Feat: rename store to database and fix exam and question ids
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@ -71,13 +71,13 @@ class Loader(ABC):
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"""
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pass
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@abstractmethod
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def get_student_scores(self, student):
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"""Get scores of the student
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# @abstractmethod
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# def get_student_scores(self, student):
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# """Get scores of the student
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:param student:
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"""
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pass
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# :param student:
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# """
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# pass
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class Writer(ABC):
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@ -42,3 +42,6 @@ csv_fields: # dataframe_field: csv_field
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score_rate: Bareme
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is_leveled: Est_nivele
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id_templates:
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exam: "{name}_{tribe}"
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question: "{exam_id}_{exercise}_{question}_{comment}"
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@ -3,6 +3,7 @@
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import pandas as pd
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from pathlib import Path
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from unidecode import unidecode
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__all__ = ["list_csvs", "extract_fields"]
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@ -38,3 +39,14 @@ def extract_fields(csv_filename, fields=[], remove_duplicates=True):
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if remove_duplicates:
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return df.drop_duplicates()
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return df
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def build_id(template, element):
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"""Build an id from template to the element
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:example:
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>>> element = {"name": "pléà", "place": "here", "foo":"bar"}
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>>> build_id("{name} {place}", element)
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'plea_here'
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"""
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return unidecode(template.format(**element)).replace(" ", "_")
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@ -7,7 +7,7 @@ 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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from .lib import *
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from .lib import list_csvs, extract_fields, build_id
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DEFAULT_CONFIG_FILE = os.path.join(os.path.dirname(__file__), "default_config.yml")
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@ -31,11 +31,10 @@ class CSVLoader(Loader):
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:example:
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>>> loader = CSVLoader()
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>>> loader.get_config()
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{'source': './', 'competences': {'Chercher': {'name': 'Chercher', 'abrv': 'Cher'}, 'Représenter': {'name': 'Représenter', 'abrv': 'Rep'}, 'Modéliser': {'name': 'Modéliser', 'abrv': 'Mod'}, 'Raisonner': {'name': 'Raisonner', 'abrv': 'Rai'}, 'Calculer': {'name': 'Calculer', 'abrv': 'Cal'}, 'Communiquer': {'name': 'Communiquer', 'abrv': 'Com'}}, 'valid_scores': {'BAD': 0, 'FEW': 1, 'NEARLY': 2, 'GOOD': 3, 'NOTFILLED': None, 'NOANSWER': '.', 'ABS': 'a'}, 'csv_fields': {'term': 'Trimestre', 'exam': 'Nom', 'date': 'Date', 'exercise': 'Exercice', 'question': 'Question', 'competence': 'Competence', 'theme': 'Domaine', 'comment': 'Commentaire', 'score_rate': 'Bareme', 'is_leveled': 'Est_nivele'}}
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{'source': './', 'competences': {'Chercher': {'name': 'Chercher', 'abrv': 'Cher'}, 'Représenter': {'name': 'Représenter', 'abrv': 'Rep'}, 'Modéliser': {'name': 'Modéliser', 'abrv': 'Mod'}, 'Raisonner': {'name': 'Raisonner', 'abrv': 'Rai'}, 'Calculer': {'name': 'Calculer', 'abrv': 'Cal'}, 'Communiquer': {'name': 'Communiquer', 'abrv': 'Com'}}, 'valid_scores': {'BAD': 0, 'FEW': 1, 'NEARLY': 2, 'GOOD': 3, 'NOTFILLED': None, 'NOANSWER': '.', 'ABS': 'a'}, 'csv_fields': {'term': 'Trimestre', 'exam': 'Nom', 'date': 'Date', 'exercise': 'Exercice', 'question': 'Question', 'competence': 'Competence', 'theme': 'Domaine', 'comment': 'Commentaire', 'score_rate': 'Bareme', 'is_leveled': 'Est_nivele'}, 'id_templates': {'exam': '{name}_{tribe}', 'question': '{exam_id}_{exercise}_{question}_{comment}'}}
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>>> loader = CSVLoader("./test_config.yml")
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>>> loader.get_config()
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{'source': './example', 'competences': {'Chercher': {'name': 'Chercher', 'abrv': 'Cher'}, 'Représenter': {'name': 'Représenter', 'abrv': 'Rep'}, 'Modéliser': {'name': 'Modéliser', 'abrv': 'Mod'}, 'Raisonner': {'name': 'Raisonner', 'abrv': 'Rai'}, 'Calculer': {'name': 'Calculer', 'abrv': 'Cal'}, 'Communiquer': {'name': 'Communiquer', 'abrv': 'Com'}}, 'valid_scores': {'BAD': 0, 'FEW': 1, 'NEARLY': 2, 'GOOD': 3, 'NOTFILLED': None, 'NOANSWER': '.', 'ABS': 'a'}, 'csv_fields': {'term': 'Trimestre', 'exam': 'Nom', 'date': 'Date', 'exercise': 'Exercice', 'question': 'Question', 'competence': 'Competence', 'theme': 'Domaine', 'comment': 'Commentaire', 'score_rate': 'Bareme', 'is_leveled': 'Est_nivele'}, 'output': './output', 'templates': 'templates/', 'tribes': {'Tribe1': {'name': 'Tribe1', 'type': 'Type1', 'students': 'tribe1.csv'}, 'Tribe2': {'name': 'Tribe2', 'students': 'tribe2.csv'}}}
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{'source': './example', 'competences': {'Chercher': {'name': 'Chercher', 'abrv': 'Cher'}, 'Représenter': {'name': 'Représenter', 'abrv': 'Rep'}, 'Modéliser': {'name': 'Modéliser', 'abrv': 'Mod'}, 'Raisonner': {'name': 'Raisonner', 'abrv': 'Rai'}, 'Calculer': {'name': 'Calculer', 'abrv': 'Cal'}, 'Communiquer': {'name': 'Communiquer', 'abrv': 'Com'}}, 'valid_scores': {'BAD': 0, 'FEW': 1, 'NEARLY': 2, 'GOOD': 3, 'NOTFILLED': None, 'NOANSWER': '.', 'ABS': 'a'}, 'csv_fields': {'term': 'Trimestre', 'exam': 'Nom', 'date': 'Date', 'exercise': 'Exercice', 'question': 'Question', 'competence': 'Competence', 'theme': 'Domaine', 'comment': 'Commentaire', 'score_rate': 'Bareme', 'is_leveled': 'Est_nivele'}, 'id_templates': {'exam': '{name}_{tribe}', 'question': '{exam_id}_{exercise}_{question}_{comment}'}, 'output': './output', 'templates': 'templates/', 'tribes': {'Tribe1': {'name': 'Tribe1', 'type': 'Type1', 'students': 'tribe1.csv'}, 'Tribe2': {'name': 'Tribe2', 'students': 'tribe2.csv'}}}
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"""
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CONFIG = DEFAULT_CONFIG
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@ -45,8 +44,18 @@ class CSVLoader(Loader):
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return self._config
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def rename_columns(self, dataframe):
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"""Rename dataframe column to match with `csv_fields` """
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return dataframe.rename(columns=self._config["csv_fields"])
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"""Rename dataframe column to match with `csv_fields`
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:param dataframe: the dataframe
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:example:
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>>> loader = CSVLoader()
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>>>
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"""
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return dataframe.rename(
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columns={v: k for k, v in self._config["csv_fields"].items()}
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)
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def reverse_csv_field(self, keys):
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""" Reverse csv field from keys """
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@ -76,11 +85,11 @@ class CSVLoader(Loader):
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>>> loader = CSVLoader("./test_config.yml")
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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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Index(['name', 'date', 'term', 'origin', 'tribe', 'id'], dtype='object')
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>>> exams
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name date term origin tribe id
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0 DS 12/01/2021 1 example/Tribe1/210112_DS.csv Tribe1 DS_Tribe1
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0 DS6 22/01/2021 1 example/Tribe1/210122_DS6.csv Tribe1 DS6_Tribe1
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"""
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exams = []
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for tribe in tribes:
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@ -90,9 +99,12 @@ 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 = exam.rename(columns={"exam": "name"})
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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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exam["id"] = build_id(
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self._config["id_templates"]["exam"], exam.iloc[0]
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)
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exams.append(exam)
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return pd.concat(exams)
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@ -105,14 +117,22 @@ class CSVLoader(Loader):
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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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Index(['exercise', 'question', 'competence', 'theme', 'comment', 'score_rate',
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'is_leveled', '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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>>> questions.iloc[0]
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exercise Exercice 1
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question 1
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competence Calculer
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theme Plop
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comment Coucou
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score_rate 1.0
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is_leveled 1.0
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origin example/Tribe1/210112_DS.csv
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exam_id DS_Tribe1
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id DS_Tribe1_Exercice_1_1_Coucou
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Name: 0, dtype: object
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"""
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_exams = maybe_dataframe(exams)
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@ -133,7 +153,9 @@ class CSVLoader(Loader):
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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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question["id"] = build_id(
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self._config["id_templates"]["question"], question.iloc[0]
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)
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questions.append(question)
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return pd.concat(questions)
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@ -149,7 +171,10 @@ class CSVLoader(Loader):
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>>> questions = loader.get_exam_questions(exams)
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>>> scores = loader.get_questions_scores(questions)
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>>> scores.columns
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Index(['origin', 'question_id', 'student_name', 'score'], dtype='object')
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Index(['term', 'exam', 'date', 'exercise', 'question', 'competence', 'theme',
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'comment', 'score_rate', 'is_leveled', 'origin', 'exam_id',
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'question_id', 'student_name', 'score'],
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dtype='object')
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>>> scores["student_name"].unique()
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array(['Star Tice', 'Umberto Dingate', 'Starlin Crangle',
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'Humbert Bourcq', 'Gabriella Handyside', 'Stewart Eaves',
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@ -163,17 +188,15 @@ class CSVLoader(Loader):
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group_questions = questions.groupby("origin")
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for origin, questions_df in group_questions:
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scores_df = pd.read_csv(origin)
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scores_df = self.rename_columns(scores_df)
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student_names = [
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c
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for c in scores_df.columns
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if c not in self._config["csv_fields"].values()
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if c not in self._config["csv_fields"].keys()
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]
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common_columns = [c for c in questions_df.columns if c in scores_df.columns]
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scores_df = pd.merge(scores_df, questions_df, on=common_columns)
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scores_df = scores_df.drop(
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columns=list(self._config["csv_fields"].values()) + ["exam_id"]
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)
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kept_columns = [c for c in scores_df if c not in student_names]
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scores_df = pd.melt(
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@ -182,8 +205,9 @@ class CSVLoader(Loader):
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value_vars=student_names,
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var_name="student_name",
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value_name="score",
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).rename(columns={"id": "question_id"})
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)
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scores_df = scores_df.rename(columns={"id": "question_id"})
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scores.append(scores_df)
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return pd.concat(scores)
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@ -209,3 +233,7 @@ class CSVLoader(Loader):
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students.append(students_df)
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return pd.concat(students)
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def get_student_scores(self, student=[]):
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"""Get all scores for students"""
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pass
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