Files
ST-Bionic-Memory-Ecology/tests/extractor-owner-scope.mjs
2026-04-10 15:14:19 +08:00

281 lines
6.6 KiB
JavaScript

import assert from "node:assert/strict";
import {
installResolveHooks,
toDataModuleUrl,
} from "./helpers/register-hooks-compat.mjs";
const extensionsShimSource = [
"export const extension_settings = {};",
"export function getContext() {",
" return globalThis.__stBmeTestContext || {",
" chat: [],",
" chatMetadata: {},",
" extensionSettings: {},",
" powerUserSettings: {},",
" characters: {},",
" characterId: null,",
" name1: '玩家',",
" name2: '',",
" chatId: 'test-chat',",
" };",
"}",
].join("\n");
const scriptShimSource = [
"export function getRequestHeaders() {",
" return {};",
"}",
"export function substituteParamsExtended(value) {",
" return String(value ?? '');",
"}",
].join("\n");
const openAiShimSource = [
"export const chat_completion_sources = {};",
"export async function sendOpenAIRequest() {",
" throw new Error('sendOpenAIRequest should not be called in extractor-owner-scope test');",
"}",
].join("\n");
installResolveHooks([
{
specifiers: [
"../../../extensions.js",
"../../../../extensions.js",
"../../../../../extensions.js",
],
url: toDataModuleUrl(extensionsShimSource),
},
{
specifiers: [
"../../../../script.js",
"../../../../../script.js",
],
url: toDataModuleUrl(scriptShimSource),
},
{
specifiers: [
"../../../../openai.js",
"../../../../../openai.js",
],
url: toDataModuleUrl(openAiShimSource),
},
]);
const { createEmptyGraph, createNode, addNode } = await import("../graph/graph.js");
const { DEFAULT_NODE_SCHEMA } = await import("../graph/schema.js");
const { extractMemories } = await import("../maintenance/extractor.js");
function setTestOverrides(overrides = {}) {
globalThis.__stBmeTestOverrides = overrides;
return () => {
delete globalThis.__stBmeTestOverrides;
};
}
globalThis.__stBmeTestContext = {
chat: [],
chatMetadata: {},
extensionSettings: {},
powerUserSettings: {},
characters: {},
characterId: null,
name1: "玩家",
name2: "",
chatId: "test-chat",
};
{
const graph = createEmptyGraph();
addNode(
graph,
createNode({
type: "character",
fields: { name: "艾琳" },
seq: 1,
}),
);
addNode(
graph,
createNode({
type: "character",
fields: { name: "露西亚" },
seq: 1,
}),
);
globalThis.__stBmeTestContext.name2 = "群像卡";
const restore = setTestOverrides({
llm: {
async callLLMForJSON() {
return {
operations: [
{
action: "create",
type: "pov_memory",
fields: { summary: "有人觉得钟楼里还有问题" },
},
],
cognitionUpdates: [
{
knownRefs: ["evt-missing"],
},
],
regionUpdates: {},
};
},
},
});
try {
const result = await extractMemories({
graph,
messages: [{ seq: 3, role: "assistant", content: "多人场景测试" }],
startSeq: 3,
endSeq: 3,
schema: DEFAULT_NODE_SCHEMA,
embeddingConfig: null,
settings: {},
});
assert.equal(result.success, true);
assert.equal(
graph.nodes.filter((node) => !node.archived && node.type === "pov_memory").length,
0,
);
assert.ok(Array.isArray(result.ownerWarnings));
assert.ok(
result.ownerWarnings.some((warning) => warning.kind === "invalid-owner-scope"),
);
} finally {
restore();
}
}
{
const graph = createEmptyGraph();
addNode(
graph,
createNode({
type: "character",
fields: { name: "艾琳" },
seq: 1,
}),
);
globalThis.__stBmeTestContext.name2 = "艾琳";
const restore = setTestOverrides({
llm: {
async callLLMForJSON() {
return {
operations: [
{
action: "create",
type: "pov_memory",
fields: { summary: "艾琳觉得钟楼里藏着第二条暗道" },
},
],
cognitionUpdates: [],
regionUpdates: {},
};
},
},
});
try {
const result = await extractMemories({
graph,
messages: [{ seq: 5, role: "assistant", content: "单角色场景测试" }],
startSeq: 5,
endSeq: 5,
schema: DEFAULT_NODE_SCHEMA,
embeddingConfig: null,
settings: {},
});
assert.equal(result.success, true);
const povNode = graph.nodes.find(
(node) => !node.archived && node.type === "pov_memory",
);
assert.ok(povNode);
assert.equal(povNode.scope?.ownerType, "character");
assert.equal(povNode.scope?.ownerName, "艾琳");
} finally {
restore();
}
}
{
const graph = createEmptyGraph();
globalThis.__stBmeTestContext.name1 = "邱谁";
globalThis.__stBmeTestContext.name2 = "群像卡";
const restore = setTestOverrides({
llm: {
async callLLMForJSON() {
return {
operations: [
{
action: "create",
type: "pov_memory",
scope: {
layer: "pov",
ownerType: "character",
ownerName: "邱 谁",
ownerId: "邱 谁",
},
fields: { summary: "她感觉对方在试探自己的底线" },
},
],
cognitionUpdates: [
{
ownerType: "character",
ownerName: "【邱谁】",
knownRefs: [],
},
],
regionUpdates: {},
};
},
},
});
try {
const result = await extractMemories({
graph,
messages: [{ seq: 7, role: "assistant", content: "用户名误标测试" }],
startSeq: 7,
endSeq: 7,
schema: DEFAULT_NODE_SCHEMA,
embeddingConfig: null,
settings: {},
});
assert.equal(result.success, true);
const povNode = graph.nodes.find(
(node) => !node.archived && node.type === "pov_memory",
);
assert.ok(povNode);
assert.equal(povNode.scope?.ownerType, "user");
assert.equal(povNode.scope?.ownerName, "邱谁");
const knowledgeOwners = Object.values(graph.knowledgeState?.owners || {});
assert.equal(
knowledgeOwners.some(
(entry) =>
String(entry?.ownerType || "") === "character" &&
String(entry?.ownerName || "") === "邱谁",
),
false,
);
assert.equal(
knowledgeOwners.some(
(entry) =>
String(entry?.ownerType || "") === "user" &&
String(entry?.ownerName || "") === "邱谁",
),
true,
);
} finally {
restore();
}
}
console.log("extractor-owner-scope tests passed");