48f393e1-29b1-4c63-9492-bea03b969f84

Committed 03 Mar 2025 10:41PM UTC coverage: 86.891% (+0.01%) from 86.878%

Build # 48f393e1-29b1-4c63-9492-bea03b969f84

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push

circleci

Committed by

web-flow

Commit Message

APIGW: add validation for AWS ARN in PutIntegration (#12324)

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11 of 13 new or added lines in 1 file covered. (84.62%)

124 existing lines in 9 files now uncovered.

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91.87

/localstack-core/localstack/services/lambda_/provider.py

import base64
import dataclasses
import datetime
import itertools
import json
import logging
import re
import threading
import time
from typing import IO, Any, Optional, Tuple

from botocore.exceptions import ClientError

from localstack import config
from localstack.aws.api import RequestContext, ServiceException, handler
from localstack.aws.api.lambda_ import (
    AccountLimit,
    AccountUsage,
    AddLayerVersionPermissionResponse,
    AddPermissionRequest,
    AddPermissionResponse,
    Alias,
    AliasConfiguration,
    AliasRoutingConfiguration,
    AllowedPublishers,
    Architecture,
    Arn,
    Blob,
    BlobStream,
    CodeSigningConfigArn,
    CodeSigningConfigNotFoundException,
    CodeSigningPolicies,
    CompatibleArchitectures,
    CompatibleRuntimes,
    Concurrency,
    Cors,
    CreateCodeSigningConfigResponse,
    CreateEventSourceMappingRequest,
    CreateFunctionRequest,
    CreateFunctionUrlConfigResponse,
    DeleteCodeSigningConfigResponse,
    Description,
    DestinationConfig,
    EventSourceMappingConfiguration,
    FunctionCodeLocation,
    FunctionConfiguration,
    FunctionEventInvokeConfig,
    FunctionName,
    FunctionUrlAuthType,
    FunctionUrlQualifier,
    GetAccountSettingsResponse,
    GetCodeSigningConfigResponse,
    GetFunctionCodeSigningConfigResponse,
    GetFunctionConcurrencyResponse,
    GetFunctionRecursionConfigResponse,
    GetFunctionResponse,
    GetFunctionUrlConfigResponse,
    GetLayerVersionPolicyResponse,
    GetLayerVersionResponse,
    GetPolicyResponse,
    GetProvisionedConcurrencyConfigResponse,
    InvalidParameterValueException,
    InvocationResponse,
    InvocationType,
    InvokeAsyncResponse,
    InvokeMode,
    LambdaApi,
    LastUpdateStatus,
    LayerName,
    LayerPermissionAllowedAction,
    LayerPermissionAllowedPrincipal,
    LayersListItem,
    LayerVersionArn,
    LayerVersionContentInput,
    LayerVersionNumber,
    LicenseInfo,
    ListAliasesResponse,
    ListCodeSigningConfigsResponse,
    ListEventSourceMappingsResponse,
    ListFunctionEventInvokeConfigsResponse,
    ListFunctionsByCodeSigningConfigResponse,
    ListFunctionsResponse,
    ListFunctionUrlConfigsResponse,
    ListLayersResponse,
    ListLayerVersionsResponse,
    ListProvisionedConcurrencyConfigsResponse,
    ListTagsResponse,
    ListVersionsByFunctionResponse,
    LogFormat,
    LoggingConfig,
    LogType,
    MasterRegion,
    MaxFunctionEventInvokeConfigListItems,
    MaximumEventAgeInSeconds,
    MaximumRetryAttempts,
    MaxItems,
    MaxLayerListItems,
    MaxListItems,
    MaxProvisionedConcurrencyConfigListItems,
    NamespacedFunctionName,
    NamespacedStatementId,
    OnFailure,
    OnSuccess,
    OrganizationId,
    PackageType,
    PositiveInteger,
    PreconditionFailedException,
    ProvisionedConcurrencyConfigListItem,
    ProvisionedConcurrencyConfigNotFoundException,
    ProvisionedConcurrencyStatusEnum,
    PublishLayerVersionResponse,
    PutFunctionCodeSigningConfigResponse,
    PutFunctionRecursionConfigResponse,
    PutProvisionedConcurrencyConfigResponse,
    Qualifier,
    RecursiveLoop,
    ReservedConcurrentExecutions,
    ResourceConflictException,
    ResourceNotFoundException,
    Runtime,
    RuntimeVersionConfig,
    SnapStart,
    SnapStartApplyOn,
    SnapStartOptimizationStatus,
    SnapStartResponse,
    State,
    StatementId,
    StateReasonCode,
    String,
    TaggableResource,
    TagKeyList,
    Tags,
    TracingMode,
    UnqualifiedFunctionName,
    UpdateCodeSigningConfigResponse,
    UpdateEventSourceMappingRequest,
    UpdateFunctionCodeRequest,
    UpdateFunctionConfigurationRequest,
    UpdateFunctionUrlConfigResponse,
    Version,
)
from localstack.aws.api.lambda_ import FunctionVersion as FunctionVersionApi
from localstack.aws.api.lambda_ import ServiceException as LambdaServiceException
from localstack.aws.connect import connect_to
from localstack.aws.spec import load_service
from localstack.services.edge import ROUTER
from localstack.services.lambda_ import api_utils
from localstack.services.lambda_ import hooks as lambda_hooks
from localstack.services.lambda_.api_utils import (
    ARCHITECTURES,
    STATEMENT_ID_REGEX,
    SUBNET_ID_REGEX,
    function_locators_from_arn,
)
from localstack.services.lambda_.event_source_mapping.esm_config_factory import (
    EsmConfigFactory,
)
from localstack.services.lambda_.event_source_mapping.esm_worker import (
    EsmState,
    EsmWorker,
)
from localstack.services.lambda_.event_source_mapping.esm_worker_factory import (
    EsmWorkerFactory,
)
from localstack.services.lambda_.event_source_mapping.pipe_utils import get_internal_client
from localstack.services.lambda_.invocation import AccessDeniedException
from localstack.services.lambda_.invocation.execution_environment import (
    EnvironmentStartupTimeoutException,
)
from localstack.services.lambda_.invocation.lambda_models import (
    AliasRoutingConfig,
    CodeSigningConfig,
    EventInvokeConfig,
    Function,
    FunctionResourcePolicy,
    FunctionUrlConfig,
    FunctionVersion,
    ImageConfig,
    LambdaEphemeralStorage,
    Layer,
    LayerPolicy,
    LayerPolicyStatement,
    LayerVersion,
    ProvisionedConcurrencyConfiguration,
    RequestEntityTooLargeException,
    ResourcePolicy,
    UpdateStatus,
    ValidationException,
    VersionAlias,
    VersionFunctionConfiguration,
    VersionIdentifier,
    VersionState,
    VpcConfig,
)
from localstack.services.lambda_.invocation.lambda_service import (
    LambdaService,
    create_image_code,
    destroy_code_if_not_used,
    lambda_stores,
    store_lambda_archive,
    store_s3_bucket_archive,
)
from localstack.services.lambda_.invocation.models import LambdaStore
from localstack.services.lambda_.invocation.runtime_executor import get_runtime_executor
from localstack.services.lambda_.lambda_utils import HINT_LOG
from localstack.services.lambda_.layerfetcher.layer_fetcher import LayerFetcher
from localstack.services.lambda_.provider_utils import (
    LambdaLayerVersionIdentifier,
    get_function_version,
    get_function_version_from_arn,
)
from localstack.services.lambda_.runtimes import (
    ALL_RUNTIMES,
    DEPRECATED_RUNTIMES,
    DEPRECATED_RUNTIMES_UPGRADES,
    RUNTIMES_AGGREGATED,
    VALID_RUNTIMES,
)
from localstack.services.lambda_.urlrouter import FunctionUrlRouter
from localstack.services.plugins import ServiceLifecycleHook
from localstack.state import StateVisitor
from localstack.utils.aws.arns import (
    ArnData,
    extract_resource_from_arn,
    extract_service_from_arn,
    get_partition,
    lambda_event_source_mapping_arn,
    parse_arn,
)
from localstack.utils.aws.client_types import ServicePrincipal
from localstack.utils.bootstrap import is_api_enabled
from localstack.utils.collections import PaginatedList
from localstack.utils.event_matcher import validate_event_pattern
from localstack.utils.lambda_debug_mode.lambda_debug_mode_session import LambdaDebugModeSession
from localstack.utils.strings import get_random_hex, short_uid, to_bytes, to_str
from localstack.utils.sync import poll_condition
from localstack.utils.urls import localstack_host

LOG = logging.getLogger(__name__)

LAMBDA_DEFAULT_TIMEOUT = 3
LAMBDA_DEFAULT_MEMORY_SIZE = 128

LAMBDA_TAG_LIMIT_PER_RESOURCE = 50
LAMBDA_LAYERS_LIMIT_PER_FUNCTION = 5

TAG_KEY_CUSTOM_URL = "_custom_id_"
# Requirements (from RFC3986 & co): not longer than 63, first char must be
# alpha, then alphanumeric or hyphen, except cannot start or end with hyphen
TAG_KEY_CUSTOM_URL_VALIDATOR = re.compile(r"^[A-Za-z]([A-Za-z0-9\-]{0,61}[A-Za-z0-9])?$")


class LambdaProvider(LambdaApi, ServiceLifecycleHook):
    lambda_service: LambdaService
    create_fn_lock: threading.RLock
    create_layer_lock: threading.RLock
    router: FunctionUrlRouter
    esm_workers: dict[str, EsmWorker]
    layer_fetcher: LayerFetcher | None

    def __init__(self) -> None:
        self.lambda_service = LambdaService()
        self.create_fn_lock = threading.RLock()
        self.create_layer_lock = threading.RLock()
        self.router = FunctionUrlRouter(ROUTER, self.lambda_service)
        self.esm_workers = {}
        self.layer_fetcher = None
        lambda_hooks.inject_layer_fetcher.run(self)

    def accept_state_visitor(self, visitor: StateVisitor):
        visitor.visit(lambda_stores)

    def on_before_start(self):
        # Attempt to start the Lambda Debug Mode session object.
        try:
            lambda_debug_mode_session = LambdaDebugModeSession.get()
            lambda_debug_mode_session.ensure_running()
        except Exception as ex:
            LOG.error(
                "Unexpected error encountered when attempting to initialise Lambda Debug Mode '%s'.",
                ex,
            )

    def on_before_state_reset(self):
        self.lambda_service.stop()

    def on_after_state_reset(self):
        self.router.lambda_service = self.lambda_service = LambdaService()

    def on_before_state_load(self):
        self.lambda_service.stop()

    def on_after_state_load(self):
        self.lambda_service = LambdaService()
        self.router.lambda_service = self.lambda_service

        for account_id, account_bundle in lambda_stores.items():
            for region_name, state in account_bundle.items():
                for fn in state.functions.values():
                    for fn_version in fn.versions.values():
                        # restore the "Pending" state for every function version and start it
                        try:
                            new_state = VersionState(
                                state=State.Pending,
                                code=StateReasonCode.Creating,
                                reason="The function is being created.",
                            )
                            new_config = dataclasses.replace(fn_version.config, state=new_state)
                            new_version = dataclasses.replace(fn_version, config=new_config)
                            fn.versions[fn_version.id.qualifier] = new_version
                            self.lambda_service.create_function_version(fn_version).result(
                                timeout=5
                            )
                        except Exception:
                            LOG.warning(
                                "Failed to restore function version %s",
                                fn_version.id.qualified_arn(),
                                exc_info=True,
                            )
                    # restore provisioned concurrency per function considering both versions and aliases
                    for (
                        provisioned_qualifier,
                        provisioned_config,
                    ) in fn.provisioned_concurrency_configs.items():
                        fn_arn = None
                        try:
                            if api_utils.qualifier_is_alias(provisioned_qualifier):
                                alias = fn.aliases.get(provisioned_qualifier)
                                resolved_version = fn.versions.get(alias.function_version)
                                fn_arn = resolved_version.id.qualified_arn()
                            elif api_utils.qualifier_is_version(provisioned_qualifier):
                                fn_version = fn.versions.get(provisioned_qualifier)
                                fn_arn = fn_version.id.qualified_arn()
                            else:
                                raise InvalidParameterValueException(
                                    "Invalid qualifier type:"
                                    " Qualifier can only be an alias or a version for provisioned concurrency."
                                )

                            manager = self.lambda_service.get_lambda_version_manager(fn_arn)
                            manager.update_provisioned_concurrency_config(
                                provisioned_config.provisioned_concurrent_executions
                            )
                        except Exception:
                            LOG.warning(
                                "Failed to restore provisioned concurrency %s for function %s",
                                provisioned_config,
                                fn_arn,
                                exc_info=True,
                            )

                for esm in state.event_source_mappings.values():
                    # Restores event source workers
                    function_arn = esm.get("FunctionArn")

                    # TODO: How do we know the event source is up?
                    # A basic poll to see if the mapped Lambda function is active/failed
                    if not poll_condition(
                        lambda: get_function_version_from_arn(function_arn).config.state.state
                        in [State.Active, State.Failed],
                        timeout=10,
                    ):
                        LOG.warning(
                            "Creating ESM for Lambda that is not in running state: %s",
                            function_arn,
                        )

                    function_version = get_function_version_from_arn(function_arn)
                    function_role = function_version.config.role

                    is_esm_enabled = esm.get("State", EsmState.DISABLED) not in (
                        EsmState.DISABLED,
                        EsmState.DISABLING,
                    )
                    esm_worker = EsmWorkerFactory(
                        esm, function_role, is_esm_enabled
                    ).get_esm_worker()

                    # Note: a worker is created in the DISABLED state if not enabled
                    esm_worker.create()
                    # TODO: assigning the esm_worker to the dict only works after .create(). Could it cause a race
                    #  condition if we get a shutdown here and have a worker thread spawned but not accounted for?
                    self.esm_workers[esm_worker.uuid] = esm_worker

    def on_after_init(self):
        self.router.register_routes()
        get_runtime_executor().validate_environment()

    def on_before_stop(self) -> None:
        for esm_worker in self.esm_workers.values():
            esm_worker.stop_for_shutdown()

        # TODO: should probably unregister routes?
        self.lambda_service.stop()
        # Attempt to signal to the Lambda Debug Mode session object to stop.
        try:
            lambda_debug_mode_session = LambdaDebugModeSession.get()
            lambda_debug_mode_session.signal_stop()
        except Exception as ex:
            LOG.error(
                "Unexpected error encountered when attempting to signal Lambda Debug Mode to stop '%s'.",
                ex,
            )

    @staticmethod
    def _get_function(function_name: str, account_id: str, region: str) -> Function:
        state = lambda_stores[account_id][region]
        function = state.functions.get(function_name)
        if not function:
            arn = api_utils.unqualified_lambda_arn(
                function_name=function_name,
                account=account_id,
                region=region,
            )
            raise ResourceNotFoundException(
                f"Function not found: {arn}",
                Type="User",
            )
        return function

    @staticmethod
    def _get_esm(uuid: str, account_id: str, region: str) -> EventSourceMappingConfiguration:
        state = lambda_stores[account_id][region]
        esm = state.event_source_mappings.get(uuid)
        if not esm:
            arn = lambda_event_source_mapping_arn(uuid, account_id, region)
            raise ResourceNotFoundException(
                f"Event source mapping not found: {arn}",
                Type="User",
            )
        return esm

    @staticmethod
    def _validate_qualifier_expression(qualifier: str) -> None:
        if error_messages := api_utils.validate_qualifier(qualifier):
            raise ValidationException(
                message=api_utils.construct_validation_exception_message(error_messages)
            )

    @staticmethod
    def _resolve_fn_qualifier(resolved_fn: Function, qualifier: str | None) -> tuple[str, str]:
        """Attempts to resolve a given qualifier and returns a qualifier that exists or
        raises an appropriate ResourceNotFoundException.

        :param resolved_fn: The resolved lambda function
        :param qualifier: The qualifier to be resolved or None
        :return: Tuple of (resolved qualifier, function arn either qualified or unqualified)"""
        function_name = resolved_fn.function_name
        # assuming function versions need to live in the same account and region
        account_id = resolved_fn.latest().id.account
        region = resolved_fn.latest().id.region
        fn_arn = api_utils.unqualified_lambda_arn(function_name, account_id, region)
        if qualifier is not None:
            fn_arn = api_utils.qualified_lambda_arn(function_name, qualifier, account_id, region)
            if api_utils.qualifier_is_alias(qualifier):
                if qualifier not in resolved_fn.aliases:
                    raise ResourceNotFoundException(f"Cannot find alias arn: {fn_arn}", Type="User")
            elif api_utils.qualifier_is_version(qualifier) or qualifier == "$LATEST":
                if qualifier not in resolved_fn.versions:
                    raise ResourceNotFoundException(f"Function not found: {fn_arn}", Type="User")
            else:
                # matches qualifier pattern but invalid alias or version
                raise ResourceNotFoundException(f"Function not found: {fn_arn}", Type="User")
        resolved_qualifier = qualifier or "$LATEST"
        return resolved_qualifier, fn_arn

    @staticmethod
    def _function_revision_id(resolved_fn: Function, resolved_qualifier: str) -> str:
        if api_utils.qualifier_is_alias(resolved_qualifier):
            return resolved_fn.aliases[resolved_qualifier].revision_id
        # Assumes that a non-alias is a version
        else:
            return resolved_fn.versions[resolved_qualifier].config.revision_id

    def _resolve_vpc_id(self, account_id: str, region_name: str, subnet_id: str) -> str:
        ec2_client = connect_to(aws_access_key_id=account_id, region_name=region_name).ec2
        try:
            return ec2_client.describe_subnets(SubnetIds=[subnet_id])["Subnets"][0]["VpcId"]
        except ec2_client.exceptions.ClientError as e:
            code = e.response["Error"]["Code"]
            message = e.response["Error"]["Message"]
            raise InvalidParameterValueException(
                f"Error occurred while DescribeSubnets. EC2 Error Code: {code}. EC2 Error Message: {message}",
                Type="User",
            )

    def _build_vpc_config(
        self,
        account_id: str,
        region_name: str,
        vpc_config: Optional[dict] = None,
    ) -> VpcConfig | None:
        if not vpc_config or not is_api_enabled("ec2"):
            return None

        subnet_ids = vpc_config.get("SubnetIds", [])
        if subnet_ids is not None and len(subnet_ids) == 0:
            return VpcConfig(vpc_id="", security_group_ids=[], subnet_ids=[])

        subnet_id = subnet_ids[0]
        if not bool(SUBNET_ID_REGEX.match(subnet_id)):
            raise ValidationException(
                f"1 validation error detected: Value '[{subnet_id}]' at 'vpcConfig.subnetIds' failed to satisfy constraint: Member must satisfy constraint: [Member must have length less than or equal to 1024, Member must have length greater than or equal to 0, Member must satisfy regular expression pattern: ^subnet-[0-9a-z]*$]"
            )

        return VpcConfig(
            vpc_id=self._resolve_vpc_id(account_id, region_name, subnet_id),
            security_group_ids=vpc_config.get("SecurityGroupIds", []),
            subnet_ids=subnet_ids,
        )

    def _create_version_model(
        self,
        function_name: str,
        region: str,
        account_id: str,
        description: str | None = None,
        revision_id: str | None = None,
        code_sha256: str | None = None,
    ) -> tuple[FunctionVersion, bool]:
        """
        Release a new version to the model if all restrictions are met.
        Restrictions:
          - CodeSha256, if provided, must equal the current latest version code hash
          - RevisionId, if provided, must equal the current latest version revision id
          - Some changes have been done to the latest version since last publish
        Will return a tuple of the version, and whether the version was published (True) or the latest available version was taken (False).
        This can happen if the latest version has not been changed since the last version publish, in this case the last version will be returned.

        :param function_name: Function name to be published
        :param region: Region of the function
        :param account_id: Account of the function
        :param description: new description of the version (will be the description of the function if missing)
        :param revision_id: Revision id, function will raise error if it does not match latest revision id
        :param code_sha256: Code sha256, function will raise error if it does not match latest code hash
        :return: Tuple of (published version, whether version was released or last released version returned, since nothing changed)
        """
        current_latest_version = get_function_version(
            function_name=function_name, qualifier="$LATEST", account_id=account_id, region=region
        )
        if revision_id and current_latest_version.config.revision_id != revision_id:
            raise PreconditionFailedException(
                "The Revision Id provided does not match the latest Revision Id. Call the GetFunction/GetAlias API to retrieve the latest Revision Id",
                Type="User",
            )

        # check if code hashes match if they are specified
        current_hash = (
            current_latest_version.config.code.code_sha256
            if current_latest_version.config.package_type == PackageType.Zip
            else current_latest_version.config.image.code_sha256
        )
        # if the code is a zip package and hot reloaded (hot reloading is currently only supported for zip packagetypes)
        # we cannot enforce the codesha256 check
        is_hot_reloaded_zip_package = (
            current_latest_version.config.package_type == PackageType.Zip
            and current_latest_version.config.code.is_hot_reloading()
        )
        if code_sha256 and current_hash != code_sha256 and not is_hot_reloaded_zip_package:
            raise InvalidParameterValueException(
                f"CodeSHA256 ({code_sha256}) is different from current CodeSHA256 in $LATEST ({current_hash}). Please try again with the CodeSHA256 in $LATEST.",
                Type="User",
            )

        state = lambda_stores[account_id][region]
        function = state.functions.get(function_name)
        changes = {}
        if description is not None:
            changes["description"] = description
        # TODO copy environment instead of restarting one, get rid of all the "Pending"s

        with function.lock:
            if function.next_version > 1 and (
                prev_version := function.versions.get(str(function.next_version - 1))
            ):
                if (
                    prev_version.config.internal_revision
                    == current_latest_version.config.internal_revision
                ):
                    return prev_version, False
            # TODO check if there was a change since last version
            next_version = str(function.next_version)
            function.next_version += 1
            new_id = VersionIdentifier(
                function_name=function_name,
                qualifier=next_version,
                region=region,
                account=account_id,
            )
            apply_on = current_latest_version.config.snap_start["ApplyOn"]
            optimization_status = SnapStartOptimizationStatus.Off
            if apply_on == SnapStartApplyOn.PublishedVersions:
                optimization_status = SnapStartOptimizationStatus.On
            snap_start = SnapStartResponse(
                ApplyOn=apply_on,
                OptimizationStatus=optimization_status,
            )
            new_version = dataclasses.replace(
                current_latest_version,
                config=dataclasses.replace(
                    current_latest_version.config,
                    last_update=None,  # versions never have a last update status
                    state=VersionState(
                        state=State.Pending,
                        code=StateReasonCode.Creating,
                        reason="The function is being created.",
                    ),
                    snap_start=snap_start,
                    **changes,
                ),
                id=new_id,
            )
            function.versions[next_version] = new_version
        return new_version, True

    def _publish_version_from_existing_version(
        self,
        function_name: str,
        region: str,
        account_id: str,
        description: str | None = None,
        revision_id: str | None = None,
        code_sha256: str | None = None,
    ) -> FunctionVersion:
        """
        Publish version from an existing, already initialized LATEST

        :param function_name: Function name
        :param region: region
        :param account_id: account id
        :param description: description
        :param revision_id: revision id (check if current version matches)
        :param code_sha256: code sha (check if current code matches)
        :return: new version
        """
        new_version, changed = self._create_version_model(
            function_name=function_name,
            region=region,
            account_id=account_id,
            description=description,
            revision_id=revision_id,
            code_sha256=code_sha256,
        )
        if not changed:
            return new_version
        self.lambda_service.publish_version(new_version)
        state = lambda_stores[account_id][region]
        function = state.functions.get(function_name)
        # TODO: re-evaluate data model to prevent this dirty hack just for bumping the revision id
        latest_version = function.versions["$LATEST"]
        function.versions["$LATEST"] = dataclasses.replace(
            latest_version, config=dataclasses.replace(latest_version.config)
        )
        return function.versions.get(new_version.id.qualifier)

    def _publish_version_with_changes(
        self,
        function_name: str,
        region: str,
        account_id: str,
        description: str | None = None,
        revision_id: str | None = None,
        code_sha256: str | None = None,
    ) -> FunctionVersion:
        """
        Publish version together with a new latest version (publish on create / update)

        :param function_name: Function name
        :param region: region
        :param account_id: account id
        :param description: description
        :param revision_id: revision id (check if current version matches)
        :param code_sha256: code sha (check if current code matches)
        :return: new version
        """
        new_version, changed = self._create_version_model(
            function_name=function_name,
            region=region,
            account_id=account_id,
            description=description,
            revision_id=revision_id,
            code_sha256=code_sha256,
        )
        if not changed:
            return new_version
        self.lambda_service.create_function_version(new_version)
        return new_version

    @staticmethod
    def _verify_env_variables(env_vars: dict[str, str]):
        dumped_env_vars = json.dumps(env_vars, separators=(",", ":"))
        if (
            len(dumped_env_vars.encode("utf-8"))
            > config.LAMBDA_LIMITS_MAX_FUNCTION_ENVVAR_SIZE_BYTES
        ):
            raise InvalidParameterValueException(
                f"Lambda was unable to configure your environment variables because the environment variables you have provided exceeded the 4KB limit. String measured: {dumped_env_vars}",
                Type="User",
            )

    @staticmethod
    def _validate_snapstart(snap_start: SnapStart, runtime: Runtime):
        apply_on = snap_start.get("ApplyOn")
        if apply_on not in [
            SnapStartApplyOn.PublishedVersions,
            SnapStartApplyOn.None_,
        ]:
            raise ValidationException(
                f"1 validation error detected: Value '{apply_on}' at 'snapStart.applyOn' failed to satisfy constraint: Member must satisfy enum value set: [PublishedVersions, None]"
            )

    def _validate_layers(self, new_layers: list[str], region: str, account_id: str):
        if len(new_layers) > LAMBDA_LAYERS_LIMIT_PER_FUNCTION:
            raise InvalidParameterValueException(
                "Cannot reference more than 5 layers.", Type="User"
            )

        visited_layers = dict()
        for layer_version_arn in new_layers:
            (
                layer_region,
                layer_account_id,
                layer_name,
                layer_version_str,
            ) = api_utils.parse_layer_arn(layer_version_arn)
            if layer_version_str is None:
                raise ValidationException(
                    f"1 validation error detected: Value '[{layer_version_arn}]'"
                    + r" at 'layers' failed to satisfy constraint: Member must satisfy constraint: [Member must have length less than or equal to 140, Member must have length greater than or equal to 1, Member must satisfy regular expression pattern: (arn:[a-zA-Z0-9-]+:lambda:[a-z]{2}((-gov)|(-iso(b?)))?-[a-z]+-\d{1}:\d{12}:layer:[a-zA-Z0-9-_]+:[0-9]+)|(arn:[a-zA-Z0-9-]+:lambda:::awslayer:[a-zA-Z0-9-_]+), Member must not be null]",
                )

            state = lambda_stores[layer_account_id][layer_region]
            layer = state.layers.get(layer_name)
            layer_version = None
            if layer is not None:
                layer_version = layer.layer_versions.get(layer_version_str)
            if layer_account_id == account_id:
                if region and layer_region != region:
                    raise InvalidParameterValueException(
                        f"Layers are not in the same region as the function. "
                        f"Layers are expected to be in region {region}.",
                        Type="User",
                    )
                if layer is None or layer.layer_versions.get(layer_version_str) is None:
                    raise InvalidParameterValueException(
                        f"Layer version {layer_version_arn} does not exist.", Type="User"
                    )
            else:  # External layer from other account
                # TODO: validate IAM layer policy here, allowing access by default for now and only checking region
                if region and layer_region != region:
                    # TODO: detect user or role from context when IAM users are implemented
                    user = "user/localstack-testing"
                    raise AccessDeniedException(
                        f"User: arn:{get_partition(region)}:iam::{account_id}:{user} is not authorized to perform: lambda:GetLayerVersion on resource: {layer_version_arn} because no resource-based policy allows the lambda:GetLayerVersion action"
                    )
                if layer is None or layer_version is None:
                    # Limitation: cannot fetch external layers when using the same account id as the target layer
                    # because we do not want to trigger the layer fetcher for every non-existing layer.
                    if self.layer_fetcher is None:
                        raise NotImplementedError(
                            "Fetching shared layers from AWS is a pro feature."
                        )

                    layer = self.layer_fetcher.fetch_layer(layer_version_arn)
                    if layer is None:
                        # TODO: detect user or role from context when IAM users are implemented
                        user = "user/localstack-testing"
                        raise AccessDeniedException(
                            f"User: arn:{get_partition(region)}:iam::{account_id}:{user} is not authorized to perform: lambda:GetLayerVersion on resource: {layer_version_arn} because no resource-based policy allows the lambda:GetLayerVersion action"
                        )

                    # Distinguish between new layer and new layer version
                    if layer_version is None:
                        # Create whole layer from scratch
                        state.layers[layer_name] = layer
                    else:
                        # Create layer version if another version of the same layer already exists
                        state.layers[layer_name].layer_versions[layer_version_str] = (
                            layer.layer_versions.get(layer_version_str)
                        )

            # only the first two matches in the array are considered for the error message
            layer_arn = ":".join(layer_version_arn.split(":")[:-1])
            if layer_arn in visited_layers:
                conflict_layer_version_arn = visited_layers[layer_arn]
                raise InvalidParameterValueException(
                    f"Two different versions of the same layer are not allowed to be referenced in the same function. {conflict_layer_version_arn} and {layer_version_arn} are versions of the same layer.",
                    Type="User",
                )
            visited_layers[layer_arn] = layer_version_arn

    @staticmethod
    def map_layers(new_layers: list[str]) -> list[LayerVersion]:
        layers = []
        for layer_version_arn in new_layers:
            region_name, account_id, layer_name, layer_version = api_utils.parse_layer_arn(
                layer_version_arn
            )
            layer = lambda_stores[account_id][region_name].layers.get(layer_name)
            layer_version = layer.layer_versions.get(layer_version)
            layers.append(layer_version)
        return layers

    def get_function_recursion_config(
        self,
        context: RequestContext,
        function_name: UnqualifiedFunctionName,
        **kwargs,
    ) -> GetFunctionRecursionConfigResponse:
        account_id, region = api_utils.get_account_and_region(function_name, context)
        function_name = api_utils.get_function_name(function_name, context)
        fn = self._get_function(function_name=function_name, region=region, account_id=account_id)
        return GetFunctionRecursionConfigResponse(RecursiveLoop=fn.recursive_loop)

    def put_function_recursion_config(
        self,
        context: RequestContext,
        function_name: UnqualifiedFunctionName,
        recursive_loop: RecursiveLoop,
        **kwargs,
    ) -> PutFunctionRecursionConfigResponse:
        account_id, region = api_utils.get_account_and_region(function_name, context)
        function_name = api_utils.get_function_name(function_name, context)

        fn = self._get_function(function_name=function_name, region=region, account_id=account_id)

        allowed_values = list(RecursiveLoop.__members__.values())
        if recursive_loop not in allowed_values:
            raise ValidationException(
                f"1 validation error detected: Value '{recursive_loop}' at 'recursiveLoop' failed to satisfy constraint: "
                f"Member must satisfy enum value set: [Terminate, Allow]"
            )

        fn.recursive_loop = recursive_loop
        return PutFunctionRecursionConfigResponse(RecursiveLoop=fn.recursive_loop)

    @handler(operation="CreateFunction", expand=False)
    def create_function(
        self,
        context: RequestContext,
        request: CreateFunctionRequest,
    ) -> FunctionConfiguration:
        context_region = context.region
        context_account_id = context.account_id

        zip_file = request.get("Code", {}).get("ZipFile")
        if zip_file and len(zip_file) > config.LAMBDA_LIMITS_CODE_SIZE_ZIPPED:
            raise RequestEntityTooLargeException(
                f"Zipped size must be smaller than {config.LAMBDA_LIMITS_CODE_SIZE_ZIPPED} bytes"
            )

        if context.request.content_length > config.LAMBDA_LIMITS_CREATE_FUNCTION_REQUEST_SIZE:
            raise RequestEntityTooLargeException(
                f"Request must be smaller than {config.LAMBDA_LIMITS_CREATE_FUNCTION_REQUEST_SIZE} bytes for the CreateFunction operation"
            )

        if architectures := request.get("Architectures"):
            if len(architectures) != 1:
                raise ValidationException(
                    f"1 validation error detected: Value '[{', '.join(architectures)}]' at 'architectures' failed to "
                    f"satisfy constraint: Member must have length less than or equal to 1",
                )
            if architectures[0] not in ARCHITECTURES:
                raise ValidationException(
                    f"1 validation error detected: Value '[{', '.join(architectures)}]' at 'architectures' failed to "
                    f"satisfy constraint: Member must satisfy constraint: [Member must satisfy enum value set: "
                    f"[x86_64, arm64], Member must not be null]",
                )

        if env_vars := request.get("Environment", {}).get("Variables"):
            self._verify_env_variables(env_vars)

        if layers := request.get("Layers", []):
            self._validate_layers(layers, region=context_region, account_id=context_account_id)

        if not api_utils.is_role_arn(request.get("Role")):
            raise ValidationException(
                f"1 validation error detected: Value '{request.get('Role')}'"
                + " at 'role' failed to satisfy constraint: Member must satisfy regular expression pattern: arn:(aws[a-zA-Z-]*)?:iam::\\d{12}:role/?[a-zA-Z_0-9+=,.@\\-_/]+"
            )
        if not self.lambda_service.can_assume_role(request.get("Role"), context.region):
            raise InvalidParameterValueException(
                "The role defined for the function cannot be assumed by Lambda.", Type="User"
            )
        package_type = request.get("PackageType", PackageType.Zip)
        runtime = request.get("Runtime")
        self._validate_runtime(package_type, runtime)

        request_function_name = request.get("FunctionName")

        function_name, *_ = api_utils.get_name_and_qualifier(
            function_arn_or_name=request_function_name,
            qualifier=None,
            context=context,
        )

        if runtime in DEPRECATED_RUNTIMES:
            LOG.warning(
                "The Lambda runtime %s} is deprecated. "
                "Please upgrade the runtime for the function %s: "
                "https://docs.aws.amazon.com/lambda/latest/dg/lambda-runtimes.html",
                runtime,
                function_name,
            )
        if snap_start := request.get("SnapStart"):
            self._validate_snapstart(snap_start, runtime)
        state = lambda_stores[context_account_id][context_region]

        with self.create_fn_lock:
            if function_name in state.functions:
                raise ResourceConflictException(f"Function already exist: {function_name}")
            fn = Function(function_name=function_name)
            arn = VersionIdentifier(
                function_name=function_name,
                qualifier="$LATEST",
                region=context_region,
                account=context_account_id,
            )
            # save function code to s3
            code = None
            image = None
            image_config = None
            runtime_version_config = RuntimeVersionConfig(
                # Limitation: the runtime id (presumably sha256 of image) is currently hardcoded
                # Potential implementation: provide (cached) sha256 hash of used Docker image
                RuntimeVersionArn=f"arn:{context.partition}:lambda:{context_region}::runtime:8eeff65f6809a3ce81507fe733fe09b835899b99481ba22fd75b5a7338290ec1"
            )
            request_code = request.get("Code")
            if package_type == PackageType.Zip:
                # TODO verify if correct combination of code is set
                if zip_file := request_code.get("ZipFile"):
                    code = store_lambda_archive(
                        archive_file=zip_file,
                        function_name=function_name,
                        region_name=context_region,
                        account_id=context_account_id,
                    )
                elif s3_bucket := request_code.get("S3Bucket"):
                    s3_key = request_code["S3Key"]
                    s3_object_version = request_code.get("S3ObjectVersion")
                    code = store_s3_bucket_archive(
                        archive_bucket=s3_bucket,
                        archive_key=s3_key,
                        archive_version=s3_object_version,
                        function_name=function_name,
                        region_name=context_region,
                        account_id=context_account_id,
                    )
                else:
                    raise LambdaServiceException("Gotta have s3 bucket or zip file")
            elif package_type == PackageType.Image:
                image = request_code.get("ImageUri")
                if not image:
                    raise LambdaServiceException("Gotta have an image when package type is image")
                image = create_image_code(image_uri=image)

                image_config_req = request.get("ImageConfig", {})
                image_config = ImageConfig(
                    command=image_config_req.get("Command"),
                    entrypoint=image_config_req.get("EntryPoint"),
                    working_directory=image_config_req.get("WorkingDirectory"),
                )
                # Runtime management controls are not available when providing a custom image
                runtime_version_config = None
            if "LoggingConfig" in request:
                logging_config = request["LoggingConfig"]
                LOG.warning(
                    "Advanced Lambda Logging Configuration is currently mocked "
                    "and will not impact the logging behavior. "
                    "Please create a feature request if needed."
                )

                # when switching to JSON, app and system level log is auto set to INFO
                if logging_config.get("LogFormat", None) == LogFormat.JSON:
                    logging_config = {
                        "ApplicationLogLevel": "INFO",
                        "SystemLogLevel": "INFO",
                        "LogGroup": f"/aws/lambda/{function_name}",
                    } | logging_config
                else:
                    logging_config = (
                        LoggingConfig(
                            LogFormat=LogFormat.Text, LogGroup=f"/aws/lambda/{function_name}"
                        )
                        | logging_config
                    )

            else:
                logging_config = LoggingConfig(
                    LogFormat=LogFormat.Text, LogGroup=f"/aws/lambda/{function_name}"
                )

            version = FunctionVersion(
                id=arn,
                config=VersionFunctionConfiguration(
                    last_modified=api_utils.format_lambda_date(datetime.datetime.now()),
                    description=request.get("Description", ""),
                    role=request["Role"],
                    timeout=request.get("Timeout", LAMBDA_DEFAULT_TIMEOUT),
                    runtime=request.get("Runtime"),
                    memory_size=request.get("MemorySize", LAMBDA_DEFAULT_MEMORY_SIZE),
                    handler=request.get("Handler"),
                    package_type=package_type,
                    environment=env_vars,
                    architectures=request.get("Architectures") or [Architecture.x86_64],
                    tracing_config_mode=request.get("TracingConfig", {}).get(
                        "Mode", TracingMode.PassThrough
                    ),
                    image=image,
                    image_config=image_config,
                    code=code,
                    layers=self.map_layers(layers),
                    internal_revision=short_uid(),
                    ephemeral_storage=LambdaEphemeralStorage(
                        size=request.get("EphemeralStorage", {}).get("Size", 512)
                    ),
                    snap_start=SnapStartResponse(
                        ApplyOn=request.get("SnapStart", {}).get("ApplyOn", SnapStartApplyOn.None_),
                        OptimizationStatus=SnapStartOptimizationStatus.Off,
                    ),
                    runtime_version_config=runtime_version_config,
                    dead_letter_arn=request.get("DeadLetterConfig", {}).get("TargetArn"),
                    vpc_config=self._build_vpc_config(
                        context_account_id, context_region, request.get("VpcConfig")
                    ),
                    state=VersionState(
                        state=State.Pending,
                        code=StateReasonCode.Creating,
                        reason="The function is being created.",
                    ),
                    logging_config=logging_config,
                ),
            )
            fn.versions["$LATEST"] = version
            state.functions[function_name] = fn
        self.lambda_service.create_function_version(version)

        if tags := request.get("Tags"):
            # This will check whether the function exists.
            self._store_tags(arn.unqualified_arn(), tags)

        if request.get("Publish"):
            version = self._publish_version_with_changes(
                function_name=function_name, region=context_region, account_id=context_account_id
            )

        if config.LAMBDA_SYNCHRONOUS_CREATE:
            # block via retrying until "terminal" condition reached before returning
            if not poll_condition(
                lambda: get_function_version(
                    function_name, version.id.qualifier, version.id.account, version.id.region
                ).config.state.state
                in [State.Active, State.Failed],
                timeout=10,
            ):
                LOG.warning(
                    "LAMBDA_SYNCHRONOUS_CREATE is active, but waiting for %s reached timeout.",
                    function_name,
                )

        return api_utils.map_config_out(
            version, return_qualified_arn=False, return_update_status=False
        )

    def _validate_runtime(self, package_type, runtime):
        runtimes = ALL_RUNTIMES
        if config.LAMBDA_RUNTIME_VALIDATION:
            runtimes = list(itertools.chain(RUNTIMES_AGGREGATED.values()))

        if package_type == PackageType.Zip and runtime not in runtimes:
            # deprecated runtimes have different error
            if runtime in DEPRECATED_RUNTIMES:
                HINT_LOG.info(
                    "Set env variable LAMBDA_RUNTIME_VALIDATION to 0"
                    " in order to allow usage of deprecated runtimes"
                )
                self._check_for_recomended_migration_target(runtime)

            raise InvalidParameterValueException(
                f"Value {runtime} at 'runtime' failed to satisfy constraint: Member must satisfy enum value set: {VALID_RUNTIMES} or be a valid ARN",
                Type="User",
            )

    def _check_for_recomended_migration_target(self, deprecated_runtime):
        # AWS offers recommended runtime for migration for "newly" deprecated runtimes
        # in order to preserve parity with error messages we need the code bellow
        latest_runtime = DEPRECATED_RUNTIMES_UPGRADES.get(deprecated_runtime)

        if latest_runtime is not None:
            LOG.debug(
                "The Lambda runtime %s is deprecated. Please upgrade to a supported Lambda runtime such as %s.",
                deprecated_runtime,
                latest_runtime,
            )
            raise InvalidParameterValueException(
                f"The runtime parameter of {deprecated_runtime} is no longer supported for creating or updating AWS Lambda functions. We recommend you use a supported runtime while creating or updating functions.",
                Type="User",
            )

    @handler(operation="UpdateFunctionConfiguration", expand=False)
    def update_function_configuration(
        self, context: RequestContext, request: UpdateFunctionConfigurationRequest
    ) -> FunctionConfiguration:
        """updates the $LATEST version of the function"""
        function_name = request.get("FunctionName")

        # in case we got ARN or partial ARN
        account_id, region = api_utils.get_account_and_region(function_name, context)
        function_name, qualifier = api_utils.get_name_and_qualifier(function_name, None, context)
        state = lambda_stores[account_id][region]

        if function_name not in state.functions:
            raise ResourceNotFoundException(
                f"Function not found: {api_utils.unqualified_lambda_arn(function_name=function_name, region=region, account=account_id)}",
                Type="User",
            )
        function = state.functions[function_name]

        # TODO: lock modification of latest version
        # TODO: notify service for changes relevant to re-provisioning of $LATEST
        latest_version = function.latest()
        latest_version_config = latest_version.config

        revision_id = request.get("RevisionId")
        if revision_id and revision_id != latest_version.config.revision_id:
            raise PreconditionFailedException(
                "The Revision Id provided does not match the latest Revision Id. "
                "Call the GetFunction/GetAlias API to retrieve the latest Revision Id",
                Type="User",
            )

        replace_kwargs = {}
        if "EphemeralStorage" in request:
            replace_kwargs["ephemeral_storage"] = LambdaEphemeralStorage(
                request.get("EphemeralStorage", {}).get("Size", 512)
            )  # TODO: do defaults here apply as well?

        if "Role" in request:
            if not api_utils.is_role_arn(request["Role"]):
                raise ValidationException(
                    f"1 validation error detected: Value '{request.get('Role')}'"
                    + " at 'role' failed to satisfy constraint: Member must satisfy regular expression pattern: arn:(aws[a-zA-Z-]*)?:iam::\\d{12}:role/?[a-zA-Z_0-9+=,.@\\-_/]+"
                )
            replace_kwargs["role"] = request["Role"]

        if "Description" in request:
            replace_kwargs["description"] = request["Description"]

        if "Timeout" in request:
            replace_kwargs["timeout"] = request["Timeout"]

        if "MemorySize" in request:
            replace_kwargs["memory_size"] = request["MemorySize"]

        if "DeadLetterConfig" in request:
            replace_kwargs["dead_letter_arn"] = request.get("DeadLetterConfig", {}).get("TargetArn")

        if vpc_config := request.get("VpcConfig"):
            replace_kwargs["vpc_config"] = self._build_vpc_config(account_id, region, vpc_config)

        if "Handler" in request:
            replace_kwargs["handler"] = request["Handler"]

        if "Runtime" in request:
            runtime = request["Runtime"]

            if runtime not in ALL_RUNTIMES:
                raise InvalidParameterValueException(
                    f"Value {runtime} at 'runtime' failed to satisfy constraint: Member must satisfy enum value set: {VALID_RUNTIMES} or be a valid ARN",
                    Type="User",
                )
            if runtime in DEPRECATED_RUNTIMES:
                LOG.warning(
                    "The Lambda runtime %s is deprecated. "
                    "Please upgrade the runtime for the function %s: "
                    "https://docs.aws.amazon.com/lambda/latest/dg/lambda-runtimes.html",
                    runtime,
                    function_name,
                )
            replace_kwargs["runtime"] = request["Runtime"]

        if snap_start := request.get("SnapStart"):
            runtime = replace_kwargs.get("runtime") or latest_version_config.runtime
            self._validate_snapstart(snap_start, runtime)
            replace_kwargs["snap_start"] = SnapStartResponse(
                ApplyOn=snap_start.get("ApplyOn", SnapStartApplyOn.None_),
                OptimizationStatus=SnapStartOptimizationStatus.Off,
            )

        if "Environment" in request:
            if env_vars := request.get("Environment", {}).get("Variables", {}):
                self._verify_env_variables(env_vars)
            replace_kwargs["environment"] = env_vars

        if "Layers" in request:
            new_layers = request["Layers"]
            if new_layers:
                self._validate_layers(new_layers, region=region, account_id=account_id)
            replace_kwargs["layers"] = self.map_layers(new_layers)

        if "ImageConfig" in request:
            new_image_config = request["ImageConfig"]
            replace_kwargs["image_config"] = ImageConfig(
                command=new_image_config.get("Command"),
                entrypoint=new_image_config.get("EntryPoint"),
                working_directory=new_image_config.get("WorkingDirectory"),
            )

        if "LoggingConfig" in request:
            logging_config = request["LoggingConfig"]
            LOG.warning(
                "Advanced Lambda Logging Configuration is currently mocked "
                "and will not impact the logging behavior. "
                "Please create a feature request if needed."
            )

            # when switching to JSON, app and system level log is auto set to INFO
            if logging_config.get("LogFormat", None) == LogFormat.JSON:
                logging_config = {
                    "ApplicationLogLevel": "INFO",
                    "SystemLogLevel": "INFO",
                } | logging_config

            last_config = latest_version_config.logging_config

            # add partial update
            new_logging_config = last_config | logging_config

            # in case we switched from JSON to Text we need to remove LogLevel keys
            if (
                new_logging_config.get("LogFormat") == LogFormat.Text
                and last_config.get("LogFormat") == LogFormat.JSON
            ):
                new_logging_config.pop("ApplicationLogLevel", None)
                new_logging_config.pop("SystemLogLevel", None)

            replace_kwargs["logging_config"] = new_logging_config

        if "TracingConfig" in request:
            new_mode = request.get("TracingConfig", {}).get("Mode")
            if new_mode:
                replace_kwargs["tracing_config_mode"] = new_mode

        new_latest_version = dataclasses.replace(
            latest_version,
            config=dataclasses.replace(
                latest_version_config,
                last_modified=api_utils.generate_lambda_date(),
                internal_revision=short_uid(),
                last_update=UpdateStatus(
                    status=LastUpdateStatus.InProgress,
                    code="Creating",
                    reason="The function is being created.",
                ),
                **replace_kwargs,
            ),
        )
        function.versions["$LATEST"] = new_latest_version  # TODO: notify
        self.lambda_service.update_version(new_version=new_latest_version)

        return api_utils.map_config_out(new_latest_version)

    @handler(operation="UpdateFunctionCode", expand=False)
    def update_function_code(
        self, context: RequestContext, request: UpdateFunctionCodeRequest
    ) -> FunctionConfiguration:
        """updates the $LATEST version of the function"""
        # only supports normal zip packaging atm
        # if request.get("Publish"):
        #     self.lambda_service.create_function_version()

        function_name = request.get("FunctionName")
        account_id, region = api_utils.get_account_and_region(function_name, context)
        function_name, qualifier = api_utils.get_name_and_qualifier(function_name, None, context)

        store = lambda_stores[account_id][region]
        if function_name not in store.functions:
            raise ResourceNotFoundException(
                f"Function not found: {api_utils.unqualified_lambda_arn(function_name=function_name, region=region, account=account_id)}",
                Type="User",
            )
        function = store.functions[function_name]

        revision_id = request.get("RevisionId")
        if revision_id and revision_id != function.latest().config.revision_id:
            raise PreconditionFailedException(
                "The Revision Id provided does not match the latest Revision Id. "
                "Call the GetFunction/GetAlias API to retrieve the latest Revision Id",
                Type="User",
            )

        # TODO verify if correct combination of code is set
        image = None
        if (
            request.get("ZipFile") or request.get("S3Bucket")
        ) and function.latest().config.package_type == PackageType.Image:
            raise InvalidParameterValueException(
                "Please provide ImageUri when updating a function with packageType Image.",
                Type="User",
            )
        elif request.get("ImageUri") and function.latest().config.package_type == PackageType.Zip:
            raise InvalidParameterValueException(
                "Please don't provide ImageUri when updating a function with packageType Zip.",
                Type="User",
            )

        if zip_file := request.get("ZipFile"):
            code = store_lambda_archive(
                archive_file=zip_file,
                function_name=function_name,
                region_name=region,
                account_id=account_id,
            )
        elif s3_bucket := request.get("S3Bucket"):
            s3_key = request["S3Key"]
            s3_object_version = request.get("S3ObjectVersion")
            code = store_s3_bucket_archive(
                archive_bucket=s3_bucket,
                archive_key=s3_key,
                archive_version=s3_object_version,
                function_name=function_name,
                region_name=region,
                account_id=account_id,
            )
        elif image := request.get("ImageUri"):
            code = None
            image = create_image_code(image_uri=image)
        else:
            raise LambdaServiceException("Gotta have s3 bucket or zip file or image")

        old_function_version = function.versions.get("$LATEST")
        replace_kwargs = {"code": code} if code else {"image": image}

        if architectures := request.get("Architectures"):
            if len(architectures) != 1:
                raise ValidationException(
                    f"1 validation error detected: Value '[{', '.join(architectures)}]' at 'architectures' failed to "
                    f"satisfy constraint: Member must have length less than or equal to 1",
                )
            # An empty list of architectures is also forbidden. Further exceptions are tested here for create_function:
            # tests.aws.services.lambda_.test_lambda_api.TestLambdaFunction.test_create_lambda_exceptions
            if architectures[0] not in ARCHITECTURES:
                raise ValidationException(
                    f"1 validation error detected: Value '[{', '.join(architectures)}]' at 'architectures' failed to "
                    f"satisfy constraint: Member must satisfy constraint: [Member must satisfy enum value set: "
                    f"[x86_64, arm64], Member must not be null]",
                )
            replace_kwargs["architectures"] = architectures

        config = dataclasses.replace(
            old_function_version.config,
            internal_revision=short_uid(),
            last_modified=api_utils.generate_lambda_date(),
            last_update=UpdateStatus(
                status=LastUpdateStatus.InProgress,
                code="Creating",
                reason="The function is being created.",
            ),
            **replace_kwargs,
        )
        function_version = dataclasses.replace(old_function_version, config=config)
        function.versions["$LATEST"] = function_version

        self.lambda_service.update_version(new_version=function_version)
        if request.get("Publish"):
            function_version = self._publish_version_with_changes(
                function_name=function_name, region=region, account_id=account_id
            )
        return api_utils.map_config_out(
            function_version, return_qualified_arn=bool(request.get("Publish"))
        )

    # TODO: does deleting the latest published version affect the next versions number?
    # TODO: what happens when we call this with a qualifier and a fully qualified ARN? (+ conflicts?)
    # TODO: test different ARN patterns (shorthand ARN?)
    # TODO: test deleting across regions?
    # TODO: test mismatch between context region and region in ARN
    # TODO: test qualifier $LATEST, alias-name and version
    def delete_function(
        self,
        context: RequestContext,
        function_name: FunctionName,
        qualifier: Qualifier = None,
        **kwargs,
    ) -> None:
        account_id, region = api_utils.get_account_and_region(function_name, context)
        function_name, qualifier = api_utils.get_name_and_qualifier(
            function_name, qualifier, context
        )

        if qualifier and api_utils.qualifier_is_alias(qualifier):
            raise InvalidParameterValueException(
                "Deletion of aliases is not currently supported.",
                Type="User",
            )

        store = lambda_stores[account_id][region]
        if qualifier == "$LATEST":
            raise InvalidParameterValueException(
                "$LATEST version cannot be deleted without deleting the function.", Type="User"
            )

        if function_name not in store.functions:
            e = ResourceNotFoundException(
                f"Function not found: {api_utils.unqualified_lambda_arn(function_name=function_name, region=region, account=account_id)}",
                Type="User",
            )
            raise e
        function = store.functions.get(function_name)

        if qualifier:
            # delete a version of the function
            version = function.versions.pop(qualifier, None)
            if version:
                self.lambda_service.stop_version(version.id.qualified_arn())
                destroy_code_if_not_used(code=version.config.code, function=function)
        else:
            # delete the whole function
            # TODO: introduce locking for safe deletion: We could create a new version at the API layer before
            #  the old version gets cleaned up in the internal lambda service.
            function = store.functions.pop(function_name)
            for version in function.versions.values():
                self.lambda_service.stop_version(qualified_arn=version.id.qualified_arn())
                # we can safely destroy the code here
                if version.config.code:
                    version.config.code.destroy()

    def list_functions(
        self,
        context: RequestContext,
        master_region: MasterRegion = None,  # (only relevant for lambda@edge)
        function_version: FunctionVersionApi = None,
        marker: String = None,
        max_items: MaxListItems = None,
        **kwargs,
    ) -> ListFunctionsResponse:
        state = lambda_stores[context.account_id][context.region]

        if function_version and function_version != FunctionVersionApi.ALL:
            raise ValidationException(
                f"1 validation error detected: Value '{function_version}'"
                + " at 'functionVersion' failed to satisfy constraint: Member must satisfy enum value set: [ALL]"
            )

        if function_version == FunctionVersionApi.ALL:
            # include all versions for all function
            versions = [v for f in state.functions.values() for v in f.versions.values()]
            return_qualified_arn = True
        else:
            versions = [f.latest() for f in state.functions.values()]
            return_qualified_arn = False

        versions = [
            api_utils.map_to_list_response(
                api_utils.map_config_out(fc, return_qualified_arn=return_qualified_arn)
            )
            for fc in versions
        ]
        versions = PaginatedList(versions)
        page, token = versions.get_page(
            lambda version: version["FunctionArn"],
            marker,
            max_items,
        )
        return ListFunctionsResponse(Functions=page, NextMarker=token)

    def get_function(
        self,
        context: RequestContext,
        function_name: NamespacedFunctionName,
        qualifier: Qualifier = None,
        **kwargs,
    ) -> GetFunctionResponse:
        account_id, region = api_utils.get_account_and_region(function_name, context)
        function_name, qualifier = api_utils.get_name_and_qualifier(
            function_name, qualifier, context
        )

        fn = lambda_stores[account_id][region].functions.get(function_name)
        if fn is None:
            if qualifier is None:
                raise ResourceNotFoundException(
                    f"Function not found: {api_utils.unqualified_lambda_arn(function_name, account_id, region)}",
                    Type="User",
                )
            else:
                raise ResourceNotFoundException(
                    f"Function not found: {api_utils.qualified_lambda_arn(function_name, qualifier, account_id, region)}",
                    Type="User",
                )
        alias_name = None
        if qualifier and api_utils.qualifier_is_alias(qualifier):
            if qualifier not in fn.aliases:
                alias_arn = api_utils.qualified_lambda_arn(
                    function_name, qualifier, account_id, region
                )
                raise ResourceNotFoundException(f"Function not found: {alias_arn}", Type="User")
            alias_name = qualifier
            qualifier = fn.aliases[alias_name].function_version

        version = get_function_version(
            function_name=function_name,
            qualifier=qualifier,
            account_id=account_id,
            region=region,
        )
        tags = self._get_tags(api_utils.unqualified_lambda_arn(function_name, account_id, region))
        additional_fields = {}
        if tags:
            additional_fields["Tags"] = tags
        code_location = None
        if code := version.config.code:
            code_location = FunctionCodeLocation(
                Location=code.generate_presigned_url(), RepositoryType="S3"
            )
        elif image := version.config.image:
            code_location = FunctionCodeLocation(
                ImageUri=image.image_uri,
                RepositoryType=image.repository_type,
                ResolvedImageUri=image.resolved_image_uri,
            )

        return GetFunctionResponse(
            Configuration=api_utils.map_config_out(
                version, return_qualified_arn=bool(qualifier), alias_name=alias_name
            ),
            Code=code_location,  # TODO
            **additional_fields,
            # Concurrency={},  # TODO
        )

    def get_function_configuration(
        self,
        context: RequestContext,
        function_name: NamespacedFunctionName,
        qualifier: Qualifier = None,
        **kwargs,
    ) -> FunctionConfiguration:
        account_id, region = api_utils.get_account_and_region(function_name, context)
        # CAVE: THIS RETURN VALUE IS *NOT* THE SAME AS IN get_function (!) but seems to be only configuration part?
        function_name, qualifier = api_utils.get_name_and_qualifier(
            function_name, qualifier, context
        )
        version = get_function_version(
            function_name=function_name,
            qualifier=qualifier,
            account_id=account_id,
            region=region,
        )
        return api_utils.map_config_out(version, return_qualified_arn=bool(qualifier))

    def invoke(
        self,
        context: RequestContext,
        function_name: NamespacedFunctionName,
        invocation_type: InvocationType = None,
        log_type: LogType = None,
        client_context: String = None,
        payload: IO[Blob] = None,
        qualifier: Qualifier = None,
        **kwargs,
    ) -> InvocationResponse:
        account_id, region = api_utils.get_account_and_region(function_name, context)
        function_name, qualifier = api_utils.get_name_and_qualifier(
            function_name, qualifier, context
        )

        time_before = time.perf_counter()
        try:
            invocation_result = self.lambda_service.invoke(
                function_name=function_name,
                qualifier=qualifier,
                region=region,
                account_id=account_id,
                invocation_type=invocation_type,
                client_context=client_context,
                request_id=context.request_id,
                trace_context=context.trace_context,
                payload=payload.read() if payload else None,
            )
        except ServiceException:
            raise
        except EnvironmentStartupTimeoutException as e:
            raise LambdaServiceException("Internal error while executing lambda") from e
        except Exception as e:
            LOG.error("Error while invoking lambda", exc_info=e)
            raise LambdaServiceException("Internal error while executing lambda") from e

        if invocation_type == InvocationType.Event:
            # This happens when invocation type is event
            return InvocationResponse(StatusCode=202)
        if invocation_type == InvocationType.DryRun:
            # This happens when invocation type is dryrun
            return InvocationResponse(StatusCode=204)
        LOG.debug("Lambda invocation duration: %0.2fms", (time.perf_counter() - time_before) * 1000)

        response = InvocationResponse(
            StatusCode=200,
            Payload=invocation_result.payload,
            ExecutedVersion=invocation_result.executed_version,
        )

        if invocation_result.is_error:
            response["FunctionError"] = "Unhandled"

        if log_type == LogType.Tail:
            response["LogResult"] = to_str(
                base64.b64encode(to_bytes(invocation_result.logs)[-4096:])
            )

        return response

    # Version operations
    def publish_version(
        self,
        context: RequestContext,
        function_name: FunctionName,
        code_sha256: String = None,
        description: Description = None,
        revision_id: String = None,
        **kwargs,
    ) -> FunctionConfiguration:
        account_id, region = api_utils.get_account_and_region(function_name, context)
        function_name = api_utils.get_function_name(function_name, context)
        new_version = self._publish_version_from_existing_version(
            function_name=function_name,
            description=description,
            account_id=account_id,
            region=region,
            revision_id=revision_id,
            code_sha256=code_sha256,
        )
        return api_utils.map_config_out(new_version, return_qualified_arn=True)

    def list_versions_by_function(
        self,
        context: RequestContext,
        function_name: NamespacedFunctionName,
        marker: String = None,
        max_items: MaxListItems = None,
        **kwargs,
    ) -> ListVersionsByFunctionResponse:
        account_id, region = api_utils.get_account_and_region(function_name, context)
        function_name = api_utils.get_function_name(function_name, context)
        function = self._get_function(
            function_name=function_name, region=region, account_id=account_id
        )
        versions = [
            api_utils.map_to_list_response(
                api_utils.map_config_out(version=version, return_qualified_arn=True)
            )
            for version in function.versions.values()
        ]
        items = PaginatedList(versions)
        page, token = items.get_page(
            lambda item: item,
            marker,
            max_items,
        )
        return ListVersionsByFunctionResponse(Versions=page, NextMarker=token)

    # Alias

    def _create_routing_config_model(
        self, routing_config_dict: dict[str, float], function_version: FunctionVersion
    ):
        if len(routing_config_dict) > 1:
            raise InvalidParameterValueException(
                "Number of items in AdditionalVersionWeights cannot be greater than 1",
                Type="User",
            )
        # should be exactly one item here, still iterating, might be supported in the future
        for key, value in routing_config_dict.items():
            if value < 0.0 or value >= 1.0:
                raise ValidationException(
                    f"1 validation error detected: Value '{{{key}={value}}}' at 'routingConfig.additionalVersionWeights' failed to satisfy constraint: Map value must satisfy constraint: [Member must have value less than or equal to 1.0, Member must have value greater than or equal to 0.0, Member must not be null]"
                )
            if key == function_version.id.qualifier:
                raise InvalidParameterValueException(
                    f"Invalid function version {function_version.id.qualifier}. Function version {function_version.id.qualifier} is already included in routing configuration.",
                    Type="User",
                )
            # check if version target is latest, then no routing config is allowed
            if function_version.id.qualifier == "$LATEST":
                raise InvalidParameterValueException(
                    "$LATEST is not supported for an alias pointing to more than 1 version"
                )
            if not api_utils.qualifier_is_version(key):
                raise ValidationException(
                    f"1 validation error detected: Value '{{{key}={value}}}' at 'routingConfig.additionalVersionWeights' failed to satisfy constraint: Map keys must satisfy constraint: [Member must have length less than or equal to 1024, Member must have length greater than or equal to 1, Member must satisfy regular expression pattern: [0-9]+, Member must not be null]"
                )

            # checking if the version in the config exists
            get_function_version(
                function_name=function_version.id.function_name,
                qualifier=key,
                region=function_version.id.region,
                account_id=function_version.id.account,
            )
        return AliasRoutingConfig(version_weights=routing_config_dict)

    def create_alias(
        self,
        context: RequestContext,
        function_name: FunctionName,
        name: Alias,
        function_version: Version,
        description: Description = None,
        routing_config: AliasRoutingConfiguration = None,
        **kwargs,
    ) -> AliasConfiguration:
        if not api_utils.qualifier_is_alias(name):
            raise ValidationException(
                f"1 validation error detected: Value '{name}' at 'name' failed to satisfy constraint: Member must satisfy regular expression pattern: (?!^[0-9]+$)([a-zA-Z0-9-_]+)"
            )

        account_id, region = api_utils.get_account_and_region(function_name, context)
        function_name = api_utils.get_function_name(function_name, context)
        target_version = get_function_version(
            function_name=function_name,
            qualifier=function_version,
            region=region,
            account_id=account_id,
        )
        function = self._get_function(
            function_name=function_name, region=region, account_id=account_id
        )
        # description is always present, if not specified it's an empty string
        description = description or ""
        with function.lock:
            if existing_alias := function.aliases.get(name):
                raise ResourceConflictException(
                    f"Alias already exists: {api_utils.map_alias_out(alias=existing_alias, function=function)['AliasArn']}",
                    Type="User",
                )
            # checking if the version exists
            routing_configuration = None
            if routing_config and (
                routing_config_dict := routing_config.get("AdditionalVersionWeights")
            ):
                routing_configuration = self._create_routing_config_model(
                    routing_config_dict, target_version
                )

            alias = VersionAlias(
                name=name,
                function_version=function_version,
                description=description,
                routing_configuration=routing_configuration,
            )
            function.aliases[name] = alias
        return api_utils.map_alias_out(alias=alias, function=function)

    def list_aliases(
        self,
        context: RequestContext,
        function_name: FunctionName,
        function_version: Version = None,
        marker: String = None,
        max_items: MaxListItems = None,
        **kwargs,
    ) -> ListAliasesResponse:
        account_id, region = api_utils.get_account_and_region(function_name, context)
        function_name = api_utils.get_function_name(function_name, context)
        function = self._get_function(
            function_name=function_name, region=region, account_id=account_id
        )
        aliases = [
            api_utils.map_alias_out(alias, function)
            for alias in function.aliases.values()
            if function_version is None or alias.function_version == function_version
        ]

        aliases = PaginatedList(aliases)
        page, token = aliases.get_page(
            lambda alias: alias["AliasArn"],
            marker,
            max_items,
        )

        return ListAliasesResponse(Aliases=page, NextMarker=token)

    def delete_alias(
        self, context: RequestContext, function_name: FunctionName, name: Alias, **kwargs
    ) -> None:
        account_id, region = api_utils.get_account_and_region(function_name, context)
        function_name = api_utils.get_function_name(function_name, context)
        function = self._get_function(
            function_name=function_name, region=region, account_id=account_id
        )
        version_alias = function.aliases.pop(name, None)

        # cleanup related resources
        if name in function.provisioned_concurrency_configs:
            function.provisioned_concurrency_configs.pop(name)

        # TODO: Allow for deactivating/unregistering specific Lambda URLs
        if version_alias and name in function.function_url_configs:
            url_config = function.function_url_configs.pop(name)
            LOG.debug(
                "Stopping aliased Lambda Function URL %s for %s",
                url_config.url,
                url_config.function_name,
            )

    def get_alias(
        self, context: RequestContext, function_name: FunctionName, name: Alias, **kwargs
    ) -> AliasConfiguration:
        account_id, region = api_utils.get_account_and_region(function_name, context)
        function_name = api_utils.get_function_name(function_name, context)
        function = self._get_function(
            function_name=function_name, region=region, account_id=account_id
        )
        if not (alias := function.aliases.get(name)):
            raise ResourceNotFoundException(
                f"Cannot find alias arn: {api_utils.qualified_lambda_arn(function_name=function_name, qualifier=name, region=region, account=account_id)}",
                Type="User",
            )
        return api_utils.map_alias_out(alias=alias, function=function)

    def update_alias(
        self,
        context: RequestContext,
        function_name: FunctionName,
        name: Alias,
        function_version: Version = None,
        description: Description = None,
        routing_config: AliasRoutingConfiguration = None,
        revision_id: String = None,
        **kwargs,
    ) -> AliasConfiguration:
        account_id, region = api_utils.get_account_and_region(function_name, context)
        function_name = api_utils.get_function_name(function_name, context)
        function = self._get_function(
            function_name=function_name, region=region, account_id=account_id
        )
        if not (alias := function.aliases.get(name)):
            fn_arn = api_utils.qualified_lambda_arn(function_name, name, account_id, region)
            raise ResourceNotFoundException(
                f"Alias not found: {fn_arn}",
                Type="User",
            )
        if revision_id and alias.revision_id != revision_id:
            raise PreconditionFailedException(
                "The Revision Id provided does not match the latest Revision Id. "
                "Call the GetFunction/GetAlias API to retrieve the latest Revision Id",
                Type="User",
            )
        changes = {}
        if function_version is not None:
            changes |= {"function_version": function_version}
        if description is not None:
            changes |= {"description": description}
        if routing_config is not None:
            # if it is an empty dict or AdditionalVersionWeights is empty, set routing config to None
            new_routing_config = None
            if routing_config_dict := routing_config.get("AdditionalVersionWeights"):
                new_routing_config = self._create_routing_config_model(routing_config_dict)
            changes |= {"routing_configuration": new_routing_config}
        # even if no changes are done, we have to update revision id for some reason
        old_alias = alias
        alias = dataclasses.replace(alias, **changes)
        function.aliases[name] = alias

        # TODO: signal lambda service that pointer potentially changed
        self.lambda_service.update_alias(old_alias=old_alias, new_alias=alias, function=function)

        return api_utils.map_alias_out(alias=alias, function=function)

    # =======================================
    # ======= EVENT SOURCE MAPPINGS =========
    # =======================================
    def check_service_resource_exists(
        self, service: str, resource_arn: str, function_arn: str, function_role_arn: str
    ):
        """
        Check if the service resource exists and if the function has access to it.

        Raises:
            InvalidParameterValueException: If the service resource does not exist or the function does not have access to it.
        """
        arn = parse_arn(resource_arn)
        source_client = get_internal_client(
            arn=resource_arn,
            role_arn=function_role_arn,
            service_principal=ServicePrincipal.lambda_,
            source_arn=function_arn,
        )
        if service in ["sqs", "sqs-fifo"]:
            try:
                source_client.get_queue_attributes(QueueUrl=arn["resource"])
            except ClientError as e:
                if e.response["Error"]["Code"] == "AWS.SimpleQueueService.NonExistentQueue":
                    raise InvalidParameterValueException(
                        f"Error occurred while ReceiveMessage. SQS Error Code: {e.response['Error']['Code']}. SQS Error Message: {e.response['Error']['Message']}",
                        Type="User",
                    )
                raise e
        elif service in ["kinesis"]:
            try:
                source_client.describe_stream(StreamARN=resource_arn)
            except ClientError as e:
                if e.response["Error"]["Code"] == "ResourceNotFoundException":
                    raise InvalidParameterValueException(
                        f"Stream not found: {resource_arn}",
                        Type="User",
                    )
                raise e
        elif service in ["dynamodb"]:
            try:
                source_client.describe_stream(StreamArn=resource_arn)
            except ClientError as e:
                if e.response["Error"]["Code"] == "ResourceNotFoundException":
                    raise InvalidParameterValueException(
                        f"Stream not found: {resource_arn}",
                        Type="User",
                    )
                raise e

    @handler("CreateEventSourceMapping", expand=False)
    def create_event_source_mapping(
        self,
        context: RequestContext,
        request: CreateEventSourceMappingRequest,
    ) -> EventSourceMappingConfiguration:
        return self.create_event_source_mapping_v2(context, request)

    def create_event_source_mapping_v2(
        self,
        context: RequestContext,
        request: CreateEventSourceMappingRequest,
    ) -> EventSourceMappingConfiguration:
        # Validations
        function_arn, function_name, state, function_version, function_role = (
            self.validate_event_source_mapping(context, request)
        )

        esm_config = EsmConfigFactory(request, context, function_arn).get_esm_config()

        # Copy esm_config to avoid a race condition with potential async update in the store
        state.event_source_mappings[esm_config["UUID"]] = esm_config.copy()
        enabled = request.get("Enabled", True)
        # TODO: check for potential async race condition update -> think about locking
        esm_worker = EsmWorkerFactory(esm_config, function_role, enabled).get_esm_worker()
        self.esm_workers[esm_worker.uuid] = esm_worker
        # TODO: check StateTransitionReason, LastModified, LastProcessingResult (concurrent updates requires locking!)
        if tags := request.get("Tags"):
            self._store_tags(esm_config.get("EventSourceMappingArn"), tags)
        esm_worker.create()
        return esm_config

    def validate_event_source_mapping(self, context, request):
        # TODO: test whether stream ARNs are valid sources for Pipes or ESM or whether only DynamoDB table ARNs work
        is_create_esm_request = context.operation.name == self.create_event_source_mapping.operation

        if destination_config := request.get("DestinationConfig"):
            if "OnSuccess" in destination_config:
                raise InvalidParameterValueException(
                    "Unsupported DestinationConfig parameter for given event source mapping type.",
                    Type="User",
                )

        service = None
        if "SelfManagedEventSource" in request:
            service = "kafka"
            if "SourceAccessConfigurations" not in request:
                raise InvalidParameterValueException(
                    "Required 'sourceAccessConfigurations' parameter is missing.", Type="User"
                )
        if service is None and "EventSourceArn" not in request:
            raise InvalidParameterValueException("Unrecognized event source.", Type="User")
        if service is None:
            service = extract_service_from_arn(request["EventSourceArn"])

        batch_size = api_utils.validate_and_set_batch_size(service, request.get("BatchSize"))
        if service in ["dynamodb", "kinesis"] and "StartingPosition" not in request:
            raise InvalidParameterValueException(
                "1 validation error detected: Value null at 'startingPosition' failed to satisfy constraint: Member must not be null.",
                Type="User",
            )
        if service in ["sqs", "sqs-fifo"]:
            if batch_size > 10 and request.get("MaximumBatchingWindowInSeconds", 0) == 0:
                raise InvalidParameterValueException(
                    "Maximum batch window in seconds must be greater than 0 if maximum batch size is greater than 10",
                    Type="User",
                )

        if (filter_criteria := request.get("FilterCriteria")) is not None:
            for filter_ in filter_criteria.get("Filters", []):
                pattern_str = filter_.get("Pattern")
                if not pattern_str or not isinstance(pattern_str, str):
                    raise InvalidParameterValueException(
                        "Invalid filter pattern definition.", Type="User"
                    )

                if not validate_event_pattern(pattern_str):
                    raise InvalidParameterValueException(
                        "Invalid filter pattern definition.", Type="User"
                    )

        # Can either have a FunctionName (i.e CreateEventSourceMapping request) or
        # an internal EventSourceMappingConfiguration representation
        request_function_name = request.get("FunctionName") or request.get("FunctionArn")
        # can be either a partial arn or a full arn for the version/alias
        function_name, qualifier, account, region = function_locators_from_arn(
            request_function_name
        )
        # TODO: validate `context.region` vs. `region(request["FunctionName"])` vs. `region(request["EventSourceArn"])`
        account = account or context.account_id
        region = region or context.region
        state = lambda_stores[account][region]
        fn = state.functions.get(function_name)
        if not fn:
            raise InvalidParameterValueException("Function does not exist", Type="User")

        if qualifier:
            # make sure the function version/alias exists
            if api_utils.qualifier_is_alias(qualifier):
                fn_alias = fn.aliases.get(qualifier)
                if not fn_alias:
                    raise Exception("unknown alias")  # TODO: cover via test
            elif api_utils.qualifier_is_version(qualifier):
                fn_version = fn.versions.get(qualifier)
                if not fn_version:
                    raise Exception("unknown version")  # TODO: cover via test
            elif qualifier == "$LATEST":
                pass
            else:
                raise Exception("invalid functionname")  # TODO: cover via test
            fn_arn = api_utils.qualified_lambda_arn(function_name, qualifier, account, region)

        else:
            fn_arn = api_utils.unqualified_lambda_arn(function_name, account, region)

        function_version = get_function_version_from_arn(fn_arn)
        function_role = function_version.config.role

        if source_arn := request.get("EventSourceArn"):
            self.check_service_resource_exists(service, source_arn, fn_arn, function_role)
        # Check we are validating a CreateEventSourceMapping request
        if is_create_esm_request:

            def _get_mapping_sources(mapping: dict[str, Any]) -> list[str]:
                if event_source_arn := mapping.get("EventSourceArn"):
                    return [event_source_arn]
                return (
                    mapping.get("SelfManagedEventSource", {})
                    .get("Endpoints", {})
                    .get("KAFKA_BOOTSTRAP_SERVERS", [])
                )

            # check for event source duplicates
            # TODO: currently validated for sqs, kinesis, and dynamodb
            service_id = load_service(service).service_id
            for uuid, mapping in state.event_source_mappings.items():
                mapping_sources = _get_mapping_sources(mapping)
                request_sources = _get_mapping_sources(request)
                if mapping["FunctionArn"] == fn_arn and (
                    set(mapping_sources).intersection(request_sources)
                ):
                    if service == "sqs":
                        # *shakes fist at SQS*
                        raise ResourceConflictException(
                            f'An event source mapping with {service_id} arn (" {mapping["EventSourceArn"]} ") '
                            f'and function (" {function_name} ") already exists. Please update or delete the '
                            f"existing mapping with UUID {uuid}",
                            Type="User",
                        )
                    elif service == "kafka":
                        if set(mapping["Topics"]).intersection(request["Topics"]):
                            raise ResourceConflictException(
                                f'An event source mapping with event source ("{",".join(request_sources)}"), '
                                f'function ("{fn_arn}"), '
                                f'topics ("{",".join(request["Topics"])}") already exists. Please update or delete the '
                                f"existing mapping with UUID {uuid}",
                                Type="User",
                            )
                    else:
                        raise ResourceConflictException(
                            f'The event source arn (" {mapping["EventSourceArn"]} ") and function '
                            f'(" {function_name} ") provided mapping already exists. Please update or delete the '
                            f"existing mapping with UUID {uuid}",
                            Type="User",
                        )
        return fn_arn, function_name, state, function_version, function_role

    @handler("UpdateEventSourceMapping", expand=False)
    def update_event_source_mapping(
        self,
        context: RequestContext,
        request: UpdateEventSourceMappingRequest,
    ) -> EventSourceMappingConfiguration:
        return self.update_event_source_mapping_v2(context, request)

    def update_event_source_mapping_v2(
        self,
        context: RequestContext,
        request: UpdateEventSourceMappingRequest,
    ) -> EventSourceMappingConfiguration:
        # TODO: test and implement this properly (quite complex with many validations and limitations!)
        LOG.warning(
            "Updating Lambda Event Source Mapping is in experimental state and not yet fully tested."
        )
        state = lambda_stores[context.account_id][context.region]
        request_data = {**request}
        uuid = request_data.pop("UUID", None)
        if not uuid:
            raise ResourceNotFoundException(
                "The resource you requested does not exist.", Type="User"
            )
        old_event_source_mapping = state.event_source_mappings.get(uuid)
        esm_worker = self.esm_workers.get(uuid)
        if old_event_source_mapping is None or esm_worker is None:
            raise ResourceNotFoundException(
                "The resource you requested does not exist.", Type="User"
            )  # TODO: test?

        # normalize values to overwrite
        event_source_mapping = old_event_source_mapping | request_data

        temp_params = {}  # values only set for the returned response, not saved internally (e.g. transient state)

        # Validate the newly updated ESM object. We ignore the output here since we only care whether an Exception is raised.
        function_arn, _, _, function_version, function_role = self.validate_event_source_mapping(
            context, event_source_mapping
        )

        # remove the FunctionName field
        event_source_mapping.pop("FunctionName", None)

        if function_arn:
            event_source_mapping["FunctionArn"] = function_arn

        # Only apply update if the desired state differs
        enabled = request.get("Enabled")
        if enabled is not None:
            if enabled and old_event_source_mapping["State"] != EsmState.ENABLED:
                event_source_mapping["State"] = EsmState.ENABLING
            # TODO: What happens when trying to update during an update or failed state?!
            elif not enabled and old_event_source_mapping["State"] == EsmState.ENABLED:
                event_source_mapping["State"] = EsmState.DISABLING
        else:
            event_source_mapping["State"] = EsmState.UPDATING

        # To ensure parity, certain responses need to be immediately returned
        temp_params["State"] = event_source_mapping["State"]

        state.event_source_mappings[uuid] = event_source_mapping

        # TODO: Currently, we re-create the entire ESM worker. Look into approach with better performance.
        worker_factory = EsmWorkerFactory(
            event_source_mapping, function_role, request.get("Enabled", esm_worker.enabled)
        )

        # Get a new ESM worker object but do not active it, since the factory holds all logic for creating new worker from configuration.
        updated_esm_worker = worker_factory.get_esm_worker()
        self.esm_workers[uuid] = updated_esm_worker

        # We should stop() the worker since the delete() will remove the ESM from the state mapping.
        esm_worker.stop()
        # This will either create an EsmWorker in the CREATING state if enabled. Otherwise, the DISABLING state is set.
        updated_esm_worker.create()

        return {**event_source_mapping, **temp_params}

    def delete_event_source_mapping(
        self, context: RequestContext, uuid: String, **kwargs
    ) -> EventSourceMappingConfiguration:
        state = lambda_stores[context.account_id][context.region]
        event_source_mapping = state.event_source_mappings.get(uuid)
        if not event_source_mapping:
            raise ResourceNotFoundException(
                "The resource you requested does not exist.", Type="User"
            )
        esm = state.event_source_mappings[uuid]
        # TODO: add proper locking
        esm_worker = self.esm_workers.pop(uuid, None)
        # Asynchronous delete in v2
        if not esm_worker:
            raise ResourceNotFoundException(
                "The resource you requested does not exist.", Type="User"
            )
        esm_worker.delete()
        return {**esm, "State": EsmState.DELETING}

    def get_event_source_mapping(
        self, context: RequestContext, uuid: String, **kwargs
    ) -> EventSourceMappingConfiguration:
        state = lambda_stores[context.account_id][context.region]
        event_source_mapping = state.event_source_mappings.get(uuid)
        if not event_source_mapping:
            raise ResourceNotFoundException(
                "The resource you requested does not exist.", Type="User"
            )
        esm_worker = self.esm_workers.get(uuid)
        if not esm_worker:
            raise ResourceNotFoundException(
                "The resource you requested does not exist.", Type="User"
            )
        event_source_mapping["State"] = esm_worker.current_state
        event_source_mapping["StateTransitionReason"] = esm_worker.state_transition_reason
        return event_source_mapping

    def list_event_source_mappings(
        self,
        context: RequestContext,
        event_source_arn: Arn = None,
        function_name: FunctionName = None,
        marker: String = None,
        max_items: MaxListItems = None,
        **kwargs,
    ) -> ListEventSourceMappingsResponse:
        state = lambda_stores[context.account_id][context.region]

        esms = state.event_source_mappings.values()
        # TODO: update and test State and StateTransitionReason for ESM v2

        if event_source_arn:  # TODO: validate pattern
            esms = [e for e in esms if e.get("EventSourceArn") == event_source_arn]

        if function_name:
            esms = [e for e in esms if function_name in e["FunctionArn"]]

        esms = PaginatedList(esms)
        page, token = esms.get_page(
            lambda x: x["UUID"],
            marker,
            max_items,
        )
        return ListEventSourceMappingsResponse(EventSourceMappings=page, NextMarker=token)

    def get_source_type_from_request(self, request: dict[str, Any]) -> str:
        if event_source_arn := request.get("EventSourceArn", ""):
            service = extract_service_from_arn(event_source_arn)
            if service == "sqs" and "fifo" in event_source_arn:
                service = "sqs-fifo"
            return service
        elif request.get("SelfManagedEventSource"):
            return "kafka"

    # =======================================
    # ============ FUNCTION URLS ============
    # =======================================

    @staticmethod
    def _validate_qualifier(qualifier: str) -> None:
        if qualifier == "$LATEST" or (qualifier and api_utils.qualifier_is_version(qualifier)):
            raise ValidationException(
                f"1 validation error detected: Value '{qualifier}' at 'qualifier' failed to satisfy constraint: Member must satisfy regular expression pattern: ((?!^\\d+$)^[0-9a-zA-Z-_]+$)"
            )

    @staticmethod
    def _validate_invoke_mode(invoke_mode: str) -> None:
        if invoke_mode and invoke_mode not in [InvokeMode.BUFFERED, InvokeMode.RESPONSE_STREAM]:
            raise ValidationException(
                f"1 validation error detected: Value '{invoke_mode}' at 'invokeMode' failed to satisfy constraint: Member must satisfy enum value set: [RESPONSE_STREAM, BUFFERED]"
            )
        if invoke_mode == InvokeMode.RESPONSE_STREAM:
            # TODO should we actually fail for setting RESPONSE_STREAM?
            #  It should trigger InvokeWithResponseStream which is not implemented
            LOG.warning(
                "The invokeMode 'RESPONSE_STREAM' is not yet supported on LocalStack. The property is only mocked, the execution will still be 'BUFFERED'"
            )

    # TODO: what happens if function state is not active?
    def create_function_url_config(
        self,
        context: RequestContext,
        function_name: FunctionName,
        auth_type: FunctionUrlAuthType,
        qualifier: FunctionUrlQualifier = None,
        cors: Cors = None,
        invoke_mode: InvokeMode = None,
        **kwargs,
    ) -> CreateFunctionUrlConfigResponse:
        account_id, region = api_utils.get_account_and_region(function_name, context)
        function_name, qualifier = api_utils.get_name_and_qualifier(
            function_name, qualifier, context
        )
        state = lambda_stores[account_id][region]
        self._validate_qualifier(qualifier)
        self._validate_invoke_mode(invoke_mode)

        fn = state.functions.get(function_name)
        if fn is None:
            raise ResourceNotFoundException("Function does not exist", Type="User")

        url_config = fn.function_url_configs.get(qualifier or "$LATEST")
        if url_config:
            raise ResourceConflictException(
                f"Failed to create function url config for [functionArn = {url_config.function_arn}]. Error message:  FunctionUrlConfig exists for this Lambda function",
                Type="User",
            )

        if qualifier and qualifier != "$LATEST" and qualifier not in fn.aliases:
            raise ResourceNotFoundException("Function does not exist", Type="User")

        normalized_qualifier = qualifier or "$LATEST"

        function_arn = (
            api_utils.qualified_lambda_arn(function_name, qualifier, account_id, region)
            if qualifier
            else api_utils.unqualified_lambda_arn(function_name, account_id, region)
        )

        custom_id: str | None = None

        tags = self._get_tags(api_utils.unqualified_lambda_arn(function_name, account_id, region))
        if TAG_KEY_CUSTOM_URL in tags:
            # Note: I really wanted to add verification here that the
            # url_id is unique, so we could surface that to the user ASAP.
            # However, it seems like that information isn't available yet,
            # since (as far as I can tell) we call
            # self.router.register_routes() once, in a single shot, for all
            # of the routes -- and we need to verify that it's unique not
            # just for this particular lambda function, but for the entire
            # lambda provider. Therefore... that idea proved non-trivial!
            custom_id_tag_value = (
                f"{tags[TAG_KEY_CUSTOM_URL]}-{qualifier}" if qualifier else tags[TAG_KEY_CUSTOM_URL]
            )
            if TAG_KEY_CUSTOM_URL_VALIDATOR.match(custom_id_tag_value):
                custom_id = custom_id_tag_value

            else:
                # Note: we're logging here instead of raising to prioritize
                # strict parity with AWS over the localstack-only custom_id
                LOG.warning(
                    "Invalid custom ID tag value for lambda URL (%s=%s). "
                    "Replaced with default (random id)",
                    TAG_KEY_CUSTOM_URL,
                    custom_id_tag_value,
                )

        # The url_id is the subdomain used for the URL we're creating. This
        # is either created randomly (as in AWS), or can be passed as a tag
        # to the lambda itself (localstack-only).
        url_id: str
        if custom_id is None:
            url_id = api_utils.generate_random_url_id()
        else:
            url_id = custom_id

        host_definition = localstack_host(custom_port=config.GATEWAY_LISTEN[0].port)
        fn.function_url_configs[normalized_qualifier] = FunctionUrlConfig(
            function_arn=function_arn,
            function_name=function_name,
            cors=cors,
            url_id=url_id,
            url=f"http://{url_id}.lambda-url.{context.region}.{host_definition.host_and_port()}/",  # TODO: https support
            auth_type=auth_type,
            creation_time=api_utils.generate_lambda_date(),
            last_modified_time=api_utils.generate_lambda_date(),
            invoke_mode=invoke_mode,
        )

        # persist and start URL
        # TODO: implement URL invoke
        api_url_config = api_utils.map_function_url_config(
            fn.function_url_configs[normalized_qualifier]
        )

        return CreateFunctionUrlConfigResponse(
            FunctionUrl=api_url_config["FunctionUrl"],
            FunctionArn=api_url_config["FunctionArn"],
            AuthType=api_url_config["AuthType"],
            Cors=api_url_config["Cors"],
            CreationTime=api_url_config["CreationTime"],
            InvokeMode=api_url_config["InvokeMode"],
        )

    def get_function_url_config(
        self,
        context: RequestContext,
        function_name: FunctionName,
        qualifier: FunctionUrlQualifier = None,
        **kwargs,
    ) -> GetFunctionUrlConfigResponse:
        account_id, region = api_utils.get_account_and_region(function_name, context)
        state = lambda_stores[account_id][region]

        fn_name, qualifier = api_utils.get_name_and_qualifier(function_name, qualifier, context)

        self._validate_qualifier(qualifier)

        resolved_fn = state.functions.get(fn_name)
        if not resolved_fn:
            raise ResourceNotFoundException(
                "The resource you requested does not exist.", Type="User"
            )

        qualifier = qualifier or "$LATEST"
        url_config = resolved_fn.function_url_configs.get(qualifier)
        if not url_config:
            raise ResourceNotFoundException(
                "The resource you requested does not exist.", Type="User"
            )

        return api_utils.map_function_url_config(url_config)

    def update_function_url_config(
        self,
        context: RequestContext,
        function_name: FunctionName,
        qualifier: FunctionUrlQualifier = None,
        auth_type: FunctionUrlAuthType = None,
        cors: Cors = None,
        invoke_mode: InvokeMode = None,
        **kwargs,
    ) -> UpdateFunctionUrlConfigResponse:
        account_id, region = api_utils.get_account_and_region(function_name, context)
        state = lambda_stores[account_id][region]

        function_name, qualifier = api_utils.get_name_and_qualifier(
            function_name, qualifier, context
        )
        self._validate_qualifier(qualifier)
        self._validate_invoke_mode(invoke_mode)

        fn = state.functions.get(function_name)
        if not fn:
            raise ResourceNotFoundException("Function does not exist", Type="User")

        normalized_qualifier = qualifier or "$LATEST"

        if (
            api_utils.qualifier_is_alias(normalized_qualifier)
            and normalized_qualifier not in fn.aliases
        ):
            raise ResourceNotFoundException("Function does not exist", Type="User")

        url_config = fn.function_url_configs.get(normalized_qualifier)
        if not url_config:
            raise ResourceNotFoundException(
                "The resource you requested does not exist.", Type="User"
            )

        changes = {
            "last_modified_time": api_utils.generate_lambda_date(),
            **({"cors": cors} if cors is not None else {}),
            **({"auth_type": auth_type} if auth_type is not None else {}),
        }

        if invoke_mode:
            changes["invoke_mode"] = invoke_mode

        new_url_config = dataclasses.replace(url_config, **changes)
        fn.function_url_configs[normalized_qualifier] = new_url_config

        return UpdateFunctionUrlConfigResponse(
            FunctionUrl=new_url_config.url,
            FunctionArn=new_url_config.function_arn,
            AuthType=new_url_config.auth_type,
            Cors=new_url_config.cors,
            CreationTime=new_url_config.creation_time,
            LastModifiedTime=new_url_config.last_modified_time,
            InvokeMode=new_url_config.invoke_mode,
        )

    def delete_function_url_config(
        self,
        context: RequestContext,
        function_name: FunctionName,
        qualifier: FunctionUrlQualifier = None,
        **kwargs,
    ) -> None:
        account_id, region = api_utils.get_account_and_region(function_name, context)
        state = lambda_stores[account_id][region]

        function_name, qualifier = api_utils.get_name_and_qualifier(
            function_name, qualifier, context
        )
        self._validate_qualifier(qualifier)

        resolved_fn = state.functions.get(function_name)
        if not resolved_fn:
            raise ResourceNotFoundException(
                "The resource you requested does not exist.", Type="User"
            )

        qualifier = qualifier or "$LATEST"
        url_config = resolved_fn.function_url_configs.get(qualifier)
        if not url_config:
            raise ResourceNotFoundException(
                "The resource you requested does not exist.", Type="User"
            )

        del resolved_fn.function_url_configs[qualifier]

    def list_function_url_configs(
        self,
        context: RequestContext,
        function_name: FunctionName,
        marker: String = None,
        max_items: MaxItems = None,
        **kwargs,
    ) -> ListFunctionUrlConfigsResponse:
        account_id, region = api_utils.get_account_and_region(function_name, context)
        state = lambda_stores[account_id][region]

        fn_name = api_utils.get_function_name(function_name, context)
        resolved_fn = state.functions.get(fn_name)
        if not resolved_fn:
            raise ResourceNotFoundException("Function does not exist", Type="User")

        url_configs = [
            api_utils.map_function_url_config(fn_conf)
            for fn_conf in resolved_fn.function_url_configs.values()
        ]
        url_configs = PaginatedList(url_configs)
        page, token = url_configs.get_page(
            lambda url_config: url_config["FunctionArn"],
            marker,
            max_items,
        )
        url_configs = page
        return ListFunctionUrlConfigsResponse(FunctionUrlConfigs=url_configs, NextMarker=token)

    # =======================================
    # ============  Permissions  ============
    # =======================================

    @handler("AddPermission", expand=False)
    def add_permission(
        self,
        context: RequestContext,
        request: AddPermissionRequest,
    ) -> AddPermissionResponse:
        function_name, qualifier = api_utils.get_name_and_qualifier(
            request.get("FunctionName"), request.get("Qualifier"), context
        )

        # validate qualifier
        if qualifier is not None:
            self._validate_qualifier_expression(qualifier)
            if qualifier == "$LATEST":
                raise InvalidParameterValueException(
                    "We currently do not support adding policies for $LATEST.", Type="User"
                )
        account_id, region = api_utils.get_account_and_region(request.get("FunctionName"), context)

        resolved_fn = self._get_function(function_name, account_id, region)
        resolved_qualifier, fn_arn = self._resolve_fn_qualifier(resolved_fn, qualifier)

        revision_id = request.get("RevisionId")
        if revision_id:
            fn_revision_id = self._function_revision_id(resolved_fn, resolved_qualifier)
            if revision_id != fn_revision_id:
                raise PreconditionFailedException(
                    "The Revision Id provided does not match the latest Revision Id. "
                    "Call the GetFunction/GetAlias API to retrieve the latest Revision Id",
                    Type="User",
                )

        request_sid = request["StatementId"]
        if not bool(STATEMENT_ID_REGEX.match(request_sid)):
            raise ValidationException(
                f"1 validation error detected: Value '{request_sid}' at 'statementId' failed to satisfy constraint: Member must satisfy regular expression pattern: ([a-zA-Z0-9-_]+)"
            )
        # check for an already existing policy and any conflicts in existing statements
        existing_policy = resolved_fn.permissions.get(resolved_qualifier)
        if existing_policy:
            if request_sid in [s["Sid"] for s in existing_policy.policy.Statement]:
                # uniqueness scope: statement id needs to be unique per qualified function ($LATEST, version, or alias)
                # Counterexample: the same sid can exist within $LATEST, version, and alias
                raise ResourceConflictException(
                    f"The statement id ({request_sid}) provided already exists. Please provide a new statement id, or remove the existing statement.",
                    Type="User",
                )

        permission_statement = api_utils.build_statement(
            partition=context.partition,
            resource_arn=fn_arn,
            statement_id=request["StatementId"],
            action=request["Action"],
            principal=request["Principal"],
            source_arn=request.get("SourceArn"),
            source_account=request.get("SourceAccount"),
            principal_org_id=request.get("PrincipalOrgID"),
            event_source_token=request.get("EventSourceToken"),
            auth_type=request.get("FunctionUrlAuthType"),
        )
        new_policy = existing_policy
        if not existing_policy:
            new_policy = FunctionResourcePolicy(
                policy=ResourcePolicy(Version="2012-10-17", Id="default", Statement=[])
            )
        new_policy.policy.Statement.append(permission_statement)
        if not existing_policy:
            resolved_fn.permissions[resolved_qualifier] = new_policy

        # Update revision id of alias or version
        # TODO: re-evaluate data model to prevent this dirty hack just for bumping the revision id
        # TODO: does that need a `with function.lock` for atomic updates of the policy + revision_id?
        if api_utils.qualifier_is_alias(resolved_qualifier):
            resolved_alias = resolved_fn.aliases[resolved_qualifier]
            resolved_fn.aliases[resolved_qualifier] = dataclasses.replace(resolved_alias)
        # Assumes that a non-alias is a version
        else:
            resolved_version = resolved_fn.versions[resolved_qualifier]
            resolved_fn.versions[resolved_qualifier] = dataclasses.replace(
                resolved_version, config=dataclasses.replace(resolved_version.config)
            )
        return AddPermissionResponse(Statement=json.dumps(permission_statement))

    def remove_permission(
        self,
        context: RequestContext,
        function_name: FunctionName,
        statement_id: NamespacedStatementId,
        qualifier: Qualifier = None,
        revision_id: String = None,
        **kwargs,
    ) -> None:
        account_id, region = api_utils.get_account_and_region(function_name, context)
        function_name, qualifier = api_utils.get_name_and_qualifier(
            function_name, qualifier, context
        )
        if qualifier is not None:
            self._validate_qualifier_expression(qualifier)

        state = lambda_stores[account_id][region]
        resolved_fn = state.functions.get(function_name)
        if resolved_fn is None:
            fn_arn = api_utils.unqualified_lambda_arn(function_name, account_id, region)
            raise ResourceNotFoundException(f"No policy found for: {fn_arn}", Type="User")

        resolved_qualifier, _ = self._resolve_fn_qualifier(resolved_fn, qualifier)
        function_permission = resolved_fn.permissions.get(resolved_qualifier)
        if not function_permission:
            raise ResourceNotFoundException(
                "No policy is associated with the given resource.", Type="User"
            )

        # try to find statement in policy and delete it
        statement = None
        for s in function_permission.policy.Statement:
            if s["Sid"] == statement_id:
                statement = s
                break

        if not statement:
            raise ResourceNotFoundException(
                f"Statement {statement_id} is not found in resource policy.", Type="User"
            )
        fn_revision_id = self._function_revision_id(resolved_fn, resolved_qualifier)
        if revision_id and revision_id != fn_revision_id:
            raise PreconditionFailedException(
                "The Revision Id provided does not match the latest Revision Id. "
                "Call the GetFunction/GetAlias API to retrieve the latest Revision Id",
                Type="User",
            )
        function_permission.policy.Statement.remove(statement)

        # Update revision id for alias or version
        # TODO: re-evaluate data model to prevent this dirty hack just for bumping the revision id
        # TODO: does that need a `with function.lock` for atomic updates of the policy + revision_id?
        if api_utils.qualifier_is_alias(resolved_qualifier):
            resolved_alias = resolved_fn.aliases[resolved_qualifier]
            resolved_fn.aliases[resolved_qualifier] = dataclasses.replace(resolved_alias)
        # Assumes that a non-alias is a version
        else:
            resolved_version = resolved_fn.versions[resolved_qualifier]
            resolved_fn.versions[resolved_qualifier] = dataclasses.replace(
                resolved_version, config=dataclasses.replace(resolved_version.config)
            )

        # remove the policy as a whole when there's no statement left in it
        if len(function_permission.policy.Statement) == 0:
            del resolved_fn.permissions[resolved_qualifier]

    def get_policy(
        self,
        context: RequestContext,
        function_name: NamespacedFunctionName,
        qualifier: Qualifier = None,
        **kwargs,
    ) -> GetPolicyResponse:
        account_id, region = api_utils.get_account_and_region(function_name, context)
        function_name, qualifier = api_utils.get_name_and_qualifier(
            function_name, qualifier, context
        )

        if qualifier is not None:
            self._validate_qualifier_expression(qualifier)

        resolved_fn = self._get_function(function_name, account_id, region)

        resolved_qualifier = qualifier or "$LATEST"
        function_permission = resolved_fn.permissions.get(resolved_qualifier)
        if not function_permission:
            raise ResourceNotFoundException(
                "The resource you requested does not exist.", Type="User"
            )

        fn_revision_id = None
        if api_utils.qualifier_is_alias(resolved_qualifier):
            resolved_alias = resolved_fn.aliases[resolved_qualifier]
            fn_revision_id = resolved_alias.revision_id
        # Assumes that a non-alias is a version
        else:
            resolved_version = resolved_fn.versions[resolved_qualifier]
            fn_revision_id = resolved_version.config.revision_id

        return GetPolicyResponse(
            Policy=json.dumps(dataclasses.asdict(function_permission.policy)),
            RevisionId=fn_revision_id,
        )

    # =======================================
    # ========  Code signing config  ========
    # =======================================

    def create_code_signing_config(
        self,
        context: RequestContext,
        allowed_publishers: AllowedPublishers,
        description: Description = None,
        code_signing_policies: CodeSigningPolicies = None,
        tags: Tags = None,
        **kwargs,
    ) -> CreateCodeSigningConfigResponse:
        account = context.account_id
        region = context.region

        state = lambda_stores[account][region]
        # TODO: can there be duplicates?
        csc_id = f"csc-{get_random_hex(17)}"  # e.g. 'csc-077c33b4c19e26036'
        csc_arn = f"arn:{context.partition}:lambda:{region}:{account}:code-signing-config:{csc_id}"
        csc = CodeSigningConfig(
            csc_id=csc_id,
            arn=csc_arn,
            allowed_publishers=allowed_publishers,
            policies=code_signing_policies,
            last_modified=api_utils.generate_lambda_date(),
            description=description,
        )
        state.code_signing_configs[csc_arn] = csc
        return CreateCodeSigningConfigResponse(CodeSigningConfig=api_utils.map_csc(csc))

    def put_function_code_signing_config(
        self,
        context: RequestContext,
        code_signing_config_arn: CodeSigningConfigArn,
        function_name: FunctionName,
        **kwargs,
    ) -> PutFunctionCodeSigningConfigResponse:
        account_id, region = api_utils.get_account_and_region(function_name, context)
        state = lambda_stores[account_id][region]
        function_name = api_utils.get_function_name(function_name, context)

        csc = state.code_signing_configs.get(code_signing_config_arn)
        if not csc:
            raise CodeSigningConfigNotFoundException(
                f"The code signing configuration cannot be found. Check that the provided configuration is not deleted: {code_signing_config_arn}.",
                Type="User",
            )

        fn = state.functions.get(function_name)
        fn_arn = api_utils.unqualified_lambda_arn(function_name, account_id, region)
        if not fn:
            raise ResourceNotFoundException(f"Function not found: {fn_arn}", Type="User")

        fn.code_signing_config_arn = code_signing_config_arn
        return PutFunctionCodeSigningConfigResponse(
            CodeSigningConfigArn=code_signing_config_arn, FunctionName=function_name
        )

    def update_code_signing_config(
        self,
        context: RequestContext,
        code_signing_config_arn: CodeSigningConfigArn,
        description: Description = None,
        allowed_publishers: AllowedPublishers = None,
        code_signing_policies: CodeSigningPolicies = None,
        **kwargs,
    ) -> UpdateCodeSigningConfigResponse:
        state = lambda_stores[context.account_id][context.region]
        csc = state.code_signing_configs.get(code_signing_config_arn)
        if not csc:
            raise ResourceNotFoundException(
                f"The Lambda code signing configuration {code_signing_config_arn} can not be found."
            )

        changes = {
            **(
                {"allowed_publishers": allowed_publishers} if allowed_publishers is not None else {}
            ),
            **({"policies": code_signing_policies} if code_signing_policies is not None else {}),
            **({"description": description} if description is not None else {}),
        }
        new_csc = dataclasses.replace(
            csc, last_modified=api_utils.generate_lambda_date(), **changes
        )
        state.code_signing_configs[code_signing_config_arn] = new_csc

        return UpdateCodeSigningConfigResponse(CodeSigningConfig=api_utils.map_csc(new_csc))

    def get_code_signing_config(
        self, context: RequestContext, code_signing_config_arn: CodeSigningConfigArn, **kwargs
    ) -> GetCodeSigningConfigResponse:
        state = lambda_stores[context.account_id][context.region]
        csc = state.code_signing_configs.get(code_signing_config_arn)
        if not csc:
            raise ResourceNotFoundException(
                f"The Lambda code signing configuration {code_signing_config_arn} can not be found."
            )

        return GetCodeSigningConfigResponse(CodeSigningConfig=api_utils.map_csc(csc))

    def get_function_code_signing_config(
        self, context: RequestContext, function_name: FunctionName, **kwargs
    ) -> GetFunctionCodeSigningConfigResponse:
        account_id, region = api_utils.get_account_and_region(function_name, context)
        state = lambda_stores[account_id][region]
        function_name = api_utils.get_function_name(function_name, context)
        fn = state.functions.get(function_name)
        fn_arn = api_utils.unqualified_lambda_arn(function_name, account_id, region)
        if not fn:
            raise ResourceNotFoundException(f"Function not found: {fn_arn}", Type="User")

        if fn.code_signing_config_arn:
            return GetFunctionCodeSigningConfigResponse(
                CodeSigningConfigArn=fn.code_signing_config_arn, FunctionName=function_name
            )

        return GetFunctionCodeSigningConfigResponse()

    def delete_function_code_signing_config(
        self, context: RequestContext, function_name: FunctionName, **kwargs
    ) -> None:
        account_id, region = api_utils.get_account_and_region(function_name, context)
        state = lambda_stores[account_id][region]
        function_name = api_utils.get_function_name(function_name, context)
        fn = state.functions.get(function_name)
        fn_arn = api_utils.unqualified_lambda_arn(function_name, account_id, region)
        if not fn:
            raise ResourceNotFoundException(f"Function not found: {fn_arn}", Type="User")

        fn.code_signing_config_arn = None

    def delete_code_signing_config(
        self, context: RequestContext, code_signing_config_arn: CodeSigningConfigArn, **kwargs
    ) -> DeleteCodeSigningConfigResponse:
        state = lambda_stores[context.account_id][context.region]

        csc = state.code_signing_configs.get(code_signing_config_arn)
        if not csc:
            raise ResourceNotFoundException(
                f"The Lambda code signing configuration {code_signing_config_arn} can not be found."
            )

        del state.code_signing_configs[code_signing_config_arn]

        return DeleteCodeSigningConfigResponse()

    def list_code_signing_configs(
        self,
        context: RequestContext,
        marker: String = None,
        max_items: MaxListItems = None,
        **kwargs,
    ) -> ListCodeSigningConfigsResponse:
        state = lambda_stores[context.account_id][context.region]

        cscs = [api_utils.map_csc(csc) for csc in state.code_signing_configs.values()]
        cscs = PaginatedList(cscs)
        page, token = cscs.get_page(
            lambda csc: csc["CodeSigningConfigId"],
            marker,
            max_items,
        )
        return ListCodeSigningConfigsResponse(CodeSigningConfigs=page, NextMarker=token)

    def list_functions_by_code_signing_config(
        self,
        context: RequestContext,
        code_signing_config_arn: CodeSigningConfigArn,
        marker: String = None,
        max_items: MaxListItems = None,
        **kwargs,
    ) -> ListFunctionsByCodeSigningConfigResponse:
        account = context.account_id
        region = context.region

        state = lambda_stores[account][region]

        if code_signing_config_arn not in state.code_signing_configs:
            raise ResourceNotFoundException(
                f"The Lambda code signing configuration {code_signing_config_arn} can not be found."
            )

        fn_arns = [
            api_utils.unqualified_lambda_arn(fn.function_name, account, region)
            for fn in state.functions.values()
            if fn.code_signing_config_arn == code_signing_config_arn
        ]

        cscs = PaginatedList(fn_arns)
        page, token = cscs.get_page(
            lambda x: x,
            marker,
            max_items,
        )
        return ListFunctionsByCodeSigningConfigResponse(FunctionArns=page, NextMarker=token)

    # =======================================
    # =========  Account Settings   =========
    # =======================================

    # CAVE: these settings & usages are *per* region!
    # Lambda quotas: https://docs.aws.amazon.com/lambda/latest/dg/gettingstarted-limits.html
    def get_account_settings(self, context: RequestContext, **kwargs) -> GetAccountSettingsResponse:
        state = lambda_stores[context.account_id][context.region]

        fn_count = 0
        code_size_sum = 0
        reserved_concurrency_sum = 0
        for fn in state.functions.values():
            fn_count += 1
            for fn_version in fn.versions.values():
                # Image-based Lambdas do not have a code attribute and count against the ECR quotas instead
                if fn_version.config.package_type == PackageType.Zip:
                    code_size_sum += fn_version.config.code.code_size
            if fn.reserved_concurrent_executions is not None:
                reserved_concurrency_sum += fn.reserved_concurrent_executions
            for c in fn.provisioned_concurrency_configs.values():
                reserved_concurrency_sum += c.provisioned_concurrent_executions
        for layer in state.layers.values():
            for layer_version in layer.layer_versions.values():
                code_size_sum += layer_version.code.code_size
        return GetAccountSettingsResponse(
            AccountLimit=AccountLimit(
                TotalCodeSize=config.LAMBDA_LIMITS_TOTAL_CODE_SIZE,
                CodeSizeZipped=config.LAMBDA_LIMITS_CODE_SIZE_ZIPPED,
                CodeSizeUnzipped=config.LAMBDA_LIMITS_CODE_SIZE_UNZIPPED,
                ConcurrentExecutions=config.LAMBDA_LIMITS_CONCURRENT_EXECUTIONS,
                UnreservedConcurrentExecutions=config.LAMBDA_LIMITS_CONCURRENT_EXECUTIONS
                - reserved_concurrency_sum,
            ),
            AccountUsage=AccountUsage(
                TotalCodeSize=code_size_sum,
                FunctionCount=fn_count,
            ),
        )

    # =======================================
    # ==  Provisioned Concurrency Config   ==
    # =======================================

    def _get_provisioned_config(
        self, context: RequestContext, function_name: str, qualifier: str
    ) -> ProvisionedConcurrencyConfiguration | None:
        account_id, region = api_utils.get_account_and_region(function_name, context)
        state = lambda_stores[account_id][region]
        function_name = api_utils.get_function_name(function_name, context)
        fn = state.functions.get(function_name)
        if api_utils.qualifier_is_alias(qualifier):
            fn_alias = None
            if fn:
                fn_alias = fn.aliases.get(qualifier)
            if fn_alias is None:
                raise ResourceNotFoundException(
                    f"Cannot find alias arn: {api_utils.qualified_lambda_arn(function_name, qualifier, account_id, region)}",
                    Type="User",
                )
        elif api_utils.qualifier_is_version(qualifier):
            fn_version = None
            if fn:
                fn_version = fn.versions.get(qualifier)
            if fn_version is None:
                raise ResourceNotFoundException(
                    f"Function not found: {api_utils.qualified_lambda_arn(function_name, qualifier, account_id, region)}",
                    Type="User",
                )

        return fn.provisioned_concurrency_configs.get(qualifier)

    def put_provisioned_concurrency_config(
        self,
        context: RequestContext,
        function_name: FunctionName,
        qualifier: Qualifier,
        provisioned_concurrent_executions: PositiveInteger,
        **kwargs,
    ) -> PutProvisionedConcurrencyConfigResponse:
        if provisioned_concurrent_executions <= 0:
            raise ValidationException(
                f"1 validation error detected: Value '{provisioned_concurrent_executions}' at 'provisionedConcurrentExecutions' failed to satisfy constraint: Member must have value greater than or equal to 1"
            )

        if qualifier == "$LATEST":
            raise InvalidParameterValueException(
                "Provisioned Concurrency Configs cannot be applied to unpublished function versions.",
                Type="User",
            )
        account_id, region = api_utils.get_account_and_region(function_name, context)
        function_name, qualifier = api_utils.get_name_and_qualifier(
            function_name, qualifier, context
        )
        state = lambda_stores[account_id][region]
        fn = state.functions.get(function_name)

        provisioned_config = self._get_provisioned_config(context, function_name, qualifier)

        if provisioned_config:  # TODO: merge?
            # TODO: add a test for partial updates (if possible)
            LOG.warning(
                "Partial update of provisioned concurrency config is currently not supported."
            )

        other_provisioned_sum = sum(
            [
                provisioned_configs.provisioned_concurrent_executions
                for provisioned_qualifier, provisioned_configs in fn.provisioned_concurrency_configs.items()
                if provisioned_qualifier != qualifier
            ]
        )

        if (
            fn.reserved_concurrent_executions is not None
            and fn.reserved_concurrent_executions
            < other_provisioned_sum + provisioned_concurrent_executions
        ):
            raise InvalidParameterValueException(
                "Requested Provisioned Concurrency should not be greater than the reservedConcurrentExecution for function",
                Type="User",
            )

        if provisioned_concurrent_executions > config.LAMBDA_LIMITS_CONCURRENT_EXECUTIONS:
            raise InvalidParameterValueException(
                f"Specified ConcurrentExecutions for function is greater than account's unreserved concurrency"
                f" [{config.LAMBDA_LIMITS_CONCURRENT_EXECUTIONS}]."
            )

        settings = self.get_account_settings(context)
        unreserved_concurrent_executions = settings["AccountLimit"][
            "UnreservedConcurrentExecutions"
        ]
        if (
            unreserved_concurrent_executions - provisioned_concurrent_executions
            < config.LAMBDA_LIMITS_MINIMUM_UNRESERVED_CONCURRENCY
        ):
            raise InvalidParameterValueException(
                f"Specified ConcurrentExecutions for function decreases account's UnreservedConcurrentExecution below"
                f" its minimum value of [{config.LAMBDA_LIMITS_MINIMUM_UNRESERVED_CONCURRENCY}]."
            )

        provisioned_config = ProvisionedConcurrencyConfiguration(
            provisioned_concurrent_executions, api_utils.generate_lambda_date()
        )
        fn_arn = api_utils.qualified_lambda_arn(function_name, qualifier, account_id, region)

        if api_utils.qualifier_is_alias(qualifier):
            alias = fn.aliases.get(qualifier)
            resolved_version = fn.versions.get(alias.function_version)

            if (
                resolved_version
                and fn.provisioned_concurrency_configs.get(alias.function_version) is not None
            ):
                raise ResourceConflictException(
                    "Alias can't be used for Provisioned Concurrency configuration on an already Provisioned version",
                    Type="User",
                )
            fn_arn = resolved_version.id.qualified_arn()
        elif api_utils.qualifier_is_version(qualifier):
            fn_version = fn.versions.get(qualifier)

            # TODO: might be useful other places, utilize
            pointing_aliases = []
            for alias in fn.aliases.values():
                if (
                    alias.function_version == qualifier
                    and fn.provisioned_concurrency_configs.get(alias.name) is not None
                ):
                    pointing_aliases.append(alias.name)
            if pointing_aliases:
                raise ResourceConflictException(
                    "Version is pointed by a Provisioned Concurrency alias", Type="User"
                )

            fn_arn = fn_version.id.qualified_arn()

        manager = self.lambda_service.get_lambda_version_manager(fn_arn)

        fn.provisioned_concurrency_configs[qualifier] = provisioned_config

        manager.update_provisioned_concurrency_config(
            provisioned_config.provisioned_concurrent_executions
        )

        return PutProvisionedConcurrencyConfigResponse(
            RequestedProvisionedConcurrentExecutions=provisioned_config.provisioned_concurrent_executions,
            AvailableProvisionedConcurrentExecutions=0,
            AllocatedProvisionedConcurrentExecutions=0,
            Status=ProvisionedConcurrencyStatusEnum.IN_PROGRESS,
            # StatusReason=manager.provisioned_state.status_reason,
            LastModified=provisioned_config.last_modified,  # TODO: does change with configuration or also with state changes?
        )

    def get_provisioned_concurrency_config(
        self, context: RequestContext, function_name: FunctionName, qualifier: Qualifier, **kwargs
    ) -> GetProvisionedConcurrencyConfigResponse:
        if qualifier == "$LATEST":
            raise InvalidParameterValueException(
                "The function resource provided must be an alias or a published version.",
                Type="User",
            )
        account_id, region = api_utils.get_account_and_region(function_name, context)
        function_name, qualifier = api_utils.get_name_and_qualifier(
            function_name, qualifier, context
        )

        provisioned_config = self._get_provisioned_config(context, function_name, qualifier)
        if not provisioned_config:
            raise ProvisionedConcurrencyConfigNotFoundException(
                "No Provisioned Concurrency Config found for this function", Type="User"
            )

        # TODO: make this compatible with alias pointer migration on update
        if api_utils.qualifier_is_alias(qualifier):
            state = lambda_stores[account_id][region]
            fn = state.functions.get(function_name)
            alias = fn.aliases.get(qualifier)
            fn_arn = api_utils.qualified_lambda_arn(
                function_name, alias.function_version, account_id, region
            )
        else:
            fn_arn = api_utils.qualified_lambda_arn(function_name, qualifier, account_id, region)

        ver_manager = self.lambda_service.get_lambda_version_manager(fn_arn)

        return GetProvisionedConcurrencyConfigResponse(
            RequestedProvisionedConcurrentExecutions=provisioned_config.provisioned_concurrent_executions,
            LastModified=provisioned_config.last_modified,
            AvailableProvisionedConcurrentExecutions=ver_manager.provisioned_state.available,
            AllocatedProvisionedConcurrentExecutions=ver_manager.provisioned_state.allocated,
            Status=ver_manager.provisioned_state.status,
            StatusReason=ver_manager.provisioned_state.status_reason,
        )

    def list_provisioned_concurrency_configs(
        self,
        context: RequestContext,
        function_name: FunctionName,
        marker: String = None,
        max_items: MaxProvisionedConcurrencyConfigListItems = None,
        **kwargs,
    ) -> ListProvisionedConcurrencyConfigsResponse:
        account_id, region = api_utils.get_account_and_region(function_name, context)
        state = lambda_stores[account_id][region]

        function_name = api_utils.get_function_name(function_name, context)
        fn = state.functions.get(function_name)
        if fn is None:
            raise ResourceNotFoundException(
                f"Function not found: {api_utils.unqualified_lambda_arn(function_name, account_id, region)}",
                Type="User",
            )

        configs = []
        for qualifier, pc_config in fn.provisioned_concurrency_configs.items():
            if api_utils.qualifier_is_alias(qualifier):
                alias = fn.aliases.get(qualifier)
                fn_arn = api_utils.qualified_lambda_arn(
                    function_name, alias.function_version, account_id, region
                )
            else:
                fn_arn = api_utils.qualified_lambda_arn(
                    function_name, qualifier, account_id, region
                )

            manager = self.lambda_service.get_lambda_version_manager(fn_arn)

            configs.append(
                ProvisionedConcurrencyConfigListItem(
                    FunctionArn=api_utils.qualified_lambda_arn(
                        function_name, qualifier, account_id, region
                    ),
                    RequestedProvisionedConcurrentExecutions=pc_config.provisioned_concurrent_executions,
                    AvailableProvisionedConcurrentExecutions=manager.provisioned_state.available,
                    AllocatedProvisionedConcurrentExecutions=manager.provisioned_state.allocated,
                    Status=manager.provisioned_state.status,
                    StatusReason=manager.provisioned_state.status_reason,
                    LastModified=pc_config.last_modified,
                )
            )

        provisioned_concurrency_configs = configs
        provisioned_concurrency_configs = PaginatedList(provisioned_concurrency_configs)
        page, token = provisioned_concurrency_configs.get_page(
            lambda x: x,
            marker,
            max_items,
        )
        return ListProvisionedConcurrencyConfigsResponse(
            ProvisionedConcurrencyConfigs=page, NextMarker=token
        )

    def delete_provisioned_concurrency_config(
        self, context: RequestContext, function_name: FunctionName, qualifier: Qualifier, **kwargs
    ) -> None:
        if qualifier == "$LATEST":
            raise InvalidParameterValueException(
                "The function resource provided must be an alias or a published version.",
                Type="User",
            )
        account_id, region = api_utils.get_account_and_region(function_name, context)
        function_name, qualifier = api_utils.get_name_and_qualifier(
            function_name, qualifier, context
        )
        state = lambda_stores[account_id][region]
        fn = state.functions.get(function_name)

        provisioned_config = self._get_provisioned_config(context, function_name, qualifier)
        # delete is idempotent and doesn't actually care about the provisioned concurrency config not existing
        if provisioned_config:
            fn.provisioned_concurrency_configs.pop(qualifier)
            fn_arn = api_utils.qualified_lambda_arn(function_name, qualifier, account_id, region)
            manager = self.lambda_service.get_lambda_version_manager(fn_arn)
            manager.update_provisioned_concurrency_config(0)

    # =======================================
    # =======  Event Invoke Config   ========
    # =======================================

    # "1 validation error detected: Value 'arn:aws:_-/!lambda:<region>:111111111111:function:<function-name:1>' at 'destinationConfig.onFailure.destination' failed to satisfy constraint: Member must satisfy regular expression pattern: ^$|arn:(aws[a-zA-Z0-9-]*):([a-zA-Z0-9\\-])+:([a-z]{2}((-gov)|(-iso(b?)))?-[a-z]+-\\d{1})?:(\\d{12})?:(.*)"
    # "1 validation error detected: Value 'arn:aws:_-/!lambda:<region>:111111111111:function:<function-name:1>' at 'destinationConfig.onFailure.destination' failed to satisfy constraint: Member must satisfy regular expression pattern: ^$|arn:(aws[a-zA-Z0-9-]*):([a-zA-Z0-9\\-])+:([a-z]2((-gov)|(-iso(b?)))?-[a-z]+-\\d1)?:(\\d12)?:(.*)" ... (expected → actual)

    def _validate_destination_config(
        self, store: LambdaStore, function_name: str, destination_config: DestinationConfig
    ):
        def _validate_destination_arn(destination_arn) -> bool:
            if not api_utils.DESTINATION_ARN_PATTERN.match(destination_arn):
                # technically we shouldn't handle this in the provider
                raise ValidationException(
                    "1 validation error detected: Value '"
                    + destination_arn
                    + r"' at 'destinationConfig.onFailure.destination' failed to satisfy constraint: Member must satisfy regular expression pattern: ^$|arn:(aws[a-zA-Z0-9-]*):([a-zA-Z0-9\-])+:([a-z]{2}((-gov)|(-iso(b?)))?-[a-z]+-\d{1})?:(\d{12})?:(.*)"
                )

            match destination_arn.split(":")[2]:
                case "lambda":
                    fn_parts = api_utils.FULL_FN_ARN_PATTERN.search(destination_arn).groupdict()
                    if fn_parts:
                        # check if it exists
                        fn = store.functions.get(fn_parts["function_name"])
                        if not fn:
                            raise InvalidParameterValueException(
                                f"The destination ARN {destination_arn} is invalid.", Type="User"
                            )
                        if fn_parts["function_name"] == function_name:
                            raise InvalidParameterValueException(
                                "You can't specify the function as a destination for itself.",
                                Type="User",
                            )
                case "sns" | "sqs" | "events":
                    pass
                case _:
                    return False
            return True

        validation_err = False

        failure_destination = destination_config.get("OnFailure", {}).get("Destination")
        if failure_destination:
            validation_err = validation_err or not _validate_destination_arn(failure_destination)

        success_destination = destination_config.get("OnSuccess", {}).get("Destination")
        if success_destination:
            validation_err = validation_err or not _validate_destination_arn(success_destination)

        if validation_err:
            on_success_part = (
                f"OnSuccess(destination={success_destination})" if success_destination else "null"
            )
            on_failure_part = (
                f"OnFailure(destination={failure_destination})" if failure_destination else "null"
            )
            raise InvalidParameterValueException(
                f"The provided destination config DestinationConfig(onSuccess={on_success_part}, onFailure={on_failure_part}) is invalid.",
                Type="User",
            )

    def put_function_event_invoke_config(
        self,
        context: RequestContext,
        function_name: FunctionName,
        qualifier: Qualifier = None,
        maximum_retry_attempts: MaximumRetryAttempts = None,
        maximum_event_age_in_seconds: MaximumEventAgeInSeconds = None,
        destination_config: DestinationConfig = None,
        **kwargs,
    ) -> FunctionEventInvokeConfig:
        """
        Destination ARNs can be:
        * SQS arn
        * SNS arn
        * Lambda arn
        * EventBridge arn

        Differences between put_ and update_:
            * put overwrites any existing config
            * update allows changes only single values while keeping the rest of existing ones
            * update fails on non-existing configs

        Differences between destination and DLQ
            * "However, a dead-letter queue is part of a function's version-specific configuration, so it is locked in when you publish a version."
            *  "On-failure destinations also support additional targets and include details about the function's response in the invocation record."

        """
        if (
            maximum_event_age_in_seconds is None
            and maximum_retry_attempts is None
            and destination_config is None
        ):
            raise InvalidParameterValueException(
                "You must specify at least one of error handling or destination setting.",
                Type="User",
            )
        account_id, region = api_utils.get_account_and_region(function_name, context)
        state = lambda_stores[account_id][region]
        function_name, qualifier = api_utils.get_name_and_qualifier(
            function_name, qualifier, context
        )
        fn = state.functions.get(function_name)
        if not fn or (qualifier and not (qualifier in fn.aliases or qualifier in fn.versions)):
            raise ResourceNotFoundException("The function doesn't exist.", Type="User")

        qualifier = qualifier or "$LATEST"

        # validate and normalize destination config
        if destination_config:
            self._validate_destination_config(state, function_name, destination_config)

        destination_config = DestinationConfig(
            OnSuccess=OnSuccess(
                Destination=(destination_config or {}).get("OnSuccess", {}).get("Destination")
            ),
            OnFailure=OnFailure(
                Destination=(destination_config or {}).get("OnFailure", {}).get("Destination")
            ),
        )

        config = EventInvokeConfig(
            function_name=function_name,
            qualifier=qualifier,
            maximum_event_age_in_seconds=maximum_event_age_in_seconds,
            maximum_retry_attempts=maximum_retry_attempts,
            last_modified=api_utils.generate_lambda_date(),
            destination_config=destination_config,
        )
        fn.event_invoke_configs[qualifier] = config

        return FunctionEventInvokeConfig(
            LastModified=datetime.datetime.strptime(
                config.last_modified, api_utils.LAMBDA_DATE_FORMAT
            ),
            FunctionArn=api_utils.qualified_lambda_arn(
                function_name, qualifier or "$LATEST", account_id, region
            ),
            DestinationConfig=destination_config,
            MaximumEventAgeInSeconds=maximum_event_age_in_seconds,
            MaximumRetryAttempts=maximum_retry_attempts,
        )

    def get_function_event_invoke_config(
        self,
        context: RequestContext,
        function_name: FunctionName,
        qualifier: Qualifier = None,
        **kwargs,
    ) -> FunctionEventInvokeConfig:
        account_id, region = api_utils.get_account_and_region(function_name, context)
        state = lambda_stores[account_id][region]
        function_name, qualifier = api_utils.get_name_and_qualifier(
            function_name, qualifier, context
        )

        qualifier = qualifier or "$LATEST"
        fn = state.functions.get(function_name)
        if not fn:
            fn_arn = api_utils.qualified_lambda_arn(function_name, qualifier, account_id, region)
            raise ResourceNotFoundException(
                f"The function {fn_arn} doesn't have an EventInvokeConfig", Type="User"
            )

        config = fn.event_invoke_configs.get(qualifier)
        if not config:
            fn_arn = api_utils.qualified_lambda_arn(function_name, qualifier, account_id, region)
            raise ResourceNotFoundException(
                f"The function {fn_arn} doesn't have an EventInvokeConfig", Type="User"
            )

        return FunctionEventInvokeConfig(
            LastModified=datetime.datetime.strptime(
                config.last_modified, api_utils.LAMBDA_DATE_FORMAT
            ),
            FunctionArn=api_utils.qualified_lambda_arn(
                function_name, qualifier, account_id, region
            ),
            DestinationConfig=config.destination_config,
            MaximumEventAgeInSeconds=config.maximum_event_age_in_seconds,
            MaximumRetryAttempts=config.maximum_retry_attempts,
        )

    def list_function_event_invoke_configs(
        self,
        context: RequestContext,
        function_name: FunctionName,
        marker: String = None,
        max_items: MaxFunctionEventInvokeConfigListItems = None,
        **kwargs,
    ) -> ListFunctionEventInvokeConfigsResponse:
        account_id, region = api_utils.get_account_and_region(function_name, context)
        state = lambda_stores[account_id][region]
        fn = state.functions.get(function_name)
        if not fn:
            raise ResourceNotFoundException("The function doesn't exist.", Type="User")

        event_invoke_configs = [
            FunctionEventInvokeConfig(
                LastModified=c.last_modified,
                FunctionArn=api_utils.qualified_lambda_arn(
                    function_name, c.qualifier, account_id, region
                ),
                MaximumEventAgeInSeconds=c.maximum_event_age_in_seconds,
                MaximumRetryAttempts=c.maximum_retry_attempts,
                DestinationConfig=c.destination_config,
            )
            for c in fn.event_invoke_configs.values()
        ]

        event_invoke_configs = PaginatedList(event_invoke_configs)
        page, token = event_invoke_configs.get_page(
            lambda x: x["FunctionArn"],
            marker,
            max_items,
        )
        return ListFunctionEventInvokeConfigsResponse(
            FunctionEventInvokeConfigs=page, NextMarker=token
        )

    def delete_function_event_invoke_config(
        self,
        context: RequestContext,
        function_name: FunctionName,
        qualifier: Qualifier = None,
        **kwargs,
    ) -> None:
        account_id, region = api_utils.get_account_and_region(function_name, context)
        function_name, qualifier = api_utils.get_name_and_qualifier(
            function_name, qualifier, context
        )
        state = lambda_stores[account_id][region]
        fn = state.functions.get(function_name)
        resolved_qualifier = qualifier or "$LATEST"
        fn_arn = api_utils.qualified_lambda_arn(function_name, qualifier, account_id, region)
        if not fn:
            raise ResourceNotFoundException(
                f"The function {fn_arn} doesn't have an EventInvokeConfig", Type="User"
            )

        config = fn.event_invoke_configs.get(resolved_qualifier)
        if not config:
            raise ResourceNotFoundException(
                f"The function {fn_arn} doesn't have an EventInvokeConfig", Type="User"
            )

        del fn.event_invoke_configs[resolved_qualifier]

    def update_function_event_invoke_config(
        self,
        context: RequestContext,
        function_name: FunctionName,
        qualifier: Qualifier = None,
        maximum_retry_attempts: MaximumRetryAttempts = None,
        maximum_event_age_in_seconds: MaximumEventAgeInSeconds = None,
        destination_config: DestinationConfig = None,
        **kwargs,
    ) -> FunctionEventInvokeConfig:
        # like put but only update single fields via replace
        account_id, region = api_utils.get_account_and_region(function_name, context)
        state = lambda_stores[account_id][region]
        function_name, qualifier = api_utils.get_name_and_qualifier(
            function_name, qualifier, context
        )

        if (
            maximum_event_age_in_seconds is None
            and maximum_retry_attempts is None
            and destination_config is None
        ):
            raise InvalidParameterValueException(
                "You must specify at least one of error handling or destination setting.",
                Type="User",
            )

        fn = state.functions.get(function_name)
        if not fn or (qualifier and not (qualifier in fn.aliases or qualifier in fn.versions)):
            raise ResourceNotFoundException("The function doesn't exist.", Type="User")

        qualifier = qualifier or "$LATEST"

        config = fn.event_invoke_configs.get(qualifier)
        if not config:
            fn_arn = api_utils.qualified_lambda_arn(function_name, qualifier, account_id, region)
            raise ResourceNotFoundException(
                f"The function {fn_arn} doesn't have an EventInvokeConfig", Type="User"
            )

        if destination_config:
            self._validate_destination_config(state, function_name, destination_config)

        optional_kwargs = {
            k: v
            for k, v in {
                "destination_config": destination_config,
                "maximum_retry_attempts": maximum_retry_attempts,
                "maximum_event_age_in_seconds": maximum_event_age_in_seconds,
            }.items()
            if v is not None
        }

        new_config = dataclasses.replace(
            config, last_modified=api_utils.generate_lambda_date(), **optional_kwargs
        )
        fn.event_invoke_configs[qualifier] = new_config

        return FunctionEventInvokeConfig(
            LastModified=datetime.datetime.strptime(
                new_config.last_modified, api_utils.LAMBDA_DATE_FORMAT
            ),
            FunctionArn=api_utils.qualified_lambda_arn(
                function_name, qualifier or "$LATEST", account_id, region
            ),
            DestinationConfig=new_config.destination_config,
            MaximumEventAgeInSeconds=new_config.maximum_event_age_in_seconds,
            MaximumRetryAttempts=new_config.maximum_retry_attempts,
        )

    # =======================================
    # ======  Layer & Layer Versions  =======
    # =======================================

    @staticmethod
    def _resolve_layer(
        layer_name_or_arn: str, context: RequestContext
    ) -> Tuple[str, str, str, Optional[str]]:
        """
        Return locator attributes for a given Lambda layer.

        :param layer_name_or_arn: Layer name or ARN
        :param context: Request context
        :return: Tuple of region, account ID, layer name, layer version
        """
        if api_utils.is_layer_arn(layer_name_or_arn):
            return api_utils.parse_layer_arn(layer_name_or_arn)

        return context.region, context.account_id, layer_name_or_arn, None

    def publish_layer_version(
        self,
        context: RequestContext,
        layer_name: LayerName,
        content: LayerVersionContentInput,
        description: Description = None,
        compatible_runtimes: CompatibleRuntimes = None,
        license_info: LicenseInfo = None,
        compatible_architectures: CompatibleArchitectures = None,
        **kwargs,
    ) -> PublishLayerVersionResponse:
        """
        On first use of a LayerName a new layer is created and for each subsequent call with the same LayerName a new version is created.
        Note that there are no $LATEST versions with layers!

        """
        account = context.account_id
        region = context.region

        validation_errors = api_utils.validate_layer_runtimes_and_architectures(
            compatible_runtimes, compatible_architectures
        )
        if validation_errors:
            raise ValidationException(
                f"{len(validation_errors)} validation error{'s' if len(validation_errors) > 1 else ''} detected: {'; '.join(validation_errors)}"
            )

        state = lambda_stores[account][region]
        with self.create_layer_lock:
            if layer_name not in state.layers:
                # we don't have a version so create new layer object
                # lock is required to avoid creating two v1 objects for the same name
                layer = Layer(
                    arn=api_utils.layer_arn(layer_name=layer_name, account=account, region=region)
                )
                state.layers[layer_name] = layer

        layer = state.layers[layer_name]
        with layer.next_version_lock:
            next_version = LambdaLayerVersionIdentifier(
                account_id=account, region=region, layer_name=layer_name
            ).generate(next_version=layer.next_version)
            # When creating a layer with user defined layer version, it is possible that we
            # create layer versions out of order.
            # ie. a user could replicate layer v2 then layer v1. It is important to always keep the maximum possible
            # value for next layer to avoid overwriting existing versions
            if layer.next_version <= next_version:
                # We don't need to update layer.next_version if the created version is lower than the "next in line"
                layer.next_version = max(next_version, layer.next_version) + 1

        # creating a new layer
        if content.get("ZipFile"):
            code = store_lambda_archive(
                archive_file=content["ZipFile"],
                function_name=layer_name,
                region_name=region,
                account_id=account,
            )
        else:
            code = store_s3_bucket_archive(
                archive_bucket=content["S3Bucket"],
                archive_key=content["S3Key"],
                archive_version=content.get("S3ObjectVersion"),
                function_name=layer_name,
                region_name=region,
                account_id=account,
            )

        new_layer_version = LayerVersion(
            layer_version_arn=api_utils.layer_version_arn(
                layer_name=layer_name,
                account=account,
                region=region,
                version=str(next_version),
            ),
            layer_arn=layer.arn,
            version=next_version,
            description=description or "",
            license_info=license_info,
            compatible_runtimes=compatible_runtimes,
            compatible_architectures=compatible_architectures,
            created=api_utils.generate_lambda_date(),
            code=code,
        )

        layer.layer_versions[str(next_version)] = new_layer_version

        return api_utils.map_layer_out(new_layer_version)

    def get_layer_version(
        self,
        context: RequestContext,
        layer_name: LayerName,
        version_number: LayerVersionNumber,
        **kwargs,
    ) -> GetLayerVersionResponse:
        # TODO: handle layer_name as an ARN

        region_name, account_id, layer_name, _ = LambdaProvider._resolve_layer(layer_name, context)
        state = lambda_stores[account_id][region_name]

        layer = state.layers.get(layer_name)
        if version_number < 1:
            raise InvalidParameterValueException("Layer Version Cannot be less than 1", Type="User")
        if layer is None:
            raise ResourceNotFoundException(
                "The resource you requested does not exist.", Type="User"
            )
        layer_version = layer.layer_versions.get(str(version_number))
        if layer_version is None:
            raise ResourceNotFoundException(
                "The resource you requested does not exist.", Type="User"
            )
        return api_utils.map_layer_out(layer_version)

    def get_layer_version_by_arn(
        self, context: RequestContext, arn: LayerVersionArn, **kwargs
    ) -> GetLayerVersionResponse:
        region_name, account_id, layer_name, layer_version = LambdaProvider._resolve_layer(
            arn, context
        )

        if not layer_version:
            raise ValidationException(
                f"1 validation error detected: Value '{arn}' at 'arn' failed to satisfy constraint: Member must satisfy regular expression pattern: "
                + "(arn:(aws[a-zA-Z-]*)?:lambda:[a-z]{2}((-gov)|(-iso([a-z]?)))?-[a-z]+-\\d{1}:\\d{12}:layer:[a-zA-Z0-9-_]+:[0-9]+)|(arn:[a-zA-Z0-9-]+:lambda:::awslayer:[a-zA-Z0-9-_]+)"
            )

        store = lambda_stores[account_id][region_name]
        if not (layers := store.layers.get(layer_name)):
            raise ResourceNotFoundException(
                "The resource you requested does not exist.", Type="User"
            )

        layer_version = layers.layer_versions.get(layer_version)

        if not layer_version:
            raise ResourceNotFoundException(
                "The resource you requested does not exist.", Type="User"
            )

        return api_utils.map_layer_out(layer_version)

    def list_layers(
        self,
        context: RequestContext,
        compatible_runtime: Runtime = None,
        marker: String = None,
        max_items: MaxLayerListItems = None,
        compatible_architecture: Architecture = None,
        **kwargs,
    ) -> ListLayersResponse:
        validation_errors = []

        validation_error_arch = api_utils.validate_layer_architecture(compatible_architecture)
        if validation_error_arch:
            validation_errors.append(validation_error_arch)

        validation_error_runtime = api_utils.validate_layer_runtime(compatible_runtime)
        if validation_error_runtime:
            validation_errors.append(validation_error_runtime)

        if validation_errors:
            raise ValidationException(
                f"{len(validation_errors)} validation error{'s' if len(validation_errors) > 1 else ''} detected: {';'.join(validation_errors)}"
            )
        # TODO: handle filter: compatible_runtime
        # TODO: handle filter: compatible_architecture

        state = lambda_stores[context.account_id][context.region]
        layers = state.layers

        # TODO: test how filters behave together with only returning layers here? Does it return the latest "matching" layer, i.e. does it ignore later layer versions that don't match?

        responses: list[LayersListItem] = []
        for layer_name, layer in layers.items():
            # fetch latest version
            layer_versions = list(layer.layer_versions.values())
            sorted(layer_versions, key=lambda x: x.version)
            latest_layer_version = layer_versions[-1]
            responses.append(
                LayersListItem(
                    LayerName=layer_name,
                    LayerArn=layer.arn,
                    LatestMatchingVersion=api_utils.map_layer_out(latest_layer_version),
                )
            )

        responses = PaginatedList(responses)
        page, token = responses.get_page(
            lambda version: version,
            marker,
            max_items,
        )

        return ListLayersResponse(NextMarker=token, Layers=page)

    def list_layer_versions(
        self,
        context: RequestContext,
        layer_name: LayerName,
        compatible_runtime: Runtime = None,
        marker: String = None,
        max_items: MaxLayerListItems = None,
        compatible_architecture: Architecture = None,
        **kwargs,
    ) -> ListLayerVersionsResponse:
        validation_errors = api_utils.validate_layer_runtimes_and_architectures(
            [compatible_runtime] if compatible_runtime else [],
            [compatible_architecture] if compatible_architecture else [],
        )
        if validation_errors:
            raise ValidationException(
                f"{len(validation_errors)} validation error{'s' if len(validation_errors) > 1 else ''} detected: {';'.join(validation_errors)}"
            )

        region_name, account_id, layer_name, layer_version = LambdaProvider._resolve_layer(
            layer_name, context
        )
        state = lambda_stores[account_id][region_name]

        # TODO: Test & handle filter: compatible_runtime
        # TODO: Test & handle filter: compatible_architecture
        all_layer_versions = []
        layer = state.layers.get(layer_name)
        if layer is not None:
            for layer_version in layer.layer_versions.values():
                all_layer_versions.append(api_utils.map_layer_out(layer_version))

        all_layer_versions.sort(key=lambda x: x["Version"], reverse=True)
        all_layer_versions = PaginatedList(all_layer_versions)
        page, token = all_layer_versions.get_page(
            lambda version: version["LayerVersionArn"],
            marker,
            max_items,
        )
        return ListLayerVersionsResponse(NextMarker=token, LayerVersions=page)

    def delete_layer_version(
        self,
        context: RequestContext,
        layer_name: LayerName,
        version_number: LayerVersionNumber,
        **kwargs,
    ) -> None:
        if version_number < 1:
            raise InvalidParameterValueException("Layer Version Cannot be less than 1", Type="User")

        region_name, account_id, layer_name, layer_version = LambdaProvider._resolve_layer(
            layer_name, context
        )

        store = lambda_stores[account_id][region_name]
        layer = store.layers.get(layer_name, {})
        if layer:
            layer.layer_versions.pop(str(version_number), None)

    # =======================================
    # =====  Layer Version Permissions  =====
    # =======================================
    # TODO: lock updates that change revision IDs

    def add_layer_version_permission(
        self,
        context: RequestContext,
        layer_name: LayerName,
        version_number: LayerVersionNumber,
        statement_id: StatementId,
        action: LayerPermissionAllowedAction,
        principal: LayerPermissionAllowedPrincipal,
        organization_id: OrganizationId = None,
        revision_id: String = None,
        **kwargs,
    ) -> AddLayerVersionPermissionResponse:
        # `layer_name` can either be layer name or ARN. It is used to generate error messages.
        # `layer_n` contains the layer name.
        region_name, account_id, layer_n, _ = LambdaProvider._resolve_layer(layer_name, context)

        if action != "lambda:GetLayerVersion":
            raise ValidationException(
                f"1 validation error detected: Value '{action}' at 'action' failed to satisfy constraint: Member must satisfy regular expression pattern: lambda:GetLayerVersion"
            )

        store = lambda_stores[account_id][region_name]
        layer = store.layers.get(layer_n)

        layer_version_arn = api_utils.layer_version_arn(
            layer_name, account_id, region_name, str(version_number)
        )

        if layer is None:
            raise ResourceNotFoundException(
                f"Layer version {layer_version_arn} does not exist.", Type="User"
            )
        layer_version = layer.layer_versions.get(str(version_number))
        if layer_version is None:
            raise ResourceNotFoundException(
                f"Layer version {layer_version_arn} does not exist.", Type="User"
            )
        # do we have a policy? if not set one
        if layer_version.policy is None:
            layer_version.policy = LayerPolicy()

        if statement_id in layer_version.policy.statements:
            raise ResourceConflictException(
                f"The statement id ({statement_id}) provided already exists. Please provide a new statement id, or remove the existing statement.",
                Type="User",
            )

        if revision_id and layer_version.policy.revision_id != revision_id:
            raise PreconditionFailedException(
                "The Revision Id provided does not match the latest Revision Id. "
                "Call the GetLayerPolicy API to retrieve the latest Revision Id",
                Type="User",
            )

        statement = LayerPolicyStatement(
            sid=statement_id, action=action, principal=principal, organization_id=organization_id
        )

        old_statements = layer_version.policy.statements
        layer_version.policy = dataclasses.replace(
            layer_version.policy, statements={**old_statements, statement_id: statement}
        )

        return AddLayerVersionPermissionResponse(
            Statement=json.dumps(
                {
                    "Sid": statement.sid,
                    "Effect": "Allow",
                    "Principal": statement.principal,
                    "Action": statement.action,
                    "Resource": layer_version.layer_version_arn,
                }
            ),
            RevisionId=layer_version.policy.revision_id,
        )

    def remove_layer_version_permission(
        self,
        context: RequestContext,
        layer_name: LayerName,
        version_number: LayerVersionNumber,
        statement_id: StatementId,
        revision_id: String = None,
        **kwargs,
    ) -> None:
        # `layer_name` can either be layer name or ARN. It is used to generate error messages.
        # `layer_n` contains the layer name.
        region_name, account_id, layer_n, layer_version = LambdaProvider._resolve_layer(
            layer_name, context
        )

        layer_version_arn = api_utils.layer_version_arn(
            layer_name, account_id, region_name, str(version_number)
        )

        state = lambda_stores[account_id][region_name]
        layer = state.layers.get(layer_n)
        if layer is None:
            raise ResourceNotFoundException(
                f"Layer version {layer_version_arn} does not exist.", Type="User"
            )
        layer_version = layer.layer_versions.get(str(version_number))
        if layer_version is None:
            raise ResourceNotFoundException(
                f"Layer version {layer_version_arn} does not exist.", Type="User"
            )

        if revision_id and layer_version.policy.revision_id != revision_id:
            raise PreconditionFailedException(
                "The Revision Id provided does not match the latest Revision Id. "
                "Call the GetLayerPolicy API to retrieve the latest Revision Id",
                Type="User",
            )

        if statement_id not in layer_version.policy.statements:
            raise ResourceNotFoundException(
                f"Statement {statement_id} is not found in resource policy.", Type="User"
            )

        old_statements = layer_version.policy.statements
        layer_version.policy = dataclasses.replace(
            layer_version.policy,
            statements={k: v for k, v in old_statements.items() if k != statement_id},
        )

    def get_layer_version_policy(
        self,
        context: RequestContext,
        layer_name: LayerName,
        version_number: LayerVersionNumber,
        **kwargs,
    ) -> GetLayerVersionPolicyResponse:
        # `layer_name` can either be layer name or ARN. It is used to generate error messages.
        # `layer_n` contains the layer name.
        region_name, account_id, layer_n, _ = LambdaProvider._resolve_layer(layer_name, context)

        layer_version_arn = api_utils.layer_version_arn(
            layer_name, account_id, region_name, str(version_number)
        )

        store = lambda_stores[account_id][region_name]
        layer = store.layers.get(layer_n)

        if layer is None:
            raise ResourceNotFoundException(
                f"Layer version {layer_version_arn} does not exist.", Type="User"
            )

        layer_version = layer.layer_versions.get(str(version_number))
        if layer_version is None:
            raise ResourceNotFoundException(
                f"Layer version {layer_version_arn} does not exist.", Type="User"
            )

        if layer_version.policy is None:
            raise ResourceNotFoundException(
                "No policy is associated with the given resource.", Type="User"
            )

        return GetLayerVersionPolicyResponse(
            Policy=json.dumps(
                {
                    "Version": layer_version.policy.version,
                    "Id": layer_version.policy.id,
                    "Statement": [
                        {
                            "Sid": ps.sid,
                            "Effect": "Allow",
                            "Principal": ps.principal,
                            "Action": ps.action,
                            "Resource": layer_version.layer_version_arn,
                        }
                        for ps in layer_version.policy.statements.values()
                    ],
                }
            ),
            RevisionId=layer_version.policy.revision_id,
        )

    # =======================================
    # =======  Function Concurrency  ========
    # =======================================
    # (Reserved) function concurrency is scoped to the whole function

    def get_function_concurrency(
        self, context: RequestContext, function_name: FunctionName, **kwargs
    ) -> GetFunctionConcurrencyResponse:
        account_id, region = api_utils.get_account_and_region(function_name, context)
        function_name = api_utils.get_function_name(function_name, context)
        fn = self._get_function(function_name=function_name, region=region, account_id=account_id)
        return GetFunctionConcurrencyResponse(
            ReservedConcurrentExecutions=fn.reserved_concurrent_executions
        )

    def put_function_concurrency(
        self,
        context: RequestContext,
        function_name: FunctionName,
        reserved_concurrent_executions: ReservedConcurrentExecutions,
        **kwargs,
    ) -> Concurrency:
        account_id, region = api_utils.get_account_and_region(function_name, context)

        function_name, qualifier = api_utils.get_name_and_qualifier(function_name, None, context)
        if qualifier:
            raise InvalidParameterValueException(
                "This operation is permitted on Lambda functions only. Aliases and versions do not support this operation. Please specify either a function name or an unqualified function ARN.",
                Type="User",
            )

        store = lambda_stores[account_id][region]
        fn = store.functions.get(function_name)
        if not fn:
            fn_arn = api_utils.qualified_lambda_arn(
                function_name,
                qualifier="$LATEST",
                account=account_id,
                region=region,
            )
            raise ResourceNotFoundException(f"Function not found: {fn_arn}", Type="User")

        settings = self.get_account_settings(context)
        unreserved_concurrent_executions = settings["AccountLimit"][
            "UnreservedConcurrentExecutions"
        ]

        # The existing reserved concurrent executions for the same function are already deduced in
        # unreserved_concurrent_executions but must not count because the new one will replace the existing one.
        # Joel tested this behavior manually against AWS (2023-11-28).
        existing_reserved_concurrent_executions = (
            fn.reserved_concurrent_executions if fn.reserved_concurrent_executions else 0
        )
        if (
            unreserved_concurrent_executions
            - reserved_concurrent_executions
            + existing_reserved_concurrent_executions
        ) < config.LAMBDA_LIMITS_MINIMUM_UNRESERVED_CONCURRENCY:
            raise InvalidParameterValueException(
                f"Specified ReservedConcurrentExecutions for function decreases account's UnreservedConcurrentExecution below its minimum value of [{config.LAMBDA_LIMITS_MINIMUM_UNRESERVED_CONCURRENCY}]."
            )

        total_provisioned_concurrency = sum(
            [
                provisioned_configs.provisioned_concurrent_executions
                for provisioned_configs in fn.provisioned_concurrency_configs.values()
            ]
        )
        if total_provisioned_concurrency > reserved_concurrent_executions:
            raise InvalidParameterValueException(
                f" ReservedConcurrentExecutions  {reserved_concurrent_executions} should not be lower than function's total provisioned concurrency [{total_provisioned_concurrency}]."
            )

        fn.reserved_concurrent_executions = reserved_concurrent_executions

        return Concurrency(ReservedConcurrentExecutions=fn.reserved_concurrent_executions)

    def delete_function_concurrency(
        self, context: RequestContext, function_name: FunctionName, **kwargs
    ) -> None:
        account_id, region = api_utils.get_account_and_region(function_name, context)
        function_name, qualifier = api_utils.get_name_and_qualifier(function_name, None, context)
        store = lambda_stores[account_id][region]
        fn = store.functions.get(function_name)
        fn.reserved_concurrent_executions = None

    # =======================================
    # ===============  TAGS   ===============
    # =======================================
    # only Function, Event Source Mapping, and Code Signing Config (not currently supported by LocalStack) ARNs an are available for tagging in AWS

    def _get_tags(self, resource: TaggableResource) -> dict[str, str]:
        state = self.fetch_lambda_store_for_tagging(resource)
        lambda_adapted_tags = {
            tag["Key"]: tag["Value"]
            for tag in state.TAGS.list_tags_for_resource(resource).get("Tags")
        }
        return lambda_adapted_tags

    def _store_tags(self, resource: TaggableResource, tags: dict[str, str]):
        state = self.fetch_lambda_store_for_tagging(resource)
        if len(state.TAGS.tags.get(resource, {}) | tags) > LAMBDA_TAG_LIMIT_PER_RESOURCE:
            raise InvalidParameterValueException(
                "Number of tags exceeds resource tag limit.", Type="User"
            )

        tag_svc_adapted_tags = [{"Key": key, "Value": value} for key, value in tags.items()]
        state.TAGS.tag_resource(resource, tag_svc_adapted_tags)

    def fetch_lambda_store_for_tagging(self, resource: TaggableResource) -> LambdaStore:
        """
        Takes a resource ARN for a TaggableResource (Lambda Function, Event Source Mapping, or Code Signing Config) and returns a corresponding
        LambdaStore for its region and account.

        In addition, this function validates that the ARN is a valid TaggableResource type, and that the TaggableResource exists.

        Raises:
            ValidationException: If the resource ARN is not a full ARN for a TaggableResource.
            ResourceNotFoundException: If the specified resource does not exist.
            InvalidParameterValueException: If the resource ARN is a qualified Lambda Function.
        """

        def _raise_validation_exception():
            raise ValidationException(
                f"1 validation error detected: Value '{resource}' at 'resource' failed to satisfy constraint: Member must satisfy regular expression pattern: {api_utils.TAGGABLE_RESOURCE_ARN_PATTERN}"
            )

        # Check whether the ARN we have been passed is correctly formatted
        parsed_resource_arn: ArnData = None
        try:
            parsed_resource_arn = parse_arn(resource)
        except Exception:
            _raise_validation_exception()

        # TODO: Should we be checking whether this is a full ARN?
        region, account_id, resource_type = map(
            parsed_resource_arn.get, ("region", "account", "resource")
        )

        if not all((region, account_id, resource_type)):
            _raise_validation_exception()

        if not (parts := resource_type.split(":")):
            _raise_validation_exception()

        resource_type, resource_identifier, *qualifier = parts
        if resource_type not in {"event-source-mapping", "code-signing-config", "function"}:
            _raise_validation_exception()

        if qualifier:
            if resource_type == "function":
                raise InvalidParameterValueException(
                    "Tags on function aliases and versions are not supported. Please specify a function ARN.",
                    Type="User",
                )
            _raise_validation_exception()

        match resource_type:
            case "event-source-mapping":
                self._get_esm(resource_identifier, account_id, region)
            case "code-signing-config":
                raise NotImplementedError("Resource tagging on CSC not yet implemented.")
            case "function":
                self._get_function(
                    function_name=resource_identifier, account_id=account_id, region=region
                )

        # If no exceptions are raised, assume ARN and referenced resource is valid for tag operations
        return lambda_stores[account_id][region]

    def tag_resource(
        self, context: RequestContext, resource: TaggableResource, tags: Tags, **kwargs
    ) -> None:
        if not tags:
            raise InvalidParameterValueException(
                "An error occurred and the request cannot be processed.", Type="User"
            )
        self._store_tags(resource, tags)

        if (resource_id := extract_resource_from_arn(resource)) and resource_id.startswith(
            "function"
        ):
            name, _, account, region = function_locators_from_arn(resource)
            function = self._get_function(name, account, region)
            with function.lock:
                # dirty hack for changed revision id, should reevaluate model to prevent this:
                latest_version = function.versions["$LATEST"]
                function.versions["$LATEST"] = dataclasses.replace(
                    latest_version, config=dataclasses.replace(latest_version.config)
                )

    def list_tags(
        self, context: RequestContext, resource: TaggableResource, **kwargs
    ) -> ListTagsResponse:
        tags = self._get_tags(resource)
        return ListTagsResponse(Tags=tags)

    def untag_resource(
        self, context: RequestContext, resource: TaggableResource, tag_keys: TagKeyList, **kwargs
    ) -> None:
        if not tag_keys:
            raise ValidationException(
                "1 validation error detected: Value null at 'tagKeys' failed to satisfy constraint: Member must not be null"
            )  # should probably be generalized a bit

        state = self.fetch_lambda_store_for_tagging(resource)
        state.TAGS.untag_resource(resource, tag_keys)

        if (resource_id := extract_resource_from_arn(resource)) and resource_id.startswith(
            "function"
        ):
            name, _, account, region = function_locators_from_arn(resource)
            function = self._get_function(name, account, region)
            # TODO: Potential race condition
            with function.lock:
                # dirty hack for changed revision id, should reevaluate model to prevent this:
                latest_version = function.versions["$LATEST"]
                function.versions["$LATEST"] = dataclasses.replace(
                    latest_version, config=dataclasses.replace(latest_version.config)
                )

    # =======================================
    # =======  LEGACY / DEPRECATED   ========
    # =======================================

    def invoke_async(
        self,
        context: RequestContext,
        function_name: NamespacedFunctionName,
        invoke_args: IO[BlobStream],
        **kwargs,
    ) -> InvokeAsyncResponse:
        """LEGACY API endpoint. Even AWS heavily discourages its usage."""
        raise NotImplementedError

localstack / localstack / 48f393e1-29b1-4c63-9492-bea03b969f84

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