def test_preprocess_train_data(self):
train_df = pd.DataFrame(
[["text", "additional", 1]],
columns=["text", "additional", "label"]
)
train_df.to_csv("train.csv")
config = {
"data_folder": "./",
"train_data_path": "train.csv"
}
model = BasicModel(config)
def remove_additional(df):
return df.drop(columns=["additional"])
model._preprocess_data = MagicMock(side_effect=remove_additional)
model._preprocess_and_save_data(config["train_data_path"])
preprocessed_train_df = pd.read_csv("./preprocessed_train.csv")
assert "text" in preprocessed_train_df.columns
assert "label" in preprocessed_train_df.columns
assert "additional" not in preprocessed_train_df.columns
def test_init_model(self):
model = BasicModel({
"train_data_path": "train",
"unlabeled_data_path": "unlabeled",
"test_data_path": "test"
})
model._preprocess_and_save_data = MagicMock()
model._load = MagicMock()
model.init()
model._preprocess_and_save_data.assert_any_call("train")
model._preprocess_and_save_data.assert_any_call("unlabeled")
model._preprocess_and_save_data.assert_any_call("test")
model._load.assert_called_with()
