Feat: Easy persistent cache with new ab.get_colab_cache helper function

[aaronsteers]

This new helper function streamlines the process of mounting Google Drive from within Google Colab, and automatically creates a PyAirbyte cache that will persist across multiple Colab sessions.

Summary by CodeRabbit

• New Features

  • Introduced a new caching utility function for persistent data storage in Google Colab.
  • Added a constant for flexible cache file location management.

• Enhancements

  • Updated caching strategy to utilize a dynamic cache directory based on constants.
  • Enhanced module functionality by integrating new constants and caching mechanisms.

• Documentation

  • Added detailed documentation for the new caching utility and constants.

[coderabbitai]

Walkthrough

Walkthrough

The changes introduce several enhancements to the Airbyte module, including the addition of a new constants import and the get_colab_cache function for improved caching in Google Colab environments. The CacheBase class's cache_dir attribute is updated for better configurability, and a new global variable, DEFAULT_CACHE_ROOT, is defined to manage cache file locations more flexibly. These modifications collectively improve the module's functionality and usability.

Changes

File	Change Summary
airbyte/init.py	Added constants and get_colab_cache imports; updated __all__ list to include new additions.
airbyte/caches/base.py	Modified cache_dir default value to use constants.DEFAULT_CACHE_ROOT instead of a static path.
airbyte/caches/util.py	Introduced get_colab_cache function for creating a persistent DuckDB cache in Google Drive for Colab, with detailed documentation and parameter specifications.
airbyte/constants.py	Added DEFAULT_CACHE_ROOT variable to define the default cache location, with a docstring explaining its usage and environment variable override capability.

Sequence Diagram(s)

sequenceDiagram
    participant User
    participant Colab
    participant Cache
    participant Constants

    User->>Colab: Run code
    Colab->>Cache: Call get_colab_cache()
    Cache->>Constants: Retrieve DEFAULT_CACHE_ROOT
    Constants-->>Cache: Return cache root path
    Cache->>Colab: Mount Google Drive
    Colab-->>Cache: Confirm mount
    Cache->>Cache: Create cache directory if not exists
    Cache->>Cache: Initialize DuckDB database
    Cache-->>User: Return DuckDBCache instance

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Would you like to make any adjustments or add more details to any specific section? wdyt?

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Recent review details

Configuration used: CodeRabbit UI
Review profile: CHILL

Commits

Files that changed from the base of the PR and between 0d9e503 and 8457eb5.

Files selected for processing (1)

• airbyte/caches/base.py (2 hunks)

Files skipped from review as they are similar to previous changes (1)

• airbyte/caches/base.py

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[aaronsteers]

/fix-pr

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[coderabbitai]

Actionable comments posted: 0

Outside diff range and nitpick comments (3)

airbyte/constants.py (1)

45-57: LGTM! The new DEFAULT_CACHE_ROOT variable is a great addition.

The variable provides a flexible way to manage cache file locations, which should improve usability in various deployment scenarios. The docstring is also very clear and informative.

One minor suggestion: Consider adding a note in the docstring about the importance of ensuring that the specified cache directory is writable by the user running the code. This could help prevent potential permission issues. wdyt?

airbyte/caches/util.py (1)

80-162: LGTM! This is a great addition to simplify persistent caching in Google Colab.

The get_colab_cache function is well-documented, and the default parameter values make it easy to use for most cases. The logic for setting up the cache directory and creating the DuckDB database file is straightforward and easy to follow.

One minor suggestion: Since the drive_name parameter defaults to _MY_DRIVE, you could simplify the logic for constructing the drive_root path like this:

drive_root = Path(mount_path) / drive_name
if drive_name != _MY_DRIVE:
    drive_root = drive_root.parent / "Shareddrives" / drive_name

This avoids the redundant if check and makes the code a bit more concise. What do you think?

airbyte/__init__.py (1)

143-143: Looks good, but a question about get_default_cache.

The introduction of get_colab_cache and its inclusion in __all__ aligns with the PR objective of improving caching in Google Colab environments.

However, I noticed that get_default_cache is still being imported. Is it being deprecated in favor of get_colab_cache? If so, should we consider adding a deprecation warning for get_default_cache? wdyt?

Also applies to: 174-174

Review details

Configuration used: CodeRabbit UI
Review profile: CHILL

Commits

Files that changed from the base of the PR and between c5fea25 and 6a4c487.

Files selected for processing (4)

• airbyte/init.py (4 hunks)
• airbyte/caches/base.py (3 hunks)
• airbyte/caches/util.py (2 hunks)
• airbyte/constants.py (2 hunks)

Additional comments not posted (3)

airbyte/__init__.py (1)

129-129: LGTM!

The addition of the constants import and its inclusion in __all__ looks good. This change aligns with the PR objective of enhancing the module's functionality by making constants available for use.

Also applies to: 160-160

airbyte/caches/base.py (2)

15-15: LGTM!

The import statement looks good and is necessary for using the constants.DEFAULT_CACHE_ROOT in the cache_dir field default value.

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54-54: Looks good to me!

The change to use constants.DEFAULT_CACHE_ROOT as the default value for the cache_dir field is a nice improvement. It enhances the flexibility of the cache directory configuration by using a predefined constant instead of a hardcoded path.

Using a lambda function for the default value is also a good practice to avoid premature evaluation of the default value.

Overall, this change improves the configurability of the cache directory while maintaining the existing functionality of the CacheBase class. Great work!