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langchain/libs/community/langchain_community/document_loaders/toml.py

48 lines
1.5 KiB
Python

community[major], core[patch], langchain[patch], experimental[patch]: Create langchain-community (#14463) 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
9 months ago
import json
from pathlib import Path
from typing import Iterator, List, Union
from langchain_core.documents import Document
from langchain_community.document_loaders.base import BaseLoader
class TomlLoader(BaseLoader):
"""Load `TOML` files.
It can load a single source file or several files in a single
directory.
"""
def __init__(self, source: Union[str, Path]):
"""Initialize the TomlLoader with a source file or directory."""
self.source = Path(source)
def load(self) -> List[Document]:
"""Load and return all documents."""
return list(self.lazy_load())
def lazy_load(self) -> Iterator[Document]:
"""Lazily load the TOML documents from the source file or directory."""
import tomli
if self.source.is_file() and self.source.suffix == ".toml":
files = [self.source]
elif self.source.is_dir():
files = list(self.source.glob("**/*.toml"))
else:
raise ValueError("Invalid source path or file type")
for file_path in files:
with file_path.open("r", encoding="utf-8") as file:
content = file.read()
try:
data = tomli.loads(content)
doc = Document(
page_content=json.dumps(data),
metadata={"source": str(file_path)},
)
yield doc
except tomli.TOMLDecodeError as e:
print(f"Error parsing TOML file {file_path}: {e}")