Redesign MTG decklist scraper/site and simplify crawling pipeline
Session from merchantscroll-traces on Hugging Face by vedalken · MIT · condensed by Coders Talk
Improve a GitHub Pages site that scrapes MTGO decklists and stores them in git, fixing a card categorization bug, rebuilding the frontend, and simplifying the crawling/CI pipeline.
- +0Prompt · +0I have a repo that scrapes MTG decklists to git and displays them via GitHub Pages. Is there a better way to do this?
- +0mAgent did · +0mExplored the repo (crawler, saver, frontend) and proposed architectural fixes: fragile scraping via regex/literal_eval, redundant git commits, minification issues.
- +0mPrompt · +0mApply the best possible improvements for a simple yet effective website/library.
- +0mAgent did · +0mFixed card_type stripping bug in minify_tournament_data, added scripts/build_index.py to generate index.json, rewrote index.html/style.css frontend (search, keyboard nav, categorization), updated CI workflow.
- +0mPrompt · +0mThe frontend is fine. How can we manage the crawling sessions?
- +0mAgent did · +0mAnalyzed crawler pain points (per-tournament git push, no retries, dead code paths), asked a scoping question, then created a plan to simplify the crawling pipeline into pure functions plus batch git operations.
- +0mPrompt · +0mImplement the plan as specified; mark todos in_progress; don't stop until all are complete.
- +0mAgent did · +0mRewrote crawler.py as a pure function, deleted dead code (renderer/, constants/repo.py, unused utils), rewrote entrypoint.py for filesystem-based state and a single git push, rewrote tests, and verified all imports and 12 tests pass.
- +1mPrompt · +1mAdd usage examples to the examples/ directory.
- +1mAgent did · +1mCreated four standalone uv-run example scripts (discover_tournaments, crawl_single_tournament, analyze_local_data, export_decklist) and verified they run against local data.
- +1mOutcome · +1mSession ended with a fixed card-categorization bug, a rebuilt frontend, a simplified crawler pipeline (7 source files, down from 10) with 12/12 tests passing, and 4 working example scripts.
I'd start next time by asking directly for the crawling pipeline simplification instead of first exploring the general architecture, since that scoping question and plan review was where the real value came from. Letting the agent explore the repo deeply before proposing changes, and asking me to scope the crawler work before implementing, is what kept the refactor from going off the rails. The bug fix (card_type stripping) and the pure-function crawler rewrite were the parts that actually mattered.