LongStoryDating

A conversation-first dating app that emphasizes expression and intentionality.

Features

• Rich, expressive profiles with up to 3,000 words or 15,000 characters
• Markdown formatting for structure and readability
• Photo and audio introduction support
• Message length requirements that scale with profile depth
• Location-based discovery with configurable radius
• Rate limiting to encourage thoughtful messaging
• Accessibility-first design (WCAG 2.1 compliant)
• Progressive enhancement with HTMX

Eventual features

• Matchmaking with AI based on analysis of profiles for similarity and compatibility between users. Matchmaking will be an external project.

Development

Prerequisites

• Python 3.9+
• Poetry
• PostgreSQL
• Redis

Setup

1. Install dependencies:

   poetry install
   

2. Set up environment variables:

   cp .env.example .env
   # Edit .env with your configuration
   

3. Initialize the database:

   poetry run flask db upgrade
   

4. Run the development server:

   poetry run flask run --debug
   

Testing

Run the test suite:

poetry run pytest

Run with coverage:

poetry run pytest --cov=app --cov-report=html

Code Quality

Format code:

poetry run black app/ tests/

Lint code:

poetry run flake8 app/ tests/

Type checking:

poetry run mypy app/

Architecture

• Backend: Flask with SQLAlchemy and Redis
• Frontend: Jinja2 templates with HTMX for progressive enhancement
• Database: PostgreSQL for primary data, Redis for caching and rate limiting
• Testing: pytest with factory-boy and Playwright for E2E tests

License

GPLv3