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Colour every board row from its own types, and say what has not started yet
Two of the board's colours were still hardcoded: carousel headings were gold
and grid headings blue, left over from when carousel meant Recognition and grid
meant Recertification. A type wearing another type's colour is worse than no
colour at all, and it was the whole of the "why did my category turn blue"
puzzle - it had turned from one style's hardcoded colour to another's.

Headings now take a colour from the types beneath them. Where a row holds
several types, the one with the most cards wins, ties going to whichever sorts
first on the board. Live cards decide it; the upcoming set only gets a say when
nothing on the row has started yet, so a heading always describes what is
happening now. That covers the standard rows too - the old getSectionClass
painted the list red off a legacy 'danger' keyword.

Upcoming cards say so plainly: STARTS TOMORROW 2:06 PM, or the weekday and date
beyond that, on an amber chip, with a dashed border and a hollow carousel pip.
Shape as well as colour, so it reads from across the floor and does not depend
on telling amber from white.

Cards and tiles also carry the type's colour as a bar down the left edge, the
way the legacy board marked them; a 2px border reads as chrome at distance.
2026-08-08 14:20:36 -04:00
2026-02-17 12:47:08 -05:00

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 docs/DEPLOY.md)
  • 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 docs/DEPLOY.md)

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

The application is distributed through the internal GE Aerospace git server. Clone it from there; there is no public package or image registry.

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 docs/CONFIG.md 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 docs/IMPORT-API.md drive the whole migration through documented endpoints (X-Import-Mode preserves original timestamps). scripts/site_imports/wjf/ is the West Jefferson reference loader.

Which deployment route

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

For every environment variable and Setting key see docs/CONFIG.md.

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)

Plugin System

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

The image bundles thirteen plugins; only the ones a site installs are loaded:

  • 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
  • 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 41 MiB
Languages
Python 49%
JavaScript 22.7%
Vue 20.6%
PowerShell 5.3%
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