BlitzQ
API Reference

task

API reference for task.

Task definitions and enqueueing.

class BoundTask

A task with per-call options, created by :meth:Task.options.

__init__(task: Task[P, R], call: CallOptions) -> None

enqueue(args: P.args = (), kwargs: P.kwargs = {}) -> TaskHandle[R]

enqueue_many(items: Iterable[tuple[Any, ...]]) -> list[TaskHandle[R]]

Publish many calls with these options in one pipelined round-trip.

enqueue_many_sync(items: Iterable[tuple[Any, ...]]) -> list[TaskHandle[R]]

enqueue_sync(args: P.args = (), kwargs: P.kwargs = {}) -> TaskHandle[R]

class CallOptions

__init__(queue: str | None = None, eta: float | None = None, task_id: str | None = None, correlation_id: str | None = None, headers: Mapping[str, str] | None = None, timeout: float | None = None, priority: Priority | None = None) -> None

class ConfigurationError

Invalid configuration or API misuse.

class Envelope

The on-the-wire task message.

Encoded positionally (array_like) for compactness; new fields must be appended with defaults so older messages keep decoding.

class PublishRequest

__init__(queue: str, task_id: str, data: bytes, eta: float | None = None, record: bytes | None = None, record_ttl: int | None = None) -> None

class Queue

A BlitzQ application.

Queue holds configuration and the task registry, and provides client operations (enqueue, results, inspection, cancellation). The same object is imported by web processes, which only publish, and by workers started with blitzq worker module:attribute.

Parameters

  • name str — Default queue for tasks without an explicit queue or routing rule.
  • redis_url str | None — Redis connection URL (rediss:// for TLS). Defaults to the BLITZQ_REDIS_URL environment variable, then redis://localhost:6379/0.
  • mode Literal['fast', 'reliable'] — "reliable" (default; Redis Streams, at-least-once, crash recovery) or "fast" (Redis lists, at-most-once, lowest overhead).
  • broker Broker | None — A custom :class:~blitzq.broker.base.Broker instead of Redis.
  • store_results bool — Store final state and return values (can be overridden per task).
  • result_ttl int — Seconds to keep task records.
  • track_state bool — Also record queued/scheduled/running/retrying transitions. Costs one extra write per transition.
  • routes Routes — Task-name glob patterns to queue names, or a callable.
  • visibility_timeout float — Reliable mode: seconds after which an unacknowledged message whose worker stopped renewing its lease is redelivered.
  • max_deliveries int — Reliable mode: dead-letter a message after this many deliveries (protects against messages that crash workers).

__init__(name: str = 'default', redis_url: str | None = None, mode: Literal['fast', 'reliable'] = 'reliable', broker: Broker | None = None, namespace: str = 'blitzq', serializer: Serializer | None = None, store_results: bool = True, result_ttl: int = 24 * 3600, track_state: bool = False, routes: Routes = None, default_retries: int = 0, default_retry_policy: RetryPolicy | None = None, default_timeout: float | None = None, visibility_timeout: float = 60.0, max_deliveries: int = 5, dead_letter_max: int = 100000, revoke_ttl: int = 3600, redis_options: dict[str, Any] | None = None) -> None

add_sync_wrapper(wrapper: SyncWrapper) -> None

Wrap every sync-task call inside its executor thread.

wrapper(call) must invoke call() and return its result. Used by integrations that need thread-local setup, such as Django connection management or a Flask application context.

cancel(task_id: str) -> bool

Cancel a task.

Returns True when the task was still scheduled (delayed or waiting for a retry) and has been removed - cancellation is then certain. Otherwise a revocation is recorded and False is returned: workers skip the task if they receive it after their next revocation sync (about one second) and cancel it if it is a running async task. Running thread/process tasks cannot be interrupted, and a task that already finished is unaffected.

cancel_sync(task_id: str) -> bool

close() -> None

Close async broker connections. Safe to call more than once.

close_sync() -> None

Close connections used by the synchronous API and stop its thread.

connect() -> None

Eagerly connect the async broker (optional; connections are lazy).

dead_letters(limit: int = 100, offset: int = 0) -> list[DeadLetter]

get_result(task_id: str, timeout: float | None = None) -> Any

Wait for a task's final state and return its result.

Waits on the broker's push notification when it has one (Redis: pub/sub on the task's record channel), falling back to a coarse poll otherwise. Requires result storage for the task. Raises TaskFailed for failed, dead-lettered or cancelled tasks and ResultTimeout after timeout seconds (None waits indefinitely).

get_result_sync(task_id: str, timeout: float | None = None) -> Any

inspect(task_id: str) -> TaskInfo | None

Everything known about a task, or None.

None means the task is queued or running without state tracking, its record expired, or the id is unknown.

inspect_sync(task_id: str) -> TaskInfo | None

new_task_id() -> str

on_shutdown(fn: Hook) -> Hook

Register a worker/scheduler shutdown hook (sync or async).

on_startup(fn: Hook) -> Hook

Register a worker/scheduler startup hook (sync or async).

periodic(schedule: Schedule | str | float | timedelta, tz: str | None = None, args: Sequence[Any] = (), kwargs: dict[str, Any] | None = None, missed: MissedPolicy = 'run_once', name: str | None = None, queue: str | None = None, task_options: Any = {}) -> Callable[[Callable[..., Any]], Task[Any, Any]]

Register a periodic task (dispatched by blitzq scheduler).

schedule is a cron string ("*/5 * * * *", evaluated in tz), an interval in seconds or a timedelta, or a :class:Schedule. missed controls what happens to occurrences missed while no scheduler was running: "run_once" dispatches only the latest, "run_all" dispatches each (up to 100), "skip" dispatches none.

purge(queue: str | None = None) -> int

Delete waiting messages from queue (default queue if omitted).

queue_stats(queues: Sequence[str] | None = None) -> list[QueueStats]

retry(task_id: str) -> bool

Re-enqueue a dead-lettered task with a fresh attempt budget.

Returns False if no dead letter with this id exists.

retry_sync(task_id: str) -> bool

send(task_name: str, args: Sequence[Any] = (), kwargs: dict[str, Any] | None = None, options: Any = {}) -> TaskHandle[Any]

Enqueue a task by name, without importing its code (producer-only apps).

send_sync(task_name: str, args: Sequence[Any] = (), kwargs: dict[str, Any] | None = None, options: Any = {}) -> TaskHandle[Any]

status(task_id: str) -> TaskState | None

status_sync(task_id: str) -> TaskState | None

task(fn: Callable[..., Any] | None = None, name: str | None = None, queue: str | None = None, retries: int | None = None, retry_policy: RetryPolicy | None = None, timeout: float | None = None, executor: Executor | None = None, store_result: bool | None = None, dead_letter: bool = True, priority: Priority = 'normal', rate_limit: RateLimit | str | None = None) -> Any

Register a task.

retries is the number of retries after the first attempt. executor defaults to "async" for coroutine functions and "thread" for regular functions; use "process" for CPU-bound functions (they must be importable module-level functions). dead_letter=False records terminal failures as failed instead of moving them to the dead-letter store.

priority ("high"/"normal"/"low") is this task's default priority within its queue; override per call with task.options(priority=...). Priority levels are physically separate broker queues that every worker checks in order (high, then normal, then low) while sharing the queue's overall concurrency

  • not a separate queue you need to remember to subscribe a worker to. See docs/architecture.md#task-priority.

rate_limit caps how often this task starts execution, shared across every worker (a Redis-backed token bucket, not a per-process counter): "10/s", "100/m" or "1000/hour", or a :class:~blitzq.RateLimit. A task over its limit is not executed and not counted as a retry; it is rescheduled for when a slot should be free. See docs/architecture.md#rate-limiting.

class RateLimit

A cap of count task starts per period_seconds, enforced globally.

The bucket holds up to count tokens (one burst's worth) and refills continuously at count / period_seconds tokens/second, so a limit of "100/m" allows a burst of 100 immediately after being idle, then settles to roughly one every 0.6s - it does not release exactly 100 once a minute.

__init__(count: float, period_seconds: float) -> None

parse(spec: str) -> RateLimit

Parse "100", "100/s", "100/m" or "100/hour".

class RetryPolicy

Exponential backoff with optional jitter.

The delay before retry n (n = 1 for the first retry) is min(max_delay, initial_delay * backoff ** (n - 1)). With jitter enabled the delay is drawn uniformly from [delay / 2, delay] ("equal jitter"), which spreads retries of simultaneously failing tasks while keeping a guaranteed minimum wait.

retry_on lists exception types that trigger an automatic retry; dont_retry_on takes precedence and marks exceptions as permanent failures. An explicit :class:~blitzq.Retry raised by the task is always honoured while attempts remain.

__init__(initial_delay: float = 1.0, max_delay: float = 300.0, backoff: float = 2.0, jitter: bool = True, retry_on: tuple[type[BaseException], ...] = (Exception,), dont_retry_on: tuple[type[BaseException], ...] = ()) -> None

compute_delay(retry_number: int, rng: random.Random | None = None) -> float

Delay in seconds before retry number retry_number (1-based).

is_retryable(exc: BaseException) -> bool

class Task

A function registered with a :class:~blitzq.Queue.

Calling the object runs the function directly in the current process. enqueue publishes it for a worker. For async def functions R is the awaited return type.

__init__(app: Queue, fn: Callable[P, Any], options: TaskOptions) -> None

enqueue(args: P.args = (), kwargs: P.kwargs = {}) -> TaskHandle[R]

Publish the task. Non-blocking for the event loop; returns once Redis accepted it.

enqueue_many(items: Iterable[tuple[Any, ...]]) -> list[TaskHandle[R]]

Publish many calls in one pipelined round-trip.

Each item is a tuple of positional arguments.

enqueue_many_sync(items: Iterable[tuple[Any, ...]]) -> list[TaskHandle[R]]

enqueue_sync(args: P.args = (), kwargs: P.kwargs = {}) -> TaskHandle[R]

Blocking variant of :meth:enqueue for synchronous code.

options(queue: str | None = None, delay: float | timedelta | None = None, eta: datetime | float | None = None, task_id: str | None = None, correlation_id: str | None = None, headers: Mapping[str, str] | None = None, timeout: float | None = None, priority: Priority | None = None) -> BoundTask[P, R]

Return a view of this task with per-call options applied.

delay (seconds or timedelta) and eta (aware datetime or epoch seconds) schedule the task for later. task_id sets an explicit id; enqueueing the same id twice creates two messages unless the first is still scheduled, in which case its schedule entry is replaced. priority ("high"/"normal"/"low") reorders this call within its queue's shared concurrency budget; see the priority parameter of @queue.task for how workers pick it up.

class TaskHandle

Reference to an enqueued task.

Async methods (result, info, status, cancel) must be awaited inside an event loop; *_sync variants block the calling thread and must not be used inside a running event loop.

__init__(task_id: str, app: Queue, queue: str) -> None

cancel() -> bool

cancel_sync() -> bool

info() -> TaskInfo | None

result(timeout: float | None = None) -> R

Wait for the task to finish and return its result.

Raises :class:~blitzq.exceptions.TaskFailed if it failed, was dead-lettered or cancelled, and :class:~blitzq.exceptions.ResultTimeout if no final state is visible within timeout seconds.

result_sync(timeout: float | None = None) -> R

status() -> TaskState | None

status_sync() -> TaskState | None

class TaskInfo

A snapshot of what BlitzQ knows about a task.

Records are written by producers (queued/scheduled when state tracking is enabled) and by workers (running when tracking is enabled, and the final state when results are stored). Readers may observe a slightly stale state during concurrent transitions; see docs/delivery_guarantees.md.

class TaskOptions

__init__(name: str, queue: str | None, max_attempts: int, retry_policy: RetryPolicy, timeout: float | None, executor: Executor, store_result: bool, dead_letter: bool, priority: Priority, rate_limit: RateLimit | None) -> None

class TaskState

current_task() -> TaskContext | None

Return the context of the task being executed, or None outside a task.

new_task_id() -> str

On this page

class BoundTask__init__(task: Task[P, R], call: CallOptions) -> Noneenqueue(args: P.args = (), kwargs: P.kwargs = {}) -> TaskHandle[R]enqueue_many(items: Iterable[tuple[Any, ...]]) -> list[TaskHandle[R]]enqueue_many_sync(items: Iterable[tuple[Any, ...]]) -> list[TaskHandle[R]]enqueue_sync(args: P.args = (), kwargs: P.kwargs = {}) -> TaskHandle[R]class CallOptions__init__(queue: str | None = None, eta: float | None = None, task_id: str | None = None, correlation_id: str | None = None, headers: Mapping[str, str] | None = None, timeout: float | None = None, priority: Priority | None = None) -> Noneclass ConfigurationErrorclass Envelopeclass PublishRequest__init__(queue: str, task_id: str, data: bytes, eta: float | None = None, record: bytes | None = None, record_ttl: int | None = None) -> Noneclass Queue__init__(name: str = 'default', redis_url: str | None = None, mode: Literal['fast', 'reliable'] = 'reliable', broker: Broker | None = None, namespace: str = 'blitzq', serializer: Serializer | None = None, store_results: bool = True, result_ttl: int = 24 * 3600, track_state: bool = False, routes: Routes = None, default_retries: int = 0, default_retry_policy: RetryPolicy | None = None, default_timeout: float | None = None, visibility_timeout: float = 60.0, max_deliveries: int = 5, dead_letter_max: int = 100000, revoke_ttl: int = 3600, redis_options: dict[str, Any] | None = None) -> Noneadd_sync_wrapper(wrapper: SyncWrapper) -> Nonecancel(task_id: str) -> boolcancel_sync(task_id: str) -> boolclose() -> Noneclose_sync() -> Noneconnect() -> Nonedead_letters(limit: int = 100, offset: int = 0) -> list[DeadLetter]get_result(task_id: str, timeout: float | None = None) -> Anyget_result_sync(task_id: str, timeout: float | None = None) -> Anyinspect(task_id: str) -> TaskInfo | Noneinspect_sync(task_id: str) -> TaskInfo | Nonenew_task_id() -> stron_shutdown(fn: Hook) -> Hookon_startup(fn: Hook) -> Hookperiodic(schedule: Schedule | str | float | timedelta, tz: str | None = None, args: Sequence[Any] = (), kwargs: dict[str, Any] | None = None, missed: MissedPolicy = 'run_once', name: str | None = None, queue: str | None = None, task_options: Any = {}) -> Callable[[Callable[..., Any]], Task[Any, Any]]purge(queue: str | None = None) -> intqueue_stats(queues: Sequence[str] | None = None) -> list[QueueStats]retry(task_id: str) -> boolretry_sync(task_id: str) -> boolsend(task_name: str, args: Sequence[Any] = (), kwargs: dict[str, Any] | None = None, options: Any = {}) -> TaskHandle[Any]send_sync(task_name: str, args: Sequence[Any] = (), kwargs: dict[str, Any] | None = None, options: Any = {}) -> TaskHandle[Any]status(task_id: str) -> TaskState | Nonestatus_sync(task_id: str) -> TaskState | Nonetask(fn: Callable[..., Any] | None = None, name: str | None = None, queue: str | None = None, retries: int | None = None, retry_policy: RetryPolicy | None = None, timeout: float | None = None, executor: Executor | None = None, store_result: bool | None = None, dead_letter: bool = True, priority: Priority = 'normal', rate_limit: RateLimit | str | None = None) -> Anyclass RateLimit__init__(count: float, period_seconds: float) -> Noneparse(spec: str) -> RateLimitclass RetryPolicy__init__(initial_delay: float = 1.0, max_delay: float = 300.0, backoff: float = 2.0, jitter: bool = True, retry_on: tuple[type[BaseException], ...] = (Exception,), dont_retry_on: tuple[type[BaseException], ...] = ()) -> Nonecompute_delay(retry_number: int, rng: random.Random | None = None) -> floatis_retryable(exc: BaseException) -> boolclass Task__init__(app: Queue, fn: Callable[P, Any], options: TaskOptions) -> Noneenqueue(args: P.args = (), kwargs: P.kwargs = {}) -> TaskHandle[R]enqueue_many(items: Iterable[tuple[Any, ...]]) -> list[TaskHandle[R]]enqueue_many_sync(items: Iterable[tuple[Any, ...]]) -> list[TaskHandle[R]]enqueue_sync(args: P.args = (), kwargs: P.kwargs = {}) -> TaskHandle[R]options(queue: str | None = None, delay: float | timedelta | None = None, eta: datetime | float | None = None, task_id: str | None = None, correlation_id: str | None = None, headers: Mapping[str, str] | None = None, timeout: float | None = None, priority: Priority | None = None) -> BoundTask[P, R]class TaskHandle__init__(task_id: str, app: Queue, queue: str) -> Nonecancel() -> boolcancel_sync() -> boolinfo() -> TaskInfo | Noneresult(timeout: float | None = None) -> Rresult_sync(timeout: float | None = None) -> Rstatus() -> TaskState | Nonestatus_sync() -> TaskState | Noneclass TaskInfoclass TaskOptions__init__(name: str, queue: str | None, max_attempts: int, retry_policy: RetryPolicy, timeout: float | None, executor: Executor, store_result: bool, dead_letter: bool, priority: Priority, rate_limit: RateLimit | None) -> Noneclass TaskStatecurrent_task() -> TaskContext | Nonenew_task_id() -> str