test(explore): cover samples row limit edge cases

fix(explore): honor requested samples row limit up to the validated maximum
test(explore): add regression guard for samples row-limit cap
2026-08-15 20:41:28 +00:00 · 2026-08-14 00:30:21 +00:00 · 2026-08-14 00:30:21 +00:00 · 2026-08-14 00:30:21 +00:00
116 changed files with 867 additions and 6795 deletions
@@ -19,7 +19,7 @@

 # Notify PMC members of changes to extension-related files

-/docs/developer_docs/extensions/ @michael-s-molina @villebro @rusackas
+/docs/developer_portal/extensions/ @michael-s-molina @villebro @rusackas
 /superset-extensions-cli/ @michael-s-molina @villebro @rusackas @sadpandajoe
 /superset/extensions/ @michael-s-molina @villebro @rusackas @sadpandajoe
 /superset-frontend/src/extensions/ @michael-s-molina @villebro @rusackas @sadpandajoe
@@ -51,53 +51,6 @@ jobs:
          echo "matrix_config=${MATRIX_CONFIG}" >> $GITHUB_OUTPUT
          echo $GITHUB_OUTPUT

-  # Runs unconditionally (no dependency on `changes`, and no build-preset
-  # matrix restriction) so a regression in the PY_VER override logic is
-  # always caught on PRs. Without this, the real docker-build job only runs
-  # when the change detector flags docker/python/frontend changes (a
-  # workflow-only edit like this one does not), and even then the PR build
-  # matrix never includes the "py311"/"py312" presets that logic protects -
-  # so a break here would otherwise first surface on a push to master.
-  pyver-override-check:
-    name: verify docker build PY_VER override
-    runs-on: ubuntu-26.04
-    timeout-minutes: 5
-    steps:
-      - name: Checkout
-        uses: actions/checkout@3d3c42e5aac5ba805825da76410c181273ba90b1 # v7.0.1
-        with:
-          persist-credentials: false
-      - name: Setup supersetbot
-        uses: ./.github/actions/setup-supersetbot/
-      - name: Assert PY_VER override applies to every preset except py311/py312
-        shell: bash
-        env:
-          GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
-        run: |
-          set -euo pipefail
-          # Asserts against the actual buildx command line `supersetbot docker
-          # --dry-run` would run, not just this repo's own extra-flags helper,
-          # so a regression in supersetbot itself (dropping the py311/py312
-          # PY_VER pin, or reordering args so our override no longer lands
-          # last) is caught here too, instead of only surfacing on master.
-          assert_effective_py_ver() {
-            local preset="$1" expected="$2" extra_flags command actual
-            extra_flags="$(scripts/docker-build-extra-flags.sh "$preset" dummy-tag)"
-            command="$(supersetbot docker --preset "$preset" --platform linux/amd64 --extra-flags "$extra_flags" --dry-run)"
-            # docker buildx keeps the LAST value of a repeated --build-arg key.
-            actual="$(grep -oE -- '--build-arg PY_VER=[^[:space:]]+' <<<"$command" | tail -1)"
-            if [ "$actual" != "--build-arg PY_VER=$expected" ]; then
-              echo "::error::preset '$preset' expected effective --build-arg PY_VER=$expected, got: ${actual:-<none>} (full command: $command)"
-              exit 1
-            fi
-          }
-          for preset in dev lean websocket dockerize; do
-            assert_effective_py_ver "$preset" "3.11.14-slim-trixie"
-          done
-          assert_effective_py_ver py311 "3.11-slim-bookworm"
-          assert_effective_py_ver py312 "3.12-slim-bookworm"
-          echo "PY_VER override logic verified against the assembled buildx command for all build presets"
-
  docker-build:
    name: docker-build
    needs: [setup_matrix, changes]
@@ -171,21 +124,19 @@ jobs:
          # the whole job. buildx reuses the buildkit layer cache from the
          # failed attempt, so a retry mostly re-does just the failed push.
          #
-          # See scripts/docker-build-extra-flags.sh for why "py311"/"py312"
-          # are excluded from the PY_VER override applied to every other
-          # preset; that logic is also exercised on every PR by the
-          # always-on pyver-override-check job below, since this job itself
-          # only runs when the change detector flags docker/python/frontend
-          # changes and the PR build matrix never includes py311/py312.
-          EXTRA_FLAGS="$(scripts/docker-build-extra-flags.sh "$BUILD_PRESET" "$IMAGE_TAG")"
-
+          # supersetbot's "dev"/"lean" presets pin their own --build-arg
+          # PY_VER, which lands ahead of --extra-flags on the assembled
+          # buildx command line; docker/buildx keeps the last value for a
+          # repeated --build-arg key, so appending PY_VER here overrides
+          # supersetbot's pin and keeps the build on the Dockerfile's own
+          # supported Python version.
          for attempt in 1 2 3; do
            if supersetbot docker \
              $PUSH_OR_LOAD \
              --preset "$BUILD_PRESET" \
              --context "$EVENT" \
              --context-ref "$RELEASE" $FORCE_LATEST \
-              --extra-flags "$EXTRA_FLAGS" \
+              --extra-flags "--build-arg PY_VER=3.11.14-slim-trixie --build-arg INCLUDE_CHROMIUM=false --tag $IMAGE_TAG" \
              $PLATFORM_ARG; then
              break
            fi
@@ -1,135 +0,0 @@
-name: Frontend bundle size (nightly baseline + analyzer)
-
-# Refreshes the bundle-size baseline that superset-frontend.yml's `bundle-size`
-# job compares PRs against, and publishes a browsable bundle-analyzer treemap
-# report of the same build. Deliberately NOT triggered on every push to
-# master: a day-old baseline/report is fine for catching relative
-# regressions on PRs and for browsing what's actually in the bundle, and
-# building the production bundle on every one of the many pushes master
-# gets per day would burn CI time for no benefit a nightly refresh doesn't
-# already cover.
-on:
-  schedule:
-    - cron: "0 6 * * *"
-  workflow_dispatch: {}
-
-concurrency:
-  group: ${{ github.workflow }}
-  cancel-in-progress: true
-
-env:
-  TAG: apache/superset:bundle-size-nightly-${{ github.run_id }}
-
-permissions:
-  contents: read
-
-jobs:
-  refresh-baseline:
-    runs-on: ubuntu-26.04
-    timeout-minutes: 30
-    env:
-      NETLIFY_SITE_ID: ${{ secrets.NETLIFY_BUNDLE_ANALYZER_SITE_ID }}
-    steps:
-      - name: "Checkout master"
-        uses: actions/checkout@3d3c42e5aac5ba805825da76410c181273ba90b1 # v7.0.1
-        with:
-          persist-credentials: false
-          ref: master
-
-      - name: Build Docker Image
-        run: |
-          docker buildx build \
-            -t $TAG \
-            --cache-from=type=registry,ref=apache/superset-cache:3.11-slim-trixie \
-            --target superset-node-ci \
-            .
-
-      # Same cache the PR-time bundle-size job restores/writes -- webpack's
-      # persistent filesystem cache turns a warm production build into ~20s
-      # instead of several minutes. See superset-frontend.yml for the
-      # matching restore step and why it's keyed this way.
-      - name: Restore webpack build cache
-        uses: actions/cache@55cc8345863c7cc4c66a329aec7e433d2d1c52a9 # v6.1.0
-        with:
-          path: superset-frontend/.temp_cache
-          key: >-
-            webpack-prod-cache-${{ hashFiles('superset-frontend/package-lock.json',
-            'superset-frontend/babel.config.js', 'superset-frontend/tsconfig.json',
-            'superset-frontend/webpack.config.js') }}
-
-      # Only ever pull the last recorded data point off the cache, keyed by
-      # run ID -- `restore-keys` prefix-matches the most recently created
-      # entry. Absent on the very first run ever; benchmark-action starts a
-      # fresh history in that case.
-      - name: Restore bundle size history
-        uses: actions/cache/restore@55cc8345863c7cc4c66a329aec7e433d2d1c52a9 # v6.1.0
-        with:
-          path: bundle-size-history.json
-          key: bundle-size-history-${{ github.run_id }}
-          restore-keys: |
-            bundle-size-history-
-
-      # BUNDLE_ANALYZER rides along in the same build as BUNDLE_SIZE_STATS --
-      # they're independent env-gated additions in webpack.config.js (one
-      # sets `config.stats`, the other pushes plugins), so one production
-      # build produces both the numeric stats.json and the analyzer's
-      # report.html. Only report.html is mounted out, not
-      # BUNDLE_ANALYZER's sibling `statistics.html` sunburst -- that file is
-      # documented in webpack.config.js as routinely exceeding 100MB for
-      # this app (it's .gitignore'd for exactly that reason), too large to
-      # publish as a static site page.
-      - name: Build production bundle with stats and analyzer report
-        run: |
-          mkdir -p ${{ github.workspace }}/superset-frontend/bundle-stats
-          mkdir -p ${{ github.workspace }}/superset-frontend/.temp_cache
-          mkdir -p ${{ github.workspace }}/superset/static/assets
-          docker run \
-          -v ${{ github.workspace }}/superset-frontend/bundle-stats:/app/superset-frontend/bundle-stats \
-          -v ${{ github.workspace }}/superset-frontend/.temp_cache:/app/superset-frontend/.temp_cache \
-          -v ${{ github.workspace }}/superset/static/assets:/app/superset/static/assets \
-          --rm $TAG \
-          bash -c \
-          "npm i && BUNDLE_SIZE_STATS=true BUNDLE_ANALYZER=true npm run build -- --json=bundle-stats/stats.json"
-
-      - name: Summarize bundle size
-        run: |
-          node superset-frontend/scripts/bundle-size-summary.js \
-            superset-frontend/bundle-stats/stats.json > bundle-size-summary.json
-          rm -rf superset-frontend/bundle-stats
-
-      # No PR to comment on here, so comment-on-alert is off -- the job
-      # summary (summary-always) is the only surface for this run.
-      - name: Update bundle size baseline
-        uses: benchmark-action/github-action-benchmark@52576c92bccf6ac60c8223ec7eb2565637cae9ba # v1.22.1
-        with:
-          tool: customSmallerIsBetter
-          output-file-path: bundle-size-summary.json
-          external-data-json-path: bundle-size-history.json
-          fail-on-alert: false
-          summary-always: true
-
-      - name: Save bundle size history
-        uses: actions/cache/save@55cc8345863c7cc4c66a329aec7e433d2d1c52a9 # v6.1.0
-        with:
-          path: bundle-size-history.json
-          key: bundle-size-history-${{ github.run_id }}
-
-      # Publishes the treemap to Netlify (the same host already used for
-      # superset-storybook.netlify.app and docs previews, reusing the
-      # existing NETLIFY_AUTH_TOKEN). Skipped until
-      # NETLIFY_BUNDLE_ANALYZER_SITE_ID exists -- create a new (free)
-      # Netlify site named superset-bundle-analyzer and add its site ID as
-      # that secret to turn this on; nothing else in this workflow depends
-      # on it.
-      - name: Publish bundle analyzer report to Netlify
-        if: ${{ env.NETLIFY_SITE_ID != '' }}
-        env:
-          NETLIFY_AUTH_TOKEN: ${{ secrets.NETLIFY_AUTH_TOKEN }}
-        run: |
-          mkdir -p netlify-publish
-          cp superset/static/assets/report.html netlify-publish/index.html
-          # zizmor: ignore[adhoc-packages] - netlify-cli is a one-shot CI deploy
-          # tool, not an application dependency; a global/npx install has no
-          # lockfile context. Version pinned above the floor set by other
-          # ad-hoc installs in this repo (bump deliberately when upgrading).
-          npx --yes netlify-cli@27.0.1 deploy --prod --dir=netlify-publish
@@ -45,8 +45,5 @@ jobs:
      - name: Run Script
        run: bash .github/workflows/github-action-validator.sh

-      - name: Test docs-deploy freshness gate
-        run: bash .github/workflows/scripts/check-docs-deploy-freshness.test.sh
-
      - name: Check for security issues on GHA workflows
        uses: zizmorcore/zizmor-action@3dc1ecc9bcb9e94e9b2c709687979e1298497054 # v0.6.2
@@ -1,49 +0,0 @@
-#!/bin/bash
-#
-# Licensed to the Apache Software Foundation (ASF) under one or more
-# contributor license agreements.  See the NOTICE file distributed with
-# this work for additional information regarding copyright ownership.
-# The ASF licenses this file to You under the Apache License, Version 2.0
-# (the "License"); you may not use this file except in compliance with
-# the License.  You may obtain a copy of the License at
-#
-#    http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Shared freshness gate used by the Docs Deployment workflow
-# (superset-docs-deploy.yml) both up front (check-freshness) and again right
-# before the deploy step (recheck-freshness). Writes an output declaring
-# whether BUILD_SHA is still master's current tip, so a superseded run can
-# skip cleanly instead of racing (and clobbering, or being force-cancelled
-# by) a fresher run.
-#
-# Required env vars:
-#   BUILD_SHA     - the commit SHA this run is building
-#   REPO          - "owner/repo" to query, e.g. github.repository
-#   OUTPUT_NAME   - the GITHUB_OUTPUT key to write, e.g. "is-current"
-#   GITHUB_OUTPUT - path to append outputs to (set by the Actions runner)
-# Optional env vars:
-#   EVENT_NAME    - if "workflow_dispatch", bypasses the check and always
-#                   reports current, since a manual dispatch is a deliberate,
-#                   one-off action rather than something racing other triggers
-#   GH_TOKEN      - passed through to `gh`, needed to call the GitHub API
-
-set -euo pipefail
-
-if [ "${EVENT_NAME:-}" = "workflow_dispatch" ]; then
-  echo "${OUTPUT_NAME}=true" >>"$GITHUB_OUTPUT"
-  exit 0
-fi
-
-latest_sha="$(gh api "repos/${REPO}/commits/master" --jq .sha)"
-if [ "${latest_sha}" = "${BUILD_SHA}" ]; then
-  echo "${OUTPUT_NAME}=true" >>"$GITHUB_OUTPUT"
-else
-  echo "${OUTPUT_NAME}=false" >>"$GITHUB_OUTPUT"
-  echo "::notice::master has moved on to ${latest_sha} since ${BUILD_SHA} was triggered — skipping this stale run."
-fi
@@ -1,100 +0,0 @@
-#!/bin/bash
-#
-# Licensed to the Apache Software Foundation (ASF) under one or more
-# contributor license agreements.  See the NOTICE file distributed with
-# this work for additional information regarding copyright ownership.
-# The ASF licenses this file to You under the Apache License, Version 2.0
-# (the "License"); you may not use this file except in compliance with
-# the License.  You may obtain a copy of the License at
-#
-#    http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# Exercises check-docs-deploy-freshness.sh against a stubbed `gh`, covering
-# the dispatch-bypass, current-tip and stale-tip branches so the output
-# contract (is-current / still-current) can't silently regress. Run
-# directly, no extra tooling required:
-#   bash .github/workflows/scripts/check-docs-deploy-freshness.test.sh
-
-set -euo pipefail
-
-script_dir="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
-script_under_test="${script_dir}/check-docs-deploy-freshness.sh"
-
-failures=0
-
-# Runs the script under test with a stubbed `gh` reporting $1 as master's
-# latest sha, asserting that GITHUB_OUTPUT ends up containing exactly $4.
-run_case() {
-  local case_name="$1"
-  local latest_sha="$2"
-  local build_sha="$3"
-  local event_name="$4"
-  local expected_line="$5"
-
-  local workdir
-  workdir="$(mktemp -d)"
-  trap 'rm -rf "${workdir}"' RETURN
-
-  # Fake `gh` that just echoes back the requested "latest" sha regardless of
-  # arguments, so the script under test never touches the network.
-  cat >"${workdir}/gh" <<EOF
-#!/bin/bash
-echo '${latest_sha}'
-EOF
-  chmod +x "${workdir}/gh"
-
-  local output_file="${workdir}/github_output"
-  : >"${output_file}"
-
-  if PATH="${workdir}:${PATH}" \
-    GITHUB_OUTPUT="${output_file}" \
-    OUTPUT_NAME="is-current" \
-    REPO="apache/superset" \
-    BUILD_SHA="${build_sha}" \
-    EVENT_NAME="${event_name}" \
-    GH_TOKEN="fake-token" \
-    bash "${script_under_test}"; then
-    :
-  else
-    echo "FAIL (${case_name}): script exited non-zero"
-    failures=$((failures + 1))
-    return
-  fi
-
-  local actual
-  actual="$(cat "${output_file}")"
-  if [ "${actual}" = "${expected_line}" ]; then
-    echo "PASS (${case_name})"
-  else
-    echo "FAIL (${case_name}): expected '${expected_line}', got '${actual}'"
-    failures=$((failures + 1))
-  fi
-}
-
-# `gh` prints "should-not-be-called" for the dispatch case above the trick:
-# it's never actually invoked since the bypass short-circuits before the
-# `gh api` call, but the fake still needs a body.
-run_case "workflow_dispatch bypasses the check" \
-  "unused" "abc123" "workflow_dispatch" \
-  "is-current=true"
-
-run_case "build sha matches master's tip" \
-  "abc123" "abc123" "push" \
-  "is-current=true"
-
-run_case "build sha is stale" \
-  "def456" "abc123" "push" \
-  "is-current=false"
-
-if [ "${failures}" -gt 0 ]; then
-  echo "${failures} case(s) failed"
-  exit 1
-fi
-
-echo "All cases passed"
@@ -18,6 +18,16 @@ on:

  workflow_dispatch: {}

+# Serialize deploys: the action pushes to apache/superset-site without
+# rebasing, so concurrent runs race on the final push and the loser fails
+# with `! [rejected] asf-site -> asf-site (fetch first)`. Cancel any
+# in-progress run as soon as a newer one starts — the destination repo
+# isn't touched until the final push step, so canceling mid-build is safe,
+# and the freshest content always wins.
+concurrency:
+  group: docs-deploy-asf-site
+  cancel-in-progress: true
+
 permissions:
  contents: read
  actions: read
@@ -38,69 +48,17 @@ jobs:

        env:
          SUPERSET_SITE_BUILD: ${{ (secrets.SUPERSET_SITE_BUILD != '' && secrets.SUPERSET_SITE_BUILD != '') || '' }}
-
-  # Master gets frequent, sometimes bursty pushes, and each one can trigger a
-  # deploy attempt. Rather than let every superseded attempt get force-killed
-  # by the build-deploy concurrency group below (which shows up as a
-  # `cancelled` — i.e. red/failing-looking — check on that commit), have each
-  # run check up front whether it's still building master's current tip and,
-  # if not, skip cleanly. Deliberately outside the docs-deploy-asf-site
-  # concurrency group so it runs immediately for every trigger without
-  # blocking or being blocked by anything.
-  check-freshness:
-    runs-on: ubuntu-26.04
-    outputs:
-      is-current: ${{ steps.check.outputs.is-current }}
-    steps:
-      # Sparse checkout: this job's only job is to be fast, so it fetches
-      # nothing but the freshness-check script itself.
-      - name: Checkout freshness-check script
-        uses: actions/checkout@3d3c42e5aac5ba805825da76410c181273ba90b1 # v7.0.1
-        with:
-          persist-credentials: false
-          sparse-checkout: |
-            .github/workflows/scripts
-          sparse-checkout-cone-mode: false
-      - name: "Check whether this is still master's current commit"
-        id: check
-        env:
-          GH_TOKEN: ${{ secrets.GITHUB_TOKEN }}
-          BUILD_SHA: ${{ github.event.workflow_run.head_sha || github.sha }}
-          EVENT_NAME: ${{ github.event_name }}
-          REPO: ${{ github.repository }}
-          OUTPUT_NAME: is-current
-        run: .github/workflows/scripts/check-docs-deploy-freshness.sh
-
  build-deploy:
-    needs: [config, check-freshness]
-    # Only the run for master's current tip proceeds; anything superseded
-    # already skipped at check-freshness above instead of landing here.
+    needs: config
    # For workflow_run triggers, only deploy when the triggering run originated
    # from this repository (not a fork), ensuring the checked-out code and any
    # local actions executed with deploy credentials are trusted.
    if: >-
      needs.config.outputs.has-secrets &&
-      needs.check-freshness.outputs.is-current == 'true' &&
      (github.event_name != 'workflow_run' ||
       github.event.workflow_run.head_repository.full_name == github.repository)
    name: Build & Deploy
    runs-on: ubuntu-26.04
-    # Serialize deploys: the action pushes to apache/superset-site without
-    # rebasing, so concurrent runs race on the final push and the loser fails
-    # with `! [rejected] asf-site -> asf-site (fetch first)`. Queue instead of
-    # canceling: a run that already passed check-freshness can still be
-    # sitting in the queue for a runner when a newer run starts and finishes
-    # first. cancel-in-progress would let that stale, queued run kill the
-    # newer run's in-progress deploy the moment it's finally scheduled, and
-    # then skip itself at the re-check below — losing the deploy entirely.
-    # Queuing means the stale run just waits its turn and then no-ops at the
-    # re-check, so the fresher content that already deployed is never
-    # clobbered or lost. The check-freshness gate above means it should be
-    # rare for more than one run to reach this point, so the queue stays
-    # short in practice.
-    concurrency:
-      group: docs-deploy-asf-site
-      cancel-in-progress: false
    steps:
      - uses: Kesin11/actions-timeline@57fc93f20c6da7fbc14063c6d24a2a5627c799ad # v3.2.0
        with:
@@ -172,24 +130,7 @@ jobs:
        working-directory: docs
        run: |
          yarn build
-      # The check-freshness job above narrows the window but doesn't close it: an
-      # older run can observe is-current=true, then sit through this build while a
-      # newer run's own freshness check also passes and it deploys and finishes
-      # first. If this (stale) run then wins entry into the concurrency group, it
-      # would overwrite the newer content that already deployed. Re-check right
-      # before the one step that actually mutates superset-site, so a stale run
-      # skips deploying instead of clobbering a fresher one that already ran.
-      - name: "Re-check freshness immediately before deploying"
-        id: recheck-freshness
-        if: github.event_name != 'workflow_dispatch'
-        env:
-          GH_TOKEN: ${{ secrets.GITHUB_TOKEN }}
-          BUILD_SHA: ${{ github.event.workflow_run.head_sha || github.sha }}
-          REPO: ${{ github.repository }}
-          OUTPUT_NAME: still-current
-        run: .github/workflows/scripts/check-docs-deploy-freshness.sh
      - name: deploy docs
-        if: github.event_name == 'workflow_dispatch' || steps.recheck-freshness.outputs.still-current == 'true'
        uses: ./.github/actions/github-action-push-to-another-repository
        env:
          API_TOKEN_GITHUB: ${{ secrets.SUPERSET_SITE_BUILD }}
@@ -212,100 +212,3 @@ jobs:
      - uses: Kesin11/actions-timeline@57fc93f20c6da7fbc14063c6d24a2a5627c799ad # v3.2.0
        with:
          expand-composite-actions: true
-
-  # Compares a PR's own bundle size against the last nightly-recorded
-  # baseline (see frontend-bundle-size-nightly.yml, which owns actually
-  # persisting new baselines). PR-only: a push to master doesn't need this
-  # check re-run against itself, and re-persisting the baseline on every
-  # push to master -- which happens many times a day -- would burn a full
-  # production build for no benefit nightly refresh doesn't already cover.
-  bundle-size:
-    needs: frontend-build
-    if: needs.frontend-build.outputs.should-run == 'true' && github.event_name == 'pull_request'
-    runs-on: ubuntu-26.04
-    timeout-minutes: 15
-    permissions:
-      contents: read
-      pull-requests: write
-    steps:
-      - name: Checkout Code
-        uses: actions/checkout@3d3c42e5aac5ba805825da76410c181273ba90b1 # v7.0.1
-        with:
-          persist-credentials: false
-          ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }}
-
-      - name: Download Docker Image Artifact
-        uses: actions/download-artifact@3e5f45b2cfb9172054b4087a40e8e0b5a5461e7c # v8
-        with:
-          name: docker-image
-
-      - name: Load Docker Image
-        run: |
-          zstd -d < docker-image.tar.zst | docker load
-
-      # webpack's persistent filesystem cache (superset-frontend/webpack.config.js)
-      # turns a warm production build into ~20s instead of several minutes,
-      # but GH-hosted runners are fresh VMs with nothing carried over between
-      # jobs -- without restoring it explicitly, every single PR would pay
-      # the full cold-build cost. Keyed on the same files webpack's own
-      # `buildDependencies` invalidates on, so a stale cache is never used.
-      - name: Restore webpack build cache
-        uses: actions/cache@55cc8345863c7cc4c66a329aec7e433d2d1c52a9 # v6.1.0
-        with:
-          path: superset-frontend/.temp_cache
-          key: >-
-            webpack-prod-cache-${{ hashFiles('superset-frontend/package-lock.json',
-            'superset-frontend/babel.config.js', 'superset-frontend/tsconfig.json',
-            'superset-frontend/webpack.config.js') }}
-
-      # Only ever pull the last recorded data point off the cache, keyed by
-      # run ID -- `restore-keys` prefix-matches the most recently created
-      # entry, which is always the latest nightly run. Absent before the
-      # first nightly run ever happens; benchmark-action starts a fresh
-      # history in that case.
-      - name: Restore bundle size history
-        uses: actions/cache/restore@55cc8345863c7cc4c66a329aec7e433d2d1c52a9 # v6.1.0
-        with:
-          path: bundle-size-history.json
-          key: bundle-size-history-${{ github.run_id }}
-          restore-keys: |
-            bundle-size-history-
-
-      - name: Build production bundle with stats
-        run: |
-          mkdir -p ${{ github.workspace }}/superset-frontend/bundle-stats
-          mkdir -p ${{ github.workspace }}/superset-frontend/.temp_cache
-          docker run \
-          -v ${{ github.workspace }}/superset-frontend/bundle-stats:/app/superset-frontend/bundle-stats \
-          -v ${{ github.workspace }}/superset-frontend/.temp_cache:/app/superset-frontend/.temp_cache \
-          --rm $TAG \
-          bash -c \
-          "npm i && BUNDLE_SIZE_STATS=true npm run build -- --json=bundle-stats/stats.json"
-
-      - name: Summarize bundle size
-        run: |
-          node superset-frontend/scripts/bundle-size-summary.js \
-            superset-frontend/bundle-stats/stats.json > bundle-size-summary.json
-          rm -rf superset-frontend/bundle-stats
-
-      # Comparison + alert only -- this job never persists. See
-      # frontend-bundle-size-nightly.yml for why.
-      #
-      # comment-on-alert is gated to same-repo PRs: on a fork PR,
-      # GITHUB_TOKEN is forced read-only regardless of the `permissions`
-      # block above, so once the alert threshold is crossed the action's
-      # `pulls.createReview` call 403s. That error isn't gated by
-      # fail-on-alert (which only governs the deliberate alert-threshold
-      # failure) -- it propagates and fails the job outright. Fork PRs
-      # still get the comparison via the job summary (summary-always).
-      - name: Compare bundle size against nightly baseline
-        uses: benchmark-action/github-action-benchmark@52576c92bccf6ac60c8223ec7eb2565637cae9ba # v1.22.1
-        with:
-          tool: customSmallerIsBetter
-          output-file-path: bundle-size-summary.json
-          external-data-json-path: bundle-size-history.json
-          github-token: ${{ secrets.GITHUB_TOKEN }}
-          comment-on-alert: ${{ github.event.pull_request.head.repo.full_name == github.repository }}
-          alert-threshold: "110%"
-          fail-on-alert: false
-          summary-always: true
@@ -167,7 +167,7 @@ The Developer Portal auto-generates MDX documentation from Storybook stories. **
 ### Generator Location
 - Script: `docs/scripts/generate-superset-components.mjs`
 - Wrapper: `docs/src/components/StorybookWrapper.jsx`
- Output: `docs/developer_docs/components/`
+- Output: `docs/developer_portal/components/`

 ## Architecture Patterns

@@ -35,4 +35,4 @@ The Developer Portal includes comprehensive guides for:
 - [Code Review Process](https://superset.apache.org/developer_portal/contributing/code-review)
 - [Development How-tos](https://superset.apache.org/developer_portal/contributing/howtos)

-Source for the Developer Portal documentation is [located here](https://github.com/apache/superset/tree/master/docs/developer_docs).
+Source for the Developer Portal documentation is [located here](https://github.com/apache/superset/tree/master/docs/developer_portal).
@@ -31,8 +31,6 @@ under the License.
 [![Open PRs](https://img.shields.io/github/issues-pr/apache/superset)](https://github.com/apache/superset/pulls)
 [![Get on Slack](https://img.shields.io/badge/slack-join-orange.svg)](https://bit.ly/join-superset-slack)
 [![Documentation](https://img.shields.io/badge/docs-apache.org-blue.svg)](https://superset.apache.org)
-[![Storybook](https://img.shields.io/badge/storybook-live-ff4785.svg)](https://superset-storybook.netlify.app)
-[![Bundle Analyzer](https://img.shields.io/badge/bundle%20analyzer-nightly-8dd6f9.svg)](https://superset-bundle-analyzer.netlify.app)

 <picture width="500">
  <source
@@ -24,6 +24,8 @@ assists people when migrating to a new version.

 ## Next

+- `SAMPLES_ROW_LIMIT` is now the default for `/datasource/samples` requests without a valid explicit `per_page`, rather than a hard per-request ceiling; explicit limits are honored up to the existing global row-limit ceiling, matching `/chart/data` SAMPLES requests.
+
 ### OAuth2 database callback metrics include their outcome

 The unqualified `DatabaseRestApi.oauth2` StatsD counter has been replaced with
@@ -1,184 +0,0 @@
---
-title: Dashboard Performance
-hide_title: true
-sidebar_position: 5
-version: 1
---
-
-<!--
-Licensed to the Apache Software Foundation (ASF) under one
-or more contributor license agreements.  See the NOTICE file
-distributed with this work for additional information
-regarding copyright ownership.  The ASF licenses this file
-to you under the Apache License, Version 2.0 (the
-"License"); you may not use this file except in compliance
-with the License.  You may obtain a copy of the License at
-
-  http://www.apache.org/licenses/LICENSE-2.0
-
-Unless required by applicable law or agreed to in writing,
-software distributed under the License is distributed on an
-"AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
-KIND, either express or implied.  See the License for the
-specific language governing permissions and limitations
-under the License.
-->
-
-# Dashboard Performance
-
-A dashboard's perceived speed is determined by three independent things: how
-many charts have to render, how many queries the backend can execute
-concurrently, and how quickly the underlying data warehouse can return
-results. Superset gives you levers for the first two; the third belongs to
-your warehouse. This page covers the dashboard-side levers and the practical
-guidance around them.
-
-## Is there a maximum chart count per dashboard?
-
-**No hard limit is enforced** — Superset has no configuration key that
-caps the number of charts on a dashboard. In practice, dashboards behave
-well up to a few dozen charts. Beyond that, you'll typically feel friction
-on the initial load and during cross-filter / time-range updates, even with
-the lazy-loading optimizations described below.
-
-Rough thresholds to keep in mind:
-
- **Under ~25 charts**: usually no perceptible problem.
- **25–50 charts**: still fine, but you start to want tabs to break the
-  page into chunks the user actually looks at.
- **Over ~50 charts**: split into multiple dashboards or use tabs
-  aggressively. The bottleneck is rarely Superset itself — it's the
-  warehouse executing dozens of queries in parallel and the browser
-  rendering dozens of chart frames.
-
-These are guidelines, not guarantees. A dashboard of 100 sparkline-style
-charts hitting a fast cache behaves very differently from a dashboard of
-20 heavy aggregations against a cold warehouse.
-
-## Lazy rendering — `DASHBOARD_VIRTUALIZATION`
-
-Superset's dashboard layout is virtualized at the row level. Charts that
-are far below the user's current scroll position render a placeholder
-instead of their visualization until the user scrolls them into view, and
-go back to a placeholder if scrolled well past. The chart component itself
-stays mounted throughout — only the visualization is swapped for a
-placeholder — so this alone does **not** reduce backend query load; see
-[Deferred data fetch](#deferred-data-fetch--dashboard_virtualization_defer_data)
-below for that. This is on by default.
-
-**Feature flag**: `DASHBOARD_VIRTUALIZATION` (default: `True`)
-
-The flag is `stable` and marked for path-to-deprecation — meaning the
-behavior will eventually be non-optional, but the flag still exists so
-operators can disable it if a specific layout misbehaves.
-
-**Behavior** (from `superset-frontend/src/dashboard/components/gridComponents/Row/Row.tsx`):
-
- A chart's visualization is rendered when its row scrolls within **1
-  viewport height** of the visible area.
- A chart's visualization is swapped back for a placeholder when its row
-  scrolls more than **4 viewport heights** away from the visible area.
- Tabs that aren't currently selected don't render their content at all
-  (see below).
- The placeholder-swap-back is skipped in **embedded** mode (so an
-  embedded dashboard keeps its charts rendered once they've been seen,
-  which avoids re-rendering on scroll-up). Both halves are skipped for
-  **headless / bot** rendering (so screenshot / report jobs load every
-  chart).
-
-## Deferred data fetch — `DASHBOARD_VIRTUALIZATION_DEFER_DATA`
-
-By default, `DASHBOARD_VIRTUALIZATION` only controls whether a chart's
-*visualization* is rendered — the chart component still mounts and issues
-its data request immediately, regardless of scroll position.
-`DASHBOARD_VIRTUALIZATION_DEFER_DATA` is a supplementary flag that skips
-the data request itself for charts that aren't currently in view, useful
-for backends where opening a connection or compiling a query is expensive
-even if the result would be thrown away. It only has an effect when
-`DASHBOARD_VIRTUALIZATION` is also enabled — with virtualization off,
-every chart is treated as in view, so there's nothing left to defer.
-
-**Feature flag**: `DASHBOARD_VIRTUALIZATION_DEFER_DATA` (default: `False`)
-
-Enable this if you see warehouse load spike on dashboard *open* even
-though most charts are off-screen.
-
-## Per-tab lazy loading
-
-**This is on by default and has no flag.** A tab's content is not rendered
-until the user activates that tab, so charts inside an unselected tab do
-not fetch data on dashboard open. When the user clicks the tab, that
-tab's charts mount and fetch in the normal way.
-
-Practically: tabs are the single most effective tool for a large
-dashboard. Splitting 60 charts across 4 tabs effectively turns dashboard
-open into "load ~15 charts," and the remaining ones lazy-load only if the
-user goes looking.
-
-## Is there a switch to cap concurrent chart queries?
-
-**No.** Superset does not implement a frontend-side concurrent-request
-limiter. Each chart issues its own data request when it mounts, and the
-browser handles parallelism — typically ~6 in-flight requests per origin
-under HTTP/1.1, though HTTP/2 or HTTP/3 (if your deployment terminates
-TLS that way) can multiplex considerably more over a single connection.
-Backend throughput is bounded by your
-Gunicorn worker count for synchronous query execution, or by your Celery
-worker pool when [async queries](./async-queries-celery.mdx) are enabled.
-
-If you need to throttle warehouse load, the right place is:
-
-1. The warehouse itself (connection pool / concurrency limits).
-2. Superset's Celery configuration (smaller worker pool when async
-   queries are on).
-3. Splitting heavy charts across tabs or separate dashboards (each
-   dashboard load only fetches what's visible).
-
-## Splitting strategies
-
-When a dashboard outgrows comfortable performance, the options in order
-of effort:
-
-**1. Move sections into tabs.** Same dashboard, but only the active tab's
-charts fetch. This is the cheapest change and often the only one needed.
-
-**2. Cache aggressively.** A Redis cache backend (see
-[Caching](./cache.mdx)) means repeat dashboard loads serve from cache
-rather than re-hitting the warehouse. This is especially impactful for
-dashboards opened by many users in close succession.
-
-**3. Enable async queries.** [Async query execution](./async-queries-celery.mdx)
-via Celery decouples query duration from request lifetime, so a slow
-chart doesn't block the page. The user sees other charts come in as
-their queries complete.
-
-**4. Split into multiple dashboards.** Group related charts into purpose-
-specific dashboards rather than one mega-dashboard. Link them from a
-landing dashboard or a navigation menu.
-
-**5. Pre-aggregate at the warehouse level.** If the same expensive
-aggregation appears across many charts, materialize it as a view or
-scheduled table in the warehouse so each chart query is a cheap lookup.
-
-## Operational notes
-
- The feature flags above are set in `superset_config.py`, e.g.:
-
-  ```python
-  FEATURE_FLAGS = {
-      "DASHBOARD_VIRTUALIZATION": True,
-      "DASHBOARD_VIRTUALIZATION_DEFER_DATA": True,
-  }
-  ```
-
- See [Feature Flags](./feature-flags.mdx) for the full list of supported
-  flags and their lifecycle stages.
- Server-side screenshot jobs (alerts, scheduled reports, thumbnails)
-  render the dashboard in a headless, webdriver-controlled browser, which
-  intentionally bypasses row virtualization so the rendered artifact
-  includes every chart, not just the ones above the fold. User-triggered
-  "download as image/PDF" is different: it captures whatever's currently
-  rendered in the user's own browser, so it's still subject to
-  virtualization like any other page view. Metadata/YAML dashboard export
-  doesn't render the frontend at all, so virtualization doesn't apply to
-  it either.
@@ -519,30 +519,6 @@ sh -c "$(curl -fsSL https://raw.githubusercontent.com/nvm-sh/nvm/v0.37.0/install

 For those interested, you may also try out [avn](https://github.com/nvm-sh/nvm#deeper-shell-integration) to automatically switch to the node version that is required to run Superset frontend.

-##### zstd
-
-`npm run dev-server` proxies requests to your local Superset server and rewrites the HTML it returns, so it has to decompress responses sent with `Content-Encoding: zstd`. It does that with [`simple-zstd`](https://www.npmjs.com/package/simple-zstd), which wraps the system `zstd` binary instead of bundling one. That binary has to be on your `PATH`:
-
-```bash
-# macOS
-brew install zstd
-
-# Ubuntu/Debian
-sudo apt install zstd
-
-# Windows
-choco install zstd
-```
-
-`simple-zstd` looks for the binary when it is first imported, not when a response is decompressed, so a missing `zstd` stops the dev server at startup with:
-
-```
-Error: Can not access zstd! Is it installed?
-    at Object.<anonymous> (.../node_modules/simple-zstd/dist/src/index.js:102:11)
-```
-
-The message names the dependency, but it surfaces from inside `webpack.proxy-config.js` while the webpack config is loading, which reads like a build-tooling failure rather than a missing system package.
-
 #### Install dependencies

 Install third-party dependencies listed in `package.json` via:
@@ -198,7 +198,7 @@ Each component should come with its dedicated storybook file.

 **One component per story:** Each storybook file should only contain one component unless substantially different variants are required

-**Component variants:** If the component behavior is substantially different when certain props are used, it is best to separate the story into different types. See the `superset-frontend/packages/superset-ui-core/src/components/Select/Select.stories.tsx` as an example.
+**Component variants:** If the component behavior is substantially different when certain props are used, it is best to separate the story into different types. See the `superset-frontend/src/components/Select/Select.stories.tsx` as an example.

 **Isolated state:** The storybook should show how the component works in an isolated state and with as few dependencies as possible

@@ -58,12 +58,12 @@
    "@fontsource/inter": "^5.3.0",
    "@mdx-js/react": "^3.1.1",
    "@saucelabs/theme-github-codeblock": "^0.3.0",
-    "@storybook/addon-docs": "^10.5.7",
+    "@storybook/addon-docs": "^10.5.6",
    "@superset-ui/core": "^0.20.4",
    "@swc/core": "^1.15.47",
-    "antd": "^6.5.4",
+    "antd": "^6.5.3",
    "baseline-browser-mapping": "^2.11.12",
-    "caniuse-lite": "^1.0.30001807",
+    "caniuse-lite": "^1.0.30001806",
    "docusaurus-plugin-openapi-docs": "^5.1.3",
    "docusaurus-theme-openapi-docs": "^5.1.3",
    "js-yaml": "^5.2.3",
@@ -77,7 +77,7 @@
    "react-table": "^7.8.0",
    "remark-import-partial": "^0.0.2",
    "reselect": "^5.2.0",
-    "storybook": "^10.5.7",
+    "storybook": "^10.5.6",
    "swagger-ui-react": "^5.32.12",
    "swc-loader": "^0.2.7",
    "tinycolor2": "^1.4.2",
@@ -4095,23 +4095,23 @@
  resolved "https://registry.yarnpkg.com/@standard-schema/utils/-/utils-0.3.0.tgz#3d5e608f16c2390c10528e98e59aef6bf73cae7b"
  integrity sha512-e7Mew686owMaPJVNNLs55PUvgz371nKgwsc4vxE49zsODpJEnxgxRo2y/OKrqueavXgZNMDVj3DdHFlaSAeU8g==

-"@storybook/addon-docs@^10.5.7":
-  version "10.5.7"
-  resolved "https://registry.yarnpkg.com/@storybook/addon-docs/-/addon-docs-10.5.7.tgz#6d599c94fc871c248ce06a5c081f57655c83f40a"
-  integrity sha512-KNARJfjICaizinsR3INMEiipZm1ObYo+xw+E26gteu50Bcy2dIZUtk5uHY5XdtardU3AXX6yRXoBZ2HCY3lbHA==
+"@storybook/addon-docs@^10.5.6":
+  version "10.5.6"
+  resolved "https://registry.yarnpkg.com/@storybook/addon-docs/-/addon-docs-10.5.6.tgz#445d4e0992a0862a22bffcea321ee2cb034846b5"
+  integrity sha512-zyUJBrrpC9NTrmsREaVFNr+9WW6pikJtmRvo7GgZGqthEyhjQKSarHrW0aNWkwae2ep3jp1CZi8vIUVG1Dnp0w==
  dependencies:
    "@mdx-js/react" "^3.0.0"
-    "@storybook/csf-plugin" "10.5.7"
+    "@storybook/csf-plugin" "10.5.6"
    "@storybook/icons" "^2.0.2"
-    "@storybook/react-dom-shim" "10.5.7"
+    "@storybook/react-dom-shim" "10.5.6"
    react "^16.8.0 || ^17.0.0 || ^18.0.0 || ^19.0.0"
    react-dom "^16.8.0 || ^17.0.0 || ^18.0.0 || ^19.0.0"
    ts-dedent "^2.0.0"

-"@storybook/csf-plugin@10.5.7":
-  version "10.5.7"
-  resolved "https://registry.yarnpkg.com/@storybook/csf-plugin/-/csf-plugin-10.5.7.tgz#bc73f164d1b5f8e2931b2774f4b389a06453cf6e"
-  integrity sha512-IaX8FlM0H36HNFhJ2+4L9bCldqfvHGqcLg841SJNyK/DhfMlM7JsvY/GDH2ZFuWrUf8FSOx96GRRnHq6XfRKag==
+"@storybook/csf-plugin@10.5.6":
+  version "10.5.6"
+  resolved "https://registry.yarnpkg.com/@storybook/csf-plugin/-/csf-plugin-10.5.6.tgz#9fca28f5fd7d545a32638bb4f08902f6887072b2"
+  integrity sha512-PJLyOmcKe1OZDBw7RaGX/gjuiJuVfS5pVgc4W2RnHYOFpU6F5Bv9+9MqQwp0i7tWZBWc4fsCJudgVqwgjuTROA==
  dependencies:
    unplugin "^2.3.5"

@@ -4125,10 +4125,10 @@
  resolved "https://registry.yarnpkg.com/@storybook/icons/-/icons-2.1.0.tgz#edfc2450a39c5e780f28c6cbc49acd7bff59b41a"
  integrity sha512-Fxh9vYpX9bQqFeHRiY8h2ApeRGDzRSMLwJwNZ/AIRqnyOKHxRKL+yFe+ctEkVJmuptRE9u1Hrn8ZZNHyfDKKNg==

-"@storybook/react-dom-shim@10.5.7":
-  version "10.5.7"
-  resolved "https://registry.yarnpkg.com/@storybook/react-dom-shim/-/react-dom-shim-10.5.7.tgz#9a5aa0e0f89c09e71c6cbfc6bb1abeb537e5aabf"
-  integrity sha512-lxOkyh+wu/MiBXvYQHjZfD+DRKOa4bHBzbuGuiHXnHXmdOcTRdcrQTsoeN2FPtfugmmOG66cZUEgDwNX+k5eRA==
+"@storybook/react-dom-shim@10.5.6":
+  version "10.5.6"
+  resolved "https://registry.yarnpkg.com/@storybook/react-dom-shim/-/react-dom-shim-10.5.6.tgz#3685605c9dd27298fada7fef264801b2e7d62cbb"
+  integrity sha512-dV3oOHc5ImggxEqeIiUj4vvnQO5SKScFtqAkxgIWLju1wiSZSIqQ5Q4Mp12Rhs9hQrjF039DueH7f2xJJZfvSw==

 "@superset-ui/core@^0.20.4":
  version "0.20.4"
@@ -6164,10 +6164,10 @@ ansis@^3.2.0:
  resolved "https://registry.yarnpkg.com/ansis/-/ansis-3.17.0.tgz#fa8d9c2a93fe7d1177e0c17f9eeb562a58a832d7"
  integrity sha512-0qWUglt9JEqLFr3w1I1pbrChn1grhaiAR2ocX1PP/flRmxgtwTzPFFFnfIlD6aMOLQZgSuCRlidD70lvx8yhzg==

-antd@^6.5.4:
-  version "6.5.4"
-  resolved "https://registry.yarnpkg.com/antd/-/antd-6.5.4.tgz#b41665e86a5f46ca761abd3b0abef7460116ca0d"
-  integrity sha512-jchA6i0rEwHjLpgC+l6HeLHP0gL4Q4yjs6Mxqt6PlhGD5ArxCj3ZH+fKFbNquCtd6Rlzzi+emfNFpP2dGLwZzg==
+antd@^6.5.3:
+  version "6.5.3"
+  resolved "https://registry.yarnpkg.com/antd/-/antd-6.5.3.tgz#3c7d2ec4a20be116f72b7fbbdb4497d65ffd6dae"
+  integrity sha512-Q5r8sztf9Yk9B70bSUjnPYMCJ4A/eZM7uMoTj8UAhlSKR9aftjEuBEPcNSmRux7hB+87rxO8vN1X4HNjR97qyQ==
  dependencies:
    "@ant-design/colors" "^8.0.1"
    "@ant-design/cssinjs" "^2.1.2"
@@ -6745,10 +6745,10 @@ caniuse-api@^3.0.0:
    lodash.memoize "^4.1.2"
    lodash.uniq "^4.5.0"

-caniuse-lite@^1.0.0, caniuse-lite@^1.0.30001799, caniuse-lite@^1.0.30001807:
-  version "1.0.30001807"
-  resolved "https://registry.yarnpkg.com/caniuse-lite/-/caniuse-lite-1.0.30001807.tgz#a113854941fb45b4c1f51793f4636920489079b4"
-  integrity sha512-daRXJ9EB/rdRgu7kV+TTl1YUKtlsMWblPl2sLnpg9DZae16QCegol6A1SmCE31Lm9mXC1sRWGt/krouH+/dl7Q==
+caniuse-lite@^1.0.0, caniuse-lite@^1.0.30001799, caniuse-lite@^1.0.30001806:
+  version "1.0.30001806"
+  resolved "https://registry.yarnpkg.com/caniuse-lite/-/caniuse-lite-1.0.30001806.tgz#1bc8e502b723fa393455dfbedd5ccec0c29bb74e"
+  integrity sha512-72Cuvd95zbSYPKq6Fhg8eDJRlzgWDf7/mtoZv6Qe/DYNCEBdNxoA3+rZAU2ZhGCpZlns3EssFavaZomckT5Uuw==

 ccount@^2.0.0:
  version "2.0.1"
@@ -14765,10 +14765,10 @@ stop-iteration-iterator@^1.1.0:
    es-errors "^1.3.0"
    internal-slot "^1.1.0"

-storybook@^10.5.7:
-  version "10.5.7"
-  resolved "https://registry.yarnpkg.com/storybook/-/storybook-10.5.7.tgz#adfc465e51f337291c095278c23f1b8024ef2da7"
-  integrity sha512-oiKvWIwIoOhFP1i6dASYyMXwPHKEtVZMshqSB7EvIVYjWRh0l9H7gHEt1z4Gh2rLGFMekWdsm4s94rvwpR7gkg==
+storybook@^10.5.6:
+  version "10.5.6"
+  resolved "https://registry.yarnpkg.com/storybook/-/storybook-10.5.6.tgz#c91f22f617f3718dd06c58c87b46ff66f4ce7bf5"
+  integrity sha512-VhYwqxPySa24CVXKoWD6gCZXx9//DTmo43YpusGuAoHDYj5Osjt8wuBRQVeGoaLUWnHiPWv8S+GYHrJEaBM6Rg==
  dependencies:
    "@storybook/global" "^5.0.0"
    "@storybook/icons" "^2.0.2"
@@ -42,7 +42,7 @@ dependencies = [
    # ``google-auth`` 2.53+ dropped it, so Superset must declare it
    # explicitly to keep fresh ``pip install apache-superset`` working
    # without the ``base.txt`` lock file (#40962).
-    "cachetools>=7.1.7, <8",
+    "cachetools>=7.1.6, <8",
    "celery>=5.6.3, <6.0.0",
    "click>=8.4.2",
    "click-option-group",
@@ -75,7 +75,7 @@ dependencies = [
    "humanize",
    "isodate",
    "jsonpath-ng>=1.8.0, <2",
-    "Mako>=1.4.1",
+    "Mako>=1.2.2",
    "markdown>=3.10.3",
    # marshmallow 4 compatibility: see superset/marshmallow_compatibility.py for a
    # Flask-AppBuilder workaround. Tracking issue:
@@ -221,7 +221,7 @@ ocient = [
    # unpinned sqlalchemy>=1.4 declared, but SQLAlchemy 2.0 support is
    # unverified. Lower confidence than the other bumps in this PR.
    "sqlalchemy-ocient>=3.0.0, <4",
-    "pyocient>=3.9.0, <4",
+    "pyocient>=1.0.15, <4",
    "shapely",
    "geojson",
 ]
@@ -28,7 +28,7 @@ numexpr>=2.9.0
 # Security: CVE-2026-34073 (MEDIUM) - Improper Certificate Validation
 cryptography>=50.0.0,<51.0.0
 # Security: Snyk - XSS vulnerability in Mako templates
-mako>=1.4.1,<2.0.0
+mako>=1.3.11,<2.0.0
 # Security: CVE-2024-52338 (CRITICAL) - Deserialization of untrusted data in IPC/Parquet readers
 pyarrow>=24.0.0,<26.0.0
 # Security: CVE-2026-27459 - pyopenssl certificate validation
@@ -44,7 +44,7 @@ cachelib==0.13.0
    # via
    #   flask-caching
    #   flask-session
-cachetools==7.1.7
+cachetools==7.1.6
    # via apache-superset (pyproject.toml)
 cattrs==25.1.1
    # via requests-cache
@@ -207,7 +207,7 @@ kombu==5.6.2
    # via celery
 limits==5.1.0
    # via flask-limiter
-mako==1.4.1
+mako==1.3.12
    # via
    #   -r requirements/base.in
    #   apache-superset (pyproject.toml)
@@ -99,7 +99,7 @@ cachelib==0.13.0
    #   -c requirements/base-constraint.txt
    #   flask-caching
    #   flask-session
-cachetools==7.1.7
+cachetools==7.1.6
    # via
    #   -c requirements/base-constraint.txt
    #   apache-superset
@@ -510,7 +510,7 @@ limits==5.1.0
    #   flask-limiter
 lz4==4.4.5
    # via trino
-mako==1.4.1
+mako==1.3.12
    # via
    #   -c requirements/base-constraint.txt
    #   alembic
@@ -1,48 +0,0 @@
-#!/usr/bin/env bash
-# Licensed to the Apache Software Foundation (ASF) under one
-# or more contributor license agreements.  See the NOTICE file
-# distributed with this work for additional information
-# regarding copyright ownership.  The ASF licenses this file
-# to you under the Apache License, Version 2.0 (the
-# "License"); you may not use this file except in compliance
-# with the License.  You may obtain a copy of the License at
-#
-#   http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing,
-# software distributed under the License is distributed on an
-# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
-# KIND, either express or implied.  See the License for the
-# specific language governing permissions and limitations
-# under the License.
-
-# Computes the `--extra-flags` value passed to `supersetbot docker` for a
-# given build preset. Factored out of .github/workflows/docker.yml so the
-# PY_VER override logic below can be exercised by an always-on CI check
-# (docker.yml's docker-build job only runs when the change detector's
-# docker/python/frontend outputs are true, and the PR build matrix never
-# includes py311/py312 at all, so a regression here would otherwise go
-# unnoticed until the fix actually runs on master) without duplicating -
-# and risking drift from - the logic used by the real build step.
-#
-# supersetbot's "py311"/"py312" presets pin their own --build-arg PY_VER,
-# which lands ahead of --extra-flags on the assembled buildx command line;
-# docker/buildx keeps the last value for a repeated --build-arg key, so
-# appending PY_VER here would override supersetbot's pin and silently make
-# "py311"/"py312" build the exact same image as "lean". Every other preset
-# gets the override so its build lands on the Dockerfile's own supported
-# Python version.
-#
-# Usage: docker-build-extra-flags.sh <build_preset> <image_tag>
-
-set -euo pipefail
-
-BUILD_PRESET="${1:?usage: docker-build-extra-flags.sh <build_preset> <image_tag>}"
-IMAGE_TAG="${2:?usage: docker-build-extra-flags.sh <build_preset> <image_tag>}"
-
-EXTRA_FLAGS="--build-arg INCLUDE_CHROMIUM=false --tag $IMAGE_TAG"
-if [ "$BUILD_PRESET" != "py311" ] && [ "$BUILD_PRESET" != "py312" ]; then
-  EXTRA_FLAGS="--build-arg PY_VER=3.11.14-slim-trixie $EXTRA_FLAGS"
-fi
-
-echo "$EXTRA_FLAGS"
@@ -19,7 +19,6 @@
        "@babel/preset-typescript": "7.29.7",
        "@types/node": "^25.4.0",
        "babel-loader": "^9.1.3",
-        "jsdom": "^26.1.0",
        "tscw-config": "^1.1.2",
        "typescript": "^5.9.3",
        "vitest": "^4.0.18",
@@ -27,27 +26,6 @@
        "webpack-cli": "^5.1.4"
      }
    },
-    "node_modules/@asamuzakjp/css-color": {
-      "version": "3.2.0",
-      "resolved": "https://registry.npmjs.org/@asamuzakjp/css-color/-/css-color-3.2.0.tgz",
-      "integrity": "sha512-K1A6z8tS3XsmCMM86xoWdn7Fkdn9m6RSVtocUrJYIwZnFVkng/PvkEoWtOWmP+Scc6saYWHWZYbndEEXxl24jw==",
-      "dev": true,
-      "license": "MIT",
-      "dependencies": {
-        "@csstools/css-calc": "^2.1.3",
-        "@csstools/css-color-parser": "^3.0.9",
-        "@csstools/css-parser-algorithms": "^3.0.4",
-        "@csstools/css-tokenizer": "^3.0.3",
-        "lru-cache": "^10.4.3"
-      }
-    },
-    "node_modules/@asamuzakjp/css-color/node_modules/lru-cache": {
-      "version": "10.4.3",
-      "resolved": "https://registry.npmjs.org/lru-cache/-/lru-cache-10.4.3.tgz",
-      "integrity": "sha512-JNAzZcXrCt42VGLuYz0zfAzDfAvJWW6AfYlDBQyDV5DClI2m5sAmK+OIO7s59XfsRsWHp02jAJrRadPRGTt6SQ==",
-      "dev": true,
-      "license": "ISC"
-    },
    "node_modules/@babel/cli": {
      "version": "7.29.7",
      "resolved": "https://registry.npmjs.org/@babel/cli/-/cli-7.29.7.tgz",
@@ -1678,121 +1656,6 @@
        "node": ">=6.9.0"
      }
    },
-    "node_modules/@csstools/color-helpers": {
-      "version": "5.1.0",
-      "resolved": "https://registry.npmjs.org/@csstools/color-helpers/-/color-helpers-5.1.0.tgz",
-      "integrity": "sha512-S11EXWJyy0Mz5SYvRmY8nJYTFFd1LCNV+7cXyAgQtOOuzb4EsgfqDufL+9esx72/eLhsRdGZwaldu/h+E4t4BA==",
-      "dev": true,
-      "funding": [
-        {
-          "type": "github",
-          "url": "https://github.com/sponsors/csstools"
-        },
-        {
-          "type": "opencollective",
-          "url": "https://opencollective.com/csstools"
-        }
-      ],
-      "license": "MIT-0",
-      "engines": {
-        "node": ">=18"
-      }
-    },
-    "node_modules/@csstools/css-calc": {
-      "version": "2.1.4",
-      "resolved": "https://registry.npmjs.org/@csstools/css-calc/-/css-calc-2.1.4.tgz",
-      "integrity": "sha512-3N8oaj+0juUw/1H3YwmDDJXCgTB1gKU6Hc/bB502u9zR0q2vd786XJH9QfrKIEgFlZmhZiq6epXl4rHqhzsIgQ==",
-      "dev": true,
-      "funding": [
-        {
-          "type": "github",
-          "url": "https://github.com/sponsors/csstools"
-        },
-        {
-          "type": "opencollective",
-          "url": "https://opencollective.com/csstools"
-        }
-      ],
-      "license": "MIT",
-      "engines": {
-        "node": ">=18"
-      },
-      "peerDependencies": {
-        "@csstools/css-parser-algorithms": "^3.0.5",
-        "@csstools/css-tokenizer": "^3.0.4"
-      }
-    },
-    "node_modules/@csstools/css-color-parser": {
-      "version": "3.1.0",
-      "resolved": "https://registry.npmjs.org/@csstools/css-color-parser/-/css-color-parser-3.1.0.tgz",
-      "integrity": "sha512-nbtKwh3a6xNVIp/VRuXV64yTKnb1IjTAEEh3irzS+HkKjAOYLTGNb9pmVNntZ8iVBHcWDA2Dof0QtPgFI1BaTA==",
-      "dev": true,
-      "funding": [
-        {
-          "type": "github",
-          "url": "https://github.com/sponsors/csstools"
-        },
-        {
-          "type": "opencollective",
-          "url": "https://opencollective.com/csstools"
-        }
-      ],
-      "license": "MIT",
-      "dependencies": {
-        "@csstools/color-helpers": "^5.1.0",
-        "@csstools/css-calc": "^2.1.4"
-      },
-      "engines": {
-        "node": ">=18"
-      },
-      "peerDependencies": {
-        "@csstools/css-parser-algorithms": "^3.0.5",
-        "@csstools/css-tokenizer": "^3.0.4"
-      }
-    },
-    "node_modules/@csstools/css-parser-algorithms": {
-      "version": "3.0.5",
-      "resolved": "https://registry.npmjs.org/@csstools/css-parser-algorithms/-/css-parser-algorithms-3.0.5.tgz",
-      "integrity": "sha512-DaDeUkXZKjdGhgYaHNJTV9pV7Y9B3b644jCLs9Upc3VeNGg6LWARAT6O+Q+/COo+2gg/bM5rhpMAtf70WqfBdQ==",
-      "dev": true,
-      "funding": [
-        {
-          "type": "github",
-          "url": "https://github.com/sponsors/csstools"
-        },
-        {
-          "type": "opencollective",
-          "url": "https://opencollective.com/csstools"
-        }
-      ],
-      "license": "MIT",
-      "engines": {
-        "node": ">=18"
-      },
-      "peerDependencies": {
-        "@csstools/css-tokenizer": "^3.0.4"
-      }
-    },
-    "node_modules/@csstools/css-tokenizer": {
-      "version": "3.0.4",
-      "resolved": "https://registry.npmjs.org/@csstools/css-tokenizer/-/css-tokenizer-3.0.4.tgz",
-      "integrity": "sha512-Vd/9EVDiu6PPJt9yAh6roZP6El1xHrdvIVGjyBsHR0RYwNHgL7FJPyIIW4fANJNG6FtyZfvlRPpFI4ZM/lubvw==",
-      "dev": true,
-      "funding": [
-        {
-          "type": "github",
-          "url": "https://github.com/sponsors/csstools"
-        },
-        {
-          "type": "opencollective",
-          "url": "https://opencollective.com/csstools"
-        }
-      ],
-      "license": "MIT",
-      "engines": {
-        "node": ">=18"
-      }
-    },
    "node_modules/@discoveryjs/json-ext": {
      "version": "0.5.6",
      "resolved": "https://registry.npmjs.org/@discoveryjs/json-ext/-/json-ext-0.5.6.tgz",
@@ -2638,16 +2501,6 @@
        "acorn": "^8.14.0"
      }
    },
-    "node_modules/agent-base": {
-      "version": "7.1.4",
-      "resolved": "https://registry.npmjs.org/agent-base/-/agent-base-7.1.4.tgz",
-      "integrity": "sha512-MnA+YT8fwfJPgBx3m60MNqakm30XOkyIoH1y6huTQvC0PwZG7ki8NacLBcrPbNoo8vEZy7Jpuk7+jMO+CUovTQ==",
-      "dev": true,
-      "license": "MIT",
-      "engines": {
-        "node": ">= 14"
-      }
-    },
    "node_modules/ajv": {
      "version": "8.20.0",
      "resolved": "https://registry.npmjs.org/ajv/-/ajv-8.20.0.tgz",
@@ -3015,34 +2868,6 @@
        "node": ">= 8"
      }
    },
-    "node_modules/cssstyle": {
-      "version": "4.6.0",
-      "resolved": "https://registry.npmjs.org/cssstyle/-/cssstyle-4.6.0.tgz",
-      "integrity": "sha512-2z+rWdzbbSZv6/rhtvzvqeZQHrBaqgogqt85sqFNbabZOuFbCVFb8kPeEtZjiKkbrm395irpNKiYeFeLiQnFPg==",
-      "dev": true,
-      "license": "MIT",
-      "dependencies": {
-        "@asamuzakjp/css-color": "^3.2.0",
-        "rrweb-cssom": "^0.8.0"
-      },
-      "engines": {
-        "node": ">=18"
-      }
-    },
-    "node_modules/data-urls": {
-      "version": "5.0.0",
-      "resolved": "https://registry.npmjs.org/data-urls/-/data-urls-5.0.0.tgz",
-      "integrity": "sha512-ZYP5VBHshaDAiVZxjbRVcFJpc+4xGgT0bK3vzy1HLN8jTO975HEbuYzZJcHoQEY5K1a0z8YayJkyVETa08eNTg==",
-      "dev": true,
-      "license": "MIT",
-      "dependencies": {
-        "whatwg-mimetype": "^4.0.0",
-        "whatwg-url": "^14.0.0"
-      },
-      "engines": {
-        "node": ">=18"
-      }
-    },
    "node_modules/debug": {
      "version": "4.4.3",
      "resolved": "https://registry.npmjs.org/debug/-/debug-4.4.3.tgz",
@@ -3061,13 +2886,6 @@
        }
      }
    },
-    "node_modules/decimal.js": {
-      "version": "10.6.0",
-      "resolved": "https://registry.npmjs.org/decimal.js/-/decimal.js-10.6.0.tgz",
-      "integrity": "sha512-YpgQiITW3JXGntzdUmyUR1V812Hn8T1YVXhCu+wO3OpS4eU9l4YdD3qjyiKdV6mvV29zapkMeD390UVEf2lkUg==",
-      "dev": true,
-      "license": "MIT"
-    },
    "node_modules/detect-libc": {
      "version": "2.1.2",
      "resolved": "https://registry.npmjs.org/detect-libc/-/detect-libc-2.1.2.tgz",
@@ -3097,19 +2915,6 @@
        "node": ">=10.13.0"
      }
    },
-    "node_modules/entities": {
-      "version": "6.0.1",
-      "resolved": "https://registry.npmjs.org/entities/-/entities-6.0.1.tgz",
-      "integrity": "sha512-aN97NXWF6AWBTahfVOIrB/NShkzi5H7F9r1s9mD3cDj4Ko5f2qhhVoYMibXF7GlLveb/D2ioWay8lxI97Ven3g==",
-      "dev": true,
-      "license": "BSD-2-Clause",
-      "engines": {
-        "node": ">=0.12"
-      },
-      "funding": {
-        "url": "https://github.com/fb55/entities?sponsor=1"
-      }
-    },
    "node_modules/envinfo": {
      "version": "7.13.0",
      "resolved": "https://registry.npmjs.org/envinfo/-/envinfo-7.13.0.tgz",
@@ -3511,60 +3316,6 @@
        "node": ">= 0.4"
      }
    },
-    "node_modules/html-encoding-sniffer": {
-      "version": "4.0.0",
-      "resolved": "https://registry.npmjs.org/html-encoding-sniffer/-/html-encoding-sniffer-4.0.0.tgz",
-      "integrity": "sha512-Y22oTqIU4uuPgEemfz7NDJz6OeKf12Lsu+QC+s3BVpda64lTiMYCyGwg5ki4vFxkMwQdeZDl2adZoqUgdFuTgQ==",
-      "dev": true,
-      "license": "MIT",
-      "dependencies": {
-        "whatwg-encoding": "^3.1.1"
-      },
-      "engines": {
-        "node": ">=18"
-      }
-    },
-    "node_modules/http-proxy-agent": {
-      "version": "7.0.2",
-      "resolved": "https://registry.npmjs.org/http-proxy-agent/-/http-proxy-agent-7.0.2.tgz",
-      "integrity": "sha512-T1gkAiYYDWYx3V5Bmyu7HcfcvL7mUrTWiM6yOfa3PIphViJ/gFPbvidQ+veqSOHci/PxBcDabeUNCzpOODJZig==",
-      "dev": true,
-      "license": "MIT",
-      "dependencies": {
-        "agent-base": "^7.1.0",
-        "debug": "^4.3.4"
-      },
-      "engines": {
-        "node": ">= 14"
-      }
-    },
-    "node_modules/https-proxy-agent": {
-      "version": "7.0.6",
-      "resolved": "https://registry.npmjs.org/https-proxy-agent/-/https-proxy-agent-7.0.6.tgz",
-      "integrity": "sha512-vK9P5/iUfdl95AI+JVyUuIcVtd4ofvtrOr3HNtM2yxC9bnMbEdp3x01OhQNnjb8IJYi38VlTE3mBXwcfvywuSw==",
-      "dev": true,
-      "license": "MIT",
-      "dependencies": {
-        "agent-base": "^7.1.2",
-        "debug": "4"
-      },
-      "engines": {
-        "node": ">= 14"
-      }
-    },
-    "node_modules/iconv-lite": {
-      "version": "0.6.3",
-      "resolved": "https://registry.npmjs.org/iconv-lite/-/iconv-lite-0.6.3.tgz",
-      "integrity": "sha512-4fCk79wshMdzMp2rH06qWrJE4iolqLhCUH+OiuIgU++RB0+94NlDL81atO7GX55uUKueo0txHNtvEyI6D7WdMw==",
-      "dev": true,
-      "license": "MIT",
-      "dependencies": {
-        "safer-buffer": ">= 2.1.2 < 3.0.0"
-      },
-      "engines": {
-        "node": ">=0.10.0"
-      }
-    },
    "node_modules/import-local": {
      "version": "3.1.0",
      "resolved": "https://registry.npmjs.org/import-local/-/import-local-3.1.0.tgz",
@@ -3687,13 +3438,6 @@
        "node": ">=0.10.0"
      }
    },
-    "node_modules/is-potential-custom-element-name": {
-      "version": "1.0.1",
-      "resolved": "https://registry.npmjs.org/is-potential-custom-element-name/-/is-potential-custom-element-name-1.0.1.tgz",
-      "integrity": "sha512-bCYeRA2rVibKZd+s2625gGnGF/t7DSqDs4dP7CrLA1m7jKWz6pps0LpYLJN8Q64HtmPKJ1hrN3nzPNKFEKOUiQ==",
-      "dev": true,
-      "license": "MIT"
-    },
    "node_modules/isexe": {
      "version": "2.0.0",
      "resolved": "https://registry.npmjs.org/isexe/-/isexe-2.0.0.tgz",
@@ -3754,46 +3498,6 @@
      "dev": true,
      "license": "MIT"
    },
-    "node_modules/jsdom": {
-      "version": "26.1.0",
-      "resolved": "https://registry.npmjs.org/jsdom/-/jsdom-26.1.0.tgz",
-      "integrity": "sha512-Cvc9WUhxSMEo4McES3P7oK3QaXldCfNWp7pl2NNeiIFlCoLr3kfq9kb1fxftiwk1FLV7CvpvDfonxtzUDeSOPg==",
-      "dev": true,
-      "license": "MIT",
-      "dependencies": {
-        "cssstyle": "^4.2.1",
-        "data-urls": "^5.0.0",
-        "decimal.js": "^10.5.0",
-        "html-encoding-sniffer": "^4.0.0",
-        "http-proxy-agent": "^7.0.2",
-        "https-proxy-agent": "^7.0.6",
-        "is-potential-custom-element-name": "^1.0.1",
-        "nwsapi": "^2.2.16",
-        "parse5": "^7.2.1",
-        "rrweb-cssom": "^0.8.0",
-        "saxes": "^6.0.0",
-        "symbol-tree": "^3.2.4",
-        "tough-cookie": "^5.1.1",
-        "w3c-xmlserializer": "^5.0.0",
-        "webidl-conversions": "^7.0.0",
-        "whatwg-encoding": "^3.1.1",
-        "whatwg-mimetype": "^4.0.0",
-        "whatwg-url": "^14.1.1",
-        "ws": "^8.18.0",
-        "xml-name-validator": "^5.0.0"
-      },
-      "engines": {
-        "node": ">=18"
-      },
-      "peerDependencies": {
-        "canvas": "^3.0.0"
-      },
-      "peerDependenciesMeta": {
-        "canvas": {
-          "optional": true
-        }
-      }
-    },
    "node_modules/jsesc": {
      "version": "3.1.0",
      "resolved": "https://registry.npmjs.org/jsesc/-/jsesc-3.1.0.tgz",
@@ -4273,13 +3977,6 @@
        "node": ">=0.10.0"
      }
    },
-    "node_modules/nwsapi": {
-      "version": "2.2.24",
-      "resolved": "https://registry.npmjs.org/nwsapi/-/nwsapi-2.2.24.tgz",
-      "integrity": "sha512-7YRhZ3jS45LwmSCT4b2sVFHt/WuovaktDU07QrtOBY2PXskss5a9jfmR9jptyumwXST+rFjrmppMY1KT/yn35A==",
-      "dev": true,
-      "license": "MIT"
-    },
    "node_modules/obug": {
      "version": "2.1.1",
      "resolved": "https://registry.npmjs.org/obug/-/obug-2.1.1.tgz",
@@ -4336,19 +4033,6 @@
        "node": ">=6"
      }
    },
-    "node_modules/parse5": {
-      "version": "7.3.0",
-      "resolved": "https://registry.npmjs.org/parse5/-/parse5-7.3.0.tgz",
-      "integrity": "sha512-IInvU7fabl34qmi9gY8XOVxhYyMyuH2xUNpb2q8/Y+7552KlejkRvqvD19nMoUW/uQGGbqNpA6Tufu5FL5BZgw==",
-      "dev": true,
-      "license": "MIT",
-      "dependencies": {
-        "entities": "^6.0.0"
-      },
-      "funding": {
-        "url": "https://github.com/inikulin/parse5?sponsor=1"
-      }
-    },
    "node_modules/path-exists": {
      "version": "4.0.0",
      "resolved": "https://registry.npmjs.org/path-exists/-/path-exists-4.0.0.tgz",
@@ -4458,16 +4142,6 @@
        "node": "^10 || ^12 || >=14"
      }
    },
-    "node_modules/punycode": {
-      "version": "2.3.1",
-      "resolved": "https://registry.npmjs.org/punycode/-/punycode-2.3.1.tgz",
-      "integrity": "sha512-vYt7UD1U9Wg6138shLtLOvdAu+8DsC/ilFtEVHcH+wydcSpNE20AfSOduf6MkRFahL5FY7X1oU7nKVZFtfq8Fg==",
-      "dev": true,
-      "license": "MIT",
-      "engines": {
-        "node": ">=6"
-      }
-    },
    "node_modules/readdirp": {
      "version": "3.6.0",
      "resolved": "https://registry.npmjs.org/readdirp/-/readdirp-3.6.0.tgz",
@@ -4640,33 +4314,6 @@
        "@rolldown/binding-win32-x64-msvc": "1.1.3"
      }
    },
-    "node_modules/rrweb-cssom": {
-      "version": "0.8.0",
-      "resolved": "https://registry.npmjs.org/rrweb-cssom/-/rrweb-cssom-0.8.0.tgz",
-      "integrity": "sha512-guoltQEx+9aMf2gDZ0s62EcV8lsXR+0w8915TC3ITdn2YueuNjdAYh/levpU9nFaoChh9RUS5ZdQMrKfVEN9tw==",
-      "dev": true,
-      "license": "MIT"
-    },
-    "node_modules/safer-buffer": {
-      "version": "2.1.2",
-      "resolved": "https://registry.npmjs.org/safer-buffer/-/safer-buffer-2.1.2.tgz",
-      "integrity": "sha512-YZo3K82SD7Riyi0E1EQPojLz7kpepnSQI9IyPbHHg1XXXevb5dJI7tpyN2ADxGcQbHG7vcyRHk0cbwqcQriUtg==",
-      "dev": true,
-      "license": "MIT"
-    },
-    "node_modules/saxes": {
-      "version": "6.0.0",
-      "resolved": "https://registry.npmjs.org/saxes/-/saxes-6.0.0.tgz",
-      "integrity": "sha512-xAg7SOnEhrm5zI3puOOKyy1OMcMlIJZYNJY7xLBwSze0UjhPLnWfj2GF2EpT0jmzaJKIWKHLsaSSajf35bcYnA==",
-      "dev": true,
-      "license": "ISC",
-      "dependencies": {
-        "xmlchars": "^2.2.0"
-      },
-      "engines": {
-        "node": ">=v12.22.7"
-      }
-    },
    "node_modules/schema-utils": {
      "version": "4.3.3",
      "resolved": "https://registry.npmjs.org/schema-utils/-/schema-utils-4.3.3.tgz",
@@ -4800,13 +4447,6 @@
        "url": "https://github.com/sponsors/ljharb"
      }
    },
-    "node_modules/symbol-tree": {
-      "version": "3.2.4",
-      "resolved": "https://registry.npmjs.org/symbol-tree/-/symbol-tree-3.2.4.tgz",
-      "integrity": "sha512-9QNk5KwDF+Bvz+PyObkmSYjI5ksVUYtjW7AU22r2NKcfLJcXp96hkDWU3+XndOsUb+AQ9QhfzfCT2O+CNWT5Tw==",
-      "dev": true,
-      "license": "MIT"
-    },
    "node_modules/tapable": {
      "version": "2.3.0",
      "resolved": "https://registry.npmjs.org/tapable/-/tapable-2.3.0.tgz",
@@ -4952,26 +4592,6 @@
        "node": ">=14.0.0"
      }
    },
-    "node_modules/tldts": {
-      "version": "6.1.86",
-      "resolved": "https://registry.npmjs.org/tldts/-/tldts-6.1.86.tgz",
-      "integrity": "sha512-WMi/OQ2axVTf/ykqCQgXiIct+mSQDFdH2fkwhPwgEwvJ1kSzZRiinb0zF2Xb8u4+OqPChmyI6MEu4EezNJz+FQ==",
-      "dev": true,
-      "license": "MIT",
-      "dependencies": {
-        "tldts-core": "^6.1.86"
-      },
-      "bin": {
-        "tldts": "bin/cli.js"
-      }
-    },
-    "node_modules/tldts-core": {
-      "version": "6.1.86",
-      "resolved": "https://registry.npmjs.org/tldts-core/-/tldts-core-6.1.86.tgz",
-      "integrity": "sha512-Je6p7pkk+KMzMv2XXKmAE3McmolOQFdxkKw0R8EYNr7sELW46JqnNeTX8ybPiQgvg1ymCoF8LXs5fzFaZvJPTA==",
-      "dev": true,
-      "license": "MIT"
-    },
    "node_modules/to-regex-range": {
      "version": "5.0.1",
      "resolved": "https://registry.npmjs.org/to-regex-range/-/to-regex-range-5.0.1.tgz",
@@ -4985,32 +4605,6 @@
        "node": ">=8.0"
      }
    },
-    "node_modules/tough-cookie": {
-      "version": "5.1.2",
-      "resolved": "https://registry.npmjs.org/tough-cookie/-/tough-cookie-5.1.2.tgz",
-      "integrity": "sha512-FVDYdxtnj0G6Qm/DhNPSb8Ju59ULcup3tuJxkFb5K8Bv2pUXILbf0xZWU8PX8Ov19OXljbUyveOFwRMwkXzO+A==",
-      "dev": true,
-      "license": "BSD-3-Clause",
-      "dependencies": {
-        "tldts": "^6.1.32"
-      },
-      "engines": {
-        "node": ">=16"
-      }
-    },
-    "node_modules/tr46": {
-      "version": "5.1.1",
-      "resolved": "https://registry.npmjs.org/tr46/-/tr46-5.1.1.tgz",
-      "integrity": "sha512-hdF5ZgjTqgAntKkklYw0R03MG2x/bSzTtkxmIRw/sTNV8YXsCJ1tfLAX23lhxhHJlEf3CRCOCGGWw3vI3GaSPw==",
-      "dev": true,
-      "license": "MIT",
-      "dependencies": {
-        "punycode": "^2.3.1"
-      },
-      "engines": {
-        "node": ">=18"
-      }
-    },
    "node_modules/tscw-config": {
      "version": "1.1.2",
      "resolved": "https://registry.npmjs.org/tscw-config/-/tscw-config-1.1.2.tgz",
@@ -5337,19 +4931,6 @@
        "url": "https://github.com/sponsors/jonschlinkert"
      }
    },
-    "node_modules/w3c-xmlserializer": {
-      "version": "5.0.0",
-      "resolved": "https://registry.npmjs.org/w3c-xmlserializer/-/w3c-xmlserializer-5.0.0.tgz",
-      "integrity": "sha512-o8qghlI8NZHU1lLPrpi2+Uq7abh4GGPpYANlalzWxyWteJOCsr/P+oPBA49TOLu5FTZO4d3F9MnWJfiMo4BkmA==",
-      "dev": true,
-      "license": "MIT",
-      "dependencies": {
-        "xml-name-validator": "^5.0.0"
-      },
-      "engines": {
-        "node": ">=18"
-      }
-    },
    "node_modules/watchpack": {
      "version": "2.5.1",
      "resolved": "https://registry.npmjs.org/watchpack/-/watchpack-2.5.1.tgz",
@@ -5363,16 +4944,6 @@
        "node": ">=10.13.0"
      }
    },
-    "node_modules/webidl-conversions": {
-      "version": "7.0.0",
-      "resolved": "https://registry.npmjs.org/webidl-conversions/-/webidl-conversions-7.0.0.tgz",
-      "integrity": "sha512-VwddBukDzu71offAQR975unBIGqfKZpM+8ZX6ySk8nYhVoo5CYaZyzt3YBvYtRtO+aoGlqxPg/B87NGVZ/fu6g==",
-      "dev": true,
-      "license": "BSD-2-Clause",
-      "engines": {
-        "node": ">=12"
-      }
-    },
    "node_modules/webpack": {
      "version": "5.105.0",
      "resolved": "https://registry.npmjs.org/webpack/-/webpack-5.105.0.tgz",
@@ -5499,44 +5070,6 @@
        "node": ">=10.13.0"
      }
    },
-    "node_modules/whatwg-encoding": {
-      "version": "3.1.1",
-      "resolved": "https://registry.npmjs.org/whatwg-encoding/-/whatwg-encoding-3.1.1.tgz",
-      "integrity": "sha512-6qN4hJdMwfYBtE3YBTTHhoeuUrDBPZmbQaxWAqSALV/MeEnR5z1xd8UKud2RAkFoPkmB+hli1TZSnyi84xz1vQ==",
-      "deprecated": "Use @exodus/bytes instead for a more spec-conformant and faster implementation",
-      "dev": true,
-      "license": "MIT",
-      "dependencies": {
-        "iconv-lite": "0.6.3"
-      },
-      "engines": {
-        "node": ">=18"
-      }
-    },
-    "node_modules/whatwg-mimetype": {
-      "version": "4.0.0",
-      "resolved": "https://registry.npmjs.org/whatwg-mimetype/-/whatwg-mimetype-4.0.0.tgz",
-      "integrity": "sha512-QaKxh0eNIi2mE9p2vEdzfagOKHCcj1pJ56EEHGQOVxp8r9/iszLUUV7v89x9O1p/T+NlTM5W7jW6+cz4Fq1YVg==",
-      "dev": true,
-      "license": "MIT",
-      "engines": {
-        "node": ">=18"
-      }
-    },
-    "node_modules/whatwg-url": {
-      "version": "14.2.0",
-      "resolved": "https://registry.npmjs.org/whatwg-url/-/whatwg-url-14.2.0.tgz",
-      "integrity": "sha512-De72GdQZzNTUBBChsXueQUnPKDkg/5A5zp7pFDuQAj5UFoENpiACU0wlCvzpAGnTkj++ihpKwKyYewn/XNUbKw==",
-      "dev": true,
-      "license": "MIT",
-      "dependencies": {
-        "tr46": "^5.1.0",
-        "webidl-conversions": "^7.0.0"
-      },
-      "engines": {
-        "node": ">=18"
-      }
-    },
    "node_modules/which": {
      "version": "2.0.2",
      "resolved": "https://registry.npmjs.org/which/-/which-2.0.2.tgz",
@@ -5581,45 +5114,6 @@
      "integrity": "sha1-tSQ9jz7BqjXxNkYFvA0QNuMKtp8=",
      "dev": true
    },
-    "node_modules/ws": {
-      "version": "8.21.1",
-      "resolved": "https://registry.npmjs.org/ws/-/ws-8.21.1.tgz",
-      "integrity": "sha512-+0NTnW77fFN/DjQi6k/Sq/Yvk4Sgajw7urW8V+asjXnRgDs9gyGkdb7EzgfhA4goXsRIZKE28fzIXBHEzhuiWw==",
-      "dev": true,
-      "license": "MIT",
-      "engines": {
-        "node": ">=10.0.0"
-      },
-      "peerDependencies": {
-        "bufferutil": "^4.0.1",
-        "utf-8-validate": ">=5.0.2"
-      },
-      "peerDependenciesMeta": {
-        "bufferutil": {
-          "optional": true
-        },
-        "utf-8-validate": {
-          "optional": true
-        }
-      }
-    },
-    "node_modules/xml-name-validator": {
-      "version": "5.0.0",
-      "resolved": "https://registry.npmjs.org/xml-name-validator/-/xml-name-validator-5.0.0.tgz",
-      "integrity": "sha512-EvGK8EJ3DhaHfbRlETOWAS5pO9MZITeauHKJyb8wyajUfQUenkIg2MvLDTZ4T/TgIcm3HU0TFBgWWboAZ30UHg==",
-      "dev": true,
-      "license": "Apache-2.0",
-      "engines": {
-        "node": ">=18"
-      }
-    },
-    "node_modules/xmlchars": {
-      "version": "2.2.0",
-      "resolved": "https://registry.npmjs.org/xmlchars/-/xmlchars-2.2.0.tgz",
-      "integrity": "sha512-JZnDKK8B0RCDw84FNdDAIpZK+JuJw+s7Lz8nksI7SIuU3UXJJslUthsi+uWBUYOwPFwW7W7PRLRfUKpxjtjFCw==",
-      "dev": true,
-      "license": "MIT"
-    },
    "node_modules/yallist": {
      "version": "3.1.1",
      "resolved": "https://registry.npmjs.org/yallist/-/yallist-3.1.1.tgz",
@@ -43,7 +43,6 @@
    "@babel/preset-typescript": "7.29.7",
    "@types/node": "^25.4.0",
    "babel-loader": "^9.1.3",
-    "jsdom": "^26.1.0",
    "tscw-config": "^1.1.2",
    "typescript": "^5.9.3",
    "vitest": "^4.0.18",
@@ -1,213 +0,0 @@
-/**
- * Licensed to the Apache Software Foundation (ASF) under one
- * or more contributor license agreements.  See the NOTICE file
- * distributed with this work for additional information
- * regarding copyright ownership.  The ASF licenses this file
- * to you under the Apache License, Version 2.0 (the
- * "License"); you may not use this file except in compliance
- * with the License.  You may obtain a copy of the License at
- *
- *   http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing,
- * software distributed under the License is distributed on an
- * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
- * KIND, either express or implied.  See the License for the
- * specific language governing permissions and limitations
- * under the License.
- */
-
-// @vitest-environment jsdom
-
-import { afterEach, beforeEach, describe, expect, test, vi } from "vitest";
-import { Switchboard } from "@superset-ui/switchboard";
-import { embedDashboard } from "./index";
-
-vi.mock("@superset-ui/switchboard");
-
-function makeFakeJWT(claims: any) {
-  // not a valid jwt, but close enough for this code
-  const tokenifiedClaims = Buffer.from(JSON.stringify(claims)).toString(
-    "base64",
-  );
-  return `abc.${tokenifiedClaims}.xyz`;
-}
-
-describe("embedDashboard", () => {
-  let mountPoint: HTMLElement;
-  let mockSwitchboard: Switchboard;
-
-  beforeEach(() => {
-    mountPoint = document.createElement("div");
-    document.body.appendChild(mountPoint);
-
-    mockSwitchboard = {
-      emit: vi.fn(),
-      get: vi.fn(),
-      start: vi.fn(),
-      defineMethod: vi.fn(),
-    } as any;
-
-    // Constructor mocks must use `function`, since arrow functions cannot be
-    // invoked with `new`.
-    vi.mocked(Switchboard).mockImplementation(function () {
-      return mockSwitchboard;
-    } as any);
-
-    // Mock MessageChannel API
-    globalThis.MessageChannel = vi.fn(function (this: any) {
-      this.port1 = {};
-      this.port2 = {};
-    }) as any;
-
-    // Mock iframe load event and sandbox
-    const originalCreateElement = document.createElement.bind(document);
-    vi.spyOn(document, "createElement").mockImplementation(tagName => {
-      const element = originalCreateElement(tagName);
-      if (tagName === "iframe") {
-        // Mock sandbox DOMTokenList
-        (element as any).sandbox = {
-          add: vi.fn(),
-        };
-        // Mock contentWindow for postMessage
-        Object.defineProperty(element, "contentWindow", {
-          writable: true,
-          value: {
-            postMessage: vi.fn(),
-          },
-        });
-        setTimeout(() => {
-          element.dispatchEvent(new Event("load"));
-        }, 0);
-      }
-      return element;
-    });
-  });
-
-  afterEach(() => {
-    document.body.removeChild(mountPoint);
-    vi.restoreAllMocks();
-  });
-
-  test("setDataMask sends dataMask to iframe", async () => {
-    const fakeToken = makeFakeJWT({ exp: Date.now() / 1000 + 300 });
-    const mockFetchGuestToken = vi.fn().mockResolvedValue(fakeToken);
-    const testDataMask = {
-      "NATIVE_FILTER-1": {
-        filterState: {
-          value: ["value1", "value2"],
-        },
-      },
-    };
-
-    const dashboard = await embedDashboard({
-      id: "test-id",
-      supersetDomain: "https://superset.example.com",
-      mountPoint,
-      fetchGuestToken: mockFetchGuestToken,
-    });
-
-    dashboard.setDataMask(testDataMask);
-
-    expect(mockSwitchboard.get).toHaveBeenCalledWith("setDataMask", {
-      dataMask: testDataMask,
-    });
-  });
-
-  test("setDataMask sends empty dataMask", async () => {
-    const fakeToken = makeFakeJWT({ exp: Date.now() / 1000 + 300 });
-    const mockFetchGuestToken = vi.fn().mockResolvedValue(fakeToken);
-    const emptyDataMask = {};
-
-    const dashboard = await embedDashboard({
-      id: "test-id",
-      supersetDomain: "https://superset.example.com",
-      mountPoint,
-      fetchGuestToken: mockFetchGuestToken,
-    });
-
-    dashboard.setDataMask(emptyDataMask);
-
-    expect(mockSwitchboard.get).toHaveBeenCalledWith("setDataMask", {
-      dataMask: emptyDataMask,
-    });
-  });
-
-  test("setDataMask drops the change-trigger flags observeDataMask adds", async () => {
-    const fakeToken = makeFakeJWT({ exp: Date.now() / 1000 + 300 });
-    const mockFetchGuestToken = vi.fn().mockResolvedValue(fakeToken);
-    const observedMask = {
-      "NATIVE_FILTER-1": {
-        filterState: {
-          value: ["CA"],
-        },
-      },
-      crossFiltersChanged: false,
-      nativeFiltersChanged: true,
-    };
-
-    const dashboard = await embedDashboard({
-      id: "test-id",
-      supersetDomain: "https://superset.example.com",
-      mountPoint,
-      fetchGuestToken: mockFetchGuestToken,
-    });
-
-    dashboard.setDataMask(observedMask);
-
-    expect(mockSwitchboard.get).toHaveBeenCalledWith("setDataMask", {
-      dataMask: {
-        "NATIVE_FILTER-1": observedMask["NATIVE_FILTER-1"],
-      },
-    });
-  });
-
-  test("setDataMask sends complex dataMask with multiple filters", async () => {
-    const fakeToken = makeFakeJWT({ exp: Date.now() / 1000 + 300 });
-    const mockFetchGuestToken = vi.fn().mockResolvedValue(fakeToken);
-    const complexDataMask = {
-      "NATIVE_FILTER-1": {
-        filterState: {
-          value: ["CA", "NY"],
-        },
-      },
-      "NATIVE_FILTER-2": {
-        filterState: {
-          value: [2023, 2024],
-        },
-      },
-    };
-
-    const dashboard = await embedDashboard({
-      id: "test-id",
-      supersetDomain: "https://superset.example.com",
-      mountPoint,
-      fetchGuestToken: mockFetchGuestToken,
-    });
-
-    dashboard.setDataMask(complexDataMask);
-
-    expect(mockSwitchboard.get).toHaveBeenCalledWith("setDataMask", {
-      dataMask: complexDataMask,
-    });
-  });
-
-  test("setDataMask rejects when the embedded page does not support it", async () => {
-    const fakeToken = makeFakeJWT({ exp: Date.now() / 1000 + 300 });
-    const mockFetchGuestToken = vi.fn().mockResolvedValue(fakeToken);
-    vi.mocked(mockSwitchboard.get).mockRejectedValue(
-      new Error('Method "setDataMask" is not defined'),
-    );
-
-    const dashboard = await embedDashboard({
-      id: "test-id",
-      supersetDomain: "https://superset.example.com",
-      mountPoint,
-      fetchGuestToken: mockFetchGuestToken,
-    });
-
-    await expect(dashboard.setDataMask({})).rejects.toThrow(
-      'Method "setDataMask" is not defined',
-    );
-  });
-});
@@ -115,12 +115,6 @@ export type EmbeddedDashboard = {
  getActiveTabs: () => Promise<string[]>;
  observeDataMask: (callbackFn: ObserveDataMaskCallbackFn) => void;
  getDataMask: () => Promise<Record<string, any>>;
-  /**
-   * Applies a data mask to the dashboard.
-   * Rejects if the embedded Superset page does not support `setDataMask`,
-   * so a version mismatch surfaces instead of silently doing nothing.
-   */
-  setDataMask: (dataMask: Record<string, any>) => Promise<void>;
  getChartStates: () => Promise<Record<string, any>>;
  getChartDataPayloads: (params?: {
    chartId?: number;
@@ -361,21 +355,6 @@ export async function embedDashboard({
    ourPort.get<string>("getDashboardPermalink", { anchor });
  const getActiveTabs = () => ourPort.get<string[]>("getActiveTabs");
  const getDataMask = () => ourPort.get<Record<string, any>>("getDataMask");
-  // `observeDataMask` hands the host a mask with the change-trigger booleans
-  // mixed in, so feeding that payload straight back into `setDataMask` is a
-  // natural thing for a host to do. Keep only the entries that look like a
-  // filter's mask, so those flags never reach the dashboard as filter ids.
-  // Sent with `get` rather than `emit` so the iframe acknowledges the call:
-  // an embedded page that predates `setDataMask` replies with an error instead
-  // of dropping the message silently.
-  const setDataMask = (dataMask: Record<string, any>) =>
-    ourPort.get<void>("setDataMask", {
-      dataMask: Object.fromEntries(
-        Object.entries(dataMask).filter(
-          ([, mask]) => typeof mask === "object" && mask !== null,
-        ),
-      ),
-    });
  const getChartStates = () =>
    ourPort.get<Record<string, any>>("getChartStates");
  const getChartDataPayloads = (params?: { chartId?: number }) =>
@@ -417,7 +396,6 @@ export async function embedDashboard({
    getActiveTabs,
    observeDataMask,
    getDataMask,
-    setDataMask,
    getChartStates,
    getChartDataPayloads,
    setThemeConfig,
@@ -33,7 +33,7 @@
        "@fontsource/fira-code": "^5.3.0",
        "@fontsource/ibm-plex-mono": "^5.3.0",
        "@fontsource/inter": "^5.3.0",
-        "@googleapis/sheets": "^14.0.0",
+        "@googleapis/sheets": "^13.0.2",
        "@great-expectations/jsonforms-antd-renderers": "^2.2.10",
        "@jsonforms/core": "^3.7.0",
        "@jsonforms/react": "^3.7.0",
@@ -81,7 +81,7 @@
        "@visx/xychart": "^4.0.0",
        "ag-grid-community": "36.1.0",
        "ag-grid-react": "36.1.0",
-        "antd": "^6.5.4",
+        "antd": "^6.5.3",
        "chrono-node": "^2.10.1",
        "classnames": "^2.2.5",
        "content-disposition": "^2.0.1",
@@ -108,7 +108,7 @@
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    "node_modules/mapbox-gl": {
-      "version": "3.28.1",
-      "resolved": "https://registry.npmjs.org/mapbox-gl/-/mapbox-gl-3.28.1.tgz",
-      "integrity": "sha512-f8bCHFzZ51bKig7rnD7e08aoFLOV3MNFZduspZ4lgOgiaNVp9sw4NSWcgo3IWTyekYKKXjiICD2BP2o4DiYfxw==",
+      "version": "3.28.0",
+      "resolved": "https://registry.npmjs.org/mapbox-gl/-/mapbox-gl-3.28.0.tgz",
+      "integrity": "sha512-WEbvl2ju0MUZ+R83HeCosmJBTyYdhmFcajeQ7kwLyJ0EHUw9YG/k2QLcMmAQ8sXZpkWq1BbmfjT5lh/oInOnCw==",
      "license": "SEE LICENSE IN LICENSE.txt",
      "workspaces": [
        "src/style-spec",
@@ -33668,12 +33668,12 @@
      }
    },
    "node_modules/query-string": {
-      "version": "9.5.0",
-      "resolved": "https://registry.npmjs.org/query-string/-/query-string-9.5.0.tgz",
-      "integrity": "sha512-YlJmwNyi0RGYjlxYcuDncMsxFU7YyutbuI7gTm8ySxIGBlwx5yiBCOD5ig9ZNoHkawk/1Dey0N5mEfcUybMVAA==",
+      "version": "9.4.1",
+      "resolved": "https://registry.npmjs.org/query-string/-/query-string-9.4.1.tgz",
+      "integrity": "sha512-lSyJeN3RuaG7DZGWThtYRhk96+kEyZ/+doZpERuWbjeFL+Ok3vEat/swU498rAI0NcVt5/RJp8UDuLz7FckxrA==",
      "license": "MIT",
      "dependencies": {
-        "decode-uri-component": "^0.5.0",
+        "decode-uri-component": "^0.4.1",
        "filter-obj": "^5.1.0",
        "split-on-first": "^3.0.0"
      },
@@ -37991,9 +37991,9 @@
      }
    },
    "node_modules/storybook": {
-      "version": "10.5.7",
-      "resolved": "https://registry.npmjs.org/storybook/-/storybook-10.5.7.tgz",
-      "integrity": "sha512-oiKvWIwIoOhFP1i6dASYyMXwPHKEtVZMshqSB7EvIVYjWRh0l9H7gHEt1z4Gh2rLGFMekWdsm4s94rvwpR7gkg==",
+      "version": "10.5.6",
+      "resolved": "https://registry.npmjs.org/storybook/-/storybook-10.5.6.tgz",
+      "integrity": "sha512-VhYwqxPySa24CVXKoWD6gCZXx9//DTmo43YpusGuAoHDYj5Osjt8wuBRQVeGoaLUWnHiPWv8S+GYHrJEaBM6Rg==",
      "dev": true,
      "license": "MIT",
      "dependencies": {
@@ -39966,9 +39966,9 @@
      "license": "0BSD"
    },
    "node_modules/tsx": {
-      "version": "4.23.10",
-      "resolved": "https://registry.npmjs.org/tsx/-/tsx-4.23.10.tgz",
-      "integrity": "sha512-0Vb9eKU47njkxv/6B8CRZRDsxNDT/Pz+BIU+M5jw7xL3TdzAjSxlZUxu0xFL/kLpaG3sHZ0LH2wbK1T1yo7CUQ==",
+      "version": "4.23.9",
+      "resolved": "https://registry.npmjs.org/tsx/-/tsx-4.23.9.tgz",
+      "integrity": "sha512-6q8uTORRGauQVjqMQnKUucLFoeXZAfw6zKvG35GLbdKWbLdeOtZ3H4mhyA5mxuUd2o2cRTskhj59nLLQseUvUw==",
      "dev": true,
      "license": "MIT",
      "dependencies": {
@@ -43353,15 +43353,6 @@
        "node": ">=12"
      }
    },
-    "packages/superset-ui-core/node_modules/dompurify": {
-      "version": "3.4.13",
-      "resolved": "https://registry.npmjs.org/dompurify/-/dompurify-3.4.13.tgz",
-      "integrity": "sha512-2vmYIoqjze2d+kakP8S/nS5shfsl587kzwEjcGlTdiksUVgFHnFCsLYDVj/JNqJVOQZGSYBTmuycv0PodwmnMQ==",
-      "license": "(MPL-2.0 OR Apache-2.0)",
-      "optionalDependencies": {
-        "@types/trusted-types": "^2.0.7"
-      }
-    },
    "packages/superset-ui-core/node_modules/react-ace": {
      "version": "14.0.1",
      "resolved": "https://registry.npmjs.org/react-ace/-/react-ace-14.0.1.tgz",
@@ -43945,7 +43936,7 @@
      "license": "Apache-2.0",
      "dependencies": {
        "@math.gl/web-mercator": "^4.1.0",
-        "mapbox-gl": "^3.28.1",
+        "mapbox-gl": "^3.28.0",
        "maplibre-gl": "^5.24.0",
        "react-map-gl": "^8.1.2",
        "supercluster": "^8.0.1"
@@ -110,7 +110,7 @@
    "@fontsource/fira-code": "^5.3.0",
    "@fontsource/ibm-plex-mono": "^5.3.0",
    "@fontsource/inter": "^5.3.0",
-    "@googleapis/sheets": "^14.0.0",
+    "@googleapis/sheets": "^13.0.2",
    "@great-expectations/jsonforms-antd-renderers": "^2.2.10",
    "@jsonforms/core": "^3.7.0",
    "@jsonforms/react": "^3.7.0",
@@ -158,7 +158,7 @@
    "@visx/xychart": "^4.0.0",
    "ag-grid-community": "36.1.0",
    "ag-grid-react": "36.1.0",
-    "antd": "^6.5.4",
+    "antd": "^6.5.3",
    "chrono-node": "^2.10.1",
    "classnames": "^2.2.5",
    "content-disposition": "^2.0.1",
@@ -185,7 +185,7 @@
    "json-stringify-pretty-compact": "^4.0.0",
    "lodash": "^4.18.1",
    "lodash-es": "^4.18.1",
-    "mapbox-gl": "^3.28.1",
+    "mapbox-gl": "^3.28.0",
    "markdown-to-jsx": "^9.10.2",
    "match-sorter": "^8.3.0",
    "memoize-one": "^6.0.0",
@@ -193,7 +193,7 @@
    "mustache": "^4.2.0",
    "nanoid": "^6.0.1",
    "ol": "^10.10.0",
-    "query-string": "9.5.0",
+    "query-string": "9.4.1",
    "re-resizable": "^6.11.2",
    "react": "^18.3.0",
    "react-arborist": "^3.16.0",
@@ -257,9 +257,9 @@
    "@istanbuljs/nyc-config-typescript": "^1.0.1",
    "@playwright/test": "^1.62.1",
    "@pmmmwh/react-refresh-webpack-plugin": "^0.6.2",
-    "@storybook/addon-docs": "10.5.7",
-    "@storybook/addon-links": "10.5.7",
-    "@storybook/react-webpack5": "10.5.7",
+    "@storybook/addon-docs": "10.5.6",
+    "@storybook/addon-links": "10.5.6",
+    "@storybook/react-webpack5": "10.5.6",
    "@storybook/test-runner": "0.24.4",
    "@svgr/webpack": "^8.1.0",
    "@swc/core": "^1.15.47",
@@ -312,7 +312,7 @@
    "eslint-plugin-no-only-tests": "^3.4.0",
    "eslint-plugin-react-prefer-function-component": "^5.0.0",
    "eslint-plugin-react-you-might-not-need-an-effect": "^1.0.1",
-    "eslint-plugin-storybook": "10.5.7",
+    "eslint-plugin-storybook": "10.5.6",
    "eslint-plugin-testing-library": "^7.16.2",
    "eslint-plugin-theme-colors": "file:eslint-rules/eslint-plugin-theme-colors",
    "fetch-mock": "^12.6.0",
@@ -343,13 +343,13 @@
    "source-map": "^0.8.0",
    "source-map-support": "^0.5.21",
    "speed-measure-webpack-plugin": "^1.6.0",
-    "storybook": "10.5.7",
+    "storybook": "10.5.6",
    "style-loader": "^4.0.0",
    "stylelint": "^17.14.1",
    "swc-loader": "^0.2.7",
    "ts-jest": "^29.4.12",
    "tscw-config": "^1.1.2",
-    "tsx": "^4.23.10",
+    "tsx": "^4.23.9",
    "typescript": "5.4.5",
    "unzipper": "^0.12.5",
    "wait-on": "^9.1.0",
@@ -45,13 +45,6 @@ export interface ContextMenuFilters {
    filters: BinaryQueryObjectFilterClause[];
    groupbyFieldName: string;
    adhocFilterFieldName?: string;
-    /**
-     * Filters scoped to the clicked x-axis value (category or time bucket),
-     * as opposed to `filters`, which are scoped to the clicked series.
-     * When both are present, the Drill By UI lets the user choose which
-     * of the two (or both) to apply to the drilled chart.
-     */
-    xAxisFilters?: BinaryQueryObjectFilterClause[];
  };
 }

@@ -47,10 +47,6 @@ export default defineConfig({
  // Retry logic - 2 retries in CI, 0 locally
  retries: process.env.CI ? 2 : 0,

-  // Disable capturing Git commit info as the project's history is increasingly dense
-  // and breach Playwright's default 3-seconds `git` command timeout limit
-  captureGitInfo: { commit: false, diff: false },
-
  // Reporter configuration - multiple reporters for better visibility
  reporter: process.env.CI
    ? [
@@ -1,70 +0,0 @@
-/**
- * Licensed to the Apache Software Foundation (ASF) under one
- * or more contributor license agreements.  See the NOTICE file
- * distributed with this work for additional information
- * regarding copyright ownership.  The ASF licenses this file
- * to you under the Apache License, Version 2.0 (the
- * "License"); you may not use this file except in compliance
- * with the License.  You may obtain a copy of the License at
- *
- *   http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing,
- * software distributed under the License is distributed on an
- * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
- * KIND, either express or implied.  See the License for the
- * specific language governing permissions and limitations
- * under the License.
- */
-import { SqlaFormData } from '@superset-ui/core';
-import transformProps from './transformProps';
-import { EchartsBubbleChartProps } from './types';
-
-const baseFormData: SqlaFormData = {
-  datasource: '1__table',
-  viz_type: 'bubble_v2',
-  entity: 'customer_name',
-  x: 'price',
-  y: 'sales',
-  size: 'count',
-};
-
-const baseChartProps = {
-  width: 400,
-  height: 400,
-  hooks: {},
-  queriesData: [
-    {
-      data: [
-        { customer_name: 'A', price: 10, sales: 100, count: 5 },
-        { customer_name: 'B', price: 20, sales: 200, count: 8 },
-      ],
-    },
-  ],
-  theme: { colorText: '#000' },
-};
-
-test('nests xAxisLabelInterval under axisLabel rather than the axis itself', () => {
-  // Regression test: xAxis.interval forces echarts' IntervalScale into a
-  // fixed-tick-spacing mode that expects a number and crashes on the
-  // 'auto'/'0' strings this control actually produces (observed as an
-  // uncaught assertion deep in echarts' axis "nice" tick calculation,
-  // reproducing on every dashboard bubble chart). The interval belongs on
-  // axisLabel, where it only controls how many labels are skipped.
-  const { echartOptions } = transformProps({
-    ...baseChartProps,
-    formData: baseFormData,
-  } as unknown as EchartsBubbleChartProps);
-
-  expect((echartOptions.xAxis as any).interval).toBeUndefined();
-  expect((echartOptions.xAxis as any).axisLabel.interval).toBe('auto');
-});
-
-test('honors an explicit xAxisLabelInterval override', () => {
-  const { echartOptions } = transformProps({
-    ...baseChartProps,
-    formData: { ...baseFormData, xAxisLabelInterval: '0' },
-  } as unknown as EchartsBubbleChartProps);
-
-  expect((echartOptions.xAxis as any).axisLabel.interval).toBe('0');
-});
@@ -212,16 +212,13 @@ export default function transformProps(chartProps: EchartsBubbleChartProps) {
  const echartOptions: EChartsCoreOption = {
    series,
    xAxis: {
-      axisLabel: {
-        formatter: xAxisFormatter,
-        rotate: xAxisLabelRotation,
-        interval: xAxisLabelInterval,
-      },
+      axisLabel: { formatter: xAxisFormatter, rotate: xAxisLabelRotation },
      splitLine: {
        lineStyle: {
          type: 'dashed',
        },
      },
+      interval: xAxisLabelInterval,
      scale: true,
      name: bubbleXAxisTitle,
      nameLocation: 'middle',
@@ -21,8 +21,7 @@ import {
  waitFor,
  cleanup,
 } from '../../../../spec/helpers/testing-library';
-import { AxisType, TimeGranularity } from '@superset-ui/core';
-import { GenericDataType } from '@apache-superset/core/common';
+import { AxisType } from '@superset-ui/core';
 import type { EChartsCoreOption } from 'echarts/core';
 import type { ECElementEvent } from 'echarts/types/src/util/types';
 import type { ReactNode } from 'react';
@@ -656,99 +655,3 @@ test('context menu cross-filter uses the category value for a horizontal categor
    ]);
  }
 });
-
-// A category axis can still sit on a temporal column when the axis is
-// forced categorical (xAxisForceCategorical); the drillBy x-axis filter must
-// then bucket by the configured time grain rather than doing an exact match.
-test('drillBy filters by time bucket when a categorical axis is forced onto a temporal column', async () => {
-  const onContextMenuMock = jest.fn();
-
-  const propsWithForcedCategoricalTemporalAxis: TimeseriesChartTransformedProps =
-    {
-      ...defaultProps,
-      onContextMenu: onContextMenuMock,
-      formData: {
-        ...defaultFormData,
-        xAxisForceCategorical: true,
-        timeGrainSqla: TimeGranularity.MONTH,
-      },
-      coltypeMapping: { order_date: GenericDataType.Temporal },
-      xAxis: {
-        label: 'order_date',
-        type: AxisType.Category,
-      },
-    };
-
-  render(<EchartsTimeseries {...propsWithForcedCategoricalTemporalAxis} />);
-
-  const contextMenuHandler = getLatestEchartProps().eventHandlers?.contextmenu;
-  expect(contextMenuHandler).toBeDefined();
-  await contextMenuHandler?.({
-    componentType: 'series',
-    seriesName: 'Sales',
-    data: ['2021-02-01T00:00:00', 100],
-    name: '2021-02-01T00:00:00',
-    event: { stop: jest.fn(), event: { clientX: 10, clientY: 20 } },
-  });
-
-  await waitFor(() => {
-    expect(onContextMenuMock).toHaveBeenCalled();
-  });
-
-  const { drillBy } = onContextMenuMock.mock.calls[0][2];
-  expect(drillBy.xAxisFilters).toEqual([
-    {
-      col: 'order_date',
-      op: 'TEMPORAL_RANGE',
-      val: '2021-02-01T00:00:00 : 2021-03-01T00:00:00',
-      formattedVal: '2021-02-01T00:00:00',
-    },
-  ]);
-});
-
-// For horizontal orientation the [x, value] pair reported by ECharts is
-// swapped, so the drillBy x-axis filter must read the clicked time value
-// from the second element of the data tuple rather than the first.
-test('drillBy uses the swapped data index for a horizontal time-based axis', async () => {
-  const onContextMenuMock = jest.fn();
-
-  const propsWithHorizontalTimeAxis: TimeseriesChartTransformedProps = {
-    ...defaultProps,
-    onContextMenu: onContextMenuMock,
-    formData: {
-      ...defaultFormData,
-      orientation: OrientationType.Horizontal,
-    },
-    xAxis: {
-      label: 'order_date',
-      type: AxisType.Time,
-    },
-  };
-
-  render(<EchartsTimeseries {...propsWithHorizontalTimeAxis} />);
-
-  const contextMenuHandler = getLatestEchartProps().eventHandlers?.contextmenu;
-  expect(contextMenuHandler).toBeDefined();
-  await contextMenuHandler?.({
-    componentType: 'series',
-    seriesName: 'Sales',
-    // Horizontal: value first, x (time) value second
-    data: [100, '2021-02-01T00:00:00'],
-    name: '2021-02-01T00:00:00',
-    event: { stop: jest.fn(), event: { clientX: 10, clientY: 20 } },
-  });
-
-  await waitFor(() => {
-    expect(onContextMenuMock).toHaveBeenCalled();
-  });
-
-  const { drillBy } = onContextMenuMock.mock.calls[0][2];
-  expect(drillBy.xAxisFilters).toEqual([
-    {
-      col: 'order_date',
-      op: '==',
-      val: '2021-02-01T00:00:00',
-      formattedVal: '2021-02-01T00:00:00',
-    },
-  ]);
-});
@@ -28,7 +28,6 @@ import {
  ensureIsArray,
 } from '@superset-ui/core';
 import { useTheme } from '@apache-superset/core/theme';
-import { GenericDataType } from '@apache-superset/core/common';
 import type {
  ECElementEvent,
  ViewRootGroup,
@@ -44,7 +43,6 @@ import {
 } from './percentChange';
 import { OrientationType, TimeseriesChartTransformedProps } from './types';
 import { formatSeriesName } from '../utils/series';
-import { getTemporalXAxisDrillByFilter } from '../utils/xAxisDrillByFilter';
 import { ExtraControls } from '../components/ExtraControls';

 const TIMER_DURATION = 300;
@@ -509,55 +507,6 @@ export default function EchartsTimeseries({
          });
        });

-        // Filters for the clicked x-axis value, so Drill By can subset the
-        // drilled data to the clicked bar/point rather than only the series
-        const xAxisFilters: BinaryQueryObjectFilterClause[] = [];
-        const xAxisCol =
-          // if the xAxis is '__timestamp', granularity_sqla will be the column of filter
-          xAxis.label === DTTM_ALIAS ? formData.granularitySqla : xAxis.label;
-        if (data && xAxis.type === AxisType.Time && xAxisCol) {
-          // For horizontal orientation the [x, value] pair is swapped
-          const xValue = Array.isArray(data)
-            ? data[categoryAxisValueIndex]
-            : data;
-          const xAxisFilter = getTemporalXAxisDrillByFilter(
-            xAxisCol,
-            xValue,
-            formData.timeGrainSqla,
-            String(xValueFormatter(xValue as number)),
-          );
-          if (xAxisFilter) {
-            xAxisFilters.push(xAxisFilter);
-          }
-        } else if (xAxis.type === AxisType.Category && xAxisCol) {
-          const categoryAxisValue = getCategoryAxisValue(
-            data,
-            eventParams.name,
-          );
-          if (categoryAxisValue !== undefined) {
-            // A category axis can still sit on a temporal column when the
-            // axis is forced categorical; filter by time bucket in that case
-            const xAxisFilter =
-              coltypeMapping?.[getColumnLabel(xAxis.label)] ===
-              GenericDataType.Temporal
-                ? getTemporalXAxisDrillByFilter(
-                    xAxisCol,
-                    categoryAxisValue,
-                    formData.timeGrainSqla,
-                    String(eventParams.name ?? categoryAxisValue),
-                  )
-                : {
-                    col: xAxisCol,
-                    op: '==' as const,
-                    val: categoryAxisValue,
-                    formattedVal: String(categoryAxisValue),
-                  };
-            if (xAxisFilter) {
-              xAxisFilters.push(xAxisFilter);
-            }
-          }
-        }
-
        // Provide cross-filter for dimensions OR categorical X-axis (issue #25334)
        let crossFilter;
        if (hasDimensions) {
@@ -577,11 +526,7 @@ export default function EchartsTimeseries({

        onContextMenu(pointerEvent.clientX, pointerEvent.clientY, {
          drillToDetail: drillToDetailFilters,
-          drillBy: {
-            filters: drillByFilters,
-            groupbyFieldName: 'groupby',
-            ...(xAxisFilters.length > 0 && { xAxisFilters }),
-          },
+          drillBy: { filters: drillByFilters, groupbyFieldName: 'groupby' },
          crossFilter,
        });
      }
@@ -1,164 +0,0 @@
-/**
- * Licensed to the Apache Software Foundation (ASF) under one
- * or more contributor license agreements.  See the NOTICE file
- * distributed with this work for additional information
- * regarding copyright ownership.  The ASF licenses this file
- * to you under the Apache License, Version 2.0 (the
- * "License"); you may not use this file except in compliance
- * with the License.  You may obtain a copy of the License at
- *
- *   http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing,
- * software distributed under the License is distributed on an
- * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
- * KIND, either express or implied.  See the License for the
- * specific language governing permissions and limitations
- * under the License.
- */
-import {
-  BinaryQueryObjectFilterClause,
-  QueryFormColumn,
-  TimeGranularity,
-} from '@superset-ui/core';
-
-const DAY_MS = 24 * 60 * 60 * 1000;
-
-/**
- * Format a Date as a naive ISO datetime string (UTC, no timezone suffix),
- * the format Superset's time range parser expects, e.g. "2021-01-01T00:00:00".
- * Sub-second precision is preserved when present (e.g.
- * "2021-01-01T00:00:00.123") so exact-match filters on high-frequency
- * timestamps don't get truncated to the containing second.
- */
-export const formatNaiveDateTime = (date: Date): string => {
-  const iso = date.toISOString();
-  return date.getUTCMilliseconds() === 0 ? iso.slice(0, 19) : iso.slice(0, 23);
-};
-
-/**
- * Given the start (label) of a time bucket and its time grain, return the
- * [since, until) range covering the bucket, using calendar-aware UTC
- * arithmetic. Week-ending grains are labeled by the last day of the bucket,
- * so their range extends backwards from the label. Returns undefined for
- * unknown grains.
- */
-export const getTimeBucketRange = (
-  bucketLabel: Date,
-  grain: TimeGranularity,
-): { since: Date; until: Date } | undefined => {
-  const until = new Date(bucketLabel.getTime());
-  switch (grain) {
-    case TimeGranularity.SECOND:
-      until.setUTCSeconds(until.getUTCSeconds() + 1);
-      break;
-    case TimeGranularity.MINUTE:
-      until.setUTCMinutes(until.getUTCMinutes() + 1);
-      break;
-    case TimeGranularity.FIVE_MINUTES:
-      until.setUTCMinutes(until.getUTCMinutes() + 5);
-      break;
-    case TimeGranularity.TEN_MINUTES:
-      until.setUTCMinutes(until.getUTCMinutes() + 10);
-      break;
-    case TimeGranularity.FIFTEEN_MINUTES:
-      until.setUTCMinutes(until.getUTCMinutes() + 15);
-      break;
-    case TimeGranularity.THIRTY_MINUTES:
-      until.setUTCMinutes(until.getUTCMinutes() + 30);
-      break;
-    case TimeGranularity.HOUR:
-      until.setUTCHours(until.getUTCHours() + 1);
-      break;
-    case TimeGranularity.DATE:
-    case TimeGranularity.DAY:
-      until.setUTCDate(until.getUTCDate() + 1);
-      break;
-    case TimeGranularity.WEEK:
-    case TimeGranularity.WEEK_STARTING_SUNDAY:
-    case TimeGranularity.WEEK_STARTING_MONDAY:
-      until.setUTCDate(until.getUTCDate() + 7);
-      break;
-    case TimeGranularity.WEEK_ENDING_SATURDAY:
-    case TimeGranularity.WEEK_ENDING_SUNDAY:
-      // These buckets are labeled with their last day: the bucket spans
-      // the 6 days before the label plus the label day itself.
-      until.setUTCDate(until.getUTCDate() + 1);
-      return { since: new Date(bucketLabel.getTime() - 6 * DAY_MS), until };
-    case TimeGranularity.MONTH:
-      until.setUTCMonth(until.getUTCMonth() + 1);
-      break;
-    case TimeGranularity.QUARTER:
-      until.setUTCMonth(until.getUTCMonth() + 3);
-      break;
-    case TimeGranularity.YEAR:
-      until.setUTCFullYear(until.getUTCFullYear() + 1);
-      break;
-    default:
-      return undefined;
-  }
-  return { since: new Date(bucketLabel.getTime()), until };
-};
-
-// Matches an explicit timezone designator (Z or ±HH:MM/±HHMM) at the end of
-// a datetime string.
-const TIMEZONE_SUFFIX_RE = /(Z|[+-]\d{2}:?\d{2})$/;
-
-/**
- * Parse a datetime string the same way regardless of the host's local
- * timezone. Superset's backend returns naive datetime strings (no timezone
- * designator) that represent UTC instants; passing those directly to `new
- * Date()` would interpret them as local wall-clock time and shift the
- * result by the browser's UTC offset. Strings that already carry an
- * explicit timezone designator are parsed as-is.
- */
-const parseAsUtc = (value: string): Date =>
-  new Date(TIMEZONE_SUFFIX_RE.test(value) ? value : `${value}Z`);
-
-/**
- * Build a drill-by filter clause matching the clicked value on a temporal
- * x-axis. When a known time grain is active, the clause is a TEMPORAL_RANGE
- * covering the clicked bucket; otherwise it falls back to an exact match on
- * the timestamp.
- */
-export const getTemporalXAxisDrillByFilter = (
-  col: QueryFormColumn,
-  value: unknown,
-  grain?: TimeGranularity,
-  formattedVal?: string,
-): BinaryQueryObjectFilterClause | undefined => {
-  if (
-    !col ||
-    (typeof value !== 'number' &&
-      typeof value !== 'string' &&
-      !(value instanceof Date))
-  ) {
-    return undefined;
-  }
-  let bucketLabel: Date;
-  if (value instanceof Date) {
-    bucketLabel = value;
-  } else if (typeof value === 'string') {
-    bucketLabel = parseAsUtc(value);
-  } else {
-    bucketLabel = new Date(value);
-  }
-  if (Number.isNaN(bucketLabel.getTime())) {
-    return undefined;
-  }
-  const range = grain ? getTimeBucketRange(bucketLabel, grain) : undefined;
-  if (!range) {
-    return {
-      col,
-      op: '==',
-      val: formatNaiveDateTime(bucketLabel),
-      formattedVal,
-    };
-  }
-  return {
-    col,
-    op: 'TEMPORAL_RANGE',
-    val: `${formatNaiveDateTime(range.since)} : ${formatNaiveDateTime(range.until)}`,
-    formattedVal,
-  };
-};
@@ -1,238 +0,0 @@
-/**
- * Licensed to the Apache Software Foundation (ASF) under one
- * or more contributor license agreements.  See the NOTICE file
- * distributed with this work for additional information
- * regarding copyright ownership.  The ASF licenses this file
- * to you under the Apache License, Version 2.0 (the
- * "License"); you may not use this file except in compliance
- * with the License.  You may obtain a copy of the License at
- *
- *   http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing,
- * software distributed under the License is distributed on an
- * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
- * KIND, either express or implied.  See the License for the
- * specific language governing permissions and limitations
- * under the License.
- */
-import { TimeGranularity } from '@superset-ui/core';
-import {
-  formatNaiveDateTime,
-  getTemporalXAxisDrillByFilter,
-  getTimeBucketRange,
-} from '../../src/utils/xAxisDrillByFilter';
-
-const utc = (dateString: string) => new Date(`${dateString}Z`);
-
-const expectRange = (
-  bucketLabel: string,
-  grain: TimeGranularity,
-  since: string,
-  until: string,
-) => {
-  const range = getTimeBucketRange(utc(bucketLabel), grain);
-  expect(range).toBeDefined();
-  expect(formatNaiveDateTime(range!.since)).toEqual(since);
-  expect(formatNaiveDateTime(range!.until)).toEqual(until);
-};
-
-/* eslint jest/expect-expect: ["warn", { "assertFunctionNames": ["expect*"] }] */
-
-test('getTimeBucketRange computes sub-daily buckets', () => {
-  expectRange(
-    '2021-03-14T01:59:00',
-    TimeGranularity.MINUTE,
-    '2021-03-14T01:59:00',
-    '2021-03-14T02:00:00',
-  );
-  expectRange(
-    '2021-03-14T01:30:00',
-    TimeGranularity.THIRTY_MINUTES,
-    '2021-03-14T01:30:00',
-    '2021-03-14T02:00:00',
-  );
-  expectRange(
-    '2021-03-14T23:00:00',
-    TimeGranularity.HOUR,
-    '2021-03-14T23:00:00',
-    '2021-03-15T00:00:00',
-  );
-});
-
-test('getTimeBucketRange computes daily and weekly buckets', () => {
-  expectRange(
-    '2021-12-31T00:00:00',
-    TimeGranularity.DAY,
-    '2021-12-31T00:00:00',
-    '2022-01-01T00:00:00',
-  );
-  expectRange(
-    '2021-04-26T00:00:00',
-    TimeGranularity.WEEK,
-    '2021-04-26T00:00:00',
-    '2021-05-03T00:00:00',
-  );
-  expectRange(
-    '2021-04-25T00:00:00',
-    TimeGranularity.WEEK_STARTING_SUNDAY,
-    '2021-04-25T00:00:00',
-    '2021-05-02T00:00:00',
-  );
-});
-
-test('getTimeBucketRange extends week-ending buckets backwards from their label', () => {
-  expectRange(
-    '2021-05-01T00:00:00',
-    TimeGranularity.WEEK_ENDING_SATURDAY,
-    '2021-04-25T00:00:00',
-    '2021-05-02T00:00:00',
-  );
-  expectRange(
-    '2021-05-02T00:00:00',
-    TimeGranularity.WEEK_ENDING_SUNDAY,
-    '2021-04-26T00:00:00',
-    '2021-05-03T00:00:00',
-  );
-});
-
-test('getTimeBucketRange respects calendar month lengths', () => {
-  expectRange(
-    '2021-01-01T00:00:00',
-    TimeGranularity.MONTH,
-    '2021-01-01T00:00:00',
-    '2021-02-01T00:00:00',
-  );
-  expectRange(
-    '2021-02-01T00:00:00',
-    TimeGranularity.MONTH,
-    '2021-02-01T00:00:00',
-    '2021-03-01T00:00:00',
-  );
-  expectRange(
-    '2024-02-01T00:00:00',
-    TimeGranularity.MONTH,
-    '2024-02-01T00:00:00',
-    '2024-03-01T00:00:00',
-  );
-  expectRange(
-    '2021-12-01T00:00:00',
-    TimeGranularity.MONTH,
-    '2021-12-01T00:00:00',
-    '2022-01-01T00:00:00',
-  );
-});
-
-test('getTimeBucketRange computes quarter and year buckets', () => {
-  expectRange(
-    '2021-10-01T00:00:00',
-    TimeGranularity.QUARTER,
-    '2021-10-01T00:00:00',
-    '2022-01-01T00:00:00',
-  );
-  expectRange(
-    '2024-01-01T00:00:00',
-    TimeGranularity.YEAR,
-    '2024-01-01T00:00:00',
-    '2025-01-01T00:00:00',
-  );
-});
-
-test('getTimeBucketRange returns undefined for unknown grains', () => {
-  expect(
-    getTimeBucketRange(utc('2021-01-01T00:00:00'), 'P1D2H' as TimeGranularity),
-  ).toBeUndefined();
-});
-
-test('getTemporalXAxisDrillByFilter builds a temporal range for known grains', () => {
-  expect(
-    getTemporalXAxisDrillByFilter(
-      'ds',
-      utc('2021-01-01T00:00:00').getTime(),
-      TimeGranularity.MONTH,
-      'Jan 2021',
-    ),
-  ).toEqual({
-    col: 'ds',
-    op: 'TEMPORAL_RANGE',
-    val: '2021-01-01T00:00:00 : 2021-02-01T00:00:00',
-    formattedVal: 'Jan 2021',
-  });
-});
-
-test('getTemporalXAxisDrillByFilter falls back to exact match without a grain', () => {
-  expect(
-    getTemporalXAxisDrillByFilter(
-      'ds',
-      utc('2021-01-01T12:34:56').getTime(),
-      undefined,
-      '2021-01-01 12:34:56',
-    ),
-  ).toEqual({
-    col: 'ds',
-    op: '==',
-    val: '2021-01-01T12:34:56',
-    formattedVal: '2021-01-01 12:34:56',
-  });
-});
-
-test('getTemporalXAxisDrillByFilter preserves sub-second precision in the exact-match fallback', () => {
-  expect(
-    getTemporalXAxisDrillByFilter(
-      'ds',
-      new Date('2021-01-01T12:34:56.123Z').getTime(),
-      undefined,
-      '2021-01-01 12:34:56.123',
-    ),
-  ).toEqual({
-    col: 'ds',
-    op: '==',
-    val: '2021-01-01T12:34:56.123',
-    formattedVal: '2021-01-01 12:34:56.123',
-  });
-});
-
-test('getTemporalXAxisDrillByFilter falls back to exact match for unknown grains', () => {
-  expect(
-    getTemporalXAxisDrillByFilter(
-      'ds',
-      utc('2021-01-01T00:00:00').getTime(),
-      'P1D2H' as TimeGranularity,
-    ),
-  ).toMatchObject({ op: '==', val: '2021-01-01T00:00:00' });
-});
-
-test('getTemporalXAxisDrillByFilter accepts parseable date strings and Dates', () => {
-  expect(
-    getTemporalXAxisDrillByFilter(
-      'ds',
-      '2021-01-01T00:00:00Z',
-      TimeGranularity.DAY,
-    ),
-  ).toMatchObject({
-    op: 'TEMPORAL_RANGE',
-    val: '2021-01-01T00:00:00 : 2021-01-02T00:00:00',
-  });
-  expect(
-    getTemporalXAxisDrillByFilter(
-      'ds',
-      utc('2021-01-01T00:00:00'),
-      TimeGranularity.DAY,
-    ),
-  ).toMatchObject({
-    op: 'TEMPORAL_RANGE',
-    val: '2021-01-01T00:00:00 : 2021-01-02T00:00:00',
-  });
-});
-
-test('getTemporalXAxisDrillByFilter returns undefined for unusable input', () => {
-  expect(
-    getTemporalXAxisDrillByFilter('ds', 'not a date', TimeGranularity.DAY),
-  ).toBeUndefined();
-  expect(
-    getTemporalXAxisDrillByFilter('ds', null, TimeGranularity.DAY),
-  ).toBeUndefined();
-  expect(
-    getTemporalXAxisDrillByFilter('', 1609459200000, TimeGranularity.DAY),
-  ).toBeUndefined();
-});
@@ -30,7 +30,7 @@
  },
  "dependencies": {
    "@math.gl/web-mercator": "^4.1.0",
-    "mapbox-gl": "^3.28.1",
+    "mapbox-gl": "^3.28.0",
    "maplibre-gl": "^5.24.0",
    "react-map-gl": "^8.1.2",
    "supercluster": "^8.0.1"
@@ -1,86 +0,0 @@
-#!/usr/bin/env node
-/*
- * Licensed to the Apache Software Foundation (ASF) under one
- * or more contributor license agreements.  See the NOTICE file
- * distributed with this work for additional information
- * regarding copyright ownership.  The ASF licenses this file
- * to you under the Apache License, Version 2.0 (the
- * "License"); you may not use this file except in compliance
- * with the License.  You may obtain a copy of the License at
- *
- *   http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing,
- * software distributed under the License is distributed on an
- * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express
- * or implied.  See the License for the specific language governing
- * permissions and limitations under the License.
- */
-
-// Reduces a webpack `--json` stats file down to the handful of headline
-// numbers worth tracking over time, in the flat array format
-// benchmark-action/github-action-benchmark expects for its
-// "customSmallerIsBetter" tool. The full stats file also includes a
-// `modules`/`chunks` graph across ~15k modules, which is enormous and not
-// useful for this purpose, so we only ever read `entrypoints`.
-//
-// Usage: node scripts/bundle-size-summary.js <path-to-stats.json>
-
-const fs = require('fs');
-
-// Entrypoints worth tracking: the two user-facing app shells. `menu`,
-// `preamble`, `theme`, and `service-worker` are small, low-variance
-// infrastructure chunks, not where bundle bloat actually shows up.
-const TRACKED_ENTRYPOINTS = ['spa', 'embedded'];
-
-function entrypointSizeByExt(entrypoint, ext) {
-  return (entrypoint.assets || [])
-    .filter(asset => asset.name.endsWith(ext))
-    .reduce((total, asset) => total + asset.size, 0);
-}
-
-function main() {
-  const statsPath = process.argv[2];
-  if (!statsPath) {
-    console.error('Usage: bundle-size-summary.js <path-to-stats.json>');
-    process.exit(1);
-  }
-
-  const stats = JSON.parse(fs.readFileSync(statsPath, 'utf8'));
-  const { entrypoints } = stats;
-  if (!entrypoints) {
-    console.error(
-      'stats.json has no `entrypoints` key -- was it built with ' +
-        '`BUNDLE_SIZE_STATS=true` set? Without it, webpack.config.js uses ' +
-        '`stats: "minimal"`, which omits `entrypoints`.',
-    );
-    process.exit(1);
-  }
-
-  const results = [];
-  TRACKED_ENTRYPOINTS.forEach(name => {
-    const entrypoint = entrypoints[name];
-    if (!entrypoint) {
-      console.error(`stats.json is missing the "${name}" entrypoint`);
-      process.exit(1);
-    }
-    results.push({
-      name: `${name} entrypoint (JS)`,
-      unit: 'bytes',
-      value: entrypointSizeByExt(entrypoint, '.js'),
-    });
-    results.push({
-      name: `${name} entrypoint (CSS)`,
-      unit: 'bytes',
-      value: entrypointSizeByExt(entrypoint, '.css'),
-    });
-  });
-
-  console.log(JSON.stringify(results, null, 2));
-}
-
-if (require.main === module) {
-  main();
-}
-
-module.exports = { entrypointSizeByExt, main, TRACKED_ENTRYPOINTS };
@@ -35,43 +35,6 @@ if (SERVICE_ACCOUNT_KEY.client_email) {

 const DATETIME = new Date().toISOString().replace(/T/, ' ').replace(/\..+/, '');

-/**
- * Turn an oxlint diagnostic code into the canonical rule id used by the metrics
- * series.
- *
- * oxlint reports `<plugin>(<rule>)`, where the plugin is the linter the rule came
- * from: `eslint(no-console)`, `react-hooks(exhaustive-deps)`, `react(jsx-key)`,
- * `jest(no-conditional-expect)`, `oxc(erasing-op)`, and the legacy
- * `eslint-plugin-unicorn(no-new-array)` spelling.
- *
- * `eslint` is the implicit namespace, so its rules keep their bare name and stay
- * comparable with the rows recorded before the oxlint migration. Every other
- * plugin becomes `<plugin>/<rule>`, which is the id those rules are known by in
- * config and in the pre-migration history.
- *
- * @param {string | undefined} code the diagnostic's `code` field
- * @returns {string} the rule id to record
- */
-function parseRuleId(code) {
-  if (!code) {
-    return 'unknown';
-  }
-
-  const match = code.match(/^([\w-]+)\(([^)]+)\)$/);
-  if (!match) {
-    return code;
-  }
-
-  const [, namespace, rule] = match;
-  if (namespace === 'eslint') {
-    return rule;
-  }
-
-  // `eslint-plugin-unicorn(...)` is the same rule as `unicorn/...`
-  const plugin = namespace.replace(/^eslint-plugin-/, '');
-  return `${plugin}/${rule}`;
-}
-
 async function writeToGoogleSheet(data, range, headers, append = false) {
  if (!sheets) {
    console.log('No Google Sheets credentials, skipping upload');
@@ -138,7 +101,17 @@ async function runOxlintAndProcess() {
    // OXC JSON format has diagnostics array
    if (results.diagnostics && Array.isArray(results.diagnostics)) {
      results.diagnostics.forEach(diagnostic => {
-        const ruleId = parseRuleId(diagnostic.code);
+        // Extract rule ID from code like "eslint(no-unused-vars)" or "eslint-plugin-unicorn(no-new-array)"
+        const codeMatch = diagnostic.code?.match(
+          /^(?:eslint(?:-plugin-(\w+))?\()([^)]+)\)$/,
+        );
+        let ruleId = diagnostic.code || 'unknown';
+
+        if (codeMatch) {
+          const plugin = codeMatch[1];
+          const rule = codeMatch[2];
+          ruleId = plugin ? `${plugin}/${rule}` : rule;
+        }

        const file = diagnostic.filename || 'unknown';
        const line = diagnostic.labels?.[0]?.span?.line || 0;
@@ -278,10 +251,5 @@ async function runOxlintAndProcess() {
  }
 }

-// Run the process, unless this file was imported (e.g. by a test) rather than
-// executed, in which case nothing should be linted or uploaded on import.
-if (require.main === module) {
-  runOxlintAndProcess().catch(console.error);
-}
-
-module.exports = { parseRuleId };
+// Run the process
+runOxlintAndProcess().catch(console.error);
@@ -1,110 +0,0 @@
-/**
- * Licensed to the Apache Software Foundation (ASF) under one
- * or more contributor license agreements.  See the NOTICE file
- * distributed with this work for additional information
- * regarding copyright ownership.  The ASF licenses this file
- * to you under the Apache License, Version 2.0 (the
- * "License"); you may not use this file except in compliance
- * with the License.  You may obtain a copy of the License at
- *
- *   http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing,
- * software distributed under the License is distributed on an
- * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
- * KIND, either express or implied.  See the License for the
- * specific language governing permissions and limitations
- * under the License.
- */
-const fs = require('fs');
-const {
-  entrypointSizeByExt,
-  main,
-} = require('../../scripts/bundle-size-summary');
-
-function mockStats(entrypoints) {
-  jest
-    .spyOn(fs, 'readFileSync')
-    .mockReturnValue(JSON.stringify({ entrypoints }));
-}
-
-function mockExit() {
-  return jest.spyOn(process, 'exit').mockImplementation(() => {
-    throw new Error('process.exit called');
-  });
-}
-
-const originalArgv = process.argv;
-
-afterEach(() => {
-  jest.restoreAllMocks();
-  process.argv = originalArgv;
-});
-
-test('entrypointSizeByExt sums only assets matching the given extension', () => {
-  const entrypoint = {
-    assets: [
-      { name: 'spa.entry.js', size: 100 },
-      { name: 'spa.entry.js.map', size: 500 },
-      { name: 'spa.entry.css', size: 20 },
-    ],
-  };
-  expect(entrypointSizeByExt(entrypoint, '.js')).toBe(100);
-  expect(entrypointSizeByExt(entrypoint, '.css')).toBe(20);
-});
-
-test('entrypointSizeByExt returns 0 when the entrypoint has no assets', () => {
-  expect(entrypointSizeByExt({}, '.js')).toBe(0);
-});
-
-test('main prints byte totals for every tracked entrypoint', () => {
-  mockStats({
-    spa: { assets: [{ name: 'spa.js', size: 100 }] },
-    embedded: { assets: [{ name: 'embedded.js', size: 50 }] },
-  });
-  const logSpy = jest.spyOn(console, 'log').mockImplementation(() => {});
-  process.argv = ['node', 'bundle-size-summary.js', 'stats.json'];
-
-  main();
-
-  const printed = JSON.parse(logSpy.mock.calls[0][0]);
-  expect(printed).toEqual([
-    { name: 'spa entrypoint (JS)', unit: 'bytes', value: 100 },
-    { name: 'spa entrypoint (CSS)', unit: 'bytes', value: 0 },
-    { name: 'embedded entrypoint (JS)', unit: 'bytes', value: 50 },
-    { name: 'embedded entrypoint (CSS)', unit: 'bytes', value: 0 },
-  ]);
-});
-
-test('main exits with an error when a tracked entrypoint is missing from stats.json', () => {
-  mockStats({ spa: { assets: [] } });
-  const errorSpy = jest.spyOn(console, 'error').mockImplementation(() => {});
-  mockExit();
-  process.argv = ['node', 'bundle-size-summary.js', 'stats.json'];
-
-  expect(main).toThrow('process.exit called');
-  expect(errorSpy).toHaveBeenCalledWith(
-    expect.stringContaining('missing the "embedded" entrypoint'),
-  );
-});
-
-test('main exits with an error when stats.json has no `entrypoints` key', () => {
-  jest.spyOn(fs, 'readFileSync').mockReturnValue(JSON.stringify({}));
-  const errorSpy = jest.spyOn(console, 'error').mockImplementation(() => {});
-  mockExit();
-  process.argv = ['node', 'bundle-size-summary.js', 'stats.json'];
-
-  expect(main).toThrow('process.exit called');
-  expect(errorSpy).toHaveBeenCalledWith(
-    expect.stringContaining('no `entrypoints` key'),
-  );
-});
-
-test('main prints a usage message and exits when no stats path is given', () => {
-  const errorSpy = jest.spyOn(console, 'error').mockImplementation(() => {});
-  mockExit();
-  process.argv = ['node', 'bundle-size-summary.js'];
-
-  expect(main).toThrow('process.exit called');
-  expect(errorSpy).toHaveBeenCalledWith(expect.stringContaining('Usage:'));
-});
@@ -1,58 +0,0 @@
-/**
- * Licensed to the Apache Software Foundation (ASF) under one
- * or more contributor license agreements.  See the NOTICE file
- * distributed with this work for additional information
- * regarding copyright ownership.  The ASF licenses this file
- * to you under the Apache License, Version 2.0 (the
- * "License"); you may not use this file except in compliance
- * with the License.  You may obtain a copy of the License at
- *
- *   http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing,
- * software distributed under the License is distributed on an
- * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
- * KIND, either express or implied.  See the License for the
- * specific language governing permissions and limitations
- * under the License.
- */
-const { parseRuleId } = require('../../scripts/oxlint-metrics-uploader');
-
-test('eslint rules keep their bare name', () => {
-  expect(parseRuleId('eslint(no-console)')).toBe('no-console');
-  expect(parseRuleId('eslint(prefer-destructuring)')).toBe(
-    'prefer-destructuring',
-  );
-});
-
-test('plugin rules are recorded under plugin/rule (#42981)', () => {
-  // These are the codes oxlint actually emits. They previously fell through to
-  // the raw `react-hooks(exhaustive-deps)` string, so the rows no longer lined
-  // up with the ids the same rules were recorded under before the migration.
-  expect(parseRuleId('react-hooks(exhaustive-deps)')).toBe(
-    'react-hooks/exhaustive-deps',
-  );
-  expect(parseRuleId('react-hooks(rules-of-hooks)')).toBe(
-    'react-hooks/rules-of-hooks',
-  );
-  expect(parseRuleId('react(jsx-key)')).toBe('react/jsx-key');
-  expect(parseRuleId('jest(no-conditional-expect)')).toBe(
-    'jest/no-conditional-expect',
-  );
-  expect(parseRuleId('oxc(erasing-op)')).toBe('oxc/erasing-op');
-  expect(parseRuleId('typescript(no-explicit-any)')).toBe(
-    'typescript/no-explicit-any',
-  );
-});
-
-test('the legacy eslint-plugin- prefix still collapses to the plugin name', () => {
-  expect(parseRuleId('eslint-plugin-unicorn(no-new-array)')).toBe(
-    'unicorn/no-new-array',
-  );
-});
-
-test('an unrecognized or missing code is passed through rather than dropped', () => {
-  expect(parseRuleId('something-unparseable')).toBe('something-unparseable');
-  expect(parseRuleId(undefined)).toBe('unknown');
-  expect(parseRuleId('')).toBe('unknown');
-});
@@ -695,49 +695,6 @@ describe('sqlLabReducer', () => {
      );
      expect(newState.queries['sync-query'].state).toBe(QueryState.Fetching);
    });
-    test('should move an async query from running to success when polling reports it finished', () => {
-      const asyncQuery = {
-        ...query,
-        id: 'async-query',
-        state: QueryState.Running,
-        runAsync: true,
-      };
-      newState = sqlLabReducer(
-        {
-          ...newState,
-          queries: { 'async-query': asyncQuery },
-        },
-        actions.refreshQueries({
-          'async-query': {
-            ...asyncQuery,
-            state: QueryState.Success,
-          },
-        }),
-      );
-      expect(newState.queries['async-query'].state).toBe(QueryState.Success);
-    });
-    test('should downgrade a premature poller success to fetching for a running sync query', () => {
-      const syncQuery = {
-        ...query,
-        id: 'sync-running',
-        state: QueryState.Running,
-        runAsync: false,
-        results: null,
-      };
-      newState = sqlLabReducer(
-        {
-          ...newState,
-          queries: { 'sync-running': syncQuery },
-        },
-        actions.refreshQueries({
-          'sync-running': {
-            ...syncQuery,
-            state: QueryState.Success,
-          },
-        }),
-      );
-      expect(newState.queries['sync-running'].state).toBe(QueryState.Fetching);
-    });
  });
  // eslint-disable-next-line no-restricted-globals -- TODO: Migrate from describe blocks
  describe('CLEAR_INACTIVE_QUERIES', () => {
@@ -769,15 +769,14 @@ export default function sqlLabReducer(
              }),
              // race condition:
              // because of async behavior, sql lab may still poll a couple of seconds
-              // after it started fetching or finished rendering results. Guard only
-              // against re-applying a redundant Success onto a state that's already at
-              // or past Success (Fetching/Success) — Running is strictly before
-              // Success, so an incoming Success there is new information, not a stale
-              // poll, and must be allowed through (otherwise an async query can never
-              // leave Running once observed there).
+              // when it started fetching or finished rendering results
              state:
                currentState === QueryState.Success &&
-                [QueryState.Fetching, QueryState.Success].includes(prevState)
+                [
+                  QueryState.Fetching,
+                  QueryState.Success,
+                  QueryState.Running,
+                ].includes(prevState)
                  ? prevState
                  : currentState,
            };
@@ -17,7 +17,7 @@
 * under the License.
 */
 import { useRef, useState } from 'react';
-import { ContextMenuFilters, FeatureFlag, VizType } from '@superset-ui/core';
+import { FeatureFlag, VizType } from '@superset-ui/core';
 import { render, screen, waitFor } from 'spec/helpers/testing-library';
 import userEvent from '@testing-library/user-event';
 import mockState from 'spec/fixtures/mockState';
@@ -30,35 +30,6 @@ import ChartContextMenu, {

 jest.mock('src/utils/cachedSupersetGet');

-// The scope-selector behavior within the submenu (which filters get built
-// for x-axis/series/both) is covered by DrillBySubmenu.test.tsx. Here we
-// only need a stand-in that lets us trigger onDrillBy with a distinguishable
-// config, so we can assert ChartContextMenu wires it into the modal.
-jest.mock('../DrillBy/DrillBySubmenu', () => ({
-  DrillBySubmenu: ({ onDrillBy }: any) => (
-    <button
-      type="button"
-      data-test="fake-drill-by-submenu"
-      onClick={() =>
-        onDrillBy(
-          { column_name: 'city', groupby: true },
-          { id: 1, columns: [], metrics: [] },
-          { filters: [{ col: 'selected_scope' }], groupbyFieldName: 'groupby' },
-        )
-      }
-    >
-      Fake Drill By
-    </button>
-  ),
-}));
-
-jest.mock('src/components/Chart/DrillBy/DrillByModal', () => ({
-  __esModule: true,
-  default: ({ drillByConfig }: any) => (
-    <div data-test="drill-by-modal">{JSON.stringify(drillByConfig)}</div>
-  ),
-}));
-
 const mockCachedSupersetGet = cachedSupersetGet as jest.MockedFunction<
  typeof cachedSupersetGet
 >;
@@ -68,11 +39,7 @@ const defaultFormData = {
  viz_type: VizType.Pie,
 };

-const TestWrapper = ({
-  openFilters = {},
-}: {
-  openFilters?: ContextMenuFilters;
-}) => {
+const TestWrapper = () => {
  const contextMenuRef = useRef<ChartContextMenuRef>(null);
  const [isTooltipVisible, setIsTooltipVisible] = useState(true);

@@ -84,7 +51,7 @@ const TestWrapper = ({
    <>
      <button
        type="button"
-        onClick={() => contextMenuRef.current?.open(100, 100, openFilters)}
+        onClick={() => contextMenuRef.current?.open(100, 100, {})}
        data-test="open-context-menu"
      >
        Open Context Menu
@@ -104,8 +71,8 @@ const TestWrapper = ({
  );
 };

-const setup = (openFilters?: ContextMenuFilters) =>
-  render(<TestWrapper openFilters={openFilters} />, {
+const setup = () =>
+  render(<TestWrapper />, {
    useRedux: true,
    initialState: {
      ...mockState,
@@ -183,30 +150,3 @@ test('tooltip is restored when user selects a menu item', async () => {
    expect(screen.getByTestId('tooltip-visible')).toBeInTheDocument();
  });
 });
-
-test('drill by modal uses the scope selected in the submenu over the raw context filters', async () => {
-  setup({
-    drillBy: {
-      filters: [{ col: 'raw_scope', op: '==', val: 'raw' }],
-      groupbyFieldName: 'groupby',
-    },
-  });
-
-  userEvent.click(screen.getByTestId('open-context-menu'));
-
-  await waitFor(() => {
-    expect(screen.getByTestId('chart-context-menu')).toBeInTheDocument();
-  });
-
-  const submenuButton = await screen.findByTestId('fake-drill-by-submenu');
-  userEvent.click(submenuButton);
-
-  await waitFor(() => {
-    expect(screen.getByTestId('drill-by-modal')).toBeInTheDocument();
-  });
-
-  const modalConfig = JSON.parse(
-    screen.getByTestId('drill-by-modal').textContent || '{}',
-  );
-  expect(modalConfig.filters).toEqual([{ col: 'selected_scope' }]);
-});
@@ -55,7 +55,6 @@ import { getMenuAdjustedY } from '../utils';
 import { DrillBySubmenu } from '../DrillBy/DrillBySubmenu';
 import DrillDetailModal from '../DrillDetail/DrillDetailModal';
 import { MenuItemTooltip } from '../DisabledMenuItemTooltip';
-import { Dataset } from '../types';

 export enum ContextMenuItem {
  CrossFilter,
@@ -156,10 +155,6 @@ const ChartContextMenu = (

  const [drillModalIsOpen, setDrillModalIsOpen] = useState(false);
  const [drillByColumn, setDrillByColumn] = useState<Column>();
-  // Drill by config as selected in the submenu (e.g. with the chosen
-  // x-axis/series filter scope applied), used over the raw context filters
-  const [selectedDrillByConfig, setSelectedDrillByConfig] =
-    useState<ContextMenuFilters['drillBy']>();
  const [showDrillByModal, setShowDrillByModal] = useState(false);

  const closeContextMenu = useCallback(() => {
@@ -167,18 +162,10 @@ const ChartContextMenu = (
    onClose();
  }, [onClose]);

-  const handleDrillBy = useCallback(
-    (
-      column: Column,
-      _dataset: Dataset,
-      drillByConfig?: ContextMenuFilters['drillBy'],
-    ) => {
-      setDrillByColumn(column);
-      setSelectedDrillByConfig(drillByConfig);
-      setShowDrillByModal(true);
-    },
-    [],
-  );
+  const handleDrillBy = useCallback((column: Column) => {
+    setDrillByColumn(column);
+    setShowDrillByModal(true);
+  }, []);

  const loadDrillByOptionsExtension = getExtensionsRegistry().get(
    'load.drillby.options',
@@ -188,8 +175,6 @@ const ChartContextMenu = (
    setShowDrillByModal(false);
  }, []);

-  const drillByModalConfig = selectedDrillByConfig ?? enhancedFilters?.drillBy;
-
  const menuItems: MenuItem[] = [];

  const showDrillToDetail =
@@ -474,10 +459,10 @@ const ChartContextMenu = (
      {showDrillByModal &&
        drillByColumn &&
        filteredDataset &&
-        drillByModalConfig && (
+        enhancedFilters?.drillBy && (
          <DrillByModal
            column={drillByColumn}
-            drillByConfig={drillByModalConfig}
+            drillByConfig={enhancedFilters?.drillBy}
            formData={formData}
            onHideModal={handleCloseDrillByModal}
            dataset={filteredDataset}
@@ -274,140 +274,6 @@ test('When menu item is clicked, call onSelection with clicked column and drill
  );
 });

-const xAxisFilters = [
-  {
-    col: 'ds',
-    op: 'TEMPORAL_RANGE' as const,
-    val: '2021-01-01T00:00:00 : 2021-02-01T00:00:00',
-    formattedVal: 'Jan 2021',
-  },
-];
-
-test('do not display scope selector without x-axis filters', async () => {
-  renderSubmenu({});
-  await expectDrillByEnabled();
-  await screen.findByText('col1');
-  expect(
-    screen.queryByTestId('drill-by-scope-selector'),
-  ).not.toBeInTheDocument();
-});
-
-test('do not display scope selector with only x-axis filters', async () => {
-  renderSubmenu({
-    drillByConfig: { filters: [], xAxisFilters, groupbyFieldName: 'groupby' },
-  });
-  await expectDrillByEnabled();
-  await screen.findByText('col1');
-  expect(
-    screen.queryByTestId('drill-by-scope-selector'),
-  ).not.toBeInTheDocument();
-});
-
-test('display scope selector when x-axis and series filters are present', async () => {
-  renderSubmenu({
-    drillByConfig: {
-      filters: defaultFilters,
-      xAxisFilters,
-      groupbyFieldName: 'groupby',
-    },
-  });
-  await expectDrillByEnabled();
-  await screen.findByText('col1');
-
-  const scopeSelector = screen.getByTestId('drill-by-scope-selector');
-  expect(scopeSelector).toBeInTheDocument();
-  expect(within(scopeSelector).getByText('Jan 2021')).toBeInTheDocument();
-  expect(within(scopeSelector).getByText('val')).toBeInTheDocument();
-  expect(within(scopeSelector).getByText('Both')).toBeInTheDocument();
-});
-
-test('apply both x-axis and series filters by default', async () => {
-  const onSelectionMock = jest.fn();
-  renderSubmenu({
-    drillByConfig: {
-      filters: defaultFilters,
-      xAxisFilters,
-      groupbyFieldName: 'groupby',
-    },
-    onSelection: onSelectionMock,
-  });
-  await expectDrillByEnabled();
-
-  const col1Element = await screen.findByText('col1');
-  userEvent.click(col1Element);
-
-  expect(onSelectionMock).toHaveBeenCalledWith(
-    { column_name: 'col1', groupby: true },
-    {
-      filters: [...xAxisFilters, ...defaultFilters],
-      groupbyFieldName: 'groupby',
-    },
-  );
-});
-
-test('apply only x-axis filters when x-axis scope is selected', async () => {
-  const onSelectionMock = jest.fn();
-  renderSubmenu({
-    drillByConfig: {
-      filters: defaultFilters,
-      xAxisFilters,
-      groupbyFieldName: 'groupby',
-    },
-    onSelection: onSelectionMock,
-  });
-  await expectDrillByEnabled();
-  await screen.findByText('col1');
-
-  const scopeSelector = screen.getByTestId('drill-by-scope-selector');
-  userEvent.click(within(scopeSelector).getByText('Jan 2021'));
-  userEvent.click(screen.getByText('col1'));
-
-  expect(onSelectionMock).toHaveBeenCalledWith(
-    { column_name: 'col1', groupby: true },
-    { filters: xAxisFilters, groupbyFieldName: 'groupby' },
-  );
-});
-
-test('apply only series filters when series scope is selected', async () => {
-  const onSelectionMock = jest.fn();
-  renderSubmenu({
-    drillByConfig: {
-      filters: defaultFilters,
-      xAxisFilters,
-      groupbyFieldName: 'groupby',
-    },
-    onSelection: onSelectionMock,
-  });
-  await expectDrillByEnabled();
-  await screen.findByText('col1');
-
-  const scopeSelector = screen.getByTestId('drill-by-scope-selector');
-  userEvent.click(within(scopeSelector).getByText('val'));
-  userEvent.click(screen.getByText('col1'));
-
-  expect(onSelectionMock).toHaveBeenCalledWith(
-    { column_name: 'col1', groupby: true },
-    { filters: defaultFilters, groupbyFieldName: 'groupby' },
-  );
-});
-
-test('apply x-axis filters when only x-axis filters are present', async () => {
-  const onSelectionMock = jest.fn();
-  renderSubmenu({
-    drillByConfig: { filters: [], xAxisFilters, groupbyFieldName: 'groupby' },
-    onSelection: onSelectionMock,
-  });
-  await expectDrillByEnabled();
-
-  const col1Element = await screen.findByText('col1');
-  userEvent.click(col1Element);
-
-  expect(onSelectionMock).toHaveBeenCalledWith(
-    { column_name: 'col1', groupby: true },
-    { filters: xAxisFilters, groupbyFieldName: 'groupby' },
-  );
-});
-
 test('matrixify_mode_rows enabled should not render component', () => {
  const { container } = renderSubmenu({
    formData: {
@@ -29,7 +29,6 @@ import { t } from '@apache-superset/core/translation';
 import {
  BaseFormData,
  Behavior,
-  BinaryQueryObjectFilterClause,
  Column,
  ContextMenuFilters,
  ensureIsArray,
@@ -43,7 +42,6 @@ import {
  Popover,
  Icons,
 } from '@superset-ui/core/components';
-import { Radio } from '@superset-ui/core/components/Radio';
 import { debounce } from 'lodash-es';
 import { List, type RowComponentProps } from 'react-window';
 import { InputRef } from 'antd';
@@ -82,15 +80,6 @@ function DrillByColumnRow({
  );
 }

-enum DrillByFilterScope {
-  XAxis = 'x-axis',
-  Series = 'series',
-  All = 'all',
-}
-
-const formatFilterValues = (filters: BinaryQueryObjectFilterClause[]) =>
-  filters.map(filter => filter.formattedVal ?? String(filter.val)).join(', ');
-
 export interface DrillBySubmenuProps {
  drillByConfig?: ContextMenuFilters['drillBy'];
  formData: BaseFormData & { [key: string]: any };
@@ -99,11 +88,7 @@ export interface DrillBySubmenuProps {
  onCloseMenu?: () => void;
  openNewModal?: boolean;
  excludedColumns?: Column[];
-  onDrillBy?: (
-    column: Column,
-    dataset: Dataset,
-    drillByConfig?: ContextMenuFilters['drillBy'],
-  ) => void;
+  onDrillBy?: (column: Column, dataset: Dataset) => void;
  dataset?: Dataset;
  isLoadingDataset?: boolean;
 }
@@ -125,7 +110,6 @@ export const DrillBySubmenu = ({
  const [searchInput, setSearchInput] = useState('');
  const [debouncedSearchInput, setDebouncedSearchInput] = useState('');
  const [popoverOpen, setPopoverOpen] = useState(false);
-  const [filterScope, setFilterScope] = useState(DrillByFilterScope.All);
  const ref = useRef<InputRef>(null);
  const menuItemRef = useRef<HTMLButtonElement>(null);

@@ -135,54 +119,18 @@ export const DrillBySubmenu = ({
  );
  const showSearch = columns.length > SHOW_COLUMNS_SEARCH_THRESHOLD;

-  const seriesFilters = useMemo(
-    () => ensureIsArray(drillByConfig?.filters),
-    [drillByConfig?.filters],
-  );
-  const xAxisFilters = useMemo(
-    () => ensureIsArray(drillByConfig?.xAxisFilters),
-    [drillByConfig?.xAxisFilters],
-  );
-  // Both the clicked x-axis value and the clicked series can scope the
-  // drilled data; when both are available the user picks which to apply
-  const showScopeSelector = seriesFilters.length > 0 && xAxisFilters.length > 0;
-
-  const effectiveDrillByConfig = useMemo(():
-    | ContextMenuFilters['drillBy']
-    | undefined => {
-    if (!drillByConfig) {
-      return undefined;
-    }
-    let filters = [...xAxisFilters, ...seriesFilters];
-    if (showScopeSelector && filterScope === DrillByFilterScope.XAxis) {
-      filters = xAxisFilters;
-    } else if (showScopeSelector && filterScope === DrillByFilterScope.Series) {
-      filters = seriesFilters;
-    }
-    const config = { ...drillByConfig, filters };
-    // the x-axis filters have been folded into `filters` above
-    delete config.xAxisFilters;
-    return config;
-  }, [
-    drillByConfig,
-    filterScope,
-    seriesFilters,
-    showScopeSelector,
-    xAxisFilters,
-  ]);
-
  const handleSelection = useCallback(
    (event: React.MouseEvent, column: Column) => {
      onClick(event);
-      onSelection(column, effectiveDrillByConfig);
+      onSelection(column, drillByConfig);
      if (openNewModal && onDrillBy && dataset) {
-        onDrillBy(column, dataset, effectiveDrillByConfig);
+        onDrillBy(column, dataset);
      }
      setPopoverOpen(false);
      onCloseMenu();
    },
    [
-      effectiveDrillByConfig,
+      drillByConfig,
      onClick,
      onSelection,
      openNewModal,
@@ -200,10 +148,9 @@ export const DrillBySubmenu = ({
        ref.current?.input?.focus({ preventScroll: true });
      }, 100);
    } else {
-      // Reset search input and filter scope when menu is closed
+      // Reset search input when menu is closed
      setSearchInput('');
      setDebouncedSearchInput('');
-      setFilterScope(DrillByFilterScope.All);
    }
    return () => {
      if (timeoutId) clearTimeout(timeoutId);
@@ -290,55 +237,6 @@ export const DrillBySubmenu = ({
      `}
      onClick={e => e.stopPropagation()}
    >
-      {showScopeSelector && (
-        <div
-          data-test="drill-by-scope-selector"
-          css={css`
-            margin-bottom: ${theme.sizeUnit * 2}px;
-            padding-bottom: ${theme.sizeUnit * 2}px;
-            border-bottom: 1px solid ${theme.colorSplit};
-          `}
-        >
-          <div
-            css={css`
-              color: ${theme.colorTextSecondary};
-              margin-bottom: ${theme.sizeUnit}px;
-            `}
-          >
-            {t('Filter by')}
-          </div>
-          <Radio.Group
-            value={filterScope}
-            onChange={e => setFilterScope(e.target.value)}
-            css={css`
-              display: flex;
-              flex-direction: column;
-              .ant-radio-wrapper {
-                margin-inline-end: 0;
-                span:last-of-type {
-                  overflow: hidden;
-                  text-overflow: ellipsis;
-                  white-space: nowrap;
-                }
-              }
-            `}
-          >
-            <Radio
-              value={DrillByFilterScope.XAxis}
-              title={formatFilterValues(xAxisFilters)}
-            >
-              {formatFilterValues(xAxisFilters)}
-            </Radio>
-            <Radio
-              value={DrillByFilterScope.Series}
-              title={formatFilterValues(seriesFilters)}
-            >
-              {formatFilterValues(seriesFilters)}
-            </Radio>
-            <Radio value={DrillByFilterScope.All}>{t('Both')}</Radio>
-          </Radio.Group>
-        </div>
-      )}
      {showSearch && (
        <Input
          ref={ref}
@@ -528,57 +528,6 @@ describe('PropertiesModal', () => {
    });
  });

-  test('preserves certification fields on save without opening Certification section', async () => {
-    // Accordion Collapse only mounts the active panel, so certifiedBy /
-    // certificationDetails FormItems are unregistered until Certification is
-    // opened. onFinish must use getFieldsValue(true) to read store values for
-    // unregistered fields; otherwise save clears certified_by to null.
-    const put = jest.spyOn(SupersetCore.SupersetClient, 'put');
-    put.mockResolvedValue({
-      json: {
-        result: {
-          dashboard_title: 'dashboard_title',
-          slug: 'slug',
-          json_metadata: 'json_metadata',
-          editors: 'editors',
-        },
-      },
-    } as any);
-    mockedIsFeatureEnabled.mockReturnValue(false);
-    const props = createProps();
-    const propsWithDashboardInfo = {
-      ...props,
-      dashboardInfo: {
-        ...dashboardInfo,
-        json_metadata: mockedJsonMetadata,
-      },
-    };
-    render(<PropertiesModal {...propsWithDashboardInfo} />, {
-      useRedux: true,
-    });
-    await screen.findByTestId('dashboard-edit-properties-form');
-
-    // Only General information fields are mounted; Certification inputs are not.
-    expect(screen.getAllByRole('textbox')).toHaveLength(3);
-    expect(screen.queryByText('Certified by')).not.toBeInTheDocument();
-
-    await userEvent.click(screen.getByRole('button', { name: 'Save' }));
-
-    await waitFor(() => {
-      expect(props.onSubmit).toHaveBeenCalledTimes(1);
-    });
-    const submitCall = props.onSubmit.mock.calls[0][0];
-    expect(submitCall.certifiedBy).toBe('John Doe');
-    expect(submitCall.certificationDetails).toBe('Sample certification');
-
-    expect(put).toHaveBeenCalled();
-    const putRequest = put.mock.calls[0][0];
-    expect(typeof putRequest.body).toBe('string');
-    const putBody = JSON.parse(putRequest.body as string);
-    expect(putBody.certified_by).toBe('John Doe');
-    expect(putBody.certification_details).toBe('Sample certification');
-  });
-
  test('submitting with onlyApply:true', async () => {
    mockedIsFeatureEnabled.mockReturnValue(false);
    const props = createProps();
@@ -307,7 +307,7 @@ const PropertiesModal = ({
      slug,
      certifiedBy,
      certificationDetails,
-    } = form.getFieldsValue(true);
+    } = form.getFieldsValue();
    let currentJsonMetadata = jsonMetadata;

    // validate currentJsonMetadata
@@ -1,155 +0,0 @@
-/**
- * Licensed to the Apache Software Foundation (ASF) under one
- * or more contributor license agreements.  See the NOTICE file
- * distributed with this work for additional information
- * regarding copyright ownership.  The ASF licenses this file
- * to you under the Apache License, Version 2.0 (the
- * "License"); you may not use this file except in compliance
- * with the License.  You may obtain a copy of the License at
- *
- *   http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing,
- * software distributed under the License is distributed on an
- * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
- * KIND, either express or implied.  See the License for the
- * specific language governing permissions and limitations
- * under the License.
- */
-import { DataMaskStateWithId } from '@superset-ui/core';
-
-// Mock factories must build their own jest.fn()s: jest.mock calls are hoisted
-// above this file's declarations, so a factory closing over a const would read
-// it before initialization.
-jest.mock('@apache-superset/core/utils', () => ({
-  logging: { debug: jest.fn(), warn: jest.fn(), error: jest.fn() },
-}));
-
-jest.mock('../views/store', () => ({
-  store: { dispatch: jest.fn(), getState: jest.fn(), subscribe: jest.fn() },
-}));
-
-// eslint-disable-next-line import/first
-import { embeddedApi } from './api';
-// eslint-disable-next-line import/first
-import { updateDataMask } from '../dataMask/actions';
-
-const { logging: mockLogging } = jest.requireMock(
-  '@apache-superset/core/utils',
-);
-const { store: mockStore } = jest.requireMock('../views/store');
-const mockDispatch = mockStore.dispatch;
-const mockGetState = mockStore.getState;
-
-const nativeFilterMask = { filterState: { value: ['CA'] } };
-const crossFilterMask = { filterState: { value: [2024] } };
-
-// `dashboardInfo.id` is only set once HYDRATE_DASHBOARD lands, so it doubles as
-// the "dashboard is hydrated" signal setDataMask waits for.
-function stateWithFilters(filterIds: string[]) {
-  return {
-    dashboardInfo: { id: 1 },
-    dataMask: Object.fromEntries(filterIds.map(id => [id, { id }])),
-  };
-}
-
-beforeEach(() => {
-  jest.clearAllMocks();
-});
-
-test('setDataMask dispatches an update for each known filter', () => {
-  mockGetState.mockReturnValue(
-    stateWithFilters(['NATIVE_FILTER-1', 'NATIVE_FILTER-2']),
-  );
-
-  embeddedApi.setDataMask({
-    dataMask: {
-      'NATIVE_FILTER-1': nativeFilterMask,
-      'NATIVE_FILTER-2': crossFilterMask,
-    } as unknown as DataMaskStateWithId,
-  });
-
-  expect(mockDispatch).toHaveBeenCalledTimes(2);
-  expect(mockDispatch).toHaveBeenCalledWith(
-    updateDataMask('NATIVE_FILTER-1', nativeFilterMask),
-  );
-  expect(mockDispatch).toHaveBeenCalledWith(
-    updateDataMask('NATIVE_FILTER-2', crossFilterMask),
-  );
-  expect(mockLogging.warn).not.toHaveBeenCalled();
-});
-
-test('setDataMask ignores filter ids the dashboard does not know', () => {
-  mockGetState.mockReturnValue(stateWithFilters(['NATIVE_FILTER-1']));
-
-  embeddedApi.setDataMask({
-    dataMask: {
-      'NATIVE_FILTER-1': nativeFilterMask,
-      'NATIVE_FILTER-from-another-dashboard': crossFilterMask,
-    } as unknown as DataMaskStateWithId,
-  });
-
-  expect(mockDispatch).toHaveBeenCalledTimes(1);
-  expect(mockDispatch).toHaveBeenCalledWith(
-    updateDataMask('NATIVE_FILTER-1', nativeFilterMask),
-  );
-  expect(mockLogging.warn).toHaveBeenCalledWith(
-    expect.stringContaining('unknown filter ids'),
-    'NATIVE_FILTER-from-another-dashboard',
-  );
-});
-
-test('setDataMask ignores the change-trigger flags observeDataMask emits', () => {
-  mockGetState.mockReturnValue(stateWithFilters(['NATIVE_FILTER-1']));
-
-  embeddedApi.setDataMask({
-    dataMask: {
-      'NATIVE_FILTER-1': nativeFilterMask,
-      crossFiltersChanged: false,
-      nativeFiltersChanged: true,
-    } as unknown as DataMaskStateWithId,
-  });
-
-  expect(mockDispatch).toHaveBeenCalledTimes(1);
-  expect(mockDispatch).toHaveBeenCalledWith(
-    updateDataMask('NATIVE_FILTER-1', nativeFilterMask),
-  );
-});
-
-test('setDataMask dispatches nothing when no filter id is known', () => {
-  mockGetState.mockReturnValue(stateWithFilters([]));
-
-  embeddedApi.setDataMask({
-    dataMask: {
-      'NATIVE_FILTER-1': nativeFilterMask,
-    } as unknown as DataMaskStateWithId,
-  });
-
-  expect(mockDispatch).not.toHaveBeenCalled();
-  expect(mockLogging.warn).toHaveBeenCalled();
-});
-
-test('setDataMask queues the mask until the dashboard hydrates', () => {
-  let notifyStoreSubscribers = () => {};
-  mockStore.subscribe.mockImplementation((listener: () => void) => {
-    notifyStoreSubscribers = listener;
-    return jest.fn();
-  });
-  mockGetState.mockReturnValue({ dataMask: {} });
-
-  embeddedApi.setDataMask({
-    dataMask: {
-      'NATIVE_FILTER-1': nativeFilterMask,
-    } as unknown as DataMaskStateWithId,
-  });
-
-  expect(mockDispatch).not.toHaveBeenCalled();
-  expect(mockLogging.warn).not.toHaveBeenCalled();
-
-  mockGetState.mockReturnValue(stateWithFilters(['NATIVE_FILTER-1']));
-  notifyStoreSubscribers();
-
-  expect(mockDispatch).toHaveBeenCalledWith(
-    updateDataMask('NATIVE_FILTER-1', nativeFilterMask),
-  );
-});
@@ -17,15 +17,12 @@
 * under the License.
 */
 import { DataMaskStateWithId, JsonObject } from '@superset-ui/core';
-import { logging } from '@apache-superset/core/utils';
 import getBootstrapData from 'src/utils/getBootstrapData';
-import { batch } from 'react-redux';
 import { store } from '../views/store';
 import { getDashboardPermalink as getDashboardPermalinkUtil } from '../utils/urlUtils';
 import { DashboardChartStates } from '../dashboard/types/chartState';
 import { hasStatefulCharts } from '../dashboard/util/chartStateConverter';
 import { getChartDataPayloads as getChartDataPayloadsUtil } from './utils';
-import { updateDataMask } from '../dataMask/actions';

 const bootstrapData = getBootstrapData();

@@ -43,7 +40,6 @@ type EmbeddedSupersetApi = {
  getChartDataPayloads: (params?: {
    chartId?: number;
  }) => Promise<Record<string, JsonObject>>;
-  setDataMask: ({ dataMask }: { dataMask: DataMaskStateWithId }) => void;
 };

 const getScrollSize = (): Size => ({
@@ -87,58 +83,6 @@ const getActiveTabs = () => store?.getState()?.dashboardState?.activeTabs || [];

 const getDataMask = () => store?.getState()?.dataMask || {};

-const isDashboardHydrated = () => Boolean(store?.getState()?.dashboardInfo?.id);
-
-const applyDataMask = (dataMask: DataMaskStateWithId) => {
-  // The dashboard's own data mask holds an entry for every native filter and
-  // every cross-filter-capable chart, so it doubles as the set of filter ids
-  // this dashboard can accept. Anything else — a filter id from a different
-  // dashboard, or the change-trigger flags that `observeDataMask` emits
-  // alongside the mask — would otherwise be inserted as a bogus filter and
-  // treated as a globally scoped filter by the active-filter derivation.
-  const knownFilterIds = new Set(Object.keys(getDataMask()));
-  const entries = Object.entries(dataMask);
-  const applicable = entries.filter(([id]) => knownFilterIds.has(id));
-  const ignored = entries.filter(([id]) => !knownFilterIds.has(id));
-
-  if (ignored.length) {
-    logging.warn(
-      '[superset] setDataMask ignored unknown filter ids:',
-      ignored.map(([id]) => id).join(', '),
-    );
-  }
-
-  batch(() => {
-    applicable.forEach(([filterId, mask]) => {
-      store?.dispatch(updateDataMask(filterId, mask));
-    });
-  });
-};
-
-// A mask requested before the dashboard hydrates cannot be applied yet: the
-// store holds no filter entries to validate the ids against, and hydration
-// would replace anything dispatched in the meantime. Hold the request and
-// replay it once hydration lands.
-let queuedDataMask: DataMaskStateWithId | undefined;
-let unsubscribeFromHydration: (() => void) | undefined;
-
-const setDataMask = ({ dataMask }: { dataMask: DataMaskStateWithId }) => {
-  if (isDashboardHydrated()) {
-    applyDataMask(dataMask);
-    return;
-  }
-
-  queuedDataMask = { ...queuedDataMask, ...dataMask };
-  unsubscribeFromHydration ??= store?.subscribe(() => {
-    if (!isDashboardHydrated()) return;
-    unsubscribeFromHydration?.();
-    unsubscribeFromHydration = undefined;
-    const pending = queuedDataMask;
-    queuedDataMask = undefined;
-    if (pending) applyDataMask(pending);
-  });
-};
-
 const getChartStates = () =>
  store?.getState()?.dashboardState?.chartStates || {};

@@ -158,5 +102,4 @@ export const embeddedApi: EmbeddedSupersetApi = {
  getDataMask,
  getChartStates,
  getChartDataPayloads,
-  setDataMask,
 };
@@ -298,7 +298,6 @@ window.addEventListener('message', function embeddedPageInitializer(event) {
    Switchboard.defineMethod('getActiveTabs', embeddedApi.getActiveTabs);
    Switchboard.defineMethod('getDataMask', embeddedApi.getDataMask);
    Switchboard.defineMethod('getChartStates', embeddedApi.getChartStates);
-    Switchboard.defineMethod('setDataMask', embeddedApi.setDataMask);
    Switchboard.defineMethod(
      'getChartDataPayloads',
      embeddedApi.getChartDataPayloads,
@@ -43,10 +43,6 @@ import path from 'path';

 const chartEndpoint = 'glob:*api/v1/chart/*';

-const EDIT_PROPERTIES_INITIAL_STATE = {
-  explore: { can_overwrite: true, can_add: true },
-};
-
 fetchMock.get(chartEndpoint, { json: 'foo' });

 window.featureFlags = {
@@ -174,10 +170,7 @@ describe('ExploreChartHeader', () => {

  test('Cancelling changes to the properties should reset previous properties', async () => {
    const props = createProps();
-    render(<ExploreHeader {...props} />, {
-      useRedux: true,
-      initialState: EDIT_PROPERTIES_INITIAL_STATE,
-    });
+    render(<ExploreHeader {...props} />, { useRedux: true });
    const newChartName = 'New chart name';
    const prevChartName = props.sliceName;

@@ -633,7 +626,6 @@ describe('Additional actions tests', () => {
    const props = createProps();
    render(<ExploreHeader {...props} />, {
      useRedux: true,
-      initialState: EDIT_PROPERTIES_INITIAL_STATE,
    });

    userEvent.click(screen.getByLabelText('Menu actions trigger'));
@@ -728,7 +720,6 @@ describe('Additional actions tests', () => {
    const props = createProps();
    render(<ExploreHeader {...props} />, {
      useRedux: true,
-      initialState: EDIT_PROPERTIES_INITIAL_STATE,
    });
    expect(props.actions.redirectSQLLab).toHaveBeenCalledTimes(0);
    userEvent.click(screen.getByLabelText('Menu actions trigger'));
@@ -279,7 +279,6 @@ interface ExploreState {
    chartStates?: Record<number, JsonObject>;
    can_export_image?: boolean;
    can_overwrite?: boolean;
-    can_add?: boolean;
  };
  common?: {
    conf?: {
@@ -336,30 +335,17 @@ export const useExploreAdditionalActionsMenu = (
  const canOverwrite = useSelector<ExploreState, boolean>(
    state => state.explore?.can_overwrite ?? false,
  );
-  // Mirrors the `can_write` permission on the `Chart` view, the same
-  // permission `ChartRestApi.put` (and `restore_version`) require. An editor
-  // who satisfies `canOverwriteSlice` but lacks it would still be turned away
-  // by the API, so the properties editor stays hidden for them too.
-  const canWriteChart = useSelector<ExploreState, boolean>(
-    state => state.explore?.can_add ?? false,
-  );
  const user = useSelector<
    ExploreState,
    UserWithPermissionsAndRoles | undefined
  >(state => state.user);
-  // `can_overwrite` alone hides version history (and edit-properties) on any
-  // chart without explicit editors — every seeded chart — even from admins.
-  // Same predicate SaveModal uses, so a user who can save a chart can also
-  // see its history and edit its properties.
+  // `can_overwrite` alone hides version history on any chart without explicit
+  // editors — every seeded chart — even from admins. Same predicate SaveModal
+  // uses, so a user who can save a chart can also see its history.
  const canModifySlice = useMemo(
    () => canOverwriteSlice({ slice, user, canOverwrite }),
    [slice, user, canOverwrite],
  );
-  // `canModifySlice` alone governs version history, whose own read-only
-  // listing needs no write permission (only its restore action does, and
-  // that's gated server-side). Editing properties, however, always PUTs the
-  // chart, so it additionally needs the write permission above.
-  const canEditProperties = canModifySlice && canWriteChart;

  const dataExportDisabled = !canDownloadCSV;
  const imageExportDisabled = !canExportImage;
@@ -615,7 +601,7 @@ export const useExploreAdditionalActionsMenu = (
    const menuItems = [];

    // Edit chart properties
-    if (slice && canEditProperties) {
+    if (slice) {
      menuItems.push({
        key: MENU_KEYS.EDIT_PROPERTIES,
        label: t('Edit chart properties'),
@@ -1098,7 +1084,6 @@ export const useExploreAdditionalActionsMenu = (
  }, [
    addDangerToast,
    canDownloadCSV,
-    canEditProperties,
    canModifySlice,
    copyLink,
    dashboards,
@@ -27,7 +27,6 @@ import {
  getExportScreenshotMenuItems,
 } from './index';
 import * as exploreUtils from 'src/explore/exploreUtils';
-import { Slice } from 'src/types/Chart';

 jest.mock('src/explore/exploreUtils', () => ({
  __esModule: true,
@@ -75,22 +74,13 @@ jest.mock('@superset-ui/core', () => ({
  })),
 }));

-jest.mock('src/utils/getBootstrapData', () => ({
-  __esModule: true,
-  default: jest.fn(() => ({
-    common: {
-      user_subjects: [1],
-    },
-  })),
-}));
-
 const defaultProps = {
  latestQueryFormData: {
    datasource: '1__table',
    viz_type: 'pivot_table_v2',
  },
  canDownloadCSV: true,
-  slice: { slice_id: 1, slice_name: 'Test Chart' } as unknown as Slice,
+  slice: { slice_id: 1, slice_name: 'Test Chart' },
  ownState: {},
  dashboards: [],
  onOpenInEditor: jest.fn(),
@@ -123,63 +113,6 @@ beforeEach(() => {
  mockExportChart.mockResolvedValue(undefined);
 });

-test('hides Edit chart properties from a user who is not an owner/editor of the chart (regression #38884)', async () => {
-  render(
-    <TestComponent
-      {...defaultProps}
-      slice={
-        {
-          slice_id: 1,
-          slice_name: 'Test Chart',
-          editors: [2],
-        } as unknown as Slice
-      }
-    />,
-    { useRedux: true },
-  );
-
-  expect(await screen.findByText('Data Export Options')).toBeInTheDocument();
-  expect(screen.queryByText('Edit chart properties')).not.toBeInTheDocument();
-});
-
-test('shows Edit chart properties for a chart editor with chart write permission', async () => {
-  render(
-    <TestComponent
-      {...defaultProps}
-      slice={
-        {
-          slice_id: 1,
-          slice_name: 'Test Chart',
-          editors: [1],
-        } as unknown as Slice
-      }
-    />,
-    { useRedux: true, initialState: { explore: { can_add: true } } },
-  );
-
-  expect(await screen.findByText('Data Export Options')).toBeInTheDocument();
-  expect(screen.getByText('Edit chart properties')).toBeInTheDocument();
-});
-
-test('hides Edit chart properties from a chart editor lacking chart write permission', async () => {
-  render(
-    <TestComponent
-      {...defaultProps}
-      slice={
-        {
-          slice_id: 1,
-          slice_name: 'Test Chart',
-          editors: [1],
-        } as unknown as Slice
-      }
-    />,
-    { useRedux: true, initialState: { explore: { can_add: false } } },
-  );
-
-  expect(await screen.findByText('Data Export Options')).toBeInTheDocument();
-  expect(screen.queryByText('Edit chart properties')).not.toBeInTheDocument();
-});
-
 test('shows 413 error toast when exportCSV fails with 413', async () => {
  mockExportChart.mockRejectedValue({ status: 413 });

@@ -738,14 +738,4 @@ const smp = new SpeedMeasurePlugin({
  disable: !measure,
 });

-// Emits per-asset/entrypoint sizes via `--json` (the default `stats: 'minimal'`
-// above omits both). Not `normal`/`detailed` stats: those also serialize the
-// full ~15k-module dependency graph, which is hundreds of MB for this app --
-// large enough to exceed Node's max string length when read back with
-// `fs.readFileSync`. Used by scripts/bundle-size-summary.js in CI.
-// e.g. BUNDLE_SIZE_STATS=true npm run build -- --json=stats.json
-if (process.env.BUNDLE_SIZE_STATS) {
-  config.stats = { all: false, assets: true, entrypoints: true };
-}
-
 module.exports = smp.wrap(config);
@@ -22,7 +22,7 @@ import re
 from datetime import datetime
 from typing import Any, Callable, TYPE_CHECKING

-from flask import current_app as app, make_response, request, Response
+from flask import current_app as app, g, make_response, request, Response
 from flask_appbuilder.api import expose, protect
 from flask_babel import gettext as _
 from marshmallow import ValidationError
@@ -37,7 +37,6 @@ from superset.charts.data.dashboard_filter_context import (
    DashboardFilterContext,
    get_dashboard_filter_context,
 )
-from superset.charts.data.form_data import set_form_data
 from superset.charts.data.query_context_cache_loader import QueryContextCacheLoader
 from superset.charts.schemas import ChartDataQueryContextSchema
 from superset.commands.chart.data.create_async_job_command import (
@@ -215,7 +214,7 @@ class ChartDataRestApi(ChartRestApi):
        # templating pulls form data from the request globally, so this
        # fallback ensures it has the filters and extra_form_data applied
        # when used in get_sqla_query which constructs the final query.
-        set_form_data(json_body)
+        g.form_data = json_body

        try:
            query_context = self._create_query_context_from_form(json_body)
@@ -411,7 +410,7 @@ class ChartDataRestApi(ChartRestApi):
            cached_data = self._load_query_context_form_from_cache(cache_key)
            # Set form_data in Flask Global as it is used as a fallback
            # for async queries with jinja context
-            set_form_data(cached_data)
+            g.form_data = cached_data
            query_context = self._create_query_context_from_form(cached_data)
            command = ChartDataCommand(query_context)
            command.validate()
@@ -1,63 +0,0 @@
-# Licensed to the Apache Software Foundation (ASF) under one
-# or more contributor license agreements.  See the NOTICE file
-# distributed with this work for additional information
-# regarding copyright ownership.  The ASF licenses this file
-# to you under the Apache License, Version 2.0 (the
-# "License"); you may not use this file except in compliance
-# with the License.  You may obtain a copy of the License at
-#
-#   http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing,
-# software distributed under the License is distributed on an
-# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
-# KIND, either express or implied.  See the License for the
-# specific language governing permissions and limitations
-# under the License.
-
-from __future__ import annotations
-
-from typing import Any, TYPE_CHECKING
-
-from flask import g
-
-if TYPE_CHECKING:
-    from superset.common.query_context import QueryContext
-    from superset.common.query_object import QueryObject
-
-
-def set_form_data(form_data: dict[str, Any]) -> None:
-    """Expose chart data request fields to Jinja template macros."""
-    g.form_data = form_data
-
-
-def _serialize_query(
-    query: QueryObject,
-    form_data: dict[str, Any],
-) -> dict[str, Any]:
-    """Serialize query fields consumed by the Jinja form-data fallback."""
-    query_data = dict(query.to_dict())
-    query_data["filters"] = query.filter
-    if query.time_range is not None:
-        query_data["time_range"] = query.time_range
-    if url_params := form_data.get("url_params"):
-        query_data["url_params"] = url_params
-    return query_data
-
-
-def set_query_context_form_data(
-    query_context: QueryContext,
-    datasource_id: int,
-    datasource_type: str,
-) -> None:
-    """Expose a programmatically-created query like a chart data API request."""
-    form_data = query_context.form_data or {}
-    set_form_data(
-        {
-            "datasource": {"id": datasource_id, "type": datasource_type},
-            "queries": [
-                _serialize_query(query, form_data) for query in query_context.queries
-            ],
-            "form_data": form_data,
-        }
-    )
@@ -21,7 +21,6 @@ from functools import partial
 from typing import cast
 from uuid import UUID

-from superset import db
 from superset.commands.base import BaseCommand
 from superset.commands.database.exceptions import DatabaseNotFoundError
 from superset.daos.database import DatabaseUserOAuth2TokensDAO
@@ -97,11 +96,6 @@ class OAuth2StoreTokenCommand(BaseCommand):
            database_id=self._state["database_id"],
        ):
            DatabaseUserOAuth2TokensDAO.delete([existing])
-            # flush the delete before inserting the replacement -- the unit
-            # of work otherwise emits INSERTs before DELETEs within a single
-            # flush, which would trip the (user_id, database_id) unique
-            # index below on the old row.
-            db.session.flush()

        # store tokens
        expiration = datetime.now() + timedelta(seconds=token_response["expires_in"])
@@ -318,39 +318,27 @@ def import_tag(

    for tag_name in target_tag_names:
        try:
-            # Isolate each tag operation in a SAVEPOINT so a failure (e.g. a
-            # concurrent unique-constraint violation) rolls back only the failed
-            # tag and leaves the session usable for the remaining tags, instead
-            # of poisoning the session with a pending-rollback state.
-            with db_session.begin_nested():
-                tag = existing_tags.get(tag_name)
+            tag = existing_tags.get(tag_name)

-                # If tag does not exist, create it
-                if tag is None:
-                    description = tag_descriptions.get(tag_name, None)
-                    tag = Tag(name=tag_name, description=description, type="custom")
-                    db_session.add(tag)
-                    existing_tags[tag_name] = tag  # Update the existing_tags dictionary
+            # If tag does not exist, create it
+            if tag is None:
+                description = tag_descriptions.get(tag_name, None)
+                tag = Tag(name=tag_name, description=description, type="custom")
+                db_session.add(tag)
+                existing_tags[tag_name] = tag  # Update the existing_tags dictionary

-                # Ensure the association with the object
-                tagged_object = (
-                    db_session.query(TaggedObject)
-                    .filter_by(
-                        object_id=object_id, object_type=object_type, tag_id=tag.id
-                    )
-                    .first()
+            # Ensure the association with the object
+            tagged_object = (
+                db_session.query(TaggedObject)
+                .filter_by(object_id=object_id, object_type=object_type, tag_id=tag.id)
+                .first()
+            )
+            if not tagged_object:
+                new_tagged_object = TaggedObject(
+                    tag_id=tag.id, object_id=object_id, object_type=object_type
                )
-                if not tagged_object:
-                    new_tagged_object = TaggedObject(
-                        tag_id=tag.id, object_id=object_id, object_type=object_type
-                    )
-                    db_session.add(new_tagged_object)
+                db_session.add(new_tagged_object)

-            # Only record the tag as imported once the SAVEPOINT has been
-            # released (and its pending inserts flushed) without error; the
-            # nested block's own flush can still fail on a concurrent
-            # unique-constraint violation, in which case this line must not
-            # run.
            new_tag_ids.append(tag.id)

        except SQLAlchemyError as err:
@@ -361,9 +349,7 @@ def import_tag(
                object_id,
                err,
            )
-            # The SAVEPOINT was rolled back by begin_nested(); the session is
-            # still usable for the remaining tags.
-            continue
+            continue  # No need for manual rollback, handled by transaction decorator

    # Remove old tags not in the new config
    for tag in existing_assocs:
@@ -21,7 +21,6 @@ from typing import Any, cast

 from flask import current_app as app
 from flask_babel import gettext as __
-from jinja2.exceptions import TemplateError

 from superset import db, results_backend, results_backend_use_msgpack
 from superset.commands.base import BaseCommand
@@ -99,15 +98,6 @@ class SqlExecutionResultsCommand(BaseCommand):
                ),
                status=403,
            ) from ex
-        except TemplateError as ex:
-            raise SupersetErrorException(
-                SupersetError(
-                    message=str(ex),
-                    error_type=SupersetErrorType.GENERIC_COMMAND_ERROR,
-                    level=ErrorLevel.ERROR,
-                ),
-                status=400,
-            ) from ex

        # Now fetch results from backend (query exists, so this is a valid request)
        read_from_results_backend_start = now_as_float()
@@ -34,11 +34,11 @@ from superset.commands.dashboard.exceptions import (
    DashboardUpdateFailedError,
 )
 from superset.daos.base import BaseDAO, ColumnOperator, ColumnOperatorEnum
-from superset.dashboards.filters import DashboardAccessFilter
+from superset.dashboards.filters import DashboardAccessFilter, is_uuid
 from superset.exceptions import SupersetSecurityException
 from superset.extensions import db
 from superset.models.core import FavStar, FavStarClassName
-from superset.models.dashboard import Dashboard, id_or_slug_filter, is_uuid
+from superset.models.dashboard import Dashboard, id_or_slug_filter
 from superset.models.embedded_dashboard import EmbeddedDashboard
 from superset.models.helpers import skip_visibility_filter
 from superset.models.slice import Slice
@@ -16,26 +16,26 @@
 # under the License.
 from typing import Any

-from flask import current_app
+from flask import current_app, g
 from flask_babel import lazy_gettext as _
 from sqlalchemy import and_, or_
 from sqlalchemy.orm.query import Query

-from superset import db, security_manager
+from superset import db, is_feature_enabled, security_manager
 from superset.connectors.sqla.models import SqlaTable
 from superset.models.core import Database
-from superset.models.dashboard import Dashboard
+from superset.models.dashboard import Dashboard, is_uuid
+from superset.models.embedded_dashboard import EmbeddedDashboard
 from superset.models.slice import Slice
+from superset.security.guest_token import GuestTokenResourceType, GuestUser
 from superset.subjects.filters import (
    EditableFilter,
+    subject_relation_exists_for_current_user,
 )
 from superset.subjects.models import dashboard_editors, dashboard_viewers
 from superset.tags.filters import BaseTagIdFilter, BaseTagNameFilter
 from superset.utils.core import get_user_id
-from superset.utils.filters import (
-    get_dataset_access_filters,
-    guest_embedded_dashboard_filter,
-)
+from superset.utils.filters import get_dataset_access_filters
 from superset.views.base import BaseFilter
 from superset.views.base_api import BaseFavoriteFilter
 from superset.views.filters import BaseDeletedRecencyFilter, BaseDeletedStateFilter
@@ -110,20 +110,20 @@ class DashboardAccessFilter(BaseFilter):  # pylint: disable=too-few-public-metho
    """
    List dashboards with the following criteria:

-        1. Embedded guests: only the dashboards in their token, nothing else
-        2. Admins: all dashboards
-        3. Editors: their dashboards (published or not)
-        4. Viewers: published dashboards
-        5. Dashboards with no viewers → fall back to dataset-based access
-           (published only)
+    When ``ENABLE_VIEWERS`` is on:
+        1. Those where the user is an editor (published or not)
+        2. Those where the user is a viewer (published only)
+        3. Those with no viewers → fall back to dataset-based access (published only)
+        4. Embedded dashboard access (preserved as-is)
+
+    When ``ENABLE_VIEWERS`` is off (legacy):
+        1. Those which the user is an editor of
+        2. Those which have been published (if they have access to at least one slice)
+
+    If the user is an admin then show all dashboards.
    """

    def apply(self, query: Query, value: Any) -> Query:
-        # Guests are scoped to their token's dashboards only, never widened by
-        # the role paths below (mirrors ChartFilter).
-        if (guest_condition := guest_embedded_dashboard_filter()) is not None:
-            return query.filter(guest_condition)
-
        if security_manager.is_admin():
            return query

@@ -192,8 +192,91 @@ class DashboardAccessFilter(BaseFilter):  # pylint: disable=too-few-public-metho
            if user_id:
                filters.append(Dashboard.id.in_(extra_dashboards_filter(user_id)))

+        # (D) Embedded: preserved as-is
+        if is_feature_enabled("EMBEDDED_SUPERSET") and security_manager.is_guest_user(
+            g.user
+        ):
+            guest_user: GuestUser = g.user
+            embedded_dashboard_ids = [
+                r["id"]
+                for r in guest_user.resources
+                if r["type"] == GuestTokenResourceType.DASHBOARD.value
+            ]
+            condition = (
+                Dashboard.embedded.any(
+                    EmbeddedDashboard.uuid.in_(embedded_dashboard_ids)
+                )
+                if any(is_uuid(id_) for id_ in embedded_dashboard_ids)
+                else Dashboard.id.in_(embedded_dashboard_ids)
+            )
+            filters.append(condition)
+
        return query.filter(or_(*filters)) if filters else query

+    def _apply_legacy(self, query: Query) -> Query:
+        datasource_perm_query = (
+            db.session.query(Dashboard.id)
+            .join(Dashboard.slices, isouter=True)
+            .join(SqlaTable, Slice.datasource_id == SqlaTable.id)
+            .join(Database, SqlaTable.database_id == Database.id)
+            .filter(
+                and_(
+                    Dashboard.published.is_(True),
+                    get_dataset_access_filters(
+                        Slice,
+                        security_manager.can_access_all_datasources(),
+                    ),
+                )
+            )
+        )
+
+        # Editors query
+        editor_ids_query = db.session.query(dashboard_editors.c.dashboard_id).filter(
+            subject_relation_exists_for_current_user(dashboard_editors)
+        )
+
+        feature_flagged_filters = []
+        if is_feature_enabled("EMBEDDED_SUPERSET") and security_manager.is_guest_user(
+            g.user
+        ):
+            guest_user: GuestUser = g.user
+            embedded_dashboard_ids = [
+                r["id"]
+                for r in guest_user.resources
+                if r["type"] == GuestTokenResourceType.DASHBOARD.value
+            ]
+
+            # TODO (embedded): only use uuid filter once uuids are rolled out
+            condition = (
+                Dashboard.embedded.any(
+                    EmbeddedDashboard.uuid.in_(embedded_dashboard_ids)
+                )
+                if any(is_uuid(id_) for id_ in embedded_dashboard_ids)
+                else Dashboard.id.in_(embedded_dashboard_ids)
+            )
+
+            feature_flagged_filters.append(condition)
+
+        extra_access_filters = []
+        extra_filters = current_app.config.get("EXTRA_ACCESS_QUERY_FILTERS", {})
+        if extra_dashboards_filter := extra_filters.get("dashboards"):
+            user_id = get_user_id()
+            if user_id:
+                extra_access_filters.append(
+                    Dashboard.id.in_(extra_dashboards_filter(user_id))
+                )
+
+        query = query.filter(
+            or_(
+                Dashboard.id.in_(editor_ids_query),
+                Dashboard.id.in_(datasource_perm_query),
+                *feature_flagged_filters,
+                *extra_access_filters,
+            )
+        )
+
+        return query
+

 class DashboardEditableFilter(EditableFilter):  # pylint: disable=too-few-public-methods
    """Filter for dashboards the user can edit."""
@@ -41,44 +41,27 @@ params:
    filterOptionName: 2745eae5
    operator: NOT IN
    subject: country_code
-  color_scheme: supersetColors
+  compare_lag: '10'
+  compare_suffix: o10Y
+  country_fieldtype: cca3
  entity: country_name
  granularity_sqla: year
-  legendOrientation: top
-  legendType: scroll
+  groupby: []
+  limit: 0
+  markup_type: markdown
  max_bubble_size: '50'
-  opacity: 0.6
-  order_desc: true
-  row_limit: 500
+  row_limit: 50000
  series: region
-  show_legend: true
-  size:
-    aggregate: SUM
-    column:
-      column_name: SP_POP_TOTL
-    expressionType: SIMPLE
-    label: SUM(SP_POP_TOTL)
-    optionName: metric_size_life_expectancy_vs_rural
-  time_range: '2011-01-01 : 2011-01-02'
-  tooltipSizeFormat: SMART_NUMBER
-  truncateXAxis: true
-  viz_type: bubble_v2
-  x:
-    aggregate: SUM
-    column:
-      column_name: SP_RUR_TOTL_ZS
-    expressionType: SIMPLE
-    label: SUM(SP_RUR_TOTL_ZS)
-    optionName: metric_x_life_expectancy_vs_rural
-  y:
-    aggregate: SUM
-    column:
-      column_name: SP_DYN_LE00_IN
-    expressionType: SIMPLE
-    label: SUM(SP_DYN_LE00_IN)
-    optionName: metric_y_life_expectancy_vs_rural
+  show_bubbles: true
+  since: '2011-01-01'
+  size: sum__SP_POP_TOTL
+  time_range: '2014-01-01 : 2014-01-02'
+  until: '2011-01-02'
+  viz_type: bubble
+  x: sum__SP_RUR_TOTL_ZS
+  y: sum__SP_DYN_LE00_IN
 query_context: null
 slice_name: Life Expectancy VS Rural %
 uuid: c18faec9-ec43-4d36-8b66-4c8b1372020f
 version: 1.0.0
-viz_type: bubble_v2
+viz_type: bubble
@@ -46,7 +46,6 @@ Configuration:

 import logging
 from contextlib import AbstractContextManager, contextmanager
-from contextvars import ContextVar
 from typing import Any, Callable, cast, Generator, TYPE_CHECKING, TypeAlias, TypeVar

 from flask import current_app, g, has_app_context, has_request_context
@@ -61,7 +60,6 @@ from superset.mcp_service.guest_token_verifier import GUEST_TOKEN_CLAIM
 from superset.mcp_service.mcp_config import (
    default_user_resolver,
    get_mcp_api_key_enabled,
-    MCP_GUEST_ALLOWED_TOOLS,
    validate_multi_issuer_user_resolver,
 )
 from superset.mcp_service.session_scope import _mcp_session_token
@@ -80,15 +78,6 @@ F = TypeVar("F", bound=Callable[..., Any])

 logger = logging.getLogger(__name__)

-# The resolved user's id for the current tool call, set by
-# _setup_user_context(). g.user is only valid for the lifetime of the
-# per-call app context pushed by _get_app_context_manager() (see its
-# docstring) and is gone by the time LoggingMiddleware's on_call_tool/
-# on_message finally-blocks run after call_next() returns. This ContextVar
-# survives that context pop (mirrors _mcp_call_id_var in middleware.py) so
-# audit logging can attribute the call to the right user.
-_mcp_user_id_var: ContextVar[int | None] = ContextVar("mcp_user_id", default=None)
-
 # An MCP request resolves to a real DB ``User`` or, for embedded guests, a
 # ``GuestUser`` (an AnonymousUserMixin, not a ``User`` subclass). Both are valid
 # authenticated principals for tool execution.
@@ -255,9 +244,21 @@ def _log_scope_denial(

 # Default-deny allow-list for embedded guests: a guest may call only these tools,
 # regardless of MCP_RBAC_ENABLED or how the guest role (PUBLIC_ROLE_LIKE) is
-# configured. Everything else is denied, including newly added tools until listed.
-# Single source of truth: MCP_GUEST_ALLOWED_TOOLS in mcp_config.py.
-_DEFAULT_GUEST_ALLOWED_TOOLS: frozenset[str] = frozenset(MCP_GUEST_ALLOWED_TOOLS)
+# configured. Everything else is denied, including newly added tools until listed
+# here. Sync with mcp_config.py.
+_DEFAULT_GUEST_ALLOWED_TOOLS: frozenset[str] = frozenset(
+    {
+        # Dashboard structure, scoped to the token's embedded dashboards.
+        "get_dashboard_info",
+        "get_dashboard_layout",
+        "list_dashboards",
+        # Chart read + data, scoped by ChartFilter; data-model fields redacted.
+        "list_charts",
+        "get_chart_info",
+        "get_chart_data",
+        "get_chart_preview",
+    }
+)


 def _guest_allowed_tools() -> frozenset[str]:
@@ -889,9 +890,9 @@ def _assert_user_active(user: MCPUser | None) -> None:
        )


-def _resolve_user_with_retry() -> MCPUser | None:
+def _setup_user_context() -> MCPUser | None:
    """
-    Resolve the current user, retrying once on a stale DB connection.
+    Set up user context for MCP tool execution.

    Includes retry logic for stale database connections (e.g., SSL dropped
    by proxy/load balancer after idle periods). On OperationalError, the
@@ -900,6 +901,14 @@ def _resolve_user_with_retry() -> MCPUser | None:
    Returns:
        User object with roles and groups loaded, or None if no Flask context
    """
+    # Clear stale g.user to prevent user impersonation across
+    # tool calls when no per-request middleware refreshes it.
+    # Only clear in app-context-only mode; preserve g.user when
+    # a request context is active (external middleware set it).
+
+    if not has_request_context():
+        g.pop("user", None)
+
    from sqlalchemy.exc import OperationalError

    user = None  # Ensure defined before loop in case of unexpected exit
@@ -916,7 +925,7 @@ def _resolve_user_with_retry() -> MCPUser | None:
            if hasattr(user, "groups"):
                user_groups = user.groups  # noqa: F841

-            return user
+            break
        except RuntimeError as e:
            # No Flask application context (e.g., prompts before middleware runs)
            if "application context" in str(e):
@@ -950,38 +959,8 @@ def _resolve_user_with_retry() -> MCPUser | None:
                g.pop("user", None)
            raise

-    return user
-
-
-def _setup_user_context() -> MCPUser | None:
-    """
-    Set up user context for MCP tool execution.
-
-    Returns:
-        User object with roles and groups loaded, or None if no Flask context
-    """
-    # Clear stale g.user to prevent user impersonation across
-    # tool calls when no per-request middleware refreshes it.
-    # Only clear in app-context-only mode; preserve g.user when
-    # a request context is active (external middleware set it).
-
-    if not has_request_context():
-        g.pop("user", None)
-    # Clear any user_id left over from a previous call in this context
-    # (e.g. sequential calls sharing one asyncio task) so a failed/
-    # unauthenticated lookup below doesn't inherit a stale value.
-    _mcp_user_id_var.set(None)
-
-    user = _resolve_user_with_retry()
-    if user is None:
-        return None
-
    _assert_user_active(user)
    g.user = user
-    # GuestUser (embedded auth) has no numeric id; leave the ContextVar
-    # cleared (already reset above) rather than raise.
-    if (user_id := getattr(user, "id", None)) is not None:
-        _mcp_user_id_var.set(user_id)
    return user


@@ -38,7 +38,6 @@ from superset.mcp_service.chart.schemas import (
    BigNumberChartConfig,
    BoxPlotChartConfig,
    ChartCapabilities,
-    ChartConfig,
    ChartSemantics,
    ColumnRef,
    CurrencyFormat,
@@ -53,17 +52,12 @@ from superset.mcp_service.chart.schemas import (
    WaterfallChartConfig,
    XYChartConfig,
 )
-from superset.mcp_service.chart.validation.dataset_validator import (
-    is_dataset_column_temporal,
-)
 from superset.mcp_service.utils.url_utils import get_superset_base_url
 from superset.utils import json
 from superset.utils.core import FilterOperator

 logger = logging.getLogger(__name__)

-MCP_DASHBOARD_TIME_FILTER_SUBJECT = "_mcp_dashboard_time_filter_subject"
-

@dataclass
 class DatasetValidationResult:
@@ -97,6 +91,8 @@ def validate_chart_dataset(
    Returns:
        DatasetValidationResult with validation status and any warnings
    """
+    from sqlalchemy.exc import SQLAlchemyError
+
    from superset.daos.dataset import DatasetDAO
    from superset.mcp_service.auth import has_dataset_access

@@ -112,12 +108,9 @@ def validate_chart_dataset(
            error="Chart has no dataset reference (datasource_id is None)",
        )

-    # Skip the DatasourceFilter base filter when not checking access, so the
-    # lookup is a true existence check (it otherwise denies a guest outright).
+    # Try to look up the dataset
    try:
-        dataset = DatasetDAO.find_by_id(
-            datasource_id, skip_base_filter=not check_access
-        )
+        dataset = DatasetDAO.find_by_id(datasource_id)

        if dataset is None:
            return DatasetValidationResult(
@@ -193,6 +186,8 @@ def generate_explore_link(
    this skips the permalink path and returns an ``/explore/?form_data_key=...``
    URL directly.
    """
+    from sqlalchemy.exc import SQLAlchemyError
+
    from superset.commands.exceptions import CommandException
    from superset.commands.explore.form_data.parameters import CommandParameters
    from superset.commands.explore.permalink.create import CreateExplorePermalinkCommand
@@ -300,6 +295,51 @@ def _find_dataset_by_id_or_uuid(dataset_id: int | str | None) -> "SqlaTable | No
    return DatasetDAO.find_by_id_or_uuid(str(dataset_id))


+def _is_dataset_column_temporal(
+    col: Any, column_name: str, db_engine_spec: Any
+) -> bool:
+    """Decide temporality for a single dataset column, mirroring
+    TableColumn.is_temporal: native temporal SQL types are always
+    temporal, and is_dttm=True is otherwise trusted over the raw SQL
+    type -- this is the standard, supported way to mark a non-temporal
+    column (e.g. a VARCHAR "ds" partition column on Hive/Presto/Trino)
+    as a date.
+
+    The one case guarded against is a plain NUMERIC column (e.g. an
+    integer "year"/"month" column) that Superset's column-name
+    heuristics may have mis-flagged as is_dttm=True with no
+    python_date_format to parse it -- applying DATE_TRUNC/time_grain to
+    that would fail at query time.
+    """
+    from superset.utils.core import GenericDataType
+
+    is_dttm = bool(getattr(col, "is_dttm", False))
+    col_type = col.type
+    if not col_type:
+        return is_dttm  # No type info, trust is_dttm flag
+
+    column_spec = db_engine_spec.get_column_spec(col_type)
+    generic_type = column_spec.generic_type if column_spec else None
+
+    if generic_type == GenericDataType.TEMPORAL:
+        return True
+    if not is_dttm:
+        return False
+    if generic_type != GenericDataType.NUMERIC or getattr(
+        col, "python_date_format", None
+    ):
+        return True
+
+    logger.debug(
+        "Column '%s' is marked is_dttm=True but has numeric type '%s' with "
+        "no python_date_format; treating as non-temporal to avoid an "
+        "invalid DATE_TRUNC on a numeric column",
+        column_name,
+        col_type,
+    )
+    return False
+
+
 def is_column_truly_temporal(
    column_name: str,
    dataset_id: int | str | None,
@@ -307,7 +347,7 @@ def is_column_truly_temporal(
 ) -> bool:
    """
    Check if a column is truly temporal, mirroring TableColumn.is_temporal
-    using the shared dataset temporal predicate.
+    (see ``_is_dataset_column_temporal`` for the precedence rules).

    Args:
        column_name: Name of the column to check
@@ -333,7 +373,7 @@ def is_column_truly_temporal(
        for col in dataset.columns:
            if col.column_name.lower() == column_lower:
                db_engine_spec = dataset.database.db_engine_spec
-                return is_dataset_column_temporal(col, column_name, db_engine_spec)
+                return _is_dataset_column_temporal(col, column_name, db_engine_spec)

        return True  # Default if column not found

@@ -348,7 +388,13 @@ def is_column_truly_temporal(


 def map_config_to_form_data(
-    config: ChartConfig,
+    config: TableChartConfig
+    | XYChartConfig
+    | PieChartConfig
+    | PivotTableChartConfig
+    | MixedTimeseriesChartConfig
+    | HandlebarsChartConfig
+    | BigNumberChartConfig,
    dataset_id: int | str | None = None,
 ) -> Dict[str, Any]:
    """Map chart config to Superset form_data via the plugin registry.
@@ -388,7 +434,6 @@ def map_config_to_form_data(
            parts.append("Suggestions: " + "; ".join(error.suggestions))
        raise ValueError(" ".join(parts))

-    _bind_dashboard_time_range_filter(form_data, config, dataset_id)
    return form_data


@@ -757,98 +802,6 @@ def _ensure_temporal_adhoc_filter(form_data: Dict[str, Any], column: str) -> Non
    form_data["adhoc_filters"] = existing


-def _has_generated_temporal_filter(form_data: Dict[str, Any], column: str) -> bool:
-    """Return whether form data contains the neutral generated time binding."""
-    return any(
-        isinstance(filter_, dict)
-        and filter_.get("operator") == FilterOperator.TEMPORAL_RANGE.value
-        and filter_.get("subject") == column
-        and filter_.get("comparator") == NO_TIME_RANGE
-        for filter_ in form_data.get("adhoc_filters", [])
-    )
-
-
-def _ensure_generated_temporal_binding(form_data: Dict[str, Any], column: str) -> None:
-    """Add a neutral time filter and record its generated provenance."""
-    _ensure_temporal_adhoc_filter(form_data, column)
-    if _has_generated_temporal_filter(form_data, column):
-        form_data[MCP_DASHBOARD_TIME_FILTER_SUBJECT] = column
-
-
-def _bind_dashboard_time_range_filter(
-    form_data: Dict[str, Any],
-    config: ChartConfig,
-    dataset_id: int | str | None,
-) -> None:
-    """Bind charts without time configuration to a temporal filter subject."""
-    if temporal_column := getattr(config, "temporal_column", None):
-        if _is_temporal_for_dashboard_binding(temporal_column, dataset_id):
-            granularity = form_data.get("granularity_sqla")
-            if isinstance(granularity, str) and granularity != temporal_column:
-                # QueryContextFactory gives granularity precedence over a temporal
-                # filter, so a different granularity would bind both columns.
-                form_data["granularity_sqla"] = None
-            _ensure_temporal_adhoc_filter(form_data, temporal_column)
-            form_data[MCP_DASHBOARD_TIME_FILTER_SUBJECT] = temporal_column
-        return
-
-    dataset = None
-    if dataset_id:
-        try:
-            dataset = _find_dataset_by_id_or_uuid(dataset_id)
-        except (AttributeError, RuntimeError, ValueError, SQLAlchemyError) as ex:
-            logger.debug(
-                "Could not resolve dataset %s for dashboard time binding: %s",
-                dataset_id,
-                ex,
-            )
-            return
-
-    granularity = form_data.get("granularity_sqla")
-    if isinstance(granularity, str) and _is_temporal_for_dashboard_binding(
-        granularity, dataset_id, dataset
-    ):
-        # Temporal XY mappers create the neutral filter before this binding pass.
-        # Record its provenance so preview updates can replace it if the subject
-        # changes, without treating user-authored temporal ranges as generated.
-        if _has_generated_temporal_filter(form_data, granularity):
-            form_data[MCP_DASHBOARD_TIME_FILTER_SUBJECT] = granularity
-        return
-
-    x_axis = form_data.get("x_axis")
-    if isinstance(x_axis, str) and _is_temporal_for_dashboard_binding(
-        x_axis, dataset_id, dataset
-    ):
-        _ensure_temporal_adhoc_filter(form_data, x_axis)
-        form_data[MCP_DASHBOARD_TIME_FILTER_SUBJECT] = x_axis
-        return
-
-    main_dttm_col = getattr(dataset, "main_dttm_col", None)
-    if isinstance(main_dttm_col, str) and _is_temporal_for_dashboard_binding(
-        main_dttm_col, dataset_id, dataset
-    ):
-        _ensure_temporal_adhoc_filter(form_data, main_dttm_col)
-        form_data[MCP_DASHBOARD_TIME_FILTER_SUBJECT] = main_dttm_col
-
-
-def _is_temporal_for_dashboard_binding(
-    column: str,
-    dataset_id: int | str | None,
-    dataset: "SqlaTable | None" = None,
-) -> bool:
-    """Check temporal metadata without making chart mapping fail on lookup errors."""
-    try:
-        return is_column_truly_temporal(column, dataset_id, dataset=dataset)
-    except (AttributeError, RuntimeError, ValueError, SQLAlchemyError) as ex:
-        logger.debug(
-            "Could not validate temporal column %s for dataset %s: %s",
-            column,
-            dataset_id,
-            ex,
-        )
-        return False
-
-
 def _resolve_default_x_axis(
    config: XYChartConfig, dataset_id: int | str | None
 ) -> tuple[XYChartConfig, "SqlaTable | None"]:
@@ -955,10 +908,7 @@ def map_xy_config(  # noqa: C901

    _add_adhoc_filters(form_data, config.filters)

-    # A shared explicit temporal_column is the dashboard binding source of truth.
-    # Defer to _bind_dashboard_time_range_filter instead of also binding the
-    # temporal x-axis, which would apply the dashboard range to both columns.
-    if x_is_temporal and not config.temporal_column:
+    if x_is_temporal:
        _ensure_temporal_adhoc_filter(form_data, config.x.name)

    _add_xy_limits(form_data, config)
@@ -1154,7 +1104,7 @@ def map_big_number_config(
    # panel, which exposes an `adhoc_filters` control even though there's no
    # dedicated time-column control for the total variant.
    if temporal_column := _resolve_big_number_temporal_column(config, dataset_id):
-        _ensure_generated_temporal_binding(form_data, temporal_column)
+        _ensure_temporal_adhoc_filter(form_data, temporal_column)

    return form_data

@@ -248,8 +248,6 @@ def get_chart_configs_resource() -> str:
        ],
        "general": [
            "Always verify column names with get_dataset_info before charting",
-            "Set temporal_column when dashboard time filters should use a column "
-            "other than the dataset's main temporal column",
            "Use generate_explore_link for preview, generate_chart for saving",
            "Each column label must be unique across the entire configuration",
            "Column names must match: ^[a-zA-Z0-9_][a-zA-Z0-9_ \\-\\.]*$",
@@ -772,33 +772,6 @@ class UnknownFieldCheckMixin(BaseModel):
        return _check_unknown_fields(data, cls)


-class BaseChartConfig(UnknownFieldCheckMixin):
-    """Fields shared by every MCP chart configuration."""
-
-    temporal_column: str | None = Field(
-        None,
-        description=(
-            "Temporal column used to bind dashboard time-range filters. "
-            "When omitted, charts without a temporal axis use the dataset's "
-            "main temporal column."
-        ),
-        min_length=1,
-        max_length=255,
-    )
-
-    @field_validator("temporal_column")
-    @classmethod
-    def sanitize_temporal_column(cls, v: str | None) -> str | None:
-        """Sanitize temporal column names to prevent SQL injection."""
-        return sanitize_user_input(
-            v,
-            "Temporal column",
-            max_length=255,
-            check_sql_keywords=True,
-            allow_empty=True,
-        )
-
-
 class ColumnRef(UnknownFieldCheckMixin):
    model_config = ConfigDict(extra="ignore", populate_by_name=True)

@@ -1051,7 +1024,7 @@ class SortByConfig(UnknownFieldCheckMixin):


 # Actual chart types
-class PieChartConfig(BaseChartConfig):
+class PieChartConfig(UnknownFieldCheckMixin):
    model_config = ConfigDict(extra="ignore", populate_by_name=True)

    chart_type: Literal["pie"] = "pie"
@@ -1125,7 +1098,7 @@ class PieChartConfig(BaseChartConfig):
        return self


-class PivotTableChartConfig(BaseChartConfig):
+class PivotTableChartConfig(UnknownFieldCheckMixin):
    model_config = ConfigDict(extra="ignore", populate_by_name=True)

    chart_type: Literal["pivot_table"] = "pivot_table"
@@ -1189,7 +1162,7 @@ class PivotTableChartConfig(BaseChartConfig):
        return self


-class MixedTimeseriesChartConfig(BaseChartConfig):
+class MixedTimeseriesChartConfig(UnknownFieldCheckMixin):
    model_config = ConfigDict(extra="ignore", populate_by_name=True)

    chart_type: Literal["mixed_timeseries"] = "mixed_timeseries"
@@ -1282,7 +1255,7 @@ class MixedTimeseriesChartConfig(BaseChartConfig):
        return self


-class HandlebarsChartConfig(BaseChartConfig):
+class HandlebarsChartConfig(UnknownFieldCheckMixin):
    model_config = ConfigDict(extra="ignore")

    chart_type: Literal["handlebars"] = Field(
@@ -1398,7 +1371,7 @@ class HandlebarsChartConfig(BaseChartConfig):
        return self


-class BigNumberChartConfig(BaseChartConfig):
+class BigNumberChartConfig(UnknownFieldCheckMixin):
    model_config = ConfigDict(extra="ignore")

    chart_type: Literal["big_number"] = Field(
@@ -1418,6 +1391,17 @@ class BigNumberChartConfig(BaseChartConfig):
            "Must include an aggregate function (e.g., SUM, COUNT)."
        ),
    )
+    temporal_column: str | None = Field(
+        None,
+        description=(
+            "Temporal column for the trendline x-axis. Required when "
+            "show_trendline is True. Also used (whether or not a trendline is "
+            "shown) to bind the chart's dashboard time-range filter; when "
+            "omitted, the dataset's default temporal column is used instead."
+        ),
+        min_length=1,
+        max_length=255,
+    )
    time_grain: TimeGrain | None = Field(
        None,
        description=(
@@ -1511,6 +1495,18 @@ class BigNumberChartConfig(BaseChartConfig):
        description="Filters to apply",
    )

+    @field_validator("temporal_column")
+    @classmethod
+    def sanitize_temporal_column(cls, v: str | None) -> str | None:
+        """Sanitize temporal column name to prevent SQL injection."""
+        return sanitize_user_input(
+            v,
+            "Temporal column",
+            max_length=255,
+            check_sql_keywords=True,
+            allow_empty=True,
+        )
+
    @model_validator(mode="after")
    def validate_trendline_fields(self) -> Self:
        """Validate trendline requires temporal column."""
@@ -1580,7 +1576,7 @@ class TableColumnConfig(UnknownFieldCheckMixin):
    )


-class TableChartConfig(BaseChartConfig):
+class TableChartConfig(UnknownFieldCheckMixin):
    model_config = ConfigDict(extra="ignore", populate_by_name=True)

    chart_type: Literal["table"] = "table"
@@ -1711,7 +1707,7 @@ def _metric_display_label(col: ColumnRef) -> str:
    return col.label or col.name or ""


-class XYChartConfig(BaseChartConfig):
+class XYChartConfig(UnknownFieldCheckMixin):
    model_config = ConfigDict(extra="ignore", populate_by_name=True)

    chart_type: Literal["xy"] = "xy"
@@ -1882,7 +1878,7 @@ class XYChartConfig(BaseChartConfig):
        return self


-class HistogramChartConfig(BaseChartConfig):
+class HistogramChartConfig(UnknownFieldCheckMixin):
    """Config for histogram charts (viz_type ``histogram_v2``)."""

    model_config = ConfigDict(extra="ignore", populate_by_name=True)
@@ -1925,7 +1921,7 @@ class HistogramChartConfig(BaseChartConfig):
        return self


-class BoxPlotChartConfig(BaseChartConfig):
+class BoxPlotChartConfig(UnknownFieldCheckMixin):
    """Config for box plot charts (viz_type ``box_plot``)."""

    model_config = ConfigDict(extra="ignore", populate_by_name=True)
@@ -2040,7 +2036,7 @@ class BoxPlotChartConfig(BaseChartConfig):
        return self


-class WaterfallChartConfig(BaseChartConfig):
+class WaterfallChartConfig(UnknownFieldCheckMixin):
    """Config for waterfall charts (viz_type ``waterfall``)."""

    model_config = ConfigDict(extra="ignore", populate_by_name=True)
@@ -2578,16 +2574,6 @@ class DataColumn(BaseModel):
    )


-class ChartQueryResult(BaseModel):
-    """Data returned by one query in a chart's query context."""
-
-    query_index: int = Field(description="Zero-based query position")
-    columns: list[str] = Field(description="Column names returned by the query")
-    data: list[dict[str, Any]] = Field(description="Actual data rows")
-    row_count: int = Field(description="Rows returned")
-    total_rows: int | None = Field(None, description="Total available rows")
-
-
 class ChartData(BaseModel):
    """Rich chart data response with statistical insights."""

@@ -2599,13 +2585,6 @@ class ChartData(BaseModel):
    # Enhanced data description
    columns: List[DataColumn] = Field(description="Rich column metadata")
    data: List[Dict[str, Any]] = Field(description="Actual data rows")
-    query_results: list[ChartQueryResult] | None = Field(
-        None,
-        description=(
-            "All query results for multi-query charts. The top-level columns and data "
-            "fields remain aliases for the first query for backward compatibility."
-        ),
-    )

    # Data insights
    row_count: int = Field(description="Rows returned")
@@ -326,7 +326,7 @@ async def generate_chart(  # noqa: C901

        # Persist the chart only when explicitly requested (save_chart=False by default)
        if request.save_chart:
-            await ctx.report_progress(2, 5, "Validating chart query")
+            await ctx.report_progress(2, 5, "Creating chart in database")
            from superset.commands.chart.create import CreateChartCommand

            # Find the dataset to get its numeric ID
@@ -414,64 +414,6 @@ async def generate_chart(  # noqa: C901
            )
            await ctx.debug("Chart name: chart_name=%s" % (chart_name,))

-            # Compile before persisting. A failed query must not leave a broken
-            # chart row behind and then rely on a later transaction to delete it.
-            with event_logger.log_context(action="mcp.generate_chart.compile_check"):
-                compile_result = _compile_chart(form_data, dataset.id)
-            if not compile_result.success:
-                logger.warning(
-                    "Compile check failed before chart creation: %s",
-                    compile_result.error,
-                )
-                await ctx.warning(
-                    "Chart compile check failed: error=%s" % (compile_result.error,)
-                )
-                from superset.mcp_service.common.error_schemas import (
-                    ChartGenerationError,
-                )
-
-                execution_time = int((time.time() - start_time) * 1000)
-                error = compile_result.error_obj or ChartGenerationError(
-                    error_type="compile_error",
-                    message="Chart query failed to execute. The chart was not saved.",
-                    details=str(compile_result.error) or "",
-                    suggestions=[
-                        "Check that all columns exist in the dataset",
-                        "Verify aggregate functions are compatible with column types",
-                        "Ensure filters reference valid columns",
-                        "Try simplifying the chart configuration",
-                    ],
-                    error_code="CHART_COMPILE_FAILED",
-                )
-                return GenerateChartResponse.model_validate(
-                    {
-                        "chart": None,
-                        "error": error.model_dump(),
-                        "form_data": (
-                            _sanitize_generate_chart_form_data_for_llm_context(
-                                form_data
-                            )
-                        ),
-                        "performance": {
-                            "query_duration_ms": execution_time,
-                            "cache_status": "error",
-                            "optimization_suggestions": [],
-                        },
-                        "warnings": (
-                            sanitization_warnings
-                            + runtime_warnings
-                            + response_warnings
-                            + compile_result.warnings
-                        ),
-                        "success": False,
-                        "schema_version": "2.0",
-                        "api_version": "v1",
-                    }
-                )
-            response_warnings.extend(compile_result.warnings)
-
-            await ctx.report_progress(3, 5, "Creating chart in database")
-
            try:
                with event_logger.log_context(action="mcp.generate_chart.db_write"):
                    command = CreateChartCommand(
@@ -547,6 +489,66 @@ async def generate_chart(  # noqa: C901
                # Add any validation warnings (e.g., virtual dataset warnings)
                response_warnings.extend(dataset_check.warnings)

+                # Compile check: execute the chart query to catch runtime errors
+                await ctx.report_progress(3, 5, "Running compile check (test query)")
+                with event_logger.log_context(
+                    action="mcp.generate_chart.compile_check"
+                ):
+                    compile_result = _compile_chart(form_data, dataset.id)
+                if not compile_result.success:
+                    # Query failed — delete the broken chart and return an error
+                    logger.warning(
+                        "Compile check failed for chart %s: %s",
+                        chart_id,
+                        compile_result.error,
+                    )
+                    await ctx.warning(
+                        "Chart compile check failed: error=%s" % (compile_result.error,)
+                    )
+                    from superset.daos.chart import ChartDAO
+
+                    ChartDAO.delete([chart])
+                    from superset.mcp_service.common.error_schemas import (
+                        ChartGenerationError,
+                    )
+
+                    execution_time = int((time.time() - start_time) * 1000)
+                    error = compile_result.error_obj or ChartGenerationError(
+                        error_type="compile_error",
+                        message=(
+                            "Chart query failed to execute. The chart was not saved."
+                        ),
+                        details=str(compile_result.error) or "",
+                        suggestions=[
+                            "Check that all columns exist in the dataset",
+                            "Verify aggregate functions are compatible "
+                            "with column types",
+                            "Ensure filters reference valid columns",
+                            "Try simplifying the chart configuration",
+                        ],
+                        error_code="CHART_COMPILE_FAILED",
+                    )
+                    return GenerateChartResponse.model_validate(
+                        {
+                            "chart": None,
+                            "error": error.model_dump(),
+                            "form_data": (
+                                _sanitize_generate_chart_form_data_for_llm_context(
+                                    form_data
+                                )
+                            ),
+                            "performance": {
+                                "query_duration_ms": execution_time,
+                                "cache_status": "error",
+                                "optimization_suggestions": [],
+                            },
+                            "success": False,
+                            "schema_version": "2.0",
+                            "api_version": "v1",
+                        }
+                    )
+                response_warnings.extend(compile_result.warnings)
+
            except CommandException as e:
                logger.error("Chart creation failed: %s", e)
                await ctx.error("Chart creation failed: error=%s" % (str(e),))
@@ -32,7 +32,6 @@ from superset_core.mcp.decorators import tool, ToolAnnotations
 if TYPE_CHECKING:
    from superset.models.slice import Slice

-from superset.charts.data.form_data import set_query_context_form_data
 from superset.commands.exceptions import CommandException
 from superset.exceptions import OAuth2Error, OAuth2RedirectError, SupersetException
 from superset.extensions import event_logger
@@ -48,7 +47,6 @@ from superset.mcp_service.chart.chart_utils import validate_chart_dataset
 from superset.mcp_service.chart.schemas import (
    ChartData,
    ChartError,
-    ChartQueryResult,
    DataColumn,
    GetChartDataRequest,
    PerformanceMetadata,
@@ -114,14 +112,12 @@ _MAX_RECOMMENDATIONS = 4

 def _coerce_row_limit(value: Any, default: int) -> int:
    """Coerce a row_limit (which may arrive as a str from chart.params) to int,
-    falling back to ``default`` when it is missing, non-numeric, or non-positive.
-    A non-positive limit would otherwise flow through apply_max_row_limit as-is
-    and emit ``LIMIT -1`` (unbounded on some engines, an error on others)."""
+    falling back to ``default`` when it is missing or non-numeric — downstream
+    apply_max_row_limit compares it against an int."""
    try:
-        coerced = int(value)
+        return int(value)
    except (TypeError, ValueError):
        return default
-    return coerced if coerced > 0 else default


 def _recommend_visualizations(
@@ -268,12 +264,6 @@ def _sanitize_chart_data_for_llm_context(chart_data: ChartData) -> ChartData:
        field_path=("data",),
        excluded_field_names=frozenset(),
    )
-    for query_index, query_result in enumerate(payload.get("query_results") or []):
-        query_result["data"] = sanitize_for_llm_context(
-            query_result.get("data", []),
-            field_path=("query_results", str(query_index), "data"),
-            excluded_field_names=frozenset(),
-        )
    payload["columns"] = [
        {
            **column,
@@ -289,29 +279,6 @@ def _sanitize_chart_data_for_llm_context(chart_data: ChartData) -> ChartData:
    return ChartData.model_validate(payload)


-def _build_query_results(
-    query_results: list[dict[str, Any]], limit: int | None
-) -> list[ChartQueryResult] | None:
-    """Preserve every result when a chart executes more than one query."""
-    if len(query_results) <= 1:
-        return None
-
-    results = []
-    for index, query_result in enumerate(query_results):
-        data = query_result.get("data", [])
-        returned_data = data[:limit] if limit else data
-        results.append(
-            ChartQueryResult(
-                query_index=index,
-                columns=query_result.get("colnames", []),
-                data=returned_data,
-                row_count=len(returned_data),
-                total_rows=query_result.get("rowcount"),
-            )
-        )
-    return results
-
-
@tool(
    tags=["data"],
    class_permission_name="Chart",
@@ -368,13 +335,6 @@ async def get_chart_data(  # noqa: C901

        # Handle unsaved chart (form_data_key only, no identifier)
        if not request.identifier and request.form_data_key:
-            # The unsaved-chart cache is not dashboard-scoped, so guests can't
-            # use it.
-            if guest_scope.is_guest_read():
-                return ChartError(
-                    error="No accessible chart found for this request.",
-                    error_type="NotFound",
-                )
            with event_logger.log_context(
                action="mcp.get_chart_data.unsaved_chart_from_cache"
            ):
@@ -473,30 +433,30 @@ async def get_chart_data(  # noqa: C901
        )
        logger.info("Getting data for chart %s: %s", chart.id, chart.slice_name)

-        # Guests skip the RBAC check (authorize_query covers it) but keep the
-        # existence check, so a deleted dataset still returns
-        # DatasetNotAccessible.
-        validation_result = validate_chart_dataset(
-            chart.datasource_id, check_access=not guest_scope.is_guest_read()
-        )
-        if not validation_result.is_valid:
-            await ctx.warning(
-                "Chart found but dataset is not accessible: %s"
-                % (validation_result.error,)
+        # Skip the dataset RBAC pre-check for guests (see guest_scope.is_guest_read).
+        if not guest_scope.is_guest_read():
+            validation_result = validate_chart_dataset(
+                chart.datasource_id, check_access=True
            )
-            logger.warning(
-                "get_chart_data: dataset not accessible for chart_id=%s: %s",
-                chart.id,
-                validation_result.error,
-            )
-            return ChartError(
-                error=validation_result.error
-                or "Chart's dataset is not accessible. Dataset may have been deleted.",
-                error_type="DatasetNotAccessible",
-            )
-        # Log any warnings (e.g., virtual dataset warnings)
-        for warning in validation_result.warnings:
-            await ctx.warning("Dataset warning: %s" % (warning,))
+            if not validation_result.is_valid:
+                await ctx.warning(
+                    "Chart found but dataset is not accessible: %s"
+                    % (validation_result.error,)
+                )
+                logger.warning(
+                    "get_chart_data: dataset not accessible for chart_id=%s: %s",
+                    chart.id,
+                    validation_result.error,
+                )
+                return ChartError(
+                    error=validation_result.error
+                    or "Chart's dataset is not accessible. "
+                    "Dataset may have been deleted.",
+                    error_type="DatasetNotAccessible",
+                )
+            # Log any warnings (e.g., virtual dataset warnings)
+            for warning in validation_result.warnings:
+                await ctx.warning("Dataset warning: %s" % (warning,))

        start_time = time.time()

@@ -509,10 +469,8 @@ async def get_chart_data(  # noqa: C901
            from superset.charts.schemas import ChartDataQueryContextSchema
            from superset.commands.chart.data.get_data_command import ChartDataCommand

-            # Guests always read the saved chart config: the cache isn't
-            # dashboard-scoped and its payload could point the query at another
-            # datasource.
-            if request.form_data_key and not guest_scope.is_guest_read():
+            # Check if form_data_key is provided - use cached form_data instead
+            if request.form_data_key:
                with event_logger.log_context(
                    action="mcp.get_chart_data.unsaved_state_override"
                ):
@@ -555,13 +513,11 @@ async def get_chart_data(  # noqa: C901

            # If using cached form_data, we need to build query_context from it
            if using_unsaved_state and cached_form_data_dict is not None:
-                # row_limit may arrive as a str. The trailing fallback keeps a
-                # falsy 0 resolving to ROW_LIMIT.
-                row_limit = _coerce_row_limit(
+                # Build query context from cached form_data (unsaved state)
+                row_limit = (
                    request.limit
                    or cached_form_data_dict.get("row_limit")
-                    or current_app.config["ROW_LIMIT"],
-                    current_app.config["ROW_LIMIT"],
+                    or current_app.config["ROW_LIMIT"]
                )

                query_context = build_query_context_from_form_data(
@@ -672,8 +628,8 @@ async def get_chart_data(  # noqa: C901
                # Apply request overrides to the saved query_context
                query_context_json["force"] = request.force_refresh

-                # Ignore a non-positive limit so it can't emit LIMIT -1 downstream.
-                if request.limit and request.limit > 0:
+                # Apply row limit if specified (respects chart's configured limits)
+                if request.limit:
                    for query in query_context_json.get("queries", []):
                        query["row_limit"] = request.limit

@@ -707,12 +663,6 @@ async def get_chart_data(  # noqa: C901
            if guest_dashboard_id is not None:
                guest_scope.authorize_query(query_context, guest_dashboard_id, chart)

-            set_query_context_form_data(
-                query_context,
-                chart.datasource_id,
-                chart.datasource_type,
-            )
-
            # Execute the query
            with event_logger.log_context(action="mcp.get_chart_data.query_execution"):
                command = ChartDataCommand(query_context)
@@ -753,7 +703,7 @@ async def get_chart_data(  # noqa: C901
            )

            # Check if we have data to work with
-            if not any(query.get("data") for query in result["queries"]):
+            if not data:
                await ctx.warning("No data in query results: chart_id=%s" % (chart.id,))
                logger.warning(
                    "get_chart_data: no data in query results for chart_id=%s",
@@ -933,9 +883,6 @@ async def get_chart_data(  # noqa: C901
                    chart_type=chart.viz_type or "unknown",
                    columns=columns,
                    data=data[: request.limit] if request.limit else data,
-                    query_results=_build_query_results(
-                        result["queries"], request.limit
-                    ),
                    row_count=len(data),
                    total_rows=query_result.get("rowcount"),
                    summary=summary,
@@ -1047,11 +994,8 @@ async def _query_from_form_data(
            error_type="InvalidFormData",
        )

-    # row_limit may arrive as a str. The trailing fallback keeps a falsy 0
-    # resolving to ROW_LIMIT.
-    row_limit = _coerce_row_limit(
-        request.limit or form_data.get("row_limit") or current_app.config["ROW_LIMIT"],
-        current_app.config["ROW_LIMIT"],
+    row_limit = (
+        request.limit or form_data.get("row_limit") or current_app.config["ROW_LIMIT"]
    )
    viz_type = form_data.get("viz_type", "unknown")

@@ -1085,7 +1029,7 @@ async def _query_from_form_data(
        data = query_result.get("data", [])
        raw_columns = query_result.get("colnames", [])

-        if not any(query.get("data") for query in result["queries"]):
+        if not data:
            logger.warning(
                "get_chart_data: no data for unsaved chart (form_data_key=%s)",
                request.form_data_key,
@@ -1134,7 +1078,6 @@ async def _query_from_form_data(
                chart_type=viz_type,
                columns=columns,
                data=data[: request.limit] if request.limit else data,
-                query_results=_build_query_results(result["queries"], request.limit),
                row_count=len(data),
                total_rows=query_result.get("rowcount"),
                summary=summary,
@@ -29,7 +29,6 @@ from superset_core.mcp.decorators import tool, ToolAnnotations
 from superset.commands.exceptions import CommandException
 from superset.exceptions import OAuth2Error, OAuth2RedirectError, SupersetException
 from superset.extensions import db, event_logger
-from superset.mcp_service import guest_scope
 from superset.mcp_service.chart.ascii_charts import (
    generate_ascii_chart,
    generate_ascii_table,
@@ -277,6 +276,8 @@ class PreviewFormatStrategy:
    def _authorize_guest_query(self, query_context: Any) -> None:
        """For a guest, attach the dashboard context so raise_for_access
        authorizes the preview query."""
+        from superset.mcp_service import guest_scope
+
        if (dashboard_id := guest_scope.guest_dashboard_id(self.chart)) is not None:
            guest_scope.authorize_query(query_context, dashboard_id, self.chart)

@@ -1292,11 +1293,13 @@ async def _get_chart_preview_internal(  # noqa: C901
        logger.info("Generating preview for chart %s", getattr(chart, "id", "NO_ID"))
        logger.info("Chart datasource_id: %s", getattr(chart, "datasource_id", "NONE"))

-        # Transient charts have a falsy id of 0, so skip the pre-check for them.
-        # Guests keep the existence check but skip RBAC (dashboard-authorized).
-        if getattr(chart, "id", None):
+        # Skip the dataset pre-check for transient charts (no ID) and for guests
+        # (authorized via the dashboard context, not dataset RBAC).
+        from superset.mcp_service import guest_scope
+
+        if getattr(chart, "id", None) is not None and not guest_scope.is_guest_read():
            validation_result = validate_chart_dataset(
-                chart.datasource_id, check_access=not guest_scope.is_guest_read()
+                chart.datasource_id, check_access=True
            )
            if not validation_result.is_valid:
                await ctx.warning(
@@ -102,8 +102,7 @@ async def list_charts(

    Sortable columns for ``order_column``:
        ``id``, ``slice_name``, ``viz_type``, ``description``,
-        ``changed_on``, ``changed_on_delta_humanized`` (alias for ``changed_on``),
-        ``created_on``
+        ``changed_on``, ``created_on``

    To filter by a person, call find_users to resolve the name to a user ID,
    then pass it as a filter: filters=[{"col": "created_by_fk", "opr": "eq",
@@ -38,9 +38,7 @@ from superset.mcp_service.chart.chart_utils import (
    generate_chart_name,
    generate_explore_link,
    map_config_to_form_data,
-    MCP_DASHBOARD_TIME_FILTER_SUBJECT,
    merge_table_column_config,
-    NO_TIME_RANGE,
 )
 from superset.mcp_service.chart.compile import validate_and_compile
 from superset.mcp_service.chart.preview_utils import (
@@ -105,50 +103,6 @@ def _get_previous_form_data(form_data_key: str) -> dict[str, Any] | None:
    return None


-def _preserve_previous_adhoc_filters(
-    new_form_data: dict[str, Any], previous_form_data: dict[str, Any]
-) -> None:
-    """Preserve cached filters without dropping mapper-generated bindings."""
-    previous_filters = previous_form_data.get("adhoc_filters")
-    if not isinstance(previous_filters, list) or not previous_filters:
-        return
-
-    generated_filters = new_form_data.get("adhoc_filters", [])
-    previous_binding = previous_form_data.get(MCP_DASHBOARD_TIME_FILTER_SUBJECT)
-    new_binding = new_form_data.get(MCP_DASHBOARD_TIME_FILTER_SUBJECT)
-    merged_filters = [
-        filter_
-        for filter_ in previous_filters
-        if not (
-            previous_binding
-            and previous_binding != new_binding
-            and isinstance(filter_, dict)
-            and filter_.get("operator") == "TEMPORAL_RANGE"
-            and filter_.get("subject") == previous_binding
-            and filter_.get("comparator") == NO_TIME_RANGE
-        )
-    ]
-    for generated_filter in generated_filters:
-        if not isinstance(generated_filter, dict):
-            if generated_filter not in merged_filters:
-                merged_filters.append(generated_filter)
-            continue
-
-        is_same_filter = any(
-            isinstance(previous_filter, dict)
-            and previous_filter.get("clause") == generated_filter.get("clause")
-            and previous_filter.get("expressionType")
-            == generated_filter.get("expressionType")
-            and previous_filter.get("subject") == generated_filter.get("subject")
-            and previous_filter.get("operator") == generated_filter.get("operator")
-            for previous_filter in merged_filters
-        )
-        if not is_same_filter:
-            merged_filters.append(generated_filter)
-
-    new_form_data["adhoc_filters"] = merged_filters
-
-
@tool(
    tags=["mutate"],
    class_permission_name="Chart",
@@ -230,10 +184,9 @@ def update_chart_preview(  # noqa: C901
            # Preserve adhoc filters from the previous cached form_data
            # when the new config doesn't explicitly specify filters
            if getattr(config, "filters", None) is None and previous_form_data:
-                _preserve_previous_adhoc_filters(
-                    new_form_data,
-                    previous_form_data,
-                )
+                old_adhoc_filters = previous_form_data.get("adhoc_filters")
+                if old_adhoc_filters:
+                    new_form_data["adhoc_filters"] = old_adhoc_filters
            if previous_form_data:
                merge_table_column_config(previous_form_data, new_form_data)

@@ -39,37 +39,6 @@ _C = TypeVar("_C", bound=ChartConfig)
 logger = logging.getLogger(__name__)


-def is_dataset_column_temporal(
-    column: Any, column_name: str, db_engine_spec: Any
-) -> bool:
-    """Return whether a dataset column is safe for temporal operations."""
-    from superset.utils.core import GenericDataType
-
-    is_dttm = bool(getattr(column, "is_dttm", False))
-    column_type = column.type
-    if not column_type:
-        return is_dttm
-
-    column_spec = db_engine_spec.get_column_spec(column_type)
-    generic_type = column_spec.generic_type if column_spec else None
-    if generic_type == GenericDataType.TEMPORAL:
-        return True
-    if not is_dttm:
-        return False
-    if generic_type != GenericDataType.NUMERIC or getattr(
-        column, "python_date_format", None
-    ):
-        return True
-
-    logger.debug(
-        "Column '%s' is marked is_dttm=True but has numeric type '%s' with "
-        "no python_date_format; treating it as non-temporal",
-        column_name,
-        column_type,
-    )
-    return False
-
-
 def build_dataset_context_from_orm(dataset: Any) -> DatasetContext | None:
    """Construct a :class:`DatasetContext` from an already-fetched ORM dataset.

@@ -79,19 +48,13 @@ def build_dataset_context_from_orm(dataset: Any) -> DatasetContext | None:
    if dataset is None:
        return None

-    database = getattr(dataset, "database", None)
-    db_engine_spec = getattr(database, "db_engine_spec", None)
    columns: List[Dict[str, Any]] = []
    for col in getattr(dataset, "columns", []) or []:
        columns.append(
            {
                "name": col.column_name,
                "type": str(col.type) if col.type else "UNKNOWN",
-                "is_temporal": (
-                    is_dataset_column_temporal(col, col.column_name, db_engine_spec)
-                    if db_engine_spec
-                    else getattr(col, "is_temporal", False)
-                ),
+                "is_temporal": getattr(col, "is_temporal", False),
                "is_numeric": getattr(col, "is_numeric", False),
            }
        )
@@ -106,6 +69,7 @@ def build_dataset_context_from_orm(dataset: Any) -> DatasetContext | None:
            }
        )

+    database = getattr(dataset, "database", None)
    database_name = getattr(database, "database_name", None) or ""
    return DatasetContext(
        id=dataset.id,
@@ -159,12 +123,6 @@ class DatasetValidator:

            return False, ChartErrorBuilder.dataset_not_found_error(dataset_id)

-        temporal_error = DatasetValidator._validate_temporal_column(
-            config, dataset_context
-        )
-        if temporal_error:
-            return False, temporal_error
-
        # Collect all column references
        column_refs = DatasetValidator._extract_column_references(config)

@@ -195,51 +153,6 @@ class DatasetValidator:

        return True, None

-    @staticmethod
-    def _validate_temporal_column(
-        config: ChartConfig, dataset_context: DatasetContext
-    ) -> ChartGenerationError | None:
-        """Require an explicitly selected dashboard time column to be temporal."""
-        temporal_column = getattr(config, "temporal_column", None)
-        if not temporal_column:
-            return None
-
-        matching_column = next(
-            (
-                column
-                for column in dataset_context.available_columns
-                if column["name"].lower() == temporal_column.lower()
-            ),
-            None,
-        )
-        if matching_column is None:
-            return ChartGenerationError(
-                error_type="missing_temporal_column",
-                message=f"Temporal column '{temporal_column}' does not exist",
-                details="The temporal_column must reference a physical dataset column.",
-                suggestions=[
-                    "Choose a temporal column from the dataset",
-                    "Remove temporal_column to use the dataset's default time column",
-                ],
-                error_code="MISSING_TEMPORAL_COLUMN",
-            )
-        if matching_column.get("is_temporal", False):
-            return None
-
-        return ChartGenerationError(
-            error_type="invalid_temporal_column",
-            message=f"Column '{temporal_column}' is not temporal",
-            details=(
-                "The temporal_column must reference a dataset column marked as "
-                "temporal so dashboard time-range filters can bind to the chart."
-            ),
-            suggestions=[
-                "Choose a temporal column from the dataset",
-                "Remove temporal_column to use the dataset's default time column",
-            ],
-            error_code="NON_TEMPORAL_COLUMN",
-        )
-
    @staticmethod
    def _validate_columns_exist(  # noqa: C901
        column_refs: List[ColumnRef], dataset_context: DatasetContext
@@ -377,16 +290,7 @@ class DatasetValidator:
            logger.warning("No plugin registered for chart_type=%r", chart_type)
            return []

-        refs = plugin.extract_column_refs(config)
-        temporal_column = getattr(config, "temporal_column", None)
-        if temporal_column and not any(
-            not ref.saved_metric
-            and ref.name
-            and ref.name.lower() == temporal_column.lower()
-            for ref in refs
-        ):
-            refs.append(ColumnRef(name=temporal_column))
-        return refs
+        return plugin.extract_column_refs(config)

    @staticmethod
    def _column_exists(column_name: str, dataset_context: DatasetContext) -> bool:
@@ -520,16 +424,7 @@ class DatasetValidator:
            )
            return config

-        normalized_config = plugin.normalize_column_refs(config, dataset_context)
-        if temporal_column := getattr(normalized_config, "temporal_column", None):
-            canonical_temporal_column = DatasetValidator.get_canonical_column_name(
-                temporal_column, dataset_context
-            )
-            if canonical_temporal_column != temporal_column:
-                normalized_config = normalized_config.model_copy(
-                    update={"temporal_column": canonical_temporal_column}
-                )
-        return normalized_config
+        return plugin.normalize_column_refs(config, dataset_context)

    @staticmethod
    def _get_column_suggestions(
@@ -257,7 +257,6 @@ CHART_SORTABLE_COLUMNS = [
    "viz_type",
    "description",
    "changed_on",
-    "changed_on_delta_humanized",
    "created_on",
 ]
 CHART_SEARCH_COLUMNS = ["slice_name", "description"]
@@ -355,7 +354,6 @@ DATASET_SORTABLE_COLUMNS = [
    "table_name",
    "schema",
    "changed_on",
-    "changed_on_delta_humanized",
    "created_on",
 ]
 DATASET_SEARCH_COLUMNS = ["table_name", "description"]
@@ -452,7 +450,6 @@ DASHBOARD_SORTABLE_COLUMNS = [
    "slug",
    "published",
    "changed_on",
-    "changed_on_delta_humanized",
    "created_on",
 ]
 DASHBOARD_SEARCH_COLUMNS = ["dashboard_title", "slug"]
@@ -56,6 +56,15 @@ DEFAULT_DASHBOARD_COLUMNS = [
    "changed_on_humanized",
 ]

+SORTABLE_DASHBOARD_COLUMNS = [
+    "id",
+    "dashboard_title",
+    "slug",
+    "published",
+    "changed_on",
+    "created_on",
+]
+
 _DEFAULT_LIST_DASHBOARDS_REQUEST = ListDashboardsRequest()


@@ -94,8 +103,7 @@ async def list_dashboards(

    Sortable columns for ``order_column``:
        ``id``, ``dashboard_title``, ``slug``, ``published``,
-        ``changed_on``, ``changed_on_delta_humanized`` (alias for ``changed_on``),
-        ``created_on``
+        ``changed_on``, ``created_on``

    To filter by a person (e.g. "dashboards Maxime is working on"), do NOT pass
    the name as the search parameter — search matches titles and slugs only.
@@ -66,6 +66,14 @@ DEFAULT_DATASET_COLUMNS = [
    "changed_on_humanized",
 ]

+SORTABLE_DATASET_COLUMNS = [
+    "id",
+    "table_name",
+    "schema",
+    "changed_on",
+    "created_on",
+]
+
 _DEFAULT_LIST_DATASETS_REQUEST = ListDatasetsRequest()


@@ -107,8 +115,7 @@ async def list_datasets(
        ``created_by_fk``, ``changed_by_fk``

    Sortable columns for ``order_column``:
-        ``id``, ``table_name``, ``schema``, ``changed_on``,
-        ``changed_on_delta_humanized`` (alias for ``changed_on``), ``created_on``
+        ``id``, ``table_name``, ``schema``, ``changed_on``, ``created_on``

    To filter by a person, call find_users to resolve the name to a user ID,
    then pass it as a filter: filters=[{"col": "created_by_fk", "opr": "eq",
@@ -31,7 +31,6 @@ from sqlalchemy.exc import SQLAlchemyError
 from sqlalchemy.orm import joinedload, subqueryload
 from superset_core.mcp.decorators import tool, ToolAnnotations

-from superset.charts.data.form_data import set_query_context_form_data
 from superset.commands.exceptions import CommandException
 from superset.exceptions import OAuth2Error, OAuth2RedirectError, SupersetException
 from superset.extensions import event_logger
@@ -311,8 +310,6 @@ async def query_dataset(  # noqa: C901
                custom_cache_timeout=request.cache_timeout,
            )

-            set_query_context_form_data(query_context, dataset.id, "table")
-
            command = ChartDataCommand(query_context)
            command.validate()
            result = command.run()
@@ -790,7 +790,6 @@ def get_mcp_config(app_config: dict[str, Any] | None = None) -> dict[str, Any]:
        "MCP_CHART_PLUGIN_ENABLED_FUNC": MCP_CHART_PLUGIN_ENABLED_FUNC,
        "MCP_EMBEDDED_GUEST_AUTH_ENABLED": MCP_EMBEDDED_GUEST_AUTH_ENABLED,
        "MCP_GUEST_ALLOWED_TOOLS": set(MCP_GUEST_ALLOWED_TOOLS),
-        "MCP_RESTRICTED_TOOL_POLICY": MCP_RESTRICTED_TOOL_POLICY,
        **MCP_SESSION_CONFIG,
        **MCP_CSRF_CONFIG,
    }
@@ -70,20 +70,6 @@ F = TypeVar("F", bound=BaseModel)  # For filter types
 L = TypeVar("L", bound=BaseModel)  # For list response schemas


-# Humanized/computed columns accepted as order_column aliases, mapped to the
-# real sortable column that backs them. Superset's own REST APIs (see the
-# `@renders("changed_on")` binding on `changed_on_delta_humanized` in
-# models/helpers.py, and each ModelRestApi's `order_columns`) already sort
-# by the underlying timestamp when asked to order by the humanized string,
-# since the humanized value is derived from it and isn't itself a queryable
-# column. Mirrored here so DAO.list() (which does a plain
-# `getattr(model, order_column)`) receives an actual column, not a Python
-# property/method.
-_ORDER_COLUMN_ALIASES: dict[str, str] = {
-    "changed_on_delta_humanized": "changed_on",
-}
-
-
 class BaseCore(ABC):
    """
    Abstract base class for all MCP Core classes.
@@ -402,14 +388,6 @@ class ModelListCore(BaseCore, Generic[L]):
                columns_to_load.append(dependency)

        self._validate_order_column(order_column)
-        # Resolve humanized/computed aliases (e.g. changed_on_delta_humanized)
-        # to the real column they're derived from. Must happen after
-        # validation (which checks against the advertised sortable_columns,
-        # including the alias) and before the DAO call, since DAO.list()
-        # sorts via `getattr(model, order_column)` and would receive a
-        # Python property/method instead of a SQL column otherwise.
-        if order_column is not None and order_column in self._sortable_columns:
-            order_column = _ORDER_COLUMN_ALIASES.get(order_column, order_column)

        deleted_state_bound = self._build_deleted_state_filter(deleted_state)
        if deleted_state_bound is not None:
@@ -41,7 +41,6 @@ from superset.exceptions import SupersetException, SupersetSecurityException
 from superset.extensions import event_logger, stats_logger_manager
 from superset.mcp_service.auth import (
    _get_app_context_manager,
-    _mcp_user_id_var,
    get_user_from_request,
    is_tool_visible_to_current_user,
    MCPNoAuthSourceError,
@@ -626,24 +625,6 @@ class LoggingMiddleware(Middleware):
            success = False
            raise
        finally:
-            # user_id was captured before call_next() ran the tool, i.e.
-            # before the @tool auth decorator (superset/mcp_service/auth.py)
-            # resolves the user. It sets g.user on a per-call app context
-            # that _get_app_context_manager() pushes and pops around the
-            # tool's execution (see its docstring), so g.user/get_user_id()
-            # are back to their pre-call state by the time we get here —
-            # re-reading get_user_id() would still yield the stale value.
-            # _mcp_user_id_var is a plain ContextVar (not tied to that Flask
-            # app-context lifecycle) that _setup_user_context() sets before
-            # the context pops, so it survives to this point.
-            resolved_user_id = _mcp_user_id_var.get(None)
-            if resolved_user_id is not None:
-                user_id = resolved_user_id
-            # Reset so a later on_call_tool/on_message in the same asyncio
-            # task (e.g. an unprotected tool or resource/prompt read that
-            # never calls _setup_user_context()) doesn't inherit this call's
-            # resolved user id.
-            _mcp_user_id_var.set(None)
            duration_ms = int((time.time() - start_time) * 1000)
            self._log_call_tool_result(
                context=context,
@@ -685,44 +666,34 @@ class LoggingMiddleware(Middleware):
            self._extract_context_info(context)
        )
        try:
-            return await call_next(context)
-        finally:
-            # See the matching comment in on_call_tool: g.user/get_user_id()
-            # are stale here because the per-call app context has already
-            # been popped. _mcp_user_id_var survives it.
-            resolved_user_id = _mcp_user_id_var.get(None)
-            if resolved_user_id is not None:
-                user_id = resolved_user_id
-            # See the matching reset in on_call_tool.
-            _mcp_user_id_var.set(None)
-            try:
-                with _get_app_context_manager():
-                    event_logger.log(
-                        user_id=user_id,
-                        action="mcp_message",
-                        dashboard_id=dashboard_id,
-                        duration_ms=None,
-                        slice_id=slice_id,
-                        referrer=None,
-                        curated_payload={
-                            "tool": getattr(context.message, "name", None),
-                            "agent_id": agent_id,
-                            "params": _sanitize_params(params),
-                            "method": context.method,
-                            "dashboard_id": dashboard_id,
-                            "slice_id": slice_id,
-                            "dataset_id": dataset_id,
-                        },
-                    )
-            except Exception as log_error:  # noqa: BLE001
-                logger.warning("Failed to log mcp_message event: %s", log_error)
-            logger.info(
-                "MCP message: tool=%s, agent_id=%s, user_id=%s, method=%s",
-                getattr(context.message, "name", None),
-                agent_id,
-                user_id,
-                context.method,
-            )
+            with _get_app_context_manager():
+                event_logger.log(
+                    user_id=user_id,
+                    action="mcp_message",
+                    dashboard_id=dashboard_id,
+                    duration_ms=None,
+                    slice_id=slice_id,
+                    referrer=None,
+                    curated_payload={
+                        "tool": getattr(context.message, "name", None),
+                        "agent_id": agent_id,
+                        "params": _sanitize_params(params),
+                        "method": context.method,
+                        "dashboard_id": dashboard_id,
+                        "slice_id": slice_id,
+                        "dataset_id": dataset_id,
+                    },
+                )
+        except Exception as log_error:  # noqa: BLE001
+            logger.warning("Failed to log mcp_message event: %s", log_error)
+        logger.info(
+            "MCP message: tool=%s, agent_id=%s, user_id=%s, method=%s",
+            getattr(context.message, "name", None),
+            agent_id,
+            user_id,
+            context.method,
+        )
+        return await call_next(context)


 class StructuredContentStripperMiddleware(Middleware):
@@ -802,64 +802,6 @@ def _truncate_rows_field(
    return None


-def _truncate_chart_query_results(
-    data: Dict[str, Any], token_limit: int, advice: str
-) -> list[str] | None:
-    """Apply one response-wide row cap to every result of a multi-query chart."""
-    from superset.utils import json as utils_json
-
-    query_results = data.get("query_results")
-    if not isinstance(query_results, list) or not query_results:
-        return None
-
-    row_lists = [data.get("data", [])]
-    row_lists.extend(
-        result.get("data", [])
-        for result in query_results
-        if isinstance(result, dict) and isinstance(result.get("data"), list)
-    )
-    originals = [list(rows) for rows in row_lists]
-    if not any(originals):
-        return None
-
-    original_count = sum(len(rows) for rows in originals[1:])
-    data["_response_truncated"] = True
-    data["_truncation_notes"] = [
-        f"Result truncated: {original_count} of {original_count} rows returned "
-        f"across multiple queries "
-        f"(limit ~{token_limit:,} tokens). {advice}"
-    ]
-
-    lo, hi = 0, max(len(rows) for rows in originals)
-    while lo < hi:
-        cap = (lo + hi + 1) // 2
-        for rows, original in zip(row_lists, originals, strict=False):
-            rows[:] = original[:cap]
-        if estimate_token_count(utils_json.dumps(data)) <= token_limit:
-            lo = cap
-        else:
-            hi = cap - 1
-
-    cap = max(lo, 1)
-    for rows, original in zip(row_lists, originals, strict=False):
-        rows[:] = original[:cap]
-    kept_count = sum(len(rows) for rows in row_lists[1:])
-    if kept_count >= original_count:
-        del data["_response_truncated"]
-        del data["_truncation_notes"]
-        return None
-
-    data["row_count"] = len(row_lists[0])
-    for result in query_results:
-        if isinstance(result, dict) and isinstance(result.get("data"), list):
-            result["row_count"] = len(result["data"])
-    data["_truncation_notes"] = [
-        f"Result truncated: {kept_count} of {original_count} rows returned "
-        f"across multiple queries (limit ~{token_limit:,} tokens). {advice}"
-    ]
-    return data["_truncation_notes"]
-
-
 def _truncate_csv_data_field(
    data: Dict[str, Any],
    token_limit: int,
@@ -958,9 +900,7 @@ def truncate_query_result(
    if estimate_token_count(utils_json.dumps(data)) <= token_limit:
        return data, False, []

-    notes = _truncate_chart_query_results(data, token_limit, advice)
-    if notes is None:
-        notes = _truncate_rows_field(data, row_field, token_limit, advice)
+    notes = _truncate_rows_field(data, row_field, token_limit, advice)
    if notes is None:
        notes = _truncate_csv_data_field(data, token_limit, advice)

@@ -1,97 +0,0 @@
-# Licensed to the Apache Software Foundation (ASF) under one
-# or more contributor license agreements.  See the NOTICE file
-# distributed with this work for additional information
-# regarding copyright ownership.  The ASF licenses this file
-# to you under the Apache License, Version 2.0 (the
-# "License"); you may not use this file except in compliance
-# with the License.  You may obtain a copy of the License at
-#
-#   http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing,
-# software distributed under the License is distributed on an
-# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
-# KIND, either express or implied.  See the License for the
-# specific language governing permissions and limitations
-# under the License.
-"""Enforce one OAuth2 token per (user_id, database_id).
-
-`OAuth2StoreTokenCommand` always deletes any existing token for a
-user+database pair before storing a new one, so the table is only ever
-meant to carry a single live row per pair -- but that invariant was only
-enforced in application code, via a plain (non-unique) lookup index. A
-race between two concurrent OAuth2 callbacks for the same user+database
-can leave duplicate rows behind, and nothing downstream picks a
-deterministic one of them. Flagged as a follow-up during review of #42211
-(which fixed an unrelated `purge_oauth2_tokens` filter bug on this same
-table).
-
-Pre-flight: deletes any pre-existing duplicate rows, keeping the
-highest-id row per (user_id, database_id) pair, since
-`OAuth2StoreTokenCommand` always deletes-then-inserts and a higher id is
-therefore the more recently issued token.
-
-Revision ID: da0e3f0081bf
-Revises: b8d2f4a6c901
-Create Date: 2026-08-07 09:00:00.000000
-
-"""
-
-import sqlalchemy as sa
-from alembic import op
-
-from superset.migrations.shared.utils import create_index, drop_index
-
-# revision identifiers, used by Alembic.
-revision: str = "da0e3f0081bf"
-down_revision: str = "b8d2f4a6c901"
-
-TABLE_NAME = "database_user_oauth2_tokens"
-INDEX_NAME = "idx_user_id_database_id"
-# Temporary name for the unique index while it and the old non-unique index
-# briefly coexist -- see the comment in ``upgrade`` below.
-TMP_INDEX_NAME = "idx_user_id_database_id_tmp_unique"
-
-
-def upgrade() -> None:
-    bind = op.get_bind()
-    metadata = sa.MetaData()
-    table = sa.Table(TABLE_NAME, metadata, autoload_with=bind)
-
-    # Find the highest id per (user_id, database_id) pair by reading into
-    # Python first, rather than deleting via a subquery on the same table:
-    # MySQL rejects a DELETE whose WHERE clause subqueries the target table
-    # (error 1093).
-    rows = bind.execute(
-        sa.select(table.c.id, table.c.user_id, table.c.database_id)
-    ).fetchall()
-    max_id_by_pair: dict[tuple[int, int], int] = {}
-    for row in rows:
-        pair = (row.user_id, row.database_id)
-        if row.id > max_id_by_pair.get(pair, -1):
-            max_id_by_pair[pair] = row.id
-    keep_ids = set(max_id_by_pair.values())
-    dupe_ids = [row.id for row in rows if row.id not in keep_ids]
-    if dupe_ids:
-        bind.execute(table.delete().where(table.c.id.in_(dupe_ids)))
-
-    # MySQL's InnoDB won't drop an index that's still needed to satisfy a
-    # foreign key (error 1553) -- the existing (user_id, database_id) index
-    # is the only one covering the `user_id` FK. Create the new unique
-    # index (which covers the same leading column) before dropping the old
-    # one, so an FK-satisfying index always exists, then swap it into its
-    # final name.
-    create_index(TABLE_NAME, TMP_INDEX_NAME, ["user_id", "database_id"], unique=True)
-    drop_index(TABLE_NAME, INDEX_NAME)
-    create_index(TABLE_NAME, INDEX_NAME, ["user_id", "database_id"], unique=True)
-    drop_index(TABLE_NAME, TMP_INDEX_NAME)
-
-
-def downgrade() -> None:
-    # The pre-flight dedupe above is not reversible -- any rows it removed
-    # stay removed -- but that only ever discards rows that violated the
-    # single-token-per-pair invariant the application already assumed.
-    create_index(TABLE_NAME, TMP_INDEX_NAME, ["user_id", "database_id"])
-    drop_index(TABLE_NAME, INDEX_NAME)
-    create_index(TABLE_NAME, INDEX_NAME, ["user_id", "database_id"])
-    drop_index(TABLE_NAME, TMP_INDEX_NAME)
@@ -1,35 +0,0 @@
-# Licensed to the Apache Software Foundation (ASF) under one
-# or more contributor license agreements.  See the NOTICE file
-# distributed with this work for additional information
-# regarding copyright ownership.  The ASF licenses this file
-# to you under the Apache License, Version 2.0 (the
-# "License"); you may not use this file except in compliance
-# with the License.  You may obtain a copy of the License at
-#
-#   http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing,
-# software distributed under the License is distributed on an
-# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
-# KIND, either express or implied.  See the License for the
-# specific language governing permissions and limitations
-# under the License.
-"""merge oauth2 token uniqueness with report_schedule include_cta
-
-Revision ID: 1072de5ed955
-Revises: ('da0e3f0081bf', '2d6ad72e4af6')
-Create Date: 2026-08-15 01:39:00.000000
-
-"""
-
-# revision identifiers, used by Alembic.
-revision = "1072de5ed955"
-down_revision = ("da0e3f0081bf", "2d6ad72e4af6")
-
-
-def upgrade():
-    pass
-
-
-def downgrade():
-    pass
@@ -1607,9 +1607,7 @@ class DatabaseUserOAuth2Tokens(Model, AuditMixinNullable):
    """

    __tablename__ = "database_user_oauth2_tokens"
-    __table_args__ = (
-        sqla.Index("idx_user_id_database_id", "user_id", "database_id", unique=True),
-    )
+    __table_args__ = (sqla.Index("idx_user_id_database_id", "user_id", "database_id"),)

    id = Column(Integer, primary_key=True)

@@ -181,24 +181,6 @@ OFFSET_JOIN_COLUMN_SUFFIX = "__offset_join_column_"
 R_SUFFIX = "__right_suffix"


-def _normalize_mssql_virtual_dataset_sql(
-    sql: str, parsed_script: SQLScript, engine: str
-) -> str:
-    """Remove SQL Server ordering that is invalid inside a derived table."""
-    if engine != "mssql" or not parsed_script.statements:
-        return sql
-
-    statement = parsed_script.statements[0]
-    if not isinstance(statement, SQLStatement):
-        return sql
-
-    return (
-        parsed_script.format()
-        if statement.remove_unbounded_top_level_order_by()
-        else sql
-    )
-
-
 def _as_wall_clock(series: pd.Series) -> pd.Series:
    """
    Return a datetime series as local wall-clock readings, dropping any
@@ -3192,10 +3174,6 @@ class ExploreMixin:  # pylint: disable=too-many-public-methods
                    ex,
                )

-        from_sql = _normalize_mssql_virtual_dataset_sql(
-            from_sql, parsed_script, self.db_engine_spec.engine
-        )
-
        cte = self.db_engine_spec.get_cte_query(from_sql)
        from_clause = (
            sa.table(self.db_engine_spec.cte_alias)
@@ -1451,18 +1451,6 @@ class SQLStatement(BaseSQLStatement[exp.Expression]):
        """
        return bool(self._parsed.args.get("with_"))

-    def remove_unbounded_top_level_order_by(self) -> bool:
-        """Drop ordering that becomes invalid when this query is embedded."""
-        if (
-            self._parsed.args.get("order")
-            and not self._parsed.args.get("limit")
-            and not self._parsed.args.get("offset")
-            and not self._parsed.args.get("for_")
-        ):
-            self._parsed.set("order", None)
-            return True
-        return False
-
    def as_cte(self, alias: str = "__cte") -> SQLStatement:
        """
        Rewrite the statement as a CTE.
@@ -21,11 +21,10 @@ import logging
 from typing import Any, TYPE_CHECKING

 from celery.exceptions import SoftTimeLimitExceeded
-from flask import current_app
+from flask import current_app, g
 from flask_appbuilder.security.sqla.models import User
 from marshmallow import ValidationError

-from superset.charts.data.form_data import set_form_data
 from superset.charts.schemas import ChartDataQueryContextSchema
 from superset.exceptions import (
    SupersetErrorException,
@@ -48,6 +47,10 @@ query_timeout = current_app.config[
 ]  # TODO: new config key


+def set_form_data(form_data: dict[str, Any]) -> None:
+    g.form_data = form_data
+
+
 def _create_query_context_from_form(form_data: dict[str, Any]) -> QueryContext:
    """
    Create the query context from the form data.
@@ -1081,15 +1081,19 @@ msgstr "A-Z"
 msgid "AND"
 msgstr "Y"

+#, fuzzy
 msgid "API Key Created"
-msgstr "Clave API creada"
+msgstr "se ha creado"

+#, fuzzy
 msgid "API Keys"
-msgstr "Claves API"
+msgstr "Clave privada"

+#, fuzzy
 msgid "API key created successfully"
-msgstr "Clave API creada correctamente"
+msgstr "El informe se ha creado"

+#, fuzzy
 msgid "API key name is required"
 msgstr "El nombre de la clave API es obligatorio"

@@ -1169,9 +1173,9 @@ msgstr "Formato adaptativo"
 msgid "Add"
 msgstr "Añadir"

-#, python-format
+#, fuzzy, python-format
 msgid "Add %s view(s)"
-msgstr "Añadir %s vista(s)"
+msgstr "%s opción(es)"

 msgid "Add BCC Recipients"
 msgstr "Añadir destinatarios CCO"
@@ -1210,8 +1214,9 @@ msgstr "Añadir rol"
 msgid "Add Rule"
 msgstr "Añadir regla"

+#, fuzzy
 msgid "Add Semantic View"
-msgstr "Añadir vista semántica"
+msgstr "Añadir un elemento"

 msgid "Add Tag"
 msgstr "Añadir etiqueta"
@@ -1788,8 +1793,9 @@ msgstr "Se ha producido un error al acceder al valor."
 msgid "An error occurred while accessing the value."
 msgstr "Se ha producido un error al acceder al valor."

+#, fuzzy
 msgid "An error occurred while adding semantic views"
-msgstr "Se ha producido un error al añadir las vistas semánticas"
+msgstr "Se ha producido un error al cargar el SQL"

 msgid ""
 "An error occurred while collapsing the table schema. Please contact your "
@@ -1812,8 +1818,9 @@ msgstr "Se ha producido un error al crear la fuente de datos"
 msgid "An error occurred while creating the extension."
 msgstr "Se ha producido un error al crear el valor."

+#, fuzzy
 msgid "An error occurred while creating the semantic layer"
-msgstr "Se ha producido un error al crear la capa semántica"
+msgstr "Se ha producido un error al crear el valor."

 msgid "An error occurred while creating the value."
 msgstr "Se ha producido un error al crear el valor."
@@ -1863,8 +1870,9 @@ msgstr "Se ha producido un error al recuperar las plantillas CSS disponibles"
 msgid "An error occurred while fetching available themes"
 msgstr "Se ha producido un error al recuperar las plantillas CSS disponibles"

+#, fuzzy
 msgid "An error occurred while fetching available views"
-msgstr "Se ha producido un error al recuperar las vistas disponibles"
+msgstr "Se ha producido un error al recuperar las plantillas CSS disponibles"

 #, python-format
 msgid "An error occurred while fetching chart editor values: %s"
@@ -1948,8 +1956,9 @@ msgstr ""
 msgid "An error occurred while fetching schema values: %s"
 msgstr "Se ha producido un error al recuperar los valores del esquema: %s"

+#, fuzzy
 msgid "An error occurred while fetching semantic layer types"
-msgstr "Se ha producido un error al recuperar los tipos de capa semántica"
+msgstr "Se ha producido un error al recuperar las plantillas CSS disponibles"

 msgid "An error occurred while fetching semantic layers"
 msgstr "Se ha producido un error al recuperar las capas semánticas"
@@ -1961,18 +1970,21 @@ msgstr "Se ha producido un error al recuperar el estado de la pestaña"
 msgid "An error occurred while fetching table metadata for %s"
 msgstr "Se ha producido un error al recuperar los metadatos de la tabla de %s"

+#, fuzzy
 msgid "An error occurred while fetching the configuration schema"
-msgstr "Se ha producido un error al recuperar el esquema de configuración"
+msgstr "Se ha producido un error al recuperar los nombres de las funciones."

+#, fuzzy
 msgid "An error occurred while fetching the runtime schema"
-msgstr "Se ha producido un error al recuperar el esquema de ejecución"
+msgstr "Se ha producido un error al recuperar los nombres de las funciones."

+#, fuzzy
 msgid "An error occurred while fetching the semantic layer"
-msgstr "Se ha producido un error al recuperar la capa semántica"
+msgstr "Se ha producido un error al recuperar el estado de la pestaña"

+#, fuzzy
 msgid "An error occurred while fetching the semantic view structure"
-msgstr ""
-"Se ha producido un error al recuperar la estructura de la vista semántica"
+msgstr "Se ha producido un error al recuperar el estado de la pestaña"

 #, fuzzy, python-format
 msgid "An error occurred while fetching theme datasource values: %s"
@@ -2045,8 +2057,9 @@ msgstr ""
 msgid "An error occurred while rendering the visualization: %s"
 msgstr "Se ha producido un error al renderizar la visualización: %s"

+#, fuzzy
 msgid "An error occurred while saving the semantic view"
-msgstr "Se ha producido un error al guardar la vista semántica"
+msgstr "Se ha producido un error al cargar el SQL"

 msgid "An error occurred while starring this chart"
 msgstr "Se ha producido un error al destacar este gráfico"
@@ -2071,8 +2084,9 @@ msgstr ""
 msgid "An error occurred while updating the extension."
 msgstr "Se ha producido un error al actualizar el valor."

+#, fuzzy
 msgid "An error occurred while updating the semantic layer"
-msgstr "Se ha producido un error al actualizar la capa semántica"
+msgstr "Se ha producido un error al actualizar el valor."

 msgid "An error occurred while updating the value."
 msgstr "Se ha producido un error al actualizar el valor."
@@ -2440,11 +2454,11 @@ msgstr ""
 "¿Está seguro de que desea eliminar el tema predeterminado del sistema? La"
 " aplicación volverá al predeterminado del archivo de configuración."

+#, fuzzy
 msgid ""
 "Are you sure you want to revoke this API key? This action cannot be "
 "undone."
-msgstr ""
-"¿Seguro que quieres revocar esta clave API? Esta acción no se puede deshacer."
+msgstr "¿Seguro que quieres eliminar las anotaciones seleccionadas?"

 msgid "Are you sure you want to save and apply changes?"
 msgstr "¿Seguro que quieres guardar y aplicar los cambios?"
@@ -3308,11 +3322,13 @@ msgstr "No se permite cambiar esta fuente de datos"
 msgid "Changing this report is forbidden"
 msgstr "No se permite cambiar este informe"

+#, fuzzy
 msgid "Changing this semantic layer is forbidden"
-msgstr "No se permite cambiar esta capa semántica"
+msgstr "No se permite cambiar este gráfico"

+#, fuzzy
 msgid "Changing this semantic view is forbidden"
-msgstr "No se permite cambiar esta vista semántica"
+msgstr "No se permite cambiar este conjunto de datos"

 #, fuzzy
 msgid "Changing this task is forbidden"
@@ -3775,8 +3791,9 @@ msgstr "Haz clic para ordenar de forma ascendente"
 msgid "Click to sort descending"
 msgstr "Haz clic para ordenar de forma descendente"

+#, fuzzy
 msgid "Client ID"
-msgstr "ID de cliente"
+msgstr "Anchura de la línea"

 msgid "Client Secret"
 msgstr "Secreto de cliente"
@@ -4439,8 +4456,9 @@ msgstr "Mapa del país"
 msgid "Create"
 msgstr "Crear"

+#, fuzzy
 msgid "Create API Key"
-msgstr "Crear clave API"
+msgstr "Creado por"

 #, fuzzy
 msgid "Create Tag"
@@ -4786,8 +4804,9 @@ msgstr "No se ha encontrado el panel de control %(dashboard_id)s"
 msgid "Dashboard Filter"
 msgstr "Titulo del panel de control"

+#, fuzzy
 msgid "Dashboard Id"
-msgstr "ID del panel de control"
+msgstr "panel de control"

 #, python-format
 msgid "Dashboard [%s] just got created and chart [%s] was added to it"
@@ -5417,8 +5436,9 @@ msgstr ""
 "Define si el paso debe aparecer al principio, en el medio o al final "
 "entre dos puntos de datos"

+#, fuzzy
 msgid "Definition"
-msgstr "Definición"
+msgstr "desviación"

 # Machine-translated via backfill_po.py (claude-sonnet-4-6) [refs: de, ja, sr,
 # sr_Latn]
@@ -5458,11 +5478,13 @@ msgstr "¿Eliminar el informe?"
 msgid "Delete Role?"
 msgstr "¿Eliminar el rol?"

+#, fuzzy
 msgid "Delete Semantic Layer?"
-msgstr "¿Eliminar la capa semántica?"
+msgstr "¿Eliminar la capa?"

+#, fuzzy
 msgid "Delete Semantic View?"
-msgstr "¿Eliminar la vista semántica?"
+msgstr "¿Eliminar la plantilla?"

 msgid "Delete Template?"
 msgstr "¿Eliminar la plantilla?"
@@ -5956,8 +5978,9 @@ msgstr "Dominio"
 msgid "Don't refresh"
 msgstr "Datos actualizados"

+#, fuzzy
 msgid "Done"
-msgstr "Listo"
+msgstr "Ninguno"

 msgid "Donut"
 msgstr "Dónut"
@@ -6188,8 +6211,9 @@ msgstr "Duración en ms (10500 => 0:00:10.5)"
 msgid "Duration in ms (66000 => 1m 6s)"
 msgstr "Duración en ms (66 000 => 1 m 6 s)"

+#, fuzzy
 msgid "Duration in seconds"
-msgstr "Duración en segundos"
+msgstr "Introduce la duración en segundos"

 # Machine-translated via backfill_po.py (claude-sonnet-4-6) [refs: ru]
 #, fuzzy
@@ -6930,8 +6954,9 @@ msgstr ""
 msgid "Experimental"
 msgstr "Experimental"

+#, fuzzy
 msgid "Expired"
-msgstr "Caducado"
+msgstr "Explorar"

 msgid "Explore"
 msgstr "Explorar"
@@ -7054,8 +7079,9 @@ msgstr "Exponer base de datos en SQL Lab"
 msgid "Expose in SQL Lab"
 msgstr "Exponer en SQL Lab"

+#, fuzzy
 msgid "Expression"
-msgstr "Expresión"
+msgstr "Expresión SQL"

 #, fuzzy
 msgid "Expression cannot be empty"
@@ -7145,15 +7171,17 @@ msgstr "No se han podido recuperar los resultados"
 msgid "Failed to apply theme: Invalid JSON"
 msgstr "Error al aplicar el tema: JSON no válido"

+#, fuzzy
 msgid "Failed to copy API key to clipboard"
-msgstr "No se ha podido copiar la clave API al portapapeles"
+msgstr "Copiar consulta de partición al portapapeles"

 #, fuzzy
 msgid "Failed to copy stack trace to clipboard"
 msgstr "Copiar al portapapeles"

+#, fuzzy
 msgid "Failed to create API key"
-msgstr "No se ha podido crear la clave API"
+msgstr "No se ha podido generar el informe"

 msgid "Failed to create report"
 msgstr "No se ha podido generar el informe"
@@ -7179,8 +7207,9 @@ msgid ""
 "administrator."
 msgstr ""

+#, fuzzy
 msgid "Failed to fetch API keys"
-msgstr "No se han podido recuperar las claves API"
+msgstr "No se han podido etiquetar los elementos"

 msgid "Failed to generate chart edit URL"
 msgstr "No se ha podido generar la URL de edición del gráfico"
@@ -7228,8 +7257,9 @@ msgstr ""
 msgid "Failed to retrieve advanced type"
 msgstr "No se ha podido recuperar el tipo avanzado"

+#, fuzzy
 msgid "Failed to revoke API key"
-msgstr "No se ha podido revocar la clave API"
+msgstr "No se ha podido detener la consulta."

 #, fuzzy
 msgid "Failed to save chart customization"
@@ -7836,8 +7866,9 @@ msgstr "Nombre y URL de la hoja de cálculo de Google"
 msgid "Grace period"
 msgstr "Periodo de gracia"

+#, fuzzy
 msgid "Grain"
-msgstr "Granularidad"
+msgstr "Granularidad temporal"

 msgid "Graph Chart"
 msgstr "Gráfico"
@@ -8199,8 +8230,9 @@ msgstr ""
 msgid "In this view you can preview the first 25 rows. "
 msgstr "En esta vista puede obtener una vista previa de las primeras 25 filas. "

+#, fuzzy
 msgid "Inactive"
-msgstr "Inactivo"
+msgstr "Activo"

 msgid "Include Series"
 msgstr "Incluir series"
@@ -8622,8 +8654,9 @@ msgstr "Continuar editando"
 msgid "Key"
 msgstr "Clave"

+#, fuzzy
 msgid "Key Prefix"
-msgstr "Prefijo de la clave"
+msgstr "Prefijo"

 msgid "Keyboard shortcuts"
 msgstr "Accesos rápidos de teclado"
@@ -8744,8 +8777,9 @@ msgstr "Última actualización %s"
 msgid "Last Updated %s by %s"
 msgstr "Última actualización %s por %s"

+#, fuzzy
 msgid "Last Used"
-msgstr "Último uso"
+msgstr "Listar usuarios"

 #, python-format
 msgid "Last available value seen on %s"
@@ -9258,8 +9292,9 @@ msgstr ""
 msgid "Mapbox"
 msgstr "Mapbox"

+#, fuzzy
 msgid "Mapbox (API key required)"
-msgstr "Mapbox (requiere clave API)"
+msgstr "El correo electrónico es obligatorio"

 # Machine-translated via backfill_po.py (claude-sonnet-4-6) [refs: de, sr,
 # sr_Latn]
@@ -9826,8 +9861,9 @@ msgstr "Nombre de la columna que contiene el ID del nodo primario"
 msgid "Name of the id column"
 msgstr "Nombre de la columna de ID"

+#, fuzzy
 msgid "Name of the semantic layer"
-msgstr "Nombre de la capa semántica"
+msgstr "Nombre de la columna de ID"

 msgid "Name of the source nodes"
 msgstr "Nombre de los nodos de origen"
@@ -9878,9 +9914,9 @@ msgstr "Error de red."
 msgid "New"
 msgstr "Ahora"

-#, -ERR:PROP-NOT-FOUND-
+#, -ERR:PROP-NOT-FOUND-, fuzzy
 msgid "New Semantic Layer"
-msgstr "Nueva capa semántica"
+msgstr "No hay capas de anotación"

 msgid "New chart"
 msgstr "Nuevo gráfico"
@@ -11958,11 +11994,13 @@ msgstr "Lat. y long. inversas"
 msgid "Reverse lat/long "
 msgstr "Lat./long. inversa "

+#, fuzzy
 msgid "Revoke"
-msgstr "Revocar"
+msgstr "Eliminar"

+#, fuzzy
 msgid "Revoke API Key"
-msgstr "Revocar clave API"
+msgstr "Clave de grupo"

 # Machine-translated via backfill_po.py (claude-sonnet-4-6) [refs: de, ja, sr,
 # sr_Latn]
@@ -11970,8 +12008,9 @@ msgstr "Revocar clave API"
 msgid "Revoke this API key"
 msgstr "Revocar esta clave API"

+#, fuzzy
 msgid "Revoked"
-msgstr "Revocado"
+msgstr "Trazado"

 msgid "Rich Tooltip"
 msgstr "Información sobre herramientas mejorada"
@@ -12689,11 +12728,13 @@ msgstr "Selecciona un esquema"
 msgid "Select a schema if the database supports this"
 msgstr "Selecciona un esquema si la base de datos lo admite"

+#, fuzzy
 msgid "Select a semantic layer"
-msgstr "Selecciona una capa semántica"
+msgstr "Selecciona un esquema"

+#, fuzzy
 msgid "Select a semantic layer type"
-msgstr "Selecciona un tipo de capa semántica"
+msgstr "Seleccionar tipo de visualización"

 msgid "Select a sheet name from the uploaded file"
 msgstr "Seleccione un nombre de hoja del archivo subido"
@@ -12931,8 +12972,9 @@ msgstr "Selecciona un esquema"
 msgid "Select scheme"
 msgstr "Seleccionar esquema"

+#, fuzzy
 msgid "Select semantic views"
-msgstr "Selecciona las vistas semánticas"
+msgstr "Seleccionar esquema"

 msgid ""
 "Select shape for computing values. \"FIXED\" sets all zoom levels to the "
@@ -13087,11 +13129,13 @@ msgstr "La selección de una base de datos es obligatoria"
 msgid "Selection method"
 msgstr "Selecciona el método de entrega"

+#, fuzzy
 msgid "Semantic"
-msgstr "Semántico"
+msgstr "Correo electrónico"

+#, fuzzy
 msgid "Semantic Layer"
-msgstr "Capa semántica"
+msgstr "Capa de anotación"

 # Machine-translated via backfill_po.py (claude-sonnet-4-6) [refs: de, sr,
 # sr_Latn]
@@ -13105,47 +13149,61 @@ msgstr "Vista semántica"
 msgid "Semantic Views"
 msgstr "Vistas semánticas"

+#, fuzzy
 msgid "Semantic layer"
-msgstr "Capa semántica"
+msgstr "Capa de anotación"

+#, fuzzy
 msgid "Semantic layer could not be created."
-msgstr "No se ha podido crear la capa semántica."
+msgstr "No se ha podido crear la capa de anotación."

+#, fuzzy
 msgid "Semantic layer could not be deleted."
-msgstr "No se ha podido eliminar la capa semántica."
+msgstr "No se han podido eliminar las capas de anotación."

+#, fuzzy
 msgid "Semantic layer could not be updated."
-msgstr "No se ha podido actualizar la capa semántica."
+msgstr "No se ha podido actualizar la capa de anotación."

+#, fuzzy
 msgid "Semantic layer created"
-msgstr "Capa semántica creada"
+msgstr "Se ha creado la plantilla de anotación"

+#, fuzzy
 msgid "Semantic layer does not exist"
-msgstr "La capa semántica no existe"
+msgstr "El gráfico no existe"

+#, fuzzy
 msgid "Semantic layer parameters are invalid."
-msgstr "Los parámetros de la capa semántica no son válidos."
+msgstr "Los parámetros de la capa de anotación no son válidos."

+#, fuzzy
 msgid "Semantic layer type"
-msgstr "Tipo de capa semántica"
+msgstr "Tipo de la capa de anotación"

+#, fuzzy
 msgid "Semantic layer updated"
-msgstr "Capa semántica actualizada"
+msgstr "Se ha actualizado la plantilla de anotación"

+#, fuzzy
 msgid "Semantic view could not be created."
-msgstr "No se ha podido crear la vista semántica."
+msgstr "No se ha podido crear el conjunto de datos."

+#, fuzzy
 msgid "Semantic view could not be deleted."
-msgstr "No se ha podido eliminar la vista semántica."
+msgstr "No se han podido eliminar las plantillas CSS."

+#, fuzzy
 msgid "Semantic view could not be updated."
-msgstr "No se ha podido actualizar la vista semántica."
+msgstr "No se ha podido actualizar el conjunto de datos."

+#, fuzzy
 msgid "Semantic view does not exist"
-msgstr "La vista semántica no existe"
+msgstr "El conjunto de datos no existe"

+#, fuzzy
 msgid "Semantic view parameters are invalid."
-msgstr "Los parámetros de la vista semántica no son válidos."
+msgstr "Los parámetros del conjunto de datos no son válidos."

 # Machine-translated via backfill_po.py (claude-sonnet-4-6) [refs: de, sr,
 # sr_Latn]
@@ -13714,8 +13772,9 @@ msgstr "Omitir espacios después del delimitador"
 msgid "Skipped %d system themes that cannot be deleted"
 msgstr "Se omitieron %d temas del sistema que no se pueden eliminar"

+#, fuzzy
 msgid "Slice Id"
-msgstr "ID del gráfico"
+msgstr "Anchura de la línea"

 #, fuzzy
 msgid "Slider"
@@ -13958,8 +14017,9 @@ msgstr "Fuente SQL"
 msgid "Source category"
 msgstr "Categoría de fuente"

+#, fuzzy
 msgid "Source location"
-msgstr "Ubicación de origen"
+msgstr "Categoría de fuente"

 msgid "Sparkline"
 msgstr "Minigráfica"
@@ -18806,8 +18866,9 @@ msgstr "No tienes acceso a este conjunto de datos."
 msgid "You don't have access to this embedded dashboard config."
 msgstr "No tienes acceso a la configuración de este panel de control incrustado."

+#, fuzzy
 msgid "You don't have access to this semantic view."
-msgstr "No tienes acceso a esta vista semántica."
+msgstr "No tienes acceso a este conjunto de datos."

 #, fuzzy
 msgid "You don't have permission to copy to clipboard"
@@ -76,11 +76,9 @@ def guest_embedded_dashboard_filter() -> Optional[ColumnElement[bool]]:
    # TODO (embedded): only use the uuid filter once uuids are rolled out
    # A guest token may mix uuid and int dashboard ids during the uuid rollout.
    # Route each id kind to its own column and OR them — a plain int sent to the
-    # uuid-typed column would raise a bind/type error. Match only the id kinds
-    # has_guest_access authorizes (uuid, decimal id); a slug is fail-closed on
-    # the data path, so matching it here would be moot.
+    # uuid-typed column would raise a bind/type error.
    uuid_ids = [id_ for id_ in ids if is_uuid(id_)]
-    int_ids = [id_ for id_ in ids if not is_uuid(id_) and str(id_).isdigit()]
+    int_ids = [id_ for id_ in ids if not is_uuid(id_)]
    conditions: list[Any] = []
    if uuid_ids:
        conditions.append(Dashboard.embedded.any(EmbeddedDashboard.uuid.in_(uuid_ids)))
@@ -28,7 +28,11 @@ from superset.common.query_context_factory import QueryContextFactory
 from superset.common.utils.query_cache_manager import QueryCacheManager
 from superset.constants import CacheRegion
 from superset.daos.datasource import DatasourceDAO
-from superset.utils.core import extract_dataframe_dtypes, QueryStatus
+from superset.utils.core import (
+    apply_max_row_limit,
+    extract_dataframe_dtypes,
+    QueryStatus,
+)
 from superset.views.datasource.schemas import SamplesPayloadSchema

 if TYPE_CHECKING:
@@ -45,9 +49,11 @@ def get_limit_clause(page: Optional[int], per_page: Optional[int]) -> dict[str,

    if isinstance(page, int) and isinstance(per_page, int):
        limit = int(per_page)
-        if limit < 0 or limit > samples_row_limit:
+        if limit < 0:
            # reset limit value if input is invalid
            limit = samples_row_limit
+        elif limit:
+            limit = apply_max_row_limit(limit)

        offset = max((int(page) - 1) * limit, 0)

@@ -21,7 +21,6 @@ import pandas as pd
 import pytest
 from flask import current_app
 from flask_babel import gettext as __
-from jinja2.exceptions import TemplateError, TemplateSyntaxError

 from superset import db, sql_lab
 from superset.commands.sql_lab import estimate, export, results
@@ -406,29 +405,6 @@ class TestSqlExecutionResultsCommand(SupersetTestCase):
            )
            assert ex_info.value.status == 403

-    @pytest.mark.usefixtures("create_database_and_query")
-    @patch("superset.commands.sql_lab.results.results_backend_use_msgpack", False)
-    def test_validation_malformed_jinja(self) -> None:
-        # ``raise_for_access`` re-parses the query's unrendered Jinja via
-        # ``process_jinja_sql`` and can raise a raw ``TemplateError`` (e.g. an
-        # unclosed ``{% if %}``). ``TemplateSyntaxError`` is a subclass of
-        # ``TemplateError``. It must surface as a 400, not an opaque 500.
-        assert issubclass(TemplateSyntaxError, TemplateError)
-
-        command = results.SqlExecutionResultsCommand("abc_query", 1000)
-
-        with mock.patch(
-            "superset.models.sql_lab.Query.raise_for_access",
-            side_effect=TemplateSyntaxError("unexpected end of template", lineno=1),
-        ):
-            with pytest.raises(SupersetErrorException) as ex_info:
-                command.run()
-            assert (
-                ex_info.value.error.error_type
-                == SupersetErrorType.GENERIC_COMMAND_ERROR
-            )
-            assert ex_info.value.status == 400
-
    @pytest.mark.usefixtures("create_database_and_query")
    @patch("superset.commands.sql_lab.results.results_backend_use_msgpack", False)
    def test_run_succeeds(self) -> None:
@@ -19,14 +19,12 @@
 import copy
 from collections.abc import Generator
 from datetime import datetime, timezone
-from typing import Any
 from unittest.mock import patch

 import pytest
 import yaml
 from flask_appbuilder.security.sqla.models import Role, User
 from pytest_mock import MockerFixture
-from sqlalchemy.exc import SQLAlchemyError
 from sqlalchemy.orm.session import Session

 from superset import security_manager
@@ -508,71 +506,3 @@ def test_import_tag_logic_for_charts(session_with_schema: Session):
            .all()
        )
        assert len(associated_tags) == 0
-
-
-def test_import_tag_savepoint_keeps_session_usable(
-    mocker: MockerFixture, session_with_schema: Session
-) -> None:
-    """
-    When a single tag operation fails with a SQLAlchemyError (e.g. a unique
-    constraint violation from a concurrent import), the per-tag SAVEPOINT
-    isolates the failure so the session is not left in a pending-rollback
-    state, and the remaining tags still import successfully.
-    """
-    contents = {
-        "tags.yaml": yaml.dump(
-            {
-                "tags": [
-                    {"tag_name": "tag_1", "description": "Description for tag_1"},
-                    {"tag_name": "tag_2", "description": "Description for tag_2"},
-                ]
-            }
-        )
-    }
-
-    object_id = 1
-    object_type = "chart"
-
-    # Simulate a unique-constraint violation discovered when the first
-    # TaggedObject's SAVEPOINT is flushed (e.g. a concurrent import already
-    # created the same association) -- not synchronously from Session.add().
-    # `import_tag`'s own pre-insert existence check would normally catch a
-    # real duplicate row, so the failure is injected at the point SQLAlchemy
-    # actually persists the pending row: `begin_nested()`'s implicit flush
-    # on a successful `with` exit, which calls `Session.flush()` directly
-    # (see `SessionTransaction._prepare_impl`).
-    pending_tagged_objects: list[TaggedObject] = []
-    original_add = session_with_schema.add
-
-    def tracking_add(obj: object) -> None:
-        if isinstance(obj, TaggedObject):
-            pending_tagged_objects.append(obj)
-        original_add(obj)
-
-    original_flush = session_with_schema.flush
-
-    def flaky_flush(*args: Any, **kwargs: Any) -> None:
-        # Only the first TaggedObject ever added should fail, and only while
-        # it's still pending -- once its SAVEPOINT rolls back, SQLAlchemy
-        # expunges it from the session, so this does not also fail tag_2's
-        # flush.
-        if (
-            pending_tagged_objects
-            and pending_tagged_objects[0] is not None
-            and pending_tagged_objects[0] in session_with_schema.new
-        ):
-            raise SQLAlchemyError("UNIQUE constraint failed: tagged_object")
-        original_flush(*args, **kwargs)
-
-    mocker.patch.object(session_with_schema, "add", side_effect=tracking_add)
-    mocker.patch.object(session_with_schema, "flush", side_effect=flaky_flush)
-
-    with patch.object(feature_flag_manager, "is_feature_enabled", return_value=True):
-        new_tag_ids = import_tag(
-            ["tag_1", "tag_2"], contents, object_id, object_type, session_with_schema
-        )
-
-    # tag_1 failed on the unique violation, but tag_2 succeeded.
-    assert len(new_tag_ids) == 1
-    # The session is still usable — no PendingRollbackError.
-    assert session_with_schema.query(TaggedObject).count() == 1
@@ -1,32 +0,0 @@
-# Licensed to the Apache Software Foundation (ASF) under one
-# or more contributor license agreements.  See the NOTICE file
-# distributed with this work for additional information
-# regarding copyright ownership.  The ASF licenses this file
-# to you under the Apache License, Version 2.0 (the
-# "License"); you may not use this file except in compliance
-# with the License.  You may obtain a copy of the License at
-#
-#   http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing,
-# software distributed under the License is distributed on an
-# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
-# KIND, either express or implied.  See the License for the
-# specific language governing permissions and limitations
-# under the License.
-
-from typing import Any
-
-from flask import current_app, g
-
-from superset.charts.data.form_data import set_form_data
-
-
-def test_set_form_data_exposes_payload_on_flask_global() -> None:
-    """The shared helper publishes form data for request-independent queries."""
-    payload: dict[str, Any] = {"queries": [{"filters": []}]}
-
-    with current_app.test_request_context():
-        set_form_data(payload)
-
-        assert g.form_data is payload
@@ -434,7 +434,6 @@ class TestMapBigNumberConfig:

        assert form_data["adhoc_filters"][0]["subject"] == "order_date"
        assert form_data["adhoc_filters"][0]["operator"] == "TEMPORAL_RANGE"
-        assert form_data["_mcp_dashboard_time_filter_subject"] == "order_date"
        mock_find_by_id_or_uuid.assert_called_once_with("42")

    @patch("superset.mcp_service.chart.chart_utils.is_column_truly_temporal")
@@ -2049,25 +2049,6 @@ class TestValidateChartDataset:
        assert result.dataset_id == 7
        assert result.dataset_name == "my_table"
        assert result.warnings == []
-        # check_access=True keeps the DatasourceFilter base filter and the RBAC check.
-        mock_find.assert_called_once_with(7, skip_base_filter=False)
-        mock_access.assert_called_once_with(dataset)
-
-    @patch("superset.mcp_service.auth.has_dataset_access")
-    @patch("superset.daos.dataset.DatasetDAO.find_by_id")
-    def test_validate_chart_dataset_no_access_check_is_existence_only(
-        self, mock_find: MagicMock, mock_access: MagicMock
-    ) -> None:
-        """check_access=False (embedded guests) resolves the dataset with the base
-        filter skipped and never runs the RBAC check. DatasetDAO's DatasourceFilter
-        returns nothing for a principal without datasource grants, so leaving it on
-        would turn the existence check into an access check and deny every guest."""
-        dataset = MagicMock(table_name="orders", sql=None)
-        mock_find.return_value = dataset
-        result = validate_chart_dataset(7, check_access=False)
-        assert result.is_valid
-        mock_find.assert_called_once_with(7, skip_base_filter=True)
-        mock_access.assert_not_called()

    @patch("superset.mcp_service.auth.has_dataset_access", return_value=True)
    @patch("superset.daos.dataset.DatasetDAO.find_by_id")
@@ -1,567 +0,0 @@
-# Licensed to the Apache Software Foundation (ASF) under one
-# or more contributor license agreements.  See the NOTICE file
-# distributed with this work for additional information
-# regarding copyright ownership.  The ASF licenses this file
-# to you under the Apache License, Version 2.0 (the
-# "License"); you may not use this file except in compliance
-# with the License.  You may obtain a copy of the License at
-#
-#   http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing,
-# software distributed under the License is distributed on an
-# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
-# KIND, either express or implied.  See the License for the
-# specific language governing permissions and limitations
-# under the License.
-
-"""Regression tests for MCP chart dashboard time-range binding."""
-
-from types import SimpleNamespace
-from typing import Any, cast
-from unittest.mock import MagicMock, patch
-
-import pytest
-
-from superset.common.query_context_factory import QueryContextFactory
-from superset.common.query_object import QueryObject
-from superset.mcp_service.chart.chart_utils import (
-    _bind_dashboard_time_range_filter,
-    adhoc_filters_to_query_filters,
-    map_config_to_form_data,
-)
-from superset.mcp_service.chart.schemas import (
-    BigNumberChartConfig,
-    BoxPlotChartConfig,
-    ChartConfig,
-    ColumnRef,
-    HandlebarsChartConfig,
-    HistogramChartConfig,
-    MixedTimeseriesChartConfig,
-    PieChartConfig,
-    PivotTableChartConfig,
-    TableChartConfig,
-    WaterfallChartConfig,
-    XYChartConfig,
-)
-from superset.mcp_service.chart.validation.dataset_validator import (
-    build_dataset_context_from_orm,
-    DatasetValidator,
-)
-from superset.mcp_service.common.error_schemas import DatasetContext
-from superset.utils.core import GenericDataType, merge_extra_form_data
-
-METRIC = ColumnRef(name="revenue", aggregate="SUM")
-CATEGORY = ColumnRef(name="region")
-
-
-def _chart_configs() -> list[ChartConfig]:
-    return [
-        BigNumberChartConfig(chart_type="big_number", metric=METRIC),
-        BoxPlotChartConfig(metrics=[METRIC], distribute_across=[CATEGORY]),
-        HandlebarsChartConfig(
-            chart_type="handlebars",
-            handlebars_template="{{#each data}}{{region}}{{/each}}",
-            groupby=[CATEGORY],
-            metrics=[METRIC],
-        ),
-        HistogramChartConfig(column=ColumnRef(name="duration")),
-        MixedTimeseriesChartConfig(
-            x=CATEGORY,
-            y=[METRIC],
-            y_secondary=[ColumnRef(name="orders", aggregate="COUNT")],
-        ),
-        PieChartConfig(dimension=CATEGORY, metric=METRIC),
-        PivotTableChartConfig(rows=[CATEGORY], metrics=[METRIC]),
-        TableChartConfig(columns=[CATEGORY, METRIC]),
-        WaterfallChartConfig(
-            x_axis=ColumnRef(name="event_time"),
-            metric=METRIC,
-        ),
-        XYChartConfig(x=CATEGORY, y=[METRIC]),
-    ]
-
-
-@pytest.mark.parametrize("config", _chart_configs())
-def test_every_chart_config_accepts_temporal_column(config: ChartConfig) -> None:
-    updated = type(config).model_validate(
-        {**config.model_dump(), "temporal_column": "created_at"}
-    )
-
-    assert updated.temporal_column == "created_at"
-
-
-@pytest.mark.parametrize(
-    ("config", "expected_subject"),
-    [
-        (
-            BoxPlotChartConfig(metrics=[METRIC], distribute_across=[CATEGORY]),
-            "order_date",
-        ),
-        (
-            HandlebarsChartConfig(
-                chart_type="handlebars",
-                handlebars_template="{{region}}",
-                groupby=[CATEGORY],
-                metrics=[METRIC],
-            ),
-            "order_date",
-        ),
-        (HistogramChartConfig(column=ColumnRef(name="duration")), "order_date"),
-        (
-            MixedTimeseriesChartConfig(
-                x=CATEGORY,
-                y=[METRIC],
-                y_secondary=[ColumnRef(name="orders", aggregate="COUNT")],
-            ),
-            "order_date",
-        ),
-        (PieChartConfig(dimension=CATEGORY, metric=METRIC), "order_date"),
-        (PivotTableChartConfig(rows=[CATEGORY], metrics=[METRIC]), "order_date"),
-        (TableChartConfig(columns=[CATEGORY, METRIC]), "order_date"),
-        (
-            WaterfallChartConfig(
-                x_axis=ColumnRef(name="event_time"),
-                metric=METRIC,
-            ),
-            "event_time",
-        ),
-        (XYChartConfig(x=CATEGORY, y=[METRIC]), "order_date"),
-    ],
-)
-@patch("superset.daos.dataset.DatasetDAO.find_by_id_or_uuid")
-@patch("superset.mcp_service.chart.chart_utils.is_column_truly_temporal")
-def test_unbound_charts_get_dashboard_temporal_filter(
-    mock_is_temporal: MagicMock,
-    mock_find_dataset: MagicMock,
-    config: ChartConfig,
-    expected_subject: str,
-) -> None:
-    mock_find_dataset.return_value = SimpleNamespace(main_dttm_col="order_date")
-    mock_is_temporal.side_effect = lambda column, dataset_id, dataset=None: column in {
-        "created_at",
-        "event_time",
-        "order_date",
-    }
-
-    form_data = map_config_to_form_data(config, dataset_id=42)
-
-    temporal_filters = [
-        filter_
-        for filter_ in form_data["adhoc_filters"]
-        if filter_["operator"] == "TEMPORAL_RANGE"
-    ]
-    assert temporal_filters == [
-        {
-            "clause": "WHERE",
-            "expressionType": "SIMPLE",
-            "subject": expected_subject,
-            "operator": "TEMPORAL_RANGE",
-            "comparator": "No filter",
-        }
-    ]
-
-
-@pytest.mark.parametrize(
-    "config",
-    [
-        TableChartConfig(
-            columns=[CATEGORY, METRIC],
-            temporal_column="created_at",
-        ),
-        WaterfallChartConfig(
-            x_axis=CATEGORY,
-            metric=METRIC,
-            time_grain="P1D",
-            temporal_column="created_at",
-        ),
-        BigNumberChartConfig(
-            chart_type="big_number",
-            metric=METRIC,
-            temporal_column="created_at",
-        ),
-    ],
-)
-@patch("superset.mcp_service.chart.chart_utils.is_column_truly_temporal")
-def test_explicit_temporal_column_takes_precedence(
-    mock_is_temporal: MagicMock,
-    config: ChartConfig,
-) -> None:
-    mock_is_temporal.return_value = True
-
-    form_data = map_config_to_form_data(config, dataset_id=42)
-
-    assert form_data["adhoc_filters"][0]["subject"] == "created_at"
-
-
-@patch(
-    "superset.mcp_service.chart.chart_utils.is_column_truly_temporal",
-    return_value=True,
-)
-@patch(
-    "superset.mcp_service.chart.chart_utils._find_dataset_by_id_or_uuid",
-    return_value=SimpleNamespace(main_dttm_col="event_time"),
-)
-def test_temporal_xy_binding_records_generated_subject(
-    mock_find_dataset: MagicMock,
-    mock_is_temporal: MagicMock,
-) -> None:
-    form_data = map_config_to_form_data(
-        XYChartConfig(x=ColumnRef(name="event_time"), y=[METRIC]),
-        dataset_id=42,
-    )
-
-    assert form_data["_mcp_dashboard_time_filter_subject"] == "event_time"
-
-
-@pytest.mark.parametrize(
-    "config",
-    [
-        XYChartConfig(
-            x=ColumnRef(name="event_time"),
-            y=[METRIC],
-            temporal_column="created_at",
-        ),
-        MixedTimeseriesChartConfig(
-            x=ColumnRef(name="event_time"),
-            y=[METRIC],
-            y_secondary=[ColumnRef(name="orders", aggregate="COUNT")],
-            temporal_column="created_at",
-        ),
-        WaterfallChartConfig(
-            x_axis=CATEGORY,
-            metric=METRIC,
-            time_grain="P1D",
-            temporal_column="created_at",
-        ),
-    ],
-)
-@patch(
-    "superset.mcp_service.chart.chart_utils.is_column_truly_temporal",
-    return_value=True,
-)
-def test_explicit_temporal_column_overrides_temporal_granularity(
-    mock_is_temporal: MagicMock,
-    config: ChartConfig,
-) -> None:
-    form_data = map_config_to_form_data(config, dataset_id=42)
-
-    # QueryContextFactory gives granularity precedence over temporal filters, so
-    # retaining event_time here would silently bind the range to both columns.
-    assert form_data["granularity_sqla"] is None
-    assert form_data["adhoc_filters"] == [
-        {
-            "clause": "WHERE",
-            "expressionType": "SIMPLE",
-            "subject": "created_at",
-            "operator": "TEMPORAL_RANGE",
-            "comparator": "No filter",
-        }
-    ]
-
-    query_object = QueryObject(
-        columns=[form_data.get("x_axis") or "event_time"],
-        filters=cast(Any, adhoc_filters_to_query_filters(form_data["adhoc_filters"])),
-        granularity=form_data["granularity_sqla"],
-        time_range="Last week",
-    )
-    datasource = SimpleNamespace(
-        columns=[
-            SimpleNamespace(column_name="event_time", is_dttm=True),
-            SimpleNamespace(column_name="created_at", is_dttm=True),
-        ],
-        main_dttm_col="event_time",
-        currency_code_column=None,
-    )
-
-    processed = QueryContextFactory()._process_query_object(
-        datasource, form_data, query_object
-    )
-
-    assert processed.granularity is None
-    assert processed.filter == [
-        {"col": "created_at", "op": "TEMPORAL_RANGE", "val": "Last week"}
-    ]
-
-
-@patch("superset.daos.dataset.DatasetDAO.find_by_id_or_uuid")
-@patch("superset.mcp_service.chart.chart_utils.is_column_truly_temporal")
-def test_non_temporal_waterfall_granularity_falls_back_to_dataset_time_column(
-    mock_is_temporal: MagicMock,
-    mock_find_dataset: MagicMock,
-) -> None:
-    mock_find_dataset.return_value = SimpleNamespace(main_dttm_col="order_date")
-    mock_is_temporal.side_effect = (
-        lambda column, dataset_id, dataset=None: column == "order_date"
-    )
-    config = WaterfallChartConfig(
-        x_axis=CATEGORY,
-        metric=METRIC,
-        time_grain="P1D",
-    )
-
-    form_data = map_config_to_form_data(config, dataset_id=42)
-
-    assert form_data["granularity_sqla"] == "region"
-    assert form_data["adhoc_filters"] == [
-        {
-            "clause": "WHERE",
-            "expressionType": "SIMPLE",
-            "subject": "order_date",
-            "operator": "TEMPORAL_RANGE",
-            "comparator": "No filter",
-        }
-    ]
-
-
-@pytest.mark.parametrize(
-    "config",
-    [
-        TableChartConfig(
-            columns=[CATEGORY, METRIC],
-            temporal_column="fiscal_year",
-        ),
-        BigNumberChartConfig(
-            chart_type="big_number",
-            metric=METRIC,
-            temporal_column="fiscal_year",
-        ),
-    ],
-)
-@patch("superset.daos.dataset.DatasetDAO.find_by_id_or_uuid")
-@patch("superset.mcp_service.chart.chart_utils.is_column_truly_temporal")
-def test_explicit_non_temporal_column_does_not_fall_back(
-    mock_is_temporal: MagicMock,
-    mock_find_dataset: MagicMock,
-    config: ChartConfig,
-) -> None:
-    mock_find_dataset.return_value = SimpleNamespace(main_dttm_col="order_date")
-    mock_is_temporal.return_value = False
-
-    form_data = map_config_to_form_data(config, dataset_id=42)
-
-    assert "adhoc_filters" not in form_data
-    mock_find_dataset.assert_not_called()
-
-
-@patch("superset.daos.dataset.DatasetDAO.find_by_id_or_uuid")
-def test_dataset_without_main_temporal_column_remains_unbound(
-    mock_find_dataset: MagicMock,
-) -> None:
-    mock_find_dataset.return_value = SimpleNamespace(main_dttm_col=None)
-
-    form_data = map_config_to_form_data(
-        TableChartConfig(columns=[CATEGORY, METRIC]),
-        dataset_id=42,
-    )
-
-    assert "adhoc_filters" not in form_data
-
-
-@patch(
-    "superset.mcp_service.chart.chart_utils.is_column_truly_temporal",
-    return_value=True,
-)
-def test_explicit_temporal_column_binds_alongside_different_temporal_filter(
-    mock_is_temporal: MagicMock,
-) -> None:
-    form_data = {
-        "adhoc_filters": [
-            {
-                "clause": "WHERE",
-                "comparator": "Last year",
-                "expressionType": "SIMPLE",
-                "operator": "TEMPORAL_RANGE",
-                "subject": "processed_at",
-            }
-        ]
-    }
-    config = TableChartConfig(
-        columns=[CATEGORY, METRIC],
-        temporal_column="created_at",
-    )
-
-    _bind_dashboard_time_range_filter(form_data, config, dataset_id=42)
-
-    assert [filter_["subject"] for filter_ in form_data["adhoc_filters"]] == [
-        "processed_at",
-        "created_at",
-    ]
-
-
-@patch("superset.daos.dataset.DatasetDAO.find_by_id_or_uuid")
-@patch(
-    "superset.mcp_service.chart.chart_utils.is_column_truly_temporal",
-    return_value=True,
-)
-def test_dashboard_time_range_updates_generated_filter(
-    mock_is_temporal: MagicMock,
-    mock_find_dataset: MagicMock,
-) -> None:
-    mock_find_dataset.return_value = SimpleNamespace(main_dttm_col="order_date")
-    form_data = map_config_to_form_data(
-        TableChartConfig(columns=[CATEGORY, METRIC]),
-        dataset_id=42,
-    )
-    form_data["extra_form_data"] = {"time_range": "Last week"}
-
-    merge_extra_form_data(form_data)
-
-    assert form_data["adhoc_filters"][0]["subject"] == "order_date"
-    assert form_data["adhoc_filters"][0]["comparator"] == "Last week"
-    assert adhoc_filters_to_query_filters(form_data["adhoc_filters"]) == [
-        {
-            "col": "order_date",
-            "op": "TEMPORAL_RANGE",
-            "val": "Last week",
-        }
-    ]
-
-
-def test_temporal_column_is_included_in_dataset_validation() -> None:
-    config = TableChartConfig(
-        columns=[CATEGORY, METRIC],
-        temporal_column="created_at",
-    )
-
-    refs = DatasetValidator._extract_column_references(config)
-
-    assert [ref.name for ref in refs].count("created_at") == 1
-
-
-def test_dataset_validation_rejects_non_temporal_time_column() -> None:
-    config = TableChartConfig(
-        columns=[CATEGORY, METRIC],
-        temporal_column="fiscal_year",
-    )
-    dataset_context = DatasetContext(
-        id=42,
-        table_name="orders",
-        schema="public",
-        database_name="examples",
-        available_columns=[
-            {"name": "region", "type": "VARCHAR", "is_temporal": False},
-            {"name": "revenue", "type": "NUMERIC", "is_temporal": False},
-            {"name": "fiscal_year", "type": "INTEGER", "is_temporal": False},
-        ],
-        available_metrics=[],
-    )
-
-    is_valid, error = DatasetValidator.validate_against_dataset(
-        config,
-        dataset_id=42,
-        dataset_context=dataset_context,
-    )
-
-    assert not is_valid
-    assert error is not None
-    assert error.error_code == "NON_TEMPORAL_COLUMN"
-    assert "fiscal_year" in error.message
-
-
-def test_dataset_validation_rejects_missing_explicit_time_column() -> None:
-    config = TableChartConfig(
-        columns=[CATEGORY, METRIC],
-        temporal_column="missing_at",
-    )
-    dataset_context = DatasetContext(
-        id=42,
-        table_name="orders",
-        schema="public",
-        database_name="examples",
-        available_columns=[
-            {"name": "region", "type": "VARCHAR", "is_temporal": False},
-            {"name": "revenue", "type": "NUMERIC", "is_temporal": False},
-        ],
-        available_metrics=[],
-    )
-
-    is_valid, error = DatasetValidator.validate_against_dataset(
-        config, dataset_id=42, dataset_context=dataset_context
-    )
-
-    assert not is_valid
-    assert error is not None
-    assert error.error_code == "MISSING_TEMPORAL_COLUMN"
-
-
-def test_saved_metric_name_does_not_hide_explicit_temporal_column_reference() -> None:
-    config = BigNumberChartConfig(
-        chart_type="big_number",
-        metric=ColumnRef(name="created_at", saved_metric=True),
-        temporal_column="created_at",
-    )
-
-    refs = DatasetValidator._extract_column_references(config)
-
-    assert [(ref.name, ref.saved_metric) for ref in refs] == [
-        ("created_at", True),
-        ("created_at", False),
-    ]
-
-
-def test_dataset_context_uses_binding_temporal_predicate() -> None:
-    engine_spec = MagicMock()
-    engine_spec.get_column_spec.return_value = SimpleNamespace(
-        generic_type=GenericDataType.NUMERIC
-    )
-    column = SimpleNamespace(
-        column_name="fiscal_year",
-        type="INTEGER",
-        is_dttm=True,
-        is_temporal=True,
-        is_numeric=True,
-        python_date_format=None,
-    )
-    dataset = SimpleNamespace(
-        id=42,
-        table_name="orders",
-        schema="public",
-        columns=[column],
-        metrics=[],
-        database=SimpleNamespace(database_name="examples", db_engine_spec=engine_spec),
-    )
-
-    context = build_dataset_context_from_orm(dataset)
-
-    assert context is not None
-    assert context.available_columns[0]["is_temporal"] is False
-
-
-@pytest.mark.parametrize(
-    "config",
-    [
-        TableChartConfig(
-            columns=[CATEGORY, METRIC],
-            temporal_column="created_at",
-        ),
-        BigNumberChartConfig(
-            chart_type="big_number",
-            metric=METRIC,
-            temporal_column="created_at",
-        ),
-    ],
-)
-def test_temporal_column_is_normalized_to_dataset_casing(
-    config: ChartConfig,
-) -> None:
-    dataset_context = DatasetContext(
-        id=42,
-        table_name="orders",
-        schema="public",
-        database_name="examples",
-        available_columns=[
-            {"name": "region", "type": "VARCHAR"},
-            {"name": "revenue", "type": "NUMERIC"},
-            {"name": "Created_At", "type": "TIMESTAMP"},
-        ],
-        available_metrics=[],
-    )
-
-    normalized = DatasetValidator.normalize_column_names(
-        config,
-        dataset_id=42,
-        dataset_context=dataset_context,
-    )
-
-    assert normalized.temporal_column == "Created_At"
@@ -475,8 +475,7 @@ class _DetachableSlice:

 async def _generate_saved_chart(
    refetch: Any,
-    compile_result: CompileResult | None = None,
-) -> tuple[Any, _DetachableSlice, Mock]:
+) -> tuple[Any, _DetachableSlice]:
    """Run generate_chart(save_chart=True) with a chart that detaches on commit.

    ``refetch`` is used as the ``ChartDAO.find_by_id`` behaviour of the
@@ -504,7 +503,6 @@ async def _generate_saved_chart(
    # The instance is detached right after the commit, before any of the reads
    # that build the response.
    session.refresh.side_effect = lambda _chart: chart.detach()
-    create_command = Mock(return_value=Mock(run=Mock(return_value=chart)))

    with (
        patch(
@@ -526,12 +524,12 @@ async def _generate_saved_chart(
        patch("superset.mcp_service.auth.has_dataset_access", return_value=True),
        patch(
            "superset.commands.chart.create.CreateChartCommand",
-            create_command,
+            return_value=Mock(run=Mock(return_value=chart)),
        ),
        patch("superset.db.session", session),
        patch(
            "superset.mcp_service.chart.tool.generate_chart._compile_chart",
-            return_value=compile_result or CompileResult(success=True, warnings=[]),
+            return_value=CompileResult(success=True, warnings=[]),
        ),
        patch("superset.daos.chart.ChartDAO", Mock(find_by_id=refetch)),
        patch(
@@ -545,7 +543,7 @@ async def _generate_saved_chart(
    ):
        result = await generate_chart(request, ctx=ctx)

-    return result, chart, create_command
+    return result, chart


 class TestGenerateChartDetachedInstance:
@@ -562,7 +560,7 @@ class TestGenerateChartDetachedInstance:
        """A detached instance no longer turns a committed chart into an error."""
        refetched = _make_mock_chart()

-        result, chart, _create_command = await _generate_saved_chart(
+        result, chart = await _generate_saved_chart(
            refetch=Mock(return_value=refetched)
        )

@@ -577,7 +575,7 @@ class TestGenerateChartDetachedInstance:
    @pytest.mark.asyncio
    async def test_detached_chart_falls_back_to_captured_scalars(self) -> None:
        """The minimal fallback response never reads the detached instance."""
-        result, chart, _create_command = await _generate_saved_chart(
+        result, chart = await _generate_saved_chart(
            refetch=Mock(side_effect=SQLAlchemyError("session is gone"))
        )

@@ -589,25 +587,6 @@ class TestGenerateChartDetachedInstance:
        assert result.chart.slice_name == "Concurrent chart"
        assert result.chart.viz_type == "table"

-    @pytest.mark.asyncio
-    async def test_compile_failure_does_not_create_a_chart(self) -> None:
-        result, chart, create_command = await _generate_saved_chart(
-            refetch=Mock(),
-            compile_result=CompileResult(
-                success=False,
-                error="column category must appear in GROUP BY",
-                error_code="CHART_COMPILE_FAILED",
-                tier="compile",
-                warnings=["Database returned partial metadata"],
-            ),
-        )
-
-        assert result.success is False
-        assert result.chart is None
-        assert result.warnings == ["Database returned partial metadata"]
-        assert chart._detached is False
-        create_command.assert_not_called()
-

 class TestChartSerializationEagerLoading:
    """Tests for eager loading fix in generate_chart serialization path."""
@@ -23,19 +23,16 @@ import importlib
 from contextlib import nullcontext
 from types import SimpleNamespace
 from typing import Any
-from unittest.mock import MagicMock

 import pytest

 from superset.mcp_service.chart.schemas import (
    ChartData,
-    ChartError,
    DataColumn,
    GetChartDataRequest,
    PerformanceMetadata,
 )
 from superset.mcp_service.chart.tool.get_chart_data import (
-    _build_query_results,
    _coerce_row_limit,
    _GENERIC_TYPE_MAP,
    _MAX_RECOMMENDATIONS,
@@ -135,37 +132,6 @@ def _extract_metrics_and_groupby(
    return metrics, groupby_columns


-def test_query_context_form_data_supports_request_dependent_jinja_macros() -> None:
-    """Chart queries expose filters, URL parameters, and the datasource to Jinja."""
-    from flask import current_app
-
-    from superset.charts.data.form_data import set_query_context_form_data
-    from superset.common.query_object import QueryObject
-    from superset.jinja_context import ExtraCache, get_dataset_id_from_context
-
-    query = QueryObject(
-        filters=[{"col": "region", "op": "IN", "val": ["North"]}],
-        time_range="Last week",
-    )
-    query_context: Any = SimpleNamespace(
-        queries=[query],
-        form_data={"url_params": {"tenant": "acme"}},
-    )
-
-    with current_app.test_request_context():
-        set_query_context_form_data(query_context, 7, "table")
-        extra_cache = ExtraCache()
-
-        assert extra_cache.filter_values("region") == ["North"]
-        assert extra_cache.get_filters("region") == [
-            {"col": "region", "op": "IN", "val": ["North"]}
-        ]
-        assert extra_cache.url_param("tenant") == "acme"
-        assert extra_cache.get_time_filter().time_range == "Last week"
-        # metric() without an explicit dataset ID performs this lookup.
-        assert get_dataset_id_from_context("count") == 7
-
-
 class TestBigNumberChartFallback:
    """Tests for big_number chart fallback query construction."""

@@ -1081,6 +1047,7 @@ class TestChartDataCommandValidation:

        from superset.errors import ErrorLevel, SupersetError, SupersetErrorType
        from superset.exceptions import SupersetSecurityException
+        from superset.mcp_service.chart.schemas import ChartError

        security_error = SupersetSecurityException(
            SupersetError(
@@ -1411,7 +1378,7 @@ class TestOAuthErrorRouting:

        class QueryContextFactory:
            def create(self, **kwargs: Any) -> object:
-                return SimpleNamespace(queries=[], form_data={})
+                return object()

        class RaisingChartDataCommand:
            def __init__(self, query_context: object) -> None:
@@ -1711,149 +1678,14 @@ def test_bool_isinstance_check_before_int():
        (None, 500, 500),  # missing -> default
        ("", 500, 500),  # empty string -> default
        ("abc", 500, 500),  # non-numeric -> default
-        (0, 500, 500),  # non-positive zero -> default (no LIMIT 0)
-        (-1, 500, 500),  # negative -> default (no LIMIT -1 downstream)
-        ("-1", 500, 500),  # negative string -> default
+        (0, 500, 0),  # explicit zero preserved
    ],
 )
 def test_coerce_row_limit(value: Any, default: int, expected: int) -> None:
-    """_coerce_row_limit tolerates str/None and rejects non-positive row_limits."""
+    """_coerce_row_limit tolerates str/None row_limits from chart.params."""
    assert _coerce_row_limit(value, default) == expected


-def test_mixed_timeseries_preserves_both_query_results(
-    monkeypatch: pytest.MonkeyPatch,
-) -> None:
-    """Mixed Timeseries data includes both its primary and secondary queries."""
-    from superset.mcp_service.chart.chart_helpers import (
-        build_query_dicts_from_form_data,
-    )
-
-    monkeypatch.setattr(
-        "superset.mcp_service.chart.chart_helpers.resolve_datasource_engine",
-        lambda *_args: "sqlite",
-    )
-
-    form_data = {
-        "viz_type": "mixed_timeseries",
-        "metrics": ["primary_metric"],
-        "metrics_b": ["secondary_metric"],
-        "groupby": [],
-        "groupby_b": [],
-    }
-    queries = build_query_dicts_from_form_data(form_data, 1, "table")
-    assert len(queries) == 2
-
-    results = _build_query_results(
-        [
-            {"colnames": ["primary"], "data": [{"primary": 1}], "rowcount": 1},
-            {
-                "colnames": ["secondary"],
-                "data": [{"secondary": 2}],
-                "rowcount": 1,
-            },
-        ],
-        limit=None,
-    )
-
-    assert results is not None
-    assert [result.query_index for result in results] == [0, 1]
-    assert results[0].data == [{"primary": 1}]
-    assert results[1].data == [{"secondary": 2}]
-
-
-def test_single_query_chart_keeps_legacy_shape() -> None:
-    """Single-query charts do not gain a redundant query_results payload."""
-    assert (
-        _build_query_results([{"colnames": ["metric"], "data": [{"metric": 1}]}], None)
-        is None
-    )
-
-
-def test_multi_query_row_count_reflects_limit() -> None:
-    """Nested row counts describe returned rows rather than source rows."""
-    results = _build_query_results(
-        [
-            {"colnames": ["metric"], "data": [{"metric": 1}, {"metric": 2}]},
-            {"colnames": ["metric"], "data": [{"metric": 3}, {"metric": 4}]},
-        ],
-        limit=1,
-    )
-
-    assert results is not None
-    assert [result.row_count for result in results] == [1, 1]
-    assert [result.data for result in results] == [
-        [{"metric": 1}],
-        [{"metric": 3}],
-    ]
-
-
-@pytest.mark.asyncio
-async def test_unsaved_mixed_timeseries_returns_nonempty_secondary_query(
-    monkeypatch: pytest.MonkeyPatch,
-) -> None:
-    """The tool response must not collapse a multi-query command result."""
-    from unittest.mock import AsyncMock
-
-    get_data_command_module = importlib.import_module(
-        "superset.commands.chart.data.get_data_command"
-    )
-    chart_data_module = importlib.import_module(
-        "superset.mcp_service.chart.tool.get_chart_data"
-    )
-
-    class MultiQueryChartDataCommand:
-        def __init__(self, query_context: object) -> None:
-            self.query_context = query_context
-
-        def validate(self) -> None:
-            pass
-
-        def run(self) -> dict[str, Any]:
-            return {
-                "queries": [
-                    {
-                        "colnames": ["primary"],
-                        "data": [],
-                        "rowcount": 0,
-                    },
-                    {
-                        "colnames": ["secondary"],
-                        "data": [{"secondary": 2}],
-                        "rowcount": 1,
-                    },
-                ]
-            }
-
-    monkeypatch.setattr(
-        chart_data_module,
-        "build_query_context_from_form_data",
-        lambda *_args, **_kwargs: object(),
-    )
-    monkeypatch.setattr(
-        get_data_command_module, "ChartDataCommand", MultiQueryChartDataCommand
-    )
-    request = GetChartDataRequest(form_data_key="mixed-chart")
-    response = await _query_from_form_data(
-        {
-            "datasource_id": 1,
-            "datasource_type": "table",
-            "viz_type": "mixed_timeseries",
-            "row_limit": 10,
-        },
-        request,
-        AsyncMock(),
-    )
-
-    assert isinstance(response, ChartData)
-    assert response.data == []
-    assert response.query_results is not None
-    assert [result.data for result in response.query_results] == [
-        [],
-        [{"secondary": 2}],
-    ]
-
-
 def _make_chart_data(**overrides: Any) -> ChartData:
    """Build a minimal valid ChartData for testing."""
    from superset.mcp_service.common.cache_schemas import CacheStatus
@@ -1910,279 +1742,3 @@ class TestChartDataTotalRowsCoercion:
        chart_data = _make_chart_data(total_rows=5.9)
        assert chart_data.total_rows == 5
        assert isinstance(chart_data.total_rows, int)
-
-
-class TestGuestScoping:
-    """Tool-level guest coverage for get_chart_data (the highest-value guest
-    tool): the data query is pinned to the token's dashboard, the dataset
-    existence check runs without the RBAC access check, and requests that a
-    guest cannot be scoped for are denied cleanly."""
-
-    @pytest.mark.asyncio
-    async def test_guest_query_pinned_to_dashboard_with_existence_only_check(
-        self, mcp_server, mock_auth
-    ) -> None:
-        from unittest.mock import patch
-
-        from fastmcp import Client
-
-        module = importlib.import_module(
-            "superset.mcp_service.chart.tool.get_chart_data"
-        )
-        chart = SimpleNamespace(
-            id=9,
-            slice_name="Sales",
-            viz_type="table",
-            datasource_id=1,
-            datasource_type="table",
-            query_context='{"queries": []}',
-            params=None,
-        )
-        validate_calls: dict[str, Any] = {}
-
-        def fake_validate(datasource_id: Any, check_access: bool = True) -> Any:
-            validate_calls["check_access"] = check_access
-            return SimpleNamespace(is_valid=True, warnings=[], error=None)
-
-        class _Command:
-            def __init__(self, query_context: Any) -> None: ...
-            def validate(self) -> None: ...
-            def run(self) -> dict[str, Any]:
-                return {
-                    "queries": [{"data": [{"a": 1}], "colnames": ["a"], "rowcount": 1}]
-                }
-
-        mock_authorize = MagicMock()
-        with (
-            patch.object(module, "find_chart_by_identifier", return_value=chart),
-            patch.object(module, "validate_chart_dataset", side_effect=fake_validate),
-            patch.object(module.guest_scope, "is_guest_read", return_value=True),
-            patch.object(module.guest_scope, "guest_dashboard_id", return_value=6),
-            patch.object(module.guest_scope, "authorize_query", mock_authorize),
-            patch(
-                "superset.commands.chart.data.get_data_command.ChartDataCommand",
-                _Command,
-            ),
-            patch(
-                "superset.charts.schemas.ChartDataQueryContextSchema.load",
-                lambda self, data: object(),
-            ),
-        ):
-            async with Client(mcp_server) as client:
-                await client.call_tool(
-                    "get_chart_data", {"request": {"identifier": "9"}}
-                )
-
-        # F: the dataset existence check runs, but without the RBAC access check.
-        assert validate_calls["check_access"] is False
-        # Scoping: the data query is pinned to the token's dashboard, so
-        # raise_for_access authorizes against a dashboard the guest can see.
-        mock_authorize.assert_called_once()
-        assert mock_authorize.call_args.args[1] == 6
-
-    @pytest.mark.asyncio
-    async def test_guest_out_of_scope_chart_is_not_found(
-        self, mcp_server, mock_auth
-    ) -> None:
-        from unittest.mock import patch
-
-        from fastmcp import Client
-
-        from superset.utils import json
-
-        module = importlib.import_module(
-            "superset.mcp_service.chart.tool.get_chart_data"
-        )
-        # ChartFilter scopes an out-of-scope chart out, so the lookup returns None.
-        with (
-            patch.object(module, "find_chart_by_identifier", return_value=None),
-            patch.object(module.guest_scope, "is_guest_read", return_value=True),
-        ):
-            async with Client(mcp_server) as client:
-                result = await client.call_tool(
-                    "get_chart_data", {"request": {"identifier": "123"}}
-                )
-
-        data = json.loads(result.content[0].text)
-        assert data["error_type"] == "NotFound"
-
-    @pytest.mark.asyncio
-    async def test_guest_form_data_key_only_path_is_denied(
-        self, mcp_server, mock_auth
-    ) -> None:
-        from unittest.mock import patch
-
-        from fastmcp import Client
-
-        from superset.utils import json
-
-        module = importlib.import_module(
-            "superset.mcp_service.chart.tool.get_chart_data"
-        )
-        # A valid cached blob is available, so without the guest-denial branch
-        # the code would proceed to query rather than 404 on a cache miss. The
-        # NotFound here therefore pins the denial itself, not a cache miss.
-        with (
-            patch.object(module.guest_scope, "is_guest_read", return_value=True),
-            patch.object(
-                module,
-                "get_cached_form_data",
-                return_value='{"datasource_id": 1, "datasource_type": "table"}',
-            ),
-        ):
-            async with Client(mcp_server) as client:
-                result = await client.call_tool(
-                    "get_chart_data", {"request": {"form_data_key": "cached-key"}}
-                )
-
-        data = json.loads(result.content[0].text)
-        assert data["error_type"] == "NotFound"
-        assert "No accessible chart found for this request." in data["error"]
-
-    @pytest.mark.asyncio
-    async def test_guest_form_data_key_ignored_when_identifier_present(
-        self, mcp_server, mock_auth
-    ) -> None:
-        """A guest supplying identifier + form_data_key never reads the cache: the
-        cached payload could point the query at a foreign datasource, so a guest
-        always falls through to the saved chart config."""
-        from unittest.mock import patch
-
-        from fastmcp import Client
-
-        module = importlib.import_module(
-            "superset.mcp_service.chart.tool.get_chart_data"
-        )
-        chart = SimpleNamespace(
-            id=9,
-            slice_name="Sales",
-            viz_type="table",
-            datasource_id=1,
-            datasource_type="table",
-            query_context='{"queries": []}',
-            params=None,
-        )
-
-        class _Command:
-            def __init__(self, query_context: Any) -> None: ...
-            def validate(self) -> None: ...
-            def run(self) -> dict[str, Any]:
-                return {
-                    "queries": [{"data": [{"a": 1}], "colnames": ["a"], "rowcount": 1}]
-                }
-
-        cached_spy = MagicMock(
-            return_value='{"datasource_id": 999, "datasource_type": "table"}'
-        )
-        with (
-            patch.object(module, "find_chart_by_identifier", return_value=chart),
-            patch.object(
-                module,
-                "validate_chart_dataset",
-                return_value=SimpleNamespace(is_valid=True, warnings=[], error=None),
-            ),
-            patch.object(module.guest_scope, "is_guest_read", return_value=True),
-            patch.object(module.guest_scope, "guest_dashboard_id", return_value=6),
-            patch.object(module.guest_scope, "authorize_query", MagicMock()),
-            patch.object(module, "get_cached_form_data", cached_spy),
-            patch(
-                "superset.commands.chart.data.get_data_command.ChartDataCommand",
-                _Command,
-            ),
-            patch(
-                "superset.charts.schemas.ChartDataQueryContextSchema.load",
-                lambda self, data: object(),
-            ),
-        ):
-            async with Client(mcp_server) as client:
-                await client.call_tool(
-                    "get_chart_data",
-                    {"request": {"identifier": "9", "form_data_key": "foreign-key"}},
-                )
-
-        # The gate short-circuits before the cache is ever consulted for a guest.
-        cached_spy.assert_not_called()
-
-
-@pytest.mark.asyncio
-async def test_query_from_form_data_zero_row_limit_falls_back_to_default(
-    monkeypatch: pytest.MonkeyPatch,
-) -> None:
-    """A falsy int 0 hits the ``or ROW_LIMIT`` fallback and resolves to the
-    configured default before coercion runs, so the coercion leaves the cached
-    0 case unchanged."""
-    from flask import current_app
-
-    module = importlib.import_module("superset.mcp_service.chart.tool.get_chart_data")
-    captured: dict[str, Any] = {}
-
-    def fake_build(form_data: Any, **kwargs: Any) -> Any:
-        captured["row_limit"] = kwargs.get("row_limit")
-        return object()
-
-    class _Command:
-        def __init__(self, query_context: Any) -> None: ...
-        def validate(self) -> None: ...
-        def run(self) -> dict[str, Any]:
-            return {"queries": [{"data": [], "colnames": [], "rowcount": 0}]}
-
-    monkeypatch.setattr(module, "build_query_context_from_form_data", fake_build)
-    monkeypatch.setattr(
-        module,
-        "event_logger",
-        SimpleNamespace(log_context=lambda **kwargs: nullcontext()),
-    )
-    get_data_command_module = importlib.import_module(
-        "superset.commands.chart.data.get_data_command"
-    )
-    monkeypatch.setattr(get_data_command_module, "ChartDataCommand", _Command)
-
-    await _query_from_form_data(
-        {"datasource_id": 1, "datasource_type": "table", "row_limit": 0},
-        GetChartDataRequest(form_data_key="k"),
-        _AsyncContext(),
-    )
-
-    assert captured["row_limit"] == current_app.config["ROW_LIMIT"]
-    assert captured["row_limit"] != 0
-
-
-@pytest.mark.asyncio
-async def test_query_from_form_data_string_row_limit_is_coerced(
-    monkeypatch: pytest.MonkeyPatch,
-) -> None:
-    """A row_limit arriving as a str (as it can from chart.params) is coerced to
-    int before it reaches build_query_context_from_form_data (which compares it
-    against an int downstream). Deleting the _coerce_row_limit call fails this."""
-    module = importlib.import_module("superset.mcp_service.chart.tool.get_chart_data")
-    captured: dict[str, Any] = {}
-
-    def fake_build(form_data: Any, **kwargs: Any) -> Any:
-        captured["row_limit"] = kwargs.get("row_limit")
-        return object()
-
-    class _Command:
-        def __init__(self, query_context: Any) -> None: ...
-        def validate(self) -> None: ...
-        def run(self) -> dict[str, Any]:
-            return {"queries": [{"data": [], "colnames": [], "rowcount": 0}]}
-
-    monkeypatch.setattr(module, "build_query_context_from_form_data", fake_build)
-    monkeypatch.setattr(
-        module,
-        "event_logger",
-        SimpleNamespace(log_context=lambda **kwargs: nullcontext()),
-    )
-    get_data_command_module = importlib.import_module(
-        "superset.commands.chart.data.get_data_command"
-    )
-    monkeypatch.setattr(get_data_command_module, "ChartDataCommand", _Command)
-
-    await _query_from_form_data(
-        {"datasource_id": 1, "datasource_type": "table", "row_limit": "250"},
-        GetChartDataRequest(form_data_key="k"),
-        _AsyncContext(),
-    )
-
-    assert captured["row_limit"] == 250
-    assert isinstance(captured["row_limit"], int)
@@ -25,7 +25,6 @@ from unittest.mock import Mock, patch

 import pytest
 from fastmcp import Client
-from fastmcp.exceptions import ToolError

 from superset.mcp_service.app import mcp
 from superset.mcp_service.chart.schemas import (
@@ -420,42 +419,3 @@ async def test_list_charts_certified_filter(
        expected in actual
        for expected, actual in zip(expected_names, actual_names, strict=False)
    )
-
-
-@patch("superset.daos.chart.ChartDAO.list")
-@pytest.mark.asyncio
-async def test_list_charts_changed_on_delta_humanized_order_column(
-    mock_list, mcp_server
-):
-    """Regression test: order_column='changed_on_delta_humanized' is the
-    "Last modified" column name used by Superset's own REST API and list
-    views. Production chatbot calls pass it when asked to sort by "most
-    recently modified" and must not be rejected. It resolves to 'changed_on'
-    for the DAO, matching REST API sort behaviour (see
-    models/helpers.py:changed_on_delta_humanized, @renders("changed_on"))."""
-    mock_list.return_value = ([], 0)
-    async with Client(mcp_server) as client:
-        result = await client.call_tool(
-            "list_charts",
-            {"request": {"order_column": "changed_on_delta_humanized"}},
-        )
-    mock_list.assert_called_once()
-    call_args = mock_list.call_args[1]
-    assert call_args["order_column"] == "changed_on"
-    data = json.loads(result.content[0].text)
-    assert "charts" in data
-
-
-@patch("superset.daos.chart.ChartDAO.list")
-@pytest.mark.asyncio
-async def test_list_charts_invalid_order_column_raises_tool_error(
-    mock_list, mcp_server
-):
-    """A genuinely unknown order_column must still be rejected."""
-    async with Client(mcp_server) as client:
-        with pytest.raises(ToolError) as excinfo:  # noqa: PT012
-            await client.call_tool(
-                "list_charts", {"request": {"order_column": "random"}}
-            )
-        assert "Invalid order_column" in str(excinfo.value)
-    mock_list.assert_not_called()
--- a/Show More
+++ b/Show More