batch-ops | Python实现跨平台批量运维小工具。基于yaml配置文件可灵活指定操作单位：host

by jkklee Python Version: Current License: No License

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

kandi X-RAY | batch-ops Summary

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

Python实现跨平台批量运维小工具。基于yaml配置文件可灵活指定操作单位：host(s)或hostgroup(s)；基于多线程可实现多主机并行；基于docopt提供详细的命令行界面

Support

Quality

Security

License

Reuse

Support

batch-ops has a low active ecosystem.

It has 32 star(s) with 20 fork(s). There are 3 watchers for this library.

It had no major release in the last 6 months.

batch-ops has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of batch-ops is current.

Quality

batch-ops has 0 bugs and 0 code smells.

Security

batch-ops has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

batch-ops code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

batch-ops 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

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

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

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

batch-ops saves you 154 person hours of effort in developing the same functionality from scratch.

It has 383 lines of code, 20 functions and 1 files.

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

Top functions reviewed by kandi - BETA

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

Send sftp transfer
Recursively create a directory
Check if path is a file or directory
Helper function to copy files
Get a file or directory
Put a file
Write string to buffer
Return stat for given path
Puts files in src_dir to dst_dir
Print text to stdout
Prints the global lock
Process directory name
Run a command on the remote host
Create ssh client
Get host information
Recursively iterate through nested dicts

Get all kandi verified functions for this library.

batch-ops Key Features

No Key Features are available at this moment for batch-ops.

batch-ops Examples and Code Snippets

No Code Snippets are available at this moment for batch-ops.

Community Discussions

Trending Discussions on batch-ops

Getting 400 Bad Request Error while creating S3 Batch Job from Java Code

AWS S3 tags for automatic replication with specific prefix?

QUESTION

Getting 400 Bad Request Error while creating S3 Batch Job from Java Code

Asked 2020-Aug-19 at 10:46

As per the doc, I am trying to create a batch job from Java Code. I am able to create a job from console with same role and lambda arn, but from code, I am getting 400 Bad Request. Also, I don't see any error message as per this doc

Here is my code snippet -

...

ANSWER

Answered 2020-Aug-16 at 19:57

I was stuck with the same issue today and after some debugging and trying out the same operation on CLI, I found that new JobReport().withBucket(reportBucketName) takes a bucketArn instead of a bucket name.

The actual issue might be different in your case. I suggest you serialize your request from code and try out the same operation in CLI and match both the requests.

AWS Error messages are often not very helpful when we actually need them.

Source https://stackoverflow.com/questions/63406237

QUESTION

AWS S3 tags for automatic replication with specific prefix?

Asked 2020-May-26 at 10:52

I have two S3 buckets set up for cross-region-replication. Whenever there is an upload in the source bucket with a specific prefix, I need the respective data to be replicated to my "processing bucket" in a different region. However I need to know at least some information about the original source bucket after the replication process, because I want to set up multiple buckets including replication with the same destination bucket, while the processing is going to be done via lambda events. I thought about getting this to work with tagging but I can't find ways to automatically tag uploaded data containing a specific prefix before (or after?) they are replicated.

The only thing closing in on this topic I could find was https://docs.aws.amazon.com/AmazonS3/latest/dev/batch-ops-put-object-tagging.html, but I can't make much of that, as I'm not sure, if this is what I'm searching for, especially regarding the automatic replication functionality.

To recap: I want to process data via lambda events and differentiate their origin by information included in the event's json data (originating from specific tags on the S3 file for example).

What is the best way to approach this?

...

ANSWER

Answered 2020-May-26 at 10:52

Tagging Objects

Tagging objects depends on how they are being uploaded into S3. If you are using the CLI. After you have copied the file with aws s3 cp you can call the s3api commands to add tags.

Source https://stackoverflow.com/questions/62019175

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

Vulnerabilities

No vulnerabilities reported

Install batch-ops

You can download it from GitHub.
You can use batch-ops 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 .

Find more information at: