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https://github.com/prosolis/gogobee.git
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c7c1b76589
Adventure: Complete v1 daily idle RPG with DM-driven gameplay, equipment shop, treasure system, TwinBee NPC, streak/grudge/party mechanics, flavor text, and scheduled morning/evening/midnight tickers. Holdem CFR: Fix three critical training bugs (fold not forfeiting pot, free calls after raises, training/runtime key mismatch). Add performance optimizations (preflop lookup table, zero-alloc equity, integer keys, raise cap, regret pruning). Enrich abstraction with 12 equity buckets, board texture dimension, and 6-char action history. Replace validation with proper multi-street simulation. Also includes wordle plugin, holdem seed tooling, and schema additions. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
35 lines
1.3 KiB
Bash
Executable File
35 lines
1.3 KiB
Bash
Executable File
#!/usr/bin/env bash
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# Backfill room_sentiment_stats from existing llm_classifications data.
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# Run once after deploying the room_sentiment_stats schema change.
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#
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# Usage: ./scripts/backfill_room_sentiment.sh [path/to/gogobee.db]
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set -euo pipefail
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DB="${1:-data/gogobee.db}"
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if [ ! -f "$DB" ]; then
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echo "Database not found: $DB"
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exit 1
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fi
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sqlite3 "$DB" <<'SQL'
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INSERT INTO room_sentiment_stats (room_id, positive, negative, neutral, excited, sarcastic, frustrated, curious, grateful, humorous, supportive, total_score)
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SELECT room_id,
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SUM(CASE WHEN sentiment = 'positive' THEN 1 ELSE 0 END),
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SUM(CASE WHEN sentiment = 'negative' THEN 1 ELSE 0 END),
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SUM(CASE WHEN sentiment = 'neutral' THEN 1 ELSE 0 END),
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SUM(CASE WHEN sentiment = 'excited' THEN 1 ELSE 0 END),
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SUM(CASE WHEN sentiment = 'sarcastic' THEN 1 ELSE 0 END),
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SUM(CASE WHEN sentiment = 'frustrated' THEN 1 ELSE 0 END),
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SUM(CASE WHEN sentiment = 'curious' THEN 1 ELSE 0 END),
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SUM(CASE WHEN sentiment = 'grateful' THEN 1 ELSE 0 END),
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SUM(CASE WHEN sentiment = 'humorous' THEN 1 ELSE 0 END),
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SUM(CASE WHEN sentiment = 'supportive' THEN 1 ELSE 0 END),
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SUM(sentiment_score)
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FROM llm_classifications
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GROUP BY room_id;
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SQL
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echo "Done. Backfilled room_sentiment_stats from llm_classifications."
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