问题
I'm trying to test that a pandas method gets called with some values.
However, just by applying a @patch decorator causes the patched method to throw a ValueError
within pandas, when the actual method does not. I'm just trying to test that Stock.calc_sma
is calling the underlying pandas.rolling_mean
function.
I'm under the assumption that the @patch
decorator basically adds some "magic" methods to the thing I'm patching that allow me to check if the function was called. If this is the case, why doesn't the pandas.rolling_mean
function behave the same whether it's patched vs. not patched?
app/models.py
import pandas as pd
class Stock: # i've excluded a bunch of class methods, including the one that sets self.data, which is a DataFrame of stock prices.
def calc_sma(self, num_days)
if self.data.shape[0] > num_days: # Stock.data holds a DataFrame of stock prices
column_title = 'sma' + str(num_days)
self.data[column_title] = pd.rolling_mean(self.data['Adj Close'], num_days)
app/tests/TestStockModel.py
def setUp(self):
self.stock = MagicMock(Stock)
self.stock.ticker = "AAPL"
self.stock.data = DataFrame(aapl_test_data.data)
@patch('app.models.pd.rolling_mean')
def test_calc_sma(self, patched_rolling_mean):
Stock.calc_sma(self.stock, 3)
assert(isinstance(self.stock.data['sma3'], Series))
patched_rolling_mean.assert_any_call()
ERROR: test_calc_sma (TestStockModel.TestStockModel)
Traceback (most recent call last):
File "/Users/grant/Code/python/chartflux/env/lib/python2.7/site-packages/mock.py", line 1201, in patched
return func(*args, **keywargs)
File "/Users/grant/Code/python/chartflux/app/tests/TestStockModel.py", line 26, in test_calc_sma
Stock.calc_sma(self.stock, 3)
File "/Users/grant/Code/python/chartflux/app/models.py", line 27, in calc_sma
self.data[column_title] = pd.rolling_mean(self.data['Adj Close'], num_days)
File "/Users/grant/Code/python/chartflux/env/lib/python2.7/site-packages/pandas/core/frame.py", line 1887, in __setitem__
self._set_item(key, value)
File "/Users/grant/Code/python/chartflux/env/lib/python2.7/site-packages/pandas/core/frame.py", line 1967, in _set_item
value = self._sanitize_column(key, value)
File "/Users/grant/Code/python/chartflux/env/lib/python2.7/site-packages/pandas/core/frame.py", line 2017, in _sanitize_column
raise ValueError('Length of values does not match length of '
ValueError: Length of values does not match length of index
回答1:
>>> import os
>>> os.getcwd()
'/'
>>> from unittest.mock import patch
>>> with patch('os.getcwd'):
... print(os.getcwd)
... print(os.getcwd())
... print(len(os.getcwd()))
...
<MagicMock name='getcwd' id='4472112296'>
<MagicMock name='getcwd()' id='4472136928'>
0
By default patch
replaces things with really generic mock objects. As you can see, calling the mock just returns another mock. It has a len
of 0 even if the replaced object wouldn't have a len
. Its attributes are also generic mocks.
So to simulate behavior requires things extra arguments like:
>>> with patch('os.getcwd', return_value='/a/wonderful/place'):
... os.getcwd()
...
'/a/wonderful/place'
Or to "pass through":
>>> _cwd = os.getcwd
>>> with patch('os.getcwd') as p:
... p.side_effect = lambda: _cwd()
... print(os.getcwd())
...
/
There is a similar example in https://docs.python.org/3.5/library/unittest.mock-examples.html
来源:https://stackoverflow.com/questions/25097061/patching-a-method-without-changing-how-the-method-works