faust

Python Stream processing.

class faust.Agent(fun: Callable[faust.types.streams.StreamT, Union[Coroutine[[Any, Any], None], Awaitable[None], AsyncIterable]], *, app: faust.types.app.AppT, name: str = None, channel: Union[str, faust.types.channels.ChannelT] = None, concurrency: int = 1, sink: Iterable[Union[AgentT, faust.types.channels.ChannelT, Callable[Any, Optional[Awaitable]]]] = None, on_error: Callable[[AgentT, BaseException], Awaitable] = None, supervisor_strategy: Type[mode.types.supervisors.SupervisorStrategyT] = None, help: str = None, key_type: Union[Type[faust.types.models.ModelT], Type[bytes], Type[str]] = None, value_type: Union[Type[faust.types.models.ModelT], Type[bytes], Type[str]] = None, isolated_partitions: bool = False, **kwargs) → None[source]

Agent.

This is the type of object returned by the @app.agent decorator.

supervisor = None
cancel() → None[source]
Return type:None
info() → Mapping[source]
Return type:Mapping[~KT, +VT_co]
clone(*, cls: Type[faust.types.agents.AgentT] = None, **kwargs) → faust.types.agents.AgentT[source]
Return type:AgentT[]
test_context(channel: faust.types.channels.ChannelT = None, supervisor_strategy: mode.types.supervisors.SupervisorStrategyT = None, on_error: Callable[[AgentT, BaseException], Awaitable] = None, **kwargs) → faust.types.agents.AgentTestWrapperT[source]
Return type:AgentTestWrapperT[]
actor_from_stream(stream: faust.types.streams.StreamT) → faust.types.agents.ActorT[Union[AsyncIterable, Awaitable]][source]
Return type:ActorT[]
add_sink(sink: Union[AgentT, faust.types.channels.ChannelT, Callable[Any, Optional[Awaitable]]]) → None[source]
Return type:None
stream(channel: faust.types.channels.ChannelT = None, active_partitions: Set[faust.types.tuples.TP] = None, **kwargs) → faust.types.streams.StreamT[source]
Return type:StreamT[+T_co]
coroutine ask(self, value: Union[bytes, faust.types.core.ModelT, Any] = None, *, key: Union[bytes, faust.types.core.ModelT, Any, None] = None, partition: int = None, timestamp: float = None, reply_to: Union[AgentT, faust.types.channels.ChannelT, str] = None, correlation_id: str = None) → Any[source]
Return type:Any
coroutine ask_nowait(self, value: Union[bytes, faust.types.core.ModelT, Any] = None, *, key: Union[bytes, faust.types.core.ModelT, Any, None] = None, partition: int = None, timestamp: float = None, reply_to: Union[AgentT, faust.types.channels.ChannelT, str] = None, correlation_id: str = None, force: bool = False) → faust.agents.replies.ReplyPromise[source]
Return type:ReplyPromise
coroutine cast(self, value: Union[bytes, faust.types.core.ModelT, Any] = None, *, key: Union[bytes, faust.types.core.ModelT, Any, None] = None, partition: int = None, timestamp: float = None) → None[source]
Return type:None
get_topic_names() → Iterable[str][source]
Return type:Iterable[str]
coroutine join(self, values: Union[AsyncIterable[Union[bytes, faust.types.core.ModelT, Any]], Iterable[Union[bytes, faust.types.core.ModelT, Any]]], key: Union[bytes, faust.types.core.ModelT, Any, None] = None, reply_to: Union[AgentT, faust.types.channels.ChannelT, str] = None) → List[Any][source]
Return type:List[Any]
coroutine kvjoin(self, items: Union[AsyncIterable[Tuple[Union[bytes, faust.types.core.ModelT, Any, None], Union[bytes, faust.types.core.ModelT, Any]]], Iterable[Tuple[Union[bytes, faust.types.core.ModelT, Any, None], Union[bytes, faust.types.core.ModelT, Any]]]], reply_to: Union[AgentT, faust.types.channels.ChannelT, str] = None) → List[Any][source]
Return type:List[Any]
kvmap(items: Union[AsyncIterable[Tuple[Union[bytes, faust.types.core.ModelT, Any, None], Union[bytes, faust.types.core.ModelT, Any]]], Iterable[Tuple[Union[bytes, faust.types.core.ModelT, Any, None], Union[bytes, faust.types.core.ModelT, Any]]]], reply_to: Union[AgentT, faust.types.channels.ChannelT, str] = None) → AsyncIterator[str][source]
Return type:AsyncIterator[str]
logger = <Logger faust.agents.agent (WARNING)>
map(values: Union[AsyncIterable, Iterable], key: Union[bytes, faust.types.core.ModelT, Any, None] = None, reply_to: Union[AgentT, faust.types.channels.ChannelT, str] = None) → AsyncIterator[source]
Return type:AsyncIterator[+T_co]
coroutine on_isolated_partitions_assigned(self, assigned: Set[faust.types.tuples.TP]) → None[source]
Return type:None
coroutine on_isolated_partitions_revoked(self, revoked: Set[faust.types.tuples.TP]) → None[source]
Return type:None
coroutine on_partitions_assigned(self, assigned: Set[faust.types.tuples.TP]) → None[source]
Return type:None
coroutine on_partitions_revoked(self, revoked: Set[faust.types.tuples.TP]) → None[source]
Return type:None
coroutine on_shared_partitions_assigned(self, assigned: Set[faust.types.tuples.TP]) → None[source]
Return type:None
coroutine on_shared_partitions_revoked(self, revoked: Set[faust.types.tuples.TP]) → None[source]
Return type:None
coroutine on_start(self) → None[source]

Called every time before the service is started/restarted.

Return type:None
coroutine on_stop(self) → None[source]

Called every time before the service is stopped/restarted.

Return type:None
coroutine send(self, *, key: Union[bytes, faust.types.core.ModelT, Any, None] = None, value: Union[bytes, faust.types.core.ModelT, Any] = None, partition: int = None, timestamp: float = None, key_serializer: Union[faust.types.codecs.CodecT, str, None] = None, value_serializer: Union[faust.types.codecs.CodecT, str, None] = None, callback: Callable[faust.types.tuples.FutureMessage, Union[None, Awaitable[None]]] = None, reply_to: Union[AgentT, faust.types.channels.ChannelT, str] = None, correlation_id: str = None, force: bool = False) → Awaitable[faust.types.tuples.RecordMetadata][source]

Send message to topic used by agent.

Return type:Awaitable[RecordMetadata]
channel
Return type:ChannelT[]
channel_iterator
Return type:AsyncIterator[+T_co]
label

Label used for graphs. :rtype: str

shortlabel

Label used for logging. :rtype: str

class faust.App(id: str, *, monitor: faust.sensors.monitor.Monitor = None, config_source: Any = None, loop: asyncio.events.AbstractEventLoop = None, beacon: mode.utils.types.trees.NodeT = None, **options) → None[source]

Faust Application.

Parameters:id (str) – Application ID.
Keyword Arguments:
 loop (asyncio.AbstractEventLoop) – optional event loop to use.

See also

Application Parameters – for supported keyword arguments.

class BootStrategy(app: faust.types.app.AppT, *, enable_web: bool = None, enable_kafka: bool = None, enable_kafka_producer: bool = None, enable_kafka_consumer: bool = None, enable_sensors: bool = None) → None
agents() → Iterable[mode.types.services.ServiceT]
Return type:Iterable[ServiceT[]]
client_only() → Iterable[mode.types.services.ServiceT]
Return type:Iterable[ServiceT[]]
enable_kafka = True
enable_kafka_consumer = None
enable_kafka_producer = None
enable_sensors = True
enable_web = None
kafka_client_consumer() → Iterable[mode.types.services.ServiceT]
Return type:Iterable[ServiceT[]]
kafka_conductor() → Iterable[mode.types.services.ServiceT]
Return type:Iterable[ServiceT[]]
kafka_consumer() → Iterable[mode.types.services.ServiceT]
Return type:Iterable[ServiceT[]]
kafka_producer() → Iterable[mode.types.services.ServiceT]
Return type:Iterable[ServiceT[]]
producer_only() → Iterable[mode.types.services.ServiceT]
Return type:Iterable[ServiceT[]]
sensors() → Iterable[mode.types.services.ServiceT]
Return type:Iterable[ServiceT[]]
server() → Iterable[mode.types.services.ServiceT]
Return type:Iterable[ServiceT[]]
tables() → Iterable[mode.types.services.ServiceT]
Return type:Iterable[ServiceT[]]
web_components() → Iterable[mode.types.services.ServiceT]
Return type:Iterable[ServiceT[]]
web_server() → Iterable[mode.types.services.ServiceT]
Return type:Iterable[ServiceT[]]
client_only = False

Set this to True if app should only start the services required to operate as an RPC client (producer and simple reply consumer).

producer_only = False

Set this to True if app should run without consumer/tables.

on_init_dependencies() → Iterable[mode.types.services.ServiceT][source]

Callback to be used to add service dependencies.

Return type:Iterable[ServiceT[]]
config_from_object(obj: Any, *, silent: bool = False, force: bool = False) → None[source]

Read configuration from object.

Object is either an actual object or the name of a module to import.

Examples

>>> app.config_from_object('myproj.faustconfig')
>>> from myproj import faustconfig
>>> app.config_from_object(faustconfig)
Parameters:
  • silent (bool) – If true then import errors will be ignored.
  • force (bool) – Force reading configuration immediately. By default the configuration will be read only when required.
Return type:

None

finalize() → None[source]
Return type:None
worker_init() → None[source]
Return type:None
discover(*extra_modules, categories: Iterable[str] = ['faust.agent', 'faust.command', 'faust.page', 'faust.service', 'faust.task'], ignore: Iterable[str] = ['test_.*', '.*__main__.*']) → None[source]
Return type:None
main() → None[source]

Execute the faust umbrella command using this app.

Return type:None
topic(*topics, pattern: Union[str, Pattern[~AnyStr]] = None, key_type: Union[Type[faust.types.models.ModelT], Type[bytes], Type[str]] = None, value_type: Union[Type[faust.types.models.ModelT], Type[bytes], Type[str]] = None, key_serializer: Union[faust.types.codecs.CodecT, str, None] = None, value_serializer: Union[faust.types.codecs.CodecT, str, None] = None, partitions: int = None, retention: Union[datetime.timedelta, float, str] = None, compacting: bool = None, deleting: bool = None, replicas: int = None, acks: bool = True, internal: bool = False, config: Mapping[str, Any] = None, maxsize: int = None, allow_empty: bool = False, loop: asyncio.events.AbstractEventLoop = None) → faust.types.topics.TopicT[source]

Create topic description.

Topics are named channels (for example a Kafka topic), that exist on a server. To make an ephemeral local communication channel use: channel().

Return type:TopicT[]
channel(*, key_type: Union[Type[faust.types.models.ModelT], Type[bytes], Type[str]] = None, value_type: Union[Type[faust.types.models.ModelT], Type[bytes], Type[str]] = None, maxsize: int = None, loop: asyncio.events.AbstractEventLoop = None) → faust.types.channels.ChannelT[source]

Create new channel.

By default this will create an in-memory channel used for intra-process communication, but in practice channels can be backed by any transport (network or even means of inter-process communication).

Return type:ChannelT[]
agent(channel: Union[str, faust.types.channels.ChannelT] = None, *, name: str = None, concurrency: int = 1, supervisor_strategy: Type[mode.types.supervisors.SupervisorStrategyT] = None, sink: Iterable[Union[AgentT, faust.types.channels.ChannelT, Callable[Any, Optional[Awaitable]]]] = None, isolated_partitions: bool = False, **kwargs) → Callable[Callable[faust.types.streams.StreamT, Union[Coroutine[[Any, Any], None], Awaitable[None], AsyncIterable]], faust.types.agents.AgentT][source]

Create Agent from async def function.

It can be a regular async function:

@app.agent()
async def my_agent(stream):
    async for number in stream:
        print(f'Received: {number!r}')

Or it can be an async iterator that yields values. These values can be used as the reply in an RPC-style call, or for sinks: callbacks that forward events to other agents/topics/statsd, and so on:

@app.agent(sink=[log_topic])
async def my_agent(requests):
    async for number in requests:
        yield number * 2
Return type:Callable[[Callable[[StreamT[+T_co]], Union[Coroutine[Any, Any, None], Awaitable[None], AsyncIterable[+T_co]]]], AgentT[]]
actor(channel: Union[str, faust.types.channels.ChannelT] = None, *, name: str = None, concurrency: int = 1, supervisor_strategy: Type[mode.types.supervisors.SupervisorStrategyT] = None, sink: Iterable[Union[AgentT, faust.types.channels.ChannelT, Callable[Any, Optional[Awaitable]]]] = None, isolated_partitions: bool = False, **kwargs) → Callable[Callable[faust.types.streams.StreamT, Union[Coroutine[[Any, Any], None], Awaitable[None], AsyncIterable]], faust.types.agents.AgentT]

Create Agent from async def function.

It can be a regular async function:

@app.agent()
async def my_agent(stream):
    async for number in stream:
        print(f'Received: {number!r}')

Or it can be an async iterator that yields values. These values can be used as the reply in an RPC-style call, or for sinks: callbacks that forward events to other agents/topics/statsd, and so on:

@app.agent(sink=[log_topic])
async def my_agent(requests):
    async for number in requests:
        yield number * 2
Return type:Callable[[Callable[[StreamT[+T_co]], Union[Coroutine[Any, Any, None], Awaitable[None], AsyncIterable[+T_co]]]], AgentT[]]
task(fun: Union[Callable[AppT, Awaitable], Callable[Awaitable]] = None, *, on_leader: bool = False) → Union[Callable[Union[Callable[faust.types.app.AppT, Awaitable], Callable[Awaitable]], Union[Callable[faust.types.app.AppT, Awaitable], Callable[Awaitable]]], Callable[faust.types.app.AppT, Awaitable], Callable[Awaitable]][source]

Define an async def function to be started with the app.

This is like timer() but a one-shot task only executed at worker startup (after recovery and the worker is fully ready for operation).

The function may take zero, or one argument. If the target function takes an argument, the app argument is passed:

>>> @app.task
>>> async def on_startup(app):
...    print('STARTING UP: %r' % (app,))

Nullary functions are also supported:

>>> @app.task
>>> async def on_startup():
...     print('STARTING UP')
Return type:Union[Callable[[Union[Callable[[AppT[]], Awaitable[+T_co]], Callable[[], Awaitable[+T_co]]]], Union[Callable[[AppT[]], Awaitable[+T_co]], Callable[[], Awaitable[+T_co]]]], Callable[[AppT[]], Awaitable[+T_co]], Callable[[], Awaitable[+T_co]]]
timer(interval: Union[datetime.timedelta, float, str], on_leader: bool = False) → Callable[source]

Define an async def function to be run at periodic intervals.

Like task(), but executes periodically until the worker is shut down.

This decorator takes an async function and adds it to a list of timers started with the app.

Parameters:
  • interval (Seconds) – How often the timer executes in seconds.
  • on_leader (bool) – Should the timer only run on the leader?

Example

>>> @app.timer(interval=10.0)
>>> async def every_10_seconds():
...     print('TEN SECONDS JUST PASSED')
>>> app.timer(interval=5.0, on_leader=True)
>>> async def every_5_seconds():
...     print('FIVE SECONDS JUST PASSED. ALSO, I AM THE LEADER!')
Return type:Callable
crontab(cron_format: str, *, timezone: datetime.tzinfo = None, on_leader: bool = False) → Callable[source]

Define an async def function to be run at the fixed times, defined by the cron format.

Like timer(), but executes at fixed times instead of executing at certain intervals.

This decorator takes an async function and adds it to a list of cronjobs started with the app.

Parameters:

cron_format (str) – The cron spec defining fixed times to run the decorated function.

Keyword Arguments:
 
  • timezone – The timezone to be taken into account for the cron jobs. If not set value from timezone will be taken.
  • on_leader – Should the cron job only run on the leader?

Example

>>> @app.crontab(cron_format='30 18 * * *',
                 timezone=pytz.timezone('US/Pacific'))
>>> async def every_6_30_pm_pacific():
...     print('IT IS 6:30pm')
>>> app.crontab(cron_format='30 18 * * *', on_leader=True)
>>> async def every_6_30_pm():
...     print('6:30pm UTC; ALSO, I AM THE LEADER!')
Return type:Callable
service(cls: Type[mode.types.services.ServiceT]) → Type[mode.types.services.ServiceT][source]

Decorate mode.Service to be started with the app.

Examples

from mode import Service

@app.service
class Foo(Service):
    ...
Return type:Type[ServiceT[]]
is_leader() → bool[source]
Return type:bool
stream(channel: Union[AsyncIterable, Iterable], beacon: mode.utils.types.trees.NodeT = None, **kwargs) → faust.types.streams.StreamT[source]

Create new stream from channel/topic/iterable/async iterable.

Parameters:
Return type:

StreamT[+T_co]

Returns:

to iterate over events in the stream.

Return type:

faust.Stream

Table(name: str, *, default: Callable[Any] = None, window: faust.types.windows.WindowT = None, partitions: int = None, help: str = None, **kwargs) → faust.types.tables.TableT[source]

Define new table.

Parameters:
  • name (str) – Name used for table, note that two tables living in the same application cannot have the same name.
  • default (Optional[Callable[[], Any]]) – A callable, or type that will return a default value for keys missing in this table.
  • window (Optional[WindowT]) – A windowing strategy to wrap this window in.

Examples

>>> table = app.Table('user_to_amount', default=int)
>>> table['George']
0
>>> table['Elaine'] += 1
>>> table['Elaine'] += 1
>>> table['Elaine']
2
Return type:TableT[~KT, ~VT]
SetTable(name: str, *, window: faust.types.windows.WindowT = None, partitions: int = None, help: str = None, **kwargs) → faust.types.tables.TableT[source]
Return type:TableT[~KT, ~VT]
page(path: str, *, base: Type[faust.web.views.View] = <class 'faust.web.views.View'>, name: str = None) → Callable[Union[Type[faust.types.web.View], Callable[[faust.types.web.View, faust.types.web.Request], Union[Coroutine[[Any, Any], faust.types.web.Response], Awaitable[faust.types.web.Response]]], Callable[[faust.types.web.View, faust.types.web.Request, Any, Any], Union[Coroutine[[Any, Any], faust.types.web.Response], Awaitable[faust.types.web.Response]]]], Type[faust.web.views.View]][source]
Return type:Callable[[Union[Type[View], Callable[[View, Request], Union[Coroutine[Any, Any, Response], Awaitable[Response]]], Callable[[View, Request, Any, Any], Union[Coroutine[Any, Any, Response], Awaitable[Response]]]]], Type[View]]
table_route(table: faust.types.tables.CollectionT, shard_param: str = None, *, query_param: str = None, match_info: str = None) → Callable[Union[Callable[[faust.types.web.View, faust.types.web.Request], Union[Coroutine[[Any, Any], faust.types.web.Response], Awaitable[faust.types.web.Response]]], Callable[[faust.types.web.View, faust.types.web.Request, Any, Any], Union[Coroutine[[Any, Any], faust.types.web.Response], Awaitable[faust.types.web.Response]]]], Union[Callable[[faust.types.web.View, faust.types.web.Request], Union[Coroutine[[Any, Any], faust.types.web.Response], Awaitable[faust.types.web.Response]]], Callable[[faust.types.web.View, faust.types.web.Request, Any, Any], Union[Coroutine[[Any, Any], faust.types.web.Response], Awaitable[faust.types.web.Response]]]]][source]
Return type:Callable[[Union[Callable[[View, Request], Union[Coroutine[Any, Any, Response], Awaitable[Response]]], Callable[[View, Request, Any, Any], Union[Coroutine[Any, Any, Response], Awaitable[Response]]]]], Union[Callable[[View, Request], Union[Coroutine[Any, Any, Response], Awaitable[Response]]], Callable[[View, Request, Any, Any], Union[Coroutine[Any, Any, Response], Awaitable[Response]]]]]
command(*options, base: Optional[Type[faust.app.base.AppCommand]] = None, **kwargs) → Callable[Callable, Type[faust.app.base.AppCommand]][source]
Return type:Callable[[Callable], Type[AppCommand]]
in_transaction[source]
on_rebalance_start() → None[source]
Return type:None
on_rebalance_end() → None[source]
Return type:None
FlowControlQueue(maxsize: int = None, *, clear_on_resume: bool = False, loop: asyncio.events.AbstractEventLoop = None) → mode.utils.queues.ThrowableQueue[source]

Like asyncio.Queue, but can be suspended/resumed.

Return type:ThrowableQueue
Worker(**kwargs) → faust.app.base.WorkerT[source]
Return type:WorkerT
on_webserver_init(web: faust.types.web.Web) → None[source]
Return type:None
conf
Return type:Settings
coroutine commit(self, topics: AbstractSet[Union[str, faust.types.tuples.TP]]) → bool[source]

Commit offset for acked messages in specified topics’.

Warning

This will commit acked messages in all topics if the topics argument is passed in as None.

Return type:bool
logger = <Logger faust.app.base (WARNING)>
coroutine maybe_start_client(self) → None[source]

Start the app in Client-Only mode if not started as Server.

Return type:None
maybe_start_producer[source]

Ensure producer is started.

coroutine on_first_start(self) → None[source]

Called only the first time the service is started.

Return type:None
coroutine on_init_extra_service(self, service: Union[mode.types.services.ServiceT, Type[mode.types.services.ServiceT]]) → mode.types.services.ServiceT[source]
Return type:ServiceT[]
coroutine on_start(self) → None[source]

Called every time before the service is started/restarted.

Return type:None
coroutine on_started(self) → None[source]

Called every time after the service is started/restarted.

Return type:None
coroutine on_started_init_extra_services(self) → None[source]
Return type:None
coroutine on_started_init_extra_tasks(self) → None[source]
Return type:None
coroutine on_stop(self) → None[source]

Called every time before the service is stopped/restarted.

Return type:None
coroutine send(self, channel: Union[faust.types.channels.ChannelT, str], key: Union[bytes, faust.types.core.ModelT, Any, None] = None, value: Union[bytes, faust.types.core.ModelT, Any] = None, partition: int = None, timestamp: float = None, key_serializer: Union[faust.types.codecs.CodecT, str, None] = None, value_serializer: Union[faust.types.codecs.CodecT, str, None] = None, callback: Callable[faust.types.tuples.FutureMessage, Union[None, Awaitable[None]]] = None) → Awaitable[faust.types.tuples.RecordMetadata][source]

Send event to channel/topic.

Parameters:
  • channel (Union[ChannelT[], str]) – Channel/topic or the name of a topic to send event to.
  • key (Union[bytes, ModelT, Any, None]) – Message key.
  • value (Union[bytes, ModelT, Any, None]) – Message value.
  • partition (Optional[int]) – Specific partition to send to. If not set the partition will be chosen by the partitioner.
  • timestamp (Optional[float]) – Epoch seconds (from Jan 1 1970 UTC) to use as the message timestamp. Defaults to current time.
  • key_serializer (Union[CodecT, str, None]) – Serializer to use (if value is not model).
  • value_serializer (Union[CodecT, str, None]) – Serializer to use (if value is not model).
  • callback (Optional[Callable[[FutureMessage[]], Union[None, Awaitable[None]]]]) –

    Called after the message is fully delivered to the channel, but not to the consumer. Signature must be unary as the FutureMessage future is passed to it.

    The resulting faust.types.tuples.RecordMetadata object is then available as fut.result().

Return type:

Awaitable[RecordMetadata]

coroutine start_client(self) → None[source]

Start the app in Client-Only mode necessary for RPC requests.

Notes

Once started as a client the app cannot be restarted as Server.

Return type:None
producer
Return type:ProducerT[]
consumer
Return type:ConsumerT[]
transport

Message transport. :rtype: TransportT

cache
Return type:CacheBackendT[]
tables[source]

Map of available tables, and the table manager service.

topics[source]

Topic Conductor.

This is the mediator that moves messages fetched by the Consumer into the streams.

It’s also a set of registered topics by string topic name, so you can check if a topic is being consumed from by doing topic in app.topics.

monitor

Monitor keeps stats about what’s going on inside the worker. :rtype: Monitor[]

flow_control[source]

Internal flow control.

This object controls flow into stream queues, and can also clear all buffers.

http_client

HTTP Client Session. :rtype: ClientSession

assignor[source]

Partition Assignor.

Responsible for partition assignment.

router[source]

Find the node partitioned data belongs to.

The router helps us route web requests to the wanted Faust node. If a topic is sharded by account_id, the router can send us to the Faust worker responsible for any account. Used by the @app.table_route decorator.

web[source]
serializers[source]
label

Label used for graphs. :rtype: str

shortlabel

Label used for logging. :rtype: str

class faust.Channel(app: faust.types.app.AppT, *, key_type: Union[Type[faust.types.models.ModelT], Type[bytes], Type[str]] = None, value_type: Union[Type[faust.types.models.ModelT], Type[bytes], Type[str]] = None, is_iterator: bool = False, queue: mode.utils.queues.ThrowableQueue = None, maxsize: int = None, root: faust.types.channels.ChannelT = None, active_partitions: Set[faust.types.tuples.TP] = None, loop: asyncio.events.AbstractEventLoop = None) → None[source]

Create new channel.

Parameters:
  • app (AppT[]) – The app that created this channel (app.channel())
  • key_type (Union[Type[ModelT], Type[bytes], Type[str], None]) – The Model used for keys in this channel.
  • value_type (Union[Type[ModelT], Type[bytes], Type[str], None]) – The Model used for values in this channel.
  • maxsize (Optional[int]) – The maximum number of messages this channel can hold. If exceeded any new put call will block until a message is removed from the channel.
  • loop (Optional[AbstractEventLoop]) – The asyncio event loop to use.
coroutine deliver(self, message: faust.types.tuples.Message) → None[source]
Return type:None
queue
Return type:ThrowableQueue
clone(*, is_iterator: bool = None, **kwargs) → faust.types.channels.ChannelT[source]
Return type:ChannelT[]
clone_using_queue(queue: asyncio.queues.Queue) → faust.types.channels.ChannelT[source]
Return type:ChannelT[]
stream(**kwargs) → faust.types.streams.StreamT[source]

Create stream reading from this channel.

Return type:StreamT[+T_co]
get_topic_name() → str[source]
Return type:str
as_future_message(key: Union[bytes, faust.types.core.ModelT, Any, None] = None, value: Union[bytes, faust.types.core.ModelT, Any] = None, partition: int = None, timestamp: float = None, key_serializer: Union[faust.types.codecs.CodecT, str, None] = None, value_serializer: Union[faust.types.codecs.CodecT, str, None] = None, callback: Callable[faust.types.tuples.FutureMessage, Union[None, Awaitable[None]]] = None) → faust.types.tuples.FutureMessage[source]
Return type:FutureMessage[]
prepare_key(key: Union[bytes, faust.types.core.ModelT, Any, None], key_serializer: Union[faust.types.codecs.CodecT, str, None]) → Any[source]
Return type:Any
prepare_value(value: Union[bytes, faust.types.core.ModelT, Any], value_serializer: Union[faust.types.codecs.CodecT, str, None]) → Any[source]
Return type:Any
empty() → bool[source]
Return type:bool
on_stop_iteration() → None[source]
Return type:None
coroutine declare(self) → None[source]
Return type:None
coroutine decode(self, message: faust.types.tuples.Message, *, propagate: bool = False) → faust.types.events.EventT[source]
Return type:EventT[]
derive(**kwargs) → faust.types.channels.ChannelT[source]
Return type:ChannelT[]
coroutine get(self, *, timeout: Union[datetime.timedelta, float, str] = None) → Any[source]
Return type:Any
maybe_declare[source]
coroutine on_decode_error(self, exc: Exception, message: faust.types.tuples.Message) → None[source]
Return type:None
coroutine on_key_decode_error(self, exc: Exception, message: faust.types.tuples.Message) → None[source]
Return type:None
coroutine on_value_decode_error(self, exc: Exception, message: faust.types.tuples.Message) → None[source]
Return type:None
coroutine publish_message(self, fut: faust.types.tuples.FutureMessage, wait: bool = True) → Awaitable[faust.types.tuples.RecordMetadata][source]
Return type:Awaitable[RecordMetadata]
coroutine put(self, value: Any) → None[source]
Return type:None
coroutine send(self, *, key: Union[bytes, faust.types.core.ModelT, Any, None] = None, value: Union[bytes, faust.types.core.ModelT, Any] = None, partition: int = None, timestamp: float = None, key_serializer: Union[faust.types.codecs.CodecT, str, None] = None, value_serializer: Union[faust.types.codecs.CodecT, str, None] = None, callback: Callable[faust.types.tuples.FutureMessage, Union[None, Awaitable[None]]] = None, force: bool = False) → Awaitable[faust.types.tuples.RecordMetadata][source]

Send message to channel.

Return type:Awaitable[RecordMetadata]
coroutine throw(self, exc: BaseException) → None[source]
Return type:None
subscriber_count
Return type:int
label
Return type:str
class faust.ChannelT(app: faust.types.channels.AppT, *, key_type: faust.types.channels.ModelArg = None, value_type: faust.types.channels.ModelArg = None, is_iterator: bool = False, queue: mode.utils.queues.ThrowableQueue = None, maxsize: int = None, root: Optional[faust.types.channels.ChannelT] = None, active_partitions: Set[faust.types.tuples.TP] = None, loop: asyncio.events.AbstractEventLoop = None) → None[source]
clone(*, is_iterator: bool = None, **kwargs) → faust.types.channels.ChannelT[source]
Return type:ChannelT[]
clone_using_queue(queue: asyncio.queues.Queue) → faust.types.channels.ChannelT[source]
Return type:ChannelT[]
stream(**kwargs) → faust.types.channels.StreamT[source]
Return type:StreamT
get_topic_name() → str[source]
Return type:str
as_future_message(key: Union[bytes, faust.types.core.ModelT, Any, None] = None, value: Union[bytes, faust.types.core.ModelT, Any] = None, partition: int = None, timestamp: float = None, key_serializer: Union[faust.types.codecs.CodecT, str, None] = None, value_serializer: Union[faust.types.codecs.CodecT, str, None] = None, callback: Callable[faust.types.tuples.FutureMessage, Union[None, Awaitable[None]]] = None) → faust.types.tuples.FutureMessage[source]
Return type:FutureMessage[]
prepare_key(key: Union[bytes, faust.types.core.ModelT, Any, None], key_serializer: Union[faust.types.codecs.CodecT, str, None]) → Any[source]
Return type:Any
prepare_value(value: Union[bytes, faust.types.core.ModelT, Any], value_serializer: Union[faust.types.codecs.CodecT, str, None]) → Any[source]
Return type:Any
empty() → bool[source]
Return type:bool
on_stop_iteration() → None[source]
Return type:None
derive(**kwargs) → faust.types.channels.ChannelT[source]
Return type:ChannelT[]
subscriber_count
Return type:int
queue
Return type:ThrowableQueue
coroutine declare(self) → None[source]
Return type:None
coroutine decode(self, message: faust.types.tuples.Message, *, propagate: bool = False) → faust.types.channels.EventT[source]
Return type:EventT
coroutine deliver(self, message: faust.types.tuples.Message) → None[source]
Return type:None
coroutine get(self, *, timeout: Union[datetime.timedelta, float, str] = None) → Any[source]
Return type:Any
maybe_declare[source]
coroutine on_decode_error(self, exc: Exception, message: faust.types.tuples.Message) → None[source]
Return type:None
coroutine on_key_decode_error(self, exc: Exception, message: faust.types.tuples.Message) → None[source]
Return type:None
coroutine on_value_decode_error(self, exc: Exception, message: faust.types.tuples.Message) → None[source]
Return type:None
coroutine publish_message(self, fut: faust.types.tuples.FutureMessage, wait: bool = True) → Awaitable[faust.types.tuples.RecordMetadata][source]
Return type:Awaitable[RecordMetadata]
coroutine put(self, value: Any) → None[source]
Return type:None
coroutine send(self, *, key: Union[bytes, faust.types.core.ModelT, Any, None] = None, value: Union[bytes, faust.types.core.ModelT, Any] = None, partition: int = None, timestamp: float = None, key_serializer: Union[faust.types.codecs.CodecT, str, None] = None, value_serializer: Union[faust.types.codecs.CodecT, str, None] = None, callback: Callable[faust.types.tuples.FutureMessage, Union[None, Awaitable[None]]] = None, force: bool = False) → Awaitable[faust.types.tuples.RecordMetadata][source]
Return type:Awaitable[RecordMetadata]
coroutine throw(self, exc: BaseException) → None[source]
Return type:None
class faust.Event(app: faust.types.app.AppT, key: Union[bytes, faust.types.core.ModelT, Any, None], value: Union[bytes, faust.types.core.ModelT, Any], message: faust.types.tuples.Message) → None[source]

An event received on a channel.

Notes

  • Events have a key and a value:

    event.key, event.value
    
  • They also have a reference to the original message (if available), such as a Kafka record:

    event.message.offset

  • Iteratiing over channels/topics yields Event:

    async for event in channel:

  • Iterating over a stream (that in turn iterate over channel) yields Event.value:

    async for value in channel.stream()  # value is event.value
        ...
    
  • If you only have a Stream object, you can also access underlying events by using Stream.events.

    For example:

    async for event in channel.stream.events():
        ...
    

    Also commonly used for finding the “current event” related to a value in the stream:

    stream = channel.stream()
    async for event in stream.events():
        event = stream.current_event
        message = event.message
        topic = event.message.topic
    

    You can retrieve the current event in a stream to:

    • Get access to the serialized key+value.
    • Get access to message properties like, what topic+partition the value was received on, or its offset.

    If you want access to both key and value, you should use stream.items() instead.

    async for key, value in stream.items():
        ...
    

    stream.current_event can also be accessed but you must take extreme care you are using the correct stream object. Methods such as .group_by(key) and .through(topic) returns cloned stream objects, so in the example:

    The best way to access the current_event in an agent is to use the contextvar:

    from faust import current_event
    
    @app.agent(topic)
    async def process(stream):
        async for value in stream:
            event = current_event()
    
coroutine forward(self, channel: Union[str, faust.types.channels.ChannelT], key: Union[bytes, faust.types.core.ModelT, Any, None] = <object object>, value: Union[bytes, faust.types.core.ModelT, Any] = <object object>, partition: int = None, timestamp: float = None, key_serializer: Union[faust.types.codecs.CodecT, str, None] = None, value_serializer: Union[faust.types.codecs.CodecT, str, None] = None, callback: Callable[faust.types.tuples.FutureMessage, Union[None, Awaitable[None]]] = None, force: bool = False) → Awaitable[faust.types.tuples.RecordMetadata][source]

Forward original message (will not be reserialized).

Return type:Awaitable[RecordMetadata]
coroutine send(self, channel: Union[str, faust.types.channels.ChannelT], key: Union[bytes, faust.types.core.ModelT, Any, None] = <object object>, value: Union[bytes, faust.types.core.ModelT, Any] = <object object>, partition: int = None, timestamp: float = None, key_serializer: Union[faust.types.codecs.CodecT, str, None] = None, value_serializer: Union[faust.types.codecs.CodecT, str, None] = None, callback: Callable[faust.types.tuples.FutureMessage, Union[None, Awaitable[None]]] = None, force: bool = False) → Awaitable[faust.types.tuples.RecordMetadata][source]

Send object to channel.

Return type:Awaitable[RecordMetadata]
ack() → bool[source]
Return type:bool
class faust.EventT(app: faust.types.events.AppT, key: Union[bytes, faust.types.core.ModelT, Any, None], value: Union[bytes, faust.types.core.ModelT, Any], message: faust.types.tuples.Message) → None[source]
app
key
value
message
acked
ack() → bool[source]
Return type:bool
coroutine forward(self, channel: Union[str, faust.types.events.ChannelT], key: Any = None, value: Any = None, partition: int = None, timestamp: float = None, key_serializer: Union[faust.types.codecs.CodecT, str, None] = None, value_serializer: Union[faust.types.codecs.CodecT, str, None] = None, callback: Callable[faust.types.tuples.FutureMessage, Union[None, Awaitable[None]]] = None, force: bool = False) → Awaitable[faust.types.tuples.RecordMetadata][source]
Return type:Awaitable[RecordMetadata]
coroutine send(self, channel: Union[str, faust.types.events.ChannelT], key: Union[bytes, faust.types.core.ModelT, Any, None] = None, value: Union[bytes, faust.types.core.ModelT, Any] = None, partition: int = None, timestamp: float = None, key_serializer: Union[faust.types.codecs.CodecT, str, None] = None, value_serializer: Union[faust.types.codecs.CodecT, str, None] = None, callback: Callable[faust.types.tuples.FutureMessage, Union[None, Awaitable[None]]] = None, force: bool = False) → Awaitable[faust.types.tuples.RecordMetadata][source]
Return type:Awaitable[RecordMetadata]
class faust.ModelOptions(*args, **kwargs)[source]
serializer = None
include_metadata = True
allow_blessed_key = False
isodates = False
decimals = False
coercions = None
fields = None

Flattened view of __annotations__ in MRO order.

Type:Index
fieldset = None

Set of required field names, for fast argument checking.

Type:Index
fieldpos = None

Positional argument index to field name. Used by Record.__init__ to map positional arguments to fields.

Type:Index
optionalset = None

Set of optional field names, for fast argument checking.

Type:Index
models = None

Mapping of fields that are ModelT

Type:Index
modelattrs = None
field_coerce = None

Mapping of fields that need to be coerced. Key is the name of the field, value is the coercion handler function.

Type:Index
defaults = None

Mapping of field names to default value.

initfield = None

Mapping of init field conversion callbacks.

clone_defaults() → faust.types.models.ModelOptions[source]
Return type:ModelOptions
class faust.Record → None[source]

Describes a model type that is a record (Mapping).

Examples

>>> class LogEvent(Record, serializer='json'):
...     severity: str
...     message: str
...     timestamp: float
...     optional_field: str = 'default value'
>>> event = LogEvent(
...     severity='error',
...     message='Broken pact',
...     timestamp=666.0,
... )
>>> event.severity
'error'
>>> serialized = event.dumps()
'{"severity": "error", "message": "Broken pact", "timestamp": 666.0}'
>>> restored = LogEvent.loads(serialized)
<LogEvent: severity='error', message='Broken pact', timestamp=666.0>
>>> # You can also subclass a Record to create a new record
>>> # with additional fields
>>> class RemoteLogEvent(LogEvent):
...     url: str
>>> # You can also refer to record fields and pass them around:
>>> LogEvent.severity
>>> <FieldDescriptor: LogEvent.severity (str)>
classmethod from_data(data: Mapping, *, preferred_type: Type[faust.types.models.ModelT] = None) → faust.models.record.Record[source]
Return type:Record
to_representation() → Mapping[str, Any][source]

Convert object to JSON serializable object.

Return type:Mapping[str, Any]
asdict() → Dict[str, Any][source]
Return type:Dict[str, Any]
class faust.Monitor(*, max_avg_history: int = 100, max_commit_latency_history: int = 30, max_send_latency_history: int = 30, messages_sent: int = 0, tables: MutableMapping[str, faust.sensors.monitor.TableState] = None, messages_active: int = 0, events_active: int = 0, messages_received_total: int = 0, messages_received_by_topic: Counter[str] = None, events_total: int = 0, events_by_stream: Counter[faust.types.streams.StreamT] = None, events_by_task: Counter[_asyncio.Task] = None, events_runtime: List[float] = None, commit_latency: List[float] = None, send_latency: List[float] = None, events_s: int = 0, messages_s: int = 0, events_runtime_avg: float = 0.0, topic_buffer_full: Counter[faust.types.topics.TopicT] = None, **kwargs) → None[source]

Default Faust Sensor.

This is the default sensor, recording statistics about events, etc.

max_avg_history = 0

Max number of total run time values to keep to build average.

max_commit_latency_history = 0

Max number of commit latency numbers to keep.

max_send_latency_history = 0

Max number of send latency numbers to keep.

tables = None

Mapping of tables

commit_latency = None

List of commit latency values

send_latency = None

List of send latency values

messages_active = 0

Number of messages currently being processed.

messages_received_total = 0

Number of messages processed in total.

messages_received_by_topic = None

Count of messages received by topic

messages_sent = 0

Number of messages sent in total.

messages_sent_by_topic = None

Number of messages sent by topic.

messages_s = 0

Number of messages being processed this second.

events_active = 0

Number of events currently being processed.

events_total = 0

Number of events processed in total.

events_by_task = None

Count of events processed by task

events_by_stream = None

Count of events processed by stream

events_s = 0

Number of events being processed this second.

events_runtime_avg = 0.0

Average event runtime over the last second.

events_runtime = None

List of run times used for averages

topic_buffer_full = None

Counter of times a topics buffer was full

metric_counts = None

Arbitrary counts added by apps

tp_committed_offsets = None

Last committed offsets by TopicPartition

tp_read_offsets = None

Last read offsets by TopicPartition

tp_end_offsets = None

Log end offsets by TopicPartition

logger = <Logger faust.sensors.monitor (WARNING)>
asdict() → Mapping[source]
Return type:Mapping[~KT, +VT_co]
on_message_in(tp: faust.types.tuples.TP, offset: int, message: faust.types.tuples.Message) → None[source]

Message received by a consumer.

Return type:None
on_stream_event_in(tp: faust.types.tuples.TP, offset: int, stream: faust.types.streams.StreamT, event: faust.types.events.EventT) → None[source]

Message sent to a stream as an event.

Return type:None
on_stream_event_out(tp: faust.types.tuples.TP, offset: int, stream: faust.types.streams.StreamT, event: faust.types.events.EventT) → None[source]

Event was acknowledged by stream.

Notes

Acknowledged means a stream finished processing the event, but given that multiple streams may be handling the same event, the message cannot be committed before all streams have processed it. When all streams have acknowledged the event, it will go through on_message_out() just before offsets are committed.

Return type:None
on_topic_buffer_full(topic: faust.types.topics.TopicT) → None[source]

Topic buffer full so conductor had to wait.

Return type:None
on_message_out(tp: faust.types.tuples.TP, offset: int, message: faust.types.tuples.Message) → None[source]

All streams finished processing message.

Return type:None
on_table_get(table: faust.types.tables.CollectionT, key: Any) → None[source]

Key retrieved from table.

Return type:None
on_table_set(table: faust.types.tables.CollectionT, key: Any, value: Any) → None[source]

Value set for key in table.

Return type:None
on_table_del(table: faust.types.tables.CollectionT, key: Any) → None[source]

Key deleted from table.

Return type:None
on_commit_initiated(consumer: faust.types.transports.ConsumerT) → Any[source]

Consumer is about to commit topic offset.

Return type:Any
on_commit_completed(consumer: faust.types.transports.ConsumerT, state: Any) → None[source]

Consumer finished committing topic offset.

Return type:None
on_send_initiated(producer: faust.types.transports.ProducerT, topic: str, keysize: int, valsize: int) → Any[source]

About to send a message.

Return type:Any
on_send_completed(producer: faust.types.transports.ProducerT, state: Any) → None[source]

Message successfully sent.

Return type:None
count(metric_name: str, count: int = 1) → None[source]
Return type:None
on_tp_commit(tp_offsets: MutableMapping[faust.types.tuples.TP, int]) → None[source]
Return type:None
track_tp_end_offset(tp: faust.types.tuples.TP, offset: int) → None[source]
Return type:None
class faust.Sensor(*, beacon: mode.utils.types.trees.NodeT = None, loop: asyncio.events.AbstractEventLoop = None) → None[source]

Base class for sensors.

This sensor does not do anything at all, but can be subclassed to create new monitors.

on_message_in(tp: faust.types.tuples.TP, offset: int, message: faust.types.tuples.Message) → None[source]

Message received by a consumer.

Return type:None
on_stream_event_in(tp: faust.types.tuples.TP, offset: int, stream: faust.types.streams.StreamT, event: faust.types.events.EventT) → None[source]

Message sent to a stream as an event.

Return type:None
on_stream_event_out(tp: faust.types.tuples.TP, offset: int, stream: faust.types.streams.StreamT, event: faust.types.events.EventT) → None[source]

Event was acknowledged by stream.

Notes

Acknowledged means a stream finished processing the event, but given that multiple streams may be handling the same event, the message cannot be committed before all streams have processed it. When all streams have acknowledged the event, it will go through on_message_out() just before offsets are committed.

Return type:None
on_message_out(tp: faust.types.tuples.TP, offset: int, message: faust.types.tuples.Message) → None[source]

All streams finished processing message.

Return type:None
on_topic_buffer_full(topic: faust.types.topics.TopicT) → None[source]

Topic buffer full so conductor had to wait.

Return type:None
on_table_get(table: faust.types.tables.CollectionT, key: Any) → None[source]

Key retrieved from table.

Return type:None
on_table_set(table: faust.types.tables.CollectionT, key: Any, value: Any) → None[source]

Value set for key in table.

Return type:None
on_table_del(table: faust.types.tables.CollectionT, key: Any) → None[source]

Key deleted from table.

Return type:None
on_commit_initiated(consumer: faust.types.transports.ConsumerT) → Any[source]

Consumer is about to commit topic offset.

Return type:Any
on_commit_completed(consumer: faust.types.transports.ConsumerT, state: Any) → None[source]

Consumer finished committing topic offset.

Return type:None
on_send_initiated(producer: faust.types.transports.ProducerT, topic: str, keysize: int, valsize: int) → Any[source]

About to send a message.

Return type:Any
on_send_completed(producer: faust.types.transports.ProducerT, state: Any) → None[source]

Message successfully sent.

Return type:None
logger = <Logger faust.sensors.base (WARNING)>
class faust.Codec(children: Tuple[faust.types.codecs.CodecT, ...] = None, **kwargs) → None[source]

Base class for codecs.

children = None

next steps in the recursive codec chain. x = pickle | binary returns codec with children set to (pickle, binary).

nodes = None

cached version of children including this codec as the first node. could use chain below, but seems premature so just copying the list.

kwargs = None

subclasses can support keyword arguments, the base implementation of clone() uses this to preserve keyword arguments in copies.

dumps(obj: Any) → bytes[source]

Encode object obj.

Return type:bytes
loads(s: bytes) → Any[source]

Decode object from string.

Return type:Any
clone(*children) → faust.types.codecs.CodecT[source]

Create a clone of this codec, with optional children added.

Return type:CodecT
class faust.Stream(channel: AsyncIterator[T_co], *, app: faust.types.app.AppT, processors: Iterable[Callable[T]] = None, combined: List[faust.types.streams.JoinableT] = None, on_start: Callable = None, join_strategy: faust.types.joins.JoinT = None, beacon: mode.utils.types.trees.NodeT = None, concurrency_index: int = None, prev: faust.types.streams.StreamT = None, active_partitions: Set[faust.types.tuples.TP] = None, enable_acks: bool = True, loop: asyncio.events.AbstractEventLoop = None) → None[source]

A stream: async iterator processing events in channels/topics.

logger = <Logger faust.streams (WARNING)>
mundane_level = 'debug'
get_active_stream() → faust.types.streams.StreamT[source]

Return the currently active stream.

A stream can be derived using Stream.group_by etc, so if this stream was used to create another derived stream, this function will return the stream being actively consumed from. E.g. in the example:

>>> @app.agent()
... async def agent(a):
..      a = a
...     b = a.group_by(Withdrawal.account_id)
...     c = b.through('backup_topic')
...     async for value in c:
...         ...

The return value of a.get_active_stream() would be c.

Notes

The chain of streams that leads to the active stream is decided by the _next attribute. To get to the active stream we just traverse this linked-list:

>>> def get_active_stream(self):
...     node = self
...     while node._next:
...         node = node._next
Return type:StreamT[+T_co]
get_root_stream() → faust.types.streams.StreamT[source]
Return type:StreamT[+T_co]
add_processor(processor: Callable[T]) → None[source]

Add processor callback executed whenever a new event is received.

Processor functions can be async or non-async, must accept a single argument, and should return the value, mutated or not.

For example a processor handling a stream of numbers may modify the value:

def double(value: int) -> int:
    return value * 2

stream.add_processor(double)
Return type:None
info() → Mapping[str, Any][source]

Return stream settings as a dictionary.

Return type:Mapping[str, Any]
clone(**kwargs) → faust.types.streams.StreamT[source]

Create a clone of this stream.

Notes

If the cloned stream is supposed to “supercede” this stream, like in group_by/through/etc., you should use _chain() instead so stream._next = cloned_stream is set and get_active_stream() returns the cloned stream.

Return type:StreamT[+T_co]
noack() → faust.types.streams.StreamT[source]
Return type:StreamT[+T_co]
events() → AsyncIterable[faust.types.events.EventT][source]

Iterate over the stream as events exclusively.

This means the stream must be iterating over a channel, or at least an iterable of event objects.

Return type:AsyncIterable[EventT[]]
enumerate(start: int = 0) → AsyncIterable[Tuple[int, T_co]][source]

Enumerate values received on this stream.

Unlike Python’s built-in enumerate, this works with async generators.

Return type:AsyncIterable[Tuple[int, +T_co]]
through(channel: Union[str, faust.types.channels.ChannelT]) → faust.types.streams.StreamT[source]

Forward values to in this stream to channel.

Send messages received on this stream to another channel, and return a new stream that consumes from that channel.

Notes

The messages are forwarded after any processors have been applied.

Example

topic = app.topic('foo')

@app.agent(topic)
async def mytask(stream):
    async for value in stream.through(app.topic('bar')):
        # value was first received in topic 'foo',
        # then forwarded and consumed from topic 'bar'
        print(value)
Return type:StreamT[+T_co]
echo(*channels) → faust.types.streams.StreamT[source]

Forward values to one or more channels.

Unlike through(), we don’t consume from these channels.

Return type:StreamT[+T_co]
group_by(key: Union[faust.types.models.FieldDescriptorT, Callable[T, Union[bytes, faust.types.core.ModelT, Any, None]]], *, name: str = None, topic: faust.types.topics.TopicT = None, partitions: int = None) → faust.types.streams.StreamT[source]

Create new stream that repartitions the stream using a new key.

Parameters:
  • key (Union[FieldDescriptorT, Callable[[~T], Union[bytes, ModelT, Any, None]]]) –

    The key argument decides how the new key is generated, it can be a field descriptor, a callable, or an async callable.

    Note: The name argument must be provided if the key
    argument is a callable.
  • name (Optional[str]) – Suffix to use for repartitioned topics. This argument is required if key is a callable.

Examples

Using a field descriptor to use a field in the event as the new key:

s = withdrawals_topic.stream()
# values in this stream are of type Withdrawal
async for event in s.group_by(Withdrawal.account_id):
    ...

Using an async callable to extract a new key:

s = withdrawals_topic.stream()

async def get_key(withdrawal):
    return await aiohttp.get(
        f'http://e.com/resolve_account/{withdrawal.account_id}')

async for event in s.group_by(get_key):
    ...

Using a regular callable to extract a new key:

s = withdrawals_topic.stream()

def get_key(withdrawal):
    return withdrawal.account_id.upper()

async for event in s.group_by(get_key):
    ...
Return type:StreamT[+T_co]
derive_topic(name: str, *, key_type: Union[Type[faust.types.models.ModelT], Type[bytes], Type[str]] = None, value_type: Union[Type[faust.types.models.ModelT], Type[bytes], Type[str]] = None, prefix: str = '', suffix: str = '') → faust.types.topics.TopicT[source]

Create Topic description derived from the K/V type of this stream.

Parameters:
  • name (str) – Topic name.
  • key_type (Union[Type[ModelT], Type[bytes], Type[str], None]) – Specific key type to use for this topic. If not set, the key type of this stream will be used.
  • value_type (Union[Type[ModelT], Type[bytes], Type[str], None]) – Specific value type to use for this topic. If not set, the value type of this stream will be used.
Raises:

ValueError – if the stream channel is not a topic.

Return type:

TopicT[]

combine(*nodes, **kwargs) → faust.types.streams.StreamT[source]
Return type:StreamT[+T_co]
contribute_to_stream(active: faust.types.streams.StreamT) → None[source]
Return type:None
join(*fields) → faust.types.streams.StreamT[source]
Return type:StreamT[+T_co]
left_join(*fields) → faust.types.streams.StreamT[source]
Return type:StreamT[+T_co]
inner_join(*fields) → faust.types.streams.StreamT[source]
Return type:StreamT[+T_co]
outer_join(*fields) → faust.types.streams.StreamT[source]
Return type:StreamT[+T_co]
coroutine on_merge(self, value: T = None) → Optional[T][source]
Return type:Optional[~T]
coroutine ack(self, event: faust.types.events.EventT) → bool[source]

Ack event.

This will decrease the reference count of the event message by one, and when the reference count reaches zero, the worker will commit the offset so that the message will not be seen by a worker again.

Parameters:event (EventT[]) – Event to ack.
Return type:bool
items() → AsyncIterator[Tuple[Union[bytes, faust.types.core.ModelT, Any, None], T_co]][source]

Iterate over the stream as key, value pairs.

Examples

@app.agent(topic)
async def mytask(stream):
    async for key, value in stream.items():
        print(key, value)
Return type:AsyncIterator[Tuple[Union[bytes, ModelT, Any, None], +T_co]]
coroutine on_start(self) → None[source]

Called every time before the service is started/restarted.

Return type:None
coroutine on_stop(self) → None[source]

Called every time before the service is stopped/restarted.

Return type:None
coroutine remove_from_stream(self, stream: faust.types.streams.StreamT) → None[source]
Return type:None
coroutine send(self, value: T_contra) → None[source]

Send value into stream locally (bypasses topic).

Return type:None
coroutine stop(self) → None[source]

Stop the service.

Return type:None
take(max_: int, within: Union[datetime.timedelta, float, str]) → AsyncIterable[Sequence[T_co]][source]

Buffer n values at a time and yield a list of buffered values.

Parameters:within (Union[timedelta, float, str]) – Timeout for when we give up waiting for another value, and process the values we have. Warning: If there’s no timeout (i.e. timeout=None), the agent is likely to stall and block buffered events for an unreasonable length of time(!).
Return type:AsyncIterable[Sequence[+T_co]]
coroutine throw(self, exc: BaseException) → None[source]
Return type:None
label

Label used for graphs. :rtype: str

shortlabel[source]
class faust.StreamT(channel: AsyncIterator[T_co] = None, *, app: faust.types.streams.AppT = None, processors: Iterable[Callable[T]] = None, combined: List[faust.types.streams.JoinableT] = None, on_start: Callable = None, join_strategy: faust.types.streams.JoinT = None, beacon: mode.utils.types.trees.NodeT = None, concurrency_index: int = None, prev: Optional[faust.types.streams.StreamT] = None, active_partitions: Set[faust.types.tuples.TP] = None, enable_acks: bool = True, loop: asyncio.events.AbstractEventLoop = None) → None[source]
outbox = None
join_strategy = None
task_owner = None
current_event = None
active_partitions = None
concurrency_index = None
enable_acks = True
get_active_stream() → faust.types.streams.StreamT[source]
Return type:StreamT[+T_co]
add_processor(processor: Callable[T]) → None[source]
Return type:None
info() → Mapping[str, Any][source]
Return type:Mapping[str, Any]
clone(**kwargs) → faust.types.streams.StreamT[source]
Return type:StreamT[+T_co]
enumerate(start: int = 0) → AsyncIterable[Tuple[int, T_co]][source]
Return type:AsyncIterable[Tuple[int, +T_co]]
through(channel: Union[str, faust.types.channels.ChannelT]) → faust.types.streams.StreamT[source]
Return type:StreamT[+T_co]
echo(*channels) → faust.types.streams.StreamT[source]
Return type:StreamT[+T_co]
group_by(key: Union[faust.types.models.FieldDescriptorT, Callable[T, Union[bytes, faust.types.core.ModelT, Any, None]]], *, name: str = None, topic: faust.types.topics.TopicT = None) → faust.types.streams.StreamT[source]
Return type:StreamT[+T_co]
derive_topic(name: str, *, key_type: Union[Type[faust.types.models.ModelT], Type[bytes], Type[str]] = None, value_type: Union[Type[faust.types.models.ModelT], Type[bytes], Type[str]] = None, prefix: str = '', suffix: str = '') → faust.types.topics.TopicT[source]
Return type:TopicT[]
coroutine ack(self, event: faust.types.events.EventT) → bool[source]
Return type:bool
coroutine events(self) → AsyncIterable[faust.types.events.EventT][source]
coroutine items(self) → AsyncIterator[Tuple[Union[bytes, faust.types.core.ModelT, Any, None], T_co]][source]
coroutine send(self, value: T_contra) → None[source]
Return type:None
coroutine take(self, max_: int, within: Union[datetime.timedelta, float, str]) → AsyncIterable[Sequence[T_co]][source]
coroutine throw(self, exc: BaseException) → None[source]
Return type:None
faust.current_event() → Optional[faust.types.events.EventT][source]

Return the event currently being processed, or None.

Return type:Optional[EventT[]]
class faust.SetTable(app: faust.types.app.AppT, *, name: str = None, default: Callable[Any] = None, store: Union[str, yarl.URL] = None, key_type: Union[Type[faust.types.models.ModelT], Type[bytes], Type[str]] = None, value_type: Union[Type[faust.types.models.ModelT], Type[bytes], Type[str]] = None, partitions: int = None, window: faust.types.windows.WindowT = None, changelog_topic: faust.types.topics.TopicT = None, help: str = None, on_recover: Callable[Awaitable[None]] = None, on_changelog_event: Callable[faust.types.events.EventT, Awaitable[None]] = None, recovery_buffer_size: int = 1000, standby_buffer_size: int = None, extra_topic_configs: Mapping[str, Any] = None, **kwargs) → None[source]
WindowWrapper

alias of SetWindowWrapper

logger = <Logger faust.tables.sets (WARNING)>
class faust.Table(app: faust.types.app.AppT, *, name: str = None, default: Callable[Any] = None, store: Union[str, yarl.URL] = None, key_type: Union[Type[faust.types.models.ModelT], Type[bytes], Type[str]] = None, value_type: Union[Type[faust.types.models.ModelT], Type[bytes], Type[str]] = None, partitions: int = None, window: faust.types.windows.WindowT = None, changelog_topic: faust.types.topics.TopicT = None, help: str = None, on_recover: Callable[Awaitable[None]] = None, on_changelog_event: Callable[faust.types.events.EventT, Awaitable[None]] = None, recovery_buffer_size: int = 1000, standby_buffer_size: int = None, extra_topic_configs: Mapping[str, Any] = None, **kwargs) → None[source]

Table (non-windowed).

class WindowWrapper(table: faust.types.tables.TableT, *, relative_to: Union[faust.types.tables.FieldDescriptorT, Callable[Optional[faust.types.events.EventT], Union[float, datetime.datetime]], datetime.datetime, float, None] = None, key_index: bool = False, key_index_table: faust.types.tables.TableT = None) → None

Windowed table wrapper.

A windowed table does not return concrete values when keys are accessed, instead WindowSet is returned so that the values can be further reduced to the wanted time period.

ValueType

alias of WindowSet

as_ansitable(title: str = '{table.name}', **kwargs) → str
Return type:str
clone(relative_to: Union[faust.types.tables.FieldDescriptorT, Callable[Optional[faust.types.events.EventT], Union[float, datetime.datetime]], datetime.datetime, float, None]) → faust.types.tables.WindowWrapperT
Return type:WindowWrapperT[]
get_relative_timestamp
Return type:Optional[Callable[[Optional[EventT[]]], Union[float, datetime]]]
get_timestamp(event: faust.types.events.EventT = None) → float
Return type:float
items(event: faust.types.events.EventT = None) → ItemsView
Return type:ItemsView[~KT, +VT_co]
key_index = False
key_index_table = None
keys() → KeysView
Return type:KeysView[~KT]
name
Return type:str
on_del_key(key: Any) → None
Return type:None
on_recover(fun: Callable[Awaitable[None]]) → Callable[Awaitable[None]]
Return type:Callable[[], Awaitable[None]]
on_set_key(key: Any, value: Any) → None
Return type:None
relative_to(ts: Union[faust.types.tables.FieldDescriptorT, Callable[Optional[faust.types.events.EventT], Union[float, datetime.datetime]], datetime.datetime, float, None]) → faust.types.tables.WindowWrapperT
Return type:WindowWrapperT[]
relative_to_field(field: faust.types.models.FieldDescriptorT) → faust.types.tables.WindowWrapperT
Return type:WindowWrapperT[]
relative_to_now() → faust.types.tables.WindowWrapperT
Return type:WindowWrapperT[]
relative_to_stream() → faust.types.tables.WindowWrapperT
Return type:WindowWrapperT[]
values(event: faust.types.events.EventT = None) → ValuesView
Return type:ValuesView[+VT_co]
using_window(window: faust.types.windows.WindowT, *, key_index: bool = False) → faust.types.tables.WindowWrapperT[source]
Return type:WindowWrapperT[]
hopping(size: Union[datetime.timedelta, float, str], step: Union[datetime.timedelta, float, str], expires: Union[datetime.timedelta, float, str] = None, key_index: bool = False) → faust.types.tables.WindowWrapperT[source]
Return type:WindowWrapperT[]
tumbling(size: Union[datetime.timedelta, float, str], expires: Union[datetime.timedelta, float, str] = None, key_index: bool = False) → faust.types.tables.WindowWrapperT[source]
Return type:WindowWrapperT[]
on_key_get(key: KT) → None[source]

Handle that key is being retrieved.

Return type:None
on_key_set(key: KT, value: VT) → None[source]

Handle that value for a key is being set.

Return type:None
on_key_del(key: KT) → None[source]

Handle that a key is deleted.

Return type:None
as_ansitable(title: str = '{table.name}', **kwargs) → str[source]
Return type:str
logger = <Logger faust.tables.table (WARNING)>
class faust.Topic(app: faust.types.app.AppT, *, topics: Sequence[str] = None, pattern: Union[str, Pattern[~AnyStr]] = None, key_type: Union[Type[faust.types.models.ModelT], Type[bytes], Type[str]] = None, value_type: Union[Type[faust.types.models.ModelT], Type[bytes], Type[str]] = None, is_iterator: bool = False, partitions: int = None, retention: Union[datetime.timedelta, float, str] = None, compacting: bool = None, deleting: bool = None, replicas: int = None, acks: bool = True, internal: bool = False, config: Mapping[str, Any] = None, queue: mode.utils.queues.ThrowableQueue = None, key_serializer: Union[faust.types.codecs.CodecT, str, None] = None, value_serializer: Union[faust.types.codecs.CodecT, str, None] = None, maxsize: int = None, root: faust.types.channels.ChannelT = None, active_partitions: Set[faust.types.tuples.TP] = None, allow_empty: bool = False, loop: asyncio.events.AbstractEventLoop = None) → None[source]

Define new topic description.

Parameters:
  • app (AppT[]) – App instance used to create this topic description.
  • topics (Optional[Sequence[str]]) – List of topic names.
  • partitions (Optional[int]) – Number of partitions for these topics. On declaration, topics are created using this. Note: If a message is produced before the topic is declared, and autoCreateTopics is enabled on the Kafka Server, the number of partitions used will be specified by the server configuration.
  • retention (Union[timedelta, float, str, None]) – Number of seconds (as float/timedelta) to keep messages in the topic before they can be expired by the server.
  • pattern (Union[str, Pattern[AnyStr], None]) – Regular expression evaluated to decide what topics to subscribe to. You cannot specify both topics and a pattern.
  • key_type (Union[Type[ModelT], Type[bytes], Type[str], None]) – How to deserialize keys for messages in this topic. Can be a faust.Model type, str, bytes, or None for “autodetect”
  • value_type (Union[Type[ModelT], Type[bytes], Type[str], None]) – How to deserialize values for messages in this topic. Can be a faust.Model type, str, bytes, or None for “autodetect”
  • active_partitions (Optional[Set[TP]]) – Set of faust.types.tuples.TP that this topic should be restricted to.
Raises:

TypeError – if both topics and pattern is provided.

pattern
Return type:Optional[Pattern[AnyStr]]
derive(**kwargs) → faust.types.channels.ChannelT[source]

Create new Topic derived from this topic.

Configuration will be copied from this topic, but any parameter overriden as a keyword argument.

See also

derive_topic(): for a list of supported keyword arguments.

Return type:ChannelT[]
derive_topic(*, topics: Sequence[str] = None, key_type: Union[Type[faust.types.models.ModelT], Type[bytes], Type[str]] = None, value_type: Union[Type[faust.types.models.ModelT], Type[bytes], Type[str]] = None, key_serializer: Union[faust.types.codecs.CodecT, str, None] = None, value_serializer: Union[faust.types.codecs.CodecT, str, None] = None, partitions: int = None, retention: Union[datetime.timedelta, float, str] = None, compacting: bool = None, deleting: bool = None, internal: bool = None, config: Mapping[str, Any] = None, prefix: str = '', suffix: str = '', **kwargs) → faust.types.topics.TopicT[source]
Return type:TopicT[]
get_topic_name() → str[source]
Return type:str
coroutine declare(self) → None[source]
Return type:None
coroutine decode(self, message: faust.types.tuples.Message, *, propagate: bool = False) → faust.types.events.EventT[source]
Return type:EventT[]
maybe_declare[source]
coroutine publish_message(self, fut: faust.types.tuples.FutureMessage, wait: bool = False) → Awaitable[faust.types.tuples.RecordMetadata][source]
Return type:Awaitable[RecordMetadata]
coroutine put(self, event: faust.types.events.EventT) → None[source]
Return type:None
coroutine send(self, *, key: Union[bytes, faust.types.core.ModelT, Any, None] = None, value: Union[bytes, faust.types.core.ModelT, Any] = None, partition: int = None, timestamp: float = None, key_serializer: Union[faust.types.codecs.CodecT, str, None] = None, value_serializer: Union[faust.types.codecs.CodecT, str, None] = None, callback: Callable[faust.types.tuples.FutureMessage, Union[None, Awaitable[None]]] = None, force: bool = False) → Awaitable[faust.types.tuples.RecordMetadata][source]

Send message to topic.

Return type:Awaitable[RecordMetadata]
prepare_key(key: Union[bytes, faust.types.core.ModelT, Any, None], key_serializer: Union[faust.types.codecs.CodecT, str, None]) → Any[source]
Return type:Any
prepare_value(value: Union[bytes, faust.types.core.ModelT, Any], value_serializer: Union[faust.types.codecs.CodecT, str, None]) → Any[source]
Return type:Any
on_stop_iteration() → None[source]
Return type:None
partitions
Return type:Optional[int]
class faust.TopicT(app: faust.types.topics.AppT, *, topics: Sequence[str] = None, pattern: Union[str, Pattern[~AnyStr]] = None, key_type: faust.types.topics.ModelArg = None, value_type: faust.types.topics.ModelArg = None, is_iterator: bool = False, partitions: int = None, retention: Union[datetime.timedelta, float, str] = None, compacting: bool = None, deleting: bool = None, replicas: int = None, acks: bool = True, internal: bool = False, config: Mapping[str, Any] = None, queue: mode.utils.queues.ThrowableQueue = None, key_serializer: Union[faust.types.codecs.CodecT, str, None] = None, value_serializer: Union[faust.types.codecs.CodecT, str, None] = None, maxsize: int = None, root: faust.types.channels.ChannelT = None, active_partitions: Set[faust.types.tuples.TP] = None, allow_empty: bool = False, loop: asyncio.events.AbstractEventLoop = None) → None[source]
topics = None

Iterable/Sequence of topic names to subscribe to.

retention = None

expiry time in seconds for messages in the topic.

Type:Topic retention setting
compacting = None

if the topic is a log of key/value pairs, the broker can delete old values for the same key.

Type:Flag that when enabled means the topic can be “compacted”
replicas = None

Number of replicas for topic.

config = None

Additional configuration as a mapping.

acks = None

Enable acks for this topic.

internal = None

it’s owned by us and we are allowed to create or delete the topic as necessary.

Type:Mark topic as internal
pattern

or instead of topics, a regular expression used to match topics we want to subscribe to. :rtype: Optional[Pattern[AnyStr]]

partitions
Return type:Optional[int]
derive(**kwargs) → faust.types.channels.ChannelT[source]
Return type:ChannelT[]
derive_topic(*, topics: Sequence[str] = None, key_type: faust.types.topics.ModelArg = None, value_type: faust.types.topics.ModelArg = None, partitions: int = None, retention: Union[datetime.timedelta, float, str] = None, compacting: bool = None, deleting: bool = None, internal: bool = False, config: Mapping[str, Any] = None, prefix: str = '', suffix: str = '', **kwargs) → faust.types.topics.TopicT[source]
Return type:TopicT[]
class faust.Settings(id: str, *, version: int = None, broker: Union[str, yarl.URL, List[yarl.URL]] = None, broker_client_id: str = None, broker_request_timeout: Union[datetime.timedelta, float, str] = None, broker_commit_every: int = None, broker_commit_interval: Union[datetime.timedelta, float, str] = None, broker_commit_livelock_soft_timeout: Union[datetime.timedelta, float, str] = None, broker_session_timeout: Union[datetime.timedelta, float, str] = None, broker_heartbeat_interval: Union[datetime.timedelta, float, str] = None, broker_check_crcs: bool = None, broker_max_poll_records: int = None, agent_supervisor: Union[_T, str] = None, store: Union[str, yarl.URL] = None, cache: Union[str, yarl.URL] = None, web: Union[str, yarl.URL] = None, web_enabled: bool = True, processing_guarantee: Union[str, faust.types.enums.ProcessingGuarantee] = None, timezone: datetime.tzinfo = None, autodiscover: Union[bool, Iterable[str], Callable[Iterable[str]]] = None, origin: str = None, canonical_url: Union[str, yarl.URL] = None, datadir: Union[pathlib.Path, str] = None, tabledir: Union[pathlib.Path, str] = None, key_serializer: Union[faust.types.codecs.CodecT, str, None] = None, value_serializer: Union[faust.types.codecs.CodecT, str, None] = None, logging_config: Dict = None, loghandlers: List[logging.Handler] = None, table_cleanup_interval: Union[datetime.timedelta, float, str] = None, table_standby_replicas: int = None, topic_replication_factor: int = None, topic_partitions: int = None, id_format: str = None, reply_to: str = None, reply_to_prefix: str = None, reply_create_topic: bool = None, reply_expires: Union[datetime.timedelta, float, str] = None, ssl_context: ssl.SSLContext = None, stream_buffer_maxsize: int = None, stream_wait_empty: bool = None, stream_ack_cancelled_tasks: bool = None, stream_ack_exceptions: bool = None, stream_publish_on_commit: bool = None, stream_recovery_delay: Union[datetime.timedelta, float, str] = None, producer_linger_ms: int = None, producer_max_batch_size: int = None, producer_acks: int = None, producer_max_request_size: int = None, producer_compression_type: str = None, producer_partitioner: Union[_T, str] = None, producer_request_timeout: Union[datetime.timedelta, float, str] = None, consumer_max_fetch_size: int = None, consumer_auto_offset_reset: str = None, web_bind: str = None, web_port: int = None, web_host: str = None, web_transport: Union[str, yarl.URL] = None, web_in_thread: bool = None, worker_redirect_stdouts: bool = None, worker_redirect_stdouts_level: Union[int, str] = None, Agent: Union[_T, str] = None, Stream: Union[_T, str] = None, Table: Union[_T, str] = None, SetTable: Union[_T, str] = None, TableManager: Union[_T, str] = None, Serializers: Union[_T, str] = None, Worker: Union[_T, str] = None, PartitionAssignor: Union[_T, str] = None, LeaderAssignor: Union[_T, str] = None, Router: Union[_T, str] = None, Topic: Union[_T, str] = None, HttpClient: Union[_T, str] = None, Monitor: Union[_T, str] = None, url: Union[str, yarl.URL] = None, **kwargs) → None[source]
classmethod setting_names() → Set[str][source]
Return type:Set[str]
id_format = '{id}-v{self.version}'
ssl_context = None
autodiscover = False
broker_client_id = 'faust-1.5.0b1'
timezone = datetime.timezone.utc
broker_commit_every = 10000
broker_check_crcs = True
key_serializer = 'raw'
value_serializer = 'json'
table_standby_replicas = 1
topic_replication_factor = 1
topic_partitions = 8
reply_create_topic = False
logging_config = None
stream_buffer_maxsize = 4096
stream_wait_empty = True
stream_ack_cancelled_tasks = False
stream_ack_exceptions = True
stream_publish_on_commit = False
producer_linger_ms = 0
producer_max_batch_size = 4096
producer_acks = -1
producer_max_request_size = 1000000
producer_compression_type = None
consumer_max_fetch_size = 4194304
consumer_auto_offset_reset = 'earliest'
web_bind = '0.0.0.0'
web_port = 6066
web_host = 'build-8589457-project-230058-faust'
web_in_thread = False
worker_redirect_stdouts = True
worker_redirect_stdouts_level = 'WARN'
reply_to_prefix = 'f-reply-'
name
Return type:str
id
Return type:str
origin
Return type:Optional[str]
version
Return type:int
broker
Return type:List[URL]
store
Return type:URL
web
Return type:URL
cache
Return type:URL
canonical_url
Return type:URL
datadir
Return type:Path
appdir
Return type:Path
find_old_versiondirs() → Iterable[pathlib.Path][source]
Return type:Iterable[Path]
tabledir
Return type:Path
processing_guarantee
Return type:ProcessingGuarantee
broker_request_timeout
Return type:float
broker_session_timeout
Return type:float
broker_heartbeat_interval
Return type:float
broker_commit_interval
Return type:float
broker_commit_livelock_soft_timeout
Return type:float
broker_max_poll_records
Return type:int
producer_partitioner
Return type:Optional[Callable[[Optional[bytes], Sequence[int], Sequence[int]], int]]
producer_request_timeout
Return type:float
table_cleanup_interval
Return type:float
reply_expires
Return type:float
stream_recovery_delay
Return type:float
agent_supervisor
Return type:Type[SupervisorStrategyT]
web_transport
Return type:URL
Agent
Return type:Type[AgentT[]]
Stream
Return type:Type[StreamT[+T_co]]
Table
Return type:Type[TableT[~KT, ~VT]]
SetTable
Return type:Type[TableT[~KT, ~VT]]
TableManager
Return type:Type[TableManagerT[]]
Serializers
Return type:Type[RegistryT]
Worker
Return type:Type[WorkerT]
PartitionAssignor
Return type:Type[PartitionAssignorT]
LeaderAssignor
Return type:Type[LeaderAssignorT[]]
Router
Return type:Type[RouterT]
Topic
Return type:Type[TopicT[]]
HttpClient
Return type:Type[ClientSession]
Monitor
Return type:Type[SensorT[]]
class faust.HoppingWindow(size: Union[datetime.timedelta, float, str], step: Union[datetime.timedelta, float, str], expires: Union[datetime.timedelta, float, str] = None) → None[source]

Hopping window type.

Fixed-size, overlapping windows.

ranges(timestamp: float) → List[Tuple[float, float]][source]
Return type:List[Tuple[float, float]]
stale(timestamp: float, latest_timestamp: float) → bool[source]
Return type:bool
current(timestamp: float) → Tuple[float, float][source]

The current WindowRange is the latest WindowRange for a given timestamp

Return type:Tuple[float, float]
delta(timestamp: float, d: Union[datetime.timedelta, float, str]) → Tuple[float, float][source]
Return type:Tuple[float, float]
earliest(timestamp: float) → Tuple[float, float][source]
Return type:Tuple[float, float]
class faust.TumblingWindow(size: Union[datetime.timedelta, float, str], expires: Union[datetime.timedelta, float, str] = None) → None[source]

Tumbling window type.

Fixed-size, non-overlapping, gap-less windows.

class faust.SlidingWindow(before: Union[datetime.timedelta, float, str], after: Union[datetime.timedelta, float, str], expires: Union[datetime.timedelta, float, str]) → None[source]

Sliding window type.

Fixed-size, overlapping windows that work on differences between record timestamps

ranges(timestamp: float) → List[Tuple[float, float]][source]

Return list of windows from timestamp.

Notes

SELECT * FROM s1, s2
WHERE
    s1.key = s2.key
AND
s1.ts - before <= s2.ts AND s2.ts <= s1.ts + after
Return type:List[Tuple[float, float]]
stale(timestamp: float, latest_timestamp: float) → bool[source]
Return type:bool
class faust.Window(*args, **kwargs)[source]
class faust.Worker(app: faust.types.app.AppT, *services, sensors: Iterable[faust.types.sensors.SensorT] = None, debug: bool = False, quiet: bool = False, loglevel: Union[str, int] = None, logfile: Union[str, IO] = None, stdout: IO = <_io.TextIOWrapper name='<stdout>' mode='w' encoding='UTF-8'>, stderr: IO = <_io.TextIOWrapper name='<stderr>' mode='w' encoding='UTF-8'>, blocking_timeout: float = 10.0, workdir: Union[pathlib.Path, str] = None, console_port: int = 50101, loop: asyncio.events.AbstractEventLoop = None, redirect_stdouts: bool = None, redirect_stdouts_level: int = None, logging_config: Dict = None, **kwargs) → None[source]

Worker.

Usage:

You can start a worker using:

  1. the faust worker program.

  2. instantiating Worker programmatically and calling execute_from_commandline():

    >>> worker = Worker(app)
    >>> worker.execute_from_commandline()
    
  3. or if you already have an event loop, calling await start, but in that case you are responsible for gracefully shutting down the event loop:

    async def start_worker(worker: Worker) -> None:
        await worker.start()
    
    def manage_loop():
        loop = asyncio.get_event_loop()
        worker = Worker(app, loop=loop)
        try:
            loop.run_until_complete(start_worker(worker)
        finally:
            worker.stop_and_shutdown_loop()
    
Parameters:
  • app (AppT[]) – The Faust app to start.
  • *services – Services to start with worker. This includes application instances to start.
  • sensors (Iterable[SensorT]) – List of sensors to include.
  • debug (bool) – Enables debugging mode [disabled by default].
  • quiet (bool) – Do not output anything to console [disabled by default].
  • loglevel (Union[str, int]) – Level to use for logging, can be string (one of: CRIT|ERROR|WARN|INFO|DEBUG), or integer.
  • logfile (Union[str, IO]) – Name of file or a stream to log to.
  • stdout (IO) – Standard out stream.
  • stderr (IO) – Standard err stream.
  • blocking_timeout (float) – When debug is enabled this sets the timeout for detecting that the event loop is blocked.
  • workdir (Union[str, Path]) – Custom working directory for the process that the worker will change into when started. This working directory change is permanent for the process, or until something else changes the working directory again.
  • loop (asyncio.AbstractEventLoop) – Custom event loop object.
logger = <Logger faust.worker (WARNING)>
app = None

The Faust app started by this worker.

sensors = None

Additional sensors to add to the Faust app.

workdir = None

Current working directory. Note that if passed as an argument to Worker, the worker will change to this directory when started.

spinner = None

Class that displays a terminal progress spinner (see progress).

on_init_dependencies() → Iterable[mode.types.services.ServiceT][source]

Callback to be used to add service dependencies.

Return type:Iterable[ServiceT[]]
change_workdir(path: pathlib.Path) → None[source]
Return type:None
autodiscover() → None[source]
Return type:None
coroutine on_execute(self) → None[source]
Return type:None
coroutine on_first_start(self) → None[source]

Called only the first time the service is started.

Return type:None
coroutine on_start(self) → None[source]

Called every time before the service is started/restarted.

Return type:None
coroutine on_startup_finished(self) → None[source]
Return type:None
on_worker_shutdown() → None[source]
Return type:None
on_setup_root_logger(logger: logging.Logger, level: int) → None[source]
Return type:None
faust.uuid() → str[source]
Return type:str
class faust.Service(*, beacon: mode.utils.types.trees.NodeT = None, loop: asyncio.events.AbstractEventLoop = None) → None[source]

An asyncio service that can be started/stopped/restarted.

Keyword Arguments:
 
abstract = False
class Diag(service: mode.types.services.ServiceT) → None

Service diagnostics.

This can be used to track what your service is doing. For example if your service is a Kafka consumer with a background thread that commits the offset every 30 seconds, you may want to see when this happens:

DIAG_COMMITTING = 'committing'

class Consumer(Service):

    @Service.task
    async def _background_commit(self) -> None:
        while not self.should_stop:
            await self.sleep(30.0)
            self.diag.set_flag(DIAG_COMITTING)
            try:
                await self._consumer.commit()
            finally:
                self.diag.unset_flag(DIAG_COMMITTING)

The above code is setting the flag manually, but you can also use a decorator to accomplish the same thing:

@Service.timer(30.0)
async def _background_commit(self) -> None:
    await self.commit()

@Service.transitions_with(DIAG_COMITTING)
async def commit(self) -> None:
    await self._consumer.commit()
set_flag(flag: str) → None
Return type:None
unset_flag(flag: str) → None
Return type:None
wait_for_shutdown = False

Set to True if .stop must wait for the shutdown flag to be set.

shutdown_timeout = 60.0

Time to wait for shutdown flag set before we give up.

restart_count = 0

Current number of times this service instance has been restarted.

mundane_level = 'info'

The log level for mundane info such as starting, stopping, etc. Set this to "debug" for less information.

classmethod from_awaitable(coro: Awaitable, *, name: str = None, **kwargs) → mode.types.services.ServiceT[source]
Return type:ServiceT[]
classmethod task(fun: Callable[Any, Awaitable[None]]) → mode.services.ServiceTask[source]

Decorator used to define a service background task.

Example

>>> class S(Service):
...
...     @Service.task
...     async def background_task(self):
...         while not self.should_stop:
...             await self.sleep(1.0)
...             print('Waking up')
Return type:ServiceTask
classmethod timer(interval: Union[datetime.timedelta, float, str]) → Callable[Callable[mode.types.services.ServiceT, Awaitable[None]], mode.services.ServiceTask][source]

A background timer that executes every n seconds.

Example

>>> class S(Service):
...
...     @Service.timer(1.0)
...     async def background_timer(self):
...         print('Waking up')
Return type:Callable[[Callable[[ServiceT[]], Awaitable[None]]], ServiceTask]
classmethod transitions_to(flag: str) → Callable[source]

Decorator that adds diagnostic flag while function is running.

Return type:Callable
add_dependency(service: mode.types.services.ServiceT) → mode.types.services.ServiceT[source]

Add dependency to other service.

The service will be started/stopped with this service.

Return type:ServiceT[]
add_context(context: ContextManager) → Any[source]
Return type:Any
add_future(coro: Awaitable) → _asyncio.Future[source]

Add relationship to asyncio.Future.

The future will be joined when this service is stopped.

Return type:Future
on_init() → None[source]
Return type:None
on_init_dependencies() → Iterable[mode.types.services.ServiceT][source]

Callback to be used to add service dependencies.

Return type:Iterable[ServiceT[]]
coroutine add_async_context(self, context: AsyncContextManager) → Any[source]
Return type:Any
coroutine add_runtime_dependency(self, service: mode.types.services.ServiceT) → mode.types.services.ServiceT[source]
Return type:ServiceT[]
coroutine crash(self, reason: BaseException) → None[source]

Crash the service and all child services.

Return type:None
coroutine join_services(self, services: Sequence[mode.types.services.ServiceT]) → None[source]
Return type:None
logger = <Logger mode.services (WARNING)>
coroutine maybe_start(self) → None[source]

Start the service, if it has not already been started.

Return type:None
coroutine restart(self) → None[source]

Restart this service.

Return type:None
service_reset() → None[source]
Return type:None
coroutine sleep(self, n: Union[datetime.timedelta, float, str]) → None[source]

Sleep for n seconds, or until service stopped.

Return type:None
coroutine start(self) → None[source]
Return type:None
coroutine stop(self) → None[source]

Stop the service.

Return type:None
coroutine transition_with(self, flag: str, fut: Awaitable, *args, **kwargs) → Any[source]
Return type:Any
coroutine wait(self, *coros, timeout: Union[datetime.timedelta, float, str] = None) → mode.services.WaitResult[source]

Wait for coroutines to complete, or until the service stops.

Return type:WaitResult
coroutine wait_first(self, *coros, timeout: Union[datetime.timedelta, float, str] = None) → mode.services.WaitResults[source]
Return type:WaitResults
coroutine wait_for_stopped(self, *coros, timeout: Union[datetime.timedelta, float, str] = None) → bool[source]
Return type:bool
coroutine wait_many(self, coros: Iterable[Union[Generator[[Any, None], Any], Awaitable, asyncio.locks.Event, mode.utils.locks.Event]], *, timeout: Union[datetime.timedelta, float, str] = None) → mode.services.WaitResult[source]
Return type:WaitResult
coroutine wait_until_stopped(self) → None[source]

Wait until the service is signalled to stop.

Return type:None
set_shutdown() → None[source]

Set the shutdown signal.

Notes

If wait_for_shutdown is set, stopping the service will wait for this flag to be set.

Return type:None
started

Was the service started? :rtype: bool

crashed
Return type:bool
should_stop

Should the service stop ASAP? :rtype: bool

state

Current service state - as a human readable string. :rtype: str

label

Label used for graphs. :rtype: str

shortlabel

Label used for logging. :rtype: str

beacon

Beacon used to track services in a dependency graph. :rtype: NodeT[~_T]

class faust.ServiceT(*, beacon: mode.utils.types.trees.NodeT = None, loop: asyncio.events.AbstractEventLoop = None) → None[source]

Abstract type for an asynchronous service that can be started/stopped.

See also

mode.Service.

wait_for_shutdown = False
restart_count = 0
supervisor = None
add_dependency(service: mode.types.services.ServiceT) → mode.types.services.ServiceT[source]
Return type:ServiceT[]
add_context(context: ContextManager) → Any[source]
Return type:Any
service_reset() → None[source]
Return type:None
set_shutdown() → None[source]
Return type:None
started
Return type:bool
crashed
Return type:bool
should_stop
Return type:bool
state
Return type:str
label
Return type:str
shortlabel
Return type:str
beacon
Return type:NodeT[~_T]
coroutine add_async_context(self, context: AsyncContextManager) → Any[source]
Return type:Any
coroutine add_runtime_dependency(self, service: mode.types.services.ServiceT) → mode.types.services.ServiceT[source]
Return type:ServiceT[]
coroutine crash(self, reason: BaseException) → None[source]
Return type:None
coroutine maybe_start(self) → None[source]
Return type:None
coroutine restart(self) → None[source]
Return type:None
coroutine start(self) → None[source]
Return type:None
coroutine stop(self) → None[source]
Return type:None
coroutine wait_until_stopped(self) → None[source]
Return type:None
loop
Return type:AbstractEventLoop