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selfrelease fad458b2a7 docs(uiux): UIUX 设计方案大改 + 5 份作业指导书对齐 + 开发任务文档
- UIUX 文档:填充 19 个缺口(多主体画像/健康度/AI+看板/增长域/洞察域/创始人端/OODA/助推/商密)
- UIUX 文档:插入 6 个新章节(十四~十九),旧章节重编号为二十~三十一,更新目录和交叉引用
- 作业指导书 x5:导航改为 6 域分组,新增 Context Bar/工作模式/Insight Rail/决策线程/多工作区等 UI 概念
- 新建 docs/2-task-uiux.md:50 个代码落地开发任务,按 P0-P6 分优先级 + 8 Sprint 规划
- 后端/前端:大量新增模型、路由、组件(来自之前 Phase 开发)
2026-07-19 11:53:38 +08:00

98 lines
3.1 KiB
Python

"""T4.3 Monte Carlo 模拟 + 组合再平衡测试。
测试边际回报率计算、组合再平衡和 Monte Carlo 模拟。
"""
import pytest
from app.services.monte_carlo import simulate_portfolio
from app.services.portfolio_rebalancer import (
calculate_marginal_return,
rebalance_portfolio,
run_monte_carlo,
)
class TestCalculateMarginalReturn:
"""边际回报率测试。"""
def test_positive_investment(self):
"""正常投入计算边际回报。"""
result = calculate_marginal_return(1000, 500, 0.2)
assert result > 0
def test_zero_additional(self):
"""追加投入为 0 时返回 0。"""
result = calculate_marginal_return(1000, 0, 0.2)
assert result == 0.0
def test_negative_additional(self):
"""追加投入为负时返回 0。"""
result = calculate_marginal_return(1000, -100, 0.2)
assert result == 0.0
class TestRebalancePortfolio:
"""组合再平衡测试。"""
def test_returns_dict(self):
"""返回再平衡结果。"""
companies = [
{"company_id": "c1", "marginal_return": 0.15},
{"company_id": "c2", "marginal_return": 0.08},
{"company_id": "c3", "marginal_return": 0.20},
{"company_id": "c4", "marginal_return": 0.05},
]
result = rebalance_portfolio(companies)
assert "marginal_returns" in result
assert "reallocation_plan" in result
assert "irr_impact" in result
assert "dpi_impact" in result
def test_top_quartile_increased(self):
"""高回报企业应被增加投入。"""
companies = [
{"company_id": "c1", "marginal_return": 0.05},
{"company_id": "c2", "marginal_return": 0.20},
{"company_id": "c3", "marginal_return": 0.15},
{"company_id": "c4", "marginal_return": 0.01},
]
result = rebalance_portfolio(companies)
increase = result["reallocation_plan"]["increase"]
assert "c2" in increase
class TestRunMonteCarlo:
"""Monte Carlo 模拟测试。"""
def test_with_floats(self):
"""浮点数回报率列表。"""
result = run_monte_carlo([0.1, 0.2, 0.15, 0.05], iterations=100)
assert "irr_distribution" in result
assert "percentile_p5" in result
assert "percentile_p50" in result
assert "percentile_p95" in result
def test_with_dicts(self):
"""字典格式回报率列表。"""
result = run_monte_carlo(
[{"irr": 0.1}, {"irr": 0.2}, {"irr": 0.15}],
iterations=100,
)
assert "irr_distribution" in result
def test_empty_returns(self):
"""空列表返回默认结果。"""
result = run_monte_carlo([], iterations=100)
assert result["percentile_p5"] == 0
assert result["percentile_p50"] == 0
class TestSimulatePortfolio:
"""Monte Carlo 异步接口测试。"""
async def test_simulate(self):
"""异步模拟接口。"""
result = await simulate_portfolio([0.1, 0.2, 0.15], iterations=100)
assert "irr_distribution" in result