feat: basic deno code for using wiki

.env.template

@@ -0,0 +1 @@
+DEEPSEEK_API_KEY=

deno.json

@@ -1,10 +1,15 @@
 {
   "tasks": {
-    "dev": "deno run --watch main.ts"
+    "dev": "deno run --watch --allow-read --allow-net main.ts"
   },
   "imports": {
     "@std/assert": "jsr:@std/assert@1",
     "@std/fs": "jsr:@std/fs@^1.0.5",
-    "@std/path": "jsr:@std/path@^1.0.8"
+    "@std/path": "jsr:@std/path@^1.0.8",
+    "tiddlywiki": "npm:tiddlywiki@^5.3.6",
+    "tw5-typed": "npm:tw5-typed@^0.5.14"
+  },
+  "compilerOptions": {
+    "types": ["npm:tw5-typed"]
   }
 }

generateChatML.ts

@@ -0,0 +1,42 @@
+import { join } from "@std/path";
+import "tw5-typed";
+import { TiddlyWiki } from "tiddlywiki";
+
+const wikiInstance = TiddlyWiki();
+const wikiPath = join(Deno.cwd(), "wiki");
+wikiInstance.boot.argv = [wikiPath, "--version"];
+wikiInstance.boot.startup({});
+
+export async function generateChatML(tidContent: string): Promise<string> {
+  const dataPromptTiddlers = wikiInstance.wiki.filterTiddlers(
+    `[!is[system]tag[Prompt]tag[Data]]`,
+  )
+    .map((title) => wikiInstance.wiki.getTiddler(title))
+    .filter((tiddler) => tiddler !== undefined)
+    .filter((tiddler) => tiddler.fields.prompt !== undefined);
+
+  const chatmlContents = await Promise.all(dataPromptTiddlers.map(async (tiddler) => {
+    const prompt = tiddler.fields.prompt as string;
+    const AIOutput = await callLLM(prompt, tidContent);
+    const chatmlContent = wikiInstance.wiki.renderTiddler("text/plain", tiddler.fields.title, {
+      variables: {
+        prompt,
+        AIOutput,
+      }
+    })
+    return chatmlContent;
+  }))
+
+
+  // 合并所有消息
+  return chatmlContents.join("");
+}
+
+async function callLLM(
+  systemPrompt: string,
+  userPrompt: string,
+): Promise<string> {
+  // 调用 LLM API 的逻辑，提取为可替换的函数
+  // ...implementation...
+  return ""; // 返回助手的回复
+}

main.ts

@@ -1,5 +1,6 @@
 import { ensureDir } from '@std/fs';
 import { join, extname, relative, dirname } from '@std/path';
+import { generateChatML } from './generateChatML.ts';
 
 async function readTidFilesAndCreateChatML(folderPath: string) {
   const dataFolderPath = join('data', folderPath);
@@ -33,9 +34,10 @@ async function readTidFilesAndCreateChatML(folderPath: string) {
   await processFolder(folderPath);
 }
 
-async function generateChatML(tidContent: string): Promise<string> {
-  // 生成 ChatML 内容的逻辑
-  return ``;
+async function callLLM(systemPrompt: string, userPrompt: string): Promise<string> {
+  // 调用 LLM API 的逻辑，提取为可替换的函数
+  // ...implementation...
+  return ''; // 返回助手的回复
 }
 
 if (import.meta.main) {