Clawd BotandClaude Opus 4.6
ca9b510922
- Reset master to upstream/main (16,697 commits) - Overlay 2,271 local-only files (skills, tools, workspace, configs, apps) - Restore IDENTITY.md and USER.md templates - Build verified, gateway running, Discord working Co-Authored-By: Claude Opus 4.6 <[email protected]>
93 lines
3.1 KiB
Bash
93 lines
3.1 KiB
Bash
#!/usr/bin/env bash
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# Jarvis Predictive Alerts
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# Learn patterns and alert before failures
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set -euo pipefail
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METRICS_DIR="/home/alex/clawd/data/metrics"
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PREDICT_LOG="/home/alex/clawd/logs/jarvis-predict.log"
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log() {
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echo "[$(date '+%Y-%m-%d %H:%M:%S')] $*" | tee -a "$PREDICT_LOG"
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}
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# Create directories
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mkdir -p "$METRICS_DIR"
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mkdir -p "$(dirname "$PREDICT_LOG")"
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log "=== PREDICTIVE ANALYSIS STARTED ==="
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# Collect current metrics
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timestamp=$(date '+%s')
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# Disk usage (Pi)
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if pi_disk=$(timeout 5 ssh -o ConnectTimeout=3 192.168.1.24 'df / | tail -1 | awk "{print \$5}"' 2>/dev/null | sed 's/%//'); then
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echo "$timestamp $pi_disk" >> "$METRICS_DIR/pi_disk.dat"
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log "📊 Pi disk: ${pi_disk}%"
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# Predict if disk will hit 90% in next 7 days
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if [ -f "$METRICS_DIR/pi_disk.dat" ]; then
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# Get trend from last 24 hours
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day_ago=$((timestamp - 86400))
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recent_data=$(awk -v cutoff="$day_ago" '$1 > cutoff' "$METRICS_DIR/pi_disk.dat" 2>/dev/null || true)
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if [ -n "$recent_data" ]; then
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# Simple linear regression would go here
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# For MVP: just warn if > 75%
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if [ "$pi_disk" -gt 75 ]; then
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log "⚠️ PREDICTION: Pi disk usage trending high (${pi_disk}%) - may hit 90% soon"
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fi
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fi
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fi
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fi
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# Memory usage (Pi)
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if pi_mem=$(timeout 5 ssh -o ConnectTimeout=3 192.168.1.24 'free -m | grep Mem | awk "{print int(100*\$3/\$2)}"' 2>/dev/null); then
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echo "$timestamp $pi_mem" >> "$METRICS_DIR/pi_mem.dat"
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log "📊 Pi memory: ${pi_mem}%"
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if [ "$pi_mem" -gt 85 ]; then
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log "⚠️ PREDICTION: Pi memory high (${pi_mem}%) - possible OOM soon"
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fi
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fi
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# Gateway response time
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gateway_start=$(date +%s%N)
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if timeout 5 curl -sfk https://192.168.1.220:18789/ >/dev/null 2>&1; then
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gateway_end=$(date +%s%N)
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gateway_ms=$(( (gateway_end - gateway_start) / 1000000 ))
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echo "$timestamp $gateway_ms" >> "$METRICS_DIR/gateway_response.dat"
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log "📊 Gateway response: ${gateway_ms}ms"
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if [ "$gateway_ms" -gt 2000 ]; then
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log "⚠️ PREDICTION: Gateway slow (${gateway_ms}ms) - may crash soon"
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fi
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fi
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# Kanban API response time
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kanban_start=$(date +%s%N)
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if timeout 5 curl -sf http://192.168.1.220:5003/api/tasks?limit=1 >/dev/null 2>&1; then
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kanban_end=$(date +%s%N)
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kanban_ms=$(( (kanban_end - kanban_start) / 1000000 ))
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echo "$timestamp $kanban_ms" >> "$METRICS_DIR/kanban_response.dat"
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log "📊 Kanban response: ${kanban_ms}ms"
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if [ "$kanban_ms" -gt 1000 ]; then
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log "⚠️ PREDICTION: Kanban slow (${kanban_ms}ms) - database may need optimization"
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fi
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fi
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# Check for crash patterns
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if [ -f /var/log/syslog ]; then
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recent_crashes=$(tail -1000 /var/log/syslog 2>/dev/null | grep -c "segfault\|Out of memory\|kernel panic" || echo "0")
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if [ "$recent_crashes" -gt 0 ]; then
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log "⚠️ PATTERN: $recent_crashes crash indicators in syslog - instability detected"
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fi
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fi
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# Cleanup old metrics (keep 30 days)
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find "$METRICS_DIR" -name "*.dat" -type f -mtime +30 -delete 2>/dev/null || true
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log "=== PREDICTIVE ANALYSIS COMPLETE ==="
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