trait TopologyClientApi[T] extends AnyRef

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  1. abstract def approximateTimestamp: CantonTimestamp

    The approximate timestamp

    The approximate timestamp

    This is either the last observed sequencer timestamp OR the effective timestamp after we observed the time difference of (effective - sequencer = epsilon) to elapse

  2. abstract def awaitSnapshot(timestamp: CantonTimestamp)(implicit traceContext: TraceContext): Future[T]

    Waits until a snapshot is available

  3. abstract def awaitSnapshotUS(timestamp: CantonTimestamp)(implicit traceContext: TraceContext): FutureUnlessShutdown[T]

    Shutdown safe version of await snapshot

  4. abstract def awaitTimestamp(timestamp: CantonTimestamp, waitForEffectiveTime: Boolean)(implicit traceContext: TraceContext): Option[Future[Unit]]

    Returns an optional future which will complete when the timestamp has been observed

    Returns an optional future which will complete when the timestamp has been observed

    If the timestamp is already observed, we return None.

    Note that this function allows to wait for effective time (true) and sequenced time (false). If we wait for effective time, we wait until the topology snapshot for that given point in time is known. As we future date topology transactions (to avoid bottlenecks), this might be before we actually observed a sequencing timestamp.

  5. abstract def awaitTimestampUS(timestamp: CantonTimestamp, waitForEffectiveTime: Boolean)(implicit traceContext: TraceContext): Option[FutureUnlessShutdown[Unit]]
  6. abstract def currentSnapshotApproximation(implicit traceContext: TraceContext): T

    Our current snapshot approximation

    Our current snapshot approximation

    As topology transactions are future dated (to prevent sequential bottlenecks), we do have to "guess" the current state, as time is defined by the sequencer after we've sent the transaction. Therefore, this function will return the best snapshot approximation known.

  7. abstract def domainId: DomainId

    The domain this client applies to

  8. abstract def snapshot(timestamp: CantonTimestamp)(implicit traceContext: TraceContext): Future[T]

    Returns the topology information at a certain point in time

    Returns the topology information at a certain point in time

    Use this method if you are sure to be synchronized with the topology state updates. The method will block & wait for an update, but emit a warning if it is not available

  9. abstract def snapshotAvailable(timestamp: CantonTimestamp): Boolean

    Returns true if the topology information at the passed timestamp is already known

  10. abstract def topologyKnownUntilTimestamp: CantonTimestamp

    The most recently observed effective timestamp

    The most recently observed effective timestamp

    The effective timestamp is sequencer_time + epsilon(sequencer_time), where epsilon is given by the topology change delay time, defined using the domain parameters.

    This is the highest timestamp for which we can serve snapshots

  11. abstract def trySnapshot(timestamp: CantonTimestamp)(implicit traceContext: TraceContext): T

    Returns the topology information at a certain point in time

    Returns the topology information at a certain point in time

    Fails with an exception if the state is not yet known.

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  10. def headSnapshot(implicit traceContext: TraceContext): T

    Possibly future dated head snapshot

    Possibly future dated head snapshot

    As we future date topology transactions, the head snapshot is our latest knowledge of the topology state, but as it can be still future dated, we need to be careful when actually using it: the state might not yet be active, as the topology transactions are future dated. Therefore, do not act towards the sequencer using this snapshot, but use the currentSnapshotApproximation instead.

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