Feat: import html for 404 layout

see https://dash.plotly.com/urls

.gitignore

@@ -123,5 +123,6 @@ dmypy.json
 # Pyre type checker
 .pyre/
 
-# temporary database
-sqlite.db
+# vim
+.vim
+

.pre-commit-config.yaml

@@ -1,19 +0,0 @@
-# See https://pre-commit.com for more information
-# See https://pre-commit.com/hooks.html for more hooks
-repos:
-  - repo: https://github.com/pre-commit/pre-commit-hooks
-    rev: v4.0.1
-    hooks:
-      - id: check-toml
-      - id: check-yaml
-      - id: end-of-file-fixer
-      - id: mixed-line-ending
-  - repo: https://github.com/psf/black
-    rev: 22.3.0
-    hooks:
-      - id: black
-  - repo: https://github.com/PyCQA/isort
-    rev: 5.10.1
-    hooks:
-      - id: isort
-        args: ["--profile", "black"]

README.md

@@ -1,19 +1,34 @@
-# Recopytex
+# Encore une autre façon d'enregistrer et d'analyser mes notes
 
-One more rewrite of Opytex. This time, it more a learning project than a operational project.
+Cette fois ci, on utilise:
 
-I am following the book *Architecture Patterns with Python* by Harry J.W. Percival and Bob Gregory. Then the project will follow TTD method using DDD.
+- Des fichiers csv pour stocker les notes
+- Des fichiers yaml pour les infos sur les élèves
+- Des notebooks pour l'analyse
+- Papermill pour produire les notesbooks à partir de template
 
-## Backend API
+## Les fichiers CSV
 
-It uses **fastapi**, **sqlalchemy**.
+les paramètres sont décris dans ./recopytex/config.py
 
-### Installing
+### Descriptions des questions
 
-    poetry install
+- Trimestre
+- Nom
+- Date
+- Exercice
+- Question
+- Competence
+- Domaine
+- Commentaire
+- Bareme
+- Est_nivele
 
-### Fire up
 
-    uvicorn backend.api.main:app --reload
+### Valeurs pour notes les élèves
+
+- Score: 0, 1, 2, 3
+- Pas de réponses: .
+- Absent: a
+- Dispensé: (vide)
 
-## Frontend

backend/adapters/orm.py

@@ -1,49 +0,0 @@
-from sqlalchemy import Column, ForeignKey, MetaData, String, Table
-from sqlalchemy.orm import backref, registry, relationship
-
-from backend.model.assessment import Assessment
-from backend.model.student import Student
-from backend.model.tribe import Tribe
-
-metadata = MetaData()
-mapper_registry = registry()
-
-tribes_table = Table(
-    "tribes",
-    metadata,
-    Column("name", String(255), primary_key=True),
-    Column("level", String(255)),
-)
-
-assessments_table = Table(
-    "assessments",
-    metadata,
-    Column("id", String(255), primary_key=True),
-    Column("name", String(255)),
-    Column("tribe_name", String(255), ForeignKey("tribes.name")),
-)
-
-students_table = Table(
-    "students",
-    metadata,
-    Column("id", String(255), primary_key=True),
-    Column("name", String(255)),
-    Column("tribe_name", String(255), ForeignKey("tribes.name")),
-)
-
-
-def start_mappers():
-    tribes_mapper = mapper_registry.map_imperatively(
-        Tribe,
-        tribes_table,
-        properties={
-            "students": relationship(
-                Student, backref="tribes", order_by=students_table.c.id
-            ),
-            "assessments": relationship(
-                Assessment, backref="tribes", order_by=assessments_table.c.id
-            ),
-        },
-    )
-    students_mapper = mapper_registry.map_imperatively(Student, students_table)
-    assessments_mapper = mapper_registry.map_imperatively(Assessment, assessments_table)

backend/adapters/sqlite.py

@@ -1,33 +0,0 @@
-import sqlite3
-
-
-def create_tribe_table(conn) -> None:
-    cursor = conn.cursor()
-    cursor.execute(
-        """
-    CREATE TABLE IF NOT EXISTS tribes(
-     name VARCHAR PRIMARY KEY UNIQUE,
-     level VARCHAR
-    )
-    """
-    )
-    conn.commit()
-
-
-def create_student_table(conn) -> None:
-    cursor = conn.cursor()
-    cursor.execute(
-        """
-    CREATE TABLE IF NOT EXISTS students(
-     id VARCHAR(500) PRIMARY KEY UNIQUE,
-     name VARCHAR,
-     tribe_name VARCHAR
-    )
-    """
-    )
-    conn.commit()
-
-
-def create_db(conn) -> None:
-    create_tribe_table(conn)
-    create_student_table(conn)

backend/api/main.py

@@ -1,194 +0,0 @@
-import sqlite3
-
-from fastapi import FastAPI, status
-from fastapi.responses import JSONResponse, RedirectResponse, Response
-
-from backend.adapters.sqlite import create_db
-from backend.api.model import StudentModel, TribeModel
-from backend.model.student import Student
-from backend.model.tribe import Tribe
-from backend.repository.student_sqlite_repository import StudentSQLiteRepository
-from backend.repository.tribe_sqlite_repository import (
-    TribeRepositoryError,
-    TribeSQLiteRepository,
-)
-from backend.service import services
-from backend.service.services import StudentDoesExist, TribeDoesNotExist, TribeExists
-
-# from sqlalchemy import create_engine
-# from sqlalchemy.orm import clear_mappers, sessionmaker
-# import backend.adapters.orm as orm
-# from backend.repository.tribe_sqlalchemy_repository import TribeSQLAlchemyRepository
-
-# orm.start_mappers()
-# engine = create_engine("sqlite:///:memory:")
-# orm.metadata.create_all(engine)
-# session = sessionmaker(bind=engine)()
-# tribe_repo = TribeSQLAlchemyRepository(session)
-
-conn = sqlite3.connect("sqlite.db")
-create_db(conn)
-
-tribe_repo = TribeSQLiteRepository(conn)
-student_repo = StudentSQLiteRepository(conn)
-
-app = FastAPI()
-
-
-@app.post("/tribes", response_class=RedirectResponse, status_code=status.HTTP_302_FOUND)
-async def post_tribe(item: TribeModel):
-    try:
-        tribe = services.add_tribe(
-            name=item.name, level=item.level, tribe_repo=tribe_repo, conn=conn
-        )
-    except TribeExists:
-        return JSONResponse(
-            status_code=status.HTTP_409_CONFLICT,
-            content=f"The tribe {item.name} already exists",
-        )
-
-    return f"/tribes/{tribe.name}"
-
-
-@app.put(
-    "/tribes/{name}", response_class=RedirectResponse, status_code=status.HTTP_302_FOUND
-)
-async def put_tribe(name: str, item: TribeModel):
-    try:
-        tribe = services.update_tribe(
-            name=item.name, level=item.level, tribe_repo=tribe_repo, conn=conn
-        )
-    except TribeDoesNotExist:
-        return JSONResponse(
-            status_code=status.HTTP_409_CONFLICT,
-            content=f"The tribe {name} does not exists",
-        )
-
-    return f"/tribes/{tribe.name}"
-
-
-@app.delete("/tribes/{name}")
-async def delete_tribe(name: str):
-    try:
-        services.delete_tribe(name=name, tribe_repo=tribe_repo, conn=conn)
-    except TribeDoesNotExist:
-        return JSONResponse(
-            status_code=status.HTTP_409_CONFLICT,
-            content=f"The tribe {name} does not exists",
-        )
-
-    return Response(
-        status_code=status.HTTP_204_NO_CONTENT,
-    )
-
-
-@app.get("/tribes", response_model=list[TribeModel])
-async def list_tribes():
-    tribes = tribe_repo.list()
-
-    return [t.to_dict() for t in tribes]
-
-
-@app.get("/tribes/{name}", response_model=TribeModel)
-async def get_tribe(name: str):
-    tribe = tribe_repo.get(name)
-
-    return tribe.to_dict()
-
-
-@app.post(
-    "/students", response_class=RedirectResponse, status_code=status.HTTP_302_FOUND
-)
-async def post_student(item: StudentModel):
-    if item.id is not None:
-        return JSONResponse(
-            status_code=status.HTTP_409_CONFLICT,
-            content=f"You can't post a student with an id. It is already registrered. Use PUT to modify it.",
-        )
-
-    try:
-        student = services.add_student(
-            name=item.name,
-            tribe=item.tribe_name,
-            tribe_repo=tribe_repo,
-            student_repo=student_repo,
-            conn=conn,
-        )
-    except TribeDoesNotExist:
-        return JSONResponse(
-            status_code=status.HTTP_409_CONFLICT,
-            content=f"The tribe {item.tribe_name} does not exists. You can't add a student in it.",
-        )
-
-    return f"/students/{student.id}"
-
-
-@app.get("/students/{id}", status_code=status.HTTP_200_OK, response_model=StudentModel)
-async def get_student(id: str):
-    tribes = tribe_repo.list()
-    student = student_repo.get(id, tribes)
-    return student.to_dict()
-
-
-@app.get("/students", status_code=status.HTTP_200_OK, response_model=list[StudentModel])
-async def list_students():
-    tribes = tribe_repo.list()
-    students = student_repo.list(tribes)
-
-    return [t.to_dict() for t in students]
-
-
-@app.put(
-    "/students/{student_id}",
-    response_class=RedirectResponse,
-    status_code=status.HTTP_302_FOUND,
-)
-async def put_student(student_id, item: StudentModel):
-    if student_id != item.id:
-        return JSONResponse(
-            status_code=status.HTTP_400_BAD_REQUEST,
-            content=f"Url and student id are the same",
-        )
-
-    try:
-        student = services.update_student(
-            id=item.id,
-            name=item.name,
-            tribe=item.tribe_name,
-            tribe_repo=tribe_repo,
-            student_repo=student_repo,
-            conn=conn,
-        )
-    except TribeDoesNotExist:
-        return JSONResponse(
-            status_code=status.HTTP_409_CONFLICT,
-            content=f"The tribe {tribe_name} does not exists. You can't add a student in it.",
-        )
-    except StudentDoesExist:
-        return JSONResponse(
-            status_code=status.HTTP_409_CONFLICT,
-            content=f"The student {item.name} ({item.id=}) does not exists. You can't modify it.",
-        )
-
-    return f"/students/{student.id}"
-
-
-@app.delete(
-    "/students/{student_id}",
-)
-async def delete_student(student_id):
-    try:
-        student = services.delete_student(
-            id=student_id,
-            student_repo=student_repo,
-            conn=conn,
-        )
-    except StudentDoesExist:
-        return JSONResponse(
-            status_code=status.HTTP_409_CONFLICT,
-            content=f"The student ({student_id=}) does not exists. You can't delete it.",
-        )
-
-    return Response(
-        status_code=status.HTTP_204_NO_CONTENT,
-    )

backend/api/model.py

@@ -1,16 +0,0 @@
-from typing import Optional
-
-from pydantic import BaseModel
-
-
-class StudentModel(BaseModel):
-    name: str
-    tribe_name: str
-    id: Optional[str]
-
-
-class TribeModel(BaseModel):
-    name: str
-    level: str
-    students: list[StudentModel] | None = []
-    assessments: list | None = []

backend/config.py

@@ -1,16 +0,0 @@
-import os
-import sqlite3
-
-from backend.adapters.sqlite import create_db
-
-
-def sqlite_conn(sqlite_file: str = ":memory"):
-    conn = sqlite3.connect(sqlite_file)
-    create_db(conn)
-    return conn
-
-
-def get_api_url():
-    host = os.environ.get("API_HOST", "localhost")
-    port = 8000 if host == "localhost" else 80
-    return f"http://{host}:{port}"

backend/model/assessment.py

@@ -1,69 +0,0 @@
-from __future__ import annotations
-
-from dataclasses import dataclass, field
-from datetime import date
-from typing import TYPE_CHECKING, Optional
-
-if TYPE_CHECKING:
-    from backend.model.tribe import Tribe
-
-
-@dataclass
-class Assessment:
-    name: str
-    tribe: Tribe
-    term: int
-    exercises: list[Exercise] = field(default_factory=list)
-
-    def __post_init__(self) -> None:
-        self.tribe.register_assessment(self)
-
-    def register_exercise(self, exercise: Exercise):
-        self.exercises.append(exercise)
-
-    @property
-    def questions(self):
-        return sum([exercise.questions for exercise in self.exercises])
-
-
-@dataclass
-class Exercise:
-    name: str
-    assessment: Assessment
-    date: Optional[date]
-    questions: list[Question] = field(default_factory=list)
-
-    def __post_init__(self) -> None:
-        self.assessment.register_exercise(self)
-
-    def register_question(self, question: Question):
-        self.questions.append(question)
-
-
-@dataclass(frozen=True)
-class Domain:
-    name: str
-    description: str
-
-
-@dataclass(frozen=True)
-class Skill:
-    name: str
-    description: str
-
-
-@dataclass
-class Question:
-    name: str
-    exercise: Exercise
-    description: str
-    skill: Skill
-    domain: Domain
-    is_leveled: bool
-    scale: int
-
-    def __post_init__(
-        self,
-    ) -> None:
-
-        self.exercise.register_question(self)

backend/model/student.py

@@ -1,33 +0,0 @@
-from __future__ import annotations
-
-from dataclasses import dataclass, field
-from datetime import datetime
-from typing import TYPE_CHECKING, Optional
-from uuid import UUID, uuid4
-
-if TYPE_CHECKING:
-    from backend.model.tribe import Tribe
-
-
-@dataclass
-class Student:
-    name: str
-    tribe: Tribe
-    id: str = field(default_factory=lambda: str(uuid4()))
-
-    def __post_init__(self) -> None:
-        self.tribe.register_student(self)
-
-    def __eq__(self, other: object) -> bool:
-        if isinstance(other, Student):
-            return self.id == other.id
-        return False
-
-    def __hash__(self) -> int:
-        return hash(self.id)
-
-    def to_tuple(self) -> tuple:
-        return (self.id, self.name, self.tribe.name)
-
-    def to_dict(self, full_tribe=False) -> dict:
-        return {"id": self.id, "name": self.name, "tribe_name": self.tribe.name}

backend/model/tribe.py

@@ -1,55 +0,0 @@
-from __future__ import annotations
-
-from dataclasses import dataclass, field
-from typing import TYPE_CHECKING
-
-if TYPE_CHECKING:
-    from backend.model.assessment import Assessment
-    from backend.model.student import Student
-
-
-class TribeError(Exception):
-    pass
-
-
-@dataclass
-class Tribe:
-    name: str
-    level: str
-    students: list[Student] = field(default_factory=list)
-    assessments: list[Assessment] = field(default_factory=list)
-
-    def register_assessment(self, assessment: Assessment) -> None:
-        self.assessments.append(assessment)
-
-    @property
-    def students_id(self) -> list[str]:
-        return [s.id for s in self.students]
-
-    def register_student(self, student: Student) -> None:
-        """Register a student
-
-        If the student is already registered, it is modified.
-        """
-        try:
-            old_student = next(filter(lambda s: s.id == student.id, self.students))
-        except StopIteration:
-            pass
-        else:
-            self.students.remove(old_student)
-
-        self.students.append(student)
-
-    def __eq__(self, other: object) -> bool:
-        if isinstance(other, Tribe):
-            return self.name == other.name
-        return False
-
-    def __hash__(self) -> int:
-        return hash(self.name)
-
-    def to_dict(self) -> dict:
-        return {"name": self.name, "level": self.level}
-
-    def to_tuple(self) -> tuple:
-        return (self.name, self.level)

backend/repository/abstract_repository.py

@@ -1,23 +0,0 @@
-import abc
-
-
-class AbstractRepository(abc.ABC):
-    @abc.abstractmethod
-    def add(self, element):
-        raise NotImplementedError
-
-    @abc.abstractmethod
-    def update(self, reference, element):
-        raise NotImplementedError
-
-    @abc.abstractmethod
-    def list(self):
-        raise NotImplementedError
-
-    @abc.abstractmethod
-    def get(self, reference):
-        raise NotImplementedError
-
-    @abc.abstractmethod
-    def delete(self, element):
-        raise NotImplementedError

backend/repository/student_sqlite_repository.py

@@ -1,105 +0,0 @@
-from backend.model.student import Student
-from backend.model.tribe import Tribe
-from backend.repository.abstract_repository import AbstractRepository
-
-
-class StudentRepositoryError(Exception):
-    pass
-
-
-class StudentSQLiteRepository(AbstractRepository):
-    def __init__(self, conn) -> None:
-        self.conn = conn
-
-    def add(self, student: Student) -> None:
-        self.conn.execute(
-            """
-        INSERT INTO students(id, name, tribe_name) VALUES (?, ?, ?)
-        """,
-            (
-                student.id,
-                student.name,
-                student.tribe.name,
-            ),
-        )
-
-    def update(self, student: Student) -> None:
-        search_student = self.conn.execute(
-            """
-            SELECT id FROM students WHERE id=:id
-            """,
-            {"id": student.id},
-        ).fetchone()
-
-        if search_student is None:
-            raise StudentRepositoryError(f"The student ({student.id=}) does not exists")
-
-        self.conn.execute(
-            """
-            UPDATE students SET name=:newname, tribe_name=:newtribe WHERE id=:id
-            """,
-            {
-                "newname": student.name,
-                "newtribe": student.tribe.name,
-                "id": student.id,
-            },
-        )
-
-    def _rebuild_student(self, row: tuple, tribes: list[Tribe]) -> Student:
-        print(row)
-        print([t.name for t in tribes])
-        tribe = next(filter(lambda t: t.name == row[2], tribes))
-        return Student(id=row[0], name=row[1], tribe=tribe)
-
-    def get(self, id: str, tribes: list[Tribe]) -> Student:
-        cursor = self.conn.cursor()
-        cursor.execute(
-            """
-        SELECT id, name, tribe_name FROM students WHERE id=?
-        """,
-            (id,),
-        )
-
-        row = cursor.fetchone()
-        if row:
-            return self._rebuild_student(row, tribes)
-
-        raise ValueError(f"The student ({id=}) does not exists")
-
-    def list(self, tribes: list[Tribe]) -> list[Student]:
-        cursor = self.conn.cursor()
-        cursor.execute(
-            """
-        SELECT * FROM students
-        """
-        )
-
-        rows = cursor.fetchall()
-        return [self._rebuild_student(r, tribes) for r in rows]
-
-    def list_id(self):
-        cursor = self.conn.cursor()
-        cursor.execute(
-            """
-        SELECT id FROM students
-        """
-        )
-
-        rows = cursor.fetchall()
-        return [r[0] for r in rows]
-
-    def delete(self, id: str) -> None:
-        students_id = self.list_id()
-        if id not in students_id:
-            raise StudentRepositoryError(
-                f"The student {id} doesn't exists. Can't delete it."
-            )
-
-        self.conn.execute(
-            """
-            DELETE FROM students WHERE id=:id
-            """,
-            {
-                "id": id,
-            },
-        )

backend/repository/tribe_sqlalchemy_repository.py

@@ -1,23 +0,0 @@
-from backend.model.tribe import Tribe
-from backend.repository.abstract_repository import AbstractRepository
-
-
-class TribeSQLAlchemyRepository(AbstractRepository):
-    def __init__(self, session) -> None:
-        self.session = session
-
-    def add(self, tribe: Tribe) -> None:
-        self.session.add(tribe)
-
-    def update(self, name: str, tribe: Tribe) -> None:
-        self.session.query(Tribe).filter_by(name=name).update(tribe.to_dict())
-
-    def get(self, name: str) -> Tribe:
-        return self.session.query(Tribe).filter_by(name=name).one()
-
-    def list(self) -> list[Tribe]:
-        return self.session.query(Tribe).all()
-
-    def delete(self, tribe: Tribe) -> None:
-        the_tribe = self.get(tribe.name)
-        self.session.delete(the_tribe)

backend/repository/tribe_sqlite_repository.py

@@ -1,89 +0,0 @@
-from backend.model.tribe import Tribe
-from backend.repository.abstract_repository import AbstractRepository
-
-
-class TribeRepositoryError(Exception):
-    pass
-
-
-class TribeSQLiteRepository(AbstractRepository):
-    def __init__(self, conn) -> None:
-        self.conn = conn
-
-    def add(self, tribe: Tribe) -> None:
-        tribes = self.list()
-        if tribe.name in map(lambda x: x.name, tribes):
-            raise TribeRepositoryError(
-                f"The tribe {tribe.name} already exists. Can't add it"
-            )
-
-        self.conn.execute(
-            """
-        INSERT INTO tribes(name, level) VALUES (?, ?)
-        """,
-            (
-                tribe.name,
-                tribe.level,
-            ),
-        )
-
-    def update(self, name: str, tribe: Tribe) -> None:
-        tribes = self.list()
-
-        if name not in map(lambda x: x.name, tribes):
-            raise TribeRepositoryError(
-                f"The tribe {name} doesn't exists. Can't update it"
-            )
-
-        self.conn.execute(
-            """
-            UPDATE tribes SET name=:newname, level=:newlevel WHERE name=:name
-            """,
-            {
-                "newname": tribe.name,
-                "newlevel": tribe.level,
-                "name": name,
-            },
-        )
-
-    def get(self, name: str) -> Tribe:
-        cursor = self.conn.cursor()
-        cursor.execute(
-            """
-        SELECT * FROM tribes WHERE name=?
-        """,
-            (name,),
-        )
-
-        row = cursor.fetchone()
-        if row:
-            return Tribe(*row)
-
-        raise TribeRepositoryError(f"The tribe {name} does not exists")
-
-    def list(self) -> list[Tribe]:
-        cursor = self.conn.cursor()
-        cursor.execute(
-            """
-        SELECT * FROM tribes
-        """
-        )
-
-        rows = cursor.fetchall()
-        return [Tribe(*r) for r in rows]
-
-    def delete(self, name: str) -> None:
-        tribes = self.list()
-        if name not in map(lambda x: x.name, tribes):
-            raise TribeRepositoryError(
-                f"The tribe {name} doesn't exists. Can't delete it."
-            )
-
-        self.conn.execute(
-            """
-            DELETE FROM tribes WHERE name=:name
-            """,
-            {
-                "name": name,
-            },
-        )

backend/service/services.py

@@ -1,116 +0,0 @@
-from backend.model.student import Student
-from backend.model.tribe import Tribe
-from backend.repository.abstract_repository import AbstractRepository
-from backend.repository.student_sqlite_repository import StudentRepositoryError
-from backend.repository.tribe_sqlite_repository import TribeRepositoryError
-
-
-class TribeExists(Exception):
-    pass
-
-
-class TribeDoesNotExist(Exception):
-    pass
-
-
-class StudentExists(Exception):
-    pass
-
-
-class StudentDoesExist(Exception):
-    pass
-
-
-def add_tribe(name: str, level: str, tribe_repo: AbstractRepository, conn) -> Tribe:
-    tribe = Tribe(name=name, level=level)
-    try:
-        tribe_repo.add(tribe)
-    except TribeRepositoryError:
-        raise TribeExists(f"The tribe {tribe.name} already exists")
-    conn.commit()
-    return tribe
-
-
-def update_tribe(name: str, level: str, tribe_repo: AbstractRepository, conn) -> Tribe:
-    tribe = Tribe(name=name, level=level)
-    try:
-        tribe_repo.update(name=name, tribe=tribe)
-    except TribeRepositoryError:
-        raise TribeDoesNotExist(f"The tribe {name} does not exists you can't update it")
-    conn.commit()
-    return tribe
-
-
-def delete_tribe(name: str, tribe_repo: AbstractRepository, conn) -> None:
-    try:
-        tribe_repo.delete(name=name)
-    except TribeRepositoryError:
-        raise TribeDoesNotExist(f"The tribe {name} does not exists you can't delete it")
-
-    conn.commit()
-
-
-def add_student(
-    name: str,
-    tribe: str,
-    student_repo: AbstractRepository,
-    tribe_repo: AbstractRepository,
-    conn,
-) -> Student:
-
-    try:
-        _tribe = tribe_repo.get(tribe)
-    except TribeRepositoryError:
-        raise TribeDoesNotExist(
-            f"The tribe {tribe} does not exists. Can't add a student in it"
-        )
-
-    student = Student(name=name, tribe=_tribe)
-
-    try:
-        student_repo.add(student)
-    except StudentRepositoryError:
-        raise StudentExists(f"The student {student.name} already exists. Can't add it.")
-
-    conn.commit()
-    return student
-
-
-def update_student(
-    id: str,
-    name: str,
-    tribe: str,
-    student_repo: AbstractRepository,
-    tribe_repo: AbstractRepository,
-    conn,
-) -> Student:
-    try:
-        _tribe = tribe_repo.get(tribe)
-    except TribeRepositoryError:
-        raise TribeDoesNotExist(
-            f"The tribe {tribe} does not exists. Can't update a student with it"
-        )
-
-    student = Student(id=id, name=name, tribe=_tribe)
-
-    try:
-        student_repo.update(student)
-    except StudentRepositoryError:
-        raise StudentDoesExist(
-            f"The student {student.name} ({student.id=}) does not exists. Can't update it."
-        )
-
-    conn.commit()
-    return student
-
-
-def delete_student(
-    id: str,
-    student_repo: AbstractRepository,
-    conn,
-) -> Student:
-    try:
-        student_repo.delete(id=id)
-    except StudentRepositoryError:
-        raise StudentDoesExist("The student with id {id} does not exists")
-    conn.commit()

example/Tribe1/210112_DS.csv

@@ -0,0 +1,5 @@
+Trimestre,Nom,Date,Exercice,Question,Competence,Domaine,Commentaire,Bareme,Est_nivele,Star Tice,Umberto Dingate,Starlin Crangle,Humbert Bourcq,Gabriella Handyside,Stewart Eaves,Erick Going,Ase Praton,Rollins Planks,Dunstan Sarjant,Stacy Guiton,Ange Stanes,Amabelle Elleton,Darn Broomhall,Dyan Chatto,Keane Rennebach,Nari Paulton,Brandy Wase,Jaclyn Firidolfi,Violette Lockney
+1,DS,12/01/2021,Exercice 1,1,Calculer,Plop,Coucou,1,1,,,1,0,1,2,3,0,3,3,2,,1,,,,,,,
+1,DS,12/01/2021,Exercice 1,2,Calculer,C'est trop chouette!,Coucou,1,1,,,1,2,,,3,3,,,,,2,,,,,,,
+1,DS,12/01/2021,Exercice 1,3,Calculer,Null,Coucou,1,1,,,,3,2,,,,,,,,3,,,,,,,
+1,DS,12/01/2021,Exercice 1,3,Calculer,Nié,DChic,1,1,,,,2,.,,,,,,,,,,,,,,,

example/Tribe1/210122_DS6.csv

@@ -0,0 +1,5 @@
+Trimestre,Nom,Date,Exercice,Question,Competence,Domaine,Commentaire,Bareme,Est_nivele,Star Tice,Umberto Dingate,Starlin Crangle,Humbert Bourcq,Gabriella Handyside,Stewart Eaves,Erick Going,Ase Praton,Rollins Planks,Dunstan Sarjant,Stacy Guiton,Ange Stanes,Amabelle Elleton,Darn Broomhall,Dyan Chatto,Keane Rennebach,Nari Paulton,Brandy Wase,Jaclyn Firidolfi,Violette Lockney
+1,DS6,22/01/2021,Exercice 1,Sait pas,,,,,,,,,,,,,,,,,,,,,,,,,
+1,DS6,22/01/2021,Exercice 1,Ha,,,,,,,,,,,,,,,,,,,,,,,,,
+1,DS6,22/01/2021,Exercice 1,,,,,,,,,,,,,,,,,,,,,,,,,,
+1,DS6,22/01/2021,Exercice 2,grr,,,,,,,,,,,,,,,,,,,,,,,,,

example/recoconfig.yml

@@ -0,0 +1,13 @@
+---
+source: ./
+output: ./
+templates: templates/
+
+tribes:
+    Tribe1:
+        name: Tribe1
+        type: Type1
+        students: tribe1.csv
+    Tribe2:
+        name: Tribe2
+        students: tribe2.csv

example/tribe1.csv

@@ -0,0 +1,21 @@
+Nom,email
+Star Tice,stice0@jalbum.net
+Umberto Dingate,udingate1@tumblr.com
+Starlin Crangle,scrangle2@wufoo.com
+Humbert Bourcq,hbourcq3@g.co
+Gabriella Handyside,ghandyside4@patch.com
+Stewart Eaves,seaves5@ycombinator.com
+Erick Going,egoing6@va.gov
+Ase Praton,apraton7@va.gov
+Rollins Planks,rplanks8@delicious.com
+Dunstan Sarjant,dsarjant9@naver.com
+Stacy Guiton,sguitona@themeforest.net
+Ange Stanes,astanesb@marriott.com
+Amabelle Elleton,aelletonc@squidoo.com
+Darn Broomhall,dbroomhalld@cisco.com
+Dyan Chatto,dchattoe@npr.org
+Keane Rennebach,krennebachf@dot.gov
+Nari Paulton,npaultong@gov.uk
+Brandy Wase,bwaseh@ftc.gov
+Jaclyn Firidolfi,jfiridolfii@reuters.com
+Violette Lockney,vlockneyj@chron.com

example/tribe2.csv

@@ -0,0 +1,21 @@
+Nom,email
+Elle McKintosh,emckintosh0@1und1.de
+Ty Megany,tmegany1@reuters.com
+Pippa Borrows,pborrows2@a8.net
+Sonny Eskrick,seskrick3@123-reg.co.uk
+Mollee Britch,mbritch4@usda.gov
+Ingram Plaistowe,iplaistowe5@purevolume.com
+Fay Vanyard,fvanyard6@sbwire.com
+Nancy Rase,nrase7@omniture.com
+Rachael Ruxton,rruxton8@bravesites.com
+Tallie Rushmer,trushmer9@home.pl
+Seward MacIlhagga,smacilhaggaa@hatena.ne.jp
+Lizette Searl,lsearlb@list-manage.com
+Talya Mannagh,tmannaghc@webnode.com
+Jordan Witherbed,jwitherbedd@unesco.org
+Reagan Botcherby,rbotcherbye@scientificamerican.com
+Libbie Shoulder,lshoulderf@desdev.cn
+Abner Khomich,akhomichg@youtube.com
+Zollie Kitman,zkitmanh@forbes.com
+Fiorenze Durden,fdurdeni@feedburner.com
+Kevyn Race,kracej@seattletimes.com

poetry.lock

@@ -1,872 +0,0 @@
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-
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-
-[package.dependencies]
-idna = ">=2.8"
-sniffio = ">=1.1"
-
-[package.extras]
-doc = ["packaging", "sphinx-autodoc-typehints (>=1.2.0)", "sphinx-rtd-theme"]
-test = ["contextlib2", "coverage[toml] (>=4.5)", "hypothesis (>=4.0)", "mock (>=4)", "pytest (>=7.0)", "pytest-mock (>=3.6.1)", "trustme", "uvloop (<0.15)", "uvloop (>=0.15)"]
-trio = ["trio (>=0.16,<0.22)"]
-
-[[package]]
-name = "attrs"
-version = "22.1.0"
-description = "Classes Without Boilerplate"
-category = "dev"
-optional = false
-python-versions = ">=3.5"
-files = [
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-[package.extras]
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-    {file = "SQLAlchemy-1.4.45-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e91a5e45a2ea083fe344b3503405978dff14d60ef3aa836432c9ca8cd47806b6"},
-    {file = "SQLAlchemy-1.4.45-cp39-cp39-win32.whl", hash = "sha256:0e068b8414d60dd35d43c693555fc3d2e1d822cef07960bb8ca3f1ee6c4ff762"},
-    {file = "SQLAlchemy-1.4.45-cp39-cp39-win_amd64.whl", hash = "sha256:2d6f178ff2923730da271c8aa317f70cf0df11a4d1812f1d7a704b1cf29c5fe3"},
-    {file = "SQLAlchemy-1.4.45.tar.gz", hash = "sha256:fd69850860093a3f69fefe0ab56d041edfdfe18510b53d9a2eaecba2f15fa795"},
-]
-
-[package.dependencies]
-greenlet = {version = "!=0.4.17", markers = "python_version >= \"3\" and (platform_machine == \"aarch64\" or platform_machine == \"ppc64le\" or platform_machine == \"x86_64\" or platform_machine == \"amd64\" or platform_machine == \"AMD64\" or platform_machine == \"win32\" or platform_machine == \"WIN32\")"}
-
-[package.extras]
-aiomysql = ["aiomysql", "greenlet (!=0.4.17)"]
-aiosqlite = ["aiosqlite", "greenlet (!=0.4.17)", "typing-extensions (!=3.10.0.1)"]
-asyncio = ["greenlet (!=0.4.17)"]
-asyncmy = ["asyncmy (>=0.2.3,!=0.2.4)", "greenlet (!=0.4.17)"]
-mariadb-connector = ["mariadb (>=1.0.1,!=1.1.2)"]
-mssql = ["pyodbc"]
-mssql-pymssql = ["pymssql"]
-mssql-pyodbc = ["pyodbc"]
-mypy = ["mypy (>=0.910)", "sqlalchemy2-stubs"]
-mysql = ["mysqlclient (>=1.4.0)", "mysqlclient (>=1.4.0,<2)"]
-mysql-connector = ["mysql-connector-python"]
-oracle = ["cx-oracle (>=7)", "cx-oracle (>=7,<8)"]
-postgresql = ["psycopg2 (>=2.7)"]
-postgresql-asyncpg = ["asyncpg", "greenlet (!=0.4.17)"]
-postgresql-pg8000 = ["pg8000 (>=1.16.6,!=1.29.0)"]
-postgresql-psycopg2binary = ["psycopg2-binary"]
-postgresql-psycopg2cffi = ["psycopg2cffi"]
-pymysql = ["pymysql", "pymysql (<1)"]
-sqlcipher = ["sqlcipher3-binary"]
-
-[[package]]
-name = "starlette"
-version = "0.22.0"
-description = "The little ASGI library that shines."
-category = "main"
-optional = false
-python-versions = ">=3.7"
-files = [
-    {file = "starlette-0.22.0-py3-none-any.whl", hash = "sha256:b5eda991ad5f0ee5d8ce4c4540202a573bb6691ecd0c712262d0bc85cf8f2c50"},
-    {file = "starlette-0.22.0.tar.gz", hash = "sha256:b092cbc365bea34dd6840b42861bdabb2f507f8671e642e8272d2442e08ea4ff"},
-]
-
-[package.dependencies]
-anyio = ">=3.4.0,<5"
-
-[package.extras]
-full = ["httpx (>=0.22.0)", "itsdangerous", "jinja2", "python-multipart", "pyyaml"]
-
-[[package]]
-name = "toml"
-version = "0.10.2"
-description = "Python Library for Tom's Obvious, Minimal Language"
-category = "dev"
-optional = false
-python-versions = ">=2.6, !=3.0.*, !=3.1.*, !=3.2.*"
-files = [
-    {file = "toml-0.10.2-py2.py3-none-any.whl", hash = "sha256:806143ae5bfb6a3c6e736a764057db0e6a0e05e338b5630894a5f779cabb4f9b"},
-    {file = "toml-0.10.2.tar.gz", hash = "sha256:b3bda1d108d5dd99f4a20d24d9c348e91c4db7ab1b749200bded2f839ccbe68f"},
-]
-
-[[package]]
-name = "tomli"
-version = "2.0.1"
-description = "A lil' TOML parser"
-category = "dev"
-optional = false
-python-versions = ">=3.7"
-files = [
-    {file = "tomli-2.0.1-py3-none-any.whl", hash = "sha256:939de3e7a6161af0c887ef91b7d41a53e7c5a1ca976325f429cb46ea9bc30ecc"},
-    {file = "tomli-2.0.1.tar.gz", hash = "sha256:de526c12914f0c550d15924c62d72abc48d6fe7364aa87328337a31007fe8a4f"},
-]
-
-[[package]]
-name = "typing-extensions"
-version = "4.4.0"
-description = "Backported and Experimental Type Hints for Python 3.7+"
-category = "main"
-optional = false
-python-versions = ">=3.7"
-files = [
-    {file = "typing_extensions-4.4.0-py3-none-any.whl", hash = "sha256:16fa4864408f655d35ec496218b85f79b3437c829e93320c7c9215ccfd92489e"},
-    {file = "typing_extensions-4.4.0.tar.gz", hash = "sha256:1511434bb92bf8dd198c12b1cc812e800d4181cfcb867674e0f8279cc93087aa"},
-]
-
-[[package]]
-name = "urllib3"
-version = "1.26.13"
-description = "HTTP library with thread-safe connection pooling, file post, and more."
-category = "dev"
-optional = false
-python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.5.*"
-files = [
-    {file = "urllib3-1.26.13-py2.py3-none-any.whl", hash = "sha256:47cc05d99aaa09c9e72ed5809b60e7ba354e64b59c9c173ac3018642d8bb41fc"},
-    {file = "urllib3-1.26.13.tar.gz", hash = "sha256:c083dd0dce68dbfbe1129d5271cb90f9447dea7d52097c6e0126120c521ddea8"},
-]
-
-[package.extras]
-brotli = ["brotli (>=1.0.9)", "brotlicffi (>=0.8.0)", "brotlipy (>=0.6.0)"]
-secure = ["certifi", "cryptography (>=1.3.4)", "idna (>=2.0.0)", "ipaddress", "pyOpenSSL (>=0.14)", "urllib3-secure-extra"]
-socks = ["PySocks (>=1.5.6,!=1.5.7,<2.0)"]
-
-[[package]]
-name = "uvicorn"
-version = "0.20.0"
-description = "The lightning-fast ASGI server."
-category = "main"
-optional = false
-python-versions = ">=3.7"
-files = [
-    {file = "uvicorn-0.20.0-py3-none-any.whl", hash = "sha256:c3ed1598a5668208723f2bb49336f4509424ad198d6ab2615b7783db58d919fd"},
-    {file = "uvicorn-0.20.0.tar.gz", hash = "sha256:a4e12017b940247f836bc90b72e725d7dfd0c8ed1c51eb365f5ba30d9f5127d8"},
-]
-
-[package.dependencies]
-click = ">=7.0"
-h11 = ">=0.8"
-
-[package.extras]
-standard = ["colorama (>=0.4)", "httptools (>=0.5.0)", "python-dotenv (>=0.13)", "pyyaml (>=5.1)", "uvloop (>=0.14.0,!=0.15.0,!=0.15.1)", "watchfiles (>=0.13)", "websockets (>=10.4)"]
-
-[[package]]
-name = "virtualenv"
-version = "20.17.1"
-description = "Virtual Python Environment builder"
-category = "dev"
-optional = false
-python-versions = ">=3.6"
-files = [
-    {file = "virtualenv-20.17.1-py3-none-any.whl", hash = "sha256:ce3b1684d6e1a20a3e5ed36795a97dfc6af29bc3970ca8dab93e11ac6094b3c4"},
-    {file = "virtualenv-20.17.1.tar.gz", hash = "sha256:f8b927684efc6f1cc206c9db297a570ab9ad0e51c16fa9e45487d36d1905c058"},
-]
-
-[package.dependencies]
-distlib = ">=0.3.6,<1"
-filelock = ">=3.4.1,<4"
-platformdirs = ">=2.4,<3"
-
-[package.extras]
-docs = ["proselint (>=0.13)", "sphinx (>=5.3)", "sphinx-argparse (>=0.3.2)", "sphinx-rtd-theme (>=1)", "towncrier (>=22.8)"]
-testing = ["coverage (>=6.2)", "coverage-enable-subprocess (>=1)", "flaky (>=3.7)", "packaging (>=21.3)", "pytest (>=7.0.1)", "pytest-env (>=0.6.2)", "pytest-freezegun (>=0.4.2)", "pytest-mock (>=3.6.1)", "pytest-randomly (>=3.10.3)", "pytest-timeout (>=2.1)"]
-
-[metadata]
-lock-version = "2.0"
-python-versions = "^3.10"
-content-hash = "dc9cca0226b975a91650ffdc42c0572f04707fc0de80fbcfee9809ebaf34a0bf"

pyproject.toml

@@ -1,24 +0,0 @@
-[tool.poetry]
-name = "backend"
-version = "0.1.0"
-description = ""
-authors = ["Bertrand Benjamin <benjamin.bertrand@opytex.org>"]
-readme = "README.md"
-
-[tool.poetry.dependencies]
-python = "^3.10"
-sqlalchemy = "^1.4.45"
-fastapi = "^0.88.0"
-uvicorn = "^0.20.0"
-
-
-[tool.poetry.group.dev.dependencies]
-pre-commit = "^2.20.0"
-pytest = "^7.2.0"
-faker = "^15.3.4"
-requests = "^2.28.1"
-pytest-cov = "^4.0.0"
-
-[build-system]
-requires = ["poetry-core"]
-build-backend = "poetry.core.masonry.api"

recopytex/dashboard/app.py

@@ -0,0 +1,20 @@
+#!/usr/bin/env python
+# encoding: utf-8
+
+import dash
+import flask
+
+from .layout.layout import layout
+
+server = flask.Flask(__name__)
+app = dash.Dash(
+    __name__,
+    server=server,
+    suppress_callback_exceptions=True,
+    meta_tags=[{"name": "viewport", "content": "width=device-width, initial-scale=1"}],
+)
+
+
+app.layout = layout
+server = app.server
+

recopytex/dashboard/common/formating.py

@@ -0,0 +1,23 @@
+#!/usr/bin/env python
+# encoding: utf-8
+
+
+def highlight_scores(highlight_columns, score_color):
+    """ Cells style in a datatable for scores
+
+    :param highlight_columns: columns to highlight
+    :param value_color: dictionnary {"score": "color"}
+
+    """
+    hight = []
+    for v, color in score_color.items():
+        if v:
+            hight += [
+                {
+                    "if": {"filter_query": "{{{}}} = {}".format(col, v), "column_id": col},
+                    "backgroundColor": color,
+                    "color": "white",
+                }
+                for col in highlight_columns
+            ]
+    return hight

recopytex/dashboard/index.py

@@ -0,0 +1,8 @@
+#!/usr/bin/env python
+# encoding: utf-8
+
+from .app import app, server
+from .routes import render_page_content
+
+if __name__ == "__main__":
+    app.run_server(debug=True)

recopytex/dashboard/layout/layout.py

@@ -0,0 +1,9 @@
+#!/usr/bin/env python
+# encoding: utf-8
+
+import dash_html_components as html
+import dash_core_components as dcc
+
+content = html.Div(id="page-content")
+
+layout = html.Div([dcc.Location(id="url"), content])

recopytex/dashboard/pages/exams_scores/app.py

@@ -0,0 +1,112 @@
+#!/usr/bin/env python
+# encoding: utf-8
+
+import dash_html_components as html
+import dash_core_components as dcc
+from .models import get_tribes, get_exams
+from .callbacks import *
+
+layout = html.Div(
+    children=[
+        html.Header(
+            children=[
+                html.H1("Analyse des notes"),
+                html.P("Dernière sauvegarde", id="lastsave"),
+            ],
+        ),
+        html.Main(
+            children=[
+                html.Section(
+                    children=[
+                        html.Div(
+                            children=[
+                                "Classe: ",
+                                dcc.Dropdown(
+                                    id="tribe",
+                                    options=[
+                                        {"label": t["name"], "value": t["name"]}
+                                        for t in get_tribes().values()
+                                    ],
+                                    value=next(iter(get_tribes().values()))["name"],
+                                ),
+                            ],
+                        ),
+                        html.Div(
+                            children=[
+                                "Evaluation: ",
+                                dcc.Dropdown(id="exam_select"),
+                            ],
+                        ),
+                    ],
+                    id="selects",
+                ),
+                html.Section(
+                    children=[
+                        html.Div(
+                            children=[
+                                dash_table.DataTable(
+                                    id="final_score_table",
+                                    columns=[
+                                        {"name": "Étudiant", "id": "student_name"},
+                                        {"name": "Note", "id": "mark"},
+                                        {"name": "Barème", "id": "score_rate"},
+                                    ],
+                                )
+                            ],
+                            id="final_score_table_container",
+                        ),
+                        html.Div(
+                            children=[
+                                dash_table.DataTable(
+                                    id="score_statistics_table",
+                                    columns=[],
+                                )
+                            ],
+                            id="score_statistics_table_container",
+                        ),
+                        html.Div(
+                            children=[
+                                dcc.Graph(
+                                    id="fig_exam_histo",
+                                    config={"displayModeBar": False},
+                                )
+                            ],
+                            id="fig_exam_histo_container",
+                        ),
+                        html.Div(
+                            children=[
+                                dcc.Graph(
+                                    id="fig_questions_bar",
+                                    config={"displayModeBar": False},
+                                )
+                            ],
+                            id="fig_questions_bar_container",
+                        ),
+                    ],
+                    id="analysis",
+                ),
+                html.Section(
+                    children=[
+                        dash_table.DataTable(
+                            id="scores_table",
+                            columns=[],
+                            style_data_conditional=[],
+                            fixed_columns={},
+                            editable=True,
+                            style_table={"minWidth": "100%"},
+                            style_cell={
+                                "minWidth": "100px",
+                                "width": "100px",
+                                "maxWidth": "100px",
+                                "overflow": "hidden",
+                                "textOverflow": "ellipsis",
+                            },
+                        )
+                    ],
+                    id="edit",
+                ),
+            ],
+        ),
+        dcc.Store(id="scores"),
+    ],
+)

recopytex/dashboard/pages/exams_scores/callbacks.py

@@ -0,0 +1,216 @@
+#!/usr/bin/env python
+# encoding: utf-8
+
+from dash.dependencies import Input, Output, State
+from dash.exceptions import PreventUpdate
+import plotly.graph_objects as go
+import dash_table
+import json
+import pandas as pd
+import numpy as np
+
+from recopytex.dashboard.app import app
+from recopytex.dashboard.common.formating import highlight_scores
+
+from .models import (
+    get_tribes,
+    get_exams,
+    get_unstack_scores,
+    get_students_from_exam,
+    get_score_colors,
+    get_level_color_bar,
+    score_to_final_mark,
+    stack_scores,
+    pivot_score_on,
+)
+
+
+@app.callback(
+    [
+        Output("exam_select", "options"),
+        Output("exam_select", "value"),
+    ],
+    [Input("tribe", "value")],
+)
+def update_exams_choices(tribe):
+    if not tribe:
+        raise PreventUpdate
+    exams = get_exams(tribe)
+    exams.reset_index(inplace=True)
+    if not exams.empty:
+        return [
+            {"label": e["name"], "value": e.to_json()} for i, e in exams.iterrows()
+        ], exams.loc[0].to_json()
+    return [], None
+
+
+@app.callback(
+    [
+        Output("scores_table", "columns"),
+        Output("scores_table", "data"),
+        Output("scores_table", "style_data_conditional"),
+        Output("scores_table", "fixed_columns"),
+    ],
+    [
+        Input("exam_select", "value"),
+    ],
+)
+def update_scores_store(exam):
+    if not exam:
+        return [[], [], [], {}]
+    exam = pd.DataFrame.from_dict([json.loads(exam)])
+    scores = get_unstack_scores(exam)
+    fixed_columns = [
+        "exercise",
+        "question",
+        "competence",
+        "theme",
+        "comment",
+        "score_rate",
+        "is_leveled",
+    ]
+
+    students = list(get_students_from_exam(exam))
+    columns = fixed_columns + students
+
+    score_color = get_score_colors()
+
+    return [
+        [{"id": c, "name": c} for c in columns],
+        scores.to_dict("records"),
+        highlight_scores(students, score_color),
+        {"headers": True, "data": len(fixed_columns)},
+    ]
+
+
+@app.callback(
+    [
+        Output("final_score_table", "data"),
+    ],
+    [
+        Input("scores_table", "data"),
+    ],
+)
+def update_finale_score_table(scores):
+    scores_df = pd.DataFrame.from_records(scores)
+    stacked_scores = stack_scores(scores_df)
+    return score_to_final_mark(stacked_scores)
+
+
+@app.callback(
+    [
+        Output("score_statistics_table", "columns"),
+        Output("score_statistics_table", "data"),
+    ],
+    [
+        Input("final_score_table", "data"),
+    ],
+)
+def update_statictics_table(finale_score):
+    df = pd.DataFrame.from_records(finale_score)
+    statistics = df["mark"].describe().to_frame().T
+    return [
+        [{"id": c, "name": c} for c in statistics.columns],
+        statistics.to_dict("records"),
+    ]
+
+
+@app.callback(
+    [
+        Output("fig_exam_histo", "figure"),
+    ],
+    [
+        Input("final_score_table", "data"),
+    ],
+)
+def update_exam_histo(finale_scores):
+    scores = pd.DataFrame.from_records(finale_scores)
+
+    if scores.empty:
+        return [go.Figure(data=[go.Scatter(x=[], y=[])])]
+
+    ranges = np.linspace(
+        -0.5,
+        scores["score_rate"].max(),
+        int(scores["score_rate"].max() * 2 + 2),
+    )
+
+    bins = pd.cut(scores["mark"], ranges)
+    scores["Bin"] = bins
+    grouped = (
+        scores.reset_index()
+        .groupby("Bin")
+        .agg({"score_rate": "count", "student_name": lambda x: "\n".join(x)})
+    )
+    grouped.index = grouped.index.map(lambda i: i.right)
+    fig = go.Figure()
+    fig.add_bar(
+        x=grouped.index,
+        y=grouped["score_rate"],
+        text=grouped["student_name"],
+        textposition="auto",
+        hovertemplate="",
+        marker_color="#4E89DE",
+    )
+    fig.update_layout(
+        height=300,
+        margin=dict(l=5, r=5, b=5, t=5),
+    )
+    return [fig]
+
+
+@app.callback(
+    [
+        Output("fig_questions_bar", "figure"),
+    ],
+    [
+        Input("scores_table", "data"),
+    ],
+)
+def update_questions_bar(finale_scores):
+    scores = pd.DataFrame.from_records(finale_scores)
+    scores = stack_scores(scores)
+
+    if scores.empty:
+        return [go.Figure(data=[go.Scatter(x=[], y=[])])]
+
+    pt = pivot_score_on(scores, ["exercise", "question", "comment"], "score")
+
+    # separation  between exercises
+    for i in {i for i in pt.index.get_level_values(0)}:
+        pt.loc[(str(i), "", ""), :] = ""
+    pt.sort_index(inplace=True)
+
+    # Bar label
+    index = (
+        pt.index.get_level_values(0).map(str)
+        + ":"
+        + pt.index.get_level_values(1).map(str)
+        + " "
+        + pt.index.get_level_values(2).map(str)
+    )
+
+    fig = go.Figure()
+
+    bars = get_level_color_bar()
+
+    for b in bars:
+        try:
+            fig.add_bar(
+                x=index, y=pt[b["score"]], name=b["name"], marker_color=b["color"]
+            )
+        except KeyError:
+            pass
+    fig.update_layout(barmode="relative")
+    fig.update_layout(
+        height=500,
+        margin=dict(l=5, r=5, b=5, t=5),
+        legend=dict(
+            orientation="h",
+            yanchor="bottom",
+            y=1.02,
+            xanchor="right",
+            x=1
+            )
+        )
+    return [fig]

recopytex/dashboard/pages/exams_scores/models.py

@@ -0,0 +1,128 @@
+#!/use/bin/env python
+# encoding: utf-8
+
+from recopytex.database.filesystem.loader import CSVLoader
+from recopytex.datalib.dataframe import column_values_to_column
+import recopytex.datalib.on_score_column as on_column
+import pandas as pd
+
+LOADER = CSVLoader("./test_confia.ml")
+SCORES_CONFIG = LOADER.get_config()["scores"]
+
+
+def unstack_scores(scores):
+    """Put student_name values to columns
+
+    :param scores: Score dataframe with one line per score
+    :returns: Scrore dataframe with student_name in columns
+
+    """
+    kept_columns = [col for col in LOADER.score_columns if col != "score"]
+    return column_values_to_column("student_name", "score", kept_columns, scores)
+
+
+def stack_scores(scores):
+    """Student columns are melt to rows with student_name column
+
+    :param scores: Score dataframe with student_name in columns
+    :returns: Scrore dataframe with one line per score
+
+    """
+    kept_columns = [
+        c for c in LOADER.score_columns if c not in ["score", "student_name"]
+    ]
+    student_names = [c for c in scores.columns if c not in kept_columns]
+    return pd.melt(
+        scores,
+        id_vars=kept_columns,
+        value_vars=student_names,
+        var_name="student_name",
+        value_name="score",
+    )
+
+
+def get_tribes():
+    return LOADER.get_tribes()
+
+
+def get_exams(tribe):
+    return LOADER.get_exams([tribe])
+
+
+def get_record_scores(exam):
+    return LOADER.get_exam_scores(exam)
+
+
+def get_unstack_scores(exam):
+    flat_scores = LOADER.get_exam_scores(exam)
+    return unstack_scores(flat_scores)
+
+
+def get_students_from_exam(exam):
+    flat_scores = LOADER.get_exam_scores(exam)
+    return flat_scores["student_name"].unique()
+
+
+def get_score_colors():
+    score_color = {}
+    for key, score in SCORES_CONFIG.items():
+        score_color[score["value"]] = score["color"]
+    return score_color
+
+
+def get_level_color_bar():
+    return [
+        {"score": str(s["value"]), "name": s["comment"], "color": s["color"]}
+        for s in SCORES_CONFIG.values()
+    ]
+
+
+is_none_score = lambda x: on_column.is_none_score(x, SCORES_CONFIG)
+format_score = lambda x: on_column.format_score(x, SCORES_CONFIG)
+score_to_numeric_score = lambda x: on_column.score_to_numeric_score(x, SCORES_CONFIG)
+score_to_mark = lambda x: on_column.score_to_mark(
+    x, max([v["value"] for v in SCORES_CONFIG.values() if isinstance(v["value"], int)])
+)
+
+
+def filter_clean_score(scores):
+    filtered_scores = scores[~scores.apply(is_none_score, axis=1)]
+    filtered_scores = filtered_scores.assign(
+        score=filtered_scores.apply(format_score, axis=1)
+    )
+    return filtered_scores
+
+
+def score_to_final_mark(scores):
+    """ Compute marks then reduce to final mark per student """
+
+    filtered_scores = filter_clean_score(scores)
+    filtered_scores = filtered_scores.assign(
+        score=filtered_scores.apply(score_to_numeric_score, axis=1)
+    )
+    filtered_scores = filtered_scores.assign(
+        mark=filtered_scores.apply(score_to_mark, axis=1)
+    )
+    final_score = filtered_scores.groupby(["student_name"])[
+        ["mark", "score_rate"]
+    ].sum()
+    return [final_score.reset_index().to_dict("records")]
+
+
+def pivot_score_on(scores, index, columns, aggfunc="size"):
+    """Pivot scores on index, columns with aggfunc
+
+    It assumes thant scores are levels
+
+    """
+    filtered_scores = filter_clean_score(scores)
+    filtered_scores["score"] = filtered_scores["score"].astype(str)
+    pt = pd.pivot_table(
+        filtered_scores,
+        index=index,
+        columns=columns,
+        aggfunc=aggfunc,
+        fill_value=0,
+    )
+    return pt
+

recopytex/dashboard/pages/home/app.py

@@ -0,0 +1,50 @@
+#!/usr/bin/env python
+# encoding: utf-8
+
+import dash_html_components as html
+from recopytex.database.filesystem.loader import CSVLoader
+from .models import get_tribes, get_exams, get_students
+
+loader = CSVLoader("./test_config.yml")
+
+
+def listing(elements, formating=lambda x: x):
+
+    return html.Ul(
+        children=[html.Li(children=formating(element)) for element in elements]
+    )
+
+
+def format_tribe(tribe):
+    children = [html.H3(tribe["name"])]
+    exams = loader.get_exams([tribe["name"]])
+    if exams.empty:
+        children.append(html.P("Pas d'évaluation"))
+    else:
+        exams_html = listing([exam for id, exam in exams.iterrows()], format_exam)
+        children.append(exams_html)
+    return children
+
+
+def format_exam(exam):
+    children = [html.P(exam["name"])]
+    return children
+
+
+layout = html.Div(
+    children=[
+        html.H1("Recopytex"),
+        html.H2("Tribes"),
+        html.Div(
+            children=[listing(loader.get_tribes().values(), format_tribe)],
+            id="tribes",
+        ),
+        html.H2("Config"),
+        html.Div(
+            children=[
+                html.P(str(loader.get_config())),
+            ],
+            id="config",
+        ),
+    ]
+)

recopytex/dashboard/pages/home/callbacks.py

@@ -0,0 +1,6 @@
+#!/usr/bin/env python
+# encoding: utf-8
+
+from dash.dependencies import Input, Output
+from recopytex.dashboard.app import app
+

recopytex/dashboard/pages/home/models.py

@@ -0,0 +1,14 @@
+#!/usr/bin/env python
+# encoding: utf-8
+
+
+def get_tribes(loader):
+    return loader.get_tribes()
+
+
+def get_exams(loader, tribe):
+    return loader.get_exams([tribe])
+
+
+def get_students(loader, tribe):
+    return loader.get_students([tribe])

recopytex/dashboard/routes.py

@@ -0,0 +1,27 @@
+#!/usr/bin/env python
+# encoding: utf-8
+
+from dash.dependencies import Input, Output
+
+from .app import app
+from .pages.home import app as home
+from .pages.exams_scores import app as exams_scores
+import dash_html_components as html
+
+
+@app.callback(Output("page-content", "children"), [Input("url", "pathname")])
+def render_page_content(pathname):
+    if pathname == "/":
+        return home.layout
+    elif pathname == "/exams/scores/":
+        return exams_scores.layout
+    # elif pathname == iris_page_location:
+    #     return iris.layout
+    # # If the user tries to reach a different page, return a 404 message
+    return html.Div(
+        [
+            html.H1("404: Not found", className="text-danger"),
+            html.Hr(),
+            html.P(f"The pathname {pathname} was not recognised..."),
+        ]
+    )

recopytex/database/__init__.py

@@ -0,0 +1,88 @@
+#!/usr/bin/env python
+# encoding: utf-8
+
+from abc import ABC, abstractmethod
+import yaml
+
+"""
+
+Adapter to pull data from the filesystem
+
+# Loader
+
+# Writer
+"""
+
+
+class Loader(ABC):
+
+    """Load data from source"""
+
+    CONFIG = {}
+
+    def __init__(self, configfile=""):
+        """Init loader
+
+        :param configfile: yaml file with informations on data source
+        """
+        self._config = self.CONFIG
+        if configfile.endswith(".yml"):
+            with open(configfile, "r") as config:
+                self._config.update(yaml.load(config, Loader=yaml.FullLoader))
+
+    def get_config(self):
+        """ Get config"""
+        return self._config
+
+    @abstractmethod
+    def get_tribes(self):
+        """ Get tribes list """
+        pass
+
+    @abstractmethod
+    def get_exams(self, tribes=[]):
+        """Get exams list
+
+        :param tribes: get only exams for those tribes
+        """
+        pass
+
+    @abstractmethod
+    def get_students(self, tribes=[]):
+        """Get student list
+
+        :param filters: list of filters
+        """
+        pass
+
+    @abstractmethod
+    def get_exam_questions(self, exams=[]):
+        """Get questions for the exam
+
+        :param exams: questions for those exams only
+        """
+        pass
+
+    @abstractmethod
+    def get_questions_scores(self, questions=[]):
+        """Get scores of those questions
+
+        :param questions: score for those questions
+        """
+        pass
+
+    # @abstractmethod
+    # def get_student_scores(self, student):
+    #     """Get scores of the student
+
+    #     :param student:
+    #     """
+    #     pass
+
+
+class Writer(ABC):
+
+    """ Write datas to the source """
+
+    def __init__(self):
+        pass

recopytex/database/filesystem/__init__.py

@@ -0,0 +1,15 @@
+#!/usr/bin/env python
+# encoding: utf-8
+
+"""
+Store data using filesystem for organisation, csv for scores
+
+## Organisation
+
+- tribe1.csv # list of students for the tribe
+- tribe1/
+    - exam1.csv # questions and scores for exam1
+    - exam1.yml # Extra information about exam1
+    - exam2.csv # questions and scores for exam2
+"""
+

recopytex/database/filesystem/default_config.yml

@@ -0,0 +1,75 @@
+---
+source: ./ # basepath where to start 
+
+competences: # 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
+
+scores: # 
+  BAD: # Everything is bad
+    value: 0 
+    numeric_value: 0 
+    color: "#E7472B"
+    comment: Faux
+  FEW: # Few good things
+    value: 1 
+    numeric_value: 1 
+    color: "#FF712B"
+    comment: Peu juste
+  NEARLY: # Nearly good but things are missing
+    value: 2
+    numeric_value: 2
+    color: "#F2EC4C"
+    comment: Presque juste
+  GOOD: # Everything is good
+    value: 3
+    numeric_value: 3
+    color: "#68D42F"
+    comment: Juste
+  NOTFILLED: # The item is not scored yet
+    value: ""
+    numeric_value: None
+    color: white
+    comment: En attente
+  NOANSWER: # Student gives no answer (count as 0)
+    value: "."
+    numeric_value: 0
+    color: black
+    comment: Pas de réponse
+  ABS: # Student has absent (this score won't be impact the final mark)
+    value: a
+    numeric_value: None
+    color: lightgray
+    comment: Non noté
+
+csv_fields: # dataframe_field: csv_field 
+  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}"

recopytex/database/filesystem/lib.py

@@ -0,0 +1,52 @@
+#!/usr/bin/env python
+# encoding: utf-8
+
+import pandas as pd
+from pathlib import Path
+from unidecode import unidecode
+
+
+__all__ = ["list_csvs", "extract_fields"]
+
+
+def list_csvs(path):
+    """list csv files in path
+
+    :example:
+    >>> list_csvs("./example/Tribe1/")
+    [PosixPath('example/Tribe1/210112_DS.csv'), PosixPath('example/Tribe1/210122_DS6.csv')]
+    >>> list_csvs("./example/Tribe1")
+    [PosixPath('example/Tribe1/210112_DS.csv'), PosixPath('example/Tribe1/210122_DS6.csv')]
+    """
+    return list(Path(path).glob("*.csv"))
+
+
+def extract_fields(csv_filename, fields=[], remove_duplicates=True):
+    """Extract fields in csv
+
+    :param csv_filename: csv filename (with header)
+    :param fields: list of fields to extract (all fields if empty list - default)
+    :param remove_duplicates: keep uniques rows (default True)
+
+    :example:
+    >>> extract_fields("./example/Tribe1/210122_DS6.csv", ["Trimestre", "Nom", "Date"])
+       Trimestre  Nom        Date
+    0          1  DS6  22/01/2021
+    """
+    df = pd.read_csv(csv_filename)
+    if fields:
+        df = df[fields]
+    if remove_duplicates:
+        return df.drop_duplicates()
+    return df
+
+
+def build_id(template, element):
+    """Build an id from template to the element
+
+    :example:
+    >>> element = {"name": "pléà", "place": "here", "foo":"bar"}
+    >>> build_id("{name} {place}", element)
+    'plea_here'
+    """
+    return unidecode(template.format(**element)).replace(" ", "_")

recopytex/database/filesystem/loader.py

@@ -0,0 +1,298 @@
+#!/usr/bin/env python
+# encoding: utf-8
+
+import yaml
+import os
+import uuid
+from pathlib import Path
+import pandas as pd
+from .. import Loader
+from .lib import list_csvs, extract_fields, build_id
+
+
+DEFAULT_CONFIG_FILE = os.path.join(os.path.dirname(__file__), "default_config.yml")
+with open(DEFAULT_CONFIG_FILE, "r") as config:
+    DEFAULT_CONFIG = yaml.load(config, Loader=yaml.FullLoader)
+
+
+def maybe_dataframe(datas):
+    try:
+        return [e[1] for e in datas.iterrows()]
+    except AttributeError:
+        return datas
+
+
+class CSVLoader(Loader):
+
+    """Loader when scores and metadatas are stored in csv files
+
+    :config:
+
+    :example:
+    >>> loader = CSVLoader()
+    >>> loader.get_config()
+    {'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'}}, 'scores': {'BAD': {'value': 0, 'numeric_value': 0, 'color': '#E7472B', 'comment': 'Faux'}, 'FEW': {'value': 1, 'numeric_value': 1, 'color': '#FF712B', 'comment': 'Peu juste'}, 'NEARLY': {'value': 2, 'numeric_value': 2, 'color': '#F2EC4C', 'comment': 'Presque juste'}, 'GOOD': {'value': 3, 'numeric_value': 3, 'color': '#68D42F', 'comment': 'Juste'}, 'NOTFILLED': {'value': '', 'numeric_value': 'None', 'color': 'white', 'comment': 'En attente'}, 'NOANSWER': {'value': '.', 'numeric_value': 0, 'color': 'black', 'comment': 'Pas de réponse'}, 'ABS': {'value': 'a', 'numeric_value': 'None', 'color': 'lightgray', 'comment': 'Non noté'}}, '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}'}}
+
+    >>> loader = CSVLoader("./test_config.yml")
+    >>> loader.get_config()
+    {'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'}}, 'scores': {'BAD': {'value': 0, 'numeric_value': 0, 'color': '#E7472B', 'comment': 'Faux'}, 'FEW': {'value': 1, 'numeric_value': 1, 'color': '#FF712B', 'comment': 'Peu juste'}, 'NEARLY': {'value': 2, 'numeric_value': 2, 'color': '#F2EC4C', 'comment': 'Presque juste'}, 'GOOD': {'value': 3, 'numeric_value': 3, 'color': '#68D42F', 'comment': 'Juste'}, 'NOTFILLED': {'value': '', 'numeric_value': 'None', 'color': 'white', 'comment': 'En attente'}, 'NOANSWER': {'value': '.', 'numeric_value': 0, 'color': 'black', 'comment': 'Pas de réponse'}, 'ABS': {'value': 'a', 'numeric_value': 'None', 'color': 'lightgray', 'comment': 'Non noté'}}, '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'}}}
+    """
+
+    CONFIG = DEFAULT_CONFIG
+
+    def get_config(self):
+        """ Get config """
+        return self._config
+
+    @property
+    def exam_columns(self):
+        return pd.Index(["name", "date", "term", "origin", "tribe", "id"])
+
+    @property
+    def question_columns(self):
+        return pd.Index(
+            [
+                "exercise",
+                "question",
+                "competence",
+                "theme",
+                "comment",
+                "score_rate",
+                "is_leveled",
+                "origin",
+                "exam_id",
+                "id",
+            ]
+        )
+
+    @property
+    def score_columns(self):
+        return pd.Index(
+            [
+                "term",
+                "exam",
+                "date",
+                "exercise",
+                "question",
+                "competence",
+                "theme",
+                "comment",
+                "score_rate",
+                "is_leveled",
+                "origin",
+                "exam_id",
+                "question_id",
+                "student_name",
+                "score",
+            ]
+        )
+
+    def rename_columns(self, dataframe):
+        """Rename dataframe column to match with `csv_fields`
+
+        :param dataframe: the dataframe
+
+        :example:
+        >>> loader = CSVLoader()
+        >>>
+
+        """
+        return dataframe.rename(
+            columns={v: k for k, v in self._config["csv_fields"].items()}
+        )
+
+    def reverse_csv_field(self, keys):
+        """ Reverse csv field from keys """
+        return [self._config["csv_fields"][k] for k in keys]
+
+    def get_tribes(self, only_names=False):
+        """Get tribes list
+
+        :example:
+        >>> loader = CSVLoader("./test_config.yml")
+        >>> loader.get_tribes()
+        {'Tribe1': {'name': 'Tribe1', 'type': 'Type1', 'students': 'tribe1.csv'}, 'Tribe2': {'name': 'Tribe2', 'students': 'tribe2.csv'}}
+        >>> loader.get_tribes(only_names=True)
+        ['Tribe1', 'Tribe2']
+        """
+        if only_names:
+            return list(self._config["tribes"].keys())
+        return self._config["tribes"]
+
+    def get_exams(self, tribes=[]):
+        """Get exams list
+
+        :param tribes: get only exams for those tribes
+        :return: dataframe of exams
+
+        :example:
+        >>> loader = CSVLoader("./test_config.yml")
+        >>> exams = loader.get_exams(["Tribe1"])
+        >>> all(exams.columns == loader.exam_columns)
+        True
+        >>> exams
+          name        date  term                         origin   tribe          id
+        0   DS  12/01/2021     1   example/Tribe1/210112_DS.csv  Tribe1   DS_Tribe1
+        0  DS6  22/01/2021     1  example/Tribe1/210122_DS6.csv  Tribe1  DS6_Tribe1
+        """
+        exams = []
+        for tribe in tribes:
+            tribe_path = Path(self._config["source"]) / tribe
+            csvs = list_csvs(tribe_path)
+            for csv in csvs:
+                fields = self.reverse_csv_field(["exam", "date", "term"])
+                exam = extract_fields(csv, fields)
+                exam = self.rename_columns(exam)
+                exam = exam.rename(columns={"exam": "name"})
+                exam["origin"] = str(csv)
+                exam["tribe"] = tribe
+                exam["id"] = build_id(
+                    self._config["id_templates"]["exam"], exam.iloc[0]
+                )
+                exams.append(exam)
+        if exams:
+            return pd.concat(exams)
+        return pd.DataFrame(columns=["name", "date", "term", "origin", "tribe", "id"])
+
+    def get_exam_questions(self, exams=[]):
+        """Get questions for exams stored in score_files
+
+        :param exams: list or dataframe of exams metadatas (need origin field to find the csv)
+
+        :example:
+        >>> loader = CSVLoader("./test_config.yml")
+        >>> exams = loader.get_exams(["Tribe1"])
+        >>> all(loader.get_exam_questions([exams.iloc[0]]).columns == loader.question_columns)
+        True
+        >>> questions = loader.get_exam_questions(exams)
+        >>> questions.iloc[0]
+        exercise                         Exercice 1
+        question                                  1
+        competence                         Calculer
+        theme                                  Plop
+        comment                              Coucou
+        score_rate                              1.0
+        is_leveled                              1.0
+        origin         example/Tribe1/210112_DS.csv
+        exam_id                           DS_Tribe1
+        id            DS_Tribe1_Exercice_1_1_Coucou
+        Name: 0, dtype: object
+        """
+        _exams = maybe_dataframe(exams)
+
+        questions = []
+        for exam in _exams:
+            fields = self.reverse_csv_field(
+                [
+                    "exercise",
+                    "question",
+                    "competence",
+                    "theme",
+                    "comment",
+                    "score_rate",
+                    "is_leveled",
+                ]
+            )
+            question = extract_fields(exam["origin"], fields)
+            question = self.rename_columns(question)
+            question["origin"] = exam["origin"]
+            question["exam_id"] = exam["id"]
+            question["id"] = build_id(
+                self._config["id_templates"]["question"], question.iloc[0]
+            )
+            questions.append(question)
+
+        return pd.concat(questions)
+
+    def get_questions_scores(self, questions=[]):
+        """Get scores of those questions
+
+        :param questions: list or dataframe of questions metadatas (need origin field to find the csv)
+
+        :example:
+        >>> loader = CSVLoader("./test_config.yml")
+        >>> exams = loader.get_exams(["Tribe1"])
+        >>> questions = loader.get_exam_questions(exams)
+        >>> scores = loader.get_questions_scores(questions)
+        >>> all(scores.columns == loader.score_columns)
+        True
+        >>> scores["student_name"].unique()
+        array(['Star Tice', 'Umberto Dingate', 'Starlin Crangle',
+               'Humbert Bourcq', 'Gabriella Handyside', 'Stewart Eaves',
+               'Erick Going', 'Ase Praton', 'Rollins Planks', 'Dunstan Sarjant',
+               'Stacy Guiton', 'Ange Stanes', 'Amabelle Elleton',
+               'Darn Broomhall', 'Dyan Chatto', 'Keane Rennebach', 'Nari Paulton',
+               'Brandy Wase', 'Jaclyn Firidolfi', 'Violette Lockney'],
+              dtype=object)
+        """
+        scores = []
+        group_questions = questions.groupby("origin")
+        for origin, questions_df in group_questions:
+            scores_df = pd.read_csv(origin)
+            scores_df = self.rename_columns(scores_df)
+            student_names = [
+                c
+                for c in scores_df.columns
+                if c not in self._config["csv_fields"].keys()
+            ]
+
+            common_columns = [c for c in questions_df.columns if c in scores_df.columns]
+            scores_df = pd.merge(scores_df, questions_df, on=common_columns)
+
+            kept_columns = [c for c in scores_df if c not in student_names]
+            scores_df = pd.melt(
+                scores_df,
+                id_vars=kept_columns,
+                value_vars=student_names,
+                var_name="student_name",
+                value_name="score",
+            )
+
+            scores_df = scores_df.rename(columns={"id": "question_id"})
+            scores.append(scores_df)
+
+        return pd.concat(scores)
+
+    def get_exam_scores(self, exams=[]):
+        """Get scores for all question of the exam
+
+        :param exams: list or dataframe of exams metadatas (need origin field to find the csv)
+
+        :example:
+        >>> loader = CSVLoader("./test_config.yml")
+        >>> exams = loader.get_exams(["Tribe1"])
+        >>> scores = loader.get_exam_scores(exams)
+        >>> scores.columns
+        Index(['term', 'exam', 'date', 'exercise', 'question', 'competence', 'theme',
+               'comment', 'score_rate', 'is_leveled', 'origin', 'exam_id',
+               'question_id', 'student_name', 'score'],
+              dtype='object')
+        """
+        questions = self.get_exam_questions(exams)
+        return self.get_questions_scores(questions)
+
+    def get_students(self, tribes=[]):
+        """Get student list
+
+        :param tribes: concerned tribes
+
+        :example:
+        >>> loader = CSVLoader("./test_config.yml")
+        >>> tribes = loader.get_tribes()
+        >>> students = loader.get_students([tribes["Tribe1"]])
+        >>> students.columns
+        Index(['Nom', 'email', 'origin', 'tribe'], dtype='object')
+        """
+        students = []
+        for tribe in tribes:
+            students_csv = Path(self._config["source"]) / tribe["students"]
+            students_df = pd.read_csv(students_csv)
+            students_df["origin"] = students_csv
+            students_df["tribe"] = tribe["name"]
+            students.append(students_df)
+
+        return pd.concat(students)
+
+    def get_student_scores(self, student=[]):
+        """Get all scores for students"""
+        pass

recopytex/database/filesystem/writer.py

@@ -0,0 +1,7 @@
+#!/usr/bin/env python
+# encoding: utf-8
+
+"""
+
+"""
+

recopytex/datalib/dataframe.py

@@ -0,0 +1,21 @@
+#!/usr/bin/env python
+# encoding: utf-8
+
+
+def column_values_to_column(pivot_column, value_column, kept_columns, df):
+    """Pivot_column's values go to column with value_column under it, keeping kept_columns
+
+    :param pivot_column: column name where value will become columns
+    :param value_column: column name where value will be under pivot_column
+    :param kept_columns: unchanged columns
+    :param df: DataFrame to work with
+
+    :return: Stack dataframe
+
+    """
+    if pivot_column in kept_columns:
+        pivot_columns = kept_columns
+    else:
+        pivot_columns = kept_columns + [pivot_column]
+
+    return df.set_index(pivot_columns).unstack(pivot_column)[value_column].reset_index()

recopytex/datalib/on_score_column.py

@@ -0,0 +1,257 @@
+#!/usr/bin/env python
+# encoding: utf-8
+
+from math import ceil
+import pandas as pd
+
+
+def is_none_score(x, score_config):
+    """Is a score correspond to a None numeric_value which
+
+    >>> import pandas as pd
+    >>> d = {"Eleve":["E1"]*7,
+    ...    "score_rate": [1]*7,
+    ...    "is_leveled":[0]+[1]*6,
+    ...    "score":[0.33, "", ".", "a", 1, 2, 3],
+    ...    }
+    >>> score_config = {
+    ...   'BAD': {'value': 0, 'numeric_value': 0},
+    ...   'FEW': {'value': 1, 'numeric_value': 1},
+    ...   'NEARLY': {'value': 2, 'numeric_value': 2},
+    ...   'GOOD': {'value': 3, 'numeric_value': 3},
+    ...   'NOTFILLED': {'value': '', 'numeric_value': 'None'},
+    ...   'NOANSWER': {'value': '.', 'numeric_value': 0},
+    ...   'ABS': {'value': 'a', 'numeric_value': 'None'}
+    ...    }
+    >>> df = pd.DataFrame(d)
+    >>> df.apply(lambda x:is_none_score(x, score_config), axis=1)
+    0    False
+    1     True
+    2    False
+    3     True
+    4    False
+    5    False
+    6    False
+    dtype: bool
+
+    """
+    none_values = [
+        v["value"]
+        for v in score_config.values()
+        if str(v["numeric_value"]).lower() == "none"
+    ]
+    return x["score"] in none_values or pd.isnull(x["score"])
+
+
+def format_score(x, score_config):
+    """Make sure that score have the appropriate format
+
+    >>> import pandas as pd
+    >>> d = {"Eleve":["E1"]*6,
+    ...    "score_rate": [1]*6,
+    ...    "is_leveled":[0]+[1]*5,
+    ...    "score":[0.33,  ".", "a", 1, 2, 3],
+    ...    }
+    >>> score_config = {
+    ...   'BAD': {'value': 0, 'numeric_value': 0},
+    ...   'FEW': {'value': 1, 'numeric_value': 1},
+    ...   'NEARLY': {'value': 2, 'numeric_value': 2},
+    ...   'GOOD': {'value': 3, 'numeric_value': 3},
+    ...   'NOTFILLED': {'value': '', 'numeric_value': 'None'},
+    ...   'NOANSWER': {'value': '.', 'numeric_value': 0},
+    ...   'ABS': {'value': 'a', 'numeric_value': 'None'}
+    ...    }
+    >>> df = pd.DataFrame(d)
+    >>> df.apply(lambda x:format_score(x, score_config), axis=1)
+    0    0.33
+    1       .
+    2       a
+    3       1
+    4       2
+    5       3
+    dtype: object
+    >>> format_score({"score": "1.0", "is_leveled": 1}, score_config)
+    1
+    >>> format_score({"score": "3.0", "is_leveled": 1}, score_config)
+    3
+    >>> format_score({"score": 4, "is_leveled": 1}, score_config)
+    Traceback (most recent call last):
+        ...
+    ValueError: 4 (<class 'int'>) can't be a score
+
+    """
+    if not x["is_leveled"]:
+        return float(x["score"])
+
+    try:
+        score = int(float(x["score"]))
+    except ValueError:
+        score = str(x["score"])
+
+    if score in [v["value"] for v in score_config.values()]:
+        return score
+
+    raise ValueError(f"{x['score']} ({type(x['score'])}) can't be a score")
+
+
+def score_to_numeric_score(x, score_config):
+    """Convert a score to the corresponding numeric value
+
+    >>> import pandas as pd
+    >>> d = {"Eleve":["E1"]*7,
+    ...    "score_rate": [1]*7,
+    ...    "is_leveled":[0]+[1]*6,
+    ...    "score":[0.33, "", ".", "a", 1, 2, 3],
+    ...    }
+    >>> score_config = {
+    ...   'BAD': {'value': 0, 'numeric_value': 0},
+    ...   'FEW': {'value': 1, 'numeric_value': 1},
+    ...   'NEARLY': {'value': 2, 'numeric_value': 2},
+    ...   'GOOD': {'value': 3, 'numeric_value': 3},
+    ...   'NOTFILLED': {'value': '', 'numeric_value': 'None'},
+    ...   'NOANSWER': {'value': '.', 'numeric_value': 0},
+    ...   'ABS': {'value': 'a', 'numeric_value': 'None'}
+    ...    }
+    >>> df = pd.DataFrame(d)
+    >>> df.apply(lambda x:score_to_numeric_score(x, score_config), axis=1)
+    0    0.33
+    1    None
+    2       0
+    3    None
+    4       1
+    5       2
+    6       3
+    dtype: object
+
+    """
+    if x["is_leveled"]:
+        replacements = {v["value"]: v["numeric_value"] for v in score_config.values()}
+        return replacements[x["score"]]
+
+    return x["score"]
+
+
+def score_to_mark(x, score_max, rounding=lambda x: round(x, 2)):
+    """Compute the mark from "score" which have to be filtered and in numeric form
+
+    if the item is leveled then the score is multiply by the score_rate
+    otherwise it copies the score
+
+    :param x: dictionnary with "is_leveled", "score"  (need to be number) and "score_rate" keys
+    :param score_max:
+    :param rounding: rounding mark function
+    :return: the mark
+
+    >>> import pandas as pd
+    >>> d = {"Eleve":["E1"]*7,
+    ...    "score_rate": [1]*7,
+    ...    "is_leveled":[0]+[1]*6,
+    ...    "score":[0.33, "", ".", "a", 1, 2, 3],
+    ...    }
+    >>> score_config = {
+    ...   'BAD': {'value': 0, 'numeric_value': 0},
+    ...   'FEW': {'value': 1, 'numeric_value': 1},
+    ...   'NEARLY': {'value': 2, 'numeric_value': 2},
+    ...   'GOOD': {'value': 3, 'numeric_value': 3},
+    ...   'NOTFILLED': {'value': '', 'numeric_value': 'None'},
+    ...   'NOANSWER': {'value': '.', 'numeric_value': 0},
+    ...   'ABS': {'value': 'a', 'numeric_value': 'None'}
+    ...    }
+    >>> df = pd.DataFrame(d)
+    >>> df = df[~df.apply(lambda x:is_none_score(x, score_config), axis=1)]
+    >>> df["score"] = df.apply(lambda x:score_to_numeric_score(x, score_config), axis=1)
+    >>> df.apply(lambda x:score_to_mark(x, 3), axis=1)
+    0    0.33
+    2    0.00
+    4    0.33
+    5    0.67
+    6    1.00
+    dtype: float64
+    >>> from .on_value import round_half_point
+    >>> df.apply(lambda x:score_to_mark(x, 3, round_half_point), axis=1)
+    0    0.5
+    2    0.0
+    4    0.5
+    5    0.5
+    6    1.0
+    dtype: float64
+    """
+    if x["is_leveled"]:
+        if x["score"] not in list(range(score_max + 1)):
+            raise ValueError(f"The evaluation is out of range: {x['score']} at {x}")
+        return rounding(x["score"] * x["score_rate"] / score_max)
+
+    return rounding(x["score"])
+
+
+def score_to_level(x, level_max=3):
+    """Compute the level (".",0,1,2,3).
+
+    :param x: dictionnary with "is_leveled", "score" and "score_rate" keys
+    :return: the level
+
+    >>> import pandas as pd
+    >>> d = {"Eleve":["E1"]*6 + ["E2"]*6,
+    ...    "score_rate":[1]*2+[2]*2+[2]*2 + [1]*2+[2]*2+[2]*2,
+    ...    "is_leveled":[0]*4+[1]*2 + [0]*4+[1]*2,
+    ...    "score":[1, 0.33, 0, 1.5, 1, 3,   0.666, 1, 1.5, 1, 2, 3],
+    ...    }
+    >>> df = pd.DataFrame(d)
+    >>> df
+       Eleve  score_rate  is_leveled  score
+    0     E1           1           0  1.000
+    1     E1           1           0  0.330
+    2     E1           2           0  0.000
+    3     E1           2           0  1.500
+    4     E1           2           1  1.000
+    5     E1           2           1  3.000
+    6     E2           1           0  0.666
+    7     E2           1           0  1.000
+    8     E2           2           0  1.500
+    9     E2           2           0  1.000
+    10    E2           2           1  2.000
+    11    E2           2           1  3.000
+    >>> df.apply(score_to_level, axis=1)
+    0     3
+    1     1
+    2     0
+    3     3
+    4     1
+    5     3
+    6     2
+    7     3
+    8     3
+    9     2
+    10    2
+    11    3
+    dtype: int64
+    >>> df.apply(lambda x: score_to_level(x, 5), axis=1)
+    0     5
+    1     2
+    2     0
+    3     4
+    4     1
+    5     3
+    6     4
+    7     5
+    8     4
+    9     3
+    10    2
+    11    3
+    dtype: int64
+    """
+    if x["is_leveled"]:
+        return int(x["score"])
+
+    if x["score"] > x["score_rate"]:
+        raise ValueError(
+            f"score is higher than score_rate ({x['score']} > {x['score_rate']}) for {x}"
+        )
+
+    return int(ceil(x["score"] / x["score_rate"] * level_max))
+
+
+# -----------------------------
+# Reglages pour 'vim'
+# vim:set autoindent expandtab tabstop=4 shiftwidth=4:
+# cursor: 16 del

recopytex/datalib/on_value.py

@@ -0,0 +1,40 @@
+#!/usr/bin/env python
+# encoding: utf-8
+
+from math import ceil, floor
+
+
+def round_with_base(x, base=0.5):
+    """Round to a multiple of base
+
+    :example:
+    >>> round_with_base(1.33, 0.1)
+    1.3
+    >>> round_with_base(1.33, 0.2)
+    1.4
+    >>> round_with_base(1.33, 1)
+    1
+    >>> round_with_base(1.33, 2)
+    2
+    """
+    try:
+        prec = len(str(base).split(".")[1])
+    except IndexError:
+        prec = 0
+    return round(base * round(float(x) / base), prec)
+
+
+def round_half_point(x):
+    """Round to nearest half point
+
+    :example:
+    >>> round_half_point(1.33)
+    1.5
+    >>> round_half_point(1.1)
+    1.0
+    >>> round_half_point(1.66)
+    1.5
+    >>> round_half_point(1.76)
+    2.0
+    """
+    return round_with_base(x, base=0.5)

recopytex/scripts/recopytex.py

@@ -0,0 +1,18 @@
+#!/usr/bin/env python
+# encoding: utf-8
+
+import click
+from recopytex.dashboard.index import app as dash
+
+@click.group()
+def cli():
+    pass
+
+
+@cli.command()
+@click.option("--debug", default=0, help="Debug mode for dash")
+def dashboard(debug):
+    dash.run_server(debug=bool(debug))
+
+if __name__ == "__main__":
+    cli()

requirements.txt

@@ -0,0 +1,4 @@
+pandas
+click
+papermill
+prompt_toolkit

requirements_dev.txt

@@ -0,0 +1,69 @@
+ansiwrap
+attrs
+backcall
+bleach
+certifi
+chardet
+Click
+colorama
+cycler
+decorator
+defusedxml
+entrypoints
+future
+idna
+importlib-resources
+ipykernel
+ipython
+ipython-genutils
+ipywidgets
+jedi
+Jinja2
+jsonschema
+jupyter
+jupyter-client
+jupyter-console
+jupyter-core
+jupytex
+kiwisolver
+MarkupSafe
+matplotlib
+mistune
+nbconvert
+nbformat
+notebook
+numpy
+pandas
+pandocfilters
+papermill
+parso
+pexpect
+pickleshare
+prometheus-client
+prompt-toolkit
+ptyprocess
+Pygments
+pyparsing
+pyrsistent
+python-dateutil
+pytz
+PyYAML
+pyzmq
+qtconsole
+-e git+git_opytex:/lafrite/recopytex.git@e9a8310f151ead60434ae944d726a2fd22b23d06#egg=Recopytex
+requests
+scipy
+seaborn
+Send2Trash
+six
+tenacity
+terminado
+testpath
+textwrap3
+tornado
+tqdm
+traitlets
+urllib3
+wcwidth
+webencodings
+widgetsnbextension

setup.py

@@ -0,0 +1,26 @@
+#!/usr/bin/env python
+# encoding: utf-8
+
+from setuptools import setup, find_packages
+
+setup(
+    name='Recopytex',
+    version='0.1',
+    description='Assessment analysis',
+    author='Benjamin Bertrand',
+    author_email='',
+    packages=find_packages(),
+    include_package_data=True,
+    install_requires=[
+        'Click',
+    ],
+    entry_points='''
+            [console_scripts]
+            recopytex=recopytex.scripts.recopytex:cli
+    ''',
+    )
+
+# -----------------------------
+# Reglages pour 'vim'
+# vim:set autoindent expandtab tabstop=4 shiftwidth=4:
+# cursor: 16 del

test_config.yml

@@ -0,0 +1,13 @@
+---
+source: ./example
+output: ./output
+templates: templates/
+
+tribes:
+    Tribe1:
+        name: Tribe1
+        type: Type1
+        students: tribe1.csv
+    Tribe2:
+        name: Tribe2
+        students: tribe2.csv

tests/conftest.py

@@ -1,134 +0,0 @@
-import sqlite3
-import time
-from pathlib import Path
-
-import pytest
-import requests
-from sqlalchemy import create_engine
-from sqlalchemy.orm import clear_mappers, sessionmaker
-
-from backend import config
-from backend.adapters.orm import metadata, start_mappers
-from backend.adapters.sqlite import create_db
-from backend.model.student import Student
-from backend.model.tribe import Tribe
-from tests.model.fakes import build_student, build_tribes
-
-
-@pytest.fixture
-def in_memory_db():
-    engine = create_engine("sqlite:///:memory:")
-    metadata.create_all(engine)
-    return engine
-
-
-@pytest.fixture
-def session(in_memory_db):
-    start_mappers()
-    yield sessionmaker(bind=in_memory_db)()
-    clear_mappers()
-
-
-@pytest.fixture
-def memory_sqlite_conn():
-    sqlite_db = ":memory:"
-    conn = sqlite3.connect(sqlite_db)
-    create_db(conn)
-    yield conn
-    conn.close()
-
-
-@pytest.fixture
-def clean_db():
-    sqlite_db = "sqlite.db"
-    conn = sqlite3.connect(sqlite_db)
-    create_db(conn)
-    yield
-    cursor = conn.cursor()
-    cursor.execute("""DROP TABLE tribes""")
-    cursor.execute("""DROP TABLE students""")
-    conn.commit()
-
-
-def populate_tribes(conn) -> list[Tribe]:
-    cursor = conn.cursor()
-    tribes = build_tribes(3)
-    cursor.executemany(
-        """
-        INSERT INTO tribes(name, level) VALUES (?, ?)
-    """,
-        [t.to_tuple() for t in tribes],
-    )
-    conn.commit()
-
-    return tribes
-
-
-def populate_students(conn, tribes: list[Tribe]) -> list[Student]:
-    cursor = conn.cursor()
-    prebuild_students = build_student(tribes, 2)
-    cursor.executemany(
-        """
-        INSERT INTO students(id, name, tribe_name) VALUES (:id, :name, :tribe_name)
-    """,
-        [s.to_dict() for s in prebuild_students],
-    )
-    conn.commit()
-
-    return prebuild_students
-
-
-@pytest.fixture
-def populate_db():
-    class Student_tribe_context:
-        _tribes = []
-        _students = []
-
-        def __init__(self, conn):
-            self.conn = conn
-
-        def __enter__(self):
-            self._tribes += populate_tribes(self.conn)
-            self._students += populate_students(self.conn, self._tribes)
-            return self._tribes, self._students
-
-        def __exit__(self, *args):
-
-            for student in self._students:
-                self.conn.execute(
-                    """
-                    DELETE FROM students WHERE id=:id
-                    """,
-                    {"id": student.id},
-                )
-            for tribe in self._tribes:
-                self.conn.execute(
-                    """
-                    DELETE FROM tribes WHERE name=:name
-                    """,
-                    {"name": tribe.name},
-                )
-            self.conn.commit()
-
-    def fixture(conn):
-        return Student_tribe_context(conn)
-
-    yield fixture
-
-
-def wait_for_webapp_to_come_up():
-    deadline = time.time() + 10
-    url = config.get_api_url()
-    while time.time() < deadline:
-        try:
-            return requests.get(url)
-        except ConnectionError:
-            time.sleep(0.5)
-    pytest.fail("API never came up")
-
-
-@pytest.fixture
-def restart_api():
-    (Path(__file__).parent.parent / "backend" / "api" / "main.py").touch()
-    time.sleep(0.5)
-    wait_for_webapp_to_come_up()

tests/e2e/test_api_students.py

@@ -1,104 +0,0 @@
-import pytest
-import requests
-
-from backend import config
-from tests.model.fakes import build_student, build_tribes
-
-
-@pytest.mark.usefixtures("restart_api")
-@pytest.mark.usefixtures("clean_db")
-def test_api_post_student():
-    url = config.get_api_url()
-    tribe = build_tribes(1)[0]
-    requests.post(f"{url}/tribes", json=tribe.to_dict())
-
-    data = {"name": "zart", "tribe_name": tribe.name}
-    r = requests.post(f"{url}/students", json=data)
-
-    post_request = r.history[0]
-    assert post_request.status_code == 302
-
-    assert r.status_code == 200
-    assert r.json()["name"] == "zart"
-    assert r.json()["tribe_name"] == tribe.name
-    assert r.json()["id"]
-
-
-@pytest.mark.usefixtures("restart_api")
-@pytest.mark.usefixtures("clean_db")
-def test_api_post_student_with_id():
-    url = config.get_api_url()
-    tribe = build_tribes(1)[0]
-    requests.post(f"{url}/tribes", json=tribe.to_dict())
-
-    data = {"id": "1234", "name": "zart", "tribe_name": tribe.name}
-    requests.post(f"{url}/students", json=data)
-    r = requests.post(f"{url}/students", json=data)
-
-    assert r.status_code == 409
-    assert (
-        r.json()
-        == f"You can't post a student with an id. It is already registrered. Use PUT to modify it."
-    )
-
-
-@pytest.mark.usefixtures("restart_api")
-@pytest.mark.usefixtures("clean_db")
-def test_api_post_student_in_non_existant_tribe():
-    url = config.get_api_url()
-    tribe = build_tribes(1)[0]
-    requests.post(f"{url}/tribes", json=tribe.to_dict())
-
-    data = {"name": "zart", "tribe_name": tribe.name + "_"}
-    requests.post(f"{url}/students", json=data)
-    r = requests.post(f"{url}/students", json=data)
-
-    assert r.status_code == 409
-    assert (
-        r.json()
-        == f"The tribe {tribe.name+'_'} does not exists. You can't add a student in it."
-    )
-
-
-@pytest.mark.usefixtures("restart_api")
-@pytest.mark.usefixtures("clean_db")
-def test_api_put_student():
-    url = config.get_api_url()
-    tribe = build_tribes(1)[0]
-    requests.post(f"{url}/tribes", json=tribe.to_dict())
-
-    data = {"name": "zart", "tribe_name": tribe.name}
-    r = requests.post(f"{url}/students", json=data)
-
-    student = r.json()
-    student["name"] = "Choupinou"
-
-    r2 = requests.put(f"{url}/students/{student['id']}", json=student)
-
-    post_request = r2.history[0]
-    assert post_request.status_code == 302
-
-    assert r2.status_code == 200
-    assert r2.json()["name"] == "Choupinou"
-    assert r2.json()["tribe_name"] == tribe.name
-    assert r2.json()["id"] == r.json()["id"]
-
-
-@pytest.mark.usefixtures("restart_api")
-@pytest.mark.usefixtures("clean_db")
-def test_api_delete_student():
-    url = config.get_api_url()
-    tribe = build_tribes(1)[0]
-    requests.post(f"{url}/tribes", json=tribe.to_dict())
-
-    student = build_student([tribe], 1)[0]
-    r = requests.post(
-        f"{url}/students", json={"name": student.name, "tribe_name": student.tribe.name}
-    )
-    student_id = r.json()["id"]
-
-    r = requests.delete(f"{url}/students/{student_id}")
-    assert r.status_code == 204
-
-    r = requests.get(f"{url}/students/")
-    assert r.json() == []

tests/e2e/test_api_tribes.py

@@ -1,119 +0,0 @@
-import pytest
-import requests
-
-from backend import config
-from tests.model.fakes import build_tribes
-
-
-@pytest.mark.usefixtures("restart_api")
-@pytest.mark.usefixtures("clean_db")
-def test_api_post_tribe():
-    data = {"name": "tribe", "level": "2nd"}
-
-    url = config.get_api_url()
-    r = requests.post(f"{url}/tribes", json=data)
-
-    post_request = r.history[0]
-    assert post_request.status_code == 302
-
-    assert r.status_code == 200
-    assert r.json() == {
-        "assessments": [],
-        "level": "2nd",
-        "name": "tribe",
-        "students": [],
-    }
-
-
-@pytest.mark.usefixtures("restart_api")
-@pytest.mark.usefixtures("clean_db")
-def test_api_post_tribe_already_exists():
-    data = {"name": "Pioupiou", "level": "2nd"}
-
-    url = config.get_api_url()
-    requests.post(f"{url}/tribes", json=data)
-    r = requests.post(f"{url}/tribes", json=data)
-
-    assert r.status_code == 409
-    assert r.json() == f"The tribe {data['name']} already exists"
-
-
-@pytest.mark.usefixtures("restart_api")
-@pytest.mark.usefixtures("clean_db")
-def test_api_put_tribe():
-    tribe = build_tribes(1)[0]
-
-    url = config.get_api_url()
-    r = requests.post(f"{url}/tribes", json=tribe.to_dict())
-
-    mod_tribe = tribe
-    mod_tribe.level = "other level"
-    r = requests.put(f"{url}/tribes/{tribe.name}", json=mod_tribe.to_dict())
-    post_request = r.history[0]
-    assert post_request.status_code == 302
-
-    assert r.status_code == 200
-
-    r = requests.get(f"{url}/tribes")
-    assert [t["name"] for t in r.json()] == [mod_tribe.name]
-    assert [t["level"] for t in r.json()] == [mod_tribe.level]
-
-
-@pytest.mark.usefixtures("restart_api")
-@pytest.mark.usefixtures("clean_db")
-def test_api_put_tribe_doesnt_exists():
-    tribe = build_tribes(1)[0]
-
-    url = config.get_api_url()
-    r = requests.put(f"{url}/tribes/{tribe.name}", json=tribe.to_dict())
-    assert r.status_code == 409
-
-
-@pytest.mark.usefixtures("restart_api")
-@pytest.mark.usefixtures("clean_db")
-def test_api_delete_tribe():
-    tribe = build_tribes(1)[0]
-
-    url = config.get_api_url()
-    r = requests.post(f"{url}/tribes", json=tribe.to_dict())
-
-    r = requests.delete(f"{url}/tribes/{tribe.name}")
-    assert r.status_code == 204
-
-    r = requests.get(f"{url}/tribes")
-    assert r.json() == []
-
-
-@pytest.mark.usefixtures("restart_api")
-@pytest.mark.usefixtures("clean_db")
-def test_api_delete_tribe_doesnt_exists():
-    tribe = build_tribes(1)[0]
-
-    url = config.get_api_url()
-    r = requests.post(f"{url}/tribes", json=tribe.to_dict())
-
-    r = requests.delete(f"{url}/tribes/notexisting")
-    assert r.status_code == 409
-
-    r = requests.get(f"{url}/tribes")
-    assert [t["name"] for t in r.json()] == [tribe.name]
-    assert [t["level"] for t in r.json()] == [tribe.level]
-
-
-@pytest.mark.usefixtures("restart_api")
-@pytest.mark.usefixtures("clean_db")
-def test_api_post_list_tribe():
-    tribe = build_tribes(1)[0]
-
-    url = config.get_api_url()
-    r = requests.post(f"{url}/tribes", json=tribe.to_dict())
-
-    r = requests.get(f"{url}/tribes")
-    assert r.json() == [
-        {
-            "assessments": [],
-            "level": tribe.level,
-            "name": tribe.name,
-            "students": [],
-        }
-    ]

tests/integration/test_orm.py

@@ -1,43 +0,0 @@
-from backend.adapters.orm import metadata, start_mappers
-from backend.model.student import Student
-from backend.model.tribe import Tribe
-
-
-def test_tribes_mapper_can_load_tribe(session):
-    session.execute(
-        "INSERT INTO tribes (name, level) VALUES "
-        "('tribe1', '2nd'),"
-        "('tribe2', '1ST')"
-    )
-    expected = [
-        (Tribe("tribe1", "2nd")),
-        (Tribe("tribe2", "1ST")),
-    ]
-    assert session.query(Tribe).all() == expected
-
-
-def test_tribe_mapper_can_save_tribe(session):
-    tribe_infos = ("tribe1", "2nd")
-    tribe = Tribe(*tribe_infos)
-    session.add(tribe)
-
-    rows = list(session.execute("SELECT name, level FROM 'tribes'"))
-    assert rows == []
-
-    session.commit()
-
-    rows = list(session.execute("SELECT name, level FROM 'tribes'"))
-    assert rows == [tribe_infos]
-
-
-def test_tribe_mapper_can_save_and_load_tribe(session):
-    tribe_infos = ("tribe1", "2nd")
-    tribe = Tribe(*tribe_infos)
-
-    assert session.query(Tribe).all() == []
-    session.add(tribe)
-
-    assert session.query(Tribe).all() == [tribe]
-    session.commit()
-
-    assert session.query(Tribe).all() == [tribe]

tests/integration/test_repository_student_sqlite.py

@@ -1,107 +0,0 @@
-import sqlite3
-
-import pytest
-
-from backend.model.student import Student
-from backend.repository.student_sqlite_repository import (
-    StudentRepositoryError,
-    StudentSQLiteRepository,
-)
-
-
-def test_get_student(memory_sqlite_conn, populate_db):
-    with populate_db(memory_sqlite_conn) as (prebuild_tribes, prebuild_students):
-        student_repo = StudentSQLiteRepository(memory_sqlite_conn)
-
-        student_id = prebuild_students[0].id
-        student = student_repo.get(student_id, prebuild_tribes)
-
-        assert prebuild_students[0] == student
-
-
-def test_get_student_not_exists(memory_sqlite_conn, populate_db):
-    with populate_db(memory_sqlite_conn) as (prebuild_tribes, _):
-        student_repo = StudentSQLiteRepository(memory_sqlite_conn)
-        with pytest.raises(ValueError):
-            student_repo.get("student0", prebuild_tribes)
-
-
-def test_list_students(memory_sqlite_conn, populate_db):
-    with populate_db(memory_sqlite_conn) as (prebuild_tribes, prebuild_students):
-        student_repo = StudentSQLiteRepository(memory_sqlite_conn)
-        students = student_repo.list(prebuild_tribes)
-
-        assert prebuild_students == students
-
-
-def test_add_student(memory_sqlite_conn, populate_db):
-    with populate_db(memory_sqlite_conn) as (prebuild_tribes, _):
-        student_repo = StudentSQLiteRepository(memory_sqlite_conn)
-
-        student_infos = {"name": "student1", "tribe": prebuild_tribes[0]}
-        student = Student(**student_infos)
-        student_repo.add(student)
-        memory_sqlite_conn.commit()
-
-        cursor = memory_sqlite_conn.cursor()
-        cursor.execute(
-            """
-            SELECT id, name, tribe_name FROM students WHERE id=?
-            """,
-            (student.id,),
-        )
-
-        row = cursor.fetchone()
-        assert row == student.to_tuple()
-
-
-def test_add_student_fail_exists(memory_sqlite_conn, populate_db):
-    with populate_db(memory_sqlite_conn) as (prebuild_tribes, _):
-        student_repo = StudentSQLiteRepository(memory_sqlite_conn)
-
-        student_infos = {"name": "student1", "tribe": prebuild_tribes[0]}
-        student = Student(**student_infos)
-        student_repo.add(student)
-        memory_sqlite_conn.commit()
-
-        with pytest.raises(sqlite3.IntegrityError):
-            student_repo.add(student)
-
-
-def test_update_student(memory_sqlite_conn, populate_db):
-    with populate_db(memory_sqlite_conn) as (prebuild_tribes, prebuild_students):
-        student_repo = StudentSQLiteRepository(memory_sqlite_conn)
-
-        student = prebuild_students[0]
-        student.name = "Boby"
-        student.tribe = prebuild_tribes[-1]
-
-        student_repo.update(student)
-        memory_sqlite_conn.commit()
-
-        student_list = student_repo.list(prebuild_tribes)
-        assert set(student_list) == set(prebuild_students)
-
-        moded_student = next(filter(lambda s: s.id == student.id, student_list))
-        assert moded_student == student
-
-
-def test_update_student_does_not_exists(memory_sqlite_conn, populate_db):
-    with populate_db(memory_sqlite_conn) as (prebuild_tribes, _):
-        student_repo = StudentSQLiteRepository(memory_sqlite_conn)
-
-        student = Student(name="jkl", tribe=prebuild_tribes[0])
-
-        with pytest.raises(StudentRepositoryError):
-            student_repo.update(student)
-
-
-def test_delete_student(memory_sqlite_conn, populate_db):
-    with populate_db(memory_sqlite_conn) as (prebuild_tribes, prebuild_students):
-        student_repo = StudentSQLiteRepository(memory_sqlite_conn)
-
-        deleted_student = prebuild_students.pop()
-        student_repo.delete(deleted_student.id)
-        memory_sqlite_conn.commit()
-
-        assert student_repo.list(prebuild_tribes) == prebuild_students

tests/integration/test_repository_tribe_sqlite.py

@@ -1,93 +0,0 @@
-import pytest
-
-from backend.model.tribe import Tribe
-from backend.repository.tribe_sqlite_repository import (
-    TribeRepositoryError,
-    TribeSQLiteRepository,
-)
-
-
-def test_get_tribe(memory_sqlite_conn, populate_db):
-    with populate_db(memory_sqlite_conn) as (prebuild_tribes, _):
-        name = prebuild_tribes[0].name
-
-        tribe_repo = TribeSQLiteRepository(memory_sqlite_conn)
-        tribes = tribe_repo.get(name)
-
-        assert prebuild_tribes[0] == tribes
-
-
-def test_get_tribe_not_exists(memory_sqlite_conn):
-    tribe_repo = TribeSQLiteRepository(memory_sqlite_conn)
-    with pytest.raises(TribeRepositoryError):
-        tribe_repo.get("Tribe0")
-
-
-def test_list_tribes(memory_sqlite_conn, populate_db):
-    with populate_db(memory_sqlite_conn) as (prebuild_tribes, _):
-        tribe_repo = TribeSQLiteRepository(memory_sqlite_conn)
-        listed_tribes = tribe_repo.list()
-
-        assert prebuild_tribes == listed_tribes
-
-
-def test_add_tribe(memory_sqlite_conn):
-    tribe_repo = TribeSQLiteRepository(memory_sqlite_conn)
-
-    tribe_infos = ("tribe1", "2nd")
-    tribe = Tribe(*tribe_infos)
-    tribe_repo.add(tribe)
-    memory_sqlite_conn.commit()
-
-    cursor = memory_sqlite_conn.cursor()
-    cursor.execute(
-        """
-        SELECT * FROM tribes WHERE name=?
-        """,
-        ("tribe1",),
-    )
-
-    row = cursor.fetchone()
-    assert row == tribe_infos
-
-
-def test_add_tribe_fail_exists(memory_sqlite_conn, populate_db):
-    with populate_db(memory_sqlite_conn) as (prebuild_tribes, _):
-        tribe_repo = TribeSQLiteRepository(memory_sqlite_conn)
-
-        existing_tribe = prebuild_tribes[0]
-        with pytest.raises(TribeRepositoryError):
-            tribe_repo.add(existing_tribe)
-
-
-def test_update_tribe(memory_sqlite_conn, populate_db):
-
-    with populate_db(memory_sqlite_conn) as (prebuild_tribes, _):
-        tribe_repo = TribeSQLiteRepository(memory_sqlite_conn)
-
-        name = prebuild_tribes[0].name
-        new_tribe = Tribe("Tribe0", "Term")
-        tribe_repo.update(name, new_tribe)
-        memory_sqlite_conn.commit()
-
-        prebuild_tribes[0] = new_tribe
-        assert tribe_repo.list() == prebuild_tribes
-
-
-def test_update_tribe_not_exists(memory_sqlite_conn, populate_db):
-    with populate_db(memory_sqlite_conn) as (prebuild_tribes, _):
-        tribe_repo = TribeSQLiteRepository(memory_sqlite_conn)
-
-        name = prebuild_tribes[0].name
-        new_tribe = Tribe("Tribe0", "Term")
-        with pytest.raises(TribeRepositoryError):
-            tribe_repo.update("iouiou", new_tribe)
-
-
-def test_delete_tribe(memory_sqlite_conn, populate_db):
-    with populate_db(memory_sqlite_conn) as (prebuild_tribes, _):
-        tribe_repo = TribeSQLiteRepository(memory_sqlite_conn)
-        deleted_tribe = prebuild_tribes.pop()
-        deleted_tribe.name = "iouiou"
-        with pytest.raises(TribeRepositoryError):
-            tribe_repo.delete(deleted_tribe)

tests/model/fakes.py

@@ -1,93 +0,0 @@
-from random import choice, randint
-
-from faker import Faker
-from faker.providers import DynamicProvider
-
-from backend.model.assessment import Assessment, Domain, Exercise, Question, Skill
-from backend.model.student import Student
-from backend.model.tribe import Tribe
-from backend.repository.abstract_repository import AbstractRepository
-
-level_provider = DynamicProvider(
-    provider_name="level",
-    elements=["2nd", "1ST", "SNT", "1G", "TG", "EnsSci"],
-)
-
-faker = Faker("fr_FR")
-faker.add_provider(level_provider)
-
-
-def build_tribes(quantity: int = 1) -> list[Tribe]:
-    return [Tribe(name=faker.word(), level=faker.level()) for _ in range(quantity)]
-
-
-def build_assessments(
-    tribes: list[Tribe], assessment_per_tribe: int = 1
-) -> list[Assessment]:
-
-    assessments = []
-    for t in tribes:
-        assessments += [
-            Assessment("faker.word()", t, randint(1, 3))
-            for _ in range(assessment_per_tribe)
-        ]
-
-    return assessments
-
-
-def build_exercises(
-    assessments: list[Assessment], exercise_per_assessment=1
-) -> list[Exercise]:
-    exercises = []
-    for assessment in assessments:
-        exercises += [
-            Exercise("faker.word()", assessment, "today")
-            for _ in range(exercise_per_assessment)
-        ]
-
-    return exercises
-
-
-def build_skills(quantity=1) -> list[Skill]:
-    return [Skill(faker.word(), faker.text()) for _ in range(quantity)]
-
-
-def build_domains(quantity=1) -> list[Domain]:
-    return [Domain(faker.word(), faker.text()) for _ in range(quantity)]
-
-
-def build_questions(
-    exercises: list[Exercise],
-    question_per_exercise=1,
-) -> list[Question]:
-    skills = build_skills()
-    domains = build_domains()
-
-    questions = []
-    for exercise in exercises:
-        questions += [
-            Question(
-                faker.word(),
-                exercise,
-                description="desc",
-                skill=choice(skills),
-                domain=choice(domains),
-                is_leveled=choice([True, False]),
-                scale=randint(1, 20),
-            )
-            for _ in range(question_per_exercise)
-        ]
-
-    return questions
-
-
-def build_student(
-    tribes: list[Tribe],
-    students_per_tribe=1,
-) -> list[Student]:
-    students = []
-    for tribe in tribes:
-        students += [
-            Student(name=faker.name(), tribe=tribe) for _ in range(students_per_tribe)
-        ]
-    return students

tests/model/test_assessment.py

@@ -1,26 +0,0 @@
-from random import choice, randint
-
-from tests.model.fakes import build_questions
-
-from .fakes import build_assessments, build_exercises, build_tribes
-
-
-def test_assessement_register_exercise():
-    exercise_qty = randint(1, 10)
-    tribes = build_tribes(1)
-    assessments = build_assessments(tribes, 1)
-    exercises = build_exercises(assessments, exercise_qty)
-
-    assert len(assessments[0].exercises) == exercise_qty
-    assert assessments[0].exercises == exercises
-
-
-def test_exercise_register_question():
-    question_qty = randint(1, 10)
-    tribes = build_tribes(1)
-    assessments = build_assessments(tribes, 1)
-    exercises = build_exercises(assessments, 1)
-    questions = build_questions(exercises, question_qty)
-
-    assert len(exercises[0].questions) == question_qty
-    assert exercises[0].questions == questions

tests/model/test_student.py

@@ -1,16 +0,0 @@
-from backend.model.student import Student
-from backend.model.tribe import Tribe
-from tests.model.fakes import build_tribes
-
-
-def test_init_student():
-    tribe = build_tribes(1)[0]
-    student = Student(name="Bob", tribe=tribe)
-    print(student)
-
-    assert type(student.name) == str
-    assert type(student.tribe) == Tribe
-    assert type(student.id) == str
-
-    student2 = Student(name="Hop", tribe=tribe)
-    assert student.id != student2.id

tests/model/test_tribe.py

@@ -1,33 +0,0 @@
-from random import randint
-
-import pytest
-
-from backend.model.student import Student
-from backend.model.tribe import Tribe, TribeError
-from tests.model.fakes import build_assessments, build_tribes
-
-
-def test_tribe_register_assessment():
-    assessments_qty = randint(1, 10)
-    tribes = build_tribes(1)
-    assessments = build_assessments(tribes, assessments_qty)
-
-    assert len(tribes[0].assessments) == assessments_qty
-    assert tribes[0].assessments == assessments
-
-
-def test_tribe_register_student():
-    tribe = Tribe("foo", "2nd")
-    student = Student(id="1", name="Bob", tribe=tribe)
-
-    assert len(tribe.students) == 1
-    assert tribe.students[0] == student
-
-
-def test_tribe_register_student_already_exists_overwrite():
-    tribe = Tribe("foo", "2nd")
-    student = Student(id="1", name="Bob", tribe=tribe)
-    changed_student = Student(id="1", name="Choupy", tribe=tribe)
-
-    assert tribe.students[0] == changed_student
-    assert student.name not in [s.name for s in tribe.students]

tests/unit/test_service.py

@@ -1,350 +0,0 @@
-import pytest
-
-from backend.model.student import Student
-from backend.model.tribe import Tribe
-from backend.repository.abstract_repository import AbstractRepository
-from backend.repository.student_sqlite_repository import StudentRepositoryError
-from backend.repository.tribe_sqlite_repository import TribeRepositoryError
-from backend.service import services
-from backend.service.services import (
-    StudentDoesExist,
-    StudentExists,
-    TribeDoesNotExist,
-    TribeExists,
-)
-from tests.model.fakes import build_student, build_tribes
-
-
-class FakeTribeRepository(AbstractRepository):
-    def __init__(self, tribes: list[Tribe] = []) -> None:
-        self._tribes = {t.name: t for t in tribes}
-
-    def add(self, tribe: Tribe) -> None:
-        if tribe.name not in self._tribes.keys():
-            self._tribes[tribe.name] = tribe
-        else:
-            raise TribeRepositoryError(f"{tribe} already exists")
-
-    def update(self, name: str, tribe: Tribe) -> None:
-        try:
-            self._tribes.pop(name)
-            self._tribes[tribe.name] = tribe
-        except KeyError:
-            raise TribeRepositoryError(f"The tribe {tribe} does not exists")
-
-    def list(self) -> list[Tribe]:
-        return list(self._tribes.values())
-
-    def get(self, name: str) -> Tribe:
-        try:
-            return self._tribes[name]
-        except KeyError:
-            raise TribeRepositoryError(f"The tribe {name} does not exists")
-
-    def delete(self, name: str) -> None:
-        try:
-            self._tribes.pop(name)
-        except KeyError:
-            raise TribeRepositoryError(f"The tribe {name} does not exists")
-
-
-class FakeStudentRepository(AbstractRepository):
-    def __init__(self, students: list[Student] = []) -> None:
-        self._students = {s.id: s for s in students}
-
-    def add(self, student: Student) -> None:
-        if student.id not in self._students.keys():
-            self._students[student.id] = student
-        else:
-            raise StudentRepositoryError(f"{student} already exists")
-
-    def update(self, student: Student) -> None:
-        if student.id not in self._students.keys():
-            raise StudentRepositoryError(f"The student {student} does not exists")
-
-        self._students[student.id] = student
-
-    def list(self) -> list[Student]:
-        return list(self._students.values())
-
-    def get(self, id: str) -> Student:
-        try:
-            return self._students[id]
-        except KeyError:
-            raise KeyError(f"The student ({id=}) does not exists")
-
-    def delete(self, id: str) -> None:
-        try:
-            self._students.pop(id)
-        except KeyError:
-            raise StudentRepositoryError(f"The student with id {id} does not exists")
-
-
-class FakeConn:
-    committed = False
-
-    def commit(self):
-        self.committed = True
-
-    def reset_commit(self):
-        self.committed = False
-
-
-def test_add_tribe():
-    tribe_repo = FakeTribeRepository()
-    tribe = build_tribes(1)[0]
-    conn = FakeConn()
-    services.add_tribe(
-        name=tribe.name, level=tribe.level, tribe_repo=tribe_repo, conn=conn
-    )
-
-    assert conn.committed is True
-    assert tribe_repo.list() == [tribe]
-
-
-def test_add_tribe_fail_exists():
-    tribe_repo = FakeTribeRepository()
-    tribe = build_tribes(1)[0]
-    conn = FakeConn()
-    services.add_tribe(
-        name=tribe.name, level=tribe.level, tribe_repo=tribe_repo, conn=conn
-    )
-    conn.reset_commit()
-
-    with pytest.raises(TribeExists):
-        services.add_tribe(
-            name=tribe.name, level=tribe.level, tribe_repo=tribe_repo, conn=conn
-        )
-
-    assert conn.committed == False
-
-
-def test_update_tribe():
-    tribes = build_tribes(3)
-    tribe_repo = FakeTribeRepository(tribes)
-    conn = FakeConn()
-
-    other_level = "iouiouiou"
-    tribes[0].level = other_level
-    services.update_tribe(
-        name=tribes[0].name, level=other_level, tribe_repo=tribe_repo, conn=conn
-    )
-
-    assert conn.committed is True
-    assert set(tribe_repo.list()) == set(tribes)
-
-
-def test_update_tribe_fail_not_exists():
-    tribes = build_tribes(3)
-    tribe_repo = FakeTribeRepository(tribes)
-    conn = FakeConn()
-
-    with pytest.raises(TribeDoesNotExist):
-        services.update_tribe(
-            name="azerty", level="jkl", tribe_repo=tribe_repo, conn=conn
-        )
-
-    assert conn.committed == False
-
-
-def test_delete_tribe():
-    tribes = build_tribes(3)
-    tribe_repo = FakeTribeRepository(tribes)
-    conn = FakeConn()
-
-    tribe = tribes.pop()
-    services.delete_tribe(name=tribe.name, tribe_repo=tribe_repo, conn=conn)
-
-    assert conn.committed is True
-    assert set(tribe_repo.list()) == set(tribes)
-
-
-def test_delete_tribe_fail_not_exists():
-    tribes = build_tribes(3)
-    tribe_repo = FakeTribeRepository(tribes)
-    conn = FakeConn()
-
-    with pytest.raises(TribeDoesNotExist):
-        services.delete_tribe(name="azerty", tribe_repo=tribe_repo, conn=conn)
-
-    assert conn.committed == False
-
-
-def test_add_student():
-    tribes = build_tribes(1)
-    tribe_repo = FakeTribeRepository(tribes)
-    student = build_student(tribes, 1)[0]
-    student_repo = FakeStudentRepository()
-    conn = FakeConn()
-
-    saved_student = services.add_student(
-        name=student.name,
-        tribe=student.tribe.name,
-        student_repo=student_repo,
-        tribe_repo=tribe_repo,
-        conn=conn,
-    )
-
-    assert conn.committed is True
-
-    listed_student = student_repo.list()[0]
-
-    assert student.name == listed_student.name
-    assert student.tribe.name == listed_student.tribe.name
-    # The id is not passed to the service, they can't have the same.
-    assert student.id != listed_student.id
-
-    assert saved_student == listed_student
-
-
-def test_add_student_tribe_doesnt_exist():
-    tribes = build_tribes(1)
-    tribe_repo = FakeTribeRepository(tribes)
-    students = build_student(tribes, 1)
-    student_repo = FakeStudentRepository()
-    conn = FakeConn()
-
-    student = students[0]
-    with pytest.raises(TribeDoesNotExist):
-        services.add_student(
-            name=student.name,
-            tribe="iuouiouiouio",
-            student_repo=student_repo,
-            tribe_repo=tribe_repo,
-            conn=conn,
-        )
-
-    assert conn.committed is False
-
-
-def test_update_student():
-    tribes = build_tribes(2)
-    tribe_repo = FakeTribeRepository(tribes)
-    students = build_student(tribes, 1)
-    student_repo = FakeStudentRepository(students)
-    conn = FakeConn()
-
-    id = students[0].id
-    new_name = "new name"
-    new_tribe_name = tribes[1].name
-
-    saved_student = services.update_student(
-        id=id,
-        name=new_name,
-        tribe=new_tribe_name,
-        student_repo=student_repo,
-        tribe_repo=tribe_repo,
-        conn=conn,
-    )
-
-    assert conn.committed is True
-
-    mod_student = student_repo.get(id)
-    assert mod_student.name == new_name
-    assert mod_student.tribe.name == new_tribe_name
-
-    listed_student = student_repo.list()
-    assert len(listed_student) == 2
-
-
-def test_update_student_tribe_doesnt_exist():
-    tribes = build_tribes(2)
-    tribe_repo = FakeTribeRepository(tribes)
-    students = build_student(tribes, 1)
-    student_repo = FakeStudentRepository(students)
-    conn = FakeConn()
-
-    id = students[0].id
-    new_name = "new name"
-    new_tribe_name = "not existing tribe"
-
-    with pytest.raises(TribeDoesNotExist):
-        services.update_student(
-            id=id,
-            name=new_name,
-            tribe=new_tribe_name,
-            student_repo=student_repo,
-            tribe_repo=tribe_repo,
-            conn=conn,
-        )
-
-    assert conn.committed is False
-
-    mod_student = student_repo.get(id)
-    assert mod_student.name == students[0].name
-    assert mod_student.tribe.name == students[0].tribe.name
-
-    listed_student = student_repo.list()
-    assert len(listed_student) == 2
-
-
-def test_update_student_doesnt_exist():
-    tribes = build_tribes(2)
-    tribe_repo = FakeTribeRepository(tribes)
-    students = build_student(tribes, 1)
-    student_repo = FakeStudentRepository(students)
-    conn = FakeConn()
-
-    id = "not existing id"
-    new_name = students[0].name
-    new_tribe_name = students[0].tribe.name
-
-    with pytest.raises(StudentDoesExist):
-        services.update_student(
-            id=id,
-            name=new_name,
-            tribe=new_tribe_name,
-            student_repo=student_repo,
-            tribe_repo=tribe_repo,
-            conn=conn,
-        )
-
-    assert conn.committed is False
-
-    original_student = student_repo.get(students[0].id)
-    assert original_student.name == students[0].name
-    assert original_student.tribe.name == students[0].tribe.name
-
-    listed_student = student_repo.list()
-    assert len(listed_student) == 2
-
-
-def test_delete_student():
-    tribes = build_tribes(2)
-    tribe_repo = FakeTribeRepository(tribes)
-    students = build_student(tribes, 1)
-    student_repo = FakeStudentRepository(students)
-    conn = FakeConn()
-
-    student = students.pop()
-
-    services.delete_student(
-        id=student.id,
-        student_repo=student_repo,
-        conn=conn,
-    )
-
-    assert conn.committed is True
-
-    listed_student = student_repo.list()
-    assert listed_student == students
-
-
-def test_delete_student_doesnt_exist():
-    tribes = build_tribes(2)
-    tribe_repo = FakeTribeRepository(tribes)
-    students = build_student(tribes, 1)
-    student_repo = FakeStudentRepository(students)
-    conn = FakeConn()
-
-    with pytest.raises(StudentDoesExist):
-        services.delete_student(
-            id="not existing id",
-            student_repo=student_repo,
-            conn=conn,
-        )
-
-    assert conn.committed is False
-
-    listed_student = student_repo.list()
-    assert set(listed_student) == set(students)