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import os
import sys
import importlib.util
import numpy as np
import pandas as pd
import pytest
NMSE_THRESHOLD = 3e-5
# 读取所有需要测试的formula.py路径
with open(os.path.join(os.path.dirname(__file__), './filtered_formula_py.txt')) as f:
formula_py_list = [line.strip() for line in f if line.strip()]
def dynamic_import_formula(formula_path):
# 动态导入formula.py，并注入np
spec = importlib.util.spec_from_file_location('formula', formula_path)
module = importlib.util.module_from_spec(spec)
setattr(module, 'np', np)
sys.modules['formula'] = module
spec.loader.exec_module(module)
# 取第一个非__开头的函数
func = None
for name in dir(module):
if not name.startswith('__') and callable(getattr(module, name)):
func = getattr(module, name)
break
return func
def find_all_csv_files(formula_path):
# 返回同级目录下所有csv文件
base_dir = os.path.dirname(formula_path)
csv_files = []
for fname in os.listdir(base_dir):
if fname.endswith('.csv'):
fpath = os.path.join(base_dir, fname)
# 排除空文件
if os.path.getsize(fpath) > 0:
csv_files.append(fpath)
return csv_files
def calc_nmse(y_true, y_pred):
y_true = np.asarray(y_true)
y_pred = np.asarray(y_pred)
mse = np.mean((y_true - y_pred) ** 2)
var = np.mean((y_true - np.mean(y_true)) ** 2)
if var == 0:
return np.inf if mse > 0 else 0
return mse / var
@pytest.mark.parametrize('formula_path', formula_py_list)
def test_formula(formula_path):
func = dynamic_import_formula(formula_path)
csv_files = find_all_csv_files(formula_path)
assert csv_files, f'No csv files found for {formula_path}'
for csv_file in csv_files:
df = pd.read_csv(csv_file)
if df.shape[1] < 2:
continue # 跳过只有一列的csv
target_col = df.columns[-1] # 只取最后一列为target
input_cols = df.columns[:-1] # 前面所有列为输入
# 只测前1000行，防止超大
df = df.iloc[:1000]
y_true = df[target_col].values
y_pred = []
for _, row in df.iterrows():
try:
y_pred.append(func(*(row[col] for col in input_cols)))
except Exception as e:
pytest.fail(f'Error in {formula_path} {csv_file} row: {e}')
nmse = calc_nmse(y_true, y_pred)
assert nmse < NMSE_THRESHOLD, f'{formula_path} {csv_file} nmse={nmse} >= {NMSE_THRESHOLD}'
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