Competitive Programming Problem Setup Tool

This repository contains a Python script, create_problem.py, that automates creating a folder and a starter code file for competitive programming problems from multiple sources:

1. LeetCode (via alfaarghya/alfa-leetcode-api)
2. Codeforces (via official API + HTML scraping for the full statement)
3. VJudge (HTML scraping for problem statements)
4. Custom (no external data, just create a folder and skeleton)

It supports C++, C, Python, and Java skeletons in either Minimal or Extended format.

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Features

1. LeetCode

   • Automatically fetches the problem title, difficulty, and content via alfaarghya/alfa-leetcode-api.
   • Important: The alfaarghya/alfa-leetcode-api code is Node.js/TypeScript and does not install as a Python library. You must either run its Node server and query it via HTTP or replicate the logic in Python.
   • If your LeetCode session cookie is invalid or not set up, the script prompts you gracefully, so it won’t crash.

2. Codeforces

   • Fetches metadata (title, tags) from the official Codeforces API.
   • Scrapes the actual problem statement HTML from https://codeforces.com/contest/<contestId>/problem/<index> to include in your file comments.

3. VJudge

   • Scrapes the problem statement from https://vjudge.net/problem/<OJ>-<ProblemID> (e.g., https://vjudge.net/problem/LightOJ-1000).
   • If any authentication is required, the script attempts to retrieve the public portion, or it will fallback gracefully.

4. Custom

   • No external calls; simply creates a folder with your chosen name.

5. Multiple Languages

   • C++, C, Python, Java
   • Additional skeleton logic for “Minimal” (bare-bones main()) or “Extended” (class or function-based approach).

6. Automated Folder Creation

   • Creates a folder named according to the problem source and ID, e.g., leetcode_p13, codeforces_p4A, vjudge_problem_lightoj1000, or your custom name.

7. Configurable Skeleton

   • Extended skeleton can prompt for class/struct/function details.
   • The script writes comments at the top of the file containing problem metadata or statement snippet.

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Installation

(Optional but Recommended) Create and Activate a Python Virtual Environment

This helps avoid system-level Python issues (especially on Debian/Ubuntu with PEP 668).

python3 -m venv env
source env/bin/activate
pip install -r requirements.txt