Chore: Remove import only used in TYPE_CHECKING #421
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📝 Walkthrough📝 WalkthroughWalkthroughThe changes in this pull request involve modifications to the Changes
Sequence Diagram(s)sequenceDiagram
participant Client
participant CacheBase
participant SQLProcessor
Client->>CacheBase: Initialize CacheBase
CacheBase->>SQLProcessor: Check schema
SQLProcessor-->>CacheBase: Schema exists
CacheBase->>CacheBase: Initialize catalog backend
CacheBase->>CacheBase: Initialize state backend
Client->>CacheBase: Request records
CacheBase->>SQLProcessor: Execute SQL for records
SQLProcessor-->>CacheBase: Return records
CacheBase-->>Client: Send records
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Actionable comments posted: 0
🧹 Outside diff range and nitpick comments (3)
airbyte/caches/base.py (3)
24-24: Nice optimization on the imports! 👍Moving
SqlProcessorBaseto theTYPE_CHECKINGblock is a great way to improve runtime performance. Since it's only used for type annotations, this change makes perfect sense.Quick thought: Have you considered using
from __future__ import annotationsat the top of the file? It might allow you to use string type hints and potentially remove someTYPE_CHECKINGimports. Wdyt?Also applies to: 33-33
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72-101: Great job on improving the initialization process! 🎉I like how you've added a temporary processor to ensure the schema exists before initializing the backends. It's a solid approach to maintain data integrity.
Quick thought: Would it make sense to extract the schema creation logic into a separate method, like
_ensure_schema_exists(), for better readability? Something like:def _ensure_schema_exists(self): temp_processor = self._sql_processor_class( sql_config=self, catalog_provider=CatalogProvider(ConfiguredAirbyteCatalog(streams=[])), state_writer=StdOutStateWriter(), temp_dir=self.cache_dir, temp_file_cleanup=self.cleanup, ) temp_processor._ensure_schema_exists() # In __init__ self._ensure_schema_exists() # Initialize backends...What do you think? This could make the
__init__method a bit cleaner and more focused. Wdyt?
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103-307: The overall structure looks solid! 💪The core functionality of the class has been preserved, and the unchanged methods like
get_records,get_pandas_dataframe, andget_arrow_datasetseem to be working as expected.For future consideration: Have you thought about adding some docstring examples for these methods? It could be helpful for developers using this class. Something like:
def get_records(self, stream_name: str) -> CachedDataset: """Uses SQLAlchemy to select all rows from the table. Example: >>> cache = CacheBase(...) >>> records = cache.get_records("users") >>> for record in records: ... print(record) """ return CachedDataset(self, stream_name)What do you think? It's not urgent, but it could be a nice addition for documentation. Wdyt?
jx2lee
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jx2lee
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jx2lee
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/test-pr
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@jx2lee - This looks great - thanks for your contribution! 🚀 |
closed #425
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