翻译强力驱动I have to implement nosetests for Python code using a MongoDB store. Is there any python library which permits me initializing a mock in-memory MongoDB server?
I am using continuous integration. So, I want my tests to be independent of any MongoDB running server. Is there a way to mock mongoDM Server in memory to test the code independently of connecting to a Mongo server?
Thanks in advance!
You could try: https://github.com/vmalloc/mongomock, which aims to be a small library for mocking pymongo collection objects for testing purposes.
However, I'm not sure that the cost of just running mongodb would be prohibitive compared to ensuring some mocking library is feature complete.
I don’t know about Python, but I had a similar concern with C#. I decided to just run a real instance of Mongo on my workstation pointed at an empty directory. It’s not great because the code isn’t isolated but it’s fast and easy.
Only the data access layer actually calls Mongo during the test. The rest can rely on the mocks of the data access layer. I didn’t feel like faking Mongo was worth the effort when really I want to verify the interaction with Mongo is correct anyway.
You can use Ming which has an in-memory mongo db pymongo connection replacement.
import ming mg = ming.create_datastore('mim://') mg.conn # is the connection mg.db # is a db with no name mg.conn.somedb.somecol # >> mim.Collection(mim.Database(somedb), somecol) col = mg.conn.somedb.somecol col.insert({'a': 1}) # >> ObjectId('5216ac3fe0323a1218f4e9aa') col.find().count() # >> 1