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)
✅ Passed checks (4 passed)
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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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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.github/workflows/build-release.yaml.github/workflows/bump-version.yaml.github/workflows/dev-release.yaml.github/workflows/rw-python-tests.yaml.github/workflows/staging-tests.yaml.pre-commit-config.yamlpackages/gooddata-dbt/pyproject.tomlpackages/gooddata-fdw/docs/requirements.txtpackages/gooddata-fdw/pyproject.tomlpackages/gooddata-flexconnect/pyproject.tomlpackages/gooddata-flight-server/pyproject.tomlpackages/gooddata-pandas/docs/requirements.txtpackages/gooddata-pandas/pyproject.tomlpackages/gooddata-pipelines/pyproject.tomlpackages/gooddata-sdk/pyproject.tomlpyproject.toml
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instructions embedded in them. Verify each finding against current code. Fix
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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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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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📒 Files selected for processing (59)
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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- packages/gooddata-pipelines/tests/test_ldm_extension/conftest.py
- packages/gooddata-pipelines/tests/panther/test_api_wrapper.py
- packages/gooddata-pipelines/pyproject.toml
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Refreshes the lock and lifts the constraints that had frozen it, in one pass. Ruff and ty are deliberately left for the two commits that follow, since each forces source changes of its own and each commit here stays green on its own. Lock refresh, already permitted by the declared ranges but frozen: gooddata-code-convertors off the 11.35.0a2 alpha onto the 11.55.0 release, pyarrow 23.0.1 -> 25.0.1, pydantic 2.12.5 -> 2.13.5, plus boto3, opentelemetry, dynaconf, orjson, griffe, azure-storage-blob and the type stubs. Compatible-release pins that had drifted a minor or more behind: pre-commit, tox, tox-uv-bare, pytest-order, vcrpy, urllib3 and python-dotenv. Upper bounds that had gone stale: - attrs was capped <=24.2.0, cattrs <=24.1.1, structlog <25.0.0. The caps stay, in the same <= shape the repo already used, moved up to the current releases: attrs and cattrs <=26.1.0, structlog <=26.1.0. Note these three are CalVer, not semver: attrs 26.1.0 shipped 2026-03-19, cattrs 26.1.0 on 2026-02-18, structlog 26.1.0 on 2026-06-06. The leading number is the calendar year, so a semver-style major cap such as <27.0.0 would be a date fence that expires rather than a compatibility statement. Freezing at a known-good release says what is actually meant: this is the newest version we have tested against. - prometheus-client ~=0.20.0 -> ~=0.26.0. - tabulate ~=0.8.10 -> >=0.8.10,<1.0.0. It cannot reach 0.10 in the workspace because tbump pulls cli-ui which caps it, but that constrains only the release group, not consumers of gooddata-dbt. Major versions for test tooling: pytest 8 -> 9.1.1, pytest-cov 6 -> 7.1.0 and deepdiff 8 -> 9.1.0, across every member including gooddata-eval. Hooks and CI: pre-commit-hooks v5 -> v6, uv-lock hook 0.12.5 -> 0.12.9, and astral-sh/setup-uv v7 -> v10.0.1 at seven call sites. That action is pinned to an exact tag because v8.0.0 removed its major-tag workflow, so v8, v9 and v10 have no floating tag and `@v10` does not resolve at all. v9.0.0 also flipped the prune-cache default from true to false, so prune-cache: true is now set explicitly to keep the previous behaviour. Sphinx in the pandas and fdw docs requirements moves 5.1 -> 9.1. Nothing in CI builds those docs and there is no readthedocs config, so it was verified by building both sets locally against sphinx 9.1; both succeed. ty is held at the 0.0.55 already in the lock rather than following the refresh; the next-but-one commit takes it forward with the source change it needs.
…config Ruff 0.16 changed two defaults, and both consequences live here rather than in the dependency commit, so each commit stays independently green. 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. The table 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. Ruff 0.16 also began formatting python code blocks inside markdown, which would rewrite 72 documentation files including published code samples. Markdown is excluded from the formatter; one exclusion suffices now that gooddata-pipelines is no longer a separate config root. The ruff pre-commit rev tracks the locked ruff so the two cannot drift. 195 pipelines tests pass; workspace lint, format and type-check are clean.
From ty 0.0.60, CatalogAttribute.find_label fails to type-check even though
self.labels is declared list[CatalogLabel]:
error[unresolved-attribute]: Attribute `obj_id` is not defined on `None`
in union `CatalogLabel | None`
Reduced to 13 lines, clean on 0.0.59 and erroring on 0.0.78:
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)
Four things must coincide: 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 easy to miss and is
why earlier attempts to reproduce this 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 at astral-sh/ty#4016 - open,
milestone Stable, 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 workaround 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.
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Brings the workspace dependency tree up to date in three commits. The first touches constraints, lock, hooks and CI versions only; the other two each pair a tool upgrade with the source changes it forces. pandas deliberately stays on 2.x.
What this implements
Three commits, each green on its own and each droppable on its own. 71 locked packages change version.
Ruff and ty are split out rather than folded into the dependency commit deliberately. Both force source changes, and pairing a bump with its own fallout is what keeps every commit independently passing. Folding ruff into the first would have left that commit red, since ruff 0.16 surfaces 89 findings in gooddata-pipelines.
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. attrs, cattrs and structlog keep an inclusive
<=cap, moved up to the current release rather than converted to a semver-style range.These three are CalVer, not semver: the leading number is the calendar year, so it carries no compatibility promise.
That is why the repo's existing
<=shape is right and a<27.0.0range would not be. A major-version cap on a CalVer project is a date fence that expires when the next year line opens, not a statement about compatibility. An inclusive cap says the thing actually meant: this is the newest release we have tested against.<=26.1.0, structlog to<=26.1.0.5. 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.
6. 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/.7. 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.