Feat: remove hard coded field in get_questions_scores
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@ -156,7 +156,7 @@ class CSVLoader(Loader):
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>>> questions = loader.get_exam_questions(exams)
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>>> scores = loader.get_questions_scores(questions)
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>>> scores.columns
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Index(['id', 'origin', 'student_name', 'score'], dtype='object')
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Index(['origin', 'question_id', 'student_name', 'score'], dtype='object')
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>>> scores["student_name"].unique()
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array(['Star Tice', 'Umberto Dingate', 'Starlin Crangle',
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'Humbert Bourcq', 'Gabriella Handyside', 'Stewart Eaves',
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@ -170,20 +170,27 @@ class CSVLoader(Loader):
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group_questions = questions.groupby("origin")
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for origin, questions_df in group_questions:
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scores_df = pd.read_csv(origin)
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student_names = [
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c
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for c in scores_df.columns
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if c not in self._config["csv_fields"].values()
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]
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common_columns = [c for c in questions_df.columns if c in scores_df.columns]
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scores_df = pd.merge(scores_df, questions_df, on=common_columns)
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scores_df = scores_df.drop(
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columns=list(self._config["csv_fields"].values()) + ["exam_id"]
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)
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kept_columns = ["id", "origin"]
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student_names = [c for c in scores_df.columns if c not in kept_columns]
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kept_columns = [c for c in scores_df if c not in student_names]
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scores_df = pd.melt(
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scores_df,
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id_vars=kept_columns,
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value_vars=student_names,
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var_name="student_name",
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value_name="score",
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)
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).rename(columns={"id": "question_id"})
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scores.append(scores_df)
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return pd.concat(scores)
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