16 Commits

Author SHA1 Message Date
dependabot[bot]
f29130f4bb build(deps): bump the python-dependencies group across 1 directory with 5 updates
Bumps the python-dependencies group with 5 updates in the / directory:

| Package | From | To |
| --- | --- | --- |
| [requests](https://github.com/psf/requests) | `2.32.5` | `2.33.0` |
| [pandas](https://github.com/pandas-dev/pandas) | `2.3.3` | `3.0.1` |
| [scikit-learn](https://github.com/scikit-learn/scikit-learn) | `1.7.2` | `1.8.0` |
| [pytest](https://github.com/pytest-dev/pytest) | `8.4.2` | `9.0.2` |
| [mkdocs-material](https://github.com/squidfunk/mkdocs-material) | `9.6.23` | `9.7.6` |



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 `scikit-learn` from 1.7.2 to 1.8.0
- [Release notes](https://github.com/scikit-learn/scikit-learn/releases)
- [Commits](https://github.com/scikit-learn/scikit-learn/compare/1.7.2...1.8.0)

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: scikit-learn
  dependency-version: 1.8.0
  dependency-type: direct:production
  update-type: version-update:semver-minor
  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>
2026-03-30 07:46:51 +00:00
Loïc GUEZO
615418f347 Merge pull request #13 from guezoloic/jalon3
Jalon3
2026-03-30 09:45:16 +02:00
83c53dd6b0 ajout: question 30: "constatez vous" 2026-03-30 09:41:51 +02:00
fc3f516cdd correction: format fichers .py 2026-03-30 09:38:26 +02:00
235275cfab ajout: modele 4 et matrice de correlation 2026-03-30 09:35:37 +02:00
faca333cbf ajout: modele 2 et 3 2026-03-29 20:53:13 +02:00
f4dd93e4b0 ajout: learning.ipnyb dans mkdocs et finission du modele 1 2026-03-29 18:34:18 +02:00
7a4e49684f Merge remote-tracking branch 'origin' into jalon3 2026-03-29 16:57:25 +02:00
f223acdfe6 feat: update website domain name url 2026-03-29 16:56:06 +02:00
7cd24bf6cb Merge remote-tracking branch 'origin' into jalon3 2026-03-29 15:23:06 +02:00
Loïc GUEZO
a75769eb3b Update copyright holders in LICENSE file 2026-03-29 15:22:38 +02:00
de513fca15 Merge remote-tracking branch 'origin' into jalon3 2026-03-29 15:15:17 +02:00
Loïc GUEZO
f87ea357f4 Add MIT License to the project 2026-03-29 15:12:30 +02:00
68dffa6486 feat(learning.ipynb): ajout meilleur algo 2026-03-28 20:04:14 +01:00
c7d2077b23 feat: ajout premier modele (1ere partie) 2026-03-28 19:58:09 +01:00
106877a073 feat: init Learning class and add drop_empty_price function 2026-03-28 15:51:46 +01:00
11 changed files with 1419 additions and 31 deletions

View File

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

View File

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

21
LICENSE Normal file
View File

@@ -0,0 +1,21 @@
MIT License
Copyright (c) 2026 Loïc GUEZO and chahrazad DAHMANI
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.

View File

@@ -3,7 +3,7 @@
> A **University of Paris-Est Créteil (UPEC)** Semester 6 project. > A **University of Paris-Est Créteil (UPEC)** Semester 6 project.
## Documentation ## Documentation
- 🇫🇷 [Version Française](https://guezoloic.github.io/millesima-ai-engine) - 🇫🇷 [Version Française](https://millesima-ai.github.guezoloic.com)
> note: only french version enabled for now. > note: only french version enabled for now.
--- ---
@@ -12,7 +12,7 @@
1. **Clone the repository:** 1. **Clone the repository:**
```bash ```bash
git clone https://github.com/votre-pseudo/millesima-ai-engine.git git clone https://github.com/guezoloic/millesima-ai-engine.git
cd millesima-ai-engine cd millesima-ai-engine
``` ```

View File

@@ -5,12 +5,12 @@ Lobjectif de ce projet est détudier, en utilisant des méthodes dappre
## projet ## projet
<div style="text-align: center;"> <div style="text-align: center;">
<object <object
data="/millesima-ai-engine/projet.pdf" data="/projet.pdf"
type="application/pdf" type="application/pdf"
width="100%" width="100%"
height="1000px" height="1000px"
> >
<p>Votre navigateur ne peut pas afficher ce PDF. <p>Votre navigateur ne peut pas afficher ce PDF.
<a href="/millesima-ai-engine/projet.pdf">Cliquez ici pour le télécharger.</a></p> <a href="/projet.pdf">Cliquez ici pour le télécharger.</a></p>
</object> </object>
</div> </div>

1287
docs/learning.ipynb Normal file

File diff suppressed because one or more lines are too long

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@@ -1,5 +1,5 @@
site_name: "Projet Millesima S6" site_name: "Projet Millesima S6"
site_url: "https://github.guezoloic.com/millesima-ai-engine/" site_url: "https://millesima-ai.github.guezoloic.com"
theme: theme:
name: "material" name: "material"
@@ -7,6 +7,7 @@ theme:
plugins: plugins:
- search - search
- mkdocstrings - mkdocstrings
- mkdocs-jupyter
extra: extra:
generator: false generator: false

View File

@@ -1,11 +1,14 @@
[project] [project]
name = "projet-millesima-s6" name = "millesima-project-s6"
version = "0.1.0" version = "0.1.0"
dependencies = [ dependencies = [
"requests==2.32.5", "requests==2.33.0",
"beautifulsoup4==4.14.3", "beautifulsoup4==4.14.3",
"pandas==2.3.3", "pandas==3.0.1",
"tqdm==4.67.3", "tqdm==4.67.3",
"scikit-learn==1.8.0",
"matplotlib==3.10.8",
"seaborn==0.13.2"
] ]
[tool.pytest.ini_options] [tool.pytest.ini_options]
@@ -13,8 +16,13 @@ pythonpath = "src"
testpaths = ["tests"] testpaths = ["tests"]
[project.optional-dependencies] [project.optional-dependencies]
test = ["pytest==8.4.2", "requests-mock==1.12.1", "flake8==7.3.0"] test = ["pytest==9.0.2", "requests-mock==1.12.1", "flake8==7.3.0"]
doc = ["mkdocs<2.0.0", "mkdocs-material==9.6.23", "mkdocstrings[python]"] doc = [
"mkdocs<2.0.0",
"mkdocs-material==9.7.6",
"mkdocstrings[python]",
"mkdocs-jupyter==0.26.1",
]
[build-system] [build-system]
requires = ["setuptools", "wheel"] requires = ["setuptools", "wheel"]

View File

@@ -92,18 +92,25 @@ class Cleaning:
self._vins = self._vins.join(appellation_dummies) self._vins = self._vins.join(appellation_dummies)
return self 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] def main(filename: str | None = None) -> None:
cleaning: Cleaning = Cleaning(filename) if not filename:
cleaning.drop_empty_appellation() \ if len(argv) != 2:
.fill_missing_scores() \ raise ValueError(f"Usage: {argv[0]} <filename.csv>")
.encode_appellation() \ filename = argv[1]
.getVins() \
.to_csv("clean.csv", index=False) cleaning: Cleaning = (
Cleaning(filename)
.drop_empty_appellation()
.fill_missing_scores()
.encode_appellation()
.drop_empty_price()
)
cleaning.getVins().to_csv("clean.csv", index=False)
if __name__ == "__main__": if __name__ == "__main__":

64
src/learning.py Executable file
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@@ -0,0 +1,64 @@
# from typing import Any, Callable
# from pandas import DataFrame
# from sklearn.linear_model import LinearRegression
# from sklearn.preprocessing import StandardScaler
# from sklearn.model_selection import train_test_split
# from sklearn.pipeline import make_pipeline
# import matplotlib.pyplot as plt
# from cleaning import Cleaning
# 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
# def draw(self, predictions, y_actual):
# plt.figure(figsize=(8, 6))
# plt.scatter(
# predictions,
# y_actual,
# alpha=0.5,
# c="royalblue",
# edgecolors="k",
# label="Vins",
# )
# mn = min(predictions.min(), y_actual.min())
# mx = max(predictions.max(), y_actual.max())
# plt.plot(
# [mn, mx],
# [mn, mx],
# color="red",
# linestyle="--",
# lw=2,
# label="Prédiction Parfaite",
# )
# plt.xlabel("Prix estimés (estim_LR)")
# plt.ylabel("Prix réels (y_test)")
# plt.title("titre")
# plt.legend()
# plt.grid(True, linestyle=":", alpha=0.6)
# plt.show()

View File

@@ -490,11 +490,12 @@ class Scraper:
savestate((page, cache)) savestate((page, cache))
def main() -> None: def main(filename: str | None = None, suburl: str | None = None) -> None:
if len(argv) != 3: if filename is None or suburl is None:
raise ValueError(f"{argv[0]} <filename> <sous-url>") if len(argv) != 3:
filename = argv[1] raise ValueError(f"Usage: python {argv[0]} <filename> <sous-url>")
suburl = argv[2] filename = argv[1]
suburl = argv[2]
scraper: Scraper = Scraper() scraper: Scraper = Scraper()
scraper.getvins(suburl, filename) scraper.getvins(suburl, filename)