mirror of
https://github.com/hwchase17/langchain
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49 lines
1.8 KiB
Python
49 lines
1.8 KiB
Python
import json
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import urllib.request
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from typing import Any, Iterator
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from langchain_core.documents import Document
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from langchain_community.document_loaders.base import BaseLoader
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class LarkSuiteDocLoader(BaseLoader):
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"""Load from `LarkSuite` (`FeiShu`)."""
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def __init__(self, domain: str, access_token: str, document_id: str):
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"""Initialize with domain, access_token (tenant / user), and document_id.
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Args:
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domain: The domain to load the LarkSuite.
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access_token: The access_token to use.
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document_id: The document_id to load.
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"""
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self.domain = domain
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self.access_token = access_token
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self.document_id = document_id
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def _get_larksuite_api_json_data(self, api_url: str) -> Any:
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"""Get LarkSuite (FeiShu) API response json data."""
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headers = {"Authorization": f"Bearer {self.access_token}"}
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request = urllib.request.Request(api_url, headers=headers)
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with urllib.request.urlopen(request) as response:
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json_data = json.loads(response.read().decode())
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return json_data
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def lazy_load(self) -> Iterator[Document]:
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"""Lazy load LarkSuite (FeiShu) document."""
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api_url_prefix = f"{self.domain}/open-apis/docx/v1/documents"
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metadata_json = self._get_larksuite_api_json_data(
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f"{api_url_prefix}/{self.document_id}"
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)
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raw_content_json = self._get_larksuite_api_json_data(
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f"{api_url_prefix}/{self.document_id}/raw_content"
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)
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text = raw_content_json["data"]["content"]
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metadata = {
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"document_id": self.document_id,
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"revision_id": metadata_json["data"]["document"]["revision_id"],
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"title": metadata_json["data"]["document"]["title"],
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}
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yield Document(page_content=text, metadata=metadata)
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