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fix: K线响应截断容错 + 一键寻优并发默认8进程

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- security_bars: parse_response 遇末尾残缺记录时丢弃并返回前 N-1 条，
  避免 TDX 服务端截断响应导致整页 500（如 000408 count=800 日线）
- OptimizeView: 一键寻优并发默认 8 进程，用户选择持久化到 localStorage

bump version to 1.18.3
This commit is contained in:
GitHub
2026-07-06 13:23:37 +08:00
parent c901d198ca
commit e3e8dd492e
5 changed files with 127 additions and 23 deletions
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src/easy_tdx/commands/security_bars.py
+52 -18
View File
@@ -1,15 +1,19 @@
"""获取 K 线数据命令（支持全部周期）。"""
import logging
import struct
from .._binary import unpack_from
from ..codec.datetime_ import get_datetime
from ..codec.price import get_price
from ..codec.volume import get_volume
from ..exceptions import TdxDecodeError
from ..models.bar import SecurityBar
from ..models.enums import KlineCategory, Market
from .base import BaseCommand
_log = logging.getLogger(__name__)
class GetSecurityBarsCmd(BaseCommand[list[SecurityBar]]):
"""获取指定股票的 K 线数据。
@@ -63,17 +67,33 @@ class GetSecurityBarsCmd(BaseCommand[list[SecurityBar]]):
pre_diff_base = 0
cat = int(self.category)
for _ in range(ret_count):
for i in range(ret_count):
record_start = pos
year, month, day, hour, minute, pos = get_datetime(cat, body, pos)
try:
year, month, day, hour, minute, pos = get_datetime(cat, body, pos)
open_diff, pos = get_price(body, pos)
close_diff, pos = get_price(body, pos)
high_diff, pos = get_price(body, pos)
low_diff, pos = get_price(body, pos)
open_diff, pos = get_price(body, pos)
close_diff, pos = get_price(body, pos)
high_diff, pos = get_price(body, pos)
low_diff, pos = get_price(body, pos)
vol, pos = get_volume(body, pos)
amount, pos = get_volume(body, pos)
vol, pos = get_volume(body, pos)
amount, pos = get_volume(body, pos)
except TdxDecodeError as e:
# TDX 服务端偶发截断：响应头声称有 N 条，但 body 末尾若干条
# 被切掉（停牌/退市/分页边界常见）。丢弃残缺的末条，保留已
# 成功解析的前若干条，避免一条坏数据让整页 500。
if bars:
_log.warning(
"K线响应在第 %d/%d 条处被截断（%s），已丢弃末尾残缺记录，"
"返回前 %d 条",
i + 1,
ret_count,
e,
len(bars),
)
return bars
raise
# 差分还原（与 pytdx 完全一致）
open_abs = open_diff + pre_diff_base
@@ -116,21 +136,35 @@ class GetIndexBarsCmd(GetSecurityBarsCmd):
pre_diff_base = 0
cat = int(self.category)
for _ in range(ret_count):
for i in range(ret_count):
record_start = pos
year, month, day, hour, minute, pos = get_datetime(cat, body, pos)
try:
year, month, day, hour, minute, pos = get_datetime(cat, body, pos)
open_diff, pos = get_price(body, pos)
close_diff, pos = get_price(body, pos)
high_diff, pos = get_price(body, pos)
low_diff, pos = get_price(body, pos)
open_diff, pos = get_price(body, pos)
close_diff, pos = get_price(body, pos)
high_diff, pos = get_price(body, pos)
low_diff, pos = get_price(body, pos)
vol, pos = get_volume(body, pos)
amount, pos = get_volume(body, pos)
vol, pos = get_volume(body, pos)
amount, pos = get_volume(body, pos)
# 指数记录额外 4 字节：上涨家数 + 下跌家数（各 uint16 LE）
pos += 4
# 指数记录额外 4 字节：上涨家数 + 下跌家数（各 uint16 LE）
pos += 4
except TdxDecodeError as e:
if bars:
_log.warning(
"指数K线响应在第 %d/%d 条处被截断（%s），已丢弃末尾残缺记录，"
"返回前 %d 条",
i + 1,
ret_count,
e,
len(bars),
)
return bars
raise
# 差分还原（与 pytdx 完全一致）
open_abs = open_diff + pre_diff_base
close_abs = open_abs + close_diff
high_abs = open_abs + high_diff