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#!/bin/bash
# Elizabeth Training Keep-Alive Script
# Provides periodic input to keep training sessions active
echo "=== Elizabeth Training Keep-Alive ==="
echo "Started: $(date)"
# Training prompts to keep session active
TRAINING_PROMPTS=(
"Please continue your training and analysis"
"Share your latest insights and learning progress"
"What have you discovered in your recent training?"
"Continue with your autonomous learning cycle"
"Provide a status update on your training progress"
"What patterns are you identifying in your learning?"
"Continue your analysis and share key findings"
)
# Find active Elizabeth training process
find_elizabeth_pid() {
ps aux | grep "python3.*elizabeth_main.py.*interactive" | grep -v grep | awk '{print $2}' | head -1
}
# Send input to process
send_training_prompt() {
local pid=$1
local prompt=$2
# Check if process exists and is interactive
if [ -n "$pid" ] && [ -e "/proc/$pid/fd/0" ]; then
echo "Sending training prompt to PID $pid: $prompt"
echo "$prompt" > /proc/$pid/fd/0
return 0
else
echo "No active interactive training process found"
return 1
fi
}
# Main keep-alive loop
COUNTER=0
MAX_ITERATIONS=100
SLEEP_DURATION=300 # 5 minutes
while [ $COUNTER -lt $MAX_ITERATIONS ]; do
echo ""
echo "[$(date)] Keep-alive iteration $((COUNTER + 1))/$MAX_ITERATIONS"
# Find active training process
TRAINING_PID=$(find_elizabeth_pid)
if [ -n "$TRAINING_PID" ]; then
echo "Found training process: PID $TRAINING_PID"
# Select random prompt
PROMPT_INDEX=$((RANDOM % ${#TRAINING_PROMPTS[@]}))
SELECTED_PROMPT="${TRAINING_PROMPTS[$PROMPT_INDEX]}"
# Send keep-alive prompt
if send_training_prompt "$TRAINING_PID" "$SELECTED_PROMPT"; then
echo "Keep-alive prompt sent successfully"
else
echo "Failed to send keep-alive prompt"
fi
else
echo "No active training process found - checking for restart..."
# Check if training manager is running
if ! ps aux | grep -q "training_manager.py" | grep -v grep; then
echo "Training manager not running, attempting to restart..."
cd /workspace/elizabeth-repo
nohup python3 scripts/training_manager.py --start --mode interactive > /workspace/elizabeth_logs/training_manager.log 2>&1 &
echo "Training manager restarted"
fi
fi
# Wait before next iteration
echo "Sleeping for $SLEEP_DURATION seconds..."
sleep $SLEEP_DURATION
COUNTER=$((COUNTER + 1))
done
echo ""
echo "=== Keep-Alive Completed ==="
echo "Finished: $(date)"
echo "Total iterations: $COUNTER" |