gae-dataflow | periodically launch a Dataflow analytics pipeline

by amygdala Python Version: Current License: Apache-2.0

X-Ray Key Features Code Snippets Community Discussions(2)Vulnerabilities Install Support

kandi X-RAY | gae-dataflow Summary

gae-dataflow is a Python library. gae-dataflow has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However gae-dataflow build file is not available. You can download it from GitHub.

An example that shows how to periodically launch a Dataflow analytics pipeline from GAE Flex, that reads from Datastore.

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Quality

Security

License

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Support

gae-dataflow has a low active ecosystem.

It has 40 star(s) with 7 fork(s). There are 4 watchers for this library.

It had no major release in the last 6 months.

There are 0 open issues and 1 have been closed. On average issues are closed in 848 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of gae-dataflow is current.

Quality

gae-dataflow has 0 bugs and 0 code smells.

Security

gae-dataflow has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

gae-dataflow code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

gae-dataflow is licensed under the Apache-2.0 License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

gae-dataflow releases are not available. You will need to build from source code and install.

gae-dataflow has no build file. You will be need to create the build yourself to build the component from source.

gae-dataflow saves you 270 person hours of effort in developing the same functionality from scratch.

It has 655 lines of code, 39 functions and 13 files.

It has low code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed gae-dataflow and discovered the below as its top functions. This is intended to give you an instant insight into gae-dataflow implemented functionality, and help decide if they suit your requirements.

Process tweets from Cloud Datastore .
Get Twitter API .
Launch the dataflow pipeline .
Create a read from the given pcoll .
Make a query protobuf .
Run a custom command .
Return a list of urls .
Start bundle .
Hello!
Argparse argument parser .

Get all kandi verified functions for this library.

gae-dataflow Key Features

No Key Features are available at this moment for gae-dataflow.

gae-dataflow Examples and Code Snippets

No Code Snippets are available at this moment for gae-dataflow.

Community Discussions

Trending Discussions on gae-dataflow

Tweets and followers fetching app with Google App Engine

GAE - cron job failing, with no error message in logs

QUESTION

Tweets and followers fetching app with Google App Engine

Asked 2020-May-01 at 06:10

I'm trying to build an app in Python with Google App Engine that fetches followers of specific accounts and then their tweets. I'm basing it on this template and changing it to adapt it to what I need.

The issue at the moment is that when I try to fetch followers, I get an DeadlineExceededError due to the Twitter API waiting time.

I have found this post on how to fix the same problem and I think that in my case the best solution would be to use backends, but I noticed that they are deprecated.

Does someone know how I can achieve the same result without the deprecated module?

...

ANSWER

Answered 2018-Sep-05 at 16:30

Backends (modules) have been deprecated in favor of Services:

https://cloud.google.com/appengine/docs/flexible/python/an-overview-of-app-engine

For the Service you want to be able to handle requests longer than 60 seconds, set it to Manual Scaling. Then, a request can run for up to 24 hours (or until you shut it down). See:

https://cloud.google.com/appengine/docs/standard/python/how-instances-are-managed#instance_scaling

Of course, your costs may go up with long running instances and request.

Source https://stackoverflow.com/questions/52186851

QUESTION

GAE - cron job failing, with no error message in logs

Asked 2018-Oct-19 at 09:07

I have been trying to run a cron job with GAE (code developed in Python), but when I trigger the job, it fails without any error message -- I can't find anything at all in the logs.

This is happening for a service for which I'm using the flexible environment.

This is the structure of my files:

my_service.yaml looks like this:

...

ANSWER

Answered 2018-Oct-04 at 19:05

EDIT:

def get(self): may have some issues.

First, get may be reserved. Second, you aren't able to send self to that function. Change that to:

def get_service():

EDIT2:

You also need to import logging at the top of any page that uses it. And, you have not imported Flask and its components:

Source https://stackoverflow.com/questions/52647703

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install gae-dataflow

You can download it from GitHub.
You can use gae-dataflow 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.