Add Embeddings Of Code

[jsfour]

No description provided.

[jsfour]

Extend the "GitHubFileFetcher" here https://github.com/octaviuslabs/walter/blob/main/src/gh.ts#L14 to pull down a typescrpt file, parse all of the functions using the typescript compiler and generates code embeddings of that data using the openai embeddings endpoint. Just log the embeddings for now.

[imwalterbot]

Extend the "GitHubFileFetcher" here https://github.com/octaviuslabs/walter/blob/main/src/gh.ts#L14 to pull down a typescrpt file, parse all of the functions using the typescript compiler and generates code embeddings of that data using the openai embeddings endpoint. Just log the embeddings for now.

Queued for processing...

[imwalterbot]

To extend the GitHubFileFetcher class to pull down a TypeScript file, parse all of the functions using the TypeScript compiler, and generate code embeddings using the OpenAI embeddings endpoint, follow the pseudocode below:

1. Import the required libraries and modules
2. Add a new method fetchAndParseFunctions to the GitHubFileFetcher class
3. In the fetchAndParseFunctions method:
   a. Use the getFileContent method to fetch the TypeScript file content
   b. Parse the fetched TypeScript file content to extract all functions using the TypeScript compiler
   c. Generate code embeddings for the extracted functions using the OpenAI embeddings endpoint
   d. Log the embeddings

Here's the pseudocode:

// Import required libraries and modules
import * as ts from 'typescript';
import { OpenAIClient } from 'openai-client';

// Add a new method `fetchAndParseFunctions` to the `GitHubFileFetcher` class
class GitHubFileFetcher {
  ...
  
  async fetchAndParseFunctions(filePath: string): Promise<void> {
    // Fetch the TypeScript file content
    const fileContent = await this.getFileContent(filePath);

    // Parse the fetched TypeScript file content to extract all functions
    const functions = this.parseFunctions(fileContent);

    // Generate code embeddings for the extracted functions
    const embeddings = await this.generateEmbeddings(functions);

    // Log the embeddings
    console.log(embeddings);
  }

  parseFunctions(fileContent: string): Array<Function> {
    // Use TypeScript compiler to parse the file content and extract functions
    ...
  }

  async generateEmbeddings(functions: Array<Function>): Promise<Array<Embedding>> {
    // Initialize OpenAI client
    const openaiClient = new OpenAIClient(YOUR_OPENAI_API_KEY);

    // Generate code embeddings for the functions using the OpenAI embeddings endpoint
    ...
  }
}

Replace the ... with the actual implementation for parsing functions using the TypeScript compiler and generating embeddings using the OpenAI embeddings endpoint.

[jsfour]

Fill in the functions. Just respond with the psudocode

[imwalterbot]

Fill in the functions. Just respond with the psudocode

Queued for processing...

[imwalterbot]

Here's the pseudocode with the functions filled in:

// Import required libraries and modules
import * as ts from 'typescript';
import { OpenAIClient } from 'openai-client';

// Add a new method `fetchAndParseFunctions` to the `GitHubFileFetcher` class
class GitHubFileFetcher {
  ...
  
  async fetchAndParseFunctions(filePath: string): Promise<void> {
    // Fetch the TypeScript file content
    const fileContent = await this.getFileContent(filePath);

    // Parse the fetched TypeScript file content to extract all functions
    const functions = this.parseFunctions(fileContent);

    // Generate code embeddings for the extracted functions
    const embeddings = await this.generateEmbeddings(functions);

    // Log the embeddings
    console.log(embeddings);
  }

  parseFunctions(fileContent: string): Array<Function> {
    const functions = [];
    const sourceFile = ts.createSourceFile('temp.ts', fileContent, ts.ScriptTarget.Latest, true);

    const visitNode = (node: ts.Node) => {
      if (ts.isFunctionDeclaration(node) || ts.isArrowFunction(node) || ts.isMethodDeclaration(node)) {
        functions.push(node);
      }
      ts.forEachChild(node, visitNode);
    };

    ts.forEachChild(sourceFile, visitNode);
    return functions;
  }

  async generateEmbeddings(functions: Array<Function>): Promise<Array<Embedding>> {
    // Initialize OpenAI client
    const openaiClient = new OpenAIClient(YOUR_OPENAI_API_KEY);

    // Generate code embeddings for the functions using the OpenAI embeddings endpoint
    const embeddings = [];
    for (const func of functions) {
      const codeSnippet = func.getText();
      const embedding = await openaiClient.generateEmbedding(codeSnippet);
      embeddings.push(embedding);
    }

    return embeddings;
  }
}

Replace YOUR_OPENAI_API_KEY with your actual OpenAI API key. Note that the OpenAIClient class and the generateEmbedding method should be implemented based on the OpenAI API documentation. The generateEmbedding method should take a code snippet as input and return an embedding.

[jsfour]

@imwalterbot APPROVED https://github.com/octaviuslabs/walter/blob/main/src/gh.ts#L14

[imwalterbot]

@imwalterbot APPROVED https://github.com/octaviuslabs/walter/blob/main/src/gh.ts#L14

Queued for processing...

[imwalterbot]

@imwalterbot APPROVED https://github.com/octaviuslabs/walter/blob/main/src/gh.ts#L14

Processing this now