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fxxking-data-client

0.2.0 新增两条 A 股 ashare-lake 独立订阅能力,原有 stream_bars()、同步 HTTP 与异步 HTTP 接口保持不变:

async with MarketDataStreamClient(base_url, token) as client:
    latest = await client.open_latest_price_subscription(
        market="CN",
        symbol="600519.SH",
        poll_interval="5m",
    )
    closed = await client.open_closed_bar_subscription(
        market="CN",
        symbol="600519.SH",
        interval="5m",
    )

两个句柄均提供 initial_status()current_status()status_updates()events()aclose()CLIENT_VERSION_SERIES="0.1.x" 继续表示服务基础 contract 的兼容系列,不表示 Python 包自身版本。

fxxking-data-clientfxxking-data 服务的来源无关 Python Client。 候选版本为 0.2.0,Python import package 保持为 market_data_client

本包提供同步 HTTP Client、异步 HTTP Client、WebSocket Client,以及搜索、标的详情、 K 线、报价、日历和市场状态的强类型请求与响应模型。它不包含服务端实现、存储实现或 Longbridge、Bitget、OpenFIGI 等金融上游 SDK。

安装

正式发布门禁关闭后,从 PyPI 安装精确版本:

python -m pip install fxxking-data-client==0.2.0

当前仓只生成并验证本地 wheel/sdist 发布候选,尚未执行 PyPI 发布。client/dist/ 不是正式 registry,不得据此声明该版本已经发布。

兼容范围

Client 0.1.x 只接受 API contract 1。同步和异步 Client 在首次搜索、详情或 K 线 请求前读取服务的公开只读 GET /v1/capabilities;成功后在当前实例内缓存。capabilities 缺失、Schema 错误、contract 为 0/2 或缺少 M1 必需能力时抛出 CompatibilityError,不会继续访问旧接口或使用 fallback。

M1 最小使用

from market_data_client import MarketDataClient

with MarketDataClient(
    "https://data.example.invalid",
    "service-token",
) as client:
    search = client.search_instruments("AAPL", market="US")
    instrument_id = search.items[0].instrument_id
    details = client.get_instrument(instrument_id)
    bars = client.get_bars_by_instrument(
        instrument_ids=[instrument_id],
        market="US",
        interval="1d",
        start="2025-07-29T00:00:00Z",
        end="2026-07-30T00:00:00Z",
        adjustment="none",
    )

assert details.instrument_id == instrument_id
assert bars.items[0].instrument_id == instrument_id

同步与异步 Client 使用相同公共模型、稳定错误层级和兼容握手。搜索与详情成功响应 保留服务 request ID;K 线结果保留 request/result ID、row count、data version、 generated time 和 canonical hash。Client 只解释数据与协议事实,不决定业务是否运行。 Client 0.2.0 会在同步查询、异步查询和 get_result() 下载后,使用唯一基础 BARS_SCHEMA 对每个成功 item 重算 row count 和 canonical hash;任何内容、 result identity 或 Schema metadata 不一致都会明确失败,不会静默降级。

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