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", modules="bionty,wetlab")
ln.setup.settings.auto_connect = False

→ initialized lamindb: testuser1/test-transfer-to-cloud

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

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

artifact.describe()

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

Artifact .parquet/DataFrame
├── General
│   ├── .uid = 'eju4fdhwcvisNTkE0000'
│   ├── .size = 1562
│   ├── .hash = 'poQJlkY6NKUW_FTujwevGQ'
│   ├── .path = 
│   │   /home/runner/work/lamindb/lamindb/docs/storage/test-transfer-to-cloud/.lamindb/eju4fdhwcvisNTkE0000.parquet
│   ├── .created_by = testuser1 (Test User1)
│   └── .created_at = 2025-01-17 14:21:29
├── Dataset features/._schemas_m2m
│   └── var • 2                     [bionty.CellMarker]                                                 
│       PD1                         num                                                                 
│       CD21                        num                                                                 
└── Labels
    └── .organisms                  bionty.Organism            human                                    
        .experiments                wetlab.Experiment          experiment-test-transfer-to-cloud        

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