## Overview Adds a **Classification policy** to the processor's policy catalogue, set up the same way as the Security policy. This moves classifier configuration out of the editor (where the labels UI landed in #6898 and was then removed with the rest of the editor's policy-management surface in #6932) and into the processor, which is now the single place policies are configured. ## What it does - **Classification card** in the processor policy catalogue. Always shown, but **setup is locked until the backend reports the AI engine is on** — so admins can see the capability they're missing rather than it being hidden entirely. - **Setup wizard** mirrors Security: the workflow step shows the team's **classification label editor** (reused `LabelsEditor`/`LabelsEditorModal` — add box, chip grid, per-label icon picker, import/export, reset) instead of tool toggles, since classify is a single non-configurable step. - On enable, the team's label vocabulary is **seeded with the 268 built-in defaults** (clobber-safe: only when the team has none). On upload the document is classified against the team's labels and tagged; on SaaS with the engine on, files group by category in the editor sidebar. ## Reuse & consolidation - Reuses the existing labels table, `labelsFile` helpers, and default vocabulary. Labels read/write through the processor's own `apiClient.local` (not the editor's axios client) so auth/base routing stays explicit; the wire shape is shared. - Consolidates policy-category icons into a shared, **id-keyed** `policyCategoryIcon` util (outline glyphs) used by both the editor and the processor, replacing the processor's emoji-glyph map (and the stray `schedule` key that rendered a bare dot). ## Testing - `task frontend:typecheck:{core,proprietary,portal}`, `frontend:lint:eslint`, `frontend:test` (156 files / 1305 tests) — all green. - Verified in Storybook: the Classification card renders, the setup wizard shows the label editor (268 defaults), and the full labels editor opens with icons/import/export/reset. Added an MSW handler for the app-config + labels endpoints and a `Classification` wizard story. ## Notes for reviewers - The AI-engine gate reads the public `/api/v1/config/app-config`; classification labels use `/api/v1/classification/labels` (team-scoped, team-lead/admin-gated, `policies.enabled`); the classify step hits `/api/v1/ai/tools/classify-and-label` — all pre-existing backend from #6898. - Known parity behavior (matches the editor hook): a transient failure loading team labels falls back to showing the defaults; not changed here to avoid diverging the two hooks.
Frontend
All frontend commands are run from the repository root using Task:
task frontend:dev— start Vite dev server (localhost:5173)task frontend:build— production buildtask frontend:test— run teststask frontend:test:watch— run tests in watch modetask frontend:lint— run ESLint + cycle detectiontask frontend:typecheck— run TypeScript type checkingtask frontend:check— run typecheck + lint + testtask frontend:install— install npm dependencies
For desktop app development, see the Tauri section below.
Layout
frontend/ is a workspace containing one or more apps. Today it holds the
PDF editor under frontend/editor/; new apps (the developer portal, etc.)
will sit alongside it as siblings. Shared tooling — package.json, node_modules,
.storybook/, ESLint, Prettier — lives at frontend/ so every app installs
once and lints with the same config.
Environment Variables
The editor's environment variables live in committed .env files at
frontend/editor/:
.env— used by all builds (core, proprietary, and as the base for desktop/SaaS).env.desktop— additional vars loaded in desktop (Tauri) mode.env.saas— additional vars loaded in SaaS mode
These files contain non-secret defaults and are checked into Git, so most dev work needs no further setup.
To override values locally (API keys, machine-specific settings), create an uncommitted sibling editor/.env.local / editor/.env.desktop.local / editor/.env.saas.local. Vite automatically layers these on top of the committed files.
Docker Setup
For Docker deployments and configuration, see the Docker README.
Tauri
All desktop tasks are available via Task. From the root of the repo:
Dev
task desktop:dev
This ensures the JLink runtime and backend JAR exist (skipping if already built), then starts Tauri in dev mode.
Build
task desktop:build
This does a full clean rebuild of the backend JAR and JLink runtime, then builds the Tauri app for production.
Platform-specific dev builds are also available:
task desktop:build:dev # No bundling
task desktop:build:dev:mac # macOS .app bundle
task desktop:build:dev:windows # Windows NSIS installer
task desktop:build:dev:linux # Linux AppImage
JLink Tasks
You can also run JLink steps individually:
task desktop:jlink # Build JAR + create JLink runtime
task desktop:jlink:jar # Build backend JAR only
task desktop:jlink:runtime # Create JLink custom JRE only
task desktop:jlink:clean # Remove JLink artifacts
Clean
task desktop:clean
Removes all desktop build artifacts including JLink runtime, bundled JARs, Cargo build, and dist/build directories.