Buckets:
| import { $ } from "bun" | |
| import path from "path" | |
| import os from "os" | |
| import { ZenData } from "../src/model" | |
| const root = path.resolve(process.cwd(), "..", "..", "..") | |
| const models = await $`bun sst secret list --stage frank`.cwd(root).text() | |
| const PARTS = 30 | |
| // read the line starting with "ZEN_MODELS" | |
| const lines = models.split("\n") | |
| const oldValues = Array.from({ length: PARTS }, (_, i) => { | |
| const value = lines | |
| .find((line) => line.startsWith(`ZEN_MODELS${i + 1}=`)) | |
| ?.split("=") | |
| .slice(1) | |
| .join("=") | |
| if (!value) throw new Error(`ZEN_MODELS${i + 1} not found`) | |
| return value | |
| }) | |
| // store the prettified json to a temp file | |
| const filename = `models-${Date.now()}.json` | |
| const tempFile = Bun.file(path.join(os.tmpdir(), filename)) | |
| await tempFile.write(JSON.stringify(JSON.parse(oldValues.join("")), null, 2)) | |
| console.log("tempFile", tempFile.name) | |
| // open temp file in vim and read the file on close | |
| await $`vim ${tempFile.name}` | |
| const newValue = JSON.stringify(JSON.parse(await tempFile.text())) | |
| ZenData.validate(JSON.parse(newValue)) | |
| // update the secret | |
| const chunk = Math.ceil(newValue.length / PARTS) | |
| const newValues = Array.from({ length: PARTS }, (_, i) => | |
| newValue.slice(chunk * i, i === PARTS - 1 ? undefined : chunk * (i + 1)), | |
| ) | |
| const envFile = Bun.file(path.join(os.tmpdir(), `models-${Date.now()}.env`)) | |
| await envFile.write(newValues.map((v, i) => `ZEN_MODELS${i + 1}="${v.replace(/"/g, '\\"')}"`).join("\n")) | |
| await $`bun sst secret load ${envFile.name} --stage frank`.cwd(root) | |
Xet Storage Details
- Size:
- 1.54 kB
- Xet hash:
- a39598fe918dd95888798f1487d9c01629d56fedbf259f00538c8dd0432aaf5d
·
Xet efficiently stores files, intelligently splitting them into unique chunks and accelerating uploads and downloads. More info.