Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
https://github.com/hrsh7th/cmp-buffer
nvim-cmp source for buffer words
https://github.com/hrsh7th/cmp-buffer
nvim-cmp
Last synced: 5 days ago
JSON representation
nvim-cmp source for buffer words
- Host: GitHub
- URL: https://github.com/hrsh7th/cmp-buffer
- Owner: hrsh7th
- License: mit
- Created: 2021-08-03T16:19:57.000Z (over 3 years ago)
- Default Branch: main
- Last Pushed: 2024-04-28T15:00:42.000Z (7 months ago)
- Last Synced: 2024-11-07T10:42:20.887Z (6 days ago)
- Topics: nvim-cmp
- Language: Lua
- Homepage:
- Size: 44.9 KB
- Stars: 620
- Watchers: 10
- Forks: 37
- Open Issues: 34
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# cmp-buffer
nvim-cmp source for buffer words.
## Setup
```lua
require('cmp').setup({
sources = {
{ name = 'buffer' },
},
})
```
## Configuration
The below source configuration are available. To set any of these options, do:
```lua
cmp.setup({
sources = {
{
name = 'buffer',
option = {
-- Options go into this table
},
},
},
})
```
### keyword_length (type: number)
_Default:_ `3`
The number of characters that need to be typed to trigger auto-completion.
### keyword_pattern (type: string)
_Default:_ `[[\%(-\?\d\+\%(\.\d\+\)\?\|\h\w*\%([\-.]\w*\)*\)]]`
A vim's regular expression for creating a word list from buffer content.
You can set this to `[[\k\+]]` if you want to use the `iskeyword` option for recognizing words.
Lua's `[[ ]]` string literals are particularly useful here to avoid escaping all of the backslash
(`\`) characters used for writing regular expressions.
**NOTE:** Be careful with where you set this option! You must do this:
```lua
cmp.setup({
sources = {
{
name = 'buffer',
-- Correct:
option = {
keyword_pattern = [[\k\+]],
}
},
},
})
```
Instead of this:
```lua
cmp.setup({
sources = {
{
name = 'buffer',
-- Wrong:
keyword_pattern = [[\k\+]],
},
},
})
```
The second notation is allowed by nvim-cmp (documented [here](https://github.com/hrsh7th/nvim-cmp#sourcesnumberkeyword_pattern-type-string)), but it is meant for a different purpose and will not be detected by this plugin as the pattern for searching words.
### get_bufnrs (type: fun(): number[])
_Default:_ `function() return { vim.api.nvim_get_current_buf() } end`
A function that specifies the buffer numbers to complete.
You can use the following pre-defined recipes.
##### All buffers
```lua
cmp.setup {
sources = {
{
name = 'buffer',
option = {
get_bufnrs = function()
return vim.api.nvim_list_bufs()
end
}
}
}
}
```
##### Visible buffers
```lua
cmp.setup {
sources = {
{
name = 'buffer',
option = {
get_bufnrs = function()
local bufs = {}
for _, win in ipairs(vim.api.nvim_list_wins()) do
bufs[vim.api.nvim_win_get_buf(win)] = true
end
return vim.tbl_keys(bufs)
end
}
}
}
}
```
### indexing_interval (type: number)
_Default:_ `100`
Optimization option. See the section [Indexing](#indexing-and-how-to-optimize-it).
### indexing_batch_size (type: number)
_Default:_ `1000`
Optimization option. See the section [Indexing](#indexing-and-how-to-optimize-it).
### max_indexed_line_length (type: number)
_Default:_ `1024 * 40` (40 Kilobytes)
Optimization option. See the section [Indexing](#indexing-and-how-to-optimize-it).
## Locality bonus comparator (distance-based sorting)
This source also provides a comparator function which uses information from the word indexer
to sort completion results based on the distance of the word from the cursor line. It will also
sort completion results coming from other sources, such as Language Servers, which might improve
accuracy of their suggestions too. The usage is as follows:
```lua
local cmp = require('cmp')
local cmp_buffer = require('cmp_buffer')
cmp.setup({
sources = {
{ name = 'buffer' },
-- The rest of your sources...
},
sorting = {
comparators = {
function(...) return cmp_buffer:compare_locality(...) end,
-- The rest of your comparators...
}
}
})
```
## Indexing and how to optimize it
When a buffer is opened, this source first has to scan all lines in the buffer, match all words
and store all of their occurrences. This process is called _indexing_. When actually editing the
text in the buffer, the index of words is kept up-to-date with changes to the buffer's contents,
this is called _watching_. It is done by re-running the indexer on just the changed lines.
Indexing happens completely asynchronously in background, unlike watching, which must be performed
synchronously to ensure that the index of words is kept perfectly in-sync with the lines in the
buffer. However, most of the time this will not be a problem since many typical text edit
operations affect only one or two lines, unless you are pasting a 1000-line snippet.
_Note that you can freely edit the buffer while it is being indexed_, the underlying algorithm is
written in such a way that your changes will not break the index or cause errors. If a crash does
happen - it is a bug, so please report it.
The speed of indexing is configurable with two options: `indexing_interval` and
`indexing_batch_size`. Essentially, when indexing, a timer is started, which pulls a batch of
`indexing_batch_size` lines from the buffer, scans them for words, and repeats after
`indexing_interval` milliseconds. Decreasing interval and/or increasing the batch size will make
the indexer faster, but at the expense of higher CPU usage and more lag when editing the file
while indexing is still in progress. Setting `indexing_batch_size` to a negative value will switch
the indexer to the "synchronous" mode: this will process all lines in one go, take less time in
total (since no other code will be running on the Lua thread), but with the obvious downside that
the editor UI will be blocked.
The option `max_indexed_line_length` controls plugin's behavior in files with very long lines.
This is known to slow this source down significantly (see issue [#13](https://github.com/hrsh7th/cmp-buffer/issues/13)),
so by default it will take only the first few kilobytes of the line it is currently on. In other
words, very long lines are not ignored, but only a part of them is indexed.
### Performance on large text files
This source has been tested on code files of a few megabytes in size (5-10) and contains
optimizations for them, however, the indexed words can still take up tens of megabytes of RAM if
the file is large. So, if you wish to avoid accidentally running this source on big files, you
can tweak `get_bufnrs`, for example like this:
```lua
get_bufnrs = function()
local buf = vim.api.nvim_get_current_buf()
local byte_size = vim.api.nvim_buf_get_offset(buf, vim.api.nvim_buf_line_count(buf))
if byte_size > 1024 * 1024 then -- 1 Megabyte max
return {}
end
return { buf }
end
```
Of course, this snippet can be combined with any other recipes for `get_bufnrs`.