bareflow | codoodling on orchestration | Job Orchestrator library

by wrgoldstein Python Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | bareflow Summary

bareflow is a Python library typically used in Data Processing, Job Orchestrator applications. bareflow has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.

codoodling on orchestration

Support

Quality

Security

License

Reuse

Support

bareflow has a low active ecosystem.

It has 3 star(s) with 0 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

bareflow has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of bareflow is current.

Quality

bareflow has no bugs reported.

Security

bareflow has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

bareflow does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

bareflow releases are not available. You will need to build from source code and install.

Build file is available. You can build the component from source.

Installation instructions are not available. Examples and code snippets are available.

Top functions reviewed by kandi - BETA

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

Scheduler scheduler
Synchronize k8s state
Sync flows
Get a connection to a database
Update a flow run step
Get a specific flow run
Return the list of unschedule_steps to start up
Return a Postgresql connection
Creates a new flow run and returns it
Get information about a flow run
Wrap a function asynchronously
Add a step to the workflow
Notify server
Return the number of flows in the bareflow run
Feed websocket messages
Insert a new flow entry
Get all open flows
Setup the bareflow tables
Delete a flow by id

Get all kandi verified functions for this library.

bareflow Key Features

No Key Features are available at this moment for bareflow.

bareflow Examples and Code Snippets

No Code Snippets are available at this moment for bareflow.

Community Discussions

Trending Discussions on Job Orchestrator

Azure OPC Publisher says "no job received" when trying to write OPC UA data to cloud

QUESTION

Azure OPC Publisher says "no job received" when trying to write OPC UA data to cloud

Asked 2020-May-24 at 13:58

im trying to follow those tutorials:

https://sandervandevelde.wordpress.com/2018/11/06/getting-started-with-opc-ua-on-azure-iot-edge/ and https://docs.microsoft.com/en-us/azure/iot-accelerators/howto-opc-publisher-run

to bring data from an opc-ua server to the azure cloud.

I have already successfully played through the https://docs.microsoft.com/en-us/azure/iot-edge/quickstart tutorial.

I think maybe the OPCPublisher does not find the configuration file?!

I set up the configuration file under C:\iiotedge\pn.json (with changed ip):

...

ANSWER

Answered 2020-May-24 at 13:58

Was facing the same issue. It looks like the container is not running in appdata but in app. I've changed the createOptions to:

Source https://stackoverflow.com/questions/61938039

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

Vulnerabilities

No vulnerabilities reported

Install bareflow

You can download it from GitHub.
You can use bareflow 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.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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