langchain/libs/community/langchain_community/document_loaders/needle.py
Jan Heimes ef365543cb
community: add Needle retriever and document loader integration (#28157)
- [x] **PR title**: "community: add Needle retriever and document loader
integration"
- Where "package" is whichever of langchain, community, core, etc. is
being modified. Use "docs: ..." for purely docs changes, "infra: ..."
for CI changes.
  - Example: "community: add foobar LLM"

- [x] **PR message**: ***Delete this entire checklist*** and replace
with
- **Description:** This PR adds a new integration for Needle, which
includes:
- **NeedleRetriever**: A retriever for fetching documents from Needle
collections.
- **NeedleLoader**: A document loader for managing and loading documents
into Needle collections.
      - Example notebooks demonstrating usage have been added in:
        - `docs/docs/integrations/retrievers/needle.ipynb`
        - `docs/docs/integrations/document_loaders/needle.ipynb`.
- **Dependencies:** The `needle-python` package is required as an
external dependency for accessing Needle's API. It has been added to the
extended testing dependencies list.
- **Twitter handle:** Feel free to mention me if this PR gets announced:
[needlexai](https://x.com/NeedlexAI).

- [x] **Add tests and docs**: If you're adding a new integration, please
include
1. Unit tests have been added for both `NeedleRetriever` and
`NeedleLoader` in `libs/community/tests/unit_tests`. These tests mock
API calls to avoid relying on network access.
2. Example notebooks have been added to `docs/docs/integrations/`,
showcasing both retriever and loader functionality.

- [x] **Lint and test**: Run `make format`, `make lint`, and `make test`
from the root of the package(s) you've modified. See contribution
guidelines for more: https://python.langchain.com/docs/contributing/
  - `make format`: Passed
  - `make lint`: Passed
- `make test`: Passed (requires `needle-python` to be installed locally;
this package is not added to LangChain dependencies).

Additional guidelines:
- [x] Optional dependencies are imported only within functions.
- [x] No dependencies have been added to pyproject.toml files except for
those required for unit tests.
- [x] The PR does not touch more than one package.
- [x] Changes are fully backwards compatible.
- [x] Community additions are not re-imported into LangChain core.

If no one reviews your PR within a few days, please @-mention one of
baskaryan, efriis, eyurtsev, ccurme, vbarda, hwchase17.

---------

Co-authored-by: Erick Friis <erick@langchain.dev>
2024-12-03 22:06:25 +00:00

165 lines
5.2 KiB
Python

from typing import Dict, Iterator, List, Optional
from langchain_core.document_loaders.base import BaseLoader
from langchain_core.documents import Document
class NeedleLoader(BaseLoader):
"""
NeedleLoader is a document loader for managing documents stored in a collection.
Setup:
Install the `needle-python` library and set your Needle API key.
.. code-block:: bash
pip install needle-python
export NEEDLE_API_KEY="your-api-key"
Key init args:
- `needle_api_key` (Optional[str]): API key for authenticating with Needle.
- `collection_id` (str): Needle collection to load documents from.
Usage:
.. code-block:: python
from langchain_community.document_loaders.needle import NeedleLoader
loader = NeedleLoader(
needle_api_key="your-api-key",
collection_id="your-collection-id"
)
# Load documents
documents = loader.load()
for doc in documents:
print(doc.metadata)
# Lazy load documents
for doc in loader.lazy_load():
print(doc.metadata)
"""
def __init__(
self,
needle_api_key: Optional[str] = None,
collection_id: Optional[str] = None,
) -> None:
"""
Initializes the NeedleLoader with API key and collection ID.
Args:
needle_api_key (Optional[str]): API key for authenticating with Needle.
collection_id (Optional[str]): Identifier for the Needle collection.
Raises:
ImportError: If the `needle-python` library is not installed.
ValueError: If the collection ID is not provided.
"""
try:
from needle.v1 import NeedleClient
except ImportError:
raise ImportError(
"Please install with `pip install needle-python` to use NeedleLoader."
)
super().__init__()
self.needle_api_key = needle_api_key
self.collection_id = collection_id
self.client: Optional[NeedleClient] = None
if self.needle_api_key:
self.client = NeedleClient(api_key=self.needle_api_key)
if not self.collection_id:
raise ValueError("Collection ID must be provided.")
def _get_collection(self) -> None:
"""
Ensures the Needle collection is set and the client is initialized.
Raises:
ValueError: If the Needle client is not initialized or
if the collection ID is missing.
"""
if self.client is None:
raise ValueError(
"NeedleClient is not initialized. Provide a valid API key."
)
if not self.collection_id:
raise ValueError("Collection ID must be provided.")
def add_files(self, files: Dict[str, str]) -> None:
"""
Adds files to the Needle collection.
Args:
files (Dict[str, str]): Dictionary where keys are file names and values
are file URLs.
Raises:
ImportError: If the `needle-python` library is not installed.
ValueError: If the collection is not properly initialized.
"""
try:
from needle.v1.models import FileToAdd
except ImportError:
raise ImportError(
"Please install with `pip install needle-python` to add files."
)
self._get_collection()
assert self.client is not None, "NeedleClient must be initialized."
files_to_add = [FileToAdd(name=name, url=url) for name, url in files.items()]
self.client.collections.files.add(
collection_id=self.collection_id, files=files_to_add
)
def _fetch_documents(self) -> List[Document]:
"""
Fetches metadata for documents from the Needle collection.
Returns:
List[Document]: A list of documents with metadata. Content is excluded.
Raises:
ValueError: If the collection is not properly initialized.
"""
self._get_collection()
assert self.client is not None, "NeedleClient must be initialized."
files = self.client.collections.files.list(self.collection_id)
docs = [
Document(
page_content="", # Needle doesn't provide file content fetching
metadata={
"source": file.url,
"title": file.name,
"size": getattr(file, "size", None),
},
)
for file in files
if file.status == "indexed"
]
return docs
def load(self) -> List[Document]:
"""
Loads all documents from the Needle collection.
Returns:
List[Document]: A list of documents from the collection.
"""
return self._fetch_documents()
def lazy_load(self) -> Iterator[Document]:
"""
Lazily loads documents from the Needle collection.
Yields:
Iterator[Document]: An iterator over the documents.
"""
yield from self._fetch_documents()