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#  ┃ Copyright (c) 2017, the Perspective Authors.                              ┃
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#  ┃ This file is part of the Perspective library, distributed under the terms ┃
#  ┃ of the [Apache License 2.0](https://www.apache.org/licenses/LICENSE-2.0). ┃
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from datetime import date, datetime
from pytest import mark
import perspective as psp

client = psp.Server().new_local_client()
Table = client.table


class TestTableInfer(object):
    def test_table_infer_int(self):
        data = {"a": [None, None, None, None, 1, 0, 1, 1, 1]}
        tbl = Table(data)
        assert tbl.schema() == {"a": "integer"}

    def test_table_infer_float(self):
        data = {"a": [None, None, None, None, 1.0, 2.0]}
        tbl = Table(data)
        assert tbl.schema() == {"a": "float"}

    def test_table_infer_bool(self):
        bool_data = [{"a": True, "b": False}, {"a": True, "b": True}]
        tbl = Table(bool_data)
        assert tbl.size() == 2
        assert tbl.schema() == {"a": "boolean", "b": "boolean"}

    def test_table_infer_bool_str(self):
        bool_data = [{"a": "True", "b": "False"}, {"a": "True", "b": "True"}]
        tbl = Table(bool_data)
        assert tbl.size() == 2
        assert tbl.schema() == {"a": "boolean", "b": "boolean"}

    @mark.skip(reason="Unsupported python specific behavior")
    def test_table_bool_infer_str_all_formats_from_schema(self):
        bool_data = [
            {"a": "True", "b": "False"},
            {"a": "t", "b": "f"},
            {"a": "true", "b": "false"},
            {"a": 1, "b": 0},
            {"a": "on", "b": "off"},
        ]
        tbl = Table(bool_data)
        assert tbl.schema() == {"a": "boolean", "b": "boolean"}
        assert tbl.size() == 5
        assert tbl.view().to_columns() == {
            "a": [True, True, True, True, True],
            "b": [False, False, False, False, False],
        }

    def test_table_infer_bool_variant(self):
        data = {"a": [None, None, None, None, True, True, True]}
        tbl = Table(data)
        assert tbl.schema() == {"a": "boolean"}

    def test_table_infer_str(self):
        data = {"a": [None, None, None, None, None, None, "abc"]}
        tbl = Table(data)
        assert tbl.schema() == {"a": "string"}

    @mark.skip(reason="Time is not a valid JSON type")
    def test_table_infer_time_as_string(self):
        # time objects are inferred as string
        data = {
            "a": [
                None,
                None,
                None,
                None,
                None,
                None,
                datetime(2019, 7, 11, 12, 30, 5).time(),
            ]
        }
        tbl = Table(data)
        assert tbl.schema() == {"a": "string"}

    @mark.skip(reason="Unsupported python specific behavior")
    def test_table_infer_date_from_datetime(self):
        # inferrence on non-pandas datasets defaults to datetime
        data = {"a": [None, None, None, None, None, None, datetime(2019, 7, 11)]}
        tbl = Table(data)
        assert tbl.schema() == {"a": "datetime"}

    def test_table_infer_date_from_date(self):
        # pass in a `date` to make sure it infers as date
        data = {"a": [None, None, None, None, None, None, date(2019, 7, 11)]}
        tbl = Table(data)
        assert tbl.schema() == {"a": "date"}

    def test_table_infer_valid_date(self):
        data = {"a": [None, None, None, None, None, None, "08/31/2019"]}
        tbl = Table(data)
        assert tbl.schema() == {"a": "date"}

    def test_table_infer_ambiguous_date(self):
        data = {"a": [None, None, None, None, None, None, "01/03/2019"]}
        tbl = Table(data)
        assert tbl.schema() == {"a": "date"}

    def test_table_infer_ymd_date(self):
        data = {"a": [None, None, None, None, None, None, "2019/01/03"]}
        tbl = Table(data)
        assert tbl.schema() == {"a": "date"}

    def test_table_infer_invalid_date(self):
        data = {"a": [None, None, None, None, None, None, "08/55/2019"]}
        tbl = Table(data)
        assert tbl.schema() == {"a": "string"}

    def test_table_infer_date_edge(self):
        data = {"a": [None, None, None, None, None, None, "08/31/2019 00:00:00"]}
        tbl = Table(data)
        assert tbl.schema() == {"a": "date"}

    def test_table_infer_datetime_edge(self):
        data = {"a": [None, None, None, None, None, None, "08/31/2019 00:00:01"]}
        tbl = Table(data)
        assert tbl.schema() == {"a": "datetime"}

    def test_table_infer_valid_datetime(self):
        data = {"a": [None, None, None, None, None, None, "08/31/2019 07:30:00"]}
        tbl = Table(data)
        assert tbl.schema() == {"a": "datetime"}

    def test_table_infer_iso_datetime(self):
        data = {"a": [None, None, None, None, None, None, "2019/07/25T09:00:00"]}
        tbl = Table(data)
        assert tbl.schema() == {"a": "datetime"}

    def test_table_infer_datetime_separators(self):
        data = {
            "a": [
                None,
                None,
                None,
                None,
                None,
                "2019-07-25T09:00:00",
                "2019/07/25T09:00:00",
            ]
        }
        tbl = Table(data)
        assert tbl.schema() == {"a": "datetime"}

    def test_table_infer_datetime_tz(self):
        data = {"a": [None, None, None, None, None, "2019-07-25T09:00:00-05:00"]}
        tbl = Table(data)
        assert tbl.schema() == {"a": "datetime"}

    def test_table_infer_invalid_datetime(self):
        data = {"a": [None, None, None, None, None, None, "08/31/2019 25:30:00"]}
        tbl = Table(data)
        assert tbl.schema() == {"a": "string"}

    def test_table_infer_mixed_date(self):
        data = {"a": [None, None, None, None, None, "08/11/2019"]}
        tbl = Table(data)
        assert tbl.schema() == {"a": "date"}

    def test_table_infer_mixed_datetime(self):
        data = {"a": [None, None, None, None, None, "08/11/2019 13:14:15"]}
        tbl = Table(data)
        assert tbl.schema() == {"a": "datetime"}

    @mark.skip(reason="Numeric strings are not inferred as numbers")
    def test_table_strict_datetime_infer(self):
        data = {"a": ["10", "9", "8", "7", "6", "5", "4", "3", "2", "1"]}
        tbl = Table(data)
        assert tbl.schema() == {"a": "string"}

    def test_table_strict_date_infer(self):
        data = {"a": ["2019 09 10"]}
        tbl = Table(data)
        assert tbl.schema() == {"a": "date"}

    def test_table_strict_datetime_separator_infer(self):
        data = {"a": ["2019-10-01 7:30"]}
        tbl = Table(data)
        assert tbl.schema() == {"a": "datetime"}

    def test_table_datetime_infer_no_false_positive(self):
        data = {"a": [" . - / but clearly not a date"]}
        tbl = Table(data)
        assert tbl.schema() == {"a": "string"}

    @mark.skip
    def test_table_datetime_infer_from_string_with_time(self):
        data = {"a": ["11:00 ABCD"]}
        tbl = Table(data)
        assert tbl.schema() == {"a": "string"}