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kandi X-RAY | google.cloud Summary
kandi X-RAY | google.cloud Summary
GCP Ansible Collection
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Top functions reviewed by kandi - BETA
- Convert to JSON format
- Format a network address
- Return the image for this image
- Format the metadata into a dictionary
- Return a JSON representation of the request
- Create a new node from the response
- Create a new cluster from the response
- Return a dict representation of the request
- Return True if response is different from response
- Convert a resource to a request
- Encodes the request to a dictionary
- Convert clusters to map
- Creates a RegionAutoscaler from the response
- Parse the response from the request
- Return a dictionary representation of the request
- Construct query options
- Parses the response from the request
- Return a dict representation of the trigger
- Construct a TriggerSource from a response
- Construct a Table from the response
- Convert the request into a dictionary
- Convert the request to a dictionary
- Create a new instance from the response
- Wrapper for fetch_resource
- Generate remove_nones from the response
- Generate RemoveNones from response
google.cloud Key Features
google.cloud Examples and Code Snippets
Lines of Code : 1License : Strong Copyleft (GPL-3.0)
Copyansible-galaxy collection install google.cloud
Community Discussions
Trending Discussions on google.cloud
QUESTION
I've modified a piece of code for merging two or more xml files into one. I got it working locally without using or storing files on google cloud storage.
I'd like to use it via cloud functions, which seems to work mostly fine, apart from uploading the final xml file to google cloud storage.
...ANSWER
Answered 2022-Mar-25 at 17:35Sorry for the incomplete question. I've already found a solution and I cant recall the error message I got. Here is my solution:
QUESTION
We are getting logs that calls to k8s are being made, despite our cluster being private, as well as being behind the gcp firewall with a rule that blocks all ingress except IAP IPs (and ICMP). What am I missing?
...ANSWER
Answered 2022-Mar-24 at 20:28The private clusters have a control plane private endpoint and a control plane public endpoint and you can choose to disable the control plane public endpoint, this is the highest level of restricted access. So you can manage the cluster with the private endpoint internal IP address with tools like kubectl and any VM that uses the same subnet that your cluster can also access the private endpoint.However, it is important to say that even if you disable the public endpoint access, Google can use the control plane public endpoint for cluster management purposes, such as scheduled maintenance and automatic control plane upgrades. If you need more information about how to create a private cluster with public endpoint disable, you can consult the following public document.
You can review your public endpoints with the following command:
QUESTION
It's because of virtualenv. You need to install pyinstaller in virtual environment you are using.
I've tried some solutions, but still can't solve this problem,
adding hook path to
hookspath=[]: 'C:\python\lib\site-packages_pyinstaller_hooks_contrib\hooks\stdhooks\hook-google.cloud.bigquery.py'using
--collect-submodules googleor--collect-submodules google.cloudadding hidden import to
hiddenimports=[]
It could go wrong even in the most simple program with single line like from google.cloud import bigquery in test.py
Some error message are as below:
pkg_resources.DistributionNotFound: The 'google-cloud-bigquery' distribution was not found and is required by the application
or while running the main.exe the terminal says
...ANSWER
Answered 2022-Mar-24 at 09:05It's because of virtualenv. You need to install pyinstaller in virtual environment you are using.
QUESTION
I am testing out cloud function and I have things setup, but output is not populating correctly (the output is not being saved into Cloud Storage and my print statements are not populating). Here is my code and my requirements below. I have setup the Cloud Function to just run as a HTTP request trigger type with unauthenticated invocations and having a Runtime service account as a specified account that has write access to Cloud Storage. I have verified that I am calling the correct Entry point.
logs
...ANSWER
Answered 2022-Mar-23 at 01:23As @dko512 mentioned in comments, issue was resolved by recreating and redeploying the Cloud Function.
Posting the answer as community wiki for the benefit of the community that might encounter this use case in the future.
Feel free to edit this answer for additional information.
QUESTION
My API_ENDPOINT is set to europe-west1-aiplatform.googleapis.com.
I define a pipeline:
...ANSWER
Answered 2022-Jan-04 at 14:06Set location = API_ENDPOINT in google.cloud.aiplatform.init.
QUESTION
I am new to Firebase Cloud Functions and have been struggling with adding private npm packages to make my functions work. I understand Firebase will treat them all as public unless specified and will install with npm / yarn what I have in package.json.
The only way for me to tell Firebase that it's a private repository on Github is to add a
.npmrc (containing) - The key I am using is a Personal Access Token from Github-Developers that has all the need it permissions
...ANSWER
Answered 2021-Nov-01 at 08:22After the rest of the day searching for the answer it was the most simple but not the wisest solution that worked:
Completely ignored the .npmrc file and in package.json under dependencies just added the personal access token like so: @github.com
QUESTION
I was successfully able to create signed urls from my gcloud instance by running these commands :
...ANSWER
Answered 2022-Mar-08 at 12:00Posting John Hanley's comment and Tony Stark's comment as community wiki for visibility.
The error occurred because the --impersonate-service-account which OP used is only having the scope devstorage.read which is not enough to sign data.
The following article from John Hanley helped in troubleshooting and resolving the issue.
QUESTION
I am having some trouble combining two requirements that were communicated to me.
The initial requirement I had was to handle exceptions in the GCP Cloud Function I had created to insert JSON data into BigQuery. The basic logic was as follows:
...ANSWER
Answered 2022-Feb-27 at 21:44Building on John's comment. You want to raise the exception in the code you have and then add a try-except to catch/handle the exception and return the error.
QUESTION
Scenario is that we have Project1 from where we are trying to access Project2 GCS. We are passing private key of project 2 to SparkSession and job is running in project 1 but it is giving Invalid PKCS8 data.
Dataproc version - 1.4
...ANSWER
Answered 2022-Feb-18 at 09:14It worked fine with above properties. Problem was I removed -----BEGIN PRIVATE KEY----- and -----END PRIVATE KEY----- from private_key earlier hence it was not working
QUESTION
I am trying to get a Cloud Function to create a Cloud Task that will invoke a Cloud Function. Easy.
The flow and use case are very close to the official tutorial here.
I also looked at this article by Doug Stevenson and in particular its security section.
No luck, I am consistently getting a 16 (UNAUTHENTICATED) error in Cloud Task.
If I can trust what I see in the console it seems that Cloud Task is not attaching the OIDC token to the request:
Yet, in my code I do have the oidcToken object:
ANSWER
Answered 2022-Feb-16 at 22:24Your audience is incorrect. It must end by the function name. Here, you only have the region and the project https://-.cloudfunction.net/. Use the full Cloud Functions URL.
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Install google.cloud
You can use google.cloud like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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