mirror of
https://github.com/hwchase17/langchain
synced 2024-11-06 03:20:49 +00:00
ed58eeb9c5
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
88 lines
2.4 KiB
Python
88 lines
2.4 KiB
Python
"""Util that calls bibtexparser."""
|
|
import logging
|
|
from typing import Any, Dict, List, Mapping
|
|
|
|
from langchain_core.pydantic_v1 import BaseModel, Extra, root_validator
|
|
|
|
logger = logging.getLogger(__name__)
|
|
|
|
OPTIONAL_FIELDS = [
|
|
"annotate",
|
|
"booktitle",
|
|
"editor",
|
|
"howpublished",
|
|
"journal",
|
|
"keywords",
|
|
"note",
|
|
"organization",
|
|
"publisher",
|
|
"school",
|
|
"series",
|
|
"type",
|
|
"doi",
|
|
"issn",
|
|
"isbn",
|
|
]
|
|
|
|
|
|
class BibtexparserWrapper(BaseModel):
|
|
"""Wrapper around bibtexparser.
|
|
|
|
To use, you should have the ``bibtexparser`` python package installed.
|
|
https://bibtexparser.readthedocs.io/en/master/
|
|
|
|
This wrapper will use bibtexparser to load a collection of references from
|
|
a bibtex file and fetch document summaries.
|
|
"""
|
|
|
|
class Config:
|
|
"""Configuration for this pydantic object."""
|
|
|
|
extra = Extra.forbid
|
|
|
|
@root_validator()
|
|
def validate_environment(cls, values: Dict) -> Dict:
|
|
"""Validate that the python package exists in environment."""
|
|
try:
|
|
import bibtexparser # noqa
|
|
except ImportError:
|
|
raise ImportError(
|
|
"Could not import bibtexparser python package. "
|
|
"Please install it with `pip install bibtexparser`."
|
|
)
|
|
|
|
return values
|
|
|
|
def load_bibtex_entries(self, path: str) -> List[Dict[str, Any]]:
|
|
"""Load bibtex entries from the bibtex file at the given path."""
|
|
import bibtexparser
|
|
|
|
with open(path) as file:
|
|
entries = bibtexparser.load(file).entries
|
|
return entries
|
|
|
|
def get_metadata(
|
|
self, entry: Mapping[str, Any], load_extra: bool = False
|
|
) -> Dict[str, Any]:
|
|
"""Get metadata for the given entry."""
|
|
publication = entry.get("journal") or entry.get("booktitle")
|
|
if "url" in entry:
|
|
url = entry["url"]
|
|
elif "doi" in entry:
|
|
url = f'https://doi.org/{entry["doi"]}'
|
|
else:
|
|
url = None
|
|
meta = {
|
|
"id": entry.get("ID"),
|
|
"published_year": entry.get("year"),
|
|
"title": entry.get("title"),
|
|
"publication": publication,
|
|
"authors": entry.get("author"),
|
|
"abstract": entry.get("abstract"),
|
|
"url": url,
|
|
}
|
|
if load_extra:
|
|
for field in OPTIONAL_FIELDS:
|
|
meta[field] = entry.get(field)
|
|
return {k: v for k, v in meta.items() if v is not None}
|