mirror of
https://github.com/hwchase17/langchain
synced 2024-11-02 09:40:22 +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."""
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import logging
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from typing import Any, Dict, List, Mapping
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from langchain_core.pydantic_v1 import BaseModel, Extra, root_validator
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logger = logging.getLogger(__name__)
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OPTIONAL_FIELDS = [
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"annotate",
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"booktitle",
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"editor",
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"howpublished",
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"journal",
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"keywords",
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"note",
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"organization",
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"publisher",
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"school",
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"series",
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"type",
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"doi",
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"issn",
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"isbn",
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]
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class BibtexparserWrapper(BaseModel):
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"""Wrapper around bibtexparser.
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To use, you should have the ``bibtexparser`` python package installed.
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https://bibtexparser.readthedocs.io/en/master/
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This wrapper will use bibtexparser to load a collection of references from
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a bibtex file and fetch document summaries.
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"""
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class Config:
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"""Configuration for this pydantic object."""
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extra = Extra.forbid
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@root_validator()
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def validate_environment(cls, values: Dict) -> Dict:
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"""Validate that the python package exists in environment."""
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try:
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import bibtexparser # noqa
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except ImportError:
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raise ImportError(
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"Could not import bibtexparser python package. "
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"Please install it with `pip install bibtexparser`."
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)
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return values
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def load_bibtex_entries(self, path: str) -> List[Dict[str, Any]]:
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"""Load bibtex entries from the bibtex file at the given path."""
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import bibtexparser
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with open(path) as file:
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entries = bibtexparser.load(file).entries
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return entries
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def get_metadata(
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self, entry: Mapping[str, Any], load_extra: bool = False
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) -> Dict[str, Any]:
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"""Get metadata for the given entry."""
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publication = entry.get("journal") or entry.get("booktitle")
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if "url" in entry:
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url = entry["url"]
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elif "doi" in entry:
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url = f'https://doi.org/{entry["doi"]}'
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else:
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url = None
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meta = {
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"id": entry.get("ID"),
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"published_year": entry.get("year"),
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"title": entry.get("title"),
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"publication": publication,
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"authors": entry.get("author"),
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"abstract": entry.get("abstract"),
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"url": url,
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}
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if load_extra:
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for field in OPTIONAL_FIELDS:
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meta[field] = entry.get(field)
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return {k: v for k, v in meta.items() if v is not None}
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