getting-started-python | Code samples for using Python on Google Cloud Platform | Learning library

I've have a question about using Python together with InfluxDB. I've got multiple Rasperry PI's collecting time series data of sensors (like temperature,humidity,..) and saving them to my InfluxDB. Now I want to use another PI to access that Influxdata and do some calculations, like the similarity of those time series. Because the number of queries can differ from time to time i want to dynamically ask for a list of all entries and then query that data.

I did that really helfull tutorial over here: https://www.influxdata.com/blog/getting-started-python-influxdb/
There its stated to use

I am trying to make personal apps on GCP- following the deploying a complex Python app to flexible Google Cloud environment tutorial [ https://cloud.google.com/python/getting-started/using-pub-sub ]. In the 6-pub/sub step- where we learn to use a worker in the backend to do parallel/background tasks: I'm unable to deploy the worker.

I haven't changed the code from the tutorial repo.

REPO: https://github.com/GoogleCloudPlatform/getting-started-python

YAML FILE: https://github.com/GoogleCloudPlatform/getting-started-python/blob/master/6-pubsub/worker.yaml

Command for deploying worker: gcloud app deploy worker.yaml:

I am going through https://www.influxdata.com/blog/getting-started-python-influxdb/ documentation to query influxdb with python.

I am able to create the database:

I've been trying to test a project that I was going to set up on the App Engine. I can't specify my exact code because of confidentiality, but it's customized between the tutorials: Scalable Video Transcoding (Github) and Using Cloud Pub/Sub with Python (Github)

Essentially it runs an App Engine service with Flask to handle incoming requests which enqueue a task through psq, and a worker service that runs psqworker to execute the tasks.

Testing the services themselves worked perfectly. The media I was using was transcoded in the worker service and returned back to my cloud storage.

The problem is that after an hour from starting, whether I queue any tasks or not, each worker instance starts to ramp up to 99-100% CPU usage. When I SSH into an instance, psqworker is the cause. This is really bad on App Engine because it wants to scale and add more instances (which in turn do the same after an hour of starting). I attempted to go through the Stackdriver logs but couldn't find any obvious cause.

I'm also not really sure why Ruby is running on the CPU as well, seen in the screenshot. It's meant to be a custom flexible runtime based off Google's python image.

I ran the services locally on my Windows machine and there was no spike in CPU usage.

The Dockerfile:

I would like to get my custom "Reports" data from my BingAds out with the bingads API. I am using the KeywordsAds.py example, which may not be the correct one. However, my problem starts with the authentication, I cannot seem to find all the authentication inputs needed. I am missing examples in like, so I know if I am inserting the right data: