notbeexoul/delicious_restaurant_management_system

1. Overall shape

- This is a single-process Python application organized as a role-based, menu-driven CLI system for a restaurant workflow.

- The architecture is split into a thin entry layer, four role packages, and a file-backed data layer.

2. Entry point and authentication

- main.py is the application bootstrap.

- It handles login, limited password attempts, role detection, and navigation into the correct dashboard for the authenticated user.

- The login layer is the main security boundary: it decides whether the user becomes an Admin, Chef, Manager, or Customer.

3. Role-based application boundary

- Each role has its own Python package:

- user_admin/

- user_chef/

- user_manager/

- user_customer/

- This separation keeps role-specific menus and actions isolated, which is the primary modularity pattern in the repo.

4. Admin subsystem

- user_admin/ contains admin dashboard and admin operations such as staff management, feedback review, reporting, and profile updates.

- The admin role is the top-level oversight layer: it consumes feedback and reporting data, and manages staff-related records.

5. Manager subsystem

- user_manager/ contains functions for customer management, menu/item management, and manager profile updates.

- The manager acts as the operational controller for menu and customer data, sitting between admin oversight and day-to-day restaurant operations.

6. Chef subsystem

- user_chef/ contains chef-facing modules for viewing orders, updating order status, and requesting ingredients.

- This package is the execution layer for kitchen workflow: it reads orders, changes fulfillment state, and feeds ingredient requests back into the system.

7. Customer subsystem

- user_customer/ contains customer features for placing orders, checking order status, sending feedback, and updating the customer profile.

- This is the only subsystem that initiates new order data into the system and creates feedback records for admin review.

8. Shared persistence layer

- User_Data/ is the durable data store for the app, using JSON files instead of a database.

- The main data files are:

- users.json and customer_credentials.json for identity/account data

- menu.json for available items

- orders.json for order lifecycle data

- inventory.json for stock/ingredient state

- feedbacks.json for customer feedback

- Because storage is file-based, most operations are read-modify-write against these shared JSON records.

9. Key data flows

- Customer → orders.json: new orders are created and later tracked by status.

- Chef → orders.json / inventory.json: chefs read incoming orders, update order state, and submit ingredient requests.

- Manager → menu.json / customer data: managers maintain menu and customer records.

- Admin ← feedbacks.json / reports data: admins review customer feedback and view system reports.

- This makes User_Data/ the central integration point shared by all role modules.

10. Profile handling as a cross-cutting concern

- Each role package includes a *profile.py module.

- These modules suggest profile editing/viewing is treated as a shared concern but still kept inside each role boundary, rather than centralized.

11. Runtime and packaging

- The repository is pure Python and uses package directories with __init__.py files to separate concerns.

- There is no evidence of a web framework, background worker, or database server; the system is intended to run locally as an interactive script.

12. Architecture diagram takeaway

- The clearest diagram is: main.py at the top → role dashboards → role actions → shared JSON data store.

- External dependencies are minimal; the major architectural constraint is the shared file-based persistence, which all roles read from and write to.