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Aurélie GABU
Insertion du dataset avec les tables correspondantes et mise en place de la gestion de la BDD via PostgreSQL
23d4613
| import os | |
| import pandas as pd | |
| from dotenv import load_dotenv | |
| from sqlalchemy import create_engine | |
| load_dotenv() | |
| BASE_DIR = os.path.dirname(os.path.abspath(__file__)) | |
| csv_path = os.path.join(BASE_DIR, "dataset_final.csv") | |
| df = pd.read_csv(csv_path, encoding="latin-1") | |
| DB_USER = os.getenv("DB_USER") | |
| DB_PASSWORD = os.getenv("DB_PASSWORD") | |
| DB_HOST = os.getenv("DB_HOST") | |
| DB_PORT = os.getenv("DB_PORT") | |
| DB_NAME = os.getenv("DB_NAME") | |
| DATABASE_URL = (f"postgresql+psycopg2://{DB_USER}:{DB_PASSWORD}"f"@{DB_HOST}:{DB_PORT}/{DB_NAME}") | |
| engine = create_engine(DATABASE_URL) | |
| df.to_sql("employees_dataset", engine, if_exists="replace", index=False) | |
| print("Dataset inséré dans PostgreSQL") | |