Fix the five classic validation errors

Every error names its fix. These are the five you will actually meet, with the message you get and the line that resolves it.

1. A typo’d field

import battinfo

try:
    battinfo.CellSpec(manufacture="Acme", model="X", format="coin", chemistry="Li-ion")
except TypeError as exc:
    print(exc)  # Unknown field(s), with a did-you-mean for manufacturer=

2. A bare-number quantity — quantities are objects, units are never implicit:

spec = battinfo.CellSpec(
    manufacturer="Acme", model="X", format="coin", chemistry="Li-ion",
    nominal_capacity={"value": 2.5, "unit": "Ah"},   # not nominal_capacity=2.5
)
print(spec.nominal_capacity)

3. An invalid test kind

try:
    battinfo.TestSpec(name="t", kind="cycle_life")
except Exception as exc:
    print(str(exc)[:120])  # lists the valid kinds; use "cycling"

4. specs= as a list — it is a mapping of property name to value:

try:
    battinfo.CellSpec(
        manufacturer="Acme", model="X", format="coin", chemistry="Li-ion",
        specs=[("nominal_voltage", 3.0)],
    )
except TypeError as exc:
    print(exc)

5. A dataset without a URL — schema requires a resolvable location:

ds = battinfo.Dataset(
    name="No URL yet",
    id="https://w3id.org/battinfo/dataset/1f8r-6v2k-9p4m-3t7x",
    cell_instance_id="https://w3id.org/battinfo/cell/3m6k-9t2p-7x4h-9nq8",
)
try:
    ds.to_record()
except ValueError as exc:
    print(str(exc)[:120])  # set access_url= to the landing page or download URL

Check any record in the browser at battinfo.org/validate — it runs the same canonical schemas as battinfo validate and the registry.