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Chore: Only import submodules at type checking level #553

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@aaronsteers aaronsteers commented Dec 7, 2024

Related to:

This PR moves all imports of submodules to their parent modules under if TYPE_CHECKING: ... conditional blocks. This seems to satisfy pdoc while not having the runtime implications or risk of circular dependency issues.

Summary by CodeRabbit

  • New Features

    • Enhanced import structure across various modules to improve performance and reduce circular dependencies by implementing conditional imports for type checking.
  • Documentation

    • Maintained and clarified documentation comments to provide context for users regarding the usage of the PyAirbyte library.
  • Bug Fixes

    • Improved compatibility with type checkers by restructuring imports without affecting runtime performance.

@aaronsteers aaronsteers marked this pull request as ready for review December 7, 2024 00:47
@aaronsteers aaronsteers enabled auto-merge (squash) December 7, 2024 00:48
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📥 Commits

Reviewing files that changed from the base of the PR and between 1e76605 and 14e23d9.

📝 Walkthrough
📝 Walkthrough

Walkthrough

The changes in this pull request focus on restructuring import statements across multiple __init__.py files in the Airbyte module. The primary modification involves adding conditional imports using TYPE_CHECKING from the typing module. This adjustment allows submodules to be imported only during type checking, thereby avoiding circular dependencies and improving runtime performance. The __all__ lists in each file remain unchanged, ensuring that the public API is consistent with the previous structure.

Changes

File Path Change Summary
airbyte/init.py Added from typing import TYPE_CHECKING. Restructured imports under if TYPE_CHECKING: block. Updated __all__ list.
airbyte/caches/init.py Added from typing import TYPE_CHECKING. Restructured imports under if TYPE_CHECKING: block. __all__ list unchanged.
airbyte/cloud/init.py Added from typing import TYPE_CHECKING. Restructured imports under if TYPE_CHECKING: block. __all__ list unchanged.
airbyte/destinations/init.py Added from typing import TYPE_CHECKING. Changed import of util to conditional import. __all__ list unchanged.
airbyte/secrets/init.py Added from typing import TYPE_CHECKING. Restructured imports under if TYPE_CHECKING: block. __all__ list unchanged.
airbyte/sources/init.py Added from typing import TYPE_CHECKING. Restructured imports for base and util under if TYPE_CHECKING: block. __all__ list unchanged.

Possibly related PRs

  • Chore: Remove import only used in TYPE_CHECKING #421: This PR involves changes to import statements in airbyte/caches/base.py, specifically moving an import to a TYPE_CHECKING block, which aligns with the main PR's focus on restructuring imports for type checking in airbyte/__init__.py.

What do you think about these related PRs? Should we keep an eye on them for consistency?


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Actionable comments posted: 0

🧹 Outside diff range and nitpick comments (4)
airbyte/cloud/__init__.py (2)

72-72: Minor: Extra blank line - wdyt about removing it?

There's an extra blank line here that could be removed to maintain consistency with other module files.


Line range hint 6-7: Great architectural approach for handling type hints! 🎉

The consistent use of TYPE_CHECKING across modules effectively solves the pdoc documentation issue while maintaining proper type hints. This approach:

  1. Prevents circular imports
  2. Reduces runtime overhead
  3. Maintains full type checking capabilities
  4. Keeps the documentation generator happy

The implementation follows Python best practices and is consistently applied across all modules.

Also applies to: 20-26

airbyte/__init__.py (2)

144-162: Nice comprehensive type checking imports! A few thoughts...

The implementation looks clean and well-documented. I noticed a few interesting points:

  1. The comment about cli causing circular imports - would it make sense to document this in a more visible place (like README or developer docs) to prevent future confusion?

  2. For the exceptions import, you've added a comment about not using 'exc' alias. Have you considered moving this to a linter configuration instead? wdyt?


126-127: Consider adding a docstring explaining the TYPE_CHECKING pattern

Since this is the main __init__.py, would it be helpful to add a brief docstring explaining why we're using TYPE_CHECKING for these imports? This could help other contributors understand the pattern. wdyt?

Also applies to: 143-144

📜 Review details

Configuration used: CodeRabbit UI
Review profile: CHILL

📥 Commits

Reviewing files that changed from the base of the PR and between 1eef889 and 1e76605.

📒 Files selected for processing (6)
  • airbyte/__init__.py (2 hunks)
  • airbyte/caches/__init__.py (2 hunks)
  • airbyte/cloud/__init__.py (1 hunks)
  • airbyte/destinations/__init__.py (1 hunks)
  • airbyte/secrets/__init__.py (2 hunks)
  • airbyte/sources/__init__.py (2 hunks)
✅ Files skipped from review due to trivial changes (1)
  • airbyte/secrets/init.py
🔇 Additional comments (4)
airbyte/sources/__init__.py (1)

20-26: LGTM! Clean implementation of TYPE_CHECKING imports 👍

The conditional imports are well-structured and the comment explaining the pdoc issue is helpful. The ruff noqa comment is appropriate here since these imports are indeed used for more than just type checking.

airbyte/caches/__init__.py (1)

17-20: LGTM! Consistent implementation with other modules 👌

The TYPE_CHECKING imports are well-organized and follow the same pattern as other modules. The comment and structure maintain consistency across the codebase.

airbyte/cloud/__init__.py (1)

67-71: LGTM! Clean implementation matching other modules 🎯

The TYPE_CHECKING implementation is consistent with other modules and maintains the same documentation pattern.

airbyte/destinations/__init__.py (1)

78-91: Consider verifying runtime usage of util module

The change to import util only during type checking looks good and aligns with the PR objective. However, could we verify that util is only used for type hints in this module? If it's used at runtime, we might need to keep a regular import as well. wdyt?

✅ Verification successful

The util module import looks correct as is

Looking at the file content, I can see that:

  1. The util module is imported normally for its functions (get_destination, get_noop_destination) which are used at runtime and exported via __all__
  2. The TYPE_CHECKING import of the entire util module is only for documentation purposes (as commented) and type hints
  3. The implementation correctly maintains both runtime functionality and type checking/documentation needs
🏁 Scripts executed

The following scripts were executed for the analysis:

Script:

#!/bin/bash
# Search for any runtime usage of util module in this file
rg -U "util\.[a-zA-Z_]+" airbyte/destinations/__init__.py

Length of output: 59


Script:

#!/bin/bash
# Let's check the entire content of the file to understand the context better
cat airbyte/destinations/__init__.py

# Also check for any imports from util module in the file
rg "from airbyte\.destinations\.util import" airbyte/destinations/__init__.py

Length of output: 3237

@aaronsteers aaronsteers changed the title chore: only import submodules at type checking level Chore: Only import submodules at type checking level Dec 7, 2024
@aaronsteers aaronsteers merged commit f001d17 into main Dec 7, 2024
18 of 19 checks passed
@aaronsteers aaronsteers deleted the aj/chore/only-import-submodules-at-type-checking-level branch December 7, 2024 01:30
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