Feat: can read exam config from yaml
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@ -52,18 +52,37 @@ def exam_dict2row(exam):
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return rows
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return rows
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def get_exam_name(exam):
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""" Get exam name from exam data """
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return f"{exam['date'].strftime('%y%m%d')}_{exam['name']}"
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def get_tribe_path(exam):
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""" Get tribe path from exam data """
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return Path(config["source"]) / exam["tribe"]["name"]
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def get_exam_path(exam, extention=""):
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return get_tribe_path(exam)/ (get_exam_name(exam) + extention)
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@cli.command()
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@cli.command()
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def new_exam():
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def new_exam():
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""" Create new exam csv file """
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""" Create new exam csv file """
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exam = prompt_exam()
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exam = prompt_exam()
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if get_exam_path(exam, ".yml").exists():
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with open(get_exam_path(exam, ".yml"), "r") as f:
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exam["exercices"] = yaml.load(f, Loader=yaml.SafeLoader)["exercices"]
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else:
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exam["exercices"] = []
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exam["exercices"] = []
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for i, ex in enumerate(exam["exercices"]):
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exam["exercices"][i] = prompt_exercise(**ex)
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new_exercise = prompt_validate("Ajouter un exercice? ")
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new_exercise = prompt_validate("Ajouter un exercice? ")
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while new_exercise:
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while new_exercise:
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exam["exercices"].append(prompt_exercise(len(exam["exercices"])+1))
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exam["exercices"].append(prompt_exercise(len(exam["exercices"])+1))
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new_exercise = prompt_validate("Ajouter un exercice? ")
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new_exercise = prompt_validate("Ajouter un exercice? ")
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print(yaml.dump(exam))
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rows = exam_dict2row(exam)
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rows = exam_dict2row(exam)
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@ -77,7 +96,7 @@ def new_exam():
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path = Path(config["source"]) / exam["tribe"]["name"]
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path = Path(config["source"]) / exam["tribe"]["name"]
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path.mkdir(exist_ok=True)
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path.mkdir(exist_ok=True)
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dest = path / f"{exam['date'].strftime('%y%m%d')}_{exam['name']}.csv"
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dest = path / get_exam_name(exam) + ".csv"
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base_df.to_csv(dest, index=False)
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base_df.to_csv(dest, index=False)
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print(f"Le fichier note a été enregistré à {dest}")
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print(f"Le fichier note a été enregistré à {dest}")
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