Files
shopdb-flask/scripts/backfill_vendor_from_model.py
cproudlock 58b460fe3d Backfill an asset's type from its model, by exact name only
Correcting an earlier judgement. I said the model's type could not be used to
fill an asset's type, because modeltypes is the catalog-wide list covering every
kind of asset - it holds "Access Point", "Camera" and "Desktop PC" - and only
about two thirds of its names exist as machine types.

That is true across the whole catalog and misleading in practice. Restricted to
the models an asset class actually uses, the picture is different: all 262
machines in the development database map exactly, because the non-machine
entries are never used by machines. The blanks on the machines list are rows
whose type the database could already have supplied.

So the backfill now fills the type as well, under a rule that cannot mistype
anything: exact name match or nothing. A model type with no identically named
entry in the asset's own type table is reported with a count and left untouched,
so somebody can decide rather than have a guess written into their data. The
same shape covers computers, printers and network devices, each against its own
type table.

Verified against the development database by nulling one machine's type inside a
transaction: it was detected as fillable, the proposal read "LocationOnly" ->
"LocationOnly", the update restored exactly the original id, and the rollback
left the row unchanged.

Still a dry run unless given --commit, and a table missing the model column is
skipped, so it runs against a server whose network migration is not yet applied.
2026-08-05 10:11:50 -04:00

204 lines
9.0 KiB
Python

"""Fill in an asset's vendor from the catalog model it already points at.
An asset that carries a model but no vendor is showing a blank the database can
answer: the model records its own vendor, and both sides reference the same
vendors table. The detail pages fall back to it at display time, but the record
itself stays empty, so the edit form shows an empty vendor box and any report
reading vendorid directly still sees nothing. This writes it down.
ONLY fills rows where the asset's vendor is NULL and the model names one. It
never overwrites a vendor somebody chose, and it never guesses: if the model has
no vendor either, the row is left alone.
It also fills the asset's TYPE from the model's type, but ONLY where the two
names are identical. modeltypes is the catalog-wide list covering every kind of
asset - it holds "Access Point", "Camera" and "Desktop PC" alongside the machine
entries - so it is a different taxonomy from machinetypes and the two cannot be
equated in general. Across the whole catalog only about two thirds of the names
overlap. Restricted to the models an asset class actually uses the picture is
different: every one of the 262 machines in the development database maps
exactly, because the non-machine entries are never used by machines.
So the rule is exact name match or nothing. A model type with no same-named
entry in the asset's own type table is REPORTED and left alone, never guessed
at, because the failure mode is a machine labelled "Desktop PC".
Dry run by default; nothing is written without --commit.
python scripts/backfill_vendor_from_model.py
python scripts/backfill_vendor_from_model.py --commit
python scripts/backfill_vendor_from_model.py --only machines --commit
"""
import argparse
import os
import sys
sys.path.insert(0, os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
# Each asset table that carries both a model link and its own vendor, with the
# column that identifies a row in reports and logs.
TARGETS = [
('machines', 'machineid', 'machinename'),
('computers', 'computerid', 'computername'),
('printers', 'printerid', 'printername'),
('networkdevices', 'networkdeviceid', 'hostname'),
]
# The asset's own type column, and the table it points at. Each asset class
# keeps its own type list; the catalog's modeltypes is a different taxonomy, so
# these are joined by NAME and only when the name matches exactly.
TYPE_TARGETS = {
'machines': ('machinetypeid', 'machinetypes', 'machinetype'),
'computers': ('computertypeid', 'computertypes', 'computertype'),
'printers': ('printertypeid', 'printertypes', 'printertype'),
'networkdevices': ('networkdevicetypeid', 'networkdevicetypes', 'networkdevicetype'),
}
def resolve(connection, table, idcol, labelcol):
"""Rows that would change, newest table columns tolerated."""
from sqlalchemy import text
columns = {c['name'] for c in __import__('sqlalchemy').inspect(connection).get_columns(table)}
if 'modelnumberid' not in columns or 'vendorid' not in columns:
return None, []
label = labelcol if labelcol in columns else idcol
rows = connection.execute(text(f"""
SELECT a.{idcol} AS assetid,
a.{label} AS label,
m.modelnumber AS modelnumber,
m.vendorid AS vendorid,
v.vendor AS vendorname
FROM {table} a
JOIN models m ON a.modelnumberid = m.modelnumberid
JOIN vendors v ON m.vendorid = v.vendorid
WHERE a.vendorid IS NULL
AND m.vendorid IS NOT NULL
ORDER BY a.{idcol}
""")).fetchall()
return label, rows
def resolve_types(connection, table, idcol, labelcol):
"""Rows whose type could be taken from the model, plus the ones that cannot.
Returns (fillable, unmatched). unmatched rows have a model type that has no
identically named entry in this asset's own type table, and are never
touched - they are reported so somebody can decide.
"""
from sqlalchemy import inspect, text
spec = TYPE_TARGETS.get(table)
if not spec:
return [], []
typecol, typetable, typenamecol = spec
columns = {c['name'] for c in inspect(connection).get_columns(table)}
if 'modelnumberid' not in columns or typecol not in columns:
return [], []
label = labelcol if labelcol in columns else idcol
fillable = connection.execute(text(f"""
SELECT a.{idcol} AS assetid, a.{label} AS label,
mt.modeltype AS modeltype, tt.{typenamecol} AS typename
FROM {table} a
JOIN models mo ON a.modelnumberid = mo.modelnumberid
JOIN modeltypes mt ON mo.modeltypeid = mt.modeltypeid
JOIN {typetable} tt ON tt.{typenamecol} = mt.modeltype
WHERE a.{typecol} IS NULL
ORDER BY a.{idcol}
""")).fetchall()
unmatched = connection.execute(text(f"""
SELECT mt.modeltype AS modeltype, COUNT(*) AS n
FROM {table} a
JOIN models mo ON a.modelnumberid = mo.modelnumberid
JOIN modeltypes mt ON mo.modeltypeid = mt.modeltypeid
LEFT JOIN {typetable} tt ON tt.{typenamecol} = mt.modeltype
WHERE a.{typecol} IS NULL AND tt.{typenamecol} IS NULL
GROUP BY mt.modeltype ORDER BY n DESC
""")).fetchall()
return fillable, unmatched
def main():
parser = argparse.ArgumentParser(description=__doc__,
formatter_class=argparse.RawDescriptionHelpFormatter)
parser.add_argument('--commit', action='store_true',
help='write the changes (default is a dry run)')
parser.add_argument('--only', metavar='TABLE',
help='restrict to one table, e.g. machines')
parser.add_argument('--limit', type=int, default=20,
help='rows to list per table in the preview (default 20)')
args = parser.parse_args()
# FLASK_ENV is deliberately NOT forced. The app reads it from .env, which on
# a server already says production; overriding it here demanded a SECRET_KEY
# the environment had no reason to provide and the script could not run.
from sqlalchemy import text
from shopdb import create_app
from shopdb.extensions import db
app = create_app()
with app.app_context():
connection = db.session.connection()
total = 0
for table, idcol, labelcol in TARGETS:
if args.only and args.only != table:
continue
label, rows = resolve(connection, table, idcol, labelcol)
if label is None:
print(f'{table}: no model or vendor column here, skipped')
continue
print(f'\n{table}: {len(rows)} row(s) would get a vendor')
for row in rows[:args.limit]:
print(f' {row.assetid:>7} {str(row.label)[:28]:<28} '
f'model {row.modelnumber[:22]:<22} -> {row.vendorname}')
if len(rows) > args.limit:
print(f' ... and {len(rows) - args.limit} more')
total += len(rows)
if args.commit and rows:
connection.execute(text(f"""
UPDATE {table} a
JOIN models m ON a.modelnumberid = m.modelnumberid
SET a.vendorid = m.vendorid
WHERE a.vendorid IS NULL
AND m.vendorid IS NOT NULL
"""))
# Type, by exact name only.
typed, unmatched = resolve_types(connection, table, idcol, labelcol)
spec = TYPE_TARGETS.get(table)
print(f'{table}: {len(typed)} row(s) would get a type')
for row in typed[:args.limit]:
print(f' {row.assetid:>7} {str(row.label)[:28]:<28} '
f'model type {row.modeltype[:22]:<22} -> {row.typename}')
if len(typed) > args.limit:
print(f' ... and {len(typed) - args.limit} more')
for row in unmatched:
print(f' LEFT ALONE: {row.n} row(s) with model type '
f'"{row.modeltype}" - no matching {spec[1]} entry')
total += len(typed)
if args.commit and typed:
typecol, typetable, typenamecol = spec
connection.execute(text(f"""
UPDATE {table} a
JOIN models mo ON a.modelnumberid = mo.modelnumberid
JOIN modeltypes mt ON mo.modeltypeid = mt.modeltypeid
JOIN {typetable} tt ON tt.{typenamecol} = mt.modeltype
SET a.{typecol} = tt.{typecol}
WHERE a.{typecol} IS NULL
"""))
if args.commit:
db.session.commit()
print(f'\nCommitted. {total} row(s) updated.')
else:
print(f'\nDRY RUN - nothing written. {total} row(s) would change.')
print('Re-run with --commit to apply.')
return 0
if __name__ == '__main__':
sys.exit(main())