📱Social Media App Backend

A modern backend for a social media platform, built with Python & Flask. Features post creation, interaction, and AI-powered sentiment analysis.

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🗂️ Features

• Create, read, update, and delete posts & comments
• Sentiment analysis for user content (AI-powered)
• PostgreSQL database integration (via Docker)
• Unit & integration tests
• Test coverage reporting

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⚡ Quickstart

1️⃣ Set Up Virtual Environment

# Python 3.10 required
python3.10 -m venv .venv

# Activate:
# On MacOS/Linux:
source .venv/bin/activate
# On Windows:
.venv\Scripts\activate

2️⃣ Start PostgreSQL with Docker

# Start Docker container (from project root)
docker-compose up -d

# Check container is running
docker ps

# Connect to DB
docker exec -it my_postgres psql -U admin -d socialmediadb

(Optional) Test DB Connection

CREATE TABLE test ();
\dt

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3️⃣ Install Dependencies

pip install -r requirements.txt

4️⃣ Run the Flask App

flask run

Test endpoints using Postman or similar tools.

5️⃣ Run Tests & Coverage

# Run a specific test class
python -m unittest tests.integration_tests.test_posts.PostDatabaseIntegrationTestCase

# Run all tests & check coverage
coverage run -m unittest discover
coverage report
coverage html  # Generates htmlcov/index.html

To clean up coverage data:

coverage erase

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📁 Project Structure

SocialMedia-App/
├── app.py
├── config.py
├── docker-compose.yml
├── requirements.txt
├── controllers/
├── models/
├── routes/
├── services/
└── tests/

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🛠️ Tech Stack

• Python 3.10
• Flask
• PostgreSQL (Docker)
• Unittest & Coverage

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