tfsc | Automated tool to find backup files | Continuous Backup library

by Xh4H Python Version: Current License: No License

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

kandi X-RAY | tfsc Summary

tfsc is a Python library typically used in Backup Recovery, Continuous Backup applications. tfsc has no bugs, it has no vulnerabilities and it has low support. However tfsc build file is not available. You can download it from GitHub.

tfsc is an automated and standalone tool to find backup files that may disclose the website's source code.

Support

Quality

Security

License

Reuse

Support

tfsc has a low active ecosystem.

It has 19 star(s) with 2 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

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

It has a neutral sentiment in the developer community.

The latest version of tfsc is current.

Quality

tfsc has 0 bugs and 0 code smells.

Security

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

tfsc code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

tfsc 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

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

tfsc 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.

tfsc saves you 29 person hours of effort in developing the same functionality from scratch.

It has 78 lines of code, 7 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 tfsc and discovered the below as its top functions. This is intended to give you an instant insight into tfsc implemented functionality, and help decide if they suit your requirements.

Start a request
Start the attack .
Print text to console .
make url
Show the results .
Main entry point .
Print text to stdout .

Get all kandi verified functions for this library.

tfsc Key Features

No Key Features are available at this moment for tfsc.

tfsc Examples and Code Snippets

No Code Snippets are available at this moment for tfsc.

Community Discussions

Trending Discussions on tfsc

Git: Backup uncommitted changes to remote repository

How to config webhook for TFS shelveset

QUESTION

Git: Backup uncommitted changes to remote repository

Asked 2021-Feb-13 at 23:32

I want to backup local, uncommitted changes to the remote repository in order to backup the changes (in case the local hard drive breaks etc.)

(In TFSC, I would have just "shelved" the changes into a shelveset (which "lives" on the TF server))

What I tried:

I created a new branch "backup_2021-02-13" and switched to it
I committed the changes.
I pushed it to the remote repo.

At this point of time, my changes have been saved on the remote repository (meaning that I could recover the information in case of a broken local hard drive)

But now I have the following problem: Both in the "master" branch as well as in the "backup_2021-02-13" branch, I cannot see the previously pending changes: I can't see them on the backup branch because they have already been committed (yes, the changes are there, but already committed). I can't see them on the master branch because there, these changes do not exist at all.

But I want to continue working as if the backup process never happened (with all uncommitted changes still being uncommitted).

So, what I did was, I merged the changes from the backup branch to the master branch (no-commit, ff-only, squash). This way, I have my uncommitted changes in the master branch as uncommitted changes, as it was before any backup work.

But I doubt that this is the normal way of doing this.

So, what is the correct (and easiest) way to backup local uncommitted changes to a remote repository, but at the same time leaving the current (master) branch as it is (with all the uncommitted changes still being uncommitted)?

...

ANSWER

Answered 2021-Feb-13 at 17:35

Your process is ok. After switching to master you just need to restore changes committed in the backup branch:

Source https://stackoverflow.com/questions/66187293

QUESTION

How to config webhook for TFS shelveset

Asked 2017-Aug-08 at 09:03

We use TFS shelvesets to perform code reviews in our team. Now we plan to run SonarQube to analyze our code and simplify code review.

I need to configure webhook of something else to run SonarQube. But TFS allows this for changesets but not for shelvesets. We use TFSC for version control and can't migrate to GIT to use pull request.

Does anybody solve this or similar task? How can I implement this functionality?

...

ANSWER

Answered 2017-Aug-08 at 09:03

We cannot achieve that.

The changeset will be submitted when check in the changes, and CI build will be automatically triggered with the latest changeset version but not the Shelveset. And the changes with Shelveset are not really checked in, it will not trigger the CI build.

Besides, For TFVC the services (including webhook) only support Code checked in event, but the shelveset changes are not really checked in. See Team Services service hooks events for details.

So, as you said TFS only allows this for changesets.

The SonarQube extension is very helpful to track the code smells, you can see Microsoft DevOps Blog to know about that.

Source https://stackoverflow.com/questions/45553214

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

Vulnerabilities

No vulnerabilities reported

Install tfsc

You can download it from GitHub.
You can use tfsc 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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