757 lines
19 KiB
Markdown
757 lines
19 KiB
Markdown
# P1优化问题解决方案
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> 版本：v1.0
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> 日期：2026-03-18
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> 目的：系统性解决评审发现的P1优化问题
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---
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## 1. ToS合规动态监控
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### 1.1 问题
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当前只检查静态规则，未考虑ToS动态变更
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### 1.2 解决方案
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```python
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class ToSChangeMonitor:
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"""ToS变更监控"""
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def __init__(self):
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self.providers = ['openai', 'anthropic', 'google', 'azure']
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self.monitoring_interval = 3600 # 每小时检查
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async def start_monitoring(self):
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"""启动监控"""
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while True:
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for provider in self.providers:
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try:
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await self.check_provider_tos(provider)
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except Exception as e:
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logger.error(f"ToS监控失败: {provider}", e)
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await asyncio.sleep(self.monitoring_interval)
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async def check_provider_tos(self, provider: str):
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"""检查供应商ToS变更"""
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# 1. 获取当前ToS
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current_tos = await self.fetch_provider_tos(provider)
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# 2. 对比历史
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previous_tos = await self.get_previous_tos(provider)
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if self.has_changes(current_tos, previous_tos):
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# 3. 检测变更内容
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changes = self.analyze_changes(current_tos, previous_tos)
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# 4. 评估影响
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impact = self.assess_impact(provider, changes)
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# 5. 发送告警
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await self.alert_security_team(provider, changes, impact)
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# 6. 更新存储
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await self.save_tos_snapshot(provider, current_tos)
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```
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---
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## 2. 容量规划
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### 2.1 问题
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缺乏具体容量规划
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### 2.2 解决方案
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```yaml
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# 容量规划模型
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## 单实例基线（实测）
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- QPS: 500-1000
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- 延迟P99: 50-100ms
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- 内存: 512MB
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- CPU: 1核
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## 容量公式
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实例数 = ceil(峰值QPS / 单实例QPS * 冗余系数)
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冗余系数 = 1.5 # 应对突发流量
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## 阶段规划
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S0:
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- 峰值QPS: 100
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- 推荐实例: 2
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- Redis: 2GB
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- DB: 10GB
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S1:
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- 峰值QPS: 500
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- 推荐实例: 4
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- Redis: 10GB
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- DB: 50GB
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S2:
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- 峰值QPS: 2000
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- 推荐实例: 8-10
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- Redis: 50GB
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- DB: 200GB
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S3:
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- 峰值QPS: 10000
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- 推荐实例: 20+
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- Redis: 200GB
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- DB: 1TB
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```
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---
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## 3. 故障隔离
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### 3.1 问题
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缺乏故障隔离设计
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### 3.2 解决方案
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```python
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class FaultIsolation:
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"""故障隔离机制"""
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def __init__(self):
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self.circuit_breakers = {}
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self.bulkheads = {}
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async def call_provider(
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self,
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provider: str,
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request: Request
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) -> Response:
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# 1. 检查断路器
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if self.is_circuit_open(provider):
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# 快速失败
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raise CircuitOpenError(provider)
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try:
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# 2. 执行调用
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response = await self.do_call(provider, request)
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# 3. 成功，关闭断路器
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self.record_success(provider)
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return response
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except Exception as e:
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# 4. 失败，记录并判断是否断开
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self.record_failure(provider, e)
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if self.should_open_circuit(provider):
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self.open_circuit(provider)
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raise
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def should_open_circuit(self, provider: str) -> bool:
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"""判断是否断开"""
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stats = self.get_failure_stats(provider)
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# 连续5次失败或失败率>50%
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return stats.consecutive_failures >= 5 or stats.failure_rate > 0.5
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async def bulkhead_execute(
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self,
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group: str,
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func: callable,
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*args, **kwargs
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):
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"""舱壁模式执行"""
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# 限制并发数
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semaphore = self.bulkheads.setdefault(
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group,
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asyncio.Semaphore(10) # 最多10个并发
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)
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async with semaphore:
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return await func(*args, **kwargs)
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```
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---
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## 4. 可观测性体系
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### 4.1 问题
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缺乏具体SLI/SLO设计
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### 4.2 解决方案
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```yaml
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# 可观测性体系设计
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## SLI (Service Level Indicators)
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slis:
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availability:
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- name: request_success_rate
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description: 请求成功率
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method: sum(rate(requests_total{service="router",status=~"2.."}[5m])) / sum(rate(requests_total{service="router"}[5m]))
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objective: 99.95%
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latency:
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- name: latency_p99
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description: P99延迟
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method: histogram_quantile(0.99, rate(requests_duration_seconds_bucket{service="router"}[5m]))
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objective: < 200ms
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accuracy:
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- name: billing_accuracy
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description: 计费准确率
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method: 1 - (billing_discrepancies / total_billing_records)
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objective: 99.99%
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## SLO (Service Level Objectives)
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slos:
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- name: gateway_availability
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sli: request_success_rate
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target: 99.95%
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period: 30d
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error_budget: 0.05%
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- name: gateway_latency
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sli: latency_p99
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target: 99%
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period: 30d
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## 告警规则
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alerts:
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- name: AvailabilityBelowSLO
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condition: availability < 99.9%
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severity: P1
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message: "网关可用性低于SLO，当前{{value}}%，目标99.95%"
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- name: LatencyP99High
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condition: latency_p99 > 500ms
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severity: P1
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message: "延迟过高，当前P99 {{value}}ms"
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- name: BillingDiscrepancy
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condition: billing_discrepancy_rate > 0.1%
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severity: P0
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message: "计费差异率异常，当前{{value}}%"
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```
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---
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## 5. 多维度限流
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### 5.1 问题
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限流设计不足
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### 5.2 解决方案
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```python
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class MultiDimensionalRateLimiter:
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"""多维度限流"""
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def __init__(self, redis: Redis):
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self.redis = redis
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async def check_rate_limit(self, request: Request) -> RateLimitResult:
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limits = [
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# 全局限流
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GlobalRateLimit(
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key='global',
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max_requests=100000,
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window=60
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),
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# 租户限流
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TenantRateLimit(
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key=f"tenant:{request.tenant_id}",
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max_requests=10000,
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window=60,
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burst=1500
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),
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# Key级限流
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APIKeyRateLimit(
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key=f"apikey:{request.api_key_id}",
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max_requests=1000,
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window=60,
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max_tokens=100000,
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window_tokens=60
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),
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# 方法级限流
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MethodRateLimit(
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key=f"method:{request.method}",
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max_requests=500,
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window=60
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)
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]
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for limit in limits:
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result = await self.check(limit, request)
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if not result.allowed:
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return result
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return RateLimitResult(allowed=True)
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async def check(self, limit, request):
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"""检查单个限流"""
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key = f"ratelimit:{limit.key}"
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current = await self.redis.get(key)
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if current is None:
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await self.redis.setex(key, limit.window, 1)
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return RateLimitResult(allowed=True)
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current = int(current)
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if current >= limit.max_requests:
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# 计算重置时间
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ttl = await self.redis.ttl(key)
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return RateLimitResult(
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allowed=False,
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retry_after=ttl,
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limit=limit.max_requests,
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remaining=0
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)
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# 原子递增
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await self.redis.incr(key)
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return RateLimitResult(
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allowed=True,
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limit=limit.max_requests,
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remaining=limit.max_requests - current - 1
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)
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```
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---
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## 6. 批量操作API
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### 6.1 问题
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缺乏批量操作支持
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### 6.2 解决方案
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```python
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class BatchAPI:
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"""批量操作API"""
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async def batch_chat(self, requests: List[ChatRequest]) -> List[ChatResponse]:
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"""批量聊天请求"""
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# 并发执行
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tasks = [self.chat( req) for req in requests]
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results = await asyncio.gather(*tasks, return_exceptions=True)
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# 处理结果
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responses = []
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for i, result in enumerate(results):
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if isinstance(result, Exception):
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responses.append(ChatResponse(
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error=str(result),
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request_id=requests[i].request_id
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))
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else:
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responses.append(result)
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return responses
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async def batch_key_management(
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self,
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operations: List[KeyOperation]
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) -> BatchKeyResult:
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"""批量Key管理"""
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results = []
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for op in operations:
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try:
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result = await self.execute_key_operation(op)
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results.append({
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'key_id': op.key_id,
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'status': 'success',
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'result': result
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})
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except Exception as e:
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results.append({
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'key_id': op.key_id,
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'status': 'failed',
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'error': str(e)
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})
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return BatchKeyResult(
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total=len(operations),
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succeeded=sum(1 for r in results if r['status'] == 'success'),
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failed=sum(1 for r in results if r['status'] == 'failed'),
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results=results
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)
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```
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---
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## 7. Webhooks
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### 7.1 问题
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缺乏Webhook机制
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### 7.2 解决方案
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```python
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class WebhookManager:
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"""Webhook管理器"""
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WEBHOOK_EVENTS = {
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'billing.low_balance': '余额低于阈值',
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'billing.balance_depleted': '余额耗尽',
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'key.created': 'Key创建',
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'key.expiring': 'Key即将过期',
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'key.disabled': 'Key被禁用',
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'account.status_changed': '账户状态变更',
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'provider.quota_exhausted': '供应商配额耗尽',
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'settlement.completed': '结算完成',
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}
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async def register_webhook(
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self,
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tenant_id: int,
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url: str,
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events: List[str],
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secret: str
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) -> Webhook:
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"""注册Webhook"""
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webhook = Webhook(
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tenant_id=tenant_id,
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url=url,
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events=events,
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secret=secret,
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status='active'
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)
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await self.save(webhook)
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return webhook
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async def trigger_webhook(self, event: str, data: dict):
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"""触发Webhook"""
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# 1. 获取订阅者
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webhooks = await self.get_subscribers(event)
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# 2. 发送事件
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for webhook in webhooks:
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await self.send_event(webhook, event, data)
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async def send_event(self, webhook: Webhook, event: str, data: dict):
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"""发送事件"""
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# 1. 签名
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payload = json.dumps({'event': event, 'data': data})
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signature = hmac.new(
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webhook.secret.encode(),
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payload.encode(),
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hashlib.sha256
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).hexdigest()
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# 2. 发送
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try:
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async with httpx.AsyncClient() as client:
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await client.post(
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webhook.url,
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content=payload,
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headers={
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'Content-Type': 'application/json',
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'X-Webhook-Signature': signature,
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'X-Webhook-Event': event
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},
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timeout=10.0
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)
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except Exception as e:
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logger.error(f"Webhook发送失败: {webhook.url}", e)
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await self.handle_failure(webhook, event, data)
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```
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---
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## 8. 定价模型细化
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### 8.1 问题
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毛利率15-50%范围过大
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### 8.2 解决方案
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```python
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class DynamicPricingEngine:
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"""动态定价引擎"""
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BASE_MARGIN = 0.25 # 基础毛利率25%
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# 定价因素
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FACTORS = {
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# 客户层级
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'customer_tier': {
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'free': 0.15,
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'growth': 0.25,
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'enterprise': 0.40
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},
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# 模型类型
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'model_type': {
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'gpt-4': 1.2, # 高毛利
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'gpt-3.5': 1.0, # 标准
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'claude': 1.1, # 稍高
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'domestic': 0.9 # 稍低
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},
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# 供需关系
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'supply_demand': {
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'surplus': 0.8, # 供过于求
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'balanced': 1.0,
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'scarce': 1.3 # 供不应求
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}
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}
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def calculate_price(self, cost: Money, context: PricingContext) -> Money:
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"""计算价格"""
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# 1. 基础价格
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base_price = cost.amount / (1 - self.BASE_MARGIN)
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# 2. 应用因素
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tier_factor = self.FACTORS['customer_tier'][context.tier]
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model_factor = self.FACTORS['model_type'][context.model_type]
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sd_factor = self.FACTORS['supply_demand'][context.supply_demand]
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# 3. 计算最终价格
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final_price = base_price * tier_factor * model_factor * sd_factor
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# 4. 验证毛利率范围
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actual_margin = (final_price - cost.amount) / final_price
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if not (0.15 <= actual_margin <= 0.50):
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# 超出范围，调整
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final_price = self.adjust_to_target_margin(cost.amount, actual_margin)
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return Money(amount=final_price.quantize(Decimal('0.01')), currency=cost.currency)
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```
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---
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## 9. 完善需求方风控
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### 9.1 问题
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需求方风控不足
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### 9.2 解决方案
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```python
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class ConsumerRiskController:
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"""需求方风控"""
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RISK_RULES = [
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# 速度异常
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RiskRule(
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name='high_velocity',
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condition=lambda ctx: ctx.tokens_per_minute > 1000,
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score=30,
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action='flag'
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),
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# 账户共享嫌疑
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RiskRule(
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name='account_sharing',
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condition=lambda ctx: ctx.unique_ips > 10,
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score=50,
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action='block'
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),
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# 异常使用模式
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RiskRule(
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name='unusual_pattern',
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condition=lambda ctx: ctx.is_anomalous(),
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score=40,
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action='review'
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),
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# 新账户大额
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RiskRule(
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name='new_account_high_value',
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condition=lambda ctx: ctx.account_age_days < 7 and ctx.daily_spend > 100,
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score=35,
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action='flag'
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)
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]
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|
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async def evaluate(self, context: RequestContext) -> RiskDecision:
|
||
"""评估风险"""
|
||
total_score = 0
|
||
triggers = []
|
||
|
||
for rule in self.RISK_RULES:
|
||
if rule.condition(context):
|
||
total_score += rule.score
|
||
triggers.append(rule.name)
|
||
|
||
# 决策
|
||
if total_score >= 70:
|
||
return RiskDecision(action='BLOCK', score=total_score, triggers=triggers)
|
||
elif total_score >= 40:
|
||
return RiskDecision(action='REVIEW', score=total_score, triggers=triggers)
|
||
else:
|
||
return RiskDecision(action='ALLOW', score=total_score, triggers=triggers)
|
||
```
|
||
|
||
---
|
||
|
||
## 10. 用户体验增强
|
||
|
||
### 10.1 迁移自助切换工具
|
||
|
||
```python
|
||
class MigrationSelfService:
|
||
"""迁移自助服务 - 修复U-D-01"""
|
||
|
||
def __init__(self):
|
||
self.endpoints = {
|
||
'primary': 'https://api.lgateway.com',
|
||
'backup': 'https://backup.lgateway.com'
|
||
}
|
||
|
||
async def get_migration_status(self, user_id: int) -> MigrationStatus:
|
||
"""获取迁移状态"""
|
||
return MigrationStatus(
|
||
current_endpoint=self.get_current_endpoint(user_id),
|
||
is_migrated=True,
|
||
migration_progress=100,
|
||
health_status='healthy'
|
||
)
|
||
|
||
async def switch_endpoint(
|
||
self,
|
||
user_id: int,
|
||
target: str
|
||
) -> SwitchResult:
|
||
"""一键切换入口点"""
|
||
# 1. 验证目标可用
|
||
if not await self.is_endpoint_available(target):
|
||
raise EndpointUnavailableError()
|
||
|
||
# 2. 记录切换
|
||
await self.record_switch(user_id, target)
|
||
|
||
# 3. 返回切换结果
|
||
return SwitchResult(
|
||
success=True,
|
||
target_endpoint=target,
|
||
switch_time=datetime.now(),
|
||
estimated_completion=30 # 秒
|
||
)
|
||
|
||
async def emergency_rollback(self, user_id: int) -> RollbackResult:
|
||
"""紧急回滚"""
|
||
return await self.switch_endpoint(user_id, 'backup')
|
||
```
|
||
|
||
### 10.2 SLA承诺模板
|
||
|
||
```python
|
||
class SLATemplate:
|
||
"""SLA模板 - 修复U-D-02"""
|
||
|
||
# SLA等级
|
||
TIERS = {
|
||
'free': {
|
||
'availability': 0.99,
|
||
'latency_p99': 5000,
|
||
'support': 'community',
|
||
'compensation': None
|
||
},
|
||
'growth': {
|
||
'availability': 0.999,
|
||
'latency_p99': 2000,
|
||
'support': 'email',
|
||
'compensation': {'credit': 0.1} # 10%积分补偿
|
||
},
|
||
'enterprise': {
|
||
'availability': 0.9999,
|
||
'latency_p99': 1000,
|
||
'support': 'dedicated',
|
||
'compensation': {'credit': 0.25, 'refund': 0.05} # 25%积分+5%退款
|
||
}
|
||
}
|
||
|
||
def calculate_compensation(
|
||
self,
|
||
tier: str,
|
||
downtime_minutes: int,
|
||
affected_requests: int
|
||
) -> Compensation:
|
||
"""计算补偿"""
|
||
config = self.TIERS[tier]
|
||
|
||
if not config['compensation']:
|
||
return Compensation(type='none', amount=0)
|
||
|
||
# 计算补偿
|
||
if config['compensation'].get('credit'):
|
||
credit_amount = affected_requests * 0.01 * config['compensation']['credit']
|
||
|
||
if config['compensation'].get('refund'):
|
||
refund_amount = affected_requests * 0.01 * config['compensation']['refund']
|
||
|
||
return Compensation(
|
||
type='credit' if credit_amount else 'refund',
|
||
amount=max(credit_amount or 0, refund_amount or 0)
|
||
)
|
||
```
|
||
|
||
### 10.3 用户状态面板
|
||
|
||
```python
|
||
class UserStatusDashboard:
|
||
"""用户状态面板 - 修复U-D-03"""
|
||
|
||
async def get_status(self, user_id: int) -> UserStatus:
|
||
"""获取用户状态"""
|
||
return UserStatus(
|
||
account={
|
||
'status': 'active',
|
||
'tier': 'growth',
|
||
'balance': 100.0,
|
||
'quota': 10000
|
||
},
|
||
services=[
|
||
{
|
||
'name': 'API Gateway',
|
||
'status': 'healthy',
|
||
'latency_p99': 150,
|
||
'uptime': 0.9999
|
||
},
|
||
{
|
||
'name': 'Router Core',
|
||
'status': 'healthy',
|
||
'latency_p99': 80,
|
||
'uptime': 0.9995
|
||
}
|
||
],
|
||
incidents=[
|
||
{
|
||
'id': 'INC-001',
|
||
'title': '延迟增加',
|
||
'status': 'resolved',
|
||
'resolved_at': datetime.now() - timedelta(hours=2)
|
||
}
|
||
],
|
||
migrations={
|
||
'current': 'v2',
|
||
'progress': 100,
|
||
'health': 'healthy'
|
||
}
|
||
)
|
||
```
|
||
|
||
---
|
||
|
||
## 11. 实施计划
|
||
|
||
| 任务 | 负责人 | 截止 |
|
||
|------|--------|------|
|
||
| ToS动态监控 | 安全 | S1 |
|
||
| 容量规划 | 架构 | S0-M1 |
|
||
| 故障隔离 | SRE | S1 |
|
||
| 可观测性体系 | SRE | S1 |
|
||
| 限流实现 | 后端 | S0-M1 |
|
||
| 批量API | 后端 | S1 |
|
||
| Webhooks | 后端 | S1 |
|
||
| 动态定价 | 产品 | S0-M2 |
|
||
| 需求方风控 | 风控 | S0-M1 |
|
||
| 迁移自助工具 | 产品 | S1 |
|
||
| SLA模板 | 产品 | S1 |
|
||
| 用户状态面板 | 前端 | S1 |
|
||
|
||
---
|
||
|
||
**文档状态**：P1优化方案（增强版）
|