Nothing
# Unified path check
model_path <- system.file("extdata", "trained_rf_ranger_model.rds", package = "text2emotion")
tfidf_path <- system.file("extdata", "trained_tfidf_model.rds", package = "text2emotion")
vectorizer_path <- system.file("extdata", "trained_vectorizer.rds", package = "text2emotion")
skip_if(model_path == "", "Trained model file missing")
skip_if(tfidf_path == "", "TF-IDF model file missing")
skip_if(vectorizer_path == "", "Vectorizer file missing")
test_that("predict_emotion_with_emoji returns emotion label", {
result <- predict_emotion_with_emoji("I am feeling great", output_type = "emotion")
# Expect a character output
expect_type(result, "character")
# Should match one of known emotion labels
expect_true(result %in% c("positive", "angry", "sad", "fear", "neutral"))
})
test_that("predict_emotion_with_emoji returns emoji output", {
result <- predict_emotion_with_emoji("I am angry", output_type = "emoji")
expect_type(result, "character")
expect_true(result %in% c("😊", "😡", "😢", "😨", "😐"))
})
test_that("predict_emotion_with_emoji returns text + emoji output", {
input_text <- "I feel a bit scared"
result <- predict_emotion_with_emoji(input_text, output_type = "textemoji")
expect_true(grepl(input_text, result))
expect_true(grepl("[😊😡😢😨😐]", result))
})
test_that("predict_emotion_with_emoji errors on invalid output_type", {
expect_error(
predict_emotion_with_emoji("Feeling neutral", output_type = "wrongtype"),
"Invalid output_type"
)
})
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