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test_exercise1.py
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test_exercise1.py
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#!/usr/bin/env python
""" Assignment 3, Exercise 1, INF1340, Fall, 2015. DBMS
Test module for exercise3.py
"""
__author__ = 'Adam Rogers-Green, Therese Owusu, Paola Santiago'
from exercise1 import selection, projection, cross_product
###########
# TABLES ##
###########
EMPLOYEES = [["Surname", "FirstName", "Age", "Salary"],
["Smith", "Mary", 25, 2000],
["Black", "Lucy", 40, 3000],
["Verdi", "Nico", 36, 4500],
["Smith", "Mark", 40, 3900]]
R1 = [["Employee", "Department"],
["Smith", "sales"],
["Black", "production"],
["White", "production"]]
R2 = [["Department", "Head"],
["production", "Mori"],
["sales", "Brown"]]
#####################
# HELPER FUNCTIONS ##
#####################
def is_equal(t1, t2):
t1.sort()
t2.sort()
return t1 == t2
#####################
# FILTER FUNCTIONS ##
#####################
def filter_employees(row):
"""
Check if employee represented by row
is AT LEAST 30 years old and makes
MORE THAN 3500.
:param row: A List in the format:
[{Surname}, {FirstName}, {Age}, {Salary}]
:return: True if the row satisfies the condition.
"""
return row[-2] >= 30 and row[-1] > 3500
def filter_eligible_voters(row):
return row[-1] >= 18
###################
# TEST FUNCTIONS ##
###################
def test_selection():
"""
Test select operation.
"""
result = [["Surname", "FirstName", "Age", "Salary"],
["Verdi", "Nico", 36, 4500],
["Smith", "Mark", 40, 3900]]
assert is_equal(result, selection(EMPLOYEES, filter_employees))
def test_projection():
"""
Test projection operation.
"""
result = [["Surname", "FirstName"],
["Smith", "Mary"],
["Black", "Lucy"],
["Verdi", "Nico"],
["Smith", "Mark"]]
assert is_equal(result, projection(EMPLOYEES, ["Surname", "FirstName"]))
def test_cross_product():
"""
Test cross product operation.
"""
result = [["Employee", "Department", "Department", "Head"],
["Smith", "sales", "production", "Mori"],
["Smith", "sales", "sales", "Brown"],
["Black", "production", "production", "Mori"],
["Black", "production", "sales", "Brown"],
["White", "production", "production", "Mori"],
["White", "production", "sales", "Brown"]]
assert is_equal(result, cross_product(R1, R2))
###########################
# ADDITIONAL TEST TABLE ##
###########################
BASEBALL_PLAYERS = [["Surname", "First Name", "Shirt Number"],
["Donaldson", "Josh", 20],
["Bird", "Greg", 31],
["Encarnacion", "Edwin", 10],
["Archer", "Chris", 22],
["Machado", "Manny", 13],
["Bogaerts", "Xander", 2]]
##########################
# ADDITIONAL TEST CASES ##
##########################
def test_projection_returns_error():
# Checks if projection() function raises an "AttributeError" if column is in the attributes list but not in table1.
try:
projection(BASEBALL_PLAYERS, ["Shirt Number", "name"])
except AttributeError:
assert True
def test_selection_returns_none():
# Checks if selection() function returns "None" if the result is an empty table.
t = [["Age", "Name"],
["Dan", 50],
["Mary", 44],
["Jose", 54]]
def f(r):
return r[-1] < 35
assert selection(t, f) == None
def test_cross_product_returns_none():
# Checks if cross_product() function returns "None" if result is empty table.
t1 = [["Name", "Age"],
["Dan", 50],
["Mary", 44],
["Jose", 54]]
t2 = [["Name", "Age"]]
assert cross_product(t1, t2) == None