Bugfix/fit transform

README.md

@@ -8,7 +8,7 @@
 
 [![CI status](https://github.com/artefactory/NLPretext/actions/workflows/ci.yml/badge.svg?branch%3Amain&event%3Apush)](https://github.com/artefactory/NLPretext/actions/workflows/ci.yml?query=branch%3Amain)
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-[![Python Version](https://img.shields.io/badge/Python-3.7-informational.svg)](#supported-python-versions)
+[![Python Version](https://img.shields.io/badge/Python-3.8-informational.svg)](#supported-python-versions)
 [![Dependencies Status](https://img.shields.io/badge/dependabots-active-informational.svg)](https://github.com/artefactory/NLPretext}/pulls?utf8=%E2%9C%93&q=is%3Apr%20author%3Aapp%2Fdependabot)
 
 [![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black)
@@ -54,7 +54,7 @@ Cannot find what you were looking for? Feel free to open an [issue]((https://git
 ### Supported Python Versions
 
 - Main version supported : `3.8`
-- Other supported versions : `3.9`
+- Other supported versions : `3.9`, `3.10`
 
 
 We strongly advise you to do the remaining steps in a virtual environnement.

nlpretext/preprocessor.py

@@ -83,5 +83,5 @@ def run(self, text: str) -> str:
                 {"operation": operation, "args": None} for operation in operations_to_pipe
             ]
         self.pipeline = self.build_pipeline(operations)
-        text = self.pipeline.fit_transform(text)
+        text = self.pipeline.transform(text)
         return text

tests/test_preprocessor.py

@@ -501,27 +501,23 @@ def test_custom_preprocess():
     assert expected_result == result
 
 
-def test_apply_preprocessor():
+@pytest.mark.parametrize(
+    "input_str, expected_str",
+    [
+        (
+            "Some text with @mentions and whitespaces    and #hashtags",
+            "Some text with and whitespaces and",
+        ),
+        ("@twitteruser ✊", ""),
+        ("", ""),
+    ],
+)
+def test_apply_preprocessor(input_str, expected_str):
     # Given
-    text = "Some text with @mentions and whitespaces    and #hashtags"
-    operations: List[Callable[[Any], Any]] = [
-        remove_html_tags,
-        remove_mentions,
-        remove_emoji,
-        remove_hashtag,
-        remove_eol_characters,
-        fix_bad_unicode,
-        normalize_whitespace,
-    ]
-
     preprocessor = Preprocessor()
 
-    expected_result = text
-    for function in operations:
-        expected_result = function(expected_result)
-
     # When
-    result = preprocessor.run(text)
+    result = preprocessor.run(input_str)
 
     # Then
-    assert expected_result == result
+    assert expected_str == result