roboto.domain.platform_events.events

The created dataset.

Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].

The applied metadata/tag delta, served to conditions as the changed and tag roots.

The dataset whose metadata changed.

Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].

The tagged dataset.

Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].

Tags added by the mutation, served to conditions as the tag root.

The created event, an EventRecord.

Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].

Dataset containing the ingested file.

The ingested file.

The file’s version when the event was published; a newer version may exist by the time a trigger evaluates. Versions number revisions of the file record, which a metadata or tag edit advances just as an overwrite of the file’s contents does. None on events published before the payload carried this field.

Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].

Upload transaction the file arrived in, when known.

The applied metadata/tag delta, served to conditions as the changed and tag roots.

Dataset containing the updated file.

The file whose metadata changed.

The file’s version when the event was published; a newer version may exist by the time a trigger evaluates. Versions number revisions of the file record, which a metadata or tag edit advances just as an overwrite of the file’s contents does. None on events published before the payload carried this field.

Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].

Dataset the file was uploaded to.

The uploaded file.

The file’s version when the event was published; a newer version may exist by the time a trigger evaluates. Versions number revisions of the file record, which a metadata or tag edit advances just as an overwrite of the file’s contents does. None on events published before the payload carried this field.

Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].

Upload transaction the file arrived in, when the upload used one.

Name of the invoked action. Unique within action_owner_id’s org.

Org that owns the invoked action.

The completed invocation.

Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].

Terminal status the invocation reached.

Name of the invoked action. Unique within action_owner_id’s org.

Org that owns the invoked action.

The failed invocation.

Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].

Terminal status the invocation reached (Failed or Deadly).

The per-type payload. Its model must be the one registered for type in the default catalog; a mismatch is rejected at validation time.

Producer-vended event id, unique within source; deterministic where possible (e.g. evt:{invocation_id}:completed).

Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].

Organization in which the event occurred and whose triggers see it.

Version of the envelope + payload schema. Bumped only for breaking changes.

The org and the deployment the event happened in, as built by platform_event_source().

The entity the event is about, as a roboto:// URI (roboto://file/fl_1a2b).

Computed from data by the event type’s catalog descriptor rather than stored, so it cannot disagree with the payload, and serialized like a declared field.

subject as a parsed RobotoUri.

When the event occurred.

Which kind of event this is. Dictates the concrete model of data.

A dataset was created.

A dataset’s metadata or tags changed.

One or more tags were added to a dataset.

An event, the annotation marking a span of time on your data, was created.

A file finished ingestion (post-processing) and its topics are available.

A file’s metadata or tags changed.

A file finished uploading to a dataset.

An action invocation reached a successful terminal status.

An action invocation reached a failed terminal status (Failed or Deadly).

A trigger’s own schedule reached one of its minutes. Not subscribable: a trigger fires on a schedule by declaring a Schedule source, and the scheduler delivers this occurrence to that trigger alone.

Every ingestable file in a complete session is ingested. Fires again, as a new occurrence, each time the session’s ingestable files change and are all ingested again.

An upload transaction to a dataset completed (all of its files uploaded).

This type as a CloudEvents type attribute: ai.roboto.file.uploaded.

Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].

The scheduled minute (UTC) this occurrence stands for.

The trigger whose schedule fired.

Which announcement this is for the session, starting at 1.

Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].

The session whose ingestable files are all ingested.

Dataset the upload targeted.

Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].

The completed upload transaction.

Public API host of the emitting deployment, such as api.roboto.ai. Without one, the result is the relative reference /v1/orgs/{org_id}.

Organization whose events carry this source.