mirror of
https://github.com/hwchase17/langchain
synced 2024-11-10 01:10:59 +00:00
ed58eeb9c5
Moved the following modules to new package langchain-community in a backwards compatible fashion: ``` mv langchain/langchain/adapters community/langchain_community mv langchain/langchain/callbacks community/langchain_community/callbacks mv langchain/langchain/chat_loaders community/langchain_community mv langchain/langchain/chat_models community/langchain_community mv langchain/langchain/document_loaders community/langchain_community mv langchain/langchain/docstore community/langchain_community mv langchain/langchain/document_transformers community/langchain_community mv langchain/langchain/embeddings community/langchain_community mv langchain/langchain/graphs community/langchain_community mv langchain/langchain/llms community/langchain_community mv langchain/langchain/memory/chat_message_histories community/langchain_community mv langchain/langchain/retrievers community/langchain_community mv langchain/langchain/storage community/langchain_community mv langchain/langchain/tools community/langchain_community mv langchain/langchain/utilities community/langchain_community mv langchain/langchain/vectorstores community/langchain_community mv langchain/langchain/agents/agent_toolkits community/langchain_community mv langchain/langchain/cache.py community/langchain_community mv langchain/langchain/adapters community/langchain_community mv langchain/langchain/callbacks community/langchain_community/callbacks mv langchain/langchain/chat_loaders community/langchain_community mv langchain/langchain/chat_models community/langchain_community mv langchain/langchain/document_loaders community/langchain_community mv langchain/langchain/docstore community/langchain_community mv langchain/langchain/document_transformers community/langchain_community mv langchain/langchain/embeddings community/langchain_community mv langchain/langchain/graphs community/langchain_community mv langchain/langchain/llms community/langchain_community mv langchain/langchain/memory/chat_message_histories community/langchain_community mv langchain/langchain/retrievers community/langchain_community mv langchain/langchain/storage community/langchain_community mv langchain/langchain/tools community/langchain_community mv langchain/langchain/utilities community/langchain_community mv langchain/langchain/vectorstores community/langchain_community mv langchain/langchain/agents/agent_toolkits community/langchain_community mv langchain/langchain/cache.py community/langchain_community ``` Moved the following to core ``` mv langchain/langchain/utils/json_schema.py core/langchain_core/utils mv langchain/langchain/utils/html.py core/langchain_core/utils mv langchain/langchain/utils/strings.py core/langchain_core/utils cat langchain/langchain/utils/env.py >> core/langchain_core/utils/env.py rm langchain/langchain/utils/env.py ``` See .scripts/community_split/script_integrations.sh for all changes
53 lines
2.0 KiB
Python
53 lines
2.0 KiB
Python
import json
|
|
import urllib.request
|
|
from typing import Any, Iterator, List
|
|
|
|
from langchain_core.documents import Document
|
|
|
|
from langchain_community.document_loaders.base import BaseLoader
|
|
|
|
|
|
class LarkSuiteDocLoader(BaseLoader):
|
|
"""Load from `LarkSuite` (`FeiShu`)."""
|
|
|
|
def __init__(self, domain: str, access_token: str, document_id: str):
|
|
"""Initialize with domain, access_token (tenant / user), and document_id.
|
|
|
|
Args:
|
|
domain: The domain to load the LarkSuite.
|
|
access_token: The access_token to use.
|
|
document_id: The document_id to load.
|
|
"""
|
|
self.domain = domain
|
|
self.access_token = access_token
|
|
self.document_id = document_id
|
|
|
|
def _get_larksuite_api_json_data(self, api_url: str) -> Any:
|
|
"""Get LarkSuite (FeiShu) API response json data."""
|
|
headers = {"Authorization": f"Bearer {self.access_token}"}
|
|
request = urllib.request.Request(api_url, headers=headers)
|
|
with urllib.request.urlopen(request) as response:
|
|
json_data = json.loads(response.read().decode())
|
|
return json_data
|
|
|
|
def lazy_load(self) -> Iterator[Document]:
|
|
"""Lazy load LarkSuite (FeiShu) document."""
|
|
api_url_prefix = f"{self.domain}/open-apis/docx/v1/documents"
|
|
metadata_json = self._get_larksuite_api_json_data(
|
|
f"{api_url_prefix}/{self.document_id}"
|
|
)
|
|
raw_content_json = self._get_larksuite_api_json_data(
|
|
f"{api_url_prefix}/{self.document_id}/raw_content"
|
|
)
|
|
text = raw_content_json["data"]["content"]
|
|
metadata = {
|
|
"document_id": self.document_id,
|
|
"revision_id": metadata_json["data"]["document"]["revision_id"],
|
|
"title": metadata_json["data"]["document"]["title"],
|
|
}
|
|
yield Document(page_content=text, metadata=metadata)
|
|
|
|
def load(self) -> List[Document]:
|
|
"""Load LarkSuite (FeiShu) document."""
|
|
return list(self.lazy_load())
|