feat: massively expand functionality on assets and runs

[drake-nominal]

Overview

Make assets and runs way more powerful. Instead of needing to handle runs and asset objects, or even think about dataset objects, now users can work with mostly just assets. A typical ingestion flow would now look like:

asset = client.get_or_create_asset_by_properties(...)
asset.get_or_create_dataset("data_scope", ...)

dataset_file = asset.add_tabular_data("data_scope", "path/to.csv", ...)
dataset_file.poll_until_ingestion_completed()

run = asset.create_run("run name", start=dataset_file.start, end=dataset_file.end)
run.create_workbook(client.get_workbook_template("rid..."))

A future change I want to make is to allow users to pass a Run into add_tabular_data so that ingest will update the run bounds upon ingestion completion. I also want to allow users to poll_until_ingestion_completed() on both an Asset and Run-- also left as future work.

Another future change I would like to make is exposing a as_completed() variant for dataset files, and to also make it easier to retrieve dataset files for runs, assets (e.g. get_dataset_files("data_scope_name", start_time=..., end_time=...)).

Deprecations

• NominalClient.search_runs_by_asset => Asset.search_runs

Addditions to NominalClient

• Can now create a run with exactly one of {no asset, 1 asset, or many assets}. New keyword argument assets should be preferred over asset, with the former potentially deserving deprecation.

Additions to Asset

• add_data utilities that take in datascope name & parameters that would normally be passed to their equivalents in the Dataset class:
  • add_tabular_data
  • add_journal_json
  • add_mcap
  • add_ardupilot_dataflash
  • add_containerized
  • add_from_io
• promote: promote an implicitly created asset from a run into a full on asset
• create_run
• create_event
• create_workbook
• list_runs

Additions to Run

• add_data utilities that take in datascope name & parameters that would normally be passed to their equivalents in the Dataset class:
  • add_tabular_data
  • add_journal_json
  • add_mcap
  • add_ardupilot_dataflash
  • add_containerized
  • add_from_io
• get_or_create_dataset
• get_or_create_video
• create_event: targets all assets present on a run
• create_workbook
• get_dataset
• get_video
• get_connection
• unarchive