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Google App Engine POST 500 Missing Module sklearn.pipeline


Google App Engine POST 500 Missing Module sklearn.pipeline

By : Shruthi Reddy
Date : November 19 2020, 03:01 PM
wish help you to fix your issue I'll post the solution I found:
Although my main.py doesn't require scipy or sklearn, I needed both those modules in the requirements.txt for one of the pickle files. Gotta make sure your requirements.txt is consistent when deploying to App Engine.
code :


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Google App Engine: Missing required argument 'module[s]'

Google App Engine: Missing required argument 'module[s]'


By : Cody Ellsworth
Date : March 29 2020, 07:55 AM
I hope this helps . I finally found out the issue. When creating a new Google Web Application project, there are 2 options, Google Web Toolkit and Google App Engine which can be selected. I was selecting both so the project which was being created was a GWT project. So while running it was expecting a gwt module and related configuration file.
The solution was to not select "Google Web Toolkit" when creating a new Google Web Application Project.
Google App Engine has suddenly stopped working, with error 'you are likely missing the Python "PIL" module'

Google App Engine has suddenly stopped working, with error 'you are likely missing the Python "PIL" module'


By : warssion
Date : March 29 2020, 07:55 AM
help you fix your problem Forget about the PIL bit it's just a warning
You need to read the stacktrace and the last line is the most important
code :
--search_indexes_path SEARCH_INDEXES_PATH
                    path to a file used to store search indexes (defaults
                    to a file in --storage_path if not set) (default:
                    None)
--clear_search_indexes [CLEAR_SEARCH_INDEXES] 
                    clear the search indexes (default: False)` 
Running Google Dataflow pipeline from a Google App Engine app?

Running Google Dataflow pipeline from a Google App Engine app?


By : Mark Brend
Date : March 29 2020, 07:55 AM
Hope that helps The short answer is that if you use AppEngine on a Managed VM you will not encounter the AppEngine sandbox limits (OOM when using a F1 or B1 instance class, execution time limit issues, whitelisted JRE classes). If you really want to run within the App Engine sandbox, then your use of the Dataflow SDK most conform to the limits of the AppEngine sandbox. Below I explain common issues and what people have done to conform to the AppEngine sandbox limits.
The Dataflow SDK requires an AppEngine instance class which has enough memory to execute the users application to construct the pipeline, stage any resources, and send the job description to the Dataflow service. Typically we have seen users require using an instance class with more than 128mb of memory to not see OOM errors.
code :
java.lang.SecurityException:
  java.lang.IllegalAccessException: YYY is not allowed on ZZZ
  ...
Bitbucket pipeline to deploy Google App Engine using shell

Bitbucket pipeline to deploy Google App Engine using shell


By : PatientTrak
Date : March 29 2020, 07:55 AM
like below fixes the issue You just need to add "- bash" before the actual bash script is called. In your case it'd be:
code :
pipelines:
  default:
    - step:
        script:
          # Install Google Cloud SDK
          - export CLOUDSDK_CORE_DISABLE_PROMPTS=1
          # Google Cloud SDK is pinned for build reliability. Bump if the SDK complains about deprecation.
          - SDK_VERSION=127.0.0
          - SDK_FILENAME=google-cloud-sdk-${SDK_VERSION}-linux-x86_64.tar.gz
          - curl -O -J https://dl.google.com/dl/cloudsdk/channels/rapid/downloads/${SDK_FILENAME}
          - tar -zxvf ${SDK_FILENAME} --directory ${HOME}
          - export PATH=${PATH}:${HOME}/google-cloud-sdk/bin
          # Install Google App Engine SDK
          - GAE_PYTHONPATH=${HOME}/google_appengine
          - export PYTHONPATH=${PYTHONPATH}:${GAE_PYTHONPATH}
          - python scripts/fetch_gae_sdk.py $(dirname "${GAE_PYTHONPATH}")
          - echo "${PYTHONPATH}" && ls ${GAE_PYTHONPATH}
          # Install app & dev dependencies, test, deploy, test deployment
          - pip --quiet install -r requirements.txt -t lib/
          - echo "key = '${GOOGLE_API_KEY}'" > api_key.py
          - python test_main.py
          - echo ${GOOGLE_CLIENT_SECRET} > client-secret.json
          - gcloud auth activate-service-account --key-file client-secret.json
          - gcloud auth activate-service-account --key-file client-secret.json
          - bash ./deploy.sh dev service-test here
Google app engine(python) ImportError: No module named oauth2 in google app engine

Google app engine(python) ImportError: No module named oauth2 in google app engine


By : Phebe
Date : March 29 2020, 07:55 AM
this one helps. To import third-party modules in App Engine, they need to be included (or symlinked) in the project directory. Your regular PYTHONPATH isn't checked, as modules installed on your local machine most likely won't be available on the production servers.
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