# tarequzzaman/smart-learning-backend architecture

> Architecture diagram of the GitHub repository tarequzzaman/smart-learning-backend, generated by GitDiagram from its file tree, README and a sample of source files (last updated 2026-06-30). It is an AI-made overview: check details against the source.

- Interactive diagram: https://gitdiagram.com/tarequzzaman/smart-learning-backend
- Repository: https://github.com/tarequzzaman/smart-learning-backend

## Overview

1. **What this repository is**
   - A containerized **FastAPI** service focused on **CRUD APIs** backed primarily by **SQLAlchemy + PostgreSQL 17.4**.
   - It exposes HTTP endpoints and serves autogenerated API docs at `/docs`.

2. **Top-level runtime shape**
   - The application entrypoint is `app/main.py`.
   - `Dockerfile` and `docker-compose.yml` define the deployment shape, so the system is intended to run as containers rather than as a bare local process.

3. **Request path through the app**
   - Incoming requests hit the FastAPI app, then flow into `app/api/routes.py` and `app/api/views.py`.
   - Those layers are the public HTTP boundary: routing, request/response handling, and endpoint orchestration.

4. **Business logic boundary**
   - `app/services/` contains the non-HTTP logic used by the API.
   - The service modules suggest distinct concerns:
     - `auth.py` for authentication/authorization
     - `password_helper.py` for password hashing/verification
     - `email_helper.py` for outbound email-related work
     - `cred_generation.py` for credential/token/account creation logic
     - `ai_helper.py` for AI-related operations
   - This indicates the API layer delegates meaningful work into services rather than embedding it in routes.

5. **Persistence layer**
   - `app/db/` is the data-access boundary.
   - `database.py` likely holds the SQLAlchemy engine/session setup.
   - `crud.py` contains the query/update primitives used by the services or views.
   - `models.py` defines ORM entities.
   - `schemas.py` defines request/response validation and serialization models.
   - `app/db/mongo_db.py` exists as a separate DB helper, but the README and project name make PostgreSQL/SQLAlchemy the primary persistence path.

6. **Data flow between layers**
   - Typical flow is: **HTTP request → route/view → service → CRUD/ORM → PostgreSQL → response schema → HTTP response**.
   - Validation and serialization happen at the schema layer, while persistence is isolated behind CRUD/models.

7. **Background processing**
   - `app/celery/` contains a Celery application and task definitions.
   - This implies some operations can be offloaded from request handling into asynchronous/background jobs.
   - The exact broker/backend is not visible here, so those dependencies are likely configured externally via environment/configuration.

8. **Cross-cutting support**
   - `config.py` centralizes environment-driven configuration.
   - `app/services/auth.py` and `password_helper.py` indicate security-sensitive logic is separated from generic CRUD code.
   - `app/services/email_helper.py` suggests integration with an external mail provider or SMTP endpoint.

9. **External dependencies and infrastructure**
   - The only explicitly documented external data store is **PostgreSQL 17.4**.
   - Container orchestration is handled by **Docker Compose**, which likely wires the API container to the database and any task infrastructure.
   - FastAPI’s OpenAPI generation provides the interactive docs surface.

10. **How to diagram this repo**
   - Draw four main boundaries: **API layer**, **service layer**, **database/data-access layer**, and **background jobs**.
   - Show PostgreSQL as the primary state store.
   - Show Celery as an async side-channel from services for deferred work.
   - Keep Mongo as optional/secondary unless a deeper code review shows it is actively used.

Main entry points: [`app/api/views.py`](https://github.com/tarequzzaman/smart-learning-backend/blob/main/app/api/views.py) (Views), [`app/db/crud.py`](https://github.com/tarequzzaman/smart-learning-backend/blob/main/app/db/crud.py) (CRUD), [`app/main.py`](https://github.com/tarequzzaman/smart-learning-backend/blob/main/app/main.py) (App entry), [`app/celery/tasks.py`](https://github.com/tarequzzaman/smart-learning-backend/blob/main/app/celery/tasks.py) (Tasks)

## Diagram (Mermaid)

```mermaid
flowchart TD

subgraph group_runtime["Runtime"]
  node_main["App entry<br/>fastapi entrypoint<br/>[main.py]"]
  node_dockerfile["Dockerfile<br/>container image"]
  node_compose["Compose<br/>container orchestration<br/>[docker-compose.yml]"]
  node_config["Config<br/>[config.py]"]
end

subgraph group_api["API Layer"]
  node_routes["Routes<br/>http routing<br/>[routes.py]"]
  node_views["Views<br/>http handlers<br/>[views.py]"]
end

subgraph group_services["Services"]
  node_authsvc["Auth<br/>security service<br/>[auth.py]"]
  node_passsvc["Passwords<br/>crypto helper<br/>[password_helper.py]"]
  node_mailsvc["Email<br/>outbound service<br/>[email_helper.py]"]
  node_credsvc["Credentials<br/>account service<br/>[cred_generation.py]"]
  node_aisvc["AI helper<br/>integration service<br/>[ai_helper.py]"]
end

subgraph group_data["Data Layer"]
  node_dbinit[("DB setup<br/>sqlalchemy bootstrap<br/>[database.py]")]
  node_crud["CRUD<br/>data access<br/>[crud.py]"]
  node_models["Models<br/>[models.py]"]
  node_schemas["Schemas<br/>[schemas.py]"]
  node_postgres[("PostgreSQL<br/>primary datastore")]
  node_mongo[("Mongo helper<br/>secondary datastore<br/>[mongo_db.py]")]
end

subgraph group_jobs["Background Jobs"]
  node_celeryapp["Celery app<br/>task runner<br/>[celery_app.py]"]
  node_tasks["Tasks<br/>background jobs<br/>[tasks.py]"]
end

node_dockerfile -->|"builds"| node_main
node_compose -->|"runs"| node_main
node_compose -->|"provisions"| node_postgres
node_main -->|"mounts"| node_routes
node_routes -->|"dispatches"| node_views
node_main -->|"loads"| node_config
node_views -->|"uses"| node_authsvc
node_views -->|"uses"| node_passsvc
node_views -->|"uses"| node_mailsvc
node_views -->|"uses"| node_credsvc
node_views -->|"uses"| node_aisvc
node_views -->|"validates"| node_schemas
node_authsvc -->|"reads/writes"| node_crud
node_crud -->|"queries"| node_dbinit
node_dbinit -->|"maps"| node_models
node_crud -->|"operates on"| node_models
node_crud -->|"stores in"| node_postgres
node_views -.->|"offloads"| node_celeryapp
node_celeryapp -->|"executes"| node_tasks
node_tasks -->|"calls"| node_mailsvc
node_tasks -->|"uses"| node_crud
node_mongo -.->|"optional"| node_crud

click node_main "https://github.com/tarequzzaman/smart-learning-backend/blob/main/app/main.py"
click node_dockerfile "https://github.com/tarequzzaman/smart-learning-backend/tree/main/Dockerfile"
click node_compose "https://github.com/tarequzzaman/smart-learning-backend/blob/main/docker-compose.yml"
click node_config "https://github.com/tarequzzaman/smart-learning-backend/blob/main/config.py"
click node_routes "https://github.com/tarequzzaman/smart-learning-backend/blob/main/app/api/routes.py"
click node_views "https://github.com/tarequzzaman/smart-learning-backend/blob/main/app/api/views.py"
click node_authsvc "https://github.com/tarequzzaman/smart-learning-backend/blob/main/app/services/auth.py"
click node_passsvc "https://github.com/tarequzzaman/smart-learning-backend/blob/main/app/services/password_helper.py"
click node_mailsvc "https://github.com/tarequzzaman/smart-learning-backend/blob/main/app/services/email_helper.py"
click node_credsvc "https://github.com/tarequzzaman/smart-learning-backend/blob/main/app/services/cred_generation.py"
click node_aisvc "https://github.com/tarequzzaman/smart-learning-backend/blob/main/app/services/ai_helper.py"
click node_dbinit "https://github.com/tarequzzaman/smart-learning-backend/blob/main/app/db/database.py"
click node_crud "https://github.com/tarequzzaman/smart-learning-backend/blob/main/app/db/crud.py"
click node_models "https://github.com/tarequzzaman/smart-learning-backend/blob/main/app/db/models.py"
click node_schemas "https://github.com/tarequzzaman/smart-learning-backend/blob/main/app/db/schemas.py"
click node_mongo "https://github.com/tarequzzaman/smart-learning-backend/blob/main/app/db/mongo_db.py"
click node_celeryapp "https://github.com/tarequzzaman/smart-learning-backend/blob/main/app/celery/celery_app.py"
click node_tasks "https://github.com/tarequzzaman/smart-learning-backend/blob/main/app/celery/tasks.py"

classDef toneNeutral fill:#f8fafc,stroke:#334155,stroke-width:1.5px,color:#0f172a
classDef toneBlue fill:#dbeafe,stroke:#2563eb,stroke-width:1.5px,color:#172554
classDef toneAmber fill:#fef3c7,stroke:#d97706,stroke-width:1.5px,color:#78350f
classDef toneMint fill:#dcfce7,stroke:#16a34a,stroke-width:1.5px,color:#14532d
classDef toneRose fill:#ffe4e6,stroke:#e11d48,stroke-width:1.5px,color:#881337
classDef toneIndigo fill:#e0e7ff,stroke:#4f46e5,stroke-width:1.5px,color:#312e81
classDef toneTeal fill:#ccfbf1,stroke:#0f766e,stroke-width:1.5px,color:#134e4a
class node_main,node_dockerfile,node_compose,node_config toneBlue
class node_routes,node_views toneAmber
class node_authsvc,node_passsvc,node_mailsvc,node_credsvc,node_aisvc toneMint
class node_dbinit,node_crud,node_models,node_schemas,node_postgres,node_mongo toneRose
class node_celeryapp,node_tasks toneIndigo
```

## Components

### Runtime

Application entrypoint and containerized deployment shape

- [App entry](https://github.com/tarequzzaman/smart-learning-backend/blob/main/app/main.py): fastapi entrypoint · Creates and runs the FastAPI application · `app/main.py`
- [Dockerfile](https://github.com/tarequzzaman/smart-learning-backend/tree/main/Dockerfile): container image · Builds the API container · `Dockerfile`
- [Compose](https://github.com/tarequzzaman/smart-learning-backend/blob/main/docker-compose.yml): container orchestration · Wires app and supporting services · `docker-compose.yml`
- [Config](https://github.com/tarequzzaman/smart-learning-backend/blob/main/config.py): env config · Centralized environment-driven settings · `config.py`

### API Layer

FastAPI routing and request handling

- [Routes](https://github.com/tarequzzaman/smart-learning-backend/blob/main/app/api/routes.py): http routing · Declares API routes and endpoint wiring · `app/api/routes.py`
- [Views](https://github.com/tarequzzaman/smart-learning-backend/blob/main/app/api/views.py): http handlers · Handles requests and orchestrates responses · `app/api/views.py`

### Services

Business logic and cross-cutting helpers

- [Auth](https://github.com/tarequzzaman/smart-learning-backend/blob/main/app/services/auth.py): security service · Authentication and authorization logic · `app/services/auth.py`
- [Passwords](https://github.com/tarequzzaman/smart-learning-backend/blob/main/app/services/password_helper.py): crypto helper · Password hashing and verification · `app/services/password_helper.py`
- [Email](https://github.com/tarequzzaman/smart-learning-backend/blob/main/app/services/email_helper.py): outbound service · Email-related integration logic · `app/services/email_helper.py`
- [Credentials](https://github.com/tarequzzaman/smart-learning-backend/blob/main/app/services/cred_generation.py): account service · Credential, token, and account generation · `app/services/cred_generation.py`
- [AI helper](https://github.com/tarequzzaman/smart-learning-backend/blob/main/app/services/ai_helper.py): integration service · AI-related operations used by the app · `app/services/ai_helper.py`

### Data Layer

ORM models, CRUD, schemas, and database setup

- [DB setup](https://github.com/tarequzzaman/smart-learning-backend/blob/main/app/db/database.py): sqlalchemy bootstrap · Engine and session configuration · `app/db/database.py`
- [CRUD](https://github.com/tarequzzaman/smart-learning-backend/blob/main/app/db/crud.py): data access · Database query and update primitives · `app/db/crud.py`
- [Models](https://github.com/tarequzzaman/smart-learning-backend/blob/main/app/db/models.py): orm models · SQLAlchemy entity definitions · `app/db/models.py`
- [Schemas](https://github.com/tarequzzaman/smart-learning-backend/blob/main/app/db/schemas.py): validation schemas · Request and response models · `app/db/schemas.py`
- **PostgreSQL**: primary datastore · Primary persistent state store
- [Mongo helper](https://github.com/tarequzzaman/smart-learning-backend/blob/main/app/db/mongo_db.py): secondary datastore · Optional MongoDB integration boundary · `app/db/mongo_db.py`

### Background Jobs

Celery app and asynchronous task execution

- [Celery app](https://github.com/tarequzzaman/smart-learning-backend/blob/main/app/celery/celery_app.py): task runner · Async job application and task registration · `app/celery/celery_app.py`
- [Tasks](https://github.com/tarequzzaman/smart-learning-backend/blob/main/app/celery/tasks.py): background jobs · Deferred work executed outside request handling · `app/celery/tasks.py`

## Connections

- Dockerfile → App entry: builds · Packages the application entrypoint into a container
- Compose → App entry: runs · Starts the API container alongside dependencies
- Compose → PostgreSQL: provisions · Connects the service to PostgreSQL
- App entry → Routes: mounts · Registers HTTP routes on the FastAPI app
- Routes → Views: dispatches · Routes hand off request handling to views
- App entry → Config: loads · Reads runtime configuration at startup
- Views → Auth: uses · Delegates security-sensitive logic to services
- Views → Passwords: uses · Hashes and verifies credentials
- Views → Email: uses · Triggers outbound email work
- Views → Credentials: uses · Creates tokens and account-related artifacts
- Views → AI helper: uses · Invokes AI-related operations
- Views → Schemas: validates · Shapes request input and response output
- Auth → CRUD: reads/writes · Uses data access primitives for identity flows
- CRUD → DB setup: queries · Executes database operations through SQLAlchemy
- DB setup → Models: maps · Binds ORM models into the session/engine setup
- CRUD → Models: operates on · Persists and loads ORM entities
- CRUD → PostgreSQL: stores in · Primary persistence target
- Views → Celery app: offloads · Sends deferred work to background processing
- Celery app → Tasks: executes · Registers and runs asynchronous tasks
- Tasks → Email: calls · Background jobs can reuse email integration logic
- Tasks → CRUD: uses · Jobs may read or update persistent state
- Mongo helper → CRUD: optional · Secondary database helper boundary, if enabled