一个开关，让你的发布失败率从40%降到0.5%_千锋教育

# 功能开关配置
feature_toggle = {
    "new_payment_ui": {
        "enabled": False,
        "user_percentage": 0,
        "white_list": ["test_user_01", "test_user_02"]
    }
}

# 业务代码中
if feature_toggle["new_payment_ui"]["enabled"]:
    render_new_payment_ui()
else:
    render_old_payment_ui()

# 实现A/B测试的功能开关
def get_user_variant(user_id):
    # 基于用户ID哈希，确保同一用户始终看到同一版本
    hash_value = hash(user_id) % 100
    if hash_value < 10:  # 10%用户进入实验组
        return "variant_b"
    else:
        return "control_a"

# 业务代码中
variant = get_user_variant(user_id)
if variant == "variant_b":
    show_new_checkout_button()
else:
    show_old_checkout_button()

# 渐进式发布配置
gradual_release = {
    "feature_id": "new_recommendation_engine",
    "phases": [
        {"percentage": 1, "duration_hours": 2, "metrics_check": ["error_rate", "latency"]},
        {"percentage": 5, "duration_hours": 4, "metrics_check": ["error_rate", "latency", "conversion"]},
        {"percentage": 20, "duration_hours": 8, "metrics_check": ["error_rate", "latency", "conversion", "retention"]},
        {"percentage": 50, "duration_hours": 12, "metrics_check": ["error_rate", "latency", "conversion", "retention", "revenue"]},
        {"percentage": 100, "duration_hours": 0, "metrics_check": []}
    ]
}

def test_gradual_release_rollback():
    # 模拟5%用户阶段，错误率飙升
    mock_metrics = {"error_rate": 15.0, "threshold": 5.0}
    assert mock_metrics["error_rate"] > mock_metrics["threshold"]
    # 验证自动回滚逻辑触发
    assert trigger_rollback() == True
    # 验证开关状态变更为1%
    assert get_feature_percentage("new_recommendation_engine") == 1

# A/B测试实验设计模板

## 实验名称
[填写]

## 假设
如果[变更]，那么[指标]会[变化方向] [变化幅度]

## 指标
- 主指标：[名称]，[计算方式]
- 次要指标：[名称]，[计算方式]
- 护栏指标：[名称]，[阈值]

## 样本量计算
- 最小可检测效应：5%
- 显著性水平：0.05
- 统计功效：0.8
- 所需样本量：[计算结果]

-- 查询所有功能开关状态
SELECT feature_id, status, created_by, last_modified
FROM feature_toggles
WHERE status != 'archived'
ORDER BY last_modified DESC;

# 基于开关状态的冒烟测试
def test_feature_toggle_smoke():
    # 关闭开关
    toggle_off("new_payment_ui")
    assert payment_works() == True
    assert new_ui_not_shown() == True
    
    # 打开开关
    toggle_on("new_payment_ui")
    assert payment_works() == True
    assert new_ui_shown() == True

# 基于实验数据调整测试优先级
def adjust_test_priority(experiment_data):
    high_risk_modules = []
    for module in experiment_data:
        if module["conversion_variance"] > 0.1:
            high_risk_modules.append(module["name"])
    return high_risk_modules