diff --git a/README.md b/README.md new file mode 100644 index 0000000..38a1c6c --- /dev/null +++ b/README.md @@ -0,0 +1,55 @@ +# HealthAI Coach + +An ai coach that helps you for a better shape. + +## Développement +### Backend +> [!note] Pré requis +> +> Vous devez avoir nix et docker/podman d'installer + +Téléchargement des dépendences et lancement d'un environnement de +développement. +```bash +nix develop # télécharge les dépendences du projet + +``` +Lancement de la base de donnée et de grafana +```bash +docker compose up -d +``` +Lancement du backend +```bash +cd backend +# créer les tables néscéssaires dans la base de donnée +python manage.py migrate +python manage.py runserver # lance le serveur de développement +``` +l'api sera disponible sur l'url [](http://localhost:8080/api) +l'interface d'administration sur l'url [](http://localhost:8080/admin) (admin/admin) +la documentation swagger sur l'url [](http://localhost:8080/api/schema/swagger-ui/) +**Grafana** sera disponible sur l'url [](http://localhost:3000) (admin/admin par défaut) + +### Configuration Grafana + +Après le démarrage, configurez la source de données PostgreSQL dans Grafana : + +**Option 1 : Script automatique (recommandé)** +```powershell +.\grafana\setup_datasource.ps1 +``` + +**Option 2 : Configuration manuelle** +Voir le guide dans `grafana/SETUP.md` +## Déploiement +```bash +# clone le repository +git clone https://gitlab.com/la-team-du-sang-de-la-veine/healthai-coach.git +cd healthai-coach +# copiez la configuration d'example et remplissez les champs de mot +# de passe pour la base de donnée. +cp docker-compose.production.example.yml docker-compose.production.yml +# la commande de deploy vas builder les composants néscéssaires et lancer les +# services via docker +docker compose up -d -f docker-compose.production.yml +``` diff --git a/dossier/config.yaml b/dossier/config.yaml new file mode 100644 index 0000000..9b3a07a --- /dev/null +++ b/dossier/config.yaml @@ -0,0 +1,10 @@ +# yaml-language-server: $schema=https://raw.githubusercontent.com/mfontanini/presenterm/master/config-file-schema.json +options: + implicit_slide_ends: true + strict_front_matter_parsing: false +defaults: + theme: light +export: + dimensions: + columns: 106 + rows: 75 diff --git a/dossier/dossier.md b/dossier/dossier.md new file mode 100644 index 0000000..cc23b22 --- /dev/null +++ b/dossier/dossier.md @@ -0,0 +1,232 @@ +--- +title: "MSPR EPSI - HealthAI" +sub_title: "Rapport technique et guide de déploiement" +authors: + - Abdellah Ait Abdelkarim + - Awenn lelu + - Noah Lejolivet + - Thibau Lasblei + - https://gitlab.com/la-team-du-sang-de-la-veine/healthai-coach +--- +Table de matières +=== + + +# Mise en contexte +# Choix technologiques +## Backend +### Framework +### Bases de donnée +## Visualisation +## Environnement de développement +## Environnement de déploiement +# résultat obtenus +# difficultés +# évolutions + +Mise en contexte +=== +L'entreprise healthAI coach cherche à mettre en place une application +de conseil d'hygiène de vie orienté autour d'une aproche holistique ( +considérer la santé comme un ensemble de système interagissant entre eux + plutôt qu'un seul point précis) de la santé. + +Dans ce cadre, le but de ce projet est de concevoire une solution logicelle +satisfsaisant les points suivants: +# Business model +La monétisation de l'application doit être assurée par 2 paliers d'abonnements. + +Les utilisateurs non abonnés ont accès aux fonctionnalités suivantes: +- journal alimenaire, suivis d'activité, IMC, tableaux de progressions simples +Les 2 paliers suivants donnes accèes aux fonctions suivantes: +- Premium **(9.99€ / mois)** + - accès à des recommendations spécialisés fournis par IA, des plans + nutritionels et sportifs plus détailés, et un suivis plus fin des + objectifs. +- Premium + + - Gestion des données lié au sommeil / poid / fréquence cardiaque, + consultation en ligne avec nutritionistes partenaires. + +En plus de ces paliers d'abonnements, l'application dois pouvoir être vendus +en **B2B** à des entreprises partenaires avec la possibilités pour ces +dernières d'apposer leur branding. + +Mise en contexte +=== +# Cibles +Les cibles de l'application sont: +- Millenials / GenZ +- urbains actifs ne disposant que d'un temps limité pour leur activité sportive +- débutant en nutrition / sport +- personne avec des objectifs spécifiques + - perte de poid + - renforcement musculaire + - amélioration de sommeil + - ... +# Différentation concurentielle +Le marché étant fortement concurenciel, l'application se différencie par les +points suivants: +- approche hollistique de la santé +- intégration de l'IA générative +- stratégie B2B permettant une source de revenu / visibilité suplémentaire +# Scalabilité technologique +Afin de soutenir sa croissance future et son modèle B2B, l'application +dois pouvoir être scalable au niveau de ses différents composants. + +Ainsi, chaque module de l'application dois être construit sur de technologies +modernes, documentées et permettant d'assurer la stabilité et la +scalabilité de chaque module séparément, ainsi que leur déploiement et +maintenance pour des clients B2B. + +Mise en contexte +=== +# Objectif +Dans le cadre de ce bloc de développement, l'objectif est de fournis un +prototype de la partie **Ingestion de données** de l'application finale. + +Il s'agis de définir le socle technique et structurel sur lequel les +développements ultérieurs vont se baser. + +Le rendus final doit être capable d'ingérer des set de données provenant +de multiples source de données et de les convertir dans un format standardisé +afin d'être exploité par les parties ultérieurs de l'application. + +Les objectifs concrêts sont les suivants: +- Mettre en place un système de collecte et de traitement autmatiser des +données de manière fiable et sécuriser. +- Développer un processus de transformation de ces données afin de garantir +l'exploitation de ces dernières dans des outils ultérieurs +- Proposer une **API REST** permettant aux clients mobiles et web d'accéder +à ses données. +- livrer une interface de visualisation permettant de suivre les indicateurs +clés de l'application (revenu, nb d'utilisateurs, abonnements, ect...) + +Choix technologique +=== +# Backend +## Framework +Le choix à été fait d'utiliser [Django](https://www.djangoproject.com/) +et [Django Rest Framework](https://www.django-rest-framework.org/) afin de +gérer la partie **API** de l'application. + +Ce choix est motivé par le fait que +*Django* est un framework reconnu comme étant particulièrement maintenable sur +le long terme, il est conçus avec le language *Python*, qui, bien que simple +à apprendre, ce qui en fait un plus pour l'intégration de nouveaux arrivant, +est un language extrêmement facile à déployé sur de multiples plateformes, +et disposant d'un écosystème riche autant pour le web que pour le traitement +de données et l'IA. + +De plus, Django propose nativement une interface d'administration extensible +permettant d'interagir avec les données stockée dans la base de données, +ainsi qu'une gestion des rôles et des utilisateurs, permettant de répondre +à ces besoins pour un coût de développement minime. + +Django propose de plus un ORM pouvant s'intégrer dans des scripts externes +permettant de standardiser la manière dont la base de données est accéder, +fiabilisant les opérations de lectures et d'écritures. + +## Bases de donnée +### [Postgres](https://www.postgresql.org/) +Base de donnée principale servant au stockage "*froid*" des données, +postgres dispose d'un large écosystème d'utilisateur et de libairies associés et +est reconnu comme une solution performante et open source. +### [Valkey](https://valkey.io/) +Base de données de cache pour les requêtes api et les données d'entrainement +du futur modèle d'IA. **Valkey** est une base clé/valeur stockée en RAM qui implémente +la spécification de *Redis*, ce qui la rend compatible avec le parc de librairie +déjà en place pour cette dernière. + +Choix technologique +=== +# Visualisation +## [Grafana](https://grafana.com/oss/grafana/) +Grafana est une solution open source simple d'utilisation et extrêmement +versatile concernant les types et sources de données qu'elle peut aggréer. + +Elle permet de concevoir des dashboard contenant une variété non négligeable +de graphiques et, de son côté open source, peut être étendre pour satisfaire +les besoin spécifiques du projet. + +# Environnement de développement +## [nix](https://nixos.org/) +Nix est un manage de paquet permettant de créer des environnement de +développements et des paquets de manière déclarrative et reproductible. + +Ce mécanisme permet d'assurer la reproductibilité de l'environnement de +développement d'un pc à un autre, et de manière isolée, permettant de +réduire les erreurs lié à l'environnement du développeur. + +De plus, cela peut être utilisé comme outil de build avec les +mêmes avantages, permettant de réduire les outils de builds différents et +de simplifié drastiquement la maintenance de scripts de builds et de CI/CD. +## [git](https://git-scm.com/) +Le projet est versionné avec git afin d'assurer un historique des +modifications du code et que chaque développeur puisse intervenir sur +des branches spécifiques du code et les fusionner avec celles des autres. +Git est la référence moderne de ce type d'outil et est un choix par défaut +dans la plupart des projets. +## [gitlab](gitlab.com) +Gitlab est la forge logicielle concurente à github, contrairement à ce dernier, +il n'est pas détenu par Microsoft et est self hostable, ce qui fait que le +projet pourra être facilement porté si l'entreprise décide de self hoster son +infrastructure dans le futur. Gitlab intègre de même des outils de gestion de +projet via les issues boards, ainsi qu'une CI/CD solide. + +Choix Technologique +=== +# Environnement de déploiement +## Virtualisation +### Podman +Dans un soucis d'isolation des différents modules du projet, chaque +composant sera fournis sous la forme d'une image **podman** qui est une +implémentation open source du standard de **Docker**, ce dernier permet de +plus de fonctionner *rootless* par défaut, ce qui permet d'éviter les +escalations de privilèges si la daemon est compromis. De plus, les images +serons builder par **nix** afin d'assurer la reproductibilité des builds. + +Le choix de conteurs comme environnement de déploiement permet de pouvoir +isoler les dépendences de chaque module, ainsi que de pouvoir les déployé, +stopper et redémarrer séparément. De plus, dans une optique de scalabilité, +il est possible de lancer plusieurs instances d'un module afin de distribuer +la charge sur toutes les instance disponibles. + +Difficultés +=== +La plus grosse difficulté du projet fut de déterminer l'approche que l'on +allait avoir concernant le traitement des données par l'IA, quel données était +pertinantes, comment utilisé l'IA dans des fonctions où elle aurais plus +de valeur ajouté qu'une approche déterministe. + +Au final, l'approche retenue +est d'utilisé l'IA comme un moteur de suggestions et de concevoir l'interface +de l'application de manière "AI-first", c'est à dire de présenter l'application +comme une interface de conversation avec l'agent, ce dernier pouvant répondre +aux questions de l'utilisateur basée sur ses données biométriques et le +dataset auquel il a accès. L'utilisateur converse ainsi avec l'agent afin +de lui énoncé ses objectifs, lui demandé des exemples de repas et des exercices +sur le moment de son activité, conseils qu'il peut retrouver dans son historique. + +Évolutions +=== +# CI/CD +La mise en place d'un processus de développement continue permettant d'analyser +de façon automatique la qualité du code serais un plus non négligeable afin +d'assurer la stabilité long terme du produit. + +De plus, un système de déploiement continue permettrais de réduire les marges +d'erreurs et les coûts lié à des déploiement manuels, ainsi que de mettre en place +différents environnements (production / développement) de manière automatisé. + +# Tests +De la même façon que la mise en place d'une CI, la mise en place de Test unitaires +pour les pipelines d'ingestions et l'API permettrais de s'assurer de l'intégrité +du code au cours des développements successif. Ces points pourrais être +directement intégrer au seins du processus de développement via des méthodologies +de *TDD* + + + +Dossier de déploiement +=== + diff --git a/dossier/dossier.pdf b/dossier/dossier.pdf new file mode 100644 index 0000000..ab79383 Binary files /dev/null and b/dossier/dossier.pdf differ diff --git a/dossier/uml.md b/dossier/uml.md new file mode 100644 index 0000000..e66944e --- /dev/null +++ b/dossier/uml.md @@ -0,0 +1,24 @@ +UML +=== +# cas d'utilisations +## Admin + +## User + +UML +=== +# Séquence +## Consultation des données via API + +## Grafana + + +UML +=== +# Entity Relations + + +UML +=== +# Architecture + diff --git a/dossier/uml/ERD.md b/dossier/uml/ERD.md new file mode 100644 index 0000000..b2ede2e --- /dev/null +++ b/dossier/uml/ERD.md @@ -0,0 +1,110 @@ +```mermaid +render +--- +config: + layout: elk +--- +erDiagram + UserProfile ||--o{ Objective: objective + UserProfile |o--o{ Subscription: subscription + UserProfile |o--o{ Diet: diet + UserProfile }o--o{ Ingredient: allergies + UserProfile ||--|| User: user + + Ingredient |o--o{ Diet: diet + Recipe }|--o{ Ingredient: ingredients + ExercisePlan }|--o{ Exercise: exercises + ExercisePlan ||--o{ User: user + MealPlan }|--o{ Recipe: meals + MealPlan ||--o{ User: user + Exercise |o--o{ Equipement: equipements + Exercise |o--o{ BodyPart: bodyparts + Exercise |o--o{ Muscle: muscles + + User{ + int id + bool is_superuser + string password + datetime last_login + datetime date_joined + string username + string email + bool is_active + string first_name + string last_name + bool is_staff + } + UserProfile{ + int id + date birthdate + bool sexe + string gender + integer weight + integer height + string picture + } + Objective{ + int id + string name + string description + string image_url + } + Subscription { + int id + string name + int price + string description + string image_url + } + Ingredient{ + int id + string name + string description + string type + int calories + int proteins + int lipids + int fibers + int sugars + int salt + } + Recipe{ + int id + string name + int minute_preparation + int minute_preparation + string summary + string steps + string picture + } + MealPlan { + int id + datetime created_date + } + Diet { + int id + string name + string description + } + Exercise { + int id + string name + string image + string instructions + } + Equipement { + int id + string name + } + BodyPart { + int id + string name + } + Muscle { + int id + string name + } + ExercisePlan { + int id + datetime created_date + } +``` diff --git a/dossier/uml/architecture.md b/dossier/uml/architecture.md new file mode 100644 index 0000000..765c09e --- /dev/null +++ b/dossier/uml/architecture.md @@ -0,0 +1,27 @@ +```mermaid +render +architecture-beta + group back(Server)[HealhAI Back] + group api(cloud)[API] in back + group etl(cloud)[ETL] in back + group datavis(cloud)[Data visualisation] in back + + service db(database)[Database] in api + service gunicorn(server)[gunicorn] in api + service grafana(cloud)[Grafana] in datavis + service django-admin(cloud)[Django Admin] in datavis + service redis(database)[Redis] in etl + service parser(server)[Parser] in etl + + junction parserJunction in etl + junction redisJunction in etl + + gunicorn:L -- R:db + parser:B -- T:redis + parser:R --> L:parserJunction + redis:R <-- L:redisJunction + parserJunction:B -- T:redisJunction + + grafana:T <-- B:db + django-admin:T -- B:gunicorn + gunicorn:T -- B:redisJunction +``` diff --git a/dossier/uml/sequences/api.md b/dossier/uml/sequences/api.md new file mode 100644 index 0000000..acfdc4e --- /dev/null +++ b/dossier/uml/sequences/api.md @@ -0,0 +1,15 @@ + +```mermaid +render +sequenceDiagram + actor Utilisateur + participant Client + participant API + participant Auth + participant Service + participant DB + Utilisateur->>Client: Demande consultation données + Client->>API: GET /api/paramètre + API->>Auth: Vérifier token JWT + API->>Service: récupérerLesDonnées + Service->>DB: SELECT données +``` diff --git a/dossier/uml/sequences/grafana.md b/dossier/uml/sequences/grafana.md new file mode 100644 index 0000000..61414d1 --- /dev/null +++ b/dossier/uml/sequences/grafana.md @@ -0,0 +1,7 @@ +```mermaid +render +sequenceDiagram + participant Grafana + participant DB + Grafana->>DB: requêtes SQL statistiques + Grafana->>Grafana: affichage graphiques +``` diff --git a/dossier/uml/usecases/admin.md b/dossier/uml/usecases/admin.md new file mode 100644 index 0000000..f946074 --- /dev/null +++ b/dossier/uml/usecases/admin.md @@ -0,0 +1,23 @@ +```mermaid +render +mindmap + root((Admin)) + Utilisateur + Ajouter Utilisateur + Modifier Utilisateur + Supprimer Utilisateur + Aliment + Ajouter + Modifier + Supprimer + Excercice + Ajouter + Modifier + Supprimer + Abonnement + Ajouter + Modifier + Supprimer + Dataset + Exporter les données + Consulter les rapports d'erreur +``` diff --git a/dossier/uml/usecases/user.md b/dossier/uml/usecases/user.md new file mode 100644 index 0000000..175e666 --- /dev/null +++ b/dossier/uml/usecases/user.md @@ -0,0 +1,18 @@ +```mermaid +render +mindmap + root((User)) + Créer un compte + Se Déconnecter + Se Connecter + Consultation + Données biométriques + Objectif + Journal d'activité + Catalogue nutritionel + Catalogue d'excercice + Abonnement + Consulter + Souscrire + Annuler + +``` diff --git a/flake.nix b/flake.nix index 317e90f..7c85249 100644 --- a/flake.nix +++ b/flake.nix @@ -72,11 +72,23 @@ virtualenv = pythonSet.mkVirtualEnv "healthai-dev-env" workspace.deps.all; in { - default = pkgs.mkShell { + dossier = pkgs.mkShellNoCC { + PRESENTERM_CONFIG_FILE = ./dossier/config.yaml; + packages = with pkgs; [ + presenterm + yaml-language-server + mermaid-cli + pythonSet.python.pkgs.weasyprint + ]; + }; + default = pkgs.mkShellNoCC { packages = [ virtualenv pkgs.uv pythonSet.python.pkgs.setuptools + + pkgs.ruff + pkgs.taplo ]; env = { UV_NO_SYNC = "1"; diff --git a/pyproject.toml b/pyproject.toml index efd3b9a..a1c987e 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -2,12 +2,13 @@ name = "healthai" version = "0.1.0" description = "Add your description here" -requires-python = ">=3.12" +requires-python = ">=3.13" dependencies = [ "django>=6.0.2", "django-cors-headers>=4.9.0", "djangorestframework>=3.16.1", "drf-spectacular>=0.29.0", + "pillow>=12.1.1", "psycopg2-binary>=2.9.11", "redis>=7.2.1", ] @@ -19,3 +20,10 @@ dependencies = [ requires = ["uv_build>=0.10.0,<0.11.0"] build-backend = "uv_build" +[dependency-groups] +dev = [ + "black>=26.3.0", + "python-lsp-server>=1.14.0", + "jedi-language-server>=0.46.0", +] + diff --git a/src/healthai/api/__pycache__/__init__.cpython-313.pyc b/src/healthai/api/__pycache__/__init__.cpython-313.pyc new file mode 100644 index 0000000..fa5956d Binary files /dev/null and b/src/healthai/api/__pycache__/__init__.cpython-313.pyc differ diff --git a/src/healthai/api/__pycache__/admin.cpython-313.pyc b/src/healthai/api/__pycache__/admin.cpython-313.pyc new file mode 100644 index 0000000..a740f71 Binary files /dev/null and b/src/healthai/api/__pycache__/admin.cpython-313.pyc differ diff --git a/src/healthai/api/__pycache__/apps.cpython-313.pyc b/src/healthai/api/__pycache__/apps.cpython-313.pyc new file mode 100644 index 0000000..b1e437d Binary files /dev/null and b/src/healthai/api/__pycache__/apps.cpython-313.pyc differ diff --git a/src/healthai/api/__pycache__/models.cpython-313.pyc b/src/healthai/api/__pycache__/models.cpython-313.pyc new file mode 100644 index 0000000..ba06497 Binary files /dev/null and b/src/healthai/api/__pycache__/models.cpython-313.pyc differ diff --git a/src/healthai/api/apps.py b/src/healthai/api/apps.py index d87006d..14b89a8 100644 --- a/src/healthai/api/apps.py +++ b/src/healthai/api/apps.py @@ -2,4 +2,4 @@ from django.apps import AppConfig class ApiConfig(AppConfig): - name = 'api' + name = "api" diff --git a/src/healthai/api/migrations/0001_initial.py b/src/healthai/api/migrations/0001_initial.py new file mode 100644 index 0000000..b503188 --- /dev/null +++ b/src/healthai/api/migrations/0001_initial.py @@ -0,0 +1,290 @@ +# Generated by Django 6.0.2 on 2026-03-08 11:25 + +import datetime +import django.db.models.deletion +from django.conf import settings +from django.db import migrations, models + + +class Migration(migrations.Migration): + + initial = True + + dependencies = [ + migrations.swappable_dependency(settings.AUTH_USER_MODEL), + ] + + operations = [ + migrations.CreateModel( + name="Bodypart", + fields=[ + ( + "id", + models.BigAutoField( + auto_created=True, + primary_key=True, + serialize=False, + verbose_name="ID", + ), + ), + ("name", models.CharField(max_length=200)), + ], + ), + migrations.CreateModel( + name="Diet", + fields=[ + ( + "id", + models.BigAutoField( + auto_created=True, + primary_key=True, + serialize=False, + verbose_name="ID", + ), + ), + ("name", models.CharField(max_length=200)), + ("description", models.TextField()), + ], + ), + migrations.CreateModel( + name="Equipement", + fields=[ + ( + "id", + models.BigAutoField( + auto_created=True, + primary_key=True, + serialize=False, + verbose_name="ID", + ), + ), + ("name", models.CharField(max_length=200)), + ], + ), + migrations.CreateModel( + name="Muscle", + fields=[ + ( + "id", + models.BigAutoField( + auto_created=True, + primary_key=True, + serialize=False, + verbose_name="ID", + ), + ), + ("name", models.CharField(max_length=200)), + ], + ), + migrations.CreateModel( + name="Objectif", + fields=[ + ( + "id", + models.BigAutoField( + auto_created=True, + primary_key=True, + serialize=False, + verbose_name="ID", + ), + ), + ("name", models.CharField(max_length=200)), + ("description", models.TextField()), + ( + "image_url", + models.ImageField(upload_to="", verbose_name="objectives"), + ), + ], + ), + migrations.CreateModel( + name="Recipe", + fields=[ + ( + "id", + models.BigAutoField( + auto_created=True, + primary_key=True, + serialize=False, + verbose_name="ID", + ), + ), + ("nom", models.CharField(max_length=300)), + ("minutes_preparation", models.IntegerField()), + ("minutes_cuisson", models.IntegerField()), + ("summary", models.TextField()), + ("steps", models.TextField()), + ("picture", models.ImageField(upload_to="", verbose_name="recipes")), + ], + ), + migrations.CreateModel( + name="Subscription", + fields=[ + ( + "id", + models.BigAutoField( + auto_created=True, + primary_key=True, + serialize=False, + verbose_name="ID", + ), + ), + ("name", models.CharField(max_length=200)), + ("price", models.FloatField()), + ("description", models.TextField()), + ("image_url", models.ImageField(upload_to="subscriptions")), + ], + ), + migrations.CreateModel( + name="Exercise", + fields=[ + ( + "id", + models.BigAutoField( + auto_created=True, + primary_key=True, + serialize=False, + verbose_name="ID", + ), + ), + ("name", models.CharField(max_length=200)), + ("instuctions", models.TextField()), + ("image", models.ImageField(upload_to="exercise")), + ( + "bodyparts", + models.ManyToManyField(related_name="exercises", to="api.bodypart"), + ), + ( + "equipements", + models.ManyToManyField( + related_name="exercises", to="api.equipement" + ), + ), + ( + "muscles", + models.ManyToManyField(related_name="exercises", to="api.muscle"), + ), + ], + ), + migrations.CreateModel( + name="Ingredient", + fields=[ + ( + "id", + models.BigAutoField( + auto_created=True, + primary_key=True, + serialize=False, + verbose_name="ID", + ), + ), + ("name", models.CharField(max_length=200)), + ("desription", models.TextField()), + ("type", models.CharField(max_length=50)), + ("calories", models.IntegerField()), + ("proteins", models.IntegerField()), + ("lipids", models.IntegerField()), + ("fibers", models.IntegerField()), + ("sugars", models.IntegerField()), + ("salts", models.IntegerField()), + ("is_allergen", models.BooleanField(default=False)), + ( + "diet", + models.ForeignKey( + blank=True, + null=True, + on_delete=django.db.models.deletion.SET_NULL, + related_name="ingredients", + to="api.diet", + ), + ), + ], + ), + migrations.CreateModel( + name="UserProfile", + fields=[ + ( + "id", + models.BigAutoField( + auto_created=True, + primary_key=True, + serialize=False, + verbose_name="ID", + ), + ), + ("birthdate", models.DateField()), + ("sexe", models.CharField()), + ("weight", models.IntegerField()), + ("height", models.IntegerField()), + ("picture", models.ImageField(upload_to="profiles")), + ( + "allergies", + models.ManyToManyField(related_name="users", to="api.ingredient"), + ), + ( + "diet", + models.ForeignKey( + blank=True, + null=True, + on_delete=django.db.models.deletion.SET_NULL, + related_name="users", + to="api.diet", + ), + ), + ( + "objective", + models.ForeignKey( + null=True, + on_delete=django.db.models.deletion.SET_NULL, + related_name="users", + to="api.objectif", + ), + ), + ( + "subscription", + models.ForeignKey( + null=True, + on_delete=django.db.models.deletion.SET_NULL, + related_name="users", + to="api.subscription", + ), + ), + ( + "user", + models.OneToOneField( + on_delete=django.db.models.deletion.CASCADE, + to=settings.AUTH_USER_MODEL, + ), + ), + ], + ), + migrations.CreateModel( + name="ExercisePlan", + fields=[ + ( + "id", + models.BigAutoField( + auto_created=True, + primary_key=True, + serialize=False, + verbose_name="ID", + ), + ), + ( + "created_date", + models.DateTimeField(default=datetime.datetime.now, editable=False), + ), + ( + "exercises", + models.ManyToManyField(related_name="plans", to="api.exercise"), + ), + ( + "user", + models.ForeignKey( + on_delete=django.db.models.deletion.CASCADE, + related_name="plans", + to="api.userprofile", + ), + ), + ], + ), + ] diff --git a/src/healthai/api/migrations/__pycache__/0001_initial.cpython-313.pyc b/src/healthai/api/migrations/__pycache__/0001_initial.cpython-313.pyc new file mode 100644 index 0000000..9ef3224 Binary files /dev/null and b/src/healthai/api/migrations/__pycache__/0001_initial.cpython-313.pyc differ diff --git a/src/healthai/api/migrations/__pycache__/__init__.cpython-313.pyc b/src/healthai/api/migrations/__pycache__/__init__.cpython-313.pyc new file mode 100644 index 0000000..0ba73b0 Binary files /dev/null and b/src/healthai/api/migrations/__pycache__/__init__.cpython-313.pyc differ diff --git a/src/healthai/api/models.py b/src/healthai/api/models.py index 71a8362..e770e40 100644 --- a/src/healthai/api/models.py +++ b/src/healthai/api/models.py @@ -1,3 +1,114 @@ from django.db import models +from django.contrib.auth.models import User +from datetime import datetime -# Create your models here. + +class UserProfile(models.Model): + user = models.OneToOneField(User, on_delete=models.CASCADE) + birthdate = models.DateField() + sexe = models.BooleanField() # bio sex + gender = models.CharField(max_length=200) # gender identity + weight = models.IntegerField() # in g + height = models.IntegerField() # in cm + picture = models.ImageField(upload_to="profiles") + + allergies = models.ManyToManyField("Ingredient", related_name="users") + diet = models.ForeignKey( + "Diet", on_delete=models.SET_NULL, null=True, blank=True, related_name="users" + ) + objective = models.ForeignKey( + "Objectif", on_delete=models.SET_NULL, null=True, related_name="users" + ) + subscription = models.ForeignKey( + "Subscription", related_name="users", on_delete=models.SET_NULL, null=True + ) + # exercise_plans / exercises [old] + # will be better to have an object "exercise plan" + # wich store the current plan for the user along + # with the date of plan generation. + + +class Objective(models.Model): + name = models.CharField(max_length=200) + description = models.TextField() + image_url = models.ImageField("objectives") + + +class Subscription(models.Model): + # Plan + name = models.CharField(max_length=200) + price = models.FloatField() # in USD + description = models.TextField() + image_url = models.ImageField(upload_to="subscriptions") + + +class Diet(models.Model): + name = models.CharField(max_length=200) + description = models.TextField() + + +class Ingredient(models.Model): + # Aliment + name = models.CharField(max_length=200) + description = models.TextField() + type = models.CharField(max_length=50) + calories = models.IntegerField() + proteins = models.IntegerField() # in mg/100g + lipids = models.IntegerField() # in mg/100g + fibers = models.IntegerField() # in mg/100g + sugars = models.IntegerField() # in mg/100g + salts = models.IntegerField() # in mg/100g + is_allergen = models.BooleanField(default=False) + diet = models.ForeignKey( + Diet, + related_name="ingredients", + on_delete=models.SET_NULL, + null=True, + blank=True, + ) + + +class Recipe(models.Model): + name = models.CharField(max_length=300) + minutes_preparation = models.IntegerField() + minutes_cuisson = models.IntegerField() + summary = models.TextField() + steps = models.TextField() + picture = models.ImageField("recipes") + ingredients = models.ManyToManyField(Ingredient, related_name="ingredients") + + +class ExercisePlan(models.Model): + created_date = models.DateTimeField(default=datetime.now, editable=False) + exercises = models.ManyToManyField("Exercise", related_name="plans") + user = models.ForeignKey( + UserProfile, related_name="exercise_plans", on_delete=models.CASCADE + ) + +class MealPlan(models.Model): + created_date = models.DateTimeField(default=datetime.now, editable=False) + meals = models.ManyToManyField("Recipe", related_name="plans") + user = models.ForeignKey( + UserProfile, related_name="meal_plans", on_delete=models.CASCADE + ) + + +class Exercise(models.Model): + name = models.CharField(max_length=200) + instuctions = models.TextField() + image = models.ImageField(upload_to="exercise") + equipements = models.ManyToManyField("Equipement", related_name="exercises") + bodyparts = models.ManyToManyField("Bodypart", related_name="exercises") + muscles = models.ManyToManyField("Muscle", related_name="exercises") + + +class Equipement(models.Model): + name = models.CharField(max_length=200) + + +class Bodypart(models.Model): + name = models.CharField(max_length=200) + + +class Muscle(models.Model): + name = models.CharField(max_length=200) diff --git a/src/healthai/etl/apps.py b/src/healthai/etl/apps.py index d873afb..0767dc4 100644 --- a/src/healthai/etl/apps.py +++ b/src/healthai/etl/apps.py @@ -2,4 +2,4 @@ from django.apps import AppConfig class EtlConfig(AppConfig): - name = 'etl' + name = "etl" diff --git a/src/healthai/healthai/__pycache__/__init__.cpython-313.pyc b/src/healthai/healthai/__pycache__/__init__.cpython-313.pyc index 6dc70dd..50c0720 100644 Binary files a/src/healthai/healthai/__pycache__/__init__.cpython-313.pyc and b/src/healthai/healthai/__pycache__/__init__.cpython-313.pyc differ diff --git a/src/healthai/healthai/__pycache__/settings.cpython-313.pyc b/src/healthai/healthai/__pycache__/settings.cpython-313.pyc index eb25112..45a4def 100644 Binary files a/src/healthai/healthai/__pycache__/settings.cpython-313.pyc and b/src/healthai/healthai/__pycache__/settings.cpython-313.pyc differ diff --git a/src/healthai/healthai/__pycache__/urls.cpython-313.pyc b/src/healthai/healthai/__pycache__/urls.cpython-313.pyc new file mode 100644 index 0000000..6a1a6f5 Binary files /dev/null and b/src/healthai/healthai/__pycache__/urls.cpython-313.pyc differ diff --git a/src/healthai/healthai/asgi.py b/src/healthai/healthai/asgi.py index a60c51c..9e7bdae 100644 --- a/src/healthai/healthai/asgi.py +++ b/src/healthai/healthai/asgi.py @@ -11,6 +11,6 @@ import os from django.core.asgi import get_asgi_application -os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'healthai.settings') +os.environ.setdefault("DJANGO_SETTINGS_MODULE", "healthai.settings") application = get_asgi_application() diff --git a/src/healthai/healthai/settings.py b/src/healthai/healthai/settings.py index 818ea0b..a13157a 100644 --- a/src/healthai/healthai/settings.py +++ b/src/healthai/healthai/settings.py @@ -20,7 +20,7 @@ BASE_DIR = Path(__file__).resolve().parent.parent # See https://docs.djangoproject.com/en/6.0/howto/deployment/checklist/ # SECURITY WARNING: keep the secret key used in production secret! -SECRET_KEY = 'django-insecure-*sbfn+r!9%p$u@ugm=5877*#ee$uukoeh*q@=%%ow1o$#4ad#x' +SECRET_KEY = "django-insecure-*sbfn+r!9%p$u@ugm=5877*#ee$uukoeh*q@=%%ow1o$#4ad#x" # SECURITY WARNING: don't run with debug turned on in production! DEBUG = True @@ -31,51 +31,53 @@ ALLOWED_HOSTS = [] # Application definition INSTALLED_APPS = [ - 'django.contrib.admin', - 'django.contrib.auth', - 'django.contrib.contenttypes', - 'django.contrib.sessions', - 'django.contrib.messages', - 'django.contrib.staticfiles', + "django.contrib.admin", + "django.contrib.auth", + "django.contrib.contenttypes", + "django.contrib.sessions", + "django.contrib.messages", + "django.contrib.staticfiles", + + "api", ] MIDDLEWARE = [ - 'django.middleware.security.SecurityMiddleware', - 'django.contrib.sessions.middleware.SessionMiddleware', - 'django.middleware.common.CommonMiddleware', - 'django.middleware.csrf.CsrfViewMiddleware', - 'django.contrib.auth.middleware.AuthenticationMiddleware', - 'django.contrib.messages.middleware.MessageMiddleware', - 'django.middleware.clickjacking.XFrameOptionsMiddleware', + "django.middleware.security.SecurityMiddleware", + "django.contrib.sessions.middleware.SessionMiddleware", + "django.middleware.common.CommonMiddleware", + "django.middleware.csrf.CsrfViewMiddleware", + "django.contrib.auth.middleware.AuthenticationMiddleware", + "django.contrib.messages.middleware.MessageMiddleware", + "django.middleware.clickjacking.XFrameOptionsMiddleware", ] -ROOT_URLCONF = 'healthai.urls' +ROOT_URLCONF = "healthai.urls" TEMPLATES = [ { - 'BACKEND': 'django.template.backends.django.DjangoTemplates', - 'DIRS': [], - 'APP_DIRS': True, - 'OPTIONS': { - 'context_processors': [ - 'django.template.context_processors.request', - 'django.contrib.auth.context_processors.auth', - 'django.contrib.messages.context_processors.messages', + "BACKEND": "django.template.backends.django.DjangoTemplates", + "DIRS": [], + "APP_DIRS": True, + "OPTIONS": { + "context_processors": [ + "django.template.context_processors.request", + "django.contrib.auth.context_processors.auth", + "django.contrib.messages.context_processors.messages", ], }, }, ] -WSGI_APPLICATION = 'healthai.wsgi.application' +WSGI_APPLICATION = "healthai.wsgi.application" # Database # https://docs.djangoproject.com/en/6.0/ref/settings/#databases DATABASES = { - 'default': { - 'ENGINE': 'django.db.backends.sqlite3', - 'NAME': BASE_DIR / 'db.sqlite3', + "default": { + "ENGINE": "django.db.backends.sqlite3", + "NAME": BASE_DIR / "db.sqlite3", } } @@ -85,16 +87,16 @@ DATABASES = { AUTH_PASSWORD_VALIDATORS = [ { - 'NAME': 'django.contrib.auth.password_validation.UserAttributeSimilarityValidator', + "NAME": "django.contrib.auth.password_validation.UserAttributeSimilarityValidator", }, { - 'NAME': 'django.contrib.auth.password_validation.MinimumLengthValidator', + "NAME": "django.contrib.auth.password_validation.MinimumLengthValidator", }, { - 'NAME': 'django.contrib.auth.password_validation.CommonPasswordValidator', + "NAME": "django.contrib.auth.password_validation.CommonPasswordValidator", }, { - 'NAME': 'django.contrib.auth.password_validation.NumericPasswordValidator', + "NAME": "django.contrib.auth.password_validation.NumericPasswordValidator", }, ] @@ -102,9 +104,9 @@ AUTH_PASSWORD_VALIDATORS = [ # Internationalization # https://docs.djangoproject.com/en/6.0/topics/i18n/ -LANGUAGE_CODE = 'en-us' +LANGUAGE_CODE = "en-us" -TIME_ZONE = 'UTC' +TIME_ZONE = "UTC" USE_I18N = True @@ -114,4 +116,4 @@ USE_TZ = True # Static files (CSS, JavaScript, Images) # https://docs.djangoproject.com/en/6.0/howto/static-files/ -STATIC_URL = 'static/' +STATIC_URL = "static/" diff --git a/src/healthai/healthai/urls.py b/src/healthai/healthai/urls.py index 1cb0b36..4fb3323 100644 --- a/src/healthai/healthai/urls.py +++ b/src/healthai/healthai/urls.py @@ -14,9 +14,10 @@ Including another URLconf 1. Import the include() function: from django.urls import include, path 2. Add a URL to urlpatterns: path('blog/', include('blog.urls')) """ + from django.contrib import admin from django.urls import path urlpatterns = [ - path('admin/', admin.site.urls), + path("admin/", admin.site.urls), ] diff --git a/src/healthai/healthai/wsgi.py b/src/healthai/healthai/wsgi.py index 34ab7d6..043c231 100644 --- a/src/healthai/healthai/wsgi.py +++ b/src/healthai/healthai/wsgi.py @@ -11,6 +11,6 @@ import os from django.core.wsgi import get_wsgi_application -os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'healthai.settings') +os.environ.setdefault("DJANGO_SETTINGS_MODULE", "healthai.settings") application = get_wsgi_application() diff --git a/src/healthai/manage.py b/src/healthai/manage.py index 2de2763..048d3da 100644 --- a/src/healthai/manage.py +++ b/src/healthai/manage.py @@ -1,12 +1,13 @@ #!/usr/bin/env python """Django's command-line utility for administrative tasks.""" + import os import sys def main(): """Run administrative tasks.""" - 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