Debug test

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

@@ -32,20 +32,16 @@ inputs:
     description: 'Cache destinations'
     required: false
   retry-wait-time:
-    description: 'Time to wait before attempt 2 in seconds'
+    description: 'Time to wait before retry in seconds'
     required: false
-    default: '60'
-  retry-wait-time-2:
-    description: 'Time to wait before attempt 3 in seconds'
-    required: false
-    default: '120'
+    default: '5'
 
 runs:
   using: "composite"
   steps:
-    - name: Build and push Docker image (Attempt 1 of 3)
+    - name: Build and push Docker image (First Attempt)
       id: buildx1
-      uses: docker/build-push-action@v6
+      uses: docker/build-push-action@v5
       continue-on-error: true
       with:
         context: ${{ inputs.context }}
@@ -58,17 +54,16 @@ runs:
         cache-from: ${{ inputs.cache-from }}
         cache-to: ${{ inputs.cache-to }}
 
-    - name: Wait before attempt 2
+    - 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 (Attempt 2 of 3)
-      id: buildx2
+    - name: Build and push Docker image (Retry Attempt)
       if: steps.buildx1.outcome != 'success'
-      uses: docker/build-push-action@v6
+      uses: docker/build-push-action@v5
       with:
         context: ${{ inputs.context }}
         file: ${{ inputs.file }}
@@ -79,31 +74,3 @@ runs:
         tags: ${{ inputs.tags }}
         cache-from: ${{ inputs.cache-from }}
         cache-to: ${{ inputs.cache-to }}
-
-    - name: Wait before attempt 3
-      if: steps.buildx1.outcome != 'success' && steps.buildx2.outcome != 'success'
-      run: |
-        echo "Second attempt failed. Waiting ${{ inputs.retry-wait-time-2 }} seconds before retry..."
-        sleep ${{ inputs.retry-wait-time-2 }}
-      shell: bash
-
-    - name: Build and push Docker image (Attempt 3 of 3)
-      id: buildx3
-      if: steps.buildx1.outcome != 'success' && steps.buildx2.outcome != 'success'
-      uses: docker/build-push-action@v6
-      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: Report failure
-      if: steps.buildx1.outcome != 'success' && steps.buildx2.outcome != 'success' && steps.buildx3.outcome != 'success'
-      run: |
-        echo "All attempts failed. Possible transient infrastucture issues? Try again later or inspect logs for details."
-      shell: bash

.github/pull_request_template.md

@@ -6,24 +6,20 @@
 [Describe the tests you ran to verify your changes]
 
 
-## Accepted Risk (provide if relevant)
-N/A
+## Accepted Risk
+[Any know risks or failure modes to point out to reviewers]
 
 
-## Related Issue(s) (provide if relevant)
-N/A
+## Related Issue(s)
+[If applicable, link to the issue(s) this PR addresses]
 
 
-## Mental 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
-
-## Backporting (check the box to trigger backport action)
-Note: You have to check that the action passes, otherwise resolve the conflicts manually and tag the patches.
-- [ ] This PR should be backported (make sure to check that the backport attempt succeeds)
+## 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-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
@@ -32,7 +31,7 @@ jobs:
       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 +41,12 @@ 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-cloud-web-container-on-tag.yml

@@ -1,136 +0,0 @@
-name: Build and Push Cloud Web Image on Tag
-# Identical to the web container build, but with correct image tag and build args
-
-on:
-  push:
-    tags:
-      - '*'
-
-env:
-  REGISTRY_IMAGE: danswer/danswer-cloud-web-server
-  LATEST_TAG: ${{ contains(github.ref_name, 'latest') }}
-  
-jobs:
-  build:
-    runs-on:
-      - runs-on
-      - runner=${{ matrix.platform == 'linux/amd64' && '8cpu-linux-x64' || '8cpu-linux-arm64' }}
-      - run-id=${{ github.run_id }}
-      - tag=platform-${{ matrix.platform }}
-    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 }}:${{ github.ref_name }}
-            type=raw,value=${{ env.LATEST_TAG == 'true' && format('{0}:latest', env.REGISTRY_IMAGE) || '' }}
-      
-      - 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 }}
-    
-      - name: Build and push by digest
-        id: build
-        uses: docker/build-push-action@v5
-        with:
-          context: ./web
-          file: ./web/Dockerfile
-          platforms: ${{ matrix.platform }}
-          push: true
-          build-args: |
-            DANSWER_VERSION=${{ github.ref_name }}
-            NEXT_PUBLIC_CLOUD_ENABLED=true
-            NEXT_PUBLIC_POSTHOG_KEY=${{ secrets.POSTHOG_KEY }}
-            NEXT_PUBLIC_POSTHOG_HOST=${{ secrets.POSTHOG_HOST }}
-            NEXT_PUBLIC_SENTRY_DSN=${{ secrets.SENTRY_DSN }}
-          # needed due to weird interactions with the builds for different platforms  
-          no-cache: true
-          labels: ${{ steps.meta.outputs.labels }}
-          outputs: type=image,name=${{ env.REGISTRY_IMAGE }},push-by-digest=true,name-canonical=true,push=true
-      
-      - name: Export digest
-        run: |
-          mkdir -p /tmp/digests
-          digest="${{ steps.build.outputs.digest }}"
-          touch "/tmp/digests/${digest#sha256:}"          
-      
-      - name: Upload digest
-        uses: actions/upload-artifact@v4
-        with:
-          name: digests-${{ env.PLATFORM_PAIR }}
-          path: /tmp/digests/*
-          if-no-files-found: error
-          retention-days: 1
-
-  merge:
-    runs-on: ubuntu-latest
-    needs:
-      - build
-    steps:
-      - name: Download digests
-        uses: actions/download-artifact@v4
-        with:
-          path: /tmp/digests
-          pattern: digests-*
-          merge-multiple: true
-      
-      - name: Set up Docker Buildx
-        uses: docker/setup-buildx-action@v3
-      
-      - name: Docker meta
-        id: meta
-        uses: docker/metadata-action@v5
-        with:
-          images: ${{ env.REGISTRY_IMAGE }}
-      
-      - name: Login to Docker Hub
-        uses: docker/login-action@v3
-        with:
-          username: ${{ secrets.DOCKER_USERNAME }}
-          password: ${{ secrets.DOCKER_TOKEN }}
-      
-      - name: Create manifest list and push
-        working-directory: /tmp/digests
-        run: |
-          docker buildx imagetools create $(jq -cr '.tags | map("-t " + .) | join(" ")' <<< "$DOCKER_METADATA_OUTPUT_JSON") \
-            $(printf '${{ env.REGISTRY_IMAGE }}@sha256:%s ' *)          
-      
-      - name: Inspect image
-        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-push-model-server-container-on-tag.yml

@@ -5,18 +5,14 @@ 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: 
+      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
@@ -35,21 +31,13 @@ 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

@@ -7,15 +7,11 @@ on:
 
 env:
   REGISTRY_IMAGE: danswer/danswer-web-server
-  LATEST_TAG: ${{ contains(github.ref_name, 'latest') }}
-  
+
 jobs:
   build:
-    runs-on:
-      - runs-on
-      - runner=${{ matrix.platform == 'linux/amd64' && '8cpu-linux-x64' || '8cpu-linux-arm64' }}
-      - run-id=${{ github.run_id }}
-      - tag=platform-${{ matrix.platform }}
+    runs-on: 
+      group: ${{ matrix.platform == 'linux/amd64' && 'amd64-image-builders' || 'arm64-image-builders' }}
     strategy:
       fail-fast: false
       matrix:
@@ -39,7 +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
@@ -116,16 +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-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/hotfix-release-branches.yml

@@ -1,172 +0,0 @@
-# This workflow is intended to be manually triggered via the GitHub Action tab.
-# Given a hotfix branch, it will attempt to open a PR to all release branches and
-# by default auto merge them
-
-name: Hotfix release branches
-
-on:
-  workflow_dispatch:
-    inputs:
-      hotfix_commit:
-        description: 'Hotfix commit hash'
-        required: true
-      hotfix_suffix:
-        description: 'Hotfix branch suffix (e.g. hotfix/v0.8-{suffix})'
-        required: true
-      release_branch_pattern:
-        description: 'Release branch pattern (regex)'
-        required: true
-        default: 'release/.*'
-      auto_merge:
-        description: 'Automatically merge the hotfix PRs'
-        required: true
-        type: choice
-        default: 'true'
-        options:
-          - true
-          - false
-          
-jobs:
-  hotfix_release_branches:
-    permissions: write-all
-    # 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=${{ github.run_id }}"]
-    steps:
-    
-      # needs RKUO_DEPLOY_KEY for write access to merge PR's
-      - name: Checkout Repository
-        uses: actions/checkout@v4
-        with:
-          ssh-key: "${{ secrets.RKUO_DEPLOY_KEY }}"
-          fetch-depth: 0
-          
-      - name: Set up Git user
-        run: |
-          git config user.name "Richard Kuo [bot]"
-          git config user.email "rkuo[bot]@danswer.ai"
-
-      - name: Fetch All Branches
-        run: |
-          git fetch --all --prune
-
-      - name: Verify Hotfix Commit Exists
-        run: |
-          git rev-parse --verify "${{ github.event.inputs.hotfix_commit }}" || { echo "Commit not found: ${{ github.event.inputs.hotfix_commit }}"; exit 1; }
-
-      - name: Get Release Branches
-        id: get_release_branches
-        run: |
-          BRANCHES=$(git branch -r | grep -E "${{ github.event.inputs.release_branch_pattern }}" | sed 's|origin/||' | tr -d ' ')
-          if [ -z "$BRANCHES" ]; then
-            echo "No release branches found matching pattern '${{ github.event.inputs.release_branch_pattern }}'."
-            exit 1
-          fi
-          
-          echo "Found release branches:"
-          echo "$BRANCHES"
-          
-          # Join the branches into a single line separated by commas
-          BRANCHES_JOINED=$(echo "$BRANCHES" | tr '\n' ',' | sed 's/,$//')
-
-          # Set the branches as an output
-          echo "branches=$BRANCHES_JOINED" >> $GITHUB_OUTPUT
-
-      # notes on all the vagaries of wiring up automated PR's
-      # https://github.com/peter-evans/create-pull-request/blob/main/docs/concepts-guidelines.md#triggering-further-workflow-runs
-      # we must use a custom token for GH_TOKEN to trigger the subsequent PR checks
-      - name: Create and Merge Pull Requests to Matching Release Branches
-        env:
-          HOTFIX_COMMIT: ${{ github.event.inputs.hotfix_commit }}
-          HOTFIX_SUFFIX: ${{ github.event.inputs.hotfix_suffix }}
-          AUTO_MERGE: ${{ github.event.inputs.auto_merge }}
-          GH_TOKEN: ${{ secrets.RKUO_PERSONAL_ACCESS_TOKEN }}
-        run: |
-          # Get the branches from the previous step
-          BRANCHES="${{ steps.get_release_branches.outputs.branches }}"
-
-          # Convert BRANCHES to an array
-          IFS=$',' read -ra BRANCH_ARRAY <<< "$BRANCHES"
-
-          # Loop through each release branch and create and merge a PR
-          for RELEASE_BRANCH in "${BRANCH_ARRAY[@]}"; do
-            echo "Processing $RELEASE_BRANCH..."
-            
-            # Parse out the release version by removing "release/" from the branch name
-            RELEASE_VERSION=${RELEASE_BRANCH#release/}
-            echo "Release version parsed: $RELEASE_VERSION"
-            
-            HOTFIX_BRANCH="hotfix/${RELEASE_VERSION}-${HOTFIX_SUFFIX}"
-            echo "Creating PR from $HOTFIX_BRANCH to $RELEASE_BRANCH"
-
-            # Checkout the release branch
-            echo "Checking out $RELEASE_BRANCH"
-            git checkout "$RELEASE_BRANCH"
-
-            # Create the new hotfix branch
-            if git rev-parse --verify "$HOTFIX_BRANCH" >/dev/null 2>&1; then
-              echo "Hotfix branch $HOTFIX_BRANCH already exists. Skipping branch creation."
-            else
-              echo "Branching $RELEASE_BRANCH to $HOTFIX_BRANCH"
-              git checkout -b "$HOTFIX_BRANCH"
-            fi
-            
-            # Check if the hotfix commit is a merge commit
-            if git rev-list --merges -n 1 "$HOTFIX_COMMIT" >/dev/null 2>&1; then
-              # -m 1 uses the target branch as the base (which is what we want)
-              echo "Hotfix commit $HOTFIX_COMMIT is a merge commit, using -m 1 for cherry-pick"
-              CHERRY_PICK_CMD="git cherry-pick -m 1 $HOTFIX_COMMIT"
-            else
-              CHERRY_PICK_CMD="git cherry-pick $HOTFIX_COMMIT"
-            fi
-
-            # Perform the cherry-pick
-            echo "Executing: $CHERRY_PICK_CMD"
-            eval "$CHERRY_PICK_CMD"
-
-            if [ $? -ne 0 ]; then
-              echo "Cherry-pick failed for $HOTFIX_COMMIT on $HOTFIX_BRANCH. Aborting..."
-              git cherry-pick --abort
-              continue
-            fi
-
-            # Push the hotfix branch to the remote
-            echo "Pushing $HOTFIX_BRANCH..."
-            git push origin "$HOTFIX_BRANCH"
-            echo "Hotfix branch $HOTFIX_BRANCH created and pushed."
-            
-            # Check if PR already exists
-            EXISTING_PR=$(gh pr list --head "$HOTFIX_BRANCH" --base "$RELEASE_BRANCH" --state open --json number --jq '.[0].number')
-
-            if [ -n "$EXISTING_PR" ]; then
-              echo "An open PR already exists: #$EXISTING_PR. Skipping..."
-              continue
-            fi
-            
-            # Create a new PR and capture the output
-            PR_OUTPUT=$(gh pr create --title "Merge $HOTFIX_BRANCH into $RELEASE_BRANCH" \
-              --body "Automated PR to merge \`$HOTFIX_BRANCH\` into \`$RELEASE_BRANCH\`." \
-              --head "$HOTFIX_BRANCH" --base "$RELEASE_BRANCH")
-
-            # Extract the URL from the output
-            PR_URL=$(echo "$PR_OUTPUT" | grep -Eo 'https://github.com/[^ ]+')
-            echo "Pull request created: $PR_URL"
-
-            # Extract PR number from URL
-            PR_NUMBER=$(basename "$PR_URL")
-            echo "Pull request created: $PR_NUMBER"
-
-            if [ "$AUTO_MERGE" == "true" ]; then
-              echo "Attempting to merge pull request #$PR_NUMBER"
-
-              # Attempt to merge the PR
-              gh pr merge "$PR_NUMBER" --merge --auto --delete-branch
-
-              if [ $? -eq 0 ]; then
-                echo "Pull request #$PR_NUMBER merged successfully."
-              else
-                # Optionally, handle the error or continue
-                echo "Failed to merge pull request #$PR_NUMBER."
-              fi
-            fi
-          done

.github/workflows/nightly-close-stale-issues.yml

@@ -1,23 +0,0 @@
-name: 'Nightly - Close stale issues and PRs'
-on:
-  schedule:
-    - cron: '0 11 * * *' # Runs every day at 3 AM PST / 4 AM PDT / 11 AM UTC
-
-permissions:
-  # contents: write # only for delete-branch option
-  issues: write
-  pull-requests: write
-  
-jobs:
-  stale:
-    runs-on: ubuntu-latest
-    steps:
-      - uses: actions/stale@v9
-        with:
-          stale-issue-message: 'This issue is stale because it has been open 75 days with no activity. Remove stale label or comment or this will be closed in 15 days.'
-          stale-pr-message: 'This PR is stale because it has been open 75 days with no activity. Remove stale label or comment or this will be closed in 15 days.'
-          close-issue-message: 'This issue was closed because it has been stalled for 90 days with no activity.'
-          close-pr-message: 'This PR was closed because it has been stalled for 90 days with no activity.'
-          days-before-stale: 75
-#           days-before-close: 90  # uncomment after we test stale behavior
-          

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

@@ -1,235 +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=${{ env.RUNS_ON_S3_BUCKET_CACHE }},mode=max
-
-      # Start containers for multi-tenant tests
-      - name: Start Docker containers for multi-tenant tests
-        run: |
-          cd deployment/docker_compose
-          ENABLE_PAID_ENTERPRISE_EDITION_FEATURES=true \
-          MULTI_TENANT=true \
-          AUTH_TYPE=basic \
-          REQUIRE_EMAIL_VERIFICATION=false \
-          DISABLE_TELEMETRY=true \
-          IMAGE_TAG=test \
-          docker compose -f docker-compose.dev.yml -p danswer-stack up -d
-        id: start_docker_multi_tenant
-
-      # In practice, `cloud` Auth type would require OAUTH credentials to be set.
-      - name: Run Multi-Tenant Integration Tests
-        run: |
-          echo "Running integration tests..."
-          docker run --rm --network danswer-stack_default \
-            --name test-runner \
-            -e POSTGRES_HOST=relational_db \
-            -e POSTGRES_USER=postgres \
-            -e POSTGRES_PASSWORD=password \
-            -e POSTGRES_DB=postgres \
-            -e VESPA_HOST=index \
-            -e REDIS_HOST=cache \
-            -e API_SERVER_HOST=api_server \
-            -e OPENAI_API_KEY=${OPENAI_API_KEY} \
-            -e SLACK_BOT_TOKEN=${SLACK_BOT_TOKEN} \
-            -e TEST_WEB_HOSTNAME=test-runner \
-            -e AUTH_TYPE=cloud \
-            -e MULTI_TENANT=true \
-            danswer/danswer-integration:test \
-            /app/tests/integration/multitenant_tests
-        continue-on-error: true
-        id: run_multitenant_tests
-
-      - name: Check multi-tenant test results
-        run: |
-          if [ ${{ steps.run_tests.outcome }} == 'failure' ]; then
-            echo "Integration tests failed. Exiting with error."
-            exit 1
-          else
-            echo "All integration tests passed successfully."
-          fi 
-
-      - name: Stop multi-tenant Docker containers
-        run: |
-          cd deployment/docker_compose
-          docker compose -f docker-compose.dev.yml -p danswer-stack down -v
-
-
-      - name: Start Docker containers 
-        run: |
-          cd deployment/docker_compose
-          ENABLE_PAID_ENTERPRISE_EDITION_FEATURES=true \
-          AUTH_TYPE=basic \
-          REQUIRE_EMAIL_VERIFICATION=false \
-          DISABLE_TELEMETRY=true \
-          IMAGE_TAG=test \
-          docker compose -f docker-compose.dev.yml -p danswer-stack up -d
-        id: start_docker
-
-      - name: Wait for service to be ready
-        run: |
-          echo "Starting wait-for-service script..."
-          
-          docker logs -f danswer-stack-api_server-1 &
-
-          start_time=$(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 $response). Retrying in 5 seconds..."
-            fi
-            
-            sleep 5
-          done
-          echo "Finished waiting for service."
-
-      - name: Run Standard Integration Tests
-        run: |
-          echo "Running integration tests..."
-          docker run --rm --network danswer-stack_default \
-            --name test-runner \
-            -e POSTGRES_HOST=relational_db \
-            -e POSTGRES_USER=postgres \
-            -e POSTGRES_PASSWORD=password \
-            -e POSTGRES_DB=postgres \
-            -e VESPA_HOST=index \
-            -e REDIS_HOST=cache \
-            -e API_SERVER_HOST=api_server \
-            -e OPENAI_API_KEY=${OPENAI_API_KEY} \
-            -e SLACK_BOT_TOKEN=${SLACK_BOT_TOKEN} \
-            -e TEST_WEB_HOSTNAME=test-runner \
-            danswer/danswer-integration:test \
-            /app/tests/integration/tests
-        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: Stop Docker containers
-        run: |
-          cd deployment/docker_compose
-          docker compose -f docker-compose.dev.yml -p danswer-stack down -v
-
-      - 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@v4
-        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-backport-autotrigger.yml

@@ -1,124 +0,0 @@
-name: Backport on Merge
-
-# Note this workflow does not trigger the builds, be sure to manually tag the branches to trigger the builds
-
-on:
-  pull_request:
-    types: [closed]  # Later we check for merge so only PRs that go in can get backported
-
-permissions:
-  contents: write
-  actions: write
-
-jobs:
-  backport:
-    if: github.event.pull_request.merged == true
-    runs-on: ubuntu-latest
-    env:
-      GITHUB_TOKEN: ${{ secrets.YUHONG_GH_ACTIONS }}
-    steps:
-      - name: Checkout code
-        uses: actions/checkout@v4
-        with:
-          ssh-key: "${{ secrets.RKUO_DEPLOY_KEY }}"
-          fetch-depth: 0
-
-      - name: Set up Git user
-        run: |
-          git config user.name "Richard Kuo [bot]"
-          git config user.email "rkuo[bot]@danswer.ai"
-          git fetch --prune
-      
-      - name: Check for Backport Checkbox
-        id: checkbox-check
-        run: |
-          PR_BODY="${{ github.event.pull_request.body }}"
-          if [[ "$PR_BODY" == *"[x] This PR should be backported"* ]]; then
-            echo "backport=true" >> $GITHUB_OUTPUT
-          else
-            echo "backport=false" >> $GITHUB_OUTPUT
-          fi
-
-      - name: List and sort release branches
-        id: list-branches
-        run: |
-          git fetch --all --tags
-          BRANCHES=$(git for-each-ref --format='%(refname:short)' refs/remotes/origin/release/* | sed 's|origin/release/||' | sort -Vr)
-          BETA=$(echo "$BRANCHES" | head -n 1)
-          STABLE=$(echo "$BRANCHES" | head -n 2 | tail -n 1)
-          echo "beta=release/$BETA" >> $GITHUB_OUTPUT
-          echo "stable=release/$STABLE" >> $GITHUB_OUTPUT
-          # Fetch latest tags for beta and stable
-          LATEST_BETA_TAG=$(git tag -l "v[0-9]*.[0-9]*.[0-9]*-beta.[0-9]*" | grep -E "^v[0-9]+\.[0-9]+\.[0-9]+-beta\.[0-9]+$" | grep -v -- "-cloud" | sort -Vr | head -n 1)
-          LATEST_STABLE_TAG=$(git tag -l "v[0-9]*.[0-9]*.[0-9]*" | grep -E "^v[0-9]+\.[0-9]+\.[0-9]+$" | sort -Vr | head -n 1)
-          
-          # Handle case where no beta tags exist
-          if [[ -z "$LATEST_BETA_TAG" ]]; then
-            NEW_BETA_TAG="v1.0.0-beta.1"
-          else
-            NEW_BETA_TAG=$(echo $LATEST_BETA_TAG | awk -F '[.-]' '{print $1 "." $2 "." $3 "-beta." ($NF+1)}')
-          fi
-          
-          # Increment latest stable tag
-          NEW_STABLE_TAG=$(echo $LATEST_STABLE_TAG | awk -F '.' '{print $1 "." $2 "." ($3+1)}')
-          echo "latest_beta_tag=$LATEST_BETA_TAG" >> $GITHUB_OUTPUT
-          echo "latest_stable_tag=$LATEST_STABLE_TAG" >> $GITHUB_OUTPUT
-          echo "new_beta_tag=$NEW_BETA_TAG" >> $GITHUB_OUTPUT
-          echo "new_stable_tag=$NEW_STABLE_TAG" >> $GITHUB_OUTPUT
-
-      - name: Echo branch and tag information
-        run: |
-          echo "Beta branch: ${{ steps.list-branches.outputs.beta }}"
-          echo "Stable branch: ${{ steps.list-branches.outputs.stable }}"
-          echo "Latest beta tag: ${{ steps.list-branches.outputs.latest_beta_tag }}"
-          echo "Latest stable tag: ${{ steps.list-branches.outputs.latest_stable_tag }}"
-          echo "New beta tag: ${{ steps.list-branches.outputs.new_beta_tag }}"
-          echo "New stable tag: ${{ steps.list-branches.outputs.new_stable_tag }}"
-
-      - name: Trigger Backport
-        if: steps.checkbox-check.outputs.backport == 'true'
-        run: |
-          set -e
-          echo "Backporting to beta ${{ steps.list-branches.outputs.beta }} and stable ${{ steps.list-branches.outputs.stable }}"
-          
-          # Echo the merge commit SHA
-          echo "Merge commit SHA: ${{ github.event.pull_request.merge_commit_sha }}"
-          
-          # Fetch all history for all branches and tags
-          git fetch --prune
-
-          # Reset and prepare the beta branch
-          git checkout ${{ steps.list-branches.outputs.beta }}
-          echo "Last 5 commits on beta branch:"
-          git log -n 5 --pretty=format:"%H"
-          echo ""  # Newline for formatting
-
-          # Cherry-pick the merge commit from the merged PR
-          git cherry-pick -m 1 ${{ github.event.pull_request.merge_commit_sha }} || {
-            echo "Cherry-pick to beta failed due to conflicts."
-            exit 1
-          }
-          
-          # Create new beta branch/tag
-          git tag ${{ steps.list-branches.outputs.new_beta_tag }}
-          # Push the changes and tag to the beta branch using PAT
-          git push origin ${{ steps.list-branches.outputs.beta }}
-          git push origin ${{ steps.list-branches.outputs.new_beta_tag }}
-
-          # Reset and prepare the stable branch
-          git checkout ${{ steps.list-branches.outputs.stable }}
-          echo "Last 5 commits on stable branch:"
-          git log -n 5 --pretty=format:"%H"
-          echo ""  # Newline for formatting
-          
-          # Cherry-pick the merge commit from the merged PR
-          git cherry-pick -m 1 ${{ github.event.pull_request.merge_commit_sha }} || {
-            echo "Cherry-pick to stable failed due to conflicts."
-            exit 1
-          }
-          
-          # Create new stable branch/tag
-          git tag ${{ steps.list-branches.outputs.new_stable_tag }}
-          # Push the changes and tag to the stable branch using PAT
-          git push origin ${{ steps.list-branches.outputs.stable }}
-          git push origin ${{ steps.list-branches.outputs.new_stable_tag }}

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

@@ -12,8 +12,7 @@ on:
 
 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 }}"]
+    runs-on: Amd64
 
     # fetch-depth 0 is required for helm/chart-testing-action
     steps:

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

@@ -3,21 +3,18 @@ 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
-      uses: actions/checkout@v4
+      uses: actions/checkout@v3
 
     - name: Set up Python
-      uses: actions/setup-python@v5
+      uses: actions/setup-python@v4
       with:
         python-version: '3.11'
         cache: 'pip'

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

@@ -15,14 +15,10 @@ env:
   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 }}"]
+    runs-on: ubuntu-latest
 
     env:
       PYTHONPATH: ./backend
@@ -32,7 +28,7 @@ jobs:
         uses: actions/checkout@v4
 
       - name: Set up Python
-        uses: actions/setup-python@v5
+        uses: actions/setup-python@v4
         with:
           python-version: "3.11"
           cache: "pip"

.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@v5
-        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

@@ -3,14 +3,11 @@ 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
@@ -21,7 +18,7 @@ jobs:
       uses: actions/checkout@v4
 
     - name: Set up Python
-      uses: actions/setup-python@v5
+      uses: actions/setup-python@v4
       with:
         python-version: '3.11'
         cache: 'pip'

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

@@ -1,6 +1,6 @@
 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:
@@ -9,8 +9,7 @@ on:
 
 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:
@@ -18,6 +17,6 @@ jobs:
       - uses: actions/setup-python@v5
         with:
           python-version: "3.11"
-      - uses: pre-commit/action@v3.0.1
+      - 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) || '' }}

.github/workflows/run-it.yml

@@ -0,0 +1,161 @@
+name: Run Integration Tests
+concurrency:
+  group: Run-Integration-Tests-${{ github.head_ref }}
+  cancel-in-progress: true
+
+on:
+  merge_group:
+  pull_request:
+    branches: [ main ]
+
+env:
+  OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }}
+
+jobs:
+  integration-tests:
+    runs-on: Amd64
+    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 }}
+
+      # NOTE: we don't need to build the Web Docker image since it's not used
+      # during the IT for now. We have a separate action to verify it builds 
+      # succesfully
+      - name: Pull Web Docker image
+        run: |
+          docker pull danswer/danswer-web-server:latest
+          docker tag danswer/danswer-web-server:latest danswer/danswer-web-server:it
+
+      - 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:it
+          cache-from: type=registry,ref=danswer/danswer-backend:it
+          cache-to: |
+            type=registry,ref=danswer/danswer-backend:it,mode=max
+            type=inline
+
+      - 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:it
+          cache-from: type=registry,ref=danswer/danswer-model-server:it
+          cache-to: |
+            type=registry,ref=danswer/danswer-model-server:it,mode=max
+            type=inline
+
+      - 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/integration-test-runner:it
+          cache-from: type=registry,ref=danswer/integration-test-runner:it
+          cache-to: |
+            type=registry,ref=danswer/integration-test-runner:it,mode=max
+            type=inline
+
+      - 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=it \
+          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 $response). Retrying in 5 seconds..."
+            fi
+            
+            sleep 5
+          done
+          echo "Finished waiting for service."
+
+      - name: Run integration tests
+        run: |
+          echo "Running integration tests..."
+          docker run --rm --network danswer-stack_default \
+            -e POSTGRES_HOST=relational_db \
+            -e POSTGRES_USER=postgres \
+            -e POSTGRES_PASSWORD=password \
+            -e POSTGRES_DB=postgres \
+            -e VESPA_HOST=index \
+            -e REDIS_HOST=cache \
+            -e API_SERVER_HOST=api_server \
+            -e OPENAI_API_KEY=${OPENAI_API_KEY} \
+            danswer/integration-test-runner:it
+        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/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
-        

.prettierignore

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

.vscode/launch.template.jsonc

@@ -6,69 +6,19 @@
     // For more information, visit: https://go.microsoft.com/fwlink/?linkid=830387
     "version": "0.2.0",
     "compounds": [
-		{
-			// Dummy entry used to label the group
-			"name": "--- Compound ---",
-		  	"configurations": [
-		  		"--- Individual ---"
-		  	],
-			"presentation": {
-				 "group": "1",
-			 }
-		},
         {
             "name": "Run All Danswer Services",
             "configurations": [
                 "Web Server",
                 "Model Server",
                 "API Server",
-                "Slack Bot",
-		  		"Celery primary", 
-		  		"Celery light", 
-		  		"Celery heavy", 
-		  		"Celery indexing", 
-		  		"Celery beat",
-            ],
-			"presentation": {
-				 "group": "1",
-			 }
-        },
-		{
-			"name": "Web / Model / API",
-		  	"configurations": [
-		  		"Web Server", 
-		  		"Model Server", 
-		  		"API Server",
-		  	],
-			"presentation": {
-				 "group": "1",
-			 }
-		},
-		{
-			"name": "Celery (all)",
-		  	"configurations": [
-		  		"Celery primary", 
-		  		"Celery light", 
-		  		"Celery heavy", 
-		  		"Celery indexing", 
-		  		"Celery beat"
-		  	],
-			"presentation": {
-				 "group": "1",
-			 }
-		}
+                "Indexing",
+                "Background Jobs",
+                "Slack Bot"
+            ]
+        }
     ],
     "configurations": [
-		{
-	    	// Dummy entry used to label the group
-			"name": "--- Individual ---",
-			"type": "node",
-			"request": "launch",
-			"presentation": {
-				"group": "2",
-				"order": 0
-			}
-		},
         {
             "name": "Web Server",
             "type": "node",
@@ -79,11 +29,7 @@
             "runtimeArgs": [
                 "run", "dev"
             ],
-            "presentation": {
-				 "group": "2",
-			 },
-            "console": "integratedTerminal",
-            "consoleTitle": "Web Server Console"
+            "console": "integratedTerminal"
         },
         {
             "name": "Model Server",
@@ -102,11 +48,7 @@
                 "--reload",
                 "--port",
                 "9000"
-            ],
-            "presentation": {
-				 "group": "2",
-			},
-            "consoleTitle": "Model Server Console"
+            ]
         },
         {
             "name": "API Server",
@@ -126,13 +68,43 @@
                 "--reload",
                 "--port",
                 "8080"
-            ],
-            "presentation": {
-				 "group": "2",
-			 },
-            "consoleTitle": "API Server Console"
+            ]
         },
-        // For the listener to access the Slack API,
+        {
+            "name": "Indexing",
+            "consoleName": "Indexing",
+            "type": "debugpy",
+            "request": "launch",
+            "program": "danswer/background/update.py",
+            "cwd": "${workspaceFolder}/backend",
+            "envFile": "${workspaceFolder}/.vscode/.env",
+            "env": {
+                "ENABLE_MULTIPASS_INDEXING": "false",
+                "LOG_LEVEL": "DEBUG",
+                "PYTHONUNBUFFERED": "1",
+                "PYTHONPATH": "."
+            }
+        },
+        // 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",
+            "request": "launch",
+            "program": "scripts/dev_run_background_jobs.py",
+            "cwd": "${workspaceFolder}/backend",
+            "envFile": "${workspaceFolder}/.vscode/.env",
+            "env": {
+                "LOG_DANSWER_MODEL_INTERACTIONS": "True",
+                "LOG_LEVEL": "DEBUG",
+                "PYTHONUNBUFFERED": "1",
+                "PYTHONPATH": "."
+            },
+            "args": [
+                "--no-indexing"
+            ]
+        },
+        // For the listner to access the Slack API,
         // 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",
@@ -146,151 +118,7 @@
                 "LOG_LEVEL": "DEBUG",
                 "PYTHONUNBUFFERED": "1",
                 "PYTHONPATH": "."
-            },
-            "presentation": {
-				 "group": "2",
-			},
-            "consoleTitle": "Slack Bot Console"
-        },
-        {
-            "name": "Celery primary",
-            "type": "debugpy",
-            "request": "launch",
-            "module": "celery",
-            "cwd": "${workspaceFolder}/backend",
-            "envFile": "${workspaceFolder}/.vscode/.env",
-            "env": {
-                "LOG_LEVEL": "INFO",
-                "PYTHONUNBUFFERED": "1",
-                "PYTHONPATH": "."
-            },
-            "args": [
-                "-A",
-                "danswer.background.celery.versioned_apps.primary",
-                "worker",
-                "--pool=threads",
-                "--concurrency=4",
-                "--prefetch-multiplier=1",
-                "--loglevel=INFO",
-                "--hostname=primary@%n",
-                "-Q",
-                "celery",
-            ],
-            "presentation": {
-				 "group": "2",
-			 },
-            "consoleTitle": "Celery primary Console"
-        },
-        {
-            "name": "Celery light",
-            "type": "debugpy",
-            "request": "launch",
-            "module": "celery",
-            "cwd": "${workspaceFolder}/backend",
-            "envFile": "${workspaceFolder}/.vscode/.env",
-            "env": {
-                "LOG_LEVEL": "INFO",
-                "PYTHONUNBUFFERED": "1",
-                "PYTHONPATH": "."
-            },
-            "args": [
-                "-A",
-                "danswer.background.celery.versioned_apps.light",
-                "worker",
-                "--pool=threads",
-                "--concurrency=64",
-                "--prefetch-multiplier=8",
-                "--loglevel=INFO",
-                "--hostname=light@%n",
-                "-Q",
-                "vespa_metadata_sync,connector_deletion",
-            ],
-            "presentation": {
-				 "group": "2",
-			 },
-            "consoleTitle": "Celery light Console"
-        },
-        {
-            "name": "Celery heavy",
-            "type": "debugpy",
-            "request": "launch",
-            "module": "celery",
-            "cwd": "${workspaceFolder}/backend",
-            "envFile": "${workspaceFolder}/.vscode/.env",
-            "env": {
-                "LOG_LEVEL": "INFO",
-                "PYTHONUNBUFFERED": "1",
-                "PYTHONPATH": "."
-            },
-            "args": [
-                "-A",
-                "danswer.background.celery.versioned_apps.heavy",
-                "worker",
-                "--pool=threads",
-                "--concurrency=4",
-                "--prefetch-multiplier=1",
-                "--loglevel=INFO",
-                "--hostname=heavy@%n",
-                "-Q",
-                "connector_pruning",
-            ],
-            "presentation": {
-				 "group": "2",
-			 },
-            "consoleTitle": "Celery heavy Console"
-        },
-        {
-            "name": "Celery indexing",
-            "type": "debugpy",
-            "request": "launch",
-            "module": "celery",
-            "cwd": "${workspaceFolder}/backend",
-            "envFile": "${workspaceFolder}/.vscode/.env",
-            "env": {
-                "ENABLE_MULTIPASS_INDEXING": "false",
-                "LOG_LEVEL": "DEBUG",
-                "PYTHONUNBUFFERED": "1",
-                "PYTHONPATH": "."
-            },
-            "args": [
-                "-A",
-                "danswer.background.celery.versioned_apps.indexing",
-                "worker",
-                "--pool=threads",
-                "--concurrency=1",
-                "--prefetch-multiplier=1",
-                "--loglevel=INFO",
-                "--hostname=indexing@%n",
-                "-Q",
-                "connector_indexing",
-            ],
-            "presentation": {
-				 "group": "2",
-			 },
-            "consoleTitle": "Celery indexing Console"
-        },
-        {
-            "name": "Celery beat",
-            "type": "debugpy",
-            "request": "launch",
-            "module": "celery",
-            "cwd": "${workspaceFolder}/backend",
-            "envFile": "${workspaceFolder}/.vscode/.env",
-            "env": {
-                "LOG_LEVEL": "DEBUG",
-                "PYTHONUNBUFFERED": "1",
-                "PYTHONPATH": "."
-            },
-            "args": [
-                "-A",
-                "danswer.background.celery.versioned_apps.beat",
-                "beat",
-                "--loglevel=INFO",
-            ],
-            "presentation": {
-				 "group": "2",
-			 },
-            "consoleTitle": "Celery beat Console"
+            }
         },
         {
             "name": "Pytest",
@@ -309,22 +137,8 @@
                 "-v"
                 // Specify a sepcific module/test to run or provide nothing to run all tests
                 //"tests/unit/danswer/llm/answering/test_prune_and_merge.py"
-            ],
-            "presentation": {
-				 "group": "2",
-			 },
-            "consoleTitle": "Pytest Console"
+            ]
         },
-		{
-	    	// Dummy entry used to label the group
-			"name": "--- Tasks ---",
-			"type": "node",
-			"request": "launch",
-			"presentation": {
-				"group": "3",
-				"order": 0
-			}
-		},
         {
             "name": "Clear and Restart External Volumes and Containers",
             "type": "node",
@@ -333,27 +147,7 @@
             "runtimeArgs": ["${workspaceFolder}/backend/scripts/restart_containers.sh"],
             "cwd": "${workspaceFolder}",
             "console": "integratedTerminal",
-            "stopOnEntry": true,
-            "presentation": {
-				 "group": "3",
-			 },
-        },
-        {
-	        // Celery jobs launched through a single background script (legacy)
-	        // Recommend using the "Celery (all)" compound launch instead.
-            "name": "Background Jobs",
-            "consoleName": "Background Jobs",
-            "type": "debugpy",
-            "request": "launch",
-            "program": "scripts/dev_run_background_jobs.py",
-            "cwd": "${workspaceFolder}/backend",
-            "envFile": "${workspaceFolder}/.vscode/.env",
-            "env": {
-                "LOG_DANSWER_MODEL_INTERACTIONS": "True",
-                "LOG_LEVEL": "DEBUG",
-                "PYTHONUNBUFFERED": "1",
-                "PYTHONPATH": "."
-            },
-        },
+            "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. 
 
 

README.md

@@ -68,13 +68,13 @@ We also have built-in support for deployment on Kubernetes. Files for that can b
 
 ## 🚧 Roadmap
 * Chat/Prompt sharing with specific teammates and user groups.
-* Multimodal model support, chat with images, video etc.
+* Multi-Model model support, chat with images, video etc.
 * Choosing between LLMs and parameters during chat session.
 * Tool calling and agent configurations options.
 * Organizational understanding and ability to locate and suggest experts from your team.
 
 
-## Other Notable Benefits of Danswer
+## Other Noteable Benefits of Danswer
 * User Authentication with document level access management.
 * Best in class Hybrid Search across all sources (BM-25 + prefix aware embedding models).
 * Admin Dashboard to configure connectors, document-sets, access, etc.

backend/Dockerfile

@@ -8,11 +8,10 @@ Edition features outside of personal development or testing purposes. Please rea
 founders@danswer.ai for more information. Please visit https://github.com/danswer-ai/danswer"
 
 # Default DANSWER_VERSION, typically overriden during builds by GitHub Actions.
-ARG DANSWER_VERSION=0.8-dev
+ARG DANSWER_VERSION=0.3-dev
 ENV DANSWER_VERSION=${DANSWER_VERSION} \
     DANSWER_RUNNING_IN_DOCKER="true"
 
-
 RUN echo "DANSWER_VERSION: ${DANSWER_VERSION}"
 # Install system dependencies
 # cmake needed for psycopg (postgres)
@@ -37,8 +36,6 @@ RUN apt-get update && \
     rm -rf /var/lib/apt/lists/* && \
     apt-get clean
 
-
-
 # Install Python dependencies
 # Remove py which is pulled in by retry, py is not needed and is a CVE
 COPY ./requirements/default.txt /tmp/requirements.txt
@@ -77,6 +74,7 @@ RUN apt-get update && \
 RUN python -c "from tokenizers import Tokenizer; \
 Tokenizer.from_pretrained('nomic-ai/nomic-embed-text-v1')"
 
+
 # Pre-downloading NLTK for setups with limited egress
 RUN python -c "import nltk; \
 nltk.download('stopwords', quiet=True); \
@@ -94,18 +92,16 @@ COPY supervisord.conf /etc/supervisor/conf.d/supervisord.conf
 COPY ./danswer /app/danswer
 COPY ./shared_configs /app/shared_configs
 COPY ./alembic /app/alembic
-COPY ./alembic_tenants /app/alembic_tenants
 COPY ./alembic.ini /app/alembic.ini
 COPY supervisord.conf /usr/etc/supervisord.conf
 
 # Escape hatch
 COPY ./scripts/force_delete_connector_by_id.py /app/scripts/force_delete_connector_by_id.py
-COPY ./scripts/initialize_ca_cert.py /app/scripts/initialize_ca_cert.py
 
 # Put logo in assets
 COPY ./assets /app/assets
 
-ENV PYTHONPATH=/app
+ENV PYTHONPATH /app
 
 # Default command which does nothing
 # This container is used by api server and background which specify their own CMD

backend/Dockerfile.model_server

@@ -7,7 +7,7 @@ You can find it at https://hub.docker.com/r/danswer/danswer-model-server. For mo
 visit https://github.com/danswer-ai/danswer."
 
 # Default DANSWER_VERSION, typically overriden during builds by GitHub Actions.
-ARG DANSWER_VERSION=0.8-dev
+ARG DANSWER_VERSION=0.3-dev
 ENV DANSWER_VERSION=${DANSWER_VERSION} \
     DANSWER_RUNNING_IN_DOCKER="true"
 
@@ -55,6 +55,6 @@ COPY ./shared_configs /app/shared_configs
 # Model Server main code
 COPY ./model_server /app/model_server
 
-ENV PYTHONPATH=/app
+ENV PYTHONPATH /app
 
 CMD ["uvicorn", "model_server.main:app", "--host", "0.0.0.0", "--port", "9000"]

backend/alembic.ini

@@ -1,6 +1,6 @@
 # A generic, single database configuration.
 
-[DEFAULT]
+[alembic]
 # path to migration scripts
 script_location = alembic
 
@@ -47,8 +47,7 @@ prepend_sys_path = .
 # version_path_separator = :
 # version_path_separator = ;
 # version_path_separator = space
-version_path_separator = os  
-# Use os.pathsep. Default configuration used for new projects.
+version_path_separator = os  # Use os.pathsep. Default configuration used for new projects.
 
 # set to 'true' to search source files recursively
 # in each "version_locations" directory
@@ -107,12 +106,3 @@ formatter = generic
 [formatter_generic]
 format = %(levelname)-5.5s [%(name)s] %(message)s
 datefmt = %H:%M:%S
-
-
-[alembic]
-script_location = alembic
-version_locations = %(script_location)s/versions
-
-[schema_private]
-script_location = alembic_tenants
-version_locations = %(script_location)s/versions

backend/alembic/env.py

@@ -1,203 +1,107 @@
-from sqlalchemy.engine.base import Connection
-from typing import Any
 import asyncio
 from logging.config import fileConfig
-import logging
 
 from alembic import context
-from sqlalchemy import pool
-from sqlalchemy.ext.asyncio import create_async_engine
-from sqlalchemy.sql import text
-
-from shared_configs.configs import MULTI_TENANT
 from danswer.db.engine import build_connection_string
 from danswer.db.models import Base
+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 danswer.db.engine import get_all_tenant_ids
-from shared_configs.configs import POSTGRES_DEFAULT_SCHEMA
+from sqlalchemy.schema import SchemaItem
 
-# 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
 ):
     fileConfig(config.config_file_name)
 
-# Add your model's MetaData object here for 'autogenerate' support
+# 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]
 
+# 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.
+
 EXCLUDE_TABLES = {"kombu_queue", "kombu_message"}
 
-# Set up logging
-logger = logging.getLogger(__name__)
-
 
 def include_object(
-    object: Any, name: str, type_: str, reflected: bool, compare_to: Any
+    object: SchemaItem,
+    name: str,
+    type_: str,
+    reflected: bool,
+    compare_to: SchemaItem | None,
 ) -> bool:
-    """
-    Determines whether a database object should be included in migrations.
-    Excludes specified tables from migrations.
-    """
     if type_ == "table" and name in EXCLUDE_TABLES:
         return False
     return True
 
 
-def get_schema_options() -> tuple[str, bool, bool]:
+def run_migrations_offline() -> None:
+    """Run migrations in 'offline' mode.
+
+    This configures the context with just a URL
+    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.
+
     """
-    Parses command-line options passed via '-x' in Alembic commands.
-    Recognizes 'schema', 'create_schema', and 'upgrade_all_tenants' options.
-    """
-    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.strip()] = value.strip()
-    schema_name = x_args.get("schema", POSTGRES_DEFAULT_SCHEMA)
-    create_schema = x_args.get("create_schema", "true").lower() == "true"
-    upgrade_all_tenants = x_args.get("upgrade_all_tenants", "false").lower() == "true"
-
-    if (
-        MULTI_TENANT
-        and schema_name == POSTGRES_DEFAULT_SCHEMA
-        and not upgrade_all_tenants
-    ):
-        raise ValueError(
-            "Cannot run default migrations in public schema when multi-tenancy is enabled. "
-            "Please specify a tenant-specific schema."
-        )
-
-    return schema_name, create_schema, upgrade_all_tenants
-
-
-def do_run_migrations(
-    connection: Connection, schema_name: str, create_schema: bool
-) -> None:
-    """
-    Executes migrations in the specified schema.
-    """
-    logger.info(f"About to migrate schema: {schema_name}")
-
-    if create_schema:
-        connection.execute(text(f'CREATE SCHEMA IF NOT EXISTS "{schema_name}"'))
-        connection.execute(text("COMMIT"))
-
-    # Set search_path to the target schema
-    connection.execute(text(f'SET search_path TO "{schema_name}"'))
-
+    url = build_connection_string()
     context.configure(
-        connection=connection,
+        url=url,
         target_metadata=target_metadata,  # type: ignore
-        include_object=include_object,
-        version_table_schema=schema_name,
-        include_schemas=True,
-        compare_type=True,
-        compare_server_default=True,
-        script_location=config.get_main_option("script_location"),
+        literal_binds=True,
+        dialect_opts={"paramstyle": "named"},
     )
 
     with context.begin_transaction():
         context.run_migrations()
 
 
-async def run_async_migrations() -> None:
-    """
-    Determines whether to run migrations for a single schema or all schemas,
-    and executes migrations accordingly.
-    """
-    schema_name, create_schema, upgrade_all_tenants = get_schema_options()
+def do_run_migrations(connection: Connection) -> None:
+    context.configure(
+        connection=connection,
+        target_metadata=target_metadata,  # type: ignore
+        include_object=include_object,
+    )  # type: ignore
 
-    engine = create_async_engine(
+    with context.begin_transaction():
+        context.run_migrations()
+
+
+async def run_async_migrations() -> None:
+    """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,
     )
 
-    if upgrade_all_tenants:
-        # Run migrations for all tenant schemas sequentially
-        tenant_schemas = get_all_tenant_ids()
+    async with connectable.connect() as connection:
+        await connection.run_sync(do_run_migrations)
 
-        for schema in tenant_schemas:
-            try:
-                logger.info(f"Migrating schema: {schema}")
-                async with engine.connect() as connection:
-                    await connection.run_sync(
-                        do_run_migrations,
-                        schema_name=schema,
-                        create_schema=create_schema,
-                    )
-            except Exception as e:
-                logger.error(f"Error migrating schema {schema}: {e}")
-                raise
-    else:
-        try:
-            logger.info(f"Migrating schema: {schema_name}")
-            async with engine.connect() as connection:
-                await connection.run_sync(
-                    do_run_migrations,
-                    schema_name=schema_name,
-                    create_schema=create_schema,
-                )
-        except Exception as e:
-            logger.error(f"Error migrating schema {schema_name}: {e}")
-            raise
-
-    await engine.dispose()
-
-
-def run_migrations_offline() -> None:
-    """
-    Run migrations in 'offline' mode.
-    """
-    schema_name, _, upgrade_all_tenants = get_schema_options()
-    url = build_connection_string()
-
-    if upgrade_all_tenants:
-        # Run offline migrations for all tenant schemas
-        engine = create_async_engine(url)
-        tenant_schemas = get_all_tenant_ids()
-        engine.sync_engine.dispose()
-
-        for schema in tenant_schemas:
-            logger.info(f"Migrating schema: {schema}")
-            context.configure(
-                url=url,
-                target_metadata=target_metadata,  # type: ignore
-                literal_binds=True,
-                include_object=include_object,
-                version_table_schema=schema,
-                include_schemas=True,
-                script_location=config.get_main_option("script_location"),
-                dialect_opts={"paramstyle": "named"},
-            )
-
-            with context.begin_transaction():
-                context.run_migrations()
-    else:
-        logger.info(f"Migrating schema: {schema_name}")
-        context.configure(
-            url=url,
-            target_metadata=target_metadata,  # type: ignore
-            literal_binds=True,
-            include_object=include_object,
-            version_table_schema=schema_name,
-            include_schemas=True,
-            script_location=config.get_main_option("script_location"),
-            dialect_opts={"paramstyle": "named"},
-        )
-
-        with context.begin_transaction():
-            context.run_migrations()
+    await connectable.dispose()
 
 
 def run_migrations_online() -> None:
-    """
-    Runs migrations in 'online' mode using an asynchronous engine.
-    """
+    """Run migrations in 'online' mode."""
+
     asyncio.run(run_async_migrations())
 
 

backend/alembic/versions/1b10e1fda030_add_additional_data_to_notifications.py

@@ -1,26 +0,0 @@
-"""add additional data to notifications
-
-Revision ID: 1b10e1fda030
-Revises: 6756efa39ada
-Create Date: 2024-10-15 19:26:44.071259
-
-"""
-from alembic import op
-import sqlalchemy as sa
-from sqlalchemy.dialects import postgresql
-
-# revision identifiers, used by Alembic.
-revision = "1b10e1fda030"
-down_revision = "6756efa39ada"
-branch_labels = None
-depends_on = None
-
-
-def upgrade() -> None:
-    op.add_column(
-        "notification", sa.Column("additional_data", postgresql.JSONB(), nullable=True)
-    )
-
-
-def downgrade() -> None:
-    op.drop_column("notification", "additional_data")

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/5d12a446f5c0_add_api_version_and_deployment_name_to_.py

@@ -1,30 +0,0 @@
-"""add api_version and deployment_name to search settings
-
-Revision ID: 5d12a446f5c0
-Revises: e4334d5b33ba
-Create Date: 2024-10-08 15:56:07.975636
-
-"""
-from alembic import op
-import sqlalchemy as sa
-
-
-# revision identifiers, used by Alembic.
-revision = "5d12a446f5c0"
-down_revision = "e4334d5b33ba"
-branch_labels = None
-depends_on = None
-
-
-def upgrade() -> None:
-    op.add_column(
-        "embedding_provider", sa.Column("api_version", sa.String(), nullable=True)
-    )
-    op.add_column(
-        "embedding_provider", sa.Column("deployment_name", sa.String(), nullable=True)
-    )
-
-
-def downgrade() -> None:
-    op.drop_column("embedding_provider", "deployment_name")
-    op.drop_column("embedding_provider", "api_version")

backend/alembic/versions/6756efa39ada_id_uuid_for_chat_session.py

@@ -1,153 +0,0 @@
-"""Migrate chat_session and chat_message tables to use UUID primary keys
-
-Revision ID: 6756efa39ada
-Revises: 5d12a446f5c0
-Create Date: 2024-10-15 17:47:44.108537
-
-"""
-from alembic import op
-import sqlalchemy as sa
-
-revision = "6756efa39ada"
-down_revision = "5d12a446f5c0"
-branch_labels = None
-depends_on = None
-
-"""
-This script:
-1. Adds UUID columns to chat_session and chat_message
-2. Populates new columns with UUIDs
-3. Updates foreign key relationships
-4. Removes old integer ID columns
-
-Note: Downgrade will assign new integer IDs, not restore original ones.
-"""
-
-
-def upgrade() -> None:
-    op.execute("CREATE EXTENSION IF NOT EXISTS pgcrypto;")
-
-    op.add_column(
-        "chat_session",
-        sa.Column(
-            "new_id",
-            sa.UUID(as_uuid=True),
-            server_default=sa.text("gen_random_uuid()"),
-            nullable=False,
-        ),
-    )
-
-    op.execute("UPDATE chat_session SET new_id = gen_random_uuid();")
-
-    op.add_column(
-        "chat_message",
-        sa.Column("new_chat_session_id", sa.UUID(as_uuid=True), nullable=True),
-    )
-
-    op.execute(
-        """
-        UPDATE chat_message
-        SET new_chat_session_id = cs.new_id
-        FROM chat_session cs
-        WHERE chat_message.chat_session_id = cs.id;
-        """
-    )
-
-    op.drop_constraint(
-        "chat_message_chat_session_id_fkey", "chat_message", type_="foreignkey"
-    )
-
-    op.drop_column("chat_message", "chat_session_id")
-    op.alter_column(
-        "chat_message", "new_chat_session_id", new_column_name="chat_session_id"
-    )
-
-    op.drop_constraint("chat_session_pkey", "chat_session", type_="primary")
-    op.drop_column("chat_session", "id")
-    op.alter_column("chat_session", "new_id", new_column_name="id")
-
-    op.create_primary_key("chat_session_pkey", "chat_session", ["id"])
-
-    op.create_foreign_key(
-        "chat_message_chat_session_id_fkey",
-        "chat_message",
-        "chat_session",
-        ["chat_session_id"],
-        ["id"],
-        ondelete="CASCADE",
-    )
-
-
-def downgrade() -> None:
-    op.drop_constraint(
-        "chat_message_chat_session_id_fkey", "chat_message", type_="foreignkey"
-    )
-
-    op.add_column(
-        "chat_session",
-        sa.Column("old_id", sa.Integer, autoincrement=True, nullable=True),
-    )
-
-    op.execute("CREATE SEQUENCE chat_session_old_id_seq OWNED BY chat_session.old_id;")
-    op.execute(
-        "ALTER TABLE chat_session ALTER COLUMN old_id SET DEFAULT nextval('chat_session_old_id_seq');"
-    )
-
-    op.execute(
-        "UPDATE chat_session SET old_id = nextval('chat_session_old_id_seq') WHERE old_id IS NULL;"
-    )
-
-    op.alter_column("chat_session", "old_id", nullable=False)
-
-    op.drop_constraint("chat_session_pkey", "chat_session", type_="primary")
-    op.create_primary_key("chat_session_pkey", "chat_session", ["old_id"])
-
-    op.add_column(
-        "chat_message",
-        sa.Column("old_chat_session_id", sa.Integer, nullable=True),
-    )
-
-    op.execute(
-        """
-        UPDATE chat_message
-        SET old_chat_session_id = cs.old_id
-        FROM chat_session cs
-        WHERE chat_message.chat_session_id = cs.id;
-        """
-    )
-
-    op.drop_column("chat_message", "chat_session_id")
-    op.alter_column(
-        "chat_message", "old_chat_session_id", new_column_name="chat_session_id"
-    )
-
-    op.create_foreign_key(
-        "chat_message_chat_session_id_fkey",
-        "chat_message",
-        "chat_session",
-        ["chat_session_id"],
-        ["old_id"],
-        ondelete="CASCADE",
-    )
-
-    op.drop_column("chat_session", "id")
-    op.alter_column("chat_session", "old_id", new_column_name="id")
-
-    op.alter_column(
-        "chat_session",
-        "id",
-        type_=sa.Integer(),
-        existing_type=sa.Integer(),
-        existing_nullable=False,
-        existing_server_default=False,
-    )
-
-    # Rename the sequence
-    op.execute("ALTER SEQUENCE chat_session_old_id_seq RENAME TO chat_session_id_seq;")
-
-    # Update the default value to use the renamed sequence
-    op.alter_column(
-        "chat_session",
-        "id",
-        server_default=sa.text("nextval('chat_session_id_seq'::regclass)"),
-    )

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/949b4a92a401_remove_rt.py

@@ -1,74 +0,0 @@
-"""remove rt
-
-Revision ID: 949b4a92a401
-Revises: 1b10e1fda030
-Create Date: 2024-10-26 13:06:06.937969
-
-"""
-from alembic import op
-from sqlalchemy.orm import Session
-
-# Import your models and constants
-from danswer.db.models import (
-    Connector,
-    ConnectorCredentialPair,
-    Credential,
-    IndexAttempt,
-)
-from danswer.configs.constants import DocumentSource
-
-
-# revision identifiers, used by Alembic.
-revision = "949b4a92a401"
-down_revision = "1b10e1fda030"
-branch_labels = None
-depends_on = None
-
-
-def upgrade() -> None:
-    # Deletes all RequestTracker connectors and associated data
-    bind = op.get_bind()
-    session = Session(bind=bind)
-
-    connectors_to_delete = (
-        session.query(Connector)
-        .filter(Connector.source == DocumentSource.REQUESTTRACKER)
-        .all()
-    )
-
-    connector_ids = [connector.id for connector in connectors_to_delete]
-
-    if connector_ids:
-        cc_pairs_to_delete = (
-            session.query(ConnectorCredentialPair)
-            .filter(ConnectorCredentialPair.connector_id.in_(connector_ids))
-            .all()
-        )
-
-        cc_pair_ids = [cc_pair.id for cc_pair in cc_pairs_to_delete]
-
-        if cc_pair_ids:
-            session.query(IndexAttempt).filter(
-                IndexAttempt.connector_credential_pair_id.in_(cc_pair_ids)
-            ).delete(synchronize_session=False)
-
-            session.query(ConnectorCredentialPair).filter(
-                ConnectorCredentialPair.id.in_(cc_pair_ids)
-            ).delete(synchronize_session=False)
-
-        credential_ids = [cc_pair.credential_id for cc_pair in cc_pairs_to_delete]
-        if credential_ids:
-            session.query(Credential).filter(Credential.id.in_(credential_ids)).delete(
-                synchronize_session=False
-            )
-
-        session.query(Connector).filter(Connector.id.in_(connector_ids)).delete(
-            synchronize_session=False
-        )
-
-    session.commit()
-
-
-def downgrade() -> None:
-    # No-op downgrade as we cannot restore deleted data
-    pass

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

@@ -31,12 +31,6 @@ def upgrade() -> None:
 
 
 def downgrade() -> None:
-    # First, update any null values to a default value
-    op.execute(
-        "UPDATE connector_credential_pair SET last_attempt_status = 'NOT_STARTED' WHERE last_attempt_status IS NULL"
-    )
-
-    # Then, make the column non-nullable
     op.alter_column(
         "connector_credential_pair",
         "last_attempt_status",

backend/alembic/versions/da4c21c69164_chosen_assistants_changed_to_jsonb.py

@@ -20,7 +20,7 @@ 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 "user"')
+        sa.text("select id, chosen_assistants from public.user")
     )
     op.drop_column(
         "user",
@@ -37,7 +37,7 @@ def upgrade() -> None:
     for id, chosen_assistants in existing_ids_and_chosen_assistants:
         conn.execute(
             sa.text(
-                'update "user" set chosen_assistants = :chosen_assistants where id = :id'
+                "update public.user set chosen_assistants = :chosen_assistants where id = :id"
             ),
             {"chosen_assistants": json.dumps(chosen_assistants), "id": id},
         )
@@ -46,7 +46,7 @@ def upgrade() -> None:
 def downgrade() -> None:
     conn = op.get_bind()
     existing_ids_and_chosen_assistants = conn.execute(
-        sa.text('select id, chosen_assistants from "user"')
+        sa.text("select id, chosen_assistants from public.user")
     )
     op.drop_column(
         "user",
@@ -59,7 +59,7 @@ def downgrade() -> None:
     for id, chosen_assistants in existing_ids_and_chosen_assistants:
         conn.execute(
             sa.text(
-                'update "user" set chosen_assistants = :chosen_assistants where id = :id'
+                "update public.user set chosen_assistants = :chosen_assistants where id = :id"
             ),
             {"chosen_assistants": chosen_assistants, "id": id},
         )

backend/alembic/versions/e4334d5b33ba_add_deployment_name_to_llmprovider.py

@@ -1,26 +0,0 @@
-"""add_deployment_name_to_llmprovider
-
-Revision ID: e4334d5b33ba
-Revises: ac5eaac849f9
-Create Date: 2024-10-04 09:52:34.896867
-
-"""
-from alembic import op
-import sqlalchemy as sa
-
-
-# revision identifiers, used by Alembic.
-revision = "e4334d5b33ba"
-down_revision = "ac5eaac849f9"
-branch_labels = None
-depends_on = None
-
-
-def upgrade() -> None:
-    op.add_column(
-        "llm_provider", sa.Column("deployment_name", sa.String(), nullable=True)
-    )
-
-
-def downgrade() -> None:
-    op.drop_column("llm_provider", "deployment_name")

backend/alembic_tenants/README.md

@@ -1,3 +0,0 @@
-These files are for public table migrations when operating with multi tenancy.
-
-If you are not a Danswer developer, you can ignore this directory entirely.

backend/alembic_tenants/env.py

@@ -1,111 +0,0 @@
-import asyncio
-from logging.config import fileConfig
-
-from sqlalchemy import pool
-from sqlalchemy.engine import Connection
-from sqlalchemy.ext.asyncio import create_async_engine
-from sqlalchemy.schema import SchemaItem
-
-from alembic import context
-from danswer.db.engine import build_connection_string
-from danswer.db.models import PublicBase
-
-# 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
-):
-    fileConfig(config.config_file_name)
-
-# add your model's MetaData object here
-# for 'autogenerate' support
-# from myapp import mymodel
-# target_metadata = mymodel.Base.metadata
-target_metadata = [PublicBase.metadata]
-
-# 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.
-
-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
-
-
-def run_migrations_offline() -> None:
-    """Run migrations in 'offline' mode.
-
-    This configures the context with just a URL
-    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()
-    context.configure(
-        url=url,
-        target_metadata=target_metadata,  # type: ignore
-        literal_binds=True,
-        dialect_opts={"paramstyle": "named"},
-    )
-
-    with context.begin_transaction():
-        context.run_migrations()
-
-
-def do_run_migrations(connection: Connection) -> None:
-    context.configure(
-        connection=connection,
-        target_metadata=target_metadata,  # type: ignore
-        include_object=include_object,
-    )  # type: ignore
-
-    with context.begin_transaction():
-        context.run_migrations()
-
-
-async def run_async_migrations() -> None:
-    """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,
-    )
-
-    async with connectable.connect() as connection:
-        await connection.run_sync(do_run_migrations)
-
-    await connectable.dispose()
-
-
-def run_migrations_online() -> None:
-    """Run migrations in 'online' mode."""
-
-    asyncio.run(run_async_migrations())
-
-
-if context.is_offline_mode():
-    run_migrations_offline()
-else:
-    run_migrations_online()

backend/alembic_tenants/script.py.mako

@@ -1,24 +0,0 @@
-"""${message}
-
-Revision ID: ${up_revision}
-Revises: ${down_revision | comma,n}
-Create Date: ${create_date}
-
-"""
-from alembic import op
-import sqlalchemy as sa
-${imports if imports else ""}
-
-# revision identifiers, used by Alembic.
-revision = ${repr(up_revision)}
-down_revision = ${repr(down_revision)}
-branch_labels = ${repr(branch_labels)}
-depends_on = ${repr(depends_on)}
-
-
-def upgrade() -> None:
-    ${upgrades if upgrades else "pass"}
-
-
-def downgrade() -> None:
-    ${downgrades if downgrades else "pass"}

backend/alembic_tenants/versions/14a83a331951_create_usertenantmapping_table.py

@@ -1,24 +0,0 @@
-import sqlalchemy as sa
-
-from alembic import op
-
-# revision identifiers, used by Alembic.
-revision = "14a83a331951"
-down_revision = None
-branch_labels = None
-depends_on = None
-
-
-def upgrade() -> None:
-    op.create_table(
-        "user_tenant_mapping",
-        sa.Column("email", sa.String(), nullable=False),
-        sa.Column("tenant_id", sa.String(), nullable=False),
-        sa.UniqueConstraint("email", "tenant_id", name="uq_user_tenant"),
-        sa.UniqueConstraint("email", name="uq_email"),
-        schema="public",
-    )
-
-
-def downgrade() -> None:
-    op.drop_table("user_tenant_mapping", schema="public")

backend/danswer/__init__.py

@@ -1,3 +1,3 @@
 import os
 
-__version__ = os.environ.get("DANSWER_VERSION", "") or "Development"
+__version__ = os.environ.get("DANSWER_VERSION", "") or "0.3-dev"

backend/danswer/access/models.py

@@ -70,12 +70,3 @@ class DocumentAccess(ExternalAccess):
             user_groups=set(user_groups),
             is_public=is_public,
         )
-
-
-default_public_access = DocumentAccess(
-    external_user_emails=set(),
-    external_user_group_ids=set(),
-    user_emails=set(),
-    user_groups=set(),
-    is_public=True,
-)

backend/danswer/auth/invited_users.py

@@ -1,21 +1,20 @@
 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
 
 
 def get_invited_users() -> list[str]:
     try:
-        store = get_kv_store()
-
+        store = get_dynamic_config_store()
         return cast(list, store.load(KV_USER_STORE_KEY))
-    except KvKeyNotFoundError:
+    except ConfigNotFoundError:
         return list()
 
 
 def write_invited_users(emails: list[str]) -> int:
-    store = get_kv_store()
+    store = get_dynamic_config_store()
     store.store(KV_USER_STORE_KEY, cast(JSON_ro, emails))
     return len(emails)

backend/danswer/auth/noauth_user.py

@@ -4,29 +4,29 @@ 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
 
 
 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())
 
 
-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)
         )
         return UserPreferences(**preferences_data)
-    except KvKeyNotFoundError:
+    except ConfigNotFoundError:
         return UserPreferences(chosen_assistants=None, default_model=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

@@ -34,7 +34,6 @@ class UserRead(schemas.BaseUser[uuid.UUID]):
 class UserCreate(schemas.BaseUserCreate):
     role: UserRole = UserRole.BASIC
     has_web_login: bool | None = True
-    tenant_id: str | None = None
 
 
 class UserUpdate(schemas.BaseUserUpdate):

backend/danswer/auth/users.py

@@ -5,23 +5,17 @@ from datetime import datetime
 from datetime import timezone
 from email.mime.multipart import MIMEMultipart
 from email.mime.text import MIMEText
-from typing import Dict
-from typing import List
 from typing import Optional
 from typing import Tuple
 
-import jwt
 from email_validator import EmailNotValidError
-from email_validator import EmailUndeliverableError
 from email_validator import validate_email
 from fastapi import APIRouter
 from fastapi import Depends
 from fastapi import HTTPException
-from fastapi import Query
 from fastapi import Request
 from fastapi import Response
 from fastapi import status
-from fastapi.responses import RedirectResponse
 from fastapi.security import OAuth2PasswordRequestForm
 from fastapi_users import BaseUserManager
 from fastapi_users import exceptions
@@ -31,26 +25,11 @@ from fastapi_users import schemas
 from fastapi_users import UUIDIDMixin
 from fastapi_users.authentication import AuthenticationBackend
 from fastapi_users.authentication import CookieTransport
-from fastapi_users.authentication import JWTStrategy
 from fastapi_users.authentication import Strategy
 from fastapi_users.authentication.strategy.db import AccessTokenDatabase
 from fastapi_users.authentication.strategy.db import DatabaseStrategy
-from fastapi_users.exceptions import UserAlreadyExists
-from fastapi_users.jwt import decode_jwt
-from fastapi_users.jwt import generate_jwt
-from fastapi_users.jwt import SecretType
-from fastapi_users.manager import UserManagerDependency
 from fastapi_users.openapi import OpenAPIResponseType
-from fastapi_users.router.common import ErrorCode
-from fastapi_users.router.common import ErrorModel
 from fastapi_users_db_sqlalchemy import SQLAlchemyUserDatabase
-from httpx_oauth.integrations.fastapi import OAuth2AuthorizeCallback
-from httpx_oauth.oauth2 import BaseOAuth2
-from httpx_oauth.oauth2 import OAuth2Token
-from pydantic import BaseModel
-from sqlalchemy import select
-from sqlalchemy import text
-from sqlalchemy.orm import attributes
 from sqlalchemy.orm import Session
 
 from danswer.auth.invited_users import get_invited_users
@@ -59,7 +38,6 @@ 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 DISABLE_AUTH
-from danswer.configs.app_configs import DISABLE_VERIFICATION
 from danswer.configs.app_configs import EMAIL_FROM
 from danswer.configs.app_configs import REQUIRE_EMAIL_VERIFICATION
 from danswer.configs.app_configs import SESSION_EXPIRE_TIME_SECONDS
@@ -79,24 +57,15 @@ from danswer.db.auth import get_access_token_db
 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.auth import SQLAlchemyUserAdminDB
-from danswer.db.engine import get_async_session_with_tenant
 from danswer.db.engine import get_session
-from danswer.db.engine import get_session_with_tenant
 from danswer.db.engine import get_sqlalchemy_engine
 from danswer.db.models import AccessToken
-from danswer.db.models import OAuthAccount
 from danswer.db.models import User
-from danswer.db.models import UserTenantMapping
 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 shared_configs.configs import CURRENT_TENANT_ID_CONTEXTVAR
-from shared_configs.configs import MULTI_TENANT
-from shared_configs.configs import POSTGRES_DEFAULT_SCHEMA
-
 
 logger = setup_logger()
 
@@ -135,9 +104,7 @@ def get_display_email(email: str | None, space_less: bool = False) -> str:
 def user_needs_to_be_verified() -> bool:
     # all other auth types besides basic should require users to be
     # verified
-    return not DISABLE_VERIFICATION and (
-        AUTH_TYPE != AuthType.BASIC or REQUIRE_EMAIL_VERIFICATION
-    )
+    return AUTH_TYPE != AuthType.BASIC or REQUIRE_EMAIL_VERIFICATION
 
 
 def verify_email_is_invited(email: str) -> None:
@@ -148,10 +115,7 @@ def verify_email_is_invited(email: str) -> None:
     if not email:
         raise PermissionError("Email must be specified")
 
-    try:
-        email_info = validate_email(email)
-    except EmailUndeliverableError:
-        raise PermissionError("Email is not valid")
+    email_info = validate_email(email)  # can raise EmailNotValidError
 
     for email_whitelist in whitelist:
         try:
@@ -169,8 +133,8 @@ def verify_email_is_invited(email: str) -> None:
     raise PermissionError("User not on allowed user whitelist")
 
 
-def verify_email_in_whitelist(email: str, tenant_id: str | None = None) -> None:
-    with get_session_with_tenant(tenant_id) as db_session:
+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)
 
@@ -190,20 +154,6 @@ def verify_email_domain(email: str) -> None:
             )
 
 
-def get_tenant_id_for_email(email: str) -> str:
-    if not MULTI_TENANT:
-        return POSTGRES_DEFAULT_SCHEMA
-    # Implement logic to get tenant_id from the mapping table
-    with Session(get_sqlalchemy_engine()) as db_session:
-        result = db_session.execute(
-            select(UserTenantMapping.tenant_id).where(UserTenantMapping.email == email)
-        )
-        tenant_id = result.scalar_one_or_none()
-    if tenant_id is None:
-        raise exceptions.UserNotExists()
-    return tenant_id
-
-
 def send_user_verification_email(
     user_email: str,
     token: str,
@@ -238,62 +188,35 @@ class UserManager(UUIDIDMixin, BaseUserManager[User, uuid.UUID]):
         safe: bool = False,
         request: Optional[Request] = None,
     ) -> User:
+        verify_email_is_invited(user_create.email)
+        verify_email_domain(user_create.email)
+        if hasattr(user_create, "role"):
+            user_count = await get_user_count()
+            if user_count == 0 or user_create.email in get_default_admin_user_emails():
+                user_create.role = UserRole.ADMIN
+            else:
+                user_create.role = UserRole.BASIC
+        user = None
         try:
-            tenant_id = (
-                get_tenant_id_for_email(user_create.email)
-                if MULTI_TENANT
-                else POSTGRES_DEFAULT_SCHEMA
-            )
-        except exceptions.UserNotExists:
-            raise HTTPException(status_code=401, detail="User not found")
-
-        if not tenant_id:
-            raise HTTPException(
-                status_code=401, detail="User does not belong to an organization"
-            )
-
-        async with get_async_session_with_tenant(tenant_id) as db_session:
-            token = CURRENT_TENANT_ID_CONTEXTVAR.set(tenant_id)
-
-            verify_email_is_invited(user_create.email)
-            verify_email_domain(user_create.email)
-            if MULTI_TENANT:
-                tenant_user_db = SQLAlchemyUserAdminDB(db_session, User, OAuthAccount)
-                self.user_db = tenant_user_db
-                self.database = tenant_user_db
-
-            if hasattr(user_create, "role"):
-                user_count = await get_user_count()
-                if (
-                    user_count == 0
-                    or user_create.email in get_default_admin_user_emails()
-                ):
-                    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()
-
-            CURRENT_TENANT_ID_CONTEXTVAR.reset(token)
-            return user
+            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
 
     async def oauth_callback(
         self: "BaseUserManager[models.UOAP, models.ID]",
@@ -308,118 +231,45 @@ class UserManager(UUIDIDMixin, BaseUserManager[User, uuid.UUID]):
         associate_by_email: bool = False,
         is_verified_by_default: bool = False,
     ) -> models.UOAP:
-        # Get tenant_id from mapping table
-        try:
-            tenant_id = (
-                get_tenant_id_for_email(account_email)
-                if MULTI_TENANT
-                else POSTGRES_DEFAULT_SCHEMA
+        verify_email_in_whitelist(account_email)
+        verify_email_domain(account_email)
+
+        user = await super().oauth_callback(  # type: ignore
+            oauth_name=oauth_name,
+            access_token=access_token,
+            account_id=account_id,
+            account_email=account_email,
+            expires_at=expires_at,
+            refresh_token=refresh_token,
+            request=request,
+            associate_by_email=associate_by_email,
+            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,
+                },
             )
-        except exceptions.UserNotExists:
-            raise HTTPException(status_code=401, detail="User not found")
+            user.is_verified = is_verified_by_default
+            user.has_web_login = True
 
-        if not tenant_id:
-            raise HTTPException(status_code=401, detail="User not found")
-
-        token = None
-        async with get_async_session_with_tenant(tenant_id) as db_session:
-            token = CURRENT_TENANT_ID_CONTEXTVAR.set(tenant_id)
-
-            verify_email_in_whitelist(account_email, tenant_id)
-            verify_email_domain(account_email)
-
-            if MULTI_TENANT:
-                tenant_user_db = SQLAlchemyUserAdminDB(db_session, User, OAuthAccount)
-                self.user_db = tenant_user_db
-                self.database = tenant_user_db  # type: ignore
-
-            oauth_account_dict = {
-                "oauth_name": oauth_name,
-                "access_token": access_token,
-                "account_id": account_id,
-                "account_email": account_email,
-                "expires_at": expires_at,
-                "refresh_token": refresh_token,
-            }
-
-            try:
-                # Attempt to get user by OAuth account
-                user = await self.get_by_oauth_account(oauth_name, account_id)
-
-            except exceptions.UserNotExists:
-                try:
-                    # Attempt to get user by email
-                    user = await self.get_by_email(account_email)
-                    if not associate_by_email:
-                        raise exceptions.UserAlreadyExists()
-
-                    user = await self.user_db.add_oauth_account(
-                        user, oauth_account_dict
-                    )
-
-                    # If user not found by OAuth account or email, create a new user
-                except exceptions.UserNotExists:
-                    password = self.password_helper.generate()
-                    user_dict = {
-                        "email": account_email,
-                        "hashed_password": self.password_helper.hash(password),
-                        "is_verified": is_verified_by_default,
-                    }
-
-                    user = await self.user_db.create(user_dict)
-
-                    # Explicitly set the Postgres schema for this session to ensure
-                    # OAuth account creation happens in the correct tenant schema
-                    await db_session.execute(text(f'SET search_path = "{tenant_id}"'))
-                    user = await self.user_db.add_oauth_account(
-                        user, oauth_account_dict
-                    )
-                    await self.on_after_register(user, request)
-
-            else:
-                for existing_oauth_account in user.oauth_accounts:
-                    if (
-                        existing_oauth_account.account_id == account_id
-                        and existing_oauth_account.oauth_name == oauth_name
-                    ):
-                        user = await self.user_db.update_oauth_account(
-                            user, existing_oauth_account, oauth_account_dict
-                        )
-
-            # 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}
-                )
-
-            # Handle case where user has used product outside of web and is now creating an account through web
-            if not user.has_web_login:  # type: ignore
-                await self.user_db.update(
-                    user,
-                    {
-                        "is_verified": is_verified_by_default,
-                        "has_web_login": True,
-                    },
-                )
-                user.is_verified = is_verified_by_default
-                user.has_web_login = True  # type: ignore
-
-            # 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 is not None  # type: ignore
-                and not TRACK_EXTERNAL_IDP_EXPIRY
-            ):
-                await self.user_db.update(user, {"oidc_expiry": None})
-                user.oidc_expiry = None  # type: ignore
-
-            if token:
-                CURRENT_TENANT_ID_CONTEXTVAR.reset(token)
-
-            return user
+        return user
 
     async def on_after_register(
         self, user: User, request: Optional[Request] = None
@@ -450,50 +300,28 @@ class UserManager(UUIDIDMixin, BaseUserManager[User, uuid.UUID]):
     async def authenticate(
         self, credentials: OAuth2PasswordRequestForm
     ) -> Optional[User]:
-        email = credentials.username
-
-        # Get tenant_id from mapping table
-        tenant_id = get_tenant_id_for_email(email)
-        if not tenant_id:
-            # User not found in mapping
+        try:
+            user = await self.get_by_email(credentials.username)
+        except exceptions.UserNotExists:
             self.password_helper.hash(credentials.password)
             return None
 
-        # Create a tenant-specific session
-        async with get_async_session_with_tenant(tenant_id) as tenant_session:
-            tenant_user_db: SQLAlchemyUserDatabase = SQLAlchemyUserDatabase(
-                tenant_session, User
+        if not user.has_web_login:
+            raise HTTPException(
+                status_code=status.HTTP_403_FORBIDDEN,
+                detail="NO_WEB_LOGIN_AND_HAS_NO_PASSWORD",
             )
-            self.user_db = tenant_user_db
 
-            # Proceed with authentication
-            try:
-                user = await self.get_by_email(email)
+        verified, updated_password_hash = self.password_helper.verify_and_update(
+            credentials.password, user.hashed_password
+        )
+        if not verified:
+            return None
 
-            except exceptions.UserNotExists:
-                self.password_helper.hash(credentials.password)
-                return None
+        if updated_password_hash is not None:
+            await self.user_db.update(user, {"hashed_password": updated_password_hash})
 
-            has_web_login = attributes.get_attribute(user, "has_web_login")
-
-            if not 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
+        return user
 
 
 async def get_user_manager(
@@ -508,40 +336,21 @@ cookie_transport = CookieTransport(
 )
 
 
-# This strategy is used to add tenant_id to the JWT token
-class TenantAwareJWTStrategy(JWTStrategy):
-    async def write_token(self, user: User) -> str:
-        tenant_id = get_tenant_id_for_email(user.email)
-        data = {
-            "sub": str(user.id),
-            "aud": self.token_audience,
-            "tenant_id": tenant_id,
-        }
-        return generate_jwt(
-            data, self.encode_key, self.lifetime_seconds, algorithm=self.algorithm
-        )
-
-
-def get_jwt_strategy() -> JWTStrategy:
-    return TenantAwareJWTStrategy(
-        secret=USER_AUTH_SECRET,
-        lifetime_seconds=SESSION_EXPIRE_TIME_SECONDS,
-    )
-
-
 def get_database_strategy(
     access_token_db: AccessTokenDatabase[AccessToken] = Depends(get_access_token_db),
 ) -> DatabaseStrategy:
-    return DatabaseStrategy(
+    strategy = DatabaseStrategy(
         access_token_db, lifetime_seconds=SESSION_EXPIRE_TIME_SECONDS  # type: ignore
     )
 
+    return strategy
+
 
 auth_backend = AuthenticationBackend(
-    name="jwt" if MULTI_TENANT else "database",
+    name="database",
     transport=cookie_transport,
-    get_strategy=get_jwt_strategy if MULTI_TENANT else get_database_strategy,  # type: ignore
-)  # type: ignore
+    get_strategy=get_database_strategy,
+)
 
 
 class FastAPIUserWithLogoutRouter(FastAPIUsers[models.UP, models.ID]):
@@ -555,11 +364,9 @@ class FastAPIUserWithLogoutRouter(FastAPIUsers[models.UP, models.ID]):
         This way the login router does not need to be included
         """
         router = APIRouter()
-
         get_current_user_token = self.authenticator.current_user_token(
             active=True, verified=requires_verification
         )
-
         logout_responses: OpenAPIResponseType = {
             **{
                 status.HTTP_401_UNAUTHORIZED: {
@@ -606,8 +413,8 @@ async def optional_user_(
 
 async def optional_user(
     request: Request,
-    db_session: Session = Depends(get_session),
     user: User | None = Depends(optional_fastapi_current_user),
+    db_session: Session = Depends(get_session),
 ) -> User | None:
     versioned_fetch_user = fetch_versioned_implementation(
         "danswer.auth.users", "optional_user_"
@@ -698,186 +505,3 @@ async def current_admin_user(user: User | None = Depends(current_user)) -> User
 def get_default_admin_user_emails_() -> list[str]:
     # No default seeding available for Danswer MIT
     return []
-
-
-STATE_TOKEN_AUDIENCE = "fastapi-users:oauth-state"
-
-
-class OAuth2AuthorizeResponse(BaseModel):
-    authorization_url: str
-
-
-def generate_state_token(
-    data: Dict[str, str], secret: SecretType, lifetime_seconds: int = 3600
-) -> str:
-    data["aud"] = STATE_TOKEN_AUDIENCE
-
-    return generate_jwt(data, secret, lifetime_seconds)
-
-
-# refer to https://github.com/fastapi-users/fastapi-users/blob/42ddc241b965475390e2bce887b084152ae1a2cd/fastapi_users/fastapi_users.py#L91
-
-
-def create_danswer_oauth_router(
-    oauth_client: BaseOAuth2,
-    backend: AuthenticationBackend,
-    state_secret: SecretType,
-    redirect_url: Optional[str] = None,
-    associate_by_email: bool = False,
-    is_verified_by_default: bool = False,
-) -> APIRouter:
-    return get_oauth_router(
-        oauth_client,
-        backend,
-        get_user_manager,
-        state_secret,
-        redirect_url,
-        associate_by_email,
-        is_verified_by_default,
-    )
-
-
-def get_oauth_router(
-    oauth_client: BaseOAuth2,
-    backend: AuthenticationBackend,
-    get_user_manager: UserManagerDependency[models.UP, models.ID],
-    state_secret: SecretType,
-    redirect_url: Optional[str] = None,
-    associate_by_email: bool = False,
-    is_verified_by_default: bool = False,
-) -> APIRouter:
-    """Generate a router with the OAuth routes."""
-    router = APIRouter()
-    callback_route_name = f"oauth:{oauth_client.name}.{backend.name}.callback"
-
-    if redirect_url is not None:
-        oauth2_authorize_callback = OAuth2AuthorizeCallback(
-            oauth_client,
-            redirect_url=redirect_url,
-        )
-    else:
-        oauth2_authorize_callback = OAuth2AuthorizeCallback(
-            oauth_client,
-            route_name=callback_route_name,
-        )
-
-    @router.get(
-        "/authorize",
-        name=f"oauth:{oauth_client.name}.{backend.name}.authorize",
-        response_model=OAuth2AuthorizeResponse,
-    )
-    async def authorize(
-        request: Request, scopes: List[str] = Query(None)
-    ) -> OAuth2AuthorizeResponse:
-        if redirect_url is not None:
-            authorize_redirect_url = redirect_url
-        else:
-            authorize_redirect_url = str(request.url_for(callback_route_name))
-
-        next_url = request.query_params.get("next", "/")
-        state_data: Dict[str, str] = {"next_url": next_url}
-        state = generate_state_token(state_data, state_secret)
-        authorization_url = await oauth_client.get_authorization_url(
-            authorize_redirect_url,
-            state,
-            scopes,
-        )
-
-        return OAuth2AuthorizeResponse(authorization_url=authorization_url)
-
-    @router.get(
-        "/callback",
-        name=callback_route_name,
-        description="The response varies based on the authentication backend used.",
-        responses={
-            status.HTTP_400_BAD_REQUEST: {
-                "model": ErrorModel,
-                "content": {
-                    "application/json": {
-                        "examples": {
-                            "INVALID_STATE_TOKEN": {
-                                "summary": "Invalid state token.",
-                                "value": None,
-                            },
-                            ErrorCode.LOGIN_BAD_CREDENTIALS: {
-                                "summary": "User is inactive.",
-                                "value": {"detail": ErrorCode.LOGIN_BAD_CREDENTIALS},
-                            },
-                        }
-                    }
-                },
-            },
-        },
-    )
-    async def callback(
-        request: Request,
-        access_token_state: Tuple[OAuth2Token, str] = Depends(
-            oauth2_authorize_callback
-        ),
-        user_manager: BaseUserManager[models.UP, models.ID] = Depends(get_user_manager),
-        strategy: Strategy[models.UP, models.ID] = Depends(backend.get_strategy),
-    ) -> RedirectResponse:
-        token, state = access_token_state
-        account_id, account_email = await oauth_client.get_id_email(
-            token["access_token"]
-        )
-
-        if account_email is None:
-            raise HTTPException(
-                status_code=status.HTTP_400_BAD_REQUEST,
-                detail=ErrorCode.OAUTH_NOT_AVAILABLE_EMAIL,
-            )
-
-        try:
-            state_data = decode_jwt(state, state_secret, [STATE_TOKEN_AUDIENCE])
-        except jwt.DecodeError:
-            raise HTTPException(status_code=status.HTTP_400_BAD_REQUEST)
-
-        next_url = state_data.get("next_url", "/")
-
-        # Authenticate user
-        try:
-            user = await user_manager.oauth_callback(
-                oauth_client.name,
-                token["access_token"],
-                account_id,
-                account_email,
-                token.get("expires_at"),
-                token.get("refresh_token"),
-                request,
-                associate_by_email=associate_by_email,
-                is_verified_by_default=is_verified_by_default,
-            )
-        except UserAlreadyExists:
-            raise HTTPException(
-                status_code=status.HTTP_400_BAD_REQUEST,
-                detail=ErrorCode.OAUTH_USER_ALREADY_EXISTS,
-            )
-
-        if not user.is_active:
-            raise HTTPException(
-                status_code=status.HTTP_400_BAD_REQUEST,
-                detail=ErrorCode.LOGIN_BAD_CREDENTIALS,
-            )
-
-        # Login user
-        response = await backend.login(strategy, user)
-        await user_manager.on_after_login(user, request, response)
-
-        # Prepare redirect response
-        redirect_response = RedirectResponse(next_url, status_code=302)
-
-        # Copy headers and other attributes from 'response' to 'redirect_response'
-        for header_name, header_value in response.headers.items():
-            redirect_response.headers[header_name] = header_value
-
-        if hasattr(response, "body"):
-            redirect_response.body = response.body
-        if hasattr(response, "status_code"):
-            redirect_response.status_code = response.status_code
-        if hasattr(response, "media_type"):
-            redirect_response.media_type = response.media_type
-
-        return redirect_response
-
-    return router

backend/danswer/background/celery/apps/app_base.py

@@ -1,310 +0,0 @@
-import logging
-import multiprocessing
-import time
-from typing import Any
-
-import sentry_sdk
-from celery import Task
-from celery.app import trace
-from celery.exceptions import WorkerShutdown
-from celery.states import READY_STATES
-from celery.utils.log import get_task_logger
-from celery.worker import strategy  # type: ignore
-from sentry_sdk.integrations.celery import CeleryIntegration
-
-from danswer.background.celery.apps.task_formatters import CeleryTaskColoredFormatter
-from danswer.background.celery.apps.task_formatters import CeleryTaskPlainFormatter
-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 DanswerRedisLocks
-from danswer.db.engine import get_all_tenant_ids
-from danswer.redis.redis_pool import get_redis_client
-from danswer.utils.logger import ColoredFormatter
-from danswer.utils.logger import PlainFormatter
-from danswer.utils.logger import setup_logger
-from shared_configs.configs import SENTRY_DSN
-
-
-logger = setup_logger()
-
-task_logger = get_task_logger(__name__)
-
-if SENTRY_DSN:
-    sentry_sdk.init(
-        dsn=SENTRY_DSN,
-        integrations=[CeleryIntegration()],
-        traces_sample_rate=0.1,
-    )
-    logger.info("Sentry initialized")
-else:
-    logger.debug("Sentry DSN not provided, skipping Sentry initialization")
-
-
-def on_task_prerun(
-    sender: Any | None = None,
-    task_id: str | None = None,
-    task: Task | None = None,
-    args: tuple | None = None,
-    kwargs: dict | None = None,
-    **kwds: Any,
-) -> None:
-    pass
-
-
-def on_task_postrun(
-    sender: Any | None = None,
-    task_id: str | None = None,
-    task: Task | None = None,
-    args: tuple | None = None,
-    kwargs: dict[str, Any] | 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.
-
-    This also does not fire if a worker with acks_late=False crashes (which all of our
-    long running workers are)
-    """
-    if not task:
-        return
-
-    task_logger.debug(f"Task {task.name} (ID: {task_id}) completed with state: {state}")
-
-    if state not in READY_STATES:
-        return
-
-    if not task_id:
-        return
-
-    # Get tenant_id directly from kwargs- each celery task has a tenant_id kwarg
-    if not kwargs:
-        logger.error(f"Task {task.name} (ID: {task_id}) is missing kwargs")
-        tenant_id = None
-    else:
-        tenant_id = kwargs.get("tenant_id")
-
-    task_logger.debug(
-        f"Task {task.name} (ID: {task_id}) completed with state: {state} "
-        f"{f'for tenant_id={tenant_id}' if tenant_id else ''}"
-    )
-
-    r = get_redis_client(tenant_id=tenant_id)
-
-    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(int(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(int(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(int(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(int(cc_pair_id))
-            r.srem(rcp.taskset_key, task_id)
-        return
-
-
-def on_celeryd_init(sender: Any = None, conf: Any = None, **kwargs: Any) -> None:
-    """The first signal sent on celery worker startup"""
-    multiprocessing.set_start_method("spawn")  # fork is unsafe, set to spawn
-
-
-def wait_for_redis(sender: Any, **kwargs: Any) -> None:
-    r = get_redis_client(tenant_id=None)
-
-    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}"
-        )
-        if time_elapsed > WAIT_LIMIT:
-            msg = (
-                f"Redis: Readiness check did not succeed within the timeout "
-                f"({WAIT_LIMIT} seconds). Exiting..."
-            )
-            logger.error(msg)
-            raise WorkerShutdown(msg)
-
-        time.sleep(WAIT_INTERVAL)
-
-    logger.info("Redis: Readiness check succeeded. Continuing...")
-    return
-
-
-def on_secondary_worker_init(sender: Any, **kwargs: Any) -> None:
-    WAIT_INTERVAL = 5
-    WAIT_LIMIT = 60
-
-    logger.info("Running as a secondary celery worker.")
-    logger.info("Waiting for all tenant primary workers to be ready...")
-    time_start = time.monotonic()
-
-    while True:
-        tenant_ids = get_all_tenant_ids()
-        # Check if we have a primary worker lock for each tenant
-        all_tenants_ready = all(
-            get_redis_client(tenant_id=tenant_id).exists(
-                DanswerRedisLocks.PRIMARY_WORKER
-            )
-            for tenant_id in tenant_ids
-        )
-
-        if all_tenants_ready:
-            break
-
-        time_elapsed = time.monotonic() - time_start
-        ready_tenants = sum(
-            1
-            for tenant_id in tenant_ids
-            if get_redis_client(tenant_id=tenant_id).exists(
-                DanswerRedisLocks.PRIMARY_WORKER
-            )
-        )
-
-        logger.info(
-            f"Not all tenant primary workers are ready yet. "
-            f"Ready tenants: {ready_tenants}/{len(tenant_ids)} "
-            f"elapsed={time_elapsed:.1f} timeout={WAIT_LIMIT:.1f}"
-        )
-
-        if time_elapsed > WAIT_LIMIT:
-            msg = (
-                f"Not all tenant primary workers were ready within the timeout "
-                f"({WAIT_LIMIT} seconds). Exiting..."
-            )
-            logger.error(msg)
-            raise WorkerShutdown(msg)
-
-        time.sleep(WAIT_INTERVAL)
-
-    logger.info("All tenant primary workers are ready. Continuing...")
-    return
-
-
-def on_worker_ready(sender: Any, **kwargs: Any) -> None:
-    task_logger.info("worker_ready signal received.")
-
-
-def on_worker_shutdown(sender: Any, **kwargs: Any) -> None:
-    if not celery_is_worker_primary(sender):
-        return
-
-    if not hasattr(sender, "primary_worker_locks"):
-        return
-
-    for tenant_id, lock in sender.primary_worker_locks.items():
-        try:
-            if lock and lock.owned():
-                logger.debug(f"Attempting to release lock for tenant {tenant_id}")
-                try:
-                    lock.release()
-                    logger.debug(f"Successfully released lock for tenant {tenant_id}")
-                except Exception as e:
-                    logger.error(
-                        f"Failed to release lock for tenant {tenant_id}. Error: {str(e)}"
-                    )
-                finally:
-                    sender.primary_worker_locks[tenant_id] = None
-        except Exception as e:
-            logger.error(
-                f"Error checking lock status for tenant {tenant_id}. Error: {str(e)}"
-            )
-
-
-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 the root 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
-
-    # hide celery task received spam
-    # e.g. "Task check_for_pruning[a1e96171-0ba8-4e00-887b-9fbf7442eab3] received"
-    strategy.logger.setLevel(logging.WARNING)
-
-    # hide celery task succeeded/failed spam
-    # e.g. "Task check_for_pruning[a1e96171-0ba8-4e00-887b-9fbf7442eab3] succeeded in 0.03137450001668185s: None"
-    trace.logger.setLevel(logging.WARNING)

backend/danswer/background/celery/apps/beat.py

@@ -1,102 +0,0 @@
-from datetime import timedelta
-from typing import Any
-
-from celery import Celery
-from celery import signals
-from celery.signals import beat_init
-
-import danswer.background.celery.apps.app_base as app_base
-from danswer.configs.constants import DanswerCeleryPriority
-from danswer.configs.constants import POSTGRES_CELERY_BEAT_APP_NAME
-from danswer.db.engine import get_all_tenant_ids
-from danswer.db.engine import SqlEngine
-from danswer.utils.logger import setup_logger
-
-logger = setup_logger()
-
-celery_app = Celery(__name__)
-celery_app.config_from_object("danswer.background.celery.configs.beat")
-
-
-@beat_init.connect
-def on_beat_init(sender: Any, **kwargs: Any) -> None:
-    logger.info("beat_init signal received.")
-
-    # celery beat shouldn't touch the db at all. But just setting a low minimum here.
-    SqlEngine.set_app_name(POSTGRES_CELERY_BEAT_APP_NAME)
-    SqlEngine.init_engine(pool_size=2, max_overflow=0)
-    app_base.wait_for_redis(sender, **kwargs)
-
-
-@signals.setup_logging.connect
-def on_setup_logging(
-    loglevel: Any, logfile: Any, format: Any, colorize: Any, **kwargs: Any
-) -> None:
-    app_base.on_setup_logging(loglevel, logfile, format, colorize, **kwargs)
-
-
-#####
-# Celery Beat (Periodic Tasks) Settings
-#####
-
-tenant_ids = get_all_tenant_ids()
-
-tasks_to_schedule = [
-    {
-        "name": "check-for-vespa-sync",
-        "task": "check_for_vespa_sync_task",
-        "schedule": timedelta(seconds=5),
-        "options": {"priority": DanswerCeleryPriority.HIGH},
-    },
-    {
-        "name": "check-for-connector-deletion",
-        "task": "check_for_connector_deletion_task",
-        "schedule": timedelta(seconds=60),
-        "options": {"priority": DanswerCeleryPriority.HIGH},
-    },
-    {
-        "name": "check-for-indexing",
-        "task": "check_for_indexing",
-        "schedule": timedelta(seconds=10),
-        "options": {"priority": DanswerCeleryPriority.HIGH},
-    },
-    {
-        "name": "check-for-prune",
-        "task": "check_for_pruning",
-        "schedule": timedelta(seconds=10),
-        "options": {"priority": DanswerCeleryPriority.HIGH},
-    },
-    {
-        "name": "kombu-message-cleanup",
-        "task": "kombu_message_cleanup_task",
-        "schedule": timedelta(seconds=3600),
-        "options": {"priority": DanswerCeleryPriority.LOWEST},
-    },
-    {
-        "name": "monitor-vespa-sync",
-        "task": "monitor_vespa_sync",
-        "schedule": timedelta(seconds=5),
-        "options": {"priority": DanswerCeleryPriority.HIGH},
-    },
-]
-
-
-# Build the celery beat schedule dynamically
-beat_schedule = {}
-
-for tenant_id in tenant_ids:
-    for task in tasks_to_schedule:
-        task_name = f"{task['name']}-{tenant_id}"  # Unique name for each scheduled task
-        beat_schedule[task_name] = {
-            "task": task["task"],
-            "schedule": task["schedule"],
-            "options": task["options"],
-            "kwargs": {"tenant_id": tenant_id},  # Must pass tenant_id as an argument
-        }
-
-# Include any existing beat schedules
-existing_beat_schedule = celery_app.conf.beat_schedule or {}
-beat_schedule.update(existing_beat_schedule)
-
-# Update the Celery app configuration once
-celery_app.conf.beat_schedule = beat_schedule

backend/danswer/background/celery/apps/heavy.py

@@ -1,88 +0,0 @@
-import multiprocessing
-from typing import Any
-
-from celery import Celery
-from celery import signals
-from celery import Task
-from celery.signals import celeryd_init
-from celery.signals import worker_init
-from celery.signals import worker_ready
-from celery.signals import worker_shutdown
-
-import danswer.background.celery.apps.app_base as app_base
-from danswer.configs.constants import POSTGRES_CELERY_WORKER_HEAVY_APP_NAME
-from danswer.db.engine import SqlEngine
-from danswer.utils.logger import setup_logger
-
-
-logger = setup_logger()
-
-celery_app = Celery(__name__)
-celery_app.config_from_object("danswer.background.celery.configs.heavy")
-
-
-@signals.task_prerun.connect
-def on_task_prerun(
-    sender: Any | None = None,
-    task_id: str | None = None,
-    task: Task | None = None,
-    args: tuple | None = None,
-    kwargs: dict | None = None,
-    **kwds: Any,
-) -> None:
-    app_base.on_task_prerun(sender, task_id, task, args, kwargs, **kwds)
-
-
-@signals.task_postrun.connect
-def on_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:
-    app_base.on_task_postrun(sender, task_id, task, args, kwargs, retval, state, **kwds)
-
-
-@celeryd_init.connect
-def on_celeryd_init(sender: Any = None, conf: Any = None, **kwargs: Any) -> None:
-    app_base.on_celeryd_init(sender, conf, **kwargs)
-
-
-@worker_init.connect
-def on_worker_init(sender: Any, **kwargs: Any) -> None:
-    logger.info("worker_init signal received.")
-    logger.info(f"Multiprocessing start method: {multiprocessing.get_start_method()}")
-
-    SqlEngine.set_app_name(POSTGRES_CELERY_WORKER_HEAVY_APP_NAME)
-    SqlEngine.init_engine(pool_size=4, max_overflow=12)
-
-    app_base.wait_for_redis(sender, **kwargs)
-    app_base.on_secondary_worker_init(sender, **kwargs)
-
-
-@worker_ready.connect
-def on_worker_ready(sender: Any, **kwargs: Any) -> None:
-    app_base.on_worker_ready(sender, **kwargs)
-
-
-@worker_shutdown.connect
-def on_worker_shutdown(sender: Any, **kwargs: Any) -> None:
-    app_base.on_worker_shutdown(sender, **kwargs)
-
-
-@signals.setup_logging.connect
-def on_setup_logging(
-    loglevel: Any, logfile: Any, format: Any, colorize: Any, **kwargs: Any
-) -> None:
-    app_base.on_setup_logging(loglevel, logfile, format, colorize, **kwargs)
-
-
-celery_app.autodiscover_tasks(
-    [
-        "danswer.background.celery.tasks.pruning",
-    ]
-)

backend/danswer/background/celery/apps/indexing.py

@@ -1,88 +0,0 @@
-import multiprocessing
-from typing import Any
-
-from celery import Celery
-from celery import signals
-from celery import Task
-from celery.signals import celeryd_init
-from celery.signals import worker_init
-from celery.signals import worker_ready
-from celery.signals import worker_shutdown
-
-import danswer.background.celery.apps.app_base as app_base
-from danswer.configs.constants import POSTGRES_CELERY_WORKER_INDEXING_APP_NAME
-from danswer.db.engine import SqlEngine
-from danswer.utils.logger import setup_logger
-
-
-logger = setup_logger()
-
-celery_app = Celery(__name__)
-celery_app.config_from_object("danswer.background.celery.configs.indexing")
-
-
-@signals.task_prerun.connect
-def on_task_prerun(
-    sender: Any | None = None,
-    task_id: str | None = None,
-    task: Task | None = None,
-    args: tuple | None = None,
-    kwargs: dict | None = None,
-    **kwds: Any,
-) -> None:
-    app_base.on_task_prerun(sender, task_id, task, args, kwargs, **kwds)
-
-
-@signals.task_postrun.connect
-def on_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:
-    app_base.on_task_postrun(sender, task_id, task, args, kwargs, retval, state, **kwds)
-
-
-@celeryd_init.connect
-def on_celeryd_init(sender: Any = None, conf: Any = None, **kwargs: Any) -> None:
-    app_base.on_celeryd_init(sender, conf, **kwargs)
-
-
-@worker_init.connect
-def on_worker_init(sender: Any, **kwargs: Any) -> None:
-    logger.info("worker_init signal received.")
-    logger.info(f"Multiprocessing start method: {multiprocessing.get_start_method()}")
-
-    SqlEngine.set_app_name(POSTGRES_CELERY_WORKER_INDEXING_APP_NAME)
-    SqlEngine.init_engine(pool_size=8, max_overflow=0)
-
-    app_base.wait_for_redis(sender, **kwargs)
-    app_base.on_secondary_worker_init(sender, **kwargs)
-
-
-@worker_ready.connect
-def on_worker_ready(sender: Any, **kwargs: Any) -> None:
-    app_base.on_worker_ready(sender, **kwargs)
-
-
-@worker_shutdown.connect
-def on_worker_shutdown(sender: Any, **kwargs: Any) -> None:
-    app_base.on_worker_shutdown(sender, **kwargs)
-
-
-@signals.setup_logging.connect
-def on_setup_logging(
-    loglevel: Any, logfile: Any, format: Any, colorize: Any, **kwargs: Any
-) -> None:
-    app_base.on_setup_logging(loglevel, logfile, format, colorize, **kwargs)
-
-
-celery_app.autodiscover_tasks(
-    [
-        "danswer.background.celery.tasks.indexing",
-    ]
-)

backend/danswer/background/celery/apps/light.py

@@ -1,89 +0,0 @@
-import multiprocessing
-from typing import Any
-
-from celery import Celery
-from celery import signals
-from celery import Task
-from celery.signals import celeryd_init
-from celery.signals import worker_init
-from celery.signals import worker_ready
-from celery.signals import worker_shutdown
-
-import danswer.background.celery.apps.app_base as app_base
-from danswer.configs.constants import POSTGRES_CELERY_WORKER_LIGHT_APP_NAME
-from danswer.db.engine import SqlEngine
-from danswer.utils.logger import setup_logger
-
-
-logger = setup_logger()
-
-celery_app = Celery(__name__)
-celery_app.config_from_object("danswer.background.celery.configs.light")
-
-
-@signals.task_prerun.connect
-def on_task_prerun(
-    sender: Any | None = None,
-    task_id: str | None = None,
-    task: Task | None = None,
-    args: tuple | None = None,
-    kwargs: dict | None = None,
-    **kwds: Any,
-) -> None:
-    app_base.on_task_prerun(sender, task_id, task, args, kwargs, **kwds)
-
-
-@signals.task_postrun.connect
-def on_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:
-    app_base.on_task_postrun(sender, task_id, task, args, kwargs, retval, state, **kwds)
-
-
-@celeryd_init.connect
-def on_celeryd_init(sender: Any = None, conf: Any = None, **kwargs: Any) -> None:
-    app_base.on_celeryd_init(sender, conf, **kwargs)
-
-
-@worker_init.connect
-def on_worker_init(sender: Any, **kwargs: Any) -> None:
-    logger.info("worker_init signal received.")
-    logger.info(f"Multiprocessing start method: {multiprocessing.get_start_method()}")
-
-    SqlEngine.set_app_name(POSTGRES_CELERY_WORKER_LIGHT_APP_NAME)
-    SqlEngine.init_engine(pool_size=sender.concurrency, max_overflow=8)
-
-    app_base.wait_for_redis(sender, **kwargs)
-    app_base.on_secondary_worker_init(sender, **kwargs)
-
-
-@worker_ready.connect
-def on_worker_ready(sender: Any, **kwargs: Any) -> None:
-    app_base.on_worker_ready(sender, **kwargs)
-
-
-@worker_shutdown.connect
-def on_worker_shutdown(sender: Any, **kwargs: Any) -> None:
-    app_base.on_worker_shutdown(sender, **kwargs)
-
-
-@signals.setup_logging.connect
-def on_setup_logging(
-    loglevel: Any, logfile: Any, format: Any, colorize: Any, **kwargs: Any
-) -> None:
-    app_base.on_setup_logging(loglevel, logfile, format, colorize, **kwargs)
-
-
-celery_app.autodiscover_tasks(
-    [
-        "danswer.background.celery.tasks.shared",
-        "danswer.background.celery.tasks.vespa",
-    ]
-)

backend/danswer/background/celery/apps/primary.py

@@ -1,287 +0,0 @@
-import multiprocessing
-from typing import Any
-
-from celery import bootsteps  # type: ignore
-from celery import Celery
-from celery import signals
-from celery import Task
-from celery.exceptions import WorkerShutdown
-from celery.signals import celeryd_init
-from celery.signals import worker_init
-from celery.signals import worker_ready
-from celery.signals import worker_shutdown
-
-import danswer.background.celery.apps.app_base as app_base
-from danswer.background.celery.apps.app_base 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 RedisConnectorIndexing
-from danswer.background.celery.celery_redis import RedisConnectorPruning
-from danswer.background.celery.celery_redis import RedisConnectorStop
-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 DanswerRedisLocks
-from danswer.configs.constants import POSTGRES_CELERY_WORKER_PRIMARY_APP_NAME
-from danswer.db.engine import get_all_tenant_ids
-from danswer.db.engine import SqlEngine
-from danswer.redis.redis_pool import get_redis_client
-from danswer.utils.logger import setup_logger
-
-
-logger = setup_logger()
-
-celery_app = Celery(__name__)
-celery_app.config_from_object("danswer.background.celery.configs.primary")
-
-
-@signals.task_prerun.connect
-def on_task_prerun(
-    sender: Any | None = None,
-    task_id: str | None = None,
-    task: Task | None = None,
-    args: tuple | None = None,
-    kwargs: dict | None = None,
-    **kwds: Any,
-) -> None:
-    app_base.on_task_prerun(sender, task_id, task, args, kwargs, **kwds)
-
-
-@signals.task_postrun.connect
-def on_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:
-    app_base.on_task_postrun(sender, task_id, task, args, kwargs, retval, state, **kwds)
-
-
-@celeryd_init.connect
-def on_celeryd_init(sender: Any = None, conf: Any = None, **kwargs: Any) -> None:
-    app_base.on_celeryd_init(sender, conf, **kwargs)
-
-
-@worker_init.connect
-def on_worker_init(sender: Any, **kwargs: Any) -> None:
-    logger.info("worker_init signal received.")
-    logger.info(f"Multiprocessing start method: {multiprocessing.get_start_method()}")
-
-    SqlEngine.set_app_name(POSTGRES_CELERY_WORKER_PRIMARY_APP_NAME)
-    SqlEngine.init_engine(pool_size=8, max_overflow=0)
-
-    app_base.wait_for_redis(sender, **kwargs)
-
-    logger.info("Running as the primary celery worker.")
-
-    sender.primary_worker_locks = {}
-
-    # This is singleton work that should be done on startup exactly once
-    # by the primary worker
-    tenant_ids = get_all_tenant_ids()
-    for tenant_id in tenant_ids:
-        r = get_redis_client(tenant_id=tenant_id)
-
-        # 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!")
-
-        # tacking on our own user data to the sender
-        sender.primary_worker_locks[tenant_id] = lock
-
-        # As currently designed, when this worker starts as "primary", we reinitialize redis
-        # to a clean state (for our purposes, anyway)
-        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)
-
-        for key in r.scan_iter(RedisConnectorIndexing.TASKSET_PREFIX + "*"):
-            r.delete(key)
-
-        for key in r.scan_iter(RedisConnectorIndexing.GENERATOR_COMPLETE_PREFIX + "*"):
-            r.delete(key)
-
-        for key in r.scan_iter(RedisConnectorIndexing.GENERATOR_PROGRESS_PREFIX + "*"):
-            r.delete(key)
-
-        for key in r.scan_iter(RedisConnectorIndexing.FENCE_PREFIX + "*"):
-            r.delete(key)
-
-        for key in r.scan_iter(RedisConnectorStop.FENCE_PREFIX + "*"):
-            r.delete(key)
-
-
-@worker_ready.connect
-def on_worker_ready(sender: Any, **kwargs: Any) -> None:
-    app_base.on_worker_ready(sender, **kwargs)
-
-
-@worker_shutdown.connect
-def on_worker_shutdown(sender: Any, **kwargs: Any) -> None:
-    app_base.on_worker_shutdown(sender, **kwargs)
-
-
-@signals.setup_logging.connect
-def on_setup_logging(
-    loglevel: Any, logfile: Any, format: Any, colorize: Any, **kwargs: Any
-) -> None:
-    app_base.on_setup_logging(loglevel, logfile, format, colorize, **kwargs)
-
-
-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:
-        try:
-            if not celery_is_worker_primary(worker):
-                return
-
-            if not hasattr(worker, "primary_worker_locks"):
-                return
-
-            # Retrieve all tenant IDs
-            tenant_ids = get_all_tenant_ids()
-
-            for tenant_id in tenant_ids:
-                lock = worker.primary_worker_locks.get(tenant_id)
-                if not lock:
-                    continue  # Skip if no lock for this tenant
-
-                r = get_redis_client(tenant_id=tenant_id)
-
-                if lock.owned():
-                    task_logger.debug(
-                        f"Reacquiring primary worker lock for tenant {tenant_id}."
-                    )
-                    lock.reacquire()
-                else:
-                    task_logger.warning(
-                        f"Full acquisition of primary worker lock for tenant {tenant_id}. "
-                        "Reasons could be worker restart or lock expiration."
-                    )
-                    lock = r.lock(
-                        DanswerRedisLocks.PRIMARY_WORKER,
-                        timeout=CELERY_PRIMARY_WORKER_LOCK_TIMEOUT,
-                    )
-
-                    task_logger.info(
-                        f"Primary worker lock for tenant {tenant_id}: Acquire starting."
-                    )
-                    acquired = lock.acquire(
-                        blocking_timeout=CELERY_PRIMARY_WORKER_LOCK_TIMEOUT / 2
-                    )
-                    if acquired:
-                        task_logger.info(
-                            f"Primary worker lock for tenant {tenant_id}: Acquire succeeded."
-                        )
-                        worker.primary_worker_locks[tenant_id] = lock
-                    else:
-                        task_logger.error(
-                            f"Primary worker lock for tenant {tenant_id}: Acquire failed!"
-                        )
-                        raise TimeoutError(
-                            f"Primary worker lock for tenant {tenant_id} could not be acquired!"
-                        )
-
-        except Exception:
-            task_logger.exception("Periodic task failed.")
-
-    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.")
-
-
-celery_app.steps["worker"].add(HubPeriodicTask)
-
-celery_app.autodiscover_tasks(
-    [
-        "danswer.background.celery.tasks.connector_deletion",
-        "danswer.background.celery.tasks.indexing",
-        "danswer.background.celery.tasks.periodic",
-        "danswer.background.celery.tasks.pruning",
-        "danswer.background.celery.tasks.shared",
-        "danswer.background.celery.tasks.vespa",
-    ]
-)

backend/danswer/background/celery/apps/task_formatters.py

@@ -1,26 +0,0 @@
-import logging
-
-from celery import current_task
-
-from danswer.utils.logger import ColoredFormatter
-from danswer.utils.logger import PlainFormatter
-
-
-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)

backend/danswer/background/celery/celery_redis.py

@@ -10,7 +10,7 @@ from celery import Celery
 from redis import Redis
 from sqlalchemy.orm import Session
 
-from danswer.background.celery.configs.base import CELERY_SEPARATOR
+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
@@ -21,7 +21,6 @@ from danswer.db.document import (
 )
 from danswer.db.document_set import construct_document_select_by_docset
 from danswer.utils.variable_functionality import fetch_versioned_implementation
-from danswer.utils.variable_functionality import global_version
 
 
 class RedisObjectHelper(ABC):
@@ -29,8 +28,8 @@ class RedisObjectHelper(ABC):
     FENCE_PREFIX = PREFIX + "_fence"
     TASKSET_PREFIX = PREFIX + "_taskset"
 
-    def __init__(self, id: str):
-        self._id: str = id
+    def __init__(self, id: int):
+        self._id: int = id
 
     @property
     def task_id_prefix(self) -> str:
@@ -47,7 +46,7 @@ class RedisObjectHelper(ABC):
         return f"{self.TASKSET_PREFIX}_{self._id}"
 
     @staticmethod
-    def get_id_from_fence_key(key: str) -> str | None:
+    def get_id_from_fence_key(key: str) -> int | None:
         """
         Extracts the object ID from a fence key in the format `PREFIX_fence_X`.
 
@@ -61,11 +60,15 @@ class RedisObjectHelper(ABC):
         if len(parts) != 3:
             return None
 
-        object_id = parts[2]
+        try:
+            object_id = int(parts[2])
+        except ValueError:
+            return None
+
         return object_id
 
     @staticmethod
-    def get_id_from_task_id(task_id: str) -> str | None:
+    def get_id_from_task_id(task_id: str) -> int | None:
         """
         Extracts the object ID from a task ID string.
 
@@ -89,7 +92,11 @@ class RedisObjectHelper(ABC):
         if len(parts) != 3:
             return None
 
-        object_id = parts[1]
+        try:
+            object_id = int(parts[1])
+        except ValueError:
+            return None
+
         return object_id
 
     @abstractmethod
@@ -99,7 +106,6 @@ class RedisObjectHelper(ABC):
         db_session: Session,
         redis_client: Redis,
         lock: redis.lock.Lock,
-        tenant_id: str | None,
     ) -> int | None:
         pass
 
@@ -109,21 +115,17 @@ class RedisDocumentSet(RedisObjectHelper):
     FENCE_PREFIX = PREFIX + "_fence"
     TASKSET_PREFIX = PREFIX + "_taskset"
 
-    def __init__(self, id: int) -> None:
-        super().__init__(str(id))
-
     def generate_tasks(
         self,
         celery_app: Celery,
         db_session: Session,
         redis_client: Redis,
         lock: redis.lock.Lock,
-        tenant_id: str | None,
     ) -> int | None:
         last_lock_time = time.monotonic()
 
         async_results = []
-        stmt = construct_document_select_by_docset(int(self._id), current_only=False)
+        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 >= (
@@ -143,7 +145,7 @@ class RedisDocumentSet(RedisObjectHelper):
 
             result = celery_app.send_task(
                 "vespa_metadata_sync_task",
-                kwargs=dict(document_id=doc.id, tenant_id=tenant_id),
+                kwargs=dict(document_id=doc.id),
                 queue=DanswerCeleryQueues.VESPA_METADATA_SYNC,
                 task_id=custom_task_id,
                 priority=DanswerCeleryPriority.LOW,
@@ -159,24 +161,17 @@ class RedisUserGroup(RedisObjectHelper):
     FENCE_PREFIX = PREFIX + "_fence"
     TASKSET_PREFIX = PREFIX + "_taskset"
 
-    def __init__(self, id: int) -> None:
-        super().__init__(str(id))
-
     def generate_tasks(
         self,
         celery_app: Celery,
         db_session: Session,
         redis_client: Redis,
         lock: redis.lock.Lock,
-        tenant_id: str | None,
     ) -> int | None:
         last_lock_time = time.monotonic()
 
         async_results = []
 
-        if not global_version.is_ee_version():
-            return 0
-
         try:
             construct_document_select_by_usergroup = fetch_versioned_implementation(
                 "danswer.db.user_group",
@@ -185,7 +180,7 @@ class RedisUserGroup(RedisObjectHelper):
         except ModuleNotFoundError:
             return 0
 
-        stmt = construct_document_select_by_usergroup(int(self._id))
+        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 >= (
@@ -205,7 +200,7 @@ class RedisUserGroup(RedisObjectHelper):
 
             result = celery_app.send_task(
                 "vespa_metadata_sync_task",
-                kwargs=dict(document_id=doc.id, tenant_id=tenant_id),
+                kwargs=dict(document_id=doc.id),
                 queue=DanswerCeleryQueues.VESPA_METADATA_SYNC,
                 task_id=custom_task_id,
                 priority=DanswerCeleryPriority.LOW,
@@ -217,19 +212,13 @@ class RedisUserGroup(RedisObjectHelper):
 
 
 class RedisConnectorCredentialPair(RedisObjectHelper):
-    """This class is used to scan documents by cc_pair in the db and collect them into
-    a unified set for syncing.
-
-    It differs from the other redis helpers in that the taskset used spans
+    """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"
 
-    def __init__(self, id: int) -> None:
-        super().__init__(str(id))
-
     @classmethod
     def get_fence_key(cls) -> str:
         return RedisConnectorCredentialPair.FENCE_PREFIX
@@ -251,12 +240,11 @@ class RedisConnectorCredentialPair(RedisObjectHelper):
         db_session: Session,
         redis_client: Redis,
         lock: redis.lock.Lock,
-        tenant_id: str | None,
     ) -> int | None:
         last_lock_time = time.monotonic()
 
         async_results = []
-        cc_pair = get_connector_credential_pair_from_id(int(self._id), db_session)
+        cc_pair = get_connector_credential_pair_from_id(self._id, db_session)
         if not cc_pair:
             return None
 
@@ -286,7 +274,7 @@ class RedisConnectorCredentialPair(RedisObjectHelper):
             # 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, tenant_id=tenant_id),
+                kwargs=dict(document_id=doc.id),
                 queue=DanswerCeleryQueues.VESPA_METADATA_SYNC,
                 task_id=custom_task_id,
                 priority=DanswerCeleryPriority.MEDIUM,
@@ -302,23 +290,17 @@ class RedisConnectorDeletion(RedisObjectHelper):
     FENCE_PREFIX = PREFIX + "_fence"
     TASKSET_PREFIX = PREFIX + "_taskset"
 
-    def __init__(self, id: int) -> None:
-        super().__init__(str(id))
-
     def generate_tasks(
         self,
         celery_app: Celery,
         db_session: Session,
         redis_client: Redis,
         lock: redis.lock.Lock,
-        tenant_id: str | None,
     ) -> int | None:
-        """Returns None if the cc_pair doesn't exist.
-        Otherwise, returns an int with the number of generated tasks."""
         last_lock_time = time.monotonic()
 
         async_results = []
-        cc_pair = get_connector_credential_pair_from_id(int(self._id), db_session)
+        cc_pair = get_connector_credential_pair_from_id(self._id, db_session)
         if not cc_pair:
             return None
 
@@ -350,7 +332,6 @@ class RedisConnectorDeletion(RedisObjectHelper):
                     document_id=doc.id,
                     connector_id=cc_pair.connector_id,
                     credential_id=cc_pair.credential_id,
-                    tenant_id=tenant_id,
                 ),
                 queue=DanswerCeleryQueues.CONNECTOR_DELETION,
                 task_id=custom_task_id,
@@ -362,209 +343,6 @@ class RedisConnectorDeletion(RedisObjectHelper):
         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:
-        super().__init__(str(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,
-        tenant_id: str | None,
-    ) -> int | None:
-        last_lock_time = time.monotonic()
-
-        async_results = []
-        cc_pair = get_connector_credential_pair_from_id(int(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,
-                    tenant_id=tenant_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, redis_client: Redis) -> bool:
-        """A single example of a helper method being refactored into the redis helper"""
-        if redis_client.exists(self.fence_key):
-            return True
-
-        return False
-
-
-class RedisConnectorIndexing(RedisObjectHelper):
-    """Celery will kick off a long running indexing task to crawl the connector and
-    find any new or updated docs docs, which will each then get a new sync task or be
-    indexed inline.
-
-    ID should be a concatenation of cc_pair_id and search_setting_id, delimited by "/".
-    e.g. "2/5"
-    """
-
-    PREFIX = "connectorindexing"
-    FENCE_PREFIX = PREFIX + "_fence"  # a fence for the entire indexing process
-    GENERATOR_TASK_PREFIX = PREFIX + "+generator"
-
-    TASKSET_PREFIX = PREFIX + "_taskset"  # stores a list of prune tasks id's
-    SUBTASK_PREFIX = PREFIX + "+sub"
-
-    GENERATOR_LOCK_PREFIX = "da_lock:indexing"
-    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, cc_pair_id: int, search_settings_id: int) -> None:
-        super().__init__(f"{cc_pair_id}/{search_settings_id}")
-
-    @property
-    def generator_lock_key(self) -> str:
-        return f"{self.GENERATOR_LOCK_PREFIX}_{self._id}"
-
-    @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,
-        tenant_id: str | None,
-    ) -> int | None:
-        return None
-
-    def is_indexing(self, redis_client: Redis) -> bool:
-        """A single example of a helper method being refactored into the redis helper"""
-        if redis_client.exists(self.fence_key):
-            return True
-
-        return False
-
-
-class RedisConnectorStop(RedisObjectHelper):
-    """Used to signal any running tasks for a connector to stop. We should refactor
-    connector related redis helpers into a single class.
-    """
-
-    PREFIX = "connectorstop"
-    FENCE_PREFIX = PREFIX + "_fence"  # a fence for the entire indexing process
-    TASKSET_PREFIX = PREFIX + "_taskset"  # stores a list of prune tasks id's
-
-    def __init__(self, id: int) -> None:
-        super().__init__(str(id))
-
-    def generate_tasks(
-        self,
-        celery_app: Celery,
-        db_session: Session,
-        redis_client: Redis,
-        lock: redis.lock.Lock | None,
-        tenant_id: str | None,
-    ) -> int | None:
-        return None
-
-
 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

backend/danswer/background/celery/celery_run.py

@@ -1,8 +1,9 @@
-"""Factory stub for running celery worker / celery beat."""
+"""Entry point for running celery worker / celery beat."""
 from danswer.utils.variable_functionality import fetch_versioned_implementation
 from danswer.utils.variable_functionality import set_is_ee_based_on_env_variable
 
+
 set_is_ee_based_on_env_variable()
-app = fetch_versioned_implementation(
-    "danswer.background.celery.apps.beat", "celery_app"
+celery_app = fetch_versioned_implementation(
+    "danswer.background.celery.celery_app", "celery_app"
 )

backend/danswer/background/celery/celery_utils.py

@@ -1,36 +1,39 @@
 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.indexing.run_indexing import RunIndexingCallbackInterface
+from danswer.background.task_utils import name_cc_prune_task
+from danswer.configs.app_configs import ALLOW_SIMULTANEOUS_PRUNING
 from danswer.configs.app_configs import MAX_PRUNING_DOCUMENT_RETRIEVAL_PER_MINUTE
 from danswer.connectors.cross_connector_utils.rate_limit_wrapper import (
     rate_limit_builder,
 )
 from danswer.connectors.interfaces import BaseConnector
+from danswer.connectors.interfaces import IdConnector
 from danswer.connectors.interfaces import LoadConnector
 from danswer.connectors.interfaces import PollConnector
-from danswer.connectors.interfaces import SlimConnector
 from danswer.connectors.models import Document
 from danswer.db.connector_credential_pair import get_connector_credential_pair
+from danswer.db.engine import get_db_current_time
 from danswer.db.enums import TaskStatus
+from danswer.db.models import Connector
+from danswer.db.models import Credential
 from danswer.db.models import TaskQueueState
-from danswer.redis.redis_pool import get_redis_client
+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.redis.redis_pool import RedisPool
 from danswer.server.documents.models import DeletionAttemptSnapshot
 from danswer.utils.logger import setup_logger
 
-
 logger = setup_logger()
+redis_pool = RedisPool()
 
 
 def _get_deletion_status(
-    connector_id: int,
-    credential_id: int,
-    db_session: Session,
-    tenant_id: str | None = None,
+    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.
@@ -43,7 +46,7 @@ def _get_deletion_status(
 
     rcd = RedisConnectorDeletion(cc_pair.id)
 
-    r = get_redis_client(tenant_id=tenant_id)
+    r = redis_pool.get_client()
     if not r.exists(rcd.fence_key):
         return None
 
@@ -53,14 +56,9 @@ def _get_deletion_status(
 
 
 def get_deletion_attempt_snapshot(
-    connector_id: int,
-    credential_id: int,
-    db_session: Session,
-    tenant_id: str | None = None,
+    connector_id: int, credential_id: int, db_session: Session
 ) -> DeletionAttemptSnapshot | None:
-    deletion_task = _get_deletion_status(
-        connector_id, credential_id, db_session, tenant_id
-    )
+    deletion_task = _get_deletion_status(connector_id, credential_id, db_session)
     if not deletion_task:
         return None
 
@@ -71,31 +69,60 @@ def get_deletion_attempt_snapshot(
     )
 
 
-def document_batch_to_ids(
-    doc_batch: list[Document],
-) -> set[str]:
+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 not ALLOW_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
+        ):
+            return False
+
+    if check_task_is_live_and_not_timed_out(last_pruning_task, db_session):
+        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,
-    callback: RunIndexingCallbackInterface | 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()
 
-    if isinstance(runnable_connector, SlimConnector):
-        for metadata_batch in runnable_connector.retrieve_all_slim_documents():
-            all_connector_doc_ids.update({doc.id for doc in metadata_batch})
-
     doc_batch_generator = None
-
-    if isinstance(runnable_connector, LoadConnector):
+    if isinstance(runnable_connector, IdConnector):
+        all_connector_doc_ids = runnable_connector.retrieve_all_source_ids()
+    elif isinstance(runnable_connector, LoadConnector):
         doc_batch_generator = runnable_connector.load_from_state()
     elif isinstance(runnable_connector, PollConnector):
         start = datetime(1970, 1, 1, tzinfo=timezone.utc).timestamp()
@@ -104,41 +131,13 @@ def extract_ids_from_runnable_connector(
     else:
         raise RuntimeError("Pruning job could not find a valid runnable_connector.")
 
-    doc_batch_processing_func = document_batch_to_ids
-    if MAX_PRUNING_DOCUMENT_RETRIEVAL_PER_MINUTE:
-        doc_batch_processing_func = rate_limit_builder(
-            max_calls=MAX_PRUNING_DOCUMENT_RETRIEVAL_PER_MINUTE, period=60
-        )(document_batch_to_ids)
-    for doc_batch in doc_batch_generator:
-        if callback:
-            if callback.should_stop():
-                raise RuntimeError("Stop signal received")
-            callback.progress(len(doc_batch))
-        all_connector_doc_ids.update(doc_batch_processing_func(doc_batch))
+    if doc_batch_generator:
+        doc_batch_processing_func = document_batch_to_ids
+        if MAX_PRUNING_DOCUMENT_RETRIEVAL_PER_MINUTE:
+            doc_batch_processing_func = rate_limit_builder(
+                max_calls=MAX_PRUNING_DOCUMENT_RETRIEVAL_PER_MINUTE, period=60
+            )(document_batch_to_ids)
+        for doc_batch in doc_batch_generator:
+            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 on the
-    command line with '--hostname'."""
-    hostname = worker.hostname
-    if hostname.startswith("primary"):
-        return True
-
-    return False

backend/danswer/background/celery/celeryconfig.py

@@ -1,11 +1,7 @@
 # docs: https://docs.celeryq.dev/en/stable/userguide/configuration.html
-import urllib.parse
-
-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
@@ -13,13 +9,12 @@ 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 = ":" + urllib.parse.quote(REDIS_PASSWORD, safe="") + "@"
+    CELERY_PASSWORD_PART = f":{REDIS_PASSWORD}@"
 
 REDIS_SCHEME = "redis"
 
@@ -31,51 +26,29 @@ if REDIS_SSL:
     if REDIS_SSL_CA_CERTS:
         SSL_QUERY_PARAMS += f"&ssl_ca_certs={REDIS_SSL_CA_CERTS}"
 
-# region Broker settings
 # 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}"
 
-broker_connection_retry_on_startup = True
-broker_pool_limit = CELERY_BROKER_POOL_LIMIT
+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
 
-# 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,
 }
-# endregion
-
-# 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
 
-# region Task result backend settings
 # It's possible we don't even need celery's result backend, in which case all of the optimization below
 # might be irrelevant
-result_backend = f"{REDIS_SCHEME}://{CELERY_PASSWORD_PART}{REDIS_HOST}:{REDIS_PORT}/{REDIS_DB_NUMBER_CELERY_RESULT_BACKEND}{SSL_QUERY_PARAMS}"
 result_expires = CELERY_RESULT_EXPIRES  # 86400 seconds is the default
-# endregion
 
-# Leaving this to the default of True may cause double logging since both our own app
-# and celery think they are controlling the logger.
-# TODO: Configure celery's logger entirely manually and set this to False
-# worker_hijack_root_logger = False
-
-# region Notes on serialization performance
 # 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
 
@@ -101,4 +74,3 @@ result_expires = CELERY_RESULT_EXPIRES  # 86400 seconds is the default
 # task_serializer = "pickle-bzip2"
 # result_serializer = "pickle-bzip2"
 # accept_content=["pickle", "pickle-bzip2"]
-# endregion

backend/danswer/background/celery/configs/beat.py

@@ -1,14 +0,0 @@
-# docs: https://docs.celeryq.dev/en/stable/userguide/configuration.html
-import danswer.background.celery.configs.base as shared_config
-
-broker_url = shared_config.broker_url
-broker_connection_retry_on_startup = shared_config.broker_connection_retry_on_startup
-broker_pool_limit = shared_config.broker_pool_limit
-broker_transport_options = shared_config.broker_transport_options
-
-redis_socket_keepalive = shared_config.redis_socket_keepalive
-redis_retry_on_timeout = shared_config.redis_retry_on_timeout
-redis_backend_health_check_interval = shared_config.redis_backend_health_check_interval
-
-result_backend = shared_config.result_backend
-result_expires = shared_config.result_expires  # 86400 seconds is the default

backend/danswer/background/celery/configs/heavy.py

@@ -1,20 +0,0 @@
-import danswer.background.celery.configs.base as shared_config
-
-broker_url = shared_config.broker_url
-broker_connection_retry_on_startup = shared_config.broker_connection_retry_on_startup
-broker_pool_limit = shared_config.broker_pool_limit
-broker_transport_options = shared_config.broker_transport_options
-
-redis_socket_keepalive = shared_config.redis_socket_keepalive
-redis_retry_on_timeout = shared_config.redis_retry_on_timeout
-redis_backend_health_check_interval = shared_config.redis_backend_health_check_interval
-
-result_backend = shared_config.result_backend
-result_expires = shared_config.result_expires  # 86400 seconds is the default
-
-task_default_priority = shared_config.task_default_priority
-task_acks_late = shared_config.task_acks_late
-
-worker_concurrency = 4
-worker_pool = "threads"
-worker_prefetch_multiplier = 1

backend/danswer/background/celery/configs/indexing.py

@@ -1,21 +0,0 @@
-import danswer.background.celery.configs.base as shared_config
-from danswer.configs.app_configs import CELERY_WORKER_INDEXING_CONCURRENCY
-
-broker_url = shared_config.broker_url
-broker_connection_retry_on_startup = shared_config.broker_connection_retry_on_startup
-broker_pool_limit = shared_config.broker_pool_limit
-broker_transport_options = shared_config.broker_transport_options
-
-redis_socket_keepalive = shared_config.redis_socket_keepalive
-redis_retry_on_timeout = shared_config.redis_retry_on_timeout
-redis_backend_health_check_interval = shared_config.redis_backend_health_check_interval
-
-result_backend = shared_config.result_backend
-result_expires = shared_config.result_expires  # 86400 seconds is the default
-
-task_default_priority = shared_config.task_default_priority
-task_acks_late = shared_config.task_acks_late
-
-worker_concurrency = CELERY_WORKER_INDEXING_CONCURRENCY
-worker_pool = "threads"
-worker_prefetch_multiplier = 1

backend/danswer/background/celery/configs/light.py

@@ -1,22 +0,0 @@
-import danswer.background.celery.configs.base as shared_config
-from danswer.configs.app_configs import CELERY_WORKER_LIGHT_CONCURRENCY
-from danswer.configs.app_configs import CELERY_WORKER_LIGHT_PREFETCH_MULTIPLIER
-
-broker_url = shared_config.broker_url
-broker_connection_retry_on_startup = shared_config.broker_connection_retry_on_startup
-broker_pool_limit = shared_config.broker_pool_limit
-broker_transport_options = shared_config.broker_transport_options
-
-redis_socket_keepalive = shared_config.redis_socket_keepalive
-redis_retry_on_timeout = shared_config.redis_retry_on_timeout
-redis_backend_health_check_interval = shared_config.redis_backend_health_check_interval
-
-result_backend = shared_config.result_backend
-result_expires = shared_config.result_expires  # 86400 seconds is the default
-
-task_default_priority = shared_config.task_default_priority
-task_acks_late = shared_config.task_acks_late
-
-worker_concurrency = CELERY_WORKER_LIGHT_CONCURRENCY
-worker_pool = "threads"
-worker_prefetch_multiplier = CELERY_WORKER_LIGHT_PREFETCH_MULTIPLIER

backend/danswer/background/celery/configs/primary.py

@@ -1,20 +0,0 @@
-import danswer.background.celery.configs.base as shared_config
-
-broker_url = shared_config.broker_url
-broker_connection_retry_on_startup = shared_config.broker_connection_retry_on_startup
-broker_pool_limit = shared_config.broker_pool_limit
-broker_transport_options = shared_config.broker_transport_options
-
-redis_socket_keepalive = shared_config.redis_socket_keepalive
-redis_retry_on_timeout = shared_config.redis_retry_on_timeout
-redis_backend_health_check_interval = shared_config.redis_backend_health_check_interval
-
-result_backend = shared_config.result_backend
-result_expires = shared_config.result_expires  # 86400 seconds is the default
-
-task_default_priority = shared_config.task_default_priority
-task_acks_late = shared_config.task_acks_late
-
-worker_concurrency = 4
-worker_pool = "threads"
-worker_prefetch_multiplier = 1

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

@@ -1,184 +0,0 @@
-from datetime import datetime
-from datetime import timezone
-
-import redis
-from celery import Celery
-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.background.celery.apps.app_base import task_logger
-from danswer.background.celery.celery_redis import RedisConnectorDeletion
-from danswer.background.celery.celery_redis import RedisConnectorIndexing
-from danswer.background.celery.celery_redis import RedisConnectorPruning
-from danswer.background.celery.celery_redis import RedisConnectorStop
-from danswer.background.celery.tasks.shared.RedisConnectorDeletionFenceData import (
-    RedisConnectorDeletionFenceData,
-)
-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_pair_from_id
-from danswer.db.connector_credential_pair import get_connector_credential_pairs
-from danswer.db.engine import get_session_with_tenant
-from danswer.db.enums import ConnectorCredentialPairStatus
-from danswer.db.search_settings import get_all_search_settings
-from danswer.redis.redis_pool import get_redis_client
-
-
-class TaskDependencyError(RuntimeError):
-    """Raised to the caller to indicate dependent tasks are running that would interfere
-    with connector deletion."""
-
-
-@shared_task(
-    name="check_for_connector_deletion_task",
-    soft_time_limit=JOB_TIMEOUT,
-    trail=False,
-    bind=True,
-)
-def check_for_connector_deletion_task(self: Task, *, tenant_id: str | None) -> None:
-    r = get_redis_client(tenant_id=tenant_id)
-
-    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
-
-        # collect cc_pair_ids
-        cc_pair_ids: list[int] = []
-        with get_session_with_tenant(tenant_id) as db_session:
-            cc_pairs = get_connector_credential_pairs(db_session)
-            for cc_pair in cc_pairs:
-                cc_pair_ids.append(cc_pair.id)
-
-        # try running cleanup on the cc_pair_ids
-        for cc_pair_id in cc_pair_ids:
-            with get_session_with_tenant(tenant_id) as db_session:
-                rcs = RedisConnectorStop(cc_pair_id)
-                try:
-                    try_generate_document_cc_pair_cleanup_tasks(
-                        self.app, cc_pair_id, db_session, r, lock_beat, tenant_id
-                    )
-                except TaskDependencyError as e:
-                    # this means we wanted to start deleting but dependent tasks were running
-                    # Leave a stop signal to clear indexing and pruning tasks more quickly
-                    task_logger.info(str(e))
-                    r.set(rcs.fence_key, cc_pair_id)
-                else:
-                    # clear the stop signal if it exists ... no longer needed
-                    r.delete(rcs.fence_key)
-
-    except SoftTimeLimitExceeded:
-        task_logger.info(
-            "Soft time limit exceeded, task is being terminated gracefully."
-        )
-    except Exception:
-        task_logger.exception(f"Unexpected exception: tenant={tenant_id}")
-    finally:
-        if lock_beat.owned():
-            lock_beat.release()
-
-
-def try_generate_document_cc_pair_cleanup_tasks(
-    app: Celery,
-    cc_pair_id: int,
-    db_session: Session,
-    r: Redis,
-    lock_beat: redis.lock.Lock,
-    tenant_id: str | None,
-) -> 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.
-
-    Will raise TaskDependencyError if dependent tasks such as indexing and pruning are
-    still running. In our case, the caller reacts by setting a stop signal in Redis to
-    exit those tasks as quickly as possible.
-    """
-
-    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 load the state of the object inside the fence
-    # to avoid a race condition with db.commit/fence deletion
-    # at the end of this taskset
-    cc_pair = get_connector_credential_pair_from_id(cc_pair_id, db_session)
-    if not cc_pair:
-        return None
-
-    if cc_pair.status != ConnectorCredentialPairStatus.DELETING:
-        return None
-
-    # set a basic fence to start
-    fence_value = RedisConnectorDeletionFenceData(
-        num_tasks=None,
-        submitted=datetime.now(timezone.utc),
-    )
-    r.set(rcd.fence_key, fence_value.model_dump_json())
-
-    try:
-        # do not proceed if connector indexing or connector pruning are running
-        search_settings_list = get_all_search_settings(db_session)
-        for search_settings in search_settings_list:
-            rci = RedisConnectorIndexing(cc_pair_id, search_settings.id)
-            if r.get(rci.fence_key):
-                raise TaskDependencyError(
-                    f"Connector deletion - Delayed (indexing in progress): "
-                    f"cc_pair={cc_pair_id} "
-                    f"search_settings={search_settings.id}"
-                )
-
-        rcp = RedisConnectorPruning(cc_pair_id)
-        if r.get(rcp.fence_key):
-            raise TaskDependencyError(
-                f"Connector deletion - Delayed (pruning in progress): "
-                f"cc_pair={cc_pair_id}"
-            )
-
-        # 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={cc_pair_id}"
-        )
-        tasks_generated = rcd.generate_tasks(app, db_session, r, lock_beat, tenant_id)
-        if tasks_generated is None:
-            raise ValueError("RedisConnectorDeletion.generate_tasks returned None")
-    except TaskDependencyError:
-        r.delete(rcd.fence_key)
-        raise
-    except Exception:
-        task_logger.exception("Unexpected exception")
-        r.delete(rcd.fence_key)
-        return None
-    else:
-        # 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={cc_pair_id} tasks_generated={tasks_generated}"
-        )
-
-        # set this only after all tasks have been added
-        fence_value.num_tasks = tasks_generated
-        r.set(rcd.fence_key, fence_value.model_dump_json())
-
-    return tasks_generated

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

@@ -1,587 +0,0 @@
-from datetime import datetime
-from datetime import timezone
-from http import HTTPStatus
-from time import sleep
-from typing import cast
-from uuid import uuid4
-
-import redis
-from celery import Celery
-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.background.celery.apps.app_base import task_logger
-from danswer.background.celery.celery_redis import RedisConnectorDeletion
-from danswer.background.celery.celery_redis import RedisConnectorIndexing
-from danswer.background.celery.celery_redis import RedisConnectorStop
-from danswer.background.celery.tasks.shared.RedisConnectorIndexingFenceData import (
-    RedisConnectorIndexingFenceData,
-)
-from danswer.background.indexing.job_client import SimpleJobClient
-from danswer.background.indexing.run_indexing import run_indexing_entrypoint
-from danswer.background.indexing.run_indexing import RunIndexingCallbackInterface
-from danswer.configs.app_configs import DISABLE_INDEX_UPDATE_ON_SWAP
-from danswer.configs.constants import CELERY_INDEXING_LOCK_TIMEOUT
-from danswer.configs.constants import CELERY_VESPA_SYNC_BEAT_LOCK_TIMEOUT
-from danswer.configs.constants import DANSWER_REDIS_FUNCTION_LOCK_PREFIX
-from danswer.configs.constants import DanswerCeleryPriority
-from danswer.configs.constants import DanswerCeleryQueues
-from danswer.configs.constants import DanswerRedisLocks
-from danswer.configs.constants import DocumentSource
-from danswer.db.connector_credential_pair import fetch_connector_credential_pairs
-from danswer.db.connector_credential_pair import get_connector_credential_pair_from_id
-from danswer.db.engine import get_db_current_time
-from danswer.db.engine import get_session_with_tenant
-from danswer.db.enums import ConnectorCredentialPairStatus
-from danswer.db.enums import IndexingStatus
-from danswer.db.enums import IndexModelStatus
-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_last_attempt_for_cc_pair
-from danswer.db.index_attempt import mark_attempt_failed
-from danswer.db.models import ConnectorCredentialPair
-from danswer.db.models import IndexAttempt
-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.redis.redis_pool import get_redis_client
-from danswer.utils.logger import setup_logger
-from danswer.utils.variable_functionality import global_version
-from shared_configs.configs import INDEXING_MODEL_SERVER_HOST
-from shared_configs.configs import INDEXING_MODEL_SERVER_PORT
-from shared_configs.configs import MULTI_TENANT
-
-logger = setup_logger()
-
-
-class RunIndexingCallback(RunIndexingCallbackInterface):
-    def __init__(
-        self,
-        stop_key: str,
-        generator_progress_key: str,
-        redis_lock: redis.lock.Lock,
-        redis_client: Redis,
-    ):
-        super().__init__()
-        self.redis_lock: redis.lock.Lock = redis_lock
-        self.stop_key: str = stop_key
-        self.generator_progress_key: str = generator_progress_key
-        self.redis_client = redis_client
-
-    def should_stop(self) -> bool:
-        if self.redis_client.exists(self.stop_key):
-            return True
-        return False
-
-    def progress(self, amount: int) -> None:
-        self.redis_lock.reacquire()
-        self.redis_client.incrby(self.generator_progress_key, amount)
-
-
-@shared_task(
-    name="check_for_indexing",
-    soft_time_limit=300,
-    bind=True,
-)
-def check_for_indexing(self: Task, *, tenant_id: str | None) -> int | None:
-    tasks_created = 0
-
-    r = get_redis_client(tenant_id=tenant_id)
-
-    lock_beat = r.lock(
-        DanswerRedisLocks.CHECK_INDEXING_BEAT_LOCK,
-        timeout=CELERY_VESPA_SYNC_BEAT_LOCK_TIMEOUT,
-    )
-
-    try:
-        # these tasks should never overlap
-        if not lock_beat.acquire(blocking=False):
-            return None
-
-        with get_session_with_tenant(tenant_id=tenant_id) as db_session:
-            check_index_swap(db_session=db_session)
-            current_search_settings = get_current_search_settings(db_session)
-            # So that the first time users aren't surprised by really slow speed of first
-            # batch of documents indexed
-            if current_search_settings.provider_type is None and not MULTI_TENANT:
-                embedding_model = EmbeddingModel.from_db_model(
-                    search_settings=current_search_settings,
-                    server_host=INDEXING_MODEL_SERVER_HOST,
-                    server_port=INDEXING_MODEL_SERVER_PORT,
-                )
-                warm_up_bi_encoder(
-                    embedding_model=embedding_model,
-                )
-
-        cc_pair_ids: list[int] = []
-        with get_session_with_tenant(tenant_id) as db_session:
-            cc_pairs = fetch_connector_credential_pairs(db_session)
-            for cc_pair_entry in cc_pairs:
-                cc_pair_ids.append(cc_pair_entry.id)
-
-        for cc_pair_id in cc_pair_ids:
-            with get_session_with_tenant(tenant_id) as db_session:
-                # Get the primary search settings
-                primary_search_settings = get_current_search_settings(db_session)
-                search_settings = [primary_search_settings]
-
-                # 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)
-
-                for search_settings_instance in search_settings:
-                    rci = RedisConnectorIndexing(
-                        cc_pair_id, search_settings_instance.id
-                    )
-                    if r.exists(rci.fence_key):
-                        continue
-
-                    cc_pair = get_connector_credential_pair_from_id(
-                        cc_pair_id, db_session
-                    )
-                    if not cc_pair:
-                        continue
-
-                    last_attempt = get_last_attempt_for_cc_pair(
-                        cc_pair.id, search_settings_instance.id, db_session
-                    )
-                    if not _should_index(
-                        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
-
-                    # using a task queue and only allowing one task per cc_pair/search_setting
-                    # prevents us from starving out certain attempts
-                    attempt_id = try_creating_indexing_task(
-                        self.app,
-                        cc_pair,
-                        search_settings_instance,
-                        False,
-                        db_session,
-                        r,
-                        tenant_id,
-                    )
-                    if attempt_id:
-                        task_logger.info(
-                            f"Indexing queued: cc_pair={cc_pair.id} index_attempt={attempt_id}"
-                        )
-                        tasks_created += 1
-    except SoftTimeLimitExceeded:
-        task_logger.info(
-            "Soft time limit exceeded, task is being terminated gracefully."
-        )
-    except Exception:
-        task_logger.exception(f"Unexpected exception: tenant={tenant_id}")
-    finally:
-        if lock_beat.owned():
-            lock_beat.release()
-
-    return tasks_created
-
-
-def _should_index(
-    cc_pair: ConnectorCredentialPair,
-    last_index: IndexAttempt | None,
-    search_settings_instance: SearchSettings,
-    secondary_index_building: bool,
-    db_session: Session,
-) -> bool:
-    """Checks various global settings and past indexing attempts to determine if
-    we should try to start indexing the cc pair / search setting combination.
-
-    Note that tactical checks such as preventing overlap with a currently running task
-    are not handled here.
-
-    Return True if we should try to index, False if not.
-    """
-    connector = cc_pair.connector
-
-    # uncomment for debugging
-    # task_logger.info(f"_should_index: "
-    #                  f"cc_pair={cc_pair.id} "
-    #                  f"connector={cc_pair.connector_id} "
-    #                  f"refresh_freq={connector.refresh_freq}")
-
-    # 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
-        ):
-            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
-        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
-    ):
-        return False
-
-    # if no attempt has ever occurred, we should index regardless of refresh_freq
-    if not last_index:
-        return True
-
-    if connector.refresh_freq is None:
-        return False
-
-    current_db_time = get_db_current_time(db_session)
-    time_since_index = current_db_time - last_index.time_updated
-    if time_since_index.total_seconds() < connector.refresh_freq:
-        return False
-
-    return True
-
-
-def try_creating_indexing_task(
-    celery_app: Celery,
-    cc_pair: ConnectorCredentialPair,
-    search_settings: SearchSettings,
-    reindex: bool,
-    db_session: Session,
-    r: Redis,
-    tenant_id: str | None,
-) -> int | None:
-    """Checks for any conditions that should block the indexing task from being
-    created, then creates the task.
-
-    Does not check for scheduling related conditions as this function
-    is used to trigger indexing immediately.
-    """
-
-    LOCK_TIMEOUT = 30
-
-    # we need to serialize any attempt to trigger indexing since it can be triggered
-    # either via celery beat or manually (API call)
-    lock = r.lock(
-        DANSWER_REDIS_FUNCTION_LOCK_PREFIX + "try_creating_indexing_task",
-        timeout=LOCK_TIMEOUT,
-    )
-
-    acquired = lock.acquire(blocking_timeout=LOCK_TIMEOUT / 2)
-    if not acquired:
-        return None
-
-    try:
-        rci = RedisConnectorIndexing(cc_pair.id, search_settings.id)
-
-        # skip if already indexing
-        if r.exists(rci.fence_key):
-            return None
-
-        # skip indexing if the cc_pair is deleting
-        rcd = RedisConnectorDeletion(cc_pair.id)
-        if r.exists(rcd.fence_key):
-            return None
-
-        db_session.refresh(cc_pair)
-        if cc_pair.status == ConnectorCredentialPairStatus.DELETING:
-            return None
-
-        # add a long running generator task to the queue
-        r.delete(rci.generator_complete_key)
-        r.delete(rci.taskset_key)
-
-        custom_task_id = f"{rci.generator_task_id_prefix}_{uuid4()}"
-
-        # set a basic fence to start
-        fence_value = RedisConnectorIndexingFenceData(
-            index_attempt_id=None,
-            started=None,
-            submitted=datetime.now(timezone.utc),
-            celery_task_id=None,
-        )
-        r.set(rci.fence_key, fence_value.model_dump_json())
-
-        # create the index attempt for tracking purposes
-        # code elsewhere checks for index attempts without an associated redis key
-        # and cleans them up
-        # therefore we must create the attempt and the task after the fence goes up
-        index_attempt_id = create_index_attempt(
-            cc_pair.id,
-            search_settings.id,
-            from_beginning=reindex,
-            db_session=db_session,
-        )
-
-        result = celery_app.send_task(
-            "connector_indexing_proxy_task",
-            kwargs=dict(
-                index_attempt_id=index_attempt_id,
-                cc_pair_id=cc_pair.id,
-                search_settings_id=search_settings.id,
-                tenant_id=tenant_id,
-            ),
-            queue=DanswerCeleryQueues.CONNECTOR_INDEXING,
-            task_id=custom_task_id,
-            priority=DanswerCeleryPriority.MEDIUM,
-        )
-        if not result:
-            raise RuntimeError("send_task for connector_indexing_proxy_task failed.")
-
-        # now fill out the fence with the rest of the data
-        fence_value.index_attempt_id = index_attempt_id
-        fence_value.celery_task_id = result.id
-        r.set(rci.fence_key, fence_value.model_dump_json())
-    except Exception:
-        r.delete(rci.fence_key)
-        task_logger.exception(
-            f"Unexpected exception: "
-            f"tenant={tenant_id} "
-            f"cc_pair={cc_pair.id} "
-            f"search_settings={search_settings.id}"
-        )
-        return None
-    finally:
-        if lock.owned():
-            lock.release()
-
-    return index_attempt_id
-
-
-@shared_task(name="connector_indexing_proxy_task", acks_late=False, track_started=True)
-def connector_indexing_proxy_task(
-    index_attempt_id: int,
-    cc_pair_id: int,
-    search_settings_id: int,
-    tenant_id: str | None,
-) -> None:
-    """celery tasks are forked, but forking is unstable.  This proxies work to a spawned task."""
-
-    client = SimpleJobClient()
-
-    job = client.submit(
-        connector_indexing_task,
-        index_attempt_id,
-        cc_pair_id,
-        search_settings_id,
-        tenant_id,
-        global_version.is_ee_version(),
-        pure=False,
-    )
-
-    if not job:
-        return
-
-    while True:
-        sleep(10)
-        with get_session_with_tenant(tenant_id) as db_session:
-            index_attempt = get_index_attempt(
-                db_session=db_session, index_attempt_id=index_attempt_id
-            )
-
-            # 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 job.status == "error":
-                logger.error(job.exception())
-
-            job.release()
-            break
-
-    return
-
-
-def connector_indexing_task(
-    index_attempt_id: int,
-    cc_pair_id: int,
-    search_settings_id: int,
-    tenant_id: str | None,
-    is_ee: bool,
-) -> int | None:
-    """Indexing 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
-
-    acks_late must be set to False. Otherwise, celery's visibility timeout will
-    cause any task that runs longer than the timeout to be redispatched by the broker.
-    There appears to be no good workaround for this, so we need to handle redispatching
-    manually.
-
-    Returns None if the task did not run (possibly due to a conflict).
-    Otherwise, returns an int >= 0 representing the number of indexed docs.
-    """
-
-    attempt = None
-    n_final_progress = 0
-
-    r = get_redis_client(tenant_id=tenant_id)
-
-    rcd = RedisConnectorDeletion(cc_pair_id)
-    if r.exists(rcd.fence_key):
-        raise RuntimeError(
-            f"Indexing will not start because connector deletion is in progress: "
-            f"cc_pair={cc_pair_id} "
-            f"fence={rcd.fence_key}"
-        )
-
-    rcs = RedisConnectorStop(cc_pair_id)
-    if r.exists(rcs.fence_key):
-        raise RuntimeError(
-            f"Indexing will not start because a connector stop signal was detected: "
-            f"cc_pair={cc_pair_id} "
-            f"fence={rcs.fence_key}"
-        )
-
-    rci = RedisConnectorIndexing(cc_pair_id, search_settings_id)
-
-    while True:
-        # read related data and evaluate/print task progress
-        fence_value = cast(bytes, r.get(rci.fence_key))
-        if fence_value is None:
-            raise ValueError(
-                f"connector_indexing_task: fence_value not found: fence={rci.fence_key}"
-            )
-
-        try:
-            fence_json = fence_value.decode("utf-8")
-            fence_data = RedisConnectorIndexingFenceData.model_validate_json(
-                cast(str, fence_json)
-            )
-        except ValueError:
-            task_logger.exception(
-                f"connector_indexing_task: fence_data not decodeable: fence={rci.fence_key}"
-            )
-            raise
-
-        if fence_data.index_attempt_id is None or fence_data.celery_task_id is None:
-            task_logger.info(
-                f"connector_indexing_task - Waiting for fence: fence={rci.fence_key}"
-            )
-            sleep(1)
-            continue
-
-        task_logger.info(
-            f"connector_indexing_task - Fence found, continuing...: fence={rci.fence_key}"
-        )
-        break
-
-    lock = r.lock(
-        rci.generator_lock_key,
-        timeout=CELERY_INDEXING_LOCK_TIMEOUT,
-    )
-
-    acquired = lock.acquire(blocking=False)
-    if not acquired:
-        task_logger.warning(
-            f"Indexing task already running, exiting...: "
-            f"cc_pair={cc_pair_id} search_settings={search_settings_id}"
-        )
-        # r.set(rci.generator_complete_key, HTTPStatus.CONFLICT.value)
-        return None
-
-    fence_data.started = datetime.now(timezone.utc)
-    r.set(rci.fence_key, fence_data.model_dump_json())
-
-    try:
-        with get_session_with_tenant(tenant_id) as db_session:
-            attempt = get_index_attempt(db_session, index_attempt_id)
-            if not attempt:
-                raise ValueError(
-                    f"Index attempt not found: index_attempt={index_attempt_id}"
-                )
-
-            cc_pair = get_connector_credential_pair_from_id(
-                cc_pair_id=cc_pair_id,
-                db_session=db_session,
-            )
-
-            if not cc_pair:
-                raise ValueError(f"cc_pair not found: cc_pair={cc_pair_id}")
-
-            if not cc_pair.connector:
-                raise ValueError(
-                    f"Connector not found: cc_pair={cc_pair_id} connector={cc_pair.connector_id}"
-                )
-
-            if not cc_pair.credential:
-                raise ValueError(
-                    f"Credential not found: cc_pair={cc_pair_id} credential={cc_pair.credential_id}"
-                )
-
-            rci = RedisConnectorIndexing(cc_pair_id, search_settings_id)
-
-            # define a callback class
-            callback = RunIndexingCallback(
-                rcs.fence_key, rci.generator_progress_key, lock, r
-            )
-
-            run_indexing_entrypoint(
-                index_attempt_id,
-                tenant_id,
-                cc_pair_id,
-                is_ee,
-                callback=callback,
-            )
-
-            # get back the total number of indexed docs and return it
-            generator_progress_value = r.get(rci.generator_progress_key)
-            if generator_progress_value is not None:
-                try:
-                    n_final_progress = int(cast(int, generator_progress_value))
-                except ValueError:
-                    pass
-
-            r.set(rci.generator_complete_key, HTTPStatus.OK.value)
-    except Exception as e:
-        task_logger.exception(f"Indexing failed: cc_pair={cc_pair_id}")
-        if attempt:
-            with get_session_with_tenant(tenant_id) as db_session:
-                mark_attempt_failed(attempt, db_session, failure_reason=str(e))
-
-        r.delete(rci.generator_lock_key)
-        r.delete(rci.generator_progress_key)
-        r.delete(rci.taskset_key)
-        r.delete(rci.fence_key)
-        raise e
-    finally:
-        if lock.owned():
-            lock.release()
-
-    return n_final_progress

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.apps.app_base import task_logger
-from danswer.configs.app_configs import JOB_TIMEOUT
-from danswer.configs.constants import PostgresAdvisoryLocks
-from danswer.db.engine import get_session_with_tenant
-
-
-@shared_task(
-    name="kombu_message_cleanup_task",
-    soft_time_limit=JOB_TIMEOUT,
-    bind=True,
-    base=AbortableTask,
-)
-def kombu_message_cleanup_task(self: Any, tenant_id: str | None) -> 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 get_session_with_tenant(tenant_id) 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

@@ -1,328 +0,0 @@
-from datetime import datetime
-from datetime import timedelta
-from datetime import timezone
-from uuid import uuid4
-
-from celery import Celery
-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.background.celery.apps.app_base import task_logger
-from danswer.background.celery.celery_redis import RedisConnectorDeletion
-from danswer.background.celery.celery_redis import RedisConnectorPruning
-from danswer.background.celery.celery_redis import RedisConnectorStop
-from danswer.background.celery.celery_utils import extract_ids_from_runnable_connector
-from danswer.background.celery.tasks.indexing.tasks import RunIndexingCallback
-from danswer.configs.app_configs import ALLOW_SIMULTANEOUS_PRUNING
-from danswer.configs.app_configs import JOB_TIMEOUT
-from danswer.configs.constants import CELERY_PRUNING_LOCK_TIMEOUT
-from danswer.configs.constants import CELERY_VESPA_SYNC_BEAT_LOCK_TIMEOUT
-from danswer.configs.constants import DANSWER_REDIS_FUNCTION_LOCK_PREFIX
-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_pair_from_id
-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_session_with_tenant
-from danswer.db.enums import ConnectorCredentialPairStatus
-from danswer.db.models import ConnectorCredentialPair
-from danswer.redis.redis_pool import get_redis_client
-from danswer.utils.logger import setup_logger
-
-logger = setup_logger()
-
-
-@shared_task(
-    name="check_for_pruning",
-    soft_time_limit=JOB_TIMEOUT,
-    bind=True,
-)
-def check_for_pruning(self: Task, *, tenant_id: str | None) -> None:
-    r = get_redis_client(tenant_id=tenant_id)
-
-    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
-
-        cc_pair_ids: list[int] = []
-        with get_session_with_tenant(tenant_id) as db_session:
-            cc_pairs = get_connector_credential_pairs(db_session)
-            for cc_pair_entry in cc_pairs:
-                cc_pair_ids.append(cc_pair_entry.id)
-
-        for cc_pair_id in cc_pair_ids:
-            lock_beat.reacquire()
-            with get_session_with_tenant(tenant_id) as db_session:
-                cc_pair = get_connector_credential_pair_from_id(cc_pair_id, db_session)
-                if not cc_pair:
-                    continue
-
-                if not is_pruning_due(cc_pair, db_session, r):
-                    continue
-
-                tasks_created = try_creating_prune_generator_task(
-                    self.app, cc_pair, db_session, r, tenant_id
-                )
-                if not tasks_created:
-                    continue
-
-                task_logger.info(f"Pruning queued: cc_pair={cc_pair.id}")
-    except SoftTimeLimitExceeded:
-        task_logger.info(
-            "Soft time limit exceeded, task is being terminated gracefully."
-        )
-    except Exception:
-        task_logger.exception(f"Unexpected exception: tenant={tenant_id}")
-    finally:
-        if lock_beat.owned():
-            lock_beat.release()
-
-
-def is_pruning_due(
-    cc_pair: ConnectorCredentialPair,
-    db_session: Session,
-    r: Redis,
-) -> bool:
-    """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.
-    """
-
-    # 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 False
-
-    # skip pruning if not active
-    if cc_pair.status != ConnectorCredentialPairStatus.ACTIVE:
-        return False
-
-    # skip pruning if the next scheduled prune time hasn't been reached yet
-    last_pruned = cc_pair.last_pruned
-    if not last_pruned:
-        if not cc_pair.last_successful_index_time:
-            # if we've never indexed, we can't prune
-            return False
-
-        # if never pruned, use the last time the connector indexed successfully
-        last_pruned = cc_pair.last_successful_index_time
-
-    next_prune = last_pruned + timedelta(seconds=cc_pair.connector.prune_freq)
-    if datetime.now(timezone.utc) < next_prune:
-        return False
-
-    return True
-
-
-def try_creating_prune_generator_task(
-    celery_app: Celery,
-    cc_pair: ConnectorCredentialPair,
-    db_session: Session,
-    r: Redis,
-    tenant_id: str | None,
-) -> 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, e.g. via the web ui.
-    """
-
-    if not ALLOW_SIMULTANEOUS_PRUNING:
-        for key in r.scan_iter(RedisConnectorPruning.FENCE_PREFIX + "*"):
-            return None
-
-    LOCK_TIMEOUT = 30
-
-    # we need to serialize starting pruning since it can be triggered either via
-    # celery beat or manually (API call)
-    lock = r.lock(
-        DANSWER_REDIS_FUNCTION_LOCK_PREFIX + "try_creating_prune_generator_task",
-        timeout=LOCK_TIMEOUT,
-    )
-
-    acquired = lock.acquire(blocking_timeout=LOCK_TIMEOUT / 2)
-    if not acquired:
-        return None
-
-    try:
-        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
-        rcd = RedisConnectorDeletion(cc_pair.id)
-        if r.exists(rcd.fence_key):
-            return None
-
-        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(
-                cc_pair_id=cc_pair.id,
-                connector_id=cc_pair.connector_id,
-                credential_id=cc_pair.credential_id,
-                tenant_id=tenant_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)
-    except Exception:
-        task_logger.exception(f"Unexpected exception: cc_pair={cc_pair.id}")
-        return None
-    finally:
-        if lock.owned():
-            lock.release()
-
-    return 1
-
-
-@shared_task(
-    name="connector_pruning_generator_task",
-    acks_late=False,
-    soft_time_limit=JOB_TIMEOUT,
-    track_started=True,
-    trail=False,
-    bind=True,
-)
-def connector_pruning_generator_task(
-    self: Task,
-    cc_pair_id: int,
-    connector_id: int,
-    credential_id: int,
-    tenant_id: str | None,
-) -> 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(tenant_id=tenant_id)
-
-    rcp = RedisConnectorPruning(cc_pair_id)
-
-    lock = r.lock(
-        DanswerRedisLocks.PRUNING_LOCK_PREFIX + f"_{rcp._id}",
-        timeout=CELERY_PRUNING_LOCK_TIMEOUT,
-    )
-
-    acquired = lock.acquire(blocking=False)
-    if not acquired:
-        task_logger.warning(
-            f"Pruning task already running, exiting...: cc_pair={cc_pair_id}"
-        )
-        return None
-
-    try:
-        with get_session_with_tenant(tenant_id) as db_session:
-            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"cc_pair not found for {connector_id} {credential_id}"
-                )
-                return
-
-            runnable_connector = instantiate_connector(
-                db_session,
-                cc_pair.connector.source,
-                InputType.SLIM_RETRIEVAL,
-                cc_pair.connector.connector_specific_config,
-                cc_pair.credential,
-            )
-
-            rcs = RedisConnectorStop(cc_pair_id)
-
-            callback = RunIndexingCallback(
-                rcs.fence_key, rcp.generator_progress_key, lock, r
-            )
-            # a list of docs in the source
-            all_connector_doc_ids: set[str] = extract_ids_from_runnable_connector(
-                runnable_connector, 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={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={cc_pair.id}"
-            )
-            tasks_generated = rcp.generate_tasks(
-                self.app, db_session, r, None, tenant_id
-            )
-            if tasks_generated is None:
-                return None
-
-            task_logger.info(
-                f"RedisConnectorPruning.generate_tasks finished. "
-                f"cc_pair={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: cc_pair={cc_pair_id} connector={connector_id}"
-        )
-
-        r.delete(rcp.generator_progress_key)
-        r.delete(rcp.taskset_key)
-        r.delete(rcp.fence_key)
-        raise e
-    finally:
-        if lock.owned():
-            lock.release()

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

@@ -1,8 +0,0 @@
-from datetime import datetime
-
-from pydantic import BaseModel
-
-
-class RedisConnectorDeletionFenceData(BaseModel):
-    num_tasks: int | None
-    submitted: datetime

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

@@ -1,10 +0,0 @@
-from datetime import datetime
-
-from pydantic import BaseModel
-
-
-class RedisConnectorIndexingFenceData(BaseModel):
-    index_attempt_id: int | None
-    started: datetime | None
-    submitted: datetime
-    celery_task_id: str | None

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

@@ -1,40 +0,0 @@
-import httpx
-from tenacity import retry
-from tenacity import retry_if_exception_type
-from tenacity import stop_after_delay
-from tenacity import wait_random_exponential
-
-from danswer.document_index.interfaces import DocumentIndex
-from danswer.document_index.interfaces import VespaDocumentFields
-
-
-class RetryDocumentIndex:
-    """A wrapper class to help with specific retries against Vespa involving
-    read timeouts.
-
-    wait_random_exponential implements full jitter as per this article:
-    https://aws.amazon.com/blogs/architecture/exponential-backoff-and-jitter/"""
-
-    MAX_WAIT = 30
-
-    # STOP_AFTER + MAX_WAIT should be slightly less (5?) than the celery soft_time_limit
-    STOP_AFTER = 70
-
-    def __init__(self, index: DocumentIndex):
-        self.index: DocumentIndex = index
-
-    @retry(
-        retry=retry_if_exception_type(httpx.ReadTimeout),
-        wait=wait_random_exponential(multiplier=1, max=MAX_WAIT),
-        stop=stop_after_delay(STOP_AFTER),
-    )
-    def delete_single(self, doc_id: str) -> int:
-        return self.index.delete_single(doc_id)
-
-    @retry(
-        retry=retry_if_exception_type(httpx.ReadTimeout),
-        wait=wait_random_exponential(multiplier=1, max=MAX_WAIT),
-        stop=stop_after_delay(STOP_AFTER),
-    )
-    def update_single(self, doc_id: str, fields: VespaDocumentFields) -> int:
-        return self.index.update_single(doc_id, fields)

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

@@ -1,182 +0,0 @@
-from http import HTTPStatus
-
-import httpx
-from celery import shared_task
-from celery import Task
-from celery.exceptions import SoftTimeLimitExceeded
-from tenacity import RetryError
-
-from danswer.access.access import get_access_for_document
-from danswer.background.celery.apps.app_base import task_logger
-from danswer.background.celery.tasks.shared.RetryDocumentIndex import RetryDocumentIndex
-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_modified
-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_session_with_tenant
-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
-
-DOCUMENT_BY_CC_PAIR_CLEANUP_MAX_RETRIES = 3
-
-
-# 5 seconds more than RetryDocumentIndex STOP_AFTER+MAX_WAIT
-LIGHT_SOFT_TIME_LIMIT = 105
-LIGHT_TIME_LIMIT = LIGHT_SOFT_TIME_LIMIT + 15
-
-
-@shared_task(
-    name="document_by_cc_pair_cleanup_task",
-    soft_time_limit=LIGHT_SOFT_TIME_LIMIT,
-    time_limit=LIGHT_TIME_LIMIT,
-    max_retries=DOCUMENT_BY_CC_PAIR_CLEANUP_MAX_RETRIES,
-    bind=True,
-)
-def document_by_cc_pair_cleanup_task(
-    self: Task,
-    document_id: str,
-    connector_id: int,
-    credential_id: int,
-    tenant_id: str | None,
-) -> 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"tenant={tenant_id} doc={document_id}")
-
-    try:
-        with get_session_with_tenant(tenant_id) as db_session:
-            action = "skip"
-            chunks_affected = 0
-
-            curr_ind_name, sec_ind_name = get_both_index_names(db_session)
-            doc_index = get_default_document_index(
-                primary_index_name=curr_ind_name, secondary_index_name=sec_ind_name
-            )
-
-            retry_index = RetryDocumentIndex(doc_index)
-
-            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
-                action = "delete"
-
-                chunks_affected = retry_index.delete_single(document_id)
-                delete_documents_complete__no_commit(
-                    db_session=db_session,
-                    document_ids=[document_id],
-                )
-            elif count > 1:
-                action = "update"
-
-                # 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.
-                chunks_affected = retry_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()
-
-            task_logger.info(
-                f"tenant={tenant_id} "
-                f"doc={document_id} "
-                f"action={action} "
-                f"refcount={count} "
-                f"chunks={chunks_affected}"
-            )
-    except SoftTimeLimitExceeded:
-        task_logger.info(
-            f"SoftTimeLimitExceeded exception. tenant={tenant_id} doc={document_id}"
-        )
-        return False
-    except Exception as ex:
-        if isinstance(ex, RetryError):
-            task_logger.info(f"Retry failed: {ex.last_attempt.attempt_number}")
-
-            # only set the inner exception if it is of type Exception
-            e_temp = ex.last_attempt.exception()
-            if isinstance(e_temp, Exception):
-                e = e_temp
-        else:
-            e = ex
-
-        if isinstance(e, httpx.HTTPStatusError):
-            if e.response.status_code == HTTPStatus.BAD_REQUEST:
-                task_logger.exception(
-                    f"Non-retryable HTTPStatusError: "
-                    f"tenant={tenant_id} "
-                    f"doc={document_id} "
-                    f"status={e.response.status_code}"
-                )
-            return False
-
-        task_logger.exception(
-            f"Unexpected exception: tenant={tenant_id} doc={document_id}"
-        )
-
-        if self.request.retries < DOCUMENT_BY_CC_PAIR_CLEANUP_MAX_RETRIES:
-            # Still retrying. 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)
-        else:
-            # This is the last attempt! mark the document as dirty in the db so that it
-            # eventually gets fixed out of band via stale document reconciliation
-            task_logger.info(
-                f"Max retries reached. Marking doc as dirty for reconciliation: "
-                f"tenant={tenant_id} doc={document_id}"
-            )
-            with get_session_with_tenant(tenant_id):
-                mark_document_as_modified(document_id, db_session)
-        return False
-
-    return True

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

@@ -1,896 +0,0 @@
-import traceback
-from datetime import datetime
-from datetime import timezone
-from http import HTTPStatus
-from typing import cast
-
-import httpx
-import redis
-from celery import Celery
-from celery import shared_task
-from celery import Task
-from celery.exceptions import SoftTimeLimitExceeded
-from celery.result import AsyncResult
-from celery.states import READY_STATES
-from redis import Redis
-from sqlalchemy.orm import Session
-from tenacity import RetryError
-
-from danswer.access.access import get_access_for_document
-from danswer.background.celery.apps.app_base import task_logger
-from danswer.background.celery.celery_redis import celery_get_queue_length
-from danswer.background.celery.celery_redis import RedisConnectorCredentialPair
-from danswer.background.celery.celery_redis import RedisConnectorDeletion
-from danswer.background.celery.celery_redis import RedisConnectorIndexing
-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.tasks.shared.RedisConnectorDeletionFenceData import (
-    RedisConnectorDeletionFenceData,
-)
-from danswer.background.celery.tasks.shared.RedisConnectorIndexingFenceData import (
-    RedisConnectorIndexingFenceData,
-)
-from danswer.background.celery.tasks.shared.RetryDocumentIndex import RetryDocumentIndex
-from danswer.background.celery.tasks.shared.tasks import LIGHT_SOFT_TIME_LIMIT
-from danswer.background.celery.tasks.shared.tasks import LIGHT_TIME_LIMIT
-from danswer.configs.app_configs import JOB_TIMEOUT
-from danswer.configs.constants import CELERY_VESPA_SYNC_BEAT_LOCK_TIMEOUT
-from danswer.configs.constants import DanswerCeleryQueues
-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 get_document_ids_for_connector_credential_pair
-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_session_with_tenant
-from danswer.db.enums import IndexingStatus
-from danswer.db.index_attempt import delete_index_attempts
-from danswer.db.index_attempt import get_all_index_attempts_by_status
-from danswer.db.index_attempt import get_index_attempt
-from danswer.db.index_attempt import mark_attempt_failed
-from danswer.db.models import DocumentSet
-from danswer.db.models import IndexAttempt
-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.redis.redis_pool import get_redis_client
-from danswer.utils.logger import setup_logger
-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 global_version
-from danswer.utils.variable_functionality import noop_fallback
-
-logger = setup_logger()
-
-
-# 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,
-    bind=True,
-)
-def check_for_vespa_sync_task(self: Task, *, tenant_id: str | None) -> None:
-    """Runs periodically to check if any document needs syncing.
-    Generates sets of tasks for Celery if syncing is needed."""
-
-    r = get_redis_client(tenant_id=tenant_id)
-
-    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 get_session_with_tenant(tenant_id) as db_session:
-            try_generate_stale_document_sync_tasks(
-                self.app, db_session, r, lock_beat, tenant_id
-            )
-
-        # region document set scan
-        document_set_ids: list[int] = []
-        with get_session_with_tenant(tenant_id) 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:
-                document_set_ids.append(document_set.id)
-
-        for document_set_id in document_set_ids:
-            with get_session_with_tenant(tenant_id) as db_session:
-                try_generate_document_set_sync_tasks(
-                    self.app, document_set_id, db_session, r, lock_beat, tenant_id
-                )
-        # endregion
-
-        # check if any user groups are not synced
-        if global_version.is_ee_version():
-            try:
-                fetch_user_groups = fetch_versioned_implementation(
-                    "danswer.db.user_group", "fetch_user_groups"
-                )
-            except ModuleNotFoundError:
-                # Always exceptions on the MIT version, which is expected
-                # We shouldn't actually get here if the ee version check works
-                pass
-            else:
-                usergroup_ids: list[int] = []
-                with get_session_with_tenant(tenant_id) as db_session:
-                    user_groups = fetch_user_groups(
-                        db_session=db_session, only_up_to_date=False
-                    )
-
-                    for usergroup in user_groups:
-                        usergroup_ids.append(usergroup.id)
-
-                for usergroup_id in usergroup_ids:
-                    with get_session_with_tenant(tenant_id) as db_session:
-                        try_generate_user_group_sync_tasks(
-                            self.app, usergroup_id, db_session, r, lock_beat, tenant_id
-                        )
-
-    except SoftTimeLimitExceeded:
-        task_logger.info(
-            "Soft time limit exceeded, task is being terminated gracefully."
-        )
-    except Exception:
-        task_logger.exception(f"Unexpected exception: tenant={tenant_id}")
-    finally:
-        if lock_beat.owned():
-            lock_beat.release()
-
-
-def try_generate_stale_document_sync_tasks(
-    celery_app: Celery,
-    db_session: Session,
-    r: Redis,
-    lock_beat: redis.lock.Lock,
-    tenant_id: str | None,
-) -> 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, tenant_id
-        )
-
-        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(
-    celery_app: Celery,
-    document_set_id: int,
-    db_session: Session,
-    r: Redis,
-    lock_beat: redis.lock.Lock,
-    tenant_id: str | None,
-) -> 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!
-    document_set = get_document_set_by_id(db_session, document_set_id)
-    if not document_set:
-        return None
-
-    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, tenant_id
-    )
-    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(
-    celery_app: Celery,
-    usergroup_id: int,
-    db_session: Session,
-    r: Redis,
-    lock_beat: redis.lock.Lock,
-    tenant_id: str | None,
-) -> 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!
-    fetch_user_group = fetch_versioned_implementation(
-        "danswer.db.user_group", "fetch_user_group"
-    )
-
-    usergroup = fetch_user_group(db_session, usergroup_id)
-    if not usergroup:
-        return None
-
-    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, tenant_id
-    )
-    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_str = RedisDocumentSet.get_id_from_fence_key(fence_key)
-    if document_set_id_str is None:
-        task_logger.warning(f"could not parse document set id from {fence_key}")
-        return
-
-    document_set_id = int(document_set_id_str)
-
-    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={document_set_id} "
-        f"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: document_set={document_set_id}"
-            )
-        else:
-            mark_document_set_as_synced(document_set_id, db_session)
-            task_logger.info(
-                f"Successfully synced document set: document_set={document_set_id}"
-            )
-
-    r.delete(rds.taskset_key)
-    r.delete(rds.fence_key)
-
-
-def monitor_connector_deletion_taskset(
-    key_bytes: bytes, r: Redis, tenant_id: str | None
-) -> None:
-    fence_key = key_bytes.decode("utf-8")
-    cc_pair_id_str = RedisConnectorDeletion.get_id_from_fence_key(fence_key)
-    if cc_pair_id_str is None:
-        task_logger.warning(f"could not parse cc_pair_id from {fence_key}")
-        return
-
-    cc_pair_id = int(cc_pair_id_str)
-
-    rcd = RedisConnectorDeletion(cc_pair_id)
-
-    # read related data and evaluate/print task progress
-    fence_value = cast(bytes, r.get(rcd.fence_key))
-    if fence_value is None:
-        return
-
-    try:
-        fence_json = fence_value.decode("utf-8")
-        fence_data = RedisConnectorDeletionFenceData.model_validate_json(
-            cast(str, fence_json)
-        )
-    except ValueError:
-        task_logger.exception(
-            "monitor_ccpair_indexing_taskset: fence_data not decodeable."
-        )
-        raise
-
-    # the fence is setting up but isn't ready yet
-    if fence_data.num_tasks is None:
-        return
-
-    count = cast(int, r.scard(rcd.taskset_key))
-    task_logger.info(
-        f"Connector deletion progress: cc_pair={cc_pair_id} remaining={count} initial={fence_data.num_tasks}"
-    )
-    if count > 0:
-        return
-
-    with get_session_with_tenant(tenant_id) as db_session:
-        cc_pair = get_connector_credential_pair_from_id(cc_pair_id, db_session)
-        if not cc_pair:
-            task_logger.warning(
-                f"Connector deletion - cc_pair not found: cc_pair={cc_pair_id}"
-            )
-            return
-
-        try:
-            doc_ids = get_document_ids_for_connector_credential_pair(
-                db_session, cc_pair.connector_id, cc_pair.credential_id
-            )
-            if len(doc_ids) > 0:
-                # if this happens, documents somehow got added while deletion was in progress. Likely a bug
-                # gating off pruning and indexing work before deletion starts
-                task_logger.warning(
-                    f"Connector deletion - documents still found after taskset completion: "
-                    f"cc_pair={cc_pair_id} num={len(doc_ids)}"
-                )
-
-            # 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(
-                    "Connector deletion - Found no credentials left for connector, deleting connector"
-                )
-                db_session.delete(connector)
-            db_session.commit()
-        except Exception as e:
-            db_session.rollback()
-            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"Connector deletion exceptioned: "
-                f"cc_pair={cc_pair_id} connector={cc_pair.connector_id} credential={cc_pair.credential_id}"
-            )
-            raise e
-
-    task_logger.info(
-        f"Connector deletion succeeded: "
-        f"cc_pair={cc_pair_id} "
-        f"connector={cc_pair.connector_id} "
-        f"credential={cc_pair.credential_id} "
-        f"docs_deleted={fence_data.num_tasks}"
-    )
-
-    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_str = RedisConnectorPruning.get_id_from_fence_key(fence_key)
-    if cc_pair_id_str is None:
-        task_logger.warning(
-            f"monitor_ccpair_pruning_taskset: could not parse cc_pair_id from {fence_key}"
-        )
-        return
-
-    cc_pair_id = int(cc_pair_id_str)
-
-    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(int(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)
-
-
-def monitor_ccpair_indexing_taskset(
-    key_bytes: bytes, r: Redis, db_session: Session
-) -> None:
-    # if the fence doesn't exist, there's nothing to do
-    fence_key = key_bytes.decode("utf-8")
-    composite_id = RedisConnectorIndexing.get_id_from_fence_key(fence_key)
-    if composite_id is None:
-        task_logger.warning(
-            f"monitor_ccpair_indexing_taskset: could not parse composite_id from {fence_key}"
-        )
-        return
-
-    # parse out metadata and initialize the helper class with it
-    parts = composite_id.split("/")
-    if len(parts) != 2:
-        return
-
-    cc_pair_id = int(parts[0])
-    search_settings_id = int(parts[1])
-
-    rci = RedisConnectorIndexing(cc_pair_id, search_settings_id)
-
-    # read related data and evaluate/print task progress
-    fence_value = cast(bytes, r.get(rci.fence_key))
-    if fence_value is None:
-        return
-
-    try:
-        fence_json = fence_value.decode("utf-8")
-        fence_data = RedisConnectorIndexingFenceData.model_validate_json(
-            cast(str, fence_json)
-        )
-    except ValueError:
-        task_logger.exception(
-            "monitor_ccpair_indexing_taskset: fence_data not decodeable."
-        )
-        raise
-
-    elapsed_submitted = datetime.now(timezone.utc) - fence_data.submitted
-
-    generator_progress_value = r.get(rci.generator_progress_key)
-    if generator_progress_value is not None:
-        try:
-            progress_count = int(cast(int, generator_progress_value))
-
-            task_logger.info(
-                f"Connector indexing progress: cc_pair_id={cc_pair_id} "
-                f"search_settings_id={search_settings_id} "
-                f"progress={progress_count} "
-                f"elapsed_submitted={elapsed_submitted.total_seconds():.2f}"
-            )
-        except ValueError:
-            task_logger.error(
-                "monitor_ccpair_indexing_taskset: generator_progress_value is not an integer."
-            )
-
-    if fence_data.index_attempt_id is None or fence_data.celery_task_id is None:
-        # the task is still setting up
-        return
-
-    # Read result state BEFORE generator_complete_key to avoid a race condition
-    # never use any blocking methods on the result from inside a task!
-    result: AsyncResult = AsyncResult(fence_data.celery_task_id)
-    result_state = result.state
-
-    generator_complete_value = r.get(rci.generator_complete_key)
-    if generator_complete_value is None:
-        if result_state in READY_STATES:
-            # IF the task state is READY, THEN generator_complete should be set
-            # if it isn't, then the worker crashed
-            task_logger.info(
-                f"Connector indexing aborted: "
-                f"cc_pair_id={cc_pair_id} "
-                f"search_settings_id={search_settings_id} "
-                f"elapsed_submitted={elapsed_submitted.total_seconds():.2f}"
-            )
-
-            index_attempt = get_index_attempt(db_session, fence_data.index_attempt_id)
-            if index_attempt:
-                mark_attempt_failed(
-                    index_attempt=index_attempt,
-                    db_session=db_session,
-                    failure_reason="Connector indexing aborted or exceptioned.",
-                )
-
-            r.delete(rci.generator_lock_key)
-            r.delete(rci.taskset_key)
-            r.delete(rci.generator_progress_key)
-            r.delete(rci.generator_complete_key)
-            r.delete(rci.fence_key)
-        return
-
-    status_enum = HTTPStatus.INTERNAL_SERVER_ERROR
-    try:
-        status_value = int(cast(int, generator_complete_value))
-        status_enum = HTTPStatus(status_value)
-    except ValueError:
-        task_logger.error(
-            f"monitor_ccpair_indexing_taskset: "
-            f"generator_complete_value=f{generator_complete_value} could not be parsed."
-        )
-
-    task_logger.info(
-        f"Connector indexing finished: cc_pair_id={cc_pair_id} "
-        f"search_settings_id={search_settings_id} "
-        f"status={status_enum.name} "
-        f"elapsed_submitted={elapsed_submitted.total_seconds():.2f}"
-    )
-
-    r.delete(rci.generator_lock_key)
-    r.delete(rci.taskset_key)
-    r.delete(rci.generator_progress_key)
-    r.delete(rci.generator_complete_key)
-    r.delete(rci.fence_key)
-
-
-@shared_task(name="monitor_vespa_sync", soft_time_limit=300, bind=True)
-def monitor_vespa_sync(self: Task, tenant_id: str | None) -> bool:
-    """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!
-
-    Returns True if the task actually did work, False
-    """
-    r = get_redis_client(tenant_id=tenant_id)
-
-    lock_beat: redis.lock.Lock = 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 False
-
-        # print current queue lengths
-        r_celery = self.app.broker_connection().channel().client  # type: ignore
-        n_celery = celery_get_queue_length("celery", r)
-        n_indexing = celery_get_queue_length(
-            DanswerCeleryQueues.CONNECTOR_INDEXING, r_celery
-        )
-        n_sync = celery_get_queue_length(
-            DanswerCeleryQueues.VESPA_METADATA_SYNC, r_celery
-        )
-        n_deletion = celery_get_queue_length(
-            DanswerCeleryQueues.CONNECTOR_DELETION, r_celery
-        )
-        n_pruning = celery_get_queue_length(
-            DanswerCeleryQueues.CONNECTOR_PRUNING, r_celery
-        )
-
-        task_logger.info(
-            f"Queue lengths: celery={n_celery} "
-            f"indexing={n_indexing} "
-            f"sync={n_sync} "
-            f"deletion={n_deletion} "
-            f"pruning={n_pruning}"
-        )
-
-        # do some cleanup before clearing fences
-        # check the db for any outstanding index attempts
-        with get_session_with_tenant(tenant_id) as db_session:
-            attempts: list[IndexAttempt] = []
-            attempts.extend(
-                get_all_index_attempts_by_status(IndexingStatus.NOT_STARTED, db_session)
-            )
-            attempts.extend(
-                get_all_index_attempts_by_status(IndexingStatus.IN_PROGRESS, db_session)
-            )
-
-            for a in attempts:
-                # if attempts exist in the db but we don't detect them in redis, mark them as failed
-                rci = RedisConnectorIndexing(
-                    a.connector_credential_pair_id, a.search_settings_id
-                )
-                failure_reason = f"Unknown index attempt {a.id}. Might be left over from a process restart."
-                if not r.exists(rci.fence_key):
-                    mark_attempt_failed(a, db_session, failure_reason=failure_reason)
-
-        lock_beat.reacquire()
-        if r.exists(RedisConnectorCredentialPair.get_fence_key()):
-            monitor_connector_taskset(r)
-
-        lock_beat.reacquire()
-        for key_bytes in r.scan_iter(RedisConnectorDeletion.FENCE_PREFIX + "*"):
-            lock_beat.reacquire()
-            monitor_connector_deletion_taskset(key_bytes, r, tenant_id)
-
-        lock_beat.reacquire()
-        for key_bytes in r.scan_iter(RedisDocumentSet.FENCE_PREFIX + "*"):
-            lock_beat.reacquire()
-            with get_session_with_tenant(tenant_id) as db_session:
-                monitor_document_set_taskset(key_bytes, r, db_session)
-
-        lock_beat.reacquire()
-        for key_bytes in r.scan_iter(RedisUserGroup.FENCE_PREFIX + "*"):
-            lock_beat.reacquire()
-            monitor_usergroup_taskset = fetch_versioned_implementation_with_fallback(
-                "danswer.background.celery.tasks.vespa.tasks",
-                "monitor_usergroup_taskset",
-                noop_fallback,
-            )
-            with get_session_with_tenant(tenant_id) as db_session:
-                monitor_usergroup_taskset(key_bytes, r, db_session)
-
-        lock_beat.reacquire()
-        for key_bytes in r.scan_iter(RedisConnectorPruning.FENCE_PREFIX + "*"):
-            lock_beat.reacquire()
-            with get_session_with_tenant(tenant_id) as db_session:
-                monitor_ccpair_pruning_taskset(key_bytes, r, db_session)
-
-        lock_beat.reacquire()
-        for key_bytes in r.scan_iter(RedisConnectorIndexing.FENCE_PREFIX + "*"):
-            lock_beat.reacquire()
-            with get_session_with_tenant(tenant_id) as db_session:
-                monitor_ccpair_indexing_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()
-
-    return True
-
-
-@shared_task(
-    name="vespa_metadata_sync_task",
-    bind=True,
-    soft_time_limit=LIGHT_SOFT_TIME_LIMIT,
-    time_limit=LIGHT_TIME_LIMIT,
-    max_retries=3,
-)
-def vespa_metadata_sync_task(
-    self: Task, document_id: str, tenant_id: str | None
-) -> bool:
-    try:
-        with get_session_with_tenant(tenant_id) as db_session:
-            curr_ind_name, sec_ind_name = get_both_index_names(db_session)
-            doc_index = get_default_document_index(
-                primary_index_name=curr_ind_name, secondary_index_name=sec_ind_name
-            )
-
-            retry_index = RetryDocumentIndex(doc_index)
-
-            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
-            )
-
-            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.
-            chunks_affected = retry_index.update_single(document_id, fields)
-
-            # 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)
-
-            task_logger.info(
-                f"tenant={tenant_id} doc={document_id} action=sync chunks={chunks_affected}"
-            )
-    except SoftTimeLimitExceeded:
-        task_logger.info(
-            f"SoftTimeLimitExceeded exception. tenant={tenant_id} doc={document_id}"
-        )
-    except Exception as ex:
-        if isinstance(ex, RetryError):
-            task_logger.warning(f"Retry failed: {ex.last_attempt.attempt_number}")
-
-            # only set the inner exception if it is of type Exception
-            e_temp = ex.last_attempt.exception()
-            if isinstance(e_temp, Exception):
-                e = e_temp
-        else:
-            e = ex
-
-        if isinstance(e, httpx.HTTPStatusError):
-            if e.response.status_code == HTTPStatus.BAD_REQUEST:
-                task_logger.exception(
-                    f"Non-retryable HTTPStatusError: "
-                    f"tenant={tenant_id} "
-                    f"doc={document_id} "
-                    f"status={e.response.status_code}"
-                )
-            return False
-
-        task_logger.exception(
-            f"Unexpected exception: tenant={tenant_id} doc={document_id}"
-        )
-
-        # 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/versioned_apps/heavy.py

@@ -1,17 +0,0 @@
-"""Factory stub for running celery worker / celery beat.
-This code is different from the primary/beat stubs because there is no EE version to
-fetch. Port over the code in those files if we add an EE version of this worker."""
-from celery import Celery
-
-from danswer.utils.variable_functionality import set_is_ee_based_on_env_variable
-
-set_is_ee_based_on_env_variable()
-
-
-def get_app() -> Celery:
-    from danswer.background.celery.apps.heavy import celery_app
-
-    return celery_app
-
-
-app = get_app()

backend/danswer/background/celery/versioned_apps/indexing.py

@@ -1,17 +0,0 @@
-"""Factory stub for running celery worker / celery beat.
-This code is different from the primary/beat stubs because there is no EE version to
-fetch. Port over the code in those files if we add an EE version of this worker."""
-from celery import Celery
-
-from danswer.utils.variable_functionality import set_is_ee_based_on_env_variable
-
-set_is_ee_based_on_env_variable()
-
-
-def get_app() -> Celery:
-    from danswer.background.celery.apps.indexing import celery_app
-
-    return celery_app
-
-
-app = get_app()

backend/danswer/background/celery/versioned_apps/light.py

@@ -1,17 +0,0 @@
-"""Factory stub for running celery worker / celery beat.
-This code is different from the primary/beat stubs because there is no EE version to
-fetch. Port over the code in those files if we add an EE version of this worker."""
-from celery import Celery
-
-from danswer.utils.variable_functionality import set_is_ee_based_on_env_variable
-
-set_is_ee_based_on_env_variable()
-
-
-def get_app() -> Celery:
-    from danswer.background.celery.apps.light import celery_app
-
-    return celery_app
-
-
-app = get_app()

backend/danswer/background/celery/versioned_apps/primary.py

@@ -1,8 +0,0 @@
-"""Factory stub for running celery worker / celery beat."""
-from danswer.utils.variable_functionality import fetch_versioned_implementation
-from danswer.utils.variable_functionality import set_is_ee_based_on_env_variable
-
-set_is_ee_based_on_env_variable()
-app = fetch_versioned_implementation(
-    "danswer.background.celery.apps.primary", "celery_app"
-)

backend/danswer/background/connector_deletion.py

@@ -0,0 +1,110 @@
+"""
+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
+"""
+from sqlalchemy.orm import Session
+
+from danswer.access.access import get_access_for_documents
+from danswer.db.document import delete_documents_by_connector_credential_pair__no_commit
+from danswer.db.document import delete_documents_complete__no_commit
+from danswer.db.document import get_document_connector_counts
+from danswer.db.document import prepare_to_modify_documents
+from danswer.db.document_set import fetch_document_sets_for_documents
+from danswer.db.engine import get_sqlalchemy_engine
+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_counts = get_document_connector_counts(
+                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_counts
+                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_counts if cnt > 1
+            ]
+
+            # maps document id to list of document set names
+            new_doc_sets_for_documents: dict[str, set[str]] = {
+                document_id_and_document_set_names_tuple[0]: set(
+                    document_id_and_document_set_names_tuple[1]
+                )
+                for document_id_and_document_set_names_tuple in fetch_document_sets_for_documents(
+                    db_session=db_session,
+                    document_ids=document_ids_to_update,
+                )
+            }
+
+            # determine future ACLs for documents in batch
+            access_for_documents = get_access_for_documents(
+                document_ids=document_ids_to_update,
+                db_session=db_session,
+            )
+
+            # update Vespa
+            logger.debug(f"Updating documents: {document_ids_to_update}")
+            update_requests = [
+                UpdateRequest(
+                    document_ids=[document_id],
+                    access=access,
+                    document_sets=new_doc_sets_for_documents[document_id],
+                )
+                for document_id, access in access_for_documents.items()
+            ]
+            document_index.update(update_requests=update_requests)
+
+            # clean up Postgres
+            delete_documents_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()

backend/danswer/background/indexing/job_client.py

@@ -11,8 +11,7 @@ from typing import Any
 from typing import Literal
 from typing import Optional
 
-from danswer.configs.constants import POSTGRES_CELERY_WORKER_INDEXING_CHILD_APP_NAME
-from danswer.db.engine import SqlEngine
+from danswer.db.engine import get_sqlalchemy_engine
 from danswer.utils.logger import setup_logger
 
 logger = setup_logger()
@@ -38,9 +37,7 @@ def _initializer(
     if kwargs is None:
         kwargs = {}
 
-    logger.info("Initializing spawned worker child process.")
-    SqlEngine.set_app_name(POSTGRES_CELERY_WORKER_INDEXING_CHILD_APP_NAME)
-    SqlEngine.init_engine(pool_size=4, max_overflow=12, pool_recycle=60)
+    get_sqlalchemy_engine().dispose(close=False)
     return func(*args, **kwargs)
 
 

backend/danswer/background/indexing/run_indexing.py

@@ -1,7 +1,5 @@
 import time
 import traceback
-from abc import ABC
-from abc import abstractmethod
 from datetime import datetime
 from datetime import timedelta
 from datetime import timezone
@@ -16,22 +14,21 @@ 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.models import IndexAttemptMetadata
-from danswer.db.connector_credential_pair import get_connector_credential_pair_from_id
 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_session_with_tenant
+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_succeeded
-from danswer.db.index_attempt import transition_attempt_to_in_progress
 from danswer.db.index_attempt import update_docs_indexed
 from danswer.db.models import IndexAttempt
 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
@@ -42,30 +39,16 @@ logger = setup_logger()
 INDEXING_TRACER_NUM_PRINT_ENTRIES = 5
 
 
-class RunIndexingCallbackInterface(ABC):
-    """Defines a callback interface to be passed to
-    to run_indexing_entrypoint."""
-
-    @abstractmethod
-    def should_stop(self) -> bool:
-        """Signal to stop the looping function in flight."""
-
-    @abstractmethod
-    def progress(self, amount: int) -> None:
-        """Send progress updates to the caller."""
-
-
 def _get_connector_runner(
     db_session: Session,
     attempt: IndexAttempt,
     start_time: datetime,
     end_time: datetime,
-    tenant_id: str | None,
 ) -> ConnectorRunner:
     """
     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.
     """
@@ -78,23 +61,17 @@ def _get_connector_runner(
             input_type=task,
             connector_specific_config=attempt.connector_credential_pair.connector.connector_specific_config,
             credential=attempt.connector_credential_pair.credential,
-            tenant_id=tenant_id,
         )
     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
+        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,
         )
-        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,
-            )
         raise e
 
     return ConnectorRunner(
@@ -105,16 +82,11 @@ def _get_connector_runner(
 def _run_indexing(
     db_session: Session,
     index_attempt: IndexAttempt,
-    tenant_id: str | None,
-    callback: RunIndexingCallbackInterface | None = None,
 ) -> None:
     """
     1. Get documents which are either new or updated from specified application
     2. Embed and index these documents into the chosen datastore (vespa)
     3. Updates Postgres to record the indexed documents + the outcome of this run
-
-    TODO: do not change index attempt statuses here ... instead, set signals in redis
-    and allow the monitor function to clean them up
     """
     start_time = time.time()
 
@@ -131,26 +103,16 @@ def _run_indexing(
     )
 
     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,
-        ),
+        search_settings=search_settings
     )
 
     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 (search_settings.status == IndexModelStatus.FUTURE),
         db_session=db_session,
-        tenant_id=tenant_id,
     )
 
     db_cc_pair = index_attempt.connector_credential_pair
@@ -207,7 +169,6 @@ def _run_indexing(
                 attempt=index_attempt,
                 start_time=window_start,
                 end_time=window_end,
-                tenant_id=tenant_id,
             )
 
             all_connector_doc_ids: set[str] = set()
@@ -220,12 +181,7 @@ def _run_indexing(
                 # 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.
-                if callback:
-                    if callback.should_stop():
-                        raise RuntimeError("Connector stop signal detected")
-
-                # TODO: should we move this into the above callback instead?
-                db_session.refresh(db_cc_pair)
+                db_session.refresh(db_connector)
                 if (
                     (
                         db_cc_pair.status == ConnectorCredentialPairStatus.PAUSED
@@ -240,9 +196,7 @@ def _run_indexing(
                 db_session.refresh(index_attempt)
                 if index_attempt.status != IndexingStatus.IN_PROGRESS:
                     # Likely due to user manually disabling it or model swap
-                    raise RuntimeError(
-                        f"Index Attempt was canceled, status is {index_attempt.status}"
-                    )
+                    raise RuntimeError("Index Attempt was canceled")
 
                 batch_description = []
                 for doc in doc_batch:
@@ -262,8 +216,6 @@ def _run_indexing(
                 logger.debug(f"Indexing batch of documents: {batch_description}")
 
                 index_attempt_md.batch_num = batch_num + 1  # use 1-index for this
-
-                # real work happens here!
                 new_docs, total_batch_chunks = indexing_pipeline(
                     document_batch=doc_batch,
                     index_attempt_metadata=index_attempt_md,
@@ -282,9 +234,6 @@ def _run_indexing(
                 # be inaccurate
                 db_session.commit()
 
-                if callback:
-                    callback.progress(len(doc_batch))
-
                 # This new value is updated every batch, so UI can refresh per batch update
                 update_docs_indexed(
                     db_session=db_session,
@@ -408,13 +357,40 @@ def _run_indexing(
         )
 
 
+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
+    # status and marking it as in_progress. This setting will be discarded
+    # after the next commit:
+    # https://docs.sqlalchemy.org/en/20/orm/session_transaction.html#setting-isolation-for-individual-transactions
+    db_session.connection(execution_options={"isolation_level": "SERIALIZABLE"})  # type: ignore
+
+    attempt = get_index_attempt(
+        db_session=db_session,
+        index_attempt_id=index_attempt_id,
+    )
+
+    if attempt is None:
+        raise RuntimeError(f"Unable to find IndexAttempt for ID '{index_attempt_id}'")
+
+    if attempt.status != IndexingStatus.NOT_STARTED:
+        raise RuntimeError(
+            f"Indexing attempt with ID '{index_attempt_id}' is not in NOT_STARTED status. "
+            f"Current status is '{attempt.status}'."
+        )
+
+    # only commit once, to make sure this all happens in a single transaction
+    mark_attempt_in_progress(attempt, db_session)
+
+    return attempt
+
+
 def run_indexing_entrypoint(
-    index_attempt_id: int,
-    tenant_id: str | None,
-    connector_credential_pair_id: int,
-    is_ee: bool = False,
-    callback: RunIndexingCallbackInterface | None = None,
+    index_attempt_id: int, connector_credential_pair_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()
@@ -424,29 +400,26 @@ def run_indexing_entrypoint(
         IndexAttemptSingleton.set_cc_and_index_id(
             index_attempt_id, connector_credential_pair_id
         )
-        with get_session_with_tenant(tenant_id) as db_session:
-            attempt = transition_attempt_to_in_progress(index_attempt_id, db_session)
+
+        with Session(get_sqlalchemy_engine()) as db_session:
+            # make sure that it is valid to run this indexing attempt + mark it
+            # as in progress
+            attempt = _prepare_index_attempt(db_session, index_attempt_id)
 
             logger.info(
-                f"Indexing starting for tenant {tenant_id}: "
-                if tenant_id is not None
-                else ""
-                + f"connector='{attempt.connector_credential_pair.connector.name}' "
+                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}'"
             )
 
-            _run_indexing(db_session, attempt, tenant_id, callback)
+            _run_indexing(db_session, attempt)
 
             logger.info(
-                f"Indexing finished for tenant {tenant_id}: "
-                if tenant_id is not None
-                else ""
-                + f"connector='{attempt.connector_credential_pair.connector.name}' "
+                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}'"
             )
     except Exception as e:
-        logger.exception(
-            f"Indexing job with ID '{index_attempt_id}' for tenant {tenant_id} failed due to {e}"
-        )
+        logger.exception(f"Indexing job with ID '{index_attempt_id}' failed due to {e}")

backend/danswer/background/update.py

@@ -0,0 +1,485 @@
+import logging
+import time
+from datetime import datetime
+
+import dask
+from dask.distributed import Client
+from dask.distributed import Future
+from distributed import LocalCluster
+from sqlalchemy.orm import Session
+
+from danswer.background.indexing.dask_utils import ResourceLogger
+from danswer.background.indexing.job_client import SimpleJob
+from danswer.background.indexing.job_client import SimpleJobClient
+from danswer.background.indexing.run_indexing import run_indexing_entrypoint
+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.engine import get_db_current_time
+from danswer.db.engine import get_sqlalchemy_engine
+from danswer.db.engine import init_sqlalchemy_engine
+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_not_started_index_attempts
+from danswer.db.index_attempt import mark_attempt_failed
+from danswer.db.models import ConnectorCredentialPair
+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.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
+from shared_configs.configs import INDEXING_MODEL_SERVER_HOST
+from shared_configs.configs import LOG_LEVEL
+from shared_configs.configs import MODEL_SERVER_PORT
+
+logger = setup_logger()
+
+# If the indexing dies, it's most likely due to resource constraints,
+# restarting just delays the eventual failure, not useful to the user
+dask.config.set({"distributed.scheduler.allowed-failures": 0})
+
+_UNEXPECTED_STATE_FAILURE_REASON = (
+    "Stopped mid run, likely due to the background process being killed"
+)
+
+
+def _should_create_new_indexing(
+    cc_pair: ConnectorCredentialPair,
+    last_index: IndexAttempt | None,
+    search_settings_instance: SearchSettings,
+    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
+        ):
+            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:  # 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:
+        return False
+
+    if not last_index:
+        return True
+
+    if connector.refresh_freq is None:
+        return False
+
+    # 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
+    ):
+        return False
+
+    current_db_time = get_db_current_time(db_session)
+    time_since_index = current_db_time - last_index.time_updated
+    return time_since_index.total_seconds() >= connector.refresh_freq
+
+
+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}"
+    )
+    mark_attempt_failed(
+        index_attempt=index_attempt,
+        db_session=db_session,
+        failure_reason=failure_reason,
+    )
+
+
+"""Main funcs"""
+
+
+def create_indexing_jobs(existing_jobs: dict[int, Future | SimpleJob]) -> None:
+    """Creates new indexing jobs for each connector / credential pair which is:
+    1. Enabled
+    2. `refresh_frequency` time has passed since the last indexing run for this pair
+    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()
+        for attempt_id in existing_jobs:
+            attempt = get_index_attempt(
+                db_session=db_session, index_attempt_id=attempt_id
+            )
+            if attempt is None:
+                logger.error(
+                    f"Unable to find IndexAttempt for ID '{attempt_id}' when creating "
+                    "indexing jobs"
+                )
+                continue
+            ongoing.add(
+                (
+                    attempt.connector_credential_pair_id,
+                    attempt.search_settings_id,
+                )
+            )
+
+        # Get the primary search settings
+        primary_search_settings = get_current_search_settings(db_session)
+        search_settings = [primary_search_settings]
+
+        # 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_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
+
+                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
+
+                create_index_attempt(
+                    cc_pair.id, search_settings_instance.id, db_session
+                )
+
+
+def cleanup_indexing_jobs(
+    existing_jobs: dict[int, Future | SimpleJob],
+    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():
+            index_attempt = get_index_attempt(
+                db_session=db_session, index_attempt_id=attempt_id
+            )
+
+            # 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 job.status == "error":
+                logger.error(job.exception())
+
+            job.release()
+            del existing_jobs_copy[attempt_id]
+
+            if not index_attempt:
+                logger.error(
+                    f"Unable to find IndexAttempt for ID '{attempt_id}' when cleaning "
+                    "up indexing jobs"
+                )
+                continue
+
+            if (
+                index_attempt.status == IndexingStatus.IN_PROGRESS
+                or job.status == "error"
+            ):
+                _mark_run_failed(
+                    db_session=db_session,
+                    index_attempt=index_attempt,
+                    failure_reason=_UNEXPECTED_STATE_FAILURE_REASON,
+                )
+
+        # clean up in-progress jobs that were never completed
+        connectors = fetch_connectors(db_session)
+        for connector in connectors:
+            in_progress_indexing_attempts = get_inprogress_index_attempts(
+                connector.id, db_session
+            )
+            for index_attempt in in_progress_indexing_attempts:
+                if index_attempt.id in existing_jobs:
+                    # If index attempt is canceled, stop the run
+                    if index_attempt.status == IndexingStatus.FAILED:
+                        existing_jobs[index_attempt.id].cancel()
+                    # check to see if the job has been updated in last `timeout_hours` hours, if not
+                    # assume it to frozen in some bad state and just mark it as failed. Note: this relies
+                    # on the fact that the `time_updated` field is constantly updated every
+                    # batch of documents indexed
+                    current_db_time = get_db_current_time(db_session=db_session)
+                    time_since_update = current_db_time - index_attempt.time_updated
+                    if time_since_update.total_seconds() > 60 * 60 * timeout_hours:
+                        existing_jobs[index_attempt.id].cancel()
+                        _mark_run_failed(
+                            db_session=db_session,
+                            index_attempt=index_attempt,
+                            failure_reason="Indexing run frozen - no updates in the last three hours. "
+                            "The run will be re-attempted at next scheduled indexing time.",
+                        )
+                else:
+                    # If job isn't known, simply mark it as failed
+                    _mark_run_failed(
+                        db_session=db_session,
+                        index_attempt=index_attempt,
+                        failure_reason=_UNEXPECTED_STATE_FAILURE_REASON,
+                    )
+
+    return existing_jobs_copy
+
+
+def kickoff_indexing_jobs(
+    existing_jobs: dict[int, Future | SimpleJob],
+    client: Client | SimpleJobClient,
+    secondary_client: Client | SimpleJobClient,
+) -> dict[int, Future | SimpleJob]:
+    existing_jobs_copy = existing_jobs.copy()
+    engine = get_sqlalchemy_engine()
+
+    # 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)
+            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).")
+
+    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
+
+        use_secondary_index = (
+            search_settings.status == IndexModelStatus.FUTURE
+            if search_settings is not None
+            else False
+        )
+        if attempt.connector_credential_pair.connector is None:
+            logger.warning(
+                f"Skipping index attempt as Connector has been deleted: {attempt}"
+            )
+            with Session(engine) as db_session:
+                mark_attempt_failed(
+                    attempt, db_session, failure_reason="Connector is null"
+                )
+            continue
+        if attempt.connector_credential_pair.credential is None:
+            logger.warning(
+                f"Skipping index attempt as Credential has been deleted: {attempt}"
+            )
+            with Session(engine) as db_session:
+                mark_attempt_failed(
+                    attempt, db_session, failure_reason="Credential is null"
+                )
+            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
+        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
+
+        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 ""
+            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}'"
+            )
+            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:
+    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)
+
+        # 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,
+            )
+
+    client_primary: Client | SimpleJobClient
+    client_secondary: Client | SimpleJobClient
+    if DASK_JOB_CLIENT_ENABLED:
+        cluster_primary = LocalCluster(
+            n_workers=num_workers,
+            threads_per_worker=1,
+            # there are warning about high memory usage + "Event loop unresponsive"
+            # which are not relevant to us since our workers are expected to use a
+            # lot of memory + involve CPU intensive tasks that will not relinquish
+            # the event loop
+            silence_logs=logging.ERROR,
+        )
+        cluster_secondary = LocalCluster(
+            n_workers=num_secondary_workers,
+            threads_per_worker=1,
+            silence_logs=logging.ERROR,
+        )
+        client_primary = Client(cluster_primary)
+        client_secondary = Client(cluster_secondary)
+        if LOG_LEVEL.lower() == "debug":
+            client_primary.register_worker_plugin(ResourceLogger())
+    else:
+        client_primary = SimpleJobClient(n_workers=num_workers)
+        client_secondary = SimpleJobClient(n_workers=num_secondary_workers)
+
+    existing_jobs: dict[int, Future | SimpleJob] = {}
+
+    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}")
+
+        if existing_jobs:
+            # TODO: make this debug level once the "no jobs are being scheduled" issue is resolved
+            logger.debug(
+                "Found existing indexing jobs: "
+                f"{[(attempt_id, job.status) for attempt_id, job in existing_jobs.items()]}"
+            )
+
+        try:
+            with Session(get_sqlalchemy_engine()) as db_session:
+                check_index_swap(db_session)
+            existing_jobs = cleanup_indexing_jobs(existing_jobs=existing_jobs)
+            create_indexing_jobs(existing_jobs=existing_jobs)
+            existing_jobs = kickoff_indexing_jobs(
+                existing_jobs=existing_jobs,
+                client=client_primary,
+                secondary_client=client_secondary,
+            )
+        except Exception as e:
+            logger.exception(f"Failed to run update due to {e}")
+        sleep_time = delay - (time.time() - start)
+        if sleep_time > 0:
+            time.sleep(sleep_time)
+
+
+def update__main() -> None:
+    set_is_ee_based_on_env_variable()
+    init_sqlalchemy_engine(POSTGRES_INDEXER_APP_NAME)
+
+    logger.notice("Starting indexing service")
+    update_loop()
+
+
+if __name__ == "__main__":
+    update__main()

backend/danswer/chat/chat_utils.py

@@ -1,8 +1,6 @@
 import re
 from typing import cast
-from uuid import UUID
 
-from fastapi.datastructures import Headers
 from sqlalchemy.orm import Session
 
 from danswer.chat.models import CitationInfo
@@ -35,7 +33,7 @@ def llm_doc_from_inference_section(inference_section: InferenceSection) -> LlmDo
 
 
 def create_chat_chain(
-    chat_session_id: UUID,
+    chat_session_id: int,
     db_session: Session,
     prefetch_tool_calls: bool = True,
     # Optional id at which we finish processing
@@ -168,31 +166,3 @@ def reorganize_citations(
             new_citation_info[citation.citation_num] = citation
 
     return new_answer, list(new_citation_info.values())
-
-
-def extract_headers(
-    headers: dict[str, str] | Headers, pass_through_headers: list[str] | None
-) -> dict[str, str]:
-    """
-    Extract headers specified in pass_through_headers from input headers.
-    Handles both dict and FastAPI Headers objects, accounting for lowercase keys.
-
-    Args:
-        headers: Input headers as dict or Headers object.
-
-    Returns:
-        dict: Filtered headers based on pass_through_headers.
-    """
-    if not pass_through_headers:
-        return {}
-
-    extracted_headers: dict[str, str] = {}
-    for key in pass_through_headers:
-        if key in headers:
-            extracted_headers[key] = headers[key]
-        else:
-            # fastapi makes all header keys lowercase, handling that here
-            lowercase_key = key.lower()
-            if lowercase_key in headers:
-                extracted_headers[lowercase_key] = headers[lowercase_key]
-    return extracted_headers

backend/danswer/chat/load_yamls.py

@@ -6,6 +6,7 @@ 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.engine import get_sqlalchemy_engine
 from danswer.db.input_prompt import insert_input_prompt_if_not_exists
 from danswer.db.models import DocumentSet as DocumentSetDBModel
 from danswer.db.models import Persona
@@ -17,32 +18,30 @@ 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 +49,117 @@ 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")
+            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")
+            tool_ids = []
+            if persona.get("image_generation"):
+                image_gen_tool = (
+                    db_session.query(ToolDBModel)
+                    .filter(ToolDBModel.name == "ImageGenerationTool")
+                    .first()
+                )
+                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()
             )
-            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,
-        )
+            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:
+def load_input_prompts_from_yaml(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,
-        )
+    with Session(get_sqlalchemy_engine()) as db_session:
+        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)
+    load_input_prompts_from_yaml(input_prompts_yaml)

backend/danswer/chat/personas.yaml

@@ -41,19 +41,6 @@ personas:
     icon_color: "#6FB1FF"
     display_priority: 1
     is_visible: true
-    starter_messages:
-      - name: "General Information"
-        description: "Ask about available information"
-        message: "Hello! I'm interested in learning more about the information available here. Could you give me an overview of the types of data or documents that might be accessible?"
-      - name: "Specific Topic Search"
-        description: "Search for specific information"
-        message: "Hi! I'd like to learn more about a specific topic. Could you help me find relevant documents and information?"
-      - name: "Recent Updates"
-        description: "Inquire about latest additions"
-        message: "Hello! I'm curious about any recent updates or additions to the knowledge base. Can you tell me what new information has been added lately?"
-      - name: "Cross-referencing Information"
-        description: "Connect information from different sources"
-        message: "Hi! I'm working on a project that requires connecting information from multiple sources. How can I effectively cross-reference data across different documents or categories?"
 
   - id: 1
     name: "General"
@@ -70,19 +57,6 @@ personas:
     icon_color: "#FF6F6F"
     display_priority: 0
     is_visible: true
-    starter_messages:
-      - name: "Open Discussion"
-        description: "Start an open-ended conversation"
-        message: "Hi! Can you help me write a professional email?"
-      - name: "Problem Solving"
-        description: "Get help with a challenge"
-        message: "Hello! I need help managing my daily tasks better. Do you have any simple tips?"
-      - name: "Learn Something New"
-        description: "Explore a new topic"
-        message: "Hi! Could you explain what project management is in simple terms?"
-      - name: "Creative Brainstorming"
-        description: "Generate creative ideas"
-        message: "Hello! I need to brainstorm some team building activities. Do you have any fun suggestions?"
 
   - id: 2
     name: "Paraphrase"
@@ -99,19 +73,7 @@ personas:
     icon_color: "#6FFF8D"
     display_priority: 2
     is_visible: false
-    starter_messages:
-      - name: "Document Search"
-        description: "Find exact information"
-        message: "Hi! Could you help me find information about our team structure and reporting lines from our internal documents?"
-      - name: "Process Verification"
-        description: "Find exact quotes"
-        message: "Hello! I need to understand our project approval process. Could you find the exact steps from our documentation?"
-      - name: "Technical Documentation"
-        description: "Search technical details"
-        message: "Hi there! I'm looking for information about our deployment procedures. Can you find the specific steps from our technical guides?"
-      - name: "Policy Reference"
-        description: "Check official policies"
-        message: "Hello! Could you help me find our official guidelines about client communication? I need the exact wording from our documentation."
+
 
   - id: 3
     name: "Art"
@@ -124,21 +86,8 @@ personas:
     llm_filter_extraction: false
     recency_bias: "no_decay"
     document_sets: []
-    icon_shape: 234124
+    icon_shape: 234124 
     icon_color: "#9B59B6"
-    image_generation: true
+    image_generation: true 
     display_priority: 3
     is_visible: true
-    starter_messages:
-      - name: "Landscape"
-        description: "Generate a landscape image"
-        message: "Create an image of a serene mountain lake at sunset, with snow-capped peaks reflected in the calm water and a small wooden cabin on the shore."
-      - name: "Character"
-        description: "Generate a character image"
-        message: "Generate an image of a futuristic robot with glowing blue eyes, sleek metallic body, and intricate circuitry visible through transparent panels on its chest and arms."
-      - name: "Abstract"
-        description: "Create an abstract image"
-        message: "Create an abstract image representing the concept of time, using swirling clock hands, fragmented hourglasses, and streaks of light to convey the passage of moments and eras."
-      - name: "Urban Scene"
-        description: "Generate an urban landscape"
-        message: "Generate an image of a bustling futuristic cityscape at night, with towering skyscrapers, flying vehicles, holographic advertisements, and a mix of neon and bioluminescent lighting."

backend/danswer/chat/process_message.py

@@ -18,10 +18,6 @@ from danswer.chat.models import MessageResponseIDInfo
 from danswer.chat.models import MessageSpecificCitations
 from danswer.chat.models import QADocsResponse
 from danswer.chat.models import StreamingError
-from danswer.configs.app_configs import AZURE_DALLE_API_BASE
-from danswer.configs.app_configs import AZURE_DALLE_API_KEY
-from danswer.configs.app_configs import AZURE_DALLE_API_VERSION
-from danswer.configs.app_configs import AZURE_DALLE_DEPLOYMENT_NAME
 from danswer.configs.chat_configs import BING_API_KEY
 from danswer.configs.chat_configs import CHAT_TARGET_CHUNK_PERCENTAGE
 from danswer.configs.chat_configs import DISABLE_LLM_CHOOSE_SEARCH
@@ -105,7 +101,6 @@ from danswer.tools.tool import ToolResponse
 from danswer.tools.tool_runner import ToolCallFinalResult
 from danswer.tools.utils import compute_all_tool_tokens
 from danswer.tools.utils import explicit_tool_calling_supported
-from danswer.utils.headers import header_dict_to_header_list
 from danswer.utils.logger import setup_logger
 from danswer.utils.timing import log_generator_function_time
 
@@ -277,7 +272,6 @@ def stream_chat_message_objects(
     # on the `new_msg_req.message`. Currently, requires a state where the last message is a
     use_existing_user_message: bool = False,
     litellm_additional_headers: dict[str, str] | None = None,
-    custom_tool_additional_headers: dict[str, str] | None = None,
     is_connected: Callable[[], bool] | None = None,
     enforce_chat_session_id_for_search_docs: bool = True,
 ) -> ChatPacketStream:
@@ -566,26 +560,7 @@ def stream_chat_message_objects(
                         and llm.config.api_key
                         and llm.config.model_provider == "openai"
                     ):
-                        img_generation_llm_config = LLMConfig(
-                            model_provider=llm.config.model_provider,
-                            model_name="dall-e-3",
-                            temperature=GEN_AI_TEMPERATURE,
-                            api_key=llm.config.api_key,
-                            api_base=llm.config.api_base,
-                            api_version=llm.config.api_version,
-                        )
-                    elif (
-                        llm.config.model_provider == "azure"
-                        and AZURE_DALLE_API_KEY is not None
-                    ):
-                        img_generation_llm_config = LLMConfig(
-                            model_provider="azure",
-                            model_name=f"azure/{AZURE_DALLE_DEPLOYMENT_NAME}",
-                            temperature=GEN_AI_TEMPERATURE,
-                            api_key=AZURE_DALLE_API_KEY,
-                            api_base=AZURE_DALLE_API_BASE,
-                            api_version=AZURE_DALLE_API_VERSION,
-                        )
+                        img_generation_llm_config = llm.config
                     else:
                         llm_providers = fetch_existing_llm_providers(db_session)
                         openai_provider = next(
@@ -604,7 +579,7 @@ def stream_chat_message_objects(
                             )
                         img_generation_llm_config = LLMConfig(
                             model_provider=openai_provider.provider,
-                            model_name="dall-e-3",
+                            model_name=openai_provider.default_model_name,
                             temperature=GEN_AI_TEMPERATURE,
                             api_key=openai_provider.api_key,
                             api_base=openai_provider.api_base,
@@ -616,7 +591,6 @@ def stream_chat_message_objects(
                             api_base=img_generation_llm_config.api_base,
                             api_version=img_generation_llm_config.api_version,
                             additional_headers=litellm_additional_headers,
-                            model=img_generation_llm_config.model_name,
                         )
                     ]
                 elif tool_cls.__name__ == InternetSearchTool.__name__:
@@ -641,12 +615,7 @@ def stream_chat_message_objects(
                             chat_session_id=chat_session_id,
                             message_id=user_message.id if user_message else None,
                         ),
-                        custom_headers=(db_tool_model.custom_headers or [])
-                        + (
-                            header_dict_to_header_list(
-                                custom_tool_additional_headers or {}
-                            )
-                        ),
+                        custom_headers=db_tool_model.custom_headers,
                     ),
                 )
 
@@ -672,7 +641,6 @@ def stream_chat_message_objects(
                     all_docs_useful=selected_db_search_docs is not None
                 ),
                 document_pruning_config=document_pruning_config,
-                structured_response_format=new_msg_req.structured_response_format,
             ),
             prompt_config=prompt_config,
             llm=(
@@ -870,7 +838,6 @@ def stream_chat_message(
     user: User | None,
     use_existing_user_message: bool = False,
     litellm_additional_headers: dict[str, str] | None = None,
-    custom_tool_additional_headers: dict[str, str] | None = None,
     is_connected: Callable[[], bool] | None = None,
 ) -> Iterator[str]:
     with get_session_context_manager() as db_session:
@@ -880,7 +847,6 @@ def stream_chat_message(
             db_session=db_session,
             use_existing_user_message=use_existing_user_message,
             litellm_additional_headers=litellm_additional_headers,
-            custom_tool_additional_headers=custom_tool_additional_headers,
             is_connected=is_connected,
         )
         for obj in objects:

backend/danswer/configs/app_configs.py

@@ -43,9 +43,6 @@ WEB_DOMAIN = os.environ.get("WEB_DOMAIN") or "http://localhost:3000"
 AUTH_TYPE = AuthType((os.environ.get("AUTH_TYPE") or AuthType.DISABLED.value).lower())
 DISABLE_AUTH = AUTH_TYPE == AuthType.DISABLED
 
-# Necessary for cloud integration tests
-DISABLE_VERIFICATION = os.environ.get("DISABLE_VERIFICATION", "").lower() == "true"
-
 # Encryption key secret is used to encrypt connector credentials, api keys, and other sensitive
 # information. This provides an extra layer of security on top of Postgres access controls
 # and is available in Danswer EE
@@ -56,6 +53,7 @@ MASK_CREDENTIAL_PREFIX = (
     os.environ.get("MASK_CREDENTIAL_PREFIX", "True").lower() != "false"
 )
 
+
 SESSION_EXPIRE_TIME_SECONDS = int(
     os.environ.get("SESSION_EXPIRE_TIME_SECONDS") or 86400 * 7
 )  # 7 days
@@ -118,22 +116,17 @@ VESPA_HOST = os.environ.get("VESPA_HOST") or "localhost"
 VESPA_CONFIG_SERVER_HOST = os.environ.get("VESPA_CONFIG_SERVER_HOST") or VESPA_HOST
 VESPA_PORT = os.environ.get("VESPA_PORT") or "8081"
 VESPA_TENANT_PORT = os.environ.get("VESPA_TENANT_PORT") or "19071"
-
-VESPA_CLOUD_URL = os.environ.get("VESPA_CLOUD_URL", "")
-
 # The default below is for dockerized deployment
 VESPA_DEPLOYMENT_ZIP = (
     os.environ.get("VESPA_DEPLOYMENT_ZIP") or "/app/danswer/vespa-app.zip"
 )
-VESPA_CLOUD_CERT_PATH = os.environ.get("VESPA_CLOUD_CERT_PATH")
-VESPA_CLOUD_KEY_PATH = os.environ.get("VESPA_CLOUD_KEY_PATH")
-
 # Number of documents in a batch during indexing (further batching done by chunks before passing to bi-encoder)
 try:
     INDEX_BATCH_SIZE = int(os.environ.get("INDEX_BATCH_SIZE", 16))
 except ValueError:
     INDEX_BATCH_SIZE = 16
 
+
 # Below are intended to match the env variables names used by the official postgres docker image
 # https://hub.docker.com/_/postgres
 POSTGRES_USER = os.environ.get("POSTGRES_USER") or "postgres"
@@ -145,12 +138,6 @@ POSTGRES_HOST = os.environ.get("POSTGRES_HOST") or "localhost"
 POSTGRES_PORT = os.environ.get("POSTGRES_PORT") or "5432"
 POSTGRES_DB = os.environ.get("POSTGRES_DB") or "postgres"
 
-POSTGRES_API_SERVER_POOL_SIZE = int(
-    os.environ.get("POSTGRES_API_SERVER_POOL_SIZE") or 40
-)
-POSTGRES_API_SERVER_POOL_OVERFLOW = int(
-    os.environ.get("POSTGRES_API_SERVER_POOL_OVERFLOW") or 10
-)
 # defaults to False
 POSTGRES_POOL_PRE_PING = os.environ.get("POSTGRES_POOL_PRE_PING", "").lower() == "true"
 
@@ -177,64 +164,13 @@ REDIS_DB_NUMBER_CELERY_RESULT_BACKEND = int(
 )
 REDIS_DB_NUMBER_CELERY = int(os.environ.get("REDIS_DB_NUMBER_CELERY", 15))  # broker
 
-# will propagate to both our redis client as well as celery's redis client
-REDIS_HEALTH_CHECK_INTERVAL = int(os.environ.get("REDIS_HEALTH_CHECK_INTERVAL", 60))
-
-# our redis client only, not celery's
-REDIS_POOL_MAX_CONNECTIONS = int(os.environ.get("REDIS_POOL_MAX_CONNECTIONS", 128))
-
 # https://docs.celeryq.dev/en/stable/userguide/configuration.html#redis-backend-settings
 # should be one of "required", "optional", or "none"
 REDIS_SSL_CERT_REQS = os.getenv("REDIS_SSL_CERT_REQS", "none")
-REDIS_SSL_CA_CERTS = os.getenv("REDIS_SSL_CA_CERTS", None)
+REDIS_SSL_CA_CERTS = os.getenv("REDIS_SSL_CA_CERTS", "")
 
 CELERY_RESULT_EXPIRES = int(os.environ.get("CELERY_RESULT_EXPIRES", 86400))  # seconds
 
-# https://docs.celeryq.dev/en/stable/userguide/configuration.html#broker-pool-limit
-# Setting to None may help when there is a proxy in the way closing idle connections
-CELERY_BROKER_POOL_LIMIT_DEFAULT = 10
-try:
-    CELERY_BROKER_POOL_LIMIT = int(
-        os.environ.get("CELERY_BROKER_POOL_LIMIT", CELERY_BROKER_POOL_LIMIT_DEFAULT)
-    )
-except ValueError:
-    CELERY_BROKER_POOL_LIMIT = CELERY_BROKER_POOL_LIMIT_DEFAULT
-
-CELERY_WORKER_LIGHT_CONCURRENCY_DEFAULT = 24
-try:
-    CELERY_WORKER_LIGHT_CONCURRENCY = int(
-        os.environ.get(
-            "CELERY_WORKER_LIGHT_CONCURRENCY", CELERY_WORKER_LIGHT_CONCURRENCY_DEFAULT
-        )
-    )
-except ValueError:
-    CELERY_WORKER_LIGHT_CONCURRENCY = CELERY_WORKER_LIGHT_CONCURRENCY_DEFAULT
-
-CELERY_WORKER_LIGHT_PREFETCH_MULTIPLIER_DEFAULT = 8
-try:
-    CELERY_WORKER_LIGHT_PREFETCH_MULTIPLIER = int(
-        os.environ.get(
-            "CELERY_WORKER_LIGHT_PREFETCH_MULTIPLIER",
-            CELERY_WORKER_LIGHT_PREFETCH_MULTIPLIER_DEFAULT,
-        )
-    )
-except ValueError:
-    CELERY_WORKER_LIGHT_PREFETCH_MULTIPLIER = (
-        CELERY_WORKER_LIGHT_PREFETCH_MULTIPLIER_DEFAULT
-    )
-
-CELERY_WORKER_INDEXING_CONCURRENCY_DEFAULT = 1
-try:
-    env_value = os.environ.get("CELERY_WORKER_INDEXING_CONCURRENCY")
-    if not env_value:
-        env_value = os.environ.get("NUM_INDEXING_WORKERS")
-
-    if not env_value:
-        env_value = str(CELERY_WORKER_INDEXING_CONCURRENCY_DEFAULT)
-    CELERY_WORKER_INDEXING_CONCURRENCY = int(env_value)
-except ValueError:
-    CELERY_WORKER_INDEXING_CONCURRENCY = CELERY_WORKER_INDEXING_CONCURRENCY_DEFAULT
-
 #####
 # Connector Configs
 #####
@@ -290,6 +226,12 @@ CONFLUENCE_CONNECTOR_INDEX_ARCHIVED_PAGES = (
     os.environ.get("CONFLUENCE_CONNECTOR_INDEX_ARCHIVED_PAGES", "").lower() == "true"
 )
 
+# Save pages labels as Danswer metadata tags
+# The reason to skip this would be to reduce the number of calls to Confluence due to rate limit concerns
+CONFLUENCE_CONNECTOR_SKIP_LABEL_INDEXING = (
+    os.environ.get("CONFLUENCE_CONNECTOR_SKIP_LABEL_INDEXING", "").lower() == "true"
+)
+
 # Attachments exceeding this size will not be retrieved (in bytes)
 CONFLUENCE_CONNECTOR_ATTACHMENT_SIZE_THRESHOLD = int(
     os.environ.get("CONFLUENCE_CONNECTOR_ATTACHMENT_SIZE_THRESHOLD", 10 * 1024 * 1024)
@@ -305,10 +247,6 @@ JIRA_CONNECTOR_LABELS_TO_SKIP = [
     for ignored_tag in os.environ.get("JIRA_CONNECTOR_LABELS_TO_SKIP", "").split(",")
     if ignored_tag
 ]
-# Maximum size for Jira tickets in bytes (default: 100KB)
-JIRA_CONNECTOR_MAX_TICKET_SIZE = int(
-    os.environ.get("JIRA_CONNECTOR_MAX_TICKET_SIZE", 100 * 1024)
-)
 
 GONG_CONNECTOR_START_TIME = os.environ.get("GONG_CONNECTOR_START_TIME")
 
@@ -332,7 +270,7 @@ ALLOW_SIMULTANEOUS_PRUNING = (
     os.environ.get("ALLOW_SIMULTANEOUS_PRUNING", "").lower() == "true"
 )
 
-# This is the maximum rate at which documents are queried for a pruning job. 0 disables the limitation.
+# This is the maxiumum rate at which documents are queried for a pruning job. 0 disables the limitation.
 MAX_PRUNING_DOCUMENT_RETRIEVAL_PER_MINUTE = int(
     os.environ.get("MAX_PRUNING_DOCUMENT_RETRIEVAL_PER_MINUTE", 0)
 )
@@ -396,10 +334,12 @@ INDEXING_TRACER_INTERVAL = int(os.environ.get("INDEXING_TRACER_INTERVAL", 0))
 # exception without aborting the attempt.
 INDEXING_EXCEPTION_LIMIT = int(os.environ.get("INDEXING_EXCEPTION_LIMIT", 0))
 
-
 #####
 # Miscellaneous
 #####
+# File based Key Value store no longer used
+DYNAMIC_CONFIG_STORE = "PostgresBackedDynamicConfigStore"
+
 JOB_TIMEOUT = 60 * 60 * 6  # 6 hours default
 # used to allow the background indexing jobs to use a different embedding
 # model server than the API server
@@ -437,11 +377,6 @@ CUSTOM_ANSWER_VALIDITY_CONDITIONS = json.loads(
     os.environ.get("CUSTOM_ANSWER_VALIDITY_CONDITIONS", "[]")
 )
 
-VESPA_REQUEST_TIMEOUT = int(os.environ.get("VESPA_REQUEST_TIMEOUT") or "15")
-
-SYSTEM_RECURSION_LIMIT = int(os.environ.get("SYSTEM_RECURSION_LIMIT") or "1000")
-
-PARSE_WITH_TRAFILATURA = os.environ.get("PARSE_WITH_TRAFILATURA", "").lower() == "true"
 
 #####
 # Enterprise Edition Configs
@@ -453,31 +388,3 @@ PARSE_WITH_TRAFILATURA = os.environ.get("PARSE_WITH_TRAFILATURA", "").lower() ==
 ENTERPRISE_EDITION_ENABLED = (
     os.environ.get("ENABLE_PAID_ENTERPRISE_EDITION_FEATURES", "").lower() == "true"
 )
-
-# Azure DALL-E Configurations
-AZURE_DALLE_API_VERSION = os.environ.get("AZURE_DALLE_API_VERSION")
-AZURE_DALLE_API_KEY = os.environ.get("AZURE_DALLE_API_KEY")
-AZURE_DALLE_API_BASE = os.environ.get("AZURE_DALLE_API_BASE")
-AZURE_DALLE_DEPLOYMENT_NAME = os.environ.get("AZURE_DALLE_DEPLOYMENT_NAME")
-
-
-# Use managed Vespa (Vespa Cloud). If set, must also set VESPA_CLOUD_URL, VESPA_CLOUD_CERT_PATH and VESPA_CLOUD_KEY_PATH
-MANAGED_VESPA = os.environ.get("MANAGED_VESPA", "").lower() == "true"
-
-ENABLE_EMAIL_INVITES = os.environ.get("ENABLE_EMAIL_INVITES", "").lower() == "true"
-
-# Security and authentication
-DATA_PLANE_SECRET = os.environ.get(
-    "DATA_PLANE_SECRET", ""
-)  # Used for secure communication between the control and data plane
-EXPECTED_API_KEY = os.environ.get(
-    "EXPECTED_API_KEY", ""
-)  # Additional security check for the control plane API
-
-# API configuration
-CONTROL_PLANE_API_BASE_URL = os.environ.get(
-    "CONTROL_PLANE_API_BASE_URL", "http://localhost:8082"
-)
-
-# JWT configuration
-JWT_ALGORITHM = "HS256"

backend/danswer/configs/constants.py

@@ -1,5 +1,3 @@
-import platform
-import socket
 from enum import auto
 from enum import Enum
 
@@ -36,11 +34,7 @@ POSTGRES_WEB_APP_NAME = "web"
 POSTGRES_INDEXER_APP_NAME = "indexer"
 POSTGRES_CELERY_APP_NAME = "celery"
 POSTGRES_CELERY_BEAT_APP_NAME = "celery_beat"
-POSTGRES_CELERY_WORKER_PRIMARY_APP_NAME = "celery_worker_primary"
-POSTGRES_CELERY_WORKER_LIGHT_APP_NAME = "celery_worker_light"
-POSTGRES_CELERY_WORKER_HEAVY_APP_NAME = "celery_worker_heavy"
-POSTGRES_CELERY_WORKER_INDEXING_APP_NAME = "celery_worker_indexing"
-POSTGRES_CELERY_WORKER_INDEXING_CHILD_APP_NAME = "celery_worker_indexing_child"
+POSTGRES_CELERY_WORKER_APP_NAME = "celery_worker"
 POSTGRES_PERMISSIONS_APP_NAME = "permissions"
 POSTGRES_UNKNOWN_APP_NAME = "unknown"
 
@@ -52,7 +46,6 @@ UNNAMED_KEY_PLACEHOLDER = "Unnamed"
 # Key-Value store keys
 KV_REINDEX_KEY = "needs_reindexing"
 KV_SEARCH_SETTINGS = "search_settings"
-KV_UNSTRUCTURED_API_KEY = "unstructured_api_key"
 KV_USER_STORE_KEY = "INVITED_USERS"
 KV_NO_AUTH_USER_PREFERENCES_KEY = "no_auth_user_preferences"
 KV_CRED_KEY = "credential_id_{}"
@@ -67,20 +60,8 @@ KV_CUSTOMER_UUID_KEY = "customer_uuid"
 KV_INSTANCE_DOMAIN_KEY = "instance_domain"
 KV_ENTERPRISE_SETTINGS_KEY = "danswer_enterprise_settings"
 KV_CUSTOM_ANALYTICS_SCRIPT_KEY = "__custom_analytics_script__"
-KV_DOCUMENTS_SEEDED_KEY = "documents_seeded"
 
 CELERY_VESPA_SYNC_BEAT_LOCK_TIMEOUT = 60
-CELERY_PRIMARY_WORKER_LOCK_TIMEOUT = 120
-
-# needs to be long enough to cover the maximum time it takes to download an object
-# if we can get callbacks as object bytes download, we could lower this a lot.
-CELERY_INDEXING_LOCK_TIMEOUT = 60 * 60  # 60 min
-
-# needs to be long enough to cover the maximum time it takes to download an object
-# if we can get callbacks as object bytes download, we could lower this a lot.
-CELERY_PRUNING_LOCK_TIMEOUT = 300  # 5 min
-
-DANSWER_REDIS_FUNCTION_LOCK_PREFIX = "da_function_lock:"
 
 
 class DocumentSource(str, Enum):
@@ -123,17 +104,11 @@ class DocumentSource(str, Enum):
     R2 = "r2"
     GOOGLE_CLOUD_STORAGE = "google_cloud_storage"
     OCI_STORAGE = "oci_storage"
-    XENFORO = "xenforo"
     NOT_APPLICABLE = "not_applicable"
 
 
-DocumentSourceRequiringTenantContext: list[DocumentSource] = [DocumentSource.FILE]
-
-
 class NotificationType(str, Enum):
     REINDEX = "reindex"
-    PERSONA_SHARED = "persona_shared"
-    TRIAL_ENDS_TWO_DAYS = "two_day_trial_ending"  # 2 days left in trial
 
 
 class BlobType(str, Enum):
@@ -158,9 +133,6 @@ class AuthType(str, Enum):
     OIDC = "oidc"
     SAML = "saml"
 
-    # google auth and basic
-    CLOUD = "cloud"
-
 
 class SessionType(str, Enum):
     CHAT = "Chat"
@@ -207,22 +179,17 @@ class PostgresAdvisoryLocks(Enum):
 
 
 class DanswerCeleryQueues:
+    VESPA_DOCSET_SYNC_GENERATOR = "vespa_docset_sync_generator"
+    VESPA_USERGROUP_SYNC_GENERATOR = "vespa_usergroup_sync_generator"
     VESPA_METADATA_SYNC = "vespa_metadata_sync"
     CONNECTOR_DELETION = "connector_deletion"
-    CONNECTOR_PRUNING = "connector_pruning"
-    CONNECTOR_INDEXING = "connector_indexing"
 
 
 class DanswerRedisLocks:
-    PRIMARY_WORKER = "da_lock:primary_worker"
     CHECK_VESPA_SYNC_BEAT_LOCK = "da_lock:check_vespa_sync_beat"
-    CHECK_CONNECTOR_DELETION_BEAT_LOCK = "da_lock:check_connector_deletion_beat"
-    CHECK_PRUNE_BEAT_LOCK = "da_lock:check_prune_beat"
-    CHECK_INDEXING_BEAT_LOCK = "da_lock:check_indexing_beat"
     MONITOR_VESPA_SYNC_BEAT_LOCK = "da_lock:monitor_vespa_sync_beat"
-
-    PRUNING_LOCK_PREFIX = "da_lock:pruning"
-    INDEXING_METADATA_PREFIX = "da_metadata:indexing"
+    CHECK_CONNECTOR_DELETION_BEAT_LOCK = "da_lock:check_connector_deletion_beat"
+    MONITOR_CONNECTOR_DELETION_BEAT_LOCK = "da_lock:monitor_connector_deletion_beat"
 
 
 class DanswerCeleryPriority(int, Enum):
@@ -231,13 +198,3 @@ class DanswerCeleryPriority(int, Enum):
     MEDIUM = auto()
     LOW = auto()
     LOWEST = auto()
-
-
-REDIS_SOCKET_KEEPALIVE_OPTIONS = {}
-REDIS_SOCKET_KEEPALIVE_OPTIONS[socket.TCP_KEEPINTVL] = 15
-REDIS_SOCKET_KEEPALIVE_OPTIONS[socket.TCP_KEEPCNT] = 3
-
-if platform.system() == "Darwin":
-    REDIS_SOCKET_KEEPALIVE_OPTIONS[socket.TCP_KEEPALIVE] = 60  # type: ignore
-else:
-    REDIS_SOCKET_KEEPALIVE_OPTIONS[socket.TCP_KEEPIDLE] = 60  # type: ignore

backend/danswer/configs/tool_configs.py

@@ -1,22 +0,0 @@
-import json
-import os
-
-
-# if specified, will pass through request headers to the call to API calls made by custom tools
-CUSTOM_TOOL_PASS_THROUGH_HEADERS: list[str] | None = None
-_CUSTOM_TOOL_PASS_THROUGH_HEADERS_RAW = os.environ.get(
-    "CUSTOM_TOOL_PASS_THROUGH_HEADERS"
-)
-if _CUSTOM_TOOL_PASS_THROUGH_HEADERS_RAW:
-    try:
-        CUSTOM_TOOL_PASS_THROUGH_HEADERS = json.loads(
-            _CUSTOM_TOOL_PASS_THROUGH_HEADERS_RAW
-        )
-    except Exception:
-        # need to import here to avoid circular imports
-        from danswer.utils.logger import setup_logger
-
-        logger = setup_logger()
-        logger.error(
-            "Failed to parse CUSTOM_TOOL_PASS_THROUGH_HEADERS, must be a valid JSON object"
-        )

backend/danswer/connectors/README.md

@@ -13,8 +13,8 @@ Connectors come in 3 different flows:
   documents via a connector's API or loads the documents from some sort of a dump file.
 - Poll connector:
   - Incrementally updates documents based on a provided time range. It is used by the background job to pull the latest
-  changes and additions since the last round of polling. This connector helps keep the document index up to date
-  without needing to fetch/embed/index every document which would be too slow to do frequently on large sets of
+  changes additions and changes since the last round of polling. This connector helps keep the document index up to date
+  without needing to fetch/embed/index every document which generally be too slow to do frequently on large sets of
   documents.
 - Event Based connectors:
   - Connectors that listen to events and update documents accordingly.

backend/danswer/connectors/axero/connector.py

@@ -15,6 +15,7 @@ from danswer.connectors.cross_connector_utils.miscellaneous_utils import time_st
 from danswer.connectors.cross_connector_utils.rate_limit_wrapper import (
     rate_limit_builder,
 )
+from danswer.connectors.cross_connector_utils.retry_wrapper import retry_builder
 from danswer.connectors.interfaces import GenerateDocumentsOutput
 from danswer.connectors.interfaces import PollConnector
 from danswer.connectors.interfaces import SecondsSinceUnixEpoch
@@ -23,7 +24,6 @@ from danswer.connectors.models import Document
 from danswer.connectors.models import Section
 from danswer.file_processing.html_utils import parse_html_page_basic
 from danswer.utils.logger import setup_logger
-from danswer.utils.retry_wrapper import retry_builder
 
 
 logger = setup_logger()

backend/danswer/connectors/blob/connector.py

@@ -194,8 +194,8 @@ class BlobStorageConnector(LoadConnector, PollConnector):
 
                 try:
                     text = extract_file_text(
+                        name,
                         BytesIO(downloaded_file),
-                        file_name=name,
                         break_on_unprocessable=False,
                     )
                     batch.append(

backend/danswer/connectors/bookstack/connector.py

@@ -44,6 +44,8 @@ class BookstackConnector(LoadConnector, PollConnector):
         start: SecondsSinceUnixEpoch | None = None,
         end: SecondsSinceUnixEpoch | None = None,
     ) -> tuple[list[Document], int]:
+        doc_batch: list[Document] = []
+
         params = {
             "count": str(batch_size),
             "offset": str(start_ind),
@@ -61,7 +63,8 @@ class BookstackConnector(LoadConnector, PollConnector):
             )
 
         batch = bookstack_client.get(endpoint, params=params).get("data", [])
-        doc_batch = [transformer(bookstack_client, item) for item in batch]
+        for item in batch:
+            doc_batch.append(transformer(bookstack_client, item))
 
         return doc_batch, len(batch)
 

backend/danswer/connectors/clickup/connector.py

@@ -10,6 +10,7 @@ from danswer.configs.constants import DocumentSource
 from danswer.connectors.cross_connector_utils.rate_limit_wrapper import (
     rate_limit_builder,
 )
+from danswer.connectors.cross_connector_utils.retry_wrapper import retry_builder
 from danswer.connectors.interfaces import GenerateDocumentsOutput
 from danswer.connectors.interfaces import LoadConnector
 from danswer.connectors.interfaces import PollConnector
@@ -18,7 +19,6 @@ from danswer.connectors.models import BasicExpertInfo
 from danswer.connectors.models import ConnectorMissingCredentialError
 from danswer.connectors.models import Document
 from danswer.connectors.models import Section
-from danswer.utils.retry_wrapper import retry_builder
 
 
 CLICKUP_API_BASE_URL = "https://api.clickup.com/api/v2"
@@ -210,7 +210,6 @@ if __name__ == "__main__":
             "clickup_team_id": os.environ["clickup_team_id"],
         }
     )
-
     latest_docs = clickup_connector.load_from_state()
 
     for doc in latest_docs:

backend/danswer/connectors/confluence/onyx_confluence.py

@@ -1,226 +0,0 @@
-import math
-import time
-from collections.abc import Callable
-from collections.abc import Iterator
-from typing import Any
-from typing import cast
-from typing import TypeVar
-from urllib.parse import quote
-
-from atlassian import Confluence  # type:ignore
-from requests import HTTPError
-
-from danswer.utils.logger import setup_logger
-
-logger = setup_logger()
-
-
-F = TypeVar("F", bound=Callable[..., Any])
-
-
-RATE_LIMIT_MESSAGE_LOWERCASE = "Rate limit exceeded".lower()
-
-
-class ConfluenceRateLimitError(Exception):
-    pass
-
-
-def _handle_http_error(e: HTTPError, attempt: int) -> int:
-    MIN_DELAY = 2
-    MAX_DELAY = 60
-    STARTING_DELAY = 5
-    BACKOFF = 2
-
-    # Check if the response or headers are None to avoid potential AttributeError
-    if e.response is None or e.response.headers is None:
-        logger.warning("HTTPError with `None` as response or as headers")
-        raise e
-
-    if (
-        e.response.status_code != 429
-        and RATE_LIMIT_MESSAGE_LOWERCASE not in e.response.text.lower()
-    ):
-        raise e
-
-    retry_after = None
-
-    retry_after_header = e.response.headers.get("Retry-After")
-    if retry_after_header is not None:
-        try:
-            retry_after = int(retry_after_header)
-            if retry_after > MAX_DELAY:
-                logger.warning(
-                    f"Clamping retry_after from {retry_after} to {MAX_DELAY} seconds..."
-                )
-                retry_after = MAX_DELAY
-            if retry_after < MIN_DELAY:
-                retry_after = MIN_DELAY
-        except ValueError:
-            pass
-
-    if retry_after is not None:
-        logger.warning(
-            f"Rate limiting with retry header. Retrying after {retry_after} seconds..."
-        )
-        delay = retry_after
-    else:
-        logger.warning(
-            "Rate limiting without retry header. Retrying with exponential backoff..."
-        )
-        delay = min(STARTING_DELAY * (BACKOFF**attempt), MAX_DELAY)
-
-    delay_until = math.ceil(time.monotonic() + delay)
-    return delay_until
-
-
-# https://developer.atlassian.com/cloud/confluence/rate-limiting/
-# this uses the native rate limiting option provided by the
-# confluence client and otherwise applies a simpler set of error handling
-def handle_confluence_rate_limit(confluence_call: F) -> F:
-    def wrapped_call(*args: list[Any], **kwargs: Any) -> Any:
-        MAX_RETRIES = 5
-
-        TIMEOUT = 3600
-        timeout_at = time.monotonic() + TIMEOUT
-
-        for attempt in range(MAX_RETRIES):
-            if time.monotonic() > timeout_at:
-                raise TimeoutError(
-                    f"Confluence call attempts took longer than {TIMEOUT} seconds."
-                )
-
-            try:
-                # we're relying more on the client to rate limit itself
-                # and applying our own retries in a more specific set of circumstances
-                return confluence_call(*args, **kwargs)
-            except HTTPError as e:
-                delay_until = _handle_http_error(e, attempt)
-                while time.monotonic() < delay_until:
-                    # in the future, check a signal here to exit
-                    time.sleep(1)
-            except AttributeError as e:
-                # Some error within the Confluence library, unclear why it fails.
-                # Users reported it to be intermittent, so just retry
-                if attempt == MAX_RETRIES - 1:
-                    raise e
-
-                logger.exception(
-                    "Confluence Client raised an AttributeError. Retrying..."
-                )
-                time.sleep(5)
-
-    return cast(F, wrapped_call)
-
-
-_DEFAULT_PAGINATION_LIMIT = 100
-
-
-class OnyxConfluence(Confluence):
-    """
-    This is a custom Confluence class that overrides the default Confluence class to add a custom CQL method.
-    This is necessary because the default Confluence class does not properly support cql expansions.
-    All methods are automatically wrapped with handle_confluence_rate_limit.
-    """
-
-    def __init__(self, url: str, *args: Any, **kwargs: Any) -> None:
-        super(OnyxConfluence, self).__init__(url, *args, **kwargs)
-        self._wrap_methods()
-
-    def _wrap_methods(self) -> None:
-        """
-        For each attribute that is callable (i.e., a method) and doesn't start with an underscore,
-        wrap it with handle_confluence_rate_limit.
-        """
-        for attr_name in dir(self):
-            if callable(getattr(self, attr_name)) and not attr_name.startswith("_"):
-                setattr(
-                    self,
-                    attr_name,
-                    handle_confluence_rate_limit(getattr(self, attr_name)),
-                )
-
-    def _paginate_url(
-        self, url_suffix: str, limit: int | None = None
-    ) -> Iterator[list[dict[str, Any]]]:
-        """
-        This will paginate through the top level query.
-        """
-        if not limit:
-            limit = _DEFAULT_PAGINATION_LIMIT
-
-        connection_char = "&" if "?" in url_suffix else "?"
-        url_suffix += f"{connection_char}limit={limit}"
-
-        while url_suffix:
-            try:
-                next_response = self.get(url_suffix)
-            except Exception as e:
-                logger.exception("Error in danswer_cql: \n")
-                raise e
-            yield next_response.get("results", [])
-            url_suffix = next_response.get("_links", {}).get("next")
-
-    def paginated_groups_retrieval(
-        self,
-        limit: int | None = None,
-    ) -> Iterator[list[dict[str, Any]]]:
-        return self._paginate_url("rest/api/group", limit)
-
-    def paginated_group_members_retrieval(
-        self,
-        group_name: str,
-        limit: int | None = None,
-    ) -> Iterator[list[dict[str, Any]]]:
-        group_name = quote(group_name)
-        return self._paginate_url(f"rest/api/group/{group_name}/member", limit)
-
-    def paginated_cql_user_retrieval(
-        self,
-        cql: str,
-        expand: str | None = None,
-        limit: int | None = None,
-    ) -> Iterator[list[dict[str, Any]]]:
-        expand_string = f"&expand={expand}" if expand else ""
-        return self._paginate_url(
-            f"rest/api/search/user?cql={cql}{expand_string}", limit
-        )
-
-    def paginated_cql_page_retrieval(
-        self,
-        cql: str,
-        expand: str | None = None,
-        limit: int | None = None,
-    ) -> Iterator[list[dict[str, Any]]]:
-        expand_string = f"&expand={expand}" if expand else ""
-        return self._paginate_url(
-            f"rest/api/content/search?cql={cql}{expand_string}", limit
-        )
-
-    def cql_paginate_all_expansions(
-        self,
-        cql: str,
-        expand: str | None = None,
-        limit: int | None = None,
-    ) -> Iterator[list[dict[str, Any]]]:
-        """
-        This function will paginate through the top level query first, then
-        paginate through all of the expansions.
-        The limit only applies to the top level query.
-        All expansion paginations use default pagination limit (defined by Atlassian).
-        """
-
-        def _traverse_and_update(data: dict | list) -> None:
-            if isinstance(data, dict):
-                next_url = data.get("_links", {}).get("next")
-                if next_url and "results" in data:
-                    data["results"].extend(self._paginate_url(next_url))
-
-                for value in data.values():
-                    _traverse_and_update(value)
-            elif isinstance(data, list):
-                for item in data:
-                    _traverse_and_update(item)
-
-        for results in self.paginated_cql_page_retrieval(cql, expand, limit):
-            _traverse_and_update(results)
-            yield results

backend/danswer/connectors/confluence/rate_limit_handler.py

@@ -0,0 +1,76 @@
+import time
+from collections.abc import Callable
+from typing import Any
+from typing import cast
+from typing import TypeVar
+
+from requests import HTTPError
+
+from danswer.utils.logger import setup_logger
+
+logger = setup_logger()
+
+
+F = TypeVar("F", bound=Callable[..., Any])
+
+
+RATE_LIMIT_MESSAGE_LOWERCASE = "Rate limit exceeded".lower()
+
+
+class ConfluenceRateLimitError(Exception):
+    pass
+
+
+def make_confluence_call_handle_rate_limit(confluence_call: F) -> F:
+    def wrapped_call(*args: list[Any], **kwargs: Any) -> Any:
+        max_retries = 5
+        starting_delay = 5
+        backoff = 2
+        max_delay = 600
+
+        for attempt in range(max_retries):
+            try:
+                return confluence_call(*args, **kwargs)
+            except HTTPError as e:
+                # Check if the response or headers are None to avoid potential AttributeError
+                if e.response is None or e.response.headers is None:
+                    logger.warning("HTTPError with `None` as response or as headers")
+                    raise e
+
+                retry_after_header = e.response.headers.get("Retry-After")
+                if (
+                    e.response.status_code == 429
+                    or RATE_LIMIT_MESSAGE_LOWERCASE in e.response.text.lower()
+                ):
+                    retry_after = None
+                    if retry_after_header is not None:
+                        try:
+                            retry_after = int(retry_after_header)
+                        except ValueError:
+                            pass
+
+                    if retry_after is not None:
+                        logger.warning(
+                            f"Rate limit hit. Retrying after {retry_after} seconds..."
+                        )
+                        time.sleep(retry_after)
+                    else:
+                        logger.warning(
+                            "Rate limit hit. Retrying with exponential backoff..."
+                        )
+                        delay = min(starting_delay * (backoff**attempt), max_delay)
+                        time.sleep(delay)
+                else:
+                    # re-raise, let caller handle
+                    raise
+            except AttributeError as e:
+                # Some error within the Confluence library, unclear why it fails.
+                # Users reported it to be intermittent, so just retry
+                logger.warning(f"Confluence Internal Error, retrying... {e}")
+                delay = min(starting_delay * (backoff**attempt), max_delay)
+                time.sleep(delay)
+
+                if attempt == max_retries - 1:
+                    raise e
+
+    return cast(F, wrapped_call)

backend/danswer/connectors/confluence/utils.py

@@ -1,214 +0,0 @@
-import io
-from datetime import datetime
-from datetime import timezone
-from typing import Any
-
-import bs4
-
-from danswer.configs.app_configs import (
-    CONFLUENCE_CONNECTOR_ATTACHMENT_CHAR_COUNT_THRESHOLD,
-)
-from danswer.configs.app_configs import CONFLUENCE_CONNECTOR_ATTACHMENT_SIZE_THRESHOLD
-from danswer.connectors.confluence.onyx_confluence import (
-    OnyxConfluence,
-)
-from danswer.file_processing.extract_file_text import extract_file_text
-from danswer.file_processing.html_utils import format_document_soup
-from danswer.utils.logger import setup_logger
-
-logger = setup_logger()
-
-
-_USER_EMAIL_CACHE: dict[str, str | None] = {}
-
-
-def get_user_email_from_username__server(
-    confluence_client: OnyxConfluence, user_name: str
-) -> str | None:
-    global _USER_EMAIL_CACHE
-    if _USER_EMAIL_CACHE.get(user_name) is None:
-        try:
-            response = confluence_client.get_mobile_parameters(user_name)
-            email = response.get("email")
-        except Exception:
-            email = None
-        _USER_EMAIL_CACHE[user_name] = email
-    return _USER_EMAIL_CACHE[user_name]
-
-
-_USER_NOT_FOUND = "Unknown Confluence User"
-_USER_ID_TO_DISPLAY_NAME_CACHE: dict[str, str | None] = {}
-
-
-def _get_user(confluence_client: OnyxConfluence, user_id: str) -> str:
-    """Get Confluence Display Name based on the account-id or userkey value
-
-    Args:
-        user_id (str): The user id (i.e: the account-id or userkey)
-        confluence_client (Confluence): The Confluence Client
-
-    Returns:
-        str: The User Display Name. 'Unknown User' if the user is deactivated or not found
-    """
-    global _USER_ID_TO_DISPLAY_NAME_CACHE
-    if _USER_ID_TO_DISPLAY_NAME_CACHE.get(user_id) is None:
-        try:
-            result = confluence_client.get_user_details_by_userkey(user_id)
-            found_display_name = result.get("displayName")
-        except Exception:
-            found_display_name = None
-
-        if not found_display_name:
-            try:
-                result = confluence_client.get_user_details_by_accountid(user_id)
-                found_display_name = result.get("displayName")
-            except Exception:
-                found_display_name = None
-
-        _USER_ID_TO_DISPLAY_NAME_CACHE[user_id] = found_display_name
-
-    return _USER_ID_TO_DISPLAY_NAME_CACHE.get(user_id) or _USER_NOT_FOUND
-
-
-def extract_text_from_confluence_html(
-    confluence_client: OnyxConfluence, confluence_object: dict[str, Any]
-) -> str:
-    """Parse a Confluence html page and replace the 'user Id' by the real
-        User Display Name
-
-    Args:
-        confluence_object (dict): The confluence object as a dict
-        confluence_client (Confluence): Confluence client
-
-    Returns:
-        str: loaded and formated Confluence page
-    """
-    body = confluence_object["body"]
-    object_html = body.get("storage", body.get("view", {})).get("value")
-
-    soup = bs4.BeautifulSoup(object_html, "html.parser")
-    for user in soup.findAll("ri:user"):
-        user_id = (
-            user.attrs["ri:account-id"]
-            if "ri:account-id" in user.attrs
-            else user.get("ri:userkey")
-        )
-        if not user_id:
-            logger.warning(
-                "ri:userkey not found in ri:user element. " f"Found attrs: {user.attrs}"
-            )
-            continue
-        # Include @ sign for tagging, more clear for LLM
-        user.replaceWith("@" + _get_user(confluence_client, user_id))
-    return format_document_soup(soup)
-
-
-def attachment_to_content(
-    confluence_client: OnyxConfluence,
-    attachment: dict[str, Any],
-) -> str | None:
-    """If it returns None, assume that we should skip this attachment."""
-    if attachment["metadata"]["mediaType"] in [
-        "image/jpeg",
-        "image/png",
-        "image/gif",
-        "image/svg+xml",
-        "video/mp4",
-        "video/quicktime",
-    ]:
-        return None
-
-    download_link = confluence_client.url + attachment["_links"]["download"]
-
-    attachment_size = attachment["extensions"]["fileSize"]
-    if attachment_size > CONFLUENCE_CONNECTOR_ATTACHMENT_SIZE_THRESHOLD:
-        logger.warning(
-            f"Skipping {download_link} due to size. "
-            f"size={attachment_size} "
-            f"threshold={CONFLUENCE_CONNECTOR_ATTACHMENT_SIZE_THRESHOLD}"
-        )
-        return None
-
-    logger.info(f"_attachment_to_content - _session.get: link={download_link}")
-    response = confluence_client._session.get(download_link)
-    if response.status_code != 200:
-        logger.warning(
-            f"Failed to fetch {download_link} with invalid status code {response.status_code}"
-        )
-        return None
-
-    extracted_text = extract_file_text(
-        io.BytesIO(response.content),
-        file_name=attachment["title"],
-        break_on_unprocessable=False,
-    )
-    if len(extracted_text) > CONFLUENCE_CONNECTOR_ATTACHMENT_CHAR_COUNT_THRESHOLD:
-        logger.warning(
-            f"Skipping {download_link} due to char count. "
-            f"char count={len(extracted_text)} "
-            f"threshold={CONFLUENCE_CONNECTOR_ATTACHMENT_CHAR_COUNT_THRESHOLD}"
-        )
-        return None
-
-    return extracted_text
-
-
-def build_confluence_document_id(base_url: str, content_url: str) -> str:
-    """For confluence, the document id is the page url for a page based document
-        or the attachment download url for an attachment based document
-
-    Args:
-        base_url (str): The base url of the Confluence instance
-        content_url (str): The url of the page or attachment download url
-
-    Returns:
-        str: The document id
-    """
-    return f"{base_url}{content_url}"
-
-
-def extract_referenced_attachment_names(page_text: str) -> list[str]:
-    """Parse a Confluence html page to generate a list of current
-        attachments in use
-
-    Args:
-        text (str): The page content
-
-    Returns:
-        list[str]: List of filenames currently in use by the page text
-    """
-    referenced_attachment_filenames = []
-    soup = bs4.BeautifulSoup(page_text, "html.parser")
-    for attachment in soup.findAll("ri:attachment"):
-        referenced_attachment_filenames.append(attachment.attrs["ri:filename"])
-    return referenced_attachment_filenames
-
-
-def datetime_from_string(datetime_string: str) -> datetime:
-    datetime_object = datetime.fromisoformat(datetime_string)
-
-    if datetime_object.tzinfo is None:
-        # If no timezone info, assume it is UTC
-        datetime_object = datetime_object.replace(tzinfo=timezone.utc)
-    else:
-        # If not in UTC, translate it
-        datetime_object = datetime_object.astimezone(timezone.utc)
-
-    return datetime_object
-
-
-def build_confluence_client(
-    credentials_json: dict[str, Any], is_cloud: bool, wiki_base: str
-) -> OnyxConfluence:
-    return OnyxConfluence(
-        api_version="cloud" if is_cloud else "latest",
-        # Remove trailing slash from wiki_base if present
-        url=wiki_base.rstrip("/"),
-        # passing in username causes issues for Confluence data center
-        username=credentials_json["confluence_username"] if is_cloud else None,
-        password=credentials_json["confluence_access_token"] if is_cloud else None,
-        token=credentials_json["confluence_access_token"] if not is_cloud else None,
-        backoff_and_retry=True,
-        max_backoff_retries=60,
-        max_backoff_seconds=60,
-    )

backend/danswer/connectors/cross_connector_utils/miscellaneous_utils.py

@@ -11,10 +11,6 @@ from danswer.connectors.models import BasicExpertInfo
 from danswer.utils.text_processing import is_valid_email
 
 
-T = TypeVar("T")
-U = TypeVar("U")
-
-
 def datetime_to_utc(dt: datetime) -> datetime:
     if dt.tzinfo is None or dt.tzinfo.utcoffset(dt) is None:
         dt = dt.replace(tzinfo=timezone.utc)
@@ -53,6 +49,10 @@ def get_experts_stores_representations(
     return [owner for owner in reps if owner is not None]
 
 
+T = TypeVar("T")
+U = TypeVar("U")
+
+
 def process_in_batches(
     objects: list[T], process_function: Callable[[T], U], batch_size: int
 ) -> Iterator[list[U]]:

backend/danswer/connectors/cross_connector_utils/retry_wrapper.py

@@ -22,18 +22,18 @@ def retry_builder(
     jitter: tuple[float, float] | float = 1,
 ) -> Callable[[F], F]:
     """Builds a generic wrapper/decorator for calls to external APIs that
-    may fail due to rate limiting, flakes, or other reasons. Applies exponential
+    may fail due to rate limiting, flakes, or other reasons. Applies expontential
     backoff with jitter to retry the call."""
 
+    @retry(
+        tries=tries,
+        delay=delay,
+        max_delay=max_delay,
+        backoff=backoff,
+        jitter=jitter,
+        logger=cast(Logger, logger),
+    )
     def retry_with_default(func: F) -> F:
-        @retry(
-            tries=tries,
-            delay=delay,
-            max_delay=max_delay,
-            backoff=backoff,
-            jitter=jitter,
-            logger=cast(Logger, logger),
-        )
         def wrapped_func(*args: list, **kwargs: dict[str, Any]) -> Any:
             return func(*args, **kwargs)
 

backend/danswer/connectors/danswer_jira/connector.py

@@ -9,7 +9,6 @@ from jira.resources import Issue
 
 from danswer.configs.app_configs import INDEX_BATCH_SIZE
 from danswer.configs.app_configs import JIRA_CONNECTOR_LABELS_TO_SKIP
-from danswer.configs.app_configs import JIRA_CONNECTOR_MAX_TICKET_SIZE
 from danswer.configs.constants import DocumentSource
 from danswer.connectors.cross_connector_utils.miscellaneous_utils import time_str_to_utc
 from danswer.connectors.interfaces import GenerateDocumentsOutput
@@ -135,18 +134,10 @@ def fetch_jira_issues_batch(
             else extract_text_from_adf(jira.raw["fields"]["description"])
         )
         comments = _get_comment_strs(jira, comment_email_blacklist)
-        ticket_content = f"{description}\n" + "\n".join(
+        semantic_rep = f"{description}\n" + "\n".join(
             [f"Comment: {comment}" for comment in comments if comment]
         )
 
-        # Check ticket size
-        if len(ticket_content.encode("utf-8")) > JIRA_CONNECTOR_MAX_TICKET_SIZE:
-            logger.info(
-                f"Skipping {jira.key} because it exceeds the maximum size of "
-                f"{JIRA_CONNECTOR_MAX_TICKET_SIZE} bytes."
-            )
-            continue
-
         page_url = f"{jira_client.client_info()}/browse/{jira.key}"
 
         people = set()
@@ -189,7 +180,7 @@ def fetch_jira_issues_batch(
         doc_batch.append(
             Document(
                 id=page_url,
-                sections=[Section(link=page_url, text=ticket_content)],
+                sections=[Section(link=page_url, text=semantic_rep)],
                 source=DocumentSource.JIRA,
                 semantic_identifier=jira.fields.summary,
                 doc_updated_at=time_str_to_utc(jira.fields.updated),
@@ -245,12 +236,10 @@ class JiraConnector(LoadConnector, PollConnector):
         if self.jira_client is None:
             raise ConnectorMissingCredentialError("Jira")
 
-        # Quote the project name to handle reserved words
-        quoted_project = f'"{self.jira_project}"'
         start_ind = 0
         while True:
             doc_batch, fetched_batch_size = fetch_jira_issues_batch(
-                jql=f"project = {quoted_project}",
+                jql=f"project = {self.jira_project}",
                 start_index=start_ind,
                 jira_client=self.jira_client,
                 batch_size=self.batch_size,
@@ -278,10 +267,8 @@ class JiraConnector(LoadConnector, PollConnector):
             "%Y-%m-%d %H:%M"
         )
 
-        # Quote the project name to handle reserved words
-        quoted_project = f'"{self.jira_project}"'
         jql = (
-            f"project = {quoted_project} AND "
+            f"project = {self.jira_project} AND "
             f"updated >= '{start_date_str}' AND "
             f"updated <= '{end_date_str}'"
         )