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此 JSON 分割器 拆分 JSON 数据，同时允许控制块大小。它深度优先遍历 JSON 数据并构建较小的 JSON 块。它尝试保持嵌套的 JSON 对象完整，但如果需要，为了将块保持在 min_chunk_size 和 max_chunk_size 之间，也会拆分它们。 如果值不是嵌套 JSON，而是一个非常大的字符串，则该字符串不会被拆分。如果您需要对块大小进行硬性限制，请考虑将这些块与递归文本分割器组合使用。有一个可选的预处理步骤来拆分列表，首先将它们转换为 JSON（字典），然后按此方式拆分。
  1. 文本如何拆分：JSON 值。
  2. 块大小如何测量：按字符数。
pip install -qU langchain-text-splitters
首先我们加载一些 JSON 数据： 
import json

import requests

# This is a large nested json object and will be loaded as a python dict
json_data = requests.get("https://api.smith.langchain.com/openapi.json").json()

​
基本用法

指定 max_chunk_size 以约束块大小： 
from langchain_text_splitters import RecursiveJsonSplitter

splitter = RecursiveJsonSplitter(max_chunk_size=300)
要获取 JSON 块，请使用 .split_json 方法： 
# Recursively split json data - If you need to access/manipulate the smaller json chunks
json_chunks = splitter.split_json(json_data=json_data)

for chunk in json_chunks[:3]:
    print(chunk)

{'openapi': '3.1.0', 'info': {'title': 'LangSmith', 'version': '0.1.0'}, 'servers': [{'url': 'https://api.smith.langchain.com', 'description': 'LangSmith API endpoint.'}]}
{'paths': {'/api/v1/sessions/{session_id}': {'get': {'tags': ['tracer-sessions'], 'summary': 'Read Tracer Session', 'description': 'Get a specific session.', 'operationId': 'read_tracer_session_api_v1_sessions__session_id__get'}}}}
{'paths': {'/api/v1/sessions/{session_id}': {'get': {'security': [{'API Key': []}, {'Tenant ID': []}, {'Bearer Auth': []}]}}}}
要获取 LangChain 文档 对象，请使用 .create_documents 方法： 
# The splitter can also output documents
docs = splitter.create_documents(texts=[json_data])

for doc in docs[:3]:
    print(doc)

page_content='{"openapi": "3.1.0", "info": {"title": "LangSmith", "version": "0.1.0"}, "servers": [{"url": "https://api.smith.langchain.com", "description": "LangSmith API endpoint."}]}'
page_content='{"paths": {"/api/v1/sessions/{session_id}": {"get": {"tags": ["tracer-sessions"], "summary": "Read Tracer Session", "description": "Get a specific session.", "operationId": "read_tracer_session_api_v1_sessions__session_id__get"}}}}'
page_content='{"paths": {"/api/v1/sessions/{session_id}": {"get": {"security": [{"API Key": []}, {"Tenant ID": []}, {"Bearer Auth": []}]}}}}'
或者使用 .split_text 直接获取字符串内容： 
texts = splitter.split_text(json_data=json_data)

print(texts[0])
print(texts[1])

{"openapi": "3.1.0", "info": {"title": "LangSmith", "version": "0.1.0"}, "servers": [{"url": "https://api.smith.langchain.com", "description": "LangSmith API endpoint."}]}
{"paths": {"/api/v1/sessions/{session_id}": {"get": {"tags": ["tracer-sessions"], "summary": "Read Tracer Session", "description": "Get a specific session.", "operationId": "read_tracer_session_api_v1_sessions__session_id__get"}}}}

​
如何管理来自列表内容的块大小

请注意，此示例中的一个块大于指定的 max_chunk_size 300。查看其中一个较大的块，我们看到那里有一个列表对象： 
print([len(text) for text in texts][:10])
print()
print(texts[3])

[171, 231, 126, 469, 210, 213, 237, 271, 191, 232]

{"paths": {"/api/v1/sessions/{session_id}": {"get": {"parameters": [{"name": "session_id", "in": "path", "required": true, "schema": {"type": "string", "format": "uuid", "title": "Session Id"}}, {"name": "include_stats", "in": "query", "required": false, "schema": {"type": "boolean", "default": false, "title": "Include Stats"}}, {"name": "accept", "in": "header", "required": false, "schema": {"anyOf": [{"type": "string"}, {"type": "null"}], "title": "Accept"}}]}}}}
JSON 分割器默认不拆分列表。 指定 convert_lists=True 以预处理 JSON，将列表内容转换为字典，其中 index:item 作为 key:val 对： 
texts = splitter.split_text(json_data=json_data, convert_lists=True)
让我们看看块的大小。现在它们都在最大值以下 
print([len(text) for text in texts][:10])

[176, 236, 141, 203, 212, 221, 210, 213, 242, 291]
列表已转换为字典，但即使拆分为多个块，也保留了所有必要的上下文信息： 
print(texts[1])

{"paths": {"/api/v1/sessions/{session_id}": {"get": {"tags": {"0": "tracer-sessions"}, "summary": "Read Tracer Session", "description": "Get a specific session.", "operationId": "read_tracer_session_api_v1_sessions__session_id__get"}}}}

# We can also look at the documents
docs[1]

Document(page_content='{"paths": {"/api/v1/sessions/{session_id}": {"get": {"tags": ["tracer-sessions"], "summary": "Read Tracer Session", "description": "Get a specific session.", "operationId": "read_tracer_session_api_v1_sessions__session_id__get"}}}}')
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