aws-lambda-tensorflow | Gulp plugin to deploy tensorflow in aws lambda | Cloud Functions library

I'm trying to create a Firebase Function but I'm running into a deploy error, even when deploying the default helloworld function.

The firebase-debug.log file mentions this: Could not find image for function projects/picci-e030e/locations/us-central1/functions/helloWorld.

I have been trying to debug and so far have not been able to solve it...

firebase-debug.log

The firebase extension for a distributed counter can be directly installed for the cloud and works just fine. To develop new features for an app I need to do this on the emulator to not interrupt the running server.

As the firebase extensions simply are cloud Functions*, I thought about implementing the cloud function in my emulator by getting the source code from the extension itself. This worked fine for other extentions so far...

When implementing the javaScript version that i get the following error:

function ignored because the unknown emulator does not exist or is not running.

This problem can be fixed by rewriting the export line of the index.jsfunctions, but is wont provide the expected functionality of the extension anyhow:

Context: I am training a very similar model per bigquery dataset in Google Vertex AI, but I want to have a custom training image for each existing dataset (in Google BigQuery). In that sense, I need to programatically build a custom Docker Image in the container registry on demand. My idea was to have a Google Cloud Function do it, being triggered by PubSub topic with information regarding which dataset I want to build the training container for. So naturally, the function will write the Dockerfile and pertinent scripts to a /tmp folder within Cloud Functions (the only writable place as per my knowledge). However, when I try to actually build the container within this script, apparently, it doesn't find the /tmp folder or its contents, even though they are there (checked with logging operations).

The troubling code so far:

I am trying to setup a Firebase Cloud Functions repo to run mocha test. However, it throws the following error when I use import * as firebase from "firebase-functions-test"; or const firebase = require("firebase-functions-test")();. You can see in my code that I haven't even called the actual firebase functions yet so I think this a setup issue.

Question: What change do I need to make mocha test running for Firebase Functions testing using import syntax?

Working test code

Right after my TypeScript project initialization in VSCode using firebase tools for composing Firebase Cloud Functions following the official documentation the very first line of the index.ts file displays an error:

Parsing error: Cannot read file '\tsconfig.json' eslint [1,1]

and the .eslintrc.js displays an error:

File is a CommonJS module; it may be converted to an ES6 module.ts(80001)

Since all files are auto-generated these errors are a complete surprise and I want to get rid of them.

For the record, here are the versions installed:

I am new to firebase function and trying to use firebase function with Realtime database (Emulator suite).But when i try to set the value in firebase using the firebase function,it gives an error and doesn't set the value in database.

Error:

Firebase has announced in September 2021 that it is possible now to configure its cloud function autoscaling in a way, so that a certain number of instances will always be running (https://firebase.google.com/docs/functions/manage-functions#min-max-instances).

I have tried to set this up, but I can not get it to work: At first I have set the number of minimum instances in Google Cloud Console: Cloud Console Screenshot After doing this I expected that one instance for that cloud function would run at any time. The metrics of that function indicate that it instances were still scaled down to 0: Cloud functions "Active Instances Metric"

So to me it looks a bit as if my setting is ignored here. Am I missing anything? Google Cloud Console shows me that the number of minimum instances has been set to 1 so it seems to know about it but to ignore it. Is this feature only available in certain regions?

I have also tried to set the number of minimum instances using the Firebase SDK for Cloud Functions (https://www.npmjs.com/package/firebase-functions). This gave me the same result, my setting is still ignored.

I was learning the Go language and tested Google Cloud Functions with go + Google Firestore as the database.

While I was testing the response I got inconsistent responses.

I have used the json Marshaller to convert Firebase data to Json object to return from the API, this API is hosted in the Google Cloud Functions.

I'm trying to trigger Airflow DAG inside of a composer environment with cloud functions. In order to do that I need to get the client id as described here. I've tried with curl command but it doesn't return any value. With a python script I keep getting this error: