# Copyright 2017-2019 Amazon.com, Inc. or its affiliates. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"). You may
# not use this file except in compliance with the License. A copy of the License is located at
#
#        http://aws.amazon.com/apache2.0/
#
# or in the "license" file accompanying this file. This file 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.

import json
import sys
import datetime
import boto3
import botocore

try:
    import liblogging
except ImportError:
    pass

##############
# Parameters #
##############

# Define the default resource to report to Config Rules
DEFAULT_RESOURCE_TYPE = 'AWS::EC2::Instance'

# Set to True to get the lambda to assume the Role attached on the Config Service (useful for cross-account).
ASSUME_ROLE_MODE = False

# Other parameters (no change needed)
CONFIG_ROLE_TIMEOUT_SECONDS = 900

#############
# Main Code #
#############

def evaluate_compliance(event, configuration_item, valid_rule_parameters):
    """Form the evaluation(s) to be return to Config Rules

    Return either:
    None -- when no result needs to be displayed
    a string -- either COMPLIANT, NON_COMPLIANT or NOT_APPLICABLE
    a dictionary -- the evaluation dictionary, usually built by build_evaluation_from_config_item()
    a list of dictionary -- a list of evaluation dictionary , usually built by build_evaluation()

    Keyword arguments:
    event -- the event variable given in the lambda handler
    configuration_item -- the configurationItem dictionary in the invokingEvent
    valid_rule_parameters -- the output of the evaluate_parameters() representing validated parameters of the Config Rule

    Advanced Notes:
    1 -- if a resource is deleted and generate a configuration change with ResourceDeleted status, the Boilerplate code will put a NOT_APPLICABLE on this resource automatically.
    2 -- if a None or a list of dictionary is returned, the old evaluation(s) which are not returned in the new evaluation list are returned as NOT_APPLICABLE by the Boilerplate code
    3 -- if None or an empty string, list or dict is returned, the Boilerplate code will put a "shadow" evaluation to feedback that the evaluation took place properly
    """

    ###############################
    # Add your custom logic here. #
    ###############################

    ec2_client = get_client('ec2', event)

    compliant = 'EC2 Instance {} has no unjustified open ports'
    non_compliant = 'EC2 Instance {} has public ports {} without a valid exception'

    ec2_instance = json.loads(event['invokingEvent'])['configurationItem']['configuration']
    instance_id = ec2_instance['instanceId']
    raw_tags = ec2_instance['tags']
    tags = {}

    for tag in raw_tags:
        tags[tag['key']] = tag['value']

    allowed_ports_raw = tags.get('AllowedPorts', '').replace(' ', '').split(',')
    allowed_ports = []

    for port in allowed_ports_raw:
        # Ensure the port is a valid integer by converting and storing as int
        try:
            allowed_ports.append(int(port))
        except ValueError:
            continue

    instances = ec2_client.describe_instances(InstanceIds=[instance_id])['Reservations'][0]
    instance = instances['Instances'][0]

    security_group_ids = []
    open_ports = []

    network_interfaces = instance['NetworkInterfaces']
    for interface in network_interfaces:
        for group in interface.get('Groups', []):
            security_group_ids.append(group['GroupId'])

    security_groups = ec2_client.describe_security_groups(GroupIds=security_group_ids)
    security_groups = security_groups.get('SecurityGroups', [])
    for security_group in security_groups:
        for permission in security_group['IpPermissions']:
            # If there is no port(s) in the SG rule, move on to the next
            if not permission.get('FromPort'):
                continue

            # We are not worried about accessible IP ranges for ports in the allowed ports list
            # If the port is in the list, move on to the next
            if permission['FromPort'] in allowed_ports or permission['ToPort'] in allowed_ports:
                continue

            for ip in permission['IpRanges']:
                # 0.0.0.0/0 indicates the port is accessible to the Internet
                if ip['CidrIp'] == '0.0.0.0/0':
                    # For the purposes of this PoC, we are not going to fully consider port ranges,
                    # but will only take the from and to port from that range. In a production environment,
                    # you'll likely want to pull out each port in that range to ensure it is accounted for.
                    if permission['FromPort'] == permission['ToPort']:
                        open_ports.append(permission['FromPort'])
                    else:
                        open_ports.append(permission['FromPort'])
                        open_ports.append(permission['ToPort'])

    unjustified_open_ports = list(set(open_ports) - set(allowed_ports))
    if unjustified_open_ports:
        return build_evaluation_from_config_item(
            configuration_item,
            'NON_COMPLIANT',
            annotation=build_annotation(non_compliant.format(instance_id, unjustified_open_ports))
        )
    else:
        return build_evaluation_from_config_item(
            configuration_item,
            'COMPLIANT',
            annotation=build_annotation(compliant.format(instance_id))
        )


def evaluate_parameters(rule_parameters):
    """Evaluate the rule parameters dictionary validity. Raise a ValueError for invalid parameters.

    Return:
    anything suitable for the evaluate_compliance()

    Keyword arguments:
    rule_parameters -- the Key/Value dictionary of the Config Rules parameters
    """
    valid_rule_parameters = rule_parameters
    return valid_rule_parameters

####################
# Helper Functions #
####################

# Build an error to be displayed in the logs when the parameter is invalid.
def build_parameters_value_error_response(ex):
    """Return an error dictionary when the evaluate_parameters() raises a ValueError.

    Keyword arguments:
    ex -- Exception text
    """
    return  build_error_response(internal_error_message="Parameter value is invalid",
                                 internal_error_details="An ValueError was raised during the validation of the Parameter value",
                                 customer_error_code="InvalidParameterValueException",
                                 customer_error_message=str(ex))

# This gets the client after assuming the Config service role
# either in the same AWS account or cross-account.
def get_client(service, event, region=None):
    """Return the service boto client. It should be used instead of directly calling the client.

    Keyword arguments:
    service -- the service name used for calling the boto.client()
    event -- the event variable given in the lambda handler
    region -- the region where the client is called (default: None)
    """
    if not ASSUME_ROLE_MODE:
        return boto3.client(service, region)
    credentials = get_assume_role_credentials(get_execution_role_arn(event), region)
    return boto3.client(service, aws_access_key_id=credentials['AccessKeyId'],
                        aws_secret_access_key=credentials['SecretAccessKey'],
                        aws_session_token=credentials['SessionToken'],
                        region_name=region
                       )

# This generate an evaluation for config
def build_evaluation(resource_id, compliance_type, event, resource_type=DEFAULT_RESOURCE_TYPE, annotation=None):
    """Form an evaluation as a dictionary. Usually suited to report on scheduled rules.

    Keyword arguments:
    resource_id -- the unique id of the resource to report
    compliance_type -- either COMPLIANT, NON_COMPLIANT or NOT_APPLICABLE
    event -- the event variable given in the lambda handler
    resource_type -- the CloudFormation resource type (or AWS::::Account) to report on the rule (default DEFAULT_RESOURCE_TYPE)
    annotation -- an annotation to be added to the evaluation (default None). It will be truncated to 255 if longer.
    """
    eval_cc = {}
    if annotation:
        eval_cc['Annotation'] = build_annotation(annotation)
    eval_cc['ComplianceResourceType'] = resource_type
    eval_cc['ComplianceResourceId'] = resource_id
    eval_cc['ComplianceType'] = compliance_type
    eval_cc['OrderingTimestamp'] = str(json.loads(event['invokingEvent'])['notificationCreationTime'])
    return eval_cc

def build_evaluation_from_config_item(configuration_item, compliance_type, annotation=None):
    """Form an evaluation as a dictionary. Usually suited to report on configuration change rules.

    Keyword arguments:
    configuration_item -- the configurationItem dictionary in the invokingEvent
    compliance_type -- either COMPLIANT, NON_COMPLIANT or NOT_APPLICABLE
    annotation -- an annotation to be added to the evaluation (default None). It will be truncated to 255 if longer.
    """
    eval_ci = {}
    if annotation:
        eval_ci['Annotation'] = build_annotation(annotation)
    eval_ci['ComplianceResourceType'] = configuration_item['resourceType']
    eval_ci['ComplianceResourceId'] = configuration_item['resourceId']
    eval_ci['ComplianceType'] = compliance_type
    eval_ci['OrderingTimestamp'] = configuration_item['configurationItemCaptureTime']
    return eval_ci

####################
# Boilerplate Code #
####################

# Get execution role for Lambda function
def get_execution_role_arn(event):
    role_arn = None
    if 'ruleParameters' in event:
        rule_params = json.loads(event['ruleParameters'])
        role_name = rule_params.get("ExecutionRoleName")
        if role_name:
            execution_role_prefix = event["executionRoleArn"].split("/")[0]
            role_arn = "{}/{}".format(execution_role_prefix, role_name)

    if not role_arn:
        role_arn = event['executionRoleArn']

    return role_arn

# Build annotation within Service constraints
def build_annotation(annotation_string):
    if len(annotation_string) > 256:
        return annotation_string[:244] + " [truncated]"
    return annotation_string

# Helper function used to validate input
def check_defined(reference, reference_name):
    if not reference:
        raise Exception('Error: ', reference_name, 'is not defined')
    return reference

# Check whether the message is OversizedConfigurationItemChangeNotification or not
def is_oversized_changed_notification(message_type):
    check_defined(message_type, 'messageType')
    return message_type == 'OversizedConfigurationItemChangeNotification'

# Check whether the message is a ScheduledNotification or not.
def is_scheduled_notification(message_type):
    check_defined(message_type, 'messageType')
    return message_type == 'ScheduledNotification'

# Get configurationItem using getResourceConfigHistory API
# in case of OversizedConfigurationItemChangeNotification
def get_configuration(resource_type, resource_id, configuration_capture_time):
    result = AWS_CONFIG_CLIENT.get_resource_config_history(
        resourceType=resource_type,
        resourceId=resource_id,
        laterTime=configuration_capture_time,
        limit=1)
    configuration_item = result['configurationItems'][0]
    return convert_api_configuration(configuration_item)

# Convert from the API model to the original invocation model
def convert_api_configuration(configuration_item):
    for k, v in configuration_item.items():
        if isinstance(v, datetime.datetime):
            configuration_item[k] = str(v)
    configuration_item['awsAccountId'] = configuration_item['accountId']
    configuration_item['ARN'] = configuration_item['arn']
    configuration_item['configurationStateMd5Hash'] = configuration_item['configurationItemMD5Hash']
    configuration_item['configurationItemVersion'] = configuration_item['version']
    configuration_item['configuration'] = json.loads(configuration_item['configuration'])
    if 'relationships' in configuration_item:
        for i in range(len(configuration_item['relationships'])):
            configuration_item['relationships'][i]['name'] = configuration_item['relationships'][i]['relationshipName']
    return configuration_item

# Based on the type of message get the configuration item
# either from configurationItem in the invoking event
# or using the getResourceConfigHistiry API in getConfiguration function.
def get_configuration_item(invoking_event):
    check_defined(invoking_event, 'invokingEvent')
    if is_oversized_changed_notification(invoking_event['messageType']):
        configuration_item_summary = check_defined(invoking_event['configuration_item_summary'], 'configurationItemSummary')
        return get_configuration(configuration_item_summary['resourceType'], configuration_item_summary['resourceId'], configuration_item_summary['configurationItemCaptureTime'])
    if is_scheduled_notification(invoking_event['messageType']):
        return None
    return check_defined(invoking_event['configurationItem'], 'configurationItem')

# Check whether the resource has been deleted. If it has, then the evaluation is unnecessary.
def is_applicable(configuration_item, event):
    try:
        check_defined(configuration_item, 'configurationItem')
        check_defined(event, 'event')
    except:
        return True
    status = configuration_item['configurationItemStatus']
    event_left_scope = event['eventLeftScope']
    if status == 'ResourceDeleted':
        print("Resource Deleted, setting Compliance Status to NOT_APPLICABLE.")

    return status in ('OK', 'ResourceDiscovered') and not event_left_scope


def get_assume_role_credentials(role_arn, region=None):
    sts_client = boto3.client('sts', region)
    try:
        assume_role_response = sts_client.assume_role(RoleArn=role_arn,
                                                      RoleSessionName="configLambdaExecution",
                                                      DurationSeconds=CONFIG_ROLE_TIMEOUT_SECONDS)
        if 'liblogging' in sys.modules:
            liblogging.logSession(role_arn, assume_role_response)
        return assume_role_response['Credentials']
    except botocore.exceptions.ClientError as ex:
        # Scrub error message for any internal account info leaks
        print(str(ex))
        if 'AccessDenied' in ex.response['Error']['Code']:
            ex.response['Error']['Message'] = "AWS Config does not have permission to assume the IAM role."
        else:
            ex.response['Error']['Message'] = "InternalError"
            ex.response['Error']['Code'] = "InternalError"
        raise ex

# This removes older evaluation (usually useful for periodic rule not reporting on AWS::::Account).
def clean_up_old_evaluations(latest_evaluations, event):

    cleaned_evaluations = []

    old_eval = AWS_CONFIG_CLIENT.get_compliance_details_by_config_rule(
        ConfigRuleName=event['configRuleName'],
        ComplianceTypes=['COMPLIANT', 'NON_COMPLIANT'],
        Limit=100)

    old_eval_list = []

    while True:
        for old_result in old_eval['EvaluationResults']:
            old_eval_list.append(old_result)
        if 'NextToken' in old_eval:
            next_token = old_eval['NextToken']
            old_eval = AWS_CONFIG_CLIENT.get_compliance_details_by_config_rule(
                ConfigRuleName=event['configRuleName'],
                ComplianceTypes=['COMPLIANT', 'NON_COMPLIANT'],
                Limit=100,
                NextToken=next_token)
        else:
            break

    for old_eval in old_eval_list:
        old_resource_id = old_eval['EvaluationResultIdentifier']['EvaluationResultQualifier']['ResourceId']
        newer_founded = False
        for latest_eval in latest_evaluations:
            if old_resource_id == latest_eval['ComplianceResourceId']:
                newer_founded = True
        if not newer_founded:
            cleaned_evaluations.append(build_evaluation(old_resource_id, "NOT_APPLICABLE", event))

    return cleaned_evaluations + latest_evaluations

def lambda_handler(event, context):
    if 'liblogging' in sys.modules:
        liblogging.logEvent(event)

    global AWS_CONFIG_CLIENT

    #print(event)
    check_defined(event, 'event')
    invoking_event = json.loads(event['invokingEvent'])
    rule_parameters = {}
    if 'ruleParameters' in event:
        rule_parameters = json.loads(event['ruleParameters'])

    try:
        valid_rule_parameters = evaluate_parameters(rule_parameters)
    except ValueError as ex:
        return build_parameters_value_error_response(ex)

    try:
        AWS_CONFIG_CLIENT = get_client('config', event)
        if invoking_event['messageType'] in ['ConfigurationItemChangeNotification', 'ScheduledNotification', 'OversizedConfigurationItemChangeNotification']:
            configuration_item = get_configuration_item(invoking_event)
            if is_applicable(configuration_item, event):
                compliance_result = evaluate_compliance(event, configuration_item, valid_rule_parameters)
            else:
                compliance_result = "NOT_APPLICABLE"
        else:
            return build_internal_error_response('Unexpected message type', str(invoking_event))
    except botocore.exceptions.ClientError as ex:
        if is_internal_error(ex):
            return build_internal_error_response("Unexpected error while completing API request", str(ex))
        return build_error_response("Customer error while making API request", str(ex), ex.response['Error']['Code'], ex.response['Error']['Message'])
    except ValueError as ex:
        return build_internal_error_response(str(ex), str(ex))

    evaluations = []
    latest_evaluations = []

    if not compliance_result:
        latest_evaluations.append(build_evaluation(event['accountId'], "NOT_APPLICABLE", event, resource_type='AWS::::Account'))
        evaluations = clean_up_old_evaluations(latest_evaluations, event)
    elif isinstance(compliance_result, str):
        if configuration_item:
            evaluations.append(build_evaluation_from_config_item(configuration_item, compliance_result))
        else:
            evaluations.append(build_evaluation(event['accountId'], compliance_result, event, resource_type=DEFAULT_RESOURCE_TYPE))
    elif isinstance(compliance_result, list):
        for evaluation in compliance_result:
            missing_fields = False
            for field in ('ComplianceResourceType', 'ComplianceResourceId', 'ComplianceType', 'OrderingTimestamp'):
                if field not in evaluation:
                    print("Missing " + field + " from custom evaluation.")
                    missing_fields = True

            if not missing_fields:
                latest_evaluations.append(evaluation)
        evaluations = clean_up_old_evaluations(latest_evaluations, event)
    elif isinstance(compliance_result, dict):
        missing_fields = False
        for field in ('ComplianceResourceType', 'ComplianceResourceId', 'ComplianceType', 'OrderingTimestamp'):
            if field not in compliance_result:
                print("Missing " + field + " from custom evaluation.")
                missing_fields = True
        if not missing_fields:
            evaluations.append(compliance_result)
    else:
        evaluations.append(build_evaluation_from_config_item(configuration_item, 'NOT_APPLICABLE'))

    # Put together the request that reports the evaluation status
    result_token = event['resultToken']
    test_mode = False
    if result_token == 'TESTMODE':
        # Used solely for RDK test to skip actual put_evaluation API call
        test_mode = True

    # Invoke the Config API to report the result of the evaluation
    evaluation_copy = []
    evaluation_copy = evaluations[:]
    while evaluation_copy:
        AWS_CONFIG_CLIENT.put_evaluations(Evaluations=evaluation_copy[:100], ResultToken=result_token, TestMode=test_mode)
        del evaluation_copy[:100]

    # Used solely for RDK test to be able to test Lambda function
    return evaluations

def is_internal_error(exception):
    return ((not isinstance(exception, botocore.exceptions.ClientError)) or exception.response['Error']['Code'].startswith('5')
            or 'InternalError' in exception.response['Error']['Code'] or 'ServiceError' in exception.response['Error']['Code'])

def build_internal_error_response(internal_error_message, internal_error_details=None):
    return build_error_response(internal_error_message, internal_error_details, 'InternalError', 'InternalError')

def build_error_response(internal_error_message, internal_error_details=None, customer_error_code=None, customer_error_message=None):
    error_response = {
        'internalErrorMessage': internal_error_message,
        'internalErrorDetails': internal_error_details,
        'customerErrorMessage': customer_error_message,
        'customerErrorCode': customer_error_code
    }
    print(error_response)
    return error_response