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test_exercise3.py
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test_exercise3.py
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#!/usr/bin/env python
""" Assignment 2, Exercise 3, INF1340, Fall, 2015. DBMS
Test module for exercise3.py
"""
__author__ = 'Susan Sim'
__email__ = "ses@drsusansim.org"
__copyright__ = "2015 Susan Sim"
__license__ = "MIT License"
import pytest
import mock
from exercise3 import union, intersection, difference
###########
# TABLES ##
###########
GRADUATES = [["Number", "Surname", "Age"],
[7274, "Robinson", 37],
[7432, "O'Malley", 39],
[9824, "Darkes", 38]]
MANAGERS = [["Number", "Surname", "Age"],
[9297, "O'Malley", 56],
[7432, "O'Malley", 39],
[9824, "Darkes", 38]]
ALUMNI = [["Number", "Surname", "Age"],
[7274, "Robinson", 37],
[7432, "O'Malley", 39],
[9824, "Darkes", 38]]
ACTORS = [["Number", "Surname", "Age"],
[5400, "Bernard", 40],
[7302, "Markham", 34],
[8776, "Shingle", 52]]
BEATLES = [["Name", "Instrument"],
["John", "Guitar"],
["Paul", "Bass"],
["George", "Guitar"],
["Ringo", "Drums"]]
#####################
# HELPER FUNCTIONS ##
#####################
def is_equal(t1, t2):
return sorted(t1) == sorted(t2)
###################
# TEST FUNCTIONS ##
###################
def test_union():
"""
Test union operation. If both tables have the same schema the function will return a new table that contains all
unique rows that appear in either table. Tested three comparisons, one where two tables were semi-similar, one where
they were the same and one where they were completely different.
"""
result = [["Number", "Surname", "Age"],
[7274, "Robinson", 37],
[9297, "O'Malley", 56],
[7432, "O'Malley", 39],
[9824, "Darkes", 38]]
assert is_equal(result, union(GRADUATES, MANAGERS))
result = [["Number", "Surname", "Age"],
[7274, "Robinson", 37],
[7432, "O'Malley", 39],
[9824, "Darkes", 38]]
assert is_equal(result, union(GRADUATES, ALUMNI))
result = [["Number", "Surname", "Age"],
[7274, "Robinson", 37],
[7432, "O'Malley", 39],
[9824, "Darkes", 38],
[5400, "Bernard", 40],
[7302, "Markham", 34],
[8776, "Shingle", 52]]
assert is_equal(result, union(GRADUATES, ACTORS))
def test_intersection():
"""
Test intersection operation. If both tables are the same, function should return a new table
that contains all the unique rows that appear in both tables.
"""
result = [["Number", "Surname", "Age"],
[7432, "O'Malley", 39],
[9824, "Darkes", 38]]
assert is_equal(result, intersection(GRADUATES, MANAGERS))
result = [["Number", "Surname", "Age"],
[7274, "Robinson", 37],
[7432, "O'Malley", 39],
[9824, "Darkes", 38]]
assert is_equal(result, intersection(GRADUATES, ALUMNI))
assert intersection(GRADUATES, ACTORS) == None
def test_difference():
"""
Test difference operation. After its been determined that the schema of both tables is the same the
function will return a new table that holds all unique rows that appear in the first table but not the second.
"""
result = [["Number", "Surname", "Age"],
[7274, "Robinson", 37]]
assert is_equal(result, difference(GRADUATES, MANAGERS))
assert difference(GRADUATES, ALUMNI) == None
result = [["Number", "Surname", "Age"],
[7274, "Robinson", 37],
[7432, "O'Malley", 39],
[9824, "Darkes", 38]]
assert is_equal(result, difference(GRADUATES, ACTORS))
def test_schemas():
"""
Established a function to test whether the schemas of both tables are the same. If they are not the program
raises a MismatchedAttributesException error.
"""
with pytest.raises(Exception):
union(GRADUATES,BEATLES)