import { MarkdownDocumentFetcher } from "../document/markdown-document.fetcher.js";
import { parseLLMText } from "../document/parseLLMText.js";
import { BaaSDocumentLoader } from "../document/baas-document.loader.js";
import { BaaSDocsRepository } from "./baas-docs.repository.js";
export async function createBaaSDocsRepository(
link = "https://docs.aiapp.link/llms.txt"
): Promise<BaaSDocsRepository> {
try {
const response = await fetch(link, {
headers: {
"user-agent": "AIApp BaaS MCP Server",
},
});
if (!response.ok) {
throw new Error(`Failed to fetch LLM text: ${response.statusText}`);
}
const llmText = await response.text();
const rawDocs = parseLLMText(llmText);
if (rawDocs.length === 0) {
return new BaaSDocsRepository([]);
}
const loader = new BaaSDocumentLoader(
rawDocs,
new MarkdownDocumentFetcher()
);
await loader.load();
const documents = loader.getDocuments();
return new BaaSDocsRepository(documents);
} catch (error) {
// Return empty repository as fallback
return new BaaSDocsRepository([]);
}
}
