I am getting axios error when I try to retrieve a file of 131MB size
To assist you with the axios error you’re encountering when trying to retrieve a file of 131MB in size, I’ll need a bit more information about the error message you’re receiving and the code you’re using to make the request. However, I can provide some general advice that might help. When dealing with large files, you may encounter issues related to timeouts or memory limits. Here are a few things to consider: 1. Timeouts: By default, HTTP requests made with axios have a timeout. If the file takes too long to download, the request may time out. You can increase the timeout in the axios request configuration. 2. Memory Limits: If you’re trying to load the entire file into memory, you may exceed the available memory. Instead, consider streaming the file to process it in chunks. 3. Response Type: Ensure you’re setting the responseType to 'stream' if you’re handling large files, which tells axios to provide the response as a stream that you can then process or save to disk. Here’s an example of how you might modify your axios request to handle large files: import { axios } from "@pipedream/platform"; export default defineComponent({ async run({ steps, $ }) { try { const response = await axios($, { url: "YOUR_FILE_URL", method: "GET", responseType: "stream", timeout: 300000, // Increase timeout to 5 minutes }); // Handle the stream here, possibly saving to /tmp directory } catch (error) { // Handle error console.error(error); } }, }); Please provide additional details about the error and your current axios request configuration so I can offer more targeted assistance. If you continue to experience difficulties, you may also visit Pipedream Support for further help.
how to save the streamed file from axios responseType `stream’ into the /tmp folder
To save a streamed file from an Axios request with the responseType set to stream into the /tmp directory, you can use the following Pipedream component code as a guide: import { axios } from "@pipedream/platform"; import fs from "fs"; import { pipeline } from "stream/promises"; export default defineComponent({ async run({ steps, $ }) { const response = await axios($, { method: "GET", url: "https://example.com/path/to/file", // Replace with your file URL responseType: "stream", }); const path = `/tmp/downloaded-file`; // Replace with your desired file path in /tmp await pipeline( response.data, fs.createWriteStream(path) ); // Optionally, return the path of the saved file return path; }, }); This code performs a GET request to the specified URL, expecting a stream response. It then uses the pipeline function from the stream/promises module to pipe the response stream to a write stream that writes the file to the /tmp directory. Remember to replace "https://example.com/path/to/file" with the actual URL of the file you want to download and /tmp/downloaded-file with the path and filename where you want to save the file in the /tmp directory.
how to generate a public export url on a google drive file
To generate a public export URL for a Google Drive file, you’ll need to use the Google Drive API to first share the file publicly and then construct the export URL based on the file’s ID and the desired export MIME type. Here’s a Pipedream component that demonstrates how to share a Google Drive file publicly and generate an export URL: import { axios } from "@pipedream/platform"; export default defineComponent({ props: { google: { type: "app", app: "google", }, }, async run({ steps, $ }) { // Replace 'your-file-id' with the ID of the file you want to share const fileId = 'your-file-id'; // Replace 'application/pdf' with the MIME type you want to export the file as const mimeType = 'application/pdf'; // Step 1: Share the file publicly const shareResponse = await axios($, { method: 'POST', url: `https://www.googleapis.com/drive/v3/files/${fileId}/permissions`, headers: { Authorization: `Bearer ${this.google.$auth.oauth_access_token}`, }, data: { role: 'reader', type: 'anyone', }, }); // Step 2: Generate the export URL const exportUrl = `https://www.googleapis.com/drive/v3/files/${fileId}/export?mimeType=${encodeURIComponent(mimeType)}`; // Return the export URL return exportUrl; }, }); Please replace 'your-file-id' with the actual ID of the Google Drive file you want to share and 'application/pdf' with the MIME type you want to export the file as. This code will make the file publicly accessible and return the export URL. Remember to ensure that your Google app has the necessary OAuth scopes to perform these operations, such as https://www.googleapis.com/auth/drive. If you need further assistance or have any issues, please visit Pipedream Support.
how to read fileContent from google drive export url
To read file content from a Google Drive export URL, you would typically use the Google Drive API to export the file in the desired format and then read the content of the exported file. Below is an example Pipedream component that demonstrates how to read file content from a Google Drive export URL using the Google Drive API: import { axios } from "@pipedream/platform"; export default defineComponent({ props: { google: { type: "app", app: "google", }, }, async run({ steps, $ }) { // Replace 'fileId' with the actual ID of the file you want to export const fileId = 'YOUR_FILE_ID'; // Replace 'mimeType' with the MIME type of the format you want to export the file as const mimeType = 'text/plain'; // Example MIME type for plain text format // Construct the export URL for the file const exportUrl = `https://www.googleapis.com/drive/v3/files/${fileId}/export?mimeType=${encodeURIComponent(mimeType)}`; // Make the API request to export the file const response = await axios($, { method: 'GET', url: exportUrl, headers: { Authorization: `Bearer ${this.google.$auth.oauth_access_token}`, }, responseType: 'text', // Set the response type to 'text' if you expect a plain text response }); // The file content is available in the response body const fileContent = response.data; // Return the file content return fileContent; }, }); Please replace 'YOUR_FILE_ID' with the actual ID of the file you want to export and 'mimeType' with the MIME type of the format you want to export the file as. The responseType should be set according to the expected format of the file content (e.g., 'text' for plain text, 'json' for JSON, etc.). Remember to use the Pipedream UI to connect your Google account and grant the necessary permissions to access Google Drive before running this component.
how to fs.readFile() a file from URL
To read a file from a URL in a Pipedream workflow, you can use the File.fromUrl() method provided by the Pipedream File Store API. Here’s an example of how you can do this in Node.js: export default defineComponent({ async run({ steps, $ }) { // Upload a file to the File Store by a URL const file = await $.files.open('filename.ext').fromUrl('https://example.com/path/to/your/file.ext'); // Now you can use the file in your workflow console.log(await file.toUrl()); }, }) Replace 'filename.ext' with the desired filename you want to use within the File Store, and replace 'https://example.com/path/to/your/file.ext' with the actual URL of the file you want to read. This code will upload the file from the specified URL to the Pipedream File Store, and then you can use the file within your workflow as needed.
how to download file from URL and then a new Buffer() from it
To download a file from a URL and create a new Buffer from it in a Pipedream workflow, you can use the following Node.js code in a Pipedream code step: import { axios } from "@pipedream/platform"; export default defineComponent({ async run({ steps, $ }) { // Replace 'https://example.com/file' with the URL of the file you want to download const url = 'https://example.com/file'; // Make a GET request to the URL to download the file const response = await axios($, { method: 'GET', url: url, responseType: 'arraybuffer', // This ensures the response is a Buffer }); // The response is already a Buffer, so you can use it as needed const buffer = response.data; // For example, you can log the Buffer's content to the console console.log(buffer.toString()); // Or return the Buffer to use it in subsequent steps return buffer; }, }); This code will download the file from the specified URL and return the content as a Buffer. Make sure to replace 'https://example.com/file' with the actual URL of the file you want to download. The responseType: 'arraybuffer' option in the axios request ensures that the HTTP response is treated as a Buffer.
how to delete items in /tmp folder
To delete items in the /tmp folder within a Pipedream workflow, you can use a Node.js code step. Here’s an example of how you might delete a file named example.txt in the /tmp directory: import { promises as fs } from "fs"; export default defineComponent({ async run({ steps, $ }) { const filePath = `/tmp/example.txt`; try { await fs.unlink(filePath); console.log(`Deleted ${filePath}`); } catch (error) { if (error.code === 'ENOENT') { console.log(`The file ${filePath} does not exist.`); } else { throw error; } } }, }); This code uses the fs module to asynchronously delete the file. If the file does not exist, it catches the error and logs that the file was not found. If there are other errors, it throws them to be handled by Pipedream’s error handling.
how to list all items in /tmp folder
To list all items in the /tmp folder in a Python step within a Pipedream workflow, you can use the following code snippet: import os # Prints the files in the tmp directory print(os.listdir('/tmp')) This code will print the list of files and directories in the /tmp directory to the Logs section of Results in your Pipedream workflow.
how to list all items in /tmp folder using node.js
markdown To list all items in the `/tmp` folder using Node.js in a Pipedream workflow, you can use the following code snippet:
``` import fs from "fs"; export default defineComponent({ async run({ steps, $ }) { return fs.readdirSync("/tmp"); } }); ```
This code uses the `fs` module to synchronously read the contents of the `/tmp` directory and return the list of files. Remember that the `/tmp` directory is specific to the execution environment and is not guaranteed to persist across workflow runs. Files may remain between executions, but you should manage them appropriately to ensure they do not affect your workflow.