Feat: add a README

.gitignore

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

.pre-commit-config.yaml

@@ -0,0 +1,19 @@
+# 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

@@ -1,34 +1,19 @@
-# Encore une autre façon d'enregistrer et d'analyser mes notes
+# Recopytex
 
-Cette fois ci, on utilise:
+One more rewrite of Opytex. This time, it more a learning project than a operational project.
 
-- 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
+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.
 
-## Les fichiers CSV
+## Backend API
 
-les paramètres sont décris dans ./recopytex/config.py
+It uses **fastapi**, **sqlalchemy**.
 
-### Descriptions des questions
+### Installing
 
-- Trimestre
-- Nom
-- Date
-- Exercice
-- Question
-- Competence
-- Domaine
-- Commentaire
-- Bareme
-- Est_nivele
+    poetry install
 
+### Fire up
 
-### Valeurs pour notes les élèves
-
-- Score: 0, 1, 2, 3
-- Pas de réponses: .
-- Absent: a
-- Dispensé: (vide)
+    uvicorn backend.api.main:app --reload
 
+## Frontend

backend/adapters/orm.py

@@ -0,0 +1,49 @@
+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

@@ -0,0 +1,33 @@
+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

@@ -0,0 +1,194 @@
+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

@@ -0,0 +1,16 @@
+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

@@ -0,0 +1,16 @@
+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

@@ -0,0 +1,69 @@
+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

@@ -0,0 +1,33 @@
+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

@@ -0,0 +1,55 @@
+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

@@ -0,0 +1,23 @@
+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

@@ -0,0 +1,105 @@
+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

@@ -0,0 +1,23 @@
+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

@@ -0,0 +1,89 @@
+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

@@ -0,0 +1,116 @@
+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

@@ -1,5 +0,0 @@
-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

@@ -1,5 +0,0 @@
-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

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

example/tribe1.csv

@@ -1,21 +0,0 @@
-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

@@ -1,21 +0,0 @@
-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

@@ -0,0 +1,872 @@
+# This file is automatically @generated by Poetry and should not be changed by hand.
+
+[[package]]
+name = "anyio"
+version = "3.6.2"
+description = "High level compatibility layer for multiple asynchronous event loop implementations"
+category = "main"
+optional = false
+python-versions = ">=3.6.2"
+files = [
+    {file = "anyio-3.6.2-py3-none-any.whl", hash = "sha256:fbbe32bd270d2a2ef3ed1c5d45041250284e31fc0a4df4a5a6071842051a51e3"},
+    {file = "anyio-3.6.2.tar.gz", hash = "sha256:25ea0d673ae30af41a0c442f81cf3b38c7e79fdc7b60335a4c14e05eb0947421"},
+]
+
+[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 = [
+    {file = "attrs-22.1.0-py2.py3-none-any.whl", hash = "sha256:86efa402f67bf2df34f51a335487cf46b1ec130d02b8d39fd248abfd30da551c"},
+    {file = "attrs-22.1.0.tar.gz", hash = "sha256:29adc2665447e5191d0e7c568fde78b21f9672d344281d0c6e1ab085429b22b6"},
+]
+
+[package.extras]
+dev = ["cloudpickle", "coverage[toml] (>=5.0.2)", "furo", "hypothesis", "mypy (>=0.900,!=0.940)", "pre-commit", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "sphinx", "sphinx-notfound-page", "zope.interface"]
+docs = ["furo", "sphinx", "sphinx-notfound-page", "zope.interface"]
+tests = ["cloudpickle", "coverage[toml] (>=5.0.2)", "hypothesis", "mypy (>=0.900,!=0.940)", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "zope.interface"]
+tests-no-zope = ["cloudpickle", "coverage[toml] (>=5.0.2)", "hypothesis", "mypy (>=0.900,!=0.940)", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins"]
+
+[[package]]
+name = "certifi"
+version = "2022.12.7"
+description = "Python package for providing Mozilla's CA Bundle."
+category = "dev"
+optional = false
+python-versions = ">=3.6"
+files = [
+    {file = "certifi-2022.12.7-py3-none-any.whl", hash = "sha256:4ad3232f5e926d6718ec31cfc1fcadfde020920e278684144551c91769c7bc18"},
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+]
+
+[[package]]
+name = "cfgv"
+version = "3.3.1"
+description = "Validate configuration and produce human readable error messages."
+category = "dev"
+optional = false
+python-versions = ">=3.6.1"
+files = [
+    {file = "cfgv-3.3.1-py2.py3-none-any.whl", hash = "sha256:c6a0883f3917a037485059700b9e75da2464e6c27051014ad85ba6aaa5884426"},
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+]
+
+[[package]]
+name = "charset-normalizer"
+version = "2.1.1"
+description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet."
+category = "dev"
+optional = false
+python-versions = ">=3.6.0"
+files = [
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+]
+
+[package.extras]
+unicode-backport = ["unicodedata2"]
+
+[[package]]
+name = "click"
+version = "8.1.3"
+description = "Composable command line interface toolkit"
+category = "main"
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "click-8.1.3-py3-none-any.whl", hash = "sha256:bb4d8133cb15a609f44e8213d9b391b0809795062913b383c62be0ee95b1db48"},
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+]
+
+[package.dependencies]
+colorama = {version = "*", markers = "platform_system == \"Windows\""}
+
+[[package]]
+name = "colorama"
+version = "0.4.6"
+description = "Cross-platform colored terminal text."
+category = "main"
+optional = false
+python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,>=2.7"
+files = [
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+[[package]]
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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

@@ -0,0 +1,24 @@
+[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

@@ -1,20 +0,0 @@
-#!/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

@@ -1,23 +0,0 @@
-#!/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

@@ -1,8 +0,0 @@
-#!/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

@@ -1,9 +0,0 @@
-#!/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

@@ -1,112 +0,0 @@
-#!/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

@@ -1,216 +0,0 @@
-#!/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

@@ -1,128 +0,0 @@
-#!/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

@@ -1,50 +0,0 @@
-#!/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

@@ -1,6 +0,0 @@
-#!/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

@@ -1,14 +0,0 @@
-#!/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

@@ -1,27 +0,0 @@
-#!/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

@@ -1,88 +0,0 @@
-#!/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

@@ -1,15 +0,0 @@
-#!/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

@@ -1,75 +0,0 @@
----
-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

@@ -1,52 +0,0 @@
-#!/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

@@ -1,298 +0,0 @@
-#!/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

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

recopytex/datalib/dataframe.py

@@ -1,21 +0,0 @@
-#!/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

@@ -1,257 +0,0 @@
-#!/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

@@ -1,40 +0,0 @@
-#!/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

@@ -1,18 +0,0 @@
-#!/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

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

requirements_dev.txt

@@ -1,69 +0,0 @@
-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

@@ -1,26 +0,0 @@
-#!/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

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

tests/conftest.py

@@ -0,0 +1,134 @@
+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

@@ -0,0 +1,104 @@
+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

@@ -0,0 +1,119 @@
+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

@@ -0,0 +1,43 @@
+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

@@ -0,0 +1,107 @@
+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

@@ -0,0 +1,93 @@
+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

@@ -0,0 +1,93 @@
+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

@@ -0,0 +1,26 @@
+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

@@ -0,0 +1,16 @@
+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

@@ -0,0 +1,33 @@
+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

@@ -0,0 +1,350 @@
+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)