"""This is the Bokeh charts testing interface.

"""
#-----------------------------------------------------------------------------
# Copyright (c) 2012 - 2014, Continuum Analytics, Inc. All rights reserved.
#
# Powered by the Bokeh Development Team.
#
# The full license is in the file LICENSE.txt, distributed with this software.
#-----------------------------------------------------------------------------

#-----------------------------------------------------------------------------
# Imports
#-----------------------------------------------------------------------------

from __future__ import absolute_import
from bkcharts.utils import (build_wedge_source, build_wedge_text_source,
                                label_from_index_dict, comp_glyphs_to_df)

from bkcharts.glyphs import BarGlyph

import pytest
from bokeh.models.sources import ColumnDataSource

#-----------------------------------------------------------------------------
# Classes and functions
#-----------------------------------------------------------------------------


@pytest.fixture
def polar_cats(test_data):
    cat_cols = ['cyl', 'origin']
    return build_wedge_source(test_data.auto_data, cat_cols,
                              'displ', 'mean')

def test_ordered_set():
    pass


def test_collect_attribute_columns():
    pass


def test_df_from_json():
    pass


def test_title_from_columns():
    pass


def test_cat_to_polor(test_data, polar_cats):
    """Check known example for how many rows should exist based on columns."""

    # we expect back start and end angles for each group level
    level_0 = len(test_data.auto_data[['cyl']].drop_duplicates())
    level_1 = len(test_data.auto_data[['cyl', 'origin']].drop_duplicates())
    num_groups = level_0 + level_1

    assert len(polar_cats) == num_groups


def test_create_wedge_text(polar_cats):
    """Check for type of output and columns in output for wedge text source."""
    text_data = build_wedge_text_source(polar_cats)
    assert isinstance(text_data, ColumnDataSource)
    assert all(col in text_data.column_names for col in
               ['x', 'y', 'text', 'text_angle']) is True


def test_chart_index_label():
    str_label = 'custom label'
    dict_label = {'col1': 5, 'col2': 8}

    # custom label is just returned because it is already a label
    label = label_from_index_dict(str_label)
    assert str_label == label

    # tuple label
    label = label_from_index_dict(dict_label)
    assert label == (5, 8) or label == (8, 5)

    # named column label
    label = label_from_index_dict(dict_label, include_cols=True)
    assert label == 'col1=5, col2=8' or label == 'col2=8, col1=5'

    # no label because data not grouped
    label = label_from_index_dict(None)
    assert label == 'None'


def test_comp_glyph_to_df():
    bar1 = BarGlyph('foo', 1)
    bar2 = BarGlyph('bar', 5)

    # one row per bar
    df = comp_glyphs_to_df(bar1, bar2)

    assert len(df.index) == 2
    assert 'chart_index' in df.columns