app/docs/steps/step-07.md

# **File: COMMIT\_06\_WRITE\_FLOW.md**

## **Commit 6: Core Write-Through Cache API**

### **Objective**

Implement the POST /api/nodes route. This is the core "write-through cache" logic, which is the architectural foundation of the application. It must:

1. Authenticate the user via their SurrealDB JWT.  
2. Retrieve their ATproto access token (from the encrypted cookie).  
3. **Step 1 (Truth):** Publish the new node to their PDS using the com.ponderants.node lexicon.  
4. **Step 2 (Cache):** Generate a gemini-embedding-001 vector from the node's body.  
5. **Step 3 (Cache):** Write the node, its atp\_uri, and its embedding to our SurrealDB cache.

### **Implementation Specification**

**1\. Create lib/db.ts**

Create a helper file at /lib/db.ts for connecting to SurrealDB:

TypeScript

import { Surreal } from 'surrealdb.js';

const db \= new Surreal();

/\*\*  
 \* Connects to the SurrealDB instance.  
 \* @param {string} token \- The user's app-specific (SurrealDB) JWT.  
 \*/  
export async function connectToDB(token: string) {  
  if (\!db.connected) {  
    await db.connect(process.env.SURREALDB\_URL\!);  
  }  
    
  // Authenticate as the user for this request.  
  // This enforces the row-level security (PERMISSIONS)  
  // defined in the schema for all subsequent queries.  
  await db.authenticate(token);  
    
  return db;  
}

**2\. Create lib/ai.ts**

Create a helper file at /lib/ai.ts for AI operations:

TypeScript

import { GoogleGenerativeAI } from '@google/generative-ai';

const genAI \= new GoogleGenerativeAI(process.env.GOOGLE\_API\_KEY\!);

const embeddingModel \= genAI.getGenerativeModel({  
  model: 'gemini-embedding-001',  
});

/\*\*  
 \* Generates a vector embedding for a given text.  
 \* @param text The text to embed.  
 \* @returns A 1536-dimension vector (Array\<number\>).  
 \*/  
export async function generateEmbedding(text: string): Promise\<number\> {  
  try {  
    const result \= await embeddingModel.embedContent(text);  
    return result.embedding.values;  
  } catch (error) {  
    console.error('Error generating embedding:', error);  
    throw new Error('Failed to generate AI embedding.');  
  }  
}

**3\. Create Write API Route (app/api/nodes/route.ts)**

Create the main API file at /app/api/nodes/route.ts:

TypeScript

import { NextRequest, NextResponse } from 'next/server';  
import { cookies } from 'next/headers';  
import { AtpAgent, RichText } from '@atproto/api';  
import { connectToDB } from '@/lib/db';  
import { generateEmbedding } from '@/lib/ai';

export async function POST(request: NextRequest) {  
  const surrealJwt \= cookies().get('ponderants-auth')?.value;  
  const atpAccessToken \= cookies().get('atproto\_access\_token')?.value;

  if (\!surrealJwt ||\!atpAccessToken) {  
    return NextResponse.json({ error: 'Not authenticated' }, { status: 401 });  
  }

  let userDid: string;  
  try {  
    // Decode the JWT to get the DID for the SurrealDB query  
    // In a real app, we'd verify it, but for now we just  
    // pass it to connectToDB which authenticates with it.  
    const { payload } \= jwt.decode(surrealJwt, { complete: true })\!;  
    userDid \= (payload as { did: string }).did;  
  } catch (e) {  
    return NextResponse.json({ error: 'Invalid auth token' }, { status: 401 });  
  }

  const { title, body, links } \= (await request.json()) as {  
    title: string;  
    body: string;  
    links: string; // Array of at-uri strings  
  };

  if (\!title ||\!body) {  
    return NextResponse.json({ error: 'Title and body are required' }, { status: 400 });  
  }

  const createdAt \= new Date().toISOString();  
    
  // \--- Step 1: Write to Source of Truth (ATproto) \---  
  let atp\_uri: string;  
  let atp\_cid: string;  
    
  try {  
    const agent \= new AtpAgent({ service: 'https://bsky.social' }); // The service URL may need to be dynamic  
    await agent.resumeSession({ accessJwt: atpAccessToken, did: userDid, handle: '' }); // Simplified resume

    // Format the body as RichText  
    const rt \= new RichText({ text: body });  
    await rt.detectFacets(agent); // Detect links, mentions

    const response \= await agent.post({  
      $type: 'com.ponderants.node',  
      repo: userDid,  
      collection: 'com.ponderants.node',  
      record: {  
        title,  
        body: rt.text,  
        facets: rt.facets, // Include facets for rich text  
        links: links?.map(uri \=\> ({ $link: uri })) ||, // Convert URIs to strong refs  
        createdAt,  
      },  
    });  
      
    atp\_uri \= response.uri;  
    atp\_cid \= response.cid;

  } catch (error) {  
    console.error('ATproto write error:', error);  
    return NextResponse.json({ error: 'Failed to publish to PDS' }, { status: 500 });  
  }

  // \--- Step 2: Generate AI Embedding (Cache) \---  
  let embedding: number;  
  try {  
    embedding \= await generateEmbedding(title \+ '\\n' \+ body);  
  } catch (error) {  
    console.error('Embedding error:', error);  
    return NextResponse.json({ error: 'Failed to generate embedding' }, { status: 500 });  
  }

  // \--- Step 3: Write to App View Cache (SurrealDB) \---  
  try {  
    const db \= await connectToDB(surrealJwt);

    // Create the node record in our cache.  
    // The \`user\_did\` field is set, satisfying the 'PERMISSIONS'  
    // clause defined in the schema.  
    const newNode \= await db.create('node', {  
      user\_did: userDid,  
      atp\_uri: atp\_uri,  
      title: title,  
      body: body, // Store the raw text body  
      embedding: embedding,  
      // coords\_3d will be calculated later  
    });

    // Handle linking  
    if (links && links.length \> 0) {  
      // Find the corresponding cache nodes for the AT-URIs  
      const targetNodes: { id: string } \= await db.query(  
        'SELECT id FROM node WHERE user\_did \= $did AND atp\_uri IN $links',  
        { did: userDid, links: links }  
      );  
        
      // Create graph relations  
      for (const targetNode of targetNodes) {  
        await db.query('RELATE $from-\>links\_to-\>$to', {  
          from: (newNode as any).id,  
          to: targetNode.id,  
        });  
      }  
    }  
      
    return NextResponse.json(newNode);

  } catch (error) {  
    console.error('SurrealDB write error:', error);  
    // TODO: Implement rollback for the ATproto post?  
    return NextResponse.json({ error: 'Failed to save to app cache' }, { status: 500 });  
  }  
}

### **Test Specification**

This is an API-only commit. It will be tested via the end-to-end flow in **Commit 10 (Linking)**, which will provide the UI (the "Publish" button) to trigger this route.