README.md

metadata

title: Arca Processor
emoji: 🔄
colorFrom: blue
colorTo: indigo
sdk: docker
app_file: app.py
pinned: false

Arca Processor

Pre-computed champion stats generator for ArcaThread.

Purpose

This space processes matchup-matrix parquet files from arca-thread-priors dataset and generates lightweight JSON files per champion.

Output Structure

champ-stats/{patch}/{championId}.json
champ-stats/{patch}/tier-list.json
champ-stats/{patch}/meta.json

Schedule

Runs hourly to detect new patches and update stats.

Environment Variables

• HF_TOKEN - HuggingFace API token
• DATASET_REPO - Source dataset (default: ArcaThread/arca-thread-priors)
• PROCESS_INTERVAL_SECONDS - Processing interval in seconds (default: 3600, min 60)
• MIN_SAMPLE_SIZE - Minimum sample size for champion aggregation (default: 100)
• DATASET_FILE_CACHE_SECONDS - TTL for cached list_repo_files index (default: 300, min 30)
• TIER_MIN_GAMES - Minimum games for tier-list eligibility (default: 500)
• TIER_CALIBRATION_MODE - quantile (default) or static
• TIER_STATIC_S_MIN_WR, TIER_STATIC_A_MIN_WR, TIER_STATIC_B_MIN_WR, TIER_STATIC_C_MIN_WR
  • Used only when TIER_CALIBRATION_MODE=static