Prepare transfer artifacts from a local instance to a cloud instance

!lamin settings set auto-connect false

import lamindb as ln
import bionty as bt
import wetlab as wl
import pandas as pd

ln.setup.init(storage="./test-transfer-to-cloud", schema="bionty,wetlab,findrefs")
ln.setup.settings.auto_connect = False

artifact = ln.Artifact.from_df(pd.DataFrame({'a': [1, 2, 3]}), description='test-transfer-to-cloud')
artifact.save()

features = bt.CellMarker.from_values(["PD1", "CD21"], field=bt.CellMarker.name, organism="human")
ln.save(features)
artifact.features.add_feature_set(ln.FeatureSet(features), slot="var")

organism = bt.Organism.from_source(name="human")
organism.save()
artifact.labels.add(organism)

experiment = wl.Experiment(name="experiment-test-transfer-to-cloud")
experiment.save()

artifact.experiments.add(experiment)

artifact.describe()

! no run & transform got linked, call `ln.track()` & re-run

Artifact(uid='hVyrgvRCIq22hjOh0000', is_latest=True, description='test-transfer-to-cloud', suffix='.parquet', type='dataset', size=1654, hash='NewQHrGVKSMXHBtisga_DA', _hash_type='md5', _accessor='DataFrame', visibility=1, _key_is_virtual=True, created_at=2024-10-25 17:09:56 UTC)
  Provenance
    .storage = '/home/runner/work/lamindb/lamindb/docs/storage/test-transfer-to-cloud'
    .created_by = 'testuser1'
  Labels
    .organisms = 'human'
    .experiments = 'experiment-test-transfer-to-cloud'
  Feature sets
    'var' = 'PD1', 'CD21'

assert artifact.features["var"].count() == 2