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https://github.com/junyu-w/corgi

Corgi is a command-line workflow manager that helps with your repetitive command usages by organizing them into reusable snippet
https://github.com/junyu-w/corgi

cli command-line-tool corgi golang snippet-manager snippets workflow

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Corgi is a command-line workflow manager that helps with your repetitive command usages by organizing them into reusable snippet

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# Corgi - CLI workflow manager



[![CodeFactor](https://www.codefactor.io/repository/github/drakew/corgi/badge)](https://www.codefactor.io/repository/github/drakew/corgi)

[![MIT License](http://img.shields.io/badge/license-MIT-blue.svg?style=flat)](https://github.com/DrakeW/corgi/blob/master/LICENSE)






Corgi is a command-line tool that helps with your repetitive command usages by organizing them into reusable snippet. See usage by simply running `corgi` or `corgi --help`



Current version: **v0.2.4**

## Examples



Create a new snippet to automate the commands you run repetitively




Execute an existing snippet knowing what command is being run and its output




# Table of Contents



- [Installation](#installation)

    - [Install corgi](#install-corgi)

        - [Homebrew](#homebrew)

        - [Binary](#binary)

        - [Build from scratch](#build-from-scratch)

    - [Install a fuzzy-finder](#install-a-fuzzy-finder)

- [Features](#features)

    - [Create a snippet](#create-a-snippet)

        - [Create from command history](#create-from-command-history)

        - [Define template fields in snippet](#define-template-fields-in-snippet)

        - [Multi-line command support](#multi-line-command-support)

    - [List snippets](#list-snippets)

    - [Execute a snippet](#execute-a-snippet)

        - [Use default value without prompt](#use-default-value-without-prompt)

        - [Select steps to execute](#select-steps-to-execute)

        - [Interactive snippet selection](#interactive-snippet-selection)

    - [Edit a snippet](#edit-a-snippet)

    - [Describe a snippet](#describe-a-snippet)

    - [Share snippets](#share-snippets)

        - [Import snippets](#import-snippets)

        - [Export snippets to JSON and SHELL script](#export-snippets-to-json-and-shell-script)

    - [Remove a snippet](#remove-a-snippet)

    - [Configure corgi](#configure-corgi)

        - [Choose your favorite text editor](#choose-your-favorite-text-editor)

        - [Choose your favorite fuzzy matcher](#choose-your-favorite-fuzzy-matcher)

        - [Choose the directory to store all your snippets](#choose-the-directory-to-store-all-your-snippets)

- [Roadmap](#roadmap)

- [Note](#note)

  

## Installation



### Install `corgi`



#### Homebrew

Run `brew install drakew/corgi/corgi` and you are good to roll!



##### Upgrade Instruction



Upgrade `corgi` from an old version by doing `brew upgrade drakew/corgi/corgi`



If you saw this error `Error: corgi  is already installed` during installation or upgrade. Run the following commands to re-install:

```

brew unlink corgi && brew uninstall corgi && brew install drakew/corgi/corgi

```



#### Binary

To install the binary directly:

1. Download the latest package tarball from [releases](https://github.com/DrakeW/corgi/releases) based on your system (currently support linux and macOS).

2. Unzip the package with `tar -xzvf `

3. `cd `, and `chmod a+x ./corgi` to make sure execution bit is turned.

4. `ln -s $(pwd)/corgi /corgi` to create a softlink

5. Start rolling with `corgi`



#### Build from scratch

If you would like to try some **pre-release** features, try building the executable from scratch:

1. Install the most recent version of `go` language on your system

2. `go get github.com/DrakeW/corgi`

3. `go install github.com/DrakeW/corgi`



### Install a fuzzy-finder

`corgi` will enable interactive selection if you install a fuzzy finder, the currently supported two are [fzf](https://github.com/junegunn/fzf) and [peco](https://github.com/peco/peco).

  

## Features 

To view usage of a specific action, run `corgi  --help`  

  

### Create a snippet

corgi provides an interactive CLI interface to create snippet, and you can start by running  

```  

corgi new  

```  

**NOTE**: To create a snippet, `corgi` will need access to your command history file, which is being set by the `$HISTFILE` env variable. If `$HISTFILE` is not explicitly set, `corgi` will try to infer its location based on currently supported shell types (`bash`, `zsh` and `fish`).



#### Create from command history

If you would like to quickly combine the last couple commands you just executed into a snippet, you could also run  

```  

corgi new --last   

```  



#### Define template fields in snippet

Furthermore, you could also add template fields (with or without default value) to command of a step and reuse the same field, for example:  

```  

tar -xzf .tgz && scp  @:~/

```

And you will be prompted to enter values for those fields when the snippet executes. The value set for the same field name will be applied to **all steps** in a snippet, so you don't have to enter multiple times.



Also if you have field with **multiple default values**, the latest appearance will take precedence over the previous values.



#### Multi-line command support

`corgi` also supports multi-line command where each line has trailling character `"\"`. For example,

```

Step 1:

Command: docker run -p 2181:2181 -p 9092:9092 \

> --env ADVERTISED_HOST="172.17.0.1" \

> --env ADVERTISED_PORT=9092 \

> --env NUM_PARTITIONS="2" \

> --env TOPICS="topic1,topic2" \

> spotify/kafka

```



### List snippets  

To view all snippets saved on your system, run  

```  

corgi list  

```  

  

### Execute a snippet

To execute a snippet, simply run  

```  

corgi exec [] [--use-default] [--step ]

```  

Your commands will run smoothly just as they were being run on a terminal directly, and any prompt that asks for input (for example, password prompt when you `ssh` into a remote server) will work seamlessly as well.



Also note that if you run `cd` command in one of the steps, the current working directory will not change for subsequent steps. But you can always put `cd  && ` to get commands executed inside of your target directory.



#### Use default value without prompt

if `--use-default` is set, then the snippet will execute without asking explicitly for user to set a value for template fields defined, but if there are missing default values, the snippet will fail fast and tell you what fields are missed.



#### Select steps to execute

You can use the `--step` (or `-s`) flag to specify the steps (starting from index 1) you want to execute, for example

```

--step 3    # will only execute step 3

--step 3-5  # will execute step 3 to 5

--step 3-   # will execute step 3 to the last step

```

This can be particularly useful when your workflow fail midway, but you don't want to start the whole workflow from step 1 again.



#### Interactive snippet selection

This feature will guide you through the darkness if you don't have the title of your snippet memorized. Simply type

```

corgi exec [with or without options]

```

and you will be presented an interactive interface to fuzzy-find your snippet (To enable this feature, see [installation instruction](#install-a-fuzzy-finder))






### Edit a snippet

To edit a snippet, run  

```  

corgi edit []  

```  

You'll be able to edit the snippet json file directly with your preferred editor (configurable via `corgi config` command, details see below)



Furthermore, `edit` also provides [fuzzy finding capabilities](#interactive-snippet-selection) when you omit the snippet title.



### Describe a snippet

To see the details of a snippet, you can run (without title will yield interactive title selection)

```

corgi describe []

```

And it will print out each step of the snippet so that you don't have to memorize them.



### Share snippets



#### Import snippets

If someone shares his/her snippet json file(s) with you, you can import it by running

```

corgi import  [...]

```

#### Export snippets to `json` and `shell` script

And similarly, if you already have a workflow defined in a snippet, you can easily share it by exporting via (without title will yield interactive title selection)

```

corgi export [] [-o ] [-t ]

```

By default a json file will be exported, but you can also export a shell script that can run in an environment where `corgi` is not installed, while still having the same organized step-by-step `corgi` experience. To export snippet to a shell script, just do

```

corgi export [] -t shell

```






### Remove a snippet

You can remove a snippet by running (without title will yield interactive title selection)

```

corgi remove []

```

  

### Configure `corgi` 

You can configure corgi to use your existing tools or services and make it more usable (and fluffy)



#### Choose your favorite text editor

You can configure your text editor choice (default is `vim`) for snippet editing, simply run  

```  

corgi config --editor 

```

#### Choose your favorite fuzzy matcher

You can also choose your favorite filter tool (default is 'fzf') for interactive snippet selection by running

```  

corgi config --filter-cmd 

```

#### Choose the directory to store all your snippets

You can configure the path to store all your snippets by running

```  

corgi config --snippets-dir 

```

This way, you can use online file sync/backup services like Dropbox, Box to make your snippet available across all your devices.



## Roadmap  

Here are some features that are currently on the roadmap:  

1. Support concurrent execution of steps  

2. Support remote server configuration, so that snippet can run seamlessly on a remote computer



## Note

Corgi is inspired by [Pet](https://github.com/knqyf263/pet), and aims to advance Pet's command-level usage to a workflow level.