111 lines
3.0 KiB
Bash
Executable File
111 lines
3.0 KiB
Bash
Executable File
#!/bin/bash
|
|
# 混合学习循环 - hybrid-learning-cycle.sh
|
|
# 根据配额使用率自动控制学习节奏
|
|
# 每5小时一个周期，根据周期内不同时间的阈值执行学习
|
|
|
|
set -e
|
|
|
|
LOG_FILE="/root/.openclaw/logs/hybrid-learning.log"
|
|
API_URL="http://192.168.0.66:9527/api/quota"
|
|
|
|
# 阈值配置（周期内小时数 -> 阈值）
|
|
declare -A THRESHOLDS
|
|
THRESHOLDS[1]=15
|
|
THRESHOLDS[2]=30
|
|
THRESHOLDS[3]=45
|
|
THRESHOLDS[4]=60
|
|
|
|
log() {
|
|
echo "[$(date '+%Y-%m-%d %H:%M:%S')] $1" | tee -a "$LOG_FILE"
|
|
}
|
|
|
|
# 获取配额使用率
|
|
get_quota_usage() {
|
|
local response
|
|
response=$(curl -s --max-time 5 "$API_URL" 2>/dev/null)
|
|
if [ $? -eq 0 ] && [ -n "$response" ]; then
|
|
echo "$response" | python3 -c "import json,sys; d=json.load(sys.stdin); print(d.get('usage',d.get('percent',0)))" 2>/dev/null || echo "0"
|
|
else
|
|
echo "0"
|
|
fi
|
|
}
|
|
|
|
# 获取当前时间在周期内的位置（1-5）
|
|
get_cycle_position() {
|
|
local hour minute cycle_minutes
|
|
hour=$(date '+%-H') # 不带前导零
|
|
minute=$(date '+%-M')
|
|
|
|
cycle_minutes=$((hour % 5 * 60 + minute))
|
|
position=$((cycle_minutes / 60 + 1))
|
|
|
|
echo "$position"
|
|
}
|
|
|
|
# 检查今天是否已经学习过（避免同一天多次学习）
|
|
check_today_already_learned() {
|
|
local today
|
|
today=$(date '+%Y-%m-%d')
|
|
if grep -q "$today.*学习执行完成" "$LOG_FILE" 2>/dev/null; then
|
|
return 0 # 已学习
|
|
else
|
|
return 1 # 未学习
|
|
fi
|
|
}
|
|
|
|
main() {
|
|
log "========== 混合学习周期开始 =========="
|
|
|
|
# 获取当前周期位置
|
|
local cycle_pos
|
|
cycle_pos=$(get_cycle_position)
|
|
log "当前周期位置: 第${cycle_pos}小时 (每5小时一个周期)"
|
|
|
|
# 获取对应阈值
|
|
local threshold
|
|
threshold=${THRESHOLDS[$cycle_pos]:-60}
|
|
log "当前阈值: ${threshold}%"
|
|
|
|
# 检查今天是否已学习
|
|
if check_today_already_learned; then
|
|
log "⚠️ 今天已学习过，跳过本次执行"
|
|
log "========== 混合学习周期结束 =========="
|
|
echo ""
|
|
return
|
|
fi
|
|
|
|
# 获取配额使用率
|
|
local quota_usage
|
|
quota_usage=$(get_quota_usage)
|
|
log "当前配额使用率: ${quota_usage}%"
|
|
|
|
# 检查是否需要学习
|
|
local needs_learning=false
|
|
if [ "$quota_usage" -lt "$threshold" ]; then
|
|
needs_learning=true
|
|
log "配额使用率低于阈值，准备执行学习"
|
|
else
|
|
log "配额使用率高于阈值，跳过本次学习"
|
|
fi
|
|
|
|
# 如果需要学习，执行自动学习脚本
|
|
if [ "$needs_learning" = true ]; then
|
|
log "执行自动学习..."
|
|
cd /root/.openclaw/scripts
|
|
|
|
# 保守执行：使用较短超时
|
|
timeout 300 python3 auto-learning.py >> "$LOG_FILE" 2>&1
|
|
|
|
if [ $? -eq 0 ]; then
|
|
log "学习执行完成"
|
|
else
|
|
log "学习执行遇到问题（可能超时）"
|
|
fi
|
|
fi
|
|
|
|
log "========== 混合学习周期结束 =========="
|
|
echo ""
|
|
}
|
|
|
|
main "$@"
|