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
112 lines
3.8 KiB
Python
112 lines
3.8 KiB
Python
import logging
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import re
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from pathlib import Path
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from typing import Any, Iterator, List, Mapping, Optional
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from langchain_core.documents import Document
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from langchain_community.document_loaders.base import BaseLoader
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from langchain_community.utilities.bibtex import BibtexparserWrapper
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logger = logging.getLogger(__name__)
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class BibtexLoader(BaseLoader):
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"""Load a `bibtex` file.
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Each document represents one entry from the bibtex file.
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If a PDF file is present in the `file` bibtex field, the original PDF
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is loaded into the document text. If no such file entry is present,
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the `abstract` field is used instead.
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"""
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def __init__(
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self,
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file_path: str,
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*,
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parser: Optional[BibtexparserWrapper] = None,
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max_docs: Optional[int] = None,
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max_content_chars: Optional[int] = 4_000,
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load_extra_metadata: bool = False,
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file_pattern: str = r"[^:]+\.pdf",
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):
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"""Initialize the BibtexLoader.
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Args:
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file_path: Path to the bibtex file.
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parser: The parser to use. If None, a default parser is used.
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max_docs: Max number of associated documents to load. Use -1 means
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no limit.
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max_content_chars: Maximum number of characters to load from the PDF.
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load_extra_metadata: Whether to load extra metadata from the PDF.
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file_pattern: Regex pattern to match the file name in the bibtex.
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"""
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self.file_path = file_path
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self.parser = parser or BibtexparserWrapper()
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self.max_docs = max_docs
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self.max_content_chars = max_content_chars
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self.load_extra_metadata = load_extra_metadata
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self.file_regex = re.compile(file_pattern)
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def _load_entry(self, entry: Mapping[str, Any]) -> Optional[Document]:
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import fitz
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parent_dir = Path(self.file_path).parent
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# regex is useful for Zotero flavor bibtex files
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file_names = self.file_regex.findall(entry.get("file", ""))
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if not file_names:
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return None
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texts: List[str] = []
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for file_name in file_names:
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try:
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with fitz.open(parent_dir / file_name) as f:
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texts.extend(page.get_text() for page in f)
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except FileNotFoundError as e:
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logger.debug(e)
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content = "\n".join(texts) or entry.get("abstract", "")
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if self.max_content_chars:
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content = content[: self.max_content_chars]
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metadata = self.parser.get_metadata(entry, load_extra=self.load_extra_metadata)
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return Document(
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page_content=content,
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metadata=metadata,
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)
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def lazy_load(self) -> Iterator[Document]:
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"""Load bibtex file using bibtexparser and get the article texts plus the
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article metadata.
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See https://bibtexparser.readthedocs.io/en/master/
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Returns:
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a list of documents with the document.page_content in text format
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"""
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try:
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import fitz # noqa: F401
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except ImportError:
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raise ImportError(
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"PyMuPDF package not found, please install it with "
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"`pip install pymupdf`"
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)
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entries = self.parser.load_bibtex_entries(self.file_path)
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if self.max_docs:
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entries = entries[: self.max_docs]
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for entry in entries:
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doc = self._load_entry(entry)
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if doc:
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yield doc
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def load(self) -> List[Document]:
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"""Load bibtex file documents from the given bibtex file path.
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See https://bibtexparser.readthedocs.io/en/master/
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Args:
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file_path: the path to the bibtex file
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Returns:
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a list of documents with the document.page_content in text format
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"""
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return list(self.lazy_load())
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