Feat: add id to exam and questions
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@ -3,6 +3,7 @@
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import yaml
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import os
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import uuid
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from pathlib import Path
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import pandas as pd
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from .. import Loader
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@ -62,12 +63,15 @@ class CSVLoader(Loader):
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"""Get exams list
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:param tribes: get only exams for those tribes
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:return: list of dictionaries of exams (fields: `["exam", "tribe", "date", "term", "score_file"]`)
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:return: dataframe of exams
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:example:
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>>> loader = CSVLoader("./test_config.yml")
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>>> loader.get_exams(["Tribe1"])
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Nom Date Trimestre score_file tribe
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>>> exams = loader.get_exams(["Tribe1"])
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>>> exams.columns
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Index(['Nom', 'Date', 'Trimestre', 'origin', 'tribe', 'id'], dtype='object')
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>>> exams.loc[:, exams.columns!="id"]
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Nom Date Trimestre origin tribe
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0 DS 12/01/2021 1 example/Tribe1/210112_DS.csv Tribe1
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0 DS6 22/01/2021 1 example/Tribe1/210122_DS6.csv Tribe1
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"""
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@ -79,8 +83,9 @@ class CSVLoader(Loader):
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fields = self.reverse_csv_field(["exam", "date", "term"])
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exam = extract_fields(csv, fields)
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exam = self.rename_columns(exam)
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exam["score_file"] = csv
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exam["origin"] = csv
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exam["tribe"] = tribe
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exam["id"] = uuid.uuid4()
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exams.append(exam)
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return pd.concat(exams)
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@ -91,24 +96,31 @@ class CSVLoader(Loader):
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"""
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return ""
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def get_exam_questions(self, score_files=[]):
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def get_exam_questions(self, exams=[]):
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"""Get questions for exams stored in score_files
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:param exams: questions for those exams only
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:param exams: list of exams metadatas (need origin field to find the csv)
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:example:
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>>> loader = CSVLoader()
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>>> loader.get_exam_questions(["example/Tribe1/210112_DS.csv"])
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Exercice Question Competence ... Commentaire Bareme Est_nivele
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0 Exercice 1 1 Calculer ... Coucou 1 1
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1 Exercice 1 2 Calculer ... Coucou 1 1
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2 Exercice 1 3 Calculer ... Coucou 1 1
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3 Exercice 1 3 Calculer ... DChic 1 1
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<BLANKLINE>
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[4 rows x 7 columns]
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>>> loader = CSVLoader("./test_config.yml")
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>>> exams = loader.get_exams(["Tribe1"])
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>>> loader.get_exam_questions([exams.iloc[0]]).columns
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Index(['Exercice', 'Question', 'Competence', 'Domaine', 'Commentaire',
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'Bareme', 'Est_nivele', 'origin', 'exam_id', 'id'],
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dtype='object')
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>>> questions = loader.get_exam_questions(exams)
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>>> questions.columns
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Index(['Exercice', 'Question', 'Competence', 'Domaine', 'Commentaire',
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'Bareme', 'Est_nivele', 'origin', 'exam_id', 'id'],
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dtype='object')
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"""
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try:
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_exams = [e[1] for e in exams.iterrows()]
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except AttributeError:
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_exams = exams
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questions = []
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for score_file in score_files:
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for exam in _exams:
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fields = self.reverse_csv_field(
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[
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"exercise",
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@ -120,8 +132,11 @@ class CSVLoader(Loader):
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"is_leveled",
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]
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)
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question = extract_fields(score_file, fields)
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question = extract_fields(exam["origin"], fields)
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question = self.rename_columns(question)
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question["origin"] = exam["origin"]
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question["exam_id"] = exam["id"]
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question["id"] = uuid.uuid4()
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questions.append(question)
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return pd.concat(questions)
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