Files
big-qmt/py-client/strategy/zt/boot.py
2026-09-11 10:44:34 +08:00

119 lines
6.0 KiB
Python

"""ZT 启动与串行调度:成交同步、买回、卖出、建仓。"""
import logging as log
import time
from contextlib import closing
from datetime import datetime
from pathlib import Path
from tempfile import TemporaryDirectory
import config
from libs.calc import trading_time
from libs.collector import collector_push
from libs.grid_take_profit import GridTrailingTracker
from libs.market import market_allow_open
from libs.order import OrderBook
from libs.overview import Overview
from libs.runtime import Runtime
from libs.signal import SignalItem, init_signals
from libs.state import State
from libs.watch import DipWatch
from sdk import Client, DealItem, PositionItem
from .open import open_signal
from .positions import manage_positions, t_rounds
def StartZT() -> None:
with Client(config.global_config.qmt_base_url, config.global_config.qmt_token, config.HTTP_TIMEOUT) as client:
state = State(Path(config.global_config.qmt_data_dir) / f'zt_{config.account_config.account_id}_state.db')
run = Runtime(
client=client, global_cfg=config.global_config, account_cfg=config.account_config,
orders=OrderBook('zt'), open_watch=DipWatch(), add_watch=DipWatch(),
profit_tracker=GridTrailingTracker(config.account_config.grid_step_pct),
)
# 先读取成交,再读取持仓,减少成交已入账而快照仍未更新的情况。
deals = client.deals()
portfolio = client.portfolio()
positions = list(portfolio.positions.values())
sync_account_state(state, positions, deals, initialize=not state.state and not state.deals)
run.orders.refresh(client, portfolio.orders)
signals = init_signals(config.global_config, ['dcm'])
Overview(portfolio.assets, positions, config.account_config)
log.info('[ZT] 启动,账户=%s,信号=%d', config.account_config.account_id, len(signals))
while datetime.now().hour < 15:
try:
RunOnce(run, state, signals)
except Exception:
log.exception('[ZT] 本轮失败,下一轮重试')
time.sleep(30 - time.time() % 30)
# 收盘后补记最后一轮成交,不再下单。
deals = client.deals()
sync_account_state(state, list(client.portfolio().positions.values()), deals)
def RunOnce(run: Runtime, state: State, signals: list[SignalItem]) -> None:
now = datetime.now()
if not trading_time(now):
return
deals = run.client.deals()
portfolio = run.client.portfolio()
assets = portfolio.assets
positions = list(portfolio.positions.values())
run.orders.refresh(run.client, portfolio.orders)
sync_account_state(state, positions, deals)
# 收盘集合竞价前停止提交新委托,继续保存成交。
if (now.hour, now.minute) >= (14, 57):
return
rounds = t_rounds(state)
pending = {code for code, item in rounds.items() if item['sold'] > item['bought']}
candidates = {s.code: s for s in signals if s.code not in portfolio.positions
and s.code not in state.state and s.code not in pending}
codes = list(dict.fromkeys(list(state.state) + sorted(pending) + list(candidates)))
ticks = run.client.full_tick(codes) if codes else {}
force = (now.hour, now.minute) >= (14, 50)
available = manage_positions(run, state, ticks, positions, rounds, assets.available, now.date().isoformat(), force)
# 尚未买回时不分走资金;买回与新建仓使用同一份剩余资金。
if not force and not pending and available >= assets.total * run.account_cfg.min_cash_ratio:
if candidates and market_allow_open():
budget = max(0.0, available - assets.total * run.account_cfg.min_cash_ratio)
open_signal(run, ticks, list(candidates.values()), budget)
try:
collector_push(run.account_cfg.account_id, assets, positions)
except Exception:
log.exception('[ZT] 持仓上报失败')
def sync_account_state(
state: State, positions: list[PositionItem], deals: list[DealItem], *, initialize: bool = False,
) -> None:
"""初次持仓作为底仓;后续只按成交减仓,避免延迟快照删除持仓。"""
zt_deals = [d for d in deals if d.get_local_order_id.startswith('zt-')]
if initialize:
if state.state or state.deals:
raise ValueError('ZT 初始化仅允许空状态库,禁止覆盖已有持仓和成交')
# 在同目录临时库完成初始化,再原子替换空库,避免中途退出留下半份快照。
with TemporaryDirectory(dir=state.path.parent, prefix='zt-init-') as directory:
initial = State(Path(directory) / 'state.db')
initial.sync_deals(zt_deals)
initial.sync_state(positions)
# 初始快照已包含历史成交;保留成交计算做 T 欠仓,但不再累加持仓。
with closing(initial._connect()) as db, db:
db.execute('UPDATE deals SET is_arch = 1')
initial.path.replace(state.path)
state.load()
return
state.sync_deals(zt_deals)
# 在外层统一归档:新增成交写入后处理,也重试此前失败的未归档成交。
state.archiving()
# 从刷新后的成交缓存检查失败记录,避免归档未完成时继续交易。
pending = sorted({d['stock_code'] for d in state.deals.values() if d['is_arch'] == 0})
if pending:
raise ValueError(f'ZT 成交归档未完成:{pending},原因见归档日志')
traded = {d['stock_code'] for d in state.deals.values()}
# sync_state 要求完整持仓。保留成交账本中的现有仓位,避免延迟快照删仓;
# 只从账户快照补入没有策略成交历史的股票,避免刚卖完又被旧快照重建。
holdings = [PositionItem(stock_code=code, volume=row['base_qty'] + row['added_qty'])
for code, row in state.state.items()]
holdings.extend(p for p in positions if p.stock_code not in traded and p.stock_code not in state.state)
state.sync_state(holdings)