Expand description
Device profiles: named, ready-to-run nodes assembled from pamoja capabilities.
Most people who can put a sensor to good use are not electrical engineers, and the gap between “I can read a sensor” and “I built something that works and warns me when it fails” is wiring, tuning, and glue code. A device profile closes that gap. It is a named, pre-wired bundle - a control policy, a publish topic, and a power schedule - that a builder instantiates instead of choosing algorithms and constants by hand.
This guide runs from the simplest use to a fully themed dashboard. Skip to Which pieces do I need? for a one-line map.
§The shape of a profile
Profileis the manifest: plain data a community can publish and share, carrying aControlSpec, aPowerSchedule, and an optionalPresentation. It serializes to and from JSON withProfile::to_jsonandProfile::from_json, so a profile ships as a file and loads onto a device. The presetsProfile::vaccine_fridge_monitor,Profile::irrigation_node,Profile::well_level, andProfile::flood_sensorare convenience constructors for the same data.Nodeis what the runtime assembles from a profile and real components: aSensor, anActuator, aTransport, and aCodec. Eachtickreads, decides, drives the output, and publishes.
The decision logic is a Controller that composes the pamoja-kit helpers, so a
profile is glue over field-tested math rather than new behavior. Its I/O is async; its
decisions are synchronous and hardware-free, so a whole control policy is unit-testable
with no devices and no network.
§Start simple: pick a preset
The quickest path is a named preset. Hand its controller a reading and it decides:
use pamoja_profile::{Alert, Profile};
let mut control = Profile::vaccine_fridge_monitor().controller();
// A warm fridge: the cooler runs and a spoilage excursion is flagged.
let reaction = control.evaluate(9.0);
assert_eq!(reaction.actuator, Some(true));
assert!(matches!(reaction.alert, Some(Alert::OutOfRange { .. })));§The manifest: write it, share it, load it
A profile is just data, so a community can write one as JSON, store it in a file, and
share it - no code. Profile::from_json loads it and Profile::to_json writes it
back; the power thresholds are optional and default when omitted.
use pamoja_profile::Profile;
let manifest = r#"{
"name": "rain-tank",
"topic": "water/tank/level",
"control": { "kind": "level", "empty": 0.0, "warn_within": 5 },
"power": { "active_secs": 600, "saver_secs": 1800, "critical_secs": 3600 }
}"#;
let profile = Profile::from_json(manifest).expect("a valid manifest");
assert_eq!(profile.name, "rain-tank");
assert!(profile.to_json().unwrap().contains("rain-tank"));§Control policies
Every profile names one ControlSpec, the rule applied to each reading:
Setpointholds a value by switching an output on and off (a fridge’s cooler, an irrigation valve) and alerts when the reading leaves a safe band.Levelwatches a falling level and warns before it reaches empty.Surgewarns when a reading changes faster than a safe rate (a flash flood).Monitoronly reports, with no output and no alert.
Every field is public, so a deployment can build or tune a policy in place:
use pamoja_profile::{ControlSpec, PowerSchedule, Profile};
// Hold soil moisture near 35% by opening a valve - a "heater" for moisture.
let profile = Profile {
name: "drip-node".to_owned(),
topic: "farm/soil-moisture".to_owned(),
control: ControlSpec::Setpoint { setpoint: 35.0, hysteresis: 5.0, cooling: false, safe_band: 25.0 },
power: PowerSchedule::new(300, 1800, 3600),
presentation: None,
};
let mut control = profile.controller();
assert_eq!(control.evaluate(28.0).actuator, Some(true)); // dry: the valve opens§Power: sampling that follows the battery
A PowerSchedule sets how often a node samples as its battery drains - often when
healthy, sparingly when low - and eases back toward the active cadence while charging.
Node::schedule turns it into the power mode and the interval to wait before the
next tick.
§Custom dashboard elements
The local-first dashboard (the pamoja-dashboard crate) draws a built-in set of sensor
types. When a deployment measures something beyond it, the profile declares the extra
as a Presentation, and the dashboard renders it with no page change. Each
ElementSpec names a stable key and unit, the graphic to draw it with (Viz), an
optional safe band, a label (with optional per-locale labels), whether it is a node
stat, and which groups it is offered on (Scope). A Theme tints the console, and
with_message localizes any custom state or event code
the profile emits.
The full set of graphics is Viz::ALL, fifteen hand-drawn instruments: a
Sparkline, a 270-degree Gauge, a needle
Dial, a Bar, a Thermometer, a
Droplet, a Battery, a Wind rotor, a
Sun, an acoustic Wave, a Switch chip, a
Valve, a hash Chain, a Mesh map, and a
Count. Each renders to a stable kind (Viz::kind) the page draws.
use pamoja_profile::{ElementSpec, Presentation, Profile, Scope, Theme, Viz};
let profile = Profile::well_level().with_presentation(
Presentation::new()
// A turbidity probe drawn as a gauge. WHO drinking-water turbidity stays under 5 NTU.
.with_element(
ElementSpec::new("water_turbidity", "ntu", "Turbidity", Viz::Gauge)
.with_band(0.0, 5.0)
.with_locale_label("fr", "Turbidité"),
)
// A node stat (telemetry about the node itself), offered only on mesh links.
.with_element(
ElementSpec::new("packets_dropped", "count", "Packets dropped", Viz::Count)
.as_stat()
.on(Scope::Links(vec!["mesh".to_owned()])),
)
// Words for a custom state the profile emits, and a brand accent.
.with_message("state.flushing", "Flushing")
.with_theme(Theme { accent: Some("#3fb1c8".to_owned()), ..Theme::default() }),
);
let turbidity = &profile.presentation.as_ref().unwrap().elements[0];
assert_eq!(turbidity.viz.kind(), "radial"); // Gauge draws as the radial arch
assert_eq!(Viz::ALL.len(), 15); // fifteen graphics to choose from§Show it on a dashboard, wire it to your project
The dashboard side lives in the pamoja-dashboard crate: build a catalog from your
profiles and serve it, gate which sensors a client may add, and feed live readings into
the graphic a profile chose. This is the whole loop (its examples/gateway.rs is a
runnable version):
use pamoja_dashboard::{Assets, Catalog, Fleet, LinkKind, Reading, Sensor, Server, Viz};
let fleet = Fleet::builder()
.org("farm", "Pamoja farm")
.group("farm", "field", "Field node", LinkKind::Lora)
.sensor("field", Sensor::new("turbidity",
Reading::new("water_turbidity", 2.4, "ntu").with_band(0.0, 5.0).with_viz(Viz::Gauge)))
.build();
// A real device only accepts the sensors it can bind; anything else is refused.
fleet.allow_sensors(["water_turbidity", "drip_valve"]);
Server::new(fleet, Assets::Embedded)
.with_catalog(Catalog::from_profiles(&[&profile])) // served at GET /catalog
.run("0.0.0.0:80")
.unwrap();From your own sampling loop you push each real reading in with report_reading, and the
dashboard reads it; control actions queue back for you to apply. See the
pamoja-dashboard crate for the full push model, pairing, and the served catalog.
§Which pieces do I need?
- Just want it to work? Pick a preset and call
controller. - Sharing a recipe? Write a JSON manifest and load it with
Profile::from_json. - A sensor we do not draw? Add an
ElementSpecwith theVizyou want. - Your own look and words? Add a
Themeandwith_messagefor custom states and events.
Structs§
- Controller
- The assembled, stateful decision logic of a profile.
- Element
Spec - A custom sensor or node stat a profile contributes to the dashboard.
- NoActuator
- An actuator that accepts and ignores commands.
- Node
- A profile assembled around the components that make it run.
- Power
Schedule - How often a node samples as its battery drains, in plain seconds.
- Presentation
- How a profile presents itself on the dashboard: its custom elements and theme.
- Profile
- A named, pre-wired bundle of control policy, publish topic, and power schedule.
- Reaction
- The outcome of evaluating one reading against a profile’s control policy.
- Theme
- A small set of theme tokens a profile can set on the dashboard.
Enums§
- Alert
- An alert raised when a reading crosses a profile’s safety threshold.
- Control
Spec - How a profile turns each reading into control output and alerts.
- Localized
Text - A piece of human-facing text a profile supplies, either one string for every locale or a per-locale map.
- Scope
- Which groups a declared element is offered on when a user adds a sensor.
- Viz
- The graphic a reading is drawn with on the dashboard.