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  • Adds robust product categorization logic
  • Adds product distro data scraper for product data and additional metadata such as product configurations/descriptions.

Introduces rule-based and fuzzy categorization for product names and item numbers, enhancing accuracy and flexibility when classifying products.
Supports confidence scoring and uses item number hints to improve reliability in ambiguous cases.
Enables extensible training for future product data.
product data and additional metadata such as product configurations/descriptions.

Automatically generates structured JSON and YAML files for downstream use.
@kodawah kodawah self-assigned this Nov 14, 2025
Introduces an automated process for reading review data,
categorizing products with confidence levels, and outputting
updated results. Improves efficiency and consistency in
product review handling.
@the-muppet
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process_review.py just tackles data/review.yaml if thats easier for the time being

Introduces caching for Scryfall data to reduce API calls
Implements name normalization and fuzzy grouping for sets
Uses dataclasses for better data modelin.
Adds logging for debugging and monitoring
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2 participants