import datetime as dt

import pytest
from SearchIncidentsV2 import *

data_test_check_if_found_incident = [
    ([], "failed to get incidents from xsoar.\nGot: []"),
    (None, "failed to get incidents from xsoar.\nGot: None"),
    ("", "failed to get incidents from xsoar.\nGot: "),
    ([{"Contents": {"data": None}}], False),
    ([{"Contents": {"data": "test"}}], True),
    ([{"Contents": {"test": "test"}}], "{'test': 'test'}"),
]


def create_sample_incidents(start, end, incident_type):
    return [
        {
            "id": f"{i}",
            "type": f"{incident_type}",
            "name": f"incident-{i}",
        }
        for i in range(start, end + 1)
    ]


def execute_get_incidents_command_side_effect(amount_of_mocked_incidents):
    mocked_incidents = []

    default_jump = 100
    counter = 1
    for start in range(1, amount_of_mocked_incidents + 1, default_jump):
        end = min(amount_of_mocked_incidents, default_jump * counter)

        incident_type = "A" if counter % 2 == 0 else "B"
        if counter == 1:
            execute_command_mock = [{"Contents": {"data": create_sample_incidents(start, end, incident_type), "total": 0}}]
        else:
            execute_command_mock = {"data": create_sample_incidents(start, end, incident_type)}

        mocked_incidents.append(execute_command_mock)
        counter += 1

    if mocked_incidents:
        mocked_incidents.append({"data": None})

    return mocked_incidents


@pytest.mark.parametrize("_input, expected_output", data_test_check_if_found_incident)
def test_check_if_found_incident(_input, expected_output):
    try:
        output = check_if_found_incident(_input)
    except DemistoException as error:
        output = str(error)
    assert output == expected_output, f"check_if_found_incident({_input}) returns: {output}. expected: {expected_output}"


data_test_is_valid_args = [
    ("\\", True),
    ("\n", True),
    ("\\n", True),
    ("\\t", True),
    ("\\\\", True),
    ('\\"', True),
    ("\\r", True),
    ("\\7", True),
    ("\\'", True),
]


@pytest.mark.parametrize("_input, expected_output", data_test_is_valid_args)
def test_is_valid_args(_input, expected_output):
    try:
        output = is_valid_args({"test": _input})
    except DemistoException:
        output = False

    assert output == expected_output, f"is_valid_args({_input}) returns: {output}. expected: {expected_output}"


data_test_is_id_valid = [
    (123, True),
    ("123", True),
    (123.3, False),
    ("1,2,3", True),
    ([1, 2, 3], True),
    ("[1,2,3]", True),
]


@pytest.mark.parametrize("id_value, expected_output", data_test_is_id_valid)
def test_is_incident_id_valid(id_value, expected_output):
    """
    Given:
        - an incident id

    When:
        - running the script as a playbook task

    Then:
        - validating that the incident is is a valid input from type int or str

    """
    try:
        is_valid_id = is_valid_args({"id": id_value})
    except DemistoException:
        is_valid_id = False
    assert is_valid_id == expected_output


EXAMPLE_INCIDENTS_RAW_RESPONSE = [
    {"id": "1", "type": "TypeA", "name": "Phishing", "created": "2025-01-01T10:00:00Z"},
    {"id": "2", "type": "Type-A", "name": "Phishing Campaign", "created": "2025-01-01T10:01:00Z"},
    {"id": "3", "type": "SomeType-A", "name": "Go Phish", "created": "2025-01-01T10:02:00Z"},
    {"id": "4", "type": "Another Type-A", "name": "Hello", "created": "2025-01-01T10:03:00Z"},
]

FILTER_TO_MATCHED_INCIDENTS = [
    ({"type": "Type-A"}, ["2"]),
    ({"type": "Type-A, SomeTypeA"}, ["2"]),
    ({"type": ["Type-A", "SomeType-A"]}, ["2", "3"]),
    ({"type": "Another"}, []),
    ({"name": "Phishing"}, ["1"]),
    ({"name": "Phishing,Phishing Campaign"}, ["1", "2"]),
]

INCIDENT = [
    {
        "CustomFields": {
            "hostname": "host_name",  # noqa
            "initiatedby": "initiated_by",
            "targetprocessname": "target_process_name",
            "username": "user_name",
        },
        "status": 0,
        "severity": 1,
    },
]


@pytest.mark.parametrize("args, expected_incident_ids", FILTER_TO_MATCHED_INCIDENTS)
def test_apply_filters(args, expected_incident_ids):
    incidents = apply_filters(EXAMPLE_INCIDENTS_RAW_RESPONSE, args)
    assert [incident["id"] for incident in incidents] == expected_incident_ids


def get_incidents_mock(_, args, extract_contents=True, fail_on_error=True):
    ids = args.get("id", "").split(",")
    incidents_list = [incident for incident in EXAMPLE_INCIDENTS_RAW_RESPONSE if incident["id"] in ids]
    if not extract_contents:
        return [{"Contents": {"data": incidents_list, "total": len(incidents_list)}}]
    return {"data": None}


@pytest.mark.parametrize(
    "args,filtered_args,expected_result",
    [
        # ({}, {}, []),
        ({"trimevents": "0"}, {}, []),
        ({"trimevents": "1"}, {"trimevents": "1"}, []),
        ({"id": 1}, {"id": "1", "todate": "2025-01-01T10:00:00Z"}, [EXAMPLE_INCIDENTS_RAW_RESPONSE[0]]),
        (
            {"id": [1, 2]},
            {"id": "1,2", "todate": "2025-01-01T10:00:00Z"},
            [EXAMPLE_INCIDENTS_RAW_RESPONSE[0], EXAMPLE_INCIDENTS_RAW_RESPONSE[1]],
        ),
        (
            {"id": "1,2"},
            {"id": "1,2", "todate": "2025-01-01T10:00:00Z"},
            [EXAMPLE_INCIDENTS_RAW_RESPONSE[0], EXAMPLE_INCIDENTS_RAW_RESPONSE[1]],
        ),
    ],
)
def test_filter_events(mocker, args, filtered_args, expected_result):
    """
    Given:
        - The script args.

    When:
        - Running the search_incidents function.

    Then:
        - Validating the outputs as expected.
        - Validating the filtered args that was sent to the api is as expected.
    """
    import SearchIncidentsV2

    execute_mock = mocker.patch.object(SearchIncidentsV2, "execute_command", side_effect=get_incidents_mock)
    if "trimevents" in args:
        # trimevents supported only in XSIAM
        mocker.patch.object(demisto, "demistoVersion", return_value={"platform": "xsiam"})
    else:
        mocker.patch.object(demisto, "demistoVersion", return_value={"platform": "xsoar"})
    _, res, _ = SearchIncidentsV2.search_incidents(args)
    assert res == expected_result
    assert execute_mock.call_count == 1
    assert execute_mock.call_args[0][1] == filtered_args


def get_incidents_mock_include_informational(_, args, extract_contents=True, fail_on_error=True):
    incidents = [
        {"id": "1", "informational": False, "created": "2025-01-01T09:59:00Z"},
        {"id": "2", "informational": False, "created": "2025-01-01T10:00:00Z"},
    ]

    includeinformational = args.get("includeinformational", None)

    if includeinformational:
        incidents.extend(
            [
                {"id": "3", "informational": True, "created": "2025-01-01T10:01:00Z"},
                {"id": "4", "informational": True, "created": "2025-01-01T10:02:00Z"},
            ]
        )

    if not extract_contents:
        return [{"Contents": {"data": incidents, "total": len(incidents)}}]

    return {"Contents": {"data": incidents}}


INCLUDE_INFORMATIONAL_FIXED_TIME = dt.datetime(2024, 10, 1, 15, 0, 0)
INCLUDE_INFORMATIONAL_NOW = INCLUDE_INFORMATIONAL_FIXED_TIME.isoformat()
INCLUDE_INFORMATIONAL_5_HOURS_AGO = dt.datetime(2024, 10, 1, 10, 0, 0).isoformat()
INCLUDE_INFORMATIONAL_3_HOURS_AGO = dt.datetime(2024, 10, 1, 12, 0, 0).isoformat()


@pytest.mark.parametrize(
    "args,expected_filtered_args,expected_result",
    [
        (
            {"includeinformational": "true", "fromdate": "3 hours ago", "todate": "now"},
            {"includeinformational": True, "fromdate": INCLUDE_INFORMATIONAL_3_HOURS_AGO, "todate": INCLUDE_INFORMATIONAL_NOW},
            ["1", "2", "3", "4"],
        ),
        (
            {"includeinformational": "true", "fromdate": "6 hours ago", "todate": "now"},
            {"includeinformational": True, "fromdate": INCLUDE_INFORMATIONAL_5_HOURS_AGO, "todate": INCLUDE_INFORMATIONAL_NOW},
            ["1", "2", "3", "4"],
        ),
        ({"includeinformational": "true"}, {}, ValueError),
        ({"includeinformational": "false"}, {"todate": "2025-01-01T09:59:00Z"}, ["1", "2"]),
        ({}, {"todate": "2025-01-01T09:59:00Z"}, ["1", "2"]),
        ({"includeinformational": "true", "todate": "now"}, {}, ValueError),
        ({"includeinformational": "true", "fromdate": "3 hours ago"}, {}, ValueError),
    ],
)
def test_includeinformational_logic(mocker, args, expected_filtered_args, expected_result):
    """
    Given:
    - Case A: includeinformational=True, with relative fromdate and todate provided, both dates within 5 hours from
    current time.
    - Case B: includeinformational=true, fromdate is more than 5 hours ago, requiring an adjustment of fromdate.
    - Case C: includeinformational=true, but fromdate and todate are missing, should raise a ValueError.
    - Case D: includeinformational=false, meaning no informational incidents should be returned.
    - Case E: includeinformational not present, should behave like false and no informational incidents should be returned.
    - Case F: includeinformational=true,but fromdate is missing, should raise a ValueError.
    - Case G: includeinformational=true, but todate is missing, should raise a ValueError.

    When:
       - Running the search_incidents function to process the input args.

    Then:
       - Case A: Ensure both regular and informational incidents are returned when includeinformational=true.
       - Case B: Ensure fromdate is adjusted to 5 hours ago and incidents (regular + informational) are fetched correctly.
       - Case C: Verify that a ValueError is raised due to missing fromdate and todate when includeinformational=true.
       - Case D: Ensure only regular incidents are returned when includeinformational=false.
       - Case E: Ensure only regular incidents are returned when includeinformational=None (default behavior).
       - Case F: Ensure that a ValueError is raised when fromdate is missing but includeinformational=true.
       - Case G: Ensure that a ValueError is raised when todate is missing but includeinformational=true.
    """
    import SearchIncidentsV2

    mocker.patch.object(dt, "datetime", autospec=True)
    mocker.patch.object(SearchIncidentsV2, "is_xsiam", return_value=True)
    dt.datetime.utcnow.return_value = INCLUDE_INFORMATIONAL_FIXED_TIME

    class MockDateTime:
        def utcnow(self):
            return INCLUDE_INFORMATIONAL_FIXED_TIME

    mocker.patch("SearchIncidentsV2.datetime", MockDateTime())

    # mock arg to datetime since internally uses utc which is not the same as the fixed datetime
    mocker.patch.object(
        SearchIncidentsV2,
        "arg_to_datetime",
        side_effect=lambda x: None
        if x is None
        else INCLUDE_INFORMATIONAL_FIXED_TIME - dt.timedelta(hours=int(x.split()[0]))
        if "hours ago" in x
        else INCLUDE_INFORMATIONAL_FIXED_TIME,
    )

    execute_mock = mocker.patch.object(SearchIncidentsV2, "execute_command", side_effect=get_incidents_mock_include_informational)

    if expected_result is ValueError:
        with pytest.raises(ValueError):
            SearchIncidentsV2.search_incidents(args)
    else:
        _, res, _ = SearchIncidentsV2.search_incidents(args)
        assert [incident["id"] for incident in res] == expected_result
        assert execute_mock.call_count == 1
        assert execute_mock.call_args[0][1] == expected_filtered_args


@pytest.mark.parametrize(
    "platform, version, link_type, expected_result",
    [
        ("x2", "", "alertLink", "alerts?action:openAlertDetails="),
        ("platform", "", "alertLink", "alerts?action:openAlertDetails="),
        ("xsoar", "6.10.0", "incidentLink", "#/Details/"),
        ("xsoar", "8.4.0", "incidentLink", "/Details/"),
    ],
)
def test_add_incidents_link(mocker, platform, version, link_type, expected_result):
    mocker.patch.object(demisto, "getLicenseCustomField", return_value="")
    mocker.patch.object(demisto, "demistoUrls", return_value={"server": ""})
    if version:
        mocker.patch.object(demisto, "demistoVersion", return_value={"version": version})
    data = add_incidents_link(EXAMPLE_INCIDENTS_RAW_RESPONSE, platform)
    assert expected_result in data[0][link_type]


def test_transform_to_alert_data():
    incident = transform_to_alert_data(INCIDENT)[0]
    assert incident["hostname"] == "host_name"
    assert incident["status"] == "PENDING"
    assert incident["severity"] == "LOW"


def test_summarize_incidents():
    assert summarize_incidents(
        {"add_fields_to_summarize_context": "test"}, [{"id": "test", "CustomFields": {}}], platform="xsoar"
    ) == [
        {
            "closed": "n/a",
            "created": "n/a",
            "id": "test",
            "incidentLink": "n/a",
            "name": "n/a",
            "owner": "n/a",
            "severity": "n/a",
            "status": "n/a",
            "test": "n/a",
            "type": "n/a",
        }
    ]


@pytest.mark.parametrize(
    "amount_of_mocked_incidents, args, expected_incidents_length",
    [
        (306, {}, 100),
        (306, {"limit": "200"}, 200),
        (105, {"limit": "200"}, 105),
        (1000, {"limit": "100"}, 100),
        (1000, {"limit": "1100"}, 1000),
        (205, {"limit": "105.5"}, 105),
        (700, {"limit": "500", "type": "A"}, 300),
        (1500, {"limit": "250", "type": "A"}, 250),
        (500, {"limit": "100", "name": "incident-8"}, 1),
    ],
)
def test_main_flow_with_limit(mocker, amount_of_mocked_incidents, args, expected_incidents_length):
    """
    Given:
       - Case A: Total of 306 incidents matching in XSOAR and no args
       - Case B: Total of 306 incidents matching in XSOAR and limit = 200
       - Case C: Total of 105 incidents matching in XSOAR and limit = 200
       - Case D: Total of 1000 incidents matching in XSOAR and limit = 100
       - Case E: Total of 1000 incidents matching in XSOAR and limit = 1100
       - Case F: Total of 205 incidents matching in XSOAR and limit = 105.5
       - Case G: Total of 700 incidents and only 300 incidents which match type = 'A' and limit = 500
       - Case H: Total of 1500 incidents and only 700 incidents which match type = 'A' and limit = 250
       - Case I: Total of 500 incidents and only 1 incident that its name = 'incident-8' and limit = 100

    When:
       - Running the main flow

    Then:
       - Case A: Make sure only 100 incidents have been returned (default of the limit if not stated)
       - Case B: Make sure only 200 incidents have been returned.
       - Case C: Make sure only 105 incidents have been returned (cause there are fewer incidents than requested limit)
       - Case D: Make sure only 100 incidents have been returned.
       - Case E: Make sure only 1000 incidents have been returned.
       - Case F: Make sure only 105 (rounded) incidents have been returned.
       - Case G: Make sure only 300 incidents have been returned.
       - Case H: Make sure only 250 incidents have been returned.
       - Case I: Make sure only one incident has been returned.

    """
    import SearchIncidentsV2

    mocker.patch.object(
        SearchIncidentsV2, "execute_command", side_effect=execute_get_incidents_command_side_effect(amount_of_mocked_incidents)
    )

    mocker.patch.object(demisto, "args", return_value=args)
    return_results_mocker = mocker.patch.object(SearchIncidentsV2, "return_results")
    mocker.patch("SearchIncidentsV2.get_demisto_version", return_value={})

    SearchIncidentsV2.main()

    assert return_results_mocker.called
    assert len(return_results_mocker.call_args[0][0].outputs) == expected_incidents_length


def test_query_argument_with_unicode_escape(mocker):
    """
    Given:
       - A query to search incidents with unicode escape

    When:
       - Executing the SearchIncidentsV2 command and check arg validation.

    Then:
       - Make sure the query format is correct and is_valid_args method is not failed.
    """
    import SearchIncidentsV2

    special_chars = ["\n", "\t", "\\", '"', "'", "\7", "\r", "\\x", "\\X", "\\N", "\\u", "\\U"]
    args_array = [
        {"query": f"`(username:'user{special_char}sername') and (name:'name_1' or name:'name_2')`"}
        for special_char in special_chars
    ]
    mocker.patch.object(demisto, "args", side_effect=args_array)
    mocker.patch.object(SearchIncidentsV2, "return_results")
    mocker.patch("SearchIncidentsV2.get_demisto_version", return_value={})
    for _ in special_chars:
        mocker.patch.object(SearchIncidentsV2, "execute_command", side_effect=execute_get_incidents_command_side_effect(1))
        SearchIncidentsV2.main()


def test_todate_set_and_pagination(mocker):
    """
    Given: Duplicated incidents from executing getIncidents command to the platform in 2 different requests in a row.
    When: Running the command with limit that is larger than the page size.
    Then: Validate that the command return incident list without duplications by changing the todate to
     be the first incident time from the first run.
    """
    import SearchIncidentsV2

    # Page 1 returns exactly page_size incidents
    page1_incidents = [{"created": f"2025-01-01T10:0{i}:00Z", "id": i} for i in range(5)]
    # Page 2 returns fewer, triggering end-of-pagination
    page2_incidents = [{"created": "2025-01-01T09:59:00Z", "id": 101}]

    # Mock execute_command behavior
    execute_command_mocker = mocker.patch.object(
        SearchIncidentsV2,
        "execute_command",
        side_effect=[
            # 1st call: initial getIncidents
            [{"Contents": {"data": page1_incidents}}],
            # 2nd call: getIncidents inside loop (page2)
            {"data": page2_incidents},
        ],
    )

    args = {"limit": 10, "size": 5}
    SearchIncidentsV2.search_incidents(args=args)

    # After first page, todate should be set to the very first created timestamp
    expected_todate = page1_incidents[0]["created"]

    # Confirm that execute_command was called a second time with args including todate
    _, second_call_kwargs = execute_command_mocker.call_args_list
    assert second_call_kwargs[0][1]["todate"] == expected_todate