data-flow-monitor | Data Flow Grafana monitoring tools

by snoplus Python Version: 2.0 License: No License

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

kandi X-RAY | data-flow-monitor Summary

data-flow-monitor is a Python library. data-flow-monitor has no bugs, it has no vulnerabilities and it has low support. However data-flow-monitor build file is not available. You can download it from GitHub.

The data-flow monitor is designed to check the SNO+ Grafana page for any issues in transfer efficiency, and report them both daily and weekly to the processing group. As of v2.0, the tool no longer relies on scraping as I was able to finally acquire an API key. This allows the tool to run significantly faster and more reliably as it can simply make a call to the data source and retrieve the result rather than running through all of the webpages.

Support

Quality

Security

License

Reuse

Support

data-flow-monitor has a low active ecosystem.

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

It had no major release in the last 12 months.

There are 1 open issues and 1 have been closed. On average issues are closed in 241 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of data-flow-monitor is 2.0

Quality

data-flow-monitor has 0 bugs and 0 code smells.

Security

data-flow-monitor has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

data-flow-monitor code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

data-flow-monitor 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

data-flow-monitor releases are available to install and integrate.

data-flow-monitor has no build file. You will be need to create the build yourself to build the component from source.

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

It has 179 lines of code, 11 functions and 1 files.

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

Top functions reviewed by kandi - BETA

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

Calculate the gaps in the data_list .
Main entry point .
Fetch data for transfer efficiency
Parse the data returned from the server
Calculate the average efficiency for each individual .
Check if the number of points in the data_list is too many .
Check if the data_list has the same efficiency .
Calculates the efficiency of the efficiency report .
Check if data points are in the correct format .
Sends the report data .

Get all kandi verified functions for this library.

data-flow-monitor Key Features

No Key Features are available at this moment for data-flow-monitor.

data-flow-monitor Examples and Code Snippets

No Code Snippets are available at this moment for data-flow-monitor.

Community Discussions

No Community Discussions are available at this moment for data-flow-monitor.Refer to stack overflow page for discussions.

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

Vulnerabilities

No vulnerabilities reported

Install data-flow-monitor

Download the release directory
Modify run_script.sh to ensure it changes into the correct install directory so that Cron can see the contents.
Add execute permissions to run_script.sh (chmod +x run_script.sh)
Ensure you have the grafana API token stored somewhere and modify run_script.sh to pass in the path to it when running data_processor.py
(OPTIONAL) Schedule as a Cron job so that it runs on a schedule.

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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