocumentAccess.build(user_ids, [], is_public)
+        for document_id, user_ids, is_public in document_access_info
     }
 
-    # Sometimes the document has not be indexed by the indexing job yet, in those cases
-    # the document does not exist and so we use least permissive. Specifically the EE version
-    # checks the MIT version permissions and creates a superset. This ensures that this flow
-    # does not fail even if the Document has not yet been indexed.
-    for doc_id in document_ids:
-        if doc_id not in doc_access:
-            doc_access[doc_id] = get_null_document_access()
-    return doc_access
-
 
 def get_access_for_documents(
     document_ids: list[str],
     db_session: Session,
+    cc_pair_to_delete: ConnectorCredentialPairIdentifier | None = None,
 ) -> dict[str, DocumentAccess]:
     """Fetches all access information for the given documents."""
     versioned_get_access_for_documents_fn = fetch_versioned_implementation(
         "danswer.access.access", "_get_access_for_documents"
     )
     return versioned_get_access_for_documents_fn(
-        document_ids, db_session
+        document_ids, db_session, cc_pair_to_delete
     )  # type: ignore
 
 
@@ -97,7 +46,7 @@ def _get_acl_for_user(user: User | None, db_session: Session) -> set[str]:
     matches one entry in the returned set.
     """
     if user:
-        return {prefix_user_email(user.email), PUBLIC_DOC_PAT}
+        return {prefix_user(str(user.id)), PUBLIC_DOC_PAT}
     return {PUBLIC_DOC_PAT}
 
 

backend/danswer/access/models.py

@@ -1,72 +1,30 @@
 from dataclasses import dataclass
+from uuid import UUID
 
-from danswer.access.utils import prefix_external_group
-from danswer.access.utils import prefix_user_email
+from danswer.access.utils import prefix_user
 from danswer.access.utils import prefix_user_group
 from danswer.configs.constants import PUBLIC_DOC_PAT
 
 
 @dataclass(frozen=True)
-class ExternalAccess:
-    # Emails of external users with access to the doc externally
-    external_user_emails: set[str]
-    # Names or external IDs of groups with access to the doc
-    external_user_group_ids: set[str]
-    # Whether the document is public in the external system or Danswer
+class DocumentAccess:
+    user_ids: set[str]  # stringified UUIDs
+    user_groups: set[str]  # names of user groups associated with this document
     is_public: bool
 
-
-@dataclass(frozen=True)
-class DocumentAccess(ExternalAccess):
-    # User emails for Danswer users, None indicates admin
-    user_emails: set[str | None]
-    # Names of user groups associated with this document
-    user_groups: set[str]
-
-    def to_acl(self) -> set[str]:
-        return set(
-            [
-                prefix_user_email(user_email)
-                for user_email in self.user_emails
-                if user_email
-            ]
+    def to_acl(self) -> list[str]:
+        return (
+            [prefix_user(user_id) for user_id in self.user_ids]
             + [prefix_user_group(group_name) for group_name in self.user_groups]
-            + [
-                prefix_user_email(user_email)
-                for user_email in self.external_user_emails
-            ]
-            + [
-                # The group names are already prefixed by the source type
-                # This adds an additional prefix of "external_group:"
-                prefix_external_group(group_name)
-                for group_name in self.external_user_group_ids
-            ]
             + ([PUBLIC_DOC_PAT] if self.is_public else [])
         )
 
     @classmethod
     def build(
-        cls,
-        user_emails: list[str | None],
-        user_groups: list[str],
-        external_user_emails: list[str],
-        external_user_group_ids: list[str],
-        is_public: bool,
+        cls, user_ids: list[UUID | None], user_groups: list[str], is_public: bool
     ) -> "DocumentAccess":
         return cls(
-            external_user_emails={
-                prefix_user_email(external_email)
-                for external_email in external_user_emails
-            },
-            external_user_group_ids={
-                prefix_external_group(external_group_id)
-                for external_group_id in external_user_group_ids
-            },
-            user_emails={
-                prefix_user_email(user_email)
-                for user_email in user_emails
-                if user_email
-            },
+            user_ids={str(user_id) for user_id in user_ids if user_id},
             user_groups=set(user_groups),
             is_public=is_public,
         )

backend/danswer/access/utils.py

@@ -1,24 +1,10 @@
-from danswer.configs.constants import DocumentSource
-
-
-def prefix_user_email(user_email: str) -> str:
-    """Prefixes a user email to eliminate collision with group names.
-    This applies to both a Danswer user and an External user, this is to make the query time
-    more efficient"""
-    return f"user_email:{user_email}"
+def prefix_user(user_id: str) -> str:
+    """Prefixes a user ID to eliminate collision with group names.
+    This assumes that groups are prefixed with a different prefix."""
+    return f"user_id:{user_id}"
 
 
 def prefix_user_group(user_group_name: str) -> str:
-    """Prefixes a user group name to eliminate collision with user emails.
+    """Prefixes a user group name to eliminate collision with user IDs.
     This assumes that user ids are prefixed with a different prefix."""
     return f"group:{user_group_name}"
-
-
-def prefix_external_group(ext_group_name: str) -> str:
-    """Prefixes an external group name to eliminate collision with user emails / Danswer groups."""
-    return f"external_group:{ext_group_name}"
-
-
-def prefix_group_w_source(ext_group_name: str, source: DocumentSource) -> str:
-    """External groups may collide across sources, every source needs its own prefix."""
-    return f"{source.value.upper()}_{ext_group_name}"

backend/danswer/auth/invited_users.py

@@ -1,20 +1,21 @@
 from typing import cast
 
-from danswer.configs.constants import KV_USER_STORE_KEY
-from danswer.key_value_store.factory import get_kv_store
-from danswer.key_value_store.interface import JSON_ro
-from danswer.key_value_store.interface import KvKeyNotFoundError
+from danswer.dynamic_configs.factory import get_dynamic_config_store
+from danswer.dynamic_configs.interface import ConfigNotFoundError
+from danswer.dynamic_configs.interface import JSON_ro
+
+USER_STORE_KEY = "INVITED_USERS"
 
 
 def get_invited_users() -> list[str]:
     try:
-        store = get_kv_store()
-        return cast(list, store.load(KV_USER_STORE_KEY))
-    except KvKeyNotFoundError:
+        store = get_dynamic_config_store()
+        return cast(list, store.load(USER_STORE_KEY))
+    except ConfigNotFoundError:
         return list()
 
 
 def write_invited_users(emails: list[str]) -> int:
-    store = get_kv_store()
-    store.store(KV_USER_STORE_KEY, cast(JSON_ro, emails))
+    store = get_dynamic_config_store()
+    store.store(USER_STORE_KEY, cast(JSON_ro, emails))
     return len(emails)

backend/danswer/auth/noauth_user.py

@@ -3,30 +3,32 @@ from typing import Any
 from typing import cast
 
 from danswer.auth.schemas import UserRole
-from danswer.configs.constants import KV_NO_AUTH_USER_PREFERENCES_KEY
-from danswer.key_value_store.store import KeyValueStore
-from danswer.key_value_store.store import KvKeyNotFoundError
+from danswer.dynamic_configs.store import ConfigNotFoundError
+from danswer.dynamic_configs.store import DynamicConfigStore
 from danswer.server.manage.models import UserInfo
 from danswer.server.manage.models import UserPreferences
 
 
+NO_AUTH_USER_PREFERENCES_KEY = "no_auth_user_preferences"
+
+
 def set_no_auth_user_preferences(
-    store: KeyValueStore, preferences: UserPreferences
+    store: DynamicConfigStore, preferences: UserPreferences
 ) -> None:
-    store.store(KV_NO_AUTH_USER_PREFERENCES_KEY, preferences.model_dump())
+    store.store(NO_AUTH_USER_PREFERENCES_KEY, preferences.dict())
 
 
-def load_no_auth_user_preferences(store: KeyValueStore) -> UserPreferences:
+def load_no_auth_user_preferences(store: DynamicConfigStore) -> UserPreferences:
     try:
         preferences_data = cast(
-            Mapping[str, Any], store.load(KV_NO_AUTH_USER_PREFERENCES_KEY)
+            Mapping[str, Any], store.load(NO_AUTH_USER_PREFERENCES_KEY)
         )
         return UserPreferences(**preferences_data)
-    except KvKeyNotFoundError:
-        return UserPreferences(chosen_assistants=None, default_model=None)
+    except ConfigNotFoundError:
+        return UserPreferences(chosen_assistants=None)
 
 
-def fetch_no_auth_user(store: KeyValueStore) -> UserInfo:
+def fetch_no_auth_user(store: DynamicConfigStore) -> UserInfo:
     return UserInfo(
         id="__no_auth_user__",
         email="anonymous@danswer.ai",

backend/danswer/auth/schemas.py

@@ -5,20 +5,8 @@ from fastapi_users import schemas
 
 
 class UserRole(str, Enum):
-    """
-    User roles
-    - Basic can't perform any admin actions
-    - Admin can perform all admin actions
-    - Curator can perform admin actions for
-        groups they are curators of
-    - Global Curator can perform admin actions
-        for all groups they are a member of
-    """
-
     BASIC = "basic"
     ADMIN = "admin"
-    CURATOR = "curator"
-    GLOBAL_CURATOR = "global_curator"
 
 
 class UserStatus(str, Enum):
@@ -33,9 +21,7 @@ class UserRead(schemas.BaseUser[uuid.UUID]):
 
 class UserCreate(schemas.BaseUserCreate):
     role: UserRole = UserRole.BASIC
-    has_web_login: bool | None = True
 
 
 class UserUpdate(schemas.BaseUserUpdate):
     role: UserRole
-    has_web_login: bool | None = True

backend/danswer/auth/users.py

@@ -1,25 +1,18 @@
 import smtplib
 import uuid
 from collections.abc import AsyncGenerator
-from datetime import datetime
-from datetime import timezone
 from email.mime.multipart import MIMEMultipart
 from email.mime.text import MIMEText
 from typing import Optional
 from typing import Tuple
 
-import jwt
-from email_validator import EmailNotValidError
-from email_validator import validate_email
 from fastapi import APIRouter
 from fastapi import Depends
 from fastapi import HTTPException
 from fastapi import Request
 from fastapi import Response
 from fastapi import status
-from fastapi.security import OAuth2PasswordRequestForm
 from fastapi_users import BaseUserManager
-from fastapi_users import exceptions
 from fastapi_users import FastAPIUsers
 from fastapi_users import models
 from fastapi_users import schemas
@@ -36,19 +29,15 @@ from sqlalchemy.orm import Session
 from danswer.auth.invited_users import get_invited_users
 from danswer.auth.schemas import UserCreate
 from danswer.auth.schemas import UserRole
-from danswer.auth.schemas import UserUpdate
 from danswer.configs.app_configs import AUTH_TYPE
-from danswer.configs.app_configs import DATA_PLANE_SECRET
 from danswer.configs.app_configs import DISABLE_AUTH
 from danswer.configs.app_configs import EMAIL_FROM
-from danswer.configs.app_configs import EXPECTED_API_KEY
 from danswer.configs.app_configs import REQUIRE_EMAIL_VERIFICATION
 from danswer.configs.app_configs import SESSION_EXPIRE_TIME_SECONDS
 from danswer.configs.app_configs import SMTP_PASS
 from danswer.configs.app_configs import SMTP_PORT
 from danswer.configs.app_configs import SMTP_SERVER
 from danswer.configs.app_configs import SMTP_USER
-from danswer.configs.app_configs import TRACK_EXTERNAL_IDP_EXPIRY
 from danswer.configs.app_configs import USER_AUTH_SECRET
 from danswer.configs.app_configs import VALID_EMAIL_DOMAINS
 from danswer.configs.app_configs import WEB_DOMAIN
@@ -61,33 +50,26 @@ from danswer.db.auth import get_default_admin_user_emails
 from danswer.db.auth import get_user_count
 from danswer.db.auth import get_user_db
 from danswer.db.engine import get_session
-from danswer.db.engine import get_sqlalchemy_engine
 from danswer.db.models import AccessToken
 from danswer.db.models import User
-from danswer.db.users import get_user_by_email
 from danswer.utils.logger import setup_logger
 from danswer.utils.telemetry import optional_telemetry
 from danswer.utils.telemetry import RecordType
-from danswer.utils.variable_functionality import fetch_versioned_implementation
+from danswer.utils.variable_functionality import (
+    fetch_versioned_implementation,
+)
+
 
 logger = setup_logger()
 
 
-def is_user_admin(user: User | None) -> bool:
-    if AUTH_TYPE == AuthType.DISABLED:
-        return True
-    if user and user.role == UserRole.ADMIN:
-        return True
-    return False
-
-
 def verify_auth_setting() -> None:
     if AUTH_TYPE not in [AuthType.DISABLED, AuthType.BASIC, AuthType.GOOGLE_OAUTH]:
         raise ValueError(
             "User must choose a valid user authentication method: "
             "disabled, basic, or google_oauth"
         )
-    logger.notice(f"Using Auth Type: {AUTH_TYPE.value}")
+    logger.info(f"Using Auth Type: {AUTH_TYPE.value}")
 
 
 def get_display_email(email: str | None, space_less: bool = False) -> str:
@@ -110,36 +92,10 @@ def user_needs_to_be_verified() -> bool:
     return AUTH_TYPE != AuthType.BASIC or REQUIRE_EMAIL_VERIFICATION
 
 
-def verify_email_is_invited(email: str) -> None:
-    whitelist = get_invited_users()
-    if not whitelist:
-        return
-
-    if not email:
-        raise PermissionError("Email must be specified")
-
-    email_info = validate_email(email)  # can raise EmailNotValidError
-
-    for email_whitelist in whitelist:
-        try:
-            # normalized emails are now being inserted into the db
-            # we can remove this normalization on read after some time has passed
-            email_info_whitelist = validate_email(email_whitelist)
-        except EmailNotValidError:
-            continue
-
-        # oddly, normalization does not include lowercasing the user part of the
-        # email address ... which we want to allow
-        if email_info.normalized.lower() == email_info_whitelist.normalized.lower():
-            return
-
-    raise PermissionError("User not on allowed user whitelist")
-
-
 def verify_email_in_whitelist(email: str) -> None:
-    with Session(get_sqlalchemy_engine()) as db_session:
-        if not get_user_by_email(email, db_session):
-            verify_email_is_invited(email)
+    whitelist = get_invited_users()
+    if (whitelist and email not in whitelist) or not email:
+        raise PermissionError("User not on allowed user whitelist")
 
 
 def verify_email_domain(email: str) -> None:
@@ -190,8 +146,8 @@ class UserManager(UUIDIDMixin, BaseUserManager[User, uuid.UUID]):
         user_create: schemas.UC | UserCreate,
         safe: bool = False,
         request: Optional[Request] = None,
-    ) -> User:
-        verify_email_is_invited(user_create.email)
+    ) -> models.UP:
+        verify_email_in_whitelist(user_create.email)
         verify_email_domain(user_create.email)
         if hasattr(user_create, "role"):
             user_count = await get_user_count()
@@ -199,27 +155,7 @@ class UserManager(UUIDIDMixin, BaseUserManager[User, uuid.UUID]):
                 user_create.role = UserRole.ADMIN
             else:
                 user_create.role = UserRole.BASIC
-        user = None
-        try:
-            user = await super().create(user_create, safe=safe, request=request)  # type: ignore
-        except exceptions.UserAlreadyExists:
-            user = await self.get_by_email(user_create.email)
-            # Handle case where user has used product outside of web and is now creating an account through web
-            if (
-                not user.has_web_login
-                and hasattr(user_create, "has_web_login")
-                and user_create.has_web_login
-            ):
-                user_update = UserUpdate(
-                    password=user_create.password,
-                    has_web_login=True,
-                    role=user_create.role,
-                    is_verified=user_create.is_verified,
-                )
-                user = await self.update(user_update, user)
-            else:
-                raise exceptions.UserAlreadyExists()
-        return user
+        return await super().create(user_create, safe=safe, request=request)  # type: ignore
 
     async def oauth_callback(
         self: "BaseUserManager[models.UOAP, models.ID]",
@@ -237,7 +173,7 @@ class UserManager(UUIDIDMixin, BaseUserManager[User, uuid.UUID]):
         verify_email_in_whitelist(account_email)
         verify_email_domain(account_email)
 
-        user = await super().oauth_callback(  # type: ignore
+        return await super().oauth_callback(  # type: ignore
             oauth_name=oauth_name,
             access_token=access_token,
             account_id=account_id,
@@ -249,35 +185,10 @@ class UserManager(UUIDIDMixin, BaseUserManager[User, uuid.UUID]):
             is_verified_by_default=is_verified_by_default,
         )
 
-        # NOTE: Most IdPs have very short expiry times, and we don't want to force the user to
-        # re-authenticate that frequently, so by default this is disabled
-        if expires_at and TRACK_EXTERNAL_IDP_EXPIRY:
-            oidc_expiry = datetime.fromtimestamp(expires_at, tz=timezone.utc)
-            await self.user_db.update(user, update_dict={"oidc_expiry": oidc_expiry})
-
-        # this is needed if an organization goes from `TRACK_EXTERNAL_IDP_EXPIRY=true` to `false`
-        # otherwise, the oidc expiry will always be old, and the user will never be able to login
-        if user.oidc_expiry and not TRACK_EXTERNAL_IDP_EXPIRY:
-            await self.user_db.update(user, update_dict={"oidc_expiry": None})
-
-        # Handle case where user has used product outside of web and is now creating an account through web
-        if not user.has_web_login:
-            await self.user_db.update(
-                user,
-                update_dict={
-                    "is_verified": is_verified_by_default,
-                    "has_web_login": True,
-                },
-            )
-            user.is_verified = is_verified_by_default
-            user.has_web_login = True
-
-        return user
-
     async def on_after_register(
         self, user: User, request: Optional[Request] = None
     ) -> None:
-        logger.notice(f"User {user.id} has registered.")
+        logger.info(f"User {user.id} has registered.")
         optional_telemetry(
             record_type=RecordType.SIGN_UP,
             data={"action": "create"},
@@ -287,45 +198,19 @@ class UserManager(UUIDIDMixin, BaseUserManager[User, uuid.UUID]):
     async def on_after_forgot_password(
         self, user: User, token: str, request: Optional[Request] = None
     ) -> None:
-        logger.notice(f"User {user.id} has forgot their password. Reset token: {token}")
+        logger.info(f"User {user.id} has forgot their password. Reset token: {token}")
 
     async def on_after_request_verify(
         self, user: User, token: str, request: Optional[Request] = None
     ) -> None:
         verify_email_domain(user.email)
 
-        logger.notice(
+        logger.info(
             f"Verification requested for user {user.id}. Verification token: {token}"
         )
 
         send_user_verification_email(user.email, token)
 
-    async def authenticate(
-        self, credentials: OAuth2PasswordRequestForm
-    ) -> Optional[User]:
-        try:
-            user = await self.get_by_email(credentials.username)
-        except exceptions.UserNotExists:
-            self.password_helper.hash(credentials.password)
-            return None
-
-        if not user.has_web_login:
-            raise HTTPException(
-                status_code=status.HTTP_403_FORBIDDEN,
-                detail="NO_WEB_LOGIN_AND_HAS_NO_PASSWORD",
-            )
-
-        verified, updated_password_hash = self.password_helper.verify_and_update(
-            credentials.password, user.hashed_password
-        )
-        if not verified:
-            return None
-
-        if updated_password_hash is not None:
-            await self.user_db.update(user, {"hashed_password": updated_password_hash})
-
-        return user
-
 
 async def get_user_manager(
     user_db: SQLAlchemyUserDatabase = Depends(get_user_db),
@@ -342,10 +227,9 @@ cookie_transport = CookieTransport(
 def get_database_strategy(
     access_token_db: AccessTokenDatabase[AccessToken] = Depends(get_access_token_db),
 ) -> DatabaseStrategy:
-    strategy = DatabaseStrategy(
+    return DatabaseStrategy(
         access_token_db, lifetime_seconds=SESSION_EXPIRE_TIME_SECONDS  # type: ignore
     )
-    return strategy
 
 
 auth_backend = AuthenticationBackend(
@@ -427,7 +311,6 @@ async def optional_user(
 async def double_check_user(
     user: User | None,
     optional: bool = DISABLE_AUTH,
-    include_expired: bool = False,
 ) -> User | None:
     if optional:
         return None
@@ -444,53 +327,15 @@ async def double_check_user(
             detail="Access denied. User is not verified.",
         )
 
-    if (
-        user.oidc_expiry
-        and user.oidc_expiry < datetime.now(timezone.utc)
-        and not include_expired
-    ):
-        raise HTTPException(
-            status_code=status.HTTP_403_FORBIDDEN,
-            detail="Access denied. User's OIDC token has expired.",
-        )
-
     return user
 
 
-async def current_user_with_expired_token(
-    user: User | None = Depends(optional_user),
-) -> User | None:
-    return await double_check_user(user, include_expired=True)
-
-
 async def current_user(
     user: User | None = Depends(optional_user),
 ) -> User | None:
     return await double_check_user(user)
 
 
-async def current_curator_or_admin_user(
-    user: User | None = Depends(current_user),
-) -> User | None:
-    if DISABLE_AUTH:
-        return None
-
-    if not user or not hasattr(user, "role"):
-        raise HTTPException(
-            status_code=status.HTTP_403_FORBIDDEN,
-            detail="Access denied. User is not authenticated or lacks role information.",
-        )
-
-    allowed_roles = {UserRole.GLOBAL_CURATOR, UserRole.CURATOR, UserRole.ADMIN}
-    if user.role not in allowed_roles:
-        raise HTTPException(
-            status_code=status.HTTP_403_FORBIDDEN,
-            detail="Access denied. User is not a curator or admin.",
-        )
-
-    return user
-
-
 async def current_admin_user(user: User | None = Depends(current_user)) -> User | None:
     if DISABLE_AUTH:
         return None
@@ -498,37 +343,6 @@ async def current_admin_user(user: User | None = Depends(current_user)) -> User
     if not user or not hasattr(user, "role") or user.role != UserRole.ADMIN:
         raise HTTPException(
             status_code=status.HTTP_403_FORBIDDEN,
-            detail="Access denied. User must be an admin to perform this action.",
+            detail="Access denied. User is not an admin.",
         )
-
     return user
-
-
-def get_default_admin_user_emails_() -> list[str]:
-    # No default seeding available for Danswer MIT
-    return []
-
-
-async def control_plane_dep(request: Request) -> None:
-    api_key = request.headers.get("X-API-KEY")
-    if api_key != EXPECTED_API_KEY:
-        logger.warning("Invalid API key")
-        raise HTTPException(status_code=401, detail="Invalid API key")
-
-    auth_header = request.headers.get("Authorization")
-    if not auth_header or not auth_header.startswith("Bearer "):
-        logger.warning("Invalid authorization header")
-        raise HTTPException(status_code=401, detail="Invalid authorization header")
-
-    token = auth_header.split(" ")[1]
-    try:
-        payload = jwt.decode(token, DATA_PLANE_SECRET, algorithms=["HS256"])
-        if payload.get("scope") != "tenant:create":
-            logger.warning("Insufficient permissions")
-            raise HTTPException(status_code=403, detail="Insufficient permissions")
-    except jwt.ExpiredSignatureError:
-        logger.warning("Token has expired")
-        raise HTTPException(status_code=401, detail="Token has expired")
-    except jwt.InvalidTokenError:
-        logger.warning("Invalid token")
-        raise HTTPException(status_code=401, detail="Invalid token")

backend/danswer/background/celery/celery_app.py

@@ -1,484 +1,313 @@
-import logging
-import time
 from datetime import timedelta
-from typing import Any
+from typing import cast
 
-import redis
-from celery import bootsteps  # type: ignore
-from celery import Celery
-from celery import current_task
-from celery import signals
-from celery import Task
-from celery.exceptions import WorkerShutdown
-from celery.signals import beat_init
-from celery.signals import worker_init
-from celery.signals import worker_ready
-from celery.signals import worker_shutdown
-from celery.states import READY_STATES
-from celery.utils.log import get_task_logger
+from celery import Celery  # type: ignore
+from sqlalchemy.orm import Session
 
-from danswer.background.celery.celery_redis import RedisConnectorCredentialPair
-from danswer.background.celery.celery_redis import RedisConnectorDeletion
-from danswer.background.celery.celery_redis import RedisConnectorPruning
-from danswer.background.celery.celery_redis import RedisDocumentSet
-from danswer.background.celery.celery_redis import RedisUserGroup
-from danswer.background.celery.celery_utils import celery_is_worker_primary
-from danswer.configs.constants import CELERY_PRIMARY_WORKER_LOCK_TIMEOUT
-from danswer.configs.constants import DanswerCeleryPriority
-from danswer.configs.constants import DanswerRedisLocks
-from danswer.configs.constants import POSTGRES_CELERY_BEAT_APP_NAME
-from danswer.configs.constants import POSTGRES_CELERY_WORKER_HEAVY_APP_NAME
-from danswer.configs.constants import POSTGRES_CELERY_WORKER_LIGHT_APP_NAME
-from danswer.configs.constants import POSTGRES_CELERY_WORKER_PRIMARY_APP_NAME
-from danswer.db.engine import SqlEngine
-from danswer.redis.redis_pool import get_redis_client
-from danswer.utils.logger import ColoredFormatter
-from danswer.utils.logger import PlainFormatter
+from danswer.background.celery.celery_utils import extract_ids_from_runnable_connector
+from danswer.background.celery.celery_utils import should_prune_cc_pair
+from danswer.background.celery.celery_utils import should_sync_doc_set
+from danswer.background.connector_deletion import delete_connector_credential_pair
+from danswer.background.connector_deletion import delete_connector_credential_pair_batch
+from danswer.background.task_utils import build_celery_task_wrapper
+from danswer.background.task_utils import name_cc_cleanup_task
+from danswer.background.task_utils import name_cc_prune_task
+from danswer.background.task_utils import name_document_set_sync_task
+from danswer.configs.app_configs import JOB_TIMEOUT
+from danswer.connectors.factory import instantiate_connector
+from danswer.connectors.models import InputType
+from danswer.db.connector_credential_pair import get_connector_credential_pair
+from danswer.db.connector_credential_pair import get_connector_credential_pairs
+from danswer.db.deletion_attempt import check_deletion_attempt_is_allowed
+from danswer.db.document import get_documents_for_connector_credential_pair
+from danswer.db.document import prepare_to_modify_documents
+from danswer.db.document_set import delete_document_set
+from danswer.db.document_set import fetch_document_sets
+from danswer.db.document_set import fetch_document_sets_for_documents
+from danswer.db.document_set import fetch_documents_for_document_set_paginated
+from danswer.db.document_set import get_document_set_by_id
+from danswer.db.document_set import mark_document_set_as_synced
+from danswer.db.engine import build_connection_string
+from danswer.db.engine import get_sqlalchemy_engine
+from danswer.db.engine import SYNC_DB_API
+from danswer.db.models import DocumentSet
+from danswer.document_index.document_index_utils import get_both_index_names
+from danswer.document_index.factory import get_default_document_index
+from danswer.document_index.interfaces import UpdateRequest
 from danswer.utils.logger import setup_logger
 
 logger = setup_logger()
 
-# use this within celery tasks to get celery task specific logging
-task_logger = get_task_logger(__name__)
-
-celery_app = Celery(__name__)
-celery_app.config_from_object(
-    "danswer.background.celery.celeryconfig"
-)  # Load configuration from 'celeryconfig.py'
+connection_string = build_connection_string(db_api=SYNC_DB_API)
+celery_broker_url = f"sqla+{connection_string}"
+celery_backend_url = f"db+{connection_string}"
+celery_app = Celery(__name__, broker=celery_broker_url, backend=celery_backend_url)
 
 
-@signals.task_postrun.connect
-def celery_task_postrun(
-    sender: Any | None = None,
-    task_id: str | None = None,
-    task: Task | None = None,
-    args: tuple | None = None,
-    kwargs: dict | None = None,
-    retval: Any | None = None,
-    state: str | None = None,
-    **kwds: Any,
-) -> None:
-    """We handle this signal in order to remove completed tasks
-    from their respective tasksets. This allows us to track the progress of document set
-    and user group syncs.
-
-    This function runs after any task completes (both success and failure)
-    Note that this signal does not fire on a task that failed to complete and is going
-    to be retried.
-    """
-    if not task:
-        return
-
-    task_logger.debug(f"Task {task.name} (ID: {task_id}) completed with state: {state}")
-    # logger.debug(f"Result: {retval}")
-
-    if state not in READY_STATES:
-        return
-
-    if not task_id:
-        return
-
-    r = get_redis_client()
-
-    if task_id.startswith(RedisConnectorCredentialPair.PREFIX):
-        r.srem(RedisConnectorCredentialPair.get_taskset_key(), task_id)
-        return
-
-    if task_id.startswith(RedisDocumentSet.PREFIX):
-        document_set_id = RedisDocumentSet.get_id_from_task_id(task_id)
-        if document_set_id is not None:
-            rds = RedisDocumentSet(document_set_id)
-            r.srem(rds.taskset_key, task_id)
-        return
-
-    if task_id.startswith(RedisUserGroup.PREFIX):
-        usergroup_id = RedisUserGroup.get_id_from_task_id(task_id)
-        if usergroup_id is not None:
-            rug = RedisUserGroup(usergroup_id)
-            r.srem(rug.taskset_key, task_id)
-        return
-
-    if task_id.startswith(RedisConnectorDeletion.PREFIX):
-        cc_pair_id = RedisConnectorDeletion.get_id_from_task_id(task_id)
-        if cc_pair_id is not None:
-            rcd = RedisConnectorDeletion(cc_pair_id)
-            r.srem(rcd.taskset_key, task_id)
-        return
-
-    if task_id.startswith(RedisConnectorPruning.SUBTASK_PREFIX):
-        cc_pair_id = RedisConnectorPruning.get_id_from_task_id(task_id)
-        if cc_pair_id is not None:
-            rcp = RedisConnectorPruning(cc_pair_id)
-            r.srem(rcp.taskset_key, task_id)
-        return
+_SYNC_BATCH_SIZE = 100
 
 
-@beat_init.connect
-def on_beat_init(sender: Any, **kwargs: Any) -> None:
-    SqlEngine.set_app_name(POSTGRES_CELERY_BEAT_APP_NAME)
-    SqlEngine.init_engine(pool_size=2, max_overflow=0)
-
-
-@worker_init.connect
-def on_worker_init(sender: Any, **kwargs: Any) -> None:
-    # decide some initial startup settings based on the celery worker's hostname
-    # (set at the command line)
-    hostname = sender.hostname
-    if hostname.startswith("light"):
-        SqlEngine.set_app_name(POSTGRES_CELERY_WORKER_LIGHT_APP_NAME)
-        SqlEngine.init_engine(pool_size=sender.concurrency, max_overflow=8)
-    elif hostname.startswith("heavy"):
-        SqlEngine.set_app_name(POSTGRES_CELERY_WORKER_HEAVY_APP_NAME)
-        SqlEngine.init_engine(pool_size=8, max_overflow=0)
-    else:
-        SqlEngine.set_app_name(POSTGRES_CELERY_WORKER_PRIMARY_APP_NAME)
-        SqlEngine.init_engine(pool_size=8, max_overflow=0)
-
-    r = get_redis_client()
-
-    WAIT_INTERVAL = 5
-    WAIT_LIMIT = 60
-
-    time_start = time.monotonic()
-    logger.info("Redis: Readiness check starting.")
-    while True:
-        try:
-            if r.ping():
-                break
-        except Exception:
-            pass
-
-        time_elapsed = time.monotonic() - time_start
-        logger.info(
-            f"Redis: Ping failed. elapsed={time_elapsed:.1f} timeout={WAIT_LIMIT:.1f}"
+#####
+# Tasks that need to be run in job queue, registered via APIs
+#
+# If imports from this module are needed, use local imports to avoid circular importing
+#####
+@build_celery_task_wrapper(name_cc_cleanup_task)
+@celery_app.task(soft_time_limit=JOB_TIMEOUT)
+def cleanup_connector_credential_pair_task(
+    connector_id: int,
+    credential_id: int,
+) -> int:
+    """Connector deletion task. This is run as an async task because it is a somewhat slow job.
+    Needs to potentially update a large number of Postgres and Vespa docs, including deleting them
+    or updating the ACL"""
+    engine = get_sqlalchemy_engine()
+    with Session(engine) as db_session:
+        # validate that the connector / credential pair is deletable
+        cc_pair = get_connector_credential_pair(
+            db_session=db_session,
+            connector_id=connector_id,
+            credential_id=credential_id,
         )
-        if time_elapsed > WAIT_LIMIT:
-            msg = (
-                f"Redis: Readiness check did not succeed within the timeout "
-                f"({WAIT_LIMIT} seconds). Exiting..."
+        if not cc_pair:
+            raise ValueError(
+                f"Cannot run deletion attempt - connector_credential_pair with Connector ID: "
+                f"{connector_id} and Credential ID: {credential_id} does not exist."
             )
-            logger.error(msg)
-            raise WorkerShutdown(msg)
 
-        time.sleep(WAIT_INTERVAL)
+        deletion_attempt_disallowed_reason = check_deletion_attempt_is_allowed(
+            connector_credential_pair=cc_pair, db_session=db_session
+        )
+        if deletion_attempt_disallowed_reason:
+            raise ValueError(deletion_attempt_disallowed_reason)
 
-    logger.info("Redis: Readiness check succeeded. Continuing...")
+        try:
+            # The bulk of the work is in here, updates Postgres and Vespa
+            curr_ind_name, sec_ind_name = get_both_index_names(db_session)
+            document_index = get_default_document_index(
+                primary_index_name=curr_ind_name, secondary_index_name=sec_ind_name
+            )
+            return delete_connector_credential_pair(
+                db_session=db_session,
+                document_index=document_index,
+                cc_pair=cc_pair,
+            )
+        except Exception as e:
+            logger.exception(f"Failed to run connector_deletion due to {e}")
+            raise e
 
-    if not celery_is_worker_primary(sender):
-        logger.info("Running as a secondary celery worker.")
-        logger.info("Waiting for primary worker to be ready...")
-        time_start = time.monotonic()
-        while True:
-            if r.exists(DanswerRedisLocks.PRIMARY_WORKER):
-                break
 
-            time.monotonic()
-            time_elapsed = time.monotonic() - time_start
+@build_celery_task_wrapper(name_cc_prune_task)
+@celery_app.task(soft_time_limit=JOB_TIMEOUT)
+def prune_documents_task(connector_id: int, credential_id: int) -> None:
+    """connector pruning task. For a cc pair, this task pulls all docuement IDs from the source
+    and compares those IDs to locally stored documents and deletes all locally stored IDs missing
+    from the most recently pulled document ID list"""
+    with Session(get_sqlalchemy_engine()) as db_session:
+        try:
+            cc_pair = get_connector_credential_pair(
+                db_session=db_session,
+                connector_id=connector_id,
+                credential_id=credential_id,
+            )
+
+            if not cc_pair:
+                logger.warning(f"ccpair not found for {connector_id} {credential_id}")
+                return
+
+            runnable_connector = instantiate_connector(
+                cc_pair.connector.source,
+                InputType.PRUNE,
+                cc_pair.connector.connector_specific_config,
+                cc_pair.credential,
+                db_session,
+            )
+
+            all_connector_doc_ids: set[str] = extract_ids_from_runnable_connector(
+                runnable_connector
+            )
+
+            all_indexed_document_ids = {
+                doc.id
+                for doc in get_documents_for_connector_credential_pair(
+                    db_session=db_session,
+                    connector_id=connector_id,
+                    credential_id=credential_id,
+                )
+            }
+
+            doc_ids_to_remove = list(all_indexed_document_ids - all_connector_doc_ids)
+
+            curr_ind_name, sec_ind_name = get_both_index_names(db_session)
+            document_index = get_default_document_index(
+                primary_index_name=curr_ind_name, secondary_index_name=sec_ind_name
+            )
+
+            if len(doc_ids_to_remove) == 0:
+                logger.info(
+                    f"No docs to prune from {cc_pair.connector.source} connector"
+                )
+                return
+
             logger.info(
-                f"Primary worker is not ready yet. elapsed={time_elapsed:.1f} timeout={WAIT_LIMIT:.1f}"
+                f"pruning {len(doc_ids_to_remove)} doc(s) from {cc_pair.connector.source} connector"
             )
-            if time_elapsed > WAIT_LIMIT:
-                msg = (
-                    f"Primary worker was not ready within the timeout. "
-                    f"({WAIT_LIMIT} seconds). Exiting..."
+            delete_connector_credential_pair_batch(
+                document_ids=doc_ids_to_remove,
+                connector_id=connector_id,
+                credential_id=credential_id,
+                document_index=document_index,
+            )
+        except Exception as e:
+            logger.exception(
+                f"Failed to run pruning for connector id {connector_id} due to {e}"
+            )
+            raise e
+
+
+@build_celery_task_wrapper(name_document_set_sync_task)
+@celery_app.task(soft_time_limit=JOB_TIMEOUT)
+def sync_document_set_task(document_set_id: int) -> None:
+    """For document sets marked as not up to date, sync the state from postgres
+    into the datastore. Also handles deletions."""
+
+    def _sync_document_batch(document_ids: list[str], db_session: Session) -> None:
+        logger.debug(f"Syncing document sets for: {document_ids}")
+
+        # Acquires a lock on the documents so that no other process can modify them
+        with prepare_to_modify_documents(
+            db_session=db_session, document_ids=document_ids
+        ):
+            # get current state of document sets for these documents
+            document_set_map = {
+                document_id: document_sets
+                for document_id, document_sets in fetch_document_sets_for_documents(
+                    document_ids=document_ids, db_session=db_session
                 )
-                logger.error(msg)
-                raise WorkerShutdown(msg)
+            }
 
-            time.sleep(WAIT_INTERVAL)
+            # update Vespa
+            curr_ind_name, sec_ind_name = get_both_index_names(db_session)
+            document_index = get_default_document_index(
+                primary_index_name=curr_ind_name, secondary_index_name=sec_ind_name
+            )
+            update_requests = [
+                UpdateRequest(
+                    document_ids=[document_id],
+                    document_sets=set(document_set_map.get(document_id, [])),
+                )
+                for document_id in document_ids
+            ]
+            document_index.update(update_requests=update_requests)
 
-        logger.info("Wait for primary worker completed successfully. Continuing...")
-        return
-
-    logger.info("Running as the primary celery worker.")
-
-    # This is singleton work that should be done on startup exactly once
-    # by the primary worker
-    r = get_redis_client()
-
-    # For the moment, we're assuming that we are the only primary worker
-    # that should be running.
-    # TODO: maybe check for or clean up another zombie primary worker if we detect it
-    r.delete(DanswerRedisLocks.PRIMARY_WORKER)
-
-    # this process wide lock is taken to help other workers start up in order.
-    # it is planned to use this lock to enforce singleton behavior on the primary
-    # worker, since the primary worker does redis cleanup on startup, but this isn't
-    # implemented yet.
-    lock = r.lock(
-        DanswerRedisLocks.PRIMARY_WORKER,
-        timeout=CELERY_PRIMARY_WORKER_LOCK_TIMEOUT,
-    )
-
-    logger.info("Primary worker lock: Acquire starting.")
-    acquired = lock.acquire(blocking_timeout=CELERY_PRIMARY_WORKER_LOCK_TIMEOUT / 2)
-    if acquired:
-        logger.info("Primary worker lock: Acquire succeeded.")
-    else:
-        logger.error("Primary worker lock: Acquire failed!")
-        raise WorkerShutdown("Primary worker lock could not be acquired!")
-
-    sender.primary_worker_lock = lock
-
-    r.delete(DanswerRedisLocks.CHECK_VESPA_SYNC_BEAT_LOCK)
-    r.delete(DanswerRedisLocks.MONITOR_VESPA_SYNC_BEAT_LOCK)
-
-    r.delete(RedisConnectorCredentialPair.get_taskset_key())
-    r.delete(RedisConnectorCredentialPair.get_fence_key())
-
-    for key in r.scan_iter(RedisDocumentSet.TASKSET_PREFIX + "*"):
-        r.delete(key)
-
-    for key in r.scan_iter(RedisDocumentSet.FENCE_PREFIX + "*"):
-        r.delete(key)
-
-    for key in r.scan_iter(RedisUserGroup.TASKSET_PREFIX + "*"):
-        r.delete(key)
-
-    for key in r.scan_iter(RedisUserGroup.FENCE_PREFIX + "*"):
-        r.delete(key)
-
-    for key in r.scan_iter(RedisConnectorDeletion.TASKSET_PREFIX + "*"):
-        r.delete(key)
-
-    for key in r.scan_iter(RedisConnectorDeletion.FENCE_PREFIX + "*"):
-        r.delete(key)
-
-    for key in r.scan_iter(RedisConnectorPruning.TASKSET_PREFIX + "*"):
-        r.delete(key)
-
-    for key in r.scan_iter(RedisConnectorPruning.GENERATOR_COMPLETE_PREFIX + "*"):
-        r.delete(key)
-
-    for key in r.scan_iter(RedisConnectorPruning.GENERATOR_PROGRESS_PREFIX + "*"):
-        r.delete(key)
-
-    for key in r.scan_iter(RedisConnectorPruning.FENCE_PREFIX + "*"):
-        r.delete(key)
-
-
-@worker_ready.connect
-def on_worker_ready(sender: Any, **kwargs: Any) -> None:
-    task_logger.info("worker_ready signal received.")
-
-
-@worker_shutdown.connect
-def on_worker_shutdown(sender: Any, **kwargs: Any) -> None:
-    if not celery_is_worker_primary(sender):
-        return
-
-    if not sender.primary_worker_lock:
-        return
-
-    logger.info("Releasing primary worker lock.")
-    lock = sender.primary_worker_lock
-    if lock.owned():
-        lock.release()
-        sender.primary_worker_lock = None
-
-
-class CeleryTaskPlainFormatter(PlainFormatter):
-    def format(self, record: logging.LogRecord) -> str:
-        task = current_task
-        if task and task.request:
-            record.__dict__.update(task_id=task.request.id, task_name=task.name)
-            record.msg = f"[{task.name}({task.request.id})] {record.msg}"
-
-        return super().format(record)
-
-
-class CeleryTaskColoredFormatter(ColoredFormatter):
-    def format(self, record: logging.LogRecord) -> str:
-        task = current_task
-        if task and task.request:
-            record.__dict__.update(task_id=task.request.id, task_name=task.name)
-            record.msg = f"[{task.name}({task.request.id})] {record.msg}"
-
-        return super().format(record)
-
-
-@signals.setup_logging.connect
-def on_setup_logging(
-    loglevel: Any, logfile: Any, format: Any, colorize: Any, **kwargs: Any
-) -> None:
-    # TODO: could unhardcode format and colorize and accept these as options from
-    # celery's config
-
-    # reformats celery's worker logger
-    root_logger = logging.getLogger()
-
-    root_handler = logging.StreamHandler()  # Set up a handler for the root logger
-    root_formatter = ColoredFormatter(
-        "%(asctime)s %(filename)30s %(lineno)4s: %(message)s",
-        datefmt="%m/%d/%Y %I:%M:%S %p",
-    )
-    root_handler.setFormatter(root_formatter)
-    root_logger.addHandler(root_handler)  # Apply the handler to the root logger
-
-    if logfile:
-        root_file_handler = logging.FileHandler(logfile)
-        root_file_formatter = PlainFormatter(
-            "%(asctime)s %(filename)30s %(lineno)4s: %(message)s",
-            datefmt="%m/%d/%Y %I:%M:%S %p",
-        )
-        root_file_handler.setFormatter(root_file_formatter)
-        root_logger.addHandler(root_file_handler)
-
-    root_logger.setLevel(loglevel)
-
-    # reformats celery's task logger
-    task_formatter = CeleryTaskColoredFormatter(
-        "%(asctime)s %(filename)30s %(lineno)4s: %(message)s",
-        datefmt="%m/%d/%Y %I:%M:%S %p",
-    )
-    task_handler = logging.StreamHandler()  # Set up a handler for the task logger
-    task_handler.setFormatter(task_formatter)
-    task_logger.addHandler(task_handler)  # Apply the handler to the task logger
-
-    if logfile:
-        task_file_handler = logging.FileHandler(logfile)
-        task_file_formatter = CeleryTaskPlainFormatter(
-            "%(asctime)s %(filename)30s %(lineno)4s: %(message)s",
-            datefmt="%m/%d/%Y %I:%M:%S %p",
-        )
-        task_file_handler.setFormatter(task_file_formatter)
-        task_logger.addHandler(task_file_handler)
-
-    task_logger.setLevel(loglevel)
-    task_logger.propagate = False
-
-
-class HubPeriodicTask(bootsteps.StartStopStep):
-    """Regularly reacquires the primary worker lock outside of the task queue.
-    Use the task_logger in this class to avoid double logging.
-
-    This cannot be done inside a regular beat task because it must run on schedule and
-    a queue of existing work would starve the task from running.
-    """
-
-    # it's unclear to me whether using the hub's timer or the bootstep timer is better
-    requires = {"celery.worker.components:Hub"}
-
-    def __init__(self, worker: Any, **kwargs: Any) -> None:
-        self.interval = CELERY_PRIMARY_WORKER_LOCK_TIMEOUT / 8  # Interval in seconds
-        self.task_tref = None
-
-    def start(self, worker: Any) -> None:
-        if not celery_is_worker_primary(worker):
-            return
-
-        # Access the worker's event loop (hub)
-        hub = worker.consumer.controller.hub
-
-        # Schedule the periodic task
-        self.task_tref = hub.call_repeatedly(
-            self.interval, self.run_periodic_task, worker
-        )
-        task_logger.info("Scheduled periodic task with hub.")
-
-    def run_periodic_task(self, worker: Any) -> None:
+    with Session(get_sqlalchemy_engine()) as db_session:
         try:
-            if not worker.primary_worker_lock:
-                return
+            cursor = None
+            while True:
+                document_batch, cursor = fetch_documents_for_document_set_paginated(
+                    document_set_id=document_set_id,
+                    db_session=db_session,
+                    current_only=False,
+                    last_document_id=cursor,
+                    limit=_SYNC_BATCH_SIZE,
+                )
+                _sync_document_batch(
+                    document_ids=[document.id for document in document_batch],
+                    db_session=db_session,
+                )
+                if cursor is None:
+                    break
 
-            if not hasattr(worker, "primary_worker_lock"):
-                return
-
-            r = get_redis_client()
-
-            lock: redis.lock.Lock = worker.primary_worker_lock
-
-            if lock.owned():
-                task_logger.debug("Reacquiring primary worker lock.")
-                lock.reacquire()
+            # if there are no connectors, then delete the document set. Otherwise, just
+            # mark it as successfully synced.
+            document_set = cast(
+                DocumentSet,
+                get_document_set_by_id(
+                    db_session=db_session, document_set_id=document_set_id
+                ),
+            )  # casting since we "know" a document set with this ID exists
+            if not document_set.connector_credential_pairs:
+                delete_document_set(
+                    document_set_row=document_set, db_session=db_session
+                )
+                logger.info(
+                    f"Successfully deleted document set with ID: '{document_set_id}'!"
+                )
             else:
-                task_logger.warning(
-                    "Full acquisition of primary worker lock. "
-                    "Reasons could be computer sleep or a clock change."
-                )
-                lock = r.lock(
-                    DanswerRedisLocks.PRIMARY_WORKER,
-                    timeout=CELERY_PRIMARY_WORKER_LOCK_TIMEOUT,
+                mark_document_set_as_synced(
+                    document_set_id=document_set_id, db_session=db_session
                 )
+                logger.info(f"Document set sync for '{document_set_id}' complete!")
 
-                task_logger.info("Primary worker lock: Acquire starting.")
-                acquired = lock.acquire(
-                    blocking_timeout=CELERY_PRIMARY_WORKER_LOCK_TIMEOUT / 2
-                )
-                if acquired:
-                    task_logger.info("Primary worker lock: Acquire succeeded.")
-                else:
-                    task_logger.error("Primary worker lock: Acquire failed!")
-                    raise TimeoutError("Primary worker lock could not be acquired!")
-
-                worker.primary_worker_lock = lock
         except Exception:
-            task_logger.exception("HubPeriodicTask.run_periodic_task exceptioned.")
-
-    def stop(self, worker: Any) -> None:
-        # Cancel the scheduled task when the worker stops
-        if self.task_tref:
-            self.task_tref.cancel()
-            task_logger.info("Canceled periodic task with hub.")
+            logger.exception("Failed to sync document set %s", document_set_id)
+            raise
 
 
-celery_app.steps["worker"].add(HubPeriodicTask)
-
-celery_app.autodiscover_tasks(
-    [
-        "danswer.background.celery.tasks.connector_deletion",
-        "danswer.background.celery.tasks.periodic",
-        "danswer.background.celery.tasks.pruning",
-        "danswer.background.celery.tasks.shared",
-        "danswer.background.celery.tasks.vespa",
-    ]
+#####
+# Periodic Tasks
+#####
+@celery_app.task(
+    name="check_for_document_sets_sync_task",
+    soft_time_limit=JOB_TIMEOUT,
 )
+def check_for_document_sets_sync_task() -> None:
+    """Runs periodically to check if any sync tasks should be run and adds them
+    to the queue"""
+    with Session(get_sqlalchemy_engine()) as db_session:
+        # check if any document sets are not synced
+        document_set_info = fetch_document_sets(
+            user_id=None, db_session=db_session, include_outdated=True
+        )
+        for document_set, _ in document_set_info:
+            if should_sync_doc_set(document_set, db_session):
+                logger.info(f"Syncing the {document_set.name} document set")
+                sync_document_set_task.apply_async(
+                    kwargs=dict(document_set_id=document_set.id),
+                )
+
+
+@celery_app.task(
+    name="check_for_prune_task",
+    soft_time_limit=JOB_TIMEOUT,
+)
+def check_for_prune_task() -> None:
+    """Runs periodically to check if any prune tasks should be run and adds them
+    to the queue"""
+
+    with Session(get_sqlalchemy_engine()) as db_session:
+        all_cc_pairs = get_connector_credential_pairs(db_session)
+
+        for cc_pair in all_cc_pairs:
+            if should_prune_cc_pair(
+                connector=cc_pair.connector,
+                credential=cc_pair.credential,
+                db_session=db_session,
+            ):
+                logger.info(f"Pruning the {cc_pair.connector.name} connector")
+
+                prune_documents_task.apply_async(
+                    kwargs=dict(
+                        connector_id=cc_pair.connector.id,
+                        credential_id=cc_pair.credential.id,
+                    )
+                )
+
 
 #####
 # Celery Beat (Periodic Tasks) Settings
 #####
 celery_app.conf.beat_schedule = {
-    "check-for-vespa-sync": {
-        "task": "check_for_vespa_sync_task",
+    "check-for-document-set-sync": {
+        "task": "check_for_document_sets_sync_task",
         "schedule": timedelta(seconds=5),
-        "options": {"priority": DanswerCeleryPriority.HIGH},
     },
 }
-celery_app.conf.beat_schedule.update(
-    {
-        "check-for-connector-deletion-task": {
-            "task": "check_for_connector_deletion_task",
-            # don't need to check too often, since we kick off a deletion initially
-            # during the API call that actually marks the CC pair for deletion
-            "schedule": timedelta(seconds=60),
-            "options": {"priority": DanswerCeleryPriority.HIGH},
-        },
-    }
-)
 celery_app.conf.beat_schedule.update(
     {
         "check-for-prune": {
-            "task": "check_for_prune_task_2",
-            "schedule": timedelta(seconds=60),
-            "options": {"priority": DanswerCeleryPriority.HIGH},
-        },
-    }
-)
-celery_app.conf.beat_schedule.update(
-    {
-        "kombu-message-cleanup": {
-            "task": "kombu_message_cleanup_task",
-            "schedule": timedelta(seconds=3600),
-            "options": {"priority": DanswerCeleryPriority.LOWEST},
-        },
-    }
-)
-celery_app.conf.beat_schedule.update(
-    {
-        "monitor-vespa-sync": {
-            "task": "monitor_vespa_sync",
+            "task": "check_for_prune_task",
             "schedule": timedelta(seconds=5),
-            "options": {"priority": DanswerCeleryPriority.HIGH},
         },
     }
 )

backend/danswer/background/celery/celery_redis.py

@@ -1,480 +0,0 @@
-# These are helper objects for tracking the keys we need to write in redis
-import time
-from abc import ABC
-from abc import abstractmethod
-from typing import cast
-from uuid import uuid4
-
-import redis
-from celery import Celery
-from redis import Redis
-from sqlalchemy.orm import Session
-
-from danswer.background.celery.celeryconfig import CELERY_SEPARATOR
-from danswer.configs.constants import CELERY_VESPA_SYNC_BEAT_LOCK_TIMEOUT
-from danswer.configs.constants import DanswerCeleryPriority
-from danswer.configs.constants import DanswerCeleryQueues
-from danswer.db.connector_credential_pair import get_connector_credential_pair_from_id
-from danswer.db.document import construct_document_select_for_connector_credential_pair
-from danswer.db.document import (
-    construct_document_select_for_connector_credential_pair_by_needs_sync,
-)
-from danswer.db.document_set import construct_document_select_by_docset
-from danswer.utils.variable_functionality import fetch_versioned_implementation
-
-
-class RedisObjectHelper(ABC):
-    PREFIX = "base"
-    FENCE_PREFIX = PREFIX + "_fence"
-    TASKSET_PREFIX = PREFIX + "_taskset"
-
-    def __init__(self, id: int):
-        self._id: int = id
-
-    @property
-    def task_id_prefix(self) -> str:
-        return f"{self.PREFIX}_{self._id}"
-
-    @property
-    def fence_key(self) -> str:
-        # example: documentset_fence_1
-        return f"{self.FENCE_PREFIX}_{self._id}"
-
-    @property
-    def taskset_key(self) -> str:
-        # example: documentset_taskset_1
-        return f"{self.TASKSET_PREFIX}_{self._id}"
-
-    @staticmethod
-    def get_id_from_fence_key(key: str) -> int | None:
-        """
-        Extracts the object ID from a fence key in the format `PREFIX_fence_X`.
-
-        Args:
-            key (str): The fence key string.
-
-        Returns:
-            Optional[int]: The extracted ID if the key is in the correct format, otherwise None.
-        """
-        parts = key.split("_")
-        if len(parts) != 3:
-            return None
-
-        try:
-            object_id = int(parts[2])
-        except ValueError:
-            return None
-
-        return object_id
-
-    @staticmethod
-    def get_id_from_task_id(task_id: str) -> int | None:
-        """
-        Extracts the object ID from a task ID string.
-
-        This method assumes the task ID is formatted as `prefix_objectid_suffix`, where:
-        - `prefix` is an arbitrary string (e.g., the name of the task or entity),
-        - `objectid` is the ID you want to extract,
-        - `suffix` is another arbitrary string (e.g., a UUID).
-
-        Example:
-            If the input `task_id` is `documentset_1_cbfdc96a-80ca-4312-a242-0bb68da3c1dc`,
-            this method will return the string `"1"`.
-
-        Args:
-            task_id (str): The task ID string from which to extract the object ID.
-
-        Returns:
-            str | None: The extracted object ID if the task ID is in the correct format, otherwise None.
-        """
-        # example: task_id=documentset_1_cbfdc96a-80ca-4312-a242-0bb68da3c1dc
-        parts = task_id.split("_")
-        if len(parts) != 3:
-            return None
-
-        try:
-            object_id = int(parts[1])
-        except ValueError:
-            return None
-
-        return object_id
-
-    @abstractmethod
-    def generate_tasks(
-        self,
-        celery_app: Celery,
-        db_session: Session,
-        redis_client: Redis,
-        lock: redis.lock.Lock,
-    ) -> int | None:
-        pass
-
-
-class RedisDocumentSet(RedisObjectHelper):
-    PREFIX = "documentset"
-    FENCE_PREFIX = PREFIX + "_fence"
-    TASKSET_PREFIX = PREFIX + "_taskset"
-
-    def generate_tasks(
-        self,
-        celery_app: Celery,
-        db_session: Session,
-        redis_client: Redis,
-        lock: redis.lock.Lock,
-    ) -> int | None:
-        last_lock_time = time.monotonic()
-
-        async_results = []
-        stmt = construct_document_select_by_docset(self._id, current_only=False)
-        for doc in db_session.scalars(stmt).yield_per(1):
-            current_time = time.monotonic()
-            if current_time - last_lock_time >= (
-                CELERY_VESPA_SYNC_BEAT_LOCK_TIMEOUT / 4
-            ):
-                lock.reacquire()
-                last_lock_time = current_time
-
-            # celery's default task id format is "dd32ded3-00aa-4884-8b21-42f8332e7fac"
-            # the key for the result is "celery-task-meta-dd32ded3-00aa-4884-8b21-42f8332e7fac"
-            # we prefix the task id so it's easier to keep track of who created the task
-            # aka "documentset_1_6dd32ded3-00aa-4884-8b21-42f8332e7fac"
-            custom_task_id = f"{self.task_id_prefix}_{uuid4()}"
-
-            # add to the set BEFORE creating the task.
-            redis_client.sadd(self.taskset_key, custom_task_id)
-
-            result = celery_app.send_task(
-                "vespa_metadata_sync_task",
-                kwargs=dict(document_id=doc.id),
-                queue=DanswerCeleryQueues.VESPA_METADATA_SYNC,
-                task_id=custom_task_id,
-                priority=DanswerCeleryPriority.LOW,
-            )
-
-            async_results.append(result)
-
-        return len(async_results)
-
-
-class RedisUserGroup(RedisObjectHelper):
-    PREFIX = "usergroup"
-    FENCE_PREFIX = PREFIX + "_fence"
-    TASKSET_PREFIX = PREFIX + "_taskset"
-
-    def generate_tasks(
-        self,
-        celery_app: Celery,
-        db_session: Session,
-        redis_client: Redis,
-        lock: redis.lock.Lock,
-    ) -> int | None:
-        last_lock_time = time.monotonic()
-
-        async_results = []
-
-        try:
-            construct_document_select_by_usergroup = fetch_versioned_implementation(
-                "danswer.db.user_group",
-                "construct_document_select_by_usergroup",
-            )
-        except ModuleNotFoundError:
-            return 0
-
-        stmt = construct_document_select_by_usergroup(self._id)
-        for doc in db_session.scalars(stmt).yield_per(1):
-            current_time = time.monotonic()
-            if current_time - last_lock_time >= (
-                CELERY_VESPA_SYNC_BEAT_LOCK_TIMEOUT / 4
-            ):
-                lock.reacquire()
-                last_lock_time = current_time
-
-            # celery's default task id format is "dd32ded3-00aa-4884-8b21-42f8332e7fac"
-            # the key for the result is "celery-task-meta-dd32ded3-00aa-4884-8b21-42f8332e7fac"
-            # we prefix the task id so it's easier to keep track of who created the task
-            # aka "documentset_1_6dd32ded3-00aa-4884-8b21-42f8332e7fac"
-            custom_task_id = f"{self.task_id_prefix}_{uuid4()}"
-
-            # add to the set BEFORE creating the task.
-            redis_client.sadd(self.taskset_key, custom_task_id)
-
-            result = celery_app.send_task(
-                "vespa_metadata_sync_task",
-                kwargs=dict(document_id=doc.id),
-                queue=DanswerCeleryQueues.VESPA_METADATA_SYNC,
-                task_id=custom_task_id,
-                priority=DanswerCeleryPriority.LOW,
-            )
-
-            async_results.append(result)
-
-        return len(async_results)
-
-
-class RedisConnectorCredentialPair(RedisObjectHelper):
-    """This class differs from the default in that the taskset used spans
-    all connectors and is not per connector."""
-
-    PREFIX = "connectorsync"
-    FENCE_PREFIX = PREFIX + "_fence"
-    TASKSET_PREFIX = PREFIX + "_taskset"
-
-    @classmethod
-    def get_fence_key(cls) -> str:
-        return RedisConnectorCredentialPair.FENCE_PREFIX
-
-    @classmethod
-    def get_taskset_key(cls) -> str:
-        return RedisConnectorCredentialPair.TASKSET_PREFIX
-
-    @property
-    def taskset_key(self) -> str:
-        """Notice that this is intentionally reusing the same taskset for all
-        connector syncs"""
-        # example: connector_taskset
-        return f"{self.TASKSET_PREFIX}"
-
-    def generate_tasks(
-        self,
-        celery_app: Celery,
-        db_session: Session,
-        redis_client: Redis,
-        lock: redis.lock.Lock,
-    ) -> int | None:
-        last_lock_time = time.monotonic()
-
-        async_results = []
-        cc_pair = get_connector_credential_pair_from_id(self._id, db_session)
-        if not cc_pair:
-            return None
-
-        stmt = construct_document_select_for_connector_credential_pair_by_needs_sync(
-            cc_pair.connector_id, cc_pair.credential_id
-        )
-        for doc in db_session.scalars(stmt).yield_per(1):
-            current_time = time.monotonic()
-            if current_time - last_lock_time >= (
-                CELERY_VESPA_SYNC_BEAT_LOCK_TIMEOUT / 4
-            ):
-                lock.reacquire()
-                last_lock_time = current_time
-
-            # celery's default task id format is "dd32ded3-00aa-4884-8b21-42f8332e7fac"
-            # the key for the result is "celery-task-meta-dd32ded3-00aa-4884-8b21-42f8332e7fac"
-            # we prefix the task id so it's easier to keep track of who created the task
-            # aka "documentset_1_6dd32ded3-00aa-4884-8b21-42f8332e7fac"
-            custom_task_id = f"{self.task_id_prefix}_{uuid4()}"
-
-            # add to the tracking taskset in redis BEFORE creating the celery task.
-            # note that for the moment we are using a single taskset key, not differentiated by cc_pair id
-            redis_client.sadd(
-                RedisConnectorCredentialPair.get_taskset_key(), custom_task_id
-            )
-
-            # Priority on sync's triggered by new indexing should be medium
-            result = celery_app.send_task(
-                "vespa_metadata_sync_task",
-                kwargs=dict(document_id=doc.id),
-                queue=DanswerCeleryQueues.VESPA_METADATA_SYNC,
-                task_id=custom_task_id,
-                priority=DanswerCeleryPriority.MEDIUM,
-            )
-
-            async_results.append(result)
-
-        return len(async_results)
-
-
-class RedisConnectorDeletion(RedisObjectHelper):
-    PREFIX = "connectordeletion"
-    FENCE_PREFIX = PREFIX + "_fence"
-    TASKSET_PREFIX = PREFIX + "_taskset"
-
-    def generate_tasks(
-        self,
-        celery_app: Celery,
-        db_session: Session,
-        redis_client: Redis,
-        lock: redis.lock.Lock,
-    ) -> int | None:
-        last_lock_time = time.monotonic()
-
-        async_results = []
-        cc_pair = get_connector_credential_pair_from_id(self._id, db_session)
-        if not cc_pair:
-            return None
-
-        stmt = construct_document_select_for_connector_credential_pair(
-            cc_pair.connector_id, cc_pair.credential_id
-        )
-        for doc in db_session.scalars(stmt).yield_per(1):
-            current_time = time.monotonic()
-            if current_time - last_lock_time >= (
-                CELERY_VESPA_SYNC_BEAT_LOCK_TIMEOUT / 4
-            ):
-                lock.reacquire()
-                last_lock_time = current_time
-
-            # celery's default task id format is "dd32ded3-00aa-4884-8b21-42f8332e7fac"
-            # the actual redis key is "celery-task-meta-dd32ded3-00aa-4884-8b21-42f8332e7fac"
-            # we prefix the task id so it's easier to keep track of who created the task
-            # aka "documentset_1_6dd32ded3-00aa-4884-8b21-42f8332e7fac"
-            custom_task_id = f"{self.task_id_prefix}_{uuid4()}"
-
-            # add to the tracking taskset in redis BEFORE creating the celery task.
-            # note that for the moment we are using a single taskset key, not differentiated by cc_pair id
-            redis_client.sadd(self.taskset_key, custom_task_id)
-
-            # Priority on sync's triggered by new indexing should be medium
-            result = celery_app.send_task(
-                "document_by_cc_pair_cleanup_task",
-                kwargs=dict(
-                    document_id=doc.id,
-                    connector_id=cc_pair.connector_id,
-                    credential_id=cc_pair.credential_id,
-                ),
-                queue=DanswerCeleryQueues.CONNECTOR_DELETION,
-                task_id=custom_task_id,
-                priority=DanswerCeleryPriority.MEDIUM,
-            )
-
-            async_results.append(result)
-
-        return len(async_results)
-
-
-class RedisConnectorPruning(RedisObjectHelper):
-    """Celery will kick off a long running generator task to crawl the connector and
-    find any missing docs, which will each then get a new cleanup task. The progress of
-    those tasks will then be monitored to completion.
-
-    Example rough happy path order:
-    Check connectorpruning_fence_1
-    Send generator task with id connectorpruning+generator_1_{uuid}
-
-    generator runs connector with callbacks that increment connectorpruning_generator_progress_1
-    generator creates many subtasks with id connectorpruning+sub_1_{uuid}
-      in taskset connectorpruning_taskset_1
-    on completion, generator sets connectorpruning_generator_complete_1
-
-    celery postrun removes subtasks from taskset
-    monitor beat task cleans up when taskset reaches 0 items
-    """
-
-    PREFIX = "connectorpruning"
-    FENCE_PREFIX = PREFIX + "_fence"  # a fence for the entire pruning process
-    GENERATOR_TASK_PREFIX = PREFIX + "+generator"
-
-    TASKSET_PREFIX = PREFIX + "_taskset"  # stores a list of prune tasks id's
-    SUBTASK_PREFIX = PREFIX + "+sub"
-
-    GENERATOR_PROGRESS_PREFIX = (
-        PREFIX + "_generator_progress"
-    )  # a signal that contains generator progress
-    GENERATOR_COMPLETE_PREFIX = (
-        PREFIX + "_generator_complete"
-    )  # a signal that the generator has finished
-
-    def __init__(self, id: int) -> None:
-        """id: the cc_pair_id of the connector credential pair"""
-
-        super().__init__(id)
-        self.documents_to_prune: set[str] = set()
-
-    @property
-    def generator_task_id_prefix(self) -> str:
-        return f"{self.GENERATOR_TASK_PREFIX}_{self._id}"
-
-    @property
-    def generator_progress_key(self) -> str:
-        # example: connectorpruning_generator_progress_1
-        return f"{self.GENERATOR_PROGRESS_PREFIX}_{self._id}"
-
-    @property
-    def generator_complete_key(self) -> str:
-        # example: connectorpruning_generator_complete_1
-        return f"{self.GENERATOR_COMPLETE_PREFIX}_{self._id}"
-
-    @property
-    def subtask_id_prefix(self) -> str:
-        return f"{self.SUBTASK_PREFIX}_{self._id}"
-
-    def generate_tasks(
-        self,
-        celery_app: Celery,
-        db_session: Session,
-        redis_client: Redis,
-        lock: redis.lock.Lock | None,
-    ) -> int | None:
-        last_lock_time = time.monotonic()
-
-        async_results = []
-        cc_pair = get_connector_credential_pair_from_id(self._id, db_session)
-        if not cc_pair:
-            return None
-
-        for doc_id in self.documents_to_prune:
-            current_time = time.monotonic()
-            if lock and current_time - last_lock_time >= (
-                CELERY_VESPA_SYNC_BEAT_LOCK_TIMEOUT / 4
-            ):
-                lock.reacquire()
-                last_lock_time = current_time
-
-            # celery's default task id format is "dd32ded3-00aa-4884-8b21-42f8332e7fac"
-            # the actual redis key is "celery-task-meta-dd32ded3-00aa-4884-8b21-42f8332e7fac"
-            # we prefix the task id so it's easier to keep track of who created the task
-            # aka "documentset_1_6dd32ded3-00aa-4884-8b21-42f8332e7fac"
-            custom_task_id = f"{self.subtask_id_prefix}_{uuid4()}"
-
-            # add to the tracking taskset in redis BEFORE creating the celery task.
-            # note that for the moment we are using a single taskset key, not differentiated by cc_pair id
-            redis_client.sadd(self.taskset_key, custom_task_id)
-
-            # Priority on sync's triggered by new indexing should be medium
-            result = celery_app.send_task(
-                "document_by_cc_pair_cleanup_task",
-                kwargs=dict(
-                    document_id=doc_id,
-                    connector_id=cc_pair.connector_id,
-                    credential_id=cc_pair.credential_id,
-                ),
-                queue=DanswerCeleryQueues.CONNECTOR_DELETION,
-                task_id=custom_task_id,
-                priority=DanswerCeleryPriority.MEDIUM,
-            )
-
-            async_results.append(result)
-
-        return len(async_results)
-
-    def is_pruning(self, db_session: Session, redis_client: Redis) -> bool:
-        """A single example of a helper method being refactored into the redis helper"""
-        cc_pair = get_connector_credential_pair_from_id(
-            cc_pair_id=self._id, db_session=db_session
-        )
-        if not cc_pair:
-            raise ValueError(f"cc_pair_id {self._id} does not exist.")
-
-        if redis_client.exists(self.fence_key):
-            return True
-
-        return False
-
-
-def celery_get_queue_length(queue: str, r: Redis) -> int:
-    """This is a redis specific way to get the length of a celery queue.
-    It is priority aware and knows how to count across the multiple redis lists
-    used to implement task prioritization.
-    This operation is not atomic."""
-    total_length = 0
-    for i in range(len(DanswerCeleryPriority)):
-        queue_name = queue
-        if i > 0:
-            queue_name += CELERY_SEPARATOR
-            queue_name += str(i)
-
-        length = r.llen(queue_name)
-        total_length += cast(int, length)
-
-    return total_length

backend/danswer/background/celery/celery_utils.py

@@ -1,12 +1,13 @@
-from collections.abc import Callable
 from datetime import datetime
 from datetime import timezone
-from typing import Any
 
 from sqlalchemy.orm import Session
 
-from danswer.background.celery.celery_redis import RedisConnectorDeletion
+from danswer.background.task_utils import name_cc_cleanup_task
+from danswer.background.task_utils import name_cc_prune_task
+from danswer.background.task_utils import name_document_set_sync_task
 from danswer.configs.app_configs import MAX_PRUNING_DOCUMENT_RETRIEVAL_PER_MINUTE
+from danswer.configs.app_configs import PREVENT_SIMULTANEOUS_PRUNING
 from danswer.connectors.cross_connector_utils.rate_limit_wrapper import (
     rate_limit_builder,
 )
@@ -15,67 +16,101 @@ from danswer.connectors.interfaces import IdConnector
 from danswer.connectors.interfaces import LoadConnector
 from danswer.connectors.interfaces import PollConnector
 from danswer.connectors.models import Document
-from danswer.db.connector_credential_pair import get_connector_credential_pair
-from danswer.db.enums import TaskStatus
-from danswer.db.models import TaskQueueState
-from danswer.redis.redis_pool import get_redis_client
+from danswer.db.engine import get_db_current_time
+from danswer.db.models import Connector
+from danswer.db.models import Credential
+from danswer.db.models import DocumentSet
+from danswer.db.tasks import check_task_is_live_and_not_timed_out
+from danswer.db.tasks import get_latest_task
+from danswer.db.tasks import get_latest_task_by_type
 from danswer.server.documents.models import DeletionAttemptSnapshot
 from danswer.utils.logger import setup_logger
 
-
 logger = setup_logger()
 
 
-def _get_deletion_status(
-    connector_id: int, credential_id: int, db_session: Session
-) -> TaskQueueState | None:
-    """We no longer store TaskQueueState in the DB for a deletion attempt.
-    This function populates TaskQueueState by just checking redis.
-    """
-    cc_pair = get_connector_credential_pair(
-        connector_id=connector_id, credential_id=credential_id, db_session=db_session
-    )
-    if not cc_pair:
-        return None
-
-    rcd = RedisConnectorDeletion(cc_pair.id)
-
-    r = get_redis_client()
-    if not r.exists(rcd.fence_key):
-        return None
-
-    return TaskQueueState(
-        task_id="", task_name=rcd.fence_key, status=TaskStatus.STARTED
-    )
-
-
-def get_deletion_attempt_snapshot(
+def get_deletion_status(
     connector_id: int, credential_id: int, db_session: Session
 ) -> DeletionAttemptSnapshot | None:
-    deletion_task = _get_deletion_status(connector_id, credential_id, db_session)
-    if not deletion_task:
+    cleanup_task_name = name_cc_cleanup_task(
+        connector_id=connector_id, credential_id=credential_id
+    )
+    task_state = get_latest_task(task_name=cleanup_task_name, db_session=db_session)
+
+    if not task_state:
         return None
 
     return DeletionAttemptSnapshot(
         connector_id=connector_id,
         credential_id=credential_id,
-        status=deletion_task.status,
+        status=task_state.status,
     )
 
 
+def should_sync_doc_set(document_set: DocumentSet, db_session: Session) -> bool:
+    if document_set.is_up_to_date:
+        return False
+
+    task_name = name_document_set_sync_task(document_set.id)
+    latest_sync = get_latest_task(task_name, db_session)
+
+    if latest_sync and check_task_is_live_and_not_timed_out(latest_sync, db_session):
+        logger.info(f"Document set '{document_set.id}' is already syncing. Skipping.")
+        return False
+
+    logger.info(f"Document set {document_set.id} syncing now!")
+    return True
+
+
+def should_prune_cc_pair(
+    connector: Connector, credential: Credential, db_session: Session
+) -> bool:
+    if not connector.prune_freq:
+        return False
+
+    pruning_task_name = name_cc_prune_task(
+        connector_id=connector.id, credential_id=credential.id
+    )
+    last_pruning_task = get_latest_task(pruning_task_name, db_session)
+    current_db_time = get_db_current_time(db_session)
+
+    if not last_pruning_task:
+        time_since_initialization = current_db_time - connector.time_created
+        if time_since_initialization.total_seconds() >= connector.prune_freq:
+            return True
+        return False
+
+    if PREVENT_SIMULTANEOUS_PRUNING:
+        pruning_type_task_name = name_cc_prune_task()
+        last_pruning_type_task = get_latest_task_by_type(
+            pruning_type_task_name, db_session
+        )
+
+        if last_pruning_type_task and check_task_is_live_and_not_timed_out(
+            last_pruning_type_task, db_session
+        ):
+            logger.info("Another Connector is already pruning. Skipping.")
+            return False
+
+    if check_task_is_live_and_not_timed_out(last_pruning_task, db_session):
+        logger.info(f"Connector '{connector.name}' is already pruning. Skipping.")
+        return False
+
+    if not last_pruning_task.start_time:
+        return False
+
+    time_since_last_pruning = current_db_time - last_pruning_task.start_time
+    return time_since_last_pruning.total_seconds() >= connector.prune_freq
+
+
 def document_batch_to_ids(doc_batch: list[Document]) -> set[str]:
     return {doc.id for doc in doc_batch}
 
 
-def extract_ids_from_runnable_connector(
-    runnable_connector: BaseConnector,
-    progress_callback: Callable[[int], None] | None = None,
-) -> set[str]:
+def extract_ids_from_runnable_connector(runnable_connector: BaseConnector) -> set[str]:
     """
     If the PruneConnector hasnt been implemented for the given connector, just pull
-    all docs using the load_from_state and grab out the IDs.
-
-    Optionally, a callback can be passed to handle the length of each document batch.
+    all docs using the load_from_state and grab out the IDs
     """
     all_connector_doc_ids: set[str] = set()
 
@@ -98,36 +133,6 @@ def extract_ids_from_runnable_connector(
                 max_calls=MAX_PRUNING_DOCUMENT_RETRIEVAL_PER_MINUTE, period=60
             )(document_batch_to_ids)
         for doc_batch in doc_batch_generator:
-            if progress_callback:
-                progress_callback(len(doc_batch))
             all_connector_doc_ids.update(doc_batch_processing_func(doc_batch))
 
     return all_connector_doc_ids
-
-
-def celery_is_listening_to_queue(worker: Any, name: str) -> bool:
-    """Checks to see if we're listening to the named queue"""
-
-    # how to get a list of queues this worker is listening to
-    # https://stackoverflow.com/questions/29790523/how-to-determine-which-queues-a-celery-worker-is-consuming-at-runtime
-    queue_names = list(worker.app.amqp.queues.consume_from.keys())
-    for queue_name in queue_names:
-        if queue_name == name:
-            return True
-
-    return False
-
-
-def celery_is_worker_primary(worker: Any) -> bool:
-    """There are multiple approaches that could be taken to determine if a celery worker
-    is 'primary', as defined by us. But the way we do it is to check the hostname set
-    for the celery worker, which can be done either in celeryconfig.py or on the
-    command line with '--hostname'."""
-    hostname = worker.hostname
-    if hostname.startswith("light"):
-        return False
-
-    if hostname.startswith("heavy"):
-        return False
-
-    return True

backend/danswer/background/celery/celeryconfig.py

@@ -1,97 +0,0 @@
-# docs: https://docs.celeryq.dev/en/stable/userguide/configuration.html
-from danswer.configs.app_configs import CELERY_BROKER_POOL_LIMIT
-from danswer.configs.app_configs import CELERY_RESULT_EXPIRES
-from danswer.configs.app_configs import REDIS_DB_NUMBER_CELERY
-from danswer.configs.app_configs import REDIS_DB_NUMBER_CELERY_RESULT_BACKEND
-from danswer.configs.app_configs import REDIS_HEALTH_CHECK_INTERVAL
-from danswer.configs.app_configs import REDIS_HOST
-from danswer.configs.app_configs import REDIS_PASSWORD
-from danswer.configs.app_configs import REDIS_PORT
-from danswer.configs.app_configs import REDIS_SSL
-from danswer.configs.app_configs import REDIS_SSL_CA_CERTS
-from danswer.configs.app_configs import REDIS_SSL_CERT_REQS
-from danswer.configs.constants import DanswerCeleryPriority
-from danswer.configs.constants import REDIS_SOCKET_KEEPALIVE_OPTIONS
-
-CELERY_SEPARATOR = ":"
-
-CELERY_PASSWORD_PART = ""
-if REDIS_PASSWORD:
-    CELERY_PASSWORD_PART = f":{REDIS_PASSWORD}@"
-
-REDIS_SCHEME = "redis"
-
-# SSL-specific query parameters for Redis URL
-SSL_QUERY_PARAMS = ""
-if REDIS_SSL:
-    REDIS_SCHEME = "rediss"
-    SSL_QUERY_PARAMS = f"?ssl_cert_reqs={REDIS_SSL_CERT_REQS}"
-    if REDIS_SSL_CA_CERTS:
-        SSL_QUERY_PARAMS += f"&ssl_ca_certs={REDIS_SSL_CA_CERTS}"
-
-# example celery_broker_url: "redis://:password@localhost:6379/15"
-broker_url = f"{REDIS_SCHEME}://{CELERY_PASSWORD_PART}{REDIS_HOST}:{REDIS_PORT}/{REDIS_DB_NUMBER_CELERY}{SSL_QUERY_PARAMS}"
-
-result_backend = f"{REDIS_SCHEME}://{CELERY_PASSWORD_PART}{REDIS_HOST}:{REDIS_PORT}/{REDIS_DB_NUMBER_CELERY_RESULT_BACKEND}{SSL_QUERY_PARAMS}"
-
-# NOTE: prefetch 4 is significantly faster than prefetch 1 for small tasks
-# however, prefetching is bad when tasks are lengthy as those tasks
-# can stall other tasks.
-worker_prefetch_multiplier = 4
-
-broker_connection_retry_on_startup = True
-broker_pool_limit = CELERY_BROKER_POOL_LIMIT
-
-# redis broker settings
-# https://docs.celeryq.dev/projects/kombu/en/stable/reference/kombu.transport.redis.html
-broker_transport_options = {
-    "priority_steps": list(range(len(DanswerCeleryPriority))),
-    "sep": CELERY_SEPARATOR,
-    "queue_order_strategy": "priority",
-    "retry_on_timeout": True,
-    "health_check_interval": REDIS_HEALTH_CHECK_INTERVAL,
-    "socket_keepalive": True,
-    "socket_keepalive_options": REDIS_SOCKET_KEEPALIVE_OPTIONS,
-}
-
-# redis backend settings
-# https://docs.celeryq.dev/en/stable/userguide/configuration.html#redis-backend-settings
-
-# there doesn't appear to be a way to set socket_keepalive_options on the redis result backend
-redis_socket_keepalive = True
-redis_retry_on_timeout = True
-redis_backend_health_check_interval = REDIS_HEALTH_CHECK_INTERVAL
-
-
-task_default_priority = DanswerCeleryPriority.MEDIUM
-task_acks_late = True
-
-# It's possible we don't even need celery's result backend, in which case all of the optimization below
-# might be irrelevant
-result_expires = CELERY_RESULT_EXPIRES  # 86400 seconds is the default
-
-# Option 0: Defaults (json serializer, no compression)
-# about 1.5 KB per queued task. 1KB in queue, 400B for result, 100 as a child entry in generator result
-
-# Option 1: Reduces generator task result sizes by roughly 20%
-# task_compression = "bzip2"
-# task_serializer = "pickle"
-# result_compression = "bzip2"
-# result_serializer = "pickle"
-# accept_content=["pickle"]
-
-# Option 2: this significantly reduces the size of the result for generator tasks since the list of children
-# can be large. small tasks change very little
-# def pickle_bz2_encoder(data):
-#     return bz2.compress(pickle.dumps(data))
-
-# def pickle_bz2_decoder(data):
-#     return pickle.loads(bz2.decompress(data))
-
-# from kombu import serialization  # To register custom serialization with Celery/Kombu
-
-# serialization.register('pickle-bzip2', pickle_bz2_encoder, pickle_bz2_decoder, 'application/x-pickle-bz2', 'binary')
-
-# task_serializer = "pickle-bzip2"
-# result_serializer = "pickle-bzip2"
-# accept_content=["pickle", "pickle-bzip2"]

backend/danswer/background/celery/tasks/connector_deletion/tasks.py

@@ -1,110 +0,0 @@
-import redis
-from celery import shared_task
-from celery.exceptions import SoftTimeLimitExceeded
-from redis import Redis
-from sqlalchemy.orm import Session
-from sqlalchemy.orm.exc import ObjectDeletedError
-
-from danswer.background.celery.celery_app import celery_app
-from danswer.background.celery.celery_app import task_logger
-from danswer.background.celery.celery_redis import RedisConnectorDeletion
-from danswer.configs.app_configs import JOB_TIMEOUT
-from danswer.configs.constants import CELERY_VESPA_SYNC_BEAT_LOCK_TIMEOUT
-from danswer.configs.constants import DanswerRedisLocks
-from danswer.db.connector_credential_pair import get_connector_credential_pairs
-from danswer.db.engine import get_sqlalchemy_engine
-from danswer.db.enums import ConnectorCredentialPairStatus
-from danswer.db.models import ConnectorCredentialPair
-from danswer.redis.redis_pool import get_redis_client
-
-
-@shared_task(
-    name="check_for_connector_deletion_task",
-    soft_time_limit=JOB_TIMEOUT,
-    trail=False,
-)
-def check_for_connector_deletion_task() -> None:
-    r = get_redis_client()
-
-    lock_beat = r.lock(
-        DanswerRedisLocks.CHECK_CONNECTOR_DELETION_BEAT_LOCK,
-        timeout=CELERY_VESPA_SYNC_BEAT_LOCK_TIMEOUT,
-    )
-
-    try:
-        # these tasks should never overlap
-        if not lock_beat.acquire(blocking=False):
-            return
-
-        with Session(get_sqlalchemy_engine()) as db_session:
-            cc_pairs = get_connector_credential_pairs(db_session)
-            for cc_pair in cc_pairs:
-                try_generate_document_cc_pair_cleanup_tasks(
-                    cc_pair, db_session, r, lock_beat
-                )
-    except SoftTimeLimitExceeded:
-        task_logger.info(
-            "Soft time limit exceeded, task is being terminated gracefully."
-        )
-    except Exception:
-        task_logger.exception("Unexpected exception")
-    finally:
-        if lock_beat.owned():
-            lock_beat.release()
-
-
-def try_generate_document_cc_pair_cleanup_tasks(
-    cc_pair: ConnectorCredentialPair,
-    db_session: Session,
-    r: Redis,
-    lock_beat: redis.lock.Lock,
-) -> int | None:
-    """Returns an int if syncing is needed. The int represents the number of sync tasks generated.
-    Note that syncing can still be required even if the number of sync tasks generated is zero.
-    Returns None if no syncing is required.
-    """
-
-    lock_beat.reacquire()
-
-    rcd = RedisConnectorDeletion(cc_pair.id)
-
-    # don't generate sync tasks if tasks are still pending
-    if r.exists(rcd.fence_key):
-        return None
-
-    # we need to refresh the state of the object inside the fence
-    # to avoid a race condition with db.commit/fence deletion
-    # at the end of this taskset
-    try:
-        db_session.refresh(cc_pair)
-    except ObjectDeletedError:
-        return None
-
-    if cc_pair.status != ConnectorCredentialPairStatus.DELETING:
-        return None
-
-    # add tasks to celery and build up the task set to monitor in redis
-    r.delete(rcd.taskset_key)
-
-    # Add all documents that need to be updated into the queue
-    task_logger.info(
-        f"RedisConnectorDeletion.generate_tasks starting. cc_pair_id={cc_pair.id}"
-    )
-    tasks_generated = rcd.generate_tasks(celery_app, db_session, r, lock_beat)
-    if tasks_generated is None:
-        return None
-
-    # Currently we are allowing the sync to proceed with 0 tasks.
-    # It's possible for sets/groups to be generated initially with no entries
-    # and they still need to be marked as up to date.
-    # if tasks_generated == 0:
-    #     return 0
-
-    task_logger.info(
-        f"RedisConnectorDeletion.generate_tasks finished. "
-        f"cc_pair_id={cc_pair.id} tasks_generated={tasks_generated}"
-    )
-
-    # set this only after all tasks have been added
-    r.set(rcd.fence_key, tasks_generated)
-    return tasks_generated

backend/danswer/background/celery/tasks/periodic/tasks.py

@@ -1,137 +0,0 @@
-#####
-# Periodic Tasks
-#####
-import json
-from typing import Any
-
-from celery import shared_task
-from celery.contrib.abortable import AbortableTask  # type: ignore
-from celery.exceptions import TaskRevokedError
-from sqlalchemy import inspect
-from sqlalchemy import text
-from sqlalchemy.orm import Session
-
-from danswer.background.celery.celery_app import task_logger
-from danswer.configs.app_configs import JOB_TIMEOUT
-from danswer.configs.constants import PostgresAdvisoryLocks
-from danswer.db.engine import get_sqlalchemy_engine  # type: ignore
-
-
-@shared_task(
-    name="kombu_message_cleanup_task",
-    soft_time_limit=JOB_TIMEOUT,
-    bind=True,
-    base=AbortableTask,
-)
-def kombu_message_cleanup_task(self: Any) -> int:
-    """Runs periodically to clean up the kombu_message table"""
-
-    # we will select messages older than this amount to clean up
-    KOMBU_MESSAGE_CLEANUP_AGE = 7  # days
-    KOMBU_MESSAGE_CLEANUP_PAGE_LIMIT = 1000
-
-    ctx = {}
-    ctx["last_processed_id"] = 0
-    ctx["deleted"] = 0
-    ctx["cleanup_age"] = KOMBU_MESSAGE_CLEANUP_AGE
-    ctx["page_limit"] = KOMBU_MESSAGE_CLEANUP_PAGE_LIMIT
-    with Session(get_sqlalchemy_engine()) as db_session:
-        # Exit the task if we can't take the advisory lock
-        result = db_session.execute(
-            text("SELECT pg_try_advisory_lock(:id)"),
-            {"id": PostgresAdvisoryLocks.KOMBU_MESSAGE_CLEANUP_LOCK_ID.value},
-        ).scalar()
-        if not result:
-            return 0
-
-        while True:
-            if self.is_aborted():
-                raise TaskRevokedError("kombu_message_cleanup_task was aborted.")
-
-            b = kombu_message_cleanup_task_helper(ctx, db_session)
-            if not b:
-                break
-
-            db_session.commit()
-
-    if ctx["deleted"] > 0:
-        task_logger.info(
-            f"Deleted {ctx['deleted']} orphaned messages from kombu_message."
-        )
-
-    return ctx["deleted"]
-
-
-def kombu_message_cleanup_task_helper(ctx: dict, db_session: Session) -> bool:
-    """
-    Helper function to clean up old messages from the `kombu_message` table that are no longer relevant.
-
-    This function retrieves messages from the `kombu_message` table that are no longer visible and
-    older than a specified interval. It checks if the corresponding task_id exists in the
-    `celery_taskmeta` table. If the task_id does not exist, the message is deleted.
-
-    Args:
-        ctx (dict): A context dictionary containing configuration parameters such as:
-            - 'cleanup_age' (int): The age in days after which messages are considered old.
-            - 'page_limit' (int): The maximum number of messages to process in one batch.
-            - 'last_processed_id' (int): The ID of the last processed message to handle pagination.
-            - 'deleted' (int): A counter to track the number of deleted messages.
-        db_session (Session): The SQLAlchemy database session for executing queries.
-
-    Returns:
-        bool: Returns True if there are more rows to process, False if not.
-    """
-
-    inspector = inspect(db_session.bind)
-    if not inspector:
-        return False
-
-    # With the move to redis as celery's broker and backend, kombu tables may not even exist.
-    # We can fail silently.
-    if not inspector.has_table("kombu_message"):
-        return False
-
-    query = text(
-        """
-    SELECT id, timestamp, payload
-    FROM kombu_message WHERE visible = 'false'
-    AND timestamp < CURRENT_TIMESTAMP - INTERVAL :interval_days
-    AND id > :last_processed_id
-    ORDER BY id
-    LIMIT :page_limit
-"""
-    )
-    kombu_messages = db_session.execute(
-        query,
-        {
-            "interval_days": f"{ctx['cleanup_age']} days",
-            "page_limit": ctx["page_limit"],
-            "last_processed_id": ctx["last_processed_id"],
-        },
-    ).fetchall()
-
-    if len(kombu_messages) == 0:
-        return False
-
-    for msg in kombu_messages:
-        payload = json.loads(msg[2])
-        task_id = payload["headers"]["id"]
-
-        # Check if task_id exists in celery_taskmeta
-        task_exists = db_session.execute(
-            text("SELECT 1 FROM celery_taskmeta WHERE task_id = :task_id"),
-            {"task_id": task_id},
-        ).fetchone()
-
-        # If task_id does not exist, delete the message
-        if not task_exists:
-            result = db_session.execute(
-                text("DELETE FROM kombu_message WHERE id = :message_id"),
-                {"message_id": msg[0]},
-            )
-            if result.rowcount > 0:  # type: ignore
-                ctx["deleted"] += 1
-
-        ctx["last_processed_id"] = msg[0]
-
-    return True

backend/danswer/background/celery/tasks/pruning/tasks.py

@@ -1,239 +0,0 @@
-from datetime import datetime
-from datetime import timedelta
-from datetime import timezone
-from uuid import uuid4
-
-import redis
-from celery import shared_task
-from celery.exceptions import SoftTimeLimitExceeded
-from redis import Redis
-from sqlalchemy.orm import Session
-
-from danswer.background.celery.celery_app import celery_app
-from danswer.background.celery.celery_app import task_logger
-from danswer.background.celery.celery_redis import RedisConnectorPruning
-from danswer.background.celery.celery_utils import extract_ids_from_runnable_connector
-from danswer.configs.app_configs import ALLOW_SIMULTANEOUS_PRUNING
-from danswer.configs.app_configs import JOB_TIMEOUT
-from danswer.configs.constants import CELERY_VESPA_SYNC_BEAT_LOCK_TIMEOUT
-from danswer.configs.constants import DanswerCeleryPriority
-from danswer.configs.constants import DanswerCeleryQueues
-from danswer.configs.constants import DanswerRedisLocks
-from danswer.connectors.factory import instantiate_connector
-from danswer.connectors.models import InputType
-from danswer.db.connector_credential_pair import get_connector_credential_pair
-from danswer.db.connector_credential_pair import get_connector_credential_pairs
-from danswer.db.document import get_documents_for_connector_credential_pair
-from danswer.db.engine import get_sqlalchemy_engine
-from danswer.db.enums import ConnectorCredentialPairStatus
-from danswer.db.models import ConnectorCredentialPair
-from danswer.redis.redis_pool import get_redis_client
-
-
-@shared_task(
-    name="check_for_prune_task_2",
-    soft_time_limit=JOB_TIMEOUT,
-)
-def check_for_prune_task_2() -> None:
-    r = get_redis_client()
-
-    lock_beat = r.lock(
-        DanswerRedisLocks.CHECK_PRUNE_BEAT_LOCK,
-        timeout=CELERY_VESPA_SYNC_BEAT_LOCK_TIMEOUT,
-    )
-
-    try:
-        # these tasks should never overlap
-        if not lock_beat.acquire(blocking=False):
-            return
-
-        with Session(get_sqlalchemy_engine()) as db_session:
-            cc_pairs = get_connector_credential_pairs(db_session)
-            for cc_pair in cc_pairs:
-                tasks_created = ccpair_pruning_generator_task_creation_helper(
-                    cc_pair, db_session, r, lock_beat
-                )
-                if not tasks_created:
-                    continue
-
-                task_logger.info(f"Pruning started: cc_pair_id={cc_pair.id}")
-    except SoftTimeLimitExceeded:
-        task_logger.info(
-            "Soft time limit exceeded, task is being terminated gracefully."
-        )
-    except Exception:
-        task_logger.exception("Unexpected exception")
-    finally:
-        if lock_beat.owned():
-            lock_beat.release()
-
-
-def ccpair_pruning_generator_task_creation_helper(
-    cc_pair: ConnectorCredentialPair,
-    db_session: Session,
-    r: Redis,
-    lock_beat: redis.lock.Lock,
-) -> int | None:
-    """Returns an int if pruning is triggered.
-    The int represents the number of prune tasks generated (in this case, only one
-    because the task is a long running generator task.)
-    Returns None if no pruning is triggered (due to not being needed or
-    other reasons such as simultaneous pruning restrictions.
-
-    Checks for scheduling related conditions, then delegates the rest of the checks to
-    try_creating_prune_generator_task.
-    """
-
-    lock_beat.reacquire()
-
-    # skip pruning if no prune frequency is set
-    # pruning can still be forced via the API which will run a pruning task directly
-    if not cc_pair.connector.prune_freq:
-        return None
-
-    # skip pruning if the next scheduled prune time hasn't been reached yet
-    last_pruned = cc_pair.last_pruned
-    if not last_pruned:
-        # if never pruned, use the connector time created as the last_pruned time
-        last_pruned = cc_pair.connector.time_created
-
-    next_prune = last_pruned + timedelta(seconds=cc_pair.connector.prune_freq)
-    if datetime.now(timezone.utc) < next_prune:
-        return None
-
-    return try_creating_prune_generator_task(cc_pair, db_session, r)
-
-
-def try_creating_prune_generator_task(
-    cc_pair: ConnectorCredentialPair,
-    db_session: Session,
-    r: Redis,
-) -> int | None:
-    """Checks for any conditions that should block the pruning generator task from being
-    created, then creates the task.
-
-    Does not check for scheduling related conditions as this function
-    is used to trigger prunes immediately.
-    """
-
-    if not ALLOW_SIMULTANEOUS_PRUNING:
-        for key in r.scan_iter(RedisConnectorPruning.FENCE_PREFIX + "*"):
-            return None
-
-    rcp = RedisConnectorPruning(cc_pair.id)
-
-    # skip pruning if already pruning
-    if r.exists(rcp.fence_key):
-        return None
-
-    # skip pruning if the cc_pair is deleting
-    db_session.refresh(cc_pair)
-    if cc_pair.status == ConnectorCredentialPairStatus.DELETING:
-        return None
-
-    # add a long running generator task to the queue
-    r.delete(rcp.generator_complete_key)
-    r.delete(rcp.taskset_key)
-
-    custom_task_id = f"{rcp.generator_task_id_prefix}_{uuid4()}"
-
-    celery_app.send_task(
-        "connector_pruning_generator_task",
-        kwargs=dict(
-            connector_id=cc_pair.connector_id, credential_id=cc_pair.credential_id
-        ),
-        queue=DanswerCeleryQueues.CONNECTOR_PRUNING,
-        task_id=custom_task_id,
-        priority=DanswerCeleryPriority.LOW,
-    )
-
-    # set this only after all tasks have been added
-    r.set(rcp.fence_key, 1)
-    return 1
-
-
-@shared_task(name="connector_pruning_generator_task", soft_time_limit=JOB_TIMEOUT)
-def connector_pruning_generator_task(connector_id: int, credential_id: int) -> None:
-    """connector pruning task. For a cc pair, this task pulls all document IDs from the source
-    and compares those IDs to locally stored documents and deletes all locally stored IDs missing
-    from the most recently pulled document ID list"""
-
-    r = get_redis_client()
-
-    with Session(get_sqlalchemy_engine()) as db_session:
-        try:
-            cc_pair = get_connector_credential_pair(
-                db_session=db_session,
-                connector_id=connector_id,
-                credential_id=credential_id,
-            )
-
-            if not cc_pair:
-                task_logger.warning(
-                    f"ccpair not found for {connector_id} {credential_id}"
-                )
-                return
-
-            rcp = RedisConnectorPruning(cc_pair.id)
-
-            # Define the callback function
-            def redis_increment_callback(amount: int) -> None:
-                r.incrby(rcp.generator_progress_key, amount)
-
-            runnable_connector = instantiate_connector(
-                db_session,
-                cc_pair.connector.source,
-                InputType.PRUNE,
-                cc_pair.connector.connector_specific_config,
-                cc_pair.credential,
-            )
-
-            # a list of docs in the source
-            all_connector_doc_ids: set[str] = extract_ids_from_runnable_connector(
-                runnable_connector, redis_increment_callback
-            )
-
-            # a list of docs in our local index
-            all_indexed_document_ids = {
-                doc.id
-                for doc in get_documents_for_connector_credential_pair(
-                    db_session=db_session,
-                    connector_id=connector_id,
-                    credential_id=credential_id,
-                )
-            }
-
-            # generate list of docs to remove (no longer in the source)
-            doc_ids_to_remove = list(all_indexed_document_ids - all_connector_doc_ids)
-
-            task_logger.info(
-                f"Pruning set collected: "
-                f"cc_pair_id={cc_pair.id} "
-                f"docs_to_remove={len(doc_ids_to_remove)} "
-                f"doc_source={cc_pair.connector.source}"
-            )
-
-            rcp.documents_to_prune = set(doc_ids_to_remove)
-
-            task_logger.info(
-                f"RedisConnectorPruning.generate_tasks starting. cc_pair_id={cc_pair.id}"
-            )
-            tasks_generated = rcp.generate_tasks(celery_app, db_session, r, None)
-            if tasks_generated is None:
-                return None
-
-            task_logger.info(
-                f"RedisConnectorPruning.generate_tasks finished. "
-                f"cc_pair_id={cc_pair.id} tasks_generated={tasks_generated}"
-            )
-
-            r.set(rcp.generator_complete_key, tasks_generated)
-        except Exception as e:
-            task_logger.exception(
-                f"Failed to run pruning for connector id {connector_id}."
-            )
-
-            r.delete(rcp.generator_progress_key)
-            r.delete(rcp.taskset_key)
-            r.delete(rcp.fence_key)
-            raise e

backend/danswer/background/celery/tasks/shared/tasks.py

@@ -1,113 +0,0 @@
-from celery import shared_task
-from celery import Task
-from celery.exceptions import SoftTimeLimitExceeded
-from sqlalchemy.orm import Session
-
-from danswer.access.access import get_access_for_document
-from danswer.background.celery.celery_app import task_logger
-from danswer.db.document import delete_document_by_connector_credential_pair__no_commit
-from danswer.db.document import delete_documents_complete__no_commit
-from danswer.db.document import get_document
-from danswer.db.document import get_document_connector_count
-from danswer.db.document import mark_document_as_synced
-from danswer.db.document_set import fetch_document_sets_for_document
-from danswer.db.engine import get_sqlalchemy_engine
-from danswer.document_index.document_index_utils import get_both_index_names
-from danswer.document_index.factory import get_default_document_index
-from danswer.document_index.interfaces import VespaDocumentFields
-from danswer.server.documents.models import ConnectorCredentialPairIdentifier
-
-
-@shared_task(
-    name="document_by_cc_pair_cleanup_task",
-    bind=True,
-    soft_time_limit=45,
-    time_limit=60,
-    max_retries=3,
-)
-def document_by_cc_pair_cleanup_task(
-    self: Task, document_id: str, connector_id: int, credential_id: int
-) -> bool:
-    """A lightweight subtask used to clean up document to cc pair relationships.
-    Created by connection deletion and connector pruning parent tasks."""
-
-    """
-    To delete a connector / credential pair:
-    (1) find all documents associated with connector / credential pair where there
-    this the is only connector / credential pair that has indexed it
-    (2) delete all documents from document stores
-    (3) delete all entries from postgres
-    (4) find all documents associated with connector / credential pair where there
-    are multiple connector / credential pairs that have indexed it
-    (5) update document store entries to remove access associated with the
-    connector / credential pair from the access list
-    (6) delete all relevant entries from postgres
-    """
-    task_logger.info(f"document_id={document_id}")
-
-    try:
-        with Session(get_sqlalchemy_engine()) as db_session:
-            curr_ind_name, sec_ind_name = get_both_index_names(db_session)
-            document_index = get_default_document_index(
-                primary_index_name=curr_ind_name, secondary_index_name=sec_ind_name
-            )
-
-            count = get_document_connector_count(db_session, document_id)
-            if count == 1:
-                # count == 1 means this is the only remaining cc_pair reference to the doc
-                # delete it from vespa and the db
-                document_index.delete(doc_ids=[document_id])
-                delete_documents_complete__no_commit(
-                    db_session=db_session,
-                    document_ids=[document_id],
-                )
-            elif count > 1:
-                # count > 1 means the document still has cc_pair references
-                doc = get_document(document_id, db_session)
-                if not doc:
-                    return False
-
-                # the below functions do not include cc_pairs being deleted.
-                # i.e. they will correctly omit access for the current cc_pair
-                doc_access = get_access_for_document(
-                    document_id=document_id, db_session=db_session
-                )
-
-                doc_sets = fetch_document_sets_for_document(document_id, db_session)
-                update_doc_sets: set[str] = set(doc_sets)
-
-                fields = VespaDocumentFields(
-                    document_sets=update_doc_sets,
-                    access=doc_access,
-                    boost=doc.boost,
-                    hidden=doc.hidden,
-                )
-
-                # update Vespa. OK if doc doesn't exist. Raises exception otherwise.
-                document_index.update_single(document_id, fields=fields)
-
-                # there are still other cc_pair references to the doc, so just resync to Vespa
-                delete_document_by_connector_credential_pair__no_commit(
-                    db_session=db_session,
-                    document_id=document_id,
-                    connector_credential_pair_identifier=ConnectorCredentialPairIdentifier(
-                        connector_id=connector_id,
-                        credential_id=credential_id,
-                    ),
-                )
-
-                mark_document_as_synced(document_id, db_session)
-            else:
-                pass
-
-            db_session.commit()
-    except SoftTimeLimitExceeded:
-        task_logger.info(f"SoftTimeLimitExceeded exception. doc_id={document_id}")
-    except Exception as e:
-        task_logger.exception("Unexpected exception")
-
-        # Exponential backoff from 2^4 to 2^6 ... i.e. 16, 32, 64
-        countdown = 2 ** (self.request.retries + 4)
-        self.retry(exc=e, countdown=countdown)
-
-    return True

backend/danswer/background/celery/tasks/vespa/tasks.py

@@ -1,576 +0,0 @@
-import traceback
-from typing import cast
-
-import redis
-from celery import shared_task
-from celery import Task
-from celery.exceptions import SoftTimeLimitExceeded
-from redis import Redis
-from sqlalchemy.orm import Session
-
-from danswer.access.access import get_access_for_document
-from danswer.background.celery.celery_app import celery_app
-from danswer.background.celery.celery_app import task_logger
-from danswer.background.celery.celery_redis import RedisConnectorCredentialPair
-from danswer.background.celery.celery_redis import RedisConnectorDeletion
-from danswer.background.celery.celery_redis import RedisConnectorPruning
-from danswer.background.celery.celery_redis import RedisDocumentSet
-from danswer.background.celery.celery_redis import RedisUserGroup
-from danswer.configs.app_configs import JOB_TIMEOUT
-from danswer.configs.constants import CELERY_VESPA_SYNC_BEAT_LOCK_TIMEOUT
-from danswer.configs.constants import DanswerRedisLocks
-from danswer.db.connector import fetch_connector_by_id
-from danswer.db.connector import mark_ccpair_as_pruned
-from danswer.db.connector_credential_pair import add_deletion_failure_message
-from danswer.db.connector_credential_pair import (
-    delete_connector_credential_pair__no_commit,
-)
-from danswer.db.connector_credential_pair import get_connector_credential_pair_from_id
-from danswer.db.connector_credential_pair import get_connector_credential_pairs
-from danswer.db.document import count_documents_by_needs_sync
-from danswer.db.document import get_document
-from danswer.db.document import mark_document_as_synced
-from danswer.db.document_set import delete_document_set
-from danswer.db.document_set import delete_document_set_cc_pair_relationship__no_commit
-from danswer.db.document_set import fetch_document_sets
-from danswer.db.document_set import fetch_document_sets_for_document
-from danswer.db.document_set import get_document_set_by_id
-from danswer.db.document_set import mark_document_set_as_synced
-from danswer.db.engine import get_sqlalchemy_engine
-from danswer.db.index_attempt import delete_index_attempts
-from danswer.db.models import DocumentSet
-from danswer.db.models import UserGroup
-from danswer.document_index.document_index_utils import get_both_index_names
-from danswer.document_index.factory import get_default_document_index
-from danswer.document_index.interfaces import UpdateRequest
-from danswer.redis.redis_pool import get_redis_client
-from danswer.utils.variable_functionality import fetch_versioned_implementation
-from danswer.utils.variable_functionality import (
-    fetch_versioned_implementation_with_fallback,
-)
-from danswer.utils.variable_functionality import noop_fallback
-
-
-# celery auto associates tasks created inside another task,
-# which bloats the result metadata considerably. trail=False prevents this.
-@shared_task(
-    name="check_for_vespa_sync_task",
-    soft_time_limit=JOB_TIMEOUT,
-    trail=False,
-)
-def check_for_vespa_sync_task() -> None:
-    """Runs periodically to check if any document needs syncing.
-    Generates sets of tasks for Celery if syncing is needed."""
-
-    r = get_redis_client()
-
-    lock_beat = r.lock(
-        DanswerRedisLocks.CHECK_VESPA_SYNC_BEAT_LOCK,
-        timeout=CELERY_VESPA_SYNC_BEAT_LOCK_TIMEOUT,
-    )
-
-    try:
-        # these tasks should never overlap
-        if not lock_beat.acquire(blocking=False):
-            return
-
-        with Session(get_sqlalchemy_engine()) as db_session:
-            try_generate_stale_document_sync_tasks(db_session, r, lock_beat)
-
-            # check if any document sets are not synced
-            document_set_info = fetch_document_sets(
-                user_id=None, db_session=db_session, include_outdated=True
-            )
-            for document_set, _ in document_set_info:
-                try_generate_document_set_sync_tasks(
-                    document_set, db_session, r, lock_beat
-                )
-
-            # check if any user groups are not synced
-            try:
-                fetch_user_groups = fetch_versioned_implementation(
-                    "danswer.db.user_group", "fetch_user_groups"
-                )
-
-                user_groups = fetch_user_groups(
-                    db_session=db_session, only_up_to_date=False
-                )
-                for usergroup in user_groups:
-                    try_generate_user_group_sync_tasks(
-                        usergroup, db_session, r, lock_beat
-                    )
-            except ModuleNotFoundError:
-                # Always exceptions on the MIT version, which is expected
-                pass
-    except SoftTimeLimitExceeded:
-        task_logger.info(
-            "Soft time limit exceeded, task is being terminated gracefully."
-        )
-    except Exception:
-        task_logger.exception("Unexpected exception")
-    finally:
-        if lock_beat.owned():
-            lock_beat.release()
-
-
-def try_generate_stale_document_sync_tasks(
-    db_session: Session, r: Redis, lock_beat: redis.lock.Lock
-) -> int | None:
-    # the fence is up, do nothing
-    if r.exists(RedisConnectorCredentialPair.get_fence_key()):
-        return None
-
-    r.delete(RedisConnectorCredentialPair.get_taskset_key())  # delete the taskset
-
-    # add tasks to celery and build up the task set to monitor in redis
-    stale_doc_count = count_documents_by_needs_sync(db_session)
-    if stale_doc_count == 0:
-        return None
-
-    task_logger.info(
-        f"Stale documents found (at least {stale_doc_count}). Generating sync tasks by cc pair."
-    )
-
-    task_logger.info("RedisConnector.generate_tasks starting by cc_pair.")
-
-    # rkuo: we could technically sync all stale docs in one big pass.
-    # but I feel it's more understandable to group the docs by cc_pair
-    total_tasks_generated = 0
-    cc_pairs = get_connector_credential_pairs(db_session)
-    for cc_pair in cc_pairs:
-        rc = RedisConnectorCredentialPair(cc_pair.id)
-        tasks_generated = rc.generate_tasks(celery_app, db_session, r, lock_beat)
-
-        if tasks_generated is None:
-            continue
-
-        if tasks_generated == 0:
-            continue
-
-        task_logger.info(
-            f"RedisConnector.generate_tasks finished for single cc_pair. "
-            f"cc_pair_id={cc_pair.id} tasks_generated={tasks_generated}"
-        )
-
-        total_tasks_generated += tasks_generated
-
-    task_logger.info(
-        f"RedisConnector.generate_tasks finished for all cc_pairs. total_tasks_generated={total_tasks_generated}"
-    )
-
-    r.set(RedisConnectorCredentialPair.get_fence_key(), total_tasks_generated)
-    return total_tasks_generated
-
-
-def try_generate_document_set_sync_tasks(
-    document_set: DocumentSet, db_session: Session, r: Redis, lock_beat: redis.lock.Lock
-) -> int | None:
-    lock_beat.reacquire()
-
-    rds = RedisDocumentSet(document_set.id)
-
-    # don't generate document set sync tasks if tasks are still pending
-    if r.exists(rds.fence_key):
-        return None
-
-    # don't generate sync tasks if we're up to date
-    # race condition with the monitor/cleanup function if we use a cached result!
-    db_session.refresh(document_set)
-    if document_set.is_up_to_date:
-        return None
-
-    # add tasks to celery and build up the task set to monitor in redis
-    r.delete(rds.taskset_key)
-
-    task_logger.info(
-        f"RedisDocumentSet.generate_tasks starting. document_set_id={document_set.id}"
-    )
-
-    # Add all documents that need to be updated into the queue
-    tasks_generated = rds.generate_tasks(celery_app, db_session, r, lock_beat)
-    if tasks_generated is None:
-        return None
-
-    # Currently we are allowing the sync to proceed with 0 tasks.
-    # It's possible for sets/groups to be generated initially with no entries
-    # and they still need to be marked as up to date.
-    # if tasks_generated == 0:
-    #     return 0
-
-    task_logger.info(
-        f"RedisDocumentSet.generate_tasks finished. "
-        f"document_set_id={document_set.id} tasks_generated={tasks_generated}"
-    )
-
-    # set this only after all tasks have been added
-    r.set(rds.fence_key, tasks_generated)
-    return tasks_generated
-
-
-def try_generate_user_group_sync_tasks(
-    usergroup: UserGroup, db_session: Session, r: Redis, lock_beat: redis.lock.Lock
-) -> int | None:
-    lock_beat.reacquire()
-
-    rug = RedisUserGroup(usergroup.id)
-
-    # don't generate sync tasks if tasks are still pending
-    if r.exists(rug.fence_key):
-        return None
-
-    # race condition with the monitor/cleanup function if we use a cached result!
-    db_session.refresh(usergroup)
-    if usergroup.is_up_to_date:
-        return None
-
-    # add tasks to celery and build up the task set to monitor in redis
-    r.delete(rug.taskset_key)
-
-    # Add all documents that need to be updated into the queue
-    task_logger.info(
-        f"RedisUserGroup.generate_tasks starting. usergroup_id={usergroup.id}"
-    )
-    tasks_generated = rug.generate_tasks(celery_app, db_session, r, lock_beat)
-    if tasks_generated is None:
-        return None
-
-    # Currently we are allowing the sync to proceed with 0 tasks.
-    # It's possible for sets/groups to be generated initially with no entries
-    # and they still need to be marked as up to date.
-    # if tasks_generated == 0:
-    #     return 0
-
-    task_logger.info(
-        f"RedisUserGroup.generate_tasks finished. "
-        f"usergroup_id={usergroup.id} tasks_generated={tasks_generated}"
-    )
-
-    # set this only after all tasks have been added
-    r.set(rug.fence_key, tasks_generated)
-    return tasks_generated
-
-
-def monitor_connector_taskset(r: Redis) -> None:
-    fence_value = r.get(RedisConnectorCredentialPair.get_fence_key())
-    if fence_value is None:
-        return
-
-    try:
-        initial_count = int(cast(int, fence_value))
-    except ValueError:
-        task_logger.error("The value is not an integer.")
-        return
-
-    count = r.scard(RedisConnectorCredentialPair.get_taskset_key())
-    task_logger.info(
-        f"Stale document sync progress: remaining={count} initial={initial_count}"
-    )
-    if count == 0:
-        r.delete(RedisConnectorCredentialPair.get_taskset_key())
-        r.delete(RedisConnectorCredentialPair.get_fence_key())
-        task_logger.info(f"Successfully synced stale documents. count={initial_count}")
-
-
-def monitor_document_set_taskset(
-    key_bytes: bytes, r: Redis, db_session: Session
-) -> None:
-    fence_key = key_bytes.decode("utf-8")
-    document_set_id = RedisDocumentSet.get_id_from_fence_key(fence_key)
-    if document_set_id is None:
-        task_logger.warning(f"could not parse document set id from {fence_key}")
-        return
-
-    rds = RedisDocumentSet(document_set_id)
-
-    fence_value = r.get(rds.fence_key)
-    if fence_value is None:
-        return
-
-    try:
-        initial_count = int(cast(int, fence_value))
-    except ValueError:
-        task_logger.error("The value is not an integer.")
-        return
-
-    count = cast(int, r.scard(rds.taskset_key))
-    task_logger.info(
-        f"Document set sync progress: document_set_id={document_set_id} remaining={count} initial={initial_count}"
-    )
-    if count > 0:
-        return
-
-    document_set = cast(
-        DocumentSet,
-        get_document_set_by_id(db_session=db_session, document_set_id=document_set_id),
-    )  # casting since we "know" a document set with this ID exists
-    if document_set:
-        if not document_set.connector_credential_pairs:
-            # if there are no connectors, then delete the document set.
-            delete_document_set(document_set_row=document_set, db_session=db_session)
-            task_logger.info(
-                f"Successfully deleted document set with ID: '{document_set_id}'!"
-            )
-        else:
-            mark_document_set_as_synced(document_set_id, db_session)
-            task_logger.info(
-                f"Successfully synced document set with ID: '{document_set_id}'!"
-            )
-
-    r.delete(rds.taskset_key)
-    r.delete(rds.fence_key)
-
-
-def monitor_connector_deletion_taskset(key_bytes: bytes, r: Redis) -> None:
-    fence_key = key_bytes.decode("utf-8")
-    cc_pair_id = RedisConnectorDeletion.get_id_from_fence_key(fence_key)
-    if cc_pair_id is None:
-        task_logger.warning(f"could not parse cc_pair_id from {fence_key}")
-        return
-
-    rcd = RedisConnectorDeletion(cc_pair_id)
-
-    fence_value = r.get(rcd.fence_key)
-    if fence_value is None:
-        return
-
-    try:
-        initial_count = int(cast(int, fence_value))
-    except ValueError:
-        task_logger.error("The value is not an integer.")
-        return
-
-    count = cast(int, r.scard(rcd.taskset_key))
-    task_logger.info(
-        f"Connector deletion progress: cc_pair_id={cc_pair_id} remaining={count} initial={initial_count}"
-    )
-    if count > 0:
-        return
-
-    with Session(get_sqlalchemy_engine()) as db_session:
-        cc_pair = get_connector_credential_pair_from_id(cc_pair_id, db_session)
-        if not cc_pair:
-            task_logger.warning(
-                f"monitor_connector_deletion_taskset - cc_pair_id not found: cc_pair_id={cc_pair_id}"
-            )
-            return
-
-        try:
-            # clean up the rest of the related Postgres entities
-            # index attempts
-            delete_index_attempts(
-                db_session=db_session,
-                cc_pair_id=cc_pair.id,
-            )
-
-            # document sets
-            delete_document_set_cc_pair_relationship__no_commit(
-                db_session=db_session,
-                connector_id=cc_pair.connector_id,
-                credential_id=cc_pair.credential_id,
-            )
-
-            # user groups
-            cleanup_user_groups = fetch_versioned_implementation_with_fallback(
-                "danswer.db.user_group",
-                "delete_user_group_cc_pair_relationship__no_commit",
-                noop_fallback,
-            )
-            cleanup_user_groups(
-                cc_pair_id=cc_pair.id,
-                db_session=db_session,
-            )
-
-            # finally, delete the cc-pair
-            delete_connector_credential_pair__no_commit(
-                db_session=db_session,
-                connector_id=cc_pair.connector_id,
-                credential_id=cc_pair.credential_id,
-            )
-            # if there are no credentials left, delete the connector
-            connector = fetch_connector_by_id(
-                db_session=db_session,
-                connector_id=cc_pair.connector_id,
-            )
-            if not connector or not len(connector.credentials):
-                task_logger.info(
-                    "Found no credentials left for connector, deleting connector"
-                )
-                db_session.delete(connector)
-            db_session.commit()
-        except Exception as e:
-            stack_trace = traceback.format_exc()
-            error_message = f"Error: {str(e)}\n\nStack Trace:\n{stack_trace}"
-            add_deletion_failure_message(db_session, cc_pair.id, error_message)
-            task_logger.exception(
-                f"Failed to run connector_deletion. "
-                f"cc_pair_id={cc_pair_id} connector_id={cc_pair.connector_id} credential_id={cc_pair.credential_id}"
-            )
-            raise e
-
-    task_logger.info(
-        f"Successfully deleted cc_pair: "
-        f"cc_pair_id={cc_pair_id} "
-        f"connector_id={cc_pair.connector_id} "
-        f"credential_id={cc_pair.credential_id} "
-        f"docs_deleted={initial_count}"
-    )
-
-    r.delete(rcd.taskset_key)
-    r.delete(rcd.fence_key)
-
-
-def monitor_ccpair_pruning_taskset(
-    key_bytes: bytes, r: Redis, db_session: Session
-) -> None:
-    fence_key = key_bytes.decode("utf-8")
-    cc_pair_id = RedisConnectorPruning.get_id_from_fence_key(fence_key)
-    if cc_pair_id is None:
-        task_logger.warning(
-            f"monitor_connector_pruning_taskset: could not parse cc_pair_id from {fence_key}"
-        )
-        return
-
-    rcp = RedisConnectorPruning(cc_pair_id)
-
-    fence_value = r.get(rcp.fence_key)
-    if fence_value is None:
-        return
-
-    generator_value = r.get(rcp.generator_complete_key)
-    if generator_value is None:
-        return
-
-    try:
-        initial_count = int(cast(int, generator_value))
-    except ValueError:
-        task_logger.error("The value is not an integer.")
-        return
-
-    count = cast(int, r.scard(rcp.taskset_key))
-    task_logger.info(
-        f"Connector pruning progress: cc_pair_id={cc_pair_id} remaining={count} initial={initial_count}"
-    )
-    if count > 0:
-        return
-
-    mark_ccpair_as_pruned(cc_pair_id, db_session)
-    task_logger.info(
-        f"Successfully pruned connector credential pair. cc_pair_id={cc_pair_id}"
-    )
-
-    r.delete(rcp.taskset_key)
-    r.delete(rcp.generator_progress_key)
-    r.delete(rcp.generator_complete_key)
-    r.delete(rcp.fence_key)
-
-
-@shared_task(name="monitor_vespa_sync", soft_time_limit=300)
-def monitor_vespa_sync() -> None:
-    """This is a celery beat task that monitors and finalizes metadata sync tasksets.
-    It scans for fence values and then gets the counts of any associated tasksets.
-    If the count is 0, that means all tasks finished and we should clean up.
-
-    This task lock timeout is CELERY_METADATA_SYNC_BEAT_LOCK_TIMEOUT seconds, so don't
-    do anything too expensive in this function!
-    """
-    r = get_redis_client()
-
-    lock_beat = r.lock(
-        DanswerRedisLocks.MONITOR_VESPA_SYNC_BEAT_LOCK,
-        timeout=CELERY_VESPA_SYNC_BEAT_LOCK_TIMEOUT,
-    )
-
-    try:
-        # prevent overlapping tasks
-        if not lock_beat.acquire(blocking=False):
-            return
-
-        if r.exists(RedisConnectorCredentialPair.get_fence_key()):
-            monitor_connector_taskset(r)
-
-        for key_bytes in r.scan_iter(RedisConnectorDeletion.FENCE_PREFIX + "*"):
-            monitor_connector_deletion_taskset(key_bytes, r)
-
-        with Session(get_sqlalchemy_engine()) as db_session:
-            for key_bytes in r.scan_iter(RedisDocumentSet.FENCE_PREFIX + "*"):
-                monitor_document_set_taskset(key_bytes, r, db_session)
-
-            for key_bytes in r.scan_iter(RedisUserGroup.FENCE_PREFIX + "*"):
-                monitor_usergroup_taskset = (
-                    fetch_versioned_implementation_with_fallback(
-                        "danswer.background.celery.tasks.vespa.tasks",
-                        "monitor_usergroup_taskset",
-                        noop_fallback,
-                    )
-                )
-                monitor_usergroup_taskset(key_bytes, r, db_session)
-
-            for key_bytes in r.scan_iter(RedisConnectorPruning.FENCE_PREFIX + "*"):
-                monitor_ccpair_pruning_taskset(key_bytes, r, db_session)
-
-        # uncomment for debugging if needed
-        # r_celery = celery_app.broker_connection().channel().client
-        # length = celery_get_queue_length(DanswerCeleryQueues.VESPA_METADATA_SYNC, r_celery)
-        # task_logger.warning(f"queue={DanswerCeleryQueues.VESPA_METADATA_SYNC} length={length}")
-    except SoftTimeLimitExceeded:
-        task_logger.info(
-            "Soft time limit exceeded, task is being terminated gracefully."
-        )
-    finally:
-        if lock_beat.owned():
-            lock_beat.release()
-
-
-@shared_task(
-    name="vespa_metadata_sync_task",
-    bind=True,
-    soft_time_limit=45,
-    time_limit=60,
-    max_retries=3,
-)
-def vespa_metadata_sync_task(self: Task, document_id: str) -> bool:
-    task_logger.info(f"document_id={document_id}")
-
-    try:
-        with Session(get_sqlalchemy_engine()) as db_session:
-            curr_ind_name, sec_ind_name = get_both_index_names(db_session)
-            document_index = get_default_document_index(
-                primary_index_name=curr_ind_name, secondary_index_name=sec_ind_name
-            )
-
-            doc = get_document(document_id, db_session)
-            if not doc:
-                return False
-
-            # document set sync
-            doc_sets = fetch_document_sets_for_document(document_id, db_session)
-            update_doc_sets: set[str] = set(doc_sets)
-
-            # User group sync
-            doc_access = get_access_for_document(
-                document_id=document_id, db_session=db_session
-            )
-            update_request = UpdateRequest(
-                document_ids=[document_id],
-                document_sets=update_doc_sets,
-                access=doc_access,
-                boost=doc.boost,
-                hidden=doc.hidden,
-            )
-
-            # update Vespa
-            document_index.update(update_requests=[update_request])
-
-            # update db last. Worst case = we crash right before this and
-            # the sync might repeat again later
-            mark_document_as_synced(document_id, db_session)
-    except SoftTimeLimitExceeded:
-        task_logger.info(f"SoftTimeLimitExceeded exception. doc_id={document_id}")
-    except Exception as e:
-        task_logger.exception("Unexpected exception")
-
-        # Exponential backoff from 2^4 to 2^6 ... i.e. 16, 32, 64
-        countdown = 2 ** (self.request.retries + 4)
-        self.retry(exc=e, countdown=countdown)
-
-    return True

backend/danswer/background/connector_deletion.py

@@ -0,0 +1,210 @@
+"""
+To delete a connector / credential pair:
+(1) find all documents associated with connector / credential pair where there
+this the is only connector / credential pair that has indexed it
+(2) delete all documents from document stores
+(3) delete all entries from postgres
+(4) find all documents associated with connector / credential pair where there
+are multiple connector / credential pairs that have indexed it
+(5) update document store entries to remove access associated with the
+connector / credential pair from the access list
+(6) delete all relevant entries from postgres
+"""
+import time
+
+from sqlalchemy.orm import Session
+
+from danswer.access.access import get_access_for_documents
+from danswer.db.connector import fetch_connector_by_id
+from danswer.db.connector_credential_pair import (
+    delete_connector_credential_pair__no_commit,
+)
+from danswer.db.document import delete_document_by_connector_credential_pair__no_commit
+from danswer.db.document import delete_documents_complete__no_commit
+from danswer.db.document import get_document_connector_cnts
+from danswer.db.document import get_documents_for_connector_credential_pair
+from danswer.db.document import prepare_to_modify_documents
+from danswer.db.document_set import get_document_sets_by_ids
+from danswer.db.document_set import (
+    mark_cc_pair__document_set_relationships_to_be_deleted__no_commit,
+)
+from danswer.db.engine import get_sqlalchemy_engine
+from danswer.db.index_attempt import delete_index_attempts
+from danswer.db.models import ConnectorCredentialPair
+from danswer.document_index.interfaces import DocumentIndex
+from danswer.document_index.interfaces import UpdateRequest
+from danswer.server.documents.models import ConnectorCredentialPairIdentifier
+from danswer.utils.logger import setup_logger
+
+logger = setup_logger()
+
+_DELETION_BATCH_SIZE = 1000
+
+
+def delete_connector_credential_pair_batch(
+    document_ids: list[str],
+    connector_id: int,
+    credential_id: int,
+    document_index: DocumentIndex,
+) -> None:
+    """
+    Removes a batch of documents ids from a cc-pair. If no other cc-pair uses a document anymore
+    it gets permanently deleted.
+    """
+    with Session(get_sqlalchemy_engine()) as db_session:
+        # acquire lock for all documents in this batch so that indexing can't
+        # override the deletion
+        with prepare_to_modify_documents(
+            db_session=db_session, document_ids=document_ids
+        ):
+            document_connector_cnts = get_document_connector_cnts(
+                db_session=db_session, document_ids=document_ids
+            )
+
+            # figure out which docs need to be completely deleted
+            document_ids_to_delete = [
+                document_id for document_id, cnt in document_connector_cnts if cnt == 1
+            ]
+            logger.debug(f"Deleting documents: {document_ids_to_delete}")
+
+            document_index.delete(doc_ids=document_ids_to_delete)
+
+            delete_documents_complete__no_commit(
+                db_session=db_session,
+                document_ids=document_ids_to_delete,
+            )
+
+            # figure out which docs need to be updated
+            document_ids_to_update = [
+                document_id for document_id, cnt in document_connector_cnts if cnt > 1
+            ]
+            access_for_documents = get_access_for_documents(
+                document_ids=document_ids_to_update,
+                db_session=db_session,
+                cc_pair_to_delete=ConnectorCredentialPairIdentifier(
+                    connector_id=connector_id,
+                    credential_id=credential_id,
+                ),
+            )
+            update_requests = [
+                UpdateRequest(
+                    document_ids=[document_id],
+                    access=access,
+                )
+                for document_id, access in access_for_documents.items()
+            ]
+            logger.debug(f"Updating documents: {document_ids_to_update}")
+
+            document_index.update(update_requests=update_requests)
+
+            delete_document_by_connector_credential_pair__no_commit(
+                db_session=db_session,
+                document_ids=document_ids_to_update,
+                connector_credential_pair_identifier=ConnectorCredentialPairIdentifier(
+                    connector_id=connector_id,
+                    credential_id=credential_id,
+                ),
+            )
+            db_session.commit()
+
+
+def cleanup_synced_entities(
+    cc_pair: ConnectorCredentialPair, db_session: Session
+) -> None:
+    """Updates the document sets associated with the connector / credential pair,
+    then relies on the document set sync script to kick off Celery jobs which will
+    sync these updates to Vespa.
+
+    Waits until the document sets are synced before returning."""
+    logger.info(f"Cleaning up Document Sets for CC Pair with ID: '{cc_pair.id}'")
+    document_sets_ids_to_sync = list(
+        mark_cc_pair__document_set_relationships_to_be_deleted__no_commit(
+            cc_pair_id=cc_pair.id,
+            db_session=db_session,
+        )
+    )
+    db_session.commit()
+
+    # wait till all document sets are synced before continuing
+    while True:
+        all_synced = True
+        document_sets = get_document_sets_by_ids(
+            db_session=db_session, document_set_ids=document_sets_ids_to_sync
+        )
+        for document_set in document_sets:
+            if not document_set.is_up_to_date:
+                all_synced = False
+
+        if all_synced:
+            break
+
+        # wait for 30 seconds before checking again
+        db_session.commit()  # end transaction
+        logger.info(
+            f"Document sets '{document_sets_ids_to_sync}' not synced yet, waiting 30s"
+        )
+        time.sleep(30)
+
+    logger.info(
+        f"Finished cleaning up Document Sets for CC Pair with ID: '{cc_pair.id}'"
+    )
+
+
+def delete_connector_credential_pair(
+    db_session: Session,
+    document_index: DocumentIndex,
+    cc_pair: ConnectorCredentialPair,
+) -> int:
+    connector_id = cc_pair.connector_id
+    credential_id = cc_pair.credential_id
+
+    num_docs_deleted = 0
+    while True:
+        documents = get_documents_for_connector_credential_pair(
+            db_session=db_session,
+            connector_id=connector_id,
+            credential_id=credential_id,
+            limit=_DELETION_BATCH_SIZE,
+        )
+        if not documents:
+            break
+
+        delete_connector_credential_pair_batch(
+            document_ids=[document.id for document in documents],
+            connector_id=connector_id,
+            credential_id=credential_id,
+            document_index=document_index,
+        )
+        num_docs_deleted += len(documents)
+
+    # Clean up document sets / access information from Postgres
+    # and sync these updates to Vespa
+    # TODO: add user group cleanup with `fetch_versioned_implementation`
+    cleanup_synced_entities(cc_pair, db_session)
+
+    # clean up the rest of the related Postgres entities
+    delete_index_attempts(
+        db_session=db_session,
+        connector_id=connector_id,
+        credential_id=credential_id,
+    )
+    delete_connector_credential_pair__no_commit(
+        db_session=db_session,
+        connector_id=connector_id,
+        credential_id=credential_id,
+    )
+    # if there are no credentials left, delete the connector
+    connector = fetch_connector_by_id(
+        db_session=db_session,
+        connector_id=connector_id,
+    )
+    if not connector or not len(connector.credentials):
+        logger.debug("Found no credentials left for connector, deleting connector")
+        db_session.delete(connector)
+    db_session.commit()
+
+    logger.info(
+        "Successfully deleted connector_credential_pair with connector_id:"
+        f" '{connector_id}' and credential_id: '{credential_id}'. Deleted {num_docs_deleted} docs."
+    )
+    return num_docs_deleted

backend/danswer/background/indexing/job_client.py

@@ -41,12 +41,6 @@ def _initializer(
     return func(*args, **kwargs)
 
 
-def _run_in_process(
-    func: Callable, args: list | tuple, kwargs: dict[str, Any] | None = None
-) -> None:
-    _initializer(func, args, kwargs)
-
-
 @dataclass
 class SimpleJob:
     """Drop in replacement for `dask.distributed.Future`"""
@@ -119,7 +113,7 @@ class SimpleJobClient:
         job_id = self.job_id_counter
         self.job_id_counter += 1
 
-        process = Process(target=_run_in_process, args=(func, args), daemon=True)
+        process = Process(target=_initializer(func=func, args=args), daemon=True)
         job = SimpleJob(id=job_id, process=process)
         process.start()
 

backend/danswer/background/indexing/run_indexing.py

@@ -7,22 +7,20 @@ from datetime import timezone
 from sqlalchemy.orm import Session
 
 from danswer.background.indexing.checkpointing import get_time_windows_for_index_attempt
-from danswer.background.indexing.tracer import DanswerTracer
-from danswer.configs.app_configs import INDEXING_SIZE_WARNING_THRESHOLD
-from danswer.configs.app_configs import INDEXING_TRACER_INTERVAL
 from danswer.configs.app_configs import POLL_CONNECTOR_OFFSET
-from danswer.connectors.connector_runner import ConnectorRunner
 from danswer.connectors.factory import instantiate_connector
+from danswer.connectors.interfaces import GenerateDocumentsOutput
+from danswer.connectors.interfaces import LoadConnector
+from danswer.connectors.interfaces import PollConnector
 from danswer.connectors.models import IndexAttemptMetadata
-from danswer.db.connector_credential_pair import get_connector_credential_pair_from_id
+from danswer.connectors.models import InputType
+from danswer.db.connector import disable_connector
 from danswer.db.connector_credential_pair import get_last_successful_attempt_time
 from danswer.db.connector_credential_pair import update_connector_credential_pair
 from danswer.db.engine import get_sqlalchemy_engine
-from danswer.db.enums import ConnectorCredentialPairStatus
 from danswer.db.index_attempt import get_index_attempt
 from danswer.db.index_attempt import mark_attempt_failed
-from danswer.db.index_attempt import mark_attempt_in_progress
-from danswer.db.index_attempt import mark_attempt_partially_succeeded
+from danswer.db.index_attempt import mark_attempt_in_progress__no_commit
 from danswer.db.index_attempt import mark_attempt_succeeded
 from danswer.db.index_attempt import update_docs_indexed
 from danswer.db.models import IndexAttempt
@@ -30,7 +28,6 @@ from danswer.db.models import IndexingStatus
 from danswer.db.models import IndexModelStatus
 from danswer.document_index.factory import get_default_document_index
 from danswer.indexing.embedder import DefaultIndexingEmbedder
-from danswer.indexing.indexing_heartbeat import IndexingHeartbeat
 from danswer.indexing.indexing_pipeline import build_indexing_pipeline
 from danswer.utils.logger import IndexAttemptSingleton
 from danswer.utils.logger import setup_logger
@@ -38,52 +35,57 @@ from danswer.utils.variable_functionality import global_version
 
 logger = setup_logger()
 
-INDEXING_TRACER_NUM_PRINT_ENTRIES = 5
 
-
-def _get_connector_runner(
+def _get_document_generator(
     db_session: Session,
     attempt: IndexAttempt,
     start_time: datetime,
     end_time: datetime,
-) -> ConnectorRunner:
+) -> GenerateDocumentsOutput:
     """
     NOTE: `start_time` and `end_time` are only used for poll connectors
 
-    Returns an iterator of document batches and whether the returned documents
+    Returns an interator of document batches and whether the returned documents
     are the complete list of existing documents of the connector. If the task
     of type LOAD_STATE, the list will be considered complete and otherwise incomplete.
     """
-    task = attempt.connector_credential_pair.connector.input_type
+    task = attempt.connector.input_type
 
     try:
         runnable_connector = instantiate_connector(
-            db_session=db_session,
-            source=attempt.connector_credential_pair.connector.source,
-            input_type=task,
-            connector_specific_config=attempt.connector_credential_pair.connector.connector_specific_config,
-            credential=attempt.connector_credential_pair.credential,
+            attempt.connector.source,
+            task,
+            attempt.connector.connector_specific_config,
+            attempt.credential,
+            db_session,
         )
     except Exception as e:
         logger.exception(f"Unable to instantiate connector due to {e}")
-        # since we failed to even instantiate the connector, we pause the CCPair since
-        # it will never succeed
-
-        cc_pair = get_connector_credential_pair_from_id(
-            attempt.connector_credential_pair.id, db_session
-        )
-        if cc_pair and cc_pair.status == ConnectorCredentialPairStatus.ACTIVE:
-            update_connector_credential_pair(
-                db_session=db_session,
-                connector_id=attempt.connector_credential_pair.connector.id,
-                credential_id=attempt.connector_credential_pair.credential.id,
-                status=ConnectorCredentialPairStatus.PAUSED,
-            )
+        disable_connector(attempt.connector.id, db_session)
         raise e
 
-    return ConnectorRunner(
-        connector=runnable_connector, time_range=(start_time, end_time)
-    )
+    if task == InputType.LOAD_STATE:
+        assert isinstance(runnable_connector, LoadConnector)
+        doc_batch_generator = runnable_connector.load_from_state()
+
+    elif task == InputType.POLL:
+        assert isinstance(runnable_connector, PollConnector)
+        if attempt.connector_id is None or attempt.credential_id is None:
+            raise ValueError(
+                f"Polling attempt {attempt.id} is missing connector_id or credential_id, "
+                f"can't fetch time range."
+            )
+
+        logger.info(f"Polling for updates between {start_time} and {end_time}")
+        doc_batch_generator = runnable_connector.poll_source(
+            start=start_time.timestamp(), end=end_time.timestamp()
+        )
+
+    else:
+        # Event types cannot be handled by a background type
+        raise RuntimeError(f"Invalid task type: {task}")
+
+    return doc_batch_generator
 
 
 def _run_indexing(
@@ -96,72 +98,48 @@ def _run_indexing(
     3. Updates Postgres to record the indexed documents + the outcome of this run
     """
     start_time = time.time()
-
-    search_settings = index_attempt.search_settings
-    index_name = search_settings.index_name
+    db_embedding_model = index_attempt.embedding_model
+    index_name = db_embedding_model.index_name
 
     # Only update cc-pair status for primary index jobs
     # Secondary index syncs at the end when swapping
-    is_primary = search_settings.status == IndexModelStatus.PRESENT
+    is_primary = index_attempt.embedding_model.status == IndexModelStatus.PRESENT
 
     # Indexing is only done into one index at a time
     document_index = get_default_document_index(
         primary_index_name=index_name, secondary_index_name=None
     )
 
-    embedding_model = DefaultIndexingEmbedder.from_db_search_settings(
-        search_settings=search_settings,
-        heartbeat=IndexingHeartbeat(
-            index_attempt_id=index_attempt.id,
-            db_session=db_session,
-            # let the world know we're still making progress after
-            # every 10 batches
-            freq=10,
-        ),
+    embedding_model = DefaultIndexingEmbedder(
+        model_name=db_embedding_model.model_name,
+        normalize=db_embedding_model.normalize,
+        query_prefix=db_embedding_model.query_prefix,
+        passage_prefix=db_embedding_model.passage_prefix,
+        api_key=db_embedding_model.api_key,
+        provider_type=db_embedding_model.provider_type,
     )
 
     indexing_pipeline = build_indexing_pipeline(
-        attempt_id=index_attempt.id,
         embedder=embedding_model,
         document_index=document_index,
-        ignore_time_skip=(
-            index_attempt.from_beginning
-            or (search_settings.status == IndexModelStatus.FUTURE)
-        ),
+        ignore_time_skip=index_attempt.from_beginning
+        or (db_embedding_model.status == IndexModelStatus.FUTURE),
         db_session=db_session,
     )
 
-    db_cc_pair = index_attempt.connector_credential_pair
-    db_connector = index_attempt.connector_credential_pair.connector
-    db_credential = index_attempt.connector_credential_pair.credential
-    earliest_index_time = (
-        db_connector.indexing_start.timestamp() if db_connector.indexing_start else 0
-    )
-
+    db_connector = index_attempt.connector
+    db_credential = index_attempt.credential
     last_successful_index_time = (
-        earliest_index_time
+        0.0
         if index_attempt.from_beginning
         else get_last_successful_attempt_time(
             connector_id=db_connector.id,
             credential_id=db_credential.id,
-            earliest_index=earliest_index_time,
-            search_settings=index_attempt.search_settings,
+            embedding_model=index_attempt.embedding_model,
             db_session=db_session,
         )
     )
 
-    if INDEXING_TRACER_INTERVAL > 0:
-        logger.debug(f"Memory tracer starting: interval={INDEXING_TRACER_INTERVAL}")
-        tracer = DanswerTracer()
-        tracer.start()
-        tracer.snap()
-
-    index_attempt_md = IndexAttemptMetadata(
-        connector_id=db_connector.id,
-        credential_id=db_credential.id,
-    )
-
-    batch_num = 0
     net_doc_change = 0
     document_count = 0
     chunk_count = 0
@@ -180,7 +158,7 @@ def _run_indexing(
                 datetime(1970, 1, 1, tzinfo=timezone.utc),
             )
 
-            connector_runner = _get_connector_runner(
+            doc_batch_generator = _get_document_generator(
                 db_session=db_session,
                 attempt=index_attempt,
                 start_time=window_start,
@@ -188,23 +166,15 @@ def _run_indexing(
             )
 
             all_connector_doc_ids: set[str] = set()
-
-            tracer_counter = 0
-            if INDEXING_TRACER_INTERVAL > 0:
-                tracer.snap()
-            for doc_batch in connector_runner.run():
+            for doc_batch in doc_batch_generator:
                 # Check if connector is disabled mid run and stop if so unless it's the secondary
                 # index being built. We want to populate it even for paused connectors
                 # Often paused connectors are sources that aren't updated frequently but the
                 # contents still need to be initially pulled.
                 db_session.refresh(db_connector)
                 if (
-                    (
-                        db_cc_pair.status == ConnectorCredentialPairStatus.PAUSED
-                        and search_settings.status != IndexModelStatus.FUTURE
-                    )
-                    # if it's deleting, we don't care if this is a secondary index
-                    or db_cc_pair.status == ConnectorCredentialPairStatus.DELETING
+                    db_connector.disabled
+                    and db_embedding_model.status != IndexModelStatus.FUTURE
                 ):
                     # let the `except` block handle this
                     raise RuntimeError("Connector was disabled mid run")
@@ -214,30 +184,17 @@ def _run_indexing(
                     # Likely due to user manually disabling it or model swap
                     raise RuntimeError("Index Attempt was canceled")
 
-                batch_description = []
-                for doc in doc_batch:
-                    batch_description.append(doc.to_short_descriptor())
-
-                    doc_size = 0
-                    for section in doc.sections:
-                        doc_size += len(section.text)
-
-                    if doc_size > INDEXING_SIZE_WARNING_THRESHOLD:
-                        logger.warning(
-                            f"Document size: doc='{doc.to_short_descriptor()}' "
-                            f"size={doc_size} "
-                            f"threshold={INDEXING_SIZE_WARNING_THRESHOLD}"
-                        )
-
-                logger.debug(f"Indexing batch of documents: {batch_description}")
-
-                index_attempt_md.batch_num = batch_num + 1  # use 1-index for this
-                new_docs, total_batch_chunks = indexing_pipeline(
-                    document_batch=doc_batch,
-                    index_attempt_metadata=index_attempt_md,
+                logger.debug(
+                    f"Indexing batch of documents: {[doc.to_short_descriptor() for doc in doc_batch]}"
                 )
 
-                batch_num += 1
+                new_docs, total_batch_chunks = indexing_pipeline(
+                    documents=doc_batch,
+                    index_attempt_metadata=IndexAttemptMetadata(
+                        connector_id=db_connector.id,
+                        credential_id=db_credential.id,
+                    ),
+                )
                 net_doc_change += new_docs
                 chunk_count += total_batch_chunks
                 document_count += len(doc_batch)
@@ -259,17 +216,6 @@ def _run_indexing(
                     docs_removed_from_index=0,
                 )
 
-                tracer_counter += 1
-                if (
-                    INDEXING_TRACER_INTERVAL > 0
-                    and tracer_counter % INDEXING_TRACER_INTERVAL == 0
-                ):
-                    logger.debug(
-                        f"Running trace comparison for batch {tracer_counter}. interval={INDEXING_TRACER_INTERVAL}"
-                    )
-                    tracer.snap()
-                    tracer.log_previous_diff(INDEXING_TRACER_NUM_PRINT_ENTRIES)
-
             run_end_dt = window_end
             if is_primary:
                 update_connector_credential_pair(
@@ -280,7 +226,7 @@ def _run_indexing(
                     run_dt=run_end_dt,
                 )
         except Exception as e:
-            logger.exception(
+            logger.info(
                 f"Connector run ran into exception after elapsed time: {time.time() - start_time} seconds"
             )
             # Only mark the attempt as a complete failure if this is the first indexing window.
@@ -292,7 +238,7 @@ def _run_indexing(
             # to give better clarity in the UI, as the next run will never happen.
             if (
                 ind == 0
-                or not db_cc_pair.status.is_active()
+                or db_connector.disabled
                 or index_attempt.status != IndexingStatus.IN_PROGRESS
             ):
                 mark_attempt_failed(
@@ -304,66 +250,17 @@ def _run_indexing(
                 if is_primary:
                     update_connector_credential_pair(
                         db_session=db_session,
-                        connector_id=db_connector.id,
-                        credential_id=db_credential.id,
+                        connector_id=index_attempt.connector.id,
+                        credential_id=index_attempt.credential.id,
                         net_docs=net_doc_change,
                     )
-
-                if INDEXING_TRACER_INTERVAL > 0:
-                    tracer.stop()
                 raise e
 
             # break => similar to success case. As mentioned above, if the next run fails for the same
             # reason it will then be marked as a failure
             break
 
-    if INDEXING_TRACER_INTERVAL > 0:
-        logger.debug(
-            f"Running trace comparison between start and end of indexing. {tracer_counter} batches processed."
-        )
-        tracer.snap()
-        tracer.log_first_diff(INDEXING_TRACER_NUM_PRINT_ENTRIES)
-        tracer.stop()
-        logger.debug("Memory tracer stopped.")
-
-    if (
-        index_attempt_md.num_exceptions > 0
-        and index_attempt_md.num_exceptions >= batch_num
-    ):
-        mark_attempt_failed(
-            index_attempt,
-            db_session,
-            failure_reason="All batches exceptioned.",
-        )
-        if is_primary:
-            update_connector_credential_pair(
-                db_session=db_session,
-                connector_id=index_attempt.connector_credential_pair.connector.id,
-                credential_id=index_attempt.connector_credential_pair.credential.id,
-            )
-        raise Exception(
-            f"Connector failed - All batches exceptioned: batches={batch_num}"
-        )
-
-    elapsed_time = time.time() - start_time
-
-    if index_attempt_md.num_exceptions == 0:
-        mark_attempt_succeeded(index_attempt, db_session)
-        logger.info(
-            f"Connector succeeded: "
-            f"docs={document_count} chunks={chunk_count} elapsed={elapsed_time:.2f}s"
-        )
-    else:
-        mark_attempt_partially_succeeded(index_attempt, db_session)
-        logger.info(
-            f"Connector completed with some errors: "
-            f"exceptions={index_attempt_md.num_exceptions} "
-            f"batches={batch_num} "
-            f"docs={document_count} "
-            f"chunks={chunk_count} "
-            f"elapsed={elapsed_time:.2f}s"
-        )
-
+    mark_attempt_succeeded(index_attempt, db_session)
     if is_primary:
         update_connector_credential_pair(
             db_session=db_session,
@@ -372,6 +269,13 @@ def _run_indexing(
             run_dt=run_end_dt,
         )
 
+    logger.info(
+        f"Indexed or refreshed {document_count} total documents for a total of {chunk_count} indexed chunks"
+    )
+    logger.info(
+        f"Connector successfully finished, elapsed time: {time.time() - start_time} seconds"
+    )
+
 
 def _prepare_index_attempt(db_session: Session, index_attempt_id: int) -> IndexAttempt:
     # make sure that the index attempt can't change in between checking the
@@ -395,27 +299,24 @@ def _prepare_index_attempt(db_session: Session, index_attempt_id: int) -> IndexA
         )
 
     # only commit once, to make sure this all happens in a single transaction
-    mark_attempt_in_progress(attempt, db_session)
+    mark_attempt_in_progress__no_commit(attempt)
+    if attempt.embedding_model.status != IndexModelStatus.PRESENT:
+        db_session.commit()
 
     return attempt
 
 
-def run_indexing_entrypoint(
-    index_attempt_id: int, connector_credential_pair_id: int, is_ee: bool = False
-) -> None:
+def run_indexing_entrypoint(index_attempt_id: int, is_ee: bool = False) -> None:
     """Entrypoint for indexing run when using dask distributed.
     Wraps the actual logic in a `try` block so that we can catch any exceptions
     and mark the attempt as failed."""
-
     try:
         if is_ee:
             global_version.set_ee()
 
         # set the indexing attempt ID so that all log messages from this process
         # will have it added as a prefix
-        IndexAttemptSingleton.set_cc_and_index_id(
-            index_attempt_id, connector_credential_pair_id
-        )
+        IndexAttemptSingleton.set_index_attempt_id(index_attempt_id)
 
         with Session(get_sqlalchemy_engine()) as db_session:
             # make sure that it is valid to run this indexing attempt + mark it
@@ -423,19 +324,17 @@ def run_indexing_entrypoint(
             attempt = _prepare_index_attempt(db_session, index_attempt_id)
 
             logger.info(
-                f"Indexing starting: "
-                f"connector='{attempt.connector_credential_pair.connector.name}' "
-                f"config='{attempt.connector_credential_pair.connector.connector_specific_config}' "
-                f"credentials='{attempt.connector_credential_pair.connector_id}'"
+                f"Running indexing attempt for connector: '{attempt.connector.name}', "
+                f"with config: '{attempt.connector.connector_specific_config}', and "
+                f"with credentials: '{attempt.credential_id}'"
             )
 
             _run_indexing(db_session, attempt)
 
             logger.info(
-                f"Indexing finished: "
-                f"connector='{attempt.connector_credential_pair.connector.name}' "
-                f"config='{attempt.connector_credential_pair.connector.connector_specific_config}' "
-                f"credentials='{attempt.connector_credential_pair.connector_id}'"
+                f"Completed indexing attempt for connector: '{attempt.connector.name}', "
+                f"with config: '{attempt.connector.connector_specific_config}', and "
+                f"with credentials: '{attempt.credential_id}'"
             )
     except Exception as e:
         logger.exception(f"Indexing job with ID '{index_attempt_id}' failed due to {e}")

backend/danswer/background/indexing/tracer.py

@@ -1,77 +0,0 @@
-import tracemalloc
-
-from danswer.utils.logger import setup_logger
-
-logger = setup_logger()
-
-DANSWER_TRACEMALLOC_FRAMES = 10
-
-
-class DanswerTracer:
-    def __init__(self) -> None:
-        self.snapshot_first: tracemalloc.Snapshot | None = None
-        self.snapshot_prev: tracemalloc.Snapshot | None = None
-        self.snapshot: tracemalloc.Snapshot | None = None
-
-    def start(self) -> None:
-        tracemalloc.start(DANSWER_TRACEMALLOC_FRAMES)
-
-    def stop(self) -> None:
-        tracemalloc.stop()
-
-    def snap(self) -> None:
-        snapshot = tracemalloc.take_snapshot()
-        # Filter out irrelevant frames (e.g., from tracemalloc itself or importlib)
-        snapshot = snapshot.filter_traces(
-            (
-                tracemalloc.Filter(False, tracemalloc.__file__),  # Exclude tracemalloc
-                tracemalloc.Filter(
-                    False, "<frozen importlib._bootstrap>"
-                ),  # Exclude importlib
-                tracemalloc.Filter(
-                    False, "<frozen importlib._bootstrap_external>"
-                ),  # Exclude external importlib
-            )
-        )
-
-        if not self.snapshot_first:
-            self.snapshot_first = snapshot
-
-        if self.snapshot:
-            self.snapshot_prev = self.snapshot
-
-        self.snapshot = snapshot
-
-    def log_snapshot(self, numEntries: int) -> None:
-        if not self.snapshot:
-            return
-
-        stats = self.snapshot.statistics("traceback")
-        for s in stats[:numEntries]:
-            logger.debug(f"Tracer snap: {s}")
-            for line in s.traceback:
-                logger.debug(f"* {line}")
-
-    @staticmethod
-    def log_diff(
-        snap_current: tracemalloc.Snapshot,
-        snap_previous: tracemalloc.Snapshot,
-        numEntries: int,
-    ) -> None:
-        stats = snap_current.compare_to(snap_previous, "traceback")
-        for s in stats[:numEntries]:
-            logger.debug(f"Tracer diff: {s}")
-            for line in s.traceback.format():
-                logger.debug(f"* {line}")
-
-    def log_previous_diff(self, numEntries: int) -> None:
-        if not self.snapshot or not self.snapshot_prev:
-            return
-
-        DanswerTracer.log_diff(self.snapshot, self.snapshot_prev, numEntries)
-
-    def log_first_diff(self, numEntries: int) -> None:
-        if not self.snapshot or not self.snapshot_first:
-            return
-
-        DanswerTracer.log_diff(self.snapshot, self.snapshot_first, numEntries)

backend/danswer/background/task_utils.py

@@ -14,6 +14,14 @@ from danswer.db.tasks import mark_task_start
 from danswer.db.tasks import register_task
 
 
+def name_cc_cleanup_task(connector_id: int, credential_id: int) -> str:
+    return f"cleanup_connector_credential_pair_{connector_id}_{credential_id}"
+
+
+def name_document_set_sync_task(document_set_id: int) -> str:
+    return f"sync_doc_set_{document_set_id}"
+
+
 def name_cc_prune_task(
     connector_id: int | None = None, credential_id: int | None = None
 ) -> str:
@@ -85,16 +93,9 @@ def build_apply_async_wrapper(build_name_fn: Callable[..., str]) -> Callable[[AA
             kwargs_for_build_name = kwargs or {}
             task_name = build_name_fn(*args_for_build_name, **kwargs_for_build_name)
             with Session(get_sqlalchemy_engine()) as db_session:
-                # register_task must come before fn = apply_async or else the task
-                # might run mark_task_start (and crash) before the task row exists
-                db_task = register_task(task_name, db_session)
-
+                # mark the task as started
                 task = fn(args, kwargs, *other_args, **other_kwargs)
-
-                # we update the celery task id for diagnostic purposes
-                # but it isn't currently used by any code
-                db_task.task_id = task.id
-                db_session.commit()
+                register_task(task.id, task_name, db_session)
 
             return task
 

backend/danswer/background/update.py

@@ -16,30 +16,24 @@ from danswer.configs.app_configs import CLEANUP_INDEXING_JOBS_TIMEOUT
 from danswer.configs.app_configs import DASK_JOB_CLIENT_ENABLED
 from danswer.configs.app_configs import DISABLE_INDEX_UPDATE_ON_SWAP
 from danswer.configs.app_configs import NUM_INDEXING_WORKERS
-from danswer.configs.app_configs import NUM_SECONDARY_INDEXING_WORKERS
-from danswer.configs.constants import DocumentSource
-from danswer.configs.constants import POSTGRES_INDEXER_APP_NAME
 from danswer.db.connector import fetch_connectors
-from danswer.db.connector_credential_pair import fetch_connector_credential_pairs
+from danswer.db.embedding_model import get_current_db_embedding_model
+from danswer.db.embedding_model import get_secondary_db_embedding_model
 from danswer.db.engine import get_db_current_time
 from danswer.db.engine import get_sqlalchemy_engine
-from danswer.db.engine import SqlEngine
 from danswer.db.index_attempt import create_index_attempt
 from danswer.db.index_attempt import get_index_attempt
 from danswer.db.index_attempt import get_inprogress_index_attempts
-from danswer.db.index_attempt import get_last_attempt_for_cc_pair
+from danswer.db.index_attempt import get_last_attempt
 from danswer.db.index_attempt import get_not_started_index_attempts
 from danswer.db.index_attempt import mark_attempt_failed
-from danswer.db.models import ConnectorCredentialPair
+from danswer.db.models import Connector
+from danswer.db.models import EmbeddingModel
 from danswer.db.models import IndexAttempt
 from danswer.db.models import IndexingStatus
 from danswer.db.models import IndexModelStatus
-from danswer.db.models import SearchSettings
-from danswer.db.search_settings import get_current_search_settings
-from danswer.db.search_settings import get_secondary_search_settings
 from danswer.db.swap_index import check_index_swap
-from danswer.natural_language_processing.search_nlp_models import EmbeddingModel
-from danswer.natural_language_processing.search_nlp_models import warm_up_bi_encoder
+from danswer.search.search_nlp_models import warm_up_encoders
 from danswer.utils.logger import setup_logger
 from danswer.utils.variable_functionality import global_version
 from danswer.utils.variable_functionality import set_is_ee_based_on_env_variable
@@ -59,74 +53,41 @@ _UNEXPECTED_STATE_FAILURE_REASON = (
 
 
 def _should_create_new_indexing(
-    cc_pair: ConnectorCredentialPair,
+    connector: Connector,
     last_index: IndexAttempt | None,
-    search_settings_instance: SearchSettings,
+    model: EmbeddingModel,
     secondary_index_building: bool,
     db_session: Session,
 ) -> bool:
-    connector = cc_pair.connector
-
-    # don't kick off indexing for `NOT_APPLICABLE` sources
-    if connector.source == DocumentSource.NOT_APPLICABLE:
-        return False
-
     # User can still manually create single indexing attempts via the UI for the
     # currently in use index
     if DISABLE_INDEX_UPDATE_ON_SWAP:
-        if (
-            search_settings_instance.status == IndexModelStatus.PRESENT
-            and secondary_index_building
-        ):
+        if model.status == IndexModelStatus.PRESENT and secondary_index_building:
             return False
 
     # When switching over models, always index at least once
-    if search_settings_instance.status == IndexModelStatus.FUTURE:
-        if last_index:
-            # No new index if the last index attempt succeeded
-            # Once is enough. The model will never be able to swap otherwise.
-            if last_index.status == IndexingStatus.SUCCESS:
-                return False
-
-            # No new index if the last index attempt is waiting to start
-            if last_index.status == IndexingStatus.NOT_STARTED:
-                return False
-
-            # No new index if the last index attempt is running
-            if last_index.status == IndexingStatus.IN_PROGRESS:
-                return False
-        else:
-            if (
-                connector.id == 0 or connector.source == DocumentSource.INGESTION_API
-            ):  # Ingestion API
-                return False
+    if model.status == IndexModelStatus.FUTURE and not last_index:
+        if connector.id == 0:  # Ingestion API
+            return False
         return True
 
-    # If the connector is paused or is the ingestion API, don't index
-    # NOTE: during an embedding model switch over, the following logic
-    # is bypassed by the above check for a future model
-    if (
-        not cc_pair.status.is_active()
-        or connector.id == 0
-        or connector.source == DocumentSource.INGESTION_API
-    ):
+    # If the connector is disabled, don't index
+    # NOTE: during an embedding model switch over, we ignore this
+    # and index the disabled connectors as well (which is why this if
+    # statement is below the first condition above)
+    if connector.disabled:
         return False
 
-    if not last_index:
-        return True
-
     if connector.refresh_freq is None:
         return False
+    if not last_index:
+        return True
 
-    # Only one scheduled/ongoing job per connector at a time
-    # this prevents cases where
-    # (1) the "latest" index_attempt is scheduled so we show
-    #     that in the UI despite another index_attempt being in-progress
-    # (2) multiple scheduled index_attempts at a time
-    if (
-        last_index.status == IndexingStatus.NOT_STARTED
-        or last_index.status == IndexingStatus.IN_PROGRESS
-    ):
+    # Only one scheduled job per connector at a time
+    # Can schedule another one if the current one is already running however
+    # Because the currently running one will not be until the latest time
+    # Note, this last index is for the given embedding model
+    if last_index.status == IndexingStatus.NOT_STARTED:
         return False
 
     current_db_time = get_db_current_time(db_session)
@@ -134,14 +95,24 @@ def _should_create_new_indexing(
     return time_since_index.total_seconds() >= connector.refresh_freq
 
 
+def _is_indexing_job_marked_as_finished(index_attempt: IndexAttempt | None) -> bool:
+    if index_attempt is None:
+        return False
+
+    return (
+        index_attempt.status == IndexingStatus.FAILED
+        or index_attempt.status == IndexingStatus.SUCCESS
+    )
+
+
 def _mark_run_failed(
     db_session: Session, index_attempt: IndexAttempt, failure_reason: str
 ) -> None:
     """Marks the `index_attempt` row as failed + updates the `
     connector_credential_pair` to reflect that the run failed"""
     logger.warning(
-        f"Marking in-progress attempt 'connector: {index_attempt.connector_credential_pair.connector_id}, "
-        f"credential: {index_attempt.connector_credential_pair.credential_id}' as failed due to {failure_reason}"
+        f"Marking in-progress attempt 'connector: {index_attempt.connector_id}, "
+        f"credential: {index_attempt.credential_id}' as failed due to {failure_reason}"
     )
     mark_attempt_failed(
         index_attempt=index_attempt,
@@ -160,7 +131,7 @@ def create_indexing_jobs(existing_jobs: dict[int, Future | SimpleJob]) -> None:
     3. There is not already an ongoing indexing attempt for this pair
     """
     with Session(get_sqlalchemy_engine()) as db_session:
-        ongoing: set[tuple[int | None, int]] = set()
+        ongoing: set[tuple[int | None, int | None, int]] = set()
         for attempt_id in existing_jobs:
             attempt = get_index_attempt(
                 db_session=db_session, index_attempt_id=attempt_id
@@ -173,43 +144,42 @@ def create_indexing_jobs(existing_jobs: dict[int, Future | SimpleJob]) -> None:
                 continue
             ongoing.add(
                 (
-                    attempt.connector_credential_pair_id,
-                    attempt.search_settings_id,
+                    attempt.connector_id,
+                    attempt.credential_id,
+                    attempt.embedding_model_id,
                 )
             )
 
-        # Get the primary search settings
-        primary_search_settings = get_current_search_settings(db_session)
-        search_settings = [primary_search_settings]
+        embedding_models = [get_current_db_embedding_model(db_session)]
+        secondary_embedding_model = get_secondary_db_embedding_model(db_session)
+        if secondary_embedding_model is not None:
+            embedding_models.append(secondary_embedding_model)
 
-        # Check for secondary search settings
-        secondary_search_settings = get_secondary_search_settings(db_session)
-        if secondary_search_settings is not None:
-            # If secondary settings exist, add them to the list
-            search_settings.append(secondary_search_settings)
+        all_connectors = fetch_connectors(db_session)
+        for connector in all_connectors:
+            for association in connector.credentials:
+                for model in embedding_models:
+                    credential = association.credential
 
-        all_connector_credential_pairs = fetch_connector_credential_pairs(db_session)
-        for cc_pair in all_connector_credential_pairs:
-            for search_settings_instance in search_settings:
-                # Check if there is an ongoing indexing attempt for this connector credential pair
-                if (cc_pair.id, search_settings_instance.id) in ongoing:
-                    continue
+                    # Check if there is an ongoing indexing attempt for this connector + credential pair
+                    if (connector.id, credential.id, model.id) in ongoing:
+                        continue
 
-                last_attempt = get_last_attempt_for_cc_pair(
-                    cc_pair.id, search_settings_instance.id, db_session
-                )
-                if not _should_create_new_indexing(
-                    cc_pair=cc_pair,
-                    last_index=last_attempt,
-                    search_settings_instance=search_settings_instance,
-                    secondary_index_building=len(search_settings) > 1,
-                    db_session=db_session,
-                ):
-                    continue
+                    last_attempt = get_last_attempt(
+                        connector.id, credential.id, model.id, db_session
+                    )
+                    if not _should_create_new_indexing(
+                        connector=connector,
+                        last_index=last_attempt,
+                        model=model,
+                        secondary_index_building=len(embedding_models) > 1,
+                        db_session=db_session,
+                    ):
+                        continue
 
-                create_index_attempt(
-                    cc_pair.id, search_settings_instance.id, db_session
-                )
+                    create_index_attempt(
+                        connector.id, credential.id, model.id, db_session
+                    )
 
 
 def cleanup_indexing_jobs(
@@ -217,6 +187,7 @@ def cleanup_indexing_jobs(
     timeout_hours: int = CLEANUP_INDEXING_JOBS_TIMEOUT,
 ) -> dict[int, Future | SimpleJob]:
     existing_jobs_copy = existing_jobs.copy()
+
     # clean up completed jobs
     with Session(get_sqlalchemy_engine()) as db_session:
         for attempt_id, job in existing_jobs.items():
@@ -225,12 +196,10 @@ def cleanup_indexing_jobs(
             )
 
             # do nothing for ongoing jobs that haven't been stopped
-            if not job.done():
-                if not index_attempt:
-                    continue
-
-                if not index_attempt.is_finished():
-                    continue
+            if not job.done() and not _is_indexing_job_marked_as_finished(
+                index_attempt
+            ):
+                continue
 
             if job.status == "error":
                 logger.error(job.exception())
@@ -302,33 +271,24 @@ def kickoff_indexing_jobs(
     # Don't include jobs waiting in the Dask queue that just haven't started running
     # Also (rarely) don't include for jobs that started but haven't updated the indexing tables yet
     with Session(engine) as db_session:
-        # get_not_started_index_attempts orders its returned results from oldest to newest
-        # we must process attempts in a FIFO manner to prevent connector starvation
         new_indexing_attempts = [
-            (attempt, attempt.search_settings)
+            (attempt, attempt.embedding_model)
             for attempt in get_not_started_index_attempts(db_session)
             if attempt.id not in existing_jobs
         ]
 
-    logger.debug(f"Found {len(new_indexing_attempts)} new indexing task(s).")
+    logger.info(f"Found {len(new_indexing_attempts)} new indexing tasks.")
 
     if not new_indexing_attempts:
         return existing_jobs
 
-    indexing_attempt_count = 0
-
-    primary_client_full = False
-    secondary_client_full = False
-    for attempt, search_settings in new_indexing_attempts:
-        if primary_client_full and secondary_client_full:
-            break
-
+    for attempt, embedding_model in new_indexing_attempts:
         use_secondary_index = (
-            search_settings.status == IndexModelStatus.FUTURE
-            if search_settings is not None
+            embedding_model.status == IndexModelStatus.FUTURE
+            if embedding_model is not None
             else False
         )
-        if attempt.connector_credential_pair.connector is None:
+        if attempt.connector is None:
             logger.warning(
                 f"Skipping index attempt as Connector has been deleted: {attempt}"
             )
@@ -337,7 +297,7 @@ def kickoff_indexing_jobs(
                     attempt, db_session, failure_reason="Connector is null"
                 )
             continue
-        if attempt.connector_credential_pair.credential is None:
+        if attempt.credential is None:
             logger.warning(
                 f"Skipping index attempt as Credential has been deleted: {attempt}"
             )
@@ -347,82 +307,51 @@ def kickoff_indexing_jobs(
                 )
             continue
 
-        if not use_secondary_index:
-            if not primary_client_full:
-                run = client.submit(
-                    run_indexing_entrypoint,
-                    attempt.id,
-                    attempt.connector_credential_pair_id,
-                    global_version.get_is_ee_version(),
-                    pure=False,
-                )
-                if not run:
-                    primary_client_full = True
+        if use_secondary_index:
+            run = secondary_client.submit(
+                run_indexing_entrypoint,
+                attempt.id,
+                global_version.get_is_ee_version(),
+                pure=False,
+            )
         else:
-            if not secondary_client_full:
-                run = secondary_client.submit(
-                    run_indexing_entrypoint,
-                    attempt.id,
-                    attempt.connector_credential_pair_id,
-                    global_version.get_is_ee_version(),
-                    pure=False,
-                )
-                if not run:
-                    secondary_client_full = True
+            run = client.submit(
+                run_indexing_entrypoint,
+                attempt.id,
+                global_version.get_is_ee_version(),
+                pure=False,
+            )
 
         if run:
-            if indexing_attempt_count == 0:
-                logger.info(
-                    f"Indexing dispatch starts: pending={len(new_indexing_attempts)}"
-                )
-
-            indexing_attempt_count += 1
-            secondary_str = " (secondary index)" if use_secondary_index else ""
+            secondary_str = "(secondary index) " if use_secondary_index else ""
             logger.info(
-                f"Indexing dispatched{secondary_str}: "
-                f"attempt_id={attempt.id} "
-                f"connector='{attempt.connector_credential_pair.connector.name}' "
-                f"config='{attempt.connector_credential_pair.connector.connector_specific_config}' "
-                f"credentials='{attempt.connector_credential_pair.credential_id}'"
+                f"Kicked off {secondary_str}"
+                f"indexing attempt for connector: '{attempt.connector.name}', "
+                f"with config: '{attempt.connector.connector_specific_config}', and "
+                f"with credentials: '{attempt.credential_id}'"
             )
             existing_jobs_copy[attempt.id] = run
 
-    if indexing_attempt_count > 0:
-        logger.info(
-            f"Indexing dispatch results: "
-            f"initial_pending={len(new_indexing_attempts)} "
-            f"started={indexing_attempt_count} "
-            f"remaining={len(new_indexing_attempts) - indexing_attempt_count}"
-        )
-
     return existing_jobs_copy
 
 
-def update_loop(
-    delay: int = 10,
-    num_workers: int = NUM_INDEXING_WORKERS,
-    num_secondary_workers: int = NUM_SECONDARY_INDEXING_WORKERS,
-) -> None:
+def update_loop(delay: int = 10, num_workers: int = NUM_INDEXING_WORKERS) -> None:
     engine = get_sqlalchemy_engine()
     with Session(engine) as db_session:
         check_index_swap(db_session=db_session)
-        search_settings = get_current_search_settings(db_session)
+        db_embedding_model = get_current_db_embedding_model(db_session)
 
-        # So that the first time users aren't surprised by really slow speed of first
-        # batch of documents indexed
+    # So that the first time users aren't surprised by really slow speed of first
+    # batch of documents indexed
 
-        if search_settings.provider_type is None:
-            logger.notice("Running a first inference to warm up embedding model")
-            embedding_model = EmbeddingModel.from_db_model(
-                search_settings=search_settings,
-                server_host=INDEXING_MODEL_SERVER_HOST,
-                server_port=MODEL_SERVER_PORT,
-            )
-
-            warm_up_bi_encoder(
-                embedding_model=embedding_model,
-            )
-            logger.notice("First inference complete.")
+    if db_embedding_model.cloud_provider_id is None:
+        logger.info("Running a first inference to warm up embedding model")
+        warm_up_encoders(
+            model_name=db_embedding_model.model_name,
+            normalize=db_embedding_model.normalize,
+            model_server_host=INDEXING_MODEL_SERVER_HOST,
+            model_server_port=MODEL_SERVER_PORT,
+        )
 
     client_primary: Client | SimpleJobClient
     client_secondary: Client | SimpleJobClient
@@ -437,7 +366,7 @@ def update_loop(
             silence_logs=logging.ERROR,
         )
         cluster_secondary = LocalCluster(
-            n_workers=num_secondary_workers,
+            n_workers=num_workers,
             threads_per_worker=1,
             silence_logs=logging.ERROR,
         )
@@ -447,19 +376,18 @@ def update_loop(
             client_primary.register_worker_plugin(ResourceLogger())
     else:
         client_primary = SimpleJobClient(n_workers=num_workers)
-        client_secondary = SimpleJobClient(n_workers=num_secondary_workers)
+        client_secondary = SimpleJobClient(n_workers=num_workers)
 
     existing_jobs: dict[int, Future | SimpleJob] = {}
 
-    logger.notice("Startup complete. Waiting for indexing jobs...")
     while True:
         start = time.time()
         start_time_utc = datetime.utcfromtimestamp(start).strftime("%Y-%m-%d %H:%M:%S")
-        logger.debug(f"Running update, current UTC time: {start_time_utc}")
+        logger.info(f"Running update, current UTC time: {start_time_utc}")
 
         if existing_jobs:
             # TODO: make this debug level once the "no jobs are being scheduled" issue is resolved
-            logger.debug(
+            logger.info(
                 "Found existing indexing jobs: "
                 f"{[(attempt_id, job.status) for attempt_id, job in existing_jobs.items()]}"
             )
@@ -484,10 +412,7 @@ def update_loop(
 def update__main() -> None:
     set_is_ee_based_on_env_variable()
 
-    # initialize the Postgres connection pool
-    SqlEngine.set_app_name(POSTGRES_INDEXER_APP_NAME)
-
-    logger.notice("Starting indexing service")
+    logger.info("Starting Indexing Loop")
     update_loop()
 
 

backend/danswer/chat/chat_utils.py

@@ -35,19 +35,14 @@ def llm_doc_from_inference_section(inference_section: InferenceSection) -> LlmDo
 def create_chat_chain(
     chat_session_id: int,
     db_session: Session,
-    prefetch_tool_calls: bool = True,
-    # Optional id at which we finish processing
-    stop_at_message_id: int | None = None,
 ) -> tuple[ChatMessage, list[ChatMessage]]:
     """Build the linear chain of messages without including the root message"""
     mainline_messages: list[ChatMessage] = []
-
     all_chat_messages = get_chat_messages_by_session(
         chat_session_id=chat_session_id,
         user_id=None,
         db_session=db_session,
         skip_permission_check=True,
-        prefetch_tool_calls=prefetch_tool_calls,
     )
     id_to_msg = {msg.id: msg for msg in all_chat_messages}
 
@@ -63,12 +58,7 @@ def create_chat_chain(
     current_message: ChatMessage | None = root_message
     while current_message is not None:
         child_msg = current_message.latest_child_message
-
-        # Break if at the end of the chain
-        # or have reached the `final_id` of the submitted message
-        if not child_msg or (
-            stop_at_message_id and current_message.id == stop_at_message_id
-        ):
+        if not child_msg:
             break
         current_message = id_to_msg.get(child_msg)
 

backend/danswer/chat/input_prompts.yaml

@@ -1,24 +0,0 @@
-input_prompts:
-  - id: -5
-    prompt: "Elaborate"
-    content: "Elaborate on the above, give me a more in depth explanation."
-    active: true
-    is_public: true
-
-  - id: -4
-    prompt: "Reword"
-    content: "Help me rewrite the following politely and concisely for professional communication:\n"
-    active: true
-    is_public: true
-
-  - id: -3
-    prompt: "Email"
-    content: "Write a professional email for me including a subject line, signature, etc. Template the parts that need editing with [ ]. The email should cover the following points:\n"
-    active: true
-    is_public: true
-
-  - id: -2
-    prompt: "Debug"
-    content: "Provide step-by-step troubleshooting instructions for the following issue:\n"
-    active: true
-    is_public: true

backend/danswer/chat/load_yamls.py

@@ -1,48 +1,43 @@
 import yaml
 from sqlalchemy.orm import Session
 
-from danswer.configs.chat_configs import INPUT_PROMPT_YAML
 from danswer.configs.chat_configs import MAX_CHUNKS_FED_TO_CHAT
 from danswer.configs.chat_configs import PERSONAS_YAML
 from danswer.configs.chat_configs import PROMPTS_YAML
 from danswer.db.document_set import get_or_create_document_set_by_name
-from danswer.db.input_prompt import insert_input_prompt_if_not_exists
+from danswer.db.engine import get_sqlalchemy_engine
 from danswer.db.models import DocumentSet as DocumentSetDBModel
-from danswer.db.models import Persona
 from danswer.db.models import Prompt as PromptDBModel
-from danswer.db.models import Tool as ToolDBModel
 from danswer.db.persona import get_prompt_by_name
 from danswer.db.persona import upsert_persona
 from danswer.db.persona import upsert_prompt
 from danswer.search.enums import RecencyBiasSetting
 
 
-def load_prompts_from_yaml(
-    db_session: Session, prompts_yaml: str = PROMPTS_YAML
-) -> None:
+def load_prompts_from_yaml(prompts_yaml: str = PROMPTS_YAML) -> None:
     with open(prompts_yaml, "r") as file:
         data = yaml.safe_load(file)
 
     all_prompts = data.get("prompts", [])
-    for prompt in all_prompts:
-        upsert_prompt(
-            user=None,
-            prompt_id=prompt.get("id"),
-            name=prompt["name"],
-            description=prompt["description"].strip(),
-            system_prompt=prompt["system"].strip(),
-            task_prompt=prompt["task"].strip(),
-            include_citations=prompt["include_citations"],
-            datetime_aware=prompt.get("datetime_aware", True),
-            default_prompt=True,
-            personas=None,
-            db_session=db_session,
-            commit=True,
-        )
+    with Session(get_sqlalchemy_engine()) as db_session:
+        for prompt in all_prompts:
+            upsert_prompt(
+                user=None,
+                prompt_id=prompt.get("id"),
+                name=prompt["name"],
+                description=prompt["description"].strip(),
+                system_prompt=prompt["system"].strip(),
+                task_prompt=prompt["task"].strip(),
+                include_citations=prompt["include_citations"],
+                datetime_aware=prompt.get("datetime_aware", True),
+                default_prompt=True,
+                personas=None,
+                db_session=db_session,
+                commit=True,
+            )
 
 
 def load_personas_from_yaml(
-    db_session: Session,
     personas_yaml: str = PERSONAS_YAML,
     default_chunks: float = MAX_CHUNKS_FED_TO_CHAT,
 ) -> None:
@@ -50,117 +45,63 @@ def load_personas_from_yaml(
         data = yaml.safe_load(file)
 
     all_personas = data.get("personas", [])
-    for persona in all_personas:
-        doc_set_names = persona["document_sets"]
-        doc_sets: list[DocumentSetDBModel] = [
-            get_or_create_document_set_by_name(db_session, name)
-            for name in doc_set_names
-        ]
-
-        # Assume if user hasn't set any document sets for the persona, the user may want
-        # to later attach document sets to the persona manually, therefore, don't overwrite/reset
-        # the document sets for the persona
-        doc_set_ids: list[int] | None = None
-        if doc_sets:
-            doc_set_ids = [doc_set.id for doc_set in doc_sets]
-        else:
-            doc_set_ids = None
-
-        prompt_ids: list[int] | None = None
-        prompt_set_names = persona["prompts"]
-        if prompt_set_names:
-            prompts: list[PromptDBModel | None] = [
-                get_prompt_by_name(prompt_name, user=None, db_session=db_session)
-                for prompt_name in prompt_set_names
+    with Session(get_sqlalchemy_engine()) as db_session:
+        for persona in all_personas:
+            doc_set_names = persona["document_sets"]
+            doc_sets: list[DocumentSetDBModel] = [
+                get_or_create_document_set_by_name(db_session, name)
+                for name in doc_set_names
             ]
-            if any([prompt is None for prompt in prompts]):
-                raise ValueError("Invalid Persona configs, not all prompts exist")
 
-            if prompts:
-                prompt_ids = [prompt.id for prompt in prompts if prompt is not None]
+            # Assume if user hasn't set any document sets for the persona, the user may want
+            # to later attach document sets to the persona manually, therefore, don't overwrite/reset
+            # the document sets for the persona
+            doc_set_ids: list[int] | None = None
+            if doc_sets:
+                doc_set_ids = [doc_set.id for doc_set in doc_sets]
+            else:
+                doc_set_ids = None
 
-        p_id = persona.get("id")
-        tool_ids = []
-        if persona.get("image_generation"):
-            image_gen_tool = (
-                db_session.query(ToolDBModel)
-                .filter(ToolDBModel.name == "ImageGenerationTool")
-                .first()
+            prompt_ids: list[int] | None = None
+            prompt_set_names = persona["prompts"]
+            if prompt_set_names:
+                prompts: list[PromptDBModel | None] = [
+                    get_prompt_by_name(prompt_name, user=None, db_session=db_session)
+                    for prompt_name in prompt_set_names
+                ]
+                if any([prompt is None for prompt in prompts]):
+                    raise ValueError("Invalid Persona configs, not all prompts exist")
+
+                if prompts:
+                    prompt_ids = [prompt.id for prompt in prompts if prompt is not None]
+
+            p_id = persona.get("id")
+            upsert_persona(
+                user=None,
+                # Negative to not conflict with existing personas
+                persona_id=(-1 * p_id) if p_id is not None else None,
+                name=persona["name"],
+                description=persona["description"],
+                num_chunks=persona.get("num_chunks")
+                if persona.get("num_chunks") is not None
+                else default_chunks,
+                llm_relevance_filter=persona.get("llm_relevance_filter"),
+                starter_messages=persona.get("starter_messages"),
+                llm_filter_extraction=persona.get("llm_filter_extraction"),
+                llm_model_provider_override=None,
+                llm_model_version_override=None,
+                recency_bias=RecencyBiasSetting(persona["recency_bias"]),
+                prompt_ids=prompt_ids,
+                document_set_ids=doc_set_ids,
+                default_persona=True,
+                is_public=True,
+                db_session=db_session,
             )
-            if image_gen_tool:
-                tool_ids.append(image_gen_tool.id)
-
-        llm_model_provider_override = persona.get("llm_model_provider_override")
-        llm_model_version_override = persona.get("llm_model_version_override")
-
-        # Set specific overrides for image generation persona
-        if persona.get("image_generation"):
-            llm_model_version_override = "gpt-4o"
-
-        existing_persona = (
-            db_session.query(Persona).filter(Persona.name == persona["name"]).first()
-        )
-
-        upsert_persona(
-            user=None,
-            persona_id=(-1 * p_id) if p_id is not None else None,
-            name=persona["name"],
-            description=persona["description"],
-            num_chunks=persona.get("num_chunks")
-            if persona.get("num_chunks") is not None
-            else default_chunks,
-            llm_relevance_filter=persona.get("llm_relevance_filter"),
-            starter_messages=persona.get("starter_messages"),
-            llm_filter_extraction=persona.get("llm_filter_extraction"),
-            icon_shape=persona.get("icon_shape"),
-            icon_color=persona.get("icon_color"),
-            llm_model_provider_override=llm_model_provider_override,
-            llm_model_version_override=llm_model_version_override,
-            recency_bias=RecencyBiasSetting(persona["recency_bias"]),
-            prompt_ids=prompt_ids,
-            document_set_ids=doc_set_ids,
-            tool_ids=tool_ids,
-            builtin_persona=True,
-            is_public=True,
-            display_priority=existing_persona.display_priority
-            if existing_persona is not None
-            else persona.get("display_priority"),
-            is_visible=existing_persona.is_visible
-            if existing_persona is not None
-            else persona.get("is_visible"),
-            db_session=db_session,
-        )
-
-
-def load_input_prompts_from_yaml(
-    db_session: Session, input_prompts_yaml: str = INPUT_PROMPT_YAML
-) -> None:
-    with open(input_prompts_yaml, "r") as file:
-        data = yaml.safe_load(file)
-
-    all_input_prompts = data.get("input_prompts", [])
-    for input_prompt in all_input_prompts:
-        # If these prompts are deleted (which is a hard delete in the DB), on server startup
-        # they will be recreated, but the user can always just deactivate them, just a light inconvenience
-
-        insert_input_prompt_if_not_exists(
-            user=None,
-            input_prompt_id=input_prompt.get("id"),
-            prompt=input_prompt["prompt"],
-            content=input_prompt["content"],
-            is_public=input_prompt["is_public"],
-            active=input_prompt.get("active", True),
-            db_session=db_session,
-            commit=True,
-        )
 
 
 def load_chat_yamls(
-    db_session: Session,
     prompt_yaml: str = PROMPTS_YAML,
     personas_yaml: str = PERSONAS_YAML,
-    input_prompts_yaml: str = INPUT_PROMPT_YAML,
 ) -> None:
-    load_prompts_from_yaml(db_session, prompt_yaml)
-    load_personas_from_yaml(db_session, personas_yaml)
-    load_input_prompts_from_yaml(db_session, input_prompts_yaml)
+    load_prompts_from_yaml(prompt_yaml)
+    load_personas_from_yaml(personas_yaml)