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ST-Bionic-Memory-Ecology/prompt-profiles.js
2026-03-25 23:26:22 +08:00

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// ST-BME: 任务预设与兼容迁移层
const TASK_TYPES = [
"extract",
"recall",
"compress",
"synopsis",
"reflection",
"consolidation",
];
const TASK_TYPE_META = {
extract: {
label: "提取",
description: "从当前对话批次中抽取结构化记忆。",
},
recall: {
label: "召回",
description: "根据上下文筛选最相关的记忆节点。",
},
compress: {
label: "压缩",
description: "合并并压缩高层节点内容。",
},
synopsis: {
label: "概要",
description: "生成阶段性的全局剧情提要。",
},
reflection: {
label: "反思",
description: "沉淀长期趋势、触发点与建议。",
},
consolidation: {
label: "整合",
description: "分析新旧记忆的冲突、去重与进化。",
},
};
const BUILTIN_BLOCK_DEFINITIONS = [
{
sourceKey: "taskName",
name: "任务名",
role: "system",
description: "当前任务类型标识。",
},
{
sourceKey: "systemInstruction",
name: "系统说明",
role: "system",
description: "任务系统级说明或通用约束。",
},
{
sourceKey: "outputRules",
name: "输出规则",
role: "system",
description: "用于声明 JSON 或结构化输出要求。",
},
{
sourceKey: "schema",
name: "Schema",
role: "system",
description: "节点类型或字段定义。",
},
{
sourceKey: "recentMessages",
name: "最近消息",
role: "user",
description: "最近对话上下文或历史片段。",
},
{
sourceKey: "userMessage",
name: "用户消息",
role: "user",
description: "当前用户输入内容。",
},
{
sourceKey: "candidateNodes",
name: "候选节点",
role: "user",
description: "召回或整合阶段的候选节点列表。",
},
{
sourceKey: "graphStats",
name: "图统计",
role: "user",
description: "图谱状态或当前图概览。",
},
{
sourceKey: "currentRange",
name: "当前范围",
role: "user",
description: "当前处理的消息或楼层范围。",
},
{
sourceKey: "nodeContent",
name: "节点内容",
role: "user",
description: "待压缩或待处理的节点正文。",
},
{
sourceKey: "eventSummary",
name: "事件摘要",
role: "user",
description: "近期事件线摘要。",
},
{
sourceKey: "characterSummary",
name: "角色摘要",
role: "user",
description: "近期角色状态摘要。",
},
{
sourceKey: "threadSummary",
name: "主线摘要",
role: "user",
description: "活跃主线或当前线程摘要。",
},
{
sourceKey: "contradictionSummary",
name: "矛盾摘要",
role: "user",
description: "近期冲突或矛盾信息。",
},
];
const DEFAULT_TASK_PROFILE_VERSION = 1;
const DEFAULT_PROFILE_ID = "default";
const LEGACY_PROMPT_FIELD_MAP = {
extract: "extractPrompt",
recall: "recallPrompt",
compress: "compressPrompt",
synopsis: "synopsisPrompt",
reflection: "reflectionPrompt",
consolidation: "consolidationPrompt",
};
// ═══════════════════════════════════════════════════
// 默认预设拆块定义:每个任务 → 3 段(角色定义 / 输出格式 / 行为规则)
// ═══════════════════════════════════════════════════
const DEFAULT_TASK_BLOCKS = {
extract: {
role: "你是一个记忆提取分析器。从对话中提取结构化记忆节点并存入知识图谱。",
format: [
"输出格式为严格 JSON",
"{",
' \"thought\": \"你对本段对话的分析(事件/角色变化/新信息)\",',
' \"operations\": [',
" {",
' \"action\": \"create\",',
' \"type\": \"event\",',
' \"fields\": {\"title\": \"简短事件名\", \"summary\": \"...\", \"participants\": \"...\", \"status\": \"ongoing\"},',
' \"importance\": 6,',
' \"ref\": \"evt1\",',
' \"links\": [',
' {\"targetNodeId\": \"existing-id\", \"relation\": \"involved_in\", \"strength\": 0.9}',
" ]",
" },",
" {",
' \"action\": \"update\",',
' \"nodeId\": \"existing-node-id\",',
' \"fields\": {\"state\": \"新的状态\"}',
" }",
" ]",
"}",
].join("\n"),
rules: [
"- 每批对话最多创建 1 个事件节点,多个子事件合并为一条",
"- 角色/地点节点:如果图中已有同名节点,用 update 而非 create",
"- 不要虚构内容,只提取对话中有证据支持的信息",
"- importance 范围 1-10普通事件 5关键转折 8+",
"- event.fields.title 需要是简短事件名,建议 6-18 字,只用于图谱和列表显示",
"- summary 应该是摘要抽象,不要复制原文",
].join("\n"),
},
recall: {
role: "你是一个记忆召回分析器。\n根据用户最新输入和对话上下文从候选记忆节点中选择最相关的节点。",
format: '输出严格的 JSON 格式:\n{\"selected_ids\": [\"id1\", \"id2\", ...], \"reason\": \"简要说明选择理由\"}',
rules: "优先选择:\n (1) 直接相关的当前场景节点\n (2) 因果关系连续性节点\n (3) 有潜在影响的背景节点",
},
consolidation: {
role: "你是一个记忆整合分析器。当新记忆加入知识图谱时,你需要同时完成两项任务:",
format: [
"输出严格 JSON",
'{ \"results\": [',
' { \"node_id\": \"新记忆节点ID\",',
' \"action\": \"keep\"|\"merge\"|\"skip\",',
' \"merge_target_id\": \"旧节点ID (仅merge)\",',
' \"reason\": \"理由\",',
' \"evolution\": { \"should_evolve\": true/false, \"connections\": [\"旧记忆ID\"], \"neighbor_updates\": [...] }',
" }",
"] }",
].join("\n"),
rules: [
"任务一:冲突检测",
" - skip: 新记忆与已有记忆完全重复",
" - merge: 新记忆是对旧记忆的修正/补充",
" - keep: 新记忆是全新信息",
"",
"任务二:进化分析(仅 action=keep 时)",
" - 建立关联连接",
" - 反向更新旧记忆",
].join("\n"),
},
compress: {
role: "你是一个记忆压缩器。将多个同类型节点总结为一条更高层级的压缩节点。",
format: '输出格式为严格 JSON\n{\"fields\": {\"summary\": \"...\", ...}}',
rules: "- 保留关键信息:因果关系、不可逆结果、未解决伏笔\n- 去除重复和低信息密度内容\n- 压缩后文本应精炼,目标 150 字左右",
},
synopsis: {
role: "你是故事概要生成器。根据事件线、角色和主线生成简洁的前情提要。",
format: '输出 JSON{\"summary\": \"前情提要文本200字以内\"}',
rules: "要求:涵盖核心冲突、关键转折、主要角色当前状态。",
},
reflection: {
role: "你是 RP 长期记忆系统的反思生成器。",
format: '输出严格 JSON{\"insight\":\"...\",\"trigger\":\"...\",\"suggestion\":\"...\",\"importance\":1-10}',
rules: "- insight 应总结最近情节中最值得长期保留的变化、关系趋势或潜在线索\n- trigger 说明触发这条反思的关键事件或矛盾\n- suggestion 给出后续检索或叙事上值得关注的提示\n- 不要复述全部事件,要提炼高层结论",
},
};
export { DEFAULT_TASK_BLOCKS };
function nowIso() {
return new Date().toISOString();
}
function cloneJson(value) {
return JSON.parse(JSON.stringify(value ?? null));
}
function createUniqueId(prefix = "profile") {
return `${prefix}-${Date.now().toString(36)}-${Math.random().toString(36).slice(2, 7)}`;
}
function normalizeRole(role) {
const value = String(role || "system").trim().toLowerCase();
if (["system", "user", "assistant"].includes(value)) {
return value;
}
return "system";
}
function normalizeInjectionMode(mode) {
const value = String(mode || "append").trim().toLowerCase();
if (["append", "prepend", "relative"].includes(value)) {
return value;
}
return "append";
}
function normalizePromptBlock(taskType, block = {}, index = 0) {
const fallbackType = String(block?.type || "custom");
return {
id: String(block?.id || createPromptBlockId(taskType)),
name: typeof block?.name === "string" ? block.name : "",
type: fallbackType,
enabled: block?.enabled !== false,
role: normalizeRole(block?.role),
sourceKey: typeof block?.sourceKey === "string" ? block.sourceKey : "",
sourceField: typeof block?.sourceField === "string" ? block.sourceField : "",
content: typeof block?.content === "string" ? block.content : "",
injectionMode: normalizeInjectionMode(block?.injectionMode),
order: Number.isFinite(Number(block?.order)) ? Number(block.order) : index,
};
}
function normalizeRegexLocalRule(rule = {}, taskType = "task", index = 0) {
return {
id: String(rule?.id || createRegexRuleId(taskType)),
script_name: String(
rule?.script_name || rule?.scriptName || `本地规则 ${index + 1}`,
),
enabled: rule?.enabled !== false,
find_regex: String(rule?.find_regex || rule?.findRegex || ""),
replace_string: String(
rule?.replace_string ?? rule?.replaceString ?? "",
),
trim_strings: Array.isArray(rule?.trim_strings)
? rule.trim_strings.map((item) => String(item || ""))
: typeof rule?.trim_strings === "string"
? rule.trim_strings
: "",
source: {
user_input:
rule?.source?.user_input === undefined
? true
: Boolean(rule.source.user_input),
ai_output:
rule?.source?.ai_output === undefined
? true
: Boolean(rule.source.ai_output),
},
destination: {
prompt:
rule?.destination?.prompt === undefined
? true
: Boolean(rule.destination.prompt),
display: Boolean(rule?.destination?.display),
},
min_depth: Number.isFinite(Number(rule?.min_depth))
? Number(rule.min_depth)
: 0,
max_depth: Number.isFinite(Number(rule?.max_depth))
? Number(rule.max_depth)
: 9999,
};
}
function normalizeTaskProfilesState(taskProfiles = {}) {
return ensureTaskProfiles({ taskProfiles });
}
function getDefaultProfileDescription(taskType) {
return TASK_TYPE_META[taskType]?.description || "";
}
export function createPromptBlockId(taskType = "task") {
return createUniqueId(`${taskType}-block`);
}
export function createRegexRuleId(taskType = "task") {
return createUniqueId(`${taskType}-rule`);
}
export function createProfileId(taskType = "task") {
return createUniqueId(`${taskType}-profile`);
}
export function createDefaultTaskProfiles() {
const profiles = {};
for (const taskType of TASK_TYPES) {
profiles[taskType] = {
activeProfileId: DEFAULT_PROFILE_ID,
profiles: [createDefaultTaskProfile(taskType)],
};
}
return profiles;
}
export function createDefaultTaskProfile(taskType) {
const legacyPromptField = LEGACY_PROMPT_FIELD_MAP[taskType];
const defaults = DEFAULT_TASK_BLOCKS[taskType] || {};
return {
id: DEFAULT_PROFILE_ID,
name: "默认预设",
taskType,
version: DEFAULT_TASK_PROFILE_VERSION,
builtin: true,
enabled: true,
description: getDefaultProfileDescription(taskType),
promptMode: "block-based",
updatedAt: nowIso(),
blocks: [
{
id: "default-role",
name: "角色定义",
type: "custom",
enabled: true,
role: "system",
sourceKey: "",
sourceField: "",
content: defaults.role || "",
injectionMode: "append",
order: 0,
},
{
id: "default-format",
name: "输出格式",
type: "custom",
enabled: true,
role: "system",
sourceKey: "",
sourceField: "",
content: defaults.format || "",
injectionMode: "append",
order: 1,
},
{
id: "default-rules",
name: "行为规则",
type: "custom",
enabled: true,
role: "system",
sourceKey: "",
sourceField: "",
content: defaults.rules || "",
injectionMode: "append",
order: 2,
},
],
generation: {
max_context_tokens: null,
max_completion_tokens: null,
reply_count: null,
stream: false,
temperature: null,
top_p: null,
top_k: null,
top_a: null,
min_p: null,
seed: null,
frequency_penalty: null,
presence_penalty: null,
repetition_penalty: null,
squash_system_messages: null,
reasoning_effort: null,
request_thoughts: null,
enable_function_calling: null,
enable_web_search: null,
character_name_prefix: null,
wrap_user_messages_in_quotes: null,
},
regex: {
enabled: false,
inheritStRegex: true,
sources: {
global: true,
preset: true,
character: true,
},
stages: {
finalPrompt: true,
"input.userMessage": false,
"input.recentMessages": false,
"input.candidateText": false,
"input.finalPrompt": false,
rawResponse: false,
beforeParse: false,
"output.rawResponse": false,
"output.beforeParse": false,
},
localRules: [],
},
metadata: {
migratedFromLegacy: false,
legacyPromptField,
},
};
}
export function createCustomPromptBlock(taskType, overrides = {}) {
return normalizePromptBlock(taskType, {
id: createPromptBlockId(taskType),
name: "自定义块",
type: "custom",
enabled: true,
role: "system",
sourceKey: "",
sourceField: "",
content: "",
injectionMode: "append",
order: 0,
...overrides,
});
}
export function createBuiltinPromptBlock(taskType, sourceKey = "", overrides = {}) {
const definition =
BUILTIN_BLOCK_DEFINITIONS.find((item) => item.sourceKey === sourceKey) ||
BUILTIN_BLOCK_DEFINITIONS[0];
return normalizePromptBlock(taskType, {
id: createPromptBlockId(taskType),
name: definition?.name || "内置块",
type: "builtin",
enabled: true,
role: definition?.role || "system",
sourceKey: definition?.sourceKey || sourceKey,
sourceField: "",
content: "",
injectionMode: "append",
order: 0,
...overrides,
});
}
export function createLegacyPromptBlock(taskType, overrides = {}) {
const legacyField = LEGACY_PROMPT_FIELD_MAP[taskType] || "";
return normalizePromptBlock(taskType, {
id: createPromptBlockId(taskType),
name: "默认提示词",
type: "legacyPrompt",
enabled: true,
role: "system",
sourceKey: "",
sourceField: legacyField,
content: "",
injectionMode: "append",
order: 0,
...overrides,
});
}
export function createLocalRegexRule(taskType, overrides = {}) {
return normalizeRegexLocalRule(
{
id: createRegexRuleId(taskType),
script_name: "本地规则",
enabled: true,
find_regex: "",
replace_string: "",
trim_strings: "",
source: {
user_input: true,
ai_output: true,
},
destination: {
prompt: true,
display: false,
},
min_depth: 0,
max_depth: 9999,
...overrides,
},
taskType,
0,
);
}
export function ensureTaskProfiles(settings = {}) {
const existing = settings.taskProfiles;
const defaults = createDefaultTaskProfiles();
if (!existing || typeof existing !== "object") {
return defaults;
}
const normalized = {};
for (const taskType of TASK_TYPES) {
const current = existing[taskType] || {};
const defaultBucket = defaults[taskType];
const profiles =
Array.isArray(current.profiles) && current.profiles.length > 0
? current.profiles.map((profile) =>
normalizeTaskProfile(taskType, profile, settings),
)
: defaultBucket.profiles;
const activeProfileId =
typeof current.activeProfileId === "string" &&
profiles.some((profile) => profile.id === current.activeProfileId)
? current.activeProfileId
: profiles[0]?.id || DEFAULT_PROFILE_ID;
normalized[taskType] = {
activeProfileId,
profiles,
};
}
return normalized;
}
export function normalizeTaskProfile(taskType, profile = {}, settings = {}) {
const base = createDefaultTaskProfile(taskType);
const legacyPromptField = LEGACY_PROMPT_FIELD_MAP[taskType];
const blocks =
Array.isArray(profile.blocks) && profile.blocks.length > 0
? profile.blocks.map((block, index) =>
normalizePromptBlock(taskType, block, index),
)
: base.blocks.map((block, index) =>
normalizePromptBlock(taskType, block, index),
);
return {
...base,
...profile,
id: String(profile?.id || base.id),
name: String(profile?.name || base.name),
taskType,
builtin:
profile?.builtin === undefined
? profile?.id === DEFAULT_PROFILE_ID
: Boolean(profile?.builtin),
enabled: profile?.enabled !== false,
description:
typeof profile?.description === "string"
? profile.description
: base.description,
promptMode: String(profile?.promptMode || base.promptMode),
updatedAt:
typeof profile?.updatedAt === "string" && profile.updatedAt
? profile.updatedAt
: nowIso(),
blocks,
generation: {
...base.generation,
...(profile?.generation || {}),
},
regex: {
...base.regex,
...(profile?.regex || {}),
sources: {
...base.regex.sources,
...(profile?.regex?.sources || {}),
},
stages: {
...base.regex.stages,
...(profile?.regex?.stages || {}),
},
localRules: Array.isArray(profile?.regex?.localRules)
? profile.regex.localRules.map((rule, index) =>
normalizeRegexLocalRule(rule, taskType, index),
)
: [],
},
metadata: {
...base.metadata,
...(profile?.metadata || {}),
legacyPromptField,
legacyPromptSnapshot:
typeof settings?.[legacyPromptField] === "string"
? settings[legacyPromptField]
: "",
},
};
}
export function migrateLegacyTaskProfiles(settings = {}) {
const alreadyMigrated =
Number(settings.taskProfilesVersion) >= DEFAULT_TASK_PROFILE_VERSION;
const nextTaskProfiles = ensureTaskProfiles(settings);
let changed = !alreadyMigrated;
for (const taskType of TASK_TYPES) {
const legacyField = LEGACY_PROMPT_FIELD_MAP[taskType];
const legacyPrompt =
typeof settings?.[legacyField] === "string" ? settings[legacyField] : "";
const bucket = nextTaskProfiles[taskType];
if (!bucket || !Array.isArray(bucket.profiles) || bucket.profiles.length === 0) {
nextTaskProfiles[taskType] = {
activeProfileId: DEFAULT_PROFILE_ID,
profiles: [createDefaultTaskProfile(taskType)],
};
changed = true;
continue;
}
const firstProfile = bucket.profiles[0];
if (
firstProfile?.id === DEFAULT_PROFILE_ID &&
firstProfile?.metadata?.migratedFromLegacy !== true &&
legacyPrompt
) {
firstProfile.metadata = {
...(firstProfile.metadata || {}),
migratedFromLegacy: true,
legacyPromptField: legacyField,
legacyPromptSnapshot: legacyPrompt,
};
changed = true;
}
}
return {
changed,
taskProfilesVersion: DEFAULT_TASK_PROFILE_VERSION,
taskProfiles: nextTaskProfiles,
};
}
export function getActiveTaskProfile(settings = {}, taskType) {
const taskProfiles = ensureTaskProfiles(settings);
const bucket = taskProfiles?.[taskType];
if (!bucket?.profiles?.length) {
return createDefaultTaskProfile(taskType);
}
return (
bucket.profiles.find((profile) => profile.id === bucket.activeProfileId) ||
bucket.profiles[0]
);
}
export function getLegacyPromptForTask(settings = {}, taskType) {
const field = LEGACY_PROMPT_FIELD_MAP[taskType];
return typeof settings?.[field] === "string" ? settings[field] : "";
}
export function getLegacyPromptFieldForTask(taskType) {
return LEGACY_PROMPT_FIELD_MAP[taskType] || "";
}
export function getTaskTypeMeta(taskType) {
return {
id: taskType,
label: TASK_TYPE_META[taskType]?.label || taskType,
description: TASK_TYPE_META[taskType]?.description || "",
};
}
export function getTaskTypeOptions() {
return TASK_TYPES.map((taskType) => getTaskTypeMeta(taskType));
}
export function getTaskTypes() {
return [...TASK_TYPES];
}
export function getBuiltinBlockDefinitions() {
return BUILTIN_BLOCK_DEFINITIONS.map((definition) => ({ ...definition }));
}
export function cloneTaskProfile(profile = {}, options = {}) {
const taskType = String(options.taskType || profile.taskType || "extract");
const cloned = normalizeTaskProfile(taskType, cloneJson(profile));
const nextName = String(options.name || "").trim() || `${cloned.name} 副本`;
const nextProfile = {
...cloned,
id: createProfileId(taskType),
taskType,
name: nextName,
builtin: false,
updatedAt: nowIso(),
blocks: (Array.isArray(cloned.blocks) ? cloned.blocks : []).map(
(block, index) =>
normalizePromptBlock(
taskType,
{
...block,
id: createPromptBlockId(taskType),
order: index,
},
index,
),
),
regex: {
...(cloned.regex || {}),
localRules: Array.isArray(cloned?.regex?.localRules)
? cloned.regex.localRules.map((rule, index) =>
normalizeRegexLocalRule(
{
...rule,
id: createRegexRuleId(taskType),
},
taskType,
index,
),
)
: [],
},
metadata: {
...(cloned.metadata || {}),
clonedFromId: cloned.id || "",
clonedAt: nowIso(),
},
};
return nextProfile;
}
export function upsertTaskProfile(
taskProfiles = {},
taskType,
profile,
options = {},
) {
const normalizedState = normalizeTaskProfilesState(taskProfiles);
const bucket = normalizedState[taskType] || {
activeProfileId: DEFAULT_PROFILE_ID,
profiles: [],
};
const normalizedProfile = normalizeTaskProfile(taskType, {
...(profile || {}),
updatedAt: nowIso(),
});
const nextProfiles = [...bucket.profiles];
const existingIndex = nextProfiles.findIndex(
(item) => item.id === normalizedProfile.id,
);
if (existingIndex >= 0) {
nextProfiles.splice(existingIndex, 1, normalizedProfile);
} else if (normalizedProfile.id === DEFAULT_PROFILE_ID) {
nextProfiles.unshift(normalizedProfile);
} else {
nextProfiles.push(normalizedProfile);
}
normalizedState[taskType] = {
activeProfileId:
options.setActive === false
? bucket.activeProfileId
: normalizedProfile.id,
profiles: nextProfiles.map((item, index) =>
normalizeTaskProfile(taskType, {
...item,
blocks: Array.isArray(item.blocks)
? item.blocks.map((block, blockIndex) => ({
...block,
order: Number.isFinite(Number(block?.order))
? Number(block.order)
: blockIndex,
}))
: [],
builtin: item.id === DEFAULT_PROFILE_ID ? true : item.builtin,
updatedAt:
item.id === normalizedProfile.id ? normalizedProfile.updatedAt : item.updatedAt,
}),
),
};
return normalizedState;
}
export function setActiveTaskProfileId(taskProfiles = {}, taskType, profileId) {
const normalizedState = normalizeTaskProfilesState(taskProfiles);
const bucket = normalizedState[taskType];
if (!bucket?.profiles?.some((profile) => profile.id === profileId)) {
return normalizedState;
}
normalizedState[taskType] = {
...bucket,
activeProfileId: profileId,
};
return normalizedState;
}
export function deleteTaskProfile(taskProfiles = {}, taskType, profileId) {
if (!profileId) return normalizeTaskProfilesState(taskProfiles);
const normalizedState = normalizeTaskProfilesState(taskProfiles);
const bucket = normalizedState[taskType];
if (!bucket?.profiles?.length) {
return normalizedState;
}
const remaining = bucket.profiles.filter((profile) => profile.id !== profileId);
if (remaining.length === 0) {
normalizedState[taskType] = {
activeProfileId: DEFAULT_PROFILE_ID,
profiles: [createDefaultTaskProfile(taskType)],
};
return normalizedState;
}
normalizedState[taskType] = {
activeProfileId: remaining.some(
(profile) => profile.id === bucket.activeProfileId,
)
? bucket.activeProfileId
: remaining[0].id,
profiles: remaining,
};
return normalizedState;
}
export function restoreDefaultTaskProfile(taskProfiles = {}, taskType) {
const normalizedState = normalizeTaskProfilesState(taskProfiles);
const bucket = normalizedState[taskType] || {
activeProfileId: DEFAULT_PROFILE_ID,
profiles: [],
};
const defaultProfile = createDefaultTaskProfile(taskType);
const remaining = (bucket.profiles || []).filter(
(profile) => profile.id !== DEFAULT_PROFILE_ID,
);
normalizedState[taskType] = {
activeProfileId: DEFAULT_PROFILE_ID,
profiles: [defaultProfile, ...remaining],
};
return normalizedState;
}
export function exportTaskProfile(taskProfiles = {}, taskType, profileId = "") {
const normalizedState = normalizeTaskProfilesState(taskProfiles);
const bucket = normalizedState[taskType];
const profile =
bucket?.profiles?.find((item) => item.id === profileId) ||
bucket?.profiles?.[0];
if (!profile) {
throw new Error(`Task profile not found: ${taskType}/${profileId}`);
}
return {
format: "st-bme-task-profile",
version: DEFAULT_TASK_PROFILE_VERSION,
taskType,
exportedAt: nowIso(),
profile: cloneJson(profile),
};
}
export function importTaskProfile(
taskProfiles = {},
rawInput,
preferredTaskType = "",
) {
const parsed =
typeof rawInput === "string" ? JSON.parse(rawInput) : cloneJson(rawInput);
const candidate =
parsed?.profile && typeof parsed.profile === "object"
? parsed.profile
: parsed;
const importedTaskType = String(
preferredTaskType || parsed?.taskType || candidate?.taskType || "",
).trim();
if (!TASK_TYPES.includes(importedTaskType)) {
throw new Error(`Unsupported task type: ${importedTaskType || "(empty)"}`);
}
const bucket = normalizeTaskProfilesState(taskProfiles)[importedTaskType];
const baseName = String(candidate?.name || "").trim() || "导入预设";
const importedProfile = normalizeTaskProfile(importedTaskType, {
...candidate,
id: createProfileId(importedTaskType),
taskType: importedTaskType,
name: baseName,
builtin: false,
updatedAt: nowIso(),
metadata: {
...(candidate?.metadata || {}),
importedAt: nowIso(),
},
blocks: Array.isArray(candidate?.blocks) && candidate.blocks.length > 0
? candidate.blocks.map((block, index) => ({
...block,
id: createPromptBlockId(importedTaskType),
order: index,
}))
: createDefaultTaskProfile(importedTaskType).blocks,
regex: {
...(candidate?.regex || {}),
localRules: Array.isArray(candidate?.regex?.localRules)
? candidate.regex.localRules.map((rule) => ({
...rule,
id: createRegexRuleId(importedTaskType),
}))
: [],
},
});
const nextTaskProfiles = upsertTaskProfile(
{
...normalizeTaskProfilesState(taskProfiles),
[importedTaskType]: bucket,
},
importedTaskType,
importedProfile,
{ setActive: true },
);
return {
taskProfiles: nextTaskProfiles,
taskType: importedTaskType,
profile: importedProfile,
};
}