mike
657dc41c46
- OKX交易自动化 (okx-auto-position, okx-crypto, okx-exchange) - 交易信号处理 (signal-confirmation-templates, trading-signal-aggregator) - 量化因子挖掘 (quant-factor-mining) - 长桥集成 (longbridge-cli, longbridge-python-sdk) - 六合彩分析 (lottery-hk) - 股息投资 (dividend-investing, dividend-scanner) - 日内交易 (intraday-trading) - 同花顺 (tonghuashun)
45 lines
1.8 KiB
Python
45 lines
1.8 KiB
Python
# LongPort Python SDK via execute_code — reliable pattern
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# Use this instead of terminal + source ~/.bashrc for Python SDK calls.
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# The execute_code sandbox inherits LONGPORT_* env vars, so Config.from_env() works.
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#
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# Pitfalls:
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# - execute_code sandbox does NOT inherit bashrc; LONGPORT_* must already be in
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# the host env (they are, from ~/.bashrc on this system).
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# - If Config.from_env() throws "missing environment variable", the sandbox
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# couldn't find the var. Fall back to reading from bashrc via subprocess.
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# - Decimal fields (market_cap, last_done, etc.) need float() conversion.
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# - candlesticks() returns list sorted oldest-first; [-1] is latest.
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# - adjust_type is required for candlesticks: use openapi.AdjustType.NoAdjust
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# for raw data or openapi.AdjustType.ForwardAdjust for adjusted.
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import os
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# Safety net: if LONGPORT_* not in sandbox env, load from bashrc
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if not os.environ.get("LONGPORT_APP_KEY"):
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import subprocess
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result = subprocess.run(
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["bash", "-c", "source ~/.bashrc && env"],
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capture_output=True, text=True
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)
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for line in result.stdout.split("\n"):
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if "=" in line and "LONGPORT_" in line:
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key, val = line.split("=", 1)
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os.environ[key] = val
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from longport import openapi
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config = openapi.Config.from_env()
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ctx = openapi.QuoteContext(config=config)
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# --- Quote ---
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resp = ctx.quote(["AAPL.US"])
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q = resp[0]
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print(f"Latest: {float(q.last_done)}, Open: {float(q.open)}, High: {float(q.high)}, Low: {float(q.low)}")
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# --- Candlesticks (daily, 30 bars) ---
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candles = ctx.candlesticks("AAPL.US", openapi.Period.Day, 30, openapi.AdjustType.NoAdjust)
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first_close = float(candles[0].close)
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last_close = float(candles[-1].close)
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change_pct = (last_close - first_close) / first_close * 100
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print(f"30d change: {first_close} -> {last_close} ({change_pct:+.2f}%)")
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