#!/bin/bash

# Extract assistant turns from session file
session_file="$1"

# Create temporary files for user/assistant pairs
temp_pairs=$(mktemp)

# Extract messages with user and assistant roles
jq -r 'select(.type=="message") | select(.message.role=="user" or .message.role=="assistant") | [.message.role, (.message.content // [] | map(select(.type=="text") | .text) | join(" "))] | @tsv' "$session_file" > "$temp_pairs"

# Process pairs and send to auto-memory-hook
user_msg=""
count=0
while IFS=$'\t' read -r role content; do
    if [ "$role" = "user" ]; then
        user_msg="$content"
    elif [ "$role" = "assistant" ] && [ -n "$user_msg" ]; then
        # Create JSON for auto-memory-hook and send it
        json_data=$(jq -n --arg user "$user_msg" --arg assistant "$content" \
                      --arg agent_id "case" --arg session "main" \
                      '{user: $user, assistant: $assistant, agent_id: $agent_id, session: $session}')
        
        echo "$json_data" | python3 /home/wdjones/.openclaw/workspace/tools/auto-memory-hook.py
        
        ((count++))
        if [ $count -ge 10 ]; then
            break
        fi
        
        user_msg=""  # Reset for next pair
    fi
done < "$temp_pairs"

rm "$temp_pairs"
echo "Auto-memory indexing completed - processed $count turns"