recopytex/dashboard/exam_analysis/app.py

@@ -343,7 +343,6 @@ def update_competence_fig(data):
 def save_scores(data, csv):
     try:
         scores = pd.DataFrame.from_records(data)
-        scores = scores_table_column_order(scores)
         scores.to_csv(csv, index=False)
     except:
         return [f"Soucis pour sauvegarder à  {datetime.today()} dans {csv}"]

recopytex/scripts/recopytex.py

@@ -10,6 +10,7 @@ from datetime import datetime
 import yaml
 
 from .getconfig import config, CONFIGPATH
+from .prompts import prompt_exam, prompt_exercise, prompt_validate
 from ..config import NO_ST_COLUMNS
 from .exam import Exam
 from ..dashboard.index import app as dash
@@ -36,6 +37,55 @@ def setup():
             print(f"The file {tribe['students']} does not exists")
 
 
+@cli.command()
+def new_exam():
+    """Create new exam csv file"""
+    exam = Exam(**prompt_exam())
+
+    if exam.path(".yml").exists():
+        print(f"Fichier sauvegarde trouvé à {exam.path('.yml')} -- importation")
+        with open(exam.path(".yml"), "r") as f:
+            for name, questions in yaml.load(f, Loader=yaml.SafeLoader)[
+                "exercices"
+            ].items():
+                exam.add_exercise(name, questions)
+
+        print(exam.themes)
+        # print(yaml.dump(exam.to_dict()))
+
+    exam.write()
+
+    for name, questions in exam.exercices.items():
+        exam.modify_exercise(
+            **prompt_exercise(
+                name=name, completer={"theme": exam.themes}, questions=questions
+            )
+        )
+        exam.write()
+
+    new_exercise = prompt_validate("Ajouter un exercice? ")
+    while new_exercise:
+        exam.add_exercise(
+            **prompt_exercise(len(exam.exercices) + 1, completer={"theme": exam.themes})
+        )
+        exam.write()
+        new_exercise = prompt_validate("Ajouter un exercice? ")
+
+    rows = exam.to_row()
+
+    base_df = pd.DataFrame.from_dict(rows)[NO_ST_COLUMNS.keys()]
+    base_df.rename(columns=NO_ST_COLUMNS, inplace=True)
+
+    students = pd.read_csv(exam.tribe_student_path)["Nom"]
+    for student in students:
+        base_df[student] = ""
+
+    exam.tribe_path.mkdir(exist_ok=True)
+
+    base_df.to_csv(exam.path(".csv"), index=False)
+    print(f"Le fichier note a été enregistré à {exam.path('.csv')}")
+
+
 @cli.command()
 @click.option("--debug", default=0, help="Debug mode for dash")
 def dashboard(debug):

setup.py

@@ -17,6 +17,7 @@ setup(
         'numpy',
         'papermill',
         'pyyaml',
+        'PyInquirer',
     ],
     entry_points='''
             [console_scripts]