Parse RIS files into dictionaries and providetheme via generator.
Project description
It reads RIS files and provides Python dictionaries via a generator. This works also for very larg RIS files.
Usage
>>> import os >>> from RISparser import readris >>> from pprint import pprint >>> filepath = 'tests/example_full.ris' >>> entries = readris(filepath) >>> for entry in entries: ... pprint(entry) {'abstract': '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.', 'alternate_title2': 'lorem', 'alternate_title3': 'Lorem', 'file_attachments2': 'http://example.com', 'first_authors': ['Marx, Karl', 'Lindgren, Astrid'], 'id': '12345', 'issn': '1932-6208', 'keywords': ['Pippi', 'Nordwind', 'Piraten'], 'note': '1008150341', 'number': '3', 'place_published': 'United States', 'primary_title': 'Title of reference', 'publication_year': '2014//', 'publisher': 'Fun Factory', 'secondary_authors': ['Glattauer, Daniel'], 'start_page': 'e0815', 'type_of_reference': 'JOUR', 'url': 'http://example_url.com', 'volume': '9'} {'abstract': 'BACKGROUND: Lorem dammed 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.', 'alternate_title2': 'lorem', 'alternate_title3': 'Lorem', 'file_attachments2': 'http://example2.com', 'first_authors': ['Marxus, Karlus', 'Lindgren, Astrid'], 'id': '12345', 'issn': '1732-4208', 'keywords': ['Pippi Langstrumpf', 'Nordwind', 'Piraten'], 'note': '1228150341', 'number': '3', 'place_published': 'Germany', 'primary_title': 'The title of the reference', 'publication_year': '2006//', 'publisher': 'Dark Factory', 'secondary_authors': ['Glattauer, Daniel'], 'start_page': 'e0815341', 'type_of_reference': 'JOUR', 'url': 'http://example_url.com', 'volume': '6'} >>> entries = readris(filepath) >>> entries_list = list(entries) >>> print(len(entries_list)) 2
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
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', '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', 'UR': 'url', 'VL': 'volume', 'Y1': 'publication_year', 'Y2': 'access_date'}
Override key mapping
The parser use a TAG_KEY_MAPPING, witch 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" >>> entries = list(readris(filepath, mapping=mapping)) >>> pprint(entries[0]) {'abstract': '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.', 'alternate_title2': 'lorem', 'alternate_title3': 'Lorem', 'file_attachments2': 'http://example.com', 'first_authors': ['Marx, Karl', 'Lindgren, Astrid'], 'id': '12345', 'issn': '1932-6208', 'keywords': ['Pippi', 'Nordwind', 'Piraten'], 'note': '1008150341', 'number': '3', 'pages': 'e0815', 'place_published': 'United States', 'primary_title': 'Title of reference', 'publication_year': '2014//', 'publisher': 'Fun Factory', 'secondary_authors': ['Glattauer, Daniel'], 'type_of_reference': 'JOUR', 'url': 'http://example_url.com', 'volume': '9'}
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