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Hi Pi, I have a project where I need to preserve all the contents of the /tmp/ folder for the next workflow execution. What is the best way to make a full backup of the /tmp/ folder and restore the contents in the next execution?
To preserve the contents of the /tmp/ directory across workflow executions, you can follow these steps: 1. Backup the /tmp/ directory contents to a data store or an external storage service (like AWS S3, Google Cloud Storage, etc.) at the end of each workflow execution. 2. Restore the contents from the backup at the beginning of the next workflow execution. Here’s an example using AWS S3 to backup and restore the /tmp/ directory: ### Step 1: Backup /tmp/ contents to S3 Create a Pipedream component to upload the contents of /tmp/ to an S3 bucket: import { S3 } from "@aws-sdk/client-s3"; import fs from "fs"; import path from "path"; export default defineComponent({ props: { aws: { type: "app", app: "aws", }, bucket: { type: "string", label: "S3 Bucket", }, prefix: { type: "string", label: "S3 Prefix", optional: true, }, }, async run({ steps, $ }) { const s3 = new S3({ region: this.aws.$auth.region, credentials: { accessKeyId: this.aws.$auth.access_key_id, secretAccessKey: this.aws.$auth.secret_access_key, }, }); const tmpDir = "/tmp"; const files = fs.readdirSync(tmpDir); for (const file of files) { const filePath = path.join(tmpDir, file); const fileStream = fs.createReadStream(filePath); await s3.putObject({ Bucket: this.bucket, Key: `${this.prefix ? `${this.prefix}/` : ""}${file}`, Body: fileStream, }); } return { message: "Backup completed" }; }, }); ### Step 2: Restore /tmp/ contents from S3 Create another Pipedream component to download the contents from the S3 bucket to the /tmp/ directory: ``` import { S3 } from “@aws-sdk/client-s3”; import fs from “fs”; import path from “path”; export default defineComponent({ props: { aws: { type: “app”, app: “aws”, }, bucket
What is the best way to make a full backup of the /tmp/ folder?
To make a full backup of the /tmp/ folder in a Pipedream workflow, you can use a combination of Node.js code to read the files and a cloud storage service (like AWS S3, Google Cloud Storage, etc.) to store the backup. Below is an example of how you can achieve this using AWS S3. First, ensure you have the AWS SDK installed. You can import it directly in your Pipedream component: import { S3 } from "aws-sdk"; import fs from "fs"; import path from "path"; import { axios } from "@pipedream/platform"; export default defineComponent({ props: { aws: { type: "app", app: "aws", }, bucket: { type: "string", label: "S3 Bucket", description: "The name of the S3 bucket where the backup will be stored", }, }, async run({ steps, $ }) { const s3 = new S3({ accessKeyId: this.aws.$auth.access_key_id, secretAccessKey: this.aws.$auth.secret_access_key, region: this.aws.$auth.region, }); const tmpDir = "/tmp"; const files = fs.readdirSync(tmpDir); for (const file of files) { const filePath = path.join(tmpDir, file); const fileContent = fs.readFileSync(filePath); const params = { Bucket: this.bucket, Key: `backup/${file}`, Body: fileContent, }; await s3.upload(params).promise(); } return { message: "Backup completed successfully" }; }, }); ### Explanation: 1. AWS SDK Initialization: The AWS SDK is initialized with the necessary credentials. 2. Reading /tmp Directory: The code reads all files in the /tmp directory. 3. Uploading to S3: Each file is read and uploaded to the specified S3 bucket. ### Steps to use this component: 1. Search for AWS in the Pipedream UI and connect your AWS account. 2. Create a new workflow and add a new Node.js code step with the above code. 3. Provide the S3 bucket name where you want to store the backup. This will back up all files in the /tmp directory to the specified
What is the best way to make a full backup of the /tmp/ folder and all its subfolders and put them in the backup.zip file?
To create a full backup of the /tmp/ folder and all its subfolders into a backup.zip file, you can use the archiver package in Node.js. Below is a Pipedream component that demonstrates how to achieve this: import { defineComponent } from "@pipedream/types"; import fs from "fs"; import archiver from "archiver"; export default defineComponent({ async run({ steps, $ }) { const output = fs.createWriteStream("/tmp/backup.zip"); const archive = archiver("zip", { zlib: { level: 9 } // Sets the compression level. }); // Listen for all archive data to be written output.on("close", function() { console.log(archive.pointer() + " total bytes"); console.log("archiver has been finalized and the output file descriptor has closed."); }); // Good practice to catch warnings (ie stat failures and other non-blocking errors) archive.on("warning", function(err) { if (err.code !== "ENOENT") { throw err; } }); // Good practice to catch this error explicitly archive.on("error", function(err) { throw err; }); // Pipe archive data to the file archive.pipe(output); // Append files from /tmp/ directory, putting its contents at the root of archive archive.directory("/tmp/", false); // Finalize the archive (ie we are done appending files but streams have to finish yet) await archive.finalize(); return "Backup created successfully at /tmp/backup.zip"; } }); ### Explanation: 1. Imports: We import the necessary modules: fs for file system operations and archiver for creating the zip archive. 2. Creating Write Stream: We create a write stream to /tmp/backup.zip where the backup will be stored. 3. Archiver Setup: We set up the archiver instance with zip compression. 4. Event Listeners: We add listeners to handle the close event, warnings, and errors. 5. Piping Data: We pipe the archive data to the output file. 6. Appending Files: We append all files and subfolders from the /tmp/ directory to the archive. 7. Finalizing:
is there a way to use file stores or data stores?
Yes, you can use both file stores and data stores in Pipedream. Here’s a brief overview of each: ### File Stores File stores are filesystems scoped to projects. Any files stored in the file store are available to all workflows in the project. However, please note that file stores are only available to Advanced plan and above subscribed workspaces. For more details, you can visit the File Stores documentation. ### Data Stores Data stores are Pipedream’s built-in key-value store. They are useful for: - Storing and retrieving data at a specific key - Counting or summing values over time - Retrieving JSON-serializable data across workflow executions - Caching - Sharing state across different services You can use pre-built, no-code actions to store, update, and clear data, or interact with data stores programmatically in Node.js or Python. Here is an example of how to use data stores in Node.js: ```
export default defineComponent({ props: { data: { type: “data_store” }, }, async run({ steps, $ }) { // Store a value await this.data.set(‘key’, ‘Hello World’); // Retrieve the value const value = await this.data.get(‘key’); console.log(value); // Outputs: Hello World }, })
how to make a full backup of /tmp in a file store and then retrieve it in the next execution?
To make a full backup of the /tmp directory in a file store and then retrieve it in the next execution, you can follow these steps: 1. Backup /tmp directory to a file store: In the first execution, you will need to zip the contents of the /tmp directory and upload it to a file store. 2. Retrieve the backup in the next execution: In the next execution, you will download the zip file from the file store and extract it back to the /tmp directory. Below is an example of how you can achieve this using Pipedream components and Node.js: ### Step 1: Backup /tmp directory ``` import { axios } from “@pipedream/platform”; import fs from “fs”; import archiver from “archiver”; export default defineComponent({ props: { fileStore: { type: “app”, app: “file_store”, }, }, async run({ steps, $ }) { const tmpDir = “/tmp”; const zipFilePath = “/tmp/backup.zip”; // Create a file to stream archive data to const output = fs.createWriteStream(zipFilePath); const archive = archiver(“zip”, { zlib: { level: 9 }, // Sets the compression level }); // Listen for all archive data to be written output.on(“close”, async () => { console.log(${archive.pointer()} total bytes); console.log(“Archiver has been finalized and the output file descriptor has closed.”); // Upload the zip file to the file store const response = await axios($, { method: “POST”, url: “https://api.filestore.com/upload”, headers: { Authorization: Bearer ${this.fileStore.$auth.api_key}, }, data: { file: fs.createReadStream(zipFilePath), }, }); return response; }); // Good practice to catch warnings (ie stat failures and other non-blocking errors) archive.on(“warning”, (err) => { if (err.code !== “ENOENT”) { throw err; } }); // Good practice to catch this error explicitly archive.on(“error”, (err) => { throw err; }); // Pipe archive data to the file archive.pipe(output); //
Pi hallucinated in the File Stores part… here’s the docs: File Stores Node.js Reference