<reponame>globusgenomics/galaxy
import nose

import pandas
from pandas.util.testing import network
from pandas.util.testing import assert_frame_equal
from numpy.testing.decorators import slow
from pandas.io.wb import search, download


@slow
@network
def test_wdi_search():
    raise nose.SkipTest
    expected = {u'id': {2634: u'GDPPCKD',
                        4649: u'NY.GDP.PCAP.KD',
                        4651: u'NY.GDP.PCAP.KN',
                        4653: u'NY.GDP.PCAP.PP.KD'},
                u'name': {2634: u'GDP per Capita, constant US$, millions',
                          4649: u'GDP per capita (constant 2000 US$)',
                          4651: u'GDP per capita (constant LCU)',
                          4653: u'GDP per capita, PPP (constant 2005 international $)'}}
    result = search('gdp.*capita.*constant').ix[:, :2]
    expected = pandas.DataFrame(expected)
    expected.index = result.index
    assert_frame_equal(result, expected)


@slow
@network
def test_wdi_download():
    raise nose.SkipTest
    expected = {'GDPPCKN': {(u'United States', u'2003'): u'40800.0735367688', (u'Canada', u'2004'): u'37857.1261134552', (u'United States', u'2005'): u'42714.8594790102', (u'Canada', u'2003'): u'37081.4575704003', (u'United States', u'2004'): u'41826.1728310667', (u'Mexico', u'2003'): u'72720.0691255285', (u'Mexico', u'2004'): u'74751.6003347038', (u'Mexico', u'2005'): u'76200.2154469437', (u'Canada', u'2005'): u'38617.4563629611'}, 'GDPPCKD': {(u'United States', u'2003'): u'40800.0735367688', (u'Canada', u'2004'): u'34397.055116118', (u'United States', u'2005'): u'42714.8594790102', (u'Canada', u'2003'): u'33692.2812368928', (u'United States', u'2004'): u'41826.1728310667', (u'Mexico', u'2003'): u'7608.43848670658', (u'Mexico', u'2004'): u'7820.99026814334', (u'Mexico', u'2005'): u'7972.55364129367', (u'Canada', u'2005'): u'35087.8925933298'}}
    expected = pandas.DataFrame(expected)
    result = download(country=['CA', 'MX', 'US', 'junk'], indicator=['GDPPCKD',
                                                                     'GDPPCKN', 'junk'], start=2003, end=2005)
    expected.index = result.index
    assert_frame_equal(result, pandas.DataFrame(expected))


if __name__ == '__main__':
    nose.runmodule(argv=[__file__, '-vvs', '-x', '--pdb', '--pdb-failure'],
                   exit=False)

import nose

import pandas
from pandas.util.testing import network
from pandas.util.testing import assert_frame_equal
from numpy.testing.decorators import slow
from pandas.io.wb import search, download


@slow
@network
def test_wdi_search():
    raise nose.SkipTest
    expected = {u'id': {2634: u'GDPPCKD',
                        4649: u'NY.GDP.PCAP.KD',
                        4651: u'NY.GDP.PCAP.KN',
                        4653: u'NY.GDP.PCAP.PP.KD'},
                u'name': {2634: u'GDP per Capita, constant US$, millions',
                          4649: u'GDP per capita (constant 2000 US$)',
                          4651: u'GDP per capita (constant LCU)',
                          4653: u'GDP per capita, PPP (constant 2005 international $)'}}
    result = search('gdp.*capita.*constant').ix[:, :2]
    expected = pandas.DataFrame(expected)
    expected.index = result.index
    assert_frame_equal(result, expected)


@slow
@network
def test_wdi_download():
    raise nose.SkipTest
    expected = {'GDPPCKN': {(u'United States', u'2003'): u'40800.0735367688', (u'Canada', u'2004'): u'37857.1261134552', (u'United States', u'2005'): u'42714.8594790102', (u'Canada', u'2003'): u'37081.4575704003', (u'United States', u'2004'): u'41826.1728310667', (u'Mexico', u'2003'): u'72720.0691255285', (u'Mexico', u'2004'): u'74751.6003347038', (u'Mexico', u'2005'): u'76200.2154469437', (u'Canada', u'2005'): u'38617.4563629611'}, 'GDPPCKD': {(u'United States', u'2003'): u'40800.0735367688', (u'Canada', u'2004'): u'34397.055116118', (u'United States', u'2005'): u'42714.8594790102', (u'Canada', u'2003'): u'33692.2812368928', (u'United States', u'2004'): u'41826.1728310667', (u'Mexico', u'2003'): u'7608.43848670658', (u'Mexico', u'2004'): u'7820.99026814334', (u'Mexico', u'2005'): u'7972.55364129367', (u'Canada', u'2005'): u'35087.8925933298'}}
    expected = pandas.DataFrame(expected)
    result = download(country=['CA', 'MX', 'US', 'junk'], indicator=['GDPPCKD',
                                                                     'GDPPCKN', 'junk'], start=2003, end=2005)
    expected.index = result.index
    assert_frame_equal(result, pandas.DataFrame(expected))


if __name__ == '__main__':
    nose.runmodule(argv=[__file__, '-vvs', '-x', '--pdb', '--pdb-failure'],
                   exit=False)