Sans: Important commands for Set up the Environment in VSCode

Important commands for Set up the Environment in VSCode

1.open vscode create new folder

2.open new terminal

3.create virtual enviroment

python3 -m venv <name of venv>

<name of venv > =you can give any name

Pip install Virtualenv

virtualenv <virtualenv -name>

6.Activate VirtualEnvironment

venv/scripts/activate

5.Install requirements

pip install -r requirment.txt

7.Run the Flask application

python3 app.py (or) main.py

8.Check sum Dir commands before viva

pip install checksumdir

import checksumdir

hash = checksumdir.dirhash("folder_name")

print(hash)

9.For MAD2 project

MailHog

https://github.com/mailhog/MailHog

sudo apt-get -y install golang-go

go install github.com/mailhog/MailHog@latest

10.Celery

celery -A app:celery_app worker -l INFO

Running Celery in Two Terminals (WSL + VENV)

Terminal 1 – Celery Worker

celery -A app:celery_app worker -l INFO

1.celery: starts Celery

2.-A app:celery_app:

app is the Python file or package where your Flask app lives
celery_app is the Celery instance inside that file

3.worker: starts the worker, which runs the background tasks

4.-l INFO: sets log level to INFO so you can see what's happening

Terminal 2 – Celery Beat (Scheduler)

celery -A app:celery_app beat -l INFO

beat: runs the scheduler that triggers tasks on a schedule (e.g., every hour, daily, etc.)

celery_app.config_from_object(app.config["CELERY"])

In your Flask app, you probably have some Celery config like this:

app.config["CELERY"] = {

"broker_url": "redis://localhost:6379/0",

"result_backend": "redis://localhost:6379/0",

"task_serializer": "json",

"timezone": "UTC"

}

celery_app = Celery(__name__)

celery_app.config_from_object(app.config["CELERY"]

Tells Celery to load configuration from your Flask app’s config

app.config["CELERY"] is a dictionary of settings (like broker URL, result backend, etc.)

INFO-links:

https://docs.celeryq.dev/en/stable/userguide/periodic-tasks.html

celery_app.config_from_object(app.config["CELERY"])

12.Design links to create random images for profile using this

https://www.figma.com/design/8gofrho5qM79pdqMSLGk71/Untitled-(1)?node-id=0-1&t=xthanTKKkvRNE4TT-0

MAD2

Redis server- (WSL)

Frontend -(CMD)

Backend -(WSL) (VENV)

MailHog -(WSL)

MAD1-TechStack

Python – The core programming language used to build the backend logic of the application.
Flask – A lightweight web framework in Python used to create web routes, handle user requests, and manage the server-side of the application.
HTML – Used to structure the content of web pages, forming the base layout of the frontend.
Bootstrap – A frontend CSS framework used to style HTML components, make the layout responsive, and provide a clean user interface.
Flask-RESTful==0.3.9 – An extension for Flask that helps build RESTful APIs quickly and cleanly, making it easy to interact with external clients or services.
Flask-SQLAlchemy==3.0.2 – A Flask extension that integrates SQLAlchemy with Flask, allowing easy interaction with the SQLite database through Python objects.
Jinja2==3.1.2 – The templating engine used by Flask to inject dynamic content (like user data or campaign info) into HTML pages.
SQLAlchemy==1.4.45 – The Object Relational Mapper (ORM) used to define models and manage database operations using Python code instead of raw SQL.
Werkzeug==2.2.2 – A WSGI utility library used internally by Flask, and also helps in securely handling things like password hashing and file uploads.