mirror of
https://github.com/kennethreitz/tablib.git
synced 2026-06-05 15:00:19 +00:00
Claude Paroz
1054 lines
33 KiB
Python
Executable File
1054 lines
33 KiB
Python
Executable File
#!/usr/bin/env python
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# -*- coding: utf-8 -*-
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"""Tests for Tablib."""
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from __future__ import unicode_literals
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import datetime
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import doctest
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import json
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import sys
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import unittest
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from uuid import uuid4
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from MarkupPy import markup
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import tablib
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from tablib.compat import unicode, is_py3
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from tablib.core import Row
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from tablib.formats import _csv as csv_module
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class TablibTestCase(unittest.TestCase):
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"""Tablib test cases."""
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def setUp(self):
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"""Create simple data set with headers."""
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global data, book
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data = tablib.Dataset()
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book = tablib.Databook()
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self.headers = ('first_name', 'last_name', 'gpa')
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self.john = ('John', 'Adams', 90)
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self.george = ('George', 'Washington', 67)
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self.tom = ('Thomas', 'Jefferson', 50)
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self.founders = tablib.Dataset(headers=self.headers, title='Founders')
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self.founders.append(self.john)
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self.founders.append(self.george)
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self.founders.append(self.tom)
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def tearDown(self):
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"""Teardown."""
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pass
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def test_empty_append(self):
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"""Verify append() correctly adds tuple with no headers."""
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new_row = (1, 2, 3)
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data.append(new_row)
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# Verify width/data
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self.assertTrue(data.width == len(new_row))
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self.assertTrue(data[0] == new_row)
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def test_empty_append_with_headers(self):
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"""Verify append() correctly detects mismatch of number of
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headers and data.
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"""
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data.headers = ['first', 'second']
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new_row = (1, 2, 3, 4)
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self.assertRaises(tablib.InvalidDimensions, data.append, new_row)
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def test_set_headers_with_incorrect_dimension(self):
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"""Verify headers correctly detects mismatch of number of
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headers and data.
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"""
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data.append(self.john)
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def set_header_callable():
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data.headers = ['first_name']
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self.assertRaises(tablib.InvalidDimensions, set_header_callable)
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def test_add_column(self):
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"""Verify adding column works with/without headers."""
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data.append(['kenneth'])
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data.append(['bessie'])
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new_col = ['reitz', 'monke']
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data.append_col(new_col)
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self.assertEqual(data[0], ('kenneth', 'reitz'))
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self.assertEqual(data.width, 2)
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# With Headers
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data.headers = ('fname', 'lname')
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new_col = [21, 22]
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data.append_col(new_col, header='age')
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self.assertEqual(data['age'], new_col)
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def test_add_column_no_data_no_headers(self):
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"""Verify adding new column with no headers."""
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new_col = ('reitz', 'monke')
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data.append_col(new_col)
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self.assertEqual(data[0], tuple([new_col[0]]))
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self.assertEqual(data.width, 1)
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self.assertEqual(data.height, len(new_col))
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def test_add_column_with_header_ignored(self):
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"""Verify append_col() ignores the header if data.headers has
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not previously been set
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"""
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new_col = ('reitz', 'monke')
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data.append_col(new_col, header='first_name')
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self.assertEqual(data[0], tuple([new_col[0]]))
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self.assertEqual(data.width, 1)
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self.assertEqual(data.height, len(new_col))
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self.assertEqual(data.headers, None)
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def test_add_column_with_header_and_headers_only_exist(self):
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"""Verify append_col() with header correctly detects mismatch when
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headers exist but there is no existing row data
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"""
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data.headers = ['first_name']
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# no data
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new_col = ('allen')
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def append_col_callable():
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data.append_col(new_col, header='middle_name')
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self.assertRaises(tablib.InvalidDimensions, append_col_callable)
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def test_add_column_with_header_and_data_exists(self):
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"""Verify append_col() works when headers and rows exists"""
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data.headers = self.headers
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data.append(self.john)
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new_col = [10]
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data.append_col(new_col, header='age')
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self.assertEqual(data.height, 1)
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self.assertEqual(data.width, len(self.john) + 1)
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self.assertEqual(data['age'], new_col)
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self.assertEqual(len(data.headers), len(self.headers) + 1)
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def test_add_callable_column(self):
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"""Verify adding column with values specified as callable."""
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new_col = lambda x: x[0]
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self.founders.append_col(new_col, header='first_again')
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def test_header_slicing(self):
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"""Verify slicing by headers."""
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self.assertEqual(self.founders['first_name'],
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[self.john[0], self.george[0], self.tom[0]])
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self.assertEqual(self.founders['last_name'],
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[self.john[1], self.george[1], self.tom[1]])
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self.assertEqual(self.founders['gpa'],
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[self.john[2], self.george[2], self.tom[2]])
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def test_get_col(self):
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"""Verify getting columns by index"""
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self.assertEqual(
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self.founders.get_col(list(self.headers).index('first_name')),
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[self.john[0], self.george[0], self.tom[0]])
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self.assertEqual(
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self.founders.get_col(list(self.headers).index('last_name')),
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[self.john[1], self.george[1], self.tom[1]])
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self.assertEqual(
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self.founders.get_col(list(self.headers).index('gpa')),
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[self.john[2], self.george[2], self.tom[2]])
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def test_data_slicing(self):
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"""Verify slicing by data."""
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# Slice individual rows
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self.assertEqual(self.founders[0], self.john)
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self.assertEqual(self.founders[:1], [self.john])
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self.assertEqual(self.founders[1:2], [self.george])
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self.assertEqual(self.founders[-1], self.tom)
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self.assertEqual(self.founders[3:], [])
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# Slice multiple rows
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self.assertEqual(self.founders[:], [self.john, self.george, self.tom])
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self.assertEqual(self.founders[0:2], [self.john, self.george])
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self.assertEqual(self.founders[1:3], [self.george, self.tom])
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self.assertEqual(self.founders[2:], [self.tom])
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def test_row_slicing(self):
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"""Verify Row's __getslice__ method. Issue #184."""
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john = Row(self.john)
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self.assertEqual(john[:], list(self.john[:]))
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self.assertEqual(john[0:], list(self.john[0:]))
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self.assertEqual(john[:2], list(self.john[:2]))
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self.assertEqual(john[0:2], list(self.john[0:2]))
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self.assertEqual(john[0:-1], list(self.john[0:-1]))
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def test_delete(self):
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"""Verify deleting from dataset works."""
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# Delete from front of object
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del self.founders[0]
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self.assertEqual(self.founders[:], [self.george, self.tom])
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# Verify dimensions, width should NOT change
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self.assertEqual(self.founders.height, 2)
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self.assertEqual(self.founders.width, 3)
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# Delete from back of object
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del self.founders[1]
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self.assertEqual(self.founders[:], [self.george])
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# Verify dimensions, width should NOT change
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self.assertEqual(self.founders.height, 1)
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self.assertEqual(self.founders.width, 3)
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# Delete from invalid index
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self.assertRaises(IndexError, self.founders.__delitem__, 3)
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def test_json_export(self):
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"""Verify exporting dataset object as JSON"""
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address_id = uuid4()
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headers = self.headers + ('address_id',)
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founders = tablib.Dataset(headers=headers, title='Founders')
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founders.append(('John', 'Adams', 90, address_id))
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founders_json = founders.export('json')
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expected_json = (
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'[{"first_name": "John", "last_name": "Adams", "gpa": 90, '
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'"address_id": "%s"}]' % str(address_id)
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)
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self.assertEqual(founders_json, expected_json)
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def test_csv_export(self):
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"""Verify exporting dataset object as CSV."""
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# Build up the csv string with headers first, followed by each row
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csv = ''
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for col in self.headers:
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csv += col + ','
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csv = csv.strip(',') + '\r\n'
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for founder in self.founders:
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for col in founder:
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csv += str(col) + ','
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csv = csv.strip(',') + '\r\n'
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self.assertEqual(csv, self.founders.csv)
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def test_csv_stream_export(self):
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"""Verify exporting dataset object as CSV from file object."""
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# Build up the csv string with headers first, followed by each row
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csv = ''
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for col in self.headers:
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csv += col + ','
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csv = csv.strip(',') + '\r\n'
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for founder in self.founders:
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for col in founder:
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csv += str(col) + ','
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csv = csv.strip(',') + '\r\n'
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csv_stream = csv_module.export_stream_set(self.founders)
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self.assertEqual(csv, csv_stream.getvalue())
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def test_tsv_export(self):
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"""Verify exporting dataset object as TSV."""
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# Build up the tsv string with headers first, followed by each row
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tsv = ''
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for col in self.headers:
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tsv += col + '\t'
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tsv = tsv.strip('\t') + '\r\n'
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for founder in self.founders:
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for col in founder:
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tsv += str(col) + '\t'
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tsv = tsv.strip('\t') + '\r\n'
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self.assertEqual(tsv, self.founders.tsv)
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def test_html_export(self):
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"""HTML export"""
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html = markup.page()
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html.table.open()
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html.thead.open()
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html.tr(markup.oneliner.th(self.founders.headers))
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html.thead.close()
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for founder in self.founders:
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html.tr(markup.oneliner.td(founder))
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html.table.close()
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html = str(html)
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self.assertEqual(html, self.founders.html)
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def test_html_export_none_value(self):
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"""HTML export"""
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html = markup.page()
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html.table.open()
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html.thead.open()
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html.tr(markup.oneliner.th(['foo', '', 'bar']))
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html.thead.close()
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html.tr(markup.oneliner.td(['foo', '', 'bar']))
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html.table.close()
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html = str(html)
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headers = ['foo', None, 'bar'];
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d = tablib.Dataset(['foo', None, 'bar'], headers=headers)
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self.assertEqual(html, d.html)
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def test_jira_export(self):
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expected = """||first_name||last_name||gpa||
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|John|Adams|90|
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|George|Washington|67|
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|Thomas|Jefferson|50|"""
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self.assertEqual(expected, self.founders.jira)
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def test_jira_export_no_headers(self):
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self.assertEqual('|a|b|c|', tablib.Dataset(['a', 'b', 'c']).jira)
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def test_jira_export_none_and_empty_values(self):
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self.assertEqual('| | |c|', tablib.Dataset(['', None, 'c']).jira)
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def test_jira_export_empty_dataset(self):
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self.assertTrue(tablib.Dataset().jira is not None)
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def test_latex_export(self):
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"""LaTeX export"""
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expected = """\
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% Note: add \\usepackage{booktabs} to your preamble
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%
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\\begin{table}[!htbp]
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\\centering
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\\caption{Founders}
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\\begin{tabular}{lrr}
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\\toprule
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first\\_name & last\\_name & gpa \\\\
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\\cmidrule(r){1-1} \\cmidrule(lr){2-2} \\cmidrule(l){3-3}
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John & Adams & 90 \\\\
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George & Washington & 67 \\\\
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Thomas & Jefferson & 50 \\\\
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\\bottomrule
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\\end{tabular}
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\\end{table}
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"""
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output = self.founders.latex
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self.assertEqual(output, expected)
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def test_latex_export_empty_dataset(self):
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self.assertTrue(tablib.Dataset().latex is not None)
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def test_latex_export_no_headers(self):
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d = tablib.Dataset()
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d.append(('one', 'two', 'three'))
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self.assertTrue('one' in d.latex)
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def test_latex_export_caption(self):
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d = tablib.Dataset()
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d.append(('one', 'two', 'three'))
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self.assertFalse('caption' in d.latex)
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d.title = 'Title'
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self.assertTrue('\\caption{Title}' in d.latex)
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def test_latex_export_none_values(self):
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headers = ['foo', None, 'bar']
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d = tablib.Dataset(['foo', None, 'bar'], headers=headers)
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output = d.latex
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self.assertTrue('foo' in output)
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self.assertFalse('None' in output)
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def test_latex_escaping(self):
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d = tablib.Dataset(['~', '^'])
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output = d.latex
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self.assertFalse('~' in output)
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self.assertTrue('textasciitilde' in output)
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self.assertFalse('^' in output)
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self.assertTrue('textasciicircum' in output)
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def test_str_no_columns(self):
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d = tablib.Dataset(['a', 1], ['b', 2], ['c', 3])
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output = '%s' % d
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self.assertEqual(output.splitlines(), [
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'a|1',
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'b|2',
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'c|3'
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])
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def test_unicode_append(self):
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"""Passes in a single unicode character and exports."""
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if is_py3:
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new_row = ('å', 'é')
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else:
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exec ("new_row = (u'å', u'é')")
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data.append(new_row)
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data.json
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data.yaml
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data.csv
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data.tsv
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data.xls
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data.xlsx
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data.ods
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data.html
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data.jira
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data.latex
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data.df
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data.rst
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def test_datetime_append(self):
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"""Passes in a single datetime and a single date and exports."""
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new_row = (
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datetime.datetime.now(),
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datetime.datetime.today(),
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)
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data.append(new_row)
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data.json
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data.yaml
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data.csv
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data.tsv
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data.xls
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data.xlsx
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data.ods
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data.html
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data.jira
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data.latex
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data.rst
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def test_book_export_no_exceptions(self):
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"""Test that various exports don't error out."""
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book = tablib.Databook()
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book.add_sheet(data)
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book.json
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book.yaml
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book.xls
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book.xlsx
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book.ods
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book.html
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data.rst
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def test_json_import_set(self):
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"""Generate and import JSON set serialization."""
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data.append(self.john)
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data.append(self.george)
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data.headers = self.headers
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_json = data.json
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data.json = _json
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self.assertEqual(json.loads(_json), json.loads(data.json))
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def test_json_import_book(self):
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"""Generate and import JSON book serialization."""
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data.append(self.john)
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data.append(self.george)
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data.headers = self.headers
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book.add_sheet(data)
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_json = book.json
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book.json = _json
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self.assertEqual(json.loads(_json), json.loads(book.json))
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def test_yaml_import_set(self):
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"""Generate and import YAML set serialization."""
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data.append(self.john)
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data.append(self.george)
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data.headers = self.headers
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_yaml = data.yaml
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data.yaml = _yaml
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self.assertEqual(_yaml, data.yaml)
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def test_yaml_import_book(self):
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"""Generate and import YAML book serialization."""
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data.append(self.john)
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data.append(self.george)
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data.headers = self.headers
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book.add_sheet(data)
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_yaml = book.yaml
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book.yaml = _yaml
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self.assertEqual(_yaml, book.yaml)
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def test_csv_import_set(self):
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"""Generate and import CSV set serialization."""
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data.append(self.john)
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data.append(self.george)
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data.headers = self.headers
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_csv = data.csv
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data.csv = _csv
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self.assertEqual(_csv, data.csv)
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def test_csv_import_set_semicolons(self):
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"""Test for proper output with semicolon separated CSV."""
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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,test@example.com,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))
|
|
|
|
d2 = tablib.import_set(_csv, format="csv", **kwargs)
|
|
self.assertEqual(3, len(d2.headers))
|
|
|
|
def test_databook_formatter_support_kwargs(self):
|
|
"""Test XLSX export with formatter configuration."""
|
|
self.founders.export('xlsx', freeze_panes=False)
|
|
|
|
def test_databook_formatter_with_new_lines(self):
|
|
"""Test XLSX export with new line in content."""
|
|
self.founders.append(('First\nSecond', 'Name', 42))
|
|
self.founders.export('xlsx')
|
|
|
|
def test_rst_force_grid(self):
|
|
data.append(self.john)
|
|
data.append(self.george)
|
|
data.headers = self.headers
|
|
|
|
simple = tablib.formats._rst.export_set(data)
|
|
grid = tablib.formats._rst.export_set(data, force_grid=True)
|
|
self.assertNotEqual(simple, grid)
|
|
self.assertNotIn('+', simple)
|
|
self.assertIn('+', grid)
|
|
|
|
|
|
class DocTests(unittest.TestCase):
|
|
|
|
def test_rst_formatter_doctests(self):
|
|
results = doctest.testmod(tablib.formats._rst)
|
|
self.assertEqual(results.failed, 0)
|
|
|
|
|
|
if __name__ == '__main__':
|
|
unittest.main()
|