test(framework_v2): 添加配置系统测试和策略示例

配置文件:
- rotation_global.yaml: 扁平化资产池配置示例,演示 group 策略分组
  * 13 个标的覆盖 7 个策略分组(US_TECH, CN_GROWTH, JP_BROAD, EU_BROAD, HK_TECH, COMMODITY, FIXED_INCOME)
  * signal_source/trade_source 分离配置(跨市场场景)
  * 分散化选股配置示例(注释状态)
  * 默认使用 Flask API 数据源

测试用例:
- test_flat_asset_pool.py: 7/7 测试通过
  * 扁平配置加载验证
  * 策略分组功能测试(by_group, groups, count)
  * 信号/交易标的获取(get_signal_codes, get_trade_codes)
  * 信号→交易映射(get_signal_to_trade_mapping)
  * 分散化配置验证
  * 标的配置详情验证

- test_config.py: 配置加载器测试
- test_simple_rotation.py: 简单轮动策略端到端测试
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# 跨市场轮动策略配置(扁平化设计)
#
# 配置版本: 2.0.0
# 最后更新: 2024-04-16
# 策略名称: rotation_global
# 描述: 全球资产大类轮动 - 扁平化资产池设计
# ============================================================
# 元数据
# ============================================================
metadata:
version: "2.0.0"
strategy: "rotation_global"
description: "全球资产大类轮动策略 V2 - 扁平化资产池"
last_updated: "2024-04-16"
# ============================================================
# 资产池配置(扁平化设计)
# ============================================================
asset_pools:
assets:
# ============================================================
# 美股指数(通过 A 股 ETF 交易)
# ============================================================
"NDX":
name: "纳指100"
group: "US_TECH"
signal_source: "NDX" # 纳指信号
trade_source: "513100.SH" # A股ETF交易
description: "纳斯达克100指数科技股代表"
"SPX":
name: "标普500"
group: "US_TECH"
signal_source: "SPX"
trade_source: "513500.SH"
description: "标普500指数美股大盘"
# ============================================================
# A股指数直接交易 ETF
# ============================================================
"399006.SZ":
name: "创业板指"
group: "CN_GROWTH"
signal_source: "399006.SZ"
trade_source: "159915.SZ"
description: "创业板指数,成长股代表"
"000300.SH":
name: "沪深300"
group: "CN_GROWTH"
signal_source: "000300.SH"
trade_source: "510300.SH"
description: "沪深300指数大盘蓝筹"
"H30269.CSI":
name: "中证红利低波"
group: "CN_GROWTH"
signal_source: "H30269.CSI"
trade_source: "512890.SH"
description: "红利低波指数,价值股代表"
# ============================================================
# 日本股市(通过 A 股 ETF 交易)
# ============================================================
"N225":
name: "日经225"
group: "JP_BROAD"
signal_source: "N225"
trade_source: "513520.SH"
description: "日经225指数日本股市"
# ============================================================
# 欧洲股市(通过 A 股 ETF 交易)
# ============================================================
"GDAXI":
name: "德国DAX"
group: "EU_BROAD"
signal_source: "GDAXI"
trade_source: "513030.SH"
description: "德国DAX指数欧洲股市"
# ============================================================
# 港股(通过 A 股 ETF 交易)
# ============================================================
"HSI":
name: "恒生指数"
group: "HK_TECH"
signal_source: "HSI"
trade_source: "159920.SZ"
description: "恒生指数,香港股市"
"HSTECH.HK":
name: "恒生科技"
group: "HK_TECH"
signal_source: "HSTECH.HK"
trade_source: "513130.SH"
description: "恒生科技指数,港股科技"
# ============================================================
# 商品(国际期货信号 → A股ETF交易
# ============================================================
"GC=F":
name: "黄金"
group: "COMMODITY"
signal_source: "GC=F" # COMEX黄金期货
trade_source: "518880.SH" # A股黄金ETF
description: "COMEX黄金期货避险资产"
"CL=F":
name: "原油"
group: "COMMODITY"
signal_source: "CL=F" # WTI原油期货
trade_source: "160723.SZ" # A股原油基金
description: "WTI原油期货能源商品"
"HG=F":
name: "有色金属"
group: "COMMODITY"
signal_source: "HG=F" # COMEX铜期货
trade_source: "159980.SZ" # A股有色ETF
description: "COMEX铜期货工业金属"
# ============================================================
# 固定收益(直接交易指数)
# ============================================================
"931862.CSI":
name: "短债指数"
group: "FIXED_INCOME"
signal_source: "931862.CSI"
trade_source: "931862.CSI" # 直接交易指数无ETF
description: "中证0-9个月国债指数久期<1年防御配置"
# ============================================================
# 加密货币(未来扩展示例)
# ============================================================
# "BTC":
# name: "比特币"
# group: "CRYPTO"
# signal_source: "BTC"
# trade_source: "BTC"
# description: "比特币,数字黄金"
# ============================================================
# 外汇(未来扩展示例)
# ============================================================
# "EURUSD":
# name: "欧元/美元"
# group: "FOREX"
# signal_source: "EURUSD"
# trade_source: "EURUSD"
# description: "欧元/美元汇率"
# ============================================================
# 基准配置
# ============================================================
benchmark:
code: "000300.SH"
name: "沪深300"
# ============================================================
# 回测配置
# ============================================================
backtest:
start_date: "2020-01-01"
# end_date: null # null 表示至今
# ============================================================
# 因子配置
# ============================================================
factor:
type: "weighted_momentum" # 因子类型: momentum / slope_r2 / weighted_momentum
n_days: 25 # 动量窗口期5-250天
# 动态周期参数(可选)
auto_day: false # 是否启用动态周期
min_days: 20 # 最小周期
max_days: 60 # 最大周期
# ============================================================
# 轮动配置
# ============================================================
rotation:
# ============================================================
# 模式 1全局选股默认
# ============================================================
select_num: 5 # 全局选 Top-5
diversified: false # 不分散化
# ============================================================
# 模式 2分散化选股取消注释启用
# ============================================================
# diversified: true # 启用分散化
# diversification_groups: # 按市场分组选股
# - group: "US_TECH"
# select_num: 1 # 美股选 1 只
# - group: "CN_GROWTH"
# select_num: 1 # A股选 1 只
# - group: "JP_BROAD"
# select_num: 1 # 日本选 1 只
# - group: "EU_BROAD"
# select_num: 1 # 欧洲选 1 只
# - group: "HK_TECH"
# select_num: 1 # 港股选 1 只
# - group: "COMMODITY"
# select_num: 1 # 商品选 1 只
# - group: "FIXED_INCOME"
# select_num: 1 # 债券选 1 只
# 阈值配置(统一 V2/V3
threshold:
mode: "dynamic" # 阈值模式: fixed / dynamic
fixed_value: 0.0 # 固定阈值mode=fixed时使用
# 动态阈值配置mode=dynamic时使用
dynamic:
reference: "931862.CSI" # 参考标的(短债指数)
ratio: 1.0 # 阈值 = 短债动量 × ratio
fallback_enabled: true # 参考不可用时是否回退
fallback_value: 0.0 # 回退值
# ============================================================
# 调仓配置
# ============================================================
rebalance:
min_hold_days: 1 # 最低持有天数1-30
score_threshold: 0.0 # 调仓得分阈值0-0.5,表示%
trade_cost: 0.001 # 单次换仓成本0-0.01,即 0.1%
# ============================================================
# 溢价控制配置
# ============================================================
premium_control:
enabled: true # 是否启用溢价控制
default_threshold: 0.10 # 默认溢价阈值10%
mode: "filter" # 控制模式: filter排除/ penalize降权
penalty_factor: 0.5 # 降权惩罚系数
# 按市场覆盖配置
market_overrides:
CN_EQUITY: # A股 ETF
enabled: false # 不启用(溢价通常 < 0.5%
HK_EQUITY: # 港股 ETF
enabled: true
threshold: 0.10 # 阈值 10%
US_EQUITY: # 美股 ETF
enabled: true
threshold: 0.10 # 阈值 10%
JP_EQUITY: # 日本 ETF
enabled: true
threshold: 0.10 # 阈值 10%
EU_EQUITY: # 欧洲 ETF
enabled: true
threshold: 0.10 # 阈值 10%
COMMODITY: # 商品 ETF
enabled: false # 不启用
# ============================================================
# 数据配置
# ============================================================
data:
# 数据源列表(按优先级排序)
sources:
# 主数据源Flask API
- type: "flask_api"
enabled: true
url: "${FLASK_API_URL}" # 从环境变量读取
timeout: 120

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"""
测试配置加载和验证
验证:
1. 配置文件加载
2. Pydantic Schema 验证
3. 环境变量替换
4. 错误处理
"""
import sys
from pathlib import Path
import os
# 添加项目根目录到路径
project_root = Path(__file__).parent.parent.parent
if str(project_root) not in sys.path:
sys.path.insert(0, str(project_root))
from framework_v2.config import load_config, ConfigLoader
from framework_v2.config.schemas import RotationStrategyConfig, MarketType
def test_load_config():
"""测试 1: 加载配置文件"""
print("\n" + "=" * 70)
print(" 测试 1: 加载配置文件")
print("=" * 70)
# 设置环境变量(模拟)
os.environ['FLASK_API_URL'] = 'https://k3s.tokenpluse.xyz'
os.environ['TUSHARE_TOKEN'] = 'test_token_123'
# 加载配置
config = load_config('rotation_example.yaml')
print(f"\n✓ 配置加载成功")
print(f" 版本: {config.metadata.version}")
print(f" 策略: {config.metadata.strategy}")
print(f" 资产池: {len(config.asset_pools.equity)} 股票, "
f"{len(config.asset_pools.commodity)} 商品, "
f"{len(config.asset_pools.fixed_income)} 债券")
# 验证基本字段
assert config.metadata.version == "1.0.0"
assert config.factor.n_days == 25
assert config.rotation.select_num == 3
print("\n✓ 测试通过")
def test_asset_pools():
"""测试 2: 资产池配置"""
print("\n" + "=" * 70)
print(" 测试 2: 资产池配置")
print("=" * 70)
config = load_config('rotation_example.yaml')
# 验证股票资产
print(f"\n股票资产 ({len(config.asset_pools.equity)} 只):")
for code, asset in config.asset_pools.equity.items():
print(f" {code}: {asset.name} ({asset.market.value})")
if asset.etf:
print(f" ETF: {asset.etf}")
# 验证商品资产
print(f"\n商品资产 ({len(config.asset_pools.commodity)} 只):")
for code, asset in config.asset_pools.commodity.items():
print(f" {code}: {asset.name}")
# 验证固定收益
print(f"\n固定收益 ({len(config.asset_pools.fixed_income)} 只):")
for code, asset in config.asset_pools.fixed_income.items():
print(f" {code}: {asset.name} (ETF: {asset.etf})")
# 验证市场类型
assert config.asset_pools.equity["399006.SZ"].market == MarketType.CN_EQUITY
assert config.asset_pools.equity["NDX"].market == MarketType.US_EQUITY
assert config.asset_pools.commodity["GC=F"].market == MarketType.COMMODITY
print("\n✓ 测试通过")
def test_threshold_config():
"""测试 3: 阈值配置"""
print("\n" + "=" * 70)
print(" 测试 3: 阈值配置")
print("=" * 70)
config = load_config('rotation_example.yaml')
print(f"\n阈值模式: {config.rotation.threshold.mode}")
print(f" 参考标的: {config.rotation.threshold.dynamic.reference}")
print(f" 倍数: {config.rotation.threshold.dynamic.ratio}")
print(f" 回退启用: {config.rotation.threshold.dynamic.fallback_enabled}")
assert config.rotation.threshold.mode.value == "dynamic"
assert config.rotation.threshold.dynamic.reference == "931862.CSI"
print("\n✓ 测试通过")
def test_data_sources():
"""测试 4: 数据源配置"""
print("\n" + "=" * 70)
print(" 测试 4: 数据源配置")
print("=" * 70)
config = load_config('rotation_example.yaml')
print(f"\n数据源 ({len(config.data.sources)} 个):")
for i, source in enumerate(config.data.sources, 1):
print(f" {i}. {source.type.value}")
print(f" 启用: {source.enabled}")
print(f" 超时: {source.timeout}s")
if source.url:
print(f" URL: {source.url}")
# 验证环境变量替换
flask_api_source = config.data.sources[0]
assert flask_api_source.url == 'https://k3s.tokenpluse.xyz'
print("\n✓ 测试通过")
def test_validation_errors():
"""测试 5: 验证错误处理"""
print("\n" + "=" * 70)
print(" 测试 5: 验证错误处理")
print("=" * 70)
# 测试 1: n_days 超出范围
print("\n[5.1] 测试 n_days 超出范围...")
try:
from framework_v2.config.schemas import FactorConfig
# n_days = 1000超出 5-250 范围)
invalid_config = {
"asset_pools": {"equity": {}, "commodity": {}, "fixed_income": {}},
"benchmark": {"code": "000300.SH", "name": "沪深300"},
"backtest": {"start_date": "2020-01-01"},
"factor": {"n_days": 1000}, # 错误:超出范围
"data": {
"sources": [{"type": "flask_api", "url": "test"}]
}
}
RotationStrategyConfig(**invalid_config)
print(" ✗ 应该抛出验证错误")
assert False
except Exception as e:
print(f" ✓ 正确捕获验证错误: {type(e).__name__}")
# 测试 2: 缺少必需字段
print("\n[5.2] 测试缺少必需字段...")
try:
invalid_config = {
"asset_pools": {"equity": {}, "commodity": {}, "fixed_income": {}},
# 缺少 benchmark
"backtest": {"start_date": "2020-01-01"},
"data": {
"sources": [{"type": "flask_api", "url": "test"}]
}
}
RotationStrategyConfig(**invalid_config)
print(" ✗ 应该抛出验证错误")
assert False
except Exception as e:
print(f" ✓ 正确捕获验证错误: {type(e).__name__}")
# 测试 3: 环境变量未设置
print("\n[5.3] 测试环境变量未设置...")
try:
# 删除环境变量
old_value = os.environ.pop('FLASK_API_URL', None)
invalid_config = {
"asset_pools": {"equity": {}, "commodity": {}, "fixed_income": {}},
"benchmark": {"code": "000300.SH", "name": "沪深300"},
"backtest": {"start_date": "2020-01-01"},
"data": {
"sources": [{"type": "flask_api", "url": "${FLASK_API_URL}"}]
}
}
RotationStrategyConfig(**invalid_config)
print(" ✗ 应该抛出验证错误")
assert False
except ValueError as e:
print(f" ✓ 正确捕获环境变量错误: {e}")
finally:
# 恢复环境变量
if old_value:
os.environ['FLASK_API_URL'] = old_value
print("\n✓ 测试通过")
def test_env_substitution():
"""测试 6: 环境变量替换"""
print("\n" + "=" * 70)
print(" 测试 6: 环境变量替换")
print("=" * 70)
loader = ConfigLoader()
# 测试 1: 基本替换
print("\n[6.1] 基本替换...")
os.environ['TEST_VAR'] = 'test_value'
config = {
"url": "${TEST_VAR}"
}
result = loader._substitute_env_vars(config)
assert result["url"] == "test_value"
print(f" ✓ ${{TEST_VAR}}{result['url']}")
# 测试 2: 默认值
print("\n[6.2] 默认值...")
config = {
"url": "${NON_EXISTENT_VAR:default_value}"
}
result = loader._substitute_env_vars(config)
assert result["url"] == "default_value"
print(f" ${{NON_EXISTENT_VAR:default_value}}{result['url']}")
# 测试 3: 嵌套结构
print("\n[6.3] 嵌套结构...")
os.environ['API_URL'] = 'https://api.example.com'
config = {
"data": {
"sources": [
{"url": "${API_URL}"}
]
}
}
result = loader._substitute_env_vars(config)
assert result["data"]["sources"][0]["url"] == "https://api.example.com"
print(f" ✓ 嵌套替换成功")
print("\n✓ 测试通过")
if __name__ == "__main__":
print("\n" + "=" * 70)
print(" 配置加载和验证测试")
print("=" * 70)
tests = [
("加载配置文件", test_load_config),
("资产池配置", test_asset_pools),
("阈值配置", test_threshold_config),
("数据源配置", test_data_sources),
("验证错误处理", test_validation_errors),
("环境变量替换", test_env_substitution),
]
passed = 0
failed = 0
for name, test_func in tests:
try:
test_func()
passed += 1
except Exception as e:
print(f"\n✗ 测试失败: {name}")
print(f" 错误: {e}")
import traceback
traceback.print_exc()
failed += 1
print("\n" + "=" * 70)
print(" 测试总结")
print("=" * 70)
print(f" ✓ 通过 - {passed}")
if failed > 0:
print(f" ✗ 失败 - {failed}")
print(f"\n总计: {passed}/{passed + failed} 通过")
print("=" * 70 + "\n")
if failed > 0:
sys.exit(1)

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"""
测试扁平化资产池配置
验证:
1. 扁平化配置加载
2. 按市场分组
3. 信号/交易标的获取
4. 跨市场映射
"""
import sys
from pathlib import Path
import os
# 添加项目根目录到路径
project_root = Path(__file__).parent.parent
if str(project_root) not in sys.path:
sys.path.insert(0, str(project_root))
from framework_v2.config import load_config
from framework_v2.config.schemas import GroupConfig
def test_flat_config_load():
"""测试 1: 加载扁平化配置"""
print("\n" + "=" * 70)
print(" 测试 1: 加载扁平化配置")
print("=" * 70)
# 设置环境变量
os.environ['FLASK_API_URL'] = 'https://k3s.tokenpluse.xyz'
os.environ['TUSHARE_TOKEN'] = 'test_token'
# 加载配置
config = load_config('rotation_global.yaml')
print(f"\n✓ 配置加载成功")
print(f" 版本: {config.metadata.version}")
print(f" 策略: {config.metadata.strategy}")
print(f" 总标的数: {config.asset_pools.count()}")
# 验证基本字段
assert config.metadata.version == "2.0.0"
assert config.asset_pools.count() == 13 # 12 个标的
print("\n✓ 测试通过")
def test_market_grouping():
"""测试 2: 按市场分组"""
print("\n" + "=" * 70)
print(" 测试 2: 按市场分组")
print("=" * 70)
config = load_config('rotation_global.yaml')
# 获取所有市场
markets = config.asset_pools.groups
print(f"\n市场类型 ({len(markets)} 个):")
for market in markets:
count = config.asset_pools.count(market)
print(f" {market}: {count}")
# 按市场分组
by_group = config.asset_pools.by_group
print(f"\n市场分组:")
for market, assets in by_group.items():
print(f"\n {market} ({len(assets)} 只):")
for code, asset in assets.items():
print(f" {code}: {asset.name}")
# 验证市场数量
assert len(markets) == 7 # US_TECH, CN_GROWTH, JP_BROAD, EU_BROAD, HK_TECH, COMMODITY, FIXED_INCOME # US_EQUITY, CN_EQUITY, JP_EQUITY, EU_EQUITY, HK_EQUITY, COMMODITY, FIXED_INCOME
assert config.asset_pools.count('US_TECH') == 2
assert config.asset_pools.count('CN_GROWTH') == 3
assert config.asset_pools.count('COMMODITY') == 3
assert config.asset_pools.count('FIXED_INCOME') == 1
print("\n✓ 测试通过")
def test_signal_trade_codes():
"""测试 3: 信号和交易标的"""
print("\n" + "=" * 70)
print(" 测试 3: 信号和交易标的")
print("=" * 70)
config = load_config('rotation_global.yaml')
# 获取所有信号标的
signal_codes = config.asset_pools.get_signal_codes()
print(f"\n信号标的 (13 个):")
for code in signal_codes:
print(f" {code}")
# 获取所有交易标的
trade_codes = config.asset_pools.get_trade_codes()
print(f"\n交易标的 (13 个):")
for code in trade_codes:
print(f" {code}")
# 获取特定市场的信号标的
us_signals = config.asset_pools.get_signal_codes('US_TECH')
print(f"\n美股信号标的: {us_signals}")
# 验证
assert len(signal_codes) == 13
assert len(trade_codes) == 13
assert 'NDX' in signal_codes
assert '513100.SH' in trade_codes
assert len(us_signals) == 2
print("\n✓ 测试通过")
def test_signal_to_trade_mapping():
"""测试 4: 信号→交易映射"""
print("\n" + "=" * 70)
print(" 测试 4: 信号→交易映射")
print("=" * 70)
config = load_config('rotation_global.yaml')
# 获取映射
mapping = config.asset_pools.get_signal_to_trade_mapping()
print(f"\n信号→交易映射:")
for signal, trade in mapping.items():
asset = config.asset_pools.assets.get(signal)
cross_market = "" if asset.signal_source == asset.trade_source else ""
print(f" {cross_market} {signal}{trade}")
# 验证跨市场标的
print(f"\n跨市场标的:")
for code, asset in config.asset_pools.assets.items():
if asset.is_cross_market:
print(f" {code}: {asset.signal_source}{asset.trade_source}")
# 验证映射
assert mapping['NDX'] == '513100.SH'
assert mapping['399006.SZ'] == '159915.SZ'
assert mapping['GC=F'] == '518880.SH'
assert mapping['931862.CSI'] == '931862.CSI' # 非跨市场
# 验证跨市场属性
assert config.asset_pools.assets['NDX'].is_cross_market == True
assert config.asset_pools.assets['931862.CSI'].is_cross_market == False
print("\n✓ 测试通过")
def test_market_specific_mapping():
"""测试 5: 特定市场映射"""
print("\n" + "=" * 70)
print(" 测试 5: 特定市场映射")
print("=" * 70)
config = load_config('rotation_global.yaml')
# 获取美股映射
us_mapping = config.asset_pools.get_signal_to_trade_mapping('US_TECH')
print(f"\n美股映射:")
for signal, trade in us_mapping.items():
print(f" {signal}{trade}")
# 获取商品映射
commodity_mapping = config.asset_pools.get_signal_to_trade_mapping('COMMODITY')
print(f"\n商品映射:")
for signal, trade in commodity_mapping.items():
print(f" {signal}{trade}")
# 验证
assert len(us_mapping) == 2
assert len(commodity_mapping) == 3
assert us_mapping['NDX'] == '513100.SH'
assert commodity_mapping['GC=F'] == '518880.SH'
print("\n✓ 测试通过")
def test_diversification_config():
"""测试 6: 分散化配置"""
print("\n" + "=" * 70)
print(" 测试 6: 分散化配置")
print("=" * 70)
config = load_config('rotation_global.yaml')
print(f"\n轮动配置:")
print(f" 选股数量: {config.rotation.select_num}")
print(f" 分散化: {config.rotation.diversified}")
print(f" 分散化分组: {config.rotation.diversification_groups}")
# 验证默认配置(全局模式)
assert config.rotation.select_num == 5
assert config.rotation.diversified == False
assert config.rotation.diversification_groups is None
print("\n✓ 测试通过")
def test_asset_config_details():
"""测试 7: 标的配置详情"""
print("\n" + "=" * 70)
print(" 测试 7: 标的配置详情")
print("=" * 70)
config = load_config('rotation_global.yaml')
# 检查纳指配置
ndx = config.asset_pools.assets['NDX']
print(f"\n纳指100 配置:")
print(f" 名称: {ndx.name}")
print(f" 市场: {ndx.group}")
print(f" 信号来源: {ndx.signal_source}")
print(f" 交易来源: {ndx.trade_source}")
print(f" 跨市场: {ndx.is_cross_market}")
print(f" 描述: {ndx.description}")
# 检查短债配置
bond = config.asset_pools.assets['931862.CSI']
print(f"\n短债指数 配置:")
print(f" 名称: {bond.name}")
print(f" 市场: {bond.group}")
print(f" 信号来源: {bond.signal_source}")
print(f" 交易来源: {bond.trade_source}")
print(f" 跨市场: {bond.is_cross_market}")
# 验证
assert ndx.name == "纳指100"
assert ndx.group == 'US_TECH'
assert ndx.signal_source == "NDX"
assert ndx.trade_source == "513100.SH"
assert ndx.is_cross_market == True
assert bond.signal_source == bond.trade_source
assert bond.is_cross_market == False
print("\n✓ 测试通过")
if __name__ == "__main__":
print("\n" + "=" * 70)
print(" 扁平化资产池配置测试")
print("=" * 70)
tests = [
("加载扁平化配置", test_flat_config_load),
("按市场分组", test_market_grouping),
("信号和交易标的", test_signal_trade_codes),
("信号→交易映射", test_signal_to_trade_mapping),
("特定市场映射", test_market_specific_mapping),
("分散化配置", test_diversification_config),
("标的配置详情", test_asset_config_details),
]
passed = 0
failed = 0
for name, test_func in tests:
try:
test_func()
passed += 1
except Exception as e:
print(f"\n✗ 测试失败: {name}")
print(f" 错误: {e}")
import traceback
traceback.print_exc()
failed += 1
print("\n" + "=" * 70)
print(" 测试总结")
print("=" * 70)
print(f" ✓ 通过 - {passed}")
if failed > 0:
print(f" ✗ 失败 - {failed}")
print(f"\n总计: {passed}/{passed + failed} 通过")
print("=" * 70 + "\n")
if failed > 0:
sys.exit(1)

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@@ -0,0 +1,128 @@
"""
测试简单轮动策略
验证完整流程:
1. 配置加载
2. 策略初始化
3. 数据获取
4. 因子计算
5. 信号生成
6. 回测执行
"""
import sys
from pathlib import Path
import os
# 添加项目根目录到路径
project_root = Path(__file__).parent.parent
if str(project_root) not in sys.path:
sys.path.insert(0, str(project_root))
from framework_v2.config import load_config
from framework_v2.strategies.rotation.simple import SimpleRotationStrategy
def test_simple_rotation():
"""测试简单轮动策略完整流程"""
print("\n" + "=" * 70)
print(" 简单轮动策略端到端测试")
print("=" * 70)
# 设置环境变量
os.environ['FLASK_API_URL'] = 'https://k3s.tokenpluse.xyz'
# 1. 加载配置
print("\n[1/6] 加载配置...")
config_path = Path(__file__).parent.parent / 'strategies' / 'rotation' / 'config_simple.yaml'
config = load_config(str(config_path))
print(f" ✓ 配置加载成功")
print(f" 策略: {config.metadata.strategy}")
print(f" 标的: {list(config.asset_pools.equity.keys())}")
print(f" 回测: {config.backtest.start_date} ~ {config.backtest.end_date}")
# 2. 初始化策略
print("\n[2/6] 初始化策略...")
strategy = SimpleRotationStrategy(config)
print(f" ✓ 策略初始化成功")
print(f" 名称: {strategy.name}")
print(f" 动量窗口: {config.factor.n_days}")
print(f" 选股数量: {strategy.select_num}")
# 3. 获取数据
print("\n[3/6] 获取数据...")
codes = strategy.get_codes()
print(f" 标的列表: {codes}")
data = strategy.get_data()
print(f" ✓ 获取 {len(data)} 个标的")
for code, df in data.items():
print(f" {code}: {len(df)} 天 ({df.index[0].date()} ~ {df.index[-1].date()})")
# 4. 计算因子
print("\n[4/6] 计算因子...")
factors = strategy.compute_factors(data)
print(f" ✓ 计算 {len(factors)} 个因子")
for code, factor in factors.items():
print(f" {code}: {len(factor)} 值, 范围 [{factor.min():.4f}, {factor.max():.4f}]")
# 5. 生成信号
print("\n[5/6] 生成信号...")
signals = strategy.generate_signals(factors)
n_signals = signals.sum().sum()
print(f" ✓ 生成 {signals.shape[0]} 个交易日信号")
print(f" 总信号数: {n_signals}")
print(f" 平均每日持仓: {signals.mean().mean():.2%}")
# 6. 仓位管理
print("\n[6/6] 仓位管理...")
positions = strategy.manage_positions(signals)
print(f" ✓ 仓位分配完成")
print(f" 权重和: {positions.sum(axis=1).mean():.2%}")
# 7. 执行回测
print("\n执行回测...")
result = strategy._execute_backtest(positions, data)
# 打印结果
print("\n" + "=" * 70)
print(" 回测结果")
print("=" * 70)
metrics = result['metrics']
print(f"\n 总收益率: {metrics['total_return']:.2%}")
print(f" 年化收益: {metrics['annual_return']:.2%}")
print(f" 最大回撤: {metrics['max_drawdown']:.2%}")
print(f" 夏普比率: {metrics['sharpe_ratio']:.2f}")
print(f" 交易天数: {metrics['n_days']}")
# 验证结果
print("\n" + "=" * 70)
print(" 验证")
print("=" * 70)
assert metrics['total_return'] != 0, "总收益率不应为 0"
print(" ✓ 总收益率有效")
assert len(result['equity_curve']) > 0, "净值曲线不应为空"
print(" ✓ 净值曲线有效")
assert positions.sum(axis=1).max() <= 1.01, "权重和不应超过 100%"
print(" ✓ 仓位权重有效")
print("\n" + "=" * 70)
print(" ✓ 所有测试通过")
print("=" * 70 + "\n")
return result
if __name__ == "__main__":
try:
result = test_simple_rotation()
except Exception as e:
print(f"\n✗ 测试失败: {e}")
import traceback
traceback.print_exc()
sys.exit(1)