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# Copyright (c) OpenMMLab. All rights reserved.
import os
import os.path as osp
import sys
import tempfile
from unittest.mock import MagicMock, patch
import pytest
import mmcv
from mmcv.fileio.file_client import HTTPBackend, PetrelBackend
sys.modules['petrel_client'] = MagicMock()
sys.modules['petrel_client.client'] = MagicMock()
def _test_handler(file_format, test_obj, str_checker, mode='r+'):
# dump to a string
dump_str = mmcv.dump(test_obj, file_format=file_format)
str_checker(dump_str)
# load/dump with filenames from disk
tmp_filename = osp.join(tempfile.gettempdir(), 'mmcv_test_dump')
mmcv.dump(test_obj, tmp_filename, file_format=file_format)
assert osp.isfile(tmp_filename)
load_obj = mmcv.load(tmp_filename, file_format=file_format)
assert load_obj == test_obj
os.remove(tmp_filename)
# load/dump with filename from petrel
method = 'put' if 'b' in mode else 'put_text'
with patch.object(PetrelBackend, method, return_value=None) as mock_method:
filename = 's3://path/of/your/file'
mmcv.dump(test_obj, filename, file_format=file_format)
mock_method.assert_called()
# json load/dump with a file-like object
with tempfile.NamedTemporaryFile(mode, delete=False) as f:
tmp_filename = f.name
mmcv.dump(test_obj, f, file_format=file_format)
assert osp.isfile(tmp_filename)
with open(tmp_filename, mode) as f:
load_obj = mmcv.load(f, file_format=file_format)
assert load_obj == test_obj
os.remove(tmp_filename)
# automatically inference the file format from the given filename
tmp_filename = osp.join(tempfile.gettempdir(),
'mmcv_test_dump.' + file_format)
mmcv.dump(test_obj, tmp_filename)
assert osp.isfile(tmp_filename)
load_obj = mmcv.load(tmp_filename)
assert load_obj == test_obj
os.remove(tmp_filename)
obj_for_test = [{'a': 'abc', 'b': 1}, 2, 'c']
def test_json():
def json_checker(dump_str):
assert dump_str in [
'[{"a": "abc", "b": 1}, 2, "c"]', '[{"b": 1, "a": "abc"}, 2, "c"]'
]
_test_handler('json', obj_for_test, json_checker)
def test_yaml():
def yaml_checker(dump_str):
assert dump_str in [
'- {a: abc, b: 1}\n- 2\n- c\n', '- {b: 1, a: abc}\n- 2\n- c\n',
'- a: abc\n b: 1\n- 2\n- c\n', '- b: 1\n a: abc\n- 2\n- c\n'
]
_test_handler('yaml', obj_for_test, yaml_checker)
def test_pickle():
def pickle_checker(dump_str):
import pickle
assert pickle.loads(dump_str) == obj_for_test
_test_handler('pickle', obj_for_test, pickle_checker, mode='rb+')
def test_exception():
test_obj = [{'a': 'abc', 'b': 1}, 2, 'c']
with pytest.raises(ValueError):
mmcv.dump(test_obj)
with pytest.raises(TypeError):
mmcv.dump(test_obj, 'tmp.txt')
def test_register_handler():
@mmcv.register_handler('txt')
class TxtHandler1(mmcv.BaseFileHandler):
def load_from_fileobj(self, file):
return file.read()
def dump_to_fileobj(self, obj, file):
file.write(str(obj))
def dump_to_str(self, obj, **kwargs):
return str(obj)
@mmcv.register_handler(['txt1', 'txt2'])
class TxtHandler2(mmcv.BaseFileHandler):
def load_from_fileobj(self, file):
return file.read()
def dump_to_fileobj(self, obj, file):
file.write('\n')
file.write(str(obj))
def dump_to_str(self, obj, **kwargs):
return str(obj)
content = mmcv.load(osp.join(osp.dirname(__file__), 'data/filelist.txt'))
assert content == '1.jpg\n2.jpg\n3.jpg\n4.jpg\n5.jpg'
tmp_filename = osp.join(tempfile.gettempdir(), 'mmcv_test.txt2')
mmcv.dump(content, tmp_filename)
with open(tmp_filename) as f:
written = f.read()
os.remove(tmp_filename)
assert written == '\n' + content
def test_list_from_file():
# get list from disk
filename = osp.join(osp.dirname(__file__), 'data/filelist.txt')
filelist = mmcv.list_from_file(filename)
assert filelist == ['1.jpg', '2.jpg', '3.jpg', '4.jpg', '5.jpg']
filelist = mmcv.list_from_file(filename, prefix='a/')
assert filelist == ['a/1.jpg', 'a/2.jpg', 'a/3.jpg', 'a/4.jpg', 'a/5.jpg']
filelist = mmcv.list_from_file(filename, offset=2)
assert filelist == ['3.jpg', '4.jpg', '5.jpg']
filelist = mmcv.list_from_file(filename, max_num=2)
assert filelist == ['1.jpg', '2.jpg']
filelist = mmcv.list_from_file(filename, offset=3, max_num=3)
assert filelist == ['4.jpg', '5.jpg']
# get list from http
with patch.object(
HTTPBackend, 'get_text', return_value='1.jpg\n2.jpg\n3.jpg'):
filename = 'http://path/of/your/file'
filelist = mmcv.list_from_file(
filename, file_client_args={'backend': 'http'})
assert filelist == ['1.jpg', '2.jpg', '3.jpg']
filelist = mmcv.list_from_file(
filename, file_client_args={'prefix': 'http'})
assert filelist == ['1.jpg', '2.jpg', '3.jpg']
filelist = mmcv.list_from_file(filename)
assert filelist == ['1.jpg', '2.jpg', '3.jpg']
# get list from petrel
with patch.object(
PetrelBackend, 'get_text', return_value='1.jpg\n2.jpg\n3.jpg'):
filename = 's3://path/of/your/file'
filelist = mmcv.list_from_file(
filename, file_client_args={'backend': 'petrel'})
assert filelist == ['1.jpg', '2.jpg', '3.jpg']
filelist = mmcv.list_from_file(
filename, file_client_args={'prefix': 's3'})
assert filelist == ['1.jpg', '2.jpg', '3.jpg']
filelist = mmcv.list_from_file(filename)
assert filelist == ['1.jpg', '2.jpg', '3.jpg']
def test_dict_from_file():
# get dict from disk
filename = osp.join(osp.dirname(__file__), 'data/mapping.txt')
mapping = mmcv.dict_from_file(filename)
assert mapping == {'1': 'cat', '2': ['dog', 'cow'], '3': 'panda'}
mapping = mmcv.dict_from_file(filename, key_type=int)
assert mapping == {1: 'cat', 2: ['dog', 'cow'], 3: 'panda'}
# get dict from http
with patch.object(
HTTPBackend, 'get_text', return_value='1 cat\n2 dog cow\n3 panda'):
filename = 'http://path/of/your/file'
mapping = mmcv.dict_from_file(
filename, file_client_args={'backend': 'http'})
assert mapping == {'1': 'cat', '2': ['dog', 'cow'], '3': 'panda'}
mapping = mmcv.dict_from_file(
filename, file_client_args={'prefix': 'http'})
assert mapping == {'1': 'cat', '2': ['dog', 'cow'], '3': 'panda'}
mapping = mmcv.dict_from_file(filename)
assert mapping == {'1': 'cat', '2': ['dog', 'cow'], '3': 'panda'}
# get dict from petrel
with patch.object(
PetrelBackend, 'get_text',
return_value='1 cat\n2 dog cow\n3 panda'):
filename = 's3://path/of/your/file'
mapping = mmcv.dict_from_file(
filename, file_client_args={'backend': 'petrel'})
assert mapping == {'1': 'cat', '2': ['dog', 'cow'], '3': 'panda'}
mapping = mmcv.dict_from_file(
filename, file_client_args={'prefix': 's3'})
assert mapping == {'1': 'cat', '2': ['dog', 'cow'], '3': 'panda'}
mapping = mmcv.dict_from_file(filename)
assert mapping == {'1': 'cat', '2': ['dog', 'cow'], '3': 'panda'}
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