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"""
Tests that dialects are properly handled during parsing
for all of the parsers defined in parsers.py
"""
 
import csv
from io import StringIO
 
import pytest
 
from pandas.errors import ParserWarning
 
from pandas import DataFrame
import pandas._testing as tm
 
pytestmark = pytest.mark.usefixtures("pyarrow_skip")
 
 
@pytest.fixture
def custom_dialect():
    dialect_name = "weird"
    dialect_kwargs = {
        "doublequote": False,
        "escapechar": "~",
        "delimiter": ":",
        "skipinitialspace": False,
        "quotechar": "~",
        "quoting": 3,
    }
    return dialect_name, dialect_kwargs
 
 
def test_dialect(all_parsers):
    parser = all_parsers
    data = """\
label1,label2,label3
index1,"a,c,e
index2,b,d,f
"""
 
    dia = csv.excel()
    dia.quoting = csv.QUOTE_NONE
    df = parser.read_csv(StringIO(data), dialect=dia)
 
    data = """\
label1,label2,label3
index1,a,c,e
index2,b,d,f
"""
    exp = parser.read_csv(StringIO(data))
    exp.replace("a", '"a', inplace=True)
    tm.assert_frame_equal(df, exp)
 
 
def test_dialect_str(all_parsers):
    dialect_name = "mydialect"
    parser = all_parsers
    data = """\
fruit:vegetable
apple:broccoli
pear:tomato
"""
    exp = DataFrame({"fruit": ["apple", "pear"], "vegetable": ["broccoli", "tomato"]})
 
    with tm.with_csv_dialect(dialect_name, delimiter=":"):
        df = parser.read_csv(StringIO(data), dialect=dialect_name)
        tm.assert_frame_equal(df, exp)
 
 
def test_invalid_dialect(all_parsers):
    class InvalidDialect:
        pass
 
    data = "a\n1"
    parser = all_parsers
    msg = "Invalid dialect"
 
    with pytest.raises(ValueError, match=msg):
        parser.read_csv(StringIO(data), dialect=InvalidDialect)
 
 
@pytest.mark.parametrize(
    "arg",
    [None, "doublequote", "escapechar", "skipinitialspace", "quotechar", "quoting"],
)
@pytest.mark.parametrize("value", ["dialect", "default", "other"])
def test_dialect_conflict_except_delimiter(all_parsers, custom_dialect, arg, value):
    # see gh-23761.
    dialect_name, dialect_kwargs = custom_dialect
    parser = all_parsers
 
    expected = DataFrame({"a": [1], "b": [2]})
    data = "a:b\n1:2"
 
    warning_klass = None
    kwds = {}
 
    # arg=None tests when we pass in the dialect without any other arguments.
    if arg is not None:
        if value == "dialect":  # No conflict --> no warning.
            kwds[arg] = dialect_kwargs[arg]
        elif value == "default":  # Default --> no warning.
            from pandas.io.parsers.base_parser import parser_defaults
 
            kwds[arg] = parser_defaults[arg]
        else:  # Non-default + conflict with dialect --> warning.
            warning_klass = ParserWarning
            kwds[arg] = "blah"
 
    with tm.with_csv_dialect(dialect_name, **dialect_kwargs):
        result = parser.read_csv_check_warnings(
            warning_klass,
            "Conflicting values for",
            StringIO(data),
            dialect=dialect_name,
            **kwds,
        )
        tm.assert_frame_equal(result, expected)
 
 
@pytest.mark.parametrize(
    "kwargs,warning_klass",
    [
        ({"sep": ","}, None),  # sep is default --> sep_override=True
        ({"sep": "."}, ParserWarning),  # sep isn't default --> sep_override=False
        ({"delimiter": ":"}, None),  # No conflict
        ({"delimiter": None}, None),  # Default arguments --> sep_override=True
        ({"delimiter": ","}, ParserWarning),  # Conflict
        ({"delimiter": "."}, ParserWarning),  # Conflict
    ],
    ids=[
        "sep-override-true",
        "sep-override-false",
        "delimiter-no-conflict",
        "delimiter-default-arg",
        "delimiter-conflict",
        "delimiter-conflict2",
    ],
)
def test_dialect_conflict_delimiter(all_parsers, custom_dialect, kwargs, warning_klass):
    # see gh-23761.
    dialect_name, dialect_kwargs = custom_dialect
    parser = all_parsers
 
    expected = DataFrame({"a": [1], "b": [2]})
    data = "a:b\n1:2"
 
    with tm.with_csv_dialect(dialect_name, **dialect_kwargs):
        result = parser.read_csv_check_warnings(
            warning_klass,
            "Conflicting values for 'delimiter'",
            StringIO(data),
            dialect=dialect_name,
            **kwargs,
        )
        tm.assert_frame_equal(result, expected)