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import logging
import tempfile
import pytest
from pbcommand.models.report import Table, Column, PbReportError
log = logging.getLogger(__name__)
class TestEmptyTable:
"""Basic Smoke tests"""
def setup_method(self, method):
self.columns = [Column('one', header="One"),
Column('two', header="Two"),
Column('three', header="Three")]
self.table = Table('my_table', columns=self.columns)
def test_str(self):
"""Smoke test for conversion to str"""
log.info(str(self.table))
assert str(self.table) is not None
def test_columns(self):
"""Test Columns"""
assert len(self.table.columns) == 3
def test_column_values(self):
"""Basic check for column values"""
for column in self.table.columns:
assert len(column.values) == 0
def test_to_dict(self):
"""Conversion to dictionary"""
assert isinstance(self.table.to_dict(), dict)
log.info(self.table.to_dict())
class TestBasicTable:
"""Basic Smoke tests"""
def setup_method(self, method):
self.columns = [Column('one', header="One"),
Column('two', header="Two"),
Column('three', header="Three"),
Column('four', header="Four")]
self.table = Table('my_table_with_values', columns=self.columns)
datum = [
('one', list(range(3))),
('two', list('abc')),
('three', 'file1 file2 file3'.split()),
('four', [3.14159, 2.72, 9.87654321])
]
for k, values in datum:
for value in values:
self.table.add_data_by_column_id(k, value)
def test_str(self):
"""Smoke test for conversion to str"""
log.info(str(self.table))
assert str(self.table) is not None
def test_columns(self):
"""Test Columns"""
assert len(self.table.columns) == 4
def test_column_values(self):
"""Basic check for column values"""
for column in self.table.columns:
assert len(column.values) == 3
def test_to_dict(self):
"""Conversion to dictionary"""
assert isinstance(self.table.to_dict(), dict)
log.info(self.table.to_dict())
def test_to_csv(self):
f = tempfile.NamedTemporaryFile(suffix=".csv").name
self.table.to_csv(f)
with open(f) as csv_out:
assert csv_out.read() == "One,Two,Three,Four\n0,a,file1,3.14159\n1,b,file2,2.72\n2,c,file3,9.87654321\n"
self.table.to_csv(f, float_format="%.4f")
with open(f) as csv_out:
assert csv_out.read() == "One,Two,Three,Four\n0,a,file1,3.1416\n1,b,file2,2.7200\n2,c,file3,9.8765\n"
self.table.to_csv(f, float_format="{:.2f}")
with open(f) as csv_out:
assert csv_out.read() == "One,Two,Three,Four\n0,a,file1,3.14\n1,b,file2,2.72\n2,c,file3,9.88\n"
class TestTable:
def test_table(self):
"""Can't create an Table without an id."""
def none_table():
t = Table(None)
with pytest.raises(Exception):
none_table()
def test_add_column(self):
"""Cannot add column with duplicate id."""
cs = [Column('1'), Column('2')]
t = Table('foo', columns=cs)
def add_dupe():
t.add_column(Column('2'))
assert cs == t.columns
with pytest.raises(PbReportError):
add_dupe()
def test_append_data(self):
"""Append data to columns by index."""
cs = [Column('1'), Column('2')]
t = Table('foo', columns=cs)
t.append_data(0, 'whatev')
t.append_data(0, 'huh')
t.append_data(1, 'ernie')
t.append_data(1, 'bert')
assert ['whatev', 'huh'] == t.columns[0].values
assert ['ernie', 'bert'] == t.columns[1].values
def test_add_data_by_column_id(self):
"""Added data values by column identifier."""
columns = [Column('one'), Column('two')]
table = Table('mytable', columns=columns)
datum = {'one': 12.0, 'two': 1234.0}
for k, v in datum.items():
table.add_data_by_column_id(k, v)
assert 12.0 in table.columns[0].values
assert 1234.0 in table.columns[1].values
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