Skip to main content

Build and drive CAR-TER layouts from Python — the control docs are the library.

Project description

carterkit

PyPI Downloads Python versions

Build and drive CAR-TER layouts from Python.

The control docs are the library. Every control's schema, fields, and examples are parsed at runtime from the ControlDocs markdown bundled inside the package — the exact same docs the CAR-TER app renders — so the catalog never drifts from the definitions.

pip install carterkit

Explore the controls (zero config)

import carterkit

carterkit.controls()            # {type: schema} for every placeable control
carterkit.doc("gauge")          # full parsed doc: fields, themeFields, examples
print(carterkit.doc_markdown("gauge"))   # the rendered documentation prose
carterkit.examples("button")    # documented example snippets

Build a layout

Controls are methods on the layout, ids are positional, tabs and groups are context managers, and bindings fold into kwargs. Each control method returns a handle you can use as a binding target or patch later. Unknown control types and bad enum values raise instead of silently shipping a broken layout:

from carterkit import Layout

with Layout("Dashboard", cols=4, rows=4) as ui:
    ui.connect("ws://192.168.1.50:8765", channel="home")
    with ui.tab("Main", icon="gauge"):
        cpu = ui.gauge("cpu", label="CPU", min=0, max=100, span=(2, 2),
                       listen="cpu", when={"msg_type": "metrics"})
        ui.status_light("warn", visible=cpu > 90)      # handle → visibility condition
        ui.button("refresh", label="Refresh", send="refresh")

print(ui.findings())        # schema + grid + binding lint against the bundled catalog
ui.save("dashboard.json")   # the composed layout, ready to push/load

Binding sugar: listen=/when=/event= build a sync, and send=/payload= build an actionsend="refresh" compiles to the one shape the relay actually forwards (broadcast_request tagged msg_type: "refresh"; Hub.on demuxes it back for you). Pass sync=[...]/action={...} (via carterkit.bind) for anything fancier. A handle comparison (cpu > 90) becomes a real visibility condition; ==/!= stay normal Python, so use .eq()/.neq(). help(carterkit.build.gauge) prints any control's documentation, straight from the bundled docs.

Naming: multi-word controls are snake_case as Layout methods (ui.status_light(...), ui.log_console(...), ui.progress_ring(...)) but camelCase as the JSON type and as carterkit.build.* functions ("statusLight", build.logConsole). Single-word controls (gauge, button) look the same either way. Grid size (cols/rows) set on Layout(...) is the default for every tab; override it per tab with ui.tab("Name", rows=…).

Beyond MeshSocket — sources, sensors, and app-side features

A layout can drive itself off protocols you already run, or the phone's own hardware, with no server code — the app speaks them directly:

ui.source_mqtt("broker", "mqtt://192.168.1.10:1883")   # declare a broker
ui.source_http("api", "http://192.168.1.5:8080", interval=5)
with ui.tab("Home", icon="house"):
    ui.gauge("temp", label="Temp", min=0, max=40, sync=[bind.mqtt("home/temp")])
    ui.toggle("fan", label="Fan", sync=[bind.mqtt("home/fan/state")],
              action=bind.mqtt_publish("home/fan/set"))
    ui.gauge("cpu", label="CPU", sync=[bind.http("/status", interval=5, valuePath="cpu")])
    ui.compass("hdg", label="Heading", sensor="heading")   # device sensor, no backend

bind.mqtt / bind.mqtt_publish / bind.http / bind.http_request / bind.sensor build the sync/action dicts; the validator checks a source: names a declared source and that mqtt/http bindings carry a topic/path. These are marked app-direct in the contract, so a generated bridge.py never tries to serve them.

Author the rest of the app's surface from Python too:

ui.publisher("heading", interval=0.25)                     # stream a sensor to a hub/server
ui.alert(event="broadcast", value_path="temp", operator="gt", value=30,
         title="Too hot", body="Greenhouse over 30°C")     # relay-watcher push rule
ui.glance(hero="temp", slots=["fan"], live_activity=True)  # widgets / Live Activity
ui.poll_group("tick", event="broadcast_request", interval=10, payload={"msg_type": "poll"})
ui.appearance(color_scheme="dark", show_header=True)
ui.dynamic_tab("inject_tab")                               # runtime-injected tab
ui.state(sync=True, authority="hub", acks=True)           # device-held shared state + acks

Prefer a declarative style? A class veneer compiles to the same layout — ids come from attribute names, tabs/groups are nested classes (great for fixed dashboards; the flat builder reads better for generated ones):

from carterkit.declare import Screen, Tab, Connect, Gauge, Button, StatusLight

class Dashboard(Screen, cols=4, rows=4):
    relay = Connect("ws://192.168.1.50:8765", channel="home")
    class Main(Tab, icon="gauge"):
        cpu  = Gauge(label="CPU", min=0, max=100, span=(2, 2), listen="cpu")
        warn = StatusLight(visible=cpu > 90)
        refresh = Button(label="Refresh", send="refresh")

Dashboard.save("dashboard.json")

Dynamic groups

Generate controls in for/if loops (auto-placed in the group's own grid), or mark a group dynamic="event" and replace its children live at runtime. Build that replacement payload with Fragment, then lint it against the broadcasts your server actually emits — catching events that never arrive, missing children arrays, and off-grid/invalid injected controls before they ship:

import carterkit
from carterkit import Fragment

ui.group("Now Playing", span=(3, 4), cols=4, rows=3, dynamic="player_state")

frag = Fragment(cols=4, rows=3)
frag.label("title", text="Song", span=(1, 4))
frag.button("play", label="Play", send="play")
# your server broadcasts frag.payload("player_state") == {"msg_type": ..., "children": [...]}

print(carterkit.format_findings(
    carterkit.lint_dynamic_traffic(ui.layout, [frag.payload("player_state")])))

Prefer surgical edits? LayoutBuffer gives add_control / update_control / move_control over a held draft; lay.buffer exposes it.

infer.build_layout(payload) generates a wired layout from a sample telemetry dict; codegen.generate_service_stub(layout) emits a runnable Hub-based server skeleton; theming.theme_for(...) and tune.tune_gauge(...) round out the authoring tools.

CLI

carterkit catalog                 # list every control type
carterkit doc gauge               # print a control's documentation
carterkit examples button         # list a control's examples (--name to print one)
carterkit validate layout.json    # lint a layout (exit 1 on errors)
carterkit gen layout.json         # generate a runnable Hub server stub
carterkit relay --port 8765       # run the bundled MeshSocket relay

Drive the layout you just built

The layout already declares every control's wire contract, so the same object that authored the UI also drives it — ctrl.push(value) derives the broadcast from the control's sync binding, and @ctrl.on derives the demux from its action:

import asyncio
from carterkit import Layout

with Layout("Thermostat") as ui:
    with ui.tab("Main"):
        temp   = ui.gauge("temp", label="Temp", min=0, max=40,
                          listen="temp", when={"msg_type": "climate"})
        target = ui.slider("target", min=10, max=30, send="set_target")

async def main():
    async with ui.serve() as hub:        # zero config: embedded LocalRelay
        print("pair the app with:", hub.qr_json())
        await hub.wait_for_device()
        await hub.push_layout()          # routed apply-layout; echoes what rendered

        @target.on
        async def _(data):
            heater.set(data["value"])

        while True:
            await temp.push(read_temp())
            await asyncio.sleep(2)

asyncio.run(main())

The same surface works cross-process off the saved JSON — the layout file is the contract: Hub("dashboard.json").push("temp", 21.5). Dynamic groups fill with hub.fill(group, fragment); the hub answers late joiners with the last pushed values (control-state authority) by default.

One connection story

Connection.parse(...) accepts every connection artifact in the ecosystem, and ui.connect(...) / ui.serve(...) / Hub(...) all take it:

You have Pass Works
nothing (LAN dev) ui.serve() embedded LocalRelay, QR pairing
a self-hosted relay "ws://192.168.1.50:8765" (+ token=) symmetric: same config for app & hub
Connect+ the Add Device JSON from the app (Members → Add Device) token self-refresh + room E2EE automatic

The asymmetry to know: self-hosted is symmetric (one URL + shared key both sides); on Connect+ the app joins with its own account while the hub holds the per-device credential — which is the hub's identity, so it is never embedded into a layout.

CarterClient remains the lower-level client (on/broadcast/request). End-to-end encryption (ChaCha20-Poly1305 + per-session salt) is transparent when an e2ee_key is present. Send a push to every device on a Connect+ account with CarterClient.notify(...) or the stdlib-only carterkit.notify_http(...).

Built on

meshsocket — the WebSocket mesh transport.

The ControlDocs are vendored from the CAR-TER app repo; refresh them with scripts/sync-controldocs.sh.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

carterkit-0.7.0.tar.gz (197.6 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

carterkit-0.7.0-py3-none-any.whl (212.3 kB view details)

Uploaded Python 3

File details

Details for the file carterkit-0.7.0.tar.gz.

File metadata

  • Download URL: carterkit-0.7.0.tar.gz
  • Upload date:
  • Size: 197.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.14

File hashes

Hashes for carterkit-0.7.0.tar.gz
Algorithm Hash digest
SHA256 c488c00d1cb580a444d1720fbcd02e293b0fa93d675fa63974201f1c652a5664
MD5 0526d4688e74c817895610b1211edc25
BLAKE2b-256 0c7976e795c60829b2b613791cde3de24b0affb9e15c22f7f9614b4762edcfc0

See more details on using hashes here.

Provenance

The following attestation bundles were made for carterkit-0.7.0.tar.gz:

Publisher: publish.yml on Mariner10/carterkit

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file carterkit-0.7.0-py3-none-any.whl.

File metadata

  • Download URL: carterkit-0.7.0-py3-none-any.whl
  • Upload date:
  • Size: 212.3 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.14

File hashes

Hashes for carterkit-0.7.0-py3-none-any.whl
Algorithm Hash digest
SHA256 e5d9def985ec43857f6f5e69326e5c3959fcc3aa8bada11de1acd90fb62d3d19
MD5 52b5031c5ce73dc82a61340477dae9c8
BLAKE2b-256 08ebeebb4fda15ba5b6d90e717b14ba0d8ade5ac89e7baa2479afe530f4b6af8

See more details on using hashes here.

Provenance

The following attestation bundles were made for carterkit-0.7.0-py3-none-any.whl:

Publisher: publish.yml on Mariner10/carterkit

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page