# rahul108/mess-management architecture

> Architecture diagram of the GitHub repository rahul108/mess-management, generated by GitDiagram from its file tree, README and a sample of source files (last updated 2026-06-27). It is an AI-made overview: check details against the source.

- Interactive diagram: https://gitdiagram.com/rahul108/mess-management
- Repository: https://github.com/rahul108/mess-management

## Overview

This repository is a Django-based backend for a mess-management system, organized as a modular REST API over PostgreSQL. The architecture is centered around Django’s standard project/app split: a top-level `api` project configures the runtime, while domain logic lives in separate apps.

1. **System composition**
   - `manage.py` is the command-line entry point.
   - `api/` contains the global Django wiring: `settings.py`, root `urls.py`, and both `asgi.py` and `wsgi.py`.
   - `config/gunicorn/dev.py` shows the app is also intended to run behind Gunicorn for deployment.

2. **Primary runtime and data store**
   - The backend runs on Python 3 with Django.
   - Persistence is PostgreSQL, as called out in the README and reflected in the migration-based model history.
   - The schema is managed through Django migrations in each app.

3. **Core bounded contexts**
   - `mess_app/` is the main domain area for mess operations.
   - `expense_app/` handles financial/expense workflows.
   - `user_app/` handles user-related behavior and likely identity/profile concerns.
   - `utils/` holds cross-cutting shared code.

4. **HTTP/API layer**
   - Each domain app has its own `urls.py`, `views.py`, and often `serializers.py`, which indicates the API is segmented by domain rather than built as one monolith of endpoints.
   - The root router in `api/urls.py` likely composes these app routes into a single API surface.
   - The README mentions Swagger at `/swagger/`, so the API is documented and discoverable via OpenAPI tooling.

5. **Domain model layer**
   - Each app has its own `models.py`, keeping persistence concerns close to the domain.
   - `mess_app` has multiple migration files, including several generated over time, suggesting an evolving schema with additional operational entities.
   - `expense_app` includes `enums.py`, which suggests some business states or categories are modeled explicitly rather than as free-form values.

6. **Business logic separation**
   - `expense_app/services.py` is a clear sign of a service layer that holds non-trivial business rules outside the view/controller layer.
   - `utils/services/fetch_data.py` indicates some reusable data-ingestion or integration logic lives outside the app boundaries and is shared where needed.
   - This separation implies views are thin orchestration layers, serializers validate/shape data, and services perform core operations.

7. **Likely request flow**
   - A request enters through Django routing in `api/urls.py` and the app-specific URL modules.
   - A view in the relevant app handles the request.
   - Serializers transform incoming/outgoing payloads and validate data.
   - Services perform domain logic and interact with models.
   - Models persist to PostgreSQL and return data back up the stack.

8. **Mess domain evolution**
   - The `mess_app` migration history includes several schema expansions with names suggesting duration/user/event-related entities.
   - That points to a domain that tracks not just current state but also historical or event-like records, which is important if you are drawing data flows or an audit/history boundary.

9. **Expense domain**
   - `expense_app` is more structured around business rules, with models, serializers, views, services, and enums all present.
   - This likely represents a separate bounded context from mess operations, with its own API endpoints and persistence model.

10. **User management**
   - `user_app` is relatively small in the tree, so user functionality is probably a supporting subsystem rather than the main business core.
   - It likely provides custom user entities or user-facing endpoints used by the other apps.

11. **Shared utilities**
   - `utils/models.py` suggests some shared model abstractions or reusable database patterns.
   - `utils/services/fetch_data.py` is the main sign of an external-data or batch-processing boundary in the repo.
   - If you are drawing architecture boundaries, treat `utils` as infrastructure/shared code rather than a business domain.

12. **Operations and deployment**
   - The README shows local setup uses a virtualenv, environment variables in `.env`, database migration, and Django’s built-in admin/superuser flow.
   - Production-style serving is via Gunicorn, not just the development server.
   - The presence of `.asgi` and `.wsgi` means the project supports standard Django deployment paths.

Overall, the architecture is a modular Django backend with domain-separated apps, a thin HTTP layer, service-based business logic in at least some domains, and PostgreSQL-backed persistence. For a diagram, the main boxes should be: Django project/config, app-level API modules, domain models/services, shared utils, and PostgreSQL.

Main entry points: [`api/settings.py`](https://github.com/rahul108/mess-management/blob/master/api/settings.py) (Settings), [`api/urls.py`](https://github.com/rahul108/mess-management/blob/master/api/urls.py) (Root URLs), [`expense_app/views.py`](https://github.com/rahul108/mess-management/blob/master/expense_app/views.py) (Expense Views), [`manage.py`](https://github.com/rahul108/mess-management/blob/master/manage.py) (manage.py)

## Diagram (Mermaid)

```mermaid
flowchart TD

subgraph group_project["Django project"]
  node_manage["manage.py<br/>entrypoint<br/>[manage.py]"]
  node_api_settings["Settings<br/>config<br/>[settings.py]"]
  node_api_urls["Root URLs<br/>router<br/>[urls.py]"]
  node_api_asgi["ASGI<br/>server interface<br/>[asgi.py]"]
  node_api_wsgi["WSGI<br/>server interface<br/>[wsgi.py]"]
  node_gunicorn_dev["Gunicorn cfg<br/>deploy config<br/>[dev.py]"]
end

subgraph group_mess["Mess app"]
  node_mess_urls["Mess URLs<br/>router<br/>[urls.py]"]
  node_mess_views["Mess Views<br/>api views<br/>[views.py]"]
  node_mess_serializers["Mess Serializers<br/>schema<br/>[serializers.py]"]
  node_mess_models[("Mess Models<br/>domain models<br/>[models.py]")]
end

subgraph group_expense["Expense app"]
  node_expense_urls["Expense URLs<br/>router<br/>[urls.py]"]
  node_expense_views["Expense Views<br/>api views<br/>[views.py]"]
  node_expense_serializers["Expense Serializers<br/>schema<br/>[serializers.py]"]
  node_expense_services["Expense Services<br/>business logic<br/>[services.py]"]
  node_expense_models[("Expense Models<br/>domain models<br/>[models.py]")]
end

subgraph group_user["User app"]
  node_user_views["User Views<br/>api views<br/>[views.py]"]
  node_user_models[("User Models<br/>domain models<br/>[models.py]")]
end

subgraph group_shared["Shared / infra"]
  node_utils_models[("Shared Models<br/>[models.py]")]
  node_fetch_data["Fetch Data<br/>integration service<br/>[fetch_data.py]"]
  node_postgres[("PostgreSQL<br/>database")]
end

node_manage -->|"loads"| node_api_settings
node_manage -->|"serves"| node_api_wsgi
node_manage -->|"serves"| node_api_asgi
node_api_settings -->|"wires"| node_api_urls
node_api_settings -->|"registers"| node_mess_models
node_api_settings -->|"registers"| node_expense_models
node_api_settings -->|"registers"| node_user_models
node_api_urls -->|"routes"| node_mess_urls
node_api_urls -->|"routes"| node_expense_urls
node_api_urls -->|"routes"| node_user_views
node_mess_urls -->|"dispatches"| node_mess_views
node_mess_views -->|"validates"| node_mess_serializers
node_mess_views -->|"reads/writes"| node_mess_models
node_expense_urls -->|"dispatches"| node_expense_views
node_expense_views -->|"validates"| node_expense_serializers
node_expense_views -->|"orchestrates"| node_expense_services
node_expense_services -->|"operates on"| node_expense_models
node_expense_models -->|"persists to"| node_postgres
node_mess_models -->|"persists to"| node_postgres
node_user_models -->|"persists to"| node_postgres
node_user_views -->|"reads/writes"| node_user_models
node_utils_models -->|"persists to"| node_postgres
node_fetch_data -->|"reads from"| node_postgres
node_expense_views -.->|"uses"| node_fetch_data

click node_manage "https://github.com/rahul108/mess-management/blob/master/manage.py"
click node_api_settings "https://github.com/rahul108/mess-management/blob/master/api/settings.py"
click node_api_urls "https://github.com/rahul108/mess-management/blob/master/api/urls.py"
click node_api_asgi "https://github.com/rahul108/mess-management/blob/master/api/asgi.py"
click node_api_wsgi "https://github.com/rahul108/mess-management/blob/master/api/wsgi.py"
click node_gunicorn_dev "https://github.com/rahul108/mess-management/blob/master/config/gunicorn/dev.py"
click node_mess_urls "https://github.com/rahul108/mess-management/blob/master/mess_app/urls.py"
click node_mess_views "https://github.com/rahul108/mess-management/blob/master/mess_app/views.py"
click node_mess_serializers "https://github.com/rahul108/mess-management/blob/master/mess_app/serializers.py"
click node_mess_models "https://github.com/rahul108/mess-management/blob/master/mess_app/models.py"
click node_expense_urls "https://github.com/rahul108/mess-management/blob/master/expense_app/urls.py"
click node_expense_views "https://github.com/rahul108/mess-management/blob/master/expense_app/views.py"
click node_expense_serializers "https://github.com/rahul108/mess-management/blob/master/expense_app/serializers.py"
click node_expense_services "https://github.com/rahul108/mess-management/blob/master/expense_app/services.py"
click node_expense_models "https://github.com/rahul108/mess-management/blob/master/expense_app/models.py"
click node_user_views "https://github.com/rahul108/mess-management/blob/master/user_app/views.py"
click node_user_models "https://github.com/rahul108/mess-management/blob/master/user_app/models.py"
click node_utils_models "https://github.com/rahul108/mess-management/blob/master/utils/models.py"
click node_fetch_data "https://github.com/rahul108/mess-management/blob/master/utils/services/fetch_data.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_manage,node_api_settings,node_api_urls,node_api_asgi,node_api_wsgi,node_gunicorn_dev toneBlue
class node_mess_urls,node_mess_views,node_mess_serializers,node_mess_models toneAmber
class node_expense_urls,node_expense_views,node_expense_serializers,node_expense_services,node_expense_models toneMint
class node_user_views,node_user_models toneRose
class node_utils_models,node_fetch_data,node_postgres toneIndigo
```

## Components

### Django project

Runtime configuration and deployment entrypoints

- [manage.py](https://github.com/rahul108/mess-management/blob/master/manage.py): entrypoint · Django command entrypoint · `manage.py`
- [Settings](https://github.com/rahul108/mess-management/blob/master/api/settings.py): config · Global Django configuration · `api/settings.py`
- [Root URLs](https://github.com/rahul108/mess-management/blob/master/api/urls.py): router · Top-level API route composition · `api/urls.py`
- [ASGI](https://github.com/rahul108/mess-management/blob/master/api/asgi.py): server interface · Async deployment entrypoint · `api/asgi.py`
- [WSGI](https://github.com/rahul108/mess-management/blob/master/api/wsgi.py): server interface · Sync deployment entrypoint · `api/wsgi.py`
- [Gunicorn cfg](https://github.com/rahul108/mess-management/blob/master/config/gunicorn/dev.py): deploy config · Gunicorn runtime configuration · `config/gunicorn/dev.py`

### Mess app

Core mess-management domain

- [Mess URLs](https://github.com/rahul108/mess-management/blob/master/mess_app/urls.py): router · Mess domain route definitions · `mess_app/urls.py`
- [Mess Views](https://github.com/rahul108/mess-management/blob/master/mess_app/views.py): api views · HTTP handlers for mess operations · `mess_app/views.py`
- [Mess Serializers](https://github.com/rahul108/mess-management/blob/master/mess_app/serializers.py): schema · Payload validation and shaping · `mess_app/serializers.py`
- [Mess Models](https://github.com/rahul108/mess-management/blob/master/mess_app/models.py): domain models · Mess persistence and history entities · `mess_app/models.py`

### Expense app

Financial and expense domain

- [Expense URLs](https://github.com/rahul108/mess-management/blob/master/expense_app/urls.py): router · Expense domain route definitions · `expense_app/urls.py`
- [Expense Views](https://github.com/rahul108/mess-management/blob/master/expense_app/views.py): api views · HTTP handlers for expense workflows · `expense_app/views.py`
- [Expense Serializers](https://github.com/rahul108/mess-management/blob/master/expense_app/serializers.py): schema · Expense payload validation and shaping · `expense_app/serializers.py`
- [Expense Services](https://github.com/rahul108/mess-management/blob/master/expense_app/services.py): business logic · Expense domain rules and orchestration · `expense_app/services.py`
- [Expense Models](https://github.com/rahul108/mess-management/blob/master/expense_app/models.py): domain models · Expense persistence entities · `expense_app/models.py`

### User app

User-facing support domain

- [User Views](https://github.com/rahul108/mess-management/blob/master/user_app/views.py): api views · User-related HTTP handlers · `user_app/views.py`
- [User Models](https://github.com/rahul108/mess-management/blob/master/user_app/models.py): domain models · User identity or profile persistence · `user_app/models.py`

### Shared / infra

Reusable utilities and persistence layer

- [Shared Models](https://github.com/rahul108/mess-management/blob/master/utils/models.py): shared models · Cross-cutting model abstractions · `utils/models.py`
- [Fetch Data](https://github.com/rahul108/mess-management/blob/master/utils/services/fetch_data.py): integration service · Reusable data-ingestion or sync logic · `utils/services/fetch_data.py`
- **PostgreSQL**: database · Primary relational data store

## Connections

- manage.py → Settings: loads · Django startup uses project settings
- manage.py → WSGI: serves · Management/runtime entrypoint for WSGI deployments
- manage.py → ASGI: serves · Management/runtime entrypoint for ASGI deployments
- Settings → Root URLs: wires · Settings enable the root router
- Settings → Mess Models: registers · App configuration includes mess domain models
- Settings → Expense Models: registers · App configuration includes expense domain models
- Settings → User Models: registers · App configuration includes user domain models
- Root URLs → Mess URLs: routes · Root API includes mess routes
- Root URLs → Expense URLs: routes · Root API includes expense routes
- Root URLs → User Views: routes · Root API exposes user-related endpoints
- Mess URLs → Mess Views: dispatches · Mess routes are handled by mess views
- Mess Views → Mess Serializers: validates · Views shape request and response payloads
- Mess Views → Mess Models: reads/writes · Mess handlers persist domain state
- Expense URLs → Expense Views: dispatches · Expense routes are handled by expense views
- Expense Views → Expense Serializers: validates · Views use serializers for API contracts
- Expense Views → Expense Services: orchestrates · Views delegate business rules to services
- Expense Services → Expense Models: operates on · Service layer manipulates expense entities
- Expense Models → PostgreSQL: persists to · Expense data is stored in PostgreSQL
- Mess Models → PostgreSQL: persists to · Mess data is stored in PostgreSQL
- User Models → PostgreSQL: persists to · User data is stored in PostgreSQL
- User Views → User Models: reads/writes · User endpoints access user persistence
- Shared Models → PostgreSQL: persists to · Shared persistence abstractions map to PostgreSQL
- Fetch Data → PostgreSQL: reads from · Shared integration service pulls or syncs data
- Expense Views → Fetch Data: uses · Expense workflows may reuse shared ingestion logic