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-rwxr-xr-xextra/journal_metadata/chocula.py94
1 files changed, 54 insertions, 40 deletions
diff --git a/extra/journal_metadata/chocula.py b/extra/journal_metadata/chocula.py
index 45357391..37d4c8b3 100755
--- a/extra/journal_metadata/chocula.py
+++ b/extra/journal_metadata/chocula.py
@@ -38,23 +38,7 @@ Future commands:
preserve_kbart --keeper SLUG
preserve_sim
-TODO:
-- KBART imports (with JSON, so only a single row per slug)
-- check that all fields actually getting imported reasonably
-- imprint/publisher distinction (publisher is big group)
-- summary table should be superset of fatcat table
-- add timestamp columns to enable updates?
-- "GOLD" importer (for scopus/WoS)
-- fatcat export (filters for changes to make, writes out as JSON)
-- homepage crawl/status script
-- update_url_status (needs re-write)
-- index -> directory
-- log out index issues (duplicate ISSN-L, etc)
-- validate against GOLD OA list
-- decide what to do with JURN... match? create missing fatcat?
-x load_fatcat
-x fatcat_stats (also add timestamp column)
-x export_url
+See TODO.md for more work-in-progress
"""
import sys, csv, json
@@ -91,6 +75,7 @@ SIM_FILE = 'data/MASTER TITLE_METADATA_LIST_20171019.converted.csv'
IA_CRAWL_FILE = 'data/journal_homepage_results.partial.tsv'
SZCZEPANSKI_FILE = 'data/Jan-Szczepanski-Open-Access-Journals-2018_0.fixed.json'
EZB_FILE = 'data/ezb_metadata.json'
+GOLD_OA_FILE = 'data/ISSN_Gold-OA_3.0.csv'
FATCAT_CONTAINER_FILE = 'data/container_export.json'
FATCAT_STATS_FILE = 'data/container_stats.json'
@@ -677,36 +662,66 @@ class ChoculaDatabase():
self.db.commit()
print(counts)
- def index_kbart(self, name, path):
- print("##### Loading KBART file for {}...".format(name))
+ def index_gold_oa(self, args):
+ path = args.input_file or GOLD_OA_FILE
+ print("##### Loading GOLD OA...")
+ # "ISSN","ISSN_L","ISSN_IN_DOAJ","ISSN_IN_ROAD","ISSN_IN_PMC","ISSN_IN_OAPC","ISSN_IN_WOS","ISSN_IN_SCOPUS","JOURNAL_IN_DOAJ","JOURNAL_IN_ROAD","JOURNAL_IN_PMC","JOURNAL_IN_OAPC","JOURNAL_IN_WOS","JOURNAL_IN_SCOPUS","TITLE","TITLE_SOURCE"
+ reader = csv.DictReader(open(path))
+ counts = Counter()
+ self.c = self.db.cursor()
+ for row in reader:
+ if not (row.get('ISSN_L') and row.get('TITLE')):
+ counts['skipped'] += 1
+ continue
+ extra = dict()
+ for ind in ('DOAJ', 'ROAD', 'PMC', 'OAPC', 'WOS', 'SCOPUS'):
+ extra['in_' + ind.lower()] = bool(int(row['JOURNAL_IN_' + ind]))
+ issnl, status = self.add_issn(
+ 'gold_oa',
+ issne=row['ISSN_L'],
+ name=row['TITLE'],
+ extra=extra,
+ )
+ counts[status] += 1
+ self.c.close()
+ self.db.commit()
+ print(counts)
+
+ def parse_kbart(self, name, path):
+ """
+ Transforms a KBART file into a dict of dicts; but basically a list of
+ JSON objects, one per journal. KBART files can have multiple rows per
+ journal (eg, different year spans), which is why this pass is needed.
+ """
+ print("##### Parsing KBART file for {}...".format(name))
#publication_title print_identifier online_identifier date_first_issue_online num_first_vol_online num_first_issue_online date_last_issue_online num_last_vol_online num_last_issue_online title_url first_author title_id embargo_info coverage_depth coverage_notes publisher_name
+ kbart_dict = dict()
raw_file = open(path, 'rb').read().decode(errors='replace')
fixed_file = ftfy.fix_text(raw_file)
reader = csv.DictReader(fixed_file.split('\n'), delimiter='\t')
counts = Counter()
- self.c = self.db.cursor()
for row in reader:
if not row['print_identifier'] and not row['online_identifier']:
counts['no-issn'] += 1
continue
- issnl, status = self.add_issn(
+ issnl, status = self.lookup_issnl(
issnp=row['print_identifier'],
issne=row['online_identifier'],
- name=row['publication_title'],
- publisher=row['publisher_name'],
- extra=extra,
)
counts[status] += 1
if not issnl:
continue
- d = self.data[issnl]
- if not 'kbart' in d:
- self.data[issnl]['kbart'] = dict()
- d = self.data[issnl]
- if not name in d['kbart']:
- self.data[issnl]['kbart'][name] = dict()
- old_spans = self.data[issnl]['kbart'].get(name, dict()).get('year_spans', [])
- kbart = dict()
+
+ info = dict(
+ title=row['publication_title'] or None,
+ publisher=row['publisher_name'] or None,
+ url=row['title_url'] or None,
+ embargo_info=row['embargo_info'] or None,
+ )
+
+ d = kbart_dict.get(issnl, info)
+
+ old_spans = d.get('year_spans', [])
if row['date_first_issue_online'] and row['date_last_issue_online']:
start = int(row['date_first_issue_online'][:4])
end = int(row['date_last_issue_online'][:4])
@@ -718,10 +733,9 @@ class ChoculaDatabase():
new_spans = [[end, start]]
else:
new_spans = [[start, end]]
- self.data[issnl]['kbart'][name]['year_spans'] = merge_spans(old_spans, new_spans)
- self.c.close()
- self.db.commit()
+ d['year_spans'] = merge_spans(old_spans, new_spans)
print(counts)
+ return kbart_dict
def index_crossref(self, args):
path = args.input_file or CROSSREF_FILE
@@ -974,11 +988,11 @@ class ChoculaDatabase():
self.load_fatcat(args)
self.load_fatcat_stats(args)
self.update_url_status(args)
- #self.load_kbart('lockss', LOCKSS_FILE)
- #self.load_kbart('clockss', CLOCKSS_FILE)
- #self.load_kbart('portico', PORTICO_FILE)
- #self.load_kbart('jstor', JSTOR_FILE)
- #self.index_sim(args)
+ #self.preserve_kbart('lockss', LOCKSS_FILE)
+ #self.preserve_kbart('clockss', CLOCKSS_FILE)
+ #self.preserve_kbart('portico', PORTICO_FILE)
+ #self.preserve_kbart('jstor', JSTOR_FILE)
+ #self.preserve_sim(args)
#self.load_homepage_crawl(IA_CRAWL_FILE)
self.summarize(args)
print("### Done with everything!")