Search files over multiple Git repos, and extract a certain version
Project description
Copyright © 2018 Thomas Johannesmeyer
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the “Software”), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED “AS IS”, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
Description: ![Tagsnag](./docs/Icon/Multi.png)
# Tagsnag
The idea behind Tagsnag is to provide a quick & easy to use cli-tool to extract data for comparison from a similar version over multiple repositories. It was written with educational use in mind: Imagine n groups of students handing in assignments via n Git repositories. The assignments are tagged rather similary and follow the same structure roughly.
## Installation
### Install using pip:
`bash $ pip install Tagsnag `
### Manual Installation
Tagsnag uses Python 3.7 and requires Gitpython to be installed. You can install it using the provided Makefile:
`bash $ make init `
Or manually using pip:
`bash $ pip install gitpython `
## Run
To run tagsnag over all repositories in a directory enter the directory via shell. The whole set of commands can be found by calling –help.
## Overview
Flag | Description |:— | :— |-l, –log | Create a logfile. |-p, –prune | [Read Git manual.](https://git-scm.com/docs/git-prune) May come in handy if tags are replaced a lot. |-s, –autostash | Instead of skipping the untidy repository, stash all changes. |-u, –update | Run git checkout master && git pull origin master on all repositories. |-v, –verbose | Additional logging. |Modes | Necessary Arguments |:— | :— |Extract File | tagsnag –tag=<tag> –filename=<name> –extension=<type> |Extract Dir | tagsnag –tag=<tag> –directory=<name> |Extract via XML | (Deprecated) tagsnag –xml=<path> |–destination=<name> | Optional: Name created destination folder |## Updating repositories
Run git checkout master && git pull origin master on all repositories:
`bash $ tagsnag --update `
## File extraction
`bash $ tagsnag --tag=<tag> \ --filename=<filename> \ --extension=<filetype> \ --destination=<destination_path> `
The following sample will fuzzy search for a tag containing 1.0, check it out and search for a file of type .md containing the string readme in its name. This file will then be copied into the destination folder and be renamed to <repository_name>.md:
`bash $ tagsnag \ --tag=1.0 \ --filename=readme \ --extension=md \ --destination=./ReadmeFiles `
## Directory extraction
Instead of a filename, you can provide a directory name to extract. Tagsnag will copy the first directory it finds matching the name starting from root.
`bash $ tagsnag --tag=<tag> \ --directory=<directory_name> \ --destination=<destination_path> `
### Run with XML file
For more configurability you can put an xml file into the folder containing the repos and run it:
`bash $ tagsnag --xml=<path/of/xml_file> `
## Authors
Thomas Johannesmeyer - [www.geeky.gent](http://geeky.gent)
## License
This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details
## Support
The framework and code are provided as-is, but if you need help or have suggestions, you can contact me anytime at [opensource@geeky.gent](mailto:opensource@geeky.gent?subject=Tagsnag).
## I’d like to hear from you
If you have got any suggestions, please feel free to share them with me. :)
Platform: UNKNOWN Classifier: Programming Language :: Python :: 3 Classifier: License :: OSI Approved :: MIT License Classifier: Operating System :: OS Independent Description-Content-Type: text/markdown
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