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import csv
from typing import Iterable, Optional
from chocula.util import clean_str, clean_issn, parse_lang, parse_country
from chocula.common import DirectoryLoader
from chocula.database import DirectoryInfo, HomepageUrl
class VanishedDisapearedLoader(DirectoryLoader):
"""
Journal-level metadata from the "Vanished Journals" project. This is the
"disapeared" dataset, with many homepage URLs in wayback (web.archive.org).
CSV headers:
- Source
- If Identified by second source
- Journal Name
- ISSN
- E-ISSN
- URL
- Publisher
- blank
- Language(s)
- Country
- society_affiliation
- other_sci_affiliation
- Discipline
- Discipline Group
- Start Year
- End Year
- Last Year Online
- Actively Publishing
- Internet Archive Link
- Verified
- Comments
- The Keepers (archived)
- Archive Link
- Mikael (1 = agree with Lisa)
"""
source_slug = "vanished_disapeared"
def open_file(self) -> Iterable:
return csv.DictReader(open(self.config.vanished_disapeared.filepath))
def parse_record(self, record) -> Optional[DirectoryInfo]:
info = DirectoryInfo(
directory_slug=self.source_slug,
raw_issn=clean_issn(record["ISSN"]),
issne=clean_issn(record["E-ISSN"]),
name=clean_str(record["Journal Name"]),
publisher=clean_str(record["Publisher"]),
langs=[lang for lang in [parse_lang(record["Language(s)"])] if lang],
country=parse_country(record["Country"]),
)
homepage = HomepageUrl.from_url(record["Internet Archive Link"])
if homepage:
info.homepage_urls.append(homepage)
homepage = HomepageUrl.from_url(record["Archive Link"])
if homepage:
info.homepage_urls.append(homepage)
return info
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