langchain/libs/community/langchain_community/document_loaders/airbyte_json.py
mwmajewsk f7a1fd91b8
community: better support of pathlib paths in document loaders (#18396)
So this arose from the
https://github.com/langchain-ai/langchain/pull/18397 problem of document
loaders not supporting `pathlib.Path`.

This pull request provides more uniform support for Path as an argument.
The core ideas for this upgrade: 
- if there is a local file path used as an argument, it should be
supported as `pathlib.Path`
- if there are some external calls that may or may not support Pathlib,
the argument is immidiately converted to `str`
- if there `self.file_path` is used in a way that it allows for it to
stay pathlib without conversion, is is only converted for the metadata.

Twitter handle: https://twitter.com/mwmajewsk
2024-03-26 11:51:52 -04:00

26 lines
865 B
Python

import json
from pathlib import Path
from typing import List, Union
from langchain_core.documents import Document
from langchain_core.utils import stringify_dict
from langchain_community.document_loaders.base import BaseLoader
class AirbyteJSONLoader(BaseLoader):
"""Load local `Airbyte` json files."""
def __init__(self, file_path: Union[str, Path]):
"""Initialize with a file path. This should start with '/tmp/airbyte_local/'."""
self.file_path = file_path
"""Path to the directory containing the json files."""
def load(self) -> List[Document]:
text = ""
for line in open(self.file_path, "r"):
data = json.loads(line)["_airbyte_data"]
text += stringify_dict(data)
metadata = {"source": str(self.file_path)}
return [Document(page_content=text, metadata=metadata)]