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| """ | |
| Récupère les données de recommandations | |
| """ | |
| from typing import List | |
| import pandas as pd | |
| from src.dto.Recommendation import Recommendation | |
| recommendationFile = pd.read_csv("./assets/data/recommendations.csv") | |
| def get_recommendations() -> List[Recommendation]: | |
| """ | |
| Récupère la liste de recommandations liée à l'utilisation de LLM | |
| """ | |
| recommandations = [] | |
| for _, row in recommendationFile.iterrows(): | |
| recommandations.append( | |
| Recommendation( | |
| type=row.Type, topic=row.Topic, example=row.Example, | |
| expectedReduction=row["Expected reduction"])) | |
| return recommandations | |