Docker
52 lines
1.6 KiB
Python
52 lines
1.6 KiB
Python
# coding: utf-8
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"""Measure ZMQ GIL-spike rate at different request rates.
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Sends N get_full_tick requests at a fixed interval, records per-call
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latency, reports how many exceed thresholds (50/200/500/1000ms).
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"""
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import sys
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import time
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sys.path.insert(0, r"D:\gjzqqmt\xtquant_big_convert\src")
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sys.path.insert(0, r"D:\国金证券QMT交易端_lemo\python")
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import bigqmt_signal_trader.xtquant_compat as compat
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compat.configure()
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client = compat.get_default_client()
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print("account:", client.account_id, "| transport:", client.transport_name)
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print("=" * 60)
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N = 40
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INTERVAL_MS = 50 # 请求间隔 50ms = 20 QPS
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latencies = []
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for i in range(N):
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t0 = time.time()
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try:
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client.call("get_full_tick", {"codes": ["000001.SZ"]})
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ms = (time.time() - t0) * 1000
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latencies.append(ms)
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except Exception as e:
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ms = (time.time() - t0) * 1000
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latencies.append(ms)
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print(" [%2d] FAIL %.0fms %s" % (i, ms, str(e)[:40]))
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# 控制频率
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elapsed = (time.time() - t0)
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sleep = max(0, INTERVAL_MS / 1000.0 - elapsed)
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if sleep > 0:
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time.sleep(sleep)
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latencies.sort()
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n = len(latencies)
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print("\n=== %d requests @ %dms interval (%.0f QPS) ===" % (n, INTERVAL_MS, 1000.0/INTERVAL_MS))
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print("min=%.1f p50=%.1f p90=%.1f p99=%.1f max=%.1f" % (
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latencies[0], latencies[n//2], latencies[int(n*0.9)], latencies[int(n*0.99)], latencies[-1]))
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# 尖峰分布
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thresholds = [10, 50, 100, 200, 500, 1000]
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print("\n=== 延迟分布 ===")
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for t in thresholds:
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cnt = sum(1 for l in latencies if l > t)
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print(" >%5dms : %2d / %d (%.0f%%)" % (t, cnt, n, 100.0*cnt/n))
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