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