557 lines
28 KiB
Python
557 lines
28 KiB
Python
"""
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配置管理API
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"""
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from fastapi import APIRouter, HTTPException
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from api.models.config import ConfigItem, ConfigUpdate
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import sys
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from pathlib import Path
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import logging
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# 添加项目根目录到路径
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project_root = Path(__file__).parent.parent.parent.parent
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sys.path.insert(0, str(project_root))
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sys.path.insert(0, str(project_root / 'backend'))
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sys.path.insert(0, str(project_root / 'trading_system'))
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from database.models import TradingConfig
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logger = logging.getLogger(__name__)
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router = APIRouter()
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# 智能入场（方案C）配置：为了“配置页可见”，即使数据库尚未创建，也在 GET /api/config 返回默认项
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SMART_ENTRY_CONFIG_DEFAULTS = {
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"SMART_ENTRY_ENABLED": {
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"value": False,
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"type": "boolean",
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"category": "strategy",
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"description": "智能入场开关。关闭后回归“纯限价单模式”（不追价/不市价兜底/未成交则撤单跳过），更适合低频波段。",
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},
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"SMART_ENTRY_STRONG_SIGNAL": {
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"value": 8,
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"type": "number",
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"category": "strategy",
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"description": "强信号阈值（0-10）。≥该值且4H趋势明确时，允许更积极的入场（可控市价兜底）。",
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},
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"ENTRY_SYMBOL_COOLDOWN_SEC": {
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"value": 120,
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"type": "number",
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"category": "strategy",
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"description": "同一交易对入场冷却时间（秒）。避免短时间内反复挂单/重入导致高频噪音单。",
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},
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"ENTRY_TIMEOUT_SEC": {
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"value": 180,
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"type": "number",
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"category": "strategy",
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"description": "智能入场总预算时间（秒）。超过预算仍未成交将根据规则取消/兜底。",
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},
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"ENTRY_STEP_WAIT_SEC": {
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"value": 15,
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"type": "number",
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"category": "strategy",
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"description": "每次追价/调整前等待成交时间（秒）。",
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},
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"ENTRY_CHASE_MAX_STEPS": {
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"value": 4,
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"type": "number",
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"category": "strategy",
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"description": "最大追价步数（逐步减小限价回调幅度，靠近当前价）。",
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},
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"ENTRY_MARKET_FALLBACK_AFTER_SEC": {
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"value": 45,
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"type": "number",
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"category": "strategy",
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"description": "趋势强时：超过该时间仍未成交，会在偏离不超过上限时转市价兜底（减少错过）。",
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},
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"ENTRY_CONFIRM_TIMEOUT_SEC": {
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"value": 30,
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"type": "number",
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"category": "strategy",
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"description": "下单后确认成交等待时间（秒）。",
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},
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"ENTRY_MAX_DRIFT_PCT_TRENDING": {
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"value": 0.006, # 0.6%
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"type": "number",
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"category": "strategy",
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"description": "趋势强时最大追价偏离（%）。例如 0.6 表示 0.6%。越小越保守。",
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},
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"ENTRY_MAX_DRIFT_PCT_RANGING": {
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"value": 0.003, # 0.3%
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"type": "number",
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"category": "strategy",
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"description": "震荡/弱趋势最大追价偏离（%）。例如 0.3 表示 0.3%。越小越保守。",
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},
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}
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# 自动交易过滤项：用于“提升胜率/控频”，避免震荡行情来回扫损导致胜率极低
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AUTO_TRADE_FILTER_DEFAULTS = {
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"AUTO_TRADE_ONLY_TRENDING": {
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"value": True,
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"type": "boolean",
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"category": "strategy",
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"description": "自动交易仅在市场状态=trending时执行（ranging/unknown只生成推荐，不自动下单）。用于显著降低震荡扫损与交易次数。",
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},
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"AUTO_TRADE_ALLOW_4H_NEUTRAL": {
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"value": False,
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"type": "boolean",
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"category": "strategy",
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"description": "是否允许4H趋势=neutral时自动交易。默认关闭（中性趋势最容易被扫损）；若你希望更积极可开启。",
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},
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}
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@router.get("")
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@router.get("/")
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async def get_all_configs():
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"""获取所有配置"""
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try:
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configs = TradingConfig.get_all()
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result = {}
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for config in configs:
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result[config['config_key']] = {
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'value': TradingConfig._convert_value(
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config['config_value'],
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config['config_type']
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),
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'type': config['config_type'],
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'category': config['category'],
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'description': config['description']
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}
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# 合并“默认但未入库”的配置项（用于新功能上线时直接在配置页可见）
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for k, meta in SMART_ENTRY_CONFIG_DEFAULTS.items():
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if k not in result:
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result[k] = meta
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for k, meta in AUTO_TRADE_FILTER_DEFAULTS.items():
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if k not in result:
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result[k] = meta
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return result
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except Exception as e:
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raise HTTPException(status_code=500, detail=str(e))
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@router.get("/feasibility-check")
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async def check_config_feasibility():
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"""
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检查配置可行性，基于当前账户余额和杠杆倍数计算可行的配置建议
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"""
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try:
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# 获取账户余额
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try:
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from api.routes.account import get_realtime_account_data
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account_data = await get_realtime_account_data()
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available_balance = account_data.get('available_balance', 0)
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total_balance = account_data.get('total_balance', 0)
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except Exception as e:
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logger.warning(f"获取账户余额失败: {e}，使用默认值")
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available_balance = 0
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total_balance = 0
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if available_balance <= 0:
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return {
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"feasible": False,
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"error": "无法获取账户余额，请检查API配置",
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"suggestions": []
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}
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# 获取当前配置
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min_margin_usdt = TradingConfig.get_value('MIN_MARGIN_USDT', 5.0)
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min_position_percent = TradingConfig.get_value('MIN_POSITION_PERCENT', 0.02)
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max_position_percent = TradingConfig.get_value('MAX_POSITION_PERCENT', 0.08)
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base_leverage = TradingConfig.get_value('LEVERAGE', 10)
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max_leverage = TradingConfig.get_value('MAX_LEVERAGE', 15)
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use_dynamic_leverage = TradingConfig.get_value('USE_DYNAMIC_LEVERAGE', True)
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# 检查所有可能的杠杆倍数（考虑动态杠杆）
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leverage_to_check = [base_leverage]
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if use_dynamic_leverage and max_leverage > base_leverage:
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# 检查基础杠杆、最大杠杆，以及中间的关键值（如15x, 20x, 30x, 40x）
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leverage_to_check.append(max_leverage)
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# 添加常见的杠杆倍数
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for lev in [15, 20, 25, 30, 40, 50]:
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if base_leverage < lev <= max_leverage and lev not in leverage_to_check:
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leverage_to_check.append(lev)
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leverage_to_check = sorted(set(leverage_to_check))
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# 检查每个杠杆倍数下的可行性
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leverage_results = []
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all_feasible = True
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worst_case_leverage = None
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worst_case_margin = None
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for leverage in leverage_to_check:
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# 重要语义说明（与 trading_system 保持一致）：
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# - MAX/MIN_POSITION_PERCENT 表示“保证金占用比例”（不是名义价值比例）
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# - MIN_MARGIN_USDT 是最小保证金（USDT）
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# 同时考虑币安最小名义价值约束：名义价值>=5USDT => margin >= 5/leverage
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min_notional = 5.0
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required_margin_for_notional = (min_notional / leverage) if leverage and leverage > 0 else min_notional
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required_position_value = max(min_margin_usdt, required_margin_for_notional) # 实际需要的最小保证金（USDT）
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required_position_percent = required_position_value / available_balance if available_balance > 0 else 0
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# 计算使用最小仓位百分比时，实际能得到的保证金（直接就是保证金）
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min_position_value = available_balance * min_position_percent
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actual_min_margin = min_position_value
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# 检查是否可行：
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# 1) 最大保证金占比是否能满足 required_position_value
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# 2) 如果 MIN_POSITION_PERCENT > 0，则最小保证金占比也应 >= required_position_value（否则最小仓位配置会“阻碍”满足最小保证金/最小名义价值）
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condition1_ok = required_position_percent <= max_position_percent
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condition2_ok = (min_position_percent <= 0) or (actual_min_margin >= required_position_value)
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is_feasible_at_leverage = condition1_ok and condition2_ok
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leverage_results.append({
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'leverage': leverage,
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'required_position_value': required_position_value, # 实际需要的最小保证金（USDT）
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'required_position_percent': required_position_percent * 100,
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'actual_min_margin': actual_min_margin,
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'feasible': is_feasible_at_leverage,
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'condition1_ok': condition1_ok,
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'condition2_ok': condition2_ok
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})
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if not is_feasible_at_leverage:
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all_feasible = False
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# 记录最坏情况（实际保证金最小的）
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if worst_case_margin is None or actual_min_margin < worst_case_margin:
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worst_case_leverage = leverage
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worst_case_margin = actual_min_margin
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# 使用基础杠杆的结果作为主要判断
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base_result = next((r for r in leverage_results if r['leverage'] == base_leverage), leverage_results[0])
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is_feasible = all_feasible
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suggestions = []
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if not is_feasible:
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# 不可行，给出建议
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# 找出不可行的杠杆倍数
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infeasible_leverages = [r for r in leverage_results if not r['feasible']]
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if infeasible_leverages:
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# 找出最坏情况（实际保证金最小的）
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worst = min(infeasible_leverages, key=lambda x: x['actual_min_margin'])
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worst_leverage = worst['leverage']
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worst_margin = worst['actual_min_margin']
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# 方案1：基于最坏情况（最大杠杆）降低最小保证金
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# 建议值应该比计算值小一点，确保可行（比如0.51 -> 0.5）
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if not worst['condition2_ok']:
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# 计算建议值：比实际支持值小0.01-0.05，确保可行
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suggested_margin = max(0.01, worst_margin - 0.01) # 至少保留0.01的余量
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# 如果差值较大，可以多减一点
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if worst_margin > 1.0:
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suggested_margin = worst_margin - 0.05
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# 保留2位小数，向下取整
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suggested_margin = round(suggested_margin - 0.005, 2) # 减0.005确保向下取整
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if suggested_margin < 0.01:
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suggested_margin = 0.01
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suggestions.append({
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"type": "reduce_min_margin_to_supported",
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"title": f"降低最小保证金（考虑{worst_leverage}x杠杆）",
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"description": f"将 MIN_MARGIN_USDT 调整为 {suggested_margin:.2f} USDT（当前: {min_margin_usdt:.2f} USDT）。在{worst_leverage}x杠杆下，实际支持 {worst_margin:.2f} USDT，建议设置为 {suggested_margin:.2f} USDT 以确保可行",
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"config_key": "MIN_MARGIN_USDT",
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"suggested_value": suggested_margin,
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"reason": f"在{worst_leverage}x杠杆下，使用最小仓位 {min_position_percent*100:.1f}% 时，实际保证金只有 {worst_margin:.2f} USDT，无法满足 {min_margin_usdt:.2f} USDT 的要求"
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})
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# 方案1b：增加最小仓位百分比（作为替代方案）
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# 计算需要的最小仓位百分比：min_position_percent >= (min_margin_usdt * leverage) / available_balance
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required_min_position_percent = (min_margin_usdt * worst_leverage) / available_balance if available_balance > 0 else 0
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# 建议值应该比计算值大一点，确保可行（比如0.0102 -> 0.011）
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suggested_min_position_percent = required_min_position_percent + 0.001 # 多0.1%
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# 如果差值较大，可以多加一点
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if required_min_position_percent > 0.02:
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suggested_min_position_percent = required_min_position_percent + 0.002 # 多0.2%
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# 确保不超过最大仓位百分比
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if suggested_min_position_percent > max_position_percent:
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suggested_min_position_percent = max_position_percent
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# 保留4位小数
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suggested_min_position_percent = round(suggested_min_position_percent, 4)
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if suggested_min_position_percent > min_position_percent and suggested_min_position_percent <= max_position_percent:
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suggestions.append({
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"type": "increase_min_position_percent",
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"title": f"增加最小仓位百分比（考虑{worst_leverage}x杠杆）",
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"description": f"将 MIN_POSITION_PERCENT 调整为 {suggested_min_position_percent*100:.2f}%（当前: {min_position_percent*100:.2f}%）。在{worst_leverage}x杠杆下，需要至少 {required_min_position_percent*100:.2f}% 才能满足最小保证金 {min_margin_usdt:.2f} USDT 的要求，建议设置为 {suggested_min_position_percent*100:.2f}% 以确保可行",
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"config_key": "MIN_POSITION_PERCENT",
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"suggested_value": suggested_min_position_percent,
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"reason": f"在{worst_leverage}x杠杆下，当前最小仓位 {min_position_percent*100:.2f}% 只能提供 {worst_margin:.2f} USDT 保证金，需要至少 {required_min_position_percent*100:.2f}% 才能满足 {min_margin_usdt:.2f} USDT 的要求"
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})
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# 方案2：基于最大杠杆计算需要的最小保证金
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max_leverage_result = next((r for r in leverage_results if r['leverage'] == max_leverage), None)
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if max_leverage_result and not max_leverage_result['feasible']:
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if max_leverage_result['required_position_percent'] > max_position_percent:
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suggested_min_margin_max_lev = (available_balance * max_position_percent) / max_leverage
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# 同样，建议值应该比计算值小一点
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suggested_margin_max_lev = max(0.01, suggested_min_margin_max_lev - 0.01)
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if suggested_min_margin_max_lev > 1.0:
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suggested_margin_max_lev = suggested_min_margin_max_lev - 0.05
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suggested_margin_max_lev = round(suggested_margin_max_lev - 0.005, 2)
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if suggested_margin_max_lev < 0.01:
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suggested_margin_max_lev = 0.01
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suggestions.append({
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"type": "reduce_min_margin_for_max_leverage",
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"title": f"降低最小保证金（支持{max_leverage}x杠杆）",
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"description": f"将 MIN_MARGIN_USDT 调整为 {suggested_margin_max_lev:.2f} USDT（当前: {min_margin_usdt:.2f} USDT），以支持{max_leverage}x杠杆",
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"config_key": "MIN_MARGIN_USDT",
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"suggested_value": suggested_margin_max_lev,
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"reason": f"在{max_leverage}x杠杆下，需要 {max_leverage_result['required_position_percent']:.1f}% 的仓位价值，但最大允许 {max_position_percent*100:.1f}%"
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})
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# 方案2b：如果condition2不满足，也可以建议增加最小仓位百分比
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if not max_leverage_result['condition2_ok']:
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required_min_position_percent_max = (min_margin_usdt * max_leverage) / available_balance if available_balance > 0 else 0
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suggested_min_position_percent_max = required_min_position_percent_max + 0.001
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if required_min_position_percent_max > 0.02:
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suggested_min_position_percent_max = required_min_position_percent_max + 0.002
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if suggested_min_position_percent_max > max_position_percent:
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suggested_min_position_percent_max = max_position_percent
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suggested_min_position_percent_max = round(suggested_min_position_percent_max, 4)
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if suggested_min_position_percent_max > min_position_percent and suggested_min_position_percent_max <= max_position_percent:
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suggestions.append({
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"type": "increase_min_position_percent_for_max_leverage",
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"title": f"增加最小仓位百分比（支持{max_leverage}x杠杆）",
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"description": f"将 MIN_POSITION_PERCENT 调整为 {suggested_min_position_percent_max*100:.2f}%（当前: {min_position_percent*100:.2f}%），以支持{max_leverage}x杠杆下的最小保证金要求",
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"config_key": "MIN_POSITION_PERCENT",
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"suggested_value": suggested_min_position_percent_max,
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"reason": f"在{max_leverage}x杠杆下，需要至少 {required_min_position_percent_max*100:.2f}% 的最小仓位才能满足 {min_margin_usdt:.2f} USDT 的要求"
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})
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# 方案3：降低最大杠杆
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if use_dynamic_leverage:
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# 计算能支持的最大杠杆
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max_supported_leverage = int((available_balance * max_position_percent) / min_margin_usdt)
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if max_supported_leverage < max_leverage and max_supported_leverage >= base_leverage:
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suggestions.append({
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"type": "reduce_max_leverage",
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"title": "降低最大杠杆倍数",
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"description": f"将 MAX_LEVERAGE 调整为 {max_supported_leverage}x（当前: {max_leverage}x），以支持当前配置",
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"config_key": "MAX_LEVERAGE",
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"suggested_value": max_supported_leverage,
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"reason": f"当前配置下，最大只能支持 {max_supported_leverage}x 杠杆才能满足最小保证金要求"
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})
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# 方案4：增加账户余额
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if worst['required_position_percent'] > max_position_percent:
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required_balance = worst['required_position_value'] / max_position_percent
|
||
suggestions.append({
|
||
"type": "increase_balance",
|
||
"title": "增加账户余额",
|
||
"description": f"将账户余额增加到至少 {required_balance:.2f} USDT（当前: {available_balance:.2f} USDT），以支持{worst_leverage}x杠杆",
|
||
"config_key": None,
|
||
"suggested_value": round(required_balance, 2),
|
||
"reason": f"在{worst_leverage}x杠杆下，当前余额不足以满足最小保证金 {min_margin_usdt:.2f} USDT 的要求"
|
||
})
|
||
|
||
# 显示所有杠杆倍数的检查结果
|
||
suggestions.append({
|
||
"type": "leverage_analysis",
|
||
"title": "各杠杆倍数检查结果",
|
||
"description": "详细检查结果见下方",
|
||
"config_key": None,
|
||
"suggested_value": None,
|
||
"reason": None,
|
||
"leverage_results": leverage_results
|
||
})
|
||
else:
|
||
# 可行，显示当前配置信息
|
||
actual_min_position_value = available_balance * min_position_percent
|
||
actual_min_margin = base_result['actual_min_margin']
|
||
|
||
suggestions.append({
|
||
"type": "info",
|
||
"title": "配置可行",
|
||
"description": f"当前配置可以正常下单。最小保证金占比对应保证金: {actual_min_margin:.2f} USDT（MIN_POSITION_PERCENT={min_position_percent*100:.2f}%），最小保证金要求: {min_margin_usdt:.2f} USDT",
|
||
"config_key": None,
|
||
"suggested_value": None,
|
||
"reason": None
|
||
})
|
||
|
||
# 如果启用了动态杠杆，显示所有杠杆倍数的检查结果
|
||
if use_dynamic_leverage and len(leverage_to_check) > 1:
|
||
suggestions.append({
|
||
"type": "leverage_analysis",
|
||
"title": "各杠杆倍数检查结果（全部可行）",
|
||
"description": "详细检查结果见下方",
|
||
"config_key": None,
|
||
"suggested_value": None,
|
||
"reason": None,
|
||
"leverage_results": leverage_results
|
||
})
|
||
|
||
return {
|
||
"feasible": is_feasible,
|
||
"account_balance": available_balance,
|
||
"base_leverage": base_leverage,
|
||
"max_leverage": max_leverage,
|
||
"use_dynamic_leverage": use_dynamic_leverage,
|
||
"current_config": {
|
||
"min_margin_usdt": min_margin_usdt,
|
||
"min_position_percent": min_position_percent,
|
||
"max_position_percent": max_position_percent
|
||
},
|
||
"calculated_values": {
|
||
"required_position_value": base_result['required_position_value'],
|
||
"required_position_percent": base_result['required_position_percent'],
|
||
"max_allowed_position_percent": max_position_percent * 100,
|
||
"min_position_value": available_balance * min_position_percent,
|
||
"actual_min_margin": base_result['actual_min_margin'],
|
||
"min_position_percent": min_position_percent * 100
|
||
},
|
||
"leverage_analysis": {
|
||
"leverages_checked": leverage_to_check,
|
||
"all_feasible": all_feasible,
|
||
"results": leverage_results
|
||
},
|
||
"suggestions": suggestions
|
||
}
|
||
except Exception as e:
|
||
logger.error(f"检查配置可行性失败: {e}", exc_info=True)
|
||
raise HTTPException(status_code=500, detail=f"检查配置可行性失败: {str(e)}")
|
||
|
||
|
||
@router.get("/{key}")
|
||
async def get_config(key: str):
|
||
"""获取单个配置"""
|
||
try:
|
||
config = TradingConfig.get(key)
|
||
if not config:
|
||
raise HTTPException(status_code=404, detail="Config not found")
|
||
|
||
return {
|
||
'key': config['config_key'],
|
||
'value': TradingConfig._convert_value(
|
||
config['config_value'],
|
||
config['config_type']
|
||
),
|
||
'type': config['config_type'],
|
||
'category': config['category'],
|
||
'description': config['description']
|
||
}
|
||
except HTTPException:
|
||
raise
|
||
except Exception as e:
|
||
raise HTTPException(status_code=500, detail=str(e))
|
||
|
||
|
||
@router.put("/{key}")
|
||
async def update_config(key: str, item: ConfigUpdate):
|
||
"""更新配置"""
|
||
try:
|
||
# 获取现有配置以确定类型和分类
|
||
existing = TradingConfig.get(key)
|
||
if existing:
|
||
config_type = item.type or existing['config_type']
|
||
category = item.category or existing['category']
|
||
description = item.description or existing['description']
|
||
else:
|
||
# 允许创建新配置（用于新功能首次上线，DB 里还没有 key 的情况）
|
||
meta = SMART_ENTRY_CONFIG_DEFAULTS.get(key)
|
||
config_type = item.type or (meta.get("type") if meta else "string")
|
||
category = item.category or (meta.get("category") if meta else "strategy")
|
||
description = item.description or (meta.get("description") if meta else f"{key}配置")
|
||
|
||
# 验证配置值
|
||
if config_type == 'number':
|
||
try:
|
||
float(item.value)
|
||
except (ValueError, TypeError):
|
||
raise HTTPException(status_code=400, detail=f"Invalid number value for {key}")
|
||
elif config_type == 'boolean':
|
||
if not isinstance(item.value, bool):
|
||
# 尝试转换
|
||
if isinstance(item.value, str):
|
||
item.value = item.value.lower() in ('true', '1', 'yes', 'on')
|
||
else:
|
||
item.value = bool(item.value)
|
||
|
||
# 特殊验证：百分比配置应该在0-1之间
|
||
# 兼容：PERCENT / PCT
|
||
if ('PERCENT' in key or 'PCT' in key) and config_type == 'number':
|
||
if not (0 <= float(item.value) <= 1):
|
||
raise HTTPException(
|
||
status_code=400,
|
||
detail=f"{key} must be between 0 and 1 (0% to 100%)"
|
||
)
|
||
|
||
# 更新配置（会同时更新数据库和Redis缓存）
|
||
TradingConfig.set(key, item.value, config_type, category, description)
|
||
|
||
# 更新config_manager的缓存（包括Redis）
|
||
try:
|
||
import config_manager
|
||
if hasattr(config_manager, 'config_manager') and config_manager.config_manager:
|
||
# 调用set方法会同时更新数据库、Redis和本地缓存
|
||
config_manager.config_manager.set(key, item.value, config_type, category, description)
|
||
logger.info(f"配置已更新到Redis缓存: {key} = {item.value}")
|
||
except Exception as e:
|
||
logger.warning(f"更新配置缓存失败: {e}")
|
||
|
||
return {
|
||
"message": "配置已更新",
|
||
"key": key,
|
||
"value": item.value,
|
||
"note": "配置已同步到Redis，交易系统将立即使用新配置"
|
||
}
|
||
except HTTPException:
|
||
raise
|
||
except Exception as e:
|
||
raise HTTPException(status_code=500, detail=str(e))
|
||
|
||
|
||
@router.post("/batch")
|
||
async def update_configs_batch(configs: list[ConfigItem]):
|
||
"""批量更新配置"""
|
||
try:
|
||
updated_count = 0
|
||
errors = []
|
||
|
||
for item in configs:
|
||
try:
|
||
# 验证配置值
|
||
if item.type == 'number':
|
||
try:
|
||
float(item.value)
|
||
except (ValueError, TypeError):
|
||
errors.append(f"{item.key}: Invalid number value")
|
||
continue
|
||
|
||
# 特殊验证：百分比配置（兼容 PERCENT / PCT）
|
||
if ('PERCENT' in item.key or 'PCT' in item.key) and item.type == 'number':
|
||
if not (0 <= float(item.value) <= 1):
|
||
errors.append(f"{item.key}: Must be between 0 and 1")
|
||
continue
|
||
|
||
TradingConfig.set(
|
||
item.key,
|
||
item.value,
|
||
item.type,
|
||
item.category,
|
||
item.description
|
||
)
|
||
updated_count += 1
|
||
except Exception as e:
|
||
errors.append(f"{item.key}: {str(e)}")
|
||
|
||
if errors:
|
||
return {
|
||
"message": f"部分配置更新成功: {updated_count}/{len(configs)}",
|
||
"updated": updated_count,
|
||
"errors": errors,
|
||
"note": "交易系统将在下次扫描时自动使用新配置"
|
||
}
|
||
|
||
return {
|
||
"message": f"成功更新 {updated_count} 个配置",
|
||
"updated": updated_count,
|
||
"note": "交易系统将在下次扫描时自动使用新配置"
|
||
}
|
||
except Exception as e:
|
||
raise HTTPException(status_code=500, detail=str(e))
|