Asm Schema Overview

{
  "$asm.manifest": {
    "vocabulary": ["http://purl.allotrope.org/voc/afo/REC/2023/09/"],
    "contexts": ["http://purl.allotrope.org/json-ld/afo-context-REC-2023-09.jsonld"]
  },
  "<technique>-aggregate-document": {
    "device-system-document": { ... },
    "<technique>-document": [
      {
        "measurement-aggregate-document": {
          "measurement-document": [ ... ]
        }
      }
    ]
  }
}

absorbance, automated-reactors, balance, bga, binding-affinity, bulk-density,
cell-counting, cell-culture-analyzer, chromatography, code-reader, conductance,
conductivity, disintegration, dsc, dvs, electronic-lab-notebook,
electronic-spectrometry, electrophoresis, flow-cytometry, fluorescence,
foam-height, foam-qualification, fplc, ftir, gas-chromatography, gc-ms, gloss,
hot-tack, impedance, lc-ms, light-obscuration, liquid-chromatography,
loss-on-drying, luminescence, mass-spectrometry, metabolite-analyzer,
multi-analyte-profiling, nephelometry, nmr, optical-imaging, optical-microscopy,
osmolality, oven-kf, pcr, ph, plate-reader, pressure-monitoring, psd, pumping,
raman, rheometry, sem, solution-analyzer, specific-rotation, spectrophotometry,
stirring, surface-area-analysis, tablet-hardness, temperature-monitoring,
tensile-test, thermogravimetric-analysis, titration, ultraviolet-absorbance,
x-ray-powder-diffraction

{
  "value": 1.5,
  "unit": "mL"
}

{
  "measurement-aggregate-document": {
    "measurement-document": [
      { "viable-cell-density": {"value": 2.5e6, "unit": "(cell/mL)"} },
      { "viability": {"value": 95.2, "unit": "%"} }
    ]
  }
}

{
  "cube-structure": {
    "dimensions": [{"@componentDatatype": "double", "concept": "elapsed time"}],
    "measures": [{"@componentDatatype": "double", "concept": "absorbance"}]
  },
  "data": {
    "dimensions": [[0, 1, 2, 3, 4]],
    "measures": [[0.1, 0.2, 0.3, 0.4, 0.5]]
  }
}

import json
import jsonschema
from urllib.request import urlopen

# Load ASM output
with open("output.json") as f:
    asm = json.load(f)

# Get schema URL from manifest
schema_url = asm.get("$asm.manifest", {}).get("$ref")

# Validate (simplified - real validation more complex)
# Note: Full validation requires resolving $ref references

json-schemas/adm/
├── cell-counting/
│   └── REC/2024/09/
│       └── cell-counting.schema.json
├── spectrophotometry/
│   └── REC/2024/06/
│       └── spectrophotometry.schema.json
├── plate-reader/
│   └── REC/2024/06/
│       └── plate-reader.schema.json
└── ...

def report_completeness(asm, expected_fields):
    found = set(extract_all_fields(asm))
    missing = expected_fields - found
    return len(found) / len(expected_fields) * 100