Browse

python-dotenv .cursorrules prompt files

Python-dotenv is a package that loads environment variables from a .env file into Python applications, helping to manage configuration settings easily and securely.

Filters

All

React

Tailwind CSS

Filters

Tech

Clear

React

Tailwind CSS

Node.js

Tailwind

JavaScript

Shadcn UI

Next.js

Radix UI

Python

WebP

Zod

JSX

Vite

CSS

Supabase

HTML

Jest

Next.js App Router

PostgreSQL

Docker

Redis

Pydantic

Tailwind Aria

TailwindCSS

FastAPI

Git

ESLint

pytest

react-hook-form

Solidity

Vercel

JSDoc

GitHub Actions

Typescript

Prettier

Suspense

Vitest

ARIA

Zustand

React Testing Library

Celery

Radix

Shadcn

SQLAlchemy

PHP

SvelteKit

JSON

Vue.js

Pinia

MongoDB

tRPC

Clerk

Expo

PEP 8

SSR

Prisma

dotenv

GitLab CI

SQLite

SQL

Playwright

tanStackQuery

DaisyUI

Laravel

RESTful API

Drizzle ORM

VueUse

Express

asyncpg

TypeScript

scikit-learn

pandas

GitHub

RabbitMQ

Rust

Java

GraphQL

Svelte

Elixir

ES6

Nuxt 3

styled-components

Vue Router

Astro

Svelte 5

Markdown

OpenZeppelin

Drizzle

Stripe

Flexbox

CORS

Lighthouse

JWT

Swagger

aiomysql

Ruff

Langchain

Django

matplotlib

Clear

Web Development

Frontend Development

Code Style

Programming

Naming Conventions

Testing

State Management

Backend Development

Code Optimization

Software Engineering

Accessibility

Programming Best Practices

Responsive Design

Code Structure

Version Control

Database Management

UI Design

API Development

Code Quality

TypeScript Best Practices

Authentication

TypeScript

Security

Syntax and Formatting

JavaScript

Best Practices

Data Fetching

Internationalization

Coding Best Practices

React

performance optimization

Performance Optimization

Software Development

Coding Standards

API Integration

Object-Oriented Programming

Code Review

Testing and Debugging

Image Optimization

SEO

Game Development

Code Readability

Deployment

Clean Code

User Interface

JavaScript Frameworks

UI Components

UI and Styling

Declarative Programming

Code Modularity

Security Best Practices

Web Application Development

Error Handling

UI Development

JavaScript Libraries

Design Patterns

TypeScript Guidelines

Server-Side Rendering

TypeScript Usage

Programming Guidelines

Modularization

Code Documentation

error handling

functional programming

Coding Style

Scalability

Form Validation

SEO Optimization

Smart Contracts

Dependency Injection

Test-Driven Development

Static Site Generation

Routing

File Organization

Code Organization

Coding Guidelines

Testing and Quality Assurance

Technical Writing

API Design

Node.js

Full Stack Development

Python development

CI/CD

UI/UX design

Functional Programming

Documentation

Python

Validation

Performance

Code Formatting

Python programming

Code Maintainability

Build and Deployment

Decentralized Applications

Artificial Intelligence

Project Management

Web Vitals

Server Components

Blockchain

Coding Practices

Show

5

rules

Thank you! Your submission has been received!

Oops! Something went wrong while submitting the form.

NEW

Python Flask JSON Guide .cursorrules prompt file

This project is heavily reliant on our custom Drawscape Factorio python module.

Here is code examples of how to use the module:

```
from drawscape_factorio import create as createFactorio
from drawscape_factorio import importFUE5

Load the JSON file coming from the FUE5 MOD

with open('/path/to/exported-entities.json, 'r') as file:
json_data = json.load(file)

Parse the JSON data

data = importFUE5(json_data)

Call the create function with the parsed data and settings

result = createFactorio(data, {
'theme_name': 'default',
'color_scheme': 'main',
'show_layers': ['assets', 'belts', 'walls', 'rails', 'electrical', 'spaceship']
})

Save the SVG file

with open(output_file_name, 'w') as f:
f.write(result['svg_string'])
````

Here is my environment.yml that I'm running the project in

name: drawscape_api
channels:

conda-forge
dependencies:
python=3.12
pip
flask
flask-cors
svgwrite
numpy
python-dotenv
- drawscape-factorio
gunicorn
boto3
pip:
- flask[async]

stack:

Python Flask JSON Guide .cursorrules prompt file

Drawscape

0

NEW

Python GitHub Setup .cursorrules prompt file

{
"general": {
"coding_style": {
"language": "Python",
"use_strict": true,
"indentation": "4 spaces",
"max_line_length": 120,
"comments": {
"style": "# for single-line, ''' for multi-line",
"require_comments": true
}
},
"naming_conventions": {
"variables": "snake_case",
"functions": "snake_case",
"classes": "PascalCase",
"interfaces": "PascalCase",
"files": "snake_case"
},
"error_handling": {
"prefer_try_catch": true,
"log_errors": true},
"testing": {
"require_tests": true,
"test_coverage": "80%",
"test_types": ["unit", "integration"]
},
"documentation": {
"require_docs": true,
"doc_tool": "docstrings",
"style_guide": "Google Python Style Guide"
},
"security": {
"require_https": true,
"sanitize_inputs": true,
"validate_inputs": true,
"use_env_vars": true
},
"configuration_management": {
"config_files": [".env"],
"env_management": "python-dotenv",
"secrets_management": "environment variables"
},
"code_review": {
"require_reviews": true,
"review_tool": "GitHub Pull Requests",
"review_criteria": ["functionality", "code quality", "security"]
},
"version_control": {
"system": "Git",
"branching_strategy": "GitHub Flow",
"commit_message_format": "Conventional Commits"
},
"logging": {
  "logging_tool": "Python logging module",
  "log_levels": ["debug", "info", "warn", "error"],
  "log_retention_policy": "7 days"
  },
  "monitoring": {
  "monitoring_tool": "Not specified",
  "metrics": ["file processing time", "classification accuracy", "error rate"]
  },
  "dependency_management": {
  "package_manager": "pip",
  "versioning_strategy": "Semantic Versioning"
  },
  "accessibility": {
  "standards": ["Not applicable"],
  "testing_tools": ["Not applicable"]
  },
  "internationalization": {
  "i18n_tool": "Not applicable",
  "supported_languages": ["English"],
  "default_language": "English"
  },
  "ci_cd": {
  "ci_tool": "GitHub Actions",
  "cd_tool": "Not specified",
  "pipeline_configuration": ".github/workflows/main.yml"
  },
  "code_formatting": {
  "formatter": "Black",
  "linting_tool": "Pylint",
  "rules": ["PEP 8", "project-specific rules"]
  },
  "architecture": {
    "patterns": ["Modular design"],
    "principles": ["Single Responsibility", "DRY"]
    }
    },
    "project_specific": {
    "use_framework": "None",
    "styling": "Not applicable",
    "testing_framework": "pytest",
    "build_tool": "setuptools",
    "deployment": {
    "environment": "Local machine",
    "automation": "Not specified",
    "strategy": "Manual deployment"
    },
    "performance": {
    "benchmarking_tool": "Not specified",
    "performance_goals": {
    "response_time": "< 5 seconds per file",
    "throughput": "Not specified",
    "error_rate": "< 1%"
    }
    }
    },
    "context": {
      "codebase_overview": "Python-based file organization tool using AI for content analysis and classification",
      "libraries": ["watchdog", "spacy", "PyPDF2", "python-docx", "pandas", "beautifulsoup4", "transformers", "scikit-learn", "joblib", "python-dotenv", "torch", "pytest", "shutil", "logging", "pytest-mock"],
      "coding_practices": {
      "modularity": true,
      "DRY_principle": true,
      "performance_optimization": true
      }
      },
      "behavior": {
      "verbosity": {
      "level": 2,
      "range": [0, 3]
      },
      "handle_incomplete_tasks": "Provide partial solution and explain limitations",
      "ask_for_clarification": true,
      "communication_tone": "Professional and concise"
      }
      }