ivy.vim

An [ivy-mode](https://github.com/abo-abo/swiper#ivy) port to neovim. Ivy is a generic completion mechanism for ~~Emacs~~ Nvim
## Installation ### Manually ```sh git clone https://github.com/AdeAttwood/ivy.nvim ~/.config/nvim/pack/bundle/start/ivy.nvim ``` ### Plugin managers Using [lazy.nvim](https://github.com/folke/lazy.nvim) ```lua { "AdeAttwood/ivy.nvim", build = "cargo build --release", }, ``` TODO: Add more plugin managers ### Compiling For the native searching, you will need to compile the shard library. You can do that by running the below command in the root of the plugin. ```sh cargo build --release ``` You will need to have the rust toolchain installed. You can find more about that [here](https://www.rust-lang.org/tools/install) If you get a linker error you may need to install `build-essential` to get `ld`. This is a common issue if you are running the [benchmarks](#benchmarks) in a VM ``` error: linker `cc` not found | = note: No such file or directory (os error 2) ``` To configure auto compiling you can use the [`post-merge`](./post-merge.sample) git hook to compile the library automatically when you update the package. This works well if you are managing your plugins via git. For an example installation you can run the following command. **NOTE:** This will overwrite any post-merge hooks you have already installed. ```sh cp ./post-merge.sample ./.git/hooks/post-merge ``` ## Features ### Commands A command can be run that will launch the completion UI | Command | Key Map | Description | | ------------------ | ----------- | ----------------------------------------------------------- | | IvyFd | \p | Find files in your project with a custom rust file finder | | IvyAg | \/ | Find content in files using the silver searcher | | IvyBuffers | \b | Search though open buffers | | IvyLines | | Search the lines in the current buffer | | IvyWorkspaceSymbol | | Search for workspace symbols using the lsp workspace/symbol | ### Actions Action can be run on selected candidates provide functionality | Action | Key Map | Description | | -------------- | ----------- | ------------------------------------------------------------------------------ | | Complete | \ |Run the completion function, usually this will be opening a file | | Vertical Split | \ |Run the completion function in a new vertical split | | Split | \ |Run the completion function in a new split | | Destroy | \ |Close the results window | | Clear | \ |Clear the results window | | Delete word | \ |Delete the word under the cursor | | Next | \ |Move to the next candidate | | Previous | \ |Move to the previous candidate | | Next Checkpoint| \ |Move to the next candidate and keep Ivy open and focussed | | Previous Checkpoint| \|Move to the previous candidate and keep Ivy open and focussed | Add your own keymaps for an action by adding a `ftplugin/ivy.lua` file in your config. Just add a simple keymap like this: ```lua vim.api.nvim_set_keymap( "n", "", "lua vim.ivy.destroy()", { noremap = true, silent = true, nowait = true }) ``` ## API ### ivy.run The `ivy.run` function is the core function in the plugin, it will launch the completion window and display the items from your items function. When the users accept one of the candidates with an [action](#actions), it will call the callback function to in most cases open the item in the desired location. ```lua ---@param name string ---@param items fun(input: string): { content: string }[] | string ---@param callback fun(result: string, action: string) vim.ivy.run = function(name, items, callback) end ``` #### Name `string` The name is the display name for the command and will be the name of the buffer in the completion window #### Items `fun(input: string): { content: string }[] | string` The items function is a function that will return the candidates to display in the completion window. This can return a string where each line will be a completion item. Or an array of tables where the `content` will be the completion item. #### Callback `fun(result: string, action: string)` The function that will run when the user selects a completion item. Generally this will open the item in the desired location. For example, in the file finder with will open the file in a new buffer. If the user selects the vertical split action it will open the buffer in a new `vsplit` #### Example ```lua vim.ivy.run( -- The name given to the results window and displayed to the user "Title", -- Call back function to get all the candidates that will be displayed in -- the results window, The `input` will be passed in, so you can filter -- your results with the value from the prompt function(input) return { { content = "One" }, { content = "Two" }, { content = "Three" }, } end, -- Action callback that will be called on the completion or checkpoint actions. -- The currently selected item is passed in as the result. function(result) vim.cmd("edit " .. result) end ) ``` ## Benchmarks Benchmarks are of various tasks that ivy will do. The purpose of the benchmarks are to give us a baseline on where to start when trying to optimize performance in the matching and sorting, not to put ivy against other tools. When starting to optimize, you will probably need to get a baseline on your hardware. There are fixtures provided that will create the directory structure of the [kubernetes](https://github.com/kubernetes/kubernetes) source code, from somewhere around commit sha 985c9202ccd250a5fe22c01faf0d8f83d804b9f3. This will create a directory tree of 23511 files a relative large source tree to get a good idea of performance. To create the source tree under `/tmp/ivy-trees/kubernetes` run the following command. This will need to be run for the benchmarks to run. ```bash # Create the source trees bash ./scripts/fixtures.bash # Run the benchmark script luajit ./scripts/benchmark.lua ``` Current benchmark status running on a `e2-standard-2` 2 vCPU + 8 GB memory VM running on GCP. IvyRs (Lua) | Name | Total | Average | Min | Max | | ---------------------------- | ------------- | ------------- | ------------- | ------------- | | ivy_match(file.lua) 1000000x | 04.153531 (s) | 00.000004 (s) | 00.000003 (s) | 00.002429 (s) | | ivy_files(kubernetes) 100x | 03.526795 (s) | 00.035268 (s) | 00.021557 (s) | 00.037127 (s) | IvyRs (Criterion) | Name | Min | Mean | Max | | --------------------- | --------- | --------- | --------- | | ivy_files(kubernetes) | 19.727 ms | 19.784 ms | 19.842 ms | | ivy_match(file.lua) | 2.6772 µs | 2.6822 µs | 2.6873 µs | CPP | Name | Total | Average | Min | Max | | ---------------------------- | ------------- | ------------- | ------------- | ------------- | | ivy_match(file.lua) 1000000x | 01.855197 (s) | 00.000002 (s) | 00.000001 (s) | 00.000177 (s) | | ivy_files(kubernetes) 100x | 14.696396 (s) | 00.146964 (s) | 00.056604 (s) | 00.168478 (s) | ## Other stuff you might like - [ivy-mode](https://github.com/abo-abo/swiper#ivy) - An emacs package that was the inspiration for this nvim plugin - [Command-T](https://github.com/wincent/command-t) - Vim plugin I used before I started this one - [telescope.nvim](https://github.com/nvim-telescope/telescope.nvim) - Another competition plugin, lots of people are using