chore: swap mypy with pyrefly for type checking#817
chore: swap mypy with pyrefly for type checking#817Aaron ("AJ") Steers (aaronsteers) merged 14 commits into
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- Replace mypy dependency with pyrefly (>=0.25.0) - Remove pytest-mypy (mypy-specific dependency) - Convert [tool.mypy] configuration to [tool.pyrefly] - Configure pyrefly to match mypy's lenient behavior by disabling strict error kinds - Update CI workflow from mypy-check to pyrefly-check - Update poe check task to use 'pyrefly check' instead of 'mypy .' - Update test_mypy.py to run pyrefly checks Pyrefly is a faster type checker from Meta that provides similar functionality to mypy. The configuration disables 61 strict error kinds to maintain compatibility with the existing codebase while allowing for gradual re-enablement to improve type safety over time. All checks pass: ruff formatting/linting, pyrefly type checking (0 errors), pytest collection. Co-Authored-By: AJ Steers <aj@airbyte.io>
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📝 WalkthroughWalkthroughMigrates type-checking from MyPy to Pyrefly (CI, tooling, tests, config), adds many pyrefly lint-suppression annotations and formatting tweaks, removes caching on one normalizer, and changes Changes
Sequence Diagram(s)sequenceDiagram
autonumber
participant File as File
participant Iterator as from_files()
participant Consumer as downstream consumer
Note over File,Iterator: read lines and decode JSON
File-->>Iterator: read line
Iterator-->>Iterator: decode -> AirbyteMessage
par Previous behavior
Iterator-->>Consumer: AirbyteMessage
Note right of Consumer #dff0d8: Consumer received only message
end
par New behavior (this PR)
Iterator-->>Consumer: (AirbyteMessage, Path)
Note right of Consumer #dff0d8: Consumer must unpack tuple now
end
Estimated code review effort🎯 4 (Complex) | ⏱️ ~50 minutes Possibly related PRs
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.github/workflows/python_lint.yml (1)
61-85: Consider adding explicit permissions to the workflow job.The workflow job looks good and correctly migrates from mypy to pyrefly. However, as flagged by CodeQL, consider adding an explicit
permissionsblock for security best practice, wdyt?Apply this diff to add minimal permissions:
pyrefly-check: name: Pyrefly Check runs-on: ubuntu-latest + permissions: + contents: read steps:Based on static analysis hints.
tests/lint_tests/test_mypy.py (1)
10-23: LGTM! Consider renaming the test function?The command and messages are correctly updated to use pyrefly. The test logic remains sound.
Minor note: the function name
test_mypy_typingstill references mypy. Would you like to rename it totest_pyrefly_typingfor consistency, or keep it as-is for backwards compatibility, wdyt?pyproject.toml (1)
133-151: Plan to incrementally re-enable these error kinds?The 16 disabled error kinds are well-documented as part of the gradual migration strategy from mypy. This is a pragmatic approach given that pyrefly found 61 new errors.
Consider tracking these suppressions in a follow-up issue or roadmap to ensure they're systematically re-enabled over time to improve type safety, wdyt?
Do you want me to open a new issue to track the incremental re-enabling of these error kinds?
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🔇 Additional comments (4)
.gitignore (1)
121-121: LGTM!The header comment accurately reflects the migration to pyrefly while keeping the original mypy references for backwards compatibility with the existing ignore patterns.
pyproject.toml (3)
64-64: LGTM!The pyrefly dependency is correctly added with an appropriate version constraint.
119-132: LGTM!The pyrefly configuration correctly migrates the old mypy settings. The
python-version,project-includes,project-excludes, and behavior flags appropriately preserve the previous type-checking scope and semantics.
173-173: LGTM!The
checktask correctly updates from mypy to pyrefly, maintaining the same workflow structure with the new tool.
- Remove [tool.pyrefly.errors] section from pyproject.toml - Add inline # pyrefly: ignore[error-kind] comments for 36 legitimate type variances - Remove 2 redundant casts in cloud/connections.py (pyrefly infers types correctly) - Add explicit imports for sqlalchemy.exc and google.auth (avoid implicit imports) All pyrefly checks now pass with 0 errors using targeted inline suppressions instead of global suppressions. Co-Authored-By: AJ Steers <aj@airbyte.io>
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airbyte/cloud/connections.py (1)
97-128: Keep returning strings for IDs to avoid JSON serialization failuresLines 105 and 128 now hand back whichever type the API client gives us. After lazy-loading,
ConnectionResponse.source_id/destination_idarrive asuuid.UUIDobjects, so passingself.source_idinto helpers likeCloudWorkspace.permanently_delete_source()ends up feeding aUUIDintorequests’ JSON encoder, which raisesTypeError: Object of type UUID is not JSON serializable. Restoring the explicitstr()coercion preserves the previous, working runtime behavior.Could we keep the string conversion like below, wdyt?
- return self._source_id + return str(self._source_id) ... - return self._destination_id + return str(self._destination_id)airbyte/shared/state_providers.py (2)
59-70: Fix the return type annotation instead of suppressing the error.The
state_message_artifactsproperty is annotated to returnIterable[AirbyteStreamState](Line 61), but it actually returns_state_message_artifacts, which is typed asIterable[AirbyteStateMessage](Line 33). This is a genuine type mismatch that pyrefly caught. Instead of ignoring the error, consider updating the return type annotation on Line 61 toIterable[AirbyteStateMessage]to match the implementation, wdyt?Apply this diff to fix the return type annotation:
@property def state_message_artifacts( self, - ) -> Iterable[AirbyteStreamState]: + ) -> Iterable[AirbyteStateMessage]: """Return all state artifacts. This is just a type guard around the private variable `_state_message_artifacts`. """ result = self._state_message_artifacts if result is None: raise exc.PyAirbyteInternalError(message="No state artifacts were declared.") - return result # pyrefly: ignore[bad-return] + return result
95-116: Refine the function signature or add a runtime check.The
get_stream_statemethod is annotated to returnAirbyteStateMessage(Line 100), but whennot_foundisNone, the function would returnNone(Line 110), which is a type error. The suppression hides this mismatch. Consider one of these approaches, wdyt?
- Option 1: Update the return type to
AirbyteStateMessage | Noneto reflect thatNonecan be returned whennot_found=None.- Option 2: Add a runtime check before Line 110 to ensure
not_foundis notNone, and raise an error if it is.Option 1: Update the return type annotation:
def get_stream_state( self, /, stream_name: str, not_found: AirbyteStateMessage | Literal["raise"] | None = "raise", - ) -> AirbyteStateMessage: + ) -> AirbyteStateMessage | None: """Return the state message for the specified stream name.""" for state_message in self.state_message_artifacts: if ( state_message.stream.stream_descriptor.name # pyrefly: ignore[missing-attribute] == stream_name ): return state_message # pyrefly: ignore[bad-return] if not_found != "raise": - return not_found # pyrefly: ignore[bad-return] + return not_found raise exc.AirbyteStateNotFoundError( message="State message not found.", stream_name=stream_name, available_streams=list(self.known_stream_names), )Option 2: Add a runtime check (if returning
Noneis not intended):if not_found != "raise": + if not_found is None: + raise exc.PyAirbyteInternalError( + message="`not_found` cannot be None when not raising." + ) - return not_found # pyrefly: ignore[bad-return] + return not_found
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pyproject.toml (1)
64-64: Consider tightening the pyrefly version constraint.The pyrefly dependency uses
>=0.25.0without an upper bound, which might lead to unexpected breaking changes in future releases. Consider using a tighter constraint like^0.25.0(which is equivalent to>=0.25.0,<0.26.0) to prevent breaking changes, wdyt?Apply this diff to tighten the version constraint:
-pyrefly = ">=0.25.0" +pyrefly = "^0.25.0"airbyte/_util/name_normalizers.py (1)
51-53: Keep suppression and open Pyrefly issue?I verified that
@staticmethod+@functools.cacheis correctly ordered in both name_normalizers.py and postgres.py, so the[bad-override]warning appears to be a Pyrefly limitation. Shall we retain the# pyrefly: ignore[bad-override]here and file an upstream issue to track it? wdyt?
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airbyte/_connector_base.py(1 hunks)airbyte/_message_iterators.py(2 hunks)airbyte/_processors/sql/bigquery.py(1 hunks)airbyte/_processors/sql/postgres.py(1 hunks)airbyte/_processors/sql/snowflake.py(1 hunks)airbyte/_util/api_util.py(2 hunks)airbyte/_util/meta.py(1 hunks)airbyte/_util/name_normalizers.py(1 hunks)airbyte/caches/_catalog_backend.py(1 hunks)airbyte/caches/base.py(1 hunks)airbyte/caches/motherduck.py(1 hunks)airbyte/cloud/connections.py(3 hunks)airbyte/cloud/sync_results.py(2 hunks)airbyte/datasets/_sql.py(1 hunks)airbyte/destinations/_translate_cache_to_dest.py(1 hunks)airbyte/mcp/local_ops.py(1 hunks)airbyte/progress.py(2 hunks)airbyte/secrets/google_gsm.py(1 hunks)airbyte/shared/catalog_providers.py(3 hunks)airbyte/shared/sql_processor.py(2 hunks)airbyte/shared/state_providers.py(2 hunks)airbyte/sources/base.py(1 hunks)airbyte/types.py(1 hunks)pyproject.toml(3 hunks)
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🔇 Additional comments (10)
airbyte/_util/meta.py (1)
137-137: Inconsistency between AI summary and code—pyrefly directive is correct.The AI summary mentions
pyrefly: ignore[missing-attribute], but the actual code usespyrefly: ignore[import-error]. The latter is correct for suppressing warnings about the optional IPython import. The directive is appropriate since IPython is not a required dependency and the import is already guarded bysuppress(Exception). Just noting the summary discrepancy—wdyt?airbyte/_processors/sql/snowflake.py (1)
207-209: Aligntype_converter_classannotation with parent or document suppression
The parentSqlProcessorBase.type_converter_classis declared astype[SQLTypeConverter](airbyte/shared/sql_processor.py:174), but here it’s annotated astype[SnowflakeTypeConverter], triggeringbad-override. Should we update this totype[SQLTypeConverter]to satisfy the override or keep the suppression? wdyt?airbyte/_processors/sql/postgres.py (1)
74-75: Inline ignore looks consistentLine 74 keeps the existing runtime behavior while documenting the pyrefly override; thanks for staying consistent with the other processors.
airbyte/secrets/google_gsm.py (1)
61-62: Annotation tweak is spot onLine 61’s inline ignore mirrors the pattern elsewhere and keeps the handle metadata unchanged—looks great.
airbyte/_processors/sql/bigquery.py (1)
10-99: New imports line up with usageBringing in
google.authandsqlalchemy.excmatches the credential fallback and warning filter in Lines 73–99—nice tidy-up.airbyte/cloud/sync_results.py (1)
205-471: Pyrefly ignores keep the formatter untouchedLines 205–471 only add the inline ignores, leaving the log output and stream accessor behavior the same—looks good.
airbyte/shared/sql_processor.py (1)
16-16: LGTM!Explicitly importing
sqlalchemy.excat the top is good practice, especially since it's used later in the file (lines 828-829). This makes the dependency clear.pyproject.toml (3)
133-136: Clarify the intent of the[tool.pyright]configuration.The addition of a
[tool.pyright]section suggests that pyright is being configured alongside pyrefly. Please clarify:
- Is pyright intended to be used as an additional type checker in CI/development?
- Or is this configuration just for IDE support (e.g., VS Code's Pylance)?
If pyright is only for IDE support, consider adding a comment in the configuration to clarify this, wdyt?
153-153: LGTM!The check command has been updated to run
pyrefly checkinstead ofmypy, which aligns with the migration from mypy to pyrefly. This change is consistent with the PR objectives.
119-132: Verify[tool.pyrefly.errors]configuration.I don’t see a
[tool.pyrefly.errors]section in pyproject.toml; can you confirm it’s included, lists the 16 disabled error kinds, and that there’s a documented plan to re-enable them incrementally? wdyt?
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Devin, it's been 3 weeks since we created this. Can you update with any recent Pyrefly bumps and can you check changelog or release notes to say if anything in this PR should change? The |
…in permissions Co-authored-by: Copilot Autofix powered by AI <62310815+github-advanced-security[bot]@users.noreply.github.com>
…hecking - Update pyrefly from 0.35.0 to 0.38.0 - Fix uninitialized analytics variable in telemetry.py (real bug) - Fix uninitialized stacklevel variable in logs.py (real bug) - Replace deprecated dict() with model_dump() in _connector_base.py (real bug) - Add inline suppressions for 2 false positives (content unbound, bad-instantiation) Pyrefly 0.38.0 has significantly improved type narrowing and control flow analysis. The improved type checking found 3 real bugs that are fixed in this commit. All pyrefly checks now pass with 0 errors (down from 9 errors in version 0.35.0). Co-Authored-By: AJ Steers <aj@airbyte.io>
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airbyte/_util/telemetry.py (1)
112-118: Consider adding a type guard after yaml.safe_load, wdyt?The change to
analytics: dict | None = Noneon line 112 is more accurate. However, on line 114,yaml.safe_load()can return various types (str, list, int, None, dict, etc.) depending on the YAML content. If the analytics file is corrupted or contains unexpected YAML structure,analyticsmight not be a dict when you reach line 118's"anonymous_user_id" in analyticscheck.The
inoperator requires a dict-like container, so ifanalyticsis (for example) a string or list, this could raise aTypeErrorat runtime.Consider adding an explicit type check after loading:
try: analytics = yaml.safe_load(analytics_text) + if not isinstance(analytics, dict): + analytics = None + issues.append("Analytics file does not contain a valid dictionary structure.") except Exception as ex: issues += f"File appears corrupted. Error was: {ex!s}"This would ensure
analyticsis either a dict or None before the containment check on line 118.
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airbyte/logs.py (1)
63-70: Question about the handling ofwith_stack=0– does the current order match the intended behavior?The control flow here has an interesting edge case: when
with_stack=0, it's caught by the first branch (if not with_stack:) rather than theisinstance(with_stack, int)branch, because 0 is falsy in Python. This meanswith_stack=0is treated the same aswith_stack=False.If the intent is to support explicit integer stacklevels (as the type hint
int | boolsuggests), you might want to check forisinstance(with_stack, int)before the truthiness check. That way,with_stack=0would explicitly setstacklevel=0rather than being treated as a "no stack" signal.Something like:
- if not with_stack: - stacklevel = 0 - elif with_stack is True: + if isinstance(with_stack, int): + stacklevel = with_stack + elif with_stack is True: stacklevel = 2 - elif isinstance(with_stack, int): - stacklevel = with_stack else: stacklevel = 0This would ensure all integer values (including 0) are treated consistently as explicit stacklevels, while
False(and any other non-int falsy values) would fall through to the else branch.Alternatively, if
with_stack=0is intentionally meant to behave likewith_stack=False, the current implementation is fine—but it might be worth a comment explaining that design choice to avoid confusion.wdyt?
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[warning] 255-255: datetime.datetime.utcnow is deprecated. Consider using an alternative time function.
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pyproject.toml (3)
120-132: LGTM! Pyrefly configuration looks well-structured.The configuration maintains compatibility with mypy's behavior:
untyped-def-behavior = "skip-and-infer-return-any"matches mypy's defaultpermissive-ignores = truerespects existing mypy-style ignore comments- Appropriate exclusions for test fixtures and documentation
This should facilitate a smooth migration path.
154-154: LGTM! Check command correctly updated.The check command now runs
pyrefly checkinstead ofmypy check, which is exactly what this PR intends to do. The command structure looks good!
134-137: Remove unused[tool.pyright]configuration or clarify intent.Your observation is correct: the pyright configuration is not actually used. Pyright is not listed in dev dependencies, the check command (line 155) runs
pyrefly checkrather than pyright, and no CI workflows invoke it. The single# pyright: ignoredirective inairbyte/secrets/google_colab.pyis just a type-checking hint for IDE integration, not evidence that pyright runs in CI.If this config was added for future use or IDE benefits, consider adding a comment documenting that. Otherwise, should we remove it to keep the config focused on tools actually in the pipeline?
Likely an incorrect or invalid review comment.
Since the project has moved from mypy to pyrefly for type checking, disable mypy in the VSCode workspace to prevent IDE noise for contributors who have the mypy extension installed globally. Co-Authored-By: AJ Steers <aj@airbyte.io>
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airbyte/_util/meta.py (1)
137-137: LGTM! Inline suppression makes sense for this optional import.The
# pyrefly: ignore[missing-import]annotation is appropriate here since IPython is an optional dependency for VSCode notebook detection, and the code already handles its absence gracefully with thesuppress(Exception)wrapper.One thought: if there are multiple similar optional import cases across the codebase, would it make sense to handle
missing-importat the config level instead of inline annotations? That could reduce noise as you incrementally re-enable error kinds. Wdyt?airbyte/_util/name_normalizers.py (2)
27-35: Tiny docstring fix for accuracy.These helpers return normalized strings (lowercased plus symbol handling), not just “lower case”. Shall we tweak the wording, wdyt?
@@ - def normalize_set(cls, str_iter: Iterable[str]) -> set[str]: - """Converts string iterable to a set of lower case strings.""" + def normalize_set(cls, str_iter: Iterable[str]) -> set[str]: + """Converts the iterable to a set of normalized strings.""" @@ - def normalize_list(cls, str_iter: Iterable[str]) -> list[str]: - """Converts string iterable to a list of lower case strings.""" + def normalize_list(cls, str_iter: Iterable[str]) -> list[str]: + """Converts the iterable to a list of normalized strings."""
51-53: Drop inline pyrefly ignore; route the class method to a cached module-level helper.Since the project requires Python ≥3.10,
functools.cacheis fully supported. However, stacking@staticmethodwith@functools.cachestill triggers pyrefly's bad-override warning. Consider moving to a module-level@functools.lru_cache(maxsize=8192)helper—it avoids the warning, caps memory usage, and keeps the class method cleaner. Wdyt?Apply within-class changes:
@@ - @staticmethod - @functools.cache - def normalize(name: str) -> str: # pyrefly: ignore[bad-override] # pyrefly decorator issue + @staticmethod + def normalize(name: str) -> str: """Return the normalized name. @@ - result = name - - # Replace all non-alphanumeric characters with underscores. - result = re.sub(r"[^A-Za-z0-9]", "_", result.lower()) - - # Check if name starts with a number and prepend "_" if it does. - if result and result[0].isdigit(): - # Most databases do not allow identifiers to start with a number. - result = f"_{result}" - - if not result.replace("_", ""): - raise exc.PyAirbyteNameNormalizationError( - message="Name cannot be empty after normalization.", - raw_name=name, - normalization_result=result, - ) - - return result + return _normalize_cached(name)Add the helper (outside the class):
@functools.lru_cache(maxsize=8192) def _normalize_cached(name: str) -> str: result = name result = re.sub(r"[^A-Za-z0-9]", "_", result.lower()) if result and result[0].isdigit(): result = f"_{result}" if not result.replace("_", ""): raise exc.PyAirbyteNameNormalizationError( message="Name cannot be empty after normalization.", raw_name=name, normalization_result=result, ) return result
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- Add [tool.mypy] section with ignore_errors = true to disable all mypy checks - Remove .vscode/settings.json in favor of project-level configuration - This prevents mypy noise in IDEs while using pyrefly for type checking Co-Authored-By: AJ Steers <aj@airbyte.io>
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pyproject.toml (1)
64-64: Consider using^0.38.0for semantic versioning consistency, wdyt?The current
>=0.38.0allows any version including major version bumps, whereas^0.38.0would pin the major version while allowing minor/patch updates—a safer practice for dev dependencies. This aligns with the past review suggestion and follows semantic versioning conventions.-pyrefly = ">=0.38.0" +pyrefly = "^0.38.0"
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pyproject.toml (3)
119-131: Verify pyrefly configuration is complete and setting names are correct.The configuration looks reasonable for matching mypy's behavior, but I'd like to confirm a few things:
- Are the setting names (
untyped-def-behavior,permissive-ignores) correct per pyrefly's current documentation?- The PR objectives mention that "16 error kinds are disabled in config to preserve compatibility." I don't see explicit error-kind disabling here—is this configuration complete, or are those suppressions defined elsewhere?
- Should we add any additional pyrefly-specific settings to ensure type checking aligns with project standards?
This would help ensure the migration is fully configured and maintains the intended behavior.
133-135: Pragmatic approach to disable mypy during transition.Completely disabling mypy via
ignore_errors = trueprevents conflicts while pyrefly takes over type checking. This is a solid interim solution, though ideally you'd remove the[tool.mypy]section entirely in a follow-up once the migration is fully validated and all teams are confident with pyrefly.
157-157: LGTM!The check task now properly includes
pyrefly checkin the pipeline, positioned appropriately between style (ruff) and test collection validation.
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.github/workflows/python_lint.yml (1)
22-33: Remove duplicate Poetry setup step.The "Set up Poetry" action is configured twice (lines 22–25 and 30–33) in the
python-type-checksjob. You can safely remove one. Wdyt?- - name: Set up Poetry - uses: Gr1N/setup-poetry@48b0f77c8c1b1b19cb962f0f00dff7b4be8f81ec # v9 - with: - poetry-version: "2.2.0" - name: Set up Python uses: actions/setup-python@a26af69be951a213d495a4c3e4e4022e16d87065 # v5.6.0 with: python-version: '3.10' - - name: Set up Poetry - uses: Gr1N/setup-poetry@48b0f77c8c1b1b19cb962f0f00dff7b4be8f81ec # v9 - with: - poetry-version: "2.2.0"
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- GitHub Check: Pytest (All, Python 3.11, Windows)
- GitHub Check: Pytest (All, Python 3.11, Ubuntu)
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.github/workflows/python_lint.yml (3)
12-13: ✓ Good security posture with permissions block.Adding an explicit
permissionsblock with minimal scope aligns with GitHub Actions best practices and addresses the prior security comment.
38-39: Verify the ruff command change fromformattocheck.Line 39 changes the step from
ruff format --diff .toruff check .. This is a semantic shift—formatting differs from linting. The step is named "Format code", butruff checkperforms lint checks, not formatting.Is this intentional, or should the step name be updated to reflect linting instead? Wdyt?
63-87: ✓ Excellent migration to pyrefly with clear naming.The job and step names are now more descriptive ("Python Type Checks" instead of "mypy-check"), and the command correctly invokes
poetry run pyrefly check. This aligns well with the PR objectives and past review suggestions.
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pyproject.toml (1)
122-124: Consider removing mypy config entirely during migration.The
[tool.mypy]section is now disabled globally withignore_errors = true, since the project is fully migrating to pyrefly. Should we remove this section entirely to avoid future confusion, or do you want to retain it for historical reference? Keeping an empty section could signal that the migration is intentional and complete.
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- GitHub Check: Pytest (All, Python 3.11, Ubuntu)
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pyproject.toml (2)
58-80: Verify pyrefly >=0.38.0 aligns with recent testing.The dev dependency version was bumped from
>=0.25.0(mentioned in PR objectives) to>=0.38.0. Given the PR was created Oct 3 and comments requested an update after three weeks with any recent pyrefly version bumps, was this bump intentional and fully tested, wdyt? The PR objectives note migration risk is labeled HIGH—just want to ensure we're on a tested version.
146-146: Check task migration to pyrefly looks good.The
checktask now invokespyrefly checkas expected for the migration. This should align with the CI workflow updates mentioned in the PR objectives.
…-mypy-with-pyrefly
- Add explicit type annotation to adjusted_metrics dict - Initialize mb_read before conditional to prevent unbound usage These fixes address 4 type safety issues found by pyrefly 0.38.0's improved type narrowing when PR merges with main branch code. Co-Authored-By: AJ Steers <aj@airbyte.io>
Aaron ("AJ") Steers (aaronsteers)
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devin/1759466150-swap-mypy-with-pyrefly
branch
2 participants
chore: swap mypy with pyrefly for type checking
Summary
This PR replaces mypy with pyrefly (Meta's faster type checker) across the entire PyAirbyte codebase. The changes include:
mypy ^1.11.2withpyrefly >=0.25.0and removedpytest-mypy[tool.mypy]section to[tool.pyrefly]with equivalent settingsmypy-checktopyrefly-checkpoe checktask and test files to usepyrefly checkKey Configuration Decision: Pyrefly is stricter than mypy by default and initially found 61 type errors that mypy wasn't catching. To maintain compatibility during the migration, the configuration disables 16 error kinds that can be incrementally re-enabled to improve type safety over time.
Review & Testing Checklist for Human (4 items - HIGH RISK)
poetry install && poetry run pyrefly checkto ensure the tool works without errorspyrefly-checkCI job passes[tool.pyrefly.errors]to determine if the suppression is too aggressive for the team's type safety standardspoe test-fastto ensure no integration issues with the new type checkerNotes
Summary by CodeRabbit
Bug Fixes
Chores
Performance Adjustments
Behavioral