RISparser 0.4.3

Reads RIS files into dictionaries via a generator for large files

Usage

>>> import os
>>> from pprint import pprint
>>> from RISparser import readris
>>> filepath = 'tests/example_full.ris'
>>> with open(filepath, 'r') as bibliography_file:
...     entries = readris(bibliography_file)
...     for entry in entries:
...         print(entry['id'])
...         print(entry['first_authors'])
12345
['Marx, Karl', 'Lindgren, Astrid']
12345
['Marxus, Karlus', 'Lindgren, Astrid']

Example RIS entry

1.
TY  - JOUR
ID  - 12345
T1  - Title of reference
A1  - Marx, Karl
A1  - Lindgren, Astrid
A2  - Glattauer, Daniel
Y1  - 2014//
N2  - BACKGROUND: Lorem ipsum dolor sit amet, consectetuer adipiscing elit. Aenean commodo ligula eget dolor. Aenean massa. Cum sociis natoque penatibus et magnis dis parturient montes, nascetur ridiculus mus.  RESULTS: Donec quam felis, ultricies nec, pellentesque eu, pretium quis, sem. Nulla consequat massa quis enim. CONCLUSIONS: Donec pede justo, fringilla vel, aliquet nec, vulputate eget, arcu. In enim justo, rhoncus ut, imperdiet a, venenatis vitae, justo. Nullam dictum felis eu pede mollis pretium.
KW  - Pippi
KW  - Nordwind
KW  - Piraten
JF  - Lorem
JA  - lorem
VL  - 9
IS  - 3
SP  - e0815
CY  - United States
PB  - Fun Factory
PB  - Fun Factory USA
SN  - 1932-6208
M1  - 1008150341
L2  - http://example.com
ER  -

TAG_KEY_MAPPING

The most fields contain string values, but some like first_authors (A1) are parsed into lists.

Complete list of ListType tags

>>> from RISparser.config import LIST_TYPE_TAGS
>>> pprint(LIST_TYPE_TAGS)
('A1', 'A2', 'A3', 'A4', 'AU', 'KW', 'N1')

Complete default mapping

>>> from RISparser.config import TAG_KEY_MAPPING
>>> pprint(TAG_KEY_MAPPING)
{'A1': 'first_authors',
 'A2': 'secondary_authors',
 'A3': 'tertiary_authors',
 'A4': 'subsidiary_authors',
 'AB': 'abstract',
 'AD': 'author_address',
 'AN': 'accession_number',
 'AU': 'authors',
 'C1': 'custom1',
 'C2': 'custom2',
 'C3': 'custom3',
 'C4': 'custom4',
 'C5': 'custom5',
 'C6': 'custom6',
 'C7': 'custom7',
 'C8': 'custom8',
 'CA': 'caption',
 'CN': 'call_number',
 'CY': 'place_published',
 'DA': 'date',
 'DB': 'name_of_database',
 'DO': 'doi',
 'DP': 'database_provider',
 'EP': 'end_page',
 'ER': 'end_of_reference',
 'ET': 'edition',
 'ID': 'id',
 'IS': 'number',
 'J2': 'alternate_title1',
 'JA': 'alternate_title2',
 'JF': 'alternate_title3',
 'JO': 'journal_name',
 'KW': 'keywords',
 'L1': 'file_attachments1',
 'L2': 'file_attachments2',
 'L4': 'figure',
 'LA': 'language',
 'LB': 'label',
 'M1': 'note',
 'M3': 'type_of_work',
 'N1': 'notes',
 'N2': 'abstract',
 'NV': 'number_of_Volumes',
 'OP': 'original_publication',
 'PB': 'publisher',
 'PY': 'year',
 'RI': 'reviewed_item',
 'RN': 'research_notes',
 'RP': 'reprint_edition',
 'SE': 'version',
 'SN': 'issn',
 'SP': 'start_page',
 'ST': 'short_title',
 'T1': 'primary_title',
 'T2': 'secondary_title',
 'T3': 'tertiary_title',
 'TA': 'translated_author',
 'TI': 'title',
 'TT': 'translated_title',
 'TY': 'type_of_reference',
 'UK': 'unknown_tag',
 'UR': 'url',
 'VL': 'volume',
 'Y1': 'publication_year',
 'Y2': 'access_date'}

Override key mapping

The parser use a TAG_KEY_MAPPING, which one can override by calling readris() with a custom mapping.

>>> import os
>>> from RISparser import readris, TAG_KEY_MAPPING
>>> from pprint import pprint

>>> filepath = 'tests/example_full.ris'
>>> mapping = TAG_KEY_MAPPING
>>> mapping["SP"] = "pages_this_is_my_fun"
>>> with open(filepath, 'r') as bibliography_file:
...     entries = list(readris(bibliography_file, mapping=mapping))
...     pprint(sorted(entries[0].keys()))
['abstract',
 'alternate_title2',
 'alternate_title3',
 'file_attachments2',
 'first_authors',
 'id',
 'issn',
 'keywords',
 'note',
 'number',
 'pages_this_is_my_fun',
 'place_published',
 'primary_title',
 'publication_year',
 'publisher',
 'secondary_authors',
 'type_of_reference',
 'url',
 'volume']

Tests

Tests are launched via the command-line using pytest:

$ cd <path_to_the_repo>/RISparser
$ py.test