mirror of
				https://github.com/hwchase17/langchain.git
				synced 2025-10-31 07:41:40 +00:00 
			
		
		
		
	- made notebooks consistent: titles, service/format descriptions. - corrected short names to full names, for example, `Word` -> `Microsoft Word` - added missed descriptions - renamed notebook files to make ToC correctly sorted
		
			
				
	
	
		
			97 lines
		
	
	
		
			2.6 KiB
		
	
	
	
		
			Plaintext
		
	
	
	
	
	
			
		
		
	
	
			97 lines
		
	
	
		
			2.6 KiB
		
	
	
	
		
			Plaintext
		
	
	
	
	
	
| {
 | |
|  "cells": [
 | |
|   {
 | |
|    "cell_type": "markdown",
 | |
|    "id": "4284970b",
 | |
|    "metadata": {},
 | |
|    "source": [
 | |
|     "# TOML\n",
 | |
|     "\n",
 | |
|     ">[TOML](https://en.wikipedia.org/wiki/TOML) is a file format for configuration files. It is intended to be easy to read and write, and is designed to map unambiguously to a dictionary. Its specification is open-source. `TOML` is implemented in many programming languages. The name `TOML` is an acronym for \"Tom's Obvious, Minimal Language\" referring to its creator, Tom Preston-Werner.\n",
 | |
|     "\n",
 | |
|     "If you need to load `Toml` files, use the `TomlLoader`."
 | |
|    ]
 | |
|   },
 | |
|   {
 | |
|    "cell_type": "code",
 | |
|    "execution_count": 1,
 | |
|    "id": "202fc42d",
 | |
|    "metadata": {},
 | |
|    "outputs": [],
 | |
|    "source": [
 | |
|     "from langchain.document_loaders import TomlLoader"
 | |
|    ]
 | |
|   },
 | |
|   {
 | |
|    "cell_type": "code",
 | |
|    "execution_count": 2,
 | |
|    "id": "7ecae98c",
 | |
|    "metadata": {},
 | |
|    "outputs": [],
 | |
|    "source": [
 | |
|     "loader = TomlLoader('example_data/fake_rule.toml')"
 | |
|    ]
 | |
|   },
 | |
|   {
 | |
|    "cell_type": "code",
 | |
|    "execution_count": 3,
 | |
|    "id": "eb08c26e",
 | |
|    "metadata": {},
 | |
|    "outputs": [],
 | |
|    "source": [
 | |
|     "rule = loader.load()"
 | |
|    ]
 | |
|   },
 | |
|   {
 | |
|    "cell_type": "code",
 | |
|    "execution_count": 4,
 | |
|    "id": "405d36bc",
 | |
|    "metadata": {},
 | |
|    "outputs": [
 | |
|     {
 | |
|      "data": {
 | |
|       "text/plain": [
 | |
|        "[Document(page_content='{\"internal\": {\"creation_date\": \"2023-05-01\", \"updated_date\": \"2022-05-01\", \"release\": [\"release_type\"], \"min_endpoint_version\": \"some_semantic_version\", \"os_list\": [\"operating_system_list\"]}, \"rule\": {\"uuid\": \"some_uuid\", \"name\": \"Fake Rule Name\", \"description\": \"Fake description of rule\", \"query\": \"process where process.name : \\\\\"somequery\\\\\"\\\\n\", \"threat\": [{\"framework\": \"MITRE ATT&CK\", \"tactic\": {\"name\": \"Execution\", \"id\": \"TA0002\", \"reference\": \"https://attack.mitre.org/tactics/TA0002/\"}}]}}', metadata={'source': 'example_data/fake_rule.toml'})]"
 | |
|       ]
 | |
|      },
 | |
|      "execution_count": 4,
 | |
|      "metadata": {},
 | |
|      "output_type": "execute_result"
 | |
|     }
 | |
|    ],
 | |
|    "source": [
 | |
|     "rule"
 | |
|    ]
 | |
|   },
 | |
|   {
 | |
|    "cell_type": "code",
 | |
|    "execution_count": null,
 | |
|    "id": "a896454d",
 | |
|    "metadata": {},
 | |
|    "outputs": [],
 | |
|    "source": []
 | |
|   }
 | |
|  ],
 | |
|  "metadata": {
 | |
|   "kernelspec": {
 | |
|    "display_name": "Python 3 (ipykernel)",
 | |
|    "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": "3.10.6"
 | |
|   }
 | |
|  },
 | |
|  "nbformat": 4,
 | |
|  "nbformat_minor": 5
 | |
| }
 |