scitex_scholar.metadata_engines

class scitex_scholar.metadata_engines.ScholarEngine(engines=None, config=None, use_cache=True, clear_cache=False)[source]

Aggregates metadata from multiple engines for enrichment.

__init__(engines=None, config=None, use_cache=True, clear_cache=False)[source]

_setup_cache(clear_cache=False)[source]: Setup cache directory and files.

_get_cache_key(title=None, doi=None, **kwargs)[source]: Generate cache key for search parameters.

async search_async(title=None, doi=None, **kwargs)[source]

Search all engines and return combined results.

async search_batch_async(titles=None, dois=None)[source]

Search multiple papers in batch with parallel processing.

async _search_engine_with_timeout(engine, engine_name, title=None, doi=None, timeout=15, **kwargs)[source]: Search single engine with timeout.

_extract_identifiers(metadata)[source]

Extract all identifiers from metadata.

_identifiers_match(ids1, ids2)[source]

Check if any identifiers match between two papers.

_validate_paper_consistency(metadata_list)[source]

Check if all metadata refers to same paper by title, exact year, and first author.

_validate_against_query(metadata, query_title)[source]

Validate metadata matches the original query with strict title matching.

_combine_metadata(engine_results)[source]

Combine metadata with query validation.

_merge_metadata_structures(base, additional)[source]

Merge two metadata structures with engine priority.