"""Canonical Arrow schemas for every output table (single source of truth).""" from __future__ import annotations import pyarrow as pa WORKS_BASE = pa.schema([ ("work_id", pa.string()), ("doi", pa.string()), ("title", pa.string()), ("publication_date", pa.string()), ("publication_year", pa.int16()), ("publication_month", pa.int8()), ("type", pa.string()), ("primary_topic_id", pa.string()), ("primary_topic_name", pa.string()), ("primary_topic_score", pa.float32()), ("field_id", pa.string()), ("field_name", pa.string()), ("subfield_id", pa.string()), ("subfield_name", pa.string()), ("domain_id", pa.string()), ("domain_name", pa.string()), ("topic_ids", pa.list_(pa.string())), ("topic_names", pa.list_(pa.string())), ("topic_count", pa.int16()), ("author_count", pa.int32()), ("author_names", pa.list_(pa.string())), ("author_ids", pa.list_(pa.string())), ("author_orcids", pa.list_(pa.string())), ("institution_count", pa.int32()), ("institution_ids", pa.list_(pa.string())), ("institution_names", pa.list_(pa.string())), ("institution_countries", pa.list_(pa.string())), ("country_codes", pa.list_(pa.string())), ("country_count", pa.int16()), ("source_id", pa.string()), ("source_name", pa.string()), ("source_type", pa.string()), ("issn_l", pa.string()), ("issns", pa.list_(pa.string())), ("publisher", pa.string()), ("cited_by_count", pa.int32()), ("recent_citations_3y", pa.int32()), ("referenced_works_count", pa.int32()), ("referenced_work_ids", pa.list_(pa.string())), ("is_oa", pa.bool_()), ("oa_status", pa.string()), ("oa_url", pa.string()), ("license", pa.string()), ("license_id", pa.string()), ("language", pa.string()), ("abstract", pa.string()), ("has_abstract", pa.bool_()), ("is_retracted", pa.bool_()), ("is_paratext", pa.bool_()), ("fwci", pa.float32()), ("openalex_citation_percentile", pa.float32()), ("created_date", pa.string()), ("updated_date", pa.string()), ("mesh_terms", pa.list_(pa.string())), ("keywords", pa.list_(pa.string())), ]) WORKS_DERIVED = pa.schema([ ("paper_age_years", pa.float32()), ("citations_per_year", pa.float32()), ("citation_velocity", pa.float32()), ("international_collaboration", pa.bool_()), ("multi_institutional", pa.bool_()), ("publication_recency_score", pa.float32()), ("citation_percentile", pa.float32()), ("high_impact_flag", pa.bool_()), ("research_growth_score", pa.float32()), ("topic_growth_score", pa.float32()), ("emerging_topic_flag", pa.bool_()), ]) WORKS_FULL = pa.schema(list(WORKS_BASE) + list(WORKS_DERIVED)) WORK_AUTHORS = pa.schema([ ("work_id", pa.string()), ("author_id", pa.string()), ("author_name", pa.string()), ("orcid", pa.string()), ("author_position", pa.string()), ("is_corresponding", pa.bool_()), ("institution_ids", pa.list_(pa.string())), ("country_codes", pa.list_(pa.string())), ]) WORK_INSTITUTIONS = pa.schema([ ("work_id", pa.string()), ("institution_id", pa.string()), ("institution_name", pa.string()), ("country_code", pa.string()), ("institution_type", pa.string()), ]) WORK_TOPICS = pa.schema([ ("work_id", pa.string()), ("topic_id", pa.string()), ("topic_name", pa.string()), ("score", pa.float32()), ("is_primary", pa.bool_()), ("subfield_id", pa.string()), ("subfield_name", pa.string()), ("field_id", pa.string()), ("field_name", pa.string()), ("domain_id", pa.string()), ("domain_name", pa.string()), ]) CITATION_EDGES = pa.schema([ ("citing_work_id", pa.string()), ("cited_work_id", pa.string()), ("cited_in_dataset", pa.bool_()), ]) AUTHORS_DIM = pa.schema([ ("author_id", pa.string()), ("author_name", pa.string()), ("orcid", pa.string()), ("works_count", pa.int32()), ("first_year", pa.int16()), ("last_year", pa.int16()), ("total_citations", pa.int64()), ("mean_citations", pa.float32()), ("institution_ids", pa.list_(pa.string())), ("country_codes", pa.list_(pa.string())), ("primary_field_id", pa.string()), ("primary_field_name", pa.string()), ]) INSTITUTIONS_DIM = pa.schema([ ("institution_id", pa.string()), ("institution_name", pa.string()), ("country_code", pa.string()), ("works_count", pa.int32()), ("first_year", pa.int16()), ("last_year", pa.int16()), ("total_citations", pa.int64()), ("mean_citations", pa.float32()), ("primary_field_id", pa.string()), ("primary_field_name", pa.string()), ]) TOPICS_DIM = pa.schema([ ("topic_id", pa.string()), ("topic_name", pa.string()), ("subfield_id", pa.string()), ("subfield_name", pa.string()), ("field_id", pa.string()), ("field_name", pa.string()), ("domain_id", pa.string()), ("domain_name", pa.string()), ("works_count", pa.int64()), ("first_year", pa.int16()), ("last_year", pa.int16()), ("total_citations", pa.int64()), ("mean_citations", pa.float32()), ]) SOURCES_DIM = pa.schema([ ("source_id", pa.string()), ("source_name", pa.string()), ("source_type", pa.string()), ("issn_l", pa.string()), ("issns", pa.list_(pa.string())), ("publisher", pa.string()), ("is_oa", pa.bool_()), ("works_count", pa.int64()), ("total_citations", pa.int64()), ("mean_citations", pa.float32()), ]) TOPIC_YEAR_COUNTS = pa.schema([ ("topic_id", pa.string()), ("topic_name", pa.string()), ("publication_year", pa.int16()), ("works_count", pa.int64()), ]) TOPIC_GROWTH = pa.schema([ ("topic_id", pa.string()), ("topic_name", pa.string()), ("first_year", pa.int16()), ("last_year", pa.int16()), ("early_count", pa.int64()), ("late_count", pa.int64()), ("growth_ratio", pa.float32()), ("cagr", pa.float32()), ("trend_slope", pa.float32()), ("emerging_topic_flag", pa.bool_()), ]) COUNTRY_YEAR_COUNTS = pa.schema([ ("country_code", pa.string()), ("publication_year", pa.int16()), ("works_count", pa.int64()), ]) COUNTRY_COLLABORATION = pa.schema([ ("country_a", pa.string()), ("country_b", pa.string()), ("collaboration_count", pa.int64()), ]) INSTITUTION_ACTIVITY = pa.schema([ ("institution_id", pa.string()), ("institution_name", pa.string()), ("country_code", pa.string()), ("publication_year", pa.int16()), ("works_count", pa.int64()), ("total_citations", pa.int64()), ])