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chanlun.rs/chanlun-py/tests/test_all.py
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完善 测试类
2026-05-29 23:26:15 +08:00
#!/usr/bin/env python3
"""chanlun PyO3 综合测试 — 所有测试类统一入口。
使用了 pyo3_test_helpers 中的泛化 Mixin:
- RcIdentityMixin: Rc/Arc 指针身份一致性
- PyO3SubclassMixin: PyO3 子类化兼容性
- ApiConsistencyMixin: chan/chanlun API 描述符类型一致性
- assert_type_shape: 返回值类型形状验证
运行方式:
python -m pytest tests/test_all.py -v
python tests/test_all.py # 全部测试
python tests/test_all.py Test观察者子类化 # 指定测试类
python tests/test_all.py Test观察者子类化.test_subclass_basic # 单个测试
"""
import unittest
import sys
import os
import struct
import tempfile
import math
from datetime import datetime
sys.path.insert(0, os.path.join(os.path.dirname(os.path.abspath(__file__)), "..", "tests"))
import chanlun
import chanlun.chan # noqa # 用于 API 一致性测试
from helpers import ApiConsistencyMixin, RcIdentityMixin, PyO3SubclassMixin, assert_type_shape
# ---- 路径 ----
_PROJECT_ROOT = os.environ.get(
"CHANLUN_PROJECT_ROOT",
os.path.dirname(os.path.dirname(os.path.dirname(os.path.abspath(__file__)))),
)
NB_PATH = os.path.join(os.path.dirname(os.path.abspath(__file__)), "btcusd-300-1761327300-1776327900.nb")
_PY_REF_DIR = os.path.join(_PROJECT_ROOT, "Py_btcusd:300_1761327300_1776327900")
_RUST_REF_DIR = os.path.join(_PROJECT_ROOT, "chanlun", "Rust_btcusd:300_1761327300_1776327900")
# ---- 辅助函数 ----
def read_nb_bars(path, max_bars=None):
"""从 .nb 文件读取 K 线数据 (48 字节: 6 × f64 大端)."""
bars = []
with open(path, "rb") as f:
i = 0
while True:
data = f.read(48)
if not data:
break
ts, o, h, l, c, v = struct.unpack(">6d", data)
bars.append((int(ts), o, h, l, c, v))
i += 1
if max_bars and i >= max_bars:
break
return bars
def _has_nb():
"""检查 .nb 数据文件是否存在."""
return os.path.isfile(NB_PATH)
def create_observer(symbol="btcusd", period=14400, n_bars=500):
"""创建观察者并喂入模拟K线数据."""
cfg = chanlun.缠论配置()
obs = chanlun.观察者(symbol, period, cfg)
for i in range(n_bars):
trend = i * 3
wave = math.sin(i * 0.05) * 2000
mid = 68000.0 + trend + wave
high = mid + abs(math.cos(i * 0.3)) * 400 + 100
low = mid - abs(math.sin(i * 0.5)) * 400 - 100
k = chanlun.K线(
标识=symbol,
周期=period,
时间戳=1771675200 + i * period,
开盘价=mid - 50,
高=high,
低=low,
收盘价=mid + 50,
成交量=abs(math.sin(i)) * 1000,
)
obs.增加原始K线(k)
return obs
def _load_observer(max_bars=None):
"""从 .nb 文件加载数据并创建观察者."""
cfg = chanlun.缠论配置()
obs = chanlun.观察者("btcusd", 300, cfg)
bars = read_nb_bars(NB_PATH, max_bars=max_bars)
for i, (ts, o, h, l, c, v) in enumerate(bars):
k = chanlun.K线.创建普K(f"k{i}", ts, o, h, l, c, v, i, 300)
obs.增加原始K线(k)
return obs
# ============================================================
# 观察者 子类化 / 方法重写 测试
# ============================================================
class Test观察者子类化(PyO3SubclassMixin, unittest.TestCase):
"""观察者 子类化/方法重写 测试 — 使用 PyO3SubclassMixin 泛化基类."""
base_class = chanlun.观察者
constructor_args = ("btcusd", 300)
constructor_kwargs = {}
sequence_getter_names = [
"普通K线序列",
"缠论K线序列",
"分型序列",
"笔序列",
"笔_中枢序列",
"线段序列",
"中枢序列",
"扩展线段序列",
"扩展中枢序列",
"扩展线段序列_线段",
"扩展中枢序列_线段",
"线段_线段序列",
"线段_中枢序列",
"扩展线段序列_扩展线段",
"扩展中枢序列_扩展线段",
]
feed_method_name = "增加原始K线"
# ---- Mixin hooks: 使用预加载数据，避免每个测试重复读取 .nb ----
@staticmethod
def make_data_item():
return chanlun.K线.创建普K("test", 1761327300, 100.0, 105.0, 99.0, 103.0, 1000.0, 0, 300)
@classmethod
def make_target_with_data(cls):
obs = chanlun.观察者("btcusd", 300)
for i, (ts, o, h, l, c, v) in enumerate(cls._bars):
k = chanlun.K线.创建普K(f"base_{i}", ts, o, h, l, c, v, i, 300)
obs.增加原始K线(k)
return obs
@classmethod
def make_sub_with_data(cls):
class Sub(chanlun.观察者):
pass
obs = Sub("btcusd", 300)
for i, (ts, o, h, l, c, v) in enumerate(cls._bars):
k = chanlun.K线.创建普K(f"sub_{i}", ts, o, h, l, c, v, i, 300)
obs.增加原始K线(k)
return obs
@classmethod
def setUpClass(cls):
"""预加载 .nb 数据和预暖观察者，所有测试共享."""
if not _has_nb():
return # setUPClass 中不能 skip，各测试自行检查
cls._bars = read_nb_bars(NB_PATH, max_bars=500)
cls._base_obs = chanlun.观察者("btcusd", 300)
for i, (ts, o, h, l, c, v) in enumerate(cls._bars):
k = chanlun.K线.创建普K(f"b_{i}", ts, o, h, l, c, v, i, 300)
cls._base_obs.增加原始K线(k)
def _require_bars(self):
if not hasattr(type(self), "_bars"):
self.skipTest("需要 .nb 数据文件")
# ---- 以下为 chanlun 专项测试 ----
def test_subclass_new_pass_config(self):
"""__new__ 透传 配置 参数到父类."""
cfg = chanlun.缠论配置()
class Sub(chanlun.观察者):
def __new__(cls, 符号, 周期, 配置=None, *, tag="", **kwargs):
return super().__new__(cls, 符号, 周期, 配置=配置)
def __init__(self, 符号, 周期, 配置=None, *, tag="", **kwargs):
self.tag = tag
obs = Sub("btcusd", 300, cfg, tag="test-tag")
self.assertEqual(obs.标识, "btcusd:300")
self.assertEqual(obs.tag, "test-tag")
def test_override_method_super_call(self):
"""重写 增加原始K线，super() 调用父类，全线管线运行."""
self._require_bars()
class Sub(chanlun.观察者):
def __init__(self, 符号, 周期):
self.intercept_count = 0
self.intercept_timestamps = []
def 增加原始K线(self, 普K):
self.intercept_count += 1
self.intercept_timestamps.append(普K.时间戳)
super().增加原始K线(普K)
sub_obs = Sub("btcusd", 300)
for i, (ts, o, h, l, c, v) in enumerate(self._bars):
k = chanlun.K线.创建普K(f"s_{i}", ts, o, h, l, c, v, i, 300)
sub_obs.增加原始K线(k)
self.assertEqual(sub_obs.intercept_count, len(self._bars))
self.assertEqual(len(sub_obs.intercept_timestamps), len(self._bars))
for attr in ["普通K线序列", "缠论K线序列", "分型序列", "笔序列", "线段序列", "中枢序列"]:
base_len = len(getattr(self._base_obs, attr))
sub_len = len(getattr(sub_obs, attr))
self.assertEqual(base_len, sub_len, f"{attr}: base={base_len}, sub={sub_len}")
for j, (bp, sp) in enumerate(zip(self._base_obs.笔序列, sub_obs.笔序列)):
self.assertEqual(bp.文.中.时间戳, sp.文.中.时间戳, f"笔[{j}] 时间戳不一致")
def test_override_getter(self):
"""重写 @property getter，super() 取基类值."""
class Sub(chanlun.观察者):
@property
def 标识(self):
return f"[MOCKED] {super().标识}"
obs = Sub("btcusd", 300)
self.assertEqual(obs.标识, "[MOCKED] btcusd:300")
self.assertEqual(obs.周期, 300)
def test_override_str_repr(self):
"""重写 __str__ / __repr__."""
class Sub(chanlun.观察者):
def __str__(self):
return f"Custom({self.标识})"
def __repr__(self):
return self.__str__()
obs = Sub("btcusd", 300)
self.assertEqual(str(obs), "Custom(btcusd:300)")
self.assertEqual(repr(obs), "Custom(btcusd:300)")
def test_multi_level_inheritance(self):
"""多层继承，MRO 调用链完整."""
k = self.make_data_item()
class Level1(chanlun.观察者):
def 增加原始K线(self, 普K):
self.l1_log = getattr(self, "l1_log", [])
self.l1_log.append("L1")
super().增加原始K线(普K)
class Level2(Level1):
def 增加原始K线(self, 普K):
self.l2_log = getattr(self, "l2_log", [])
self.l2_log.append("L2")
super().增加原始K线(普K)
obs = Level2("btcusd", 300)
obs.增加原始K线(k)
self.assertEqual(obs.l2_log, ["L2"])
self.assertEqual(obs.l1_log, ["L1"])
self.assertEqual(len(obs.普通K线序列), 1)
def test_unoverridden_method_inherited(self):
"""未重写的方法从基类直接继承."""
k = self.make_data_item()
class Sub(chanlun.观察者):
pass
obs = Sub("btcusd", 120)
obs.增加原始K线(k)
self.assertEqual(obs.标识, "btcusd:120")
self.assertEqual(obs.周期, 120)
self.assertEqual(len(obs.普通K线序列), 1)
self.assertEqual(len(obs.缠论K线序列), 1)
obs.静态重新分析()
def test_override_reset(self):
"""重写 重置基础序列，子类状态也重置."""
k = self.make_data_item()
class Sub(chanlun.观察者):
def __init__(self, 符号, 周期):
self.my_log = []
def 重置基础序列(self):
self.my_log.clear()
super().重置基础序列()
obs = Sub("btcusd", 300)
obs.增加原始K线(k)
obs.my_log.append("test")
self.assertEqual(len(obs.普通K线序列), 1)
obs.重置基础序列()
self.assertEqual(len(obs.普通K线序列), 0)
self.assertEqual(obs.my_log, [])
# --- Property getter 逐一覆盖 ---
def test_override_getter_符号(self):
class Sub(chanlun.观察者):
@property
def 符号(self):
return f"[WRAPPED] {super().符号}"
obs = Sub("btcusd", 300)
self.assertEqual(obs.符号, "[WRAPPED] btcusd")
def test_override_getter_周期(self):
class Sub(chanlun.观察者):
@property
def 周期(self):
return super().周期 * 60
obs = Sub("btcusd", 5)
self.assertEqual(obs.周期, 300)
def test_override_getter_配置(self):
class Sub(chanlun.观察者):
@property
def 配置(self):
self._cfg_accessed = True
return super().配置
obs = Sub("btcusd", 300)
cfg = obs.配置
self.assertIsNotNone(cfg)
self.assertTrue(obs._cfg_accessed)
def test_override_getter_当前K线(self):
k = self.make_data_item()
class Sub(chanlun.观察者):
def __init__(self, 符号, 周期):
self._cur_k_accessed = False
@property
def 当前K线(self):
self._cur_k_accessed = True
return super().当前K线
obs = Sub("btcusd", 300)
obs.增加原始K线(k)
cur = obs.当前K线
self.assertIsNotNone(cur)
self.assertTrue(obs._cur_k_accessed)
def test_override_getter_当前缠K(self):
k = self.make_data_item()
class Sub(chanlun.观察者):
def __init__(self, 符号, 周期):
self._cur_ck_accessed = False
@property
def 当前缠K(self):
self._cur_ck_accessed = True
return super().当前缠K
obs = Sub("btcusd", 300)
obs.增加原始K线(k)
cur = obs.当前缠K
self.assertIsNotNone(cur)
self.assertTrue(obs._cur_ck_accessed)
def test_override_getter_观察员(self):
class Sub(chanlun.观察者):
@property
def 观察员(self):
self._obs_accessed = True
return self
obs = Sub("btcusd", 300)
self.assertIs(obs.观察员, obs)
self.assertTrue(obs._obs_accessed)
def test_override_sequence_getter(self):
k = self.make_data_item()
class Sub(chanlun.观察者):
def __init__(self, 符号, 周期):
self._seq_accessed = set()
@property
def 普通K线序列(self):
self._seq_accessed.add("普通K线序列")
return super().普通K线序列
@property
def 缠论K线序列(self):
self._seq_accessed.add("缠论K线序列")
return super().缠论K线序列
@property
def 笔序列(self):
self._seq_accessed.add("笔序列")
return super().笔序列
@property
def 线段序列(self):
self._seq_accessed.add("线段序列")
return super().线段序列
obs = Sub("btcusd", 300)
obs.增加原始K线(k)
self.assertEqual(len(obs.普通K线序列), 1)
self.assertIn("普通K线序列", obs._seq_accessed)
self.assertEqual(len(obs.缠论K线序列), 1)
self.assertIn("缠论K线序列", obs._seq_accessed)
self.assertIsInstance(obs.笔序列, list)
self.assertIn("笔序列", obs._seq_accessed)
self.assertIsInstance(obs.线段序列, list)
self.assertIn("线段序列", obs._seq_accessed)
def test_override_all_sequence_getters(self):
k = self.make_data_item()
all_seqs = [
"普通K线序列",
"缠论K线序列",
"分型序列",
"笔序列",
"笔_中枢序列",
"线段序列",
"中枢序列",
"扩展线段序列",
"扩展中枢序列",
"扩展线段序列_线段",
"扩展中枢序列_线段",
"线段_线段序列",
"线段_中枢序列",
"扩展线段序列_扩展线段",
"扩展中枢序列_扩展线段",
]
def _make_getter(name):
@property
def getter(self, _name=name):
self._all_seq_accessed.add(_name)
for cls in type(self).__mro__[1:]:
if hasattr(cls, _name) and isinstance(getattr(cls, _name, None), property):
return getattr(cls, _name).fget(self)
return []
return getter
class Sub(chanlun.观察者):
def __init__(self, 符号, 周期):
self._all_seq_accessed = set()
for seq_name in all_seqs:
setattr(Sub, seq_name, _make_getter(seq_name))
obs = Sub("btcusd", 300)
obs.增加原始K线(k)
for seq_name in all_seqs:
seq = getattr(obs, seq_name)
self.assertIn(seq_name, obs._all_seq_accessed, f"{seq_name} 未被拦截")
self.assertIsInstance(seq, list, f"{seq_name} 不是 list，而是 {type(seq)}")
# --- 方法重写（使用预加载数据） ---
def test_override_加载保存读取重分析(self):
"""串行验证 加载本地数据 / 保存数据 / 读取数据文件 / 静态重新分析 四个重写."""
self._require_bars()
class Sub(chanlun.观察者):
def __init__(self, 符号, 周期, 配置=None):
self._loaded = False
self._load_count = 0
self._reanalyzed = 0
self._saved = False
self._save_root = None
self._reload = 0
super().__init__(符号, 周期, 配置)
def 测试_保存数据(self, root=None):
self._saved = True
self._save_root = root
super().测试_保存数据(root)
def 静态重新分析(self):
self._reanalyzed += 1
super().静态重新分析()
def 加载本地数据(self, 文件路径):
self._loaded = True
self._load_count += 1
super().加载本地数据(文件路径)
def 重置基础序列(self):
self._reload += 1
super().重置基础序列()
@classmethod
def 读取数据文件(cls, 文件路径, 配置=None):
obs = super().读取数据文件(文件路径, 配置)
obs._custom_classmethod_flag = True
return obs
# 4. 读取数据文件（classmethod 重写
a = datetime.now()
obs = Sub.读取数据文件(NB_PATH)
self.assertIsInstance(obs, Sub)
self.assertTrue(obs._custom_classmethod_flag)
self.assertGreater(len(obs.普通K线序列), 0)
b = datetime.now()
print("读取数据文件 用时:", b - a)
# 1. 加载本地数据
obs.重置基础序列()
obs.加载本地数据(NB_PATH)
self.assertTrue(obs._loaded)
self.assertEqual(obs._load_count, 1)
self.assertGreater(len(obs.普通K线序列), 0)
c = datetime.now()
print("加载本地数据 用时:", c - b)
# 2. 静态重新分析（复用已加载数据的 obs）
obs.重置基础序列()
obs.加载本地数据(NB_PATH)
obs.静态重新分析()
self.assertEqual(obs._reanalyzed, 1)
self.assertGreaterEqual(len(obs.笔序列), 0)
d = datetime.now()
print("静态重新分析 用时:", d - c)
# 3. 保存数据
obs.重置基础序列()
obs.增加原始K线(self.make_data_item())
with tempfile.TemporaryDirectory() as tmpdir:
obs.测试_保存数据(tmpdir)
self.assertTrue(obs._saved)
self.assertEqual(obs._save_root, tmpdir)
# 5. 重置次数
self.assertEqual(obs._reload, 3)
e = datetime.now()
print("保存数据 用时:", e - d)
def test_override_completely_no_super(self):
k = self.make_data_item()
class Sub(chanlun.观察者):
def 增加原始K线(self, 普K):
self._custom = getattr(self, "_custom", [])
self._custom.append(普K.时间戳)
obs = Sub("btcusd", 300)
obs.增加原始K线(k)
self.assertEqual(obs._custom, [1761327300])
self.assertEqual(len(obs.普通K线序列), 0)
def test_override_identical_subclass(self):
self._require_bars()
class Sub(chanlun.观察者):
pass
sub = Sub("btcusd", 300)
for i, (ts, o, h, l, c, v) in enumerate(self._bars):
sk = chanlun.K线.创建普K(f"s_{i}", ts, o, h, l, c, v, i, 300)
sub.增加原始K线(sk)
for attr in ["普通K线序列", "笔序列", "线段序列", "中枢序列"]:
base_len = len(getattr(self._base_obs, attr))
sub_len = len(getattr(sub, attr))
self.assertEqual(base_len, sub_len, f"{attr}: base={base_len}, sub={sub_len}")
def test_override_three_level_mixed(self):
k = self.make_data_item()
class L1(chanlun.观察者):
def __init__(self, 符号, 周期):
self._l1_feed = 0
def 增加原始K线(self, 普K):
self._l1_feed += 1
super().增加原始K线(普K)
class L2(L1):
def __init__(self, 符号, 周期):
super().__init__(符号, 周期)
self._l2_标识 = 0
@property
def 标识(self):
self._l2_标识 += 1
return f"[L2] {super().标识}"
class L3(L2):
def __init__(self, 符号, 周期):
super().__init__(符号, 周期)
self._l3_reset = 0
def 重置基础序列(self):
self._l3_reset += 1
super().重置基础序列()
obs = L3("btcusd", 300)
obs.增加原始K线(k)
self.assertEqual(obs._l1_feed, 1)
self.assertEqual(obs.标识, "[L2] btcusd:300")
self.assertEqual(obs._l2_标识, 1)
obs.重置基础序列()
self.assertEqual(obs._l3_reset, 1)
self.assertEqual(len(obs.普通K线序列), 0)
def test_override_cross_method_dispatch(self):
k = self.make_data_item()
class Sub(chanlun.观察者):
def __init__(self, 符号, 周期):
self._feed_called = False
self._reset_called = False
def 增加原始K线(self, 普K):
self._feed_called = True
super().增加原始K线(普K)
def 重置基础序列(self):
self._reset_called = True
super().重置基础序列()
def compound_operation(self, 普K):
self.增加原始K线(普K)
self.重置基础序列()
obs = Sub("btcusd", 300)
obs.compound_operation(k)
self.assertTrue(obs._feed_called)
self.assertTrue(obs._reset_called)
self.assertEqual(len(obs.普通K线序列), 0)
# ============================================================
# K线.截取 测试
# ============================================================
class TestK线截取(unittest.TestCase):
"""K线.截取 测试."""
def test_jiequ_basic(self):
k1 = chanlun.K线.创建普K("k1", 1000000000, 100.0, 105.0, 98.0, 102.0, 1000.0, 0, 300)
k2 = chanlun.K线.创建普K("k2", 1000000060, 102.0, 108.0, 101.0, 106.0, 1200.0, 1, 300)
k3 = chanlun.K线.创建普K("k3", 1000000120, 106.0, 110.0, 104.0, 108.0, 900.0, 2, 300)
k4 = chanlun.K线.创建普K("k4", 1000000180, 108.0, 112.0, 107.0, 110.0, 1100.0, 3, 300)
ks = [k1, k2, k3, k4]
r = chanlun.K线.截取(ks, k2, k4)
self.assertEqual(len(r), 3)
self.assertEqual(r[0].时间戳, k2.时间戳)
self.assertEqual(r[-1].时间戳, k4.时间戳)
r = chanlun.K线.截取(ks, k1, k4)
self.assertEqual(len(r), 4)
r = chanlun.K线.截取(ks, k3, k3)
self.assertEqual(len(r), 1)
self.assertEqual(r[0].时间戳, k3.时间戳)
def test_jiequ_error(self):
k1 = chanlun.K线.创建普K("k1", 1000000000, 100.0, 105.0, 98.0, 102.0, 1000.0, 0, 300)
k2 = chanlun.K线.创建普K("k2", 1000000060, 102.0, 108.0, 101.0, 106.0, 1200.0, 1, 300)
k3 = chanlun.K线.创建普K("k3", 1000000120, 106.0, 110.0, 104.0, 108.0, 900.0, 2, 300)
ks = [k1, k2, k3]
with self.assertRaises(ValueError):
chanlun.K线.截取([], k1, k1)
kx = chanlun.K线.创建普K("kx", 9999999999, 1.0, 1.0, 1.0, 1.0, 1.0, 99, 300)
with self.assertRaises(ValueError):
chanlun.K线.截取(ks, kx, k3)
with self.assertRaises(ValueError):
chanlun.K线.截取(ks, k3, k1)
@unittest.skipUnless(_has_nb(), "需要 .nb 数据文件")
def test_jiequ_from_observer(self):
cfg = chanlun.缠论配置()
obs = chanlun.观察者.读取数据文件(NB_PATH, cfg)
self.assertGreater(len(obs.笔序列), 0, "笔序列为空，数据可能不够")
bi = obs.笔序列[0]
pk_seq = bi.获取普K序列(obs)
self.assertGreater(len(pk_seq), 0)
r = chanlun.K线.截取(obs.普通K线序列, bi.文.中.标的K线, bi.武.中.标的K线)
self.assertGreater(len(r), 0)
self.assertEqual(r[0].时间戳, bi.文.中.标的K线.时间戳)
self.assertEqual(r[-1].时间戳, bi.武.中.标的K线.时间戳)
mid = len(pk_seq) // 2
if mid > 0:
r = chanlun.K线.截取(pk_seq, pk_seq[0], pk_seq[mid])
self.assertEqual(len(r), mid + 1)
self.assertEqual(r[0].时间戳, pk_seq[0].时间戳)
self.assertEqual(r[-1].时间戳, pk_seq[mid].时间戳)
@unittest.skipUnless(_has_nb(), "需要 .nb 数据文件")
def test_jiequ_multi_bi(self):
cfg = chanlun.缠论配置()
obs = chanlun.观察者.读取数据文件(NB_PATH, cfg)
n_checked = 0
for i, bi in enumerate(obs.笔序列[:10]):
pk_seq = bi.获取普K序列(obs)
if len(pk_seq) < 2:
continue
r = chanlun.K线.截取(pk_seq, pk_seq[0], pk_seq[-1])
self.assertEqual(len(r), len(pk_seq), f"笔[{i}] 截取长度不一致: {len(r)} vs {len(pk_seq)}")
n_checked += 1
self.assertGreater(n_checked, 0)
# ============================================================
# Rc 指针身份 / list.index 测试
# ============================================================
class TestRc身份列表索引(unittest.TestCase):
"""Rc 指针身份 / list.index 测试."""
def setUp(self):
if not _has_nb():
self.skipTest("需要 .nb 数据文件")
self.obs = _load_observer()
def test_same_seq_index(self):
obs = self.obs
fx_list = obs.分型序列
if len(fx_list) >= 2:
self.assertEqual(fx_list.index(fx_list[0]), 0)
self.assertEqual(fx_list.index(fx_list[1]), 1)
ck_list = obs.缠论K线序列
if len(ck_list) >= 2:
self.assertEqual(ck_list.index(ck_list[0]), 0)
self.assertEqual(ck_list.index(ck_list[-1]), len(ck_list) - 1)
bi_list = obs.笔序列
if len(bi_list) >= 2:
self.assertEqual(bi_list.index(bi_list[0]), 0)
self.assertEqual(bi_list.index(bi_list[-1]), len(bi_list) - 1)
if len(obs.线段序列) > 0:
for 段 in obs.线段序列:
笔列表 = 段.笔序列
if len(笔列表) >= 2:
self.assertEqual(笔列表.index(笔列表[0]), 0)
self.assertEqual(笔列表.index(笔列表[-1]), len(笔列表) - 1)
break
zs_list = obs.中枢序列
if len(zs_list) >= 2:
self.assertEqual(zs_list.index(zs_list[0]), 0)
self.assertEqual(zs_list.index(zs_list[-1]), len(zs_list) - 1)
def test_cross_seq_index(self):
obs = self.obs
n_checked = 0
for 段 in obs.线段序列:
zs_list = 段.合_中枢序列
if len(zs_list) == 0:
continue
zs = zs_list[-1]
笔列表 = 段.笔序列
for j, elem in enumerate(zs.基础序列):
idx = 笔列表.index(elem)
self.assertGreaterEqual(idx, 0)
self.assertEqual(笔列表[idx], elem)
n_checked += 1
break
self.assertGreaterEqual(n_checked, 3, f"应至少检查3个中枢元素，实际 {n_checked}")
def test_zhaofenxing_cross_ref(self):
obs = self.obs
fx_list = obs.分型序列
if len(fx_list) >= 2 and len(obs.笔序列) > 0:
bi = obs.笔序列[-1]
try:
idx = fx_list.index(bi.文)
self.assertGreaterEqual(idx, 0)
except ValueError:
pass
def test_user_pattern(self):
obs = self.obs
n_segments_with_zs = 0
for 段 in obs.线段序列:
zs_list = 段.合_中枢序列
if len(zs_list) == 0:
continue
n_segments_with_zs += 1
zs = zs_list[-1]
笔列表 = 段.笔序列
idx = 笔列表.index(zs.基础序列[0])
found = False
for bi in reversed(笔列表[:idx]):
if bi.方向 == zs.基础序列[0].方向:
found = True
break
self.assertGreater(n_segments_with_zs, 0, "应至少有一个段包含中枢")
def test_tongji_macd_behavior_types(self):
obs = _load_observer(max_bars=5000)
if len(obs.笔序列) == 0:
self.skipTest("无笔")
笔 = obs.笔序列[-1]
普K序列 = 笔.获取普K序列(obs)
if len(普K序列) < 2:
self.skipTest("K线不够")
result = chanlun.虚线.统计MACD行为(普K序列, 8, 3)
# 使用泛化工具验证类型形状
assert_type_shape(
result,
{
"DIF上穿0": int,
"DIF下穿0": int,
"DEA上穿0": int,
"DEA下穿0": int,
"金叉次数": int,
"死叉次数": int,
"密集交叉区域": [(int, int, int)],
},
)
def test_xiangduifangxiang_methods(self):
fx = chanlun.相对方向.分析(2.0, 0.5, 1.0, 0.8)
assert_type_shape(fx.是否向上, callable)
assert_type_shape(fx.是否向下, callable)
assert_type_shape(fx.是否包含, callable)
assert_type_shape(fx.是否缺口, callable)
assert_type_shape(fx.是否衔接, callable)
self.assertIsInstance(fx.是否向上(), bool)
self.assertIsInstance(fx.是否向下(), bool)
# ============================================================
# Rc 身份测试 — 使用 RcIdentityMixin
# ============================================================
class _Base身份:
"""身份测试基类：通过 setUpClass 预缓存 target 供 Mixin 使用."""
@classmethod
def setUpClass(cls):
cls._cached_target = cls.target_factory()
class Test缠K身份(_Base身份, RcIdentityMixin, unittest.TestCase):
"""缠论K线: 从序列、分型、笔端点、中枢等不同路径访问."""
@staticmethod
def target_factory():
return create_observer()
sequence_getters = {
"缠论K线序列": lambda t: t.缠论K线序列,
}
stable_getters = {
"分型[0].中": lambda t: t.分型序列[0].中 if t.分型序列 else None,
}
# 专项测试保留
def test_分型中K(self):
t = self._get_target()
seq = t.缠论K线序列
分序 = t.分型序列
for fx in 分序[:10]:
中 = fx.中
for ck in seq:
if ck.时间戳 == 中.时间戳:
self.assertIs(ck, 中, f"分型.中 (ts={中.时间戳}) 与序列中元素不匹配")
break
def test_笔端点钟K(self):
t = self._get_target()
seq = t.缠论K线序列
for bi in t.笔序列:
for nm, getter in [("文", lambda b=bi: b.文), ("武", lambda b=bi: b.武)]:
ep = getter()
if ep is None:
continue
中 = ep.中
for ck in seq:
if ck.时间戳 == 中.时间戳:
self.assertIs(ck, 中, f"笔.{nm}.中 (ts={中.时间戳}) 与序列中元素不匹配")
break
class Test分型身份(_Base身份, RcIdentityMixin, unittest.TestCase):
"""分型: 从分型序列、笔/线段端点等不同路径访问."""
@staticmethod
def target_factory():
return create_observer()
sequence_getters = {
"分型序列": lambda t: t.分型序列,
}
stable_getters = {
"笔[0].文": lambda t: t.笔序列[0].文 if t.笔序列 else None,
"笔[0].武": lambda t: t.笔序列[0].武 if t.笔序列 else None,
}
def test_笔端点与序列(self):
t = self._get_target()
分序 = t.分型序列
for bi in t.笔序列:
for nm in ["文", "武"]:
ep = getattr(bi, nm)
if ep is None:
continue
matched = False
for fx in 分序:
if fx.时间戳 == ep.时间戳 and fx.结构 == ep.结构:
self.assertIs(fx, ep, f"笔.{nm} (ts={ep.时间戳}) 与分型序列中元素不匹配")
matched = True
break
self.assertTrue(matched, f"笔.{nm} (ts={ep.时间戳}) 在分型序列中未找到")
def test_段端点与序列(self):
t = self._get_target()
分序 = t.分型序列
for duan in t.线段序列:
for nm in ["文", "武"]:
ep = getattr(duan, nm)
if ep is None:
continue
matched = False
for fx in 分序:
if fx.时间戳 == ep.时间戳 and fx.结构 == ep.结构:
self.assertIs(fx, ep, f"段.{nm} (ts={ep.时间戳}) 与分型序列中元素不匹配")
matched = True
break
self.assertTrue(matched, f"段.{nm} (ts={ep.时间戳}) 在分型序列中未找到")
class Test虚线身份(_Base身份, RcIdentityMixin, unittest.TestCase):
"""虚线(笔/线段): 从笔序列、线段序列、中枢内部序列等不同路径访问."""
@staticmethod
def target_factory():
return create_observer()
sequence_getters = {
"笔序列": lambda t: t.笔序列,
"线段序列": lambda t: t.线段序列,
}
def test_多个扩展序列(self):
t = self._get_target()
s1 = t.扩展线段序列
s2 = t.扩展线段序列_线段
for d1 in s1:
for d2 in s2:
if d1.序号 == d2.序号:
self.assertIs(d1, d2, f"扩展线段序列[{d1.序号}] 跨序列身份不一致")
break
class TestK线身份(_Base身份, RcIdentityMixin, unittest.TestCase):
"""原始K线: 从序列、买卖点、缠K标的等不同路径访问."""
@staticmethod
def target_factory():
return create_observer()
sequence_getters = {
"普通K线序列": lambda t: t.普通K线序列,
}
class Test中枢身份(_Base身份, RcIdentityMixin, unittest.TestCase):
"""中枢: 从中枢序列、分型关联、笔中枢/线段中枢等不同路径访问."""
@staticmethod
def target_factory():
return create_observer(period=3600, n_bars=800)
sequence_getters = {
"中枢序列": lambda t: t.中枢序列,
}
stable_getters = {
"笔中枢[0].文": lambda t: t.笔_中枢序列[0].文 if t.笔_中枢序列 else None,
"段中枢[0].文": lambda t: t.线段_中枢序列[0].文 if t.线段_中枢序列 else None,
}
class Test整体身份(_Base身份, unittest.TestCase):
"""跨类型综合身份测试."""
@classmethod
def setUpClass(cls):
cls.obs = create_observer(period=3600, n_bars=800)
def test_买卖点分型(self):
分序 = self.obs.分型序列
笔序 = self.obs.笔序列
self.assertGreaterEqual(len(分序), 0)
self.assertGreaterEqual(len(笔序), 0)
def test_全链路一致性(self):
obs = create_observer()
seq = obs.缠论K线序列
for bi in obs.笔序列:
for nm, getter in [("文", lambda b=bi: b.文), ("武", lambda b=bi: b.武)]:
ep = getter()
if ep is None:
continue
中 = ep.中
for ck in seq:
if ck.时间戳 == 中.时间戳:
self.assertIs(ck, 中)
break
左 = ep.左
if 左 is not None:
for ck in seq:
if ck.时间戳 == 左.时间戳:
self.assertIs(ck, 左)
break
右 = ep.右
if 右 is not None:
for ck in seq:
if ck.时间戳 == 右.时间戳:
self.assertIs(ck, 右)
break
# ============================================================
# 集成对比测试
# ============================================================
class Test集成对比(unittest.TestCase):
"""全量集成测试：喂入 .nb 数据，与 Python 参考输出对比."""
@classmethod
def setUpClass(cls):
if not _has_nb():
raise unittest.SkipTest("需要 .nb 数据文件")
def test_full_integration(self):
out_dir = os.path.join(tempfile.gettempdir(), "chanlun_py_test_output")
bars = read_nb_bars(NB_PATH)
self.assertGreater(len(bars), 0, "未读取到任何 K 线")
obs = chanlun.观察者("btcusd", 300)
self.assertEqual(obs.标识, "btcusd:300")
self.assertEqual(obs.周期, 300)
for i, (ts, o, h, l, c, v) in enumerate(bars):
k = chanlun.K线.创建普K(f"btcusd_{i}", ts, o, h, l, c, v, i, 300)
obs.增加原始K线(k)
self.assertGreater(len(obs.普通K线序列), 0)
self.assertGreater(len(obs.缠论K线序列), 0)
os.makedirs(out_dir, exist_ok=True)
obs.测试_保存数据(out_dir)
subdirs = [d for d in os.listdir(out_dir) if os.path.isdir(os.path.join(out_dir, d))]
self.assertGreater(len(subdirs), 0, "No output subdirectory found!")
actual_out_dir = os.path.join(out_dir, subdirs[0])
out_files = sorted(os.listdir(actual_out_dir))
self.assertGreaterEqual(len(out_files), 14, f"Expected >= 14 output files, got {len(out_files)}")
if not os.path.isdir(_PY_REF_DIR):
self.skipTest(f"Python reference dir not found: {_PY_REF_DIR}")
ref_files = sorted(os.listdir(_PY_REF_DIR))
match_count = 0
diff_count = 0
for fname in ref_files:
ref_path = os.path.join(_PY_REF_DIR, fname)
out_path = os.path.join(actual_out_dir, fname)
if not os.path.exists(out_path):
self.fail(f"MISSING: {fname}")
continue
with open(ref_path) as f:
ref_lines = f.readlines()
with open(out_path) as f:
out_lines = f.readlines()
if ref_lines == out_lines:
match_count += 1
else:
diff_count += 1
for j, (rl, ol) in enumerate(zip(ref_lines, out_lines)):
if rl != ol:
print(f" DIFF {fname} line {j}:")
print(f" REF: {rl.rstrip()}")
print(f" OUT: {ol.rstrip()}")
break
if len(ref_lines) != len(out_lines):
print(f" DIFF {fname}: line count {len(ref_lines)} vs {len(out_lines)}")
self.assertEqual(diff_count, 0, f"{diff_count} files differ, {match_count} match")
print(f" All {match_count} Python reference files match!")
# ============================================================
# API 一致性测试 — chan.py vs chanlun
# ============================================================
class TestApi一致性(ApiConsistencyMixin, unittest.TestCase):
"""chan.py (Python参考) 与 chanlun (Rust/PyO3) 的 API 描述符类型一致性.
验证: 同名类的同名成员在两边有相同的描述符类型:
property / classmethod / staticmethod / regular_method
"""
reference_module = chanlun.chan
target_module = chanlun
# pydantic 模型方法 + Python list/str 继承方法 → 噪音过滤
noise_filters = [
# pydantic v1/v2
"construct",
"copy",
"dict",
"json",
"schema",
"schema_json",
"validate",
"parse_file",
"parse_obj",
"parse_raw",
"from_orm",
"update_forward_refs",
"model_",
"bool_parse_fallback_default",
# Python str (Enum 继承)
"capitalize",
"casefold",
"center",
"count",
"encode",
"endswith",
"expandtabs",
"find",
"format",
"format_map",
"index",
"isalnum",
"isalpha",
"isascii",
"isdecimal",
"isdigit",
"isidentifier",
"islower",
"isnumeric",
"isprintable",
"isspace",
"istitle",
"isupper",
"join",
"ljust",
"lower",
"lstrip",
"maketrans",
"partition",
"removeprefix",
"removesuffix",
"replace",
"rfind",
"rindex",
"rjust",
"rpartition",
"rsplit",
"rstrip",
"split",
"splitlines",
"startswith",
"strip",
"swapcase",
"title",
"translate",
"upper",
"zfill",
# Python list
"append",
"clear",
"extend",
"insert",
"pop",
"remove",
"reverse",
"sort",
]
# 已知 target 中缺失的成员（有意未移植或用户自行实现）
known_missing_in_target = {
"K线合成器": {"设置事件回调"},
"观察者": {"识别买卖点"}, # 用户子类化时重写
"缠论配置": {"兼容旧版本配置"}, # pydantic v1 兼容
}
# ============================================================
# main
# ============================================================
if __name__ == "__main__":
unittest.main()
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