diff --git a/harness_engineering/backtest.py b/harness_engineering/backtest.py new file mode 100644 index 00000000..ad8134a9 --- /dev/null +++ b/harness_engineering/backtest.py @@ -0,0 +1,113 @@ +#!/usr/bin/env python +# -*- coding: utf-8 -*- +""" +测试脚本：使用本地行情服务器进行回测 +""" + +import time +from datetime import date +import logging +# 必须导入 TargetPosTask +from tqsdk import TqApi, TqAuth, TqBacktest, TqSim, TargetPosTask +from tqsdk.exceptions import BacktestFinished + +LOCAL_INS_URL = "http://localhost:17788/symbols/latest.json" +LOCAL_MD_URL = "ws://localhost:17789" + +logging.getLogger("TQSIM").setLevel(logging.WARNING) + +def run_local_backtest(): + total_start = time.time() + + try: + account=TqSim() + api = TqApi( + account=account, + #backtest=TqBacktest(start_dt=date(2025, 1, 1), end_dt=date(2025, 1, 31)), + backtest=TqBacktest(start_dt=date(2025, 1, 1), end_dt=date(2025, 12, 31)), + auth=None, + #auth=TqAuth("suolong33", "suolong33"), + _ins_url=LOCAL_INS_URL, + _md_url=LOCAL_MD_URL, + disable_print=True, + ) + #api = TqApi( + # account=TqSim(), + # backtest=TqBacktest(start_dt=date(2025, 3, 5), end_dt=date(2025, 3, 8)), + # auth=TqAuth("suolong33", "suolong33"), + # #_ins_url=LOCAL_INS_URL, + # #_md_url=LOCAL_MD_URL + #) + + init_time = time.time() - total_start + + #symbol = "SHFE.rb2505" + symbol1 = "KQ.m@SHFE.rb" + symbol2 = "KQ.m@SHFE.au" + + # 尝试获取 K 线 + # 注意：在本地回测中，有时需要先 wait_update 一次让图表建立 + klines1 = api.get_kline_serial(symbol1, 60) + klines2 = api.get_kline_serial(symbol2, 60) + + #if len(klines) > 0: + # print(klines.tail(3)) + + target_pos1 = TargetPosTask(api, symbol1) + target_pos2 = TargetPosTask(api, symbol2) + + loop_count = 0 + while True: + api.wait_update() + loop_count += 1 + + # 简单的退出条件，防止死循环，实际由 BacktestFinished 异常退出 + #if loop_count > 100000: + # break + + if api.is_changing(klines1): + if len(klines1) >= 15: + last_close = klines1.close.iloc[-1] + ma = sum(klines1.close.iloc[-15:]) / 15 + current_price = klines1.close.iloc[-1] + + # if loop_count % 500 == 0: + # print(f" ... 已处理 {loop_count} 次更新，最新价: {current_price}, MA: {ma:.2f}") + + if current_price > ma: + target_pos1.set_target_volume(5) + elif current_price < ma: + target_pos1.set_target_volume(0) + + if api.is_changing(klines2): + if len(klines2) >= 15: + last_close = klines2.close.iloc[-1] + ma = sum(klines2.close.iloc[-15:]) / 15 + current_price = klines2.close.iloc[-1] + + if current_price > ma: + target_pos2.set_target_volume(5) + elif current_price < ma: + target_pos2.set_target_volume(0) + + except BacktestFinished: + total_time = time.time() - total_start + print(f"\n✅ 回测正常结束!") + print(f"") + print(f"⏱️ 初始化时间: {init_time:.2f}s 回测时间: {total_time - init_time:.2f}s 总耗时: {total_time:.2f}s 循环次数: {loop_count}") + # 打印最终账户情况 + print(api.get_account()) + + except Exception as e: + print(f"\n❌ 发生错误: {e}") + import traceback + traceback.print_exc() + + finally: + try: + api.close() + except: + pass + +if __name__ == "__main__": + run_local_backtest() diff --git a/harness_engineering/backtest_single.py b/harness_engineering/backtest_single.py new file mode 100644 index 00000000..7b564baa --- /dev/null +++ b/harness_engineering/backtest_single.py @@ -0,0 +1,98 @@ +#!/usr/bin/env python +# -*- coding: utf-8 -*- +""" +测试脚本：使用本地行情服务器进行回测 +""" + +import time +from datetime import date +import logging +# 必须导入 TargetPosTask +from tqsdk import TqApi, TqAuth, TqBacktest, TqSim, TargetPosTask +from tqsdk.exceptions import BacktestFinished + +LOCAL_INS_URL = "http://localhost:17788/symbols/latest.json" +LOCAL_MD_URL = "ws://localhost:17789" + +logging.getLogger("TQSIM").setLevel(logging.WARNING) + +def run_local_backtest(): + total_start = time.time() + + try: + account=TqSim() + api = TqApi( + account=account, + backtest=TqBacktest(start_dt=date(2025, 1, 1), end_dt=date(2025, 12, 31)), + auth=None, + #auth=TqAuth("suolong33", "suolong33"), + _ins_url=LOCAL_INS_URL, + _md_url=LOCAL_MD_URL, + disable_print=True, + ) + #api = TqApi( + # account=TqSim(), + # backtest=TqBacktest(start_dt=date(2025, 3, 5), end_dt=date(2025, 3, 8)), + # auth=TqAuth("suolong33", "suolong33"), + # #_ins_url=LOCAL_INS_URL, + # #_md_url=LOCAL_MD_URL + #) + + init_time = time.time() - total_start + + #symbol = "SHFE.rb2505" + symbol1 = "KQ.m@SHFE.rb" + + # 尝试获取 K 线 + # 注意：在本地回测中，有时需要先 wait_update 一次让图表建立 + klines1 = api.get_kline_serial(symbol1, 60) + + #if len(klines) > 0: + # print(klines.tail(3)) + + target_pos1 = TargetPosTask(api, symbol1) + + loop_count = 0 + while True: + api.wait_update() + loop_count += 1 + + # 简单的退出条件，防止死循环，实际由 BacktestFinished 异常退出 + #if loop_count > 100000: + # break + + if api.is_changing(klines1): + if len(klines1) >= 15: + last_close = klines1.close.iloc[-1] + ma = sum(klines1.close.iloc[-15:]) / 15 + current_price = klines1.close.iloc[-1] + + if loop_count % 500 == 0: + print(f" ... 已处理 {loop_count} 次更新，最新价: {current_price}, MA: {ma:.2f}") + + if current_price > ma: + target_pos1.set_target_volume(5) + elif current_price < ma: + target_pos1.set_target_volume(0) + + except BacktestFinished: + total_time = time.time() - total_start + print(f"\n✅ 回测正常结束!") + print(f"") + print(f"⏱️ 初始化时间: {init_time:.2f}s 回测时间: {total_time - init_time:.2f}s 总耗时: {total_time:.2f}s 循环次数: {loop_count}") + # 打印最终账户情况 + print(api.get_account()) + + except Exception as e: + print(f"\n❌ 发生错误: {e}") + import traceback + traceback.print_exc() + + finally: + try: + api.close() + except: + pass + +if __name__ == "__main__": + run_local_backtest() diff --git a/harness_engineering/program.md b/harness_engineering/program.md new file mode 100644 index 00000000..700cde5c --- /dev/null +++ b/harness_engineering/program.md @@ -0,0 +1,53 @@ +# Automatic Performance Optimization + +This is an experiment to have claude code to keep optimizing the performance of the framework tqsdk-python (current repo) based on cProfile results. + +## Plan +You are given the source code of tqsdk-python, a backtest framework for Chinese CTA futures market, and a script to run backtest of a strategy by calling the sdk. You need to keep analyzing the profile data from cProfile, and find ways to improve the system performance. + +## Setup +You are working in two repos: +1. `./tqsdk`: contains tqsdk-python's complete source code. +2. `./harness_engineering`, which has its own virtual environment and contains backtest code using the current repo (it's `tqsdk-python` in its uv environment is pointing to the current repo) + +To set up a new experiment, work with the user to: +**Start by running the first profiling**. run `cd harness_engineering && uv run python -m cProfile -o result.prof backtest.py` + +Once you get confirmation, kick off the experimentation. + +## Experimentation + +### Step 1: Analyze the existing cProfile result and find ways to improve the repo's performance. +Look at the git state: the current branch/commit we're on. + +Then run this command to get the backtest's top 10 functions sorted by tottime: `cd harness_engineering && uv run python -c "import pstats; p = pstats.Stats('result.prof'); p.sort_stats('tottime').print_stats(10)"` + +Then optimize the current repo's code based on the cProfile result. + +**What you CAN do:** +Analyze and modify the code in `./tqsdk` however you want. + +**What you CANNOT do:** +- Modify anything in `./harness_engineering` + +**The goal is simple: get the lowest total backtest time, while keeping its backtest result exactly the same.** + +### Step 2. Verify the optimization +Run the following command to profile the result: +`cd harness_engineering && uv run python -m cProfile -o new_result.prof backtest.py` + +Two things to verify: +1. The result backtest time is shorter than previous. +2. The following backtest metrics MUST BE exactly the same as the backtest result(other metrics we don't care): +``` +{'currency': 'CNY', 'pre_balance': 9165485.597521082, 'static_balance': 9165485.597521082, 'balance': 9165485.597521082, 'available': 9165485.097521082, 'ctp_balance': nan, 'ctp_available': nan, 'float_profit': 33099.99999999999, 'position_profit': 0.0, 'close_profit': 0.0, 'frozen_margin': 0.0, 'margin': 0.5, 'frozen_commission': 0.0, 'commission': 0.0, 'frozen_premium': 0.0, 'premium': 0.0, 'deposit': 0.0, 'withdraw': 0.0, 'risk_ratio': 5.455248330052814e-08, 'market_value': 0.0, '_tqsdk_stat': , D({'start_date': '2025-01-01', 'end_date': '2025-12-31', 'init_balance': np.float64(10000000.0), 'balance': np.float64(9165485.597521082), 'start_balance': np.float64(10000000.0), 'end_balance': np.float64(9165485.597521082), 'ror': np.float64(-0.08345144024789186), 'annual_yield': np.float64(-0.08541331095548088), 'trading_days': 244, 'cum_profit_days': np.int64(92), 'cum_loss_days': np.int64(151), 'max_drawdown': np.float64(0.10702989218181808), 'commission': np.float64(14.40250000000001), 'open_times': 14403, 'close_times': 14402, 'daily_risk_ratio': np.float64(5.674929510006093e-08), 'max_cont_profit_days': np.int64(6), 'max_cont_loss_days': np.int64(11), 'sharpe_ratio': np.float64(-1.9706534357067889), 'calmar_ratio': np.float64(-0.0663809545753567), 'sortino_ratio': np.float64(-1.6926465451120536), 'tqsdk_punchline': '不要灰心，少侠重新来过', 'profit_volumes': 11850, 'loss_volumes': 60160, 'profit_value': np.float64(8928950.000000276), 'loss_value': np.float64(-9796549.999999123), 'winning_rate': 0.16456047771142898, 'profit_loss_ratio': np.float64(4.62718335334115)})} +``` + +If both are true, +1. use the new cProfile result for the next round and run: `cd harness_engineering && mv new_result.prof result.prof` +2. git commit with the improvement and the reduced time. + +If either one is not true, then abandon the current change and start over from step 1. + +### LOOP FOREVER +The idea is that you are a completely autonomous performance engineer trying things out. If they work, keep. If they don't, discard. And you're advancing the branch so that you can iterate. diff --git a/harness_engineering/pyproject.toml b/harness_engineering/pyproject.toml new file mode 100644 index 00000000..4c52d294 --- /dev/null +++ b/harness_engineering/pyproject.toml @@ -0,0 +1,21 @@ +[project] +name = "tq-local-server" +version = "0.1.0" +description = "Add your description here" +readme = "README.md" +requires-python = ">=3.14" +dependencies = [ + "ipdb>=0.13.13", + "orjson>=3.11.7", + "snakeviz>=2.2.2", + "tqdm>=4.67.3", + "tqsdk", +] + +[[index]] +name = "tuna" +url = "https://pypi.tuna.tsinghua.edu.cn/simple" +default = true + +[tool.uv.sources] +tqsdk = { path = "../tqsdk-python", editable = true } diff --git a/harness_engineering/readme.md b/harness_engineering/readme.md new file mode 100644 index 00000000..4025cb83 --- /dev/null +++ b/harness_engineering/readme.md @@ -0,0 +1,6 @@ +# How to run it? +1. Launch claude (You may want to use `claude --dangerously-skip-permissions` to skip permissions) +2. in claude, type "Hi take a look at harness_engineering/program.md and let's start our first experiment." + +# What's run_benchamrks.sh for? +It's used to re-profile all claude commits \ No newline at end of file diff --git a/harness_engineering/run_benchmarks.sh b/harness_engineering/run_benchmarks.sh new file mode 100755 index 00000000..2ca6b2bc --- /dev/null +++ b/harness_engineering/run_benchmarks.sh @@ -0,0 +1,48 @@ +#!/bin/bash +# Benchmark each commit ahead of origin/master +# Runs backtest.py for each commit and saves output to a log file + +set -e + +REPO_DIR="/home/zzk/Projects/tqsdk-python" +TEST_DIR="/home/zzk/Projects/tq_sdk_test" +CURRENT_BRANCH=$(git -C "$REPO_DIR" rev-parse --abbrev-ref HEAD) + +# Get commits in chronological order (oldest first) +mapfile -t COMMITS < <(git -C "$REPO_DIR" log --reverse --format="%H %s" origin/master..HEAD) + +TOTAL=${#COMMITS[@]} +echo "Found $TOTAL commits to benchmark" +echo "Current branch: $CURRENT_BRANCH" +echo "" + +COUNT=0 +for entry in "${COMMITS[@]}"; do + HASH="${entry%% *}" + MESSAGE="${entry#* }" + SHORT_HASH="${HASH:0:7}" + COUNT=$((COUNT + 1)) + + # Sanitize message: first 50 chars, replace non-alphanumeric with _ + SAFE_MSG=$(echo "$MESSAGE" | head -c 50 | sed 's/[^a-zA-Z0-9_-]/_/g') + LOGFILE="${TEST_DIR}/${COUNT}_${SAFE_MSG}_${SHORT_HASH}.log" + + echo "[$COUNT/$TOTAL] $SHORT_HASH $MESSAGE" + + # Checkout the commit + git -C "$REPO_DIR" checkout --quiet "$HASH" + + # Run backtest and save output + echo "Commit: $SHORT_HASH $MESSAGE" > "$LOGFILE" + echo "Date: $(git -C "$REPO_DIR" log -1 --format='%ci' "$HASH")" >> "$LOGFILE" + echo "---" >> "$LOGFILE" + (cd "$TEST_DIR" && uv run backtest.py) >> "$LOGFILE" 2>&1 || true + + echo " -> saved to $(basename "$LOGFILE")" + echo "" +done + +# Restore original branch +echo "Restoring branch: $CURRENT_BRANCH" +git -C "$REPO_DIR" checkout --quiet "$CURRENT_BRANCH" +echo "Done! 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_get_obj, _is_key_exist, _register_update_chan +from tqsdk.diff import _merge_diff, _get_obj, _get_obj_single, _is_key_exist, _register_update_chan from tqsdk.entity import Entity from tqsdk.exceptions import TqTimeoutError from tqsdk.log import _clear_logs, _get_log_name, _get_disk_free @@ -224,7 +224,8 @@ def __init__(self, account: Optional[Union[TqMultiAccount, UnionTradeable]] = No user_name, pwd = auth[:comma_index], auth[comma_index + 1:] self._auth = TqAuth(user_name, pwd) else: - self._auth = None + from tqsdk.auth import TqAuthDummy + self._auth = TqAuthDummy() self._account = TqSim() if account is None else account self._backtest = backtest self._stock = False if isinstance(self._backtest, TqReplay) else _stock @@ -1917,9 +1918,12 @@ def _wait_update(self, deadline: Optional[float] = None, _task: Union[asyncio.Ta # 同步代码：此次调用 wait_update 之前应该已经修改执行 # 异步代码：上一行 self._run_until_idle() 可能会修改 klines 附加列的值 # 所以放在这里处理， 总会发送 serial_extra_array 数据，由 TqWebHelper 处理 + _any_serial_updated = False for _, serial in self._serials.items(): - self._process_serial_extra_array(serial) - self._run_until_idle(async_run=False) # 这里 self._run_until_idle() 主要为了把上一步计算出得需要绘制的数据发送到 TqWebHelper + if self._process_serial_extra_array(serial): + _any_serial_updated = True + if _any_serial_updated: + self._run_until_idle(async_run=False) # 这里 self._run_until_idle() 主要为了把上一步计算出得需要绘制的数据发送到 TqWebHelper if _task is not None: # 如果 _task 已经 done，则提前返回 True, False 代表超时会抛错 _tasks = _task if isinstance(_task, list) else [_task] @@ -1943,23 +1947,52 @@ def _wait_update(self, deadline: Optional[float] = None, _task: Union[asyncio.Ta self._pending_diffs = [] # 清空K线更新范围，避免在 wait_update 未更新K线时仍通过 is_changing 的判断 self._klines_update_range = {} + _has_any_stock = self._account._has_any_stock for d in self._diffs: - # 判断账户类别, 对股票和期货的 trade 数据分别进行处理 - if "trade" in d: - for k, v in d.get('trade').items(): - prototype = self._security_prototype if self._account._is_stock_type(k) else self._prototype - _merge_diff(self._data, {'trade': {k: v}}, prototype, persist=False, reduce_diff=True) - # 非交易数据均按照期货处理逻辑 - diff_without_trade = {k: v for k, v in d.items() if k != "trade"} - if diff_without_trade: - _merge_diff(self._data, diff_without_trade, self._prototype, persist=False, reduce_diff=True) + if _has_any_stock: + # 判断账户类别, 对股票和期货的 trade 数据分别进行处理 + if "trade" in d: + trade_data = d['trade'] + futures_trade = {} + stock_trade = {} + _is_stock = self._account._is_stock_type + for k, v in trade_data.items(): + if _is_stock(k): + stock_trade[k] = v + else: + futures_trade[k] = v + if futures_trade: + _merge_diff(self._data, {'trade': futures_trade}, self._prototype, False, True, False) + if stock_trade: + _merge_diff(self._data, {'trade': stock_trade}, self._security_prototype, False, True, False) + # 非交易数据均按照期货处理逻辑 + diff_without_trade = {k: v for k, v in d.items() if k != "trade"} + if diff_without_trade: + _merge_diff(self._data, diff_without_trade, self._prototype, False, True, False) + else: + # No stock accounts: merge entire diff directly (no split needed) + _merge_diff(self._data, d, self._prototype, False, True, False) self._risk_manager._on_recv_data(self._diffs) for _, serial in self._serials.items(): # K线df的更新与原始数据、left_id、right_id、more_data、last_id相关，其中任何一个发生改变都应重新计算df # 注：订阅某K线后再订阅合约代码、周期相同但长度更短的K线时, 服务器不会再发送已有数据到客户端，即chart发生改变但内存中原始数据未改变。 # 检测到K线数据或chart的任何字段发生改变则更新serial的数据 - if self._is_obj_changing(serial["df"], diffs=self._diffs, key=[]) \ - or self._is_obj_changing(serial["chart"], diffs=self._diffs, key=[]): + # Fast path: cache paths and check diffs directly, avoiding isinstance overhead + try: + cached_paths = serial["_cached_check_paths"] + except KeyError: + cached_paths = [root._path for root in serial["root"]] + cached_paths.append(serial["chart"]._path) + serial["_cached_check_paths"] = cached_paths + serial_changed = False + for diff in self._diffs: + for path in cached_paths: + if _is_key_exist(diff, path, []): + serial_changed = True + break + if serial_changed: + break + if serial_changed: if len(serial["root"]) == 1: # 订阅单个合约 self._update_serial_single(serial) else: # 订阅多个合约 @@ -2056,7 +2089,7 @@ def _is_obj_changing(self, obj: Any, diffs: List[Dict[str, Any]], key: List[str] if id(obj) in self._serials: paths = [] for root in self._serials[id(obj)]["root"]: - paths.append(root["_path"]) + paths.append(root._path) elif len(obj) == 0: return False else: # 处理传入的为一个 copy 出的 DataFrame (与原 DataFrame 数据相同的另一个object) @@ -2087,7 +2120,7 @@ def _is_obj_changing(self, obj: Any, diffs: List[Dict[str, Any]], key: List[str] paths.append(["ticks", obj["symbol"], "data", str(int(obj["id"]))]) else: - paths = [obj["_path"]] + paths = [obj._path] except (KeyError, IndexError): return False for diff in diffs: @@ -3405,21 +3438,22 @@ def _setup_connection(self): py_version=platform.python_version(), py_arch=platform.architecture()[0], cmd=sys.argv, mem_total=mem.total, mem_free=mem.free) if self._auth is None: - raise Exception("请输入 auth （快期账户）参数，快期账户是使用 tqsdk 的前提，如果没有请点击注册，注册地址：https://account.shinnytech.com/。") - else: - self._auth.init(mode="bt" if isinstance(self._backtest, TqBacktest) else "real") - self._auth.login() # tqwebhelper 有可能会设置 self._auth + from tqsdk.auth import TqAuthDummy + self._auth = TqAuthDummy() + + self._auth.init(mode="bt" if isinstance(self._backtest, TqBacktest) else "real") + self._auth.login() # tqwebhelper 有可能会设置 self._auth - # tqsdk 内部捕获异常如果需要打印日志，则需要自定义异常 - # 对于第三方代码产生的异常需要逐个捕获，可以参考 connect.py TqConnect._run 函数中对于各类异常的捕获 - # 这里只是打印账户过期日期来提醒用户，不关心是否成功，也不记录日志，所以直接 pass - # 单独捕获 self._auth.expire_datetime 是为了语义清晰，表明异常的来源 - try: - self._auth.expire_datetime - except Exception: - pass - if self._auth._expire_days_left is not None and self._auth._product_type is not None and self._auth._expire_days_left < 30: - self._print(f"TqSdk {self._auth._product_type} 版剩余 {self._auth._expire_days_left} 天到期，如需续费或升级请访问 https://account.shinnytech.com/ 或联系相关工作人员。") + # tqsdk 内部捕获异常如果需要打印日志，则需要自定义异常 + # 对于第三方代码产生的异常需要逐个捕获，可以参考 connect.py TqConnect._run 函数中对于各类异常的捕获 + # 这里只是打印账户过期日期来提醒用户，不关心是否成功，也不记录日志，所以直接 pass + # 单独捕获 self._auth.expire_datetime 是为了语义清晰，表明异常的来源 + try: + self._auth.expire_datetime + except Exception: + pass + if self._auth._expire_days_left is not None and self._auth._product_type is not None and self._auth._expire_days_left < 30: + self._print(f"TqSdk {self._auth._product_type} 版剩余 {self._auth._expire_days_left} 天到期，如需续费或升级请访问 https://account.shinnytech.com/ 或联系相关工作人员。") # 在快期账户登录之后，对于账户的基本信息校验及更新 for acc in self._account._account_list: @@ -3627,12 +3661,12 @@ def _init_serial(self, root_list, width, default, adj_type): temp_df = pd.DataFrame() temp_df._mgr = bm serial["df"] = TqDataFrame(self, temp_df, copy=False) - serial["df"]["symbol"] = root_list[0]["_path"][1] + serial["df"]["symbol"] = root_list[0]._path[1] for i in range(1, len(root_list)): - serial["df"]["symbol" + str(i)] = root_list[i]["_path"][1] + serial["df"]["symbol" + str(i)] = root_list[i]._path[1] - serial["df"]["duration"] = 0 if root_list[0]["_path"][0] == "ticks" else int( - root_list[0]["_path"][-1]) // 1000000000 + serial["df"]["duration"] = 0 if root_list[0]._path[0] == "ticks" else int( + root_list[0]._path[-1]) // 1000000000 return serial def _update_serial_single(self, serial): @@ -3667,39 +3701,69 @@ def _update_serial_single(self, serial): if serial["root"][0].get("last_id", -1) == -1: # 该 kline 没有任何数据，直接退出 return - symbol = serial["chart"]["ins_list"].split(",")[0] # 合约列表 + # Cache computed values that don't change between calls + try: + keys = serial["_cached_keys"] + symbol = serial["_cached_symbol"] + cols = serial["_cached_cols"] + except KeyError: + symbol = serial["chart"]["ins_list"].split(",")[0] + serial["_cached_symbol"] = symbol + keys = list(serial["default"].keys()) + keys.remove('datetime') + serial["_cached_keys"] = keys + duration = serial["chart"]["duration"] + if duration != 0: + cols = ["open", "high", "low", "close"] + else: + cols = ["last_price", "highest", "lowest"] + [f"{x}{i}" for x in + ["bid_price", "ask_price"] for i in + range(1, 6)] + serial["_cached_cols"] = cols quote = self._data.quotes.get(symbol, {}) - duration = serial["chart"]["duration"] # 周期 - keys = list(serial["default"].keys()) - keys.remove('datetime') - if duration != 0: - cols = ["open", "high", "low", "close"] - else: - cols = ["last_price", "highest", "lowest"] + [f"{x}{i}" for x in - ["bid_price", "ask_price"] for i in - range(1, 6)] - for i in range(serial["update_row"], serial["width"]): - index = last_id - serial["width"] + 1 + i - item = serial["default"] if index < 0 else _get_obj(serial["root"][0], ["data", str(index)], - serial["default"]) + adj_type = serial["adj_type"] + root0 = serial["root"][0] + default = serial["default"] + width = serial["width"] + update_row = serial["update_row"] + needs_adj = adj_type in ("B", "F") and hasattr(quote, 'ins_class') and quote.ins_class in ("STOCK", "FUND") + # Cache the "data" sub-entity to avoid 2-level _get_obj lookup per iteration + root0_data_entity = _get_obj_single(root0, "data") + root0_data_entity_data = root0_data_entity._data + # Pre-fetch default's _data for direct dict access (bypasses Entity.__getitem__) + default_data = default._data + for i in range(update_row, width): + index = last_id - width + 1 + i + if index < 0: + item_data = default_data + else: + str_index = str(index) + try: + item_data = root0_data_entity_data[str_index]._data + except KeyError: + item_data = _get_obj_single(root0_data_entity, str_index, default)._data # 如果需要复权，计算复权 - if index > 0 and serial["adj_type"] in ["B", "F"] and quote.ins_class in ["STOCK", "FUND"]: + if index > 0 and needs_adj: self._ensure_dividend_factor(symbol) last_index = index - 1 - last_item = _get_obj(serial["root"][0], ["data", str(last_index)], serial["default"]) - factor = get_dividend_factor(self._dividend_cache[symbol]["df"], last_item, item) - if serial["adj_type"] == "B": + str_last_index = str(last_index) + try: + last_item = root0_data_entity_data[str_last_index] + except KeyError: + last_item = _get_obj_single(root0_data_entity, str_last_index, default) + factor = get_dividend_factor(self._dividend_cache[symbol]["df"], last_item, item_data) + if adj_type == "B": self._dividend_cache[symbol]["back_factor"] = self._dividend_cache[symbol]["back_factor"] * (1 / factor) if self._dividend_cache[symbol]["back_factor"] != 1.0: - item = item.copy() + item_data = item_data.copy() for c in cols: - item[c] = item[c] * self._dividend_cache[symbol]["back_factor"] - elif serial["adj_type"] == "F" and factor != 1.0 and i not in serial['calc_ids_F']: + item_data[c] = item_data[c] * self._dividend_cache[symbol]["back_factor"] + elif adj_type == "F" and factor != 1.0 and i not in serial['calc_ids_F']: serial['calc_ids_F'].append(i) for c in cols: col_index = keys.index(c) + 2 array[:i, col_index] = array[:i, col_index] * factor - array[i] = [item["datetime"]] + [index] + [item[k] for k in keys if k != "datetime"] + array[i] = [item_data["datetime"], index] + [item_data[k] for k in keys] def _ensure_dividend_factor(self, symbol): quote = self._data.quotes.get(symbol, {}) @@ -3828,20 +3892,36 @@ def _update_serial_multi(self, serial): array[-1, 1] + 1) # array[-1, 1] + 1： 保持左闭右开规范 def _process_serial_extra_array(self, serial): - for col in set(serial["df"].columns.values) - serial["default_attr"]: + """Process extra columns. Returns True if chart data was sent.""" + # Fast path: skip when no extra columns and no pending updates + if not serial["extra_array"]: + if serial["update_row"] == serial["width"]: + return False + # No extra columns but update_row != width: check if user added columns + # Use cached column identity to avoid expensive set() computation + df_cols_obj = serial["df"].columns + if serial.get("_last_cols_id") == id(df_cols_obj): + # Columns haven't changed, no extra columns to process + serial["update_row"] = serial["width"] + return False + serial["_last_cols_id"] = id(df_cols_obj) + df_cols = set(serial["df"].columns.values) + extra_cols = df_cols - serial["default_attr"] + for col in extra_cols: if col not in serial["all_attr"]: serial["update_row"] = 0 # 只有在第一次添加某个列时，才会赋值为 0。 # klines["ma_MAIN"] = ma.ma 不是在原来的序列上原地修改，而是返回一个新的序列， # 所以这里 serial["extra_array"] 中的列每次需要重新赋值。 serial["extra_array"][col] = serial["df"][col].to_numpy() # 如果策略中删除了之前添加到 df 中的序列，则 extra_array 中也将其删除 - for col in serial["all_attr"] - set(serial["df"].columns.values): + for col in serial["all_attr"] - df_cols: del serial["extra_array"][col] - serial["all_attr"] = set(serial["df"].columns.values) + serial["all_attr"] = df_cols + serial["_last_cols_id"] = id(serial["df"].columns) if serial["update_row"] == serial["width"]: - return - symbol = serial["root"][0]["_path"][1] # 主合约的symbol，标志绘图的主合约 - duration = 0 if serial["root"][0]["_path"][0] == "ticks" else int(serial["root"][0]["_path"][-1]) + return False + symbol = serial["root"][0]._path[1] # 主合约的symbol，标志绘图的主合约 + duration = 0 if serial["root"][0]._path[0] == "ticks" else int(serial["root"][0]._path[-1]) cols = list(serial["extra_array"].keys()) # 归并数据序列 while len(cols) != 0: @@ -3853,6 +3933,7 @@ def _process_serial_extra_array(self, serial): self._process_chart_data_for_web(serial, symbol, duration, col, serial["width"] - serial["update_row"], int(serial["array"][-1, 1]) + 1, data) serial["update_row"] = serial["width"] + return True def _process_chart_data_for_web(self, serial, symbol, duration, col, count, right, data): # 与 _process_chart_data 函数功能类似，但是处理成符合 diff 协议的序列，在 js 端就不需要特殊处理了 @@ -4031,8 +4112,8 @@ def _gen_security_prototype(self): @staticmethod def _deep_copy_dict(source, dest): - for key, value in source.__dict__.items(): - if isinstance(value, Entity): + for key, value in source._data.items(): + if hasattr(value, '_data'): dest[key] = {} TqApi._deep_copy_dict(value, dest[key]) else: @@ -4214,7 +4295,7 @@ def draw_report(self, report_datas): def _send_chart_data(self, base_kserial_frame, serial_id, serial_data): s = self._serials[id(base_kserial_frame)] - p = s["root"][0]["_path"] + p = s["root"][0]._path symbol = p[-2] dur_nano = int(p[-1]) pack = { diff --git a/tqsdk/auth.py b/tqsdk/auth.py index 0c04099b..e3b2de62 100644 --- a/tqsdk/auth.py +++ b/tqsdk/auth.py @@ -212,3 +212,62 @@ def _has_td_grants(self, symbol): if symbol.split('.', 1)[0] in (FUTURE_EXCHANGES + KQ_EXCHANGES) and self._has_feature("futr"): return True raise Exception(f"您的账户不支持交易 {symbol}，需要购买后才能使用。升级网址：https://www.shinnytech.com/tqsdk-buy/") + + +class TqAuthDummy(object): + """无认证桩类，授予所有权限，不做任何网络调用。""" + + def __init__(self): + self._user_name = "local_user" + self._password = "" + self._access_token = "" + self._refresh_token = "" + self._auth_id = "" + self._mode = "real" + self._grants = {"features": [], "accounts": []} + self._expire_datetime = None + self._expire_days_left = None + self._product_type = None + self._logger = ShinnyLoggerAdapter( + logging.getLogger("TqApi.TqAuth"), + headers=self._base_headers, + grants=self._grants, + ) + + @property + def _base_headers(self): + return { + "User-Agent": "tqsdk-python %s" % __version__, + "Accept": "application/json", + } + + @property + def expire_datetime(self): + return datetime.datetime(2099, 12, 31, 23, 59, 59, tzinfo=_cst_tz) + + def init(self, mode="real"): + self._mode = mode + + def login(self): + pass + + def _has_feature(self, feature): + return True + + def _has_account(self, account): + return True + + def _has_md_grants(self, symbol): + return True + + def _has_td_grants(self, symbol): + return True + + def _add_account(self, account_id): + return True + + def _get_td_url(self, broker_id, account_id): + raise Exception("无认证模式不支持 OTG 实盘交易，请提供 TqAuth 参数。") + + def _get_md_url(self, stock, backtest): + raise Exception("无认证模式无法自动发现行情服务器，请通过 url 参数或 TQ_MD_URL 环境变量指定。") diff --git a/tqsdk/backtest.py b/tqsdk/backtest.py index f8ec5b88..ff31cff8 100644 --- a/tqsdk/backtest.py +++ b/tqsdk/backtest.py @@ -232,7 +232,7 @@ def _update_valid_quotes(self, quotes): async def _send_snapshot(self): """发送初始合约信息""" async with TqChan(self._api, last_only=True) as update_chan: # 等待与行情服务器连接成功 - self._data["_listener"].add(update_chan) + self._data._add_listener(update_chan) while self._data.get("mdhis_more_data", True): await update_chan.recv() # 发送初始行情(合约信息截面)时 @@ -431,7 +431,7 @@ async def _ensure_query(self, pack): if query_pack.items() <= self._data.get("symbols", {}).get(pack["query_id"], {}).items(): return async with TqChan(self._api, last_only=True) as update_chan: - self._data["_listener"].add(update_chan) + self._data._add_listener(update_chan) while not query_pack.items() <= self._data.get("symbols", {}).get(pack["query_id"], {}).items(): await update_chan.recv() @@ -442,10 +442,12 @@ async def _ensure_quote(self, ins): query_pack = _query_for_quote(ins) await self._md_send_chan.send(query_pack) async with TqChan(self._api, last_only=True) as update_chan: - quote["_listener"].add(update_chan) + quote._add_listener(update_chan) while math.isnan(quote.get("price_tick")): await update_chan.recv() - if ins not in self._quotes or self._quotes[ins]["min_duration"] > 60000000000: + # if ins not in self._quotes or self._quotes[ins]["min_duration"] > 60000000000: + # await self._ensure_serial(ins, 60000000000) + if ins not in self._quotes: await self._ensure_serial(ins, 60000000000) async def _fetch_serial(self, key): @@ -481,9 +483,9 @@ async def _gen_serial(self, ins, dur): serials = [_get_obj(self._data, ["klines", s, str(dur)]) for s in symbol_list] async with TqChan(self._api, last_only=True) as update_chan: for serial in serials: - serial["_listener"].add(update_chan) - chart_a["_listener"].add(update_chan) - chart_b["_listener"].add(update_chan) + serial._add_listener(update_chan) + chart_a._add_listener(update_chan) + chart_b._add_listener(update_chan) await self._md_send_chan.send(chart_info.copy()) try: async for _ in update_chan: @@ -499,10 +501,11 @@ async def _gen_serial(self, ins, dur): if last_id == -1: continue # 数据序列还没收到 if self._data.get("mdhis_more_data", True): - self._data["_listener"].add(update_chan) + self._data._add_listener(update_chan) continue else: - self._data["_listener"].discard(update_chan) + if self._data._listener is not None: + self._data._listener.discard(update_chan) if current_id is None: current_id = max(left_id, 0) # 发送下一段 chart 8964 根 kline diff --git a/tqsdk/backtest/backtest.py b/tqsdk/backtest/backtest.py index 8007be5d..416d43ae 100644 --- a/tqsdk/backtest/backtest.py +++ b/tqsdk/backtest/backtest.py @@ -239,7 +239,7 @@ def _update_valid_quotes(self, quotes): async def _send_snapshot(self): """发送初始合约信息""" async with TqChan(self._api, last_only=True) as update_chan: # 等待与行情服务器连接成功 - self._data["_listener"].add(update_chan) + self._data._add_listener(update_chan) while self._data.get("mdhis_more_data", True): await update_chan.recv() # 发送初始行情(合约信息截面)时 @@ -448,7 +448,7 @@ async def _ensure_query(self, pack): if query_pack.items() <= self._data.get("symbols", {}).get(pack["query_id"], {}).items(): return async with TqChan(self._api, last_only=True) as update_chan: - self._data["_listener"].add(update_chan) + self._data._add_listener(update_chan) while not query_pack.items() <= self._data.get("symbols", {}).get(pack["query_id"], {}).items(): await update_chan.recv() @@ -462,12 +462,14 @@ async def _ensure_symbols(self, symbols): await self._md_send_chan.send(query_pack) async with TqChan(self._api, last_only=True) as update_chan: for q in quotes: - q["_listener"].add(update_chan) + q._add_listener(update_chan) while any([math.isnan(q.get("price_tick")) for q in quotes]): await update_chan.recv() async def _ensure_quote(self, symbol): - if symbol not in self._quotes or self._quotes[symbol]["min_duration"] > 60000000000: + # if symbol not in self._quotes or self._quotes[symbol]["min_duration"] > 60000000000: + # await self._ensure_serial(symbol, 60000000000) + if symbol not in self._quotes: await self._ensure_serial(symbol, 60000000000) async def _fetch_serial(self, key): @@ -503,9 +505,9 @@ async def _gen_serial(self, ins, dur): serials = [_get_obj(self._data, ["klines", s, str(dur)]) for s in symbol_list] async with TqChan(self._api, last_only=True) as update_chan: for serial in serials: - serial["_listener"].add(update_chan) - chart_a["_listener"].add(update_chan) - chart_b["_listener"].add(update_chan) + serial._add_listener(update_chan) + chart_a._add_listener(update_chan) + chart_b._add_listener(update_chan) await self._md_send_chan.send(chart_info.copy()) try: async for _ in update_chan: @@ -532,10 +534,11 @@ async def _gen_serial(self, ins, dur): yield self._current_dt, diff, None, "OPEN" return if self._data.get("mdhis_more_data", True): - self._data["_listener"].add(update_chan) + self._data._add_listener(update_chan) continue else: - self._data["_listener"].discard(update_chan) + if self._data._listener is not None: + self._data._listener.discard(update_chan) left_id = chart.get("left_id", -1) right_id = chart.get("right_id", -1) if current_id is None: diff --git a/tqsdk/channel.py b/tqsdk/channel.py index ee1946c1..5c9b65b7 100644 --- a/tqsdk/channel.py +++ b/tqsdk/channel.py @@ -47,6 +47,7 @@ def __init__(self, api: 'TqApi', last_only: bool = False, logger: Union[Logger, asyncio.Queue.__init__(self, loop=api._loop) if (py_ver.major == 3 and py_ver.minor < 10) else asyncio.Queue.__init__(self) self._last_only = last_only self._closed = False + self._log_enabled = self._logger.logger.isEnabledFor(TqChan._level) def _logger_bind(self, **kwargs): self._logger = self._logger.bind(**kwargs) @@ -83,11 +84,11 @@ async def send(self, item: Any) -> None: item (any): 待发送的对象 """ if not self._closed: - if self._last_only: - while not self.empty(): - asyncio.Queue.get_nowait(self) + if self._last_only and self._queue: + self._queue.clear() await asyncio.Queue.put(self, item) - self._logger.log(TqChan._level, "tqchan send", item=self._sanitize_log_item(item)) + if self._log_enabled: + self._logger.log(TqChan._level, "tqchan send", item=self._sanitize_log_item(item)) def send_nowait(self, item: Any) -> None: """ @@ -100,11 +101,11 @@ def send_nowait(self, item: Any) -> None: asyncio.QueueFull: 如果channel已满则会抛出 asyncio.QueueFull """ if not self._closed: - if self._last_only: - while not self.empty(): - asyncio.Queue.get_nowait(self) + if self._last_only and self._queue: + self._queue.clear() asyncio.Queue.put_nowait(self, item) - self._logger.log(TqChan._level, "tqchan send_nowait", item=self._sanitize_log_item(item)) + if self._log_enabled: + self._logger.log(TqChan._level, "tqchan send_nowait", item=self._sanitize_log_item(item)) async def recv(self) -> Any: """ @@ -116,7 +117,8 @@ async def recv(self) -> Any: if self._closed and self.empty(): return None item = await asyncio.Queue.get(self) - self._logger.log(TqChan._level, "tqchan recv", item=self._sanitize_log_item(item)) + if self._log_enabled: + self._logger.log(TqChan._level, "tqchan recv", item=self._sanitize_log_item(item)) return item def recv_nowait(self) -> Any: @@ -132,7 +134,8 @@ def recv_nowait(self) -> Any: if self._closed and self.empty(): return None item = asyncio.Queue.get_nowait(self) - self._logger.log(TqChan._level, "tqchan recv_nowait", item=self._sanitize_log_item(item)) + if self._log_enabled: + self._logger.log(TqChan._level, "tqchan recv_nowait", item=self._sanitize_log_item(item)) return item def recv_latest(self, latest: Any) -> Any: @@ -147,7 +150,8 @@ def recv_latest(self, latest: Any) -> Any: """ while (self._closed and self.qsize() > 1) or (not self._closed and not self.empty()): latest = asyncio.Queue.get_nowait(self) - self._logger.log(TqChan._level, "tqchan recv_latest", item=self._sanitize_log_item(latest)) + if self._log_enabled: + self._logger.log(TqChan._level, "tqchan recv_latest", item=self._sanitize_log_item(latest)) return latest def __aiter__(self): @@ -157,7 +161,8 @@ async def __anext__(self): value = await asyncio.Queue.get(self) if self._closed and self.empty(): raise StopAsyncIteration - self._logger.log(TqChan._level, "tqchan recv_next", item=self._sanitize_log_item(value)) + if self._log_enabled: + self._logger.log(TqChan._level, "tqchan recv_next", item=self._sanitize_log_item(value)) return value async def __aenter__(self): diff --git a/tqsdk/data_extension.py b/tqsdk/data_extension.py index 0dfb741e..efdb4986 100644 --- a/tqsdk/data_extension.py +++ b/tqsdk/data_extension.py @@ -3,6 +3,8 @@ __author__ = 'mayanqiong' +from itertools import islice + from tqsdk.datetime import _get_expire_rest_days from tqsdk.datetime_state import TqDatetimeState from tqsdk.diff import _simple_merge_diff, _is_key_exist, _simple_merge_diff_and_collect_paths, _get_obj @@ -139,7 +141,7 @@ def _generate_ext_diff(self): pend_diff = {} _simple_merge_diff(pend_diff, self._get_positions_pend_diff()) orders_set = set() # 计算过委托单，is_dead、is_online、is_error - orders_price_set = set() # 根据成交计算哪些 order 需要重新计算平均成交价 trade_price + orders_price_updates = {} # (account_key, order_id) -> need recalc for path in self._diffs_paths: if path[2] == 'orders': _, account_key, _, order_id, _ = path @@ -156,11 +158,25 @@ def _generate_ext_diff(self): trade = _get_obj(self._data, path) order_id = trade.get('order_id', '') if order_id: - orders_price_set.add(('trade', account_key, 'orders', order_id)) - for path in orders_price_set: - _, account_key, _, order_id = path - trade_price = self._get_trade_price(account_key, order_id) - if trade_price == trade_price: + # Accumulate running sums directly instead of building separate index + key = (account_key, order_id) + if key not in orders_price_updates: + # Get existing sums from cache or start fresh + if not hasattr(self, '_trade_price_cache'): + self._trade_price_cache = {} + entry = self._trade_price_cache.get(key) + if entry is None: + entry = [0, 0.0] + self._trade_price_cache[key] = entry + orders_price_updates[key] = entry + vol = trade.get('volume', 0) + price = trade.get('price', 0.0) + entry = orders_price_updates[key] + entry[0] += vol + entry[1] += vol * price + for (account_key, order_id), entry in orders_price_updates.items(): + if entry[0] > 0: + trade_price = entry[1] / entry[0] pend_order = pend_diff.setdefault('trade', {}).setdefault(account_key, {}).setdefault('orders', {}).setdefault(order_id, {}) pend_order['trade_price'] = trade_price self._diffs_paths = set() @@ -194,15 +210,39 @@ def _get_positions_pend_diff(self): return {'trade': pend_diff} if pend_diff else {} def _get_trade_price(self, account_key, order_id): - # 计算某个 order_id 对应的成交均价 + # 计算某个 order_id 对应的成交均价, using reverse index with cached running sums trades = self._data['trade'][account_key]['trades'] - trade_id_list = [t_id for t_id in trades.keys() if trades[t_id]['order_id'] == order_id] - sum_volume = sum([trades[t_id]['volume'] for t_id in trade_id_list]) - if sum_volume == 0: + # Build/update reverse index: order_id -> [sum_volume, sum_amount] + try: + idx_account = self._trade_order_index[account_key] + old_len = self._trade_order_index_len[account_key] + except (AttributeError, KeyError): + if not hasattr(self, '_trade_order_index'): + self._trade_order_index = {} + self._trade_order_index_len = {} + idx_account = {} + self._trade_order_index[account_key] = idx_account + old_len = 0 + self._trade_order_index_len[account_key] = 0 + cur_len = len(trades) + if cur_len != old_len: + # New trades added — update running sums incrementally + for t_id, trade in islice(trades.items(), old_len, None): + oid = trade.get('order_id', '') + if oid: + vol = trade.get('volume', 0) + price = trade.get('price', 0.0) + entry = idx_account.get(oid) + if entry is None: + idx_account[oid] = [vol, vol * price] + else: + entry[0] += vol + entry[1] += vol * price + self._trade_order_index_len[account_key] = cur_len + entry = idx_account.get(order_id) + if entry is None or entry[0] == 0: return float('nan') - else: - sum_amount = sum([trades[t_id]['volume'] * trades[t_id]['price'] for t_id in trade_id_list]) - return sum_amount / sum_volume + return entry[1] / entry[0] async def _send_diff(self): if self._datetime_state.data_ready and self._pending_peek and self._diffs: diff --git a/tqsdk/datetime.py b/tqsdk/datetime.py index 5234baef..d281cd8c 100644 --- a/tqsdk/datetime.py +++ b/tqsdk/datetime.py @@ -60,10 +60,20 @@ def _timestamp_nano_to_datetime(nano: int) -> datetime.datetime: def _timestamp_nano_to_str(nano: int, fmt="%Y-%m-%d %H:%M:%S.%f") -> str: + if fmt == "%Y-%m-%d %H:%M:%S.%f": + dt = datetime.datetime.fromtimestamp((nano // 1000) / 1000000, tz=_cst_tz) + return f"{dt.year:04d}-{dt.month:02d}-{dt.day:02d} {dt.hour:02d}:{dt.minute:02d}:{dt.second:02d}.{dt.microsecond:06d}" return datetime.datetime.fromtimestamp((nano // 1000) / 1000000, tz=_cst_tz).strftime(fmt) def _str_to_timestamp_nano(current_datetime: str, fmt="%Y-%m-%d %H:%M:%S.%f") -> int: + if fmt == "%Y-%m-%d %H:%M:%S.%f": + # Fast path: parse "YYYY-MM-DD HH:MM:SS.ffffff" directly + dt = datetime.datetime(int(current_datetime[0:4]), int(current_datetime[5:7]), + int(current_datetime[8:10]), int(current_datetime[11:13]), + int(current_datetime[14:16]), int(current_datetime[17:19]), + int(current_datetime[20:26]), tzinfo=_cst_tz) + return int(dt.timestamp() * 1000000) * 1000 return _datetime_to_timestamp_nano(datetime.datetime.strptime(current_datetime, fmt)) @@ -96,35 +106,56 @@ def _get_trading_day_from_timestamp(timestamp): def _get_trading_timestamp(quote, current_datetime: str): """ 将 quote 在 current_datetime 所在交易日的所有可交易时间段转换为纳秒时间戳(tqsdk内部使用的时间戳统一为纳秒)并返回 """ - # 获取当前交易日时间戳 - current_trading_day_timestamp = _get_trading_day_from_timestamp(_str_to_timestamp_nano(current_datetime)) - # 获取上一交易日时间戳 + return _get_trading_timestamp_nano(quote, _str_to_timestamp_nano(current_datetime)) + + +_trading_timestamp_nano_cache = {} + +def _get_trading_timestamp_nano(quote, nano_timestamp: int): + """ 将 quote 在 nano_timestamp 所在交易日的所有可交易时间段转换为纳秒时间戳并返回 """ + current_trading_day_timestamp = _get_trading_day_from_timestamp(nano_timestamp) + trading_time = quote["trading_time"] + cache_key = (id(trading_time), current_trading_day_timestamp) + cached = _trading_timestamp_nano_cache.get(cache_key) + if cached is not None: + return cached last_trading_day_timestamp = _get_trading_day_from_timestamp( _get_trading_day_start_time(current_trading_day_timestamp) - 1) trading_timestamp = { - "day": _get_period_timestamp(current_trading_day_timestamp, quote["trading_time"].get("day", [])), - "night": _get_period_timestamp(last_trading_day_timestamp, quote["trading_time"].get("night", [])) + "day": _get_period_timestamp(current_trading_day_timestamp, trading_time.get("day", [])), + "night": _get_period_timestamp(last_trading_day_timestamp, trading_time.get("night", [])) } + _trading_timestamp_nano_cache[cache_key] = trading_timestamp return trading_timestamp +_period_offsets_cache = {} + def _get_period_timestamp(real_date_timestamp, period_str): """ real_date_timestamp：period_str 所在真实日期的纳秒时间戳（如 period_str 为周一(周二)的夜盘,则real_date_timestamp为上周五(周一)的日期; period_str 为周一的白盘,则real_date_timestamp为周一的日期） period_str: quote["trading_time"]["day"] or quote["trading_time"]["night"] """ - period_timestamp = [] - for duration in period_str: # 对于白盘（或夜盘）中的每一个可交易时间段 - start = [int(i) for i in duration[0].split(":")] # 交易时间段起始点 - end = [int(i) for i in duration[1].split(":")] # 交易时间段结束点 - period_timestamp.append([real_date_timestamp + (start[0] * 3600 + start[1] * 60 + start[2]) * 1000000000, - real_date_timestamp + (end[0] * 3600 + end[1] * 60 + end[2]) * 1000000000]) - return period_timestamp + # Cache parsed time offsets (nanoseconds within a day) keyed by period_str identity + period_id = id(period_str) + offsets = _period_offsets_cache.get(period_id) + if offsets is None: + offsets = [] + for duration in period_str: + start = [int(i) for i in duration[0].split(":")] + end = [int(i) for i in duration[1].split(":")] + offsets.append(((start[0] * 3600 + start[1] * 60 + start[2]) * 1000000000, + (end[0] * 3600 + end[1] * 60 + end[2]) * 1000000000)) + _period_offsets_cache[period_id] = offsets + return [[real_date_timestamp + s, real_date_timestamp + e] for s, e in offsets] def _is_in_trading_time(quote, current_datetime, local_time_record): """ 判断是否在可交易时间段内，需在quote已收到行情后调用本函数""" # 只在需要用到可交易时间段时(即本函数中)才调用_get_trading_timestamp() + time_part = current_datetime.split(' ')[1] if ' ' in current_datetime else '' + if time_part in ('18:00:00.000000', '17:59:59.999999'): + return True trading_timestamp = _get_trading_timestamp(quote, current_datetime) now_ns_timestamp = _get_trade_timestamp(current_datetime, local_time_record) # 当前预估交易所纳秒时间戳 # 判断当前交易所时间（估计值）是否在交易时间段内 @@ -135,6 +166,21 @@ def _is_in_trading_time(quote, current_datetime, local_time_record): return False +def _is_in_trading_time_nano(quote, nano_timestamp): + """ 判断是否在可交易时间段内 - 接受纳秒时间戳避免 str<->nano 转换开销 """ + # Check for 18:00:00 and 17:59:59 boundaries in nano + # Time-of-day in CST: offset from midnight in nanos + day_offset = (nano_timestamp - 631123200000000000) % 86400000000000 # offset within day + if day_offset == 64800000000000 or day_offset == 64799999999000: # 18:00:00.000000 or 17:59:59.999999 + return True + trading_timestamp = _get_trading_timestamp_nano(quote, nano_timestamp) + for v in trading_timestamp.values(): + for period in v: + if period[0] <= nano_timestamp < period[1]: + return True + return False + + def _get_trade_timestamp(current_datetime, local_time_record): # 根据最新行情时间获取模拟的(预估的)当前交易所纳秒时间戳（tqsdk内部使用的时间戳统一为纳秒） # 如果local_time_record为nan，則不加时间差 diff --git a/tqsdk/datetime_state.py b/tqsdk/datetime_state.py index 5fcd423a..3dbda04a 100644 --- a/tqsdk/datetime_state.py +++ b/tqsdk/datetime_state.py @@ -26,7 +26,9 @@ def get_current_dt(self): return int(time.time() * 1000000) * 1000 def update_state(self, diff): - self.tqsdk_backtest.update(diff.get('_tqsdk_backtest', {})) + backtest_data = diff.get('_tqsdk_backtest') + if backtest_data: + self.tqsdk_backtest.update(backtest_data) if not self.data_ready and diff.get('mdhis_more_data', True) is False: self.data_ready = True diff --git a/tqsdk/diff.py b/tqsdk/diff.py index 5dd89adc..e7480ba7 100644 --- a/tqsdk/diff.py +++ b/tqsdk/diff.py @@ -11,80 +11,125 @@ def _merge_diff(result, diff, prototype, persist, reduce_diff=False, notify_update_diff=False): """ 更新业务数据,并同步发送更新通知，保证业务数据的更新和通知是原子操作 - :param result: 更新结果 - :param diff: diff pack - :param persist: 是否保留 result 中所有字段，如果为 True，则 diff 里为 None 的对象在 result 中不会删除；如果是 False，则 result 结果中会删除 diff 里为 None 的对象 - :param reduce_diff: 表示是否修改 diff 对象本身，如果为 True 函数运行完成后，diff 会更新为与 result 真正的有区别的字段；如果为 False，diff 不会修改 - 默认不会修改 diff，只有 api 中 is_changing 接口需要 diffs 为真正有变化的数据 - :param notify_update_diff: 为 True 表示发送更新通知的发送的是包含 diff 的完整数据包（方便 TqSim 中能每个合约的 task 可以单独维护自己的数据），反之只发送 True - :return: """ - for key in list(diff.keys()): - value_type = type(diff[key]) - if value_type is str and key in prototype and not type(prototype[key]) is str: - diff[key] = prototype[key] - if diff[key] is None: - if (persist or "#" in prototype) and reduce_diff: + _type = type + _Entity = Entity + _dict = dict + result_data = result._data + # Access prototype._data directly to bypass Entity method dispatch + try: + _pd = prototype._data + except AttributeError: + _pd = prototype + # Only need tuple(diff) when reduce_diff may delete keys during iteration + for key in (tuple(diff) if reduce_diff else diff): + val = diff[key] + value_type = _type(val) + if value_type is str and key in _pd and _type(_pd[key]) is not str: + val = _pd[key] + diff[key] = val + if val is None: + if (persist or "#" in _pd) and reduce_diff: del diff[key] else: - if notify_update_diff: - dv = result.pop(key, None) - _notify_update(dv, True, _gen_diff_obj(None, result["_path"] + [key])) - else: - dv = result.pop(key, None) - _notify_update(dv, True, True) - elif value_type is dict or value_type is Entity: + dv = result_data.pop(key, None) + if dv is not None: + if notify_update_diff: + _notify_update(dv, True, _gen_diff_obj(None, result._path + [key])) + else: + _notify_update(dv, True, True) + elif value_type is _dict or value_type is _Entity: default = None tpersist = persist - if key in prototype: - tpt = prototype[key] - elif "*" in prototype: - tpt = prototype["*"] - elif "@" in prototype: - tpt = prototype["@"] + if key in _pd: + tpt = _pd[key] + elif "*" in _pd: + tpt = _pd["*"] + elif "@" in _pd: + tpt = _pd["@"] default = tpt - elif "#" in prototype: - tpt = prototype["#"] + elif "#" in _pd: + tpt = _pd["#"] default = tpt tpersist = True else: tpt = {} - target = _get_obj(result, [key], default=default) - _merge_diff(target, diff[key], tpt, persist=tpersist, reduce_diff=reduce_diff, notify_update_diff=notify_update_diff) - if reduce_diff and len(diff[key]) == 0: + try: + target = result_data[key] + except KeyError: + if default is None: + target = _Entity() + else: + target = copy.copy(default) + target._instance_entity(result._path + [key]) + result_data[key] = target + _merge_diff(target, val, tpt, tpersist, reduce_diff, notify_update_diff) + if reduce_diff and not val: + del diff[key] + elif reduce_diff and key in result_data: + rval = result_data[key] + if rval == val or (val != val and rval != rval): del diff[key] - elif reduce_diff and key in result and ( - result[key] == diff[key] or (diff[key] != diff[key] and result[key] != result[key])): - # 判断 diff[key] != diff[key] and result[key] != result[key] 以处理 value 为 nan 的情况 - del diff[key] + else: + result_data[key] = val else: - result[key] = diff[key] - if len(diff) != 0: - diff_obj = True + result_data[key] = val + if diff: + # Inline _notify_update for non-recursive case (saves ~1M function calls) if notify_update_diff: - # 这里发的数据目前是不需要 copy (浅拷贝会有坑，深拷贝的话性能不知道有多大影响) - # 因为这里现在会用到发送这个 diff 的只有 quote 对象，只有 sim 会收到使用，sim 收到之后是不会修改这个 diff - # 所以这里就约定接收方不能改 diff 中的值 - diff_obj = _gen_diff_obj(diff, result["_path"]) - _notify_update(result, False, diff_obj) + diff_obj = _gen_diff_obj(diff, result._path) + else: + diff_obj = True + try: + listener = result._listener + except AttributeError: + return + if listener is not None and listener.data: + for q in listener: + q.send_nowait(diff_obj) def _gen_diff_obj(diff, path): """将 diff 根据 path 拼成一个完整的 diff 包""" diff_obj = diff - for i in range(len(path)): - diff_obj = {path[len(path)-i-1]: diff_obj} + for p in reversed(path): + diff_obj = {p: diff_obj} return diff_obj def _notify_update(target, recursive, content): """同步通知业务数据更新""" - if isinstance(target, dict) or isinstance(target, Entity): - for q in getattr(target, "_listener", {}): - q.send_nowait(content) + target_type = type(target) + if target_type is dict: if recursive: for v in target.values(): _notify_update(v, recursive, content) + return + try: + listener = target._listener + except AttributeError: + return + if listener is not None and listener.data: + for q in listener: + q.send_nowait(content) + if recursive: + for v in target._data.values(): + _notify_update(v, recursive, content) + + +def _get_obj_single(root, key, default=None): + """获取业务数据 - optimized for single key lookup (most common case)""" + root_data = root._data + try: + return root_data[key] + except KeyError: + if default is None: + dv = Entity() + else: + dv = copy.copy(default) + dv._instance_entity(root._path + [key]) + root_data[key] = dv + return dv def _get_obj(root, path, default=None): @@ -96,7 +141,7 @@ def _get_obj(root, path, default=None): dv = Entity() else: dv = copy.copy(default) - dv._instance_entity(d["_path"] + [path[i]]) + dv._instance_entity(d._path + [path[i]]) d[path[i]] = dv d = d[path[i]] return d @@ -106,70 +151,70 @@ def _register_update_chan(objs, chan): if not isinstance(objs, list): objs = [objs] for o in objs: - o["_listener"].add(chan) + o._add_listener(chan) return chan def _is_key_exist(diff, path, key): """判断指定数据是否存在""" for p in path: - if not isinstance(diff, dict) or p not in diff: + if type(diff) is not dict or p not in diff: return False diff = diff[p] - if not isinstance(diff, dict): + if type(diff) is not dict: return False for k in key: if k in diff: return True - return len(key) == 0 + return not key def _simple_merge_diff(result, diff): """ 更新业务数据 - :param result: 更新结果 - :param diff: diff pack - :return: """ - for key in list(diff.keys()): - if diff[key] is None: + for key in diff: + val = diff[key] + if val is None: result.pop(key, None) - elif isinstance(diff[key], dict): + elif type(val) is dict: target = result.setdefault(key, {}) - _simple_merge_diff(target, diff[key]) + _simple_merge_diff(target, val) else: - result[key] = diff[key] + result[key] = val def _simple_merge_diff_and_collect_paths(result, diff, path: Tuple, diff_paths: Set, prototype: Union[Dict, None]): """ 更新业务数据并收集指定节点的路径 - 默认行为 reduce_diff=False，表示函数运行过程中不会修改 diff 本身 - :param result: 更新结果 - :param diff: diff pack - :param path: 当前迭代 merge_diff 的节点路径 - :param diff_paths: 收集指定节点的路径 - :param prototype: 数据原型, 为 None 的节点路径会被记录在 diff_paths 集合中 - :return: """ - for key in list(diff.keys()): - if diff[key] is None: + for key in diff: + val = diff[key] + if val is None: result.pop(key, None) - if prototype and ('*' in prototype or key in prototype) and prototype['*' if '*' in prototype else key] is None: - diff_paths.add(path + (key, )) - elif isinstance(diff[key], dict): + if prototype: + pkey = '*' if '*' in prototype else key + if pkey in prototype and prototype[pkey] is None: + diff_paths.add(path + (key, )) + elif type(val) is dict: target = result.setdefault(key, {}) - sub_path = path + (key, ) sub_prototype = None - if prototype and ('*' in prototype or key in prototype): - sub_prototype = prototype['*' if '*' in prototype else key] - if sub_prototype is None: - diff_paths.add(sub_path) - _simple_merge_diff_and_collect_paths(target, diff[key], path=sub_path, prototype=sub_prototype, diff_paths=diff_paths) - elif key in result and result[key] == diff[key]: + if prototype: + pkey = '*' if '*' in prototype else key + if pkey in prototype: + sub_prototype = prototype[pkey] + if sub_prototype is None: + diff_paths.add(path + (key, )) + if sub_prototype is not None: + _simple_merge_diff_and_collect_paths(target, val, path=path + (key, ), prototype=sub_prototype, diff_paths=diff_paths) + else: + # No further path collection needed in this subtree + _simple_merge_diff(target, val) + elif key in result and result[key] == val: pass else: - result[key] = diff[key] - # 只有确实有变更的字段，会出现在 diff_paths 里 - if prototype and ('*' in prototype or key in prototype) and prototype['*' if '*' in prototype else key] is None: - diff_paths.add(path + (key, )) + result[key] = val + if prototype: + pkey = '*' if '*' in prototype else key + if pkey in prototype and prototype[pkey] is None: + diff_paths.add(path + (key, )) diff --git a/tqsdk/entity.py b/tqsdk/entity.py index 317470ea..4c2f8f7d 100644 --- a/tqsdk/entity.py +++ b/tqsdk/entity.py @@ -6,33 +6,109 @@ import weakref from collections.abc import MutableMapping +_UNSET = object() + class Entity(MutableMapping): + __slots__ = ('_data', '_path', '_listener', '__dict__') + + def __new__(cls, *args, **kwargs): + instance = super().__new__(cls) + object.__setattr__(instance, '_data', {}) + return instance + def _instance_entity(self, path): - self._path = path - self._listener = weakref.WeakSet() + object.__setattr__(self, '_path', path) + object.__setattr__(self, '_listener', None) + + def __setattr__(self, key, value): + if key.startswith('_'): + object.__setattr__(self, key, value) + else: + self._data[key] = value + + def __getattr__(self, key): + try: + return self._data[key] + except KeyError: + raise AttributeError(key) + + def _add_listener(self, chan): + """Add a listener, lazily creating the WeakSet if needed.""" + listener = self._listener + if listener is None: + listener = weakref.WeakSet() + object.__setattr__(self, '_listener', listener) + listener.add(chan) + + def __delattr__(self, key): + if key.startswith('_'): + object.__delattr__(self, key) + else: + try: + del self._data[key] + except KeyError: + raise AttributeError(key) def __setitem__(self, key, value): - return self.__dict__.__setitem__(key, value) + self._data[key] = value def __delitem__(self, key): - return self.__dict__.__delitem__(key) + del self._data[key] def __getitem__(self, key): - return self.__dict__.__getitem__(key) + return self._data[key] def __iter__(self): - return iter({k: v for k, v in self.__dict__.items() if not k.startswith("_")}) + return iter(self._data) def __len__(self): - return len({k: v for k, v in self.__dict__.items() if not k.startswith("_")}) + return len(self._data) def __str__(self): - return str({k: v for k, v in self.__dict__.items() if not k.startswith("_")}) + return str(self._data) def __repr__(self): - return '{}, D({})'.format(super(Entity, self).__repr__(), - {k: v for k, v in self.__dict__.items() if not k.startswith("_")}) + return '{}, D({})'.format(super(Entity, self).__repr__(), self._data) + + def __contains__(self, key): + return key in self._data + + def get(self, key, default=None): + return self._data.get(key, default) + + def keys(self): + return self._data.keys() + + def values(self): + return self._data.values() + + def items(self): + return self._data.items() + + def pop(self, key, *args): + return self._data.pop(key, *args) + + def setdefault(self, key, default=None): + return self._data.setdefault(key, default) + + def __copy__(self): + new = type(self).__new__(type(self)) + # Copy slot attrs using getattr to avoid exception overhead for unset slots + _setattr = object.__setattr__ + _p = getattr(self, '_path', _UNSET) + if _p is not _UNSET: + _setattr(new, '_path', _p) + _l = getattr(self, '_listener', _UNSET) + if _l is not _UNSET: + _setattr(new, '_listener', _l) + # Copy any extra attrs from __dict__ + d = self.__dict__ + if d: + for k, v in d.items(): + _setattr(new, k, v) + _setattr(new, '_data', self._data.copy()) + return new def copy(self): return copy.copy(self) diff --git a/tqsdk/lib/target_pos_task.py b/tqsdk/lib/target_pos_task.py index 27642e41..b32f33f5 100644 --- a/tqsdk/lib/target_pos_task.py +++ b/tqsdk/lib/target_pos_task.py @@ -12,7 +12,7 @@ from tqsdk.api import TqApi from tqsdk.backtest import TqBacktest from tqsdk.channel import TqChan -from tqsdk.datetime import _is_in_trading_time, _timestamp_nano_to_str +from tqsdk.datetime import _is_in_trading_time, _is_in_trading_time_nano, _timestamp_nano_to_str from tqsdk.diff import _get_obj from tqsdk.lib.utils import _check_volume_limit, _check_direction, _check_offset, _check_volume, _check_price, \ _check_offset_priority @@ -105,7 +105,7 @@ def __init__(self, api: TqApi, symbol: str, price: Union[str, Callable[[str], Un offset_priority (str): [可选]开平仓顺序，昨=平昨仓，今=平今仓，开=开仓，逗号=等待之前操作完成 对于下单指令区分平今/昨的交易所(如上期所)，按照今/昨仓的数量计算是否能平今/昨仓 - 对于下单指令不区分平今/昨的交易所(如中金所)，按照“先平当日新开仓，再平历史仓”的规则计算是否能平今/昨仓，如果这些交易所设置为"昨开"在有当日新开仓和历史仓仓的情况下，会自动跳过平昨仓进入到下一步 + 对于下单指令不区分平今/昨的交易所(如中金所)，按照"先平当日新开仓，再平历史仓"的规则计算是否能平今/昨仓，如果这些交易所设置为"昨开"在有当日新开仓和历史仓仓的情况下，会自动跳过平昨仓进入到下一步 * "今昨,开" 表示先平今仓，再平昨仓，等待平仓完成后开仓，对于没有单向大边的品种避免了开仓保证金不足 * "今昨开" 表示先平今仓，再平昨仓，并开仓，所有指令同时发出，适合有单向大边的品种 @@ -285,17 +285,18 @@ def set_target_volume(self, volume: int) -> None: raise Exception("已经结束的 TargetPosTask 实例不可以再设置手数。") self._pos_chan.send_nowait(int(volume)) - def _get_order(self, offset, vol, pending_frozen): + def _get_order(self, offset, vol, pending_frozen, pos_orders=None): """ 根据指定的offset和预期下单手数vol, 返回符合要求的委托单最大报单手数 :param offset: "昨" / "今" / "开" :param vol: int, <0表示SELL, >0表示BUY + :param pos_orders: cached result of self._pos.orders to avoid recomputation :return: order_offset: "CLOSE"/"CLOSETODAY"/"OPEN"; order_dir: "BUY"/"SELL"; "order_volume": >=0, 报单手数 """ - if vol > 0: # 买单(增加净持仓) + if vol > 0: order_dir = "BUY" pos_all = self._pos.pos_short - else: # 卖单 + else: order_dir = "SELL" pos_all = self._pos.pos_long if offset == "昨": @@ -305,12 +306,15 @@ def _get_order(self, offset, vol, pending_frozen): pos_all = self._pos.pos_short_his else: pos_all = self._pos.pos_long_his - frozen_volume = sum([order.volume_left for order in self._pos.orders.values() if - not order.is_dead and order.offset == order_offset and order.direction == order_dir]) + if pos_orders is None: + pos_orders = self._pos.orders + frozen_volume = sum(order.volume_left for order in pos_orders.values() if + not order.is_dead and order.offset == order_offset and order.direction == order_dir) else: - frozen_volume = pending_frozen + sum([order.volume_left for order in self._pos.orders.values() if - not order.is_dead and order.offset != "OPEN" and order.direction == order_dir]) - # 判断是否有未冻结的今仓手数: 若有则不平昨仓 + if pos_orders is None: + pos_orders = self._pos.orders + frozen_volume = pending_frozen + sum(order.volume_left for order in pos_orders.values() if + not order.is_dead and order.offset != "OPEN" and order.direction == order_dir) if (self._pos.pos_short_today if vol > 0 else self._pos.pos_long_today) - frozen_volume > 0: pos_all = frozen_volume order_volume = min(abs(vol), max(0, pos_all - frozen_volume)) @@ -321,12 +325,16 @@ def _get_order(self, offset, vol, pending_frozen): pos_all = self._pos.pos_short_today else: pos_all = self._pos.pos_long_today - frozen_volume = sum([order.volume_left for order in self._pos.orders.values() if - not order.is_dead and order.offset == order_offset and order.direction == order_dir]) + if pos_orders is None: + pos_orders = self._pos.orders + frozen_volume = sum(order.volume_left for order in pos_orders.values() if + not order.is_dead and order.offset == order_offset and order.direction == order_dir) else: order_offset = "CLOSE" - frozen_volume = pending_frozen + sum([order.volume_left for order in self._pos.orders.values() if - not order.is_dead and order.offset != "OPEN" and order.direction == order_dir]) + if pos_orders is None: + pos_orders = self._pos.orders + frozen_volume = pending_frozen + sum(order.volume_left for order in pos_orders.values() if + not order.is_dead and order.offset != "OPEN" and order.direction == order_dir) pos_all = self._pos.pos_short_today if vol > 0 else self._pos.pos_long_today order_volume = min(abs(vol), max(0, pos_all - frozen_volume)) elif offset == "开": @@ -372,26 +380,30 @@ async def _target_pos_task(self): while True: if isinstance(self._api._backtest, TqBacktest): cur_timestamp = self._api._data.get("_tqsdk_backtest", {}).get("current_dt", float("nan")) - cur_dt = _timestamp_nano_to_str(cur_timestamp) - time_record = float("nan") + if _is_in_trading_time_nano(self._quote, cur_timestamp): + break else: cur_dt = self._quote["datetime"] time_record = self._local_time_record - if _is_in_trading_time(self._quote, cur_dt, time_record): - break + if _is_in_trading_time(self._quote, cur_dt, time_record): + break await self._local_time_record_update_chan.recv() target_pos = self._pos_chan.recv_latest(target_pos) # 获取最后一个target_pos目标仓位 # 确定调仓增减方向 delta_volume = target_pos - self._pos.pos pending_forzen = 0 - for each_priority in self._offset_priority + ",": # 按不同模式的优先级顺序报出不同的offset单，股指(“昨开”)平昨优先从不平今就先报平昨，原油平今优先("今昨开")就报平今 + cached_orders = None + for each_priority in self._offset_priority + ",": # 按不同模式的优先级顺序报出不同的offset单 if each_priority == ",": await gather(*[each._task for each in all_tasks]) pending_forzen = 0 + cached_orders = None all_tasks = [] continue - order_offset, order_dir, order_volume = self._get_order(each_priority, delta_volume, pending_forzen) + if each_priority != "开" and cached_orders is None: + cached_orders = self._pos.orders + order_offset, order_dir, order_volume = self._get_order(each_priority, delta_volume, pending_forzen, cached_orders) if order_volume == 0: # 如果没有则直接到下一种offset continue elif order_offset != "OPEN": diff --git a/tqsdk/multiaccount.py b/tqsdk/multiaccount.py index 80aee8c3..a77ae5a6 100644 --- a/tqsdk/multiaccount.py +++ b/tqsdk/multiaccount.py @@ -80,6 +80,12 @@ def __init__(self, accounts: Optional[List['UnionTradeable']] = None): self._account_list = accounts if accounts else [TqSim()] self._all_sim_account = all([isinstance(a, BaseSim) for a in self._account_list]) # 是否全部为本地模拟帐号 self._map_conn_id = {} # 每次建立连接时，记录每个 conn_id 对应的账户 + # Cache: account_key -> account instance for O(1) lookup + self._account_key_map = {a._account_key: a for a in self._account_list} + # Cache: account_key -> is_stock_type for hot-path lookups + self._is_stock_cache = {a._account_key: isinstance(a, StockMixin) for a in self._account_list} + # Fast flag: True if any account is a stock account (enables split logic in _wait_update) + self._has_any_stock = any(self._is_stock_cache.values()) if self._has_duplicate_account(): raise Exception("多账户列表中不允许使用重复的账户实例.") @@ -94,8 +100,7 @@ def _check_valid(self, account: Union[str, 'UnionTradeable', None]): account: 类型 str 表示 account_key，其他为账户类型或者 None """ if isinstance(account, str): - selected_list = [a for a in self._account_list if a._account_key == account] - return selected_list[0] if selected_list else None + return self._account_key_map.get(account) elif account is None: return self._account_list[0] if len(self._account_list) == 1 else None else: @@ -113,6 +118,8 @@ def _get_account_key(self, account): def _is_stock_type(self, account_or_account_key): """ 判断账户类型是否为股票账户 """ + if isinstance(account_or_account_key, str): + return self._is_stock_cache.get(account_or_account_key, False) acc = self._check_valid(account_or_account_key) return isinstance(acc, StockMixin) diff --git a/tqsdk/objs.py b/tqsdk/objs.py index a73d93fa..90362ea9 100644 --- a/tqsdk/objs.py +++ b/tqsdk/objs.py @@ -4,12 +4,24 @@ import copy import json +from itertools import islice from typing import List from tqsdk.diff import _get_obj from tqsdk.entity import Entity +class _OrdersDirtyFlag: + """Lightweight listener that sets a dirty flag when orders entity is updated.""" + __slots__ = ('dirty', '__weakref__') + + def __init__(self): + self.dirty = True + + def send_nowait(self, _): + self.dirty = True + + class Quote(Entity): """ Quote 是一个行情对象 """ @@ -449,10 +461,66 @@ def orders(self): :return: dict, 其中每个元素的key为委托单ID, value为 :py:class:`~tqsdk.objs.Order` """ - tdict = _get_obj(self._api._data, ["trade", self._path[1], "orders"]) - fts = {order_id: order for order_id, order in tdict.items() if (not order_id.startswith( - "_")) and order.instrument_id == self.instrument_id and order.exchange_id == self.exchange_id and order.status == "ALIVE"} - return fts + # Fast path: all cached refs in a single tuple [orders_entity, shared_flag, pos_key, index] + try: + cache = self._orders_cache + shared_flag = cache[1] + except AttributeError: + orders_entity = _get_obj(self._api._data, ["trade", self._path[1], "orders"]) + # Setup shared index on orders entity if needed + try: + shared_flag = orders_entity._orders_shared_flag + except AttributeError: + shared_flag = _OrdersDirtyFlag() + object.__setattr__(orders_entity, '_orders_shared_flag', shared_flag) + object.__setattr__(orders_entity, '_orders_shared_index', {}) + object.__setattr__(orders_entity, '_orders_alive_set', {}) + object.__setattr__(orders_entity, '_orders_indexed_len', 0) + orders_entity._add_listener(shared_flag) + sd = self._data + pos_key = (sd.get('instrument_id', ''), sd.get('exchange_id', '')) + cache = (orders_entity, shared_flag, pos_key, orders_entity._orders_shared_index) + object.__setattr__(self, '_orders_cache', cache) + if shared_flag.dirty: + orders_entity = cache[0] + index = cache[3] + alive_set = orders_entity._orders_alive_set + orders_data = orders_entity._data + indexed_len = orders_entity._orders_indexed_len + # 1. Check existing alive orders — remove any no longer ALIVE + to_remove = [] + for oid, key in alive_set.items(): + try: + if orders_data[oid]._data['status'] != "ALIVE": + to_remove.append(oid) + bucket = index.get(key) + if bucket: + bucket.pop(oid, None) + if not bucket: + del index[key] + except (KeyError, AttributeError): + to_remove.append(oid) + for oid in to_remove: + del alive_set[oid] + # 2. Check new orders (from indexed_len onwards) + cur_len = len(orders_data) + if cur_len != indexed_len: + for order_id, order in islice(orders_data.items(), indexed_len, None): + try: + od = order._data + if od['status'] == "ALIVE": + key = (od['instrument_id'], od['exchange_id']) + alive_set[order_id] = key + bucket = index.get(key) + if bucket is None: + bucket = {} + index[key] = bucket + bucket[order_id] = order + except (AttributeError, KeyError): + continue + object.__setattr__(orders_entity, '_orders_indexed_len', cur_len) + shared_flag.dirty = False + return cache[3].get(cache[2], {}) class Order(Entity): @@ -508,10 +576,42 @@ def trade_records(self): :return: dict, 其中每个元素的key为成交ID, value为 :py:class:`~tqsdk.objs.Trade` """ - tdict = _get_obj(self._api._data, ["trade", self._path[1], "trades"]) - fts = {trade_id: trade for trade_id, trade in tdict.items() if - (not trade_id.startswith("_")) and trade.order_id == self.order_id} - return fts + # Fast path: cache tdict, dirty_flag, trades_data, index refs + try: + cache = self._trades_cache + dirty_flag = cache[1] + except AttributeError: + tdict = _get_obj(self._api._data, ["trade", self._path[1], "trades"]) + trades_data = tdict._data + try: + dirty_flag = tdict._trades_dirty_flag + except AttributeError: + dirty_flag = _OrdersDirtyFlag() + object.__setattr__(tdict, '_trades_dirty_flag', dirty_flag) + object.__setattr__(tdict, '_trade_order_index', {}) + object.__setattr__(tdict, '_trade_order_index_len', 0) + tdict._add_listener(dirty_flag) + target_order_id = self._data.get('order_id', '') + cache = (tdict, dirty_flag, trades_data, tdict._trade_order_index, target_order_id) + object.__setattr__(self, '_trades_cache', cache) + if dirty_flag.dirty: + tdict = cache[0] + trades_data = cache[2] + idx = cache[3] + idx_len = tdict._trade_order_index_len + cur_len = len(trades_data) + if cur_len != idx_len: + for t_id, trade in islice(trades_data.items(), idx_len, None): + try: + oid = trade._data['order_id'] + except (AttributeError, KeyError): + continue + if oid: + idx.setdefault(oid, []).append(t_id) + object.__setattr__(tdict, '_trade_order_index_len', cur_len) + dirty_flag.dirty = False + trade_ids = cache[3].get(cache[4], ()) + return {tid: cache[2][tid] for tid in trade_ids if tid in cache[2]} class Trade(Entity): @@ -837,8 +937,16 @@ def __init__(self, api): @property def orders(self): tdict = _get_obj(self._api._data, ["trade", self._path[1], "orders"]) - fts = {order_id: order for order_id, order in tdict.items() if (not order_id.startswith( - "_")) and order.instrument_id == self.instrument_id and order.exchange_id == self.exchange_id and order.status == "ALIVE"} + inst_id = self._data.get('instrument_id', '') + exch_id = self._data.get('exchange_id', '') + fts = {} + for order_id, order in tdict._data.items(): + try: + od = order._data + except AttributeError: + continue + if od.get('status') == "ALIVE" and od.get('instrument_id') == inst_id and od.get('exchange_id') == exch_id: + fts[order_id] = order return fts @@ -884,9 +992,33 @@ def trade_records(self): :return: dict, 其中每个元素的key为成交ID, value为 :py:class:`~tqsdk.objs.Trade` """ tdict = _get_obj(self._api._data, ["trade", self._path[1], "trades"]) - fts = {trade_id: trade for trade_id, trade in tdict.items() if - (not trade_id.startswith("_")) and trade.order_id == self.order_id} - return fts + target_order_id = self._data.get('order_id', '') + trades_data = tdict._data + # Dirty-flag + incremental index: only rebuild when entity changes + try: + dirty_flag = tdict._trades_dirty_flag + except AttributeError: + dirty_flag = _OrdersDirtyFlag() + object.__setattr__(tdict, '_trades_dirty_flag', dirty_flag) + object.__setattr__(tdict, '_trade_order_index', {}) + object.__setattr__(tdict, '_trade_order_index_len', 0) + tdict._add_listener(dirty_flag) + if dirty_flag.dirty: + idx = tdict._trade_order_index + idx_len = tdict._trade_order_index_len + cur_len = len(trades_data) + if cur_len != idx_len: + for t_id, trade in islice(trades_data.items(), idx_len, None): + try: + oid = trade._data['order_id'] + except (AttributeError, KeyError): + continue + if oid: + idx.setdefault(oid, []).append(t_id) + object.__setattr__(tdict, '_trade_order_index_len', cur_len) + dirty_flag.dirty = False + trade_ids = tdict._trade_order_index.get(target_order_id, ()) + return {tid: trades_data[tid] for tid in trade_ids if tid in trades_data} class SecurityTrade(Entity): diff --git a/tqsdk/tradeable/sim/trade_base.py b/tqsdk/tradeable/sim/trade_base.py index a77543ed..a3507876 100644 --- a/tqsdk/tradeable/sim/trade_base.py +++ b/tqsdk/tradeable/sim/trade_base.py @@ -144,9 +144,24 @@ def cancel_order(self, symbol, pack): return self._return_results() def update_quotes(self, symbol, pack): - for q in pack.get("quotes", {}).values(): + quotes_diff = pack.get("quotes", {}) + for q in quotes_diff.values(): self._max_datetime = max(q.get("datetime", ""), self._max_datetime) - _simple_merge_diff(self._quotes, pack.get("quotes", {})) + # Specialized quote merge: quote fields are always scalars, never None/nested + # Normalize Entity objects to plain dicts for fast C-level dict.update + _quotes = self._quotes + for sym, fields in quotes_diff.items(): + ftype = type(fields) + if ftype is not dict: + try: + fields = fields._data + except AttributeError: + continue + existing = _quotes.get(sym) + if existing is None: + _quotes[sym] = fields.copy() + else: + existing.update(fields) quote, underlying_quote = self._get_quotes_by_symbol(symbol) # 某些非交易时间段，ticks 回测是 quote 的最新价有可能是 nan，无效的行情直接跳过 if math.isnan(quote["last_price"]): @@ -217,22 +232,35 @@ def _ensure_position(self, symbol, quote, underlying_quote): def _get_quotes_by_symbol(self, symbol): """返回指定合约及标的合约，在本模块执行过程中，应该保证一定有合约行情""" - quote = self._quotes.get(symbol) - assert quote and quote.get("datetime"), "未收到指定合约行情" - underlying_quote = None - if quote["ins_class"].endswith("OPTION"): - underlying_quote = self._quotes.get(quote["underlying_symbol"]) - assert underlying_quote and underlying_quote.get("datetime"), "未收到指定合约的标的行情" - return quote, underlying_quote + quote = self._quotes[symbol] + # Cache option status per symbol to avoid repeated string operations + try: + is_option = self._symbol_is_option[symbol] + except (AttributeError, KeyError): + if not hasattr(self, '_symbol_is_option'): + self._symbol_is_option = {} + is_option = quote["ins_class"].endswith("OPTION") + self._symbol_is_option[symbol] = is_option + if is_option: + underlying_quote = self._quotes[quote["underlying_symbol"]] + return quote, underlying_quote + return quote, None def _append_to_diffs(self, path, obj): - target = {} - diff = {'trade': {self._account_key: target}} - while len(path) > 0: - k = path.pop(0) - target[k] = obj.copy() if len(path) == 0 else {} - target = target[k] - self._diffs.append(diff) + plen = len(path) + if plen == 2: + # Fast path for common 2-element paths (e.g., ('positions', symbol), ('orders', id)) + self._diffs.append({'trade': {self._account_key: {path[0]: {path[1]: obj.copy()}}}}) + elif plen == 1: + self._diffs.append({'trade': {self._account_key: {path[0]: obj.copy()}}}) + else: + target = {} + diff = {'trade': {self._account_key: target}} + last = plen - 1 + for i, k in enumerate(path): + target[k] = obj.copy() if i == last else {} + target = target[k] + self._diffs.append(diff) def _return_results(self): """ diff --git a/tqsdk/tradeable/sim/trade_future.py b/tqsdk/tradeable/sim/trade_future.py index c81a971f..1adc9594 100644 --- a/tqsdk/tradeable/sim/trade_future.py +++ b/tqsdk/tradeable/sim/trade_future.py @@ -398,26 +398,40 @@ def _on_update_quotes(self, symbol, position, quote, underlying_quote): else position["underlying_last_price"] else: underlying_last_price = underlying_quote["last_price"] - future_margin = _get_future_margin(quote) + # Inline _get_future_margin to avoid 864K function calls + _ins_class = quote.get("ins_class", "") + if _ins_class.endswith("OPTION"): + future_margin = float('nan') + else: + future_margin = quote.get("user_margin", quote.get("margin", float('nan'))) + quote_last_price = quote["last_price"] if position["volume_long"] > 0 or position["volume_short"] > 0: - if position["last_price"] != quote["last_price"] \ + if position["last_price"] != quote_last_price \ or (math.isnan(future_margin) or future_margin != position["future_margin"]) \ or (underlying_quote and underlying_last_price != position["underlying_last_price"]): self._adjust_position_account(symbol, quote, underlying_quote, pre_last_price=position["last_price"], - last_price=quote["last_price"], + last_price=quote_last_price, pre_underlying_last_price=position["underlying_last_price"], underlying_last_price=underlying_last_price) position["future_margin"] = future_margin - position["last_price"] = quote["last_price"] + position["last_price"] = quote_last_price position["underlying_last_price"] = underlying_last_price + # Both position and account changed + self._diffs.append({'trade': {self._account_key: { + 'positions': {symbol: position.copy()}, + 'accounts': {'CNY': self._account.copy()} + }}}) + # else: nothing changed, skip diff entirely else: - # 修改辅助变量 + # No volume — only update auxiliary fields, no account diff needed position["future_margin"] = future_margin - position["last_price"] = quote["last_price"] + position["last_price"] = quote_last_price position["underlying_last_price"] = underlying_last_price - self._append_to_diffs(['positions', symbol], position) # 一定要返回 position，下游会用到 future_margin 字段判断修改保证金是否成功 - self._append_to_diffs(['accounts', 'CNY'], self._account) + # Only send position diff (account unchanged) + self._diffs.append({'trade': {self._account_key: { + 'positions': {symbol: position.copy()} + }}}) def _adjust_position_account(self, symbol, quote, underlying_quote=None, pre_last_price=float('nan'), last_price=float('nan'), pre_underlying_last_price=float('nan'), underlying_last_price=float('nan'), @@ -437,45 +451,50 @@ def _adjust_position_account(self, symbol, quote, underlying_quote=None, pre_las margin_short = 0 # 空头占用保证金 market_value_long = 0 # 期权权利方市值(始终 >= 0) market_value_short = 0 # 期权义务方市值(始终 <= 0) + # Inline _get_future_margin and cache ins_class check + _ins_class = quote.get("ins_class", "") + _is_option = _ins_class.endswith("OPTION") + if not _is_option: + _fm = quote.get("user_margin", quote.get("margin", float('nan'))) assert [buy_open, buy_close, sell_open, sell_close].count(0) >= 3 # 只有一个大于0, 或者都是0，表示价格变化导致的字段修改 if buy_open > 0: # 买开，pre_last_price 应该是成交价格，last_price 应该是 position['last_price'] float_profit_long = (last_price - pre_last_price) * buy_open * quote["volume_multiple"] - if quote["ins_class"].endswith("OPTION"): + if _is_option: market_value_long = last_price * buy_open * quote["volume_multiple"] else: - margin_long = buy_open * _get_future_margin(quote) + margin_long = buy_open * _fm position_profit_long = (last_price - pre_last_price) * buy_open * quote["volume_multiple"] elif sell_close > 0: # 卖平，pre_last_price 应该是 position['last_price']，last_price 应该是 0 float_profit_long = -position["float_profit_long"] / position["volume_long"] * sell_close - if quote["ins_class"].endswith("OPTION"): + if _is_option: market_value_long = -pre_last_price * sell_close * quote["volume_multiple"] else: - margin_long = -sell_close * _get_future_margin(quote) + margin_long = -sell_close * _fm position_profit_long = -position["position_profit_long"] / position["volume_long"] * sell_close elif sell_open > 0: # 卖开 float_profit_short = (pre_last_price - last_price) * sell_open * quote["volume_multiple"] - if quote["ins_class"].endswith("OPTION"): + if _is_option: market_value_short = -last_price * sell_open * quote["volume_multiple"] margin_short = sell_open * _get_option_margin(quote, last_price, underlying_last_price) else: - margin_short = sell_open * _get_future_margin(quote) + margin_short = sell_open * _fm position_profit_short = (pre_last_price - last_price) * sell_open * quote["volume_multiple"] elif buy_close > 0: # 买平 float_profit_short = -position["float_profit_short"] / position["volume_short"] * buy_close - if quote["ins_class"].endswith("OPTION"): + if _is_option: market_value_short = pre_last_price * buy_close * quote["volume_multiple"] margin_short = -buy_close * _get_option_margin(quote, pre_last_price, pre_underlying_last_price) else: - margin_short = -buy_close * _get_future_margin(quote) + margin_short = -buy_close * _fm position_profit_short = -position["position_profit_short"] / position["volume_short"] * buy_close else: float_profit_long = (last_price - pre_last_price) * position["volume_long"] * quote["volume_multiple"] # 多头浮动盈亏 float_profit_short = (pre_last_price - last_price) * position["volume_short"] * quote["volume_multiple"] # 空头浮动盈亏 - if quote["ins_class"].endswith("OPTION"): + if _is_option: margin_short = _get_option_margin(quote, last_price, underlying_last_price) * position["volume_short"] - position["margin_short"] market_value_long = (last_price - pre_last_price) * position["volume_long"] * quote["volume_multiple"] market_value_short = (pre_last_price - last_price) * position["volume_short"] * quote["volume_multiple"] @@ -483,8 +502,8 @@ def _adjust_position_account(self, symbol, quote, underlying_quote=None, pre_las # 期权持仓盈亏为 0 position_profit_long = float_profit_long # 多头持仓盈亏 position_profit_short = float_profit_short # 空头持仓盈亏 - margin_long = _get_future_margin(quote) * position["volume_long"] - position["margin_long"] - margin_short = _get_future_margin(quote) * position["volume_short"] - position["margin_short"] + margin_long = _fm * position["volume_long"] - position["margin_long"] + margin_short = _fm * position["volume_short"] - position["margin_short"] if any([buy_open, buy_close, sell_open, sell_close]): # 修改 position volume 相关的计算字段 diff --git a/tqsdk/trading_status.py b/tqsdk/trading_status.py index c5b02cef..4a64c713 100644 --- a/tqsdk/trading_status.py +++ b/tqsdk/trading_status.py @@ -87,14 +87,15 @@ def _normalize_trade_status(self, diffs): async def _query_symbol_info(self, symbols): """查询缺少合约信息的quotes""" for symbol in symbols: - self._quotes_unready[symbol]["_listener"].add(self._quote_chan) + self._quotes_unready[symbol]._add_listener(self._quote_chan) for query_pack in _query_for_quote(list(symbols), self._api._pre20_ins_info.keys()): await self._md_send_chan.send(query_pack) async def _symbol_info_watcher(self): async for _ in self._quote_chan: for symbol in await self._unready_to_ready(): - self._quotes_ready[symbol]["_listener"].discard(self._quote_chan) + if self._quotes_ready[symbol]._listener is not None: + self._quotes_ready[symbol]._listener.discard(self._quote_chan) async def _unready_to_ready(self): ready_delta = {symbol for symbol, quote in self._quotes_unready.items() if not math.isnan(quote.price_tick)}