" Requires an already running llama.cpp server
" To install either copy or symlink to ~/.vim/autoload/llama.vim
" Then start with either :call llama#doLlamaGen(),
" or add a keybind to your vimrc such as
" nnoremap Z :call llama#doLlamaGen()<CR>
" Similarly, you could add an insert mode keybind with
" inoremap <C-B> <Cmd>call llama#doLlamaGen()<CR>
"
" g:llama_api_url, g:llama_api_key and g:llama_overrides can be configured in your .vimrc
" let g:llama_api_url = "192.168.1.10:8080"
" llama_overrides can also be set through buffer/window scopes. For instance
" autocmd filetype python let b:llama_overrides = {"temp": 0.2}
" Could be added to your .vimrc to automatically set a lower temperature when
" editing a python script
" Additionally, an override dict can be stored at the top of a file
" !*{"stop": ["User:"]}
" Could be added to the start of your chatlog.txt to set the stopping token
" These parameter dicts are merged together from lowest to highest priority:
" server default -> g:llama_overrides -> w:llama_overrides ->
" b:llama_overrides -> in file (!*) overrides
"
" Sublists (like logit_bias and stop) are overridden, not merged
" Example override:
" !*{"logit_bias": [[13, -5], [2, false]], "temperature": 1, "top_k": 5, "top_p": 0.5, "n_predict": 256, "repeat_last_n": 256, "repeat_penalty": 1.17647}
if !exists("g:llama_api_url")
    let g:llama_api_url= "127.0.0.1:8080"
endif
if !exists("g:llama_overrides")
   let g:llama_overrides = {}
endif
const s:querydata = {"n_predict": 256, "stop": [ "\n" ], "stream": v:true }
const s:curlcommand = ['curl','--data-raw', "{\"prompt\":\"### System:\"}", '--silent', '--no-buffer', '--request', 'POST', '--url', g:llama_api_url .. '/completion', '--header', "Content-Type: application/json"]
let s:linedict = {}

func s:callbackHandler(bufn, channel, msg)
   if len(a:msg) < 3
      return
   elseif a:msg[0] == "d"
      let l:msg = a:msg[6:-1]
   else
      let l:msg = a:msg
   endif
   let l:decoded_msg = json_decode(l:msg)
   let l:newtext = split(l:decoded_msg['content'], "\n", 1)
   if len(l:newtext) > 0
      call setbufline(a:bufn, s:linedict[a:bufn], getbufline(a:bufn, s:linedict[a:bufn])[0] .. newtext[0])
   else
      echo "nothing genned"
   endif
   if len(newtext) > 1
      let l:failed = appendbufline(a:bufn, s:linedict[a:bufn], newtext[1:-1])
      let s:linedict[a:bufn] = s:linedict[a:bufn] + len(newtext)-1
   endif
   if has_key(l:decoded_msg, "stop") && l:decoded_msg.stop
       echo "Finished generation"
   endif
endfunction

func llama#doLlamaGen()
   if exists("b:job")
      if job_status(b:job) == "run"
         call job_stop(b:job)
         return
      endif
   endif

   let l:cbuffer = bufnr("%")
   let s:linedict[l:cbuffer] = line('$')
   let l:buflines = getbufline(l:cbuffer, 1, 1000)
   let l:querydata = copy(s:querydata)
   call extend(l:querydata, g:llama_overrides)
   if exists("w:llama_overrides")
      call extend(l:querydata, w:llama_overrides)
   endif
   if exists("b:llama_overrides")
      call extend(l:querydata, b:llama_overrides)
   endif
   if l:buflines[0][0:1] == '!*'
      let l:userdata = json_decode(l:buflines[0][2:-1])
      call extend(l:querydata, l:userdata)
      let l:buflines = l:buflines[1:-1]
   endif
   let l:querydata.prompt = join(l:buflines, "\n")
   let l:curlcommand = copy(s:curlcommand)
   if exists("g:llama_api_key")
       call extend(l:curlcommand, ['--header', 'Authorization: Bearer ' .. g:llama_api_key])
   endif
   let l:curlcommand[2] = json_encode(l:querydata)
   let b:job = job_start(l:curlcommand, {"callback": function("s:callbackHandler", [l:cbuffer])})
endfunction

" Echos the tokkenization of the provided string , or cursor to end of word
" Onus is placed on the user to include the preceding space
func llama#tokenizeWord(...)
    if (a:0 > 0)
        let l:input = a:1
    else
        exe "normal \"*ye"
        let l:input = @*
    endif
    let l:querydata = {"content": l:input}
    let l:curlcommand = copy(s:curlcommand)
    let l:curlcommand[2] = json_encode(l:querydata)
    let l:curlcommand[8] = g:llama_api_url .. "/tokenize"
   let s:token_job = job_start(l:curlcommand, {"callback": function("s:tokenizeWordCallback", [l:input])})
endfunction

func s:tokenizeWordCallback(plaintext, channel, msg)
    echo '"' .. a:plaintext ..'" - ' .. string(json_decode(a:msg).tokens)
endfunction


" Echos the token count of the entire buffer (or provided string)
" Example usage :echo llama#tokenCount()
func llama#tokenCount(...)
    if (a:0 > 0)
        let l:buflines = a:1
    else
        let l:buflines = getline(1,1000)
        if l:buflines[0][0:1] == '!*'
            let l:buflines = l:buflines[1:-1]
        endif
        let l:buflines = join(l:buflines, "\n")
    endif
    let l:querydata = {"content": l:buflines}
    let l:curlcommand = copy(s:curlcommand)
    let l:curlcommand[2] = json_encode(l:querydata)
    let l:curlcommand[8] = g:llama_api_url .. "/tokenize"
   let s:token_job = job_start(l:curlcommand, {"callback": "s:tokenCountCallback"})
endfunction

func s:tokenCountCallback(channel, msg)
    let resp = json_decode(a:msg)
    echo len(resp.tokens)
endfunction