final rework

README.md

@@ -52,6 +52,7 @@ Crée un fichier **.env** à la racine :
 DATABASE_URL=postgresql+psycopg2://futu:futu_pass@localhost:5432/futurisys
 # Hugging Face
 HF_TOKEN= Token Hugging Face
+HF_REPO_ID= Repo Hugging Face
 ~~~
 
 
@@ -62,7 +63,6 @@ sudo docker compose up -d
 ~~~
 
 🗄️ Base de données
-## 📊 Modèle de données
 
 ~~~mermaid
 classDiagram
@@ -178,12 +178,32 @@ classDiagram
   MLInput "1" --> "0..*" MLOutput
 ~~~
 
-### 5. Lancer l’API
+### 5. Lancer Migrations
+
+~~~bash
+export DATABASE_URL='postgresql+asyncpg://futu:futu_pass@localhost:5432/futurisys'
+poetry run alembic upgrade head
+~~~
+
+### 6. Lancer Seeder
+
+~~~bash
+export DATABASE_URL='postgresql+psycopg2://futu:futu_pass@localhost:5432/futurisys'
+poetry run python src/seeds/ml_models_seed.py 
+~~~
+
+### 7. Lancer l’API
 
 ~~~bash
 poetry run uvicorn main:app --reload --app-dir src
 ~~~
 
+### 8. Huggings Face
+
+Pour générer les artefacts, exécuter les notebooks de machine learning.
+
+Sur Hugging Face (Models), stocker les artefacts du modèle dans le dépôt du Space (models/) et nommer le fichier exactement comme le nom du modèle en base de données.
+
 
 ### 🧹 Qualité de code
 

notebook/1_Analyse.ipynb

@@ -16,7 +16,7 @@
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@@ -543,7 +543,7 @@
        "Name: count, dtype: int64"
       ]
      },
-     "execution_count": 20,
+     "execution_count": 14,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -571,7 +571,7 @@
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+   "execution_count": 33,
    "metadata": {},
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     {
@@ -1322,7 +1322,7 @@
        "['df.joblib']"
       ]
      },
-     "execution_count": 39,
+     "execution_count": 33,
      "metadata": {},
      "output_type": "execute_result"
     }

notebook/2_Nettoyage_Standardisation.ipynb

@@ -16,7 +16,7 @@
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        "['df.joblib']"
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      "metadata": {},
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notebook/3_Feature_Engineering.ipynb

@@ -234,9 +234,9 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/tmp/ipykernel_59311/3338083500.py:6: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.\n",
+      "/tmp/ipykernel_256586/3338083500.py:6: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.\n",
       "  proba_depart_sat = df.groupby('tranche_sat_mean')['a_quitte_l_entreprise'].mean()\n",
-      "/tmp/ipykernel_59311/3338083500.py:9: FutureWarning: \n",
+      "/tmp/ipykernel_256586/3338083500.py:9: FutureWarning: \n",
       "\n",
       "Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `x` variable to `hue` and set `legend=False` for the same effect.\n",
       "\n",

pyproject.toml

@@ -4,6 +4,7 @@ version = "0.1.0"
 description = ""
 authors = ["marintosti12 <marintosti12@gmail.com>"]
 readme = "README.md"
+package-mode = false
 
 [tool.poetry.dependencies]
 python = "^3.12"

src/controllers/predict_controller.py

@@ -3,7 +3,6 @@ from fastapi import APIRouter, Depends, HTTPException, Body, status
 from config.db import get_db
 from models.ml import MLModel 
 
-# Schemas
 from models.ml_inputs import MLInput
 from models.ml_output import MLOutput