1dcebae2-3318-4e77-bc53-82276e293354

Committed 02 May 2025 04:45PM UTC coverage: 28.256% (-63.9%) from 92.189%

Build # 1dcebae2-3318-4e77-bc53-82276e293354

Build Type

push

circleci

Committed by

sandbergja

Commit Message

Add basic infrastructure for compiling rust code

* Add a rake compile task to compile
* Run the rake task in CI
* Run the rake task before rspec tests with the rust tag, to provide quick feedback on rust changes in TDD cycles

Run Details

2 of 7 new or added lines in 2 files covered. (28.57%)

2467 existing lines in 97 files now uncovered.

1089 of 3854 relevant lines covered (28.26%)

0.29 hits per line

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28.99

/marc_to_solr/lib/genre.rb

1	# This class is responsible for listing the
2	# genres present in a given MARC record
3	class Genre	1✔
4	SUBJECT_GENRE_VOCABULARIES = %w[sk aat lcgft rbbin rbgenr rbmscv	1✔
5	rbpap rbpri rbprov rbpub rbtyp homoit].freeze
6
7	def initialize(record)	1✔
UNCOV 8	@record = record	×
9	end
10
11	# 600/610/650/651 $v, $x filtered
12	# 655 $a, $v, $x filtered
13	def to_a	1✔
UNCOV 14	@as_array \|\|= (	×
UNCOV 15	genres_from_subfield_x + genres_from_subject_vocabularies + genres_from_subfield_v + genres_from_primary_source_mapping + genres_from_autobiography	×
16	).compact.uniq
17	end
18
19	private	1✔
20
21	attr_reader :record	1✔
22
23	def genres_from_subfield_x	1✔
UNCOV 24	Traject::MarcExtractor.cached('600\|0\|x:610\|0\|x:611\|0\|x:630\|0\|x:650\|0\|x:651\|0\|x:655\|*0\|x').collect_matching_lines(record) do \|field, spec, extractor\|	×
UNCOV 25	genre = extractor.collect_subfields(field, spec).first	×
UNCOV 26	next if genre.nil?	×
27
UNCOV 28	genre = Traject::Macros::Marc21.trim_punctuation(genre)	×
UNCOV 29	genre if likely_genre_term(genre)	×
30	end
31	end
32
33	def genres_from_subject_vocabularies	1✔
UNCOV 34	Traject::MarcExtractor.cached('650\|7\|v:655\|7\|a:655\|*7\|v').collect_matching_lines(record) do \|field, spec, extractor\|	×
UNCOV 35	should_include = field.subfields.any? do \|s_field\|	×
36	# only include heading if it is part of the vocabulary
UNCOV 37	SUBJECT_GENRE_VOCABULARIES.include?(s_field.value) if s_field.code == '2'	×
38	end
UNCOV 39	genre = extractor.collect_subfields(field, spec).first	×
UNCOV 40	next if genre.nil?	×
41
UNCOV 42	genre = Traject::Macros::Marc21.trim_punctuation(genre)	×
UNCOV 43	if genre.match?(/^\s+$/)	×
44	logger.error "#{record['001']} - Blank genre field"	×
45	next	×
UNCOV 46	elsif should_include	×
UNCOV 47	genre	×
48	end
49	end
50	end
51
52	def genres_from_subfield_v	1✔
UNCOV 53	Traject::MarcExtractor.cached('600\|0\|v:610\|0\|v:611\|0\|v:630\|0\|v:650\|0\|v:651\|0\|v:655\|0\|a:655\|0\|v').collect_matching_lines(record) do \|field, spec, extractor\|	×
UNCOV 54	genre = extractor.collect_subfields(field, spec).first	×
UNCOV 55	next if genre.nil?	×
56
UNCOV 57	genre = Traject::Macros::Marc21.trim_punctuation(genre)	×
UNCOV 58	if genre.match?(/^\s+$/)	×
59	logger.error "#{record['001']} - Blank genre field"	×
60	next	×
61	end
UNCOV 62	genre	×
63	end
64	end
65
66	def genres_from_primary_source_mapping	1✔
UNCOV 67	potential_genres = Traject::MarcExtractor.cached('600\|0\|vx:610\|0\|vx:611\|0\|vx:630\|0\|vx:650\|0\|vx:651\|0\|vx:655\|0\|a:655\|0\|vx').collect_matching_lines(record) do \|field, spec, extractor\|	×
UNCOV 68	extractor.collect_subfields(field, spec)	×
69	end
UNCOV 70	if potential_genres.any? { \|genre\| genre_term_indicates_primary_source? genre } && !literary_work?	×
UNCOV 71	['Primary sources']	×
72	else
UNCOV 73	[]	×
74	end
75	end
76
77	def genres_from_autobiography	1✔
UNCOV 78	if biography? && author_matches_subject? && !literary_work?	×
UNCOV 79	['Primary sources']	×
80	else
UNCOV 81	[]	×
82	end
83	end
84
85	def genre_term_indicates_primary_source?(genre)	1✔
UNCOV 86	normalized_genre = genre.downcase.strip.delete_suffix('.')	×
UNCOV 87	primary_source_genres.any? { \|primary_source_genre\| normalized_genre.match?(/(^\|\W)#{primary_source_genre}($\|\W)/) }	×
88	end
89
90	def biography?	1✔
UNCOV 91	potential_genres = Traject::MarcExtractor.cached('600\|0\|vx:610\|0\|vx:611\|0\|vx:630\|0\|vx:650\|0\|avx:651\|0\|vx:655\|*0\|avx').collect_matching_lines(record) do \|field, spec, extractor\|	×
UNCOV 92	extractor.collect_subfields(field, spec)	×
93	end
UNCOV 94	potential_genres.include?('Biography')	×
95	end
96
97	def author_matches_subject?	1✔
UNCOV 98	authors = Traject::MarcExtractor.cached('100abcdjq').extract(record).uniq.map { \|name\| Traject::Macros::Marc21.trim_punctuation name.downcase.strip }	×
UNCOV 99	name_subjects = Traject::MarcExtractor.cached('600abcdjq').extract(record).uniq.map { \|name\| Traject::Macros::Marc21.trim_punctuation name.downcase.strip }	×
UNCOV 100	authors.any? { \|author\| name_subjects.include? author }	×
101	end
102
103	def likely_genre_term term	1✔
UNCOV 104	genre_terms.include?(term) \|\| genre_starting_terms.any? { \|potential\| term.start_with? potential }	×
105	end
106
107	def genre_terms	1✔
108	[
UNCOV 109	'Bibliography',	×
110	'Biography',
111	'Catalogs',
112	'Catalogues raisonnes',
113	'Commentaries',
114	'Congresses',
115	'Diaries',
116	'Dictionaries',
117	'Drama',
118	'Encyclopedias',
119	'Exhibitions',
120	'Fiction',
121	'Guidebooks',
122	'In art',
123	'Indexes',
124	'Librettos',
125	'Manuscripts',
126	'Newspapers',
127	'Periodicals',
128	'Pictorial works',
129	'Poetry',
130	'Portraits',
131	'Scores',
132	'Songs and music',
133	'Sources',
134	'Statistics',
135	'Texts',
136	'Translations'
137	]
138	end
139
140	def genre_starting_terms	1✔
141	[
UNCOV 142	'Census',	×
143	'Maps',
144	'Methods',
145	'Parts',
146	'Personal narratives',
147	'Scores and parts',
148	'Study and teaching',
149	'Translations into '
150	]
151	end
152
153	def primary_source_genres	1✔
154	[
UNCOV 155	'atlases',	×
156	'charters',
157	'correspondence',
158	'diaries',
159	'documents',
160	'interview',
161	'interviews',
162	'letters',
163	'manuscripts',
164	'maps',
165	'notebooks, sketchbooks, etc',
166	'oral history',
167	'pamphlets',
168	'personal narratives',
169	'photographs',
170	'pictorial works',
171	'sources',
172	'speeches',
173	'statistics'
174	]
175	end
176
177	def literary_work?	1✔
UNCOV 178	book? && record.fields('008').any? { \|litf\| %w[1 d e f j p].include? litf.value[33] }	×
179	end
180
181	def book?	1✔
UNCOV 182	record.leader && record.leader[6..7]&.match?(/a[acdim]/)	×
183	end
184	end

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