Merge remote-tracking branch 'origin/master' into remove-legacy-viz-pipeline

Routine rebase; the only conflict was package-lock.json, regenerated
via npm install against the already-cleanly-merged package.json.
Everything else (package.json, plugin-chart-partition's package.json,
superset/views/base.py, superset/views/core.py,
tests/integration_tests/security_tests.py) merged automatically.
This commit is contained in:
Claude Code
2026-08-03 10:04:50 -07:00
166 changed files with 4542 additions and 2078 deletions
+53 -4
View File
@@ -112,12 +112,61 @@ USER superset
CMD ["/app/docker/entrypoints/run-server.sh"]
```
### Adding translations to a custom image
The pattern above, a small Dockerfile that just extends `FROM apache/superset:...`, can't add
translations after the fact. By the time an official tag is published, its frontend and backend
layers have already had non-English translation files stripped out unless `BUILD_TRANSLATIONS`
was set at build time (see below), and there's no `superset/translations` source tree left in the
final image to compile from.
To get translations into your own image, you need to build from the full Superset source (a
clone or fork of this repo) rather than extend a published tag. The most efficient way to do this
is to append your customizations as one more stage at the end of the repo's own `Dockerfile`, so
Docker can reuse the cached upstream layers and only rebuild what your stage adds:
```Dockerfile
# Append this to the end of the repo's Dockerfile
# Keep this tag in sync with the branch/tag of the repo you cloned, so the
# translation files built from source match the keys the runtime expects:
FROM apache/superset:5.0.0 AS my-custom-image
USER root
# Pull the translation files out of the earlier build stages (frontend
# .json in `superset-node`, backend .mo in `python-translation-compiler`).
# Those stages' own cleanup only matches single-character extensions, so
# the source `.po` files can still be present here; strip them explicitly
# so this stage only keeps the compiled translations.
COPY --from=superset-node /app/superset/translations superset/translations
COPY --from=python-translation-compiler /app/translations_mo superset/translations
RUN find superset/translations -name '*.po' -delete
USER superset
```
Then build with:
```bash
docker build --target=my-custom-image --build-arg=BUILD_TRANSLATIONS=true -t mysuperset:5.0.0 .
```
You can combine this with the database-driver/dependency pattern above by adding your own
`RUN uv pip install ...` step before switching back to `USER superset`. See
[issue #35959](https://github.com/apache/superset/issues/35959) for the discussion this pattern
came out of, credit to the community for working it out.
## Key ARGs in Dockerfile
- `BUILD_TRANSLATIONS`: whether to build the translations into the image. For the
frontend build this tells webpack to strip out all locales other than `en` from
the `moment-timezone` library. For the backendthis skips compiling the
`*.po` translation files
- `BUILD_TRANSLATIONS`: whether to compile non-English translations into the image.
When `true`, the frontend build converts the `*.po` files to locale JSON and the
backend runs `pybabel compile` to produce `*.mo` files; both source `*.po` files
are stripped afterward either way. When `false` (the default), those compile
steps are skipped and only `en` ships. This only takes effect when building the image from source
(`docker build` against this repo's own `Dockerfile`); it has no effect on a downstream
Dockerfile that just extends an already-published tag, see
"Adding translations to a custom image" above. Note that the backend `pybabel compile`
step ignores its exit code, so a `.po` file with a compile error won't fail the build;
check the build logs for `pybabel` warnings if a locale's backend strings aren't showing up.
- `DEV_MODE`: whether to skip the frontend build, this is used by our `docker-compose` dev setup
where we mount the local volume and build using `webpack` in `--watch` mode, meaning as you
alter the code in the local file system, webpack, from within a docker image used for this