# Copyright 2016 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# ==============================================================================
"""Tests of the DataFrame class."""

from __future__ import absolute_import
from __future__ import division
from __future__ import print_function

from tensorflow.contrib.learn.python import learn
from tensorflow.contrib.learn.python.learn.tests.dataframe import mocks
from tensorflow.python.framework import dtypes
from tensorflow.python.platform import test


def setup_test_df():
  """Create a dataframe populated with some test columns."""
  df = learn.DataFrame()
  df["a"] = learn.TransformedSeries(
      [mocks.MockSeries("foobar", mocks.MockTensor("Tensor a", dtypes.int32))],
      mocks.MockTwoOutputTransform("iue", "eui", "snt"), "out1")
  df["b"] = learn.TransformedSeries(
      [mocks.MockSeries("foobar", mocks.MockTensor("Tensor b", dtypes.int32))],
      mocks.MockTwoOutputTransform("iue", "eui", "snt"), "out2")
  df["c"] = learn.TransformedSeries(
      [mocks.MockSeries("foobar", mocks.MockTensor("Tensor c", dtypes.int32))],
      mocks.MockTwoOutputTransform("iue", "eui", "snt"), "out1")
  return df


class DataFrameTest(test.TestCase):
  """Test of `DataFrame`."""

  def test_create(self):
    df = setup_test_df()
    self.assertEqual(df.columns(), frozenset(["a", "b", "c"]))

  def test_select_columns(self):
    df = setup_test_df()
    df2 = df.select_columns(["a", "c"])
    self.assertEqual(df2.columns(), frozenset(["a", "c"]))

  def test_exclude_columns(self):
    df = setup_test_df()
    df2 = df.exclude_columns(["a", "c"])
    self.assertEqual(df2.columns(), frozenset(["b"]))

  def test_get_item(self):
    df = setup_test_df()
    c1 = df["b"]
    self.assertEqual(
        mocks.MockTensor("Mock Tensor 2", dtypes.int32), c1.build())

  def test_del_item_column(self):
    df = setup_test_df()
    self.assertEqual(3, len(df))
    del df["b"]
    self.assertEqual(2, len(df))
    self.assertEqual(df.columns(), frozenset(["a", "c"]))

  def test_set_item_column(self):
    df = setup_test_df()
    self.assertEqual(3, len(df))
    col1 = mocks.MockSeries("QuackColumn",
                            mocks.MockTensor("Tensor ", dtypes.int32))
    df["quack"] = col1
    self.assertEqual(4, len(df))
    col2 = df["quack"]
    self.assertEqual(col1, col2)

  def test_set_item_column_multi(self):
    df = setup_test_df()
    self.assertEqual(3, len(df))
    col1 = mocks.MockSeries("QuackColumn", [])
    col2 = mocks.MockSeries("MooColumn", [])
    df["quack", "moo"] = [col1, col2]
    self.assertEqual(5, len(df))
    col3 = df["quack"]
    self.assertEqual(col1, col3)
    col4 = df["moo"]
    self.assertEqual(col2, col4)

  def test_set_item_pandas(self):
    # TODO(jamieas)
    pass

  def test_set_item_numpy(self):
    # TODO(jamieas)
    pass

  def test_build(self):
    df = setup_test_df()
    result = df.build()
    expected = {
        "a": mocks.MockTensor("Mock Tensor 1", dtypes.int32),
        "b": mocks.MockTensor("Mock Tensor 2", dtypes.int32),
        "c": mocks.MockTensor("Mock Tensor 1", dtypes.int32)
    }
    self.assertEqual(expected, result)


if __name__ == "__main__":
  test.main()
