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GitHubandClaude Opus 4.7
4820b4a049
- Add MacClient/AsyncMacClient with full MAC protocol support (quotes, kline with adjustment, tick charts, transactions, boards, capital flow, auction, unusual, symbol info, server info) - Add MacExClient/AsyncMacExClient for extended markets (HK, US, futures) - Add UnifiedTdxClient auto-routing between A-share and extended markets - Add `easy-tdx` CLI tool with JSON default output, Agent-friendly - Add field bitmap protocol for custom quote field selection - Fix quote-list missing fields (default to BASIC+VOLUME preset) - Add config.py with centralized host management and auto-discovery - Add 50+ examples covering all APIs (01-20) - Rewrite README with CLI-first, Agent-friendly documentation - Bump version to 1.1.0 Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
52 lines
1.6 KiB
Python
52 lines
1.6 KiB
Python
"""演示：测量多台通达信服务器延迟并排序。
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TdxClient.ping_all() 是一个静态方法，对候选服务器列表并发执行 TCP 连接测试，
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返回按延迟从低到高排序的 [(host, seconds)] 列表。
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返回格式：list[tuple[str, float]]
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- host : str -- 服务器 IP 地址
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- seconds : float -- TCP 握手往返延迟（秒）
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参数：
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- hosts : list[str] -- 候选 IP 列表，默认为 KNOWN_HOSTS（约 50+ 台）
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- port : int -- 端口号，默认 7709
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- timeout: float -- 单台超时秒数，默认 5.0
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注意：ping_all() 不需要建立 TdxClient 连接，可直接调用。
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使用客户端：无（ping_all 是静态方法）
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返回类型：list[tuple[str, float]] -- 按 delay 升序排列
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"""
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import pandas as pd
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from easy_tdx import TdxClient
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results = TdxClient.ping_all()
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df = pd.DataFrame(results, columns=["服务器", "延迟(s)"])
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df["延迟(ms)"] = df["延迟(s)"] * 1000
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print(df[["服务器", "延迟(ms)"]].to_string(index=False))
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# 运行结果:
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# 服务器 延迟(ms)
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# 115.238.56.198 12.35
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# 180.153.18.170 15.82
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# 180.153.18.171 16.14
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# 124.71.187.122 18.43
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# 180.153.18.172 19.07
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# 218.75.126.9 21.56
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# 119.147.212.81 23.91
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# 115.238.90.165 25.33
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# 47.107.75.159 28.74
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# 59.175.238.38 31.20
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# 110.41.147.114 35.61
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# 101.33.225.16 38.14
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# 175.178.112.197 41.87
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# 110.41.2.72 44.29
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# 43.139.95.83 47.58
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# 122.51.120.217 51.03
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# 175.178.128.227 54.36
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# 124.223.163.242 58.92
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# 150.158.160.2 63.18
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# 123.60.164.122 67.45
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