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🏗 Build Spider: Los Angeles Board of Education #10

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@cruznunez cruznunez commented Sep 24, 2024

What's this PR do?

This PR adds a scraper for Los Angeles Unified School District Board of Education.

Why are we doing this?

Scraper requested from spreadsheet.

Steps to manually test

  1. Ensure the project is installed:
pipenv sync --dev
  1. Activate the virtual env and enter the pipenv shell:
pipenv shell
  1. Run the spider:
scrapy crawl losca_Board_of_ed -O test_output.csv
  1. Monitor the output and ensure no errors are raised.
  2. Inspect test_output.csv to ensure the data looks valid.
  3. Ensure all tests pass
pytest

Are there any smells or added technical debt to note?

This scraper uses the board's RSS feed. It does not scrape a typical HTML page. I used this approach because it had the most meetings on one page. The original link shows a calendar which did not have that many meetings on the page. Would need to click on the "previous" and "next month" arrows to see more events.

Also, the scraper was not reading the <link> element as expected so had to parse it differently than the other info from the feed.

Summary by CodeRabbit

  • New Features

    • Introduced a new spider to scrape meeting information from the Los Angeles Unified School District Board of Education's RSS feed.
    • Added support for parsing meeting details including title, start and end times, and location.
  • Tests

    • Implemented a comprehensive suite of unit tests to validate the functionality of the new spider, ensuring accurate parsing of meeting data.

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coderabbitai bot commented Sep 24, 2024

Walkthrough

The changes introduce a new spider class, LoscaBoardOfEdSpider, designed to scrape meeting information from the Los Angeles Unified School District Board of Education's RSS feed. It includes methods for parsing meeting details such as titles, times, and links. Additionally, a suite of unit tests is provided to validate the spider's functionality against a predefined HTML response.

Changes

File Change Summary
city_scrapers/spiders/losca_Board_of_ed.py Added LoscaBoardOfEdSpider class with methods for parsing RSS feed items into meeting objects.
tests/test_losca_Board_of_ed.py Created unit tests for LoscaBoardOfEdSpider, validating parsing logic against a sample response.

Poem

In the city where meetings convene,
A spider now dances, a digital queen.
Scraping the feeds with a hop and a skip,
Gathering details with each little blip.
With tests all around, it’s ready to play,
Hooray for the changes that brighten our day! 🐇✨


Recent review details

Configuration used: CodeRabbit UI
Review profile: CHILL

Commits

Files that changed from the base of the PR and between c026080 and 24cabec.

Files selected for processing (2)
  • city_scrapers/spiders/losca_Board_of_ed.py (1 hunks)
  • tests/test_losca_Board_of_ed.py (1 hunks)
Files skipped from review as they are similar to previous changes (2)
  • city_scrapers/spiders/losca_Board_of_ed.py
  • tests/test_losca_Board_of_ed.py

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Actionable comments posted: 6

Outside diff range and nitpick comments (5)
tests/test_losca_Board_of_ed.py (3)

29-31: LGTM: Title extraction is verified, but consider expanding test coverage.

The test function effectively checks title extraction for the first two items. To enhance test coverage, consider adding assertions for more items or implementing a parameterized test to check all items.

You could improve this test by using pytest's parameterize feature:

@pytest.mark.parametrize(
    "index,expected",
    [
        (0, "Greening Schools & Climate Resilience"),
        (1, "Curriculum and Instruction"),
        # Add more (index, expected_title) tuples here
    ],
)
def test_title(index, expected):
    assert parsed_items[index]["title"] == expected

34-91: LGTM: Comprehensive attribute testing, but consider expanding coverage.

The test functions effectively verify various attributes of the parsed items. However, to enhance test robustness:

  1. Consider using parameterized tests to check multiple items for each attribute.
  2. The test_id function relies on a specific string format. Ensure this format is documented and stable, or consider a more flexible assertion.
  3. For test_location, if the address can vary, consider testing the structure of the location dictionary instead of specific values.

Here's an example of how you could parameterize the start time test:

@pytest.mark.parametrize(
    "index,expected",
    [
        (0, datetime(2024, 9, 24, 13, 0)),
        # Add more (index, expected_datetime) tuples
    ],
)
def test_start(index, expected):
    assert parsed_items[index]["start"] == expected

Apply similar parameterization to other attribute tests for more comprehensive coverage.


1-96: Overall good test coverage with room for enhancement.

The test suite provides comprehensive coverage of the LoscaBoardOfEdSpider's parsing functionality. Positive aspects include:

  1. Testing of all major attributes of parsed items.
  2. Use of freezegun for consistent datetime testing.
  3. Excellent parameterized testing for the 'all_day' attribute.

Areas for potential improvement:

  1. Expand use of parameterized testing to other attributes for more thorough coverage.
  2. Consider adding tests for edge cases and error handling scenarios.
  3. Implement property-based testing for more robust verification of parsing logic.

To address point 2, consider adding tests like:

def test_empty_response():
    empty_response = file_response(
        join(dirname(__file__), "files", "empty_response.html"),
        url="https://example.com"
    )
    parsed_items = list(spider.parse(empty_response))
    assert len(parsed_items) == 0

def test_malformed_date():
    # Create a response with a malformed date in the RSS feed
    # Assert that the spider handles it gracefully (e.g., skips the item or uses a default date)

For point 3, you could use a library like Hypothesis to generate various input scenarios and ensure the spider handles them correctly.

city_scrapers/spiders/losca_Board_of_ed.py (1)

17-43: LGTM: Parse method is well-structured.

The parse method effectively processes the RSS feed items and creates Meeting objects with the necessary information. The use of helper methods for parsing specific fields is a good practice that enhances readability and maintainability.

Consider extracting the hardcoded location to a class-level constant or configuration file. This would make it easier to update if the meeting location ever changes:

class LoscaBoardOfEdSpider(CityScrapersSpider):
    # ... other class attributes ...
    MEETING_LOCATION = {
        "name": "LAUSD Headquarters",
        "address": "333 South Beaudry Avenue, Board Room, Los Angeles, CA 90017",
    }

    def parse(self, response):
        # ... other code ...
        meeting = Meeting(
            # ... other fields ...
            location=self.MEETING_LOCATION,
            # ... other fields ...
        )
        # ... rest of the method ...

This change would centralize the location information and make it easier to maintain.

tests/files/losca_Board_of_ed.html (1)

1-1: Consider adding a description for the RSS feed

The element in the channel metadata is currently empty. Adding a brief description of the feed's content would improve its usability and provide more context for subscribers.

Consider adding a description, for example:

<description>Official RSS feed for Los Angeles Unified School District Board of Education events and meetings.</description>
Review details

Configuration used: CodeRabbit UI
Review profile: CHILL

Commits

Files that changed from the base of the PR and between 6120f27 and c026080.

Files selected for processing (3)
  • city_scrapers/spiders/losca_Board_of_ed.py (1 hunks)
  • tests/files/losca_Board_of_ed.html (1 hunks)
  • tests/test_losca_Board_of_ed.py (1 hunks)
Additional comments not posted (10)
tests/test_losca_Board_of_ed.py (4)

1-23: LGTM: Imports and test setup are well-structured.

The imports and test setup are correctly implemented. The use of freezegun for consistent datetime values and file_response for reproducible tests are particularly good practices.


25-26: LGTM: Test count function is concise and effective.

This test function effectively verifies that the spider parses the expected number of items from the test response.


94-96: Excellent use of parameterized testing!

This parameterized test is a great example of efficient and comprehensive testing. It ensures that the 'all_day' attribute is correctly set for all parsed items, which is crucial for accurate event representation.


1-96: Well-structured and comprehensive test suite, aligning with PR objectives.

This test file for the LoscaBoardOfEdSpider is well-organized, follows good testing practices, and aligns well with the PR objectives. Key points:

  1. The tests comprehensively cover the parsing of RSS feed data, validating the approach mentioned in the PR objectives.
  2. The file structure and naming conventions are clear and follow best practices.
  3. The tests effectively verify the extraction of crucial information like meeting titles, dates, locations, and links.

The test suite provides a solid foundation for ensuring the reliability of the Los Angeles Unified School District Board of Education scraper. As the scraper evolves, consider expanding the test suite to cover more edge cases and potential variations in the RSS feed structure.

city_scrapers/spiders/losca_Board_of_ed.py (2)

1-4: LGTM: Import statements are appropriate and well-organized.

The import statements are relevant to the spider's functionality and follow PEP 8 guidelines for import order.


1-88: Overall assessment: Good implementation with room for improvement.

The LoscaBoardOfEdSpider class provides a solid foundation for scraping meeting information from the Los Angeles Unified School District Board of Education's RSS feed. The structure and core functionality are sound, but there are several areas where improvements can enhance robustness and maintainability:

  1. Correct the timezone setting from "America/Chicago" to "America/Los_Angeles".
  2. Consider extracting the hardcoded meeting location to a class-level constant or configuration file.
  3. Enhance the robustness of parsing methods (_parse_title, _parse_start, _parse_end, _parse_links) by using regular expressions and providing fallback mechanisms.
  4. Update comments to accurately reflect the current implementation, especially in the _parse_start method.

Implementing these suggestions will result in a more reliable and maintainable spider. Great work on the initial implementation!

tests/files/losca_Board_of_ed.html (4)

1-1: XML structure adheres to RSS 2.0 specification

The XML structure of this RSS feed is well-formed and follows the RSS 2.0 specification. It includes the necessary elements such as for metadata and for individual events.


1-1: Date format complies with RSS 2.0 specification

The date format used in both the channel metadata and individual event items adheres to the RFC 822 date-time format, which is the required format for RSS 2.0. This ensures compatibility with RSS readers and parsers.


1-1: Overall assessment: Well-structured RSS feed with room for enhancements

This RSS feed file for the Los Angeles Unified School District Board of Education is well-structured and adheres to the RSS 2.0 specification. It provides a good representation of the actual feed for testing purposes. While functional in its current form, there are opportunities to enhance its usefulness by adding more detailed metadata and event information.

Key points:

  1. The XML structure is valid and follows RSS 2.0 standards.
  2. Date formats are correct and consistent.
  3. The feed lacks a channel description, which could be added for better context.
  4. Event items could be enriched with additional elements like descriptions, GUIDs, and categories.
  5. Proper character encoding should be verified to ensure compatibility across different systems.

These enhancements would not only improve the feed's functionality but also make the scraper more robust by handling a more comprehensive set of data.


1-1: Verify proper encoding of all special characters

The file uses UTF-8 encoding and HTML entities, which is appropriate for XML content. However, it's crucial to ensure that all special characters, especially in event titles and descriptions, are properly encoded to prevent parsing issues.

Run the following script to check for potential encoding issues:

If the script returns any results, review those instances to ensure proper encoding.

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