mirror of
https://github.com/hwchase17/langchain
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37 lines
1.1 KiB
Python
37 lines
1.1 KiB
Python
from typing import 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 AirtableLoader(BaseLoader):
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"""Load the `Airtable` tables."""
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def __init__(self, api_token: str, table_id: str, base_id: str):
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"""Initialize with API token and the IDs for table and base"""
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self.api_token = api_token
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"""Airtable API token."""
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self.table_id = table_id
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"""Airtable table ID."""
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self.base_id = base_id
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"""Airtable base ID."""
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def lazy_load(self) -> Iterator[Document]:
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"""Lazy load Documents from table."""
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from pyairtable import Table
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table = Table(self.api_token, self.base_id, self.table_id)
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records = table.all()
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for record in records:
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# Need to convert record from dict to str
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yield Document(
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page_content=str(record),
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metadata={
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"source": self.base_id + "_" + self.table_id,
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"base_id": self.base_id,
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"table_id": self.table_id,
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},
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)
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