mirror of
https://github.com/hwchase17/langchain
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6567b73e1a
This implements a loader of text passages in JSON format. The `jq` syntax is used to define a schema for accessing the relevant contents from the JSON file. This requires dependency on the `jq` package: https://pypi.org/project/jq/. --------- Signed-off-by: Aivin V. Solatorio <avsolatorio@gmail.com>
368 lines
18 KiB
Plaintext
368 lines
18 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"# JSON Files\n",
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"\n",
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"The `JSONLoader` uses a specified [jq schema](https://en.wikipedia.org/wiki/Jq_(programming_language)) to parse the JSON files.\n",
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"\n",
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"This notebook shows how to use the `JSONLoader` to load [JSON](https://en.wikipedia.org/wiki/JSON) files into documents. A few examples of `jq` schema extracting different parts of a JSON file are also shown.\n",
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"\n",
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"Check this [manual](https://stedolan.github.io/jq/manual/#Basicfilters) for a detailed documentation of the `jq` syntax."
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"!pip install jq"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 1,
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"metadata": {
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"jupyter": {
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"outputs_hidden": true
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}
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},
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"outputs": [],
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"source": [
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"from langchain.document_loaders import JSONLoader"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"metadata": {},
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"outputs": [],
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"source": [
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"import json\n",
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"from pathlib import Path\n",
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"from pprint import pprint\n",
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"\n",
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"\n",
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"file_path='./example_data/facebook_chat.json'\n",
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"data = json.loads(Path(file_path).read_text())"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 3,
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"{'image': {'creation_timestamp': 1675549016, 'uri': 'image_of_the_chat.jpg'},\n",
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" 'is_still_participant': True,\n",
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" 'joinable_mode': {'link': '', 'mode': 1},\n",
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" 'magic_words': [],\n",
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" 'messages': [{'content': 'Bye!',\n",
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" 'sender_name': 'User 2',\n",
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" 'timestamp_ms': 1675597571851},\n",
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" {'content': 'Oh no worries! Bye',\n",
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" 'sender_name': 'User 1',\n",
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" 'timestamp_ms': 1675597435669},\n",
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" {'content': 'No Im sorry it was my mistake, the blue one is not '\n",
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" 'for sale',\n",
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" 'sender_name': 'User 2',\n",
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" 'timestamp_ms': 1675596277579},\n",
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" {'content': 'I thought you were selling the blue one!',\n",
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" 'sender_name': 'User 1',\n",
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" 'timestamp_ms': 1675595140251},\n",
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" {'content': 'Im not interested in this bag. Im interested in the '\n",
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" 'blue one!',\n",
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" 'sender_name': 'User 1',\n",
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" 'timestamp_ms': 1675595109305},\n",
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" {'content': 'Here is $129',\n",
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" 'sender_name': 'User 2',\n",
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" 'timestamp_ms': 1675595068468},\n",
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" {'photos': [{'creation_timestamp': 1675595059,\n",
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" 'uri': 'url_of_some_picture.jpg'}],\n",
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" 'sender_name': 'User 2',\n",
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" 'timestamp_ms': 1675595060730},\n",
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" {'content': 'Online is at least $100',\n",
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" 'sender_name': 'User 2',\n",
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" 'timestamp_ms': 1675595045152},\n",
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" {'content': 'How much do you want?',\n",
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" 'sender_name': 'User 1',\n",
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" 'timestamp_ms': 1675594799696},\n",
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" {'content': 'Goodmorning! $50 is too low.',\n",
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" 'sender_name': 'User 2',\n",
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" 'timestamp_ms': 1675577876645},\n",
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" {'content': 'Hi! Im interested in your bag. Im offering $50. Let '\n",
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" 'me know if you are interested. Thanks!',\n",
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" 'sender_name': 'User 1',\n",
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" 'timestamp_ms': 1675549022673}],\n",
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" 'participants': [{'name': 'User 1'}, {'name': 'User 2'}],\n",
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" 'thread_path': 'inbox/User 1 and User 2 chat',\n",
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" 'title': 'User 1 and User 2 chat'}\n"
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]
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}
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],
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"source": [
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"pprint(data)"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Using `JSONLoader`\n",
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"\n",
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"Suppose we are interested in extracting the values under the `content` field within the `messages` key of the JSON data. This can easily be done through the `JSONLoader` as shown below."
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]
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},
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{
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"cell_type": "code",
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"execution_count": 4,
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"metadata": {},
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"outputs": [],
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"source": [
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"loader = JSONLoader(\n",
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" file_path='./example_data/facebook_chat.json',\n",
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" jq_schema='.messages[].content')\n",
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"\n",
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"data = loader.load()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 5,
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"[Document(page_content='Bye!', metadata={'source': '/Users/avsolatorio/WBG/langchain/docs/modules/indexes/document_loaders/examples/example_data/facebook_chat.json', 'seq_num': 1}),\n",
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" Document(page_content='Oh no worries! Bye', metadata={'source': '/Users/avsolatorio/WBG/langchain/docs/modules/indexes/document_loaders/examples/example_data/facebook_chat.json', 'seq_num': 2}),\n",
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" Document(page_content='No Im sorry it was my mistake, the blue one is not for sale', metadata={'source': '/Users/avsolatorio/WBG/langchain/docs/modules/indexes/document_loaders/examples/example_data/facebook_chat.json', 'seq_num': 3}),\n",
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" Document(page_content='I thought you were selling the blue one!', metadata={'source': '/Users/avsolatorio/WBG/langchain/docs/modules/indexes/document_loaders/examples/example_data/facebook_chat.json', 'seq_num': 4}),\n",
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" Document(page_content='Im not interested in this bag. Im interested in the blue one!', metadata={'source': '/Users/avsolatorio/WBG/langchain/docs/modules/indexes/document_loaders/examples/example_data/facebook_chat.json', 'seq_num': 5}),\n",
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" Document(page_content='Here is $129', metadata={'source': '/Users/avsolatorio/WBG/langchain/docs/modules/indexes/document_loaders/examples/example_data/facebook_chat.json', 'seq_num': 6}),\n",
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" Document(page_content='', metadata={'source': '/Users/avsolatorio/WBG/langchain/docs/modules/indexes/document_loaders/examples/example_data/facebook_chat.json', 'seq_num': 7}),\n",
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" Document(page_content='Online is at least $100', metadata={'source': '/Users/avsolatorio/WBG/langchain/docs/modules/indexes/document_loaders/examples/example_data/facebook_chat.json', 'seq_num': 8}),\n",
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" Document(page_content='How much do you want?', metadata={'source': '/Users/avsolatorio/WBG/langchain/docs/modules/indexes/document_loaders/examples/example_data/facebook_chat.json', 'seq_num': 9}),\n",
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" Document(page_content='Goodmorning! $50 is too low.', metadata={'source': '/Users/avsolatorio/WBG/langchain/docs/modules/indexes/document_loaders/examples/example_data/facebook_chat.json', 'seq_num': 10}),\n",
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" Document(page_content='Hi! Im interested in your bag. Im offering $50. Let me know if you are interested. Thanks!', metadata={'source': '/Users/avsolatorio/WBG/langchain/docs/modules/indexes/document_loaders/examples/example_data/facebook_chat.json', 'seq_num': 11})]\n"
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]
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}
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],
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"source": [
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"pprint(data)"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Extracting metadata\n",
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"\n",
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"Generally, we want to include metadata available in the JSON file into the documents that we create from the content.\n",
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"\n",
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"The following demonstrates how metadata can be extracted using the `JSONLoader`.\n",
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"\n",
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"There are some key changes to be noted. In the previous example where we didn't collect the metadata, we managed to directly specify in the schema where the value for the `page_content` can be extracted from.\n",
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"\n",
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"```\n",
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".messages[].content\n",
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"```\n",
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"\n",
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"In the current example, we have to tell the loader to iterate over the records in the `messages` field. The jq_schema then has to be:\n",
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"\n",
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"```\n",
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".messages[]\n",
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"```\n",
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"\n",
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"This allows us to pass the records (dict) into the `metadata_func` that has to be implemented. The `metadata_func` is responsible for identifying which pieces of information in the record should be included in the metadata stored in the final `Document` object.\n",
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"\n",
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"Additionally, we now have to explicitly specify in the loader, via the `content_key` argument, the key from the record where the value for the `page_content` needs to be extracted from."
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]
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},
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{
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"cell_type": "code",
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"execution_count": 6,
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"metadata": {},
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"outputs": [],
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"source": [
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"# Define the metadata extraction function.\n",
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"def metadata_func(record: dict, metadata: dict) -> dict:\n",
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"\n",
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" metadata[\"sender_name\"] = record.get(\"sender_name\")\n",
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" metadata[\"timestamp_ms\"] = record.get(\"timestamp_ms\")\n",
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"\n",
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" return metadata\n",
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"\n",
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"\n",
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"loader = JSONLoader(\n",
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" file_path='./example_data/facebook_chat.json',\n",
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" jq_schema='.messages[]',\n",
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" content_key=\"content\",\n",
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" metadata_func=metadata_func\n",
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")\n",
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"\n",
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"data = loader.load()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 7,
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"[Document(page_content='Bye!', metadata={'source': '/Users/avsolatorio/WBG/langchain/docs/modules/indexes/document_loaders/examples/example_data/facebook_chat.json', 'seq_num': 1, 'sender_name': 'User 2', 'timestamp_ms': 1675597571851}),\n",
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" Document(page_content='Oh no worries! Bye', metadata={'source': '/Users/avsolatorio/WBG/langchain/docs/modules/indexes/document_loaders/examples/example_data/facebook_chat.json', 'seq_num': 2, 'sender_name': 'User 1', 'timestamp_ms': 1675597435669}),\n",
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" Document(page_content='No Im sorry it was my mistake, the blue one is not for sale', metadata={'source': '/Users/avsolatorio/WBG/langchain/docs/modules/indexes/document_loaders/examples/example_data/facebook_chat.json', 'seq_num': 3, 'sender_name': 'User 2', 'timestamp_ms': 1675596277579}),\n",
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" Document(page_content='I thought you were selling the blue one!', metadata={'source': '/Users/avsolatorio/WBG/langchain/docs/modules/indexes/document_loaders/examples/example_data/facebook_chat.json', 'seq_num': 4, 'sender_name': 'User 1', 'timestamp_ms': 1675595140251}),\n",
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" Document(page_content='Im not interested in this bag. Im interested in the blue one!', metadata={'source': '/Users/avsolatorio/WBG/langchain/docs/modules/indexes/document_loaders/examples/example_data/facebook_chat.json', 'seq_num': 5, 'sender_name': 'User 1', 'timestamp_ms': 1675595109305}),\n",
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" Document(page_content='Here is $129', metadata={'source': '/Users/avsolatorio/WBG/langchain/docs/modules/indexes/document_loaders/examples/example_data/facebook_chat.json', 'seq_num': 6, 'sender_name': 'User 2', 'timestamp_ms': 1675595068468}),\n",
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" Document(page_content='', metadata={'source': '/Users/avsolatorio/WBG/langchain/docs/modules/indexes/document_loaders/examples/example_data/facebook_chat.json', 'seq_num': 7, 'sender_name': 'User 2', 'timestamp_ms': 1675595060730}),\n",
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" Document(page_content='Online is at least $100', metadata={'source': '/Users/avsolatorio/WBG/langchain/docs/modules/indexes/document_loaders/examples/example_data/facebook_chat.json', 'seq_num': 8, 'sender_name': 'User 2', 'timestamp_ms': 1675595045152}),\n",
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" Document(page_content='How much do you want?', metadata={'source': '/Users/avsolatorio/WBG/langchain/docs/modules/indexes/document_loaders/examples/example_data/facebook_chat.json', 'seq_num': 9, 'sender_name': 'User 1', 'timestamp_ms': 1675594799696}),\n",
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" Document(page_content='Goodmorning! $50 is too low.', metadata={'source': '/Users/avsolatorio/WBG/langchain/docs/modules/indexes/document_loaders/examples/example_data/facebook_chat.json', 'seq_num': 10, 'sender_name': 'User 2', 'timestamp_ms': 1675577876645}),\n",
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" Document(page_content='Hi! Im interested in your bag. Im offering $50. Let me know if you are interested. Thanks!', metadata={'source': '/Users/avsolatorio/WBG/langchain/docs/modules/indexes/document_loaders/examples/example_data/facebook_chat.json', 'seq_num': 11, 'sender_name': 'User 1', 'timestamp_ms': 1675549022673})]\n"
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]
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}
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],
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"source": [
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"pprint(data)"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"Now, you will see that the documents contain the metadata associated with the content we extracted."
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## The `metadata_func`\n",
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"\n",
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"As shown above, the `metadata_func` accepts the default metadata generated by the `JSONLoader`. This allows full control to the user with respect to how the metadata is formatted.\n",
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"\n",
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"For example, the default metadata contains the `source` and the `seq_num` keys. However, it is possible that the JSON data contain these keys as well. The user can then exploit the `metadata_func` to rename the default keys and use the ones from the JSON data.\n",
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"\n",
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"The example below shows how we can modify the `source` to only contain information of the file source relative to the `langchain` directory."
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]
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},
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{
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"cell_type": "code",
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"execution_count": 8,
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"metadata": {},
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"outputs": [],
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"source": [
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"# Define the metadata extraction function.\n",
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"def metadata_func(record: dict, metadata: dict) -> dict:\n",
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"\n",
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" metadata[\"sender_name\"] = record.get(\"sender_name\")\n",
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" metadata[\"timestamp_ms\"] = record.get(\"timestamp_ms\")\n",
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" \n",
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" if \"source\" in metadata:\n",
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" source = metadata[\"source\"].split(\"/\")\n",
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" source = source[source.index(\"langchain\"):]\n",
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" metadata[\"source\"] = \"/\".join(source)\n",
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"\n",
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" return metadata\n",
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"\n",
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"\n",
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"loader = JSONLoader(\n",
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" file_path='./example_data/facebook_chat.json',\n",
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" jq_schema='.messages[]',\n",
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" content_key=\"content\",\n",
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" metadata_func=metadata_func\n",
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")\n",
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"\n",
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"data = loader.load()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 9,
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"[Document(page_content='Bye!', metadata={'source': 'langchain/docs/modules/indexes/document_loaders/examples/example_data/facebook_chat.json', 'seq_num': 1, 'sender_name': 'User 2', 'timestamp_ms': 1675597571851}),\n",
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" Document(page_content='Oh no worries! Bye', metadata={'source': 'langchain/docs/modules/indexes/document_loaders/examples/example_data/facebook_chat.json', 'seq_num': 2, 'sender_name': 'User 1', 'timestamp_ms': 1675597435669}),\n",
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" Document(page_content='No Im sorry it was my mistake, the blue one is not for sale', metadata={'source': 'langchain/docs/modules/indexes/document_loaders/examples/example_data/facebook_chat.json', 'seq_num': 3, 'sender_name': 'User 2', 'timestamp_ms': 1675596277579}),\n",
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" Document(page_content='I thought you were selling the blue one!', metadata={'source': 'langchain/docs/modules/indexes/document_loaders/examples/example_data/facebook_chat.json', 'seq_num': 4, 'sender_name': 'User 1', 'timestamp_ms': 1675595140251}),\n",
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" Document(page_content='Im not interested in this bag. Im interested in the blue one!', metadata={'source': 'langchain/docs/modules/indexes/document_loaders/examples/example_data/facebook_chat.json', 'seq_num': 5, 'sender_name': 'User 1', 'timestamp_ms': 1675595109305}),\n",
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" Document(page_content='Here is $129', metadata={'source': 'langchain/docs/modules/indexes/document_loaders/examples/example_data/facebook_chat.json', 'seq_num': 6, 'sender_name': 'User 2', 'timestamp_ms': 1675595068468}),\n",
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" Document(page_content='', metadata={'source': 'langchain/docs/modules/indexes/document_loaders/examples/example_data/facebook_chat.json', 'seq_num': 7, 'sender_name': 'User 2', 'timestamp_ms': 1675595060730}),\n",
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" Document(page_content='Online is at least $100', metadata={'source': 'langchain/docs/modules/indexes/document_loaders/examples/example_data/facebook_chat.json', 'seq_num': 8, 'sender_name': 'User 2', 'timestamp_ms': 1675595045152}),\n",
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" Document(page_content='How much do you want?', metadata={'source': 'langchain/docs/modules/indexes/document_loaders/examples/example_data/facebook_chat.json', 'seq_num': 9, 'sender_name': 'User 1', 'timestamp_ms': 1675594799696}),\n",
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" Document(page_content='Goodmorning! $50 is too low.', metadata={'source': 'langchain/docs/modules/indexes/document_loaders/examples/example_data/facebook_chat.json', 'seq_num': 10, 'sender_name': 'User 2', 'timestamp_ms': 1675577876645}),\n",
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" Document(page_content='Hi! Im interested in your bag. Im offering $50. Let me know if you are interested. Thanks!', metadata={'source': 'langchain/docs/modules/indexes/document_loaders/examples/example_data/facebook_chat.json', 'seq_num': 11, 'sender_name': 'User 1', 'timestamp_ms': 1675549022673})]\n"
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]
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}
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],
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"source": [
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"pprint(data)"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Common JSON structures with jq schema\n",
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"\n",
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"The list below provides a reference to the possible `jq_schema` the user can use to extract content from the JSON data depending on the structure.\n",
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"\n",
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"```\n",
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"JSON -> [{\"text\": ...}, {\"text\": ...}, {\"text\": ...}]\n",
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"jq_schema -> \".[].text\"\n",
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" \n",
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"JSON -> {\"key\": [{\"text\": ...}, {\"text\": ...}, {\"text\": ...}]}\n",
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"jq_schema -> \".key[].text\"\n",
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"\n",
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"JSON -> [\"...\", \"...\", \"...\"]\n",
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"jq_schema -> \".[]\"\n",
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"```"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": []
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3 (ipykernel)",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
|
|
"name": "ipython",
|
|
"version": 3
|
|
},
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|
"file_extension": ".py",
|
|
"mimetype": "text/x-python",
|
|
"name": "python",
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|
"nbconvert_exporter": "python",
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|
"pygments_lexer": "ipython3",
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|
"version": "3.9.16"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 4
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|
}
|