71 lines
2.7 KiB
Python
71 lines
2.7 KiB
Python
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import sys
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import os
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from pathlib import Path
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# Add backend to sys.path
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backend_dir = Path(__file__).parent / 'backend'
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sys.path.insert(0, str(backend_dir))
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try:
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from database.models import GlobalStrategyConfig
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from database.connection import db
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# Check DB connection
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print("Checking DB connection...")
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db.execute_one("SELECT 1")
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print("DB connection successful.")
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configs_to_update = [
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# Key, Value, Type, Category, Description
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('TAKE_PROFIT_PERCENT', 0.80, 'number', 'risk', '第二目标/单目标止盈80%（保证金百分比）'),
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('TAKE_PROFIT_1_PERCENT', 0.30, 'number', 'risk', '第一目标止盈30%（保证金百分比）'),
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('STOP_LOSS_PERCENT', 0.10, 'number', 'risk', '止损10%（保证金百分比）'),
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('TRAILING_STOP_ACTIVATION', 0.30, 'number', 'risk', '移动止损激活阈值（保证金百分比）'),
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('TRAILING_STOP_PROTECT', 0.10, 'number', 'risk', '移动止损保护阈值（保证金百分比）'),
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('LEVERAGE', 8, 'number', 'risk', '基础杠杆倍数'),
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('RISK_REWARD_RATIO', 3.0, 'number', 'risk', '盈亏比目标'),
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('ATR_TAKE_PROFIT_MULTIPLIER', 6.0, 'number', 'risk', 'ATR止盈倍数'),
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('ATR_STOP_LOSS_MULTIPLIER', 3.0, 'number', 'risk', 'ATR止损倍数'),
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('USE_FIXED_RISK_SIZING', True, 'bool', 'risk', '是否使用固定风险仓位计算'),
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('FIXED_RISK_PERCENT', 0.03, 'number', 'risk', '每笔交易固定风险百分比'),
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('MAX_LEVERAGE_SMALL_CAP', 8, 'number', 'risk', '小众币最大杠杆'),
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('MIN_MARGIN_USDT', 2.0, 'number', 'risk', '最小保证金（USDT）')
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]
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print("Updating Global Strategy Config...")
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for key, value, type_, category, desc in configs_to_update:
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print(f"Updating {key} -> {value}")
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GlobalStrategyConfig.set(
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key=key,
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value=value,
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config_type=type_,
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category=category,
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description=desc,
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updated_by='admin_script'
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)
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# Force Redis Cache Clear
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try:
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import redis
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print("Clearing Redis Cache...")
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r = redis.from_url('rediss://127.0.0.1:6379', decode_responses=True, ssl_cert_reqs='none')
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r.delete("global_strategy_config")
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print("Redis Cache Cleared.")
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except Exception as e:
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print(f"Redis clear failed: {e}")
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print("Update complete.")
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# Verify updates
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print("\nVerifying updates:")
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for key, expected_value, _, _, _ in configs_to_update:
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actual_value = GlobalStrategyConfig.get_value(key)
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print(f"{key}: {actual_value} (Expected: {expected_value})")
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except Exception as e:
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print(f"Error: {e}")
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import traceback
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traceback.print_exc()
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