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App Fields, Resources & Context

An app field is a value on the runtime app value produced by fn boot: config data, dependency handlers, the per-life Context, or whatever else the program chooses to carry. Read one as MyApp.field; use with MyApp.field = value to rebind it for the rest of the current block. No globals, no service locators, no DI containers — just a typed app value and scoped overrides.

The smallest end-to-end example. A Logger interface, a concrete Stdout that implements it, a MyApp carrying the logger value, and a fn boot callback that produces the app value. From there, greet reads MyApp.logger directly:

import {
  std/app: App
  std/context: Context
  std/io: IO
}

interface Logger {
  fn log(logger: self, msg: String): Unit
}

type Stdout

impl Logger for Stdout {
  fn log(logger: Stdout, msg: String): Unit {
    IO.print("[log] ${msg}")
  }
}

struct MyApp {
  field context: Context
  field logger: Logger
}

impl App for MyApp

fn boot(): App {
  MyApp{context: Context.root(), logger: Stdout}
}

fn main() {
  greet("World")
}

fn greet(name: String) {
  Logger.log(MyApp.logger, "hello, ${name}")
}

A lot of moving parts the first time you see it. The pieces:

  • interface Logger — the contract. Whatever value is bound to logger must implement this.
  • MyApp — your project’s concrete app struct. Its impl App entry is stdlib’s signal that this is the app type; the compiler infers the field set so MyApp.field reads and with MyApp.field = ... overrides are type-checked.
  • fn boot(): App — the app-entry companion to fn main. The runtime calls it once before fn main to produce the app value. The returned struct gets staged as the implicit app value for fn main and everything below it.
  • MyApp.logger — a qualified read from the active app value. There is no bare logger binding; the app type stays visible at the use site.

In a multi-file package, concrete app types usually carry app-specific names such as MyApp, AdminApp, or WorkerApp.

A with MyApp.field = expr statement changes an active app field for the rest of the current block. Callees that read MyApp.field see the rebound value. Put the with inside an ordinary nested block when you want the rebind to roll back before the outer block continues:

import {
  std/app: App
  std/context: Context
  std/io: IO
}

interface Logger {
  fn log(logger: self, msg: String): Unit
}

type Stdout

impl Logger for Stdout {
  fn log(logger: Stdout, msg: String): Unit {
    IO.print("[log] ${msg}")
  }
}

struct PrefixedLogger {
  field tag: String
}

impl Logger for PrefixedLogger {
  fn log(logger: PrefixedLogger, msg: String): Unit {
    IO.print("[${logger.tag}] ${msg}")
  }
}

struct MyApp {
  field context: Context
  field logger: Logger
}

impl App for MyApp

fn boot(): App {
  MyApp{context: Context.root(), logger: Stdout}
}

fn main() {
  greet("World")

  {
    with MyApp.logger = PrefixedLogger{tag: "audit"}
    greet("Alice")
  }

  greet("Bob")
}

fn greet(name: String) {
  Logger.log(MyApp.logger, "hello, ${name}")
}

The with statement makes app-backed dependencies testable without test doubles or dependency injection scaffolding — just rebind. Multiple rebinds are just multiple sequential with statements.

Use resource name = expr for values that need a guaranteed close at the end of the current block. The value’s type implements Resource, and Nomi calls Resource.close automatically in reverse acquisition order. A function body is a block too; use an ordinary nested block when the resource should close before later statements in the same function continue:

import std/io: IO

struct Conn {
  field name: String
}

impl Resource for Conn {
  fn close(conn: Conn): Unit {
    IO.print("close ${conn.name}")
  }
}

fn main() {
  {
    resource first = Conn{name: "first"}
    resource second = Conn{name: "second"}
    IO.print("body")
  }

  IO.print("after")
}

Acquisition failure is ordinary control flow: write resource db = try Sqlite.temp() when setup returns Result. If the acquisition fails, db is not registered, and any earlier resources in the same block still close while the failure returns.

App fields are not caller-chain obligations. A function just reads the fields it needs through the active app type. Overrides flow down the call stack, so a deep callee reading MyApp.port sees the current scoped value:

import {
  std/app: App
  std/context: Context
  std/io: IO
}

interface Logger {
  fn log(logger: self, msg: String): Unit
}

type Stdout

impl Logger for Stdout {
  fn log(logger: Stdout, msg: String): Unit {
    IO.print(msg)
  }
}

struct MyApp {
  field context: Context
  field port: Int
  field logger: Logger
}

impl App for MyApp

fn boot(): App {
  MyApp{context: Context.root(), port: 8080, logger: Stdout}
}

fn main() {
  show_port()
}

fn show_port() {
  IO.print("listening on :${MyApp.port}")
}

show_port reads MyApp.port even though fn main does not mention port. Callers do not repeat a callee’s app needs.

The runtime calls app-entry fn boot(): App once before fn main. The returned struct (any type with an impl App entry, typically your project’s concrete app struct) becomes the active app value. A qualified read such as MyApp.logger resolves against that value when MyApp is the active app type.

Scoped overrides propagate down the call chain. When a function calls another function, the callee sees any active with MyApp.field = ... values from the caller frame.

When there’s no user-defined fn boot, Nomi provides a default root context. Code that wants to read app fields explicitly should define an app type and boot.

App-field access is deliberately not impurity tracking. A field may be plain data (port: Int) or a dependency interface (logger: Logger); the syntax is the same either way. The compiler checks that the field exists on the active app type.

with MyApp.field = expr rebinds an existing active app field for the remainder of the current block. You can’t pull a fresh app field out of thin air with with; the target must be a field on the active app type.

Multiple with statements are evaluated sequentially — a later rebind can reference an earlier one in scope:

with MyApp.logger = TaggedLogger{tag: "audit"}

with MyApp.clock = FakeClock{at: 12345}

audit_step()

After those statements, callees reading MyApp.logger see the new TaggedLogger; callees reading MyApp.clock see the new FakeClock. When the enclosing block exits, the rebindings revert.

Context — the per-life execution channel

Section titled “Context — the per-life execution channel”

std/context’s Context is the cancellation/deadline carrier threaded through every Nomi program. context is a regular app field: with MyApp.context = Context.with_timeout(MyApp.context, …) correctly threads the rebound context to every callee reached after the statement.

The v1 stdlib surface (std/context):

pub extern type Context {
  // Construct the root — for use in `fn boot` only.
  pub extern fn root(): Context

  // Read state.
  pub extern fn canceled?(c: Context): Bool

  pub extern fn deadline(c: Context): Maybe<Instant>

  pub extern fn deadline_remaining(c: Context): Maybe<Duration>

  // Derive a child with a new deadline / timeout.
  pub extern fn with_deadline(c: Context, at: Instant): Context

  pub extern fn with_timeout(c: Context, dur: Duration): Context

  // Attach and retrieve typed contextual values.
  pub extern fn with_value<'T>(c: Context, value: 'T): Context

  pub extern fn value<'T>(c: Context, value_type: Type<'T>): Maybe<'T>
}

with_deadline is the primitive; with_timeout is sugar for Context.with_deadline(c, Instant.add(Instant.now(), dur)). Every derived Context inherits cancellation from its parent — derive a child for a sub-task and the parent’s cancellation cancels every descendant.

User code can’t construct Context from scratch — only Context.root(), the with_* derivers, and the runtime mint Context values. This is what makes the cancellation tree well-formed.

Cascading cancellation across concurrent blocks

Section titled “Cascading cancellation across concurrent blocks”

Concurrency layer 1’s structured-concurrency rules (concurrent { async … }) compose with Context: each concurrent block derives its own Context from the active app value context, every async-spawned task inherits it, and cancellation-aware ops (Timer.sleep, Channel.send / receive, await) select on the underlying Go-side done channel. Put with MyApp.context = Context.with_timeout(MyApp.context, dur) in an ordinary block before concurrent { … } to give every task in the block a deadline — and try await(failing_task) short-circuits the block, cancelling every sibling task at the same point.

A Go host embedding the Nomi runtime constructs the root Context itself and injects it:

deadline := time.Now().Add(30 * time.Second)
root := runtime.NewRootContext(&deadline)
rt := runtime.New(runtime.WithOutput(os.Stdout))
rt.LoadSource("main", src)
rt.RunWithOptions(runtime.RunOptions{RootContext: root})

For individual reentrant Calls into Nomi code from Go, runtime.CallWithContext(root, fn, args…) threads a Go-side Context into the call frame. Context is opaque at the FFI boundary — rt.Marshal / rt.Unmarshal reject it, so it never leaks across host/guest in a way that would let either side construct one illegitimately.