build(deps): bump the python-dependencies group with 4 updates

Bumps the python-dependencies group with 4 updates: [requests](https://github.com/psf/requests), [pandas](https://github.com/pandas-dev/pandas), [pytest](https://github.com/pytest-dev/pytest) and [mkdocs-material](https://github.com/squidfunk/mkdocs-material).


Updates `requests` from 2.32.5 to 2.33.0
- [Release notes](https://github.com/psf/requests/releases)
- [Changelog](https://github.com/psf/requests/blob/main/HISTORY.md)
- [Commits](https://github.com/psf/requests/compare/v2.32.5...v2.33.0)

Updates `pandas` from 2.3.3 to 3.0.1
- [Release notes](https://github.com/pandas-dev/pandas/releases)
- [Commits](https://github.com/pandas-dev/pandas/compare/v2.3.3...v3.0.1)

Updates `pytest` from 8.4.2 to 9.0.2
- [Release notes](https://github.com/pytest-dev/pytest/releases)
- [Changelog](https://github.com/pytest-dev/pytest/blob/main/CHANGELOG.rst)
- [Commits](https://github.com/pytest-dev/pytest/compare/8.4.2...9.0.2)

Updates `mkdocs-material` from 9.6.23 to 9.7.6
- [Release notes](https://github.com/squidfunk/mkdocs-material/releases)
- [Changelog](https://github.com/squidfunk/mkdocs-material/blob/master/CHANGELOG)
- [Commits](https://github.com/squidfunk/mkdocs-material/compare/9.6.23...9.7.6)

---
updated-dependencies:
- dependency-name: requests
  dependency-version: 2.33.0
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: python-dependencies
- dependency-name: pandas
  dependency-version: 3.0.1
  dependency-type: direct:production
  update-type: version-update:semver-major
  dependency-group: python-dependencies
- dependency-name: pytest
  dependency-version: 9.0.2
  dependency-type: direct:development
  update-type: version-update:semver-major
  dependency-group: python-dependencies
- dependency-name: mkdocs-material
  dependency-version: 9.7.6
  dependency-type: direct:development
  update-type: version-update:semver-minor
  dependency-group: python-dependencies
...

Signed-off-by: dependabot[bot] <support@github.com>

.github/workflows/python-app.yml

@@ -19,15 +19,15 @@ jobs:
     steps:
       - uses: actions/checkout@v4
 
-      - name: Set up Python 3.x
+      - name: Set up Python 3.10
         uses: actions/setup-python@v4
         with:
-          python-version: "3.x"
+          python-version: "3.10"
 
       - name: install dependencies
         run: |
           python -m pip install --upgrade pip
-          pip install ".[test]"
+          pip install ".[test,doc]"
 
       - name: Lint with flake8
         run: |

.github/workflows/static.yml

@@ -32,14 +32,15 @@ jobs:
       - name: Checkout
         uses: actions/checkout@v4
 
-      - name: Set up Python 3.x
+      - name: Set up Python 3.10
         uses: actions/setup-python@v5
         with:
-          python-version: '3.x'
+          python-version: '3.10'
 
       - name: Install dependencies
         run: |
           python -m pip install --upgrade pip
+          # Installe le projet en mode éditable avec les extras de doc
           pip install -e ".[doc]"
 
       - name: Setup Pages

pyproject.toml

@@ -2,11 +2,10 @@
 name = "projet-millesima-s6"
 version = "0.1.0"
 dependencies = [
-    "requests==2.32.5",
+    "requests==2.33.0",
     "beautifulsoup4==4.14.3",
-    "pandas==2.3.3",
+    "pandas==3.0.1",
     "tqdm==4.67.3",
-    "scikit-learn==1.7.2"
 ]
 
 [tool.pytest.ini_options]
@@ -14,8 +13,8 @@ pythonpath = "src"
 testpaths = ["tests"]
 
 [project.optional-dependencies]
-test = ["pytest==8.4.2", "requests-mock==1.12.1", "flake8==7.3.0"]
-doc = ["mkdocs<2.0.0", "mkdocs-material==9.6.23", "mkdocstrings[python]"]
+test = ["pytest==9.0.2", "requests-mock==1.12.1", "flake8==7.3.0"]
+doc = ["mkdocs<2.0.0", "mkdocs-material==9.7.6", "mkdocstrings[python]"]
 
 [build-system]
 requires = ["setuptools", "wheel"]

src/cleaning.py

@@ -92,24 +92,18 @@ class Cleaning:
         self._vins = self._vins.join(appellation_dummies)
         return self
 
-    def drop_empty_price(self) -> "Cleaning":
-        self._vins = self._vins.dropna(subset=["Prix"])
-        return self
-
 
 def main() -> None:
     if len(argv) != 2:
         raise ValueError(f"Usage: {argv[0]} <filename.csv>")
 
     filename = argv[1]
-    cleaning: Cleaning = (
-        Cleaning(filename)
-        .drop_empty_appellation()
-        .fill_missing_scores()
-        .encode_appellation()
-        .drop_empty_price()
-    )
-    cleaning.getVins().to_csv("clean.csv", index=False)
+    cleaning: Cleaning = Cleaning(filename)
+    cleaning.drop_empty_appellation()   \
+        .fill_missing_scores()          \
+        .encode_appellation()           \
+        .getVins()                      \
+        .to_csv("clean.csv", index=False)
 
 
 if __name__ == "__main__":

src/learning.py

@@ -1,31 +0,0 @@
-#!/usr/bin/env python3
-
-from typing import Any, Callable
-from pandas import DataFrame
-from sklearn.linear_model import LinearRegression
-from sklearn.model_selection import train_test_split
-from sklearn.pipeline import make_pipeline
-
-
-class Learning:
-    def __init__(self, vins: DataFrame, target: str) -> None:
-        self.X = vins.drop(target, axis=1)
-        self.y = vins[target]
-
-        self.X_train, self.X_test, self.y_train, self.y_test = train_test_split(
-            self.X, self.y, test_size=0.25, random_state=49
-        )
-
-    def evaluate(
-        self,
-        estimator,
-        pretreatment=None,
-        fn_score=lambda m, xt, yt: m.score(xt, yt),
-    ):
-
-        pipeline = make_pipeline(pretreatment, estimator) if pretreatment else estimator
-        pipeline.fit(self.X_train, self.y_train)
-        score = fn_score(pipeline, self.X_test, self.y_test)
-        prediction = pipeline.predict(self.X_test)
-
-        return score, prediction