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test_tablib.py
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test_tablib.py
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#!/usr/bin/env python
# -*- coding: utf-8 -*-
"""Tests for Tablib."""
from __future__ import unicode_literals
import datetime
import doctest
import json
import sys
import unittest
from uuid import uuid4
import tablib
from tablib.compat import markup, unicode, is_py3
from tablib.core import Row
from tablib.formats import csv as csv_format
class TablibTestCase(unittest.TestCase):
"""Tablib test cases."""
def setUp(self):
"""Create simple data set with headers."""
global data, book
data = tablib.Dataset()
book = tablib.Databook()
self.headers = ('first_name', 'last_name', 'gpa')
self.john = ('John', 'Adams', 90)
self.george = ('George', 'Washington', 67)
self.tom = ('Thomas', 'Jefferson', 50)
self.founders = tablib.Dataset(headers=self.headers, title='Founders')
self.founders.append(self.john)
self.founders.append(self.george)
self.founders.append(self.tom)
def tearDown(self):
"""Teardown."""
pass
def test_empty_append(self):
"""Verify append() correctly adds tuple with no headers."""
new_row = (1, 2, 3)
data.append(new_row)
# Verify width/data
self.assertTrue(data.width == len(new_row))
self.assertTrue(data[0] == new_row)
def test_empty_append_with_headers(self):
"""Verify append() correctly detects mismatch of number of
headers and data.
"""
data.headers = ['first', 'second']
new_row = (1, 2, 3, 4)
self.assertRaises(tablib.InvalidDimensions, data.append, new_row)
def test_set_headers_with_incorrect_dimension(self):
"""Verify headers correctly detects mismatch of number of
headers and data.
"""
data.append(self.john)
def set_header_callable():
data.headers = ['first_name']
self.assertRaises(tablib.InvalidDimensions, set_header_callable)
def test_add_column(self):
"""Verify adding column works with/without headers."""
data.append(['kenneth'])
data.append(['bessie'])
new_col = ['reitz', 'monke']
data.append_col(new_col)
self.assertEqual(data[0], ('kenneth', 'reitz'))
self.assertEqual(data.width, 2)
# With Headers
data.headers = ('fname', 'lname')
new_col = [21, 22]
data.append_col(new_col, header='age')
self.assertEqual(data['age'], new_col)
def test_add_column_no_data_no_headers(self):
"""Verify adding new column with no headers."""
new_col = ('reitz', 'monke')
data.append_col(new_col)
self.assertEqual(data[0], tuple([new_col[0]]))
self.assertEqual(data.width, 1)
self.assertEqual(data.height, len(new_col))
def test_add_column_with_header_ignored(self):
"""Verify append_col() ignores the header if data.headers has
not previously been set
"""
new_col = ('reitz', 'monke')
data.append_col(new_col, header='first_name')
self.assertEqual(data[0], tuple([new_col[0]]))
self.assertEqual(data.width, 1)
self.assertEqual(data.height, len(new_col))
self.assertEqual(data.headers, None)
def test_add_column_with_header_and_headers_only_exist(self):
"""Verify append_col() with header correctly detects mismatch when
headers exist but there is no existing row data
"""
data.headers = ['first_name']
# no data
new_col = ('allen')
def append_col_callable():
data.append_col(new_col, header='middle_name')
self.assertRaises(tablib.InvalidDimensions, append_col_callable)
def test_add_column_with_header_and_data_exists(self):
"""Verify append_col() works when headers and rows exists"""
data.headers = self.headers
data.append(self.john)
new_col = [10];
data.append_col(new_col, header='age')
self.assertEqual(data.height, 1)
self.assertEqual(data.width, len(self.john) + 1)
self.assertEqual(data['age'], new_col)
self.assertEqual(len(data.headers), len(self.headers) + 1)
def test_add_callable_column(self):
"""Verify adding column with values specified as callable."""
new_col = lambda x: x[0]
self.founders.append_col(new_col, header='first_again')
def test_header_slicing(self):
"""Verify slicing by headers."""
self.assertEqual(self.founders['first_name'],
[self.john[0], self.george[0], self.tom[0]])
self.assertEqual(self.founders['last_name'],
[self.john[1], self.george[1], self.tom[1]])
self.assertEqual(self.founders['gpa'],
[self.john[2], self.george[2], self.tom[2]])
def test_get_col(self):
"""Verify getting columns by index"""
self.assertEqual(
self.founders.get_col(list(self.headers).index('first_name')),
[self.john[0], self.george[0], self.tom[0]])
self.assertEqual(
self.founders.get_col(list(self.headers).index('last_name')),
[self.john[1], self.george[1], self.tom[1]])
self.assertEqual(
self.founders.get_col(list(self.headers).index('gpa')),
[self.john[2], self.george[2], self.tom[2]])
def test_data_slicing(self):
"""Verify slicing by data."""
# Slice individual rows
self.assertEqual(self.founders[0], self.john)
self.assertEqual(self.founders[:1], [self.john])
self.assertEqual(self.founders[1:2], [self.george])
self.assertEqual(self.founders[-1], self.tom)
self.assertEqual(self.founders[3:], [])
# Slice multiple rows
self.assertEqual(self.founders[:], [self.john, self.george, self.tom])
self.assertEqual(self.founders[0:2], [self.john, self.george])
self.assertEqual(self.founders[1:3], [self.george, self.tom])
self.assertEqual(self.founders[2:], [self.tom])
def test_row_slicing(self):
"""Verify Row's __getslice__ method. Issue #184."""
john = Row(self.john)
self.assertEqual(john[:], list(self.john[:]))
self.assertEqual(john[0:], list(self.john[0:]))
self.assertEqual(john[:2], list(self.john[:2]))
self.assertEqual(john[0:2], list(self.john[0:2]))
self.assertEqual(john[0:-1], list(self.john[0:-1]))
def test_delete(self):
"""Verify deleting from dataset works."""
# Delete from front of object
del self.founders[0]
self.assertEqual(self.founders[:], [self.george, self.tom])
# Verify dimensions, width should NOT change
self.assertEqual(self.founders.height, 2)
self.assertEqual(self.founders.width, 3)
# Delete from back of object
del self.founders[1]
self.assertEqual(self.founders[:], [self.george])
# Verify dimensions, width should NOT change
self.assertEqual(self.founders.height, 1)
self.assertEqual(self.founders.width, 3)
# Delete from invalid index
self.assertRaises(IndexError, self.founders.__delitem__, 3)
def test_json_export(self):
"""Verify exporting dataset object as JSON"""
address_id = uuid4()
headers = self.headers + ('address_id',)
founders = tablib.Dataset(headers=headers, title='Founders')
founders.append(('John', 'Adams', 90, address_id))
founders_json = founders.export('json')
expected_json = (
'[{"first_name": "John", "last_name": "Adams", "gpa": 90, '
'"address_id": "%s"}]' % str(address_id)
)
self.assertEqual(founders_json, expected_json)
def test_csv_export(self):
"""Verify exporting dataset object as CSV."""
# Build up the csv string with headers first, followed by each row
csv = ''
for col in self.headers:
csv += col + ','
csv = csv.strip(',') + '\r\n'
for founder in self.founders:
for col in founder:
csv += str(col) + ','
csv = csv.strip(',') + '\r\n'
self.assertEqual(csv, self.founders.csv)
def test_tsv_export(self):
"""Verify exporting dataset object as TSV."""
# Build up the tsv string with headers first, followed by each row
tsv = ''
for col in self.headers:
tsv += col + '\t'
tsv = tsv.strip('\t') + '\r\n'
for founder in self.founders:
for col in founder:
tsv += str(col) + '\t'
tsv = tsv.strip('\t') + '\r\n'
self.assertEqual(tsv, self.founders.tsv)
def test_html_export(self):
"""HTML export"""
html = markup.page()
html.table.open()
html.thead.open()
html.tr(markup.oneliner.th(self.founders.headers))
html.thead.close()
for founder in self.founders:
html.tr(markup.oneliner.td(founder))
html.table.close()
html = str(html)
self.assertEqual(html, self.founders.html)
def test_html_export_none_value(self):
"""HTML export"""
html = markup.page()
html.table.open()
html.thead.open()
html.tr(markup.oneliner.th(['foo', '', 'bar']))
html.thead.close()
html.tr(markup.oneliner.td(['foo', '', 'bar']))
html.table.close()
html = str(html)
headers = ['foo', None, 'bar'];
d = tablib.Dataset(['foo', None, 'bar'], headers=headers)
self.assertEqual(html, d.html)
def test_jira_export(self):
expected = """||first_name||last_name||gpa||
|John|Adams|90|
|George|Washington|67|
|Thomas|Jefferson|50|"""
self.assertEqual(expected, self.founders.jira)
def test_jira_export_no_headers(self):
self.assertEqual('|a|b|c|', tablib.Dataset(['a', 'b', 'c']).jira)
def test_jira_export_none_and_empty_values(self):
self.assertEqual('| | |c|', tablib.Dataset(['', None, 'c']).jira)
def test_jira_export_empty_dataset(self):
self.assertTrue(tablib.Dataset().jira is not None)
def test_latex_export(self):
"""LaTeX export"""
expected = """\
% Note: add \\usepackage{booktabs} to your preamble
%
\\begin{table}[!htbp]
\\centering
\\caption{Founders}
\\begin{tabular}{lrr}
\\toprule
first\\_name & last\\_name & gpa \\\\
\\cmidrule(r){1-1} \\cmidrule(lr){2-2} \\cmidrule(l){3-3}
John & Adams & 90 \\\\
George & Washington & 67 \\\\
Thomas & Jefferson & 50 \\\\
\\bottomrule
\\end{tabular}
\\end{table}
"""
output = self.founders.latex
self.assertEqual(output, expected)
def test_latex_export_empty_dataset(self):
self.assertTrue(tablib.Dataset().latex is not None)
def test_latex_export_no_headers(self):
d = tablib.Dataset()
d.append(('one', 'two', 'three'))
self.assertTrue('one' in d.latex)
def test_latex_export_caption(self):
d = tablib.Dataset()
d.append(('one', 'two', 'three'))
self.assertFalse('caption' in d.latex)
d.title = 'Title'
self.assertTrue('\\caption{Title}' in d.latex)
def test_latex_export_none_values(self):
headers = ['foo', None, 'bar']
d = tablib.Dataset(['foo', None, 'bar'], headers=headers)
output = d.latex
self.assertTrue('foo' in output)
self.assertFalse('None' in output)
def test_latex_escaping(self):
d = tablib.Dataset(['~', '^'])
output = d.latex
self.assertFalse('~' in output)
self.assertTrue('textasciitilde' in output)
self.assertFalse('^' in output)
self.assertTrue('textasciicircum' in output)
def test_str_no_columns(self):
d = tablib.Dataset(['a', 1], ['b', 2], ['c', 3])
output = '%s' % d
self.assertEqual(output.splitlines(), [
'a|1',
'b|2',
'c|3'
])
def test_unicode_append(self):
"""Passes in a single unicode character and exports."""
if is_py3:
new_row = ('å', 'é')
else:
exec ("new_row = (u'å', u'é')")
data.append(new_row)
data.json
data.yaml
data.csv
data.tsv
data.xls
data.xlsx
data.ods
data.html
data.jira
data.latex
data.df
data.rst
def test_datetime_append(self):
"""Passes in a single datetime and a single date and exports."""
new_row = (
datetime.datetime.now(),
datetime.datetime.today(),
)
data.append(new_row)
data.json
data.yaml
data.csv
data.tsv
data.xls
data.xlsx
data.ods
data.html
data.jira
data.latex
data.rst
def test_book_export_no_exceptions(self):
"""Test that various exports don't error out."""
book = tablib.Databook()
book.add_sheet(data)
book.json
book.yaml
book.xls
book.xlsx
book.ods
book.html
data.rst
def test_json_import_set(self):
"""Generate and import JSON set serialization."""
data.append(self.john)
data.append(self.george)
data.headers = self.headers
_json = data.json
data.json = _json
self.assertEqual(json.loads(_json), json.loads(data.json))
def test_json_import_book(self):
"""Generate and import JSON book serialization."""
data.append(self.john)
data.append(self.george)
data.headers = self.headers
book.add_sheet(data)
_json = book.json
book.json = _json
self.assertEqual(json.loads(_json), json.loads(book.json))
def test_yaml_import_set(self):
"""Generate and import YAML set serialization."""
data.append(self.john)
data.append(self.george)
data.headers = self.headers
_yaml = data.yaml
data.yaml = _yaml
self.assertEqual(_yaml, data.yaml)
def test_yaml_import_book(self):
"""Generate and import YAML book serialization."""
data.append(self.john)
data.append(self.george)
data.headers = self.headers
book.add_sheet(data)
_yaml = book.yaml
book.yaml = _yaml
self.assertEqual(_yaml, book.yaml)
def test_csv_import_set(self):
"""Generate and import CSV set serialization."""
data.append(self.john)
data.append(self.george)
data.headers = self.headers
_csv = data.csv
data.csv = _csv
self.assertEqual(_csv, data.csv)
def test_csv_import_set_semicolons(self):
"""Test for proper output with semicolon separated CSV."""
data.append(self.john)
data.append(self.george)
data.headers = self.headers
_csv = data.get_csv(delimiter=';')
data.set_csv(_csv, delimiter=';')
self.assertEqual(_csv, data.get_csv(delimiter=';'))
def test_csv_import_set_with_spaces(self):
"""Generate and import CSV set serialization when row values have
spaces."""
data.append(('Bill Gates', 'Microsoft'))
data.append(('Steve Jobs', 'Apple'))
data.headers = ('Name', 'Company')
_csv = data.csv
data.csv = _csv
self.assertEqual(_csv, data.csv)
def test_csv_import_set_semicolon_with_spaces(self):
"""Generate and import semicolon separated CSV set serialization when row values have
spaces."""
data.append(('Bill Gates', 'Microsoft'))
data.append(('Steve Jobs', 'Apple'))
data.headers = ('Name', 'Company')
_csv = data.get_csv(delimiter=';')
data.set_csv(_csv, delimiter=';')
self.assertEqual(_csv, data.get_csv(delimiter=';'))
def test_csv_import_set_with_newlines(self):
"""Generate and import CSV set serialization when row values have
newlines."""
data.append(('Markdown\n=======',
'A cool language\n\nwith paragraphs'))
data.append(('reStructedText\n==============',
'Another cool language\n\nwith paragraphs'))
data.headers = ('title', 'body')
_csv = data.csv
data.csv = _csv
self.assertEqual(_csv, data.csv)
def test_csv_import_set_with_unicode_str(self):
"""Import CSV set with non-ascii characters in unicode literal"""
csv_text = (
"id,givenname,surname,loginname,email,pref_firstname,pref_lastname\n"
"13765,Ævar,Arnfjörð,testing,[email protected],Ævar,Arnfjörð"
)
data.csv = csv_text
self.assertEqual(data.width, 7)
def test_tsv_import_set(self):
"""Generate and import TSV set serialization."""
data.append(self.john)
data.append(self.george)
data.headers = self.headers
_tsv = data.tsv
data.tsv = _tsv
self.assertEqual(_tsv, data.tsv)
def test_dbf_import_set(self):
data.append(self.john)
data.append(self.george)
data.headers = self.headers
_dbf = data.dbf
data.dbf = _dbf
# self.assertEqual(_dbf, data.dbf)
try:
self.assertEqual(_dbf, data.dbf)
except AssertionError:
index = 0
so_far = ''
for reg_char, data_char in zip(_dbf, data.dbf):
so_far += chr(data_char)
if reg_char != data_char and index not in [1, 2, 3]:
raise AssertionError('Failing at char %s: %s vs %s %s' % (
index, reg_char, data_char, so_far))
index += 1
def test_dbf_export_set(self):
"""Test DBF import."""
data.append(self.john)
data.append(self.george)
data.append(self.tom)
data.headers = self.headers
_regression_dbf = (b'\x03r\x06\x06\x03\x00\x00\x00\x81\x00\xab\x00\x00'
b'\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00'
b'\x00\x00\x00FIRST_NAME\x00C\x00\x00\x00\x00P\x00\x00\x00\x00\x00'
b'\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00LAST_NAME\x00\x00C\x00'
b'\x00\x00\x00P\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00'
b'\x00\x00GPA\x00\x00\x00\x00\x00\x00\x00\x00N\x00\x00\x00\x00\n'
b'\x08\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\r'
)
_regression_dbf += b' John' + (b' ' * 75)
_regression_dbf += b' Adams' + (b' ' * 74)
_regression_dbf += b' 90.0000000'
_regression_dbf += b' George' + (b' ' * 73)
_regression_dbf += b' Washington' + (b' ' * 69)
_regression_dbf += b' 67.0000000'
_regression_dbf += b' Thomas' + (b' ' * 73)
_regression_dbf += b' Jefferson' + (b' ' * 70)
_regression_dbf += b' 50.0000000'
_regression_dbf += b'\x1a'
if is_py3:
# If in python3, decode regression string to binary.
# _regression_dbf = bytes(_regression_dbf, 'utf-8')
# _regression_dbf = _regression_dbf.replace(b'\n', b'\r')
pass
try:
self.assertEqual(_regression_dbf, data.dbf)
except AssertionError:
index = 0
found_so_far = ''
for reg_char, data_char in zip(_regression_dbf, data.dbf):
# found_so_far += chr(data_char)
if reg_char != data_char and index not in [1, 2, 3]:
raise AssertionError(
'Failing at char %s: %s vs %s (found %s)' % (
index, reg_char, data_char, found_so_far))
index += 1
def test_dbf_format_detect(self):
"""Test the DBF format detection."""
_dbf = (b'\x03r\x06\x03\x03\x00\x00\x00\x81\x00\xab\x00\x00'
b'\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00'
b'\x00\x00\x00FIRST_NAME\x00C\x00\x00\x00\x00P\x00\x00\x00\x00\x00'
b'\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00LAST_NAME\x00\x00C\x00'
b'\x00\x00\x00P\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00'
b'\x00\x00GPA\x00\x00\x00\x00\x00\x00\x00\x00N\x00\x00\x00\x00\n'
b'\x08\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\r'
)
_dbf += b' John' + (b' ' * 75)
_dbf += b' Adams' + (b' ' * 74)
_dbf += b' 90.0000000'
_dbf += b' George' + (b' ' * 73)
_dbf += b' Washington' + (b' ' * 69)
_dbf += b' 67.0000000'
_dbf += b' Thomas' + (b' ' * 73)
_dbf += b' Jefferson' + (b' ' * 70)
_dbf += b' 50.0000000'
_dbf += b'\x1a'
_yaml = '- {age: 90, first_name: John, last_name: Adams}'
_tsv = 'foo\tbar'
_csv = '1,2,3\n4,5,6\n7,8,9\n'
_json = '[{"last_name": "Adams","age": 90,"first_name": "John"}]'
_bunk = (
'¡¡¡¡¡¡¡¡£™∞¢£§∞§¶•¶ª∞¶•ªº••ª–º§•†•§º¶•†¥ª–º•§ƒø¥¨©πƒø†ˆ¥ç©¨√øˆ¥≈†ƒ¥ç©ø¨çˆ¥ƒçø¶'
)
self.assertTrue(tablib.formats.dbf.detect(_dbf))
self.assertFalse(tablib.formats.dbf.detect(_yaml))
self.assertFalse(tablib.formats.dbf.detect(_tsv))
self.assertFalse(tablib.formats.dbf.detect(_csv))
self.assertFalse(tablib.formats.dbf.detect(_json))
self.assertFalse(tablib.formats.dbf.detect(_bunk))
def test_csv_format_detect(self):
"""Test CSV format detection."""
_csv = (
'1,2,3\n'
'4,5,6\n'
'7,8,9\n'
)
_bunk = (
'¡¡¡¡¡¡¡¡£™∞¢£§∞§¶•¶ª∞¶•ªº••ª–º§•†•§º¶•†¥ª–º•§ƒø¥¨©πƒø†ˆ¥ç©¨√øˆ¥≈†ƒ¥ç©ø¨çˆ¥ƒçø¶'
)
self.assertTrue(tablib.formats.csv.detect(_csv))
self.assertFalse(tablib.formats.csv.detect(_bunk))
def test_tsv_format_detect(self):
"""Test TSV format detection."""
_tsv = (
'1\t2\t3\n'
'4\t5\t6\n'
'7\t8\t9\n'
)
_bunk = (
'¡¡¡¡¡¡¡¡£™∞¢£§∞§¶•¶ª∞¶•ªº••ª–º§•†•§º¶•†¥ª–º•§ƒø¥¨©πƒø†ˆ¥ç©¨√øˆ¥≈†ƒ¥ç©ø¨çˆ¥ƒçø¶'
)
self.assertTrue(tablib.formats.tsv.detect(_tsv))
self.assertFalse(tablib.formats.tsv.detect(_bunk))
def test_json_format_detect(self):
"""Test JSON format detection."""
_json = '[{"last_name": "Adams","age": 90,"first_name": "John"}]'
_bunk = (
'¡¡¡¡¡¡¡¡£™∞¢£§∞§¶•¶ª∞¶•ªº••ª–º§•†•§º¶•†¥ª–º•§ƒø¥¨©πƒø†ˆ¥ç©¨√øˆ¥≈†ƒ¥ç©ø¨çˆ¥ƒçø¶'
)
self.assertTrue(tablib.formats.json.detect(_json))
self.assertFalse(tablib.formats.json.detect(_bunk))
def test_yaml_format_detect(self):
"""Test YAML format detection."""
_yaml = '- {age: 90, first_name: John, last_name: Adams}'
_tsv = 'foo\tbar'
_bunk = (
'¡¡¡¡¡¡---///\n\n\n¡¡£™∞¢£§∞§¶•¶ª∞¶•ªº••ª–º§•†•§º¶•†¥ª–º•§ƒø¥¨©πƒø†ˆ¥ç©¨√øˆ¥≈†ƒ¥ç©ø¨çˆ¥ƒçø¶'
)
self.assertTrue(tablib.formats.yaml.detect(_yaml))
self.assertFalse(tablib.formats.yaml.detect(_bunk))
self.assertFalse(tablib.formats.yaml.detect(_tsv))
def test_auto_format_detect(self):
"""Test auto format detection."""
_yaml = '- {age: 90, first_name: John, last_name: Adams}'
_json = '[{"last_name": "Adams","age": 90,"first_name": "John"}]'
_csv = '1,2,3\n4,5,6\n7,8,9\n'
_tsv = '1\t2\t3\n4\t5\t6\n7\t8\t9\n'
_bunk = '¡¡¡¡¡¡---///\n\n\n¡¡£™∞¢£§∞§¶•¶ª∞¶•ªº••ª–º§•†•§º¶•†¥ª–º•§ƒø¥¨©πƒø†ˆ¥ç©¨√øˆ¥≈†ƒ¥ç©ø¨çˆ¥ƒçø¶'
self.assertEqual(tablib.detect_format(_yaml), 'yaml')
self.assertEqual(tablib.detect_format(_csv), 'csv')
self.assertEqual(tablib.detect_format(_tsv), 'tsv')
self.assertEqual(tablib.detect_format(_json), 'json')
self.assertEqual(tablib.detect_format(_bunk), None)
def test_transpose(self):
"""Transpose a dataset."""
transposed_founders = self.founders.transpose()
first_row = transposed_founders[0]
second_row = transposed_founders[1]
self.assertEqual(transposed_founders.headers,
["first_name", "John", "George", "Thomas"])
self.assertEqual(first_row,
("last_name", "Adams", "Washington", "Jefferson"))
self.assertEqual(second_row,
("gpa", 90, 67, 50))
def test_transpose_multiple_headers(self):
data = tablib.Dataset()
data.headers = ("first_name", "last_name", "age")
data.append(('John', 'Adams', 90))
data.append(('George', 'Washington', 67))
data.append(('John', 'Tyler', 71))
self.assertEqual(data.transpose().transpose().dict, data.dict)
def test_row_stacking(self):
"""Row stacking."""
to_join = tablib.Dataset(headers=self.founders.headers)
for row in self.founders:
to_join.append(row=row)
row_stacked = self.founders.stack(to_join)
for column in row_stacked.headers:
original_data = self.founders[column]
expected_data = original_data + original_data
self.assertEqual(row_stacked[column], expected_data)
def test_column_stacking(self):
"""Column stacking"""
to_join = tablib.Dataset(headers=self.founders.headers)
for row in self.founders:
to_join.append(row=row)
column_stacked = self.founders.stack_cols(to_join)
for index, row in enumerate(column_stacked):
original_data = self.founders[index]
expected_data = original_data + original_data
self.assertEqual(row, expected_data)
self.assertEqual(column_stacked[0],
("John", "Adams", 90, "John", "Adams", 90))
def test_sorting(self):
"""Sort columns."""
sorted_data = self.founders.sort(col="first_name")
self.assertEqual(sorted_data.title, 'Founders')
first_row = sorted_data[0]
second_row = sorted_data[2]
third_row = sorted_data[1]
expected_first = self.founders[1]
expected_second = self.founders[2]
expected_third = self.founders[0]
self.assertEqual(first_row, expected_first)
self.assertEqual(second_row, expected_second)
self.assertEqual(third_row, expected_third)
def test_remove_duplicates(self):
"""Unique Rows."""
self.founders.append(self.john)
self.founders.append(self.george)
self.founders.append(self.tom)
self.assertEqual(self.founders[0], self.founders[3])
self.assertEqual(self.founders[1], self.founders[4])
self.assertEqual(self.founders[2], self.founders[5])
self.assertEqual(self.founders.height, 6)
self.founders.remove_duplicates()
self.assertEqual(self.founders[0], self.john)
self.assertEqual(self.founders[1], self.george)
self.assertEqual(self.founders[2], self.tom)
self.assertEqual(self.founders.height, 3)
def test_wipe(self):
"""Purge a dataset."""
new_row = (1, 2, 3)
data.append(new_row)
# Verify width/data
self.assertTrue(data.width == len(new_row))
self.assertTrue(data[0] == new_row)
data.wipe()
new_row = (1, 2, 3, 4)
data.append(new_row)
self.assertTrue(data.width == len(new_row))
self.assertTrue(data[0] == new_row)
def test_subset(self):
"""Create a subset of a dataset"""
rows = (0, 2)
columns = ('first_name', 'gpa')
data.headers = self.headers
data.append(self.john)
data.append(self.george)
data.append(self.tom)
# Verify data is truncated
subset = data.subset(rows=rows, cols=columns)
self.assertEqual(type(subset), tablib.Dataset)
self.assertEqual(subset.headers, list(columns))
self.assertEqual(subset._data[0].list, ['John', 90])
self.assertEqual(subset._data[1].list, ['Thomas', 50])
def test_formatters(self):
"""Confirm formatters are being triggered."""
def _formatter(cell_value):
return str(cell_value).upper()
self.founders.add_formatter('last_name', _formatter)
for name in [r['last_name'] for r in self.founders.dict]:
self.assertTrue(name.isupper())
def test_unicode_csv(self):
"""Check if unicode in csv export doesn't raise."""
data = tablib.Dataset()
if sys.version_info[0] > 2:
data.append(['\xfc', '\xfd'])
else:
exec ("data.append([u'\xfc', u'\xfd'])")
data.csv
def test_csv_column_select(self):
"""Build up a CSV and test selecting a column"""
data = tablib.Dataset()
data.csv = self.founders.csv
headers = data.headers
self.assertTrue(isinstance(headers[0], unicode))
orig_first_name = self.founders[self.headers[0]]
csv_first_name = data[headers[0]]
self.assertEqual(orig_first_name, csv_first_name)
def test_csv_column_delete(self):
"""Build up a CSV and test deleting a column"""
data = tablib.Dataset()
data.csv = self.founders.csv
target_header = data.headers[0]
self.assertTrue(isinstance(target_header, unicode))
del data[target_header]
self.assertTrue(target_header not in data.headers)
def test_csv_column_sort(self):
"""Build up a CSV and test sorting a column by name"""
data = tablib.Dataset()
data.csv = self.founders.csv
orig_target_header = self.founders.headers[1]
target_header = data.headers[1]
self.founders.sort(orig_target_header)
data.sort(target_header)
self.assertEqual(self.founders[orig_target_header], data[target_header])
def test_unicode_renders_markdown_table(self):
# add another entry to test right field width for
# integer
self.founders.append(('Old', 'Man', 100500))
self.assertEqual('first_name|last_name |gpa ', unicode(self.founders).split('\n')[0])
def test_databook_add_sheet_accepts_only_dataset_instances(self):
class NotDataset(object):
def append(self, item):
pass
dataset = NotDataset()
dataset.append(self.john)
self.assertRaises(tablib.InvalidDatasetType, book.add_sheet, dataset)
def test_databook_add_sheet_accepts_dataset_subclasses(self):
class DatasetSubclass(tablib.Dataset):
pass
# just checking if subclass of tablib.Dataset can be added to Databook
dataset = DatasetSubclass()
dataset.append(self.john)
dataset.append(self.tom)
try:
book.add_sheet(dataset)
except tablib.InvalidDatasetType:
self.fail("Subclass of tablib.Dataset should be accepted by Databook.add_sheet")
def test_csv_formatter_support_kwargs(self):
"""Test CSV import and export with formatter configuration."""
data.append(self.john)
data.append(self.george)
data.headers = self.headers
expected = 'first_name;last_name;gpa\nJohn;Adams;90\nGeorge;Washington;67\n'
kwargs = dict(delimiter=';', lineterminator='\n')
_csv = data.export('csv', **kwargs)
self.assertEqual(expected, _csv)
# the import works but consider default delimiter=','
d1 = tablib.import_set(_csv, format="csv")
self.assertEqual(1, len(d1.headers))