| Name | glow-cli JSON |
| Version |
0.3.0
JSON |
| download |
| home_page | |
| Summary | Smart CLI tool for shell template |
| upload_time | 2023-12-05 07:15:11 |
| maintainer | |
| docs_url | None |
| author | |
| requires_python | |
| license | |
| keywords |
smart cli
shell template
|
| VCS |
 |
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
# glow
The glow command line interface.
[](https://pypi.org/project/glow-cli/)
[](https://github.com/loopsocial/glow/actions/workflows/publish.yml)
```
________ ____ _ __
/ ____/ / / __ \ | / /
/ / __/ / / / / / | /| / /
/ /_/ / /___/ /_/ /| |/ |/ /
\____/_____/\____/ |__/|__/
____________________________
__________________________________
________________________________________
```
## 📦 Installation
```shell
pip install glow-cli
```
You can set up configuration in `~/.glow/commands/<task>.yml`
## 🚀 Usage
```shell
g list
```
## 🦋 Templating
Say you set up a config at "./commands/pod-shell.yml"
```yaml
description: |
Entering the shell of the 1st pod that matches the keyword
command: |
kubectl exec -it $(kubectl get pods | grep { kw } | head -n 1 | awk '{print $1}') -- /bin/bash
inputs:
kw:
description: keyword to match
type: str
```
you can run the command with:
```shell
g ./commands/pod-shell.yml --kw "app1"
```
Or you can store the configuration by
```shell
g install ./commands/pod-shell.yml
```
Then you can run the command with:
```shell
g pod-shell --kw "app1"
```
## Setup Configs and Secrets
### Setup(CRUD) secrets
```shell
# to make secret token accessible to g command line
g secrets add SOME_TOKEN
g secrets list
g secrets remove SOME_TOKEN
```
### Setup(CRUD) configs
```shell
g config add SOME_CONFIG "us-east-1"
g config list
g config remove SOME_CONFIG
```
## 🦙 LLM in CLI 💻
> Why memorize commands when you can just ask?
Then you can try:
```shell
g llm "redub a.mp4 file with b.mp3, save to c.mp4 with fps 12"
```
Or you can ask other things in general:
```shell
g llm "explain btree to me"
```
Or with certain flavor to the robot role
```shell
g llm "explain btree to me" "you are a poet return everything in homer style"
```
### ✨ combine with other commands
Here's some good use cases to combine with other commands
```shell
g llm "shell into one of the pods: $(kubectl get pods) with keyword app1"
```
```shell
g llm "please summarize the commit message for $(git diff)"
```
```shell
g llm "can you explain the structure of this folder: $(ls -l)"
```
### Choose other model
Use the following to choose other model
```
g configs add GLOW_LLM
```
Raw data
{
"_id": null,
"home_page": "",
"name": "glow-cli",
"maintainer": "",
"docs_url": null,
"requires_python": "",
"maintainer_email": "",
"keywords": "smart cli,shell template",
"author": "",
"author_email": "\"Xiaochen Zhang (Ray)\" <ray@fireworkhq.com>",
"download_url": "https://files.pythonhosted.org/packages/49/f5/e01877dcbedd611d60479bd9c88eb0d2e57808544fa773643112eb6e5a86/glow-cli-0.3.0.tar.gz",
"platform": null,
"description": "# glow\nThe glow command line interface.\n\n[](https://pypi.org/project/glow-cli/)\n[](https://github.com/loopsocial/glow/actions/workflows/publish.yml) \n\n```\n ________ ____ _ __\n / ____/ / / __ \\ | / /\n / / __/ / / / / / | /| / /\n/ /_/ / /___/ /_/ /| |/ |/ /\n\\____/_____/\\____/ |__/|__/\n____________________________\n__________________________________\n________________________________________\n```\n\n## \ud83d\udce6 Installation\n```shell\npip install glow-cli\n```\n\nYou can set up configuration in `~/.glow/commands/<task>.yml`\n\n## \ud83d\ude80 Usage\n\n```shell\ng list\n```\n\n## \ud83e\udd8b Templating\nSay you set up a config at \"./commands/pod-shell.yml\"\n```yaml\ndescription: |\n Entering the shell of the 1st pod that matches the keyword\ncommand: |\n kubectl exec -it $(kubectl get pods | grep { kw } | head -n 1 | awk '{print $1}') -- /bin/bash\ninputs:\n kw:\n description: keyword to match\n type: str\n```\n\nyou can run the command with:\n```shell\ng ./commands/pod-shell.yml --kw \"app1\"\n```\n\nOr you can store the configuration by\n```shell\ng install ./commands/pod-shell.yml\n```\n\nThen you can run the command with:\n```shell\ng pod-shell --kw \"app1\"\n```\n\n## Setup Configs and Secrets\n### Setup(CRUD) secrets\n```shell\n# to make secret token accessible to g command line\ng secrets add SOME_TOKEN\n\ng secrets list\ng secrets remove SOME_TOKEN\n```\n### Setup(CRUD) configs\n```shell\ng config add SOME_CONFIG \"us-east-1\"\ng config list\ng config remove SOME_CONFIG\n```\n\n## \ud83e\udd99 LLM in CLI \ud83d\udcbb\n> Why memorize commands when you can just ask?\n\n\nThen you can try:\n```shell\ng llm \"redub a.mp4 file with b.mp3, save to c.mp4 with fps 12\"\n```\n\nOr you can ask other things in general:\n```shell\ng llm \"explain btree to me\"\n```\n\nOr with certain flavor to the robot role\n```shell\ng llm \"explain btree to me\" \"you are a poet return everything in homer style\"\n```\n\n### \u2728 combine with other commands\nHere's some good use cases to combine with other commands\n```shell\ng llm \"shell into one of the pods: $(kubectl get pods) with keyword app1\"\n```\n\n```shell\ng llm \"please summarize the commit message for $(git diff)\"\n```\n\n```shell\ng llm \"can you explain the structure of this folder: $(ls -l)\"\n```\n\n### Choose other model\nUse the following to choose other model\n```\ng configs add GLOW_LLM\n```\n",
"bugtrack_url": null,
"license": "",
"summary": "Smart CLI tool for shell template",
"version": "0.3.0",
"project_urls": {
"homepage": "https://github.com/loopsocial/glow",
"repository": "https://github.com/loopsocial/glow"
},
"split_keywords": [
"smart cli",
"shell template"
],
"urls": [
{
"comment_text": "",
"digests": {
"blake2b_256": "17de214d348fdfaf5df46ec3bb11b5ec0e6bed6da02fb1f9c7f7d58d138b4261",
"md5": "85919c3b2f7fb28061a33a2348f4024f",
"sha256": "960074b9f47daa0acbca73864acc548cd8ae8f72121f0f478af99c4df88c3184"
},
"downloads": -1,
"filename": "glow_cli-0.3.0-py3-none-any.whl",
"has_sig": false,
"md5_digest": "85919c3b2f7fb28061a33a2348f4024f",
"packagetype": "bdist_wheel",
"python_version": "py3",
"requires_python": null,
"size": 16708,
"upload_time": "2023-12-05T07:15:09",
"upload_time_iso_8601": "2023-12-05T07:15:09.958795Z",
"url": "https://files.pythonhosted.org/packages/17/de/214d348fdfaf5df46ec3bb11b5ec0e6bed6da02fb1f9c7f7d58d138b4261/glow_cli-0.3.0-py3-none-any.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "49f5e01877dcbedd611d60479bd9c88eb0d2e57808544fa773643112eb6e5a86",
"md5": "20f4dce822205db179b0c939772fe066",
"sha256": "c361d86654a8e9eebf834484ba4299af2c7e79249de9c1bc83048f23cdd6ad37"
},
"downloads": -1,
"filename": "glow-cli-0.3.0.tar.gz",
"has_sig": false,
"md5_digest": "20f4dce822205db179b0c939772fe066",
"packagetype": "sdist",
"python_version": "source",
"requires_python": null,
"size": 14533,
"upload_time": "2023-12-05T07:15:11",
"upload_time_iso_8601": "2023-12-05T07:15:11.029204Z",
"url": "https://files.pythonhosted.org/packages/49/f5/e01877dcbedd611d60479bd9c88eb0d2e57808544fa773643112eb6e5a86/glow-cli-0.3.0.tar.gz",
"yanked": false,
"yanked_reason": null
}
],
"upload_time": "2023-12-05 07:15:11",
"github": true,
"gitlab": false,
"bitbucket": false,
"codeberg": false,
"github_user": "loopsocial",
"github_project": "glow",
"github_not_found": true,
"lcname": "glow-cli"
}
