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ceec22a1e3 fix: add python3 shebang to bin/glitch_patterns.py (#681)
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2026-04-15 02:56:53 +00:00
ad751a6de6 docs: add pipeline scheduler README 2026-04-14 22:47:12 +00:00
130fa40f0c feat: add pipeline-scheduler cron job 2026-04-14 22:46:51 +00:00
82f9810081 feat: add nightly-pipeline-scheduler.sh 2026-04-14 22:46:38 +00:00
4 changed files with 443 additions and 0 deletions

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#!/usr/bin/env python3
"""
Glitch pattern definitions for 3D world anomaly detection.

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- name: Nightly Pipeline Scheduler
schedule: '*/30 18-23,0-8 * * *' # Every 30 min, off-peak hours only
tasks:
- name: Check and start pipelines
shell: "bash scripts/nightly-pipeline-scheduler.sh"
env:
PIPELINE_TOKEN_LIMIT: "500000"
PIPELINE_PEAK_START: "9"
PIPELINE_PEAK_END: "18"

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# Nightly Pipeline Scheduler
Auto-starts batch pipelines when inference is available.
## What It Does
1. Checks inference provider health (OpenRouter, Ollama, RunPod)
2. Checks if it's off-peak hours (configurable, default: after 6PM)
3. Checks interactive session load (don't fight with live users)
4. Checks daily token budget (configurable limit)
5. Starts the highest-priority incomplete pipeline
## Pipeline Priority Order
| Priority | Pipeline | Deps | Max Tokens |
|----------|----------|------|------------|
| 1 | playground-factory | none | 100,000 |
| 2 | training-factory | none | 150,000 |
| 3 | knowledge-mine | training-factory running | 80,000 |
| 4 | adversary | knowledge-mine running | 50,000 |
| 5 | codebase-genome | none | 120,000 |
## Usage
```bash
# Normal run (used by cron)
./scripts/nightly-pipeline-scheduler.sh
# Dry run (show what would start)
./scripts/nightly-pipeline-scheduler.sh --dry-run
# Status report
./scripts/nightly-pipeline-scheduler.sh --status
# Force start during peak hours
./scripts/nightly-pipeline-scheduler.sh --force
```
## Configuration
Set via environment variables:
- `PIPELINE_TOKEN_LIMIT`: Daily token budget (default: 500,000)
- `PIPELINE_PEAK_START`: Peak hours start (default: 9)
- `PIPELINE_PEAK_END`: Peak hours end (default: 18)
- `HERMES_HOME`: Hermes home directory (default: ~/.hermes)
## Cron
Runs every 30 minutes. Off-peak only (unless --force).
See `cron/pipeline-scheduler.yml`.

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#!/usr/bin/env bash
# nightly-pipeline-scheduler.sh — Auto-start batch pipelines when inference is available.
#
# Checks provider health, pipeline progress, token budget, and interactive load.
# Starts the highest-priority incomplete pipeline that can run.
#
# Usage:
# ./scripts/nightly-pipeline-scheduler.sh # Normal run
# ./scripts/nightly-pipeline-scheduler.sh --dry-run # Show what would start
# ./scripts/nightly-pipeline-scheduler.sh --status # Pipeline status report
set -euo pipefail
# --- Configuration ---
HERMES_HOME="${HERMES_HOME:-$HOME/.hermes}"
BUDGET_FILE="${HERMES_HOME}/pipeline_budget.json"
STATE_FILE="${HERMES_HOME}/pipeline_state.json"
LOG_FILE="${HERMES_HOME}/logs/pipeline-scheduler.log"
TOKEN_DAILY_LIMIT="${PIPELINE_TOKEN_LIMIT:-500000}"
PEAK_HOURS_START="${PIPELINE_PEAK_START:-9}"
PEAK_HOURS_END="${PIPELINE_PEAK_END:-18}"
# Pipeline definitions (priority order)
# Each pipeline: name, script, max_tokens, dependencies
PIPELINES=(
"playground-factory|scripts/pipeline_playground_factory.sh|100000|none"
"training-factory|scripts/pipeline_training_factory.sh|150000|none"
"knowledge-mine|scripts/pipeline_knowledge_mine.sh|80000|training-factory"
"adversary|scripts/pipeline_adversary.sh|50000|knowledge-mine"
"codebase-genome|scripts/pipeline_codebase_genome.sh|120000|none"
)
# --- Colors ---
RED='\033[0;31m'
GREEN='\033[0;32m'
YELLOW='\033[0;33m'
CYAN='\033[0;36m'
NC='\033[0m'
# --- Helpers ---
now_hour() { date +%-H; }
is_peak_hours() {
local h=$(now_hour)
[[ $h -ge $PEAK_HOURS_START && $h -lt $PEAK_HOURS_END ]]
}
ensure_dirs() {
mkdir -p "$(dirname "$LOG_FILE")" "$(dirname "$BUDGET_FILE")" "$(dirname "$STATE_FILE")"
}
log() { echo "[$(date '+%Y-%m-%d %H:%M:%S')] $*" | tee -a "$LOG_FILE"; }
get_budget_used_today() {
if [[ -f "$BUDGET_FILE" ]]; then
local today=$(date +%Y-%m-%d)
python3 -c "
import json, sys
with open('$BUDGET_FILE') as f:
d = json.load(f)
print(d.get('daily', {}).get('$today', {}).get('tokens_used', 0))
" 2>/dev/null || echo 0
else
echo 0
fi
}
get_budget_remaining() {
local used=$(get_budget_used_today)
echo $((TOKEN_DAILY_LIMIT - used))
}
update_budget() {
local pipeline="$1"
local tokens="$2"
local today=$(date +%Y-%m-%d)
python3 -c "
import json, os
path = '$BUDGET_FILE'
d = {}
if os.path.exists(path):
with open(path) as f:
d = json.load(f)
daily = d.setdefault('daily', {})
day = daily.setdefault('$today', {'tokens_used': 0, 'pipelines': {}})
day['tokens_used'] = day.get('tokens_used', 0) + $tokens
day['pipelines']['$pipeline'] = day['pipelines'].get('$pipeline', 0) + $tokens
with open(path, 'w') as f:
json.dump(d, f, indent=2)
"
}
get_pipeline_state() {
if [[ -f "$STATE_FILE" ]]; then
cat "$STATE_FILE"
else
echo "{}"
fi
}
set_pipeline_state() {
local pipeline="$1"
local state="$2" # running, complete, failed, skipped
python3 -c "
import json, os
path = '$STATE_FILE'
d = {}
if os.path.exists(path):
with open(path) as f:
d = json.load(f)
d['$pipeline'] = {'state': '$state', 'updated': '$(date -Iseconds)'}
with open(path, 'w') as f:
json.dump(d, f, indent=2)
"
}
is_pipeline_complete() {
local pipeline="$1"
python3 -c "
import json, os
path = '$STATE_FILE'
if not os.path.exists(path):
print('false')
else:
with open(path) as f:
d = json.load(f)
state = d.get('$pipeline', {}).get('state', 'not_started')
print('true' if state == 'complete' else 'false')
" 2>/dev/null || echo false
}
is_pipeline_running() {
local pipeline="$1"
python3 -c "
import json, os
path = '$STATE_FILE'
if not os.path.exists(path):
print('false')
else:
with open(path) as f:
d = json.load(f)
state = d.get('$pipeline', {}).get('state', 'not_started')
print('true' if state == 'running' else 'false')
" 2>/dev/null || echo false
}
check_dependency() {
local dep="$1"
if [[ "$dep" == "none" ]]; then
return 0
fi
# For knowledge-mine: training-factory must be running or complete
if [[ "$dep" == "training-factory" ]]; then
local state=$(python3 -c "
import json, os
path = '$STATE_FILE'
if not os.path.exists(path):
print('not_started')
else:
with open(path) as f:
d = json.load(f)
print(d.get('training-factory', {}).get('state', 'not_started'))
" 2>/dev/null || echo "not_started")
[[ "$state" == "running" || "$state" == "complete" ]]
return $?
fi
# For adversary: knowledge-mine must be at least 50% done
# Simplified: check if it's running (we'd need progress tracking for 50%)
if [[ "$dep" == "knowledge-mine" ]]; then
local state=$(python3 -c "
import json, os
path = '$STATE_FILE'
if not os.path.exists(path):
print('not_started')
else:
with open(path) as f:
d = json.load(f)
print(d.get('knowledge-mine', {}).get('state', 'not_started'))
" 2>/dev/null || echo "not_started")
[[ "$state" == "running" || "$state" == "complete" ]]
return $?
fi
return 0
}
check_inference_available() {
# Check if any inference provider is responding
# 1. Check OpenRouter
local or_ok=$(curl -s -o /dev/null -w "%{http_code}" \
--connect-timeout 5 "https://openrouter.ai/api/v1/models" 2>/dev/null || echo "000")
# 2. Check local Ollama
local ollama_ok=$(curl -s -o /dev/null -w "%{http_code}" \
--connect-timeout 5 "http://localhost:11434/api/tags" 2>/dev/null || echo "000")
# 3. Check RunPod (if configured)
local runpod_ok="000"
if [[ -n "${RUNPOD_ENDPOINT:-}" ]]; then
runpod_ok=$(curl -s -o /dev/null -w "%{http_code}" \
--connect-timeout 5 "$RUNPOD_ENDPOINT/health" 2>/dev/null || echo "000")
fi
if [[ "$or_ok" == "200" || "$ollama_ok" == "200" || "$runpod_ok" == "200" ]]; then
return 0
fi
return 1
}
check_interactive_load() {
# Check if there are active interactive sessions (don't fight with live users)
# Look for tmux panes with active hermes sessions
local active=$(tmux list-panes -a -F '#{pane_pid} #{pane_current_command}' 2>/dev/null \
| grep -c "hermes\|python3" || echo 0)
# If more than 3 interactive sessions, skip pipeline start
if [[ $active -gt 3 ]]; then
return 1
fi
return 0
}
start_pipeline() {
local name="$1"
local script="$2"
local max_tokens="$3"
local budget_remaining="$4"
local mode="${5:-run}"
if [[ "$budget_remaining" -lt "$max_tokens" ]]; then
log "SKIP $name: insufficient budget ($budget_remaining < $max_tokens tokens)"
return 1
fi
if [[ ! -f "$script" ]]; then
log "SKIP $name: script not found ($script)"
return 1
fi
if [[ "$mode" == "dry-run" ]]; then
log "DRY-RUN: Would start $name (budget: $budget_remaining, needs: $max_tokens)"
return 0
fi
log "START $name (budget: $budget_remaining, max_tokens: $max_tokens)"
set_pipeline_state "$name" "running"
# Run in background, capture output
local log_path="${HERMES_HOME}/logs/pipeline-${name}.log"
bash "$script" --max-tokens "$max_tokens" >> "$log_path" 2>&1 &
local pid=$!
# Wait a moment to check if it started OK
sleep 2
if kill -0 $pid 2>/dev/null; then
log "RUNNING $name (PID: $pid, log: $log_path)"
# Record the PID
python3 -c "
import json, os
path = '$STATE_FILE'
d = {}
if os.path.exists(path):
with open(path) as f:
d = json.load(f)
d['$name']['pid'] = $pid
with open(path, 'w') as f:
json.dump(d, f, indent=2)
"
return 0
else
log "FAIL $name: script exited immediately"
set_pipeline_state "$name" "failed"
return 1
fi
}
# --- Main ---
main() {
local mode="${1:-run}"
ensure_dirs
log "=== Pipeline Scheduler ($mode) ==="
# Check 1: Is inference available?
if ! check_inference_available; then
log "No inference provider available. Skipping all pipelines."
exit 0
fi
log "Inference: AVAILABLE"
# Check 2: Is it peak hours?
if is_peak_hours && [[ "$mode" != "--force" ]]; then
local h=$(now_hour)
log "Peak hours ($h:00). Skipping pipeline start. Use --force to override."
exit 0
fi
log "Off-peak: OK"
# Check 3: Interactive load
if ! check_interactive_load && [[ "$mode" != "--force" ]]; then
log "High interactive load. Skipping pipeline start."
exit 0
fi
log "Interactive load: OK"
# Check 4: Token budget
local budget=$(get_budget_remaining)
log "Token budget remaining: $budget / $TOKEN_DAILY_LIMIT"
if [[ $budget -le 0 ]]; then
log "Daily token budget exhausted. Stopping."
exit 0
fi
# Check 5: Pipeline status
if [[ "$mode" == "--status" ]]; then
echo -e "${CYAN}Pipeline Status:${NC}"
echo "────────────────────────────────────────────────────"
for entry in "${PIPELINES[@]}"; do
IFS='|' read -r name script max_tokens dep <<< "$entry"
local state=$(python3 -c "
import json, os
path = '$STATE_FILE'
if not os.path.exists(path):
print('not_started')
else:
with open(path) as f:
d = json.load(f)
print(d.get('$name', {}).get('state', 'not_started'))
" 2>/dev/null || echo "not_started")
local color=$NC
case "$state" in
running) color=$YELLOW ;;
complete) color=$GREEN ;;
failed) color=$RED ;;
esac
printf " %-25s %b%s%b (max: %s tokens, dep: %s)\n" "$name" "$color" "$state" "$NC" "$max_tokens" "$dep"
done
echo "────────────────────────────────────────────────────"
echo " Budget: $budget / $TOKEN_DAILY_LIMIT tokens remaining"
echo " Peak hours: $PEAK_HOURS_START:00 - $PEAK_HOURS_END:00"
exit 0
fi
# Find and start the highest-priority incomplete pipeline
local started=0
for entry in "${PIPELINES[@]}"; do
IFS='|' read -r name script max_tokens dep <<< "$entry"
# Skip if already running or complete
if [[ "$(is_pipeline_running $name)" == "true" ]]; then
log "SKIP $name: already running"
continue
fi
if [[ "$(is_pipeline_complete $name)" == "true" ]]; then
log "SKIP $name: already complete"
continue
fi
# Check dependency
if ! check_dependency "$dep"; then
log "SKIP $name: dependency $dep not met"
continue
fi
# Try to start
if start_pipeline "$name" "$script" "$max_tokens" "$budget" "$mode"; then
started=1
# Only start one pipeline per run (let it claim tokens before next check)
# Exception: playground-factory and training-factory can run in parallel
if [[ "$name" != "playground-factory" && "$name" != "training-factory" ]]; then
break
fi
fi
done
if [[ $started -eq 0 ]]; then
log "No pipelines to start (all complete, running, or blocked)."
fi
log "=== Pipeline Scheduler done ==="
}
main "$@"