import numpy as np
import unittest
from statsmodels.iolib.table import SimpleTable, default_txt_fmt
from statsmodels.iolib.table import default_latex_fmt
from statsmodels.iolib.table import default_html_fmt
import pandas
from statsmodels.regression.linear_model import OLS

ltx_fmt1 = default_latex_fmt.copy()
html_fmt1 = default_html_fmt.copy()

class TestSimpleTable(unittest.TestCase):
    def test_SimpleTable_1(self):
        # Basic test, test_SimpleTable_1
        desired = '''
=====================
      header1 header2
---------------------
stub1 1.30312 2.73999
stub2 1.95038 2.65765
---------------------
'''
        test1data = [[1.30312, 2.73999],[1.95038, 2.65765]]
        test1stubs = ('stub1', 'stub2')
        test1header = ('header1', 'header2')
        actual = SimpleTable(test1data, test1header, test1stubs,
                             txt_fmt=default_txt_fmt)
        actual = '\n%s\n' % actual.as_text()
        self.assertEqual(desired, str(actual))

    def test_SimpleTable_2(self):
        #  Test SimpleTable.extend_right()
        desired = '''
=============================================================
           header s1 header d1            header s2 header d2
-------------------------------------------------------------
stub R1 C1  10.30312  10.73999 stub R1 C2  50.95038  50.65765
stub R2 C1  90.30312  90.73999 stub R2 C2  40.95038  40.65765
-------------------------------------------------------------
'''
        data1 = [[10.30312, 10.73999], [90.30312, 90.73999]]
        data2 = [[50.95038, 50.65765], [40.95038, 40.65765]]
        stubs1 = ['stub R1 C1', 'stub R2 C1']
        stubs2 = ['stub R1 C2', 'stub R2 C2']
        header1 = ['header s1', 'header d1']
        header2 = ['header s2', 'header d2']
        actual1 = SimpleTable(data1, header1, stubs1, txt_fmt=default_txt_fmt)
        actual2 = SimpleTable(data2, header2, stubs2, txt_fmt=default_txt_fmt)
        actual1.extend_right(actual2)
        actual = '\n%s\n' % actual1.as_text()
        self.assertEqual(desired, str(actual))

    def test_SimpleTable_3(self):
        # Test SimpleTable.extend() as in extend down
        desired = '''
==============================
           header s1 header d1
------------------------------
stub R1 C1  10.30312  10.73999
stub R2 C1  90.30312  90.73999
           header s2 header d2
------------------------------
stub R1 C2  50.95038  50.65765
stub R2 C2  40.95038  40.65765
------------------------------
'''
        data1 = [[10.30312, 10.73999], [90.30312, 90.73999]]
        data2 = [[50.95038, 50.65765], [40.95038, 40.65765]]
        stubs1 = ['stub R1 C1', 'stub R2 C1']
        stubs2 = ['stub R1 C2', 'stub R2 C2']
        header1 = ['header s1', 'header d1']
        header2 = ['header s2', 'header d2']
        actual1 = SimpleTable(data1, header1, stubs1, txt_fmt=default_txt_fmt)
        actual2 = SimpleTable(data2, header2, stubs2, txt_fmt=default_txt_fmt)
        actual1.extend(actual2)
        actual = '\n%s\n' % actual1.as_text()
        self.assertEqual(desired, str(actual))

    def test_SimpleTable_4(self):
        # Basic test, test_SimpleTable_4 test uses custom txt_fmt
        txt_fmt1 = dict(data_fmts = ['%3.2f', '%d'],
                        empty_cell = ' ',
                        colwidths = 1,
                        colsep=' * ',
                        row_pre = '* ',
                        row_post = ' *',
                        table_dec_above='*',
                        table_dec_below='*',
                        header_dec_below='*',
                        header_fmt = '%s',
                        stub_fmt = '%s',
                        title_align='r',
                        header_align = 'r',
                        data_aligns = "r",
                        stubs_align = "l",
                        fmt = 'txt'
                        )
        ltx_fmt1 = default_latex_fmt.copy()
        html_fmt1 = default_html_fmt.copy()
        cell0data = 0.0000
        cell1data = 1
        row0data = [cell0data, cell1data]
        row1data = [2, 3.333]
        table1data = [ row0data, row1data ]
        test1stubs = ('stub1', 'stub2')
        test1header = ('header1', 'header2')
        tbl = SimpleTable(table1data, test1header, test1stubs,txt_fmt=txt_fmt1,
                          ltx_fmt=ltx_fmt1, html_fmt=html_fmt1)
        def test_txt_fmt1(self):
            # Limited test of custom txt_fmt
            desired = """
*****************************
*       * header1 * header2 *
*****************************
* stub1 *    0.00 *       1 *
* stub2 *    2.00 *       3 *
*****************************
"""
            actual = '\n%s\n' % tbl.as_text()
            #print(actual)
            #print(desired)
            self.assertEqual(actual, desired)
        def test_ltx_fmt1(self):
            # Limited test of custom ltx_fmt
            desired = r"""
\begin{tabular}{lcc}
\toprule
               & \textbf{header1} & \textbf{header2}  \\
\midrule
\textbf{stub1} &       0.0        &        1          \\
\textbf{stub2} &        2         &      3.333        \\
\bottomrule
\end{tabular}
"""
            actual = '\n%s\n' % tbl.as_latex_tabular(center=False)
            #print(actual)
            #print(desired)
            self.assertEqual(actual, desired)
            # Test "center=True" (the default):
            desired_centered = r"""
\begin{center}
%s
\end{center}
""" % desired[1:-1]
            actual_centered = '\n%s\n' % tbl.as_latex_tabular()
            self.assertEqual(actual_centered, desired_centered)
        def test_html_fmt1(self):
            # Limited test of custom html_fmt
            desired = """
<table class="simpletable">
<tr>
    <td></td>    <th>header1</th> <th>header2</th>
</tr>
<tr>
  <th>stub1</th>   <td>0.0</td>      <td>1</td>   
</tr>
<tr>
  <th>stub2</th>    <td>2</td>     <td>3.333</td> 
</tr>
</table>
"""
            actual = '\n%s\n' % tbl.as_html()
            self.assertEqual(actual, desired)
        test_txt_fmt1(self)
        test_ltx_fmt1(self)
        test_html_fmt1(self)
    def test_regression_with_tuples(self):
        i = pandas.Series( [1,2,3,4]*10 , name="i")
        y = pandas.Series( [1,2,3,4,5]*8, name="y")
        x = pandas.Series( [1,2,3,4,5,6,7,8]*5, name="x")

        df = pandas.DataFrame( index=i.index )
        df = df.join( i )
        endo = df.join( y )
        exo = df.join( x )
        endo_groups = endo.groupby( ("i",) )
        exo_groups = exo.groupby( ("i",) )
        exo_Df = exo_groups.agg( [np.sum, np.max] )
        endo_Df = endo_groups.agg( [np.sum, np.max] )
        reg = OLS(exo_Df[[("x", "sum")]],endo_Df).fit()
        interesting_lines = []
        import warnings
        with warnings.catch_warnings():
            # Catch ominormal warning, not interesting here
            warnings.simplefilter("ignore")
            for line in str( reg.summary() ).splitlines():
                if "('" in line:
                    interesting_lines.append( line[:38] )

        desired = ["Dep. Variable:           ('x', 'sum') ",
                   "('y', 'sum')      1.4595      0.209   ",
                   "('y', 'amax')     0.2432      0.035   "]

        self.assertEqual(sorted(desired), sorted(interesting_lines)  )


if __name__ == "__main__":
    #unittest.main()
    pass


