import json

import pytest
from CommonServerPython import DemistoException
from ExabeamDataLake import (
    Client,
    _parse_entry,
    calculate_page_parameters,
    dates_in_range,
    get_date,
    get_limit,
    query_data_lake_command,
)


class MockClient(Client):
    def __init__(self, base_url: str, username: str, password: str, verify: bool, proxy: bool):
        pass

    def query_data_lake_command(self) -> None:
        return


def test_query_data_lake_command(mocker):
    """
    GIVEN:
        a mocked Client with an empty response,

    WHEN:
        'query_data_lake_command' function is called with the provided arguments,

    THEN:
        it should query the data lake, return log entries, and format them into readable output.
    """
    args = {"page": 1, "page_size": 50, "start_time": "2024-05-01T00:00:00", "end_time": "2024-05-08T00:00:00", "query": "*"}
    mock_response = {
        "responses": [
            {
                "hits": {
                    "hits": [
                        {"_id": "FIRST_ID", "_source": {"@timestamp": "2024-05-01T12:00:00", "message": "example message 1"}},
                        {
                            "_id": "SECOND_ID",
                            "_source": {
                                "@timestamp": "2024-05-02T12:00:00",
                                "message": "example message 2",
                                "only_hr": "nothing",
                            },
                        },
                    ]
                }
            }
        ]
    }

    mocker.patch.object(Client, "query_datalake_request", return_value=mock_response)

    client = MockClient("", "", "", False, False)

    response = query_data_lake_command(client, args, cluster_name="local")

    result = response.to_context().get("EntryContext", {}).get("ExabeamDataLake.Event", [])

    assert {"_id": "FIRST_ID", "_source": {"@timestamp": "2024-05-01T12:00:00", "message": "example message 1"}} in result
    assert {
        "_id": "SECOND_ID",
        "_source": {"@timestamp": "2024-05-02T12:00:00", "message": "example message 2", "only_hr": "nothing"},
    } in result
    expected_result = (
        "### Logs\n"
        "|Id|Vendor|Product|Created_at|Message|\n"
        "|---|---|---|---|---|\n"
        "| FIRST_ID |  |  | 2024-05-01T12:00:00 | example message 1 |\n"
        "| SECOND_ID |  |  | 2024-05-02T12:00:00 | example message 2 |\n"
    )
    assert expected_result in response.readable_output


def test_query_data_lake_command_no_response(mocker):
    """
    GIVEN:
        a mocked Client with an empty response,
    WHEN:
        'query_data_lake_command' function is called with the provided arguments,
    THEN:
        it should return a readable output indicating no results found.

    """
    args = {"page": 1, "page_size": 50, "start_time": "2024-05-01T00:00:00", "end_time": "2024-05-08T00:00:00", "query": "*"}

    mocker.patch.object(Client, "query_datalake_request", return_value={})

    response = query_data_lake_command(MockClient("", "", "", False, False), args, "local")

    assert response.readable_output == "### Logs\n**No entries.**\n"


def test_get_date(mocker):
    """
    GIVEN:
        a mocked CommonServerPython.arg_to_datetime function returning a specific time string,

    WHEN:
        'get_date' function is called with the provided time string,

    THEN:
        it should return the date part of the provided time string in the 'YYYY-MM-DD' format.
    """
    time = "2024.05.01T14:00:00"
    expected_result = "2024-05-01"

    with mocker.patch("CommonServerPython.arg_to_datetime", return_value=time):
        result = get_date(time, "start_time")

    assert result == expected_result


@pytest.mark.parametrize(
    "start_time_str, end_time_str, expected_output",
    [
        (
            "2024-05-01",
            "2024-05-10",
            [
                "2024.05.01",
                "2024.05.02",
                "2024.05.03",
                "2024.05.04",
                "2024.05.05",
                "2024.05.06",
                "2024.05.07",
                "2024.05.08",
                "2024.05.09",
                "2024.05.10",
            ],
        ),
        ("2024-05-01", "2024-05-05", ["2024.05.01", "2024.05.02", "2024.05.03", "2024.05.04", "2024.05.05"]),
    ],
)
def test_dates_in_range_valid(start_time_str, end_time_str, expected_output):
    """
    GIVEN:
        start_time_str, end_time_str, and expected_output representing start time, end time, and expected output, respectively,

    WHEN:
        'dates_in_range' function is called with the provided start and end time strings,

    THEN:
        it should return a list of dates in range between the start time and end time.
    """
    result = dates_in_range(start_time_str, end_time_str)
    assert result == expected_output


@pytest.mark.parametrize(
    "start_time_str, end_time_str, expected_output",
    [
        ("2024-05-10", "2024-05-01", "Start time must be before end time"),
        ("2024-05-01", "2024-05-15", "Difference between start time and end time must be less than or equal to 10 days"),
    ],
)
def test_dates_in_range_invalid(start_time_str, end_time_str, expected_output):
    """
    GIVEN:
        start_time_str, end_time_str, and expected_output representing start time, end time, and expected output, respectively,

    WHEN:
        'dates_in_range' function is called with the provided start and end time strings that are invalid,

    THEN:
        it should raise a DemistoException with the expected error message.
    """
    with pytest.raises(DemistoException, match=expected_output):
        dates_in_range(start_time_str, end_time_str)


@pytest.mark.parametrize(
    "args, from_param_expected, size_param_expected",
    [({"page": "1", "page_size": "50", "limit": None}, 0, 50), ({"page": None, "page_size": None, "limit": "100"}, 0, 100)],
)
def test_calculate_page_parameters_valid(args, from_param_expected, size_param_expected):
    """
    GIVEN:
        args, from_param_expected, and size_param_expected representing input arguments,
        expected 'from' parameter, and expected 'size' parameter, respectively,

    WHEN:
        'calculate_page_parameters' function is called with the provided arguments,

    THEN:
        it should return the expected 'from' and 'size' parameters based on the input arguments.
    """
    from_param, size_param = calculate_page_parameters(args)
    assert from_param == from_param_expected
    assert size_param == size_param_expected


@pytest.mark.parametrize(
    "args",
    [
        ({"page": "1", "page_size": None, "limit": "100"}),
        ({"page": "1", "page_size": "25", "limit": "100"}),
        ({"page": None, "page_size": "25", "limit": None}),
    ],
)
def test_calculate_page_parameters_invalid(mocker, args):
    """
    GIVEN:
        args representing input arguments with invalid combinations of 'page', 'page_size', and 'limit',

    WHEN:
        'calculate_page_parameters' function is called with the provided arguments,

    THEN:
        it should raise a DemistoException with the expected error message.
    """
    with pytest.raises(DemistoException, match="You can only provide 'limit' alone or 'page' and 'page_size' together."):
        calculate_page_parameters(args)


def test_parse_entry():
    """
    GIVEN:
        an entry dictionary representing a log entry with various fields such as '_id', '_source', 'Vendor', '@timestamp',
        'Product', and 'message',

    WHEN:
        '_parse_entry' function is called with the provided entry dictionary,

    THEN:
        it should parse the entry and return a dictionary with the expected fields renamed for consistency.
    """
    entry = {
        "_id": "12345",
        "_source": {
            "Vendor": "VendorName",
            "@timestamp": "2024-05-09T12:00:00Z",
            "Product": "ProductA",
            "message": "Some message here",
        },
    }

    parsed_entry = _parse_entry(entry)
    assert parsed_entry["Id"] == "12345"
    assert parsed_entry["Vendor"] == "VendorName"
    assert parsed_entry["Created_at"] == "2024-05-09T12:00:00Z"
    assert parsed_entry["Product"] == "ProductA"
    assert parsed_entry["Message"] == "Some message here"


def test_query_datalake_request(mocker):
    """
    GIVEN:
        a mocked '_login' method and '_http_request' method of the Client class,
        a base URL, username, password, headers, proxy, and search query,

    WHEN:
        'query_datalake_request' method of the Client class is called with the provided search query,

    THEN:
        it should send a POST request to the data lake API with the search query,
        using the correct base URL and headers including 'kbn-version' and 'Content-Type'.
    """
    mock_login = mocker.patch("ExabeamDataLake.Client._login")
    mock_http_request = mocker.patch("ExabeamDataLake.Client._http_request")

    base_url = "http://example.com"
    username = "user123"
    password = "password123"
    proxy = False
    args = {"query": "*"}
    from_param = 0
    size_param = 10
    cluster_name = "example_cluster"
    dates_in_format = ["index1", "index2"]

    instance = Client(base_url=base_url, username=username, password=password, verify=False, proxy=proxy)

    expected_search_query = {
        "sortBy": [{"field": "@timestamp", "order": "desc", "unmappedType": "date"}],
        "query": "*",
        "from": 0,
        "size": 10,
        "clusterWithIndices": [{"clusterName": "example_cluster", "indices": ["index1", "index2"]}],
    }

    instance.query_datalake_request(args, from_param, size_param, cluster_name, dates_in_format)

    mock_http_request.assert_called_once_with(
        "POST",
        full_url="http://example.com/dl/api/es/search",
        data=json.dumps(expected_search_query),
        headers={"Content-Type": "application/json", "Csrf-Token": "nocheck"},
    )
    mock_login.assert_called_once()


@pytest.mark.parametrize(
    "args, arg_name, expected_output",
    [({}, "limit", 50), ({"limit": None}, "limit", 50), ({"limit": 1000}, "limit", 1000), ({"limit": 5000}, "limit", 3000)],
)
def test_get_limit(args, arg_name, expected_output):
    """
    GIVEN:
        a dictionary containing the 'limit' argument with various values.

    WHEN:
        'get_limit' function is called with the provided dictionary.

    THEN:
        it should return the limit value if specified and less than or equal to 3000;
        otherwise, it should return 3000 as the maximum limit.
        If the 'limit' argument is not present in the dictionary or is None, it should return 50 as the default limit.
    """
    assert get_limit(args, arg_name) == expected_output