groundskeeping

groundskeeping is a reusable Textual shell for operator tools that help people care for a working environment: setup checks, configuration, queues, telemetry, tuning, and long-running operations.

It provides the common TUI pieces; each application decides what those pieces mean. In Groundworkers, that means setup pages for database configuration, embeddings, and semantic projection. In cava-nlp-shard, it means pages for evaluation runs, runtime configuration, and model/backend health.

The shape of an app

A groundskeeping app starts with one OperatorAppSpec.

The spec names the app, orders the pages, registers actions, and supplies the policies that decide whether work may run. Application-specific services arrive through your page factories; Groundskeeping does not go looking for them globally.

Pages are ordinary Textual widgets owned by the application using Groundskeeping. The shell mounts them once, activates and deactivates them as the operator moves between tabs, and preserves page-local state. A page receives a narrow PageContext; it does not receive the whole app.

In practice, an application wires its own services into its own pages, then hands those pages to the shared shell:

from groundskeeping.app import OperatorApp, OperatorAppSpec
from groundskeeping.contracts import PageRegistration, PageRoute

spec = OperatorAppSpec(
    app_id="groundworkers",
    title="Groundworkers",
    subtitle="setup and projection operator",
    pages=(
        PageRegistration(
            route=PageRoute(
                key="database",
                label="Database",
                purpose="Configure and verify the OMOP database connection.",
            ),
            factory=lambda context: DatabaseSetupPage(database_service),
        ),
        PageRegistration(
            route=PageRoute(
                key="embeddings",
                label="Embeddings",
                purpose="Prepare model providers and populate vector indexes.",
            ),
            factory=lambda context: EmbeddingsSetupPage(embedding_service),
        ),
    ),
)

OperatorApp(spec).run()

Groundskeeping owns the frame around those pages. DatabaseSetupPage, EmbeddingsSetupPage, and the services behind them stay in the application.

The default page surface is the workbench:

• flat section navigation or a hierarchical catalogue on the left;
• rows or tree content on the upper right; and
• selected detail on the lower right.

Read the screenshot from left to right:

Pages choose SectionNavigation for peer areas or CatalogueNavigation for hierarchical content. They render Groundskeeping view models such as SectionItem, CatalogueItem, TableView, TreeView, EmptyView, TextView, and KeyValueView. Translate application objects before they reach the workbench.

Setup pages

A setup page should answer a practical operator question: "is this environment ready for the work I am about to run?"

The page usually lives in the application using Groundskeeping. It can call whatever services that application already has for config, credentials, model providers, database checks, or runtime health. Groundskeeping supplies the screen layout and interaction contracts.

A good setup page usually has:

• a flat section list for peer setup areas such as config, database, runtime, or credentials;
• a landing TreeView summarising overall readiness;
• a TableView for repeated checks where scanning matters;
• KeyValueView detail for the selected check;
• one or two safe verification actions; and
• an operation policy that describes effects in the application's own vocabulary.

Start read-only. A Test connection or Refresh status button is often enough to prove the page shape before you add durable writes.

Actions and jobs

Actions are buttons with a runner behind them.

An ActionSpec describes the operator-facing command: label, summary, fields, resources, effects, cancellation mode, and runner. FieldSpec parses and redacts input before it reaches the runner. The runner receives an ActionContext with progress and cancellation, so long-running work can report what it is doing without importing widgets.

A shell job is work launched by this TUI process. It is not a durable processing queue. Use JobManager and JobPolicy to gate in-process work and show progress; keep queue state, retries, leases, and durable records inside the application.

Configuration

groundskeeping.configurator presents oa-configurator stack configuration safely. It can build snapshots, section views, safe drafts, redacted diffs, and apply intents.

It does not write TOML. Persistence belongs to oa-configurator and to the application using Groundskeeping. That separation protects comments, secrets, external edits, and local safety rules.

Applications can add ConfigResourceAdapter implementations for resource types that need better labels, choices, validation, verification, or post-apply effects.

Telemetry

Telemetry is split into headless data contracts and optional Textual widgets.

groundskeeping.contracts.telemetry contains source protocols, availability, normalized metrics, and snapshots. groundskeeping.telemetry contains the sampling runtime. Both remain free of Textual imports so collectors can be tested and reused outside a running app.

groundskeeping.widgets.telemetry renders snapshots. Widgets bind to metric keys and capabilities, not concrete provider classes. An accelerator card, for example, cares about utilisation and memory metrics; it does not need to know which collector produced them.

Applications own domain telemetry: queue depth, pipeline progress, database state, workload throughput, tuning interpretation, and any other application-specific signal.

Ownership boundary

groundskeeping owns:

• route validation and page activation;
• mounted-page state preservation;
• the shared workbench surface;
• generic view models;
• action, field, progress, cancellation, and job contracts;
• headless setup wizard contracts and a reusable modal wizard surface;
• in-process job gating;
• read-only configuration inspection and draft/diff models;
• headless infrastructure telemetry contracts; and
• reusable widgets that render normalized models.

Applications using Groundskeeping own:

• every production page;
• domain presenters, controllers, and services;
• queue semantics and durable records;
• YAML or other application configuration formats;
• resource-specific oa-configurator adapters;
• model calls, database access, and runtime execution;
• domain telemetry and tuning algorithms;
• operation safety policy; and
• application branding and help text.

Running the demo

uv run groundskeeping

The demo shows the shell shape without depending on Groundworkers or cava-nlp-shard.

Open the Configuration page and choose Configure database to try the reusable setup wizard surface.

Running tests

uv run --extra dev pytest -q

The tests cover route validation, app startup, action and job contracts, wizard branching and redaction, configurator redaction, telemetry import boundaries, and application dependency boundaries.