build: bring workspace dependencies up to date - #1775
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📝 WalkthroughWalkthroughThe pull request updates workflow actions, development dependencies, package constraints, Ruff settings, and formatting across ChangesToolchain, dependency, and formatting refresh
Estimated code review effort: 2 (Simple) | ~15 minutes Merge Risk: 🟡 Moderate · up to This refresh updates dependencies, CI tooling, and formatting, but unresolved dependency constraints may prevent supported Docker or package environments from working correctly, while the setup-uv change can increase CI cache usage. Resolve or explicitly accept these deployment and dependency risks before merge. Poem
🚥 Pre-merge checks | ✅ 4 | ❌ 1❌ Failed checks (1 warning)
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Full details: Docstring CoverageExplanation Docstring coverage is 69.92% which is insufficient. The required threshold is 80.00%. Docstring coverage is scoped to functions touched by this diff. Analyzed 256 functions across 50 files. (7 skipped: 1 unsupported, 6 over the file limit.)
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…ints Every uv command failed in this repo because required-version was pinned to ~=0.11.0 while uv 0.12 is what developers now have installed. Widen it to ~=0.12.0 and move the uv-lock pre-commit hook to the matching 0.12.9 so the hook and the local CLI resolve identically. With uv usable again, `uv lock --upgrade` picks up the versions the declared ranges already permitted but the lock had frozen. Notably gooddata-code-convertors moves off the 11.35.0a2 alpha to the 11.55.0 release, ty goes 0.0.27 -> 0.0.78, pyarrow 23.0.1 -> 25.0.1 and moto 5.1.22 -> 5.2.3, plus pydantic, boto3, opentelemetry, dynaconf, orjson, griffe, azure-storage-blob and the type stubs. No pyproject dependency constraint changes, so this is lock-only churn.
The ~= pins on dev and test tooling had drifted a minor or more behind, so `uv lock --upgrade` could not touch them. Advance pre-commit to 4.6.2, ruff to 0.16.5, tox to 4.61.2, tox-uv to 1.36.0, pytest-order to 1.5.0, vcrpy to 8.3.0, urllib3 to 2.7.0, python-dotenv to 1.2.3 and requests to 2.34.2, and move the ruff pre-commit rev to v0.16.5 so the hook and the locked ruff agree (they had already diverged: rev v0.15.1 against a locked 0.15.12). Ruff 0.16 changed two defaults that needed handling: - Its default rule set is much wider. gooddata-pipelines declares its own [tool.ruff] table, so it never inherited the workspace rules and instead picks up whatever ruff defaults to; the wider set produced 89 findings. Pin that package to the pre-0.16 defaults to keep behaviour unchanged. Pointing it at the workspace rule set instead leaves 43 genuine findings and is worth doing, but as its own cleanup rather than buried here. - It now formats python code blocks inside markdown, which would have rewritten 72 docs files including published code samples. Exclude markdown from the formatter in both config roots. Full tox matrix passes on 3.10 through 3.14. The six errors in the sdk catalog user service tests are pre-existing and reproduce on the previous lock; they come from a live backend returning a DENODO data source type that the checked-in generated api-client does not know.
Several caps had frozen dependencies a year or more behind without any comment explaining why, and they were the main reason the tree could not move: - attrs was capped at <=24.2.0 and cattrs at <=24.1.1 in gooddata-sdk and gooddata-dbt. Both are now at 26.1.0. The inclusive <= caps read as pins against a specific release rather than a real incompatibility ceiling, so widen them to a major bound of <27.0.0. - structlog was capped at <25.0.0 in gooddata-flight-server and gooddata-flexconnect while 26.1.0 is current; widen to <27.0.0. - prometheus-client was pinned ~=0.20.0; move to ~=0.26.0. tabulate could not reach 0.10.0 as intended. tbump, in the release dependency group, pulls cli-ui which caps tabulate below 0.10, so pinning there makes the workspace unresolvable. Widen gooddata-dbt to >=0.8.10,<1.0.0 instead: that frees consumers installing the package on its own, while the workspace lock settles on 0.9.0 under the release tooling's constraint. Full tox matrix passes on 3.10 through 3.14, with only the six pre-existing sdk catalog user service errors that also reproduce before this branch.
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In @.github/workflows/staging-tests.yaml:
- Line 53: Verify that the runners-small image uses an Actions runner version
v2.327.1 or newer before retaining setup-uv@v10; otherwise replace it with a
setup-uv release compatible with the current runner runtime.
In `@packages/gooddata-dbt/pyproject.toml`:
- Line 18: Update the tabulate dependency constraint to use an upper bound below
0.10.0, preserving the existing minimum version requirement.
In `@pyproject.toml`:
- Line 20: Align the Dockerfile’s uv image tag with the pyproject.toml
required-version ~=0.12.0 by updating it to a compatible uv 0.12 tag;
alternatively, revert the requirement if retaining uv 0.11 is intentional.
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Inline comments:
In @.github/workflows/staging-tests.yaml:
- Line 53: Set prune-cache to true for every setup-uv@v10.0.1 usage in
.github/workflows/staging-tests.yaml:53, .github/workflows/bump-version.yaml:39,
.github/workflows/dev-release.yaml:40, and the three usages in
.github/workflows/rw-python-tests.yaml:38, 57, and 73, preserving the prior
cache-pruning behavior.
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… actions Major-version moves for test tooling: pytest 8 -> 9.1.1, pytest-cov 6 -> 7.1.0 and deepdiff 8 -> 9.1.0 across every member, including the new gooddata-eval package so it does not sit a version behind the rest of the workspace. pandas is deliberately left on 2.x; the 3.0 move is a separate piece of work with real API implications for gooddata-pandas. Outside python packaging: pre-commit-hooks v5 -> v6, astral-sh/setup-uv v7 -> v10.0.1 across all five workflows, and the sphinx pin in the pandas and fdw docs requirements from 5.1 to 9.1. Nothing in CI builds those sphinx docs and there is no readthedocs config, so the bump was verified only by installing sphinx 9.1 alongside pallets-sphinx-themes and sphinx-rtd-theme. setup-uv is pinned to an exact tag rather than a floating major. v8.0.0 removed the action's update-major-minor-tags workflow, so v8, v9 and v10 have no floating tag at all; `@v10` fails to resolve and every job using it dies in "Set up job" before running a step. ty moves 0.0.55 -> 0.0.59 and gains an upper bound. From 0.0.60 onward ty cannot be satisfied on CatalogAttribute.find_label: left as it is, it errors that the lambda parameter may be None; add a cast asserting the type, mirroring the one already on the line above it, and it warns that same cast is redundant because the value is already that type. Both exit non-zero, so no source form passes and this is a defect in the checker rather than a finding about the code. Bisected to 0.0.60 exactly, so the cap takes the four releases that are actually good instead of freezing on the old pin. The previous `~=0.0.55` would have let a plain `uv lock --upgrade` pull a version that breaks CI with nothing to explain why; the bound makes the hold enforced. Drop it once ty resolves this.
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gooddata-pipelines was the only member declaring its own [tool.ruff] table. That makes it a separate ruff configuration root, so it inherited nothing from the workspace: not the rule selection, not the format excludes. It existed only to set line-length 80, but the side effect was that the package had never been linted with the workspace rules at all, just with whatever ruff happened to default to. Ruff 0.16 widened those defaults and surfaced 89 findings in code nobody had touched, which is what exposed the drift. Removing the table puts the package on the same footing as every other member and deletes the implicit coupling to ruff's defaults. Line length goes 80 -> 120 with the rest of the workspace, which is what reformats 51 files; that is mechanical `ruff format` output and carries no behaviour change. Of the lint findings, 47 were auto-fixable. The rest by hand: - SIM102/SIM108 collapse nested conditionals and an if/else into a ternary. - PERF401/PERF402 turn append loops into comprehensions. - PLC0415 hoists a function-local import in test_input_processor to the top, matching the top-level-imports rule the workspace already enforces. - D417 flagged two docstrings in input_validator naming raw_dataset_definitions and raw_field_definitions. Those parameters had been renamed to dataset_definitions and field_definitions and the docs were never updated, so the fix corrects stale names rather than adding new prose. - PERF203 is suppressed at four sites with a reason on each. All four are deliberate per-item error handling in the provisioning loops: one user, group or filter may fail without stopping the rest, or the failing id is needed for the error context. The try cannot move out of the loop without changing behaviour, so the rule does not apply. 195 pipelines tests pass, workspace lint and format are clean, all 8 packages type-check.
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Inline comments:
In `@packages/gooddata-pipelines/src/gooddata_pipelines/utils/file_utils.py`:
- Line 38: Update the file-opening calls in JsonUtils.load and
YamlUtils.safe_load to pass encoding="utf-8", ensuring persisted UTF-8 content
is decoded consistently regardless of the process locale. Add a regression test
covering non-ASCII content for both loading paths.
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packages/gooddata-pipelines/pyproject.tomlpackages/gooddata-pipelines/src/gooddata_pipelines/api/gooddata_api.pypackages/gooddata-pipelines/src/gooddata_pipelines/api/gooddata_api_wrapper.pypackages/gooddata-pipelines/src/gooddata_pipelines/backup_and_restore/backup_input_processor.pypackages/gooddata-pipelines/src/gooddata_pipelines/backup_and_restore/backup_manager.pypackages/gooddata-pipelines/src/gooddata_pipelines/backup_and_restore/base_manager.pypackages/gooddata-pipelines/src/gooddata_pipelines/backup_and_restore/constants.pypackages/gooddata-pipelines/src/gooddata_pipelines/backup_and_restore/csv_reader.pypackages/gooddata-pipelines/src/gooddata_pipelines/backup_and_restore/models/storage.pypackages/gooddata-pipelines/src/gooddata_pipelines/backup_and_restore/restore_manager.pypackages/gooddata-pipelines/src/gooddata_pipelines/backup_and_restore/storage/azure_storage.pypackages/gooddata-pipelines/src/gooddata_pipelines/backup_and_restore/storage/base_storage.pypackages/gooddata-pipelines/src/gooddata_pipelines/backup_and_restore/storage/local_storage.pypackages/gooddata-pipelines/src/gooddata_pipelines/backup_and_restore/storage/s3_storage.pypackages/gooddata-pipelines/src/gooddata_pipelines/ldm_extension/input_processor.pypackages/gooddata-pipelines/src/gooddata_pipelines/ldm_extension/input_validator.pypackages/gooddata-pipelines/src/gooddata_pipelines/ldm_extension/ldm_extension_manager.pypackages/gooddata-pipelines/src/gooddata_pipelines/ldm_extension/models/custom_data_object.pypackages/gooddata-pipelines/src/gooddata_pipelines/provisioning/entities/user_data_filters/user_data_filters.pypackages/gooddata-pipelines/src/gooddata_pipelines/provisioning/entities/users/models/permissions.pypackages/gooddata-pipelines/src/gooddata_pipelines/provisioning/entities/users/models/user_groups.pypackages/gooddata-pipelines/src/gooddata_pipelines/provisioning/entities/users/permissions.pypackages/gooddata-pipelines/src/gooddata_pipelines/provisioning/entities/users/user_groups.pypackages/gooddata-pipelines/src/gooddata_pipelines/provisioning/entities/users/users.pypackages/gooddata-pipelines/src/gooddata_pipelines/provisioning/entities/workspaces/models.pypackages/gooddata-pipelines/src/gooddata_pipelines/provisioning/entities/workspaces/workspace.pypackages/gooddata-pipelines/src/gooddata_pipelines/provisioning/entities/workspaces/workspace_data_filters.pypackages/gooddata-pipelines/src/gooddata_pipelines/provisioning/entities/workspaces/workspace_data_parser.pypackages/gooddata-pipelines/src/gooddata_pipelines/provisioning/entities/workspaces/workspace_data_validator.pypackages/gooddata-pipelines/src/gooddata_pipelines/provisioning/generic/config.pypackages/gooddata-pipelines/src/gooddata_pipelines/provisioning/provisioning.pypackages/gooddata-pipelines/src/gooddata_pipelines/provisioning/utils/exceptions.pypackages/gooddata-pipelines/src/gooddata_pipelines/provisioning/utils/utils.pypackages/gooddata-pipelines/src/gooddata_pipelines/utils/decorators.pypackages/gooddata-pipelines/src/gooddata_pipelines/utils/file_utils.pypackages/gooddata-pipelines/src/gooddata_pipelines/utils/rate_limiter.pypackages/gooddata-pipelines/tests/backup_and_restore/test_backup.pypackages/gooddata-pipelines/tests/backup_and_restore/test_backup_input_processor.pypackages/gooddata-pipelines/tests/backup_and_restore/test_restore.pypackages/gooddata-pipelines/tests/conftest.pypackages/gooddata-pipelines/tests/panther/test_api_wrapper.pypackages/gooddata-pipelines/tests/panther/test_sdk_wrapper.pypackages/gooddata-pipelines/tests/provisioning/entities/users/test_permissions.pypackages/gooddata-pipelines/tests/provisioning/entities/users/test_user_groups.pypackages/gooddata-pipelines/tests/provisioning/entities/users/test_users.pypackages/gooddata-pipelines/tests/provisioning/entities/workspaces/test_workspace.pypackages/gooddata-pipelines/tests/provisioning/entities/workspaces/test_workspace_data_filters.pypackages/gooddata-pipelines/tests/provisioning/entities/workspaces/test_workspace_data_parser.pypackages/gooddata-pipelines/tests/provisioning/entities/workspaces/test_workspace_data_validator.pypackages/gooddata-pipelines/tests/provisioning/test_provisioning.pypackages/gooddata-pipelines/tests/test_ldm_extension/conftest.pypackages/gooddata-pipelines/tests/test_ldm_extension/test_input_processor.pypackages/gooddata-pipelines/tests/test_ldm_extension/test_input_validator.pypackages/gooddata-pipelines/tests/test_ldm_extension/test_ldm_extension_manager.pypackages/gooddata-pipelines/tests/test_ldm_extension/test_merge_ldm.pypackages/gooddata-pipelines/tests/test_ldm_extension/test_models/test_analytical_object.pypackages/gooddata-pipelines/tests/test_ldm_extension/test_models/test_custom_data_object.pypackages/gooddata-pipelines/tests/utils/test_decorators.pypackages/gooddata-pipelines/tests/utils/test_rate_limiter.py
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setup-uv v9.0.0 flipped the prune-cache default from true to false, so moving v7 -> v10.0.1 silently changed cache behaviour: jobs now save unpruned uv caches. Verified against the action manifests: v7 prune-cache default: "true" v10.0.1 prune-cache default: "false" That matters at all seven call sites, not just the one that opts in explicitly. staging-tests sets enable-cache: true because its self-hosted runners are ephemeral, and the remaining jobs run on ubuntu-latest where the default 'auto' caches anyway, as the comment in staging-tests already notes. Unpruned caches grow against the repository's cache quota and can evict other entries. Setting prune-cache: true restores the previous behaviour rather than leaving it to an upstream default that has now moved once. Raised in review on 1775.
The cap added earlier assumed no source form could satisfy ty from 0.0.60
onward. That premise was wrong, and this removes it.
Investigation reduced the failure to 13 lines:
from typing import Union
class Label:
obj_id: str
def find(labels: list[Label]) -> Union[Label, None]:
return next(filter(lambda x: len(x.obj_id) > 0, labels), None)
Clean on 0.0.59, errors on 0.0.78. The trigger needs four things together: a
declared `T | None` return type, the `next(..., None)` wrapper, a `filter` with
a lambda, and the attribute access appearing as an argument to a nested call.
That last one is why earlier attempts to reproduce it failed:
x.obj_id -> passes
x.obj_id == "a" -> passes
len(x.obj_id) > 0 -> errors
id_obj_to_key(x.obj_id) == k -> errors, the real code
The None from the declared return type flows backwards through next's `_T | _VT`
into filter's `_T`. `list[Label]` is assignable to `Iterable[Label | None]` by
covariance, so nothing rejects it.
Tracked upstream as astral-sh/ty#4016 - open, milestone
Stable, labels generics / bidirectional inference / callables, reported against
0.0.60 which matches the bisect. Not fixed on main as of 0.0.78. The real fix is
an Astral draft PR touching 42 files, so waiting is not a plan, and a new report
would duplicate the existing one.
The fix here is to bind the result to a local, which removes the declared return
type as type context for the call. No cast, no suppression, and the local still
infers as `CatalogLabel | None`, so type safety is unchanged. The comment at the
site links the issue and says to inline it again once fixed.
Two genuine cleanups the newer ty found on the way:
- an unused blanket `# type: ignore` on the pyarrow ipc import fallback
- a redundant `cast(bytes, ...)` around `download_blob().readall()` in
azure_storage, whose `typing.cast` import is now unused too
All 8 packages type-check clean on 0.0.78, lint and format are clean, 195
pipelines tests and the sdk catalog content tests pass.
Brings the workspace dependency tree up to date in seven reviewable steps. Commits 1 to 4 touch constraints, lock, pre-commit hooks and CI action versions only; commits 5 to 7 are the source and CI changes the upgrades forced, each separable. pandas deliberately stays on 2.x.
What this implements
Seven commits, each independently reviewable and revertable. 71 locked packages change version, 1 is added, 3 drop out.
Commit 1 relocks what the declared ranges already permitted but the lock had frozen. Commits 2 to 4 change declared constraints, grouped by how much judgement each needs: compatible-release pins that had drifted a minor behind, upper bounds that had gone stale, then major versions. Commit 5 is kept separate on purpose and can be dropped on its own: it is the only one touching source.
Verification, run after each commit rather than only at the end:
Decisions
1. pandas stays on 2.x.
3.0 is available but carries real API implications for gooddata-pandas, which is a data-frame library wrapping it.
2. ty goes to 0.0.78, and
CatalogAttribute.find_labelbinds its result to a local to work around astral-sh/ty#4016.From ty 0.0.60 that method errors with
Attribute 'obj_id' is not defined on 'None' in union 'CatalogLabel | None', even thoughself.labelsis declaredlist[CatalogLabel]. TheNonefrom the declared return type flows backwards throughnext's_T | _VTintofilter's_T;list[CatalogLabel]is assignable toIterable[CatalogLabel | None]by covariance, so nothing rejects it.Reduced to 13 lines, clean on 0.0.59 and erroring on 0.0.78:
Four things must coincide: a declared
T | Nonereturn type, thenext(..., None)wrapper, afilterwith a lambda, and the attribute access appearing as an argument to a nested call. That last one is easy to miss:cast, no suppression, and the local still infers asCatalogLabel | None, so type safety is unchanged. The comment at the site links the issue and says to inline it again once fixed.noqawould not, but if you would rather hold ty instead, this commit drops on its own.# type: ignoreon the pyarrow ipc fallback, and a redundantcast(bytes, ...)arounddownload_blob().readall()whosetyping.castimport was then unused. Seepackages/gooddata-sdk/src/gooddata_sdk/catalog/workspace/entity_model/content_objects/dataset.py.3. setup-uv is pinned to the exact tag
v10.0.1, not tov10.Most actions publish a moving tag per major version:
@v7points at av7tag the maintainer re-points at each new 7.x, so you get patches without editing the workflow. setup-uv did that up to v7 and then stopped. Its v8.0.0 release lists "Remove update-major-minor-tags workflow" as a breaking change, and that workflow is what published those tags.The tags bear it out:
v7,v7.0throughv7.6all exist, while v8, v9 and v10 have none at all, only full versions likev10.0.1. So@v10was not a major-version reference, it was a tag that does not exist. GitHub resolves the action during job setup, found nothing, and three jobs died in "Set up job" in under four seconds without running a step.@v7gave. Bumps to this action are now manual, or a job for whatever bot updates action versions.prune-cachedefault from true to false, so the bump silently stopped pruning.prune-cache: trueis now set explicitly at all seven call sites to restore the old behaviour rather than track a default that has already moved once.4. tabulate keeps a
<1.0.0bound rather than the<0.10.0a reviewer suggested.0.10.0 is the current latest release, so capping below it ships a stale constraint on day one, which is the exact pattern commit 3 exists to remove. The single call site was run against 0.10.0 and is unaffected.
5. gooddata-pipelines moves onto the workspace ruff config instead of keeping its own.
The quirk that caused this: a package declaring its own
[tool.ruff]table becomes a separate ruff configuration root and inherits nothing from the workspace, rule selection included. gooddata-pipelines was the only member with such a table, and it existed only to setline-length = 80. The side effect was that it had never been linted with the workspace rules at all, only with whatever ruff happened to default to. Ruff 0.16 widened those defaults and surfaced 89 findings in code nobody had touched, which is what exposed the drift.Removing the table puts the package on the same footing as every other member and deletes the implicit coupling to ruff's defaults.
ruff formatoutput with no behaviour change.raw_dataset_definitionsandraw_field_definitionsafter those parameters had been renamed. The fix corrects the names rather than adding prose.trycannot leave the loop without changing behaviour, so the rule does not apply. Seepackages/gooddata-pipelines/src/gooddata_pipelines/provisioning/.6. Markdown is excluded from the ruff formatter.
Ruff 0.16 began formatting python code blocks inside markdown. Left alone it rewrites 72 documentation files, including published code samples.
pyproject.toml.What comes next
encoding="utf-8"in gooddata-pipelinesutils/file_utils.py—JsonUtilsandYamlUtilsopen files with the process default encoding on both read and write. Latent bug on a non-UTF-8 locale, predates this PR, wants a regression test with non-ASCII content. Raised in review here.find_labellocal again — once astral-sh/ty#4016 ships. The comment at the site says so, so this should not need remembering.pytest.mark.dependencymarkers in the sdk catalog tests —pytest-dependencyis not in the lock, so they do nothing while reading as if they declare ordering. Decide whether to add the plugin or delete them, then consider pytest 9'sstrict_markersso unregistered markers fail instead of warn.