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from collections import OrderedDict
from decimal import Decimal
from agate import Table, TableSet
from agate.aggregations import Count, MaxLength, Mean, Min, Sum
from agate.data_types import Number, Text
from agate.exceptions import DataTypeError
from agate.testcase import AgateTestCase
class TestAggregate(AgateTestCase):
def setUp(self):
self.table1 = (
('a', 1),
('a', 3),
('b', 2)
)
self.table2 = (
('b', 0),
('a', 2),
('c', 5)
)
self.table3 = (
('a', 1),
('a', 2),
('c', 3)
)
self.text_type = Text()
self.number_type = Number()
self.column_names = ['letter', 'number']
self.column_types = [self.text_type, self.number_type]
self.tables = OrderedDict([
('table1', Table(self.table1, self.column_names, self.column_types)),
('table2', Table(self.table2, self.column_names, self.column_types)),
('table3', Table(self.table3, self.column_names, self.column_types))
])
def test_aggregate_key_name(self):
tableset = TableSet(self.tables.values(), self.tables.keys(), key_name='test')
new_table = tableset.aggregate([
('count', Count())
])
self.assertIsInstance(new_table, Table)
self.assertColumnNames(new_table, ('test', 'count'))
self.assertColumnTypes(new_table, [Text, Number])
def test_aggregate_key_type(self):
tables = OrderedDict([
(1, Table(self.table1, self.column_names, self.column_types)),
(2, Table(self.table2, self.column_names, self.column_types)),
(3, Table(self.table3, self.column_names, self.column_types))
])
tableset = TableSet(tables.values(), tables.keys(), key_name='test', key_type=self.number_type)
new_table = tableset.aggregate([
('count', Count())
])
self.assertIsInstance(new_table, Table)
self.assertColumnNames(new_table, ('test', 'count'))
self.assertColumnTypes(new_table, [Number, Number])
def test_aggregate_row_names(self):
tableset = TableSet(self.tables.values(), self.tables.keys(), key_name='test')
new_table = tableset.aggregate([
('count', Count())
])
self.assertRowNames(new_table, ['table1', 'table2', 'table3'])
def test_aggregate_sum(self):
tableset = TableSet(self.tables.values(), self.tables.keys())
new_table = tableset.aggregate([
('count', Count()),
('number_sum', Sum('number'))
])
self.assertIsInstance(new_table, Table)
self.assertColumnNames(new_table, ('group', 'count', 'number_sum'))
self.assertColumnTypes(new_table, [Text, Number, Number])
self.assertRows(new_table, [
('table1', 3, 6),
('table2', 3, 7),
('table3', 3, 6)
])
def test_aggregate_min(self):
tableset = TableSet(self.tables.values(), self.tables.keys())
new_table = tableset.aggregate([
('count', Count()),
('number_min', Min('number'))
])
self.assertIsInstance(new_table, Table)
self.assertColumnNames(new_table, ('group', 'count', 'number_min'))
self.assertColumnTypes(new_table, [Text, Number, Number])
self.assertRows(new_table, [
('table1', 3, 1),
('table2', 3, 0),
('table3', 3, 1)
])
def test_aggregate_two_ops(self):
tableset = TableSet(self.tables.values(), self.tables.keys())
new_table = tableset.aggregate([
('count', Count()),
('number_sum', Sum('number')),
('number_mean', Mean('number'))
])
self.assertIsInstance(new_table, Table)
self.assertColumnNames(new_table, ('group', 'count', 'number_sum', 'number_mean'))
self.assertColumnTypes(new_table, [Text, Number, Number, Number])
self.assertRows(new_table, [
('table1', 3, 6, 2),
('table2', 3, 7, Decimal(7) / 3),
('table3', 3, 6, 2)
])
def test_aggregate_max_length(self):
tableset = TableSet(self.tables.values(), self.tables.keys())
new_table = tableset.aggregate([
('count', Count()),
('letter_max_length', MaxLength('letter'))
])
self.assertIsInstance(new_table, Table)
self.assertColumnNames(new_table, ('group', 'count', 'letter_max_length'))
self.assertColumnTypes(new_table, [Text, Number, Number])
self.assertRows(new_table, [
('table1', 3, 1),
('table2', 3, 1),
('table3', 3, 1)
])
def test_aggregate_sum_invalid(self):
tableset = TableSet(self.tables.values(), self.tables.keys())
with self.assertRaises(DataTypeError):
tableset.aggregate([('letter_sum', Sum('letter'))])
def test_aggregeate_bad_column(self):
tableset = TableSet(self.tables.values(), self.tables.keys())
with self.assertRaises(KeyError):
tableset.aggregate([('one_sum', Sum('one'))])
with self.assertRaises(KeyError):
tableset.aggregate([('bad_sum', Sum('bad'))])
def test_nested_aggregation(self):
tableset = TableSet(self.tables.values(), self.tables.keys(), key_name='test')
nested = tableset.group_by('letter')
results = nested.aggregate([
('count', Count()),
('number_sum', Sum('number'))
])
self.assertIsInstance(results, Table)
self.assertColumnNames(results, ('test', 'letter', 'count', 'number_sum'))
self.assertColumnTypes(results, (Text, Text, Number, Number))
self.assertRows(results, [
('table1', 'a', 2, 4),
('table1', 'b', 1, 2),
('table2', 'b', 1, 0),
('table2', 'a', 1, 2),
('table2', 'c', 1, 5),
('table3', 'a', 2, 3),
('table3', 'c', 1, 3)
])
def test_nested_aggregate_row_names(self):
tableset = TableSet(self.tables.values(), self.tables.keys(), key_name='test')
nested = tableset.group_by('letter')
results = nested.aggregate([
('count', Count()),
('number_sum', Sum('number'))
])
self.assertRowNames(results, [
('table1', 'a'),
('table1', 'b'),
('table2', 'b'),
('table2', 'a'),
('table2', 'c'),
('table3', 'a'),
('table3', 'c'),
])
self.assertSequenceEqual(results.rows[('table1', 'a')], ('table1', 'a', 2, 4))
self.assertSequenceEqual(results.rows[('table2', 'c')], ('table2', 'c', 1, 5))
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