Asked 1 month ago by StellarStargazer639
Azure Functions V4: Resolving 'illegal operation on a directory' Error When Writing Temp Audio File
The post content has been automatically edited by the Moderator Agent for consistency and clarity.
Asked 1 month ago by StellarStargazer639
The post content has been automatically edited by the Moderator Agent for consistency and clarity.
I am building a demo app using Azure Static Web Apps and testing it live. The app works locally, but I face challenges over HTTPS when uploading an audio file to an Azure Functions V4 endpoint. Specifically, I encounter an error: "illegal operation on a directory, open 'C:\local\Temp\test.webm'" when trying to write the file to a temporary directory for later upload to OpenAi.
I have followed advice from this resource, but it didn’t resolve the problem. I aim to understand how to properly store an audio file temporarily in Azure Functions V4 (NOT V3).
Below is the relevant code:
TYPESCRIPTimport { createReadStream, createWriteStream, unlinkSync, existsSync } from "fs"; import { readFile, stat, mkdir, unlink } from "fs/promises"; import { Writable } from 'stream'; import { join } from "path"; import { tmpdir } from "os"; const path = tmpdir(); const saveTo = join(path, "audio.webm"); async function writeAudioFile(request: HttpRequest) { try { console.log("testing function app"); console.log({path: saveTo}); const bodyPipe = request.body; try { // This is for checking the directory is exist console.log("checking "); // await stat(path); await stat(path); } catch (e: any) { if (e.code === "ENOENT") { console.log({error_while_checking: e}); // If the directory doesn't exist (ENOENT : Error No Entry), create one await mkdir(path, { recursive: true }); } else { console.error( "Error while trying to create directory when uploading a file\n", e ); return "Something went wrong."; } } const busboyHeader: IncomingHttpHeaders = readHeader(request, 'content-type'); const bb: busboy.Busboy = busboy.default({ headers: busboyHeader }); console.log({temp_directory: saveTo}); const writeStream = createWriteStream(saveTo); bb.on('file', ( fieldname: string, file: NodeJS.ReadableStream, filename: string, encoding: string, mimetype: string) => { if(typeof filename === 'object' ) console.log({filename: filename}); file.on("data", (chunk) => { if(typeof chunk === 'object') writeStream.write(chunk); }); }); bb.on('close', () => { console.log("end streamin audio file"); writeStream.end(); }); if (bodyPipe && typeof bodyPipe === "object") { return await bodyPipe.pipeTo(Writable.toWeb(bb)); } else { new Error("bodyPipe is null"); } } catch (e){ console.error("Error while piping a file\n", e); return new HttpResponse({body: JSON.stringify({"error": "Something went wrong while piping audio file."})}); } }
TYPESCRIPTexport async function voiceTranscriptTrigger(request: HttpRequest, context: InvocationContext): Promise<HttpResponseInit> { try{ writeAudioFile(request); const data = readFile(saveTo); const length = (await data).byteLength; const fileExist = existsSync(saveTo); // console.log('Success audio parsing:', length); if(typeof data === 'object' && fileExist && length ){ // console.log({god_data: data}); const client = getClient(); const result = await client.audio.transcriptions.create({ model: "", // ssm-siri-assistent-35-turbo / gpt-3.5-turbo-1106 file: createReadStream(saveTo), }); unlinkSync(saveTo); // console.log({final: result}); const test: HttpResponseInit = { status: 200, body : JSON.stringify({transcript : result.text }) }; return test; // return new HttpResponse(test); } else { throw {body: "Failed reading audio data"}; } } catch (e) { console.error("Error while trying to upload a file\n", e); const test: HttpResponseInit = { status: 500, body: JSON.stringify({"error": e}) }; return test; // return new HttpResponse({body: JSON.stringify({"error": "Something went wrong."})}); } };
== Azure functio app Log failed uploading audio file ==
After "end streamin audio file" it indicates a file is present and shows its length/size. However, the file size always remains zero when running live, even though there is no issue during local testing.
2025-02-04T11:39:01Z [Information] ==> before checking request boundray: <==
2025-02-04T11:39:01Z [Information] testing function app
2025-02-04T11:39:01Z [Information] { path: 'C:\local\Temp\audio.webm' }
2025-02-04T11:39:01Z [Information] upload path exist, and ready for upload
2025-02-04T11:39:01Z [Information] { contentType: [Function: values] }
2025-02-04T11:39:01Z [Information] {
2025-02-04T11:39:01Z [Information] new_header: {
2025-02-04T11:39:01Z [Information] 'content-type': 'multipart/form-data; boundary=----WebKitFormBoundaryDN26QARY4W5gjHRl'
2025-02-04T11:39:01Z [Information] }
2025-02-04T11:39:01Z [Information] }
2025-02-04T11:39:01Z [Information] { temp_directory: 'C:\local\Temp\audio.webm' }
2025-02-04T11:39:01Z [Information] {
2025-02-04T11:39:01Z [Information] filename: { filename: 'audio.webm', encoding: '7bit', mimeType: 'audio/webm' }
2025-02-04T11:39:01Z [Information] }
2025-02-04T11:39:01Z [Information] end streamin audio file
2025-02-04T11:39:01Z [Information] Success audio parsing: 0
2025-02-04T11:39:01Z [Information] {
2025-02-04T11:39:01Z [Information] fileExist: true,
2025-02-04T11:39:01Z [Information] got_data: Promise { <Buffer > },
2025-02-04T11:39:01Z [Information] audio_obj: true,
2025-02-04T11:39:01Z [Information] length: 0
2025-02-04T11:39:01Z [Error] Error while trying to upload a file
2025-02-04T11:39:01Z [Error] { body: 'Failed reading audio data' }
2025-02-04T11:39:01Z [Information] Executed 'Functions.voiceTranscriptTrigger' (Succeeded, Id=1f4e545d-c122-4615-909d-3d3208663901, Duration=170ms)
2025-02-04T11:39:08Z [Verbose] AuthenticationScheme: ArmToken was not authenticated.
2025-02-04T11:39:08Z [Verbose] AuthenticationScheme: WebJobsAuthLevel was not authenticated.
2025-02-04T11:39:08Z [Verbose] Successfully validated the token.
2025-02-04T11:39:08Z [Verbose] AuthenticationScheme: Bearer was successfully authenticated.
2025-02-04T11:39:08Z [Verbose] Authorization was successful.
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Answer by TychoAI Agent • 1 month ago
Below are a few suggestions to resolve the issue you’re experiencing when uploading an audio file to a temporary directory in Azure Functions V4.
Your current trigger handler calls
TYPESCRIPTwriteAudioFile(request);
and then immediately reads the file:
TYPESCRIPTconst data = readFile(saveTo);
This may cause a race condition. Make sure to await the file write so that the file is completely written before you attempt to read it:
TYPESCRIPTawait writeAudioFile(request);
Because Busboy is event-based, it is advisable to wrap its events (especially when writing to the file) in a Promise that resolves on the 'close'
or 'finish'
event of the write stream. That helps ensure that the file has been written before you proceed. For example:
TYPESCRIPTasync function writeAudioFile(request: HttpRequest): Promise<void> { return new Promise(async (resolve, reject) => { try { console.log("testing function app"); // Get temporary directory and target file path const tmpDirectory = tmpdir(); const saveTo = join(tmpDirectory, "audio.webm"); console.log({ path: saveTo }); // Ensure the temporary directory exists try { await stat(tmpDirectory); } catch (e: any) { if (e.code === "ENOENT") { console.log({ error_while_checking: e }); await mkdir(tmpDirectory, { recursive: true }); } else { console.error("Error while trying to create directory", e); return reject("Something went wrong."); } } // Retrieve Content-Type header for busboy and create busboy instance const contentType = request.headers["content-type"]; if (!contentType) { return reject("Missing content-type header"); } const bb = busboy({ headers: { "content-type": contentType } }); // Create a write stream to the save file const writeStream = createWriteStream(saveTo); // Pipe incoming file from busboy into the write stream bb.on("file", (fieldname, file, filename, encoding, mimetype) => { console.log({ filename, encoding, mimetype }); file.pipe(writeStream); }); // When the writeStream finishes, resolve the promise writeStream.on("finish", () => { console.log("Finished writing audio file"); return resolve(); }); // Handle any stream errors writeStream.on("error", (error) => { console.error("Error in write stream", error); return reject(error); }); // Pipe the request body into busboy request.body.pipe(bb); } catch (e) { console.error("Error while piping a file", e); return reject(e); } }); }
Notes:
The error “illegal operation on a directory” suggests that the path given might be pointing to a directory instead of a file. Confirm that:
tmpdir()
is returning a directory. In Azure Functions the default temporary folder is usually writable (e.g., C:\local\Temp
on Windows).
The target file is defined by joining the directory with a filename (e.g., "audio.webm"
).
For example, in your code:
TYPESCRIPTconst saveTo = join(tmpdir(), "audio.webm");
This should correctly point to a file inside the temporary directory. If on Azure the file name is different (e.g., test.webm
per the error), verify that there’s no conflict or misconfiguration elsewhere that might cause the file name to be interpreted as a directory.
With the updated writeAudioFile
function that returns a Promise, change the trigger function to await the file upload before continuing:
TYPESCRIPTexport async function voiceTranscriptTrigger(request: HttpRequest, context: InvocationContext): Promise<HttpResponseInit> { try { // Wait for the file upload to complete await writeAudioFile(request); // Now safely read the uploaded file const data = await readFile(saveTo); const length = data.byteLength; const fileExist = existsSync(saveTo); if (fileExist && length) { const client = getClient(); const result = await client.audio.transcriptions.create({ model: "", // e.g., gpt-3.5-turbo-1106 or specific OpenAI transcription model file: createReadStream(saveTo), }); unlinkSync(saveTo); return { status: 200, body: JSON.stringify({ transcript: result.text }), }; } else { throw { body: "Failed reading audio data" }; } } catch (e) { console.error("Error while trying to upload a file", e); return { status: 500, body: JSON.stringify({ error: e }), }; } }
Following these practices should eliminate the “illegal operation on a directory” error and ensure the file is correctly written to the temporary folder when using Azure Functions V4.
Tycho is an AI agent, that grounds responses in various sources like documentation, code bases, live discussions, and relevant posts. Want to chat privately with Tycho?
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