Skip to main content

Documentation Index

Fetch the complete documentation index at: https://mintlify.com/EduCabrera-k/Menu_Hamburguesas/llms.txt

Use this file to discover all available pages before exploring further.

Rendón Burgers uses MongoDB Atlas as its database backend. The Flask app connects to a single Atlas cluster at startup via pymongo, and all order data, sales history, and inventory availability are persisted across three dedicated collections in the rendon_burger_db database.

​
Collections

The app uses three collections, each with a distinct responsibility:

pedidos_activos

Stores in-progress orders that are currently being prepared or awaiting dispatch.

historial_ventas

Stores completed orders once they are dispatched. Acts as a permanent sales log.

inventario_stock

Stores per-item availability flags. Each document tracks whether a menu item is currently available for ordering.

​
Inventory document format

Each document in inventario_stock follows this structure: 
{ "item_id": "1", "disponible": true }
The item_id field is a string matching the id of the menu item. The disponible field is a boolean — true means the item is available, false means it is hidden from the ordering interface.
If no document exists in inventario_stock for a given menu item, the app defaults to True (available). The fallback is inventario.get(str(item['id']), True). Toggling an item off creates the document and sets disponible to false.

​
Configuring the connection

The connection is established in app.py using the MONGO_URI environment variable or a hardcoded fallback.

​
Connection string format

mongodb+srv://<user>:<password>@<cluster>/?appName=<app>
The database name is rendon_burger_db and is set directly in the MongoClient call: 
client = MongoClient(MONGO_URI)
db = client['rendon_burger_db']
The current app.py contains a hardcoded MONGO_URI with credentials. Do not commit this string to version control. Use an environment variable instead.
Replace the hardcoded URI with the following pattern: 
import os
from pymongo import MongoClient

MONGO_URI = os.environ.get("MONGO_URI", "mongodb+srv://...")
client = MongoClient(MONGO_URI)
db = client['rendon_burger_db']
Set the environment variable before running the app: 
export MONGO_URI="mongodb+srv://<user>:<password>@<cluster>/?appName=<app>"
python app.py
MongoDB Atlas free tier (M0) is sufficient for a small restaurant deployment. It supports up to 512 MB of storage and handles the low read/write volume typical of a single-location order system.

​
Frequently asked questions

MongoDB creates collections automatically on the first insert. You do not need to create pedidos_activos, historial_ventas, or inventario_stock manually — they appear as soon as the app writes to them.
If no document exists in inventario_stock for a menu item, the app uses inventario.get(str(item['id']), True), which returns True when the key is missing. Items are only hidden after you explicitly toggle them off, which creates the document with "disponible": false.
Each document contains two fields: item_id (a string matching the menu item’s numeric id) and disponible (a boolean). Example: {"item_id": "1", "disponible": true}.

Build docs developers (and LLMs) love

Get started for freeTalk to us