Feat: add PyInquirer to setup

recopytex/config.py

@@ -2,16 +2,16 @@
 # encoding: utf-8
 
 NO_ST_COLUMNS = {
-    "term": "Trimestre",
     "assessment": "Nom",
+    "term": "Trimestre",
     "date": "Date",
     "exercise": "Exercice",
     "question": "Question",
     "competence": "Competence",
     "theme": "Domaine",
     "comment": "Commentaire",
-    "score_rate": "Bareme",
     "is_leveled": "Est_nivele",
+    "score_rate": "Bareme",
 }
 
 COLUMNS = {

recopytex/df_marks_manip.py

@@ -44,7 +44,8 @@ def score_to_mark(x):
     if x[COLUMNS["is_leveled"]]:
         if x[COLUMNS["score"]] not in [0, 1, 2, 3]:
             raise ValueError(f"The evaluation is out of range: {x[COLUMNS['score']]} at {x}")
-        return round_half_point(x[COLUMNS["score"]] * x[COLUMNS["score_rate"]] / 3)
+        #return round_half_point(x[COLUMNS["score"]] * x[COLUMNS["score_rate"]] / 3)
+        return round(x[COLUMNS["score"]] * x[COLUMNS["score_rate"]] / 3, 2)
 
     if x[COLUMNS["score"]] > x[COLUMNS["score_rate"]]:
         raise ValueError(

recopytex/scripts/config.py

@@ -0,0 +1,10 @@
+#!/usr/bin/env python
+# encoding: utf-8
+
+import yaml
+
+CONFIGPATH = "recoconfig.yml"
+
+with open(CONFIGPATH, "r") as configfile:
+    config = yaml.load(configfile, Loader=yaml.FullLoader)
+

recopytex/scripts/prepare_csv.py

@@ -0,0 +1,160 @@
+#!/usr/bin/env python
+# encoding: utf-8
+
+import click
+from pathlib import Path
+from datetime import datetime
+from PyInquirer import prompt, print_json
+import pandas as pd
+import numpy as np
+
+from .config import config
+from ..config import NO_ST_COLUMNS
+
+
+class PromptAbortException(EOFError):
+    def __init__(self, message, errors=None):
+
+        # Call the base class constructor with the parameters it needs
+        super(PromptAbortException, self).__init__("Abort questionnary", errors)
+
+
+def get_tribes(answers):
+    """ List tribes based on subdirectory of config["source"] which have an "eleves.csv" file inside """
+    return [
+        p.name for p in Path(config["source"]).iterdir() if (p / "eleves.csv").exists()
+    ]
+
+
+def prepare_csv():
+    items = new_eval()
+
+    item = items[0]
+    # item = {"tribe": "308", "date": datetime.today(), "assessment": "plop"}
+    csv_output = (
+        Path(config["source"])
+        / item["tribe"]
+        / f"{item['date']:%y%m%d}_{item['assessment']}.csv"
+    )
+
+    students = pd.read_csv(Path(config["source"]) / item["tribe"] / "eleves.csv")["Nom"]
+
+    columns = list(NO_ST_COLUMNS.keys())
+    items = [[it[c] for c in columns] for it in items]
+    columns = list(NO_ST_COLUMNS.values())
+    items_df = pd.DataFrame.from_records(items, columns=columns)
+    for s in students:
+        items_df[s] = np.nan
+
+    items_df.to_csv(csv_output, index=False, date_format="%d/%m/%Y")
+    click.echo(f"Saving csv file to {csv_output}")
+
+
+def new_eval(answers={}):
+    click.echo(f"Préparation d'un nouveau devoir")
+
+    eval_questions = [
+        {"type": "input", "name": "assessment", "message": "Nom de l'évaluation",},
+        {
+            "type": "list",
+            "name": "tribe",
+            "message": "Classe concernée",
+            "choices": get_tribes,
+        },
+        {
+            "type": "input",
+            "name": "date",
+            "message": "Date du devoir (%y%m%d)",
+            "default": datetime.today().strftime("%y%m%d"),
+            "filter": lambda val: datetime.strptime(val, "%y%m%d"),
+        },
+        {
+            "type": "list",
+            "name": "term",
+            "message": "Trimestre",
+            "choices": ["1", "2", "3"],
+        },
+    ]
+
+    eval_ans = prompt(eval_questions)
+
+    items = []
+    add_exo = True
+    while add_exo:
+        ex_items = new_exercice(eval_ans)
+        items += ex_items
+        add_exo = prompt(
+            [
+                {
+                    "type": "confirm",
+                    "name": "add_exo",
+                    "message": "Ajouter un autre exercice",
+                    "default": True,
+                }
+            ]
+        )["add_exo"]
+    return items
+
+
+def new_exercice(answers={}):
+    exercise_questions = [
+        {"type": "input", "name": "exercise", "message": "Nom de l'exercice"},
+    ]
+
+    click.echo(f"Nouvel exercice")
+    exercise_ans = prompt(exercise_questions, answers=answers)
+
+    items = []
+
+    add_item = True
+    while add_item:
+        try:
+            item_ans = new_item(exercise_ans)
+        except PromptAbortException:
+            click.echo("Création de l'item annulée")
+        else:
+            items.append(item_ans)
+        add_item = prompt(
+            [
+                {
+                    "type": "confirm",
+                    "name": "add_item",
+                    "message": f"Ajouter un autre item pour l'exercice {exercise_ans['exercise']}",
+                    "default": True,
+                }
+            ]
+        )["add_item"]
+
+    return items
+
+
+def new_item(answers={}):
+    item_questions = [
+        {"type": "input", "name": "question", "message": "Nom de l'item",},
+        {"type": "input", "name": "comment", "message": "Commentaire",},
+        {
+            "type": "list",
+            "name": "competence",
+            "message": "Competence",
+            "choices": ["Cher", "Rep", "Mod", "Rai", "Cal", "Com"],
+        },
+        {"type": "input", "name": "theme", "message": "Domaine",},
+        {
+            "type": "confirm",
+            "name": "is_leveled",
+            "message": "Évaluation par niveau",
+            "default": True,
+        },
+        {"type": "input", "name": "score_rate", "message": "Bareme"},
+        {
+            "type": "confirm",
+            "name": "correct",
+            "message": "Tout est correct?",
+            "default": True,
+        },
+    ]
+    click.echo(f"Nouvelle question pour l'exercice {answers['exercise']}")
+    item_ans = prompt(item_questions, answers=answers)
+    if item_ans["correct"]:
+        return item_ans
+    raise PromptAbortException("Abort item creation")

recopytex/scripts/recopytex.py

@@ -8,10 +8,8 @@ import sys
 import papermill as pm
 from datetime import datetime
 
-CONFIGPATH = "recoconfig.yml"
-
-with open(CONFIGPATH, "r") as config:
-    config = yaml.load(config, Loader=yaml.FullLoader)
+from .prepare_csv import prepare_csv
+from .config import config
 
 
 @click.group()
@@ -26,18 +24,8 @@ def print_config():
     click.echo(config)
 
 
-@cli.command()
-@click.argument("csv_file")
-def report(csv_file):
-    csv = Path(csv_file)
-    if not csv.exists():
-        click.echo(f"{csv_file} does not exists")
-        sys.exit(1)
-    if csv.suffix != ".csv":
-        click.echo(f"{csv_file} has to be a csv file")
-        sys.exit(1)
-
-    csv_file = Path(csv_file)
+def reporting(csv_file):
+    # csv_file = Path(csv_file)
     tribe_dir = csv_file.parent
     csv_filename = csv_file.name.split(".")[0]
 
@@ -46,7 +34,7 @@ def report(csv_file):
     try:
         date = datetime.strptime(date, "%y%m%d")
     except ValueError:
-        date = None
+        date = datetime.today().strptime(date, "%y%m%d")
 
     tribe = str(tribe_dir).split("/")[-1]
 
@@ -60,22 +48,55 @@ def report(csv_file):
         str(template),
         str(dest / f"{assessment}.ipynb"),
         parameters=dict(
-            tribe=tribe, assessment=assessment, date=f"{date:%d/%m/%y}", csv_file=str(csv_file.absolute())
+            tribe=tribe,
+            assessment=assessment,
+            date=f"{date:%d/%m/%y}",
+            csv_file=str(csv_file.absolute()),
         ),
     )
 
-    # with open(csv_file.parent / "description.yml") as f:
-    #     tribe_desc = yaml.load(f, Loader=yaml.FullLoader)
 
-    # template = Path(config["templates"]) / "tpl_student.ipynb"
-    # dest = Path(config["output"]) / tribe / csv_filename / "students"
-    # dest.mkdir(parents=True, exist_ok=True)
+@cli.command()
+@click.argument("target", required=False)
+def report(target=""):
+    """ Make a report for the eval 
 
-    # for st in tribe_desc["students"]:
-    #     click.echo(f"Building {st} report on {assessment}")
-    #     pm.execute_notebook(
-    #         str(template),
-    #         str(dest / f"{st}.ipynb"),
-    #         parameters=dict(tribe=tribe, student=st, source=str(tribe_dir.absolute())),
-    #     )
+    :param target: csv file or a directory where csvs are
+    """
+    try:
+        if target.endswith(".csv"):
+            csv = Path(target)
+            if not csv.exists():
+                click.echo(f"{target} does not exists")
+                sys.exit(1)
+            if csv.suffix != ".csv":
+                click.echo(f"{target} has to be a csv file")
+                sys.exit(1)
+            csvs = [csv]
+        else:
+            csvs = list(Path(target).glob("**/*.csv"))
+    except AttributeError:
+        csvs = list(Path(config["source"]).glob("**/*.csv"))
 
+    for csv in csvs:
+        click.echo(f"Processing {csv}")
+        try:
+            reporting(csv)
+        except pm.exceptions.PapermillExecutionError as e:
+            click.echo(f"Error with {csv}: {e}")
+
+
+@cli.command()
+def prepare():
+    """ Prepare csv file """
+
+    items = prepare_csv() 
+
+    click.echo(items)
+
+
+@cli.command()
+@click.argument("tribe")
+def random_pick(tribe):
+    """ Randomly pick a student """
+    pass

requirements.txt

@@ -1,6 +1,8 @@
 ansiwrap==0.8.4
+appdirs==1.4.3
 attrs==19.1.0
 backcall==0.1.0
+black==19.10b0
 bleach==3.1.0
 certifi==2019.6.16
 chardet==3.0.4
@@ -13,57 +15,62 @@ entrypoints==0.3
 future==0.17.1
 idna==2.8
 importlib-resources==1.0.2
-ipykernel==5.1.1
-ipython==7.7.0
+ipykernel==5.1.3
+ipython==7.11.1
 ipython-genutils==0.2.0
 ipywidgets==7.5.1
-jedi==0.14.1
-Jinja2==2.10.1
-jsonschema==3.0.2
+jedi==0.15.2
+Jinja2==2.10.3
+jsonschema==3.2.0
 jupyter==1.0.0
-jupyter-client==5.3.1
-jupyter-console==6.0.0
-jupyter-core==4.5.0
+jupyter-client==5.3.4
+jupyter-console==6.1.0
+jupyter-core==4.6.1
 jupytex==0.0.3
 kiwisolver==1.1.0
+Markdown==3.1.1
 MarkupSafe==1.1.1
-matplotlib==3.1.1
+matplotlib==3.1.2
 mistune==0.8.4
-nbconvert==5.5.0
-nbformat==4.4.0
-notebook==6.0.0
-numpy==1.17.0
-pandas==0.25.0
+nbconvert==5.6.1
+nbformat==5.0.3
+notebook==6.0.3
+numpy==1.18.1
+pandas==0.25.3
 pandocfilters==1.4.2
-papermill==1.0.1
-parso==0.5.1
-pexpect==4.7.0
+papermill==1.2.1
+parso==0.5.2
+pathspec==0.7.0
+pexpect==4.8.0
 pickleshare==0.7.5
 prometheus-client==0.7.1
-prompt-toolkit==2.0.9
+prompt-toolkit==1.0.14
 ptyprocess==0.6.0
-Pygments==2.4.2
-pyparsing==2.4.2
-pyrsistent==0.15.4
+Pygments==2.5.2
+PyInquirer==1.0.3
+pyparsing==2.4.6
+pyrsistent==0.15.7
 python-dateutil==2.8.0
-pytz==2019.2
-PyYAML==5.1.2
-pyzmq==18.0.2
-qtconsole==4.5.2
--e git+git_opytex:/lafrite/recopytex.git@e9a8310f151ead60434ae944d726a2fd22b23d06#egg=Recopytex
+pytz==2019.3
+PyYAML==5.3
+pyzmq==18.1.1
+qtconsole==4.6.0
+-e git+git_opytex:/lafrite/recopytex.git@7e026bedb24c1ca8bef3b71b3d63f8b0d6916e81#egg=Recopytex
+regex==2020.1.8
 requests==2.22.0
-scipy==1.3.0
-seaborn==0.9.0
+scipy==1.4.1
 Send2Trash==1.5.0
 six==1.12.0
-tenacity==5.0.4
-terminado==0.8.2
-testpath==0.4.2
+tenacity==6.0.0
+terminado==0.8.3
+testpath==0.4.4
 textwrap3==0.9.2
+toml==0.10.0
 tornado==6.0.3
-tqdm==4.32.2
+tqdm==4.41.1
 traitlets==4.3.2
-urllib3==1.25.3
-wcwidth==0.1.7
+typed-ast==1.4.1
+urllib3==1.25.8
+wcwidth==0.1.8
 webencodings==0.5.1
 widgetsnbextension==3.5.1

setup.py

@@ -5,7 +5,7 @@ from setuptools import setup, find_packages
 
 setup(
     name='Recopytex',
-    version='0.1',
+    version='1.1.1',
     description='Assessment analysis',
     author='Benjamin Bertrand',
     author_email='',
@@ -13,6 +13,11 @@ setup(
     include_package_data=True,
     install_requires=[
         'Click',
+        'pandas',
+        'numpy',
+        'papermill',
+        'pyyaml',
+        'PyInquirer',
     ],
     entry_points='''
             [console_scripts]