blob42/langchain
1
0
Fork 0
forked from Archives/langchain
Code Issues Pull Requests Packages Projects Releases Wiki Activity
fe8bbc2da7
langchain/docs/modules/indexes/document_loaders/examples/json.ipynb
Leonid Ganeline 33929489b9
docs: added missed document_loaders examples (#5150) 
# DOCS added missed document_loader examples

Added missed examples: `JSON`, `Open Document Format (ODT)`,
`Wikipedia`, `tomarkdown`.
Updated them to a consistent format.

## Who can review?

@hwchase17 
@dev2049
2023-05-23 21:56:41 -07:00

370 lines
18 KiB
Plaintext
Raw Blame History

This file contains ambiguous Unicode characters

This file contains Unicode characters that might be confused with other characters. If you think that this is intentional, you can safely ignore this warning. Use the Escape button to reveal them.

{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# JSON\n",
"\n",
">[JSON (JavaScript Object Notation)](https://en.wikipedia.org/wiki/JSON) is an open standard file format and data interchange format that uses human-readable text to store and transmit data objects consisting of attribute–value pairs and arrays (or other serializable values).\n",
"\n",
">The `JSONLoader` uses a specified [jq schema](https://en.wikipedia.org/wiki/Jq_(programming_language)) to parse the JSON files. It uses the `jq` python package.\n",
"Check this [manual](https://stedolan.github.io/jq/manual/#Basicfilters) for a detailed documentation of the `jq` syntax."
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {
"tags": []
},
"outputs": [],
"source": [
"#!pip install jq"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {
"collapsed": true,
"jupyter": {
"outputs_hidden": true
}
},
"outputs": [],
"source": [
"from langchain.document_loaders import JSONLoader"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"import json\n",
"from pathlib import Path\n",
"from pprint import pprint\n",
"\n",
"\n",
"file_path='./example_data/facebook_chat.json'\n",
"data = json.loads(Path(file_path).read_text())"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"{'image': {'creation_timestamp': 1675549016, 'uri': 'image_of_the_chat.jpg'},\n",
" 'is_still_participant': True,\n",
" 'joinable_mode': {'link': '', 'mode': 1},\n",
" 'magic_words': [],\n",
" 'messages': [{'content': 'Bye!',\n",
" 'sender_name': 'User 2',\n",
" 'timestamp_ms': 1675597571851},\n",
" {'content': 'Oh no worries! Bye',\n",
" 'sender_name': 'User 1',\n",
" 'timestamp_ms': 1675597435669},\n",
" {'content': 'No Im sorry it was my mistake, the blue one is not '\n",
" 'for sale',\n",
" 'sender_name': 'User 2',\n",
" 'timestamp_ms': 1675596277579},\n",
" {'content': 'I thought you were selling the blue one!',\n",
" 'sender_name': 'User 1',\n",
" 'timestamp_ms': 1675595140251},\n",
" {'content': 'Im not interested in this bag. Im interested in the '\n",
" 'blue one!',\n",
" 'sender_name': 'User 1',\n",
" 'timestamp_ms': 1675595109305},\n",
" {'content': 'Here is $129',\n",
" 'sender_name': 'User 2',\n",
" 'timestamp_ms': 1675595068468},\n",
" {'photos': [{'creation_timestamp': 1675595059,\n",
" 'uri': 'url_of_some_picture.jpg'}],\n",
" 'sender_name': 'User 2',\n",
" 'timestamp_ms': 1675595060730},\n",
" {'content': 'Online is at least $100',\n",
" 'sender_name': 'User 2',\n",
" 'timestamp_ms': 1675595045152},\n",
" {'content': 'How much do you want?',\n",
" 'sender_name': 'User 1',\n",
" 'timestamp_ms': 1675594799696},\n",
" {'content': 'Goodmorning! $50 is too low.',\n",
" 'sender_name': 'User 2',\n",
" 'timestamp_ms': 1675577876645},\n",
" {'content': 'Hi! Im interested in your bag. Im offering $50. Let '\n",
" 'me know if you are interested. Thanks!',\n",
" 'sender_name': 'User 1',\n",
" 'timestamp_ms': 1675549022673}],\n",
" 'participants': [{'name': 'User 1'}, {'name': 'User 2'}],\n",
" 'thread_path': 'inbox/User 1 and User 2 chat',\n",
" 'title': 'User 1 and User 2 chat'}\n"
]
}
],
"source": [
"pprint(data)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Using `JSONLoader`\n",
"\n",
"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."
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [],
"source": [
"loader = JSONLoader(\n",
" file_path='./example_data/facebook_chat.json',\n",
" jq_schema='.messages[].content')\n",
"\n",
"data = loader.load()"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"[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",
" 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",
" 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",
" 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",
" 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",
" 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",
" Document(page_content='', metadata={'source': '/Users/avsolatorio/WBG/langchain/docs/modules/indexes/document_loaders/examples/example_data/facebook_chat.json', 'seq_num': 7}),\n",
" 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",
" 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",
" 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",
" 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"
]
}
],
"source": [
"pprint(data)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Extracting metadata\n",
"\n",
"Generally, we want to include metadata available in the JSON file into the documents that we create from the content.\n",
"\n",
"The following demonstrates how metadata can be extracted using the `JSONLoader`.\n",
"\n",
"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",
"\n",
"```\n",
".messages[].content\n",
"```\n",
"\n",
"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",
"\n",
"```\n",
".messages[]\n",
"```\n",
"\n",
"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",
"\n",
"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."
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [],
"source": [
"# Define the metadata extraction function.\n",
"def metadata_func(record: dict, metadata: dict) -> dict:\n",
"\n",
" metadata[\"sender_name\"] = record.get(\"sender_name\")\n",
" metadata[\"timestamp_ms\"] = record.get(\"timestamp_ms\")\n",
"\n",
" return metadata\n",
"\n",
"\n",
"loader = JSONLoader(\n",
" file_path='./example_data/facebook_chat.json',\n",
" jq_schema='.messages[]',\n",
" content_key=\"content\",\n",
" metadata_func=metadata_func\n",
")\n",
"\n",
"data = loader.load()"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"[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",
" 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",
" 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",
" 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",
" 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",
" 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",
" 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",
" 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",
" 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",
" 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",
" 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"
]
}
],
"source": [
"pprint(data)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Now, you will see that the documents contain the metadata associated with the content we extracted."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## The `metadata_func`\n",
"\n",
"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",
"\n",
"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",
"\n",
"The example below shows how we can modify the `source` to only contain information of the file source relative to the `langchain` directory."
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [],
"source": [
"# Define the metadata extraction function.\n",
"def metadata_func(record: dict, metadata: dict) -> dict:\n",
"\n",
" metadata[\"sender_name\"] = record.get(\"sender_name\")\n",
" metadata[\"timestamp_ms\"] = record.get(\"timestamp_ms\")\n",
" \n",
" if \"source\" in metadata:\n",
" source = metadata[\"source\"].split(\"/\")\n",
" source = source[source.index(\"langchain\"):]\n",
" metadata[\"source\"] = \"/\".join(source)\n",
"\n",
" return metadata\n",
"\n",
"\n",
"loader = JSONLoader(\n",
" file_path='./example_data/facebook_chat.json',\n",
" jq_schema='.messages[]',\n",
" content_key=\"content\",\n",
" metadata_func=metadata_func\n",
")\n",
"\n",
"data = loader.load()"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"[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",
" 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",
" 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",
" 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",
" 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",
" 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",
" 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",
" 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",
" 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",
" 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",
" 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"
]
}
],
"source": [
"pprint(data)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Common JSON structures with jq schema\n",
"\n",
"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",
"\n",
"```\n",
"JSON -> [{\"text\": ...}, {\"text\": ...}, {\"text\": ...}]\n",
"jq_schema -> \".[].text\"\n",
" \n",
"JSON -> {\"key\": [{\"text\": ...}, {\"text\": ...}, {\"text\": ...}]}\n",
"jq_schema -> \".key[].text\"\n",
"\n",
"JSON -> [\"...\", \"...\", \"...\"]\n",
"jq_schema -> \".[]\"\n",
"```"
]
},
{
"cell_type": "code",
"execution_count": null,
"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": 4
}
Reference in New Issue View Git Blame Copy Permalink