"""
Tests that quoting specifications are properly handled
during parsing for all of the parsers defined in parsers.py
"""

import csv
from io import StringIO

import pytest

from pandas.compat import (
    PY311,
    PY314,
)
from pandas.errors import ParserError

from pandas import DataFrame
import pandas._testing as tm

pytestmark = pytest.mark.filterwarnings(
    "ignore:Passing a BlockManager to DataFrame:DeprecationWarning"
)
xfail_pyarrow = pytest.mark.usefixtures("pyarrow_xfail")
skip_pyarrow = pytest.mark.usefixtures("pyarrow_skip")


if PY314:
    # TODO: write a regex that works with all new possitibilities here
    MSG1 = ""
    MSG2 = r"[\s\S]*"
else:
    MSG1 = "a(n)? 1-character string"
    MSG2 = "string( or None)?"


@pytest.mark.parametrize(
    "kwargs,msg",
    [
        ({"quotechar": "foo"}, f'"quotechar" must be {MSG1}'),
        (
            {"quotechar": None, "quoting": csv.QUOTE_MINIMAL},
            "quotechar must be set if quoting enabled",
        ),
        ({"quotechar": 2}, f'"quotechar" must be {MSG2}, not int'),
    ],
)
@skip_pyarrow  # ParserError: CSV parse error: Empty CSV file or block
def test_bad_quote_char(all_parsers, kwargs, msg):
    data = "1,2,3"
    parser = all_parsers

    with pytest.raises(TypeError, match=msg):
        parser.read_csv(StringIO(data), **kwargs)


@pytest.mark.parametrize(
    "quoting,msg",
    [
        ("foo", '"quoting" must be an integer|Argument'),
        (10, 'bad "quoting" value'),  # quoting must be in the range [0, 3]
    ],
)
@xfail_pyarrow  # ValueError: The 'quoting' option is not supported
def test_bad_quoting(all_parsers, quoting, msg):
    data = "1,2,3"
    parser = all_parsers

    with pytest.raises(TypeError, match=msg):
        parser.read_csv(StringIO(data), quoting=quoting)


def test_quote_char_basic(all_parsers):
    parser = all_parsers
    data = 'a,b,c\n1,2,"cat"'
    expected = DataFrame([[1, 2, "cat"]], columns=["a", "b", "c"])

    result = parser.read_csv(StringIO(data), quotechar='"')
    tm.assert_frame_equal(result, expected)


@pytest.mark.parametrize("quote_char", ["~", "*", "%", "$", "@", "P"])
def test_quote_char_various(all_parsers, quote_char):
    parser = all_parsers
    expected = DataFrame([[1, 2, "cat"]], columns=["a", "b", "c"])

    data = 'a,b,c\n1,2,"cat"'
    new_data = data.replace('"', quote_char)

    result = parser.read_csv(StringIO(new_data), quotechar=quote_char)
    tm.assert_frame_equal(result, expected)


@xfail_pyarrow  # ValueError: The 'quoting' option is not supported
@pytest.mark.parametrize("quoting", [csv.QUOTE_MINIMAL, csv.QUOTE_NONE])
@pytest.mark.parametrize("quote_char", ["", None])
def test_null_quote_char(all_parsers, quoting, quote_char):
    kwargs = {"quotechar": quote_char, "quoting": quoting}
    data = "a,b,c\n1,2,3"
    parser = all_parsers

    if quoting != csv.QUOTE_NONE:
        # Sanity checking.
        if not PY314:
            msg = "1-character string"
        else:
            msg = "unicode character or None"
        msg = (
            f'"quotechar" must be a {msg}'
            if PY311 and all_parsers.engine == "python" and quote_char == ""
            else "quotechar must be set if quoting enabled"
        )

        with pytest.raises(TypeError, match=msg):
            parser.read_csv(StringIO(data), **kwargs)
    elif not (PY311 and all_parsers.engine == "python"):
        # Python 3.11+ doesn't support null/blank quote chars in their csv parsers
        expected = DataFrame([[1, 2, 3]], columns=["a", "b", "c"])
        result = parser.read_csv(StringIO(data), **kwargs)
        tm.assert_frame_equal(result, expected)


@pytest.mark.parametrize(
    "kwargs,exp_data",
    [
        ({}, [[1, 2, "foo"]]),  # Test default.
        # QUOTE_MINIMAL only applies to CSV writing, so no effect on reading.
        ({"quotechar": '"', "quoting": csv.QUOTE_MINIMAL}, [[1, 2, "foo"]]),
        # QUOTE_MINIMAL only applies to CSV writing, so no effect on reading.
        ({"quotechar": '"', "quoting": csv.QUOTE_ALL}, [[1, 2, "foo"]]),
        # QUOTE_NONE tells the reader to do no special handling
        # of quote characters and leave them alone.
        ({"quotechar": '"', "quoting": csv.QUOTE_NONE}, [[1, 2, '"foo"']]),
        # QUOTE_NONNUMERIC tells the reader to cast
        # all non-quoted fields to float
        ({"quotechar": '"', "quoting": csv.QUOTE_NONNUMERIC}, [[1.0, 2.0, "foo"]]),
    ],
)
@xfail_pyarrow  # ValueError: The 'quoting' option is not supported
def test_quoting_various(all_parsers, kwargs, exp_data):
    data = '1,2,"foo"'
    parser = all_parsers
    columns = ["a", "b", "c"]

    result = parser.read_csv(StringIO(data), names=columns, **kwargs)
    expected = DataFrame(exp_data, columns=columns)
    tm.assert_frame_equal(result, expected)


@pytest.mark.parametrize(
    "doublequote,exp_data", [(True, [[3, '4 " 5']]), (False, [[3, '4 " 5"']])]
)
def test_double_quote(all_parsers, doublequote, exp_data, request):
    parser = all_parsers
    data = 'a,b\n3,"4 "" 5"'

    if parser.engine == "pyarrow" and not doublequote:
        mark = pytest.mark.xfail(reason="Mismatched result")
        request.applymarker(mark)

    result = parser.read_csv(StringIO(data), quotechar='"', doublequote=doublequote)
    expected = DataFrame(exp_data, columns=["a", "b"])
    tm.assert_frame_equal(result, expected)


@pytest.mark.parametrize("quotechar", ['"', "\u0001"])
def test_quotechar_unicode(all_parsers, quotechar):
    # see gh-14477
    data = "a\n1"
    parser = all_parsers
    expected = DataFrame({"a": [1]})

    result = parser.read_csv(StringIO(data), quotechar=quotechar)
    tm.assert_frame_equal(result, expected)


@pytest.mark.parametrize("balanced", [True, False])
def test_unbalanced_quoting(all_parsers, balanced, request):
    # see gh-22789.
    parser = all_parsers
    data = 'a,b,c\n1,2,"3'

    if parser.engine == "pyarrow" and not balanced:
        mark = pytest.mark.xfail(reason="Mismatched result")
        request.applymarker(mark)

    if balanced:
        # Re-balance the quoting and read in without errors.
        expected = DataFrame([[1, 2, 3]], columns=["a", "b", "c"])
        result = parser.read_csv(StringIO(data + '"'))
        tm.assert_frame_equal(result, expected)
    else:
        msg = (
            "EOF inside string starting at row 1"
            if parser.engine == "c"
            else "unexpected end of data"
        )

        with pytest.raises(ParserError, match=msg):
            parser.read_csv(StringIO(data))