# netlify-lfs-resize-url
 [](https://github.com/PyCQA/bandit) 
## Please note!
Netlify Large Media has now [been deprecated](https://answers.netlify.com/t/large-media-feature-deprecated-but-not-removed/100804). This plugin will no longer be maintained. I would like to take this opportunity to thank everyone who's used it - I hope you've been happy with the service it has provided.
## Description
This plugin provides a filter that allows the user to generate [Netlify Image Transformation](https://www.netlify.com/docs/image-transformation/) resize URL parameters when working with [Netlify Large Media](https://www.netlify.com/docs/large-media/).
## Installation
You can install this plugin by running the following command in your project's directory:
```sh
lektor plugins add netlify-lfs-resize-url
```
## Usage
The `nf_resize` filter works in conjunction with the `url` filter as follows:
```jinja
{% for image in this.attachments.images %}
<img src="{{ image|url|nf_resize(w=720) }}">
{% endfor %}
```
The above will return the following:
```html
<img src="/images/example.png?nf_resize=fit&w=720">
```
### Arguments
Arguments correspond to [Netlify transformation parameters](https://www.netlify.com/docs/image-transformation/#parameters-for-transformation).
| Argument | Accepts | Default |
|-------------|--------------------|---------|
| `nf_resize` | 'fit', 'smartcrop' | 'fit' |
| `h` | Positive integers | `null` |
| `w` | Positive integers | `null` |
## Development
### Testing
All of the tests can be run by executing `test.sh` with the pipenv shell activated.
#### Static analysis and checking
`mypy` is used for static analysis, and `flake8` is used for checking:
```sh
python -m mypy lektor_netlify_lfs_resize_url.py
python -m mypy test.py
python -m flake8 lektor_netlify_lfs_resize_url.py
python -m flake8 test.py
```
#### Unit testing
Python's built-in `unittest` framework is used for unit testing:
```sh
python -m unittest
```
#### Security
`bandit` is used for security testing:
```sh
python -m bandit lektor_netlify_lfs_resize_url.py
```
### Uploading the plugin to PyPI
```sh
python -m build
python -m twine upload dist/*
```
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"description": "# netlify-lfs-resize-url\n\n [](https://github.com/PyCQA/bandit) \n\n## Please note!\n\nNetlify Large Media has now [been deprecated](https://answers.netlify.com/t/large-media-feature-deprecated-but-not-removed/100804). This plugin will no longer be maintained. I would like to take this opportunity to thank everyone who's used it - I hope you've been happy with the service it has provided.\n\n## Description\n\nThis plugin provides a filter that allows the user to generate [Netlify Image Transformation](https://www.netlify.com/docs/image-transformation/) resize URL parameters when working with [Netlify Large Media](https://www.netlify.com/docs/large-media/).\n\n## Installation\n\nYou can install this plugin by running the following command in your project's directory:\n\n```sh\nlektor plugins add netlify-lfs-resize-url\n```\n\n## Usage\n\nThe `nf_resize` filter works in conjunction with the `url` filter as follows:\n\n```jinja\n{% for image in this.attachments.images %}\n <img src=\"{{ image|url|nf_resize(w=720) }}\">\n{% endfor %}\n```\n\nThe above will return the following:\n\n```html\n<img src=\"/images/example.png?nf_resize=fit&w=720\">\n```\n\n### Arguments\n\nArguments correspond to [Netlify transformation parameters](https://www.netlify.com/docs/image-transformation/#parameters-for-transformation).\n\n| Argument | Accepts | Default |\n|-------------|--------------------|---------|\n| `nf_resize` | 'fit', 'smartcrop' | 'fit' |\n| `h` | Positive integers | `null` |\n| `w` | Positive integers | `null` |\n\n## Development\n\n### Testing\n\nAll of the tests can be run by executing `test.sh` with the pipenv shell activated.\n\n#### Static analysis and checking\n\n`mypy` is used for static analysis, and `flake8` is used for checking:\n\n```sh\npython -m mypy lektor_netlify_lfs_resize_url.py\npython -m mypy test.py\npython -m flake8 lektor_netlify_lfs_resize_url.py\npython -m flake8 test.py\n```\n\n#### Unit testing\n\nPython's built-in `unittest` framework is used for unit testing:\n\n```sh\npython -m unittest\n```\n\n#### Security\n\n`bandit` is used for security testing:\n\n```sh\npython -m bandit lektor_netlify_lfs_resize_url.py\n```\n\n### Uploading the plugin to PyPI\n\n```sh\npython -m build\npython -m twine upload dist/*\n```\n",
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