import json


def util_load_json(path):
    with open(path, encoding="utf-8") as f:
        return json.loads(f.read())


"""*****COMMAND FUNCTIONS****"""


def test_get_model_breach(requests_mock):
    """Tests darktrace-get--model-breach command function.

    Configures requests_mock instance to generate the appropriate
    get_alerts API response, loaded from a local JSON file. Checks
    the output of the command function with the expected output.
    """
    from DarktraceMBs import Client, get_model_breach_command

    # GIVEN an integration is configured to Darktrace
    mock_api_response = util_load_json("test_data/get_breach.json")
    requests_mock.get("https://mock.darktrace.com/modelbreaches?pbid=95", json=mock_api_response)

    client = Client(base_url="https://mock.darktrace.com", verify=False, auth=("examplepub", "examplepri"))

    # WHEN the desired model breach has id 95
    args = {
        "pbid": "95",
    }

    integration_response = get_model_breach_command(client, args)
    expected_response = util_load_json("test_data/formatted_get_breach.json")

    # THEN the response should be returned and formatted
    assert integration_response.outputs == expected_response
    assert integration_response.outputs_prefix == "Darktrace.ModelBreach"


def test_fetch_incidents(requests_mock):
    """Tests the fetch-incidents command function.

    Configures requests_mock instance to generate the appropriate
    get_alert API response, loaded from a local JSON file. Checks
    the output of the command function with the expected output.
    """
    from DarktraceMBs import Client, fetch_incidents

    # GIVEN an integration is configured and fetch incidents
    mock_response = util_load_json("test_data/fetch_breach.json")
    requests_mock.get(
        "https://usw1-51965-01.cloud.darktrace.com/modelbreaches?minscore=0.0&starttime=1598932817000", json=mock_response
    )

    client = Client(base_url="https://usw1-51965-01.cloud.darktrace.com/", verify=False, auth=("examplepub", "examplepri"))

    # WHEN the most recent call was made on Mon, Aug 31, 2020 9 PM Pacific
    last_run = {
        "last_fetch": 1598932817000  # Mon, Aug 31, 2020 9 PM Pacific
    }

    _, integration_response = fetch_incidents(
        client=client, max_alerts=20, last_run=last_run, first_fetch_time="1 day ago", min_score=0
    )

    # THEN the relevant information will be fetched and pulled
    expected_response = util_load_json("test_data/formatted_fetch_breach.json")

    assert integration_response == expected_response
    assert len(integration_response) == 2


def test_get_model_breach_connections(mocker):
    """Tests the get-modelbreach-connections command function.
    Configures requests_mock instance to generate the appropriate
    get_alert API response, loaded from a local JSON file. Checks
    the output of the command function with the expected output.
    """
    from DarktraceMBs import Client, get_model_breach_connections_command

    # GIVEN an integration is configured and you would like to find similar devices
    mock_api_response = util_load_json("test_data/breach_details.json")
    mocker.patch.object(Client, "get_model_breach_connections", return_value=mock_api_response)
    client = Client(base_url="https://mock.darktrace.com", verify=False, auth=("examplepub", "examplepri"))

    # WHEN the specified device id is 1 and there are 2 results max desired
    args = {"pbid": "123", "count": "2", "endtime": 1629803362, "offset": 0}

    # THEN the context will be updated and information about similar devices will be fetched and pulled
    integration_response = get_model_breach_connections_command(client, args)
    expected_response = util_load_json("test_data/formatted_breach_details.json")

    assert integration_response.outputs == expected_response
    assert len(mock_api_response) == len(expected_response) + 1
    assert integration_response.outputs_prefix == "Darktrace.ModelBreach"


def test_get_model(requests_mock):
    """Tests the get-model command function.
    Configures requests_mock instance to generate the appropriate
    get_alert API response, loaded from a local JSON file. Checks
    the output of the command function with the expected output.
    """
    from DarktraceMBs import Client, get_model_command

    # GIVEN an integration is configured and you would like to find similar devices
    mock_api_response = util_load_json("test_data/model.json")
    requests_mock.get("https://mock.darktrace.com/models?uuid=80010119-6d7f-0000-0305-5e0000000325", json=mock_api_response)

    client = Client(base_url="https://mock.darktrace.com", verify=False, auth=("examplepub", "examplepri"))

    # WHEN the specified device id is 1 and there are 2 results max desired
    args = {"uuid": "80010119-6d7f-0000-0305-5e0000000325"}

    # THEN the context will be updated and information about similar devices will be fetched and pulled
    integration_response = get_model_command(client, args)
    expected_response = util_load_json("test_data/formatted_model.json")

    assert integration_response.outputs == expected_response
    assert integration_response.outputs_prefix == "Darktrace.Model"


def test_get_model_component(requests_mock):
    """Tests the get-component command function.
    Configures requests_mock instance to generate the appropriate
    get_alert API response, loaded from a local JSON file. Checks
    the output of the command function with the expected output.
    """
    from DarktraceMBs import Client, get_model_component_command

    # GIVEN an integration is configured and you would like to find similar devices
    mock_api_response = util_load_json("test_data/component.json")
    requests_mock.get("https://mock.darktrace.com/components?cid=254503", json=mock_api_response)

    client = Client(base_url="https://mock.darktrace.com", verify=False, auth=("examplepub", "examplepri"))

    # WHEN the specified device id is 1 and there are 2 results max desired
    args = {"cid": "254503"}

    # THEN the context will be updated and information about similar devices will be fetched and pulled
    integration_response = get_model_component_command(client, args)
    expected_response = util_load_json("test_data/formatted_component.json")

    assert integration_response.outputs == expected_response
    assert integration_response.outputs_prefix == "Darktrace.Model.Component"


def test_get_model_breach_comments(requests_mock):
    """Tests darktrace-get-model-breach-comments command function.

    Configures requests_mock instance to generate the appropriate
    get_alerts API response, loaded from a local JSON file. Checks
    the output of the command function with the expected output.
    """
    from DarktraceMBs import Client, get_model_breach_comments_command

    # GIVEN an integration is configured and comments are desired
    mock_api_response = util_load_json("test_data/get_comments.json")
    requests_mock.get("https://mock.darktrace.com/mbcomments?pbid=2507", json=mock_api_response)

    client = Client(base_url="https://mock.darktrace.com", verify=False, auth=("examplepub", "examplepri"))

    # WHEN the desired model breach has id 46
    args = {
        "pbid": "2507",
    }

    integration_response = get_model_breach_comments_command(client, args)
    expected_response = util_load_json("test_data/formatted_get_comments.json")

    # THEN the comments should be returned and formatted
    assert integration_response.outputs == expected_response
    assert integration_response.outputs_prefix == "Darktrace.ModelBreach.Comment"


def test_acknowledge_model_breach(requests_mock):
    """Tests darktrace-acknowledge-model-breach command function.

    Configures requests_mock instance to generate the appropriate
    get_alerts API response, loaded from a local JSON file. Checks
    the output of the command function with the expected output.
    """
    from DarktraceMBs import Client, acknowledge_model_breach_command

    # GIVEN an integration is configured and you would like to acknowledge a breach
    mock_api_response = util_load_json("test_data/ack_success.json")
    requests_mock.post("https://mock.darktrace.com/modelbreaches/2509/acknowledge", json=mock_api_response)

    client = Client(base_url="https://mock.darktrace.com", verify=False, auth=("examplepub", "examplepri"))

    # WHEN the desired model breach has id 111
    args = {
        "pbid": "2509",
    }

    integration_response = acknowledge_model_breach_command(client, args)
    expected_response = util_load_json("test_data/formatted_ack_success.json")

    # THEN the breach should be acknowledged, context updated, and message posted
    assert integration_response.outputs == expected_response
    assert integration_response.outputs_prefix == "Darktrace.ModelBreach"
    assert integration_response.outputs_key_field == "pbid"


def test_unacknowledge(requests_mock):
    """Tests darktrace-unacknowledge command function.

    Configures requests_mock instance to generate the appropriate
    get_alerts API response, loaded from a local JSON file. Checks
    the output of the command function with the expected output.
    """
    from DarktraceMBs import Client, unacknowledge_model_breach_command

    # GIVEN an integration is configured and you would like to unacknowledge a breach
    mock_api_response = util_load_json("test_data/ack_success.json")
    requests_mock.post("https://mock.darktrace.com/modelbreaches/2509/unacknowledge", json=mock_api_response)

    client = Client(base_url="https://mock.darktrace.com", verify=False, auth=("examplepub", "examplepri"))

    # WHEN the desired model breach has id 111
    args = {
        "pbid": "2509",
    }

    integration_response = unacknowledge_model_breach_command(client, args)
    expected_response = util_load_json("test_data/formatted_unack_success.json")

    # THEN the breach should be acknowledged, context updated, and message posted
    assert integration_response.outputs == expected_response
    assert integration_response.outputs_prefix == "Darktrace.ModelBreach"
    assert integration_response.outputs_key_field == "pbid"


def test_post_comment_to_model_breach(requests_mock):
    from DarktraceMBs import Client, post_comment_to_model_breach_command

    # GIVEN an integration is configured and you would like to unacknowledge a breach
    mock_api_response = util_load_json("test_data/comment_post.json")
    requests_mock.post("https://mock.darktrace.com/modelbreaches/2509/comments", json=mock_api_response)

    client = Client(base_url="https://mock.darktrace.com", verify=False, auth=("examplepub", "examplepri"))

    # WHEN the desired model breach has id 111
    args = {"pbid": "2509", "message": "Test comment post"}

    integration_response = post_comment_to_model_breach_command(client, args)
    expected_response = util_load_json("test_data/formatted_comment_post.json")

    # THEN the breach should be acknowledged, context updated, and message posted
    assert integration_response.outputs == expected_response
    assert integration_response.outputs_prefix == "Darktrace.ModelBreach"
    assert integration_response.outputs_key_field == "pbid"


def test_acknowledge_model_breach_UV(requests_mock):
    """Tests darktrace-acknowledge-model-breach command function.

    Configures requests_mock instance to generate the appropriate
    get_alerts API response, loaded from a local JSON file. Checks
    the output of the command function with the expected output.
    """
    from DarktraceMBs import Client, acknowledge_model_breach_command

    # GIVEN an integration is configured and you would like to acknowledge a breach
    mock_api_response = util_load_json("test_data/ack_success_UV.json")
    requests_mock.post("https://mock.darktrace.com/modelbreaches/1000000000001/acknowledge", json=mock_api_response)

    client = Client(base_url="https://mock.darktrace.com", verify=False, auth=("examplepub", "examplepri"))

    # WHEN the desired model breach has id 111
    args = {
        "pbid": "1000000000001",
    }

    integration_response = acknowledge_model_breach_command(client, args)
    expected_response = util_load_json("test_data/formatted_ack_success_UV.json")

    # THEN the breach should be acknowledged, context updated, and message posted
    assert integration_response.outputs == expected_response
    assert integration_response.outputs_prefix == "Darktrace.ModelBreach"
    assert integration_response.outputs_key_field == "pbid"


def test_test_module(requests_mock):
    """
    Tests the test module function
    """
    from DarktraceMBs import Client, test_module

    # GIVEN an integration is configured and you would like to test the configuration
    mock_api_response = util_load_json("test_data/fetch_breach.json")
    requests_mock.get(
        "https://mock.darktrace.com/modelbreaches?minscore=0&starttime=1598932817000&minimal=false&deviceattop=true",
        json=mock_api_response,
    )

    client = Client(base_url="https://mock.darktrace.com/", verify=False, auth=("examplepub", "examplepri"))

    first_fetch_time = 1598932817000

    integration_response = test_module(client, first_fetch_time)
    expected_response = "ok"

    # THEN if there is no error, test_module should return 'ok'
    assert len(integration_response) == 2
    assert isinstance(expected_response, str)


def test_helper_stringify_data():
    """
    Tests the stringify_data helper function.
    """
    from DarktraceMBs import stringify_data

    # GIVEN you have a params data structure in dictionary format and would like to test the stringify_data helper function
    data_1 = {"first": 1}
    data_2 = {"first": 1, "second": 2}
    data_3 = {}
    data_4 = {"test_1": "string_1", "test_2": 2}

    # WHEN calling the helper function
    integration_response_1 = stringify_data(data_1)
    integration_response_2 = stringify_data(data_2)
    integration_response_3 = stringify_data(data_3)
    integration_response_4 = stringify_data(data_4)

    # THEN the following outputs are expected
    assert integration_response_1 == "first=1"
    assert integration_response_2 == "first=1&second=2"
    assert integration_response_3 == ""
    assert integration_response_4 == "test_1=string_1&test_2=2"