Pycroscopy

pip install pycroscopy dataerai-sdk

import numpy as np
import sidpy

from dataerai import DataeraiClient

# A pycroscopy result you want to preserve.
cleaned = sidpy.Dataset.from_array(np.random.random((64, 64)))
cleaned.title = "Cleaned AFM image"
cleaned.data_type = "image"

path = "cleaned_afm.npy"
np.save(path, np.asarray(cleaned))

with DataeraiClient(binary_path="/usr/local/bin/dataerai") as client:
    # 1. Upload the processed output as a new asset.
    result = client.upload(
        path,
        title="Cleaned AFM image",
        owner_type="project",
        owner_id="proj-abc123",
        tags=["afm", "clean_svd"],
        metadata={
            "workflow": "clean_svd",
            "shape": list(cleaned.shape),
            "dtype": str(cleaned.dtype),
        },
    )

    # 2. Link the new asset back to the raw measurement it was derived from.
    relationship = client.create_relationship(
        result.asset_id,
        "raw-asset-id",
        "analysis_of",
        analysis_mode="non_destructive",
        qualifiers={"workflow": "clean_svd"},
    )

print("asset_id:", result.asset_id)
print("content_id:", result.content_id)
print("relationship:", relationship.type)