#!/bin/bash
# Daily AI Newsletter Digest - Enhanced with LLM Summarization
# Creates properly formatted digests with AI-powered summarization

SCRIPT_DIR="/home/openclaw/.openclaw/workspace/skills/imap-smtp-email"
CHECK_SCRIPT="$SCRIPT_DIR/scripts/check-anthonymau-email.js"
DIGEST_DIR="/home/openclaw/.openclaw/workspace/automations/ai-newsletter-digest"

echo "🤖 Daily AI Newsletter Digest (Enhanced)" >&2
echo "$(date)" >&2

cd "$SCRIPT_DIR"

echo "🔍 Checking for AI newsletters..." >&2

RESULT=$(NODE_TLS_REJECT_UNAUTHORIZED=0 timeout 60 node "$CHECK_SCRIPT" 2>&1)

AI_COUNT=$(echo "$RESULT" | grep "^AI_COUNT:" | cut -d: -f2)

if [ -z "$AI_COUNT" ] || [ "$AI_COUNT" = "0" ]; then
  echo "No AI newsletters found" >&2
  echo "🤖 No AI newsletters today. Check back tomorrow!"
  exit 0
fi

echo "Found $AI_COUNT newsletters" >&2

# Write result to temp file for Python parsing
TMPFILE=$(mktemp)
echo "$RESULT" > "$TMPFILE"

# Parse AI_EMAIL / AI_CONTENT pairs with improved content extraction
PARSED=$(python3 "$DIGEST_DIR/parse-emails.py" "$TMPFILE")

echo "🧠 Generating LLM-powered summary..." >&2

# Use LLM to summarize (or fallback to basic formatting)
echo "$PARSED" | python3 "$DIGEST_DIR/summarize.py"

rm -f "$TMPFILE"