rea/tests/composition/process-capture/processReactiveRuntimePredi...

254 lines
7.3 KiB
TypeScript

import { describe, expect, it } from "vitest";
import {
createProcessObservation,
type ProcessObservationSource,
} from "../../../src/domain/processObservation.js";
import {
commitProcessReactiveProposal,
createProcessReactiveSnapshot,
reduceProcessReactiveScenario,
} from "../../../src/domain/processReactiveRuntime.js";
import {
processReactiveScenarioSchema,
type ProcessReactiveAction,
type ProcessReactiveScenario,
} from "../../../src/domain/processReactiveScenario.js";
const terminalTrigger = (literal = "Ready") => ({
kind: "terminal_text" as const,
view: "decoded" as const,
encoding: "utf8" as const,
literal,
case_sensitive: true,
control_sequences: "include" as const,
occurrence: 1,
since: { kind: "scenario_start" as const },
consume: false,
});
const scenarioWith = (
transitions: readonly unknown[],
): ProcessReactiveScenario =>
processReactiveScenarioSchema.parse({
version: 1,
initial_state: "starting",
deadline_ms: 30000,
states: [
{
id: "starting",
max_visits: 4,
deadline_ms: 5000,
on: transitions,
},
],
});
const finish = (
id: string,
when: unknown,
priority = 100,
actions: readonly unknown[] = [],
) => ({
id,
priority,
max_uses: 4,
when,
actions,
target: { kind: "finish", outcome: "passed" },
});
const collectionFor = (source: ProcessObservationSource) => {
switch (source) {
case "terminal_raw":
return "frames" as const;
case "terminal_rendered":
return "rendered_frames" as const;
case "process":
return "process_samples" as const;
case "filesystem":
return "filesystem_checkpoints" as const;
case "shim":
return "shim_events" as const;
case "http":
case "websocket":
return "protocol_events" as const;
case "replay_transition":
return "replay_transitions" as const;
case "interaction":
return "interaction_events" as const;
case "lifecycle":
return "lifecycle" as const;
}
};
const observation = (
source: ProcessObservationSource,
order: number,
payload: unknown,
) =>
createProcessObservation({
source,
source_sequence: order,
captured_at_ms: order,
subject_id: null,
location: {
collection: collectionFor(source),
index: order,
capture_order: order,
},
payload,
});
const succeededEffect = (action: ProcessReactiveAction, order: number) => ({
status: "succeeded" as const,
observation:
action.type === "checkpoint"
? observation("filesystem", order, { name: action.name })
: observation("interaction", order, {
type:
action.type === "send_input"
? "input"
: action.type === "resize"
? "resize"
: action.type === "close_stdin"
? "stdin_close"
: "signal",
data:
action.type === "send_input"
? action.sensitive
? `<redacted-input:${String(Buffer.byteLength(action.data))}-bytes>`
: action.data
: action.type === "resize"
? `${String(action.columns)}x${String(action.rows)}`
: action.type === "close_stdin"
? ""
: action.signal,
outcome: "dispatched",
}),
});
const offer = (
scenario: ProcessReactiveScenario,
snapshot: ReturnType<typeof createProcessReactiveSnapshot>,
value: ReturnType<typeof observation>,
) => {
const proposed = reduceProcessReactiveScenario(scenario, snapshot, {
kind: "observation",
observation: value,
});
return proposed.kind === "proposal"
? commitProcessReactiveProposal(
scenario,
proposed,
proposed.effects.map((effect, index) => ({
...succeededEffect(
effect,
(proposed.snapshot.observations.at(-1)?.capture_order ?? -1) +
index +
1,
),
})),
)
: proposed;
};
describe("process reactive runtime predicates", () => {
it("rejects an exhausted state visit before proposing effects", () => {
const scenario = processReactiveScenarioSchema.parse({
version: 1,
initial_state: "loop",
deadline_ms: 30000,
states: [
{
id: "loop",
max_visits: 1,
deadline_ms: 5000,
on: [
{
...finish("again", terminalTrigger(), 100, [
{
type: "send_signal",
target: { kind: "root" },
signal: "SIGKILL",
},
]),
target: { kind: "goto", state: "loop" },
},
],
},
],
});
const decision = reduceProcessReactiveScenario(
scenario,
createProcessReactiveSnapshot(scenario),
{
kind: "observation",
observation: observation("terminal_raw", 0, { data: "Ready" }),
},
);
expect(decision).toMatchObject({
kind: "finished",
outcome: "capture_incomplete",
});
expect(decision).not.toHaveProperty("effects");
});
it("classifies deadlines and non-monotonic observation input", () => {
const scenario = scenarioWith([finish("ready", terminalTrigger())]);
const initial = createProcessReactiveSnapshot(scenario);
expect(
reduceProcessReactiveScenario(scenario, initial, {
kind: "state_deadline",
state_id: "starting",
state_entry_capture_order: 0,
}),
).toMatchObject({ kind: "finished", outcome: "predicate_timeout" });
expect(
reduceProcessReactiveScenario(scenario, initial, {
kind: "state_deadline",
state_id: "previous",
state_entry_capture_order: 0,
}),
).toMatchObject({ kind: "waiting", snapshot: initial });
expect(
reduceProcessReactiveScenario(scenario, initial, {
kind: "scenario_deadline",
}),
).toMatchObject({ kind: "finished", outcome: "scenario_deadline" });
expect(
reduceProcessReactiveScenario(scenario, initial, { kind: "cancelled" }),
).toMatchObject({ kind: "finished", outcome: "cancelled" });
expect(
reduceProcessReactiveScenario(scenario, initial, {
kind: "cleanup_failed",
}),
).toMatchObject({ kind: "finished", outcome: "cleanup_failed" });
const passed = offer(
scenario,
initial,
observation("terminal_raw", 0, { data: "Ready" }),
);
expect(
reduceProcessReactiveScenario(scenario, passed.snapshot, {
kind: "cleanup_failed",
}),
).toMatchObject({ kind: "finished", outcome: "cleanup_failed" });
const first = offer(
scenario,
initial,
observation("shim", 1, { name: "later" }),
);
const invalid = offer(
scenario,
first.snapshot,
observation("shim", 0, { name: "earlier" }),
);
expect(invalid).toMatchObject({
kind: "finished",
outcome: "capture_incomplete",
});
const duplicate = observation("shim", 1, { name: "later" });
expect(offer(scenario, first.snapshot, duplicate)).toMatchObject({
kind: "finished",
outcome: "capture_incomplete",
});
expect(
offer(scenario, first.snapshot, {
...duplicate,
payload: { name: "changed" },
}),
).toMatchObject({ kind: "finished", outcome: "capture_incomplete" });
});
});