5d5336757d
- Hybrid BM25 + HNSW vector search with context enrichment - Knowledge graph with entities, relations, and community detection - Host-following LLM route with fallback backends - 3-tier lint system (static + HNSW dup + contradiction detection) - Q&A Synthesis (Karpathy LLM Wiki pattern) - 16 MCP tools for agent-driven workflows - Incremental wiki generation with checkpointing - SQLite-backed item store with FTS5 + vector indexes
41 lines
1.3 KiB
TypeScript
41 lines
1.3 KiB
TypeScript
import path from "node:path";
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import type { SyncLogEntry } from "../types.js";
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import { parseFrontmatter, stringifyFrontmatter, writeTextFile } from "../utils.js";
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/**
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* Appends structured entries to `log.md`.
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*
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* @param vaultPath Vault root path.
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* @param entries Entries to append.
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*/
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export async function appendSyncLog(vaultPath: string, entries: SyncLogEntry[]): Promise<void> {
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try {
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const filePath = path.join(vaultPath, "log.md");
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const { readFile } = await import("node:fs/promises");
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let existing = "";
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try {
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existing = await readFile(filePath, "utf8");
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} catch (error) {
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if ((error as NodeJS.ErrnoException).code !== "ENOENT") {
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throw error;
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}
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}
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const parsed = existing
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? parseFrontmatter(existing)
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: {
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data: { type: "log" },
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content: "# Sync Log\n\n| 시간 | 작업 | 대상 | 결과 |\n|------|------|------|------|\n",
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};
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const rows = entries.map((entry) => `| ${entry.time} | ${entry.action} | ${entry.target} | ${entry.result} |`);
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const body = `${parsed.content.trimEnd()}\n${rows.join("\n")}\n`;
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const markdown = stringifyFrontmatter(body, parsed.data as Record<string, unknown>);
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await writeTextFile(filePath, markdown);
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} catch (error) {
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throw error instanceof Error ? error : new Error(String(error));
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}
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}
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