#!/usr/bin/env python
# -*- coding: utf-8 -*-

# Copyright (c) 2021, Cisco Systems
# GNU General Public License v3.0+ (see LICENSE or https://www.gnu.org/licenses/gpl-3.0.txt)

from __future__ import (absolute_import, division, print_function)
__metaclass__ = type
from ansible.plugins.action import ActionBase
try:
    from ansible_collections.ansible.utils.plugins.module_utils.common.argspec_validate import (
        AnsibleArgSpecValidator,
    )
except ImportError:
    ANSIBLE_UTILS_IS_INSTALLED = False
else:
    ANSIBLE_UTILS_IS_INSTALLED = True
from ansible.errors import AnsibleActionFail
from ansible_collections.cisco.dnac.plugins.plugin_utils.dnac import (
    DNACSDK,
    dnac_argument_spec,
)

# Get common arguments specification
argument_spec = dnac_argument_spec()
# Add arguments specific for this module
argument_spec.update(dict(
    periodicRefresh=dict(type="bool"),
    sourceIP=dict(type="str"),
    destIP=dict(type="str"),
    sourcePort=dict(type="str"),
    destPort=dict(type="str"),
    gtCreateTime=dict(type="str"),
    ltCreateTime=dict(type="str"),
    protocol=dict(type="str"),
    status=dict(type="str"),
    taskId=dict(type="str"),
    lastUpdateTime=dict(type="str"),
    limit=dict(type="int"),
    offset=dict(type="int"),
    order=dict(type="str"),
    sortBy=dict(type="str"),
    flowAnalysisId=dict(type="str"),
    headers=dict(type="dict"),
))

required_if = []
required_one_of = []
mutually_exclusive = []
required_together = []


class ActionModule(ActionBase):
    def __init__(self, *args, **kwargs):
        if not ANSIBLE_UTILS_IS_INSTALLED:
            raise AnsibleActionFail("ansible.utils is not installed. Execute 'ansible-galaxy collection install ansible.utils'")
        super(ActionModule, self).__init__(*args, **kwargs)
        self._supports_async = False
        self._supports_check_mode = True
        self._result = None

    # Checks the supplied parameters against the argument spec for this module
    def _check_argspec(self):
        aav = AnsibleArgSpecValidator(
            data=self._task.args,
            schema=dict(argument_spec=argument_spec),
            schema_format="argspec",
            schema_conditionals=dict(
                required_if=required_if,
                required_one_of=required_one_of,
                mutually_exclusive=mutually_exclusive,
                required_together=required_together,
            ),
            name=self._task.action,
        )
        valid, errors, self._task.args = aav.validate()
        if not valid:
            raise AnsibleActionFail(errors)

    def get_object(self, params):
        new_object = dict(
            periodic_refresh=params.get("periodicRefresh"),
            source_ip=params.get("sourceIP"),
            dest_ip=params.get("destIP"),
            source_port=params.get("sourcePort"),
            dest_port=params.get("destPort"),
            gt_create_time=params.get("gtCreateTime"),
            lt_create_time=params.get("ltCreateTime"),
            protocol=params.get("protocol"),
            status=params.get("status"),
            task_id=params.get("taskId"),
            last_update_time=params.get("lastUpdateTime"),
            limit=params.get("limit"),
            offset=params.get("offset"),
            order=params.get("order"),
            sort_by=params.get("sortBy"),
            flow_analysis_id=params.get("flowAnalysisId"),
            headers=params.get("headers"),
        )
        return new_object

    def run(self, tmp=None, task_vars=None):
        self._task.diff = False
        self._result = super(ActionModule, self).run(tmp, task_vars)
        self._result["changed"] = False
        self._check_argspec()

        self._result.update(dict(dnac_response={}))

        dnac = DNACSDK(params=self._task.args)

        id = self._task.args.get("flowAnalysisId")
        if id:
            response = dnac.exec(
                family="path_trace",
                function='retrieves_previous_pathtrace',
                params=self.get_object(self._task.args),
            )
            self._result.update(dict(dnac_response=response))
            self._result.update(dnac.exit_json())
            return self._result
        if not id:
            response = dnac.exec(
                family="path_trace",
                function='retrives_all_previous_pathtraces_summary',
                params=self.get_object(self._task.args),
            )
            self._result.update(dict(dnac_response=response))
            self._result.update(dnac.exit_json())
            return self._result