Update test-canopy_service_test.R

[aliciamontesinos]

No description provided.

[gemini-code-assist]

Summary of Changes

Hello @aliciamontesinos, 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 refactors the canopy_service_test.R file by streamlining the test setup. It eliminates redundant data loading and subsetting operations within the test file, opting instead to utilize pre-existing global data variables. This change enhances test efficiency and readability, further supported by the translation of test descriptions into English.

Highlights

• Test Data Handling: The test file was refactored to remove explicit data loading and subsetting (download_RN, read.csv, comm_subset_UNI). Instead, it now directly uses pre-loaded global variables Amoladeras_int and Amoladeras_cover for test execution.
• Test Readability: Test descriptions were translated from Spanish to English, improving clarity and maintainability for a broader audience.

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Changelog

• tests/testthat/test-canopy_service_test.R
  • Removed local data loading and processing logic.
  • Updated test function calls to use global Amoladeras_int and Amoladeras_cover variables.
  • Translated test descriptions from Spanish to English for improved clarity.
  • Adjusted expect_equal calls to reference the new global data variables.

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[gemini-code-assist]

Code Review

This pull request refactors the test file test-canopy_service_test.R by removing old data loading logic in favor of using pre-loaded test data, and translating test descriptions from Spanish to English. These are good improvements. My review includes two suggestions to further enhance the test code by applying the DRY principle to avoid redundant calculations and by clarifying the intent of some test assertions for better maintainability.

[gemini-code-assist]

These assertions are a bit confusing as they test fila$Fc and fila$Fro against both a hardcoded value and a calculated sum. This implicitly tests that the hardcoded value equals the sum. It would be clearer to separate these concerns. You can test the function's output against the hardcoded value, and then have a separate assertion to ensure the input data hasn't changed, i.e., that the sum still equals the hardcoded value.

  expect_equal(fila$Fc, 18)
  expect_equal(sum(Amoladeras_int[Amoladeras_int$Canopy=="Artemisia_barrelieri" ,"Frequency"]), 18)
  expect_equal(fila$Fro, 5111)
  expect_equal(sum(Amoladeras_int[Amoladeras_int$Canopy=="Open" ,"Frequency"]), 5111)