# Copyright 2025 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#      https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from secops_soar_mcp import bindings
from mcp.server.fastmcp import FastMCP
from secops_soar_mcp.utils.consts import Endpoints
from secops_soar_mcp.utils.models import ApiManualActionDataModel, EmailContent, TargetEntity
import json
from typing import Optional, List, Dict, Union, Annotated
from pydantic import Field
from secops_soar_mcp.utils.pydantic_list_field import PydanticListField


def register_tools(mcp: FastMCP):
    # This function registers all tools (actions) for the Axonius integration.

    @mcp.tool()
    async def axonius_ping(case_id: Annotated[str, Field(..., description="The ID of the case.")], alert_group_identifiers: Annotated[List[str], Field(..., description="Identifiers for the alert groups.")], target_entities: Annotated[List[TargetEntity], PydanticListField(TargetEntity, description="Optional list of specific target entities (Identifier, EntityType) to run the action on.")], scope: Annotated[str, Field(default="All entities", description="Defines the scope for the action.")]) -> dict:
        """Test connectivity to the Axonius with parameters provided at the integration configuration page on the Marketplace tab.

        Returns:
            dict: A dictionary containing the result of the action execution.
        """
        final_target_entities: Optional[List[TargetEntity]] = None
        final_scope: Optional[str] = None
        is_predefined_scope: Optional[bool] = None
    
        if target_entities:
            # Specific target entities provided, ignore scope parameter
            final_target_entities = target_entities
            final_scope = None
            is_predefined_scope = False
        else:
            # Check if the provided scope is valid
            if scope not in bindings.valid_scopes:
                allowed_values_str = ", ".join(sorted(list(bindings.valid_scopes)))
                return {
                    "Status": "Failed",
                    "Message": f"Invalid scope '{scope}'. Allowed values are: {allowed_values_str}",
                }
            final_target_entities = [] # Pass empty list for entities when using scope
            final_scope = scope
            is_predefined_scope = True
    
        # Fetch integration instance identifier
        try:
            instance_response = await bindings.http_client.get(
                Endpoints.LIST_INTEGRATION_INSTANCES.format(INTEGRATION_NAME="Axonius")
            )
            instances = instance_response.get("integration_instances", [])
        except Exception as e:
            print(f"Error fetching instance for Axonius: {e}")
            return {"Status": "Failed", "Message": f"Error fetching instance: {e}"}
    
        if instances:
            instance_identifier = instances[0].get("identifier")
            if not instance_identifier:
                return {"Status": "Failed", "Message": "Instance found but identifier is missing."}
    
            script_params = {}
    
            # Prepare data model for the API request
            action_data = ApiManualActionDataModel(
                alertGroupIdentifiers=alert_group_identifiers,
                caseId=case_id,
                targetEntities=final_target_entities,
                scope=final_scope,
                isPredefinedScope=is_predefined_scope,
                actionProvider="Scripts",
                actionName="Axonius_Ping",
                properties={
                    "IntegrationInstance": instance_identifier,
                    "ScriptName": "Axonius_Ping",
                    "ScriptParametersEntityFields": json.dumps(script_params)
                }
            )
    
            try:
                execution_response = await bindings.http_client.post(
                    Endpoints.EXECUTE_MANUAL_ACTION,
                    req=action_data.model_dump()
                )
                return execution_response
            except Exception as e:
                print(f"Error executing action Axonius_Ping for Axonius: {e}")
                return {"Status": "Failed", "Message": f"Error executing action: {e}"}
        else:
            print(f"Warning: No active integration instance found for Axonius")
            return {"Status": "Failed", "Message": "No active instance found."}

    @mcp.tool()
    async def axonius_remove_tags(case_id: Annotated[str, Field(..., description="The ID of the case.")], alert_group_identifiers: Annotated[List[str], Field(..., description="Identifiers for the alert groups.")], tags: Annotated[str, Field(..., description="Specify the comma-separated list of tags that need to be removed from the entities.")], target_entities: Annotated[List[TargetEntity], PydanticListField(TargetEntity, description="Optional list of specific target entities (Identifier, EntityType) to run the action on.")], scope: Annotated[str, Field(default="All entities", description="Defines the scope for the action.")]) -> dict:
        """Remove tags from entities in Axonius. Supported entities: Hostname, IP, Mac Address, User, Email Addresses (User entities that match email regex).

        Returns:
            dict: A dictionary containing the result of the action execution.
        """
        final_target_entities: Optional[List[TargetEntity]] = None
        final_scope: Optional[str] = None
        is_predefined_scope: Optional[bool] = None
    
        if target_entities:
            # Specific target entities provided, ignore scope parameter
            final_target_entities = target_entities
            final_scope = None
            is_predefined_scope = False
        else:
            # Check if the provided scope is valid
            if scope not in bindings.valid_scopes:
                allowed_values_str = ", ".join(sorted(list(bindings.valid_scopes)))
                return {
                    "Status": "Failed",
                    "Message": f"Invalid scope '{scope}'. Allowed values are: {allowed_values_str}",
                }
            final_target_entities = [] # Pass empty list for entities when using scope
            final_scope = scope
            is_predefined_scope = True
    
        # Fetch integration instance identifier
        try:
            instance_response = await bindings.http_client.get(
                Endpoints.LIST_INTEGRATION_INSTANCES.format(INTEGRATION_NAME="Axonius")
            )
            instances = instance_response.get("integration_instances", [])
        except Exception as e:
            print(f"Error fetching instance for Axonius: {e}")
            return {"Status": "Failed", "Message": f"Error fetching instance: {e}"}
    
        if instances:
            instance_identifier = instances[0].get("identifier")
            if not instance_identifier:
                return {"Status": "Failed", "Message": "Instance found but identifier is missing."}
    
            script_params = {}
            script_params["Tags"] = tags
    
            # Prepare data model for the API request
            action_data = ApiManualActionDataModel(
                alertGroupIdentifiers=alert_group_identifiers,
                caseId=case_id,
                targetEntities=final_target_entities,
                scope=final_scope,
                isPredefinedScope=is_predefined_scope,
                actionProvider="Scripts",
                actionName="Axonius_Remove Tags",
                properties={
                    "IntegrationInstance": instance_identifier,
                    "ScriptName": "Axonius_Remove Tags",
                    "ScriptParametersEntityFields": json.dumps(script_params)
                }
            )
    
            try:
                execution_response = await bindings.http_client.post(
                    Endpoints.EXECUTE_MANUAL_ACTION,
                    req=action_data.model_dump()
                )
                return execution_response
            except Exception as e:
                print(f"Error executing action Axonius_Remove Tags for Axonius: {e}")
                return {"Status": "Failed", "Message": f"Error executing action: {e}"}
        else:
            print(f"Warning: No active integration instance found for Axonius")
            return {"Status": "Failed", "Message": "No active instance found."}

    @mcp.tool()
    async def axonius_enrich_entities(case_id: Annotated[str, Field(..., description="The ID of the case.")], alert_group_identifiers: Annotated[List[str], Field(..., description="Identifiers for the alert groups.")], create_endpoint_insight: Annotated[bool, Field(default=None, description="If enabled, action will create an insight containing information about the endpoints.")], create_user_insight: Annotated[bool, Field(default=None, description="If enabled, action will create an insight containing information about the user.")], max_notes_to_return: Annotated[str, Field(default=None, description="Specify how many notes to show in the case wall table. Default: 50.")], target_entities: Annotated[List[TargetEntity], PydanticListField(TargetEntity, description="Optional list of specific target entities (Identifier, EntityType) to run the action on.")], scope: Annotated[str, Field(default="All entities", description="Defines the scope for the action.")]) -> dict:
        """
Enrich entities using information from Axonius. Supported entities: IP Address, Hostname, Mac Address, User, Email Addresses (User entities that match email regex).

Action Parameters: Create Endpoint Insight: If enabled, action will create an insight containing information about the endpoints., Create User Insight: If enabled, action will create an insight containing information about the user., Max Notes To Return: Specify how many notes to show in the case wall table.

Returns:
dict: A dictionary containing the result of the action execution.
"""
        final_target_entities: Optional[List[TargetEntity]] = None
        final_scope: Optional[str] = None
        is_predefined_scope: Optional[bool] = None
    
        if target_entities:
            # Specific target entities provided, ignore scope parameter
            final_target_entities = target_entities
            final_scope = None
            is_predefined_scope = False
        else:
            # Check if the provided scope is valid
            if scope not in bindings.valid_scopes:
                allowed_values_str = ", ".join(sorted(list(bindings.valid_scopes)))
                return {
                    "Status": "Failed",
                    "Message": f"Invalid scope '{scope}'. Allowed values are: {allowed_values_str}",
                }
            final_target_entities = [] # Pass empty list for entities when using scope
            final_scope = scope
            is_predefined_scope = True
    
        # Fetch integration instance identifier
        try:
            instance_response = await bindings.http_client.get(
                Endpoints.LIST_INTEGRATION_INSTANCES.format(INTEGRATION_NAME="Axonius")
            )
            instances = instance_response.get("integration_instances", [])
        except Exception as e:
            print(f"Error fetching instance for Axonius: {e}")
            return {"Status": "Failed", "Message": f"Error fetching instance: {e}"}
    
        if instances:
            instance_identifier = instances[0].get("identifier")
            if not instance_identifier:
                return {"Status": "Failed", "Message": "Instance found but identifier is missing."}
    
            script_params = {}
            if create_endpoint_insight is not None:
                script_params["Create Endpoint Insight"] = create_endpoint_insight
            if create_user_insight is not None:
                script_params["Create User Insight"] = create_user_insight
            if max_notes_to_return is not None:
                script_params["Max Notes To Return"] = max_notes_to_return
    
            # Prepare data model for the API request
            action_data = ApiManualActionDataModel(
                alertGroupIdentifiers=alert_group_identifiers,
                caseId=case_id,
                targetEntities=final_target_entities,
                scope=final_scope,
                isPredefinedScope=is_predefined_scope,
                actionProvider="Scripts",
                actionName="Axonius_Enrich Entities",
                properties={
                    "IntegrationInstance": instance_identifier,
                    "ScriptName": "Axonius_Enrich Entities",
                    "ScriptParametersEntityFields": json.dumps(script_params)
                }
            )
    
            try:
                execution_response = await bindings.http_client.post(
                    Endpoints.EXECUTE_MANUAL_ACTION,
                    req=action_data.model_dump()
                )
                return execution_response
            except Exception as e:
                print(f"Error executing action Axonius_Enrich Entities for Axonius: {e}")
                return {"Status": "Failed", "Message": f"Error executing action: {e}"}
        else:
            print(f"Warning: No active integration instance found for Axonius")
            return {"Status": "Failed", "Message": "No active instance found."}

    @mcp.tool()
    async def axonius_add_tags(case_id: Annotated[str, Field(..., description="The ID of the case.")], alert_group_identifiers: Annotated[List[str], Field(..., description="Identifiers for the alert groups.")], tags: Annotated[str, Field(..., description="Specify the comma-separated list of tags that need to be added to the entities.")], target_entities: Annotated[List[TargetEntity], PydanticListField(TargetEntity, description="Optional list of specific target entities (Identifier, EntityType) to run the action on.")], scope: Annotated[str, Field(default="All entities", description="Defines the scope for the action.")]) -> dict:
        """
Add tags to entities in Axonius. Supported entities: Hostname, IP, Mac Address, User, Email Addresses (User entities that match email regex).

Action Parameters: Tags: Specify a comma-separated list of tags that must be added to the entities.

Returns:
dict: A dictionary containing the result of the action execution.
"""
        final_target_entities: Optional[List[TargetEntity]] = None
        final_scope: Optional[str] = None
        is_predefined_scope: Optional[bool] = None
    
        if target_entities:
            # Specific target entities provided, ignore scope parameter
            final_target_entities = target_entities
            final_scope = None
            is_predefined_scope = False
        else:
            # Check if the provided scope is valid
            if scope not in bindings.valid_scopes:
                allowed_values_str = ", ".join(sorted(list(bindings.valid_scopes)))
                return {
                    "Status": "Failed",
                    "Message": f"Invalid scope '{scope}'. Allowed values are: {allowed_values_str}",
                }
            final_target_entities = [] # Pass empty list for entities when using scope
            final_scope = scope
            is_predefined_scope = True
    
        # Fetch integration instance identifier
        try:
            instance_response = await bindings.http_client.get(
                Endpoints.LIST_INTEGRATION_INSTANCES.format(INTEGRATION_NAME="Axonius")
            )
            instances = instance_response.get("integration_instances", [])
        except Exception as e:
            print(f"Error fetching instance for Axonius: {e}")
            return {"Status": "Failed", "Message": f"Error fetching instance: {e}"}
    
        if instances:
            instance_identifier = instances[0].get("identifier")
            if not instance_identifier:
                return {"Status": "Failed", "Message": "Instance found but identifier is missing."}
    
            script_params = {}
            script_params["Tags"] = tags
    
            # Prepare data model for the API request
            action_data = ApiManualActionDataModel(
                alertGroupIdentifiers=alert_group_identifiers,
                caseId=case_id,
                targetEntities=final_target_entities,
                scope=final_scope,
                isPredefinedScope=is_predefined_scope,
                actionProvider="Scripts",
                actionName="Axonius_Add Tags",
                properties={
                    "IntegrationInstance": instance_identifier,
                    "ScriptName": "Axonius_Add Tags",
                    "ScriptParametersEntityFields": json.dumps(script_params)
                }
            )
    
            try:
                execution_response = await bindings.http_client.post(
                    Endpoints.EXECUTE_MANUAL_ACTION,
                    req=action_data.model_dump()
                )
                return execution_response
            except Exception as e:
                print(f"Error executing action Axonius_Add Tags for Axonius: {e}")
                return {"Status": "Failed", "Message": f"Error executing action: {e}"}
        else:
            print(f"Warning: No active integration instance found for Axonius")
            return {"Status": "Failed", "Message": "No active instance found."}

    @mcp.tool()
    async def axonius_add_note(case_id: Annotated[str, Field(..., description="The ID of the case.")], alert_group_identifiers: Annotated[List[str], Field(..., description="Identifiers for the alert groups.")], note: Annotated[str, Field(..., description="Specify what note needs to be added.")], target_entities: Annotated[List[TargetEntity], PydanticListField(TargetEntity, description="Optional list of specific target entities (Identifier, EntityType) to run the action on.")], scope: Annotated[str, Field(default="All entities", description="Defines the scope for the action.")]) -> dict:
        """
Add a note to entities in Axonius. Supported entities: Hostname, IP, Mac Address, User, Email Addresses (User entities that match email regex).

Action Parameters: Note: Specify what note needs to be added.

Returns:
dict: A dictionary containing the result of the action execution.
"""
        final_target_entities: Optional[List[TargetEntity]] = None
        final_scope: Optional[str] = None
        is_predefined_scope: Optional[bool] = None
    
        if target_entities:
            # Specific target entities provided, ignore scope parameter
            final_target_entities = target_entities
            final_scope = None
            is_predefined_scope = False
        else:
            # Check if the provided scope is valid
            if scope not in bindings.valid_scopes:
                allowed_values_str = ", ".join(sorted(list(bindings.valid_scopes)))
                return {
                    "Status": "Failed",
                    "Message": f"Invalid scope '{scope}'. Allowed values are: {allowed_values_str}",
                }
            final_target_entities = [] # Pass empty list for entities when using scope
            final_scope = scope
            is_predefined_scope = True
    
        # Fetch integration instance identifier
        try:
            instance_response = await bindings.http_client.get(
                Endpoints.LIST_INTEGRATION_INSTANCES.format(INTEGRATION_NAME="Axonius")
            )
            instances = instance_response.get("integration_instances", [])
        except Exception as e:
            print(f"Error fetching instance for Axonius: {e}")
            return {"Status": "Failed", "Message": f"Error fetching instance: {e}"}
    
        if instances:
            instance_identifier = instances[0].get("identifier")
            if not instance_identifier:
                return {"Status": "Failed", "Message": "Instance found but identifier is missing."}
    
            script_params = {}
            script_params["Note"] = note
    
            # Prepare data model for the API request
            action_data = ApiManualActionDataModel(
                alertGroupIdentifiers=alert_group_identifiers,
                caseId=case_id,
                targetEntities=final_target_entities,
                scope=final_scope,
                isPredefinedScope=is_predefined_scope,
                actionProvider="Scripts",
                actionName="Axonius_Add Note",
                properties={
                    "IntegrationInstance": instance_identifier,
                    "ScriptName": "Axonius_Add Note",
                    "ScriptParametersEntityFields": json.dumps(script_params)
                }
            )
    
            try:
                execution_response = await bindings.http_client.post(
                    Endpoints.EXECUTE_MANUAL_ACTION,
                    req=action_data.model_dump()
                )
                return execution_response
            except Exception as e:
                print(f"Error executing action Axonius_Add Note for Axonius: {e}")
                return {"Status": "Failed", "Message": f"Error executing action: {e}"}
        else:
            print(f"Warning: No active integration instance found for Axonius")
            return {"Status": "Failed", "Message": "No active instance found."}
