74eac421-9806-47ba-8f8c-92653ce53828

Committed 15 Apr 2025 06:51PM UTC coverage: 86.472% (+0.07%) from 86.407%

Build # 74eac421-9806-47ba-8f8c-92653ce53828

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CloudFormation Engine v2: Base Mappings and Conditions tests for Update Graph and PreProc (#12527)

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92.28

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

import copy
import datetime
import json
import logging
import re
import time
from typing import Final, Optional

from localstack.aws.api import CommonServiceException, RequestContext
from localstack.aws.api.stepfunctions import (
    ActivityDoesNotExist,
    AliasDescription,
    Arn,
    CharacterRestrictedName,
    ConflictException,
    CreateActivityOutput,
    CreateStateMachineAliasOutput,
    CreateStateMachineInput,
    CreateStateMachineOutput,
    Definition,
    DeleteActivityOutput,
    DeleteStateMachineAliasOutput,
    DeleteStateMachineOutput,
    DeleteStateMachineVersionOutput,
    DescribeActivityOutput,
    DescribeExecutionOutput,
    DescribeMapRunOutput,
    DescribeStateMachineAliasOutput,
    DescribeStateMachineForExecutionOutput,
    DescribeStateMachineOutput,
    EncryptionConfiguration,
    ExecutionDoesNotExist,
    ExecutionList,
    ExecutionRedriveFilter,
    ExecutionStatus,
    GetActivityTaskOutput,
    GetExecutionHistoryOutput,
    IncludedData,
    IncludeExecutionDataGetExecutionHistory,
    InspectionLevel,
    InvalidArn,
    InvalidDefinition,
    InvalidExecutionInput,
    InvalidLoggingConfiguration,
    InvalidName,
    InvalidToken,
    ListActivitiesOutput,
    ListExecutionsOutput,
    ListExecutionsPageToken,
    ListMapRunsOutput,
    ListStateMachineAliasesOutput,
    ListStateMachinesOutput,
    ListStateMachineVersionsOutput,
    ListTagsForResourceOutput,
    LoggingConfiguration,
    LogLevel,
    LongArn,
    MaxConcurrency,
    MissingRequiredParameter,
    Name,
    PageSize,
    PageToken,
    Publish,
    PublishStateMachineVersionOutput,
    ResourceNotFound,
    RevealSecrets,
    ReverseOrder,
    RevisionId,
    RoutingConfigurationList,
    SendTaskFailureOutput,
    SendTaskHeartbeatOutput,
    SendTaskSuccessOutput,
    SensitiveCause,
    SensitiveData,
    SensitiveError,
    StartExecutionOutput,
    StartSyncExecutionOutput,
    StateMachineAliasList,
    StateMachineAlreadyExists,
    StateMachineDoesNotExist,
    StateMachineList,
    StateMachineType,
    StateMachineTypeNotSupported,
    StepfunctionsApi,
    StopExecutionOutput,
    TagKeyList,
    TagList,
    TagResourceOutput,
    TaskDoesNotExist,
    TaskTimedOut,
    TaskToken,
    TestStateOutput,
    ToleratedFailureCount,
    ToleratedFailurePercentage,
    TraceHeader,
    TracingConfiguration,
    UntagResourceOutput,
    UpdateMapRunOutput,
    UpdateStateMachineAliasOutput,
    UpdateStateMachineOutput,
    ValidateStateMachineDefinitionDiagnostic,
    ValidateStateMachineDefinitionDiagnosticList,
    ValidateStateMachineDefinitionInput,
    ValidateStateMachineDefinitionOutput,
    ValidateStateMachineDefinitionResultCode,
    ValidateStateMachineDefinitionSeverity,
    ValidationException,
    VersionDescription,
)
from localstack.services.plugins import ServiceLifecycleHook
from localstack.services.stepfunctions.asl.component.state.state_execution.state_map.iteration.itemprocessor.map_run_record import (
    MapRunRecord,
)
from localstack.services.stepfunctions.asl.eval.callback.callback import (
    ActivityCallbackEndpoint,
    CallbackConsumerTimeout,
    CallbackNotifyConsumerError,
    CallbackOutcomeFailure,
    CallbackOutcomeSuccess,
)
from localstack.services.stepfunctions.asl.eval.event.logging import (
    CloudWatchLoggingConfiguration,
    CloudWatchLoggingSession,
)
from localstack.services.stepfunctions.asl.parse.asl_parser import (
    ASLParserException,
)
from localstack.services.stepfunctions.asl.static_analyser.express_static_analyser import (
    ExpressStaticAnalyser,
)
from localstack.services.stepfunctions.asl.static_analyser.static_analyser import (
    StaticAnalyser,
)
from localstack.services.stepfunctions.asl.static_analyser.test_state.test_state_analyser import (
    TestStateStaticAnalyser,
)
from localstack.services.stepfunctions.asl.static_analyser.usage_metrics_static_analyser import (
    UsageMetricsStaticAnalyser,
)
from localstack.services.stepfunctions.backend.activity import Activity, ActivityTask
from localstack.services.stepfunctions.backend.alias import Alias
from localstack.services.stepfunctions.backend.execution import Execution, SyncExecution
from localstack.services.stepfunctions.backend.state_machine import (
    StateMachineInstance,
    StateMachineRevision,
    StateMachineVersion,
    TestStateMachine,
)
from localstack.services.stepfunctions.backend.store import SFNStore, sfn_stores
from localstack.services.stepfunctions.backend.test_state.execution import (
    TestStateExecution,
)
from localstack.services.stepfunctions.stepfunctions_utils import (
    assert_pagination_parameters_valid,
    get_next_page_token_from_arn,
    normalise_max_results,
)
from localstack.state import StateVisitor
from localstack.utils.aws.arns import (
    ARN_PARTITION_REGEX,
    stepfunctions_activity_arn,
    stepfunctions_express_execution_arn,
    stepfunctions_standard_execution_arn,
    stepfunctions_state_machine_arn,
)
from localstack.utils.collections import PaginatedList
from localstack.utils.strings import long_uid, short_uid

LOG = logging.getLogger(__name__)


class StepFunctionsProvider(StepfunctionsApi, ServiceLifecycleHook):
    _TEST_STATE_MAX_TIMEOUT_SECONDS: Final[int] = 300  # 5 minutes.

    @staticmethod
    def get_store(context: RequestContext) -> SFNStore:
        return sfn_stores[context.account_id][context.region]

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

    _STATE_MACHINE_ARN_REGEX: Final[re.Pattern] = re.compile(
        rf"{ARN_PARTITION_REGEX}:states:[a-z0-9-]+:[0-9]{{12}}:stateMachine:[a-zA-Z0-9-_.]+(:\d+)?(:[a-zA-Z0-9-_.]+)*$"
    )

    _STATE_MACHINE_EXECUTION_ARN_REGEX: Final[re.Pattern] = re.compile(
        rf"{ARN_PARTITION_REGEX}:states:[a-z0-9-]+:[0-9]{{12}}:(stateMachine|execution|express):[a-zA-Z0-9-_.]+(:\d+)?(:[a-zA-Z0-9-_.]+)*$"
    )

    _ACTIVITY_ARN_REGEX: Final[re.Pattern] = re.compile(
        rf"{ARN_PARTITION_REGEX}:states:[a-z0-9-]+:[0-9]{{12}}:activity:[a-zA-Z0-9-_\.]{{1,80}}$"
    )

    _ALIAS_ARN_REGEX: Final[re.Pattern] = re.compile(
        rf"{ARN_PARTITION_REGEX}:states:[a-z0-9-]+:[0-9]{{12}}:stateMachine:[A-Za-z0-9_.-]+:[A-Za-z_.-]+[A-Za-z0-9_.-]{{0,80}}$"
    )

    _ALIAS_NAME_REGEX: Final[re.Pattern] = re.compile(r"^(?=.*[a-zA-Z_\-\.])[a-zA-Z0-9_\-\.]+$")

    @staticmethod
    def _validate_state_machine_arn(state_machine_arn: str) -> None:
        # TODO: InvalidArn exception message do not communicate which part of the ARN is incorrect.
        if not StepFunctionsProvider._STATE_MACHINE_ARN_REGEX.match(state_machine_arn):
            raise InvalidArn(f"Invalid arn: '{state_machine_arn}'")

    @staticmethod
    def _raise_state_machine_does_not_exist(state_machine_arn: str) -> None:
        raise StateMachineDoesNotExist(f"State Machine Does Not Exist: '{state_machine_arn}'")

    @staticmethod
    def _validate_state_machine_execution_arn(execution_arn: str) -> None:
        # TODO: InvalidArn exception message do not communicate which part of the ARN is incorrect.
        if not StepFunctionsProvider._STATE_MACHINE_EXECUTION_ARN_REGEX.match(execution_arn):
            raise InvalidArn(f"Invalid arn: '{execution_arn}'")

    @staticmethod
    def _validate_activity_arn(activity_arn: str) -> None:
        # TODO: InvalidArn exception message do not communicate which part of the ARN is incorrect.
        if not StepFunctionsProvider._ACTIVITY_ARN_REGEX.match(activity_arn):
            raise InvalidArn(f"Invalid arn: '{activity_arn}'")

    @staticmethod
    def _validate_state_machine_alias_arn(state_machine_alias_arn: Arn) -> None:
        if not StepFunctionsProvider._ALIAS_ARN_REGEX.match(state_machine_alias_arn):
            raise InvalidArn(f"Invalid arn: '{state_machine_alias_arn}'")

    def _raise_state_machine_type_not_supported(self):
        raise StateMachineTypeNotSupported(
            "This operation is not supported by this type of state machine"
        )

    @staticmethod
    def _raise_resource_type_not_in_context(resource_type: str) -> None:
        lower_resource_type = resource_type.lower()
        raise InvalidArn(
            f"Invalid Arn: 'Resource type not valid in this context: {lower_resource_type}'"
        )

    @staticmethod
    def _validate_activity_name(name: str) -> None:
        # The activity name is validated according to the AWS StepFunctions documentation, the name should not contain:
        # - white space
        # - brackets < > { } [ ]
        # - wildcard characters ? *
        # - special characters " # % \ ^ | ~ ` $ & , ; : /
        # - control characters (U+0000-001F, U+007F-009F)
        # https://docs.aws.amazon.com/step-functions/latest/apireference/API_CreateActivity.html#API_CreateActivity_RequestSyntax
        if not (1 <= len(name) <= 80):
            raise InvalidName(f"Invalid Name: '{name}'")
        invalid_chars = set(' <>{}[]?*"#%\\^|~`$&,;:/')
        control_chars = {chr(i) for i in range(32)} | {chr(i) for i in range(127, 160)}
        invalid_chars |= control_chars
        for char in name:
            if char in invalid_chars:
                raise InvalidName(f"Invalid Name: '{name}'")

    @staticmethod
    def _validate_state_machine_alias_name(name: CharacterRestrictedName) -> None:
        len_name = len(name)
        if len_name > 80:
            raise ValidationException(
                f"1 validation error detected: Value '{name}' at 'name' failed to satisfy constraint: "
                f"Member must have length less than or equal to 80"
            )
        if not StepFunctionsProvider._ALIAS_NAME_REGEX.match(name):
            raise ValidationException(
                # TODO: explore more error cases in which more than one validation error may occur which results
                #  in the counter below being greater than 1.
                f"1 validation error detected: Value '{name}' at 'name' failed to satisfy constraint: "
                f"Member must satisfy regular expression pattern: ^(?=.*[a-zA-Z_\\-\\.])[a-zA-Z0-9_\\-\\.]+$"
            )

    def _get_execution(self, context: RequestContext, execution_arn: Arn) -> Execution:
        execution: Optional[Execution] = self.get_store(context).executions.get(execution_arn)
        if not execution:
            raise ExecutionDoesNotExist(f"Execution Does Not Exist: '{execution_arn}'")
        return execution

    def _get_executions(
        self,
        context: RequestContext,
        execution_status: Optional[ExecutionStatus] = None,
    ):
        store = self.get_store(context)
        execution: list[Execution] = list(store.executions.values())
        if execution_status:
            execution = list(
                filter(
                    lambda e: e.exec_status == execution_status,
                    store.executions.values(),
                )
            )
        return execution

    def _get_activity(self, context: RequestContext, activity_arn: Arn) -> Activity:
        maybe_activity: Optional[Activity] = self.get_store(context).activities.get(
            activity_arn, None
        )
        if maybe_activity is None:
            raise ActivityDoesNotExist(f"Activity Does Not Exist: '{activity_arn}'")
        return maybe_activity

    def _idempotent_revision(
        self,
        context: RequestContext,
        name: str,
        definition: Definition,
        state_machine_type: StateMachineType,
        logging_configuration: LoggingConfiguration,
        tracing_configuration: TracingConfiguration,
    ) -> Optional[StateMachineRevision]:
        # CreateStateMachine's idempotency check is based on the state machine name, definition, type,
        # LoggingConfiguration and TracingConfiguration.
        # If a following request has a different roleArn or tags, Step Functions will ignore these differences and
        # treat it as an idempotent request of the previous. In this case, roleArn and tags will not be updated, even
        # if they are different.
        state_machines: list[StateMachineInstance] = list(
            self.get_store(context).state_machines.values()
        )
        revisions = filter(lambda sm: isinstance(sm, StateMachineRevision), state_machines)
        for state_machine in revisions:
            check = all(
                [
                    state_machine.name == name,
                    state_machine.definition == definition,
                    state_machine.sm_type == state_machine_type,
                    state_machine.logging_config == logging_configuration,
                    state_machine.tracing_config == tracing_configuration,
                ]
            )
            if check:
                return state_machine
        return None

    def _idempotent_start_execution(
        self,
        execution: Optional[Execution],
        state_machine: StateMachineInstance,
        name: Name,
        input_data: SensitiveData,
    ) -> Optional[Execution]:
        # StartExecution is idempotent for STANDARD workflows. For a STANDARD workflow,
        # if you call StartExecution with the same name and input as a running execution,
        # the call succeeds and return the same response as the original request.
        # If the execution is closed or if the input is different,
        # it returns a 400 ExecutionAlreadyExists error. You can reuse names after 90 days.

        if not execution:
            return None

        match (name, input_data, execution.exec_status, state_machine.sm_type):
            case (
                execution.name,
                execution.input_data,
                ExecutionStatus.RUNNING,
                StateMachineType.STANDARD,
            ):
                return execution

        raise CommonServiceException(
            code="ExecutionAlreadyExists",
            message=f"Execution Already Exists: '{execution.exec_arn}'",
        )

    def _revision_by_name(
        self, context: RequestContext, name: str
    ) -> Optional[StateMachineInstance]:
        state_machines: list[StateMachineInstance] = list(
            self.get_store(context).state_machines.values()
        )
        for state_machine in state_machines:
            if isinstance(state_machine, StateMachineRevision) and state_machine.name == name:
                return state_machine
        return None

    @staticmethod
    def _validate_definition(definition: str, static_analysers: list[StaticAnalyser]) -> None:
        try:
            for static_analyser in static_analysers:
                static_analyser.analyse(definition)
        except ASLParserException as asl_parser_exception:
            invalid_definition = InvalidDefinition()
            invalid_definition.message = repr(asl_parser_exception)
            raise invalid_definition
        except Exception as exception:
            exception_name = exception.__class__.__name__
            exception_args = list(exception.args)
            invalid_definition = InvalidDefinition()
            invalid_definition.message = (
                f"Error={exception_name} Args={exception_args} in definition '{definition}'."
            )
            raise invalid_definition

    @staticmethod
    def _sanitise_logging_configuration(
        logging_configuration: LoggingConfiguration,
    ) -> None:
        level = logging_configuration.get("level")
        destinations = logging_configuration.get("destinations")

        if destinations is not None and len(destinations) > 1:
            raise InvalidLoggingConfiguration(
                "Invalid Logging Configuration: Must specify exactly one Log Destination."
            )

        # A LogLevel that is not OFF, should have a destination.
        if level is not None and level != LogLevel.OFF and not destinations:
            raise InvalidLoggingConfiguration(
                "Invalid Logging Configuration: Must specify exactly one Log Destination."
            )

        # Default for level is OFF.
        level = level or LogLevel.OFF

        # Default for includeExecutionData is False.
        include_flag = logging_configuration.get("includeExecutionData", False)

        # Update configuration object.
        logging_configuration["level"] = level
        logging_configuration["includeExecutionData"] = include_flag

    def create_state_machine(
        self, context: RequestContext, request: CreateStateMachineInput, **kwargs
    ) -> CreateStateMachineOutput:
        if not request.get("publish", False) and request.get("versionDescription"):
            raise ValidationException("Version description can only be set when publish is true")

        # Extract parameters and set defaults.
        state_machine_name = request["name"]
        state_machine_role_arn = request["roleArn"]
        state_machine_definition = request["definition"]
        state_machine_type = request.get("type") or StateMachineType.STANDARD
        state_machine_tracing_configuration = request.get("tracingConfiguration")
        state_machine_tags = request.get("tags")
        state_machine_logging_configuration = request.get(
            "loggingConfiguration", LoggingConfiguration()
        )
        self._sanitise_logging_configuration(
            logging_configuration=state_machine_logging_configuration
        )

        # CreateStateMachine is an idempotent API. Subsequent requests won’t create a duplicate resource if it was
        # already created.
        idem_state_machine: Optional[StateMachineRevision] = self._idempotent_revision(
            context=context,
            name=state_machine_name,
            definition=state_machine_definition,
            state_machine_type=state_machine_type,
            logging_configuration=state_machine_logging_configuration,
            tracing_configuration=state_machine_tracing_configuration,
        )
        if idem_state_machine is not None:
            return CreateStateMachineOutput(
                stateMachineArn=idem_state_machine.arn,
                creationDate=idem_state_machine.create_date,
            )

        # Assert this state machine name is unique.
        state_machine_with_name: Optional[StateMachineRevision] = self._revision_by_name(
            context=context, name=state_machine_name
        )
        if state_machine_with_name is not None:
            raise StateMachineAlreadyExists(
                f"State Machine Already Exists: '{state_machine_with_name.arn}'"
            )

        # Compute the state machine's Arn.
        state_machine_arn = stepfunctions_state_machine_arn(
            name=state_machine_name,
            account_id=context.account_id,
            region_name=context.region,
        )
        state_machines = self.get_store(context).state_machines

        # Reduce the logging configuration to a usable cloud watch representation, and validate the destinations
        # if any were given.
        cloud_watch_logging_configuration = (
            CloudWatchLoggingConfiguration.from_logging_configuration(
                state_machine_arn=state_machine_arn,
                logging_configuration=state_machine_logging_configuration,
            )
        )
        if cloud_watch_logging_configuration is not None:
            cloud_watch_logging_configuration.validate()

        # Run static analysers on the definition given.
        if state_machine_type == StateMachineType.EXPRESS:
            StepFunctionsProvider._validate_definition(
                definition=state_machine_definition,
                static_analysers=[ExpressStaticAnalyser()],
            )
        else:
            StepFunctionsProvider._validate_definition(
                definition=state_machine_definition, static_analysers=[StaticAnalyser()]
            )

        # Create the state machine and add it to the store.
        state_machine = StateMachineRevision(
            name=state_machine_name,
            arn=state_machine_arn,
            role_arn=state_machine_role_arn,
            definition=state_machine_definition,
            sm_type=state_machine_type,
            logging_config=state_machine_logging_configuration,
            cloud_watch_logging_configuration=cloud_watch_logging_configuration,
            tracing_config=state_machine_tracing_configuration,
            tags=state_machine_tags,
        )
        state_machines[state_machine_arn] = state_machine

        create_output = CreateStateMachineOutput(
            stateMachineArn=state_machine.arn, creationDate=state_machine.create_date
        )

        # Create the first version if the 'publish' flag is used.
        if request.get("publish", False):
            version_description = request.get("versionDescription")
            state_machine_version = state_machine.create_version(description=version_description)
            if state_machine_version is not None:
                state_machine_version_arn = state_machine_version.arn
                state_machines[state_machine_version_arn] = state_machine_version
                create_output["stateMachineVersionArn"] = state_machine_version_arn

        # Run static analyser on definition and collect usage metrics
        UsageMetricsStaticAnalyser.process(state_machine_definition)

        return create_output

    def _validate_state_machine_alias_routing_configuration(
        self, context: RequestContext, routing_configuration_list: RoutingConfigurationList
    ) -> None:
        # TODO: to match AWS's approach best validation exceptions could be
        #  built in a process decoupled from the provider.

        routing_configuration_list_len = len(routing_configuration_list)
        if not (1 <= routing_configuration_list_len <= 2):
            # Replicate the object string dump format:
            # [RoutingConfigurationListItem(stateMachineVersionArn=arn_no_quotes, weight=int), ...]
            routing_configuration_serialization_parts = []
            for routing_configuration in routing_configuration_list:
                routing_configuration_serialization_parts.append(
                    "".join(
                        [
                            "RoutingConfigurationListItem(stateMachineVersionArn=",
                            routing_configuration["stateMachineVersionArn"],
                            ", weight=",
                            str(routing_configuration["weight"]),
                            ")",
                        ]
                    )
                )
            routing_configuration_serialization_list = (
                f"[{', '.join(routing_configuration_serialization_parts)}]"
            )
            raise ValidationException(
                f"1 validation error detected: Value '{routing_configuration_serialization_list}' "
                "at 'routingConfiguration' failed to "
                "satisfy constraint: Member must have length less than or equal to 2"
            )

        routing_configuration_arn_list = [
            routing_configuration["stateMachineVersionArn"]
            for routing_configuration in routing_configuration_list
        ]
        if len(set(routing_configuration_arn_list)) < routing_configuration_list_len:
            arn_list_string = f"[{', '.join(routing_configuration_arn_list)}]"
            raise ValidationException(
                "Routing configuration must contain distinct state machine version ARNs. "
                f"Received: {arn_list_string}"
            )

        routing_weights = [
            routing_configuration["weight"] for routing_configuration in routing_configuration_list
        ]
        for i, weight in enumerate(routing_weights):
            # TODO: check for weight type.
            if weight < 0:
                raise ValidationException(
                    f"Invalid value for parameter routingConfiguration[{i + 1}].weight, value: {weight}, valid min value: 0"
                )
            if weight > 100:
                raise ValidationException(
                    f"1 validation error detected: Value '{weight}' at 'routingConfiguration.{i + 1}.member.weight' "
                    "failed to satisfy constraint: Member must have value less than or equal to 100"
                )
        routing_weights_sum = sum(routing_weights)
        if not routing_weights_sum == 100:
            raise ValidationException(
                f"Sum of routing configuration weights must equal 100. Received: {json.dumps(routing_weights)}"
            )

        store = self.get_store(context=context)
        state_machines = store.state_machines

        first_routing_qualified_arn = routing_configuration_arn_list[0]
        shared_state_machine_revision_arn = self._get_state_machine_arn_from_qualified_arn(
            qualified_arn=first_routing_qualified_arn
        )
        for routing_configuration_arn in routing_configuration_arn_list:
            maybe_state_machine_version = state_machines.get(routing_configuration_arn)
            if not isinstance(maybe_state_machine_version, StateMachineVersion):
                arn_list_string = f"[{', '.join(routing_configuration_arn_list)}]"
                raise ValidationException(
                    f"Routing configuration must contain state machine version ARNs. Received: {arn_list_string}"
                )
            state_machine_revision_arn = self._get_state_machine_arn_from_qualified_arn(
                qualified_arn=routing_configuration_arn
            )
            if state_machine_revision_arn != shared_state_machine_revision_arn:
                raise ValidationException("TODO")

    @staticmethod
    def _get_state_machine_arn_from_qualified_arn(qualified_arn: Arn) -> Arn:
        last_colon_index = qualified_arn.rfind(":")
        base_arn = qualified_arn[:last_colon_index]
        return base_arn

    def create_state_machine_alias(
        self,
        context: RequestContext,
        name: CharacterRestrictedName,
        routing_configuration: RoutingConfigurationList,
        description: AliasDescription = None,
        **kwargs,
    ) -> CreateStateMachineAliasOutput:
        # Validate the inputs.
        self._validate_state_machine_alias_name(name=name)
        self._validate_state_machine_alias_routing_configuration(
            context=context, routing_configuration_list=routing_configuration
        )

        # Determine the state machine arn this alias maps to,
        # do so unsafely as validation already took place before initialisation.
        first_routing_qualified_arn = routing_configuration[0]["stateMachineVersionArn"]
        state_machine_revision_arn = self._get_state_machine_arn_from_qualified_arn(
            qualified_arn=first_routing_qualified_arn
        )
        alias = Alias(
            state_machine_arn=state_machine_revision_arn,
            name=name,
            description=description,
            routing_configuration_list=routing_configuration,
        )
        state_machine_alias_arn = alias.state_machine_alias_arn

        store = self.get_store(context=context)

        aliases = store.aliases
        if maybe_idempotent_alias := aliases.get(state_machine_alias_arn):
            if alias.is_idempotent(maybe_idempotent_alias):
                return CreateStateMachineAliasOutput(
                    stateMachineAliasArn=state_machine_alias_arn, creationDate=alias.create_date
                )
            else:
                # CreateStateMachineAlias is an idempotent API. Idempotent requests won’t create duplicate resources.
                raise ConflictException(
                    "Failed to create alias because an alias with the same name and a "
                    "different routing configuration already exists."
                )
        aliases[state_machine_alias_arn] = alias

        state_machine_revision = store.state_machines.get(state_machine_revision_arn)
        if not isinstance(state_machine_revision, StateMachineRevision):
            # The state machine was deleted but not the version referenced in this context.
            raise RuntimeError(f"No state machine revision for arn '{state_machine_revision_arn}'")
        state_machine_revision.aliases.add(alias)

        return CreateStateMachineAliasOutput(
            stateMachineAliasArn=state_machine_alias_arn, creationDate=alias.create_date
        )

    def describe_state_machine(
        self,
        context: RequestContext,
        state_machine_arn: Arn,
        included_data: IncludedData = None,
        **kwargs,
    ) -> DescribeStateMachineOutput:
        self._validate_state_machine_arn(state_machine_arn)
        state_machine = self.get_store(context).state_machines.get(state_machine_arn)
        if state_machine is None:
            self._raise_state_machine_does_not_exist(state_machine_arn)
        return state_machine.describe()

    def describe_state_machine_alias(
        self, context: RequestContext, state_machine_alias_arn: Arn, **kwargs
    ) -> DescribeStateMachineAliasOutput:
        self._validate_state_machine_alias_arn(state_machine_alias_arn=state_machine_alias_arn)
        alias: Optional[Alias] = self.get_store(context=context).aliases.get(
            state_machine_alias_arn
        )
        if alias is None:
            # TODO: assemble the correct exception
            raise ValidationException()
        description = alias.to_description()
        return description

    def describe_state_machine_for_execution(
        self,
        context: RequestContext,
        execution_arn: Arn,
        included_data: IncludedData = None,
        **kwargs,
    ) -> DescribeStateMachineForExecutionOutput:
        self._validate_state_machine_execution_arn(execution_arn)
        execution: Execution = self._get_execution(context=context, execution_arn=execution_arn)
        return execution.to_describe_state_machine_for_execution_output()

    def send_task_heartbeat(
        self, context: RequestContext, task_token: TaskToken, **kwargs
    ) -> SendTaskHeartbeatOutput:
        running_executions: list[Execution] = self._get_executions(context, ExecutionStatus.RUNNING)
        for execution in running_executions:
            try:
                if execution.exec_worker.env.callback_pool_manager.heartbeat(
                    callback_id=task_token
                ):
                    return SendTaskHeartbeatOutput()
            except CallbackNotifyConsumerError as consumer_error:
                if isinstance(consumer_error, CallbackConsumerTimeout):
                    raise TaskTimedOut()
                else:
                    raise TaskDoesNotExist()
        raise InvalidToken()

    def send_task_success(
        self,
        context: RequestContext,
        task_token: TaskToken,
        output: SensitiveData,
        **kwargs,
    ) -> SendTaskSuccessOutput:
        outcome = CallbackOutcomeSuccess(callback_id=task_token, output=output)
        running_executions: list[Execution] = self._get_executions(context, ExecutionStatus.RUNNING)
        for execution in running_executions:
            try:
                if execution.exec_worker.env.callback_pool_manager.notify(
                    callback_id=task_token, outcome=outcome
                ):
                    return SendTaskSuccessOutput()
            except CallbackNotifyConsumerError as consumer_error:
                if isinstance(consumer_error, CallbackConsumerTimeout):
                    raise TaskTimedOut()
                else:
                    raise TaskDoesNotExist()
        raise InvalidToken("Invalid token")

    def send_task_failure(
        self,
        context: RequestContext,
        task_token: TaskToken,
        error: SensitiveError = None,
        cause: SensitiveCause = None,
        **kwargs,
    ) -> SendTaskFailureOutput:
        outcome = CallbackOutcomeFailure(callback_id=task_token, error=error, cause=cause)
        store = self.get_store(context)
        for execution in store.executions.values():
            try:
                if execution.exec_worker.env.callback_pool_manager.notify(
                    callback_id=task_token, outcome=outcome
                ):
                    return SendTaskFailureOutput()
            except CallbackNotifyConsumerError as consumer_error:
                if isinstance(consumer_error, CallbackConsumerTimeout):
                    raise TaskTimedOut()
                else:
                    raise TaskDoesNotExist()
        raise InvalidToken("Invalid token")

    def start_execution(
        self,
        context: RequestContext,
        state_machine_arn: Arn,
        name: Name = None,
        input: SensitiveData = None,
        trace_header: TraceHeader = None,
        **kwargs,
    ) -> StartExecutionOutput:
        self._validate_state_machine_arn(state_machine_arn)

        store = self.get_store(context=context)

        alias: Optional[Alias] = store.aliases.get(state_machine_arn)
        alias_sample_state_machine_version_arn = alias.sample() if alias is not None else None
        unsafe_state_machine: Optional[StateMachineInstance] = store.state_machines.get(
            alias_sample_state_machine_version_arn or state_machine_arn
        )
        if not unsafe_state_machine:
            self._raise_state_machine_does_not_exist(state_machine_arn)

        # Update event change parameters about the state machine and should not affect those about this execution.
        state_machine_clone = copy.deepcopy(unsafe_state_machine)

        if input is None:
            input_data = dict()
        else:
            try:
                input_data = json.loads(input)
            except Exception as ex:
                raise InvalidExecutionInput(str(ex))  # TODO: report parsing error like AWS.

        normalised_state_machine_arn = (
            state_machine_clone.source_arn
            if isinstance(state_machine_clone, StateMachineVersion)
            else state_machine_clone.arn
        )
        exec_name = name or long_uid()  # TODO: validate name format
        if state_machine_clone.sm_type == StateMachineType.STANDARD:
            exec_arn = stepfunctions_standard_execution_arn(normalised_state_machine_arn, exec_name)
        else:
            # Exhaustive check on STANDARD and EXPRESS type, validated on creation.
            exec_arn = stepfunctions_express_execution_arn(normalised_state_machine_arn, exec_name)

        if execution := store.executions.get(exec_arn):
            # Return already running execution if name and input match
            existing_execution = self._idempotent_start_execution(
                execution=execution,
                state_machine=state_machine_clone,
                name=name,
                input_data=input_data,
            )

            if existing_execution:
                return existing_execution.to_start_output()

        # Create the execution logging session, if logging is configured.
        cloud_watch_logging_session = None
        if state_machine_clone.cloud_watch_logging_configuration is not None:
            cloud_watch_logging_session = CloudWatchLoggingSession(
                execution_arn=exec_arn,
                configuration=state_machine_clone.cloud_watch_logging_configuration,
            )

        execution = Execution(
            name=exec_name,
            sm_type=state_machine_clone.sm_type,
            role_arn=state_machine_clone.role_arn,
            exec_arn=exec_arn,
            account_id=context.account_id,
            region_name=context.region,
            state_machine=state_machine_clone,
            state_machine_alias_arn=alias.state_machine_alias_arn if alias is not None else None,
            start_date=datetime.datetime.now(tz=datetime.timezone.utc),
            cloud_watch_logging_session=cloud_watch_logging_session,
            input_data=input_data,
            trace_header=trace_header,
            activity_store=self.get_store(context).activities,
        )

        store.executions[exec_arn] = execution

        execution.start()
        return execution.to_start_output()

    def start_sync_execution(
        self,
        context: RequestContext,
        state_machine_arn: Arn,
        name: Name = None,
        input: SensitiveData = None,
        trace_header: TraceHeader = None,
        included_data: IncludedData = None,
        **kwargs,
    ) -> StartSyncExecutionOutput:
        self._validate_state_machine_arn(state_machine_arn)
        unsafe_state_machine: Optional[StateMachineInstance] = self.get_store(
            context
        ).state_machines.get(state_machine_arn)
        if not unsafe_state_machine:
            self._raise_state_machine_does_not_exist(state_machine_arn)

        if unsafe_state_machine.sm_type == StateMachineType.STANDARD:
            self._raise_state_machine_type_not_supported()

        # Update event change parameters about the state machine and should not affect those about this execution.
        state_machine_clone = copy.deepcopy(unsafe_state_machine)

        if input is None:
            input_data = dict()
        else:
            try:
                input_data = json.loads(input)
            except Exception as ex:
                raise InvalidExecutionInput(str(ex))  # TODO: report parsing error like AWS.

        normalised_state_machine_arn = (
            state_machine_clone.source_arn
            if isinstance(state_machine_clone, StateMachineVersion)
            else state_machine_clone.arn
        )
        exec_name = name or long_uid()  # TODO: validate name format
        exec_arn = stepfunctions_express_execution_arn(normalised_state_machine_arn, exec_name)

        if exec_arn in self.get_store(context).executions:
            raise InvalidName()  # TODO

        # Create the execution logging session, if logging is configured.
        cloud_watch_logging_session = None
        if state_machine_clone.cloud_watch_logging_configuration is not None:
            cloud_watch_logging_session = CloudWatchLoggingSession(
                execution_arn=exec_arn,
                configuration=state_machine_clone.cloud_watch_logging_configuration,
            )

        execution = SyncExecution(
            name=exec_name,
            sm_type=state_machine_clone.sm_type,
            role_arn=state_machine_clone.role_arn,
            exec_arn=exec_arn,
            account_id=context.account_id,
            region_name=context.region,
            state_machine=state_machine_clone,
            start_date=datetime.datetime.now(tz=datetime.timezone.utc),
            cloud_watch_logging_session=cloud_watch_logging_session,
            input_data=input_data,
            trace_header=trace_header,
            activity_store=self.get_store(context).activities,
        )
        self.get_store(context).executions[exec_arn] = execution

        execution.start()
        return execution.to_start_sync_execution_output()

    def describe_execution(
        self,
        context: RequestContext,
        execution_arn: Arn,
        included_data: IncludedData = None,
        **kwargs,
    ) -> DescribeExecutionOutput:
        self._validate_state_machine_execution_arn(execution_arn)
        execution: Execution = self._get_execution(context=context, execution_arn=execution_arn)

        # Action only compatible with STANDARD workflows.
        if execution.sm_type != StateMachineType.STANDARD:
            self._raise_resource_type_not_in_context(resource_type=execution.sm_type)

        return execution.to_describe_output()

    @staticmethod
    def _list_execution_filter(
        ex: Execution, state_machine_arn: str, status_filter: Optional[str]
    ) -> bool:
        state_machine_reference_arn_set = {ex.state_machine_arn, ex.state_machine_version_arn}
        if state_machine_arn not in state_machine_reference_arn_set:
            return False

        if not status_filter:
            return True
        return ex.exec_status == status_filter

    def list_executions(
        self,
        context: RequestContext,
        state_machine_arn: Arn = None,
        status_filter: ExecutionStatus = None,
        max_results: PageSize = None,
        next_token: ListExecutionsPageToken = None,
        map_run_arn: LongArn = None,
        redrive_filter: ExecutionRedriveFilter = None,
        **kwargs,
    ) -> ListExecutionsOutput:
        self._validate_state_machine_arn(state_machine_arn)
        assert_pagination_parameters_valid(
            max_results=max_results,
            next_token=next_token,
            next_token_length_limit=3096,
        )
        max_results = normalise_max_results(max_results)

        state_machine = self.get_store(context).state_machines.get(state_machine_arn)
        if state_machine is None:
            self._raise_state_machine_does_not_exist(state_machine_arn)

        if state_machine.sm_type != StateMachineType.STANDARD:
            self._raise_state_machine_type_not_supported()

        # TODO: add support for paging

        allowed_execution_status = [
            ExecutionStatus.SUCCEEDED,
            ExecutionStatus.TIMED_OUT,
            ExecutionStatus.PENDING_REDRIVE,
            ExecutionStatus.ABORTED,
            ExecutionStatus.FAILED,
            ExecutionStatus.RUNNING,
        ]

        validation_errors = []

        if status_filter and status_filter not in allowed_execution_status:
            validation_errors.append(
                f"Value '{status_filter}' at 'statusFilter' failed to satisfy constraint: Member must satisfy enum value set: [{', '.join(allowed_execution_status)}]"
            )

        if not state_machine_arn and not map_run_arn:
            validation_errors.append("Must provide a StateMachine ARN or MapRun ARN")

        if validation_errors:
            errors_message = "; ".join(validation_errors)
            message = f"{len(validation_errors)} validation {'errors' if len(validation_errors) > 1 else 'error'} detected: {errors_message}"
            raise CommonServiceException(message=message, code="ValidationException")

        executions: ExecutionList = [
            execution.to_execution_list_item()
            for execution in self.get_store(context).executions.values()
            if self._list_execution_filter(
                execution,
                state_machine_arn=state_machine_arn,
                status_filter=status_filter,
            )
        ]

        executions.sort(key=lambda item: item["startDate"], reverse=True)

        paginated_executions = PaginatedList(executions)
        page, token_for_next_page = paginated_executions.get_page(
            token_generator=lambda item: get_next_page_token_from_arn(item.get("executionArn")),
            page_size=max_results,
            next_token=next_token,
        )

        return ListExecutionsOutput(executions=page, nextToken=token_for_next_page)

    def list_state_machines(
        self,
        context: RequestContext,
        max_results: PageSize = None,
        next_token: PageToken = None,
        **kwargs,
    ) -> ListStateMachinesOutput:
        assert_pagination_parameters_valid(max_results, next_token)
        max_results = normalise_max_results(max_results)

        state_machines: StateMachineList = [
            sm.itemise()
            for sm in self.get_store(context).state_machines.values()
            if isinstance(sm, StateMachineRevision)
        ]
        state_machines.sort(key=lambda item: item["name"])

        paginated_state_machines = PaginatedList(state_machines)
        page, token_for_next_page = paginated_state_machines.get_page(
            token_generator=lambda item: get_next_page_token_from_arn(item.get("stateMachineArn")),
            page_size=max_results,
            next_token=next_token,
        )

        return ListStateMachinesOutput(stateMachines=page, nextToken=token_for_next_page)

    def list_state_machine_aliases(
        self,
        context: RequestContext,
        state_machine_arn: Arn,
        next_token: PageToken = None,
        max_results: PageSize = None,
        **kwargs,
    ) -> ListStateMachineAliasesOutput:
        assert_pagination_parameters_valid(max_results, next_token)

        self._validate_state_machine_arn(state_machine_arn)
        state_machines = self.get_store(context).state_machines
        state_machine_revision = state_machines.get(state_machine_arn)
        if not isinstance(state_machine_revision, StateMachineRevision):
            raise InvalidArn(f"Invalid arn: {state_machine_arn}")

        state_machine_aliases: StateMachineAliasList = list()
        valid_token_found = next_token is None

        for alias in state_machine_revision.aliases:
            state_machine_aliases.append(alias.to_item())
            if alias.tokenized_state_machine_alias_arn == next_token:
                valid_token_found = True

        if not valid_token_found:
            raise InvalidToken("Invalid Token: 'Invalid token'")

        state_machine_aliases.sort(key=lambda item: item["creationDate"])

        paginated_list = PaginatedList(state_machine_aliases)

        paginated_aliases, next_token = paginated_list.get_page(
            token_generator=lambda item: get_next_page_token_from_arn(
                item.get("stateMachineAliasArn")
            ),
            next_token=next_token,
            page_size=100 if max_results == 0 or max_results is None else max_results,
        )

        return ListStateMachineAliasesOutput(
            stateMachineAliases=paginated_aliases, nextToken=next_token
        )

    def list_state_machine_versions(
        self,
        context: RequestContext,
        state_machine_arn: Arn,
        next_token: PageToken = None,
        max_results: PageSize = None,
        **kwargs,
    ) -> ListStateMachineVersionsOutput:
        self._validate_state_machine_arn(state_machine_arn)
        assert_pagination_parameters_valid(max_results, next_token)
        max_results = normalise_max_results(max_results)

        state_machines = self.get_store(context).state_machines
        state_machine_revision = state_machines.get(state_machine_arn)
        if not isinstance(state_machine_revision, StateMachineRevision):
            raise InvalidArn(f"Invalid arn: {state_machine_arn}")

        state_machine_version_items = list()
        for version_arn in state_machine_revision.versions.values():
            state_machine_version = state_machines[version_arn]
            if isinstance(state_machine_version, StateMachineVersion):
                state_machine_version_items.append(state_machine_version.itemise())
            else:
                raise RuntimeError(
                    f"Expected {version_arn} to be a StateMachine Version, but got '{type(state_machine_version)}'."
                )

        state_machine_version_items.sort(key=lambda item: item["creationDate"], reverse=True)

        paginated_state_machine_versions = PaginatedList(state_machine_version_items)
        page, token_for_next_page = paginated_state_machine_versions.get_page(
            token_generator=lambda item: get_next_page_token_from_arn(
                item.get("stateMachineVersionArn")
            ),
            page_size=max_results,
            next_token=next_token,
        )

        return ListStateMachineVersionsOutput(
            stateMachineVersions=page, nextToken=token_for_next_page
        )

    def get_execution_history(
        self,
        context: RequestContext,
        execution_arn: Arn,
        max_results: PageSize = None,
        reverse_order: ReverseOrder = None,
        next_token: PageToken = None,
        include_execution_data: IncludeExecutionDataGetExecutionHistory = None,
        **kwargs,
    ) -> GetExecutionHistoryOutput:
        # TODO: add support for paging, ordering, and other manipulations.
        self._validate_state_machine_execution_arn(execution_arn)
        execution: Execution = self._get_execution(context=context, execution_arn=execution_arn)

        # Action only compatible with STANDARD workflows.
        if execution.sm_type != StateMachineType.STANDARD:
            self._raise_resource_type_not_in_context(resource_type=execution.sm_type)

        history: GetExecutionHistoryOutput = execution.to_history_output()
        if reverse_order:
            history["events"].reverse()
        return history

    def delete_state_machine(
        self, context: RequestContext, state_machine_arn: Arn, **kwargs
    ) -> DeleteStateMachineOutput:
        # TODO: halt executions?
        self._validate_state_machine_arn(state_machine_arn)
        state_machines = self.get_store(context).state_machines
        state_machine = state_machines.get(state_machine_arn)
        if isinstance(state_machine, StateMachineRevision):
            state_machines.pop(state_machine_arn)
            for version_arn in state_machine.versions.values():
                state_machines.pop(version_arn, None)
        return DeleteStateMachineOutput()

    def delete_state_machine_alias(
        self, context: RequestContext, state_machine_alias_arn: Arn, **kwargs
    ) -> DeleteStateMachineAliasOutput:
        self._validate_state_machine_alias_arn(state_machine_alias_arn=state_machine_alias_arn)
        store = self.get_store(context=context)
        aliases = store.aliases
        if (alias := aliases.pop(state_machine_alias_arn, None)) is not None:
            state_machines = store.state_machines
            for routing_configuration in alias.get_routing_configuration_list():
                state_machine_version_arn = routing_configuration["stateMachineVersionArn"]
                if (
                    state_machine_version := state_machines.get(state_machine_version_arn)
                ) is None or not isinstance(state_machine_version, StateMachineVersion):
                    continue
                if (
                    state_machine_revision := state_machines.get(state_machine_version.source_arn)
                ) is None or not isinstance(state_machine_revision, StateMachineRevision):
                    continue
                state_machine_revision.aliases.discard(alias)
        return DeleteStateMachineOutput()

    def delete_state_machine_version(
        self, context: RequestContext, state_machine_version_arn: LongArn, **kwargs
    ) -> DeleteStateMachineVersionOutput:
        self._validate_state_machine_arn(state_machine_version_arn)
        state_machines = self.get_store(context).state_machines

        if not (
            state_machine_version := state_machines.get(state_machine_version_arn)
        ) or not isinstance(state_machine_version, StateMachineVersion):
            return DeleteStateMachineVersionOutput()

        if (
            state_machine_revision := state_machines.get(state_machine_version.source_arn)
        ) and isinstance(state_machine_revision, StateMachineRevision):
            referencing_alias_names: list[str] = list()
            for alias in state_machine_revision.aliases:
                if alias.is_router_for(state_machine_version_arn=state_machine_version_arn):
                    referencing_alias_names.append(alias.name)
            if referencing_alias_names:
                referencing_alias_names_list_body = ", ".join(referencing_alias_names)
                raise ConflictException(
                    "Version to be deleted must not be referenced by an alias. "
                    f"Current list of aliases referencing this version: [{referencing_alias_names_list_body}]"
                )
            state_machine_revision.delete_version(state_machine_version_arn)

        state_machines.pop(state_machine_version.arn, None)
        return DeleteStateMachineVersionOutput()

    def stop_execution(
        self,
        context: RequestContext,
        execution_arn: Arn,
        error: SensitiveError = None,
        cause: SensitiveCause = None,
        **kwargs,
    ) -> StopExecutionOutput:
        self._validate_state_machine_execution_arn(execution_arn)
        execution: Execution = self._get_execution(context=context, execution_arn=execution_arn)

        # Action only compatible with STANDARD workflows.
        if execution.sm_type != StateMachineType.STANDARD:
            self._raise_resource_type_not_in_context(resource_type=execution.sm_type)

        stop_date = datetime.datetime.now(tz=datetime.timezone.utc)
        execution.stop(stop_date=stop_date, cause=cause, error=error)
        return StopExecutionOutput(stopDate=stop_date)

    def update_state_machine(
        self,
        context: RequestContext,
        state_machine_arn: Arn,
        definition: Definition = None,
        role_arn: Arn = None,
        logging_configuration: LoggingConfiguration = None,
        tracing_configuration: TracingConfiguration = None,
        publish: Publish = None,
        version_description: VersionDescription = None,
        encryption_configuration: EncryptionConfiguration = None,
        **kwargs,
    ) -> UpdateStateMachineOutput:
        self._validate_state_machine_arn(state_machine_arn)
        state_machines = self.get_store(context).state_machines

        state_machine = state_machines.get(state_machine_arn)
        if not isinstance(state_machine, StateMachineRevision):
            self._raise_state_machine_does_not_exist(state_machine_arn)

        # TODO: Add logic to handle metrics for when SFN definitions update
        if not any([definition, role_arn, logging_configuration]):
            raise MissingRequiredParameter(
                "Either the definition, the role ARN, the LoggingConfiguration, "
                "or the TracingConfiguration must be specified"
            )

        if definition is not None:
            self._validate_definition(definition=definition, static_analysers=[StaticAnalyser()])

        if logging_configuration is not None:
            self._sanitise_logging_configuration(logging_configuration=logging_configuration)

        revision_id = state_machine.create_revision(
            definition=definition,
            role_arn=role_arn,
            logging_configuration=logging_configuration,
        )

        version_arn = None
        if publish:
            version = state_machine.create_version(description=version_description)
            if version is not None:
                version_arn = version.arn
                state_machines[version_arn] = version
            else:
                target_revision_id = revision_id or state_machine.revision_id
                version_arn = state_machine.versions[target_revision_id]

        update_output = UpdateStateMachineOutput(
            updateDate=datetime.datetime.now(tz=datetime.timezone.utc)
        )
        if revision_id is not None:
            update_output["revisionId"] = revision_id
        if version_arn is not None:
            update_output["stateMachineVersionArn"] = version_arn
        return update_output

    def update_state_machine_alias(
        self,
        context: RequestContext,
        state_machine_alias_arn: Arn,
        description: AliasDescription = None,
        routing_configuration: RoutingConfigurationList = None,
        **kwargs,
    ) -> UpdateStateMachineAliasOutput:
        self._validate_state_machine_alias_arn(state_machine_alias_arn=state_machine_alias_arn)
        if not any([description, routing_configuration]):
            raise MissingRequiredParameter(
                "Either the description or the RoutingConfiguration must be specified"
            )
        if routing_configuration is not None:
            self._validate_state_machine_alias_routing_configuration(
                context=context, routing_configuration_list=routing_configuration
            )
        store = self.get_store(context=context)
        alias = store.aliases.get(state_machine_alias_arn)
        if alias is None:
            raise ResourceNotFound("Request references a resource that does not exist.")

        alias.update(description=description, routing_configuration_list=routing_configuration)
        return UpdateStateMachineAliasOutput(updateDate=alias.update_date)

    def publish_state_machine_version(
        self,
        context: RequestContext,
        state_machine_arn: Arn,
        revision_id: RevisionId = None,
        description: VersionDescription = None,
        **kwargs,
    ) -> PublishStateMachineVersionOutput:
        self._validate_state_machine_arn(state_machine_arn)
        state_machines = self.get_store(context).state_machines

        state_machine_revision = state_machines.get(state_machine_arn)
        if not isinstance(state_machine_revision, StateMachineRevision):
            self._raise_state_machine_does_not_exist(state_machine_arn)

        if revision_id is not None and state_machine_revision.revision_id != revision_id:
            raise ConflictException(
                f"Failed to publish the State Machine version for revision {revision_id}. "
                f"The current State Machine revision is {state_machine_revision.revision_id}."
            )

        state_machine_version = state_machine_revision.create_version(description=description)
        if state_machine_version is not None:
            state_machines[state_machine_version.arn] = state_machine_version
        else:
            target_revision_id = revision_id or state_machine_revision.revision_id
            state_machine_version_arn = state_machine_revision.versions.get(target_revision_id)
            state_machine_version = state_machines[state_machine_version_arn]

        return PublishStateMachineVersionOutput(
            creationDate=state_machine_version.create_date,
            stateMachineVersionArn=state_machine_version.arn,
        )

    def tag_resource(
        self, context: RequestContext, resource_arn: Arn, tags: TagList, **kwargs
    ) -> TagResourceOutput:
        # TODO: add tagging for activities.
        state_machines = self.get_store(context).state_machines
        state_machine = state_machines.get(resource_arn)
        if not isinstance(state_machine, StateMachineRevision):
            raise ResourceNotFound(f"Resource not found: '{resource_arn}'")

        state_machine.tag_manager.add_all(tags)
        return TagResourceOutput()

    def untag_resource(
        self, context: RequestContext, resource_arn: Arn, tag_keys: TagKeyList, **kwargs
    ) -> UntagResourceOutput:
        # TODO: add untagging for activities.
        state_machines = self.get_store(context).state_machines
        state_machine = state_machines.get(resource_arn)
        if not isinstance(state_machine, StateMachineRevision):
            raise ResourceNotFound(f"Resource not found: '{resource_arn}'")

        state_machine.tag_manager.remove_all(tag_keys)
        return UntagResourceOutput()

    def list_tags_for_resource(
        self, context: RequestContext, resource_arn: Arn, **kwargs
    ) -> ListTagsForResourceOutput:
        # TODO: add untagging for activities.
        state_machines = self.get_store(context).state_machines
        state_machine = state_machines.get(resource_arn)
        if not isinstance(state_machine, StateMachineRevision):
            raise ResourceNotFound(f"Resource not found: '{resource_arn}'")

        tags: TagList = state_machine.tag_manager.to_tag_list()
        return ListTagsForResourceOutput(tags=tags)

    def describe_map_run(
        self, context: RequestContext, map_run_arn: LongArn, **kwargs
    ) -> DescribeMapRunOutput:
        store = self.get_store(context)
        for execution in store.executions.values():
            map_run_record: Optional[MapRunRecord] = (
                execution.exec_worker.env.map_run_record_pool_manager.get(map_run_arn)
            )
            if map_run_record is not None:
                return map_run_record.describe()
        raise ResourceNotFound()

    def list_map_runs(
        self,
        context: RequestContext,
        execution_arn: Arn,
        max_results: PageSize = None,
        next_token: PageToken = None,
        **kwargs,
    ) -> ListMapRunsOutput:
        # TODO: add support for paging.
        execution = self._get_execution(context=context, execution_arn=execution_arn)
        map_run_records: list[MapRunRecord] = (
            execution.exec_worker.env.map_run_record_pool_manager.get_all()
        )
        return ListMapRunsOutput(
            mapRuns=[map_run_record.list_item() for map_run_record in map_run_records]
        )

    def update_map_run(
        self,
        context: RequestContext,
        map_run_arn: LongArn,
        max_concurrency: MaxConcurrency = None,
        tolerated_failure_percentage: ToleratedFailurePercentage = None,
        tolerated_failure_count: ToleratedFailureCount = None,
        **kwargs,
    ) -> UpdateMapRunOutput:
        if tolerated_failure_percentage is not None or tolerated_failure_count is not None:
            raise NotImplementedError(
                "Updating of ToleratedFailureCount and ToleratedFailurePercentage is currently unsupported."
            )
        # TODO: investigate behaviour of empty requests.
        store = self.get_store(context)
        for execution in store.executions.values():
            map_run_record: Optional[MapRunRecord] = (
                execution.exec_worker.env.map_run_record_pool_manager.get(map_run_arn)
            )
            if map_run_record is not None:
                map_run_record.update(
                    max_concurrency=max_concurrency,
                    tolerated_failure_count=tolerated_failure_count,
                    tolerated_failure_percentage=tolerated_failure_percentage,
                )
                LOG.warning(
                    "StepFunctions UpdateMapRun changes are currently not being reflected in the MapRun instances."
                )
                return UpdateMapRunOutput()
        raise ResourceNotFound()

    def test_state(
        self,
        context: RequestContext,
        definition: Definition,
        role_arn: Arn = None,
        input: SensitiveData = None,
        inspection_level: InspectionLevel = None,
        reveal_secrets: RevealSecrets = None,
        variables: SensitiveData = None,
        **kwargs,
    ) -> TestStateOutput:
        StepFunctionsProvider._validate_definition(
            definition=definition, static_analysers=[TestStateStaticAnalyser()]
        )

        name: Optional[Name] = f"TestState-{short_uid()}"
        arn = stepfunctions_state_machine_arn(
            name=name, account_id=context.account_id, region_name=context.region
        )
        state_machine = TestStateMachine(
            name=name,
            arn=arn,
            role_arn=role_arn,
            definition=definition,
        )
        exec_arn = stepfunctions_standard_execution_arn(state_machine.arn, name)

        input_json = json.loads(input)
        execution = TestStateExecution(
            name=name,
            role_arn=role_arn,
            exec_arn=exec_arn,
            account_id=context.account_id,
            region_name=context.region,
            state_machine=state_machine,
            start_date=datetime.datetime.now(tz=datetime.timezone.utc),
            input_data=input_json,
            activity_store=self.get_store(context).activities,
        )
        execution.start()

        test_state_output = execution.to_test_state_output(
            inspection_level=inspection_level or InspectionLevel.INFO
        )

        return test_state_output

    def create_activity(
        self,
        context: RequestContext,
        name: Name,
        tags: TagList = None,
        encryption_configuration: EncryptionConfiguration = None,
        **kwargs,
    ) -> CreateActivityOutput:
        self._validate_activity_name(name=name)

        activity_arn = stepfunctions_activity_arn(
            name=name, account_id=context.account_id, region_name=context.region
        )
        activities = self.get_store(context).activities
        if activity_arn not in activities:
            activity = Activity(arn=activity_arn, name=name)
            activities[activity_arn] = activity
        else:
            activity = activities[activity_arn]

        return CreateActivityOutput(activityArn=activity.arn, creationDate=activity.creation_date)

    def delete_activity(
        self, context: RequestContext, activity_arn: Arn, **kwargs
    ) -> DeleteActivityOutput:
        self._validate_activity_arn(activity_arn)
        self.get_store(context).activities.pop(activity_arn, None)
        return DeleteActivityOutput()

    def describe_activity(
        self, context: RequestContext, activity_arn: Arn, **kwargs
    ) -> DescribeActivityOutput:
        self._validate_activity_arn(activity_arn)
        activity = self._get_activity(context=context, activity_arn=activity_arn)
        return activity.to_describe_activity_output()

    def list_activities(
        self,
        context: RequestContext,
        max_results: PageSize = None,
        next_token: PageToken = None,
        **kwargs,
    ) -> ListActivitiesOutput:
        activities: list[Activity] = list(self.get_store(context).activities.values())
        return ListActivitiesOutput(
            activities=[activity.to_activity_list_item() for activity in activities]
        )

    def _send_activity_task_started(
        self,
        context: RequestContext,
        task_token: TaskToken,
        worker_name: Optional[Name],
    ) -> None:
        executions: list[Execution] = self._get_executions(context)
        for execution in executions:
            callback_endpoint = execution.exec_worker.env.callback_pool_manager.get(
                callback_id=task_token
            )
            if isinstance(callback_endpoint, ActivityCallbackEndpoint):
                callback_endpoint.notify_activity_task_start(worker_name=worker_name)
                return
        raise InvalidToken()

    @staticmethod
    def _pull_activity_task(activity: Activity) -> Optional[ActivityTask]:
        seconds_left = 60
        while seconds_left > 0:
            try:
                return activity.get_task()
            except IndexError:
                time.sleep(1)
                seconds_left -= 1
        return None

    def get_activity_task(
        self,
        context: RequestContext,
        activity_arn: Arn,
        worker_name: Name = None,
        **kwargs,
    ) -> GetActivityTaskOutput:
        self._validate_activity_arn(activity_arn)

        activity = self._get_activity(context=context, activity_arn=activity_arn)
        maybe_task: Optional[ActivityTask] = self._pull_activity_task(activity=activity)
        if maybe_task is not None:
            self._send_activity_task_started(
                context, maybe_task.task_token, worker_name=worker_name
            )
            return GetActivityTaskOutput(
                taskToken=maybe_task.task_token, input=maybe_task.task_input
            )

        return GetActivityTaskOutput(taskToken=None, input=None)

    def validate_state_machine_definition(
        self, context: RequestContext, request: ValidateStateMachineDefinitionInput, **kwargs
    ) -> ValidateStateMachineDefinitionOutput:
        # TODO: increase parity of static analysers, current implementation is an unblocker for this API action.
        # TODO: add support for ValidateStateMachineDefinitionSeverity
        # TODO: add support for ValidateStateMachineDefinitionMaxResult

        state_machine_type: StateMachineType = request.get("type", StateMachineType.STANDARD)
        definition: str = request["definition"]

        static_analysers = list()
        if state_machine_type == StateMachineType.STANDARD:
            static_analysers.append(StaticAnalyser())
        else:
            static_analysers.append(ExpressStaticAnalyser())

        diagnostics: ValidateStateMachineDefinitionDiagnosticList = list()
        try:
            StepFunctionsProvider._validate_definition(
                definition=definition, static_analysers=static_analysers
            )
            validation_result = ValidateStateMachineDefinitionResultCode.OK
        except InvalidDefinition as invalid_definition:
            validation_result = ValidateStateMachineDefinitionResultCode.FAIL
            diagnostics.append(
                ValidateStateMachineDefinitionDiagnostic(
                    severity=ValidateStateMachineDefinitionSeverity.ERROR,
                    code="SCHEMA_VALIDATION_FAILED",
                    message=invalid_definition.message,
                )
            )
        except Exception as ex:
            validation_result = ValidateStateMachineDefinitionResultCode.FAIL
            LOG.error("Unknown error during validation %s", ex)

        return ValidateStateMachineDefinitionOutput(
            result=validation_result, diagnostics=diagnostics, truncated=False
        )

localstack / localstack / 74eac421-9806-47ba-8f8c-92653ce53828

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