mirror of
https://github.com/Wx-2025/ST-Amily2-Chat-Optimisation.git
synced 2026-06-06 11:35:50 +00:00
390 lines
16 KiB
JavaScript
390 lines
16 KiB
JavaScript
import { getContext, extension_settings } from "/scripts/extensions.js";
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import { loadWorldInfo } from "/scripts/world-info.js";
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import { saveChat } from "/script.js";
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import { renderTables } from '../../ui/table-bindings.js';
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import { updateOrInsertTableInChat } from '../../ui/message-table-renderer.js';
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import { extensionName } from "../../utils/settings.js";
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import { updateTableFromText, getBatchFillerRuleTemplate, getBatchFillerFlowTemplate, convertTablesToCsvString, saveStateToMessage, getMemoryState, clearHighlights } from './manager.js';
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import { getPresetPrompts, getMixedOrder } from '../../PresetSettings/index.js';
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import { callAI, generateRandomSeed } from '../api.js';
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import { callNccsAI } from '../api/NccsApi.js';
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import { extractBlocksByTags, applyExclusionRules } from '../utils/rag-tag-extractor.js';
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import { safeLorebookEntries } from '../tavernhelper-compatibility.js';
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async function getWorldBookContext() {
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const settings = extension_settings[extensionName];
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if (!settings.table_worldbook_enabled) {
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return '';
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}
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const selectedEntriesByBook = settings.table_selected_entries || {};
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const booksToInclude = Object.keys(selectedEntriesByBook);
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const selectedEntryUids = new Set(Object.values(selectedEntriesByBook).flat());
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if (booksToInclude.length === 0 || selectedEntryUids.size === 0) {
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return '';
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}
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let allEntries = [];
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for (const bookName of booksToInclude) {
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try {
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const entries = await safeLorebookEntries(bookName);
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if (entries?.length) {
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entries.forEach(entry => allEntries.push({ ...entry, bookName }));
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}
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} catch (error) {
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console.error(`[Amily2-副API] Error loading entries for world book: ${bookName}`, error);
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}
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}
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const userEnabledEntries = allEntries.filter(entry => {
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return entry && selectedEntryUids.has(String(entry.uid));
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});
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if (userEnabledEntries.length === 0) {
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return '';
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}
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let content = userEnabledEntries.map(entry =>
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`[来源：世界书，条目名字：${entry.comment || '无标题条目'}]\n${entry.content}`
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).join('\n\n');
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const maxChars = settings.table_worldbook_char_limit || 30000;
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if (content.length > maxChars) {
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content = content.substring(0, maxChars);
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const lastNewline = content.lastIndexOf('\n');
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if (lastNewline !== -1) {
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content = content.substring(0, lastNewline);
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}
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content += '\n[...内容已截断]';
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}
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return content.trim() ? `<世界书>\n${content.trim()}\n</世界书>` : '';
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}
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export async function fillWithSecondaryApi(latestMessage, forceRun = false) {
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clearHighlights();
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const context = getContext();
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if (context.chat.length <= 1) {
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console.log("[Amily2-副API] 聊天刚开始，跳过本次自动填表。");
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return;
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}
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const settings = extension_settings[extensionName];
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const fillingMode = settings.filling_mode || 'main-api';
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if (fillingMode !== 'secondary-api' && !forceRun) {
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log('当前非分步填表模式，且未强制执行，跳过。', 'info');
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return;
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}
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if (window.AMILY2_SYSTEM_PARALYZED === true) {
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console.error("[Amily2-制裁] 系统完整性已受损，所有外交活动被无限期中止。");
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return;
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}
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const { apiUrl, apiKey, model, temperature, maxTokens, forceProxyForCustomApi } = settings;
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if (!apiUrl || !model) {
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if (!window.secondaryApiUrlWarned) {
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toastr.error("主API的URL或模型未配置，分步填表功能无法启动。", "Amily2-分步填表");
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window.secondaryApiUrlWarned = true;
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}
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return;
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}
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try {
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// --- 分步/批量填表逻辑 (重构版) ---
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const bufferSize = parseInt(settings.secondary_filler_buffer || 0, 10);
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const batchSize = parseInt(settings.secondary_filler_batch || 0, 10); // 0 = 实时/单条模式
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const contextLimit = parseInt(settings.secondary_filler_context || 2, 10);
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const chat = context.chat;
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const totalMessages = chat.length;
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// 计算有效填表区域的终点（排除 Buffer）
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// 例如：总长10，Buffer 2。ValidEnd = 10 - 1 - 2 = 7。
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// 即 index 8, 9 在 Buffer 内，不能填。
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const validEndIndex = totalMessages - 1 - bufferSize;
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if (validEndIndex < 0) {
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console.log(`[Amily2-副API] 消息数量不足以超出保留区(${bufferSize})，跳过。`);
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return;
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}
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// 收集需要填表的目标消息
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let targetMessages = [];
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let needsProcessing = false;
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// 简单的内容哈希生成器
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const getContentHash = (content) => {
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let hash = 0, i, chr;
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if (content.length === 0) return hash;
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for (i = 0; i < content.length; i++) {
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chr = content.charCodeAt(i);
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hash = ((hash << 5) - hash) + chr;
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hash |= 0; // Convert to 32bit integer
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}
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return hash;
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};
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// 从 ValidEndIndex 往前扫描，寻找未处理或已变更的消息
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for (let i = validEndIndex; i >= 0; i--) {
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const msg = chat[i];
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// 默认只处理 AI 消息用于填表核心（用户消息作为上下文）
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// 如果以后需要处理用户消息填表，这里需要调整
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if (msg.is_user) continue;
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// 检查状态
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const currentHash = getContentHash(msg.mes);
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const savedHash = msg.metadata?.Amily2_Process_Hash;
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const isUnprocessed = !savedHash;
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const isChanged = savedHash && savedHash !== currentHash;
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if (isUnprocessed || isChanged) {
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targetMessages.unshift({ index: i, msg: msg, hash: currentHash });
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// 如果是 Batch 模式，且攒够了
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if (batchSize > 0 && targetMessages.length >= batchSize) {
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needsProcessing = true;
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break;
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}
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} else {
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// 如果遇到一个已经处理且没变的消息
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// 在 Batch 模式下，我们要保持连续性吗？
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// 假设我们只处理最新的一批未处理消息。
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// 如果中间夹杂了已处理的，我们可能应该停止扫描？
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// 简化逻辑：只要遇到已处理的，就认为之前的都处理好了（除非用户回删）。
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// 为稳健起见，我们只向回扫描直到遇到已处理消息，或者扫完。
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break;
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}
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}
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// 决策逻辑
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if (targetMessages.length === 0) {
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console.log("[Amily2-副API] 没有发现需要处理的消息。");
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return;
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}
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if (batchSize > 0) {
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// 批量模式
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if (targetMessages.length < batchSize) {
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console.log(`[Amily2-副API] 批量模式: 累积 ${targetMessages.length}/${batchSize} 条，暂不触发。`);
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return;
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}
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} else {
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// 实时模式 (Batch=0)
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// 仅处理最新的一条有效消息（通常是 ValidEndIndex 那条，或者是刚重Roll的那条）
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// 如果扫描出多条（比如之前关了插件），为避免瞬间大量请求，我们只取最后一条（最新的）。
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targetMessages = [targetMessages[targetMessages.length - 1]];
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}
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console.log(`[Amily2-副API] 触发填表: 处理 ${targetMessages.length} 条消息。索引范围: ${targetMessages[0].index} - ${targetMessages[targetMessages.length-1].index}`);
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let tagsToExtract = [];
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let exclusionRules = [];
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if (settings.table_independent_rules_enabled) {
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tagsToExtract = (settings.table_tags_to_extract || '').split(',').map(t => t.trim()).filter(Boolean);
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exclusionRules = settings.table_exclusion_rules || [];
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}
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// 构建核心处理内容 (Core Content)
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let coreContentText = "";
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const userName = context.name1 || '用户';
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const characterName = context.name2 || '角色';
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for (const target of targetMessages) {
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let textToProcess = target.msg.mes;
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if (tagsToExtract.length > 0) {
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const blocks = extractBlocksByTags(textToProcess, tagsToExtract);
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textToProcess = blocks.join('\n\n');
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}
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textToProcess = applyExclusionRules(textToProcess, exclusionRules);
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if (!textToProcess.trim()) continue;
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coreContentText += `\n【第 ${target.index + 1} 楼】${characterName}（AI）消息：\n${textToProcess}\n`;
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}
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if (!coreContentText.trim()) {
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console.log("[Amily2-副API] 目标内容处理后为空，跳过。");
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return;
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}
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// 构建上下文 (History Context)
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// 上下文应该截止到 targetMessages 第一条消息的前面
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const historyEndIndex = targetMessages[0].index - 1;
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// 使用用户设置的 history_limit (contextLimit)
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let historyContextStr = "";
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if (contextLimit > 0 && historyEndIndex >= 0) {
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historyContextStr = await getHistoryContext(contextLimit, historyEndIndex, tagsToExtract, exclusionRules) || "";
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}
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const currentInteractionContent = (historyContextStr ? `${historyContextStr}\n\n` : '') +
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`<核心填表内容>\n${coreContentText}\n</核心填表内容>`;
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let mixedOrder;
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try {
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const savedOrder = localStorage.getItem('amily2_prompt_presets_v2_mixed_order');
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if (savedOrder) {
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mixedOrder = JSON.parse(savedOrder);
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}
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} catch (e) {
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console.error("[副API填表] 加载混合顺序失败:", e);
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}
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const order = getMixedOrder('secondary_filler') || [];
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const presetPrompts = await getPresetPrompts('secondary_filler');
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const messages = [
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{ role: 'system', content: generateRandomSeed() }
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];
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const worldBookContext = await getWorldBookContext();
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const ruleTemplate = getBatchFillerRuleTemplate();
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const flowTemplate = getBatchFillerFlowTemplate();
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const currentTableDataString = convertTablesToCsvString();
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const finalFlowPrompt = flowTemplate.replace('{{{Amily2TableData}}}', currentTableDataString);
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let promptCounter = 0;
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for (const item of order) {
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if (item.type === 'prompt') {
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if (presetPrompts && presetPrompts[promptCounter]) {
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messages.push(presetPrompts[promptCounter]);
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promptCounter++;
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}
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} else if (item.type === 'conditional') {
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switch (item.id) {
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case 'worldbook':
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if (worldBookContext) {
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messages.push({ role: "system", content: worldBookContext });
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}
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break;
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case 'contextHistory':
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// 旧的 contextHistory 逻辑已被上面的 historyContextStr 替代并整合进 coreContent
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// 但为了兼容 Preset 顺序，我们可以把 historyContextStr 放在这里单独发，
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// 或者上面的 coreContent 只放核心内容。
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// 修正：将 historyContextStr 作为 System 消息在这里发送，currentInteractionContent 只包含 coreContent
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if (historyContextStr) {
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messages.push({ role: "system", content: historyContextStr });
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}
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break;
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case 'ruleTemplate':
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messages.push({ role: "system", content: ruleTemplate });
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break;
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case 'flowTemplate':
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messages.push({ role: "system", content: finalFlowPrompt });
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break;
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case 'coreContent':
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messages.push({ role: 'user', content: `请严格根据以下"核心填表内容"进行填写表格，并按照指定的格式输出，不要添加任何额外信息。\n\n<核心填表内容>\n${coreContentText}\n</核心填表内容>` });
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break;
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}
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}
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}
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console.groupCollapsed(`[Amily2 分步填表] 即将发送至 API 的内容`);
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console.log("发送给AI的提示词: ", JSON.stringify(messages, null, 2));
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console.dir(messages);
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console.groupEnd();
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let rawContent;
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if (settings.nccsEnabled) {
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console.log('[Amily2-副API] 使用 Nccs API 进行分步填表...');
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rawContent = await callNccsAI(messages);
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} else {
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console.log('[Amily2-副API] 使用默认 API 进行分步填表...');
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rawContent = await callAI(messages);
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}
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if (!rawContent) {
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console.error('[Amily2-副API] 未能获取AI响应内容。');
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return;
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}
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console.log("[Amily2号-副API-原始回复]:", rawContent);
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updateTableFromText(rawContent);
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// 保存状态到最后一条处理的消息（或者所有处理的消息？）
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// 通常表格数据是依附在最后一条消息上的。
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// 但我们需要标记所有 processed 的消息，防止重复处理。
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const memoryState = getMemoryState();
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// 我们需要把状态保存到 targetMessages 的最后一条（时间最近的一条）
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const lastProcessedMsg = targetMessages[targetMessages.length - 1].msg;
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// 标记所有已处理消息
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for (const target of targetMessages) {
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if (!target.msg.metadata) target.msg.metadata = {};
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target.msg.metadata.Amily2_Process_Hash = target.hash;
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}
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// 保存 MemoryState 到最后一条
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if (saveStateToMessage(memoryState, lastProcessedMsg)) {
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renderTables();
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updateOrInsertTableInChat();
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}
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saveChat();
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} catch (error) {
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console.error(`[Amily2-副API] 发生严重错误:`, error);
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toastr.error(`副API填表失败: ${error.message}`, "严重错误");
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}
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}
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async function getHistoryContext(messagesToFetch, historyEndIndex, tagsToExtract, exclusionRules) {
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const context = getContext();
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const chat = context.chat;
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if (!chat || chat.length === 0 || messagesToFetch <= 0) {
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return null;
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}
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const historyUntil = Math.max(0, historyEndIndex);
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const messagesToExtract = Math.min(messagesToFetch, historyUntil);
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const startIndex = Math.max(0, historyUntil - messagesToExtract);
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const endIndex = historyUntil;
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const historySlice = chat.slice(startIndex, endIndex);
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const userName = context.name1 || '用户';
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const characterName = context.name2 || '角色';
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const messages = historySlice.map((msg, index) => {
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let content = msg.mes;
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if (!msg.is_user && tagsToExtract && tagsToExtract.length > 0) {
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const blocks = extractBlocksByTags(content, tagsToExtract);
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content = blocks.join('\n\n');
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}
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if (content && exclusionRules) {
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content = applyExclusionRules(content, exclusionRules);
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}
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if (!content.trim()) return null;
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return {
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floor: startIndex + index + 1,
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author: msg.is_user ? userName : characterName,
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authorType: msg.is_user ? 'user' : 'char',
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content: content.trim()
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};
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}).filter(Boolean);
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if (messages.length === 0) {
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return null;
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}
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const formattedHistory = messages.map(m => `【第 ${m.floor} 楼】 ${m.author}: ${m.content}`).join('\n');
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return `<对话记录>\n${formattedHistory}\n</对话记录>`;
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}
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