Assign printers to a MACHINE and let whichever PC controls it install them, with the observed half kept strictly apart from the assigned half: a collector report can never write an assignment row. Adoption is explicit. Adds a singular relationship type so defaultprinter can mean exactly one, client scripts that converge a bay's queues and correct a drifted one in place, and a wave gate so a fleet-wide driver rollout cannot stampede its own share. On the container side: the compose stack never persisted the instance directory, so a rebuild discarded plugins.json and every upload. It is a volume now, the image ships instance/ owned by the app user so the mountpoint is writable, and the database moves to MySQL 8.4 LTS, which the Windows runbook has recommended since 8.0 went end of life. The image also could not build at all: the frontend stage never copied the plugin staging script it runs. Adds a topology migration guide covering IIS to Docker and back.
WJ classic-ASP import loader (reference implementation)
This is site-specific reference glue, not product code. It maps West
Jefferson's classic-ASP shopdb / cmmc_usb / wjf_employees schema onto the
maintained, schema-agnostic import contract in the IMPORT-API wiki page.
Every adopting site has its own source database. Nobody else runs this loader. Instead, copy the pattern:
- Point the harness at your source DB(s) (edit
harness.Source). - Write per-entity stages that read your tables and POST to the same
the IMPORT-API wiki page endpoints with
Authorization: Bearer <admin PAT>andX-Import-Mode: true. - Persist legacy-id -> new-id crosswalks (see
harness.IdMap) so later stages resolve foreign keys and a crashed run resumes.
The import API is the stable contract; loaders are per-site. The mapping itself is the bulk of the work: enumerate the source tables against this contract and write one stage per entity (this loader is the worked example).
Running (against a THROWAWAY import database)
DATABASE_URL='mysql+pymysql://root:PW@127.0.0.1:3306/shopdb_flask_import?charset=utf8mb4' \
venv/bin/python -m scripts.site_imports.wjf.run --stages reference,employees
Prereqs: a fresh target DB built with flask db upgrade + flask plugin upgrade-all + flask seed permissions/settings/reference-data, and the three
source dumps loaded into scratch DBs (shopdb_src, cmmc_usb_src,
wjf_employees_src). See scratchpad/IMPORT-PLAN.md for the full mapping,
resolved decisions, and remaining stages.
Status
Complete - all 15 stages built and verified end-to-end against a fresh scratch
target (zero endpoint errors): reference, employees, catalog, assets
(the hub + machineid->assetid crosswalk), locations, printers,
communications, applications (+ installs), warranties, notifications,
knowledgebase, relationships, subnets, usb, verify.
Last full run: 983 assets (computer 663, machine 76, network 58, measuring-tool 136, printer 50), 24 locations, 415 employees, 850 installs, 461 primary IPs, 464 warranties, 261 notifications, 341 KB, 93 relationships, 37 subnets, 18 USB devices + 232 events. UI spot-check passed (computer list + shop-floor map).
Known follow-ups: general asset locationid is null (no source column outside
printers); the ~146 duplicate machinenumbers are first-wins-skipped by decision.