| """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()), |
| ]) |
|
|
