#!/bin/bash
# Dev Intel V2 — Ralph Wiggum Loop (Confluence Benchmark)
# Run pipeline → eval → check threshold → iterate

set -euo pipefail

MAX_ITERATIONS=${1:-3}
THRESHOLD=${2:-77} # Target is Confluence baseline score (77.8%)
REPO_ROOT="${3:-/home/node/.openclaw/workspace/agents/max/foxtrot/}"
CONFLUENCE_DIR="${4:-/home/node/.openclaw/workspace/agents/max/foxtrot/docs/confluence}"
SNAPSHOT="./snapshots/foxtrot-clean.json"
OUT_DIR="./foxtrot-docs"
SCRIPT_DIR="$(cd "$(dirname "$0")" && pwd)"
QUESTIONS="$SCRIPT_DIR/eval-generated-questions.json"

export PATH="/home/node/.local/bin:$PATH"

echo "🔁 Ralph Wiggum Loop (V2) — max $MAX_ITERATIONS iterations, target $THRESHOLD%"
echo "Benchmark: Generated Questions ($QUESTIONS)"
echo ""

for i in $(seq 1 $MAX_ITERATIONS); do
  echo "=== Iteration $i/$MAX_ITERATIONS ==="

  # 1. Generate Docs
  echo "📝 Running V2 pipeline..."
  LLM_MODEL="claude-haiku-4.5" node "$SCRIPT_DIR/sysdoc.js" "$SNAPSHOT" "$REPO_ROOT" "$OUT_DIR" --prose 2>&1 | tail -n 25

  # 1.5 Generate Questions for Eval
  echo "🤖 Generating ground truth questions for eval..."
  node "$SCRIPT_DIR/eval-generator.js" "$SNAPSHOT" "$REPO_ROOT" "$QUESTIONS"

  # 2. Evaluate
  echo "📊 Running agent file-browsing eval against generated questions..."
  EVAL_OUT="$SCRIPT_DIR/eval-wiggum-v2-iter-$i.json"
  
  # Run the eval (haiku for speed)
  LLM_MODEL="claude-haiku-4.5" node "$SCRIPT_DIR/eval-agent.js" "$OUT_DIR" "$QUESTIONS" "$EVAL_OUT"

  # 3. Check score
  if [ -f "$EVAL_OUT" ]; then
    SCORE=$(node -e "
      const r = require('$EVAL_OUT');
      console.log(Math.round(r.overallScore || 0));
    " 2>/dev/null || echo "0")
  else
    SCORE=0
  fi

  echo ""
  echo "🏁 Iteration $i Score: ${SCORE}% (Target: ${THRESHOLD}%)"

  if [ "$SCORE" -ge "$THRESHOLD" ]; then
    echo "✅ Target met or exceeded baseline! Exiting loop."
    exit 0
  fi

  echo "❌ Below threshold. To iterate, we need a diagnosis and code fix step here."
  break
done