import demistomock as demisto
import pytest
from Anomali_Enterprise import *

VENDOR_NAME = "Anomali Enterprise"


@pytest.fixture(autouse=True)
def handle_calling_context(mocker):
    mocker.patch.object(demisto, "callingContext", {"context": {"IntegrationBrand": VENDOR_NAME}})


def test_domain_command_benign(mocker):
    """
    Given:
        - a domain

    When:
        - mocking the server response for a benign domain, running domain_command

    Then:
        - validating that the domain score is unknown
        - validating the returned context data

    """
    client = Client(server_url="test", username="test", password="1234", verify=True, proxy=False)
    return_data = {"data": {"test.com": {"malware_family": "", "probability": 0}}, "result": "success"}
    mocker.patch.object(client, "domain_request", return_value=return_data)
    command_results = domain_command(client, args={"domain": "test.com"})
    output = command_results[0].to_context().get("EntryContext", {})
    dbot_key = "DBotScore(val.Indicator && val.Indicator == obj.Indicator && val.Vendor == obj.Vendor && val.Type == obj.Type)"
    expected_result = {
        "Domain": [{"Name": "test.com"}],
        "DBotScore": [{"Indicator": "test.com", "Type": "domain", "Vendor": "Anomali Enterprise", "Score": 0}],
    }
    assert output.get("Domain(val.Name && val.Name == obj.Name)", []) == expected_result.get("Domain")
    assert output.get(dbot_key, []) == expected_result.get("DBotScore")


def test_domain_command_suspicious(mocker):
    """
    Given:
        - a domain

    When:
        - mocking the server response for a suspicious domain, running domain_command

    Then:
        - validating that the domain score is suspicious
        - validating the returned context data, including the suspicious context

    """
    client = Client(server_url="test", username="test", password="1234", verify=True, proxy=False)
    return_data = {"data": {"suspicious.com": {"malware_family": "my_suspicious", "probability": 0.4}}, "result": "success"}
    mocker.patch.object(client, "domain_request", return_value=return_data)
    command_results = domain_command(client, args={"domain": "suspicious.com"})
    output = command_results[0].to_context().get("EntryContext", {})
    dbot_key = "DBotScore(val.Indicator && val.Indicator == obj.Indicator && val.Vendor == obj.Vendor && val.Type == obj.Type)"
    expected_result = {
        "Domain": [{"Name": "suspicious.com", "Tags": "DGA"}],
        "DBotScore": [{"Indicator": "suspicious.com", "Type": "domain", "Vendor": "Anomali Enterprise", "Score": 2}],
    }

    assert output.get("Domain(val.Name && val.Name == obj.Name)", []) == expected_result.get("Domain")
    assert output.get(dbot_key, []) == expected_result.get("DBotScore")


def test_domain_command_malicious(mocker):
    """
    Given:
        - a domain

    When:
        - mocking the server response for a malicious domain, running domain_command

    Then:
        - validating that the domain score is malicious
        - validating the returned context data, including the malicious context

    """
    client = Client(server_url="test", username="test", password="1234", verify=True, proxy=False)
    return_data = {"data": {"malicious.com": {"malware_family": "my_malware", "probability": 0.9}}, "result": "success"}
    mocker.patch.object(client, "domain_request", return_value=return_data)
    command_results = domain_command(client, args={"domain": "malicious.com"})
    output = command_results[0].to_context().get("EntryContext", {})
    dbot_key = "DBotScore(val.Indicator && val.Indicator == obj.Indicator && val.Vendor == obj.Vendor && val.Type == obj.Type)"
    expected_result = {
        "Domain": [
            {"Malicious": {"Description": "my_malware", "Vendor": "Anomali Enterprise"}, "Name": "malicious.com", "Tags": "DGA"}
        ],
        "DBotScore": [{"Indicator": "malicious.com", "Type": "domain", "Vendor": "Anomali Enterprise", "Score": 3}],
    }

    assert output.get("Domain(val.Name && val.Name == obj.Name)", []) == expected_result.get("Domain")
    assert output.get(dbot_key, []) == expected_result.get("DBotScore")


def test_start_search_job_command(mocker):
    """
    Given:
        - a from_, to_ and indicators to search

    When:
        - mocking the server response for the start of a job, running start_search_job

    Then:
        - validating the arguments are parsed correctly
        - validating the returned context data

    """
    client = Client(server_url="test", username="test", password="1234", verify=True, proxy=False)
    return_data = {"jobid": "1234"}
    mocker.patch.object(client, "start_search_job_request", return_value=return_data)
    command_results = start_search_job(client, args={"from": "1 month", "indicators": "8.8.8.8"})
    output = command_results.to_context().get("EntryContext", {})
    expected_result = {"status": "in progress", "job_id": "1234"}

    assert output["AnomaliEnterprise.ForensicSearch(val.job_id && val.job_id == obj.job_id)"] == expected_result


def test_get_search_job_result_command_with_matches(mocker):
    """
    Given:
        - a job_id

    When:
        - mocking the server response for getting the results of a job with matches, running get_search_job_result

    Then:
        - validating the returned context data

    """
    client = Client(server_url="test", username="test", password="1234", verify=True, proxy=False)
    return_data = {
        "status": "completed",
        "category": "forensic_api_result",
        "totalFiles": 1,
        "streamResults": [
            {
                "count": "1",
                "indicator": "",
                "itype": "",
                "severity": "",
                "event_time": "2020-10-14T09:10:00.000+0000",
                "age": "",
                "event.dest": "8.8.8.8",
                "confidence": "",
                "event.src": "8.8.8.8",
            }
        ],
        "scannedEvents": 269918,
        "result_file_name": "org0_1234_job1234_result.tar.gz",
        "complete": True,
        "processedFiles": 1,
        "totalMatches": 1,
    }
    mocker.patch.object(client, "get_search_job_result_request", return_value=return_data)
    command_results = get_search_job_result(client, args={"job_id": "111"})[0]
    output = command_results.to_context().get("EntryContext", {})
    expected_result = {
        "status": "completed",
        "category": "forensic_api_result",
        "totalFiles": 1,
        "streamResults": [
            {
                "count": "1",
                "indicator": "",
                "itype": "",
                "severity": "",
                "event_time": "2020-10-14T09:10:00.000+0000",
                "age": "",
                "event.dest": "8.8.8.8",
                "confidence": "",
                "event.src": "8.8.8.8",
            }
        ],
        "scannedEvents": 269918,
        "result_file_name": "org0_1234_job1234_result.tar.gz",
        "complete": True,
        "processedFiles": 1,
        "totalMatches": 1,
        "job_id": "111",
    }

    assert output.get("AnomaliEnterprise.ForensicSearch(val.job_id && val.job_id == obj.job_id)", []) == expected_result


def test_get_search_job_result_command_with_matches_and_limit(mocker):
    """
    Given:
        - a job_id

    When:
        - mocking the server response for getting the results of a job with matches, running get_search_job_result
        - limit the stream results

    Then:
        - validating that the context was limited

    """
    client = Client(server_url="test", username="test", password="1234", verify=True, proxy=False)
    return_data = {
        "status": "completed",
        "category": "forensic_api_result",
        "totalFiles": 1,
        "streamResults": [
            {
                "count": "1",
                "indicator": "",
                "itype": "",
                "severity": "",
                "event_time": "2020-10-14T09:10:00.000+0000",
                "age": "",
                "event.dest": "8.8.8.8",
                "confidence": "",
                "event.src": "8.8.8.8",
            },
            {
                "count": "1",
                "indicator": "",
                "itype": "",
                "severity": "",
                "event_time": "2020-11-14T09:10:00.000+0000",
                "age": "",
                "event.dest": "8.8.8.8",
                "confidence": "",
                "event.src": "8.8.8.8",
            },
            {
                "count": "1",
                "indicator": "",
                "itype": "",
                "severity": "",
                "event_time": "2020-12-14T09:10:00.000+0000",
                "age": "",
                "event.dest": "8.8.8.8",
                "confidence": "",
                "event.src": "8.8.8.8",
            },
        ],
        "scannedEvents": 269918,
        "result_file_name": "org0_1234_job1234_result.tar.gz",
        "complete": True,
        "processedFiles": 1,
        "totalMatches": 3,
    }
    mocker.patch.object(client, "get_search_job_result_request", return_value=return_data)
    command_results = get_search_job_result(client, args={"job_id": "111", "limit": "2"})[0]
    output = command_results.to_context().get("EntryContext", {})

    assert len(output["AnomaliEnterprise.ForensicSearch(val.job_id && val.job_id == obj.job_id)"]["streamResults"]) == 2


def test_get_search_job_result_command_without_matches(mocker):
    """
    Given:
        - a job_id

    When:
        - mocking the server response for getting the results of a job without matches, running get_search_job_result

    Then:
        - validating the returned context data
        - validating the returned human readable

    """
    client = Client(server_url="test", username="test", password="1234", verify=True, proxy=False)
    return_data = {
        "totalFiles": 0,
        "streamResults": [],
        "scannedEvents": 269918,
        "complete": True,
        "processedFiles": 0,
        "totalMatches": 0,
    }
    mocker.patch.object(client, "get_search_job_result_request", return_value=return_data)
    command_results = get_search_job_result(client, args={"job_id": "222"})[0]

    output = command_results.to_context().get("EntryContext", {})
    expected_result = {
        "status": "completed",
        "totalFiles": 0,
        "streamResults": [],
        "scannedEvents": 269918,
        "complete": True,
        "processedFiles": 0,
        "totalMatches": 0,
        "job_id": "222",
    }
    assert output.get("AnomaliEnterprise.ForensicSearch(val.job_id && val.job_id == obj.job_id)", []) == expected_result

    hr_ = command_results.to_context().get("HumanReadable", "")
    assert hr_ == "No matches found for the given job ID: 222."


def test_get_search_job_result_command_expired_job_id(mocker):
    """
    Given:
        - a job_id

    When:
        - mocking the server response for an expired job id, running get_search_job_result

    Then:
        - validating the raised error

    """
    client = Client(server_url="test", username="test", password="1234", verify=True, proxy=False)
    return_data = {"error": "Error: Cannot find the jobId: job222"}
    mocker.patch.object(client, "get_search_job_result_request", return_value=return_data)

    with pytest.raises(Exception, match="Error: Cannot find the jobId: job222. Job ID might have expired."):
        get_search_job_result(client, args={"job_id": "job222"})