The bundle carries ~40 wheels, a Python installer and two MSIs. All of them run as SYSTEM on the target server, and nothing verified any of them. A missing wheelhouse printed MISSING and the script still exited 0, so an empty bundle compiled into a shippable installer and the failure surfaced on an air-gapped server with no way to fix it. bundle-lock.json now records that payload exactly - sha256 and byte size per file - and verification is set equality: a missing file, an unexpected extra file, or changed content all fail. Both builders check it and refuse to produce an unverified bundle; the lock ships inside the bundle and shopdb-install.ps1 re-checks it on the server before running any of it. This is deliberately a layer above requirements.txt hashes. pip lists every artifact of a pinned version (cffi 2.1.0 alone has 100 hashes), so it proves a wheel is genuine, not that it is the wheel this bundle was built and tested with; it ignores extra files in the wheelhouse; and it covers none of the executables. refresh-bundle-lock.ps1 regenerates the lock but refuses to overwrite one until the operator has seen the diff, because the commit is the review - it is the only place a change to what runs as SYSTEM becomes visible to a human. build-installer.ps1 is the whole build natively on Windows, so a work PC needs no Bash. It shares the plugin closure resolver with build-site.sh. Both builders now copy the installer scripts from the repository. They were copied from a downloads folder, so the logic that shipped was not the logic that was committed and the build worked on exactly one machine. Two verifiers exist because PowerShell is the only thing guaranteed present on the target server, while the Linux builder should not need pwsh. tests/test_bundle_lock.py runs both against the same fixtures and fails if they disagree.
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
- Examples:
- Column names: Lowercase, single word, no underscores or dashes
- Examples:
assetid,assetnumber,hostname,isactive,createddate
- Examples:
- Foreign keys: Referenced table name +
id- Examples:
locationid,vendorid,modelnumberid,computertypeid
- Examples:
- Boolean columns: Prefixed with
isorhas- Examples:
isactive,isshopfloor,iscolor,isdhcp,islicenced
- Examples:
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
- Examples:
- Query parameters: Lowercase, single word
- Examples:
?locationid=5,?isactive=true,?assettype=computer
- Examples:
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.
For the full per-site deployment runbook see 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 pagesort- Sort fielddir- Sort direction (asc/desc)search- Search termassettype- 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 twelve 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
- 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.