121 lines
3.3 KiB
Python
121 lines
3.3 KiB
Python
#!/usr/bin/env python
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# encoding: utf-8
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import click
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from pathlib import Path
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import sys
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import papermill as pm
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import pandas as pd
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from datetime import datetime
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import yaml
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from .getconfig import config, CONFIGPATH
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from .prompts import prompt_exam, prompt_exercise, prompt_validate
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from ..config import NO_ST_COLUMNS
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from .exam import Exam
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@click.group()
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def cli():
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pass
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@cli.command()
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def print_config():
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click.echo(f"Config file is {CONFIGPATH}")
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click.echo("It contains")
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click.echo(config)
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@cli.command()
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def setup():
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"""Setup the environnement using recoconfig.yml"""
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for tribe in config["tribes"]:
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Path(tribe["name"]).mkdir(exist_ok=True)
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if not Path(tribe["students"]).exists():
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print(f"The file {tribe['students']} does not exists")
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@cli.command()
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def new_exam():
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""" Create new exam csv file """
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exam = Exam(**prompt_exam())
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print(f"Sauvegarde temporaire dans {exam.path('.yml')}")
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if exam.path(".yml").exists():
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print(f"Fichier sauvegarde trouvé à {exam.path('.yml')} -- importation")
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with open(exam.path(".yml"), "r") as f:
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for name, questions in yaml.load(f, Loader=yaml.SafeLoader)[
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"exercices"
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].items():
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exam.add_exercise(name, questions)
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# print(yaml.dump(exam.to_dict()))
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for name, questions in exam.exercices.items():
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exam.modify_exercise(**prompt_exercise(name=name, questions=questions))
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new_exercise = prompt_validate("Ajouter un exercice? ")
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while new_exercise:
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exam.add_exercise(**prompt_exercise(len(exam.exercices) + 1))
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new_exercise = prompt_validate("Ajouter un exercice? ")
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print(yaml.dump(exam.to_dict()))
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rows = exam.to_row()
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base_df = pd.DataFrame.from_dict(rows)[NO_ST_COLUMNS.keys()]
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base_df.rename(columns=NO_ST_COLUMNS, inplace=True)
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students = pd.read_csv(exam.tribe_student_path)["Nom"]
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for student in students:
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base_df[student] = ""
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exam.tribe_path.mkdir(exist_ok=True)
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base_df.to_csv(exam.path(".csv"), index=False)
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print(f"Le fichier note a été enregistré à {exam.path('.csv')}")
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@cli.command()
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@click.argument("csv_file")
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def report(csv_file):
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csv = Path(csv_file)
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if not csv.exists():
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click.echo(f"{csv_file} does not exists")
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sys.exit(1)
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if csv.suffix != ".csv":
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click.echo(f"{csv_file} has to be a csv file")
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sys.exit(1)
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csv_file = Path(csv_file)
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tribe_dir = csv_file.parent
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csv_filename = csv_file.name.split(".")[0]
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assessment = str(csv_filename).split("_")[-1].capitalize()
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date = str(csv_filename).split("_")[0]
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try:
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date = datetime.strptime(date, "%y%m%d")
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except ValueError:
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date = None
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tribe = str(tribe_dir).split("/")[-1]
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template = Path(config["templates"]) / "tpl_evaluation.ipynb"
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dest = Path(config["output"]) / tribe / csv_filename
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dest.mkdir(parents=True, exist_ok=True)
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click.echo(f"Building {assessment} ({date:%d/%m/%y}) report")
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pm.execute_notebook(
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str(template),
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str(dest / f"{assessment}.ipynb"),
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parameters=dict(
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tribe=tribe,
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assessment=assessment,
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date=f"{date:%d/%m/%y}",
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csv_file=str(csv_file.absolute()),
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),
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)
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