test

[LuisJG8]

No description provided.

[gemini-code-assist]

Summary of Changes

Hello @LuisJG8, I'm Gemini Code Assist¹! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!

This pull request primarily refines existing functionality by enhancing a data analysis script to perform more detailed queries on Parquet files using DuckDB, and by adjusting the GitHub API rate limiting check in a worker process to be more proactive.

Highlights

• DuckDB Script Enhancement: The ducky.py script has been updated to perform more sophisticated data analysis using DuckDB. Instead of a simple query, it now reads a Parquet file into a DataFrame, describes its schema, and executes a grouped count query on the 'language' column.
• GitHub API Rate Limit Adjustment: In worker.py, the logic for detecting an approaching GitHub API rate limit has been modified. The condition to break the loop was changed from remaining_api_calls == 1 to remaining == 2, and a minor textual change in a print statement was made.

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[gemini-code-assist]

Code Review

The pull request introduces a Python script for data analysis with DuckDB and includes a minor fix in a worker file. My review provides feedback on the new script to enhance its maintainability and adherence to Python best practices, such as avoiding hardcoded paths and improving string formatting. For the worker file, I've suggested a change to make the rate-limiting logic more robust and readable by addressing a magic number.

[gemini-code-assist]

There is a trailing whitespace on this line. It's good practice to remove it to maintain a clean and consistent code style, as recommended by PEP 8.

Suggested change

	import duckdb
	import duckdb

References

1. PEP 8, the style guide for Python code, recommends avoiding extraneous whitespace, including trailing whitespace. ^(link)

[gemini-code-assist]

The file path ../2026-01-14/hey.parquet is hardcoded. This makes the script less flexible and harder to reuse. Consider passing the file path as a command-line argument (e.g., using argparse) or reading it from an environment variable. This will make the script more portable and easier to use in different environments or with different data files.

[gemini-code-assist]

For multi-line strings, especially for something like an SQL query, using triple quotes (""" or ''') is generally more readable and maintainable than using a backslash \ for line continuation. This is a common Python idiom and is implicitly encouraged by PEP 8 for readability.

For example:

duckdb.sql("""
    SELECT language, COUNT(language) AS c_p
    FROM df
    GROUP BY language
    ORDER BY c_p DESC
""").show()

References

1. PEP 8 emphasizes readability. While not a strict rule against backslash continuation for strings, using triple-quoted strings for multi-line strings is a widely accepted convention for improving readability. ^(link)

[gemini-code-assist]

The file is missing a newline character at the end. It's a common convention (and a POSIX standard) to end files with a newline. This can prevent issues with file concatenation and some command-line tools. PEP 8 also recommends this.

References

1. PEP 8 recommends that all files should end in a single newline character. ^(link)

[gemini-code-assist]

Using 2 as a hardcoded value here is a 'magic number'. It would be better to define it as a constant with a descriptive name (e.g., API_RATE_LIMIT_THRESHOLD = 2) at a more global scope to improve readability and maintainability. Additionally, using <= is more robust than == for this check. It ensures that the loop will break even if the number of remaining calls happens to skip the exact value of 2 (e.g., by dropping from 3 to 1).

Suggested change

	if remaining == 2:
	if remaining <= 2: