cproudlock 4ef22b6579 Make the Fleet list answer the question it exists for
The fleet list showed hostname, user, uptime, CPU, memory and last-reported,
sorted by last-reported descending. Two of those columns have never held a
value, and that sort floats the healthiest endpoints to the top and buries the
ones somebody needs to act on.

What a shop-floor fleet view is actually for is which MACHINE stops if a PC is
dead, so that is now a column. Both edge directions are checked, deduplicated,
and constrained to assets typed 'machine' - without that last filter the column
filled up with office locations that happen to carry a controls edge.

Also here:

  - Sorted WORST FIRST: never reported, then quiet, then reporting. Expressed
    as a sortable SQL rank rather than a label applied after the fact, so the
    order survives pagination.
  - Health rollup as a PHRASE, not a score: 'eDNC stopped', '2 critical'. A
    percentage does not tell an operator what to do.
  - Filters for status, PC type, location and business unit; a sort parameter
    (the route accepted none); and search widened from hostname alone to asset
    number and the machine number a PC serves, which is how people actually
    look a bay up.
  - CPU and Memory columns dropped. The agent declares those fields and has
    never assigned them, so they rendered '-' on every row.
  - A summary strip wired to the dashboard routes, which existed and which
    nothing called.

Two bugs found while building it:

The health rollup first read a 'running' boolean, but service rows carry a
STATE STRING and the vocabulary varies by source, so every service would have
reported as stopped. The panel and the rollup now share one _service_running()
helper; two copies of that rule would drift.

The summary counted quiet as total - reporting, which folded never-reported
endpoints in with quiet ones. Those are different failures - an enrolment or
key problem versus a machine that went down - so 'never' is counted separately.

Per-page batching for machines and critical-event counts: three queries per
page rather than two per row.

Full suite 2124 passed, vitest 260 passed, naming and contract gates green.
2026-08-28 21:00:35 -04:00

ShopDB Flask

A modern rewrite of the classic ASP/VBScript ShopDB application using Flask (Python) and Vue 3. This application manages shop floor machines, PCs, printers, applications, and related infrastructure for manufacturing environments.

Overview

ShopDB tracks and manages:

  • Machines - CNC equipment, CMMs, inspection systems, etc.
  • PCs - Shopfloor computers, engineering workstations
  • Printers - Network printers with Zabbix supply integration
  • Network devices - Switches, routers, and the subnet browser
  • Measuring tools - Gage-lab instruments with calibration tracking
  • Applications - Software deployed across the shop floor, with per-PC install tracking
  • Employees - Directory, recognition and training notifications
  • Warranties - Coverage records with Dell warranty lookups
  • USB devices - CMMC check-in/out tracking
  • Knowledge Base - Documentation and troubleshooting guides
  • GE-Enforce manifests - Imaging/software manifest editing and fleet compliance

Tech Stack

Backend:

  • Python 3.14 with Flask
  • SQLAlchemy ORM
  • MySQL 5.7+ database (5.6 works with extra utf8mb4 config; see the DEPLOY wiki page)
  • JWT authentication
  • Plugin architecture for extensibility

Frontend:

  • Vue 3 with Composition API
  • Vue Router for navigation
  • Pinia for state management
  • Vite build system

Project Structure

shopdb-flask/
+-- shopdb/                 # Flask application
|   +-- core/
|   |   +-- api/            # REST API endpoints
|   |   +-- models/         # SQLAlchemy models
|   |   +-- schemas/        # Validation schemas
|   |   `-- services/       # Business logic
|   +-- plugins/            # Plugin system
|   `-- utils/              # Shared utilities
+-- frontend/               # Vue 3 application
|   +-- src/
|   |   +-- api/            # API client
|   |   +-- components/     # Reusable components
|   |   +-- views/          # Page components
|   |   +-- router/         # Route definitions
|   |   `-- stores/         # Pinia stores
|   `-- public/             # Static assets
+-- plugins/                # Bundled and external plugins
+-- migrations/             # Alembic migration chain (flask db upgrade)
+-- scripts/                # Import and utility scripts
`-- tests/                  # Test suite

Naming Conventions

To maintain consistency with the legacy ShopDB database and codebase, the following naming standards apply:

Database

  • Table names: Lowercase, single word, no underscores or dashes
    • Examples: assets, computers, printers, businessunits
  • Column names: Lowercase, single word, no underscores or dashes
    • Examples: assetid, assetnumber, hostname, isactive, createddate
  • Foreign keys: Referenced table name + id
    • Examples: locationid, vendorid, modelnumberid, computertypeid
  • Boolean columns: Prefixed with is or has
    • Examples: isactive, isshopfloor, iscolor, isdhcp, islicenced

Code

  • Python variables: Follow database naming where applicable (lowercase, no underscores for model fields)
  • JavaScript variables: camelCase for local variables, but match API field names from backend
  • Vue components: PascalCase for component names
  • CSS classes: Lowercase with dashes for multi-word classes

API

  • Endpoints: Lowercase, plural nouns
    • Examples: /api/machines, /api/computers, /api/locations
  • Query parameters: Lowercase, single word
    • Examples: ?locationid=5, ?isactive=true, ?assettype=computer

Style Guidelines

  • No emojis in code, comments, documentation, or UI
  • Keep UI functional and professional
  • Dark theme is the default
  • Consistent table layouts across all list views

Setup

Prerequisites

  • Python 3.14
  • Node.js 18+
  • MySQL 5.7+ (5.6 works with extra utf8mb4 config; see the DEPLOY wiki page)

ShopDB Flask uses MySQL as the canonical database. SQLite is used only for the test suite (TestingConfig in shopdb/config.py points at an in-memory SQLite). Do not run dev or production against SQLite.

Distribution

Source lives here. The Windows installer ships as a release asset rather than a file in the repository - it is around 240 MB, well past what a repository takes and well inside what a release asset does. There is no package or image registry; a site installs from that .exe or builds from source.

Fast path (Docker)

The Docker image builds the Vue frontend and serves it from the API container, so a container deploy needs no separate Node build step.

cp .env.example .env
# Edit .env: set SECRET_KEY, JWT_SECRET_KEY, DATABASE_URL, CORS_ORIGINS,
# and the MYSQL_* passwords (see the CONFIG wiki page for every variable).

docker compose up -d --build

# Create the schema and seed the platform data (idempotent, safe to re-run):
docker compose exec api flask db upgrade
docker compose exec api flask seed permissions
docker compose exec api flask seed settings
docker compose exec api flask seed reference-data

Then browse to the site and complete the first-run setup wizard at /setup (it creates the first admin account and captures site identity). To create the admin headlessly instead of using the wizard:

docker compose exec api flask seed admin --username admin --email admin@facility.example.com

Manual path (venv + Node)

# Backend
python -m venv venv
source venv/bin/activate
pip install -r requirements.txt
cp .env.example .env
# Edit .env with your database credentials and secrets.

export FLASK_APP=shopdb
flask db upgrade
flask plugin upgrade-all      # per-plugin schema (ADR-008)
flask seed permissions
flask seed settings
flask seed reference-data
flask run --port 5001         # MUST be 5001 - the frontend dev server proxies here

# Frontend (separate terminal)
cd frontend
npm install
npm run dev          # dev server on :5173
npm run build        # production build into frontend/dist (served by Flask)

Complete first-run setup at /setup, or run flask seed admin for a headless admin account. The repo ships VS Code config in .vscode/ (F5 debugs the backend; a "Dev site" task runs both servers). A fuller day-one walkthrough, including VS Code and troubleshooting, is the DEVELOPMENT-SETUP page in the project wiki.

To import a site's legacy data, use the HTTP import surface: an admin API token plus the IMPORT-API page in the project wiki drive the whole migration through documented endpoints (X-Import-Mode preserves original timestamps). scripts/site_imports/wjf/ is the reference site's loader, kept as a worked example of the whole sequence.

Which deployment route

Target Use
Windows Server + IIS (how sister sites run) the INSTALL-WINDOWS page in the project wiki - one installer .exe, offline, no manual IIS work. Day 2: the OPERATE-WINDOWS page in the project wiki
Linux / Docker, air-gapped the DEPLOY-AIRGAP page in the project wiki
Linux / Docker, connected the DEPLOY page in the project wiki

For every environment variable and Setting key see the CONFIG page in the project wiki.

What the Windows installer requires

The installer checks all of this before it changes anything and refuses rather than half-installing.

Minimum Notes
Windows Server 2019 (build 10.0.17763) Ships IIS 10.0, which is therefore the earliest IIS supported. Server 2016 is also IIS 10.0 but falls below the build floor and is refused.
Windows client (test boxes) 10 22H2 (build 10.0.19045) or 11 Pro or higher - Home has no IIS at all.
Architecture 64-bit The payload is cp314 win_amd64.
IIS Web Server role installed beforehand Install-WindowsFeature -Name Web-Server -IncludeManagementTools. Needs no internet.
Free disk 5 GB Refused below this. 40 GB is comfortable once uploads and config backups accumulate.
Database bundled MySQL 8.4 LTS, or your own Bring credentials if you use an existing server.

The binding constraint is the operating system rather than IIS: the payload is Python 3.14 plus HttpPlatformHandler and URL Rewrite, and the handler itself runs on older IIS. An older host is untested rather than known-broken.

If you must deploy onto something older, the INSTALL-WINDOWS-IIS page in the project wiki is the manual procedure and has no OS gate - it even documents MySQL 5.6, which is that era of machine. The trade is stated there: it produces a server the installer will not subsequently upgrade.

Configuration

Environment variables (.env):

Variable Description
DATABASE_URL MySQL connection string
SECRET_KEY Flask secret key
JWT_SECRET_KEY JWT signing key
JWT_ACCESS_TOKEN_EXPIRES Access token TTL (seconds)
LOG_LEVEL Logging verbosity

API Documentation

The REST API follows standard conventions:

Method Endpoint Description
GET /api/machines List machines (filterable by type)
GET /api/machines/:id Get machine details
POST /api/machines Create machine
PUT /api/machines/:id Update machine
DELETE /api/machines/:id Soft delete machine

Each asset plugin exposes the same CRUD pattern on its own prefix (/api/computers, /api/printers, /api/network, /api/measuringtools), and cross-cutting asset endpoints live under /api/assets.

Query parameters for list endpoints:

  • page - Page number (default: 1)
  • perpage - Items per page
  • sort - Sort field
  • dir - Sort direction (asc/desc)
  • search - Search term
  • assettype - Filter by asset type (computer, printer, machine, networkdevice, measuringtool)

Where to start

the START-HERE page in the project wiki routes by what you are here to do - standing up a site, deploying the shop-floor tools, writing a plugin, integrating with the API, or diagnosing something. On the published mirror the same page is the wiki's front door.

Plugin System

ShopDB supports plugins for extending functionality. See CONTRIBUTING.md for plugin development guidelines.

The image bundles these plugins; only the ones a site installs are loaded. The current count and each plugin's version and migration head are in the PROJECT-MAP page in the project wiki, which is generated:

  • backups - Machine configuration backups (NTLARS/DNC, CMM, part marker, UDC) with revision history and diffs
  • computers - Shopfloor PCs and workstations, collector fleet ingest
  • employees - Employee directory
  • geenforce - GE-Enforce imaging/software manifests and fleet compliance
  • machines - CNC, CMM, and other shop-floor machines
  • measuringtools - Gage-lab instruments with calibration tracking
  • knowledgebase - Documentation and troubleshooting guides
  • network - Network devices and subnets
  • notifications - Shopfloor notifications and recognition feed
  • printedparts - 3D-printed part catalogue, kiosk issue tracking and stock alerts
  • printers - Extended printer management with Zabbix integration
  • slides - TV/kiosk slideshows
  • tools - Tech Tools: barcode and QR generation laid out for real label stock
  • usb - CMMC USB check-in/out tracking
  • warranty - Warranty records with Dell lookups

Legacy Migration

This project replicates functionality from the classic ASP/VBScript ShopDB site. Key mappings:

Legacy Modern
ASP/VBScript Flask/Python
Classic ADO SQLAlchemy
Server-side HTML Vue 3 SPA
Session auth JWT tokens

License

Internal use only.

Description
Shop Database Flask Application with Vue 3 Frontend
Readme 98 MiB
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JavaScript 17.5%
PowerShell 5.5%
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