hangyav/textlsp

Language server for text spell and grammar check with various tools.

textlsp's Issues

[Question] Setup for your asciinema video

Hi!

I was looking at the tree-sitter grammar from latex-lsp and found your video
https://asciinema.org/a/iRarWV0EoL3RGWM360r5KllgC

There, you seem to have synchronized two text side by side: the text and the parsing tree.
When moving on the text, the relevant element in the parsing tree gets highlighted.

Could you share what setup you used to have this?
It is related to one project of mine :)

helix editor unable to perform codeAction

The helix editor always sends a selection width of one character for codeAction, because helix way is "always be selecting." This will always result in sending at least a range of 1 and textLSP returning the error Code action is not supported for range. instead of corrections.

question: how to get other text files to identify as text

I'm trying to get a reStructuredText document (extention .rst) to behave as text and be spell check, but I don't seem to get any checking done.

Is there a config for this or should any document type that isn't one that is known be processed as text?

Support for (natural) languages other than english

I'm not sure which languages are supported by this extension. I have a markdown file in German, Using the config below, Most German words are marked as spelling mistakes, the proposes corrections are mostly nonsensical:

"das" -> "dms"
"aber" -> "Uber"

Are just a few examples. It would be useful if we could specify somehow what language we want to use, but I assume this comes down to which languages are supported by the backend.

    textLSP = {
      analysers = {
        languagetool = {
          enabled = true,
          check_text = {
            on_open = true,
            on_save = true,
            on_change = false,
          },
        },
        gramformer = {
          -- gramformer dependency needs to be installed manually
          enabled = true,
          gpu = false,
          check_text = {
            on_open = false,
            on_save = true,
            on_change = false,
          },
        },
        hf_checker = {
          enabled = false,
          gpu = false,
          quantize = 32,
          model = "pszemraj/flan-t5-large-grammar-synthesis",
          min_length = 40,
          check_text = {
            on_open = false,
            on_save = true,
            on_change = false,
          },
        },
        hf_instruction_checker = {
          enabled = true,
          gpu = false,
          quantize = 32,
          model = "grammarly/coedit-large",
          min_length = 40,
          check_text = {
            on_open = false,
            on_save = true,
            on_change = false,
          },
        },
        hf_completion = {
          enabled = true,
          gpu = false,
          quantize = 32,
          model = "bert-base-multilingual-cased",
          topk = 5,
        },
        -- openai = {
        --   enabled = false,
        --   api_key = "<MY_API_KEY>",
        --   check_text = {
        --     on_open = false,
        --     on_save = false,
        --     on_change = false,
        --   },
        --   model = "gpt-3.5-turbo",
        --   max_token = 16,
        -- },
        -- grammarbot = {
        --   enabled = false,
        --   api_key = "<MY_API_KEY>",
        --   -- longer texts are split, this parameter sets the maximum number of splits per analysis
        --   input_max_requests = 1,
        --   check_text = {
        --     on_open = false,
        --     on_save = false,
        --     on_change = false,
        --   },
        -- },
      },
      documents = {
        -- org = {
        --   org_todo_keywords = {
        --     "TODO",
        --     "IN_PROGRESS",
        --     "DONE",
        --   },
        -- },
        txt = {
          parse = true,
        },
      },
    },