张胜宇
e239eb778b
1) 客服 Agent 四份交付文档 + 构建脚手架：品牌由包装占位 XX科技 / 旧名 南方财富 统一为南方基金（热线 400-889-8899 / 官网 nffund.com），系统名改为「智能服务系统」； 同步追加 §0.4 修订记录行，工程记录行保留原占位字面以支撑硬编码扫描验收。 2) 开发文档：清理 28 份已作废/残留文档（14 份移出归档 + 14 份仓库副本）， 新增《文档规整方案与开发前待决事项-2026-09-17》。 3) 客服agent 四份交付文档首次纳入本分支。
49 lines
1.5 KiB
Python
49 lines
1.5 KiB
Python
"""Repeatable local baseline for the in-process governance path."""
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import asyncio
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import statistics
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import time
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from dataclasses import dataclass, asdict
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from app.core.contracts import AgentDefinition, AgentRequest, CoreResult, RequestContext
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from app.service.agent.base import BaseAgent
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class BenchmarkAgent(BaseAgent):
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async def handle(self, request: AgentRequest, context: RequestContext) -> CoreResult:
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del context
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return CoreResult(text=request.message)
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@dataclass(frozen=True)
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class Baseline:
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iterations: int
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p50_ms: float
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p95_ms: float
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max_ms: float
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async def run(iterations: int = 200) -> Baseline:
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agent = BenchmarkAgent(AgentDefinition(agent_type="benchmark", version="1"))
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request = AgentRequest(
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agent_type="benchmark", message="ping", session_id="benchmark",
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idempotency_key="benchmark-key-0001",
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)
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context = RequestContext(user_id="1", trace_id="benchmark")
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samples: list[float] = []
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for index in range(iterations):
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started = time.perf_counter()
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async for _ in agent.execute(request, context, f"run-{index}"):
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pass
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samples.append((time.perf_counter() - started) * 1000)
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ordered = sorted(samples)
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return Baseline(
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iterations=iterations,
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p50_ms=statistics.median(ordered),
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p95_ms=ordered[min(len(ordered) - 1, int(len(ordered) * 0.95))],
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max_ms=max(ordered),
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)
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if __name__ == "__main__":
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print(asdict(asyncio.run(run())))
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