langchain/docs/modules/indexes/text_splitters/examples/code_splitter.ipynb

{
 "cells": [
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# CodeTextSplitter\n",
    "\n",
    "CodeTextSplitter allows you to split your code with multiple language support. Import enum `Language` and specify the language. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "from langchain.text_splitter import (\n",
    "    CodeTextSplitter,\n",
    "    Language,\n",
    ")"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Choose a language to use"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "python_splitter = CodeTextSplitter(\n",
    "    language=Language.PYTHON, chunk_size=16, chunk_overlap=0\n",
    ")\n",
    "js_splitter = CodeTextSplitter(\n",
    "    language=Language.JS, chunk_size=16, chunk_overlap=0\n",
    ")"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Split the code"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[Document(page_content='def', metadata={}),\n",
       " Document(page_content='hello_world():', metadata={}),\n",
       " Document(page_content='print(\"Hello,', metadata={}),\n",
       " Document(page_content='World!\")', metadata={}),\n",
       " Document(page_content='# Call the', metadata={}),\n",
       " Document(page_content='function', metadata={}),\n",
       " Document(page_content='hello_world()', metadata={})]"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "PYTHON_CODE = \"\"\"\n",
    "def hello_world():\n",
    "    print(\"Hello, World!\")\n",
    "\n",
    "# Call the function\n",
    "hello_world()\n",
    "\"\"\"\n",
    "\n",
    "python_docs = python_splitter.create_documents([PYTHON_CODE])\n",
    "python_docs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[Document(page_content='function', metadata={}),\n",
       " Document(page_content='helloWorld() {', metadata={}),\n",
       " Document(page_content='console.log(\"He', metadata={}),\n",
       " Document(page_content='llo,', metadata={}),\n",
       " Document(page_content='World!\");', metadata={}),\n",
       " Document(page_content='}', metadata={}),\n",
       " Document(page_content='// Call the', metadata={}),\n",
       " Document(page_content='function', metadata={}),\n",
       " Document(page_content='helloWorld();', metadata={})]"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "JS_CODE = \"\"\"\n",
    "function helloWorld() {\n",
    "  console.log(\"Hello, World!\");\n",
    "}\n",
    "\n",
    "// Call the function\n",
    "helloWorld();\n",
    "\"\"\"\n",
    "\n",
    "js_docs = js_splitter.create_documents([JS_CODE])\n",
    "js_docs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "langchain",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.12"
  },
  "orig_nbformat": 4
 },
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 "nbformat_minor": 2
}