#
# Copyright (c) 2023 Airbyte, Inc., all rights reserved.
#

import asyncio
import csv
import io
import logging
import unittest
from datetime import datetime
from typing import Any, Dict, Generator, List, Set
from unittest import TestCase, mock
from unittest.mock import Mock

import pytest

from airbyte_cdk.models import FailureType
from airbyte_cdk.sources.file_based.config.csv_format import (
    DEFAULT_FALSE_VALUES,
    DEFAULT_TRUE_VALUES,
    CsvFormat,
    CsvHeaderAutogenerated,
    CsvHeaderUserProvided,
    InferenceType,
)
from airbyte_cdk.sources.file_based.config.file_based_stream_config import FileBasedStreamConfig
from airbyte_cdk.sources.file_based.exceptions import RecordParseError
from airbyte_cdk.sources.file_based.file_based_stream_reader import (
    AbstractFileBasedStreamReader,
    FileReadMode,
)
from airbyte_cdk.sources.file_based.file_types.csv_parser import CsvParser, _CsvReader
from airbyte_cdk.sources.file_based.remote_file import RemoteFile
from airbyte_cdk.utils.traced_exception import AirbyteTracedException

PROPERTY_TYPES = {
    "col1": "null",
    "col2": "boolean",
    "col3": "integer",
    "col4": "number",
    "col5": "string",
    "col6": "object",
    "col7": "array",
    "col8": "array",
    "col9": "array",
    "col10": "string",
}

logger = logging.getLogger()


@pytest.mark.parametrize(
    "row, true_values, false_values, expected_output",
    [
        pytest.param(
            {
                "col1": "",
                "col2": "true",
                "col3": "1",
                "col4": "1.1",
                "col5": "asdf",
                "col6": '{"a": "b"}',
                "col7": "[1, 2]",
                "col8": '["1", "2"]',
                "col9": '[{"a": "b"}, {"a": "c"}]',
                "col10": "asdf",
            },
            DEFAULT_TRUE_VALUES,
            DEFAULT_FALSE_VALUES,
            {
                "col1": None,
                "col2": True,
                "col3": 1,
                "col4": 1.1,
                "col5": "asdf",
                "col6": {"a": "b"},
                "col7": [1, 2],
                "col8": ["1", "2"],
                "col9": [{"a": "b"}, {"a": "c"}],
                "col10": "asdf",
            },
            id="cast-all-cols",
        ),
        pytest.param(
            {"col1": "1"},
            DEFAULT_TRUE_VALUES,
            DEFAULT_FALSE_VALUES,
            {"col1": "1"},
            id="cannot-cast-to-null",
        ),
        pytest.param(
            {"col2": "1"},
            DEFAULT_TRUE_VALUES,
            DEFAULT_FALSE_VALUES,
            {"col2": True},
            id="cast-1-to-bool",
        ),
        pytest.param(
            {"col2": "0"},
            DEFAULT_TRUE_VALUES,
            DEFAULT_FALSE_VALUES,
            {"col2": False},
            id="cast-0-to-bool",
        ),
        pytest.param(
            {"col2": "yes"},
            DEFAULT_TRUE_VALUES,
            DEFAULT_FALSE_VALUES,
            {"col2": True},
            id="cast-yes-to-bool",
        ),
        pytest.param(
            {"col2": "this_is_a_true_value"},
            ["this_is_a_true_value"],
            DEFAULT_FALSE_VALUES,
            {"col2": True},
            id="cast-custom-true-value-to-bool",
        ),
        pytest.param(
            {"col2": "this_is_a_false_value"},
            DEFAULT_TRUE_VALUES,
            ["this_is_a_false_value"],
            {"col2": False},
            id="cast-custom-false-value-to-bool",
        ),
        pytest.param(
            {"col2": "no"},
            DEFAULT_TRUE_VALUES,
            DEFAULT_FALSE_VALUES,
            {"col2": False},
            id="cast-no-to-bool",
        ),
        pytest.param(
            {"col2": "10"},
            DEFAULT_TRUE_VALUES,
            DEFAULT_FALSE_VALUES,
            {"col2": "10"},
            id="cannot-cast-to-bool",
        ),
        pytest.param(
            {"col3": "1.1"},
            DEFAULT_TRUE_VALUES,
            DEFAULT_FALSE_VALUES,
            {"col3": "1.1"},
            id="cannot-cast-to-int",
        ),
        pytest.param(
            {"col4": "asdf"},
            DEFAULT_TRUE_VALUES,
            DEFAULT_FALSE_VALUES,
            {"col4": "asdf"},
            id="cannot-cast-to-float",
        ),
        pytest.param(
            {"col6": "{'a': 'b'}"},
            DEFAULT_TRUE_VALUES,
            DEFAULT_FALSE_VALUES,
            {"col6": "{'a': 'b'}"},
            id="cannot-cast-to-dict",
        ),
        pytest.param(
            {"col7": "['a', 'b']"},
            DEFAULT_TRUE_VALUES,
            DEFAULT_FALSE_VALUES,
            {"col7": "['a', 'b']"},
            id="cannot-cast-to-list-of-ints",
        ),
        pytest.param(
            {"col8": "['a', 'b']"},
            DEFAULT_TRUE_VALUES,
            DEFAULT_FALSE_VALUES,
            {"col8": "['a', 'b']"},
            id="cannot-cast-to-list-of-strings",
        ),
        pytest.param(
            {"col9": "['a', 'b']"},
            DEFAULT_TRUE_VALUES,
            DEFAULT_FALSE_VALUES,
            {"col9": "['a', 'b']"},
            id="cannot-cast-to-list-of-objects",
        ),
        pytest.param(
            {"col11": "x"},
            DEFAULT_TRUE_VALUES,
            DEFAULT_FALSE_VALUES,
            {},
            id="item-not-in-props-doesn't-error",
        ),
    ],
)
def test_cast_to_python_type(
    row: Dict[str, str],
    true_values: Set[str],
    false_values: Set[str],
    expected_output: Dict[str, Any],
) -> None:
    csv_format = CsvFormat(true_values=true_values, false_values=false_values)
    assert CsvParser._cast_types(row, PROPERTY_TYPES, csv_format, logger) == expected_output


@pytest.mark.parametrize(
    "row, strings_can_be_null, expected_output",
    [
        pytest.param(
            {"id": "1", "name": "bob", "age": 10, "is_cool": False},
            False,
            {"id": "1", "name": "bob", "age": 10, "is_cool": False},
            id="test-no-values-are-null",
        ),
        pytest.param(
            {"id": "1", "name": "bob", "age": "null", "is_cool": "null"},
            False,
            {"id": "1", "name": "bob", "age": None, "is_cool": None},
            id="test-non-string-values-are-none-if-in-null-values",
        ),
        pytest.param(
            {"id": "1", "name": "null", "age": 10, "is_cool": False},
            False,
            {"id": "1", "name": "null", "age": 10, "is_cool": False},
            id="test-string-values-are-not-none-if-strings-cannot-be-null",
        ),
        pytest.param(
            {"id": "1", "name": "null", "age": 10, "is_cool": False},
            True,
            {"id": "1", "name": None, "age": 10, "is_cool": False},
            id="test-string-values-none-if-strings-can-be-null",
        ),
    ],
)
def test_to_nullable(row, strings_can_be_null, expected_output):
    property_types = {"id": "string", "name": "string", "age": "integer", "is_cool": "boolean"}
    null_values = {"null"}
    nulled_row = CsvParser._to_nullable(row, property_types, null_values, strings_can_be_null)
    assert nulled_row == expected_output


_DEFAULT_TRUE_VALUES = {"1", "yes", "yeah", "right"}
_DEFAULT_FALSE_VALUES = {"0", "no", "nop", "wrong"}


class SchemaInferenceTestCase(TestCase):
    _A_NULL_VALUE = "null"
    _HEADER_NAME = "header"

    def setUp(self) -> None:
        self._config_format = CsvFormat()
        self._config_format.true_values = _DEFAULT_TRUE_VALUES
        self._config_format.false_values = _DEFAULT_FALSE_VALUES
        self._config_format.null_values = {self._A_NULL_VALUE}
        self._config_format.inference_type = InferenceType.NONE
        self._config = Mock()
        self._config.get_input_schema.return_value = None
        self._config.format = self._config_format

        self._file = RemoteFile(uri="a uri", last_modified=datetime.now())
        self._stream_reader = Mock(spec=AbstractFileBasedStreamReader)
        self._logger = Mock(spec=logging.Logger)
        self._csv_reader = Mock(spec=_CsvReader)
        self._parser = CsvParser(self._csv_reader)

    def test_given_user_schema_defined_when_infer_schema_then_return_user_schema(self) -> None:
        self._config.get_input_schema.return_value = {self._HEADER_NAME: {"type": "potato"}}
        self._test_infer_schema(list(_DEFAULT_TRUE_VALUES.union(_DEFAULT_FALSE_VALUES)), "potato")

    def test_given_booleans_only_when_infer_schema_then_type_is_boolean(self) -> None:
        self._config_format.inference_type = InferenceType.PRIMITIVE_TYPES_ONLY
        self._test_infer_schema(list(_DEFAULT_TRUE_VALUES.union(_DEFAULT_FALSE_VALUES)), "boolean")

    def test_given_integers_only_when_infer_schema_then_type_is_integer(self) -> None:
        self._config_format.inference_type = InferenceType.PRIMITIVE_TYPES_ONLY
        self._test_infer_schema(["2", "90329", "5645"], "integer")

    def test_given_integer_overlap_with_bool_value_only_when_infer_schema_then_type_is_integer(
        self,
    ) -> None:
        self._config_format.inference_type = InferenceType.PRIMITIVE_TYPES_ONLY
        self._test_infer_schema(
            ["1", "90329", "5645"], "integer"
        )  # here, "1" is also considered a boolean

    def test_given_numbers_and_integers_when_infer_schema_then_type_is_number(self) -> None:
        self._config_format.inference_type = InferenceType.PRIMITIVE_TYPES_ONLY
        self._test_infer_schema(["2", "90329", "2.312"], "number")

    def test_given_arrays_when_infer_schema_then_type_is_string(self) -> None:
        self._config_format.inference_type = InferenceType.PRIMITIVE_TYPES_ONLY
        self._test_infer_schema(
            ['["first_item", "second_item"]', '["first_item_again", "second_item_again"]'], "string"
        )

    def test_given_objects_when_infer_schema_then_type_is_object(self) -> None:
        self._config_format.inference_type = InferenceType.PRIMITIVE_TYPES_ONLY
        self._test_infer_schema(['{"object1_key": 1}', '{"object2_key": 2}'], "string")

    def test_given_strings_only_when_infer_schema_then_type_is_string(self) -> None:
        self._config_format.inference_type = InferenceType.PRIMITIVE_TYPES_ONLY
        self._test_infer_schema(["a string", "another string"], "string")

    def test_given_a_null_value_when_infer_then_ignore_null(self) -> None:
        self._config_format.inference_type = InferenceType.PRIMITIVE_TYPES_ONLY
        self._test_infer_schema(["2", "90329", "5645", self._A_NULL_VALUE], "integer")

    def test_given_only_null_values_when_infer_then_type_is_string(self) -> None:
        self._config_format.inference_type = InferenceType.PRIMITIVE_TYPES_ONLY
        self._test_infer_schema(
            [self._A_NULL_VALUE, self._A_NULL_VALUE, self._A_NULL_VALUE], "string"
        )

    def test_given_big_file_when_infer_schema_then_stop_early(self) -> None:
        self._config_format.inference_type = InferenceType.PRIMITIVE_TYPES_ONLY
        self._csv_reader.read_data.return_value = (
            {self._HEADER_NAME: row} for row in ["2." + "2" * 1_000_000] + ["this is a string"]
        )
        inferred_schema = self._infer_schema()
        # since the type is number, we know the string at the end was not considered
        assert inferred_schema == {self._HEADER_NAME: {"type": "number"}}

    def test_given_empty_csv_file_when_infer_schema_then_raise_config_error(self) -> None:
        self._csv_reader.read_data.return_value = []
        with pytest.raises(AirbyteTracedException) as exception:
            self._infer_schema()
        assert exception.value.failure_type == FailureType.config_error

    def _test_infer_schema(self, rows: List[str], expected_type: str) -> None:
        self._csv_reader.read_data.return_value = ({self._HEADER_NAME: row} for row in rows)
        inferred_schema = self._infer_schema()
        assert inferred_schema == {self._HEADER_NAME: {"type": expected_type}}

    def _infer_schema(self):
        loop = asyncio.new_event_loop()
        task = loop.create_task(
            self._parser.infer_schema(self._config, self._file, self._stream_reader, self._logger)
        )
        loop.run_until_complete(task)
        return task.result()


class CsvFileBuilder:
    def __init__(self) -> None:
        self._prefixed_rows: List[str] = []
        self._data: List[str] = []

    def with_prefixed_rows(self, rows: List[str]) -> "CsvFileBuilder":
        self._prefixed_rows = rows
        return self

    def with_data(self, data: List[str]) -> "CsvFileBuilder":
        self._data = data
        return self

    def build(self) -> io.StringIO:
        return io.StringIO("\n".join(self._prefixed_rows + self._data))


class CsvReaderTest(unittest.TestCase):
    _CONFIG_NAME = "config_name"

    def setUp(self) -> None:
        self._config_format = CsvFormat()
        self._config = Mock()
        self._config.name = self._CONFIG_NAME
        self._config.format = self._config_format

        self._file = RemoteFile(uri="a uri", last_modified=datetime.now())
        self._stream_reader = Mock(spec=AbstractFileBasedStreamReader)
        self._logger = Mock(spec=logging.Logger)
        self._csv_reader = _CsvReader()

    def test_given_skip_rows_when_read_data_then_do_not_considered_prefixed_rows(self) -> None:
        self._config_format.skip_rows_before_header = 2
        self._stream_reader.open_file.return_value = (
            CsvFileBuilder()
            .with_prefixed_rows(["first line", "second line"])
            .with_data(
                [
                    "header",
                    "a value",
                    "another value",
                ]
            )
            .build()
        )

        data_generator = self._read_data()

        assert list(data_generator) == [{"header": "a value"}, {"header": "another value"}]

    def test_given_autogenerated_headers_when_read_data_then_generate_headers_with_format_fX(
        self,
    ) -> None:
        self._config_format.header_definition = CsvHeaderAutogenerated()
        self._stream_reader.open_file.return_value = (
            CsvFileBuilder().with_data(["0,1,2,3,4,5,6"]).build()
        )

        data_generator = self._read_data()

        assert list(data_generator) == [
            {"f0": "0", "f1": "1", "f2": "2", "f3": "3", "f4": "4", "f5": "5", "f6": "6"}
        ]

    def test_given_skip_row_before_and_after_and_autogenerated_headers_when_read_data_then_generate_headers_with_format_fX(
        self,
    ) -> None:
        self._config_format.header_definition = CsvHeaderAutogenerated()
        self._config_format.skip_rows_before_header = 1
        self._config_format.skip_rows_after_header = 2
        self._stream_reader.open_file.return_value = (
            CsvFileBuilder()
            .with_data(["skip before", "skip after 1", "skip after 2", "0,1,2,3,4,5,6"])
            .build()
        )

        data_generator = self._read_data()

        assert list(data_generator) == [
            {"f0": "0", "f1": "1", "f2": "2", "f3": "3", "f4": "4", "f5": "5", "f6": "6"}
        ]

    def test_given_user_provided_headers_when_read_data_then_use_user_provided_headers(
        self,
    ) -> None:
        self._config_format.header_definition = CsvHeaderUserProvided(
            column_names=["first", "second", "third", "fourth"]
        )
        self._stream_reader.open_file.return_value = CsvFileBuilder().with_data(["0,1,2,3"]).build()

        data_generator = self._read_data()

        assert list(data_generator) == [{"first": "0", "second": "1", "third": "2", "fourth": "3"}]

    def test_given_len_mistmatch_on_user_provided_headers_when_read_data_then_raise_error(
        self,
    ) -> None:
        self._config_format.header_definition = CsvHeaderUserProvided(
            column_names=["missing", "one", "column"]
        )
        self._stream_reader.open_file.return_value = CsvFileBuilder().with_data(["0,1,2,3"]).build()

        with pytest.raises(RecordParseError):
            list(self._read_data())

    def test_given_skip_rows_after_header_when_read_data_then_do_not_parse_skipped_rows(
        self,
    ) -> None:
        self._config_format.skip_rows_after_header = 1
        self._stream_reader.open_file.return_value = (
            CsvFileBuilder()
            .with_data(
                [
                    "header1,header2",
                    "skipped row: important that the is no comma in this string to test if columns do not match in skipped rows",
                    "a value 1,a value 2",
                    "another value 1,another value 2",
                ]
            )
            .build()
        )

        data_generator = self._read_data()

        assert list(data_generator) == [
            {"header1": "a value 1", "header2": "a value 2"},
            {"header1": "another value 1", "header2": "another value 2"},
        ]

    def test_given_quote_delimiter_when_read_data_then_parse_properly(self) -> None:
        self._config_format.delimiter = "|"
        self._stream_reader.open_file.return_value = (
            CsvFileBuilder()
            .with_data(
                [
                    "header1|header2",
                    "a value 1|a value 2",
                ]
            )
            .build()
        )

        data_generator = self._read_data()

        assert list(data_generator) == [{"header1": "a value 1", "header2": "a value 2"}]

    def test_given_quote_char_when_read_data_then_parse_properly(self) -> None:
        self._config_format.quote_char = "|"
        self._stream_reader.open_file.return_value = (
            CsvFileBuilder()
            .with_data(
                [
                    "header1,header2",
                    "|a,value,1|,|a,value,2|",
                ]
            )
            .build()
        )

        data_generator = self._read_data()

        assert list(data_generator) == [{"header1": "a,value,1", "header2": "a,value,2"}]

    def test_given_escape_char_when_read_data_then_parse_properly(self) -> None:
        self._config_format.escape_char = "|"
        self._stream_reader.open_file.return_value = (
            CsvFileBuilder()
            .with_data(
                [
                    "header1,header2",
                    '"a |"value|", 1",a value 2',
                ]
            )
            .build()
        )

        data_generator = self._read_data()

        assert list(data_generator) == [{"header1": 'a "value", 1', "header2": "a value 2"}]

    def test_given_double_quote_on_when_read_data_then_parse_properly(self) -> None:
        self._config_format.double_quote = True
        self._stream_reader.open_file.return_value = (
            CsvFileBuilder()
            .with_data(
                [
                    "header1,header2",
                    '1,"Text with doublequote: ""This is a text."""',
                ]
            )
            .build()
        )

        data_generator = self._read_data()

        assert list(data_generator) == [
            {"header1": "1", "header2": 'Text with doublequote: "This is a text."'}
        ]

    def test_given_double_quote_off_when_read_data_then_parse_properly(self) -> None:
        self._config_format.double_quote = False
        self._stream_reader.open_file.return_value = (
            CsvFileBuilder()
            .with_data(
                [
                    "header1,header2",
                    '1,"Text with doublequote: ""This is a text."""',
                ]
            )
            .build()
        )

        data_generator = self._read_data()

        assert list(data_generator) == [
            {"header1": "1", "header2": 'Text with doublequote: "This is a text."""'}
        ]

    def test_given_generator_closed_when_read_data_then_unregister_dialect(self) -> None:
        self._stream_reader.open_file.return_value = (
            CsvFileBuilder()
            .with_data(
                [
                    "header",
                    "a value",
                    "another value",
                ]
            )
            .build()
        )

        dialects_before = set(csv.list_dialects())
        data_generator = self._read_data()
        next(data_generator)
        [new_dialect] = set(csv.list_dialects()) - dialects_before
        assert self._CONFIG_NAME in new_dialect
        data_generator.close()
        assert new_dialect not in csv.list_dialects()

    def test_given_too_many_values_for_columns_when_read_data_then_raise_exception_and_unregister_dialect(
        self,
    ) -> None:
        self._stream_reader.open_file.return_value = (
            CsvFileBuilder()
            .with_data(
                [
                    "header",
                    "a value",
                    "too many values,value,value,value",
                ]
            )
            .build()
        )

        dialects_before = set(csv.list_dialects())
        data_generator = self._read_data()
        next(data_generator)
        [new_dialect] = set(csv.list_dialects()) - dialects_before
        assert self._CONFIG_NAME in new_dialect

        with pytest.raises(RecordParseError):
            next(data_generator)
        assert new_dialect not in csv.list_dialects()

    def test_given_too_few_values_for_columns_when_read_data_then_raise_exception_and_unregister_dialect(
        self,
    ) -> None:
        self._stream_reader.open_file.return_value = (
            CsvFileBuilder()
            .with_data(
                [
                    "header1,header2,header3",
                    "value1,value2,value3",
                    "a value",
                ]
            )
            .build()
        )

        dialects_before = set(csv.list_dialects())
        data_generator = self._read_data()
        next(data_generator)
        [new_dialect] = set(csv.list_dialects()) - dialects_before
        assert self._CONFIG_NAME in new_dialect

        with pytest.raises(RecordParseError):
            next(data_generator)
        assert new_dialect not in csv.list_dialects()

    def test_parse_field_size_larger_than_default_python_maximum(self) -> None:
        # The field size for the csv module will be set as a side-effect of initializing the CsvParser class.
        assert csv.field_size_limit() == 2**31
        long_string = 130 * 1024 * "a"
        assert len(long_string.encode("utf-8")) > (128 * 1024)
        self._stream_reader.open_file.return_value = (
            CsvFileBuilder()
            .with_data(
                [
                    "header1,header2",
                    f'1,"{long_string}"',
                ]
            )
            .build()
        )

        data_generator = self._read_data()
        assert list(data_generator) == [{"header1": "1", "header2": long_string}]

    def test_read_data_with_encoding_error(self) -> None:
        self._stream_reader.open_file.return_value = (
            CsvFileBuilder().with_data(["something"]).build()
        )
        self._csv_reader._get_headers = Mock(
            side_effect=UnicodeDecodeError("encoding", b"", 0, 1, "reason")
        )

        with pytest.raises(AirbyteTracedException) as ate:
            data_generator = self._read_data()
            assert len(list(data_generator)) == 0

        assert "encoding" in ate.value.message
        assert self._csv_reader._get_headers.called

    def _read_data(self) -> Generator[Dict[str, str], None, None]:
        data_generator = self._csv_reader.read_data(
            self._config,
            self._file,
            self._stream_reader,
            self._logger,
            FileReadMode.READ,
        )
        return data_generator


_TOO_MANY_VALUES = [
    "header",
    "too many values,value,value,value",
]

_TOO_FEW_VALUES = [
    "header1,header2,header3",
    "a value",
    "value1,value2,value3",
]


@pytest.mark.parametrize(
    "ignore_errors_on_fields_mismatch, data, error_message",
    [
        (
            True,
            _TOO_MANY_VALUES,
            "Skipping record in line 2 of file a uri; invalid CSV row with missing column.",
        ),
        (
            False,
            _TOO_MANY_VALUES,
            None,
        ),
        (
            True,
            _TOO_FEW_VALUES,
            "Skipping record in line 2 of file a uri; invalid CSV row with extra column.",
        ),
        (
            False,
            _TOO_FEW_VALUES,
            None,
        ),
    ],
)
def test_mismatch_between_values_and_header(
    ignore_errors_on_fields_mismatch, data, error_message
) -> None:
    config_format = CsvFormat()
    config = Mock()
    config.name = "config_name"
    config.format = config_format

    file = RemoteFile(uri="a uri", last_modified=datetime.now())
    stream_reader = Mock(spec=AbstractFileBasedStreamReader)
    logger = Mock(spec=logging.Logger)
    csv_reader = _CsvReader()

    config_format.ignore_errors_on_fields_mismatch = ignore_errors_on_fields_mismatch
    stream_reader.open_file.return_value = CsvFileBuilder().with_data(data).build()

    data_generator = csv_reader.read_data(
        config,
        file,
        stream_reader,
        logger,
        FileReadMode.READ,
    )

    # Check if exception is raised only when skip_wrong_number_of_fields_error is False
    if not ignore_errors_on_fields_mismatch:
        with pytest.raises(RecordParseError):
            print(list(data_generator))
    else:
        # Expect no exception when skip_wrong_number_of_fields_error is True
        list(data_generator)
        logger.error.assert_called_with(error_message)


def test_encoding_is_passed_to_stream_reader() -> None:
    parser = CsvParser()
    encoding = "ascii"
    stream_reader = Mock()
    mock_obj = stream_reader.open_file.return_value
    mock_obj.__enter__ = Mock(return_value=io.StringIO("c1,c2\nv1,v2"))
    mock_obj.__exit__ = Mock(return_value=None)
    file = RemoteFile(uri="s3://bucket/key.csv", last_modified=datetime.now())
    config = FileBasedStreamConfig(
        name="test",
        validation_policy="Emit Record",
        file_type="csv",
        format=CsvFormat(encoding=encoding),
    )
    list(
        parser.parse_records(
            config,
            file,
            stream_reader,
            logger,
            {"properties": {"c1": {"type": "string"}, "c2": {"type": "string"}}},
        )
    )
    stream_reader.open_file.assert_has_calls(
        [
            mock.call(file, FileReadMode.READ, encoding, logger),
            mock.call().__enter__(),
            mock.call().__exit__(None, None, None),
        ]
    )

    mock_obj.__enter__ = Mock(return_value=io.StringIO("c1,c2\nv1,v2"))
    loop = asyncio.get_event_loop()
    loop.run_until_complete(parser.infer_schema(config, file, stream_reader, logger))
    stream_reader.open_file.assert_called_with(file, FileReadMode.READ, encoding, logger)
    stream_reader.open_file.assert_has_calls(
        [
            mock.call(file, FileReadMode.READ, encoding, logger),
            mock.call().__enter__(),
            mock.call().__exit__(None, None, None),
            mock.call(file, FileReadMode.READ, encoding, logger),
            mock.call().__enter__(),
            mock.call().__exit__(None, None, None),
        ]
    )
