import urllib3
from CommonServerPython import *

# Disable insecure warnings
urllib3.disable_warnings()

VENDOR_NAME = "Anomali Enterprise"

""" CLIENT CLASS """


class Client(BaseClient):
    """
    Client to use in the Anomali Enterprise integration. Overrides BaseClient
    """

    def __init__(self, server_url: str, username: str, password: str, verify: bool, proxy: bool):
        headers = {"Content-Type": "application/json", "ae-authorization": f"{username}:{password}"}
        super().__init__(base_url=server_url, verify=verify, proxy=proxy, headers=headers)
        self._username = username
        self._password = password

    def start_search_job_request(self, from_: str, to_: str, indicators: list[str]) -> dict:
        """Initiate a search job.
        Args:
            from_: from which time to initiate the search
            to_: to which time to initiate the search
            indicators: indicators to search
        Returns:
            Response from API.
        """
        data = {"username": self._username, "password": self._password, "from": from_, "to": to_, "indicators": indicators}
        return self._http_request(method="POST", url_suffix="/api/v1/mars/forensic", headers=self._headers, json_data=data)

    def get_search_job_result_request(self, job_id: str) -> dict:
        """Retrieve a search job results.
        Args:
            job_id: the search job uuid
        Returns:
            Response from API.
        """
        params = {"jobid": job_id}
        return self._http_request(method="GET", url_suffix="/api/v1/mars/forensic", headers=self._headers, params=params)

    def domain_request(self, domain: list[str]) -> dict:
        """Retrieve information regarding a domain.
        Args:
            domain: the domain name to search
        Returns:
            Response from API.
        """
        data = {"username": self._username, "password": self._password, "domains": domain}
        return self._http_request(method="POST", url_suffix="/api/v1/mars/dga_score", headers=self._headers, json_data=data)


""" COMMAND FUNCTIONS """


def module(client: Client) -> str:
    """
    Performs basic get request
    """
    response = client.domain_request(argToList("google.com"))
    if response.get("result") != "success":
        raise Exception(
            "To Use Anomali Enterprise, make sure you are using the current username and password "
            "and have the needed permissions."
        )
    return "ok"


def start_search_job(client: Client, args: dict) -> CommandResults:
    """Start a search job for IOCs.

    Args:
        client: Client object with request.
        args: Usually demisto.args()

    Returns:
        CommandResults.
    """
    from_ = str(args.get("from", "1 day"))
    to_ = str(args.get("to", ""))
    indicators = argToList(args.get("indicators"))

    timestamp_format = "%Y-%m-%dT%H:%M:%S.%f"
    from_iso = parse_date_range(from_, date_format=timestamp_format)[0]
    if to_:
        to_iso = parse_date_range(to_, date_format=timestamp_format)[0]
    else:
        to_iso = datetime.now().strftime(timestamp_format)

    response = client.start_search_job_request(from_iso, to_iso, indicators)

    start_search_outputs = {"status": "in progress", "job_id": response.get("jobid", "")}

    return CommandResults(
        outputs_prefix="AnomaliEnterprise.ForensicSearch",
        outputs_key_field="job_id",
        outputs=start_search_outputs,
        readable_output=tableToMarkdown(name="Forensic search started:", t=start_search_outputs, removeNull=True),
        raw_response=response,
    )


def get_search_job_result(client: Client, args: dict) -> list[CommandResults]:
    """Get the search job result.

    Args:
        client: Client object with request.
        args: Usually demisto.args()

    Returns:
        CommandResults.
    """
    job_ids = argToList(args.get("job_id"))
    limit = int(args.get("limit", "20"))
    verbose = args.get("verbose", "true") == "true"

    command_results: list = []
    for job_id in job_ids:
        response = client.get_search_job_result_request(job_id)
        if "error" in response:
            raise Exception(f"{response.get('error')!s}. Job ID might have expired.")

        outputs = response
        outputs.update({"job_id": job_id})
        if not response.get("complete"):
            human_readable = f"job ID: {job_id} is still in progress."
            outputs.update({"status": "in progress"})
        else:
            if response.get("totalMatches"):
                headers = ["status", "job_id", "category", "totalFiles", "scannedEvents"]
                human_readable = tableToMarkdown(name="Forensic search metadata:", t=response, headers=headers, removeNull=True)
                if verbose:
                    human_readable += tableToMarkdown(
                        name="Forensic search results:", t=response.get("streamResults", [])[:limit], removeNull=True
                    )
                if "streamResults" in outputs:
                    outputs["streamResults"] = outputs.get("streamResults", [])[:limit]  # limit the outputs to the context
            else:
                human_readable = f"No matches found for the given job ID: {job_id}."
                response.update({"status": "completed"})

        command_result = CommandResults(
            outputs_prefix="AnomaliEnterprise.ForensicSearch",
            outputs_key_field="job_id",
            outputs=response,
            readable_output=human_readable,
            raw_response=response,
        )
        command_results.append(command_result)
    return command_results


def dga_domain_status(client: Client, args: dict) -> CommandResults:
    """Search domain DGA status.

    Args:
        client: Client object with request.
        args: Usually demisto.args()

    Returns:
        CommandResults.
    """
    domains = argToList(str(args.get("domains")))

    response = client.domain_request(domains)

    domains_data = response.get("data", {})
    outputs = []
    for domain in domains:
        output = {
            "domain": domain,
            "malware_family": domains_data.get(domain, {}).get("malware_family"),
            "probability": domains_data.get(domain, {}).get("probability"),
        }
        outputs.append(output)
    return CommandResults(
        outputs_prefix="AnomaliEnterprise.DGA",
        outputs_key_field="domain",
        outputs=outputs,
        readable_output=tableToMarkdown(name="Domains DGA:", t=outputs, removeNull=True),
        raw_response=response,
    )


def domain_command(client: Client, args: dict) -> list[CommandResults]:
    """Search domain DGA status.

    Args:
        client: Client object with request.
        args: Usually demisto.args()

    Returns:
        CommandResults and DBotScore.
    """
    domain_list = argToList(args.get("domain"))

    response = client.domain_request(domain_list)
    domains_data = response.get("data", {})
    command_results_list = []
    for domain in domain_list:
        output = {
            "domain": domain,
            "malware_family": domains_data.get(domain, {}).get("malware_family"),
            "probability": domains_data.get(domain, {}).get("probability"),
        }
        score = calculate_dbot_score(domains_data.get(domain, {}))

        dbot_score = Common.DBotScore(
            indicator=domain,
            indicator_type=DBotScoreType.DOMAIN,
            integration_name=VENDOR_NAME,
            score=score,
            malicious_description=str(output.get("malware_family", "")),
            reliability=demisto.params().get("integrationReliability"),
        )

        domain = Common.Domain(
            domain=domain,
            dbot_score=dbot_score,
            tags="DGA" if score in [Common.DBotScore.SUSPICIOUS, Common.DBotScore.BAD] else None,
        )

        command_results = CommandResults(
            outputs_prefix="AnomaliEnterprise.DGA",
            outputs_key_field="domain",
            outputs=output,
            readable_output=tableToMarkdown(name="Domains DGA:", t=output, removeNull=True),
            indicator=domain,
            raw_response=response,
        )
        command_results_list.append(command_results)

    return command_results_list


def calculate_dbot_score(domain_data: dict) -> int:
    """There is no distinction between benign to unknown domains in Anomali Enterprise
    malware family exists and prob > 0.6 -> 3
    malware family exists and prob < 0.6 -> 2
    else -> 0

    Args:
        domain_data: the domain data

    Returns:
        DBot Score.
    """
    score = Common.DBotScore.NONE
    if domain_data.get("malware_family", {}):
        if float(domain_data.get("probability", 0)) > 0.6:
            score = Common.DBotScore.BAD
        else:
            score = Common.DBotScore.SUSPICIOUS
    return score


""" MAIN FUNCTION """


def main() -> None:
    """
    Parse and validates integration params, runs integration commands.
    """
    params = demisto.params()
    server_url = params.get("url")
    username = params.get("credentials", {}).get("identifier")
    password = params.get("credentials", {}).get("password")
    verify = not params.get("insecure", False)
    proxy = params.get("proxy") is True

    command = demisto.command()
    LOG(f"Command being called in {VENDOR_NAME} is: {command}")

    try:
        client = Client(server_url=server_url, username=username, password=password, verify=verify, proxy=proxy)
        commands = {
            "anomali-enterprise-retro-forensic-search": start_search_job,
            "anomali-enterprise-retro-forensic-search-results": get_search_job_result,
            "anomali-enterprise-dga-domain-status": dga_domain_status,
            "domain": domain_command,
        }
        if command == "test-module":
            return_results(module(client))
        elif command in commands:
            return_results(commands[command](client, demisto.args()))
        else:
            raise NotImplementedError(f'Command "{command}" is not implemented.')

    except Exception as err:
        return_error(f"Failed to execute {command} command. Error: {err!s} \n tracback: {traceback.format_exc()}")


""" ENTRY POINT """

if __name__ in ["__main__", "builtin", "builtins"]:
    main()