Python 使用 pytest 的单元测试覆盖率
Python unit test coverage using pytest
我是 pytest 的新手,想为单元测试覆盖添加以下 3 种方法,而不是实际使用真正的 mongo 数据库实例,而是模拟它。
可以尝试使用真实的数据库实例,但不推荐这样做。
请求有关如何模拟 mongodb 客户端并获取文档的示例
import os
import logging
import urllib.parse
from dotenv import load_dotenv
from pymongo import MongoClient
from logger import *
load_dotenv()
def getMongoConnection():
userName = urllib.parse.quote_plus(os.getenv("USER_NAME"))
password = urllib.parse.quote_plus(os.getenv("PASSWORD"))
hostName1_port = os.getenv("HOST_NAME1")
hostName2_port = os.getenv("HOST_NAME2")
hostName3_port = os.getenv("HOST_NAME3")
authSourceDatabase = os.getenv("AUTH_SOURCE_DATABASE")
replicaSet = os.getenv("REPLICA_SET")
connectTimeoutMS = "1000"
socketTimeoutMS = "30000"
maxPoolSize = "100"
try:
client = MongoClient('mongodb://'+userName+':'+password+'@'+hostName1_port+','+hostName2_port+','+hostName3_port+'/'+authSourceDatabase+'?ssl=true&replicaSet='+replicaSet +
'&authSource='+authSourceDatabase+'&retryWrites=true&w=majority&connectTimeoutMS='+connectTimeoutMS+'&socketTimeoutMS='+socketTimeoutMS+'&maxPoolSize='+maxPoolSize)
return client
except Exception as e:
logging.error("Error while connecting to mongoDB.")
return False
def connectToDBCollection(client, databaseName, collectionName):
db = client[databaseName]
collection = db[collectionName]
return collection
def getDoc(bucketName, databaseName, collectionName):
try:
client = getMongoConnection()
if client != False:
collection = connectToDBCollection(
client, databaseName, collectionName)
return collection.find_one({'bucket': bucketName})
except Exception as e:
logging.error("An exception occurred while fetching doc, error is ", e)
编辑:(尝试使用以下代码并能够涵盖大多数情况但看到错误)
def test_mongo():
db_conn = mongomock.MongoClient()
assert isinstance(getMongoConnection(), MongoClient)
def test_connect_mongo():
return connectToDBCollection(mongomock.MongoClient(), "sampleDB", "sampleCollection")
//trying to cover exception block for getMongoConnection()
def test_exception():
with pytest.raises(Exception) as excinfo:
getMongoConnection()
assert str(excinfo.value) == False
def test_getDoc():
collection = mongomock.MongoClient().db.collection
stored_obj = collection.find_one({'_id': 1})
assert stored_obj == getDoc("bucket", "db", "collection")
def test_createDoc():
collection = mongomock.MongoClient().db.collection
stored_obj = collection.insert_one({'_id': 1})
assert stored_obj == createDoc("bucket", "db", "collection")
def test_updateDoc():
collection = mongomock.MongoClient().db.collection
stored_obj = collection.replace_one({'_id': 1}, {'_id': 2})
assert stored_obj == updateDoc(
{'_id': 1}, {'$set': {'_id': 2}}, "db", "collection")
错误:
test_exception - 失败:没有提高
test_createDoc - 类型错误:并非所有参数都在字符串格式化期间转换
AssertionError: assert ==
看起来 MongoClient 是一个带有 databaseName
和 collectionName
的嵌套字典,或者是使用键访问器实现的。
你可以先模拟客户端
import unittest
mocked_collection = unittest.mock.MagicMock()
# mock the find_one method
mocked_collection.find_one.return_value = {'data': 'collection_find_one_result'}
mocked_client = unittest.mock.patch('pymongo.MongoClient').start()
mocked_client.return_value = {
'databaseName': {'collectionname': mocked_collection}
}
也许可以尝试像 MongoMock 这样的专门模拟库?
特别是最后一个使用 @mongomock.patch
的示例看起来可能与您的代码相关。
我是 pytest 的新手,想为单元测试覆盖添加以下 3 种方法,而不是实际使用真正的 mongo 数据库实例,而是模拟它。 可以尝试使用真实的数据库实例,但不推荐这样做。 请求有关如何模拟 mongodb 客户端并获取文档的示例
import os
import logging
import urllib.parse
from dotenv import load_dotenv
from pymongo import MongoClient
from logger import *
load_dotenv()
def getMongoConnection():
userName = urllib.parse.quote_plus(os.getenv("USER_NAME"))
password = urllib.parse.quote_plus(os.getenv("PASSWORD"))
hostName1_port = os.getenv("HOST_NAME1")
hostName2_port = os.getenv("HOST_NAME2")
hostName3_port = os.getenv("HOST_NAME3")
authSourceDatabase = os.getenv("AUTH_SOURCE_DATABASE")
replicaSet = os.getenv("REPLICA_SET")
connectTimeoutMS = "1000"
socketTimeoutMS = "30000"
maxPoolSize = "100"
try:
client = MongoClient('mongodb://'+userName+':'+password+'@'+hostName1_port+','+hostName2_port+','+hostName3_port+'/'+authSourceDatabase+'?ssl=true&replicaSet='+replicaSet +
'&authSource='+authSourceDatabase+'&retryWrites=true&w=majority&connectTimeoutMS='+connectTimeoutMS+'&socketTimeoutMS='+socketTimeoutMS+'&maxPoolSize='+maxPoolSize)
return client
except Exception as e:
logging.error("Error while connecting to mongoDB.")
return False
def connectToDBCollection(client, databaseName, collectionName):
db = client[databaseName]
collection = db[collectionName]
return collection
def getDoc(bucketName, databaseName, collectionName):
try:
client = getMongoConnection()
if client != False:
collection = connectToDBCollection(
client, databaseName, collectionName)
return collection.find_one({'bucket': bucketName})
except Exception as e:
logging.error("An exception occurred while fetching doc, error is ", e)
编辑:(尝试使用以下代码并能够涵盖大多数情况但看到错误)
def test_mongo():
db_conn = mongomock.MongoClient()
assert isinstance(getMongoConnection(), MongoClient)
def test_connect_mongo():
return connectToDBCollection(mongomock.MongoClient(), "sampleDB", "sampleCollection")
//trying to cover exception block for getMongoConnection()
def test_exception():
with pytest.raises(Exception) as excinfo:
getMongoConnection()
assert str(excinfo.value) == False
def test_getDoc():
collection = mongomock.MongoClient().db.collection
stored_obj = collection.find_one({'_id': 1})
assert stored_obj == getDoc("bucket", "db", "collection")
def test_createDoc():
collection = mongomock.MongoClient().db.collection
stored_obj = collection.insert_one({'_id': 1})
assert stored_obj == createDoc("bucket", "db", "collection")
def test_updateDoc():
collection = mongomock.MongoClient().db.collection
stored_obj = collection.replace_one({'_id': 1}, {'_id': 2})
assert stored_obj == updateDoc(
{'_id': 1}, {'$set': {'_id': 2}}, "db", "collection")
错误:
test_exception - 失败:没有提高
看起来 MongoClient 是一个带有 databaseName
和 collectionName
的嵌套字典,或者是使用键访问器实现的。
你可以先模拟客户端
import unittest
mocked_collection = unittest.mock.MagicMock()
# mock the find_one method
mocked_collection.find_one.return_value = {'data': 'collection_find_one_result'}
mocked_client = unittest.mock.patch('pymongo.MongoClient').start()
mocked_client.return_value = {
'databaseName': {'collectionname': mocked_collection}
}
也许可以尝试像 MongoMock 这样的专门模拟库?
特别是最后一个使用 @mongomock.patch
的示例看起来可能与您的代码相关。