Files
easy-tdx/tests/unit/test_a_share_extensions.py
T

222 lines
7.5 KiB
Python

"""针对本轮 A 股增强功能的单元测试。"""
import struct
from unittest.mock import patch
from xmtdx import Market, TdxClient
from xmtdx.client import _classify_fund_flow
from xmtdx.models.bar import SecurityBar
from xmtdx.models.quote import SecurityQuote
from xmtdx.models.security import SecurityInfo
from xmtdx.models.stats import HistoricalFundFlow
from xmtdx.models.timeseries import TransactionRecord
@patch("xmtdx.client.TdxConnection")
def test_get_fund_flow_logic(_mock_conn_cls):
"""测试资金流分类计算逻辑。"""
client = TdxClient("127.0.0.1")
# 构造模拟 Tick 数据
mock_recs = [
TransactionRecord(10, 0, 100.0, 101, 0, 0), # super_in (100*101*100 = 101w)
TransactionRecord(10, 1, 10.0, 250, 1, 0), # large_out (10*250*100 = 25w)
TransactionRecord(10, 2, 10.0, 10, 0, 0), # small_in (10*10*100 = 1w)
]
with patch.object(TdxClient, "get_transaction_data", return_value=mock_recs):
flow = client.get_fund_flow(Market.SH, "600000")
assert flow.super_in == 1010000.0
assert flow.large_out == 250000.0
assert flow.small_in == 10000.0
assert flow.main_net_inflow == 1010000.0 - 250000.0
def test_classify_fund_flow_exact_thresholds_use_lower_bucket():
"""恰好命中阈值时,应落入较低一档。"""
flow = _classify_fund_flow([
TransactionRecord(10, 0, 100.0, 100, 0, 0), # 100w -> large
TransactionRecord(10, 1, 100.0, 20, 0, 0), # 20w -> medium
TransactionRecord(10, 2, 100.0, 4, 0, 0), # 4w -> small
])
assert flow.super_in == 0.0
assert flow.large_in == 1000000.0
assert flow.medium_in == 200000.0
assert flow.small_in == 40000.0
@patch("xmtdx.client.TdxConnection")
def test_get_security_list_all_filtering(_mock_conn_cls):
"""测试三市 A 股过滤与行业挂载逻辑。"""
client = TdxClient("127.0.0.1")
# 模拟行业配置 tdxhy.cfg
industry_cfg = b"1|600000|T01|||X01\n0|000001|T02|||X02\n2|830000|T03|||X03"
# 模拟各市场返回
def mock_get_list(market, start):
if market == Market.SH:
return [
SecurityInfo(Market.SH, "600000", "SH_A", 100, 2, 10.0),
SecurityInfo(Market.SH, "999999", "INDEX", 100, 2, 3000.0), # 应被过滤
]
if market == Market.SZ:
return [SecurityInfo(Market.SZ, "000001", "SZ_A", 100, 2, 10.0)]
if market == Market.BJ:
return [SecurityInfo(Market.BJ, "830000", "BJ_A", 100, 2, 10.0)]
return []
with patch.object(TdxClient, "get_report_file", return_value=industry_cfg), \
patch.object(TdxClient, "get_security_count", return_value=1), \
patch.object(TdxClient, "get_security_list", side_effect=mock_get_list):
all_stocks = client.get_security_list_all()
# 预期只有 SH 和 SZ,BJ 已在扫描中降级移除
assert len(all_stocks) == 2
codes = [s.code for s in all_stocks]
assert "600000" in codes
assert "000001" in codes
assert "830000" not in codes
s0 = next(s for s in all_stocks if s.code == "600000")
assert s0.industry_tdx == "T01"
@patch("xmtdx.client.TdxConnection")
def test_get_market_stat_mapping(_mock_conn_cls):
"""测试市场统计字段映射。"""
client = TdxClient("127.0.0.1")
mock_quote = SecurityQuote(
Market.SH, "880005",
price=3000.0, # up
pre_close=2000.0, # down
open=0,
high=5500.0, # total
low=500.0, # neutral (low=500 -> neutral_count=500)
vol=1000000.0, cur_vol=0, amount=50000000.0,
s_vol=0, b_vol=0, active1=0, active2=0,
bid1=0, bid_vol1=0, bid2=0, bid_vol2=0, bid3=0, bid_vol3=0,
bid4=0, bid_vol4=0, bid5=0, bid_vol5=0,
ask1=0, ask_vol1=0, ask2=0, ask_vol2=0, ask3=0, ask_vol3=0,
ask4=0, ask_vol4=0, ask5=0, ask_vol5=0,
rise_speed=0, limit_up=0, limit_down=0
)
with patch.object(TdxClient, "get_security_quotes", return_value=[mock_quote]):
stat = client.get_market_stat()
assert stat.up_count == 3000
assert stat.down_count == 2000
assert stat.neutral_count == 500
assert stat.total_count == 5500
def test_get_history_fund_flow_parsing():
"""测试历史资金流序列解析逻辑。"""
from xmtdx.commands.fund_flow import GetHistoryFundFlowCmd
# 模拟 Category 22 响应 (Header 9 + Count 2 + Body 36)
body = bytearray(9)
body.extend(struct.pack("<H", 1)) # 1 record
# Record: Date(I) + 8 * custom_float(uint32)
# 2025-01-08
date = 20250108
# 模拟 8 个流向金额
record = struct.pack("<IIIIIIIII", date, 100, 200, 300, 400, 500, 600, 700, 800)
body.extend(record)
cmd = GetHistoryFundFlowCmd(Market.SH, "600000", 0, 1)
res = cmd.parse_response(bytes(body))
assert len(res) == 1
assert res[0].year == 2025
assert res[0].month == 1
assert res[0].day == 8
@patch("xmtdx.client.TdxConnection")
def test_get_history_fund_flow_fallback(_mock_conn_cls):
"""Category 22 空回包时,自动回退到历史逐笔重算。"""
client = TdxClient("127.0.0.1")
bars = [
SecurityBar(10, 10, 10, 10, 0, 0, 2025, 1, 8, 15, 0),
SecurityBar(10, 10, 10, 10, 0, 0, 2025, 1, 9, 15, 0),
]
txn_map = {
20250108: [
TransactionRecord(10, 0, 100.0, 101, 0, 0),
TransactionRecord(10, 1, 10.0, 250, 1, 0),
],
20250109: [
TransactionRecord(10, 0, 10.0, 10, 0, 0),
],
}
def mock_history_txn(_market, _code, date, start, count):
if start > 0:
return []
return txn_map[date]
with patch.object(TdxClient, "_execute", return_value=[]), patch.object(
TdxClient, "get_security_bars", return_value=bars
), patch.object(
TdxClient, "get_history_transaction_data", side_effect=mock_history_txn
):
flows = client.get_history_fund_flow(Market.SH, "600000", 0, 2)
assert flows == [
HistoricalFundFlow(
year=2025,
month=1,
day=8,
super_in=1010000.0,
super_out=0.0,
large_in=0.0,
large_out=250000.0,
medium_in=0.0,
medium_out=0.0,
small_in=0.0,
small_out=0.0,
),
HistoricalFundFlow(
year=2025,
month=1,
day=9,
super_in=0.0,
super_out=0.0,
large_in=0.0,
large_out=0.0,
medium_in=0.0,
medium_out=0.0,
small_in=10000.0,
small_out=0.0,
),
]
@patch("xmtdx.client.TdxConnection")
def test_get_price_limits_uses_listing_window(_mock_conn_cls):
"""client.get_price_limits 应结合日 K 条数判断上市初期限价窗口。"""
client = TdxClient("127.0.0.1")
with patch.object(
TdxClient,
"get_security_bars",
return_value=[SecurityBar(0, 0, 0, 0, 0, 0, 2025, 1, 1, 15, 0)] * 5,
):
assert client.get_price_limits(Market.SH, "600001", "主板新股", 10.0) == (
None,
None,
)
with patch.object(
TdxClient,
"get_security_bars",
return_value=[SecurityBar(0, 0, 0, 0, 0, 0, 2025, 1, 1, 15, 0)] * 6,
):
assert client.get_price_limits(Market.SH, "600001", "主板老股", 10.0) == (
11.0,
9.0,
)