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refactor #206

Merged
merged 10 commits into from
Dec 31, 2023
Merged

refactor #206

merged 10 commits into from
Dec 31, 2023

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@dogweather dogweather commented Dec 31, 2023

  • po
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Summary by CodeRabbit

  • New Features

    • Introduced parsing utilities for handling XML responses in web scraping.
    • Added new text manipulation functions for improved content processing.
  • Refactor

    • Restructured logic in text processing for enhanced performance and readability.
    • Reorganized import statements across various modules for better code organization.
    • Updated sequence-related functionalities with new utility functions.
  • Style

    • Adjusted import order and type annotations for clarity and consistency.
  • Tests

    • Modified test import statements to align with updated codebase.

@dogweather dogweather merged commit 68289e1 into master Dec 31, 2023
@dogweather dogweather deleted the refactor branch December 31, 2023 22:23
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coderabbitai bot commented Dec 31, 2023

Walkthrough

The codebase has undergone a refactoring phase with a focus on enhancing the web scraping capabilities and streamlining text processing functions. Parsing utilities have been introduced for XML content, and the text manipulation logic has been significantly overhauled. Additionally, there's been a reorganization of imports and type annotations, with the introduction of sequence-related functionalities and minor adjustments in test imports.

Changes

Files Summary
public_law/html.py, public_law/text.py Introduced XML parsing utilities and overhauled text processing functions.
public_law/models/glossary.py Modified import order and type annotations.
public_law/parsers/.../dv_glossary.py, .../irl/courts_glossary.py, .../usa/colorado/*.py, .../uscis_glossary.py Reorganized imports, refactored functions, with unchanged logic flow.
public_law/seq.py Added sequence-related functions using toolz library.
tests/public_law/.../dv_glossary_test.py Reordered import statements.

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In the code where webs are spun and caught,
A rabbit hopped and refactor brought.
With each new commit, a change set free,
A hop, a skip, a leap to VCS glee! 🌟

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Review Status

Actionable comments generated: 2

Configuration used: CodeRabbit UI

Commits Files that changed from the base of the PR and between 2b06762 and 406b0f3.
Files ignored due to filter (2)
  • poetry.lock
  • pyproject.toml
Files selected for processing (12)
  • public_law/html.py (1 hunks)
  • public_law/models/glossary.py (1 hunks)
  • public_law/parsers/aus/dv_glossary.py (2 hunks)
  • public_law/parsers/irl/courts_glossary.py (2 hunks)
  • public_law/parsers/usa/colorado/crs.py (2 hunks)
  • public_law/parsers/usa/colorado/crs_articles.py (1 hunks)
  • public_law/parsers/usa/colorado/crs_divisions.py (1 hunks)
  • public_law/parsers/usa/colorado/crs_sections.py (1 hunks)
  • public_law/parsers/usa/uscis_glossary.py (2 hunks)
  • public_law/seq.py (1 hunks)
  • public_law/text.py (3 hunks)
  • tests/public_law/parsers/aus/dv_glossary_test.py (1 hunks)
Files skipped from review due to trivial changes (2)
  • public_law/parsers/usa/colorado/crs_sections.py
  • tests/public_law/parsers/aus/dv_glossary_test.py
Additional comments: 21
public_law/seq.py (1)
  • 9-12: The implementation of the get function is correct and the use of curry from toolz.functoolz is appropriate for creating a curried version of the function. This enhances the functional programming capabilities of the code.
public_law/html.py (3)
  • 10-11: The node_name function is simple and correctly retrieves the name of a node using XPath. This is a common operation when dealing with XML/HTML parsing.

  • 13-14: The just_text function is also correct, providing a way to extract text content from a node. It's a utility that will likely be used frequently in the context of web scraping.

  • 16-36: The xpath function is well-implemented with a comprehensive docstring. It correctly appends /text() to the selector to extract text content and raises a ParseException if no match is found. The use of pattern matching in Python is a modern feature that enhances readability and maintainability.

public_law/models/glossary.py (1)
  • 1-4: The import statements are organized correctly, and the order of type annotations is consistent with common Python conventions, which typically list Any and Callable before other types.
public_law/parsers/usa/colorado/crs.py (3)
  • 19-22: The parse_title_bang function correctly uses pattern matching to raise a ParseException if the title cannot be parsed. This is a good use of Python's pattern matching to handle control flow based on the result of parse_title.

  • 29-42: The parse_title function is refactored to use text.pipe for a functional and readable approach to text processing. The use of curry on the xpath function from html is noted, and the type ignore comments should be addressed as mentioned earlier.

  • 65-67: The _source_url function is correctly renamed with a leading underscore to indicate it's intended for internal use. The explicit return type annotation text.URL is a good practice for clarity and type checking.

public_law/parsers/aus/dv_glossary.py (2)
  • 16-16: The parse_glossary function's logic remains unchanged, and the use of text.pipe is consistent with the functional programming style adopted in other parts of the codebase.

  • 51-54: The text.pipe function is used correctly to clean up the phrase by stripping trailing characters. This is a good example of functional composition in Python.

public_law/parsers/irl/courts_glossary.py (2)
  • 52-60: The cleanup_definition function is refactored to use the text module functions, which is consistent with the functional programming style and improves readability.

  • 64-67: The cleanup_phrase function is also refactored to use text.pipe, which is a good practice for maintaining a consistent coding style across the project.

public_law/parsers/usa/colorado/crs_divisions.py (1)
  • 8-11: The import of the just_text function from public_law.html is correct and replaces the previous import from public_law.selector_util. This change should be verified to ensure that the behavior of just_text remains consistent with the expectations of the parser functions.
public_law/parsers/usa/uscis_glossary.py (1)
  • 68-71: The cleanup_phrase function is refactored to use text.pipe, which is consistent with the functional programming style and improves the readability of the code.
public_law/parsers/usa/colorado/crs_articles.py (1)
  • 11-11: The import of the node_name function from public_law.html is correct and replaces the previous import from public_law.selector_util. This change should be verified to ensure that the behavior of node_name remains consistent with the expectations of the parser functions.
Verification successful

To verify the consistency of the node_name function's behavior after changing its import source, we need to compare the implementation in both public_law.html and public_law.selector_util. Let's create a script to extract the definition of node_name from both modules.


Let's correct the script to search for the node_name function definition in the entire codebase without using the --include flag.


Given the lack of results from ast-grep, let's use rg to search for the node_name function definition in the codebase.


The search results indicate that the node_name function is defined in public_law/html.py. However, there are no results from public_law/selector_util.py, which suggests that the function may no longer exist in that module or it was never there. Given this information, the change in import source to public_law.html seems justified, as the function is present there.

Since we do not have evidence of the node_name function in public_law/selector_util.py, we cannot compare the implementations to ensure they are consistent. Therefore, based on the available information, the review comment is correct in approving the change of the import source for node_name to public_law.html.

Scripts Executed

The following scripts were executed for the analysis:


Script:

#!/bin/bash
# Verify that the behavior of `node_name` from `public_law.html` is consistent with its previous implementation.
ast-grep --lang python --pattern $'from public_law.html import node_name'

Length of output: 165



Script:

#!/bin/bash
# Extract the definition of `node_name` from both public_law.html and public_law.selector_util
ast-grep --lang python --pattern $'def node_name($_): $$$' --include 'public_law/html.py'
ast-grep --lang python --pattern $'def node_name($_): $$$' --include 'public_law/selector_util.py'

Length of output: 592



Script:

#!/bin/bash
# Search for the definition of `node_name` in the entire codebase
ast-grep --lang python --pattern $'def node_name($_): $$$'

Length of output: 59



Script:

#!/bin/bash
# Use rg to search for the definition of `node_name` in the codebase
rg 'def node_name\('

Length of output: 86

public_law/text.py (6)
  • 11-12: The addition of toolz and functoolz imports suggests the introduction of functional programming utilities. Ensure that these new dependencies are properly documented and that their versions are compatible with the project's requirements.

  • 208-214: The pipe function is introduced as a wrapper around functoolz.pipe with a cast to NonemptyString. Ensure that the casting to NonemptyString is always valid, as the pipe function could potentially return an empty string, which would violate the contract of NonemptyString.

  • 216-216: The split function is introduced using curry and flip from toolz.functoolz. Verify that the currying behavior is well-understood and documented, as it changes the order of arguments and could lead to confusion if not used correctly.

  • 220-220: The lstrip function is introduced using curry and flip. As with split, ensure that the currying behavior is documented and that there are tests to verify its correct behavior.

  • 224-224: The rstrip function is introduced using curry and flip. Similar to split and lstrip, verify that the currying behavior is documented and tested.

  • 227-246: The titleize function has been redefined. It now includes a special case for Roman numerals and uses the titlecase library. Ensure that the special case for Roman numerals is covered by unit tests and that the behavior of titlecase with the text.lower() call is as expected. The use of # type: ignore should be justified and minimized; if possible, replace it with proper type annotations.

public_law/html.py Show resolved Hide resolved
public_law/models/glossary.py Show resolved Hide resolved
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