tzt
44b6fd8b52
- scripts/bench_proxy.py：200 条校园模拟请求生成器（重复>=50%）+ TestClient 内存压测 + h_g/吞吐/P50/P99/账目一致性指标 + CSV+MD 报告入 AI代理功能开发/bench/；--live 桩（CAMPUS_PROXY_KEY 零字面量 + --yes 花费确认 + 50 条子集真实 h_p） - 实测：h_g=100%（L1 精确缓存命中全部重复请求）/P99=23.48ms（预算 50ms）/ 吞吐 205 req/s/无负余额/账目一致 - 全量 423 passed
213 lines
9.3 KiB
Python
213 lines
9.3 KiB
Python
"""E-P1/E-P2 压测与预算管道（T-P8，M3 验收数据源）。
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- 合成 200 条校园模拟请求（同主题重复 + 同义变体 >=50%）打 /proxy/v1；
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- mock 模式（默认）：TestClient 内存压测（假上游由测试环境注入/网关 mock worker）；
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--live：真实网关 + 真实 key（50 条子集；key 只从 env/settings 读取，零字面量；
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启动前打印预估花费提示，需 --yes 确认）；
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- 指标：吞吐、P50/P99 延迟、h_g（账本 cached 占比）、账目一致性
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（无负余额 + Σcharged 与流水一致）；
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- 报告：CSV+MD 入 AI代理功能开发/bench/（gitignore，工作产物不入库）。
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性能预算（M3 验收）：附加 P99 <= 50ms、内存 <= 1GB、账目零不一致。
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"""
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from __future__ import annotations
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import argparse
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import asyncio
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import json
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import statistics
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import sys
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import time
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from pathlib import Path
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ROOT = Path(__file__).resolve().parent.parent
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sys.path.insert(0, str(ROOT))
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if hasattr(sys.stdout, "reconfigure"):
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sys.stdout.reconfigure(encoding="utf-8")
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sys.stderr.reconfigure(encoding="utf-8")
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TOPICS = [
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"解释{n}的概念", "{n}和{m}的区别是什么", "如何入门{n}", "{n}的应用场景有哪些",
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"总结一下{n}的核心要点", "用例子说明{n}", "{n}的常见误区", "为什么要学习{n}",
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"{n}的发展历史简述", "备考{n}需要注意什么",
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]
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SUBJECTS = ["递归", "动态规划", "哈希表", "快速排序", "二分查找", "指针", "进程与线程",
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"TCP 三次握手", "数据库索引", "正则表达式"]
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def build_dataset(n: int = 200) -> list:
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""">=50% 重复：50 条唯一模板句 + 其余为精确重复（缓存命中来源）。"""
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uniq = []
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for i in range(min(50, n)):
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t = TOPICS[i % len(TOPICS)]
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s = SUBJECTS[i % len(SUBJECTS)]
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m = SUBJECTS[(i + 3) % len(SUBJECTS)]
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uniq.append(t.format(n=s, m=m))
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out = []
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for i in range(n):
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out.append(uniq[i % len(uniq)])
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return out
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def run_mock(n: int = 200, concurrency: int = 50, tmp_root: str | None = None) -> dict:
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"""内存压测（TestClient + mock 管线/上游），返回指标 dict。"""
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from fastapi import FastAPI
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from fastapi.testclient import TestClient
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import gateway.model_pool as mp
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from gateway.model_pool import PoolStore
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import gateway.proxy.routes as pr
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from gateway.proxy.config import build_proxy_config
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from gateway.proxy.routes import build_proxy_router, install_error_handlers
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from gateway.proxy.ledger import Ledger
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from gateway.proxy.auth import issue_key
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mp.reset_pool()
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mp._store = PoolStore(path=Path(tmp_root or ".") / "bench_pool.json")
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mp.get_pool().upsert({
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"id": "b1", "name": "mock 云", "tier": "budget", "backend": "openai",
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"base_url": "http://upstream.bench", "model": "deepseek-chat",
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"api_key": "bench", "provider": "deepseek",
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"price_in": 3.0, "price_out": 9.0, "enabled": True})
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import httpx
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import gateway.proxy.upstream as upmod
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SSE = ("\n\n".join([
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'data: {"choices":[{"delta":{"content":"mock"}}]}',
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'data: {"choices":[{"delta":{},"finish_reason":"stop"}],'
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'"usage":{"prompt_tokens":3000,"prompt_cache_hit_tokens":1500,'
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'"completion_tokens":500}}', "data: [DONE]"]) + "\n\n")
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up_client = httpx.AsyncClient(transport=httpx.MockTransport(
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lambda req: httpx.Response(200, content=SSE.encode())))
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upmod._client = up_client
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cfg = build_proxy_config({"proxy": {"enabled": True,
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"db_path": str(Path(tmp_root or ".") / "bench.sqlite3"),
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"semcache": {"enabled": True, "sim_threshold": 0.92,
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"max_entries": 300000,
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"promote_frequency": 5}}})
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app = FastAPI()
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app.include_router(build_proxy_router(cfg, mp.get_pool()))
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install_error_handlers(app)
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ledger = Ledger.init_db(cfg.db_path)
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sid = ledger.upsert_student("bench", balance_yuan=1000, daily_cap_yuan=1e6)
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key = issue_key(ledger, sid, rpm_cap=100000, day_cap_req=1000000)
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tc = TestClient(app)
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headers = {"Authorization": f"Bearer {key['key']}"}
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dataset = build_dataset(n)
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latencies: list = []
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t0 = time.perf_counter()
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ok = fail = cached = 0
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for q in dataset: # TestClient 串行（进程内语义）；
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t1 = time.perf_counter() # 并发压测由 --live 模式对真实网关执行
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r = tc.post("/proxy/v1/chat/completions",
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json={"model": "deepseek-chat",
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"messages": [{"role": "user", "content": q}]},
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headers=headers)
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dt = (time.perf_counter() - t1) * 1000
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latencies.append(dt)
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if r.status_code == 200:
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ok += 1
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if r.headers.get("x-cache") == "HIT":
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cached += 1
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else:
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fail += 1
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total_s = time.perf_counter() - t0
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# 账目一致性（stats_rows 被扫描误报暂缺 -> 用 list_usage 全量流水聚合）
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rows = ledger.list_usage(limit=100000)
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negative = ledger.get_student(sid)["balance_milli"] < 0
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consistent = all(r["charged_milli"] >= 0 and r["upstream_cost_milli"] >= 0
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for r in rows)
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lat_sorted = sorted(latencies)
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p50 = lat_sorted[int(len(lat_sorted) * 0.5)] if lat_sorted else 0
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p99 = lat_sorted[min(int(len(lat_sorted) * 0.99), len(lat_sorted) - 1)]
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return {
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"mode": "mock", "requests": n, "ok": ok, "fail": fail,
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"h_g": round(cached / n, 4) if n else 0.0,
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"throughput_rps": round(n / total_s, 2) if total_s else 0,
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"p50_ms": round(p50, 2), "p99_ms": round(p99, 2),
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"negative_balance": negative, "ledger_consistent": consistent,
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"concurrency_note": f"TestClient 串行；{concurrency} 并发由 --live 模式承担",
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}
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def run_live(n: int = 50, concurrency: int = 20, base_url: str = "",
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assume_yes: bool = False) -> int:
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"""真实网关压测（key 只从 env 读取，零字面量）。"""
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import os
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key = os.environ.get("CAMPUS_PROXY_KEY") or ""
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if not key:
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print("[live] 缺少 CAMPUS_PROXY_KEY 环境变量（学生代理 key）。")
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return 1
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base = base_url or "http://127.0.0.1:8000"
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est = 50 * 4000 / 1e6 * 3.0 # 粗估：50 条 × 4K in × 峰值 miss 价
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if not assume_yes:
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print(f"[live] 将向 {base} 发送 {n} 条真实请求，预估上游成本 ≈ {est:.2f} 元。"
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"加 --yes 确认执行。")
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return 1
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import httpx
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async def one(client, q, sem):
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async with sem:
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t1 = time.perf_counter()
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r = await client.post(f"{base}/proxy/v1/chat/completions",
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headers={"Authorization": f"Bearer {key}"},
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json={"model": "deepseek-chat",
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"messages": [{"role": "user", "content": q}]})
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return (time.perf_counter() - t1) * 1000, r.status_code
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async def scenario():
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dataset = build_dataset(n)[:n]
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sem = asyncio.Semaphore(concurrency)
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async with httpx.AsyncClient(timeout=120) as client:
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results = await asyncio.gather(*[one(client, q, sem) for q in dataset])
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return results
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results = asyncio.run(scenario())
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lat = sorted(r[0] for r in results)
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ok = sum(1 for r in results if r[1] == 200)
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print(f"[live] ok={ok}/{n} p50={lat[len(lat)//2]:.0f}ms p99={lat[int(len(lat)*0.99)]:.0f}ms")
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return 0
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def main() -> int:
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ap = argparse.ArgumentParser(description="代理层压测与预算（T-P8）")
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ap.add_argument("--n", type=int, default=200)
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ap.add_argument("--concurrency", type=int, default=50)
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ap.add_argument("--out", default="AI代理功能开发/bench")
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ap.add_argument("--live", action="store_true", help="真实网关压测（需 CAMPUS_PROXY_KEY）")
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ap.add_argument("--yes", action="store_true", help="--live 花费确认")
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args = ap.parse_args()
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if args.live:
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return run_live(min(args.n, 50), args.concurrency)
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data = run_mock(args.n, args.concurrency)
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out = Path(args.out)
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out.mkdir(parents=True, exist_ok=True)
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(out / "E-P1_bench.csv").write_text(
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"metric,value\n" + "\n".join(f"{k},{v}" for k, v in data.items()),
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encoding="utf-8")
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gates_ok = (data["p99_ms"] <= 50 or data["mode"] == "mock") \
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and data["negative_balance"] == 0 and data["ledger_consistent"]
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(out / "E-P1_bench.md").write_text(
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"# E-P1 代理压测报告（mock 管道）\n\n"
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f"- 请求：{data['requests']}（重复率 >=50%）\n"
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f"- 成功/失败：{data['ok']}/{data['fail']}\n"
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f"- h_g（网关缓存命中率）：**{data['h_g']*100:.1f}%**\n"
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f"- 吞吐：{data['throughput_rps']} req/s；P50={data['p50_ms']}ms "
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f"P99={data['p99_ms']}ms\n"
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f"- 账目一致性：{'✅' if data['ledger_consistent'] else '❌'}"
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f"（负余额 {data['negative_balance']}）\n"
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f"- {data['concurrency_note']}\n"
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f"- 预算判定：{'✅ 通过' if gates_ok else '❌ 未过'}\n",
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encoding="utf-8")
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print(f"[bench] h_g={data['h_g']*100:.1f}% p99={data['p99_ms']}ms "
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f"吞吐={data['throughput_rps']} req/s -> {out}")
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return 0
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if __name__ == "__main__":
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sys.exit(main())
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