diff --git a/README.md b/README.md index 9e116c4..fae2676 100644 --- a/README.md +++ b/README.md @@ -1,28 +1,27 @@ # xmtdx -通达信 TCP 协议 A 股行情数据客户端，零运行时依赖。 +通达信 TCP 协议行情数据客户端，零运行时依赖。支持在线行情获取和离线本地数据读取。 pytdx 年久失修：多处已知解析 bug、Python 2 包袱、无类型注解、大量未知字段被静默丢弃。xmtdx 重新实现协议，修复已知 bug，保留全部原始字节与未知字段供后续逆向分析。 +离线数据读取模块借鉴了 [pytdx](https://github.com/rainx/pytdx) 的数据格式解析方法，感谢 pytdx 项目的贡献。 + ## 特性 -- **零依赖**：纯标准库，Python ≥ 3.10 +- **零依赖**：纯标准库，Python >= 3.10 - **同步 + asyncio 双接口**：`TdxClient` / `AsyncTdxClient`，commands 层不含任何 IO - **完整类型注解**：strict `mypy` + `ruff` 通过 - **高可用传输**：同步/异步均支持 `ping_all()`、`from_best_host()`、断线自动重连 - **修复 pytdx 已知 bug**（见下文） - **保留原始字节**：每条数据记录含 `_raw: bytes`，未知字段以 `unknown_N` 命名而非丢弃 - **保活心跳机制**：`AsyncTdxClient` 自动发送心跳包，确保长连接生产环境稳定性 -- **沪深 A 股完整列表**：`get_security_list_all()` 自动过滤非 A 股品种并挂载行业信息 -- **北交所列表限制**：`get_security_list(Market.BJ, start)` 当前不能稳定获取，BJ 暂未纳入 `get_security_list_all()` -- **全市场涨跌统计**：一键获取全 A 股涨/跌/平家数及总成交额 -- **离线 + 本地传输回归测试**：覆盖解析、异步并发串行化、超时、自动重连与坏包处理 +- **扩展行情**：`ExTdxClient` / `AsyncExTdxClient` 支持期货、港股、外盘等扩展市场（端口 7727） +- **离线数据读取**：从本地通达信安装目录直接读取日线、分钟线、财务、板块、股本变迁等数据，无需网络 +- **专业财务数据**：通过计算服务器下载历史财报 ZIP 文件并解析 ## 安装 ```bash -python3 -m venv .venv -source .venv/bin/activate pip install -e . # 开发模式 pip install -e ".[dev]" # 含测试/类型检查工具 pip install -e ".[pandas]" # 含 pandas（可选） @@ -30,22 +29,23 @@ pip install -e ".[pandas]" # 含 pandas（可选） ## 快速开始 -### 同步 +### 连接与基本查询 ```python from xmtdx import TdxClient, Market, KlineCategory -# 指定服务器 +# 手动指定服务器 with TdxClient("180.153.18.170") as c: count = c.get_security_count(Market.SH) - bars = c.get_security_bars(Market.SH, "600000", KlineCategory.DAY, 0, 5) - for b in bars: - print(b.year, b.month, b.day, b.open, b.close, b.high, b.low, b.vol) + print(f"沪市证券总数: {count}") -# 自动测速选最低延迟服务器 +# 自动优选最低延迟服务器 with TdxClient.from_best_host() as c: - quotes = c.get_security_quotes([(Market.SH, "600000"), (Market.SZ, "000001")]) - print(quotes[0].price, quotes[0].bid1, quotes[0].ask1) + bars = c.get_security_bars(Market.SH, "600000", KlineCategory.DAY, 0, 5) + for b in bars: + print(f"{b.year}-{b.month:02d}-{b.day:02d} " + f"开:{b.open:.2f} 高:{b.high:.2f} " + f"低:{b.low:.2f} 收:{b.close:.2f}") ``` ### asyncio @@ -55,80 +55,414 @@ import asyncio from xmtdx import AsyncTdxClient, Market, KlineCategory async def main(): - async with AsyncTdxClient("180.153.18.170") as c: - bars = await c.get_security_bars(Market.SH, "600000", KlineCategory.DAY, 0, 5) - print(bars[0]) + async with AsyncTdxClient.from_best_host() as c: + bars = await c.get_security_bars( + Market.SH, "600000", KlineCategory.DAY, 0, 5 + ) + for bar in bars: + print(f"{bar.year}-{bar.month:02d}-{bar.day:02d} " + f"开:{bar.open:.2f} 高:{bar.high:.2f} " + f"低:{bar.low:.2f} 收:{bar.close:.2f}") asyncio.run(main()) ``` -### 高可用工具 +### 服务器测速 ```python -from xmtdx import ping_all, KNOWN_HOSTS +from xmtdx import TdxClient -# 并发测速，返回按延迟排序的 [(host, seconds), ...] -results = ping_all(KNOWN_HOSTS, timeout=5.0) -for host, ms in results: - print(f"{host} {ms*1000:.0f} ms") - -# 自动选最优服务器 -with TdxClient.from_best_host(ping_timeout=5.0) as c: - ... - -# asyncio 版本同样支持 -client = AsyncTdxClient.from_best_host(ping_timeout=5.0) +# 测速并排序 +results = TdxClient.ping_all() +for host, latency in results: + print(f"{host} {latency * 1000:.0f} ms") ``` -内置服务器列表（`KNOWN_HOSTS`）： +## API 参考 -``` -180.153.18.170 180.153.18.171 180.153.18.172 -115.238.56.198 115.238.90.165 218.75.126.9 -47.107.75.159 59.175.238.38 +### 连接管理 + +| 方法 | 说明 | +|------|------| +| `TdxClient(host, port=7709, timeout=15.0)` | 指定服务器创建客户端 | +| `TdxClient.from_best_host(ping_timeout=5.0)` | 自动选延迟最低的服务器 | +| `TdxClient.ping_all(timeout=5.0)` | 并发测速，返回 `[(host, seconds), ...]` | +| `AsyncTdxClient` / `AsyncTdxClient.from_best_host()` | 异步版，接口一一对应 | + +内置服务器列表 `KNOWN_HOSTS`（8 台）和计算服务器 `CALC_HOSTS`（1 台）。 + +### 市场信息 + +```python +with TdxClient.from_best_host() as c: + # 市场证券总数 + count = c.get_security_count(Market.SH) + + # 证券列表（分页，每页约 1000 条） + stocks = c.get_security_list(Market.SH, start=0) + # stocks[0].code / .name / .pre_close / .industry_tdx / .industry_sw + + # 沪深 A 股完整列表（自动挂载行业信息，本地缓存 1 天） + all_stocks = c.get_security_list_all() + + # 批量实时五档行情（最多 80 只/次） + quotes = c.get_security_quotes([ + (Market.SH, "600000"), # 浦发银行 + (Market.SH, "600519"), # 贵州茅台 + (Market.SZ, "000001"), # 平安银行 + (Market.SZ, "000858"), # 五粮液 + ]) + # quotes[0].price / .pre_close / .open / .high / .low / .bid1..bid5 / .ask1..ask5 + + # 全市场涨跌统计 + stat = c.get_market_stat() + # stat.up_count / .down_count / .neutral_count / .total_amount / .total_market_cap ``` +### K 线数据 -## API +```python +from xmtdx import Market, KlineCategory -### TdxClient +with TdxClient.from_best_host() as c: + # 个股 K 线 + bars = c.get_security_bars(Market.SZ, "002176", KlineCategory.DAY, 0, 100) + + # 指数 K 线（常用指数代码：上证 "999999"，深成 "399001"，创业板 "399006"） + bars = c.get_index_bars(Market.SH, "999999", KlineCategory.DAY, 0, 10) +``` + +K 线类别： + +``` +KlineCategory.MIN_1 MIN_5 MIN_15 MIN_30 MIN_60 +KlineCategory.DAY WEEK MONTH YEAR +``` + +K 线字段：`open` `close` `high` `low` `vol` `amount` `year` `month` `day` `hour` `minute` `_raw` + +### 分时数据 + +```python +with TdxClient.from_best_host() as c: + # 今日分时（240 条） + bars = c.get_minute_time_data(Market.SH, "600000") + + # 历史某日分时，date 为 YYYYMMDD 格式整数 + bars = c.get_history_minute_time_data(Market.SH, "600000", 20250110) +``` + +分时字段：`price` `vol` `unknown_1`（原 pytdx 丢弃字段，保留供分析）`_raw` + +### 逐笔成交 + +```python +with TdxClient.from_best_host() as c: + # 当日逐笔成交（分页） + records = c.get_transaction_data(Market.SH, "600000", 0, 20) + + # 历史逐笔成交 + records = c.get_history_transaction_data(Market.SH, "600000", 20250110, 0, 20) +``` + +成交字段：`hour` `minute` `price` `vol` `buyorsell`（0=买, 1=卖, 2=中性, 8=集合竞价）`unknown_last` `_raw` + +### 财务与公司信息 + +```python +from xmtdx import XDXR_CATEGORY_NAMES + +with TdxClient.from_best_host() as c: + # 除权除息历史 + records = c.get_xdxr_info(Market.SH, "600519") + # records[0].fenhong / .songzhuangu / .peigujia / .peigu + + # 最新财务数据 + info = c.get_finance_info(Market.SH, "600519") + # info.zong_guben / .liutong_guben / .jing_lirun / .zhuying_shouru / ... + + # 涨跌停价计算 + quotes = c.get_security_quotes([(Market.SH, "600519")]) + limit_up, limit_down = c.get_price_limits( + Market.SH, "600519", "贵州茅台", quotes[0].pre_close + ) + + # 公司信息目录 + categories = c.get_company_info_category(Market.SH, "600519") + for cat in categories: + print(cat.name, cat.filename, cat.start, cat.length) + + # 公司信息内容 + content = c.get_company_info_content( + Market.SH, "600519", cat.filename, cat.start, cat.length + ) +``` + +### 板块信息 + +```python +with TdxClient.from_best_host() as c: + # 行业/指数板块 + blocks = c.get_block_info("block_zs.dat") + # 概念板块 + blocks = c.get_block_info("block_gn.dat") + # 风格板块 + blocks = c.get_block_info("block_fg.dat") + # blocks[0].name / .category / .count / .codes +``` + +### 资金流向 + +```python +with TdxClient.from_best_host() as c: + # 当日资金流向（超大/大/中/小单） + flow = c.get_fund_flow(Market.SH, "600519") + # flow.super_in / .super_out / .large_in / .large_out / .main_net_inflow + + # 历史日线资金流向序列 + flows = c.get_history_fund_flow(Market.SH, "600519", 0, 10) + # flows[0].year / .month / .day / .super_in / .main_net_inflow +``` + +### 文件下载 + +```python +from xmtdx import CALC_HOSTS + +with TdxClient.from_best_host() as c: + # 行情服务器可用的文件 + data = c.get_report_file("tdxhy.cfg") # 行业映射配置 + data = c.get_report_file("block_gn.dat") # 概念板块 + + # 计算服务器：专业财务数据 + with TdxClient(CALC_HOSTS[0]) as calc: + file_list = calc.get_financial_file_list() + # file_list[0].filename / .filesize / .hash + + zip_data = calc.get_financial_file("tdxfin/gpcw20260331.zip") + records = calc.get_financial_records("tdxfin/gpcw20260331.zip") + # records[0].market / .code / .report_date / .fields +``` + +### 扩展行情（期货、港股、外盘） + +```python +from xmtdx import ExTdxClient + +# 扩展行情服务器端口 7727 +with ExTdxClient() as c: + markets = c.get_markets() # 可用市场列表 + count = c.get_instrument_count() # 品种总数 + instruments = c.get_instrument_info(0, 50) # 品种信息（分页） + quote = c.get_instrument_quote(market, code) # 单品种行情 + + # K 线（支持日期范围查询） + bars = c.get_instrument_bars(market, code, category, start, count) + bars = c.get_history_instrument_bars_range(market, code, date_start, date_end) + + # 分时 / 逐笔 + minute = c.get_minute_time_data(market, code) + trades = c.get_transaction_data(market, code, start, count) +``` + +`AsyncExTdxClient` 提供与同步版对应的 `async def` 方法。 + +## 离线数据读取 + +从本地通达信安装目录直接读取数据文件，无需网络连接。离线模块的路径检测优先级： + +1. `TDX_HOME` 环境变量 +2. 平台常见路径猜测（Windows: `C:\new_jyplug`、`C:\new_tdx` 等） + +```python +# Windows +set TDX_HOME=C:\new_jyplug + +# Linux/macOS +export TDX_HOME=/opt/new_tdx +``` + +### 日线 K 线 + +```python +from xmtdx.offline import detect_tdx_home, read_daily_bars, find_daily_bar_file +from xmtdx import Market + +home = detect_tdx_home() + +# 通过 市场+代码 自动定位文件 +filepath = find_daily_bar_file(Market.SH, "600000") +bars = read_daily_bars(filepath) + +for bar in bars[-10:]: + print(f"{bar.year}-{bar.month:02d}-{bar.day:02d} " + f"开:{bar.open:.2f} 收:{bar.close:.2f} 量:{bar.vol:.0f}") +``` + +文件位于 `vipdoc/{sh,sz}/lday/`，如 `sh600000.day`。自动识别证券类型（A 股/B 股/指数/基金/债券）并应用对应的价格和成交量系数。 + +### 分钟 K 线 + +```python +from xmtdx.offline import ( + read_5min_bars, read_lc_min_bars, + find_5min_bar_file, find_lc1_bar_file, find_lc5_bar_file, +) +from xmtdx import Market + +# .5 文件（OHLC 为整数 / 100） +filepath = find_5min_bar_file(Market.SH, "600000") +bars = read_5min_bars(filepath) + +# .lc1 文件（1 分钟线，OHLC 为浮点数） +filepath = find_lc1_bar_file(Market.SH, "600000") +bars = read_lc_min_bars(filepath) + +# .lc5 文件（5 分钟线，OHLC 为浮点数） +filepath = find_lc5_bar_file(Market.SZ, "002176") +bars = read_lc_min_bars(filepath) +``` + +文件位于 `vipdoc/{sh,sz}/fzline/`，如 `sh600000.5`、`sh600000.lc1`、`sh600000.lc5`。 + +### 扩展市场日线 + +```python +from xmtdx.offline import read_ex_daily_bars + +# 期货、港股、外盘等扩展市场数据 +# 文件位于 vipdoc/ds/lday/，如 29#A1801.day +bars = read_ex_daily_bars(r"C:\new_jyplug\vipdoc\ds\lday\38#2_CPI.day") +# bar.open / .high / .low / .close / .settlement / .vol +``` + +### 板块数据 + +```python +from xmtdx.offline import read_block_dat, read_customer_blocks + +# 系统板块（本地 .dat 文件） +blocks = read_block_dat(r"C:\new_jyplug\vipdoc\block_zs.dat") +# blocks[0].name / .category / .count / .codes + +# 自定义板块（blocknew 目录） +blocks = read_customer_blocks(r"C:\new_jyplug\T0002\blocknew") +# blocks[0].blockname / .codes +``` + +支持本地 .dat 文件离线读取，本地不存在时可通过 `TdxClient.get_block_info()` 在线获取。 + +### 股本变迁 + +```python +from xmtdx.offline import read_gbbq + +records = read_gbbq(r"C:\new_jyplug\T0002\hq_cache\gbbq") +# records[0].market / .code / .datetime / .category / .hongli_panqianliutong / ... +``` + +gbbq 文件使用 XOR 加密存储，读取时自动解密。 + +### 历史财务数据 + +```python +from xmtdx.offline import read_history_financial + +# 支持 .dat 和 .zip 文件（.zip 自动解压） +records = read_history_financial(r"C:\new_jyplug\vipdoc\fin\gpcw20260331.zip") +# records[0].code / .market / .report_date / .fields +``` + +文件可通过 `TdxClient.get_financial_file_list()` 查询可用文件，再用 `get_financial_file()` 下载到本地。 + +### 路径检测 + +```python +from xmtdx.offline import detect_tdx_home, resolve_vipdoc + +# 自动检测通达信安装目录 +home = detect_tdx_home() + +# 解析 vipdoc 数据目录 +vipdoc = resolve_vipdoc() +``` + +vipdoc 目录结构： + +``` +vipdoc/ +├── sh/lday/ 上海日线 sh600000.day +├── sh/fzline/ 上海分钟线 sh600000.5 / .lc1 / .lc5 +├── sz/lday/ 深圳日线 sz000001.day +├── sz/fzline/ 深圳分钟线 sz000001.5 / .lc1 / .lc5 +├── ds/lday/ 扩展市场 29#A1801.day +└── fin/ 历史财务 gpcw*.dat / gpcw*.zip +``` + +## 完整 API 列表 + +### TdxClient / AsyncTdxClient | 方法 | 说明 | |------|------| | `get_security_count(market)` | 市场证券总数 | -| `get_security_list(market, start)` | 证券列表（每页 ~1000 条；BJ 当前不能稳定获取） | -| `get_security_list_all()` | 沪深 A 股列表（自动挂载行业信息；BJ 暂未纳入） | -| `get_market_stat()` | 全市场 A 股涨跌统计（家数、成交额） | +| `get_security_list(market, start)` | 证券列表（每页约 1000 条） | +| `get_security_list_all()` | 沪深 A 股完整列表（含行业映射，本地缓存 1 天） | | `get_security_quotes([(market, code), ...])` | 批量实时五档行情（最多 80 只/次） | -| `get_price_limits(market, code, name, pre_close)` | 计算当前涨跌停价（自动处理上市初期无涨跌幅限制） | -| `get_security_bars(market, code, category, start, count=800)` | K 线（股票） | -| `get_index_bars(market, code, category, start, count=800)` | K 线（指数） | +| `get_price_limits(market, code, name, pre_close)` | 计算涨跌停价 | +| `get_security_bars(market, code, category, start, count)` | 个股 K 线 | +| `get_index_bars(market, code, category, start, count)` | 指数 K 线 | | `get_minute_time_data(market, code)` | 今日分时（240 条） | -| `get_history_minute_time_data(market, code, date)` | 历史某日分时，`date=YYYYMMDD` | -| `get_transaction_data(market, code, start, count=800)` | 当日逐笔成交（分页） | -| `get_history_transaction_data(market, code, date, start, count=800)` | 历史逐笔成交 | -| `get_fund_flow(market, code)` | 当日资金流向统计（超大/大/中/小单） | -| `get_history_fund_flow(market, code, start, count)` | 历史日线资金流向序列（优先 Category 22，空回包时自动回退到历史逐笔重算） | +| `get_history_minute_time_data(market, code, date)` | 历史分时 | +| `get_transaction_data(market, code, start, count)` | 当日逐笔成交 | +| `get_history_transaction_data(market, code, date, start, count)` | 历史逐笔成交 | +| `get_fund_flow(market, code)` | 当日资金流向 | +| `get_history_fund_flow(market, code, start, count)` | 历史日线资金流向 | | `get_xdxr_info(market, code)` | 除权除息历史 | | `get_finance_info(market, code)` | 最新财务数据 | -| `get_company_info_category(market, code)` | 公司信息文件目录 | +| `get_company_info_category(market, code)` | 公司信息目录 | | `get_company_info_content(market, code, filename, offset, length)` | 公司信息文本 | -| `get_block_info(filename)` | 板块信息（行业、概念、风格等） | -| `get_report_file(filename)` | 批量拉取大文件（如 'base_info.zip', 'gpcw.txt'） | +| `get_block_info(filename)` | 板块信息 | +| `get_report_file(filename)` | 下载服务器文件 | +| `get_market_stat()` | 全市场涨跌统计 | +| `get_financial_file_list()` | 计算服务器财务文件列表 | +| `get_financial_file(filename)` | 下载财务文件 | +| `get_financial_records(filename)` | 下载并解析财务记录 | -`AsyncTdxClient` 提供与同步版对应的查询方法与高可用入口，均为 `async def`。 -单个 `AsyncTdxClient` 仅维护一条 TCP 连接；并发调用会在连接内串行执行。 +### ExTdxClient / AsyncExTdxClient -## 已知限制 +| 方法 | 说明 | +|------|------| +| `get_markets()` | 可用市场列表 | +| `get_instrument_count()` | 品种总数 | +| `get_instrument_info(start, count)` | 品种信息（分页） | +| `get_instrument_quote(market, code)` | 单品种行情 | +| `get_instrument_quote_list(market, start, count)` | 批量行情 | +| `get_instrument_bars(market, code, category, start, count)` | 品种 K 线 | +| `get_history_instrument_bars_range(market, code, start, end)` | 日期范围 K 线 | +| `get_minute_time_data(market, code)` | 分时数据 | +| `get_history_minute_time_data(market, code, date)` | 历史分时 | +| `get_transaction_data(market, code, start, count)` | 逐笔成交 | +| `get_history_transaction_data(market, code, date, start, count)` | 历史逐笔 | -- `xmtdx` 当前不能稳定获取 BJ 证券列表；`get_security_count(Market.BJ)` 可用，但 `get_security_list(Market.BJ, start)` 经常超时，因此 `get_security_list_all()` 暂不纳入 BJ。 +### xmtdx.offline -### KlineCategory - -``` -MIN_1 MIN_3 MIN_5 MIN_15 MIN_30 MIN_60 -DAY WEEK MONTH SEASON YEAR YEAR_ALT -``` +| 函数 | 说明 | +|------|------| +| `detect_tdx_home()` | 检测通达信安装目录 | +| `resolve_vipdoc(path)` | 解析 vipdoc 数据目录 | +| `read_daily_bars(filepath)` | 读取日线 .day 文件 | +| `find_daily_bar_file(market, code)` | 定位日线文件路径 | +| `read_5min_bars(filepath)` | 读取 .5 分钟线文件 | +| `read_lc_min_bars(filepath)` | 读取 .lc1/.lc5 分钟线文件 | +| `find_5min_bar_file(market, code)` | 定位 .5 文件路径 | +| `find_lc1_bar_file(market, code)` | 定位 .lc1 文件路径 | +| `find_lc5_bar_file(market, code)` | 定位 .lc5 文件路径 | +| `read_ex_daily_bars(filepath)` | 读取扩展市场日线 | +| `read_block_dat(filepath)` | 读取系统板块 .dat 文件 | +| `read_customer_blocks(block_dir)` | 读取自定义板块目录 | +| `read_gbbq(filepath)` | 读取股本变迁文件 | +| `read_history_financial(filepath)` | 读取历史财务数据 | ## 数据模型 @@ -149,31 +483,11 @@ market code price pre_close open high low vol cur_vol amount s_vol b_vol bid1..bid5 bid_vol1..bid_vol5 ask1..ask5 ask_vol1..ask_vol5 -rise_speed limit_up limit_down server_time -unknown_2..unknown_3 unknown_5..unknown_8 +server_time _raw ``` -`limit_up` / `limit_down` 当前不再直接由协议字段映射，默认保留为 `None`； -建议通过 `client.get_price_limits(...)` 计算当前涨跌停价，或用 -`xmtdx.codec.price_rules.compute_price_limits(..., listed_days=...)` 做纯规则计算。 - -### MinuteBar（分时） - -``` -price vol -unknown_1 # 原 pytdx 丢弃字段，保留供分析（≠ 均价） -_raw -``` - -### TransactionRecord（逐笔成交） - -``` -hour minute price vol -buyorsell # 0=买, 1=卖, 2=中性, 8=集合竞价 -unknown_last -_raw -``` +`limit_up` / `limit_down` 默认为 `None`，涨跌停价应通过 `get_price_limits()` 计算。 ### SecurityInfo（证券列表） @@ -182,42 +496,50 @@ market code name volunit decimal_point pre_close industry_tdx industry_sw ``` +### MinuteBar（分时） + +``` +price vol unknown_1 _raw +``` + +### TransactionRecord（逐笔成交） + +``` +hour minute price vol buyorsell unknown_last _raw +``` + ### XdxrRecord（除权除息） ``` market code year month day category name fenhong peigujia songzhuangu peigu suogu xingquanjia fenshu -panqian_liutong panhou_liutong # 单位：万股 -qian_zongguben hou_zongguben # 单位：万股 +panqian_liutong panhou_liutong # 万股 +qian_zongguben hou_zongguben # 万股 _raw ``` -`category == 1` 时，`fenhong / songzhuangu / peigu` 已归一化为“每股”口径。 +`category == 1` 时为现金分红/送转/配股，`fenhong / songzhuangu / peigu` 已归一化为每股口径。 ### 复权公式 -若在仓库外自行计算前复权 / 后复权，建议仅使用 `category == 1` 的 `xdxr` -记录（现金分红 / 送转 / 配股）参与因子计算： - -- `cash = fenhong` -- `bonus = songzhuangu` -- `rights = peigu` -- `rights_price = peigujia` - -单次除权除息事件的价格因子可写为： +仅使用 `category == 1` 的 xdxr 记录： ```text factor = (pre_close - cash + rights * rights_price) / (1 + bonus + rights) ``` -其中 `pre_close` 为事件前一交易日的未复权收盘价。 +其中 `cash = fenhong`，`bonus = songzhuangu`，`rights = peigu`，`rights_price = peigujia`，`pre_close` 为事件前一日未复权收盘价。 -- 前复权：将事件日前的历史价格连续乘以各次 `factor` -- 后复权：将事件日后的价格连续除以各次 `factor` +- 前复权：事件日前的历史价格连续乘以各次 `factor` +- 后复权：事件日后的价格连续除以各次 `factor` -当前建议只把 `category == 1` 用作复权；`2..14` 类事件仍更适合作为原始事件暴露， -不建议直接纳入通用复权引擎。 +### FundFlow（资金流向） + +``` +super_in/out large_in/out medium_in/out small_in/out +main_net_inflow total_net_inflow +``` ### FinanceInfo（财务） @@ -235,24 +557,13 @@ name filename start length name category count codes ``` -### FundFlow（资金流） +## 已知限制 -``` -super_in/out large_in/out medium_in/out small_in/out -main_net_inflow total_net_inflow -``` - -### HistoricalFundFlow（历史资金流序列） - -``` -year month day -super_in/out large_in/out medium_in/out small_in/out -main_net_inflow -``` +- `get_security_list(Market.BJ, start)` 当前不能稳定获取（服务器端问题），`get_security_list_all()` 暂不纳入 BJ +- `limit_up` / `limit_down` 在 `SecurityQuote` 中默认为 `None`，涨跌停价应通过 `get_price_limits()` 计算 ## 修复的 pytdx Bug - | # | 位置 | 问题 | 修复 | |---|------|------|------| | 1 | `xdxr_info` | 循环内始终读 `body[:7]`，所有记录字段相同 | 改为从当前 `pos` 读取，pos 正确推进 | @@ -260,7 +571,7 @@ main_net_inflow | 3 | `security_list` | `pre_close` 误当作整数价格 `/100` | 恢复为通达信自定义浮点解码 | | 4 | `transaction` | 最后一个字段被 `_` 丢弃 | 保留为 `unknown_last` | | 5 | `minute_time` | `reversed1` 字段被丢弃 | 保留为 `unknown_1` | -| 6 | `xdxr_info` | 股本字段用 `float(uint32)` 直解，差约 374 倍 | 改用 `_decode_volume`（通达信自定义浮点），单位万股，与 `FinanceInfo` 完全吻合 | +| 6 | `xdxr_info` | 股本字段用 `float(uint32)` 直解，差约 374 倍 | 改用 `_decode_volume`，单位万股，与 `FinanceInfo` 完全吻合 | | 7 | `security_quotes` | 涨停/跌停价映射错误或缺失 | 停止使用不可信协议位，改由业务规则计算 | ## 架构 @@ -268,6 +579,18 @@ main_net_inflow ``` src/xmtdx/ ├── client.py # TdxClient / AsyncTdxClient（高层 API） +├── ex/ +│ ├── client.py # ExTdxClient / AsyncExTdxClient（扩展行情） +│ └── models.py # 扩展行情数据模型 +├── offline/ # 离线数据读取模块 +│ ├── paths.py # 路径检测与解析 +│ ├── daily_bar.py # 日线读取 +│ ├── min_bar.py # 分钟线读取 +│ ├── ex_daily_bar.py # 扩展市场日线 +│ ├── block.py # 板块数据读取 +│ ├── gbbq.py # 股本变迁（XOR 解密） +│ ├── history_financial.py # 历史财务数据 +│ └── finders.py # 文件路径定位 ├── transport/ │ ├── sync.py # TdxConnection（socket）+ ping_host / ping_all │ └── async_.py # AsyncTdxConnection（asyncio） @@ -276,7 +599,17 @@ src/xmtdx/ └── models/ # 纯 dataclass，无业务逻辑 ``` -commands 层不依赖 transport，可独立单测。transport 层负责 TCP、握手、帧解压、分发。 +commands 层不依赖 transport，可独立单测。transport 层负责 TCP、握手、帧解压、分发。offline 层直接读取本地二进制文件，不依赖 transport。 + +## 协议说明 + +通达信使用私有二进制 TCP 协议： + +- **帧格式**：16 字节响应头（含 zipsize / unzipsize），body 按需 zlib 解压 +- **价格编码**：变长有符号整数（类 LEB128，bit8=继续，bit7=符号，首字节低 6 位 + 后续低 7 位） +- **成交量编码**：4 字节自定义浮点（字节 3 = 指数，字节 0-2 = 精度），不可用于价格字段 +- **握手**：连接后必须顺序发送 3 条 setup 命令，响应丢弃 +- **价格存储**：整数 x 100，差分编码（相邻 tick 存 delta） ## 开发 @@ -287,22 +620,15 @@ python -m pytest tests/unit/ # 集成测试（需要网络，默认跳过） XMTDX_LIVE=1 python -m pytest tests/integration/ -# 未知字段探测脚本 -python scripts/probe_unknowns.py - # 类型检查 mypy src/ -# lint +# lint + format ruff check src/ tests/ +ruff format --check src/ tests/ ``` -## 协议说明 +## 致谢 -通达信使用私有二进制 TCP 协议： - -- **帧格式**：16 字节响应头（含 zipsize / unzipsize），body 按需 zlib 解压 -- **价格编码**：变长有符号整数（类 LEB128，bit8=继续，bit7=符号，首字节低 6 位 + 后续低 7 位） -- **成交量编码**：4 字节自定义浮点（字节 3 = 指数，字节 0-2 = 精度），**不可用于价格字段** -- **握手**：连接后必须顺序发送 3 条 setup 命令，响应丢弃 -- **价格存储**：整数 × 100，差分编码（相邻 tick 存 delta） +- [pytdx](https://github.com/rainx/pytdx) — 离线数据读取模块（日线、分钟线、板块、股本变迁、历史财务的文件格式解析方法）借鉴自 pytdx 项目，感谢 rainx 及所有贡献者的工作 +- 通达信协议分析离不开开源社区的逆向工程成果 diff --git 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+2|920964|T110101|||X520304 +2|920970|T030204|||X200501 +2|920971|T020401|||X1208 +2|920974|T020401|||X120499 +2|920976|T1202|||X4005 +2|920978|T040202|||X260305 +2|920981|T1204|||X400402 +2|920982|T0403|||X270701 +2|920985|T0706|||X300403 +2|920992|T0403|||X270302 diff --git a/examples/10_offline/block_data.py b/examples/10_offline/block_data.py new file mode 100644 index 0000000..a26d490 --- /dev/null +++ b/examples/10_offline/block_data.py @@ -0,0 +1,80 @@ +"""演示：板块数据读取（本地 + 网络自动回退）。 + +系统板块获取优先级： + 1. 本地 .dat 文件（离线读取） + 2. TDX 服务器在线获取（自动回退） + +自定义板块仅支持本地读取。 +""" + +from pathlib import Path + +from xmtdx import TdxClient +from xmtdx.models.finance import TdxBlock +from xmtdx.offline import detect_tdx_home, read_block_dat, read_customer_blocks + + +def _print_blocks(blocks: list[TdxBlock], title: str) -> None: + print(f"\n{title} ({len(blocks)} 个板块):") + for block in blocks[:5]: + codes_preview = ", ".join(block.codes[:5]) + suffix = "..." if len(block.codes) > 5 else "" + print(f" {block.name} ({block.count}只): {codes_preview}{suffix}") + if len(blocks) > 5: + print(f" ... 还有 {len(blocks) - 5} 个板块") + + +home = detect_tdx_home() + +# --- 系统板块 --- +print("=" * 60) +print("系统板块") +print("=" * 60) + +vipdoc = Path(home) / "vipdoc" if home else None +block_names = ["block_zs.dat", "block_gn.dat", "block_fg.dat"] +block_labels = { + "block_zs.dat": "行业板块", + "block_gn.dat": "概念板块", + "block_fg.dat": "风格板块", +} + +need_fetch = [] +for name in block_names: + local_path = vipdoc / name if vipdoc else None + if local_path and local_path.is_file(): + blocks = read_block_dat(local_path) + _print_blocks(blocks, f"{block_labels[name]} ({name}, 本地)") + else: + print(f"\n{block_labels[name]}: 本地文件不存在，将从服务器获取") + need_fetch.append(name) + +# 本地没有的板块，通过网络获取 +if need_fetch: + print(f"\n正在连接服务器获取 {len(need_fetch)} 个板块文件...") + with TdxClient.from_best_host() as c: + for name in need_fetch: + blocks = c.get_block_info(name) + _print_blocks(blocks, f"{block_labels[name]} ({name}, 网络)") + +# --- 自定义板块 --- +print(f"\n{'=' * 60}") +print("自定义板块") +print("=" * 60) + +if home: + blocknew_dir = Path(home) / "T0002" / "blocknew" + if blocknew_dir.is_dir(): + blocks = read_customer_blocks(blocknew_dir) + if blocks: + print(f"\n共 {len(blocks)} 个自定义板块:") + for block in blocks[:10]: + codes_preview = ", ".join(block.codes[:5]) + suffix = "..." if len(block.codes) > 5 else "" + print(f" {block.blockname} ({len(block.codes)}只): {codes_preview}{suffix}") + else: + print("未找到自定义板块数据") + else: + print(f"自定义板块目录不存在: {blocknew_dir}") +else: + print("需要本地通达信安装目录才能读取自定义板块") diff --git a/examples/10_offline/daily_bars.py b/examples/10_offline/daily_bars.py new file mode 100644 index 0000000..02cbd2d --- /dev/null +++ b/examples/10_offline/daily_bars.py @@ -0,0 +1,43 @@ +"""演示：从本地通达信目录读取日线 K 线数据。 + +两种用法： + 1. 直接指定 .day 文件路径 + 2. 通过 市场+代码 自动定位文件（需要设置 TDX_HOME 环境变量） + +需要本地已安装通达信并下载过日线数据。 +""" + +from xmtdx.offline import detect_tdx_home, read_daily_bars, find_daily_bar_file +from xmtdx import Market + +home = detect_tdx_home() +if home is None: + print("未检测到通达信安装目录，请设置 TDX_HOME 环境变量") + print("例如: set TDX_HOME=C:\\new_jyplug") + raise SystemExit(1) + +print(f"通达信目录: {home}") + +# --- 方式1: 通过 市场+代码 自动定位文件 --- +filepath = find_daily_bar_file(Market.SH, "600000") +print(f"\n文件路径: {filepath}") + +bars = read_daily_bars(filepath) +if not bars: + print("未读取到数据，请确认通达信已下载该股票的日线数据") + raise SystemExit(0) + +# 最近 10 个交易日 +print(f"\n浦发银行 日线 (最近 {min(10, len(bars))} 个交易日):") +print(f"{'日期':>12s} {'开盘':>8s} {'最高':>8s} {'最低':>8s} {'收盘':>8s} {'成交量':>10s}") +for bar in bars[-10:]: + print( + f"{bar.year}-{bar.month:02d}-{bar.day:02d} " + f"{bar.open:>8.2f} {bar.high:>8.2f} " + f"{bar.low:>8.2f} {bar.close:>8.2f} " + f"{bar.vol:>10.0f}" + ) + +# --- 方式2: 直接指定文件路径 --- +# from pathlib import Path +# bars2 = read_daily_bars(Path(r"C:\new_jyplug\vipdoc\sz\lday\sz000001.day")) diff --git a/examples/10_offline/detect_home.py b/examples/10_offline/detect_home.py new file mode 100644 index 0000000..60c5461 --- /dev/null +++ b/examples/10_offline/detect_home.py @@ -0,0 +1,80 @@ +"""演示：检测通达信安装目录与路径解析。 + +offline 模块的路径检测优先级： + 1. TDX_HOME 环境变量 + 2. 平台常见路径猜测 (Windows: C:\\new_jyplug, C:\\new_tdx, D:\\... 等) + +vipdoc 目录结构: + vipdoc/ + ├── sh/lday/ 上海日线 sh600000.day + ├── sh/fzline/ 上海5分钟线 sh600000.5 + ├── sh/fzline/ 上海分钟线 sh600000.lc1 / .lc5 + ├── sz/lday/ 深圳日线 sz000001.day + ├── sz/fzline/ 深圳5分钟线 sz000001.5 + ├── sz/fzline/ 深圳分钟线 sz000001.lc1 / .lc5 + └── ds/ 扩展市场 29#A1801.day +""" + +import os +from pathlib import Path + +from xmtdx.offline import detect_tdx_home, resolve_vipdoc +from xmtdx.offline import find_daily_bar_file, find_5min_bar_file, find_lc1_bar_file +from xmtdx import Market + +# --- 检测安装目录 --- +print("=" * 60) +print("通达信安装目录检测") +print("=" * 60) + +home = detect_tdx_home() +if home: + print(f"检测到: {home}") +else: + print("未检测到，可通过以下方式指定:") + print(f" set TDX_HOME=C:\\new_jyplug") + +# --- 手动指定路径 --- +print(f"\n{'=' * 60}") +print("手动指定 vipdoc 路径") +print("=" * 60) + +if home: + vipdoc = resolve_vipdoc() + print(f"vipdoc 目录: {vipdoc}") + + # 列出 vipdoc 子目录 + if vipdoc.is_dir(): + for d in sorted(vipdoc.iterdir()): + if d.is_dir(): + files = list(d.rglob("*")) + print(f" {d.name}/ ({len(files)} 个文件)") +else: + print("(需要 TDX_HOME 才能自动解析)") + +# --- 文件定位示例 --- +print(f"\n{'=' * 60}") +print("通过 市场+代码 定位文件") +print("=" * 60) + +if home: + examples = [ + ("浦发银行 日线", lambda: find_daily_bar_file(Market.SH, "600000")), + ("平安银行 日线", lambda: find_daily_bar_file(Market.SZ, "000001")), + ("浦发银行 5分钟", lambda: find_5min_bar_file(Market.SH, "600000")), + ("平安银行 1分钟", lambda: find_lc1_bar_file(Market.SZ, "000001")), + ] + for label, finder in examples: + p = finder() + exists = "存在" if p.is_file() else "不存在" + print(f" {label}: {p} ({exists})") +else: + print("(需要 TDX_HOME)") + +# --- 设置环境变量的方式 --- +print(f"\n{'=' * 60}") +print("如何设置 TDX_HOME") +print("=" * 60) +print(" Windows CMD: set TDX_HOME=C:\\new_jyplug") +print(" Windows PS: $env:TDX_HOME = 'C:\\new_jyplug'") +print(" Linux/macOS: export TDX_HOME=/opt/new_tdx") diff --git a/examples/10_offline/ex_daily_bars.py b/examples/10_offline/ex_daily_bars.py new file mode 100644 index 0000000..e3a01e0 --- /dev/null +++ b/examples/10_offline/ex_daily_bars.py @@ -0,0 +1,69 @@ +"""演示：从本地通达信目录读取扩展市场日线数据。 + +扩展市场包括：期货、港股、外盘等。 +文件位于 vipdoc/ds/ 目录下，如 29#A1801.day + +需要本地已安装通达信并下载过扩展市场数据。 +""" + +from pathlib import Path + +from xmtdx.offline import detect_tdx_home, read_ex_daily_bars + +home = detect_tdx_home() +if home is None: + print("未检测到通达信安装目录，请设置 TDX_HOME 环境变量") + raise SystemExit(1) + +vipdoc = Path(home) / "vipdoc" / "ds" / "lday" + +# 列出 ds 目录下可用的 .day 文件 +day_files = sorted(vipdoc.glob("*.day")) if vipdoc.is_dir() else [] +if not day_files: + print(f"扩展市场目录为空或不存在: {vipdoc}") + print("请在通达信中下载扩展市场数据后再试") + raise SystemExit(0) + +print(f"可用文件 ({len(day_files)} 个):") +for f in day_files[:10]: + print(f" {f.name}") +if len(day_files) > 10: + print(f" ... 还有 {len(day_files) - 10} 个") + +# 读取第一个文件作为示例 +sample = day_files[5] +""" +可用文件 (211 个): + 12#A_IXIC.day + 38#1_GDP.day + 38#1_GDPI.day + 38#1_MSR.day + 38#2_CGPI.day + 38#2_CPI.day + 38#2_PPCI.day + 38#2_PPI.day + 38#2_PPPI.day + 38#3_BCI.day + ... 还有 201 个 + +读取: 38#2_CPI.day +共 250 条记录，最后 5 条: + 日期 开盘 最高 最低 收盘 结算 + 2025-12-31 100.80 100.80 100.80 100.80 0.00 + 2026-01-31 100.20 100.20 100.20 100.20 0.00 + 2026-02-28 101.30 101.30 101.30 101.30 0.00 + 2026-03-31 101.00 101.00 101.00 101.00 0.00 + 2026-04-30 101.20 101.20 101.20 101.20 0.00 +""" +print(f"\n读取: {sample.name}") +bars = read_ex_daily_bars(sample) + +if bars: + print(f"共 {len(bars)} 条记录，最后 5 条:") + print(f" {'日期':>12s} {'开盘':>8s} {'最高':>8s} {'最低':>8s} {'收盘':>8s} {'结算':>8s}") + for bar in bars[-5:]: + print( + f" {bar.year}-{bar.month:02d}-{bar.day:02d} " + f"{bar.open:>8.2f} {bar.high:>8.2f} " + f"{bar.low:>8.2f} {bar.close:>8.2f} {bar.settlement:>8.2f}" + ) diff --git a/examples/10_offline/gbbq.py b/examples/10_offline/gbbq.py new file mode 100644 index 0000000..e1c76ac --- /dev/null +++ b/examples/10_offline/gbbq.py @@ -0,0 +1,53 @@ +"""演示：从本地通达信目录读取股本变迁数据。 + +股本变迁文件包含分红、送股、配股、扩缩股等历史记录。 +数据使用 XOR 加密存储，读取时会自动解密。 + +需要本地已安装通达信。 +""" + +from pathlib import Path + +from xmtdx.offline import detect_tdx_home, read_gbbq + +home = detect_tdx_home() +if home is None: + print("未检测到通达信安装目录，请设置 TDX_HOME 环境变量") + raise SystemExit(1) + +gbbq_path = Path(home) / "T0002" / "hq_cache" / "gbbq" +if not gbbq_path.is_file(): + # 尝试其他可能的路径 + gbbq_path = Path(home) / "T0002" / "gbbq" + +if not gbbq_path.is_file(): + print(f"股本变迁文件不存在") + print(f" 尝试过: {Path(home) / 'T0002' / 'hq_cache' / 'gbbq'}") + print(f" 尝试过: {Path(home) / 'T0002' / 'gbbq'}") + print("请在通达信中确认 gbbq 文件的位置") + raise SystemExit(0) + +print(f"读取: {gbbq_path}") +records = read_gbbq(gbbq_path) + +if not records: + print("未读取到数据") + raise SystemExit(0) + +print(f"共 {len(records)} 条股本变迁记录\n") + +# 按代码分组统计 +from collections import Counter + +code_counts = Counter(r.code for r in records) +print(f"涉及 {len(code_counts)} 只股票") + +# 显示前 20 条记录 +print(f"\n前 20 条记录:") +print(f" {'市场':>4s} {'代码':>8s} {'日期':>10s} {'类别':>4s} {'红利/盘前流通':>12s} {'配股价/前总股本':>14s}") +for rec in records[:20]: + print( + f" {rec.market:>4d} {rec.code:>8s} {rec.datetime:>10d} " + f"{rec.category:>4d} {rec.hongli_panqianliutong:>12.4f} " + f"{rec.peigujia_qianzongguben:>14.4f}" + ) diff --git a/examples/10_offline/history_financial.py b/examples/10_offline/history_financial.py new file mode 100644 index 0000000..a4de6e9 --- /dev/null +++ b/examples/10_offline/history_financial.py @@ -0,0 +1,68 @@ +"""演示：从本地通达信目录读取历史财务数据。 + +支持两种文件格式： + - .dat 文件: 直接读取 + - .zip 文件: 自动解压后读取（如 gpcw20260331.zip） + +文件可通过 TdxClient.get_financial_file_list() + download_file() 获取， +也可从 calc 服务器下载。 + +需要本地有 gpcw*.dat 或 gpcw*.zip 文件。 +""" + +from pathlib import Path + +from xmtdx.offline import detect_tdx_home, read_history_financial + +home = detect_tdx_home() +if home is None: + print("未检测到通达信安装目录，请设置 TDX_HOME 环境变量") + raise SystemExit(1) + +# 常见的历史财务数据存放位置 +candidates = [ + Path(home) / "vipdoc" / "fin", + Path(home) / "T0002" / "fin", + Path.home() / "Downloads", + Path("."), +] + +# 查找可用的财务数据文件 +fin_files: list[Path] = [] +for d in candidates: + if d.is_dir(): + fin_files.extend(d.glob("gpcw*.dat")) + fin_files.extend(d.glob("gpcw*.zip")) + +if not fin_files: + print("未找到历史财务数据文件 (gpcw*.dat 或 gpcw*.zip)") + print("\n获取方式:") + print(" 1. 使用 TdxClient.get_financial_file_list() 查询可用文件") + print(" 2. 使用 TdxClient.download_file() 下载到本地") + raise SystemExit(0) + +print(f"找到 {len(fin_files)} 个财务数据文件:") +for f in fin_files: + print(f" {f}") + +# 读取第一个文件 +sample = fin_files[0] +print(f"\n读取: {sample.name}") +records = read_history_financial(sample) + +if not records: + print("未读取到数据") + raise SystemExit(0) + +print(f"共 {len(records)} 条记录") +print(f"\n前 10 条:") +print(f" {'代码':>8s} {'市场':>4s} {'报告期':>10s} {'字段数':>6s}") +for rec in records[:10]: + print(f" {rec.code:>8s} {rec.market.name:>4s} {rec.report_date:>10d} {len(rec.fields):>6d}") + +# 展示一只股票的详细数据 +if records: + rec = records[0] + print(f"\n{rec.code} ({rec.market.name}) 报告期 {rec.report_date} 的前 20 个字段:") + for i, val in enumerate(rec.fields[:20]): + print(f" 字段{i + 1:3d}: {val:>15.4f}") diff --git a/examples/10_offline/min_bars.py b/examples/10_offline/min_bars.py new file mode 100644 index 0000000..dea388b --- /dev/null +++ b/examples/10_offline/min_bars.py @@ -0,0 +1,83 @@ +"""演示：从本地通达信目录读取分钟 K 线数据。 + +支持三种文件格式： + - .5 文件: vipdoc/{sh,sz}/fzline/ (OHLC 为整数÷100) + - .lc1 文件: vipdoc/{sh,sz}/fzline/ (OHLC 为浮点数) + - .lc5 文件: vipdoc/{sh,sz}/fzline/ (OHLC 为浮点数) + +需要本地已安装通达信并下载过分钟数据。 +""" + +from xmtdx.offline import ( + detect_tdx_home, + read_5min_bars, + read_lc_min_bars, + find_5min_bar_file, + find_lc1_bar_file, + find_lc5_bar_file, +) +from xmtdx import Market + +home = detect_tdx_home() +if home is None: + print("未检测到通达信安装目录，请设置 TDX_HOME 环境变量") + raise SystemExit(1) + +""" +# --- .5 文件 (5 分钟线) --- +print("=" * 60) +print("5 分钟线 (.5 文件)") +print("=" * 60) + +filepath = find_5min_bar_file(Market.SH, "600000") +bars = read_5min_bars(filepath) +if bars: + print(f"共 {len(bars)} 条记录，最后 5 条:") + for bar in bars[-5:]: + print( + f" {bar.year}-{bar.month:02d}-{bar.day:02d} " + f"{bar.hour:02d}:{bar.minute:02d} " + f"开{bar.open:>7.2f} 高{bar.high:>7.2f} " + f"低{bar.low:>7.2f} 收{bar.close:>7.2f} 量{bar.vol:>8.0f}" + ) +else: + print("未读取到数据") + +# --- .lc1 文件 (1 分钟线) --- +print(f"\n{'=' * 60}") +print("1 分钟线 (.lc1 文件)") +print("=" * 60) + +filepath = find_lc1_bar_file(Market.SH, "600000") +bars = read_lc_min_bars(filepath) +if bars: + print(f"共 {len(bars)} 条记录，最后 5 条:") + for bar in bars[-5:]: + print( + f" {bar.year}-{bar.month:02d}-{bar.day:02d} " + f"{bar.hour:02d}:{bar.minute:02d} " + f"开{bar.open:>7.2f} 高{bar.high:>7.2f} " + f"低{bar.low:>7.2f} 收{bar.close:>7.2f} 量{bar.vol:>8.0f}" + ) +else: + print("未读取到数据") +""" + +# --- .lc5 文件 (5 分钟线) --- +print(f"\n{'=' * 60}") +print("5 分钟线 (.lc5 文件)") +print("=" * 60) + +filepath = find_lc5_bar_file(Market.SZ, "002176") +bars = read_lc_min_bars(filepath) +if bars: + print(f"共 {len(bars)} 条记录，最后 5 条:") + for bar in bars[-5:]: + print( + f" {bar.year}-{bar.month:02d}-{bar.day:02d} " + f"{bar.hour:02d}:{bar.minute:02d} " + f"开{bar.open:>7.2f} 高{bar.high:>7.2f} " + f"低{bar.low:>7.2f} 收{bar.close:>7.2f} 量{bar.vol:>8.0f}" + ) +else: + print("未读取到数据") diff --git a/src/xmtdx/ex/__init__.py b/src/xmtdx/ex/__init__.py new file mode 100644 index 0000000..dd8be76 --- /dev/null +++ b/src/xmtdx/ex/__init__.py @@ -0,0 +1,11 @@ +"""xmtdx.ex — 通达信扩展行情（期货、港股、外股等，端口 7727）。""" + +from .client import AsyncExTdxClient, ExTdxClient +from .models import KNOWN_EX_HOSTS, KNOWN_EX_MARKETS + +__all__ = [ + "ExTdxClient", + "AsyncExTdxClient", + "KNOWN_EX_HOSTS", + "KNOWN_EX_MARKETS", +] diff --git a/src/xmtdx/ex/client.py b/src/xmtdx/ex/client.py new file mode 100644 index 0000000..05b02e8 --- /dev/null +++ b/src/xmtdx/ex/client.py @@ -0,0 +1,439 @@ +"""扩展行情高层 API：ExTdxClient（同步）和 AsyncExTdxClient（asyncio）。""" + +import asyncio +from collections import OrderedDict +from types import TracebackType +from typing import TypeVar + +from ..commands.base import BaseCommand +from ..exceptions import TdxConnectionError +from .commands.get_history_bars_range import GetExHistoryInstrumentBarsRangeCmd +from .commands.get_instrument_bars import GetExInstrumentBarsCmd +from .commands.get_instrument_count import GetExInstrumentCountCmd +from .commands.get_instrument_info import GetExInstrumentInfoCmd +from .commands.get_instrument_quote import GetExInstrumentQuoteCmd +from .commands.get_instrument_quote_list import GetExInstrumentQuoteListCmd +from .commands.get_markets import GetExMarketsCmd +from .commands.get_minute_time import ( + GetExHistoryMinuteTimeDataCmd, + GetExMinuteTimeDataCmd, +) +from .commands.get_transaction import ( + GetExHistoryTransactionDataCmd, + GetExTransactionDataCmd, +) +from .models import ( + KNOWN_EX_HOSTS, + ExInstrumentBar, + ExInstrumentInfo, + ExInstrumentQuote, + ExMarketInfo, + ExMinuteBar, + ExTransactionRecord, +) +from .transport.async_ import AsyncExTdxConnection +from .transport.sync import ExTdxConnection, ping_ex_all + +_DEFAULT_EX_PORT = 7727 +_T = TypeVar("_T") + + +# ============================================================ +# 同步客户端 +# ============================================================ + + +class ExTdxClient: + """同步扩展行情客户端（期货、港股、外股等，端口 7727）。 + + 使用示例:: + + with ExTdxClient("61.152.107.141") as c: + markets = c.get_markets() + quote = c.get_instrument_quote(47, "IFL0") + """ + + def __init__( + self, + host: str = KNOWN_EX_HOSTS[0], + port: int = _DEFAULT_EX_PORT, + timeout: float = 15.0, + auto_reconnect: bool = True, + ) -> None: + self._host = host + self._port = port + self._timeout = timeout + self._auto_reconnect = auto_reconnect + self._conn = ExTdxConnection(host, port, timeout) + + @classmethod + def from_best_host( + cls, + hosts: list[str] | None = None, + port: int = _DEFAULT_EX_PORT, + timeout: float = 15.0, + ping_timeout: float = 5.0, + auto_reconnect: bool = True, + ) -> "ExTdxClient": + """测量所有扩展行情服务器延迟，选最低延迟建立连接。""" + ranked = ping_ex_all(hosts, port, ping_timeout) + best = ranked[0][0] if ranked else (hosts or KNOWN_EX_HOSTS)[0] + return cls(best, port, timeout, auto_reconnect) + + @staticmethod + def ping_all( + hosts: list[str] | None = None, + port: int = _DEFAULT_EX_PORT, + timeout: float = 5.0, + ) -> list[tuple[str, float]]: + return ping_ex_all(hosts, port, timeout) + + # ------------------------------------------------------------------ # + # 连接管理 + # ------------------------------------------------------------------ # + + def connect(self) -> None: + self._conn.connect() + + def close(self) -> None: + self._conn.close() + + def __enter__(self) -> "ExTdxClient": + self.connect() + return self + + def __exit__( + self, + exc_type: type[BaseException] | None, + exc_val: BaseException | None, + exc_tb: TracebackType | None, + ) -> None: + self.close() + + def _execute(self, cmd: "BaseCommand[_T]") -> _T: + try: + return self._conn.execute(cmd) + except TdxConnectionError: + if not self._auto_reconnect: + raise + self._conn.close() + self._conn = ExTdxConnection(self._host, self._port, self._timeout) + self._conn.connect() + return self._conn.execute(cmd) + + # ------------------------------------------------------------------ # + # 市场信息 + # ------------------------------------------------------------------ # + + def get_markets(self) -> list[ExMarketInfo]: + """获取扩展行情支持的市场列表。""" + return self._execute(GetExMarketsCmd()) + + def get_instrument_count(self) -> int: + """获取扩展行情商品总数。""" + return self._execute(GetExInstrumentCountCmd()) + + def get_instrument_info(self, start: int, count: int = 100) -> list[ExInstrumentInfo]: + """获取商品信息列表（分页）。""" + return self._execute(GetExInstrumentInfoCmd(start, count)) + + # ------------------------------------------------------------------ # + # 行情 + # ------------------------------------------------------------------ # + + def get_instrument_quote(self, market: int, code: str) -> ExInstrumentQuote | None: + """获取单个商品五档实时行情。""" + return self._execute(GetExInstrumentQuoteCmd(market, code)) + + def get_instrument_quote_list( + self, + market: int, + category: int, + start: int = 0, + count: int = 80, + ) -> list[OrderedDict[str, object]]: + """按类别获取商品行情列表。""" + return self._execute(GetExInstrumentQuoteListCmd(market, category, start, count)) + + # ------------------------------------------------------------------ # + # K线 + # ------------------------------------------------------------------ # + + def get_instrument_bars( + self, + category: int, + market: int, + code: str, + start: int = 0, + count: int = 700, + ) -> list[ExInstrumentBar]: + """获取K线数据。""" + return self._execute(GetExInstrumentBarsCmd(category, market, code, start, count)) + + def get_history_instrument_bars_range( + self, + market: int, + code: str, + start_date: int, + end_date: int, + ) -> list[ExInstrumentBar]: + """按日期范围获取历史K线。""" + return self._execute(GetExHistoryInstrumentBarsRangeCmd(market, code, start_date, end_date)) + + # ------------------------------------------------------------------ # + # 分时 + # ------------------------------------------------------------------ # + + def get_minute_time_data(self, market: int, code: str) -> list[ExMinuteBar]: + """获取当日分时行情数据。""" + return self._execute(GetExMinuteTimeDataCmd(market, code)) + + def get_history_minute_time_data( + self, + market: int, + code: str, + date: int, + ) -> list[ExMinuteBar]: + """获取历史某日分时行情数据（date: YYYYMMDD）。""" + return self._execute(GetExHistoryMinuteTimeDataCmd(market, code, date)) + + # ------------------------------------------------------------------ # + # 成交 + # ------------------------------------------------------------------ # + + def get_transaction_data( + self, + market: int, + code: str, + start: int = 0, + count: int = 1800, + ) -> list[ExTransactionRecord]: + """获取当日分笔成交数据。""" + return self._execute(GetExTransactionDataCmd(market, code, start, count)) + + def get_history_transaction_data( + self, + market: int, + code: str, + date: int, + start: int = 0, + count: int = 1800, + ) -> list[ExTransactionRecord]: + """获取历史某日分笔成交数据（date: YYYYMMDD）。""" + return self._execute(GetExHistoryTransactionDataCmd(market, code, date, start, count)) + + +# ============================================================ +# 异步客户端 +# ============================================================ + + +class AsyncExTdxClient: + """异步扩展行情客户端（asyncio，端口 7727）。 + + 使用示例:: + + async with AsyncExTdxClient("61.152.107.141") as c: + markets = await c.get_markets() + """ + + def __init__( + self, + host: str = KNOWN_EX_HOSTS[0], + port: int = _DEFAULT_EX_PORT, + timeout: float = 15.0, + auto_reconnect: bool = True, + heartbeat_interval: float = 60.0, + ) -> None: + self._host = host + self._port = port + self._timeout = timeout + self._auto_reconnect = auto_reconnect + self._heartbeat_interval = heartbeat_interval + self._conn = AsyncExTdxConnection(host, port, timeout) + self._execute_lock = asyncio.Lock() + self._heartbeat_task: asyncio.Task[None] | None = None + + @classmethod + def from_best_host( + cls, + hosts: list[str] | None = None, + port: int = _DEFAULT_EX_PORT, + timeout: float = 15.0, + ping_timeout: float = 5.0, + auto_reconnect: bool = True, + heartbeat_interval: float = 60.0, + ) -> "AsyncExTdxClient": + ranked = ping_ex_all(hosts, port, ping_timeout) + best = ranked[0][0] if ranked else (hosts or KNOWN_EX_HOSTS)[0] + return cls(best, port, timeout, auto_reconnect, heartbeat_interval) + + @staticmethod + def ping_all( + hosts: list[str] | None = None, + port: int = _DEFAULT_EX_PORT, + timeout: float = 5.0, + ) -> list[tuple[str, float]]: + return ping_ex_all(hosts, port, timeout) + + # ------------------------------------------------------------------ # + # 连接管理 + # ------------------------------------------------------------------ # + + async def connect(self) -> None: + await self._conn.connect() + self._start_heartbeat() + + async def close(self) -> None: + await self._stop_heartbeat() + await self._conn.close() + + async def __aenter__(self) -> "AsyncExTdxClient": + await self.connect() + return self + + async def __aexit__( + self, + exc_type: type[BaseException] | None, + exc_val: BaseException | None, + exc_tb: TracebackType | None, + ) -> None: + await self.close() + + def _start_heartbeat(self) -> None: + if self._heartbeat_interval <= 0: + return + if self._heartbeat_task is not None: + self._heartbeat_task.cancel() + self._heartbeat_task = asyncio.create_task(self._heartbeat_loop()) + + async def _stop_heartbeat(self) -> None: + if self._heartbeat_task: + self._heartbeat_task.cancel() + try: + await self._heartbeat_task + except asyncio.CancelledError: + pass + self._heartbeat_task = None + + async def _heartbeat_loop(self) -> None: + while True: + try: + await asyncio.sleep(self._heartbeat_interval) + await self.get_instrument_count() + except asyncio.CancelledError: + break + except Exception: + pass + + async def _execute(self, cmd: "BaseCommand[_T]") -> _T: + async with self._execute_lock: + try: + return await self._conn.execute(cmd) + except TdxConnectionError: + if not self._auto_reconnect: + raise + await self._conn.close() + self._conn = AsyncExTdxConnection(self._host, self._port, self._timeout) + await self._conn.connect() + return await self._conn.execute(cmd) + + # ------------------------------------------------------------------ # + # 市场信息 + # ------------------------------------------------------------------ # + + async def get_markets(self) -> list[ExMarketInfo]: + return await self._execute(GetExMarketsCmd()) + + async def get_instrument_count(self) -> int: + return await self._execute(GetExInstrumentCountCmd()) + + async def get_instrument_info( + self, + start: int, + count: int = 100, + ) -> list[ExInstrumentInfo]: + return await self._execute(GetExInstrumentInfoCmd(start, count)) + + # ------------------------------------------------------------------ # + # 行情 + # ------------------------------------------------------------------ # + + async def get_instrument_quote( + self, + market: int, + code: str, + ) -> ExInstrumentQuote | None: + return await self._execute(GetExInstrumentQuoteCmd(market, code)) + + async def get_instrument_quote_list( + self, + market: int, + category: int, + start: int = 0, + count: int = 80, + ) -> list[OrderedDict[str, object]]: + return await self._execute(GetExInstrumentQuoteListCmd(market, category, start, count)) + + # ------------------------------------------------------------------ # + # K线 + # ------------------------------------------------------------------ # + + async def get_instrument_bars( + self, + category: int, + market: int, + code: str, + start: int = 0, + count: int = 700, + ) -> list[ExInstrumentBar]: + return await self._execute(GetExInstrumentBarsCmd(category, market, code, start, count)) + + async def get_history_instrument_bars_range( + self, + market: int, + code: str, + start_date: int, + end_date: int, + ) -> list[ExInstrumentBar]: + return await self._execute( + GetExHistoryInstrumentBarsRangeCmd(market, code, start_date, end_date) + ) + + # ------------------------------------------------------------------ # + # 分时 + # ------------------------------------------------------------------ # + + async def get_minute_time_data(self, market: int, code: str) -> list[ExMinuteBar]: + return await self._execute(GetExMinuteTimeDataCmd(market, code)) + + async def get_history_minute_time_data( + self, + market: int, + code: str, + date: int, + ) -> list[ExMinuteBar]: + return await self._execute(GetExHistoryMinuteTimeDataCmd(market, code, date)) + + # ------------------------------------------------------------------ # + # 成交 + # ------------------------------------------------------------------ # + + async def get_transaction_data( + self, + market: int, + code: str, + start: int = 0, + count: int = 1800, + ) -> list[ExTransactionRecord]: + return await self._execute(GetExTransactionDataCmd(market, code, start, count)) + + async def get_history_transaction_data( + self, + market: int, + code: str, + date: int, + start: int = 0, + count: int = 1800, + ) -> list[ExTransactionRecord]: + return await self._execute(GetExHistoryTransactionDataCmd(market, code, date, start, count)) diff --git a/src/xmtdx/ex/commands/__init__.py b/src/xmtdx/ex/commands/__init__.py new file mode 100644 index 0000000..343a6b3 --- /dev/null +++ b/src/xmtdx/ex/commands/__init__.py @@ -0,0 +1 @@ +"""扩展行情命令模块。""" diff --git a/src/xmtdx/ex/commands/get_history_bars_range.py b/src/xmtdx/ex/commands/get_history_bars_range.py new file mode 100644 index 0000000..c25ff55 --- /dev/null +++ b/src/xmtdx/ex/commands/get_history_bars_range.py @@ -0,0 +1,76 @@ +"""获取扩展行情历史K线（按日期范围）。""" + +import struct + +from ...commands.base import BaseCommand +from ..models import ExInstrumentBar + + +class GetExHistoryInstrumentBarsRangeCmd(BaseCommand[list[ExInstrumentBar]]): + """按日期范围获取历史K线数据。""" + + _seqid: int = 1 + + def __init__(self, market: int, code: str, start_date: int, end_date: int) -> None: + self.market = market + self.code = code.encode("utf-8") + self.start_date = start_date + self.end_date = end_date + + def build_request(self) -> bytes: + pkg = bytearray.fromhex("01") + pkg.extend(struct.pack(" tuple[int, int, int]: + year = num // 2048 + 2004 + month = (num % 2048) // 100 + day = (num % 2048) % 100 + return year, month, day + + @staticmethod + def _parse_time(num: int) -> tuple[int, int]: + return num // 60, num % 60 + + def parse_response(self, body: bytes) -> list[ExInstrumentBar]: + pos = 12 # skip 12-byte header + if pos + 2 > len(body): + return [] + (ret_count,) = struct.unpack(" len(body): + break + record_start = pos + (d1, d2, open_p, high, low, close_p, position, trade, settlement) = struct.unpack( + " None: + self.category = category + self.market = market + self.code = code.encode("utf-8") + self.start = start + self.count = count + + def build_request(self) -> bytes: + header = bytes.fromhex("01 01 08 6a 01 01 16 00 16 00 ff 23") + return header + struct.pack( + " list[ExInstrumentBar]: + pos = 18 # skip 18-byte header + if pos + 2 > len(body): + return [] + (ret_count,) = struct.unpack(" len(body): + break + (open_p, high, low, close_p, position, trade, _price) = struct.unpack( + " bytes: + return bytes.fromhex("01 03 48 66 00 01 02 00 02 00 f0 23") + + def parse_response(self, body: bytes) -> int: + if len(body) < 23: + return 0 + (count,) = unpack_from(" None: + self.start = start + self.count = count + + def build_request(self) -> bytes: + header = bytes.fromhex("01 04 48 67 00 01 08 00 08 00 f5 23") + return header + struct.pack(" list[ExInstrumentInfo]: + if len(body) < 6: + return [] + pos = 0 + (_start, _count) = struct.unpack(" len(body): + break + raw = body[pos : pos + 64] + (category, market, _unused, raw_code, raw_name, raw_desc) = struct.unpack( + " None: + self.market = market + self.code = code.encode("utf-8") + + def build_request(self) -> bytes: + header = bytes.fromhex("01 01 08 02 02 01 0c 00 0c 00 fa 23") + return header + struct.pack(" ExInstrumentQuote | None: + if len(body) < 150: + return None + pos = 0 + (market, raw_code) = struct.unpack(" None: + self.market = market + self.category = category + self.start = start + self.count = count + + def build_request(self) -> bytes: + header = bytes.fromhex("01 c1 06 0b 00 02 0b 00 0b 00 00 24") + return header + struct.pack( + " list[OrderedDict[str, object]]: + if len(body) < 2: + return [] + (num,) = struct.unpack(" len(body): + break + (market, raw_code) = struct.unpack(" int: + if pos + 140 > len(body): + return pos + 290 + ( + bi_shu, + zuo_jie, + jin_kai, + zui_gao, + zui_di, + mai_chu, + kai_cang, + _unk1, + zong_liang, + xian_liang, + zong_jin_e, + nei_pan, + wai_pan, + _unk2, + chi_cang_liang, + mai_ru_jia, + _u1, + _u2, + _u3, + _u4, + mai_ru_liang, + _u5, + _u6, + _u7, + _u8, + mai_chu_jia, + _u9, + _u10, + _u11, + _u12, + mai_chu_liang, + _u13, + _u14, + _u15, + ) = struct.unpack(" int: + if pos + 140 > len(body): + return pos + 290 + ( + huo_yue_du, + zuo_shou, + jin_kai, + zui_gao, + zui_di, + xian_jia, + _unk1, + mai_ru_jia, + zong_liang, + xian_liang, + zong_jin_e, + _unk2, + _unk3, + nei, + wai, + mrj1, + mrj2, + mrj3, + mrj4, + mrj5, + mrl1, + mrl2, + mrl3, + mrl4, + mrl5, + mcj1, + mcj2, + mcj3, + mcj4, + mcj5, + mcl1, + mcl2, + mcl3, + mcl4, + mcl5, + ) = struct.unpack(" bytes: + return bytes.fromhex("01 02 48 69 00 01 02 00 02 00 f4 23") + + def parse_response(self, body: bytes) -> list[ExMarketInfo]: + if len(body) < 2: + return [] + (count,) = unpack_from(" len(body): + break + raw = body[pos : pos + 64] + (category, raw_name, market, raw_short_name) = struct.unpack(" None: + self.market = market + self.code = code.encode("utf-8") + + def build_request(self) -> bytes: + header = bytes.fromhex("01 07 08 00 01 01 0c 00 0c 00 0b 24") + return header + struct.pack(" list[ExMinuteBar]: + if len(body) < 12: + return [] + pos = 0 + (market, raw_code, num) = struct.unpack(" list[ExMinuteBar]: + results: list[ExMinuteBar] = [] + for _ in range(num): + if pos + 18 > len(body): + break + record_start = pos + (raw_time, price, avg_price, volume, amount) = struct.unpack( + " None: + self.market = market + self.code = code.encode("utf-8") + self.date = date + + def build_request(self) -> bytes: + header = bytes.fromhex("01 01 30 00 01 01 10 00 10 00 0c 24") + return header + struct.pack(" list[ExMinuteBar]: + if len(body) < 20: + return [] + pos = 0 + (_market, _code, _unk, num) = struct.unpack(" None: + self.market = market + self.code = code.encode("utf-8") + self.start = start + self.count = count + + def build_request(self) -> bytes: + header = bytes.fromhex("01 01 08 00 03 01 12 00 12 00 fc 23") + return header + struct.pack(" list[ExTransactionRecord]: + if len(body) < 16: + return [] + pos = 0 + (_market, _code, _unk, num) = struct.unpack(" list[ExTransactionRecord]: + results: list[ExTransactionRecord] = [] + for _ in range(num): + if pos + 16 > len(body): + break + record_start = pos + (raw_time, price, volume, zengcang, direction) = struct.unpack( + " 59: + second = 0 + nature = direction // 10000 + results.append( + ExTransactionRecord( + hour=hour, + minute=minute, + second=second, + price=price, + volume=volume, + zengcang=zengcang, + nature=nature, + _raw=body[record_start:pos], + ) + ) + return results + + +class GetExHistoryTransactionDataCmd(BaseCommand[list[ExTransactionRecord]]): + """获取历史某日分笔成交数据。""" + + def __init__( + self, + market: int, + code: str, + date: int, + start: int = 0, + count: int = 1800, + ) -> None: + self.market = market + self.code = code.encode("utf-8") + self.date = date + self.start = start + self.count = count + + def build_request(self) -> bytes: + header = bytes.fromhex("01 01 30 00 02 01 16 00 16 00 06 24") + return header + struct.pack( + " list[ExTransactionRecord]: + if len(body) < 16: + return [] + pos = 0 + (_market, _code, _unk, num) = struct.unpack(" None: + self.host = host + self.port = port + self.timeout = timeout + self._reader: asyncio.StreamReader | None = None + self._writer: asyncio.StreamWriter | None = None + self._io_lock = asyncio.Lock() + + async def connect(self) -> None: + async with self._io_lock: + if self._writer is not None and not self._writer.is_closing(): + return + await self._connect_unlocked() + + async def close(self) -> None: + async with self._io_lock: + await self._close_unlocked() + + async def execute(self, cmd: "BaseCommand[T]") -> T: + async with self._io_lock: + if self._writer is None or self._reader is None: + raise TdxConnectionError("未连接，请先调用 connect()") + request = cmd.build_request() + try: + self._writer.write(request) + await asyncio.wait_for(self._writer.drain(), timeout=self.timeout) + header_buf = await self._recv_exact(HEADER_SIZE) + header = parse_header(header_buf) + raw_body = await self._recv_exact(header.zipsize) + except asyncio.TimeoutError as e: + await self._close_unlocked() + raise TdxConnectionError(f"通信超时: {self.timeout}s") from e + except (OSError, asyncio.IncompleteReadError) as e: + await self._close_unlocked() + raise TdxConnectionError(f"通信错误: {e}") from e + + body = decompress_body(header, raw_body) + return cmd.parse_response(body) + + async def _connect_unlocked(self) -> None: + try: + reader, writer = await asyncio.wait_for( + asyncio.open_connection(self.host, self.port), + timeout=self.timeout, + ) + except (OSError, asyncio.TimeoutError) as e: + raise TdxConnectionError(f"无法连接 {self.host}:{self.port}: {e}") from e + self._reader = reader + self._writer = writer + try: + await self._send_setup() + except Exception: + await self._close_unlocked() + raise + + async def _close_unlocked(self) -> None: + if self._writer is not None: + try: + self._writer.close() + await self._writer.wait_closed() + except OSError: + pass + self._reader = None + self._writer = None + + async def __aenter__(self) -> "AsyncExTdxConnection": + await self.connect() + return self + + async def __aexit__( + self, + exc_type: type[BaseException] | None, + exc_val: BaseException | None, + exc_tb: TracebackType | None, + ) -> None: + await self.close() + + async def _send_setup(self) -> None: + """发送单条扩展行情握手命令并丢弃响应。""" + assert self._writer is not None + assert self._reader is not None + self._writer.write(EX_SETUP_CMD) + await asyncio.wait_for(self._writer.drain(), timeout=self.timeout) + try: + hdr_buf = await self._recv_exact(HEADER_SIZE) + hdr = parse_header(hdr_buf) + if hdr.zipsize > 0: + await self._recv_exact(hdr.zipsize) + except (OSError, asyncio.TimeoutError, asyncio.IncompleteReadError): + pass + + async def _recv_exact(self, n: int) -> bytes: + assert self._reader is not None + return await asyncio.wait_for( + self._reader.readexactly(n), + timeout=self.timeout, + ) diff --git a/src/xmtdx/ex/transport/sync.py b/src/xmtdx/ex/transport/sync.py new file mode 100644 index 0000000..0bada44 --- /dev/null +++ b/src/xmtdx/ex/transport/sync.py @@ -0,0 +1,163 @@ +"""扩展行情同步 TCP 连接（端口 7727）。""" + +import socket +import time +from types import TracebackType +from typing import TYPE_CHECKING, TypeVar + +from ...codec.frame import HEADER_SIZE, decompress_body, parse_header +from ...exceptions import TdxConnectionError +from ..commands.setup import EX_SETUP_CMD +from ..models import KNOWN_EX_HOSTS + +if TYPE_CHECKING: + from ...commands.base import BaseCommand + +T = TypeVar("T") + +_DEFAULT_EX_PORT = 7727 +_DEFAULT_TIMEOUT = 15.0 + + +def ping_ex_host( + host: str, + port: int = _DEFAULT_EX_PORT, + timeout: float = 5.0, +) -> float | None: + """测量扩展行情服务器延迟（秒）。失败返回 None。""" + t0 = time.monotonic() + sock = socket.socket(socket.AF_INET, socket.SOCK_STREAM) + sock.settimeout(timeout) + try: + sock.connect((host, port)) + sock.sendall(EX_SETUP_CMD) + hdr_buf = _recv_exact_sock(sock, HEADER_SIZE) + hdr = parse_header(hdr_buf) + if hdr.zipsize > 0: + _recv_exact_sock(sock, hdr.zipsize) + return time.monotonic() - t0 + except OSError: + return None + finally: + try: + sock.close() + except OSError: + pass + + +def ping_ex_all( + hosts: list[str] | None = None, + port: int = _DEFAULT_EX_PORT, + timeout: float = 5.0, +) -> list[tuple[str, float]]: + """并发测量多台扩展行情服务器延迟，按延迟排序返回。""" + import concurrent.futures + + if hosts is None: + hosts = KNOWN_EX_HOSTS + results: list[tuple[str, float]] = [] + with concurrent.futures.ThreadPoolExecutor(max_workers=len(hosts)) as pool: + futures = {pool.submit(ping_ex_host, h, port, timeout): h for h in hosts} + for fut in concurrent.futures.as_completed(futures): + host = futures[fut] + latency = fut.result() + if latency is not None: + results.append((host, latency)) + results.sort(key=lambda t: t[1]) + return results + + +def _recv_exact_sock(sock: socket.socket, n: int) -> bytes: + buf = bytearray() + while len(buf) < n: + chunk = sock.recv(n - len(buf)) + if not chunk: + raise TdxConnectionError("连接被服务器关闭") + buf.extend(chunk) + return bytes(buf) + + +class ExTdxConnection: + """扩展行情同步 TCP 连接（端口 7727，单包握手）。""" + + def __init__( + self, + host: str = KNOWN_EX_HOSTS[0], + port: int = _DEFAULT_EX_PORT, + timeout: float = _DEFAULT_TIMEOUT, + ) -> None: + self.host = host + self.port = port + self.timeout = timeout + self._sock: socket.socket | None = None + + def connect(self) -> None: + """建立 TCP 连接并完成扩展行情握手。""" + sock = socket.socket(socket.AF_INET, socket.SOCK_STREAM) + sock.settimeout(self.timeout) + try: + sock.connect((self.host, self.port)) + except OSError as e: + sock.close() + raise TdxConnectionError(f"无法连接 {self.host}:{self.port}: {e}") from e + self._sock = sock + try: + self._send_setup() + except Exception: + try: + sock.close() + except OSError: + pass + self._sock = None + raise + + def close(self) -> None: + if self._sock is not None: + try: + self._sock.close() + except OSError: + pass + self._sock = None + + def execute(self, cmd: "BaseCommand[T]") -> T: + """执行一条命令：发送请求，接收并解压响应，返回解析结果。""" + if self._sock is None: + raise TdxConnectionError("未连接，请先调用 connect()") + request = cmd.build_request() + try: + self._sock.sendall(request) + header_buf = self._recv_exact(HEADER_SIZE) + header = parse_header(header_buf) + raw_body = self._recv_exact(header.zipsize) + except OSError as e: + raise TdxConnectionError(f"通信错误: {e}") from e + body = decompress_body(header, raw_body) + return cmd.parse_response(body) + + def __enter__(self) -> "ExTdxConnection": + self.connect() + return self + + def __exit__( + self, + exc_type: type[BaseException] | None, + exc_val: BaseException | None, + exc_tb: TracebackType | None, + ) -> None: + self.close() + + def _send_setup(self) -> None: + """发送单条扩展行情握手命令并丢弃响应。""" + assert self._sock is not None + self._sock.sendall(EX_SETUP_CMD) + try: + hdr_buf = self._recv_exact(HEADER_SIZE) + hdr = parse_header(hdr_buf) + if hdr.zipsize > 0: + self._recv_exact(hdr.zipsize) + except OSError: + pass + + def _recv_exact(self, n: int) -> bytes: + assert self._sock is not None + return _recv_exact_sock(self._sock, n) diff --git a/src/xmtdx/exceptions.py b/src/xmtdx/exceptions.py index 25b0581..b80bb5d 100644 --- a/src/xmtdx/exceptions.py +++ b/src/xmtdx/exceptions.py @@ -15,3 +15,11 @@ class TdxDecodeError(TdxError): class TdxCommandError(TdxError): """命令执行失败（服务器返回错误）""" + + +class TdxFileNotFoundError(TdxError): + """本地数据文件不存在""" + + +class TdxOfflineError(TdxError): + """离线数据读取失败（路径未配置、文件格式错误等）""" diff --git a/src/xmtdx/offline/__init__.py b/src/xmtdx/offline/__init__.py new file mode 100644 index 0000000..6600ef0 --- /dev/null +++ b/src/xmtdx/offline/__init__.py @@ -0,0 +1,37 @@ +"""离线数据读取模块 —— 从本地通达信安装目录读取数据文件。""" + +from .block import CustomerBlock, read_block_dat, read_customer_blocks +from .daily_bar import find_daily_bar_file, read_daily_bars +from .ex_daily_bar import ExDailyBar, read_ex_daily_bars +from .finders import find_5min_bar_file, find_lc1_bar_file, find_lc5_bar_file +from .gbbq import GbbqRecord, read_gbbq +from .history_financial import read_history_financial +from .min_bar import read_5min_bars, read_lc_min_bars +from .paths import detect_tdx_home, resolve_vipdoc + +__all__ = [ + # 路径 + "detect_tdx_home", + "resolve_vipdoc", + # 日线 + "read_daily_bars", + "find_daily_bar_file", + # 分钟线 + "read_5min_bars", + "read_lc_min_bars", + "find_5min_bar_file", + "find_lc1_bar_file", + "find_lc5_bar_file", + # 扩展市场 + "ExDailyBar", + "read_ex_daily_bars", + # 板块 + "CustomerBlock", + "read_block_dat", + "read_customer_blocks", + # 股本变迁 + "GbbqRecord", + "read_gbbq", + # 历史财务 + "read_history_financial", +] diff --git a/src/xmtdx/offline/block.py b/src/xmtdx/offline/block.py new file mode 100644 index 0000000..8a4a6ba --- /dev/null +++ b/src/xmtdx/offline/block.py @@ -0,0 +1,92 @@ +"""板块数据读取（.dat 文件和自定义板块目录）。""" + +from dataclasses import dataclass, field +from pathlib import Path + +from ..codec.block import parse_block_dat +from ..exceptions import TdxFileNotFoundError, TdxOfflineError +from ..models.finance import TdxBlock + + +@dataclass +class CustomerBlock: + """自定义板块。""" + + blockname: str + block_type: str + codes: list[str] = field(default_factory=list) + + +def read_block_dat(filepath: str | Path) -> list[TdxBlock]: + """从本地 .dat 板块文件读取板块数据。 + + 直接复用 codec/block.py 的 parse_block_dat()。 + + Args: + filepath: .dat 文件路径（如 block_zs.dat）。 + + Returns: + TdxBlock 列表。 + """ + filepath = Path(filepath) + if not filepath.is_file(): + raise TdxFileNotFoundError(f"板块数据文件不存在: {filepath}") + data = filepath.read_bytes() + return parse_block_dat(data, filename=filepath.name) + + +def read_customer_blocks(block_dir: str | Path) -> list[CustomerBlock]: + """从通达信自定义板块目录读取板块数据。 + + 目录结构： + blocknew.cfg — 板块索引（120 字节/条：50B 名称 + 70B 文件名） + *.blk — 板块内容（每行一个代码，首位为市场标识） + + Args: + block_dir: 自定义板块目录路径。 + + Returns: + CustomerBlock 列表。 + """ + block_dir = Path(block_dir) + if not block_dir.is_dir(): + raise TdxOfflineError(f"自定义板块目录不存在: {block_dir}") + + cfg_path = block_dir / "blocknew.cfg" + if not cfg_path.is_file(): + raise TdxOfflineError(f"板块配置文件不存在: {cfg_path}") + + cfg_data = cfg_path.read_bytes() + results: list[CustomerBlock] = [] + pos = 0 + + while pos + 120 <= len(cfg_data): + name = cfg_data[pos : pos + 50].decode("gbk", errors="replace").rstrip("\x00") + name = name.split("\x00")[0] + blk_filename = cfg_data[pos + 50 : pos + 120].decode("gbk", errors="replace").rstrip("\x00") + blk_filename = blk_filename.split("\x00")[0] + pos += 120 + + if not blk_filename: + continue + + blk_path = block_dir / f"{blk_filename}.blk" + if not blk_path.is_file(): + continue + + codes: list[str] = [] + for line in blk_path.read_text(encoding="utf-8", errors="replace").splitlines(): + line = line.strip() + if line and len(line) > 1: + codes.append(line[1:]) # 去掉首位的市场标识 + + if name: + results.append( + CustomerBlock( + blockname=name, + block_type=blk_filename, + codes=codes, + ) + ) + + return results diff --git a/src/xmtdx/offline/daily_bar.py b/src/xmtdx/offline/daily_bar.py new file mode 100644 index 0000000..776f186 --- /dev/null +++ b/src/xmtdx/offline/daily_bar.py @@ -0,0 +1,131 @@ +"""日线 K 线数据读取（.day 文件）。""" + +import struct +from pathlib import Path + +from ..exceptions import TdxFileNotFoundError +from ..models.bar import SecurityBar +from .paths import _market_to_exchange, resolve_vipdoc + +# struct 格式：日期(YYYYMMDD) 开盘 最高 最低 收盘 成交额 成交量 保留 +# 全部为小端序，32 字节/条 +_DAILY_FMT = struct.Struct(" str: + """从文件名推断证券类型。 + + 文件名格式: {exchange}{code}.day，如 sh600000.day、sz000001.day + """ + base = Path(filename).name.lower() + exchange = base[:2] # "sh" or "sz" + code_head = base[2:4] + + if exchange == "sz": + if code_head in ("00", "30"): + return "SZ_A_STOCK" + if code_head == "20": + return "SZ_B_STOCK" + if code_head == "39": + return "SZ_INDEX" + if code_head in ("15", "16"): + return "SZ_FUND" + if code_head in ("10", "11", "12", "13", "14"): + return "SZ_BOND" + elif exchange == "sh": + if code_head == "60": + return "SH_A_STOCK" + if code_head == "90": + return "SH_B_STOCK" + if code_head in ("00", "88", "99"): + return "SH_INDEX" + if code_head in ("50", "51"): + return "SH_FUND" + if code_head in ("01", "10", "11", "12", "13", "14"): + return "SH_BOND" + + return "SZ_A_STOCK" # 默认按 A 股处理 + + +def read_daily_bars(filepath: str | Path) -> list[SecurityBar]: + """从本地 .day 文件读取日线 K 线数据。 + + Args: + filepath: .day 文件路径。 + + Returns: + SecurityBar 列表（按时间升序）。 + """ + filepath = Path(filepath) + if not filepath.is_file(): + raise TdxFileNotFoundError(f"日线数据文件不存在: {filepath}") + + sec_type = _detect_security_type(filepath.name) + price_coeff, vol_coeff = _SECURITY_COEFFICIENTS.get(sec_type, (0.01, 0.01)) + + data = filepath.read_bytes() + if len(data) < _DAILY_FMT.size: + return [] + + results: list[SecurityBar] = [] + record_size = _DAILY_FMT.size + for offset in range(0, len(data) - record_size + 1, record_size): + raw = data[offset : offset + record_size] + date_int, op, hi, lo, cl, amount, vol, _res = _DAILY_FMT.unpack(raw) + + year = date_int // 10000 + month = (date_int % 10000) // 100 + day = date_int % 100 + + results.append( + SecurityBar( + open=op * price_coeff, + close=cl * price_coeff, + high=hi * price_coeff, + low=lo * price_coeff, + vol=vol * vol_coeff, + amount=amount, + year=year, + month=month, + day=day, + hour=0, + minute=0, + _raw=raw, + ) + ) + + return results + + +def find_daily_bar_file( + market: int, + code: str, + vipdoc: str | Path | None = None, +) -> Path: + """根据市场和代码定位日线文件路径。 + + Args: + market: 市场代码（Market.SZ=0, Market.SH=1）。 + code: 6 位股票代码。 + vipdoc: vipdoc 目录路径，None 则自动检测。 + + Returns: + .day 文件的 Path。 + """ + vipdoc_path = resolve_vipdoc(vipdoc) + exchange = _market_to_exchange(market) + return vipdoc_path / exchange / "lday" / f"{exchange}{code}.day" diff --git a/src/xmtdx/offline/ex_daily_bar.py b/src/xmtdx/offline/ex_daily_bar.py new file mode 100644 index 0000000..dde3b7e --- /dev/null +++ b/src/xmtdx/offline/ex_daily_bar.py @@ -0,0 +1,82 @@ +"""扩展市场日线数据读取（期货、港股等 .day 文件）。""" + +import struct +from dataclasses import dataclass, field +from pathlib import Path + +from ..exceptions import TdxFileNotFoundError + +# 日期(4B) 开盘(4Bf) 最高(4Bf) 最低(4Bf) 收盘(4Bf) 成交额(4B) 成交量(4B) 结算价(4Bf) +_EX_DAILY_FMT = struct.Struct(" list[ExDailyBar]: + """从本地扩展市场 .day 文件读取日线数据。 + + 文件位于 vipdoc/ds/ 目录下，如 29#A1801.day。 + + Args: + filepath: .day 文件路径。 + + Returns: + ExDailyBar 列表（按时间升序）。 + """ + filepath = Path(filepath) + if not filepath.is_file(): + raise TdxFileNotFoundError(f"扩展市场日线文件不存在: {filepath}") + + data = filepath.read_bytes() + if len(data) < _EX_DAILY_FMT.size: + return [] + + results: list[ExDailyBar] = [] + record_size = _EX_DAILY_FMT.size + + for offset in range(0, len(data) - record_size + 1, record_size): + raw = data[offset : offset + record_size] + date_int, op, hi, lo, cl, amt, vol, settlement = _EX_DAILY_FMT.unpack(raw) + + # 第 5 个字段（成交额位置）重新解释为 float 作为港股量 + hk_bytes = struct.pack(" Path: + """根据市场和代码定位 .5 分钟线文件路径。""" + vipdoc_path = resolve_vipdoc(vipdoc) + exchange = _market_to_exchange(market) + return vipdoc_path / exchange / "fzline" / f"{exchange}{code}.5" + + +def find_lc1_bar_file( + market: int, + code: str, + vipdoc: str | Path | None = None, +) -> Path: + """根据市场和代码定位 .lc1 分钟线文件路径。""" + vipdoc_path = resolve_vipdoc(vipdoc) + exchange = _market_to_exchange(market) + return vipdoc_path / exchange / "fzline" / f"{exchange}{code}.lc1" + + +def find_lc5_bar_file( + market: int, + code: str, + vipdoc: str | Path | None = None, +) -> Path: + """根据市场和代码定位 .lc5 分钟线文件路径。""" + vipdoc_path = resolve_vipdoc(vipdoc) + exchange = _market_to_exchange(market) + return vipdoc_path / exchange / "fzline" / f"{exchange}{code}.lc5" diff --git a/src/xmtdx/offline/gbbq.py b/src/xmtdx/offline/gbbq.py new file mode 100644 index 0000000..d1e9cd5 --- /dev/null +++ b/src/xmtdx/offline/gbbq.py @@ -0,0 +1,366 @@ +"""股本变迁数据读取（XOR 加密的 gbbq 文件）。""" + +import struct +from dataclasses import dataclass, field +from pathlib import Path + +from ..exceptions import TdxFileNotFoundError + +_MASK32 = 0xFFFFFFFF + +# XOR 解密密钥（从 pytdx 移植，1072 字节 hex dump） +_HEX_KEY = ( + "38 A7 C2 1D E0 6A 17 E2 D1 39 A2 40 9C BA 46 AF " + "42 C6 FF 05 74 EA DA BB 89 B4 F8 44 AC 89 D7 F2 " + "98 7F B6 BC E4 F7 6B 75 05 04 58 67 79 C8 6D C6 " + "2B 06 96 8C FB 86 06 8B BF D6 E8 E1 87 49 6B 36 " + "C7 18 02 79 53 25 72 72 13 CC 04 0B 90 24 0C DC " + "DB 03 1A D5 2E 04 85 5C 7E 8E BD 02 26 2D BD 06 " + "1B 50 34 99 1B A2 24 04 F2 88 35 C8 89 EA D5 FB " + "12 24 BB B5 3B 29 CA 14 A6 04 CE A9 A8 58 02 B9 " + "AA E3 97 A3 A6 22 57 BB AD A0 22 5F EB 05 86 11 " + "C3 ED B1 3F 39 C2 36 D1 4A 43 C8 64 4D B0 6E 3A " + "7C 51 6D F7 8E C6 DF F3 8E A4 1E 74 9D B2 22 05 " + "4D 07 3F 96 7F 97 F9 63 B9 C4 2B 98 75 F6 D6 84 " + "56 DC 15 D3 52 8B 60 F3 D6 0E A9 AD 07 07 E9 02 " + "86 58 C2 32 9C 90 BC C9 19 BF B0 54 7A F8 CC A8 " + "27 63 82 29 EE FB 98 11 BF 35 29 62 91 93 95 FC " + "F4 F0 08 E4 B2 3A B4 5E B3 B0 2E 3E 20 C1 D7 43 " + "59 7D C6 29 5F 69 74 7F B2 77 E1 0E FA 85 A1 C9 " + "77 73 83 B3 CB 1C 60 DB E9 53 69 FC B3 18 59 15 " + "0F 97 8A 7A C8 83 F5 49 DC 1B 3E 86 C1 95 45 46 " + "E2 16 67 7F 12 35 A0 BB 27 FB CC F8 30 7E 4F C8 " + "6D AB 18 B2 0D 01 CC 79 20 80 7B FA 37 AA 14 9E " + "85 E8 25 E9 D4 2D 35 4E 8F D3 DE B0 06 8D 15 15 " + "52 65 E8 39 03 28 09 02 67 99 3D 13 BA F3 68 5C " + "4C 89 B0 E3 6B AE 16 5C 88 25 F8 33 03 19 02 5B " + "29 7B 2A 41 2D 75 49 48 9B B3 B6 B3 BF AA DF 8C " + "95 FE 0F 13 B8 7B 02 BB 52 E1 1C 34 C3 9B 87 59 " + "E2 46 CC 22 77 4B D7 C4 2C 31 AA 84 7C 44 51 88 " + "15 1A CC AE 40 9D 1F 44 97 29 98 45 60 74 47 A1 " + "0D A5 73 F0 53 FF 01 F9 F4 9A F1 36 07 D0 2D A0 " + "79 2D 81 23 25 AD 4B 9C C8 BC 12 55 4D D4 BB 95 " + "B1 B9 BE 7D A6 E6 A0 53 BA 83 8C DD 7E E9 4B ED " + "BA 28 42 D8 FF 98 69 35 CA 4E 9C 9D 57 D6 CF A0 " + "89 5C A2 E7 54 D2 AF 4C FB 54 C4 B4 4F C3 BA F8 " + "A2 58 69 19 79 0E A8 0E 3D C8 04 FD 26 32 C8 E1 " + "02 8B A7 1C C3 91 25 E5 D8 49 DB DF 19 5F 16 F5 " + "A7 8B 18 23 04 D4 BF FB 44 C4 61 7C 79 6E C8 90 " + "15 B5 EB 50 87 CA 7A 69 47 2F AF A8 B5 A2 8A 84 " + "C4 41 79 E8 DE 0C AC D0 D5 6F 34 C6 CB A7 76 F9 " + "00 24 42 05 26 7E 7B 14 86 59 7B DB 1C 62 D5 B7 " + "3E F7 17 44 27 4B D2 C6 6F FF C8 49 55 AD 65 52 " + "2D 43 C2 33 9B 63 AB 3D 54 54 28 E2 02 65 03 9A " + "03 4B 8F 64 1A 92 52 DE 32 D6 2B F0 BE BE 1D 54 " + "B1 7C 70 41 9B 90 55 DA 71 55 21 B9 B6 68 90 19 " + "5F BC AA B4 55 0E E6 81 4C A3 BE BC 64 D7 59 00 " + "59 BD 0F 6A 57 1A A6 A0 D5 1A 0A 80 D3 09 06 73 " + "5A 51 E2 DD 29 66 AC A0 86 29 21 2B 7A 6D 9E 3A " + "68 D0 A3 DC A7 2B 85 A0 4C D4 F0 C5 C4 43 E4 CF " + "0C 19 81 30 B6 F6 BE 71 F5 AC 25 AA CF 42 90 06 " + "64 1B 45 29 FD 3A A3 B6 0B 9D 29 9F FA 31 B8 6D " + "D8 EC 43 F5 92 7E 35 22 E0 C3 D3 09 06 61 71 DA " + "E8 36 0A 19 F6 23 81 CB 89 E0 67 6E FE B1 E6 47 " + "72 63 5C 25 18 E0 B4 65 85 EF B5 1B 26 23 90 89 " + "CC EE E3 01 77 95 63 DF C4 AC BF E6 37 14 99 15 " + "49 8A 96 02 91 AA 1D 98 21 57 5E 87 96 C7 B5 87 " + "08 3F 58 06 52 58 17 8F AB A8 4E A1 7A 60 B1 69 " + "5E 9C BE E2 D0 C5 12 59 DF 31 EB D2 19 54 96 E2 " + "10 11 8E 68 B4 1A 2D D3 2F AB 12 F7 FE F3 A7 F7 " + "61 FC F7 7C CB FC 87 8C 6A 10 40 29 7B 30 D6 0D " + "13 4C 71 CD 5E AB 36 A2 F1 4C 05 ED 53 88 E5 FF " + "8E 71 79 5D B5 AF D3 67 6D C4 44 6B AB C1 A7 AA " + "38 D8 70 1E 08 E6 D2 36 7B 88 11 96 DB D2 68 D9 " + "FF D8 50 2B 3A A9 CC 45 1A CA CD D2 05 C6 FC A0 " + "35 0C EE 98 2B 5C B2 39 6A 27 12 8F 97 EC CB 7B " + "B6 C0 27 F6 A7 48 75 09 82 98 CA 3A 5D E3 96 0C " + "A5 D2 B3 6C A4 D1 1F AE 99 67 B0 3D D6 9A 7A 3E " + "00 8B FD 45 32 F7 9F 28 7C 94 03 DB 64 AA 44 80 " + "D2 27 AF B3 73 87 57 31 EB 08 D9 BA 73 4D 2C 77 " + "03 BF F5 0F 47 3C 22 DA 3F B9 F1 9A 1B 22 83 16 " + "EE F4 18 FC 08 E8 3B 30 1C 04 50 AA 4C E3 28 53 " + "AB DE F8 5F 32 D9 E1 78 7B F1 C5 A8 CA 85 B6 9F " + "89 1F 40 B8 2C 88 D7 C1 66 34 45 D6 46 FD 7B F3 " + "72 A3 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+ "BE 5D 6D 56 F3 01 02 3B FF FF FF FF 00 00 00 00" +) + +_BIN_KEYS: bytes = bytes.fromhex(_HEX_KEY.replace(" ", "")) + + +@dataclass +class GbbqRecord: + """股本变迁记录。""" + + market: int + code: str + datetime: int + category: int + hongli_panqianliutong: float + peigujia_qianzongguben: float + songgu_qianzongguben: float + peigu_houzongguben: float + _raw: bytes = field(default=b"", repr=False, compare=False) + + +def read_gbbq(filepath: str | Path) -> list[GbbqRecord]: + """从本地 gbbq 文件读取股本变迁数据（XOR 加密）。 + + Args: + filepath: gbbq 文件路径。 + + Returns: + GbbqRecord 列表。 + """ + filepath = Path(filepath) + if not filepath.is_file(): + raise TdxFileNotFoundError(f"股本变迁文件不存在: {filepath}") + + content = filepath.read_bytes() + if len(content) < 4: + return [] + + (count,) = struct.unpack("> 16 + (eax,) = struct.unpack("> 24 + (eax_add,) = struct.unpack("> 8 + (eax_xor,) = struct.unpack(" list[FinancialRecord]: + """从本地 gpcw*.dat 或 gpcw*.zip 文件读取历史财务数据。 + + 复用 codec/financial.py 的 parse_financial_dat() 解析二进制格式。 + + Args: + filepath: .dat 或 .zip 文件路径。 + + Returns: + FinancialRecord 列表。 + """ + filepath = Path(filepath) + if not filepath.is_file(): + raise TdxFileNotFoundError(f"历史财务数据文件不存在: {filepath}") + + if filepath.suffix.lower() == ".zip": + data = _read_from_zip(filepath) + else: + data = filepath.read_bytes() + + raw_records = parse_financial_dat(data) + results: list[FinancialRecord] = [] + for code, market_byte, report_date, fields in raw_records: + try: + market = Market(market_byte) + except ValueError: + market = Market.SZ # 默认深圳 + results.append( + FinancialRecord( + code=code, + market=market, + report_date=report_date, + fields=fields, + ) + ) + return results + + +def _read_from_zip(zip_path: Path) -> bytes: + """从 zip 中提取 .dat 文件内容。""" + try: + with zipfile.ZipFile(zip_path, "r") as zf: + for name in zf.namelist(): + if name.endswith(".dat"): + return zf.read(name) + raise TdxOfflineError(f"zip 中未找到 .dat 文件: {zip_path}") + except zipfile.BadZipFile as e: + raise TdxOfflineError(f"无效的 zip 文件: {zip_path}") from e diff --git a/src/xmtdx/offline/min_bar.py b/src/xmtdx/offline/min_bar.py new file mode 100644 index 0000000..e4185bd --- /dev/null +++ b/src/xmtdx/offline/min_bar.py @@ -0,0 +1,122 @@ +"""分钟 K 线数据读取（.5 文件和 .lc1/.lc5 文件）。""" + +import struct +from pathlib import Path + +from ..exceptions import TdxFileNotFoundError +from ..models.bar import SecurityBar + +# .5 文件: 日期(2B) 时间(2B) 开盘(4B) 最高(4B) 最低(4B) 收盘(4B) 额(4B) 量(4B) 保留(4B) +_MIN_FMT = struct.Struct(" tuple[int, int, int]: + """解码通达信压缩日期（2 字节）。""" + year = num // 2048 + 2004 + month = (num % 2048) // 100 + day = (num % 2048) % 100 + return year, month, day + + +def _decode_tdx_time(num: int) -> tuple[int, int]: + """解码通达信分钟时间（从 0:00 开始的分钟数）。""" + return num // 60, num % 60 + + +def read_5min_bars(filepath: str | Path) -> list[SecurityBar]: + """从本地 .5 文件读取 5 分钟 K 线数据。 + + OHLC 为整数，需除以 100 得到实际价格。 + + Args: + filepath: .5 文件路径。 + + Returns: + SecurityBar 列表（按时间升序）。 + """ + filepath = Path(filepath) + if not filepath.is_file(): + raise TdxFileNotFoundError(f"分钟线数据文件不存在: {filepath}") + + data = filepath.read_bytes() + if len(data) < _MIN_FMT.size: + return [] + + results: list[SecurityBar] = [] + record_size = _MIN_FMT.size + for offset in range(0, len(data) - record_size + 1, record_size): + raw = data[offset : offset + record_size] + date_num, time_num, op, hi, lo, cl, amount, vol, _res = _MIN_FMT.unpack(raw) + + year, month, day = _decode_tdx_date(date_num) + hour, minute = _decode_tdx_time(time_num) + + results.append( + SecurityBar( + open=op / 100.0, + close=cl / 100.0, + high=hi / 100.0, + low=lo / 100.0, + vol=vol, + amount=amount, + year=year, + month=month, + day=day, + hour=hour, + minute=minute, + _raw=raw, + ) + ) + + return results + + +def read_lc_min_bars(filepath: str | Path) -> list[SecurityBar]: + """从本地 .lc1/.lc5 文件读取分钟 K 线数据。 + + OHLC 为 float 类型，无需额外转换。 + + Args: + filepath: .lc1 或 .lc5 文件路径。 + + Returns: + SecurityBar 列表（按时间升序）。 + """ + filepath = Path(filepath) + if not filepath.is_file(): + raise TdxFileNotFoundError(f"分钟线数据文件不存在: {filepath}") + + data = filepath.read_bytes() + if len(data) < _LC_MIN_FMT.size: + return [] + + results: list[SecurityBar] = [] + record_size = _LC_MIN_FMT.size + for offset in range(0, len(data) - record_size + 1, record_size): + raw = data[offset : offset + record_size] + date_num, time_num, op, hi, lo, cl, amount, vol, _res = _LC_MIN_FMT.unpack(raw) + + year, month, day = _decode_tdx_date(date_num) + hour, minute = _decode_tdx_time(time_num) + + results.append( + SecurityBar( + open=op, + close=cl, + high=hi, + low=lo, + vol=vol, + amount=amount, + year=year, + month=month, + day=day, + hour=hour, + minute=minute, + _raw=raw, + ) + ) + + return results diff --git a/src/xmtdx/offline/paths.py b/src/xmtdx/offline/paths.py new file mode 100644 index 0000000..e1187c4 --- /dev/null +++ b/src/xmtdx/offline/paths.py @@ -0,0 +1,74 @@ +"""通达信安装目录检测与路径解析。""" + +import os +import sys +from pathlib import Path + +from ..exceptions import TdxOfflineError + +_WIN_CANDIDATES = [ + Path(r"C:\new_jyplug"), + Path(r"C:\new_tdx"), + Path(r"D:\new_jyplug"), + Path(r"D:\new_tdx"), +] + +_UNIX_CANDIDATES = [ + Path.home() / "new_jyplug", + Path.home() / "new_tdx", +] + + +def detect_tdx_home() -> Path | None: + """按优先级检测通达信安装目录。 + + 1. TDX_HOME 环境变量 + 2. 平台常见路径猜测 + """ + env = os.getenv("TDX_HOME") + if env: + p = Path(env) + if p.is_dir(): + return p + candidates = _WIN_CANDIDATES if sys.platform == "win32" else _UNIX_CANDIDATES + for p in candidates: + if p.is_dir(): + return p + return None + + +def resolve_vipdoc(path: str | Path | None = None) -> Path: + """解析 vipdoc 数据目录。 + + Args: + path: 显式指定的 vipdoc 路径。为 None 时自动检测。 + + Returns: + vipdoc 目录的 Path 对象。 + + Raises: + TdxOfflineError: 无法定位 vipdoc 目录。 + """ + if path is not None: + p = Path(path) + if p.is_dir(): + return p + raise TdxOfflineError(f"指定的 vipdoc 路径不存在: {p}") + home = detect_tdx_home() + if home is None: + raise TdxOfflineError( + "无法定位通达信安装目录，请设置 TDX_HOME 环境变量或显式传入 vipdoc 路径" + ) + vipdoc = home / "vipdoc" + if not vipdoc.is_dir(): + raise TdxOfflineError(f"vipdoc 目录不存在: {vipdoc}") + return vipdoc + + +def _market_to_exchange(market: int) -> str: + """Market 枚举值 → vipdoc 子目录名（sh/sz）。""" + if market == 0: # Market.SZ + return "sz" + if market == 1: # Market.SH + return "sh" + raise TdxOfflineError(f"不支持的市场代码: {market}") diff --git a/uv.lock b/uv.lock new file mode 100644 index 0000000..4a35e6d --- /dev/null +++ b/uv.lock @@ -0,0 +1,872 @@ +version = 1 +revision = 1 +requires-python = ">=3.10" +resolution-markers = [ + "python_full_version >= '3.15' and sys_platform == 'win32'", + "python_full_version >= '3.15' and sys_platform == 'emscripten'", + "python_full_version >= '3.15' and sys_platform != 'emscripten' and sys_platform != 'win32'", + "python_full_version == '3.14.*' and sys_platform == 'win32'", + "python_full_version == '3.14.*' and sys_platform == 'emscripten'", + "python_full_version == '3.14.*' and sys_platform != 'emscripten' and sys_platform != 'win32'", + "python_full_version >= '3.11' and python_full_version < '3.14' and sys_platform == 'win32'", + "python_full_version >= '3.11' and python_full_version < '3.14' and sys_platform == 'emscripten'", + "python_full_version >= '3.11' and python_full_version < '3.14' and 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