`tools/update-table.py` discards `tag`, `status`, `description` columns from CSV

[sumanjeet0012]

tools/update-table.py reads all 5 columns from the upstream table.csv but only writes the prefix code to constants.py, discarding tag, status, and description.

Problem

The script reads the full CSV row (line 78):

# tools/update-table.py
for row in multicodec_reader:
    code = padded_hex(row["code"])
    name_const = row["name"].upper().replace("-", "_")
    name_human = row["name"]
    tag = row["tag"]           # ← Read but only used for grouping
    # row["status"]            # ← Never read
    # row["description"]       # ← Never read

But when writing the output (line 82), only the prefix is included:

    value = "{'prefix': {code}, },".format(code=codec["code"])

The tag variable is used for grouping entries into sections (line 68: parsed[tag].append(value)) but is never stored in the output data.

Proposed Solution

Modify the output format to include all available metadata:

value = (
    "{{'prefix': {code}, 'tag': '{tag}', "
    "'status': '{status}', 'description': '{desc}'}},\n"
).format(
    code=codec["code"],
    tag=codec.get("tag", ""),
    status=codec.get("status", ""),
    desc=codec.get("description", "").replace("'", "\\'"),
)

Also update the unique_code() function and the FOOTER derivation to handle the enriched data.

After this change, regenerate constants.py and verify the output.

Related

• Script: tools/update-table.py
• Output: multicodec/constants.py
• Upstream CSV: multicodec/table.csv