OpenClaw Agent
7e0acef4f9
- Add complete skill set including feishu, github, ci-gen, etc. - Add workspace documentation (AGENTS.md, SOUL.md, etc.) - Add memory system and project context
66 lines
2.4 KiB
TypeScript
66 lines
2.4 KiB
TypeScript
import OpenAI from "openai";
|
|
import { glob } from "glob";
|
|
import * as fs from "fs";
|
|
import * as path from "path";
|
|
|
|
const CONFIG_FILES = [
|
|
"package.json", "tsconfig.json", "next.config.js", "next.config.mjs",
|
|
"vite.config.ts", "nuxt.config.ts", "Cargo.toml", "go.mod",
|
|
"pyproject.toml", "requirements.txt", "Gemfile", "build.gradle", "pom.xml",
|
|
"jest.config.js", "jest.config.ts", "vitest.config.ts", ".eslintrc.js",
|
|
".eslintrc.json", "prettier.config.js", "Makefile",
|
|
"docker-compose.yml", "Dockerfile", "vercel.json", "netlify.toml",
|
|
"fly.toml", "railway.json",
|
|
];
|
|
|
|
export async function scanProject(dir: string): Promise<{ files: string[]; contents: Record<string, string> }> {
|
|
const found: string[] = [];
|
|
const contents: Record<string, string> = {};
|
|
|
|
for (const f of CONFIG_FILES) {
|
|
const full = path.join(dir, f);
|
|
if (fs.existsSync(full)) {
|
|
found.push(f);
|
|
const stat = fs.statSync(full);
|
|
if (stat.size < 5000) {
|
|
contents[f] = fs.readFileSync(full, "utf-8");
|
|
}
|
|
}
|
|
}
|
|
|
|
return { files: found, contents };
|
|
}
|
|
|
|
export async function generateWorkflow(
|
|
projectInfo: { files: string[]; contents: Record<string, string> },
|
|
provider: string,
|
|
deployTarget?: string
|
|
): Promise<string> {
|
|
if (!process.env.OPENAI_API_KEY) {
|
|
throw new Error("Missing OPENAI_API_KEY environment variable. Set it with: export OPENAI_API_KEY=sk-...");
|
|
}
|
|
|
|
const openai = new OpenAI({ apiKey: process.env.OPENAI_API_KEY });
|
|
|
|
const deployInstruction = deployTarget
|
|
? `Include a deployment step for ${deployTarget}. Use the standard ${deployTarget} GitHub Action or deployment method.`
|
|
: "Don't include deployment steps, just CI (lint, test, build).";
|
|
|
|
const response = await openai.chat.completions.create({
|
|
model: "gpt-4o-mini",
|
|
messages: [
|
|
{
|
|
role: "system",
|
|
content: `You are a CI/CD expert. Generate a ${provider === "github" ? "GitHub Actions" : provider} workflow YAML file. Output ONLY the YAML contents. No markdown code fences. Include proper caching, matrix testing if appropriate, and best practices. ${deployInstruction}`
|
|
},
|
|
{
|
|
role: "user",
|
|
content: `Project files: ${projectInfo.files.join(", ")}\n\nKey file contents:\n${Object.entries(projectInfo.contents).map(([k, v]) => `--- ${k} ---\n${v}`).join("\n\n")}`
|
|
}
|
|
],
|
|
temperature: 0.3,
|
|
});
|
|
|
|
return response.choices[0]?.message?.content?.trim() || "";
|
|
}
|