Django:如何使用 APIClient 在单元测试用例中上传 csv 文件
Django : How to upload csv file in unit test case using APIClient
我想为 Django REST Framework 应用程序的视图编写单元测试。测试应使用 POST 上传 CSV 文件。
@staticmethod
def _file_upload(client, string, args, file_name):
base_path = os.path.dirname(os.path.realpath(__file__))
with open(base_path + file_name, 'rb') as data:
data = {
'file': data
}
response = client.post(reverse(string, args=[args]), data, format = "multipart")
return response.status_code, response.data
我使用的上面的代码显然不起作用它显示了以下错误
Missing filename. Request should include a Content-Disposition header with a filename parameter.
以下代码是我要通过单元测试进行测试的代码。
class ChartOfAccounts(views.APIView):
parser_classes = (JSONParser, FileUploadParser)
def post(self, request, pk, *args, **kwargs):
request.FILES['file'].seek(0)
csv_data = CSVUtils.format_request_csv(request.FILES['file'])
try:
coa_data = CSVUtils.process_chart_of_accounts_csv(company, csv_data)
serializer = CoASerializer(coa_data, many=True)
if len(serializer.data) > 0:
return Utils.dispatch_success(request, serializer.data)
except Exception as e:
error = ["%s" % e]
return Utils.dispatch_failure(request, 'DATA_PARSING_ISSUE', error)
欢迎就此提供任何帮助。提前致谢
我已经使用不同的 HTTP 方法解决了我的问题 headers HTTP_CONTENT_DISPOSITION, HTTP_CONTENT_TYPE 参考 this
这是我的代码
@staticmethod
def _file_upload_csv( string, args, file_name):
base_path = os.path.dirname(os.path.realpath(__file__))
data = open(base_path + file_name, 'rb')
data = SimpleUploadedFile(content = data.read(),name = data.name,content_type='multipart/form-data')
factory = RequestFactory()
user = User.objects.get(username=UserConstant.ADMIN_USERNAME)
view = ChartOfAccounts.as_view()
content_type = 'multipart/form-data'
headers= {
'HTTP_CONTENT_TYPE': content_type,
'HTTP_CONTENT_DISPOSITION': 'attachment; filename='+file_name}
request = factory.post(reverse(string, args=[args]),{'file': data},
**headers)
force_authenticate(request, user=user)
response = view(request, args)
return response.status_code, response.data
**headers done the trick...
这是我所做的
@patch("pandas.read_csv")
@patch("pandas.DataFrame.to_sql")
def test_upload_csv_success(self, mock_read_csv, mock_to_sql) -> None:
"""Test uploading a csv file"""
file_name = "test.csv"
# Open file in write mode (Arrange)
with open(file_name, "w") as file:
writer = csv.writer(file)
# Add some rows in csv file
writer.writerow(["name", "area", "country_code2", "country_code3"])
writer.writerow(
["Albania", 28748, "AL", "ALB"],
)
writer.writerow(
["Algeria", 2381741, "DZ", "DZA"],
)
writer.writerow(
["Andorra", 468, "AD", "AND"],
)
# open file in read mode
data = open(file_name, "rb")
# Create a simple uploaded file
data = SimpleUploadedFile(
content=data.read(), name=data.name, content_type="multipart/form-data"
)
# Perform put request (Act)
res = self.client.put(CSV_URL, {"file_name": data}, format="multipart")
# Mock read_csv() and to_sql() functions provided by pandas module
mock_read_csv.return_value = True
mock_to_sql.return_value = True
# Assert
self.assertEqual(res.status_code, status.HTTP_201_CREATED)
self.assertEqual(res.data, "Data set uploaded")
# Delete the test csv file
os.remove(file_name)
我想为 Django REST Framework 应用程序的视图编写单元测试。测试应使用 POST 上传 CSV 文件。
@staticmethod
def _file_upload(client, string, args, file_name):
base_path = os.path.dirname(os.path.realpath(__file__))
with open(base_path + file_name, 'rb') as data:
data = {
'file': data
}
response = client.post(reverse(string, args=[args]), data, format = "multipart")
return response.status_code, response.data
我使用的上面的代码显然不起作用它显示了以下错误
Missing filename. Request should include a Content-Disposition header with a filename parameter.
以下代码是我要通过单元测试进行测试的代码。
class ChartOfAccounts(views.APIView):
parser_classes = (JSONParser, FileUploadParser)
def post(self, request, pk, *args, **kwargs):
request.FILES['file'].seek(0)
csv_data = CSVUtils.format_request_csv(request.FILES['file'])
try:
coa_data = CSVUtils.process_chart_of_accounts_csv(company, csv_data)
serializer = CoASerializer(coa_data, many=True)
if len(serializer.data) > 0:
return Utils.dispatch_success(request, serializer.data)
except Exception as e:
error = ["%s" % e]
return Utils.dispatch_failure(request, 'DATA_PARSING_ISSUE', error)
欢迎就此提供任何帮助。提前致谢
我已经使用不同的 HTTP 方法解决了我的问题 headers HTTP_CONTENT_DISPOSITION, HTTP_CONTENT_TYPE 参考 this
这是我的代码
@staticmethod
def _file_upload_csv( string, args, file_name):
base_path = os.path.dirname(os.path.realpath(__file__))
data = open(base_path + file_name, 'rb')
data = SimpleUploadedFile(content = data.read(),name = data.name,content_type='multipart/form-data')
factory = RequestFactory()
user = User.objects.get(username=UserConstant.ADMIN_USERNAME)
view = ChartOfAccounts.as_view()
content_type = 'multipart/form-data'
headers= {
'HTTP_CONTENT_TYPE': content_type,
'HTTP_CONTENT_DISPOSITION': 'attachment; filename='+file_name}
request = factory.post(reverse(string, args=[args]),{'file': data},
**headers)
force_authenticate(request, user=user)
response = view(request, args)
return response.status_code, response.data
**headers done the trick...
这是我所做的
@patch("pandas.read_csv")
@patch("pandas.DataFrame.to_sql")
def test_upload_csv_success(self, mock_read_csv, mock_to_sql) -> None:
"""Test uploading a csv file"""
file_name = "test.csv"
# Open file in write mode (Arrange)
with open(file_name, "w") as file:
writer = csv.writer(file)
# Add some rows in csv file
writer.writerow(["name", "area", "country_code2", "country_code3"])
writer.writerow(
["Albania", 28748, "AL", "ALB"],
)
writer.writerow(
["Algeria", 2381741, "DZ", "DZA"],
)
writer.writerow(
["Andorra", 468, "AD", "AND"],
)
# open file in read mode
data = open(file_name, "rb")
# Create a simple uploaded file
data = SimpleUploadedFile(
content=data.read(), name=data.name, content_type="multipart/form-data"
)
# Perform put request (Act)
res = self.client.put(CSV_URL, {"file_name": data}, format="multipart")
# Mock read_csv() and to_sql() functions provided by pandas module
mock_read_csv.return_value = True
mock_to_sql.return_value = True
# Assert
self.assertEqual(res.status_code, status.HTTP_201_CREATED)
self.assertEqual(res.data, "Data set uploaded")
# Delete the test csv file
os.remove(file_name)