I use Python 3.4 from the Anaconda distribution. Within this distribution, I found the pymysql
library to connect to an existing MySQL database, which is located on another computer.
import pymysql
config = {
'user': 'my_user',
'passwd': 'my_passwd',
'host': 'my_host',
'port': my_port
}
try:
cnx = pymysql.connect(**config)
except pymysql.err.OperationalError :
sys.exit("Invalid Input: Wrong username/database or password")
I now want to write test code for my application, in which I want to create a very small database at the setUp
of every test case, preferably in memory. However, when I try this out of the blue with pymysql
, it cannot make a connection.
def setUp(self):
config = {
'user': 'test_user',
'passwd': 'test_passwd',
'host': 'localhost'
}
cnx = pymysql.connect(**config)
pymysql.err.OperationalError: (2003, "Can't connect to MySQL server on 'localhost' ([Errno 61] Connection refused)")
I have been googling around, and found some things about SQLite
and MySQLdb
. I have the following questions:
sqlite3
or MySQLdb
suitable for creating quickly a database in memory?MySQLdb
within the Anaconda package?setUp
? Is this even a good idea?I do not have a MySQL server running locally on my computer.
You can mock a mysql db using testing.mysqld (pip install testing.mysqld
)
Due to some noisy error logs that crop up, I like this setup when testing:
import testing.mysqld
from sqlalchemy import create_engine
# prevent generating brand new db every time. Speeds up tests.
MYSQLD_FACTORY = testing.mysqld.MysqldFactory(cache_initialized_db=True, port=7531)
def tearDownModule():
"""Tear down databases after test script has run.
https://docs.python.org/3/library/unittest.html#setupclass-and-teardownclass
"""
MYSQLD_FACTORY.clear_cache()
class TestWhatever(unittest.TestCase):
@classmethod
def setUpClass(cls):
cls.mysql = MYSQLD_FACTORY()
cls.db_conn = create_engine(cls.mysql.url()).connect()
def setUp(self):
self.mysql.start()
self.db_conn.execute("""CREATE TABLE `foo` (blah)""")
def tearDown(self):
self.db_conn.execute("DROP TABLE foo")
@classmethod
def tearDownClass(cls):
cls.mysql.stop() # from source code we can see this kills the pid
def test_something(self):
# something useful