Source code for habanero.crossref.crossref

import sys
import requests
from ..request import request
from ..request_class import Request
from ..habanero_utils import sub_str,check_kwargs
from .filters import filter_details

[docs]class Crossref(object): ''' Crossref: Class for Crossref search API methods | | **Includes methods matching Crossref API routes** * /works - :func:`~habanero.Crossref.works` * /members - :func:`~habanero.Crossref.members` * /prefixes - :func:`~habanero.Crossref.prefixes` * /funders - :func:`~habanero.Crossref.funders` * /journals - :func:`~habanero.Crossref.journals` * /types - :func:`~habanero.Crossref.types` * /licenses - :func:`~habanero.Crossref.licenses` Also: * registration_agency - :func:`~habanero.Crossref.registration_agency` * random_dois - :func:`~habanero.Crossref.random_dois` **What am I actually searching when using the Crossref search API?** You are using the Crossref search API described at https://github.com/CrossRef/rest-api-doc/blob/master/rest_api.md. When you search with query terms, on Crossref servers they are not searching full text, or even abstracts of articles, but only what is available in the data that is returned to you. That is, they search article titles, authors, etc. For some discussion on this, see https://github.com/CrossRef/rest-api-doc/issues/101 **The Polite Pool** As of September 18th 2017 any API queries that use HTTPS and have appropriate contact information will be directed to a special pool of API machines that are reserved for polite users. If you connect to the Crossreef API using HTTPS and provide contact information, then they will send you to a separate pool of machines, with better control the performance of these machines because they can block abusive users. We have been using `https` in `habanero` for a while now, so that's good to go. To get into the Polite Pool, also set your mailto email address when you instantiate the `Crossref` object. See examples below. **Doing setup**:: from habanero import Crossref cr = Crossref() # set a different base url Crossref(base_url = "http://some.other.url") # set an api key Crossref(api_key = "123456") # set a mailto address Crossref(mailto = "foo@bar.com") .. _RateLimits: **Rate limits** See the headers `X-Rate-Limit-Limit` and `X-Rate-Limit-Interval` for current rate limits. As of this writing the limit is 50 requests per second, but that could change. In addiiton, it's not clear what the time is to reset. See below for getting header info for your requests. .. _CurlOpts: **Verbose curl output**:: import requests import logging import httplib as http_client http_client.HTTPConnection.debuglevel = 1 logging.basicConfig() logging.getLogger().setLevel(logging.DEBUG) requests_log = logging.getLogger("requests.packages.urllib3") requests_log.setLevel(logging.DEBUG) requests_log.propagate = True import requests import logging logging.getLogger().setLevel(logging.DEBUG) requests_log = logging.getLogger("requests.packages.urllib3") requests_log.setLevel(logging.DEBUG) requests_log.propagate = True from habanero import Crossref cr = Crossref() cr.works(query = "ecology") .. _FieldQueries: **Field queries** One or more field queries. Field queries are searches on specific fields. For example, using `query_title` searches titles instead of full search across all fields as would happen by default. Acceptable set of field query parameters are: * `query_title` - Query title and subtitle * `query_container_title` - Query container-title aka. publication name * `query_author` - Query author first and given names * `query_editor` - Query editor first and given names * `query_chair` - Query chair first and given names * `query_translator` - Query translator first and given names * `query_contributor` - Query author, editor, chair and translator first and given names * `query_bibliographic` - Query bibliographic infomration, useful for citation look up. Includes titles, authors, ISSNs and publication years * `query_affiliation` - Query contributor affiliations .. _sorting: **Sort options** * `score` or `relevance` - Sort by relevance score * `updated` - Sort by date of most recent change to metadata. Currently the same as deposited. * `deposited` - Sort by time of most recent deposit * `indexed` - Sort by time of most recent index * `published` - Sort by publication date * `published-print` - Sort by print publication date * `published-online` - Sort by online publication date * `issued` - Sort by issued date (earliest known publication date) * `is-referenced-by-count` - Sort by number of references to documents * `references-count` - Sort by number of references made by documents .. _Facets: **Facet count options** * `affiliation` - Author affiliation. Allowed value: * * `year` - Earliest year of publication, synonym for published. Allowed value: * * `funder-name` - Funder literal name as deposited alongside DOIs. Allowed value: * * `funder-doi` - Funder DOI. Allowed value: * * `orcid` - Contributor ORCID. Max value: 100 * `container-title` - Work container title, such as journal title, or book title. Max value: 100 * `assertion` - Custom Crossmark assertion name. Allowed value: * * `archive` - Archive location. Allowed value: * * `update-type` - Significant update type. Allowed value: * * `issn` - Journal ISSN (any - print, electronic, link). Max value: 100 * `published` - Earliest year of publication. Allowed value: * * `type-name` - Work type name, such as journal-article or book-chapter. Allowed value: * * `license` - License URI of work. Allowed value: * * `category-name` - Category name of work. Allowed value: * * `relation-type` - Relation type described by work or described by another work with work as object. Allowed value: * * `assertion-group` - Custom Crossmark assertion group name. Allowed value: * | | | ''' def __init__(self, base_url = "https://api.crossref.org", api_key = None, mailto = None): self.base_url = base_url self.api_key = api_key self.mailto = mailto def __repr__(self): return """< %s \nURL: %s\nKEY: %s\nMAILTO: %s\n>""" % (type(self).__name__, self.base_url, sub_str(self.api_key), self.mailto)
[docs] def works(self, ids = None, query = None, filter = None, offset = None, limit = None, sample = None, sort = None, order = None, facet = None, select = None, cursor = None, cursor_max = 5000, **kwargs): ''' Search Crossref works :param ids: [Array] DOIs (digital object identifier) or other identifiers :param query: [String] A query string :param filter: [Hash] Filter options. See examples for usage. Accepts a dict, with filter names and their values. For repeating filter names pass in a list of the values to that filter name, e.g., `{'award_funder': ['10.13039/100004440', '10.13039/100000861']}`. See https://github.com/CrossRef/rest-api-doc#filter-names for filter names and their descriptions and :func:`~habanero.Crossref.filter_names` and :func:`~habanero.Crossref.filter_details` :param offset: [Fixnum] Number of record to start at, from 1 to 10000 :param limit: [Fixnum] Number of results to return. Not relavant when searching with specific dois. Default: 20. Max: 1000 :param sample: [Fixnum] Number of random results to return. when you use the sample parameter, the limit and offset parameters are ignored. Max: 100 :param sort: [String] Field to sort on. Note: If the API call includes a query, then the sort order will be by the relevance score. If no query is included, then the sort order will be by DOI update date. See sorting_ for possible values. :param order: [String] Sort order, one of 'asc' or 'desc' :param facet: [Boolean/String] Set to `true` to include facet results (default: false). Optionally, pass a query string, e.g., `facet=type-name:*` or `facet=license=*`. See Facets_ for options. :param select: [String/list(Strings)] Crossref metadata records can be quite large. Sometimes you just want a few elements from the schema. You can "select" a subset of elements to return. This can make your API calls much more efficient. Not clear yet which fields are allowed here. :param cursor: [String] Cursor character string to do deep paging. Default is None. Pass in '*' to start deep paging. Any combination of query, filters and facets may be used with deep paging cursors. While rows may be specified along with cursor, offset and sample cannot be used. See https://github.com/CrossRef/rest-api-doc/blob/master/rest_api.md#deep-paging-with-cursors :param cursor_max: [Fixnum] Max records to retrieve. Only used when cursor param used. Because deep paging can result in continuous requests until all are retrieved, use this parameter to set a maximum number of records. Of course, if there are less records found than this value, you will get only those found. :param kwargs: additional named arguments passed on to `requests.get`, e.g., field queries (see examples and FieldQueries_) :return: A dict Usage:: from habanero import Crossref cr = Crossref() cr.works() cr.works(ids = '10.1371/journal.pone.0033693') dois = ['10.1371/journal.pone.0033693', ] cr.works(ids = dois) x = cr.works(query = "ecology") x['status'] x['message-type'] x['message-version'] x['message'] x['message']['total-results'] x['message']['items-per-page'] x['message']['query'] x['message']['items'] # Get full text links x = cr.works(filter = {'has_full_text': True}) x # Parse output to various data pieces x = cr.works(filter = {'has_full_text': True}) ## get doi for each item [ z['DOI'] for z in x['message']['items'] ] ## get doi and url for each item [ {"doi": z['DOI'], "url": z['URL']} for z in x['message']['items'] ] ### print every doi for i in x['message']['items']: print i['DOI'] # filters - pass in as a dict ## see https://github.com/CrossRef/rest-api-doc#filter-names cr.works(filter = {'has_full_text': True}) cr.works(filter = {'has_funder': True, 'has_full_text': True}) cr.works(filter = {'award_number': 'CBET-0756451', 'award_funder': '10.13039/100000001'}) ## to repeat a filter name, pass in a list x = cr.works(filter = {'award_funder': ['10.13039/100004440', '10.13039/100000861']}, limit = 100) map(lambda z:z['funder'][0]['DOI'], x['message']['items']) # Deep paging, using the cursor parameter ## this search should lead to only ~215 results cr.works(query = "widget", cursor = "*", cursor_max = 100) ## this search should lead to only ~2500 results, in chunks of 500 res = cr.works(query = "octopus", cursor = "*", limit = 500) sum([ len(z['message']['items']) for z in res ]) ## about 167 results res = cr.works(query = "extravagant", cursor = "*", limit = 50, cursor_max = 500) sum([ len(z['message']['items']) for z in res ]) ## cursor_max to get back only a maximum set of results res = cr.works(query = "widget", cursor = "*", cursor_max = 100) sum([ len(z['message']['items']) for z in res ]) ## cursor_max - especially useful when a request could be very large ### e.g., "ecology" results in ~275K records, lets max at 10,000 ### with 1000 at a time res = cr.works(query = "ecology", cursor = "*", cursor_max = 10000, limit = 1000) sum([ len(z['message']['items']) for z in res ]) items = [ z['message']['items'] for z in res ] items = [ item for sublist in items for item in sublist ] [ z['DOI'] for z in items ][0:50] # field queries res = cr.works(query = "ecology", query_author = 'carl boettiger') [ x['author'][0]['family'] for x in res['message']['items'] ] # select certain fields to return ## as a comma separated string cr.works(query = "ecology", select = "DOI,title") ## or as a list cr.works(query = "ecology", select = ["DOI","title"]) ''' if ids.__class__.__name__ != 'NoneType': return request(self.mailto, self.base_url, "/works/", ids, query, filter, offset, limit, sample, sort, order, facet, select, None, None, None, None, **kwargs) else: return Request(self.mailto, self.base_url, "/works/", query, filter, offset, limit, sample, sort, order, facet, select, cursor, cursor_max, None, **kwargs).do_request()
[docs] def members(self, ids = None, query = None, filter = None, offset = None, limit = None, sample = None, sort = None, order = None, facet = None, works = False, select = None, cursor = None, cursor_max = 5000, **kwargs): ''' Search Crossref members :param ids: [Array] DOIs (digital object identifier) or other identifiers :param query: [String] A query string :param filter: [Hash] Filter options. See examples for usage. Accepts a dict, with filter names and their values. For repeating filter names pass in a list of the values to that filter name, e.g., `{'award_funder': ['10.13039/100004440', '10.13039/100000861']}`. See https://github.com/CrossRef/rest-api-doc#filter-names for filter names and their descriptions and :func:`~habanero.Crossref.filter_names` and :func:`~habanero.Crossref.filter_details` :param offset: [Fixnum] Number of record to start at, from 1 to 10000 :param limit: [Fixnum] Number of results to return. Not relavant when searching with specific dois. Default: 20. Max: 1000 :param sample: [Fixnum] Number of random results to return. when you use the sample parameter, the limit and offset parameters are ignored. This parameter only used when works requested. Max: 100 :param sort: [String] Field to sort on. Note: If the API call includes a query, then the sort order will be by the relevance score. If no query is included, then the sort order will be by DOI update date. See sorting_ for possible values. :param order: [String] Sort order, one of 'asc' or 'desc' :param facet: [Boolean/String] Set to `true` to include facet results (default: false). Optionally, pass a query string, e.g., `facet=type-name:*` or `facet=license=*` See Facets_ for options. :param select: [String/list(Strings)] Crossref metadata records can be quite large. Sometimes you just want a few elements from the schema. You can "select" a subset of elements to return. This can make your API calls much more efficient. Not clear yet which fields are allowed here. :param works: [Boolean] If true, works returned as well. Default: false :param kwargs: additional named arguments passed on to `requests.get`, e.g., field queries (see examples and FieldQueries_) :return: A dict Usage:: from habanero import Crossref cr = Crossref() cr.members(ids = 98) # get works res = cr.members(ids = 98, works = True, limit = 3) len(res['message']['items']) [ z['DOI'] for z in res['message']['items'] ] # cursor - deep paging res = cr.members(ids = 98, works = True, cursor = "*") sum([ len(z['message']['items']) for z in res ]) items = [ z['message']['items'] for z in res ] items = [ item for sublist in items for item in sublist ] [ z['DOI'] for z in items ][0:50] # field queries res = cr.members(ids = 98, works = True, query_author = 'carl boettiger', limit = 7) [ x['author'][0]['family'] for x in res['message']['items'] ] ''' return request(self.mailto, self.base_url, "/members/", ids, query, filter, offset, limit, sample, sort, order, facet, select, works, cursor, cursor_max, **kwargs)
[docs] def prefixes(self, ids = None, filter = None, offset = None, limit = None, sample = None, sort = None, order = None, facet = None, works = False, select = None, cursor = None, cursor_max = 5000, **kwargs): ''' Search Crossref prefixes :param ids: [Array] DOIs (digital object identifier) or other identifiers :param filter: [Hash] Filter options. See examples for usage. Accepts a dict, with filter names and their values. For repeating filter names pass in a list of the values to that filter name, e.g., `{'award_funder': ['10.13039/100004440', '10.13039/100000861']}`. See https://github.com/CrossRef/rest-api-doc#filter-names for filter names and their descriptions and :func:`~habanero.Crossref.filter_names` and :func:`~habanero.Crossref.filter_details` :param offset: [Fixnum] Number of record to start at, from 1 to 10000 :param limit: [Fixnum] Number of results to return. Not relavant when searching with specific dois. Default: 20. Max: 1000 :param sample: [Fixnum] Number of random results to return. when you use the sample parameter, the limit and offset parameters are ignored. This parameter only used when works requested. Max: 100 :param sort: [String] Field to sort on. Note: If the API call includes a query, then the sort order will be by the relevance score. If no query is included, then the sort order will be by DOI update date. See sorting_ for possible values. :param order: [String] Sort order, one of 'asc' or 'desc' :param facet: [Boolean/String] Set to `true` to include facet results (default: false). Optionally, pass a query string, e.g., `facet=type-name:*` or `facet=license=*` See Facets_ for options. :param select: [String/list(Strings)] Crossref metadata records can be quite large. Sometimes you just want a few elements from the schema. You can "select" a subset of elements to return. This can make your API calls much more efficient. Not clear yet which fields are allowed here. :param works: [Boolean] If true, works returned as well. Default: false :param kwargs: additional named arguments passed on to `requests.get`, e.g., field queries (see examples and FieldQueries_) :return: A dict Usage:: from habanero import Crossref cr = Crossref() cr.prefixes(ids = "10.1016") cr.prefixes(ids = ['10.1016','10.1371','10.1023','10.4176','10.1093']) # get works cr.prefixes(ids = "10.1016", works = True) # Limit number of results cr.prefixes(ids = "10.1016", works = True, limit = 3) # Sort and order cr.prefixes(ids = "10.1016", works = True, sort = "relevance", order = "asc") # cursor - deep paging res = cr.prefixes(ids = "10.1016", works = True, cursor = "*", limit = 200) sum([ len(z['message']['items']) for z in res ]) items = [ z['message']['items'] for z in res ] items = [ item for sublist in items for item in sublist ] [ z['DOI'] for z in items ][0:50] # field queries res = cr.prefixes(ids = "10.1371", works = True, query_editor = 'cooper', filter = {'type': 'journal-article'}) eds = [ x.get('editor') for x in res['message']['items'] ] [ z for z in eds if z is not None ] ''' check_kwargs(["query"], kwargs) return request(self.mailto, self.base_url, "/prefixes/", ids, query = None, filter = filter, offset = offset, limit = limit, sample = sample, sort = sort, order = order, facet = facet, select = select, works = works, cursor = cursor, cursor_max = cursor_max, **kwargs)
[docs] def funders(self, ids = None, query = None, filter = None, offset = None, limit = None, sample = None, sort = None, order = None, facet = None, works = False, select = None, cursor = None, cursor_max = 5000, **kwargs): ''' Search Crossref funders Note that funders without IDs don't show up on the `/funders` route, that is, won't show up in searches via this method :param ids: [Array] DOIs (digital object identifier) or other identifiers :param query: [String] A query string :param filter: [Hash] Filter options. See examples for usage. Accepts a dict, with filter names and their values. For repeating filter names pass in a list of the values to that filter name, e.g., `{'award_funder': ['10.13039/100004440', '10.13039/100000861']}`. See https://github.com/CrossRef/rest-api-doc#filter-names for filter names and their descriptions and :func:`~habanero.Crossref.filter_names` and :func:`~habanero.Crossref.filter_details` :param offset: [Fixnum] Number of record to start at, from 1 to 10000 :param limit: [Fixnum] Number of results to return. Not relavant when searching with specific dois. Default: 20. Max: 1000 :param sample: [Fixnum] Number of random results to return. when you use the sample parameter, the limit and offset parameters are ignored. This parameter only used when works requested. Max: 100 :param sort: [String] Field to sort on. Note: If the API call includes a query, then the sort order will be by the relevance score. If no query is included, then the sort order will be by DOI update date. See sorting_ for possible values. :param order: [String] Sort order, one of 'asc' or 'desc' :param facet: [Boolean/String] Set to `true` to include facet results (default: false). Optionally, pass a query string, e.g., `facet=type-name:*` or `facet=license=*` See Facets_ for options. :param select: [String/list(Strings)] Crossref metadata records can be quite large. Sometimes you just want a few elements from the schema. You can "select" a subset of elements to return. This can make your API calls much more efficient. Not clear yet which fields are allowed here. :param works: [Boolean] If true, works returned as well. Default: false :param kwargs: additional named arguments passed on to `requests.get`, e.g., field queries (see examples and FieldQueries_) :return: A dict Usage:: from habanero import Crossref cr = Crossref() cr.funders(ids = '10.13039/100000001') cr.funders(query = "NSF") # get works cr.funders(ids = '10.13039/100000001', works = True) # cursor - deep paging res = cr.funders(ids = '10.13039/100000001', works = True, cursor = "*", limit = 200) sum([ len(z['message']['items']) for z in res ]) items = [ z['message']['items'] for z in res ] items = [ item for sublist in items for item in sublist ] [ z['DOI'] for z in items ][0:50] # field queries res = cr.funders(ids = "10.13039/100000001", works = True, query_container_title = 'engineering', filter = {'type': 'journal-article'}) eds = [ x.get('editor') for x in res['message']['items'] ] [ z for z in eds if z is not None ] ''' return request(self.mailto, self.base_url, "/funders/", ids, query, filter, offset, limit, sample, sort, order, facet, select, works, cursor, cursor_max, **kwargs)
[docs] def journals(self, ids = None, query = None, filter = None, offset = None, limit = None, sample = None, sort = None, order = None, facet = None, works = False, select = None, cursor = None, cursor_max = 5000, **kwargs): ''' Search Crossref journals :param ids: [Array] DOIs (digital object identifier) or other identifiers :param query: [String] A query string :param filter: [Hash] Filter options. See examples for usage. Accepts a dict, with filter names and their values. For repeating filter names pass in a list of the values to that filter name, e.g., `{'award_funder': ['10.13039/100004440', '10.13039/100000861']}`. See https://github.com/CrossRef/rest-api-doc#filter-names for filter names and their descriptions and :func:`~habanero.Crossref.filter_names` and :func:`~habanero.Crossref.filter_details` :param offset: [Fixnum] Number of record to start at, from 1 to 10000 :param limit: [Fixnum] Number of results to return. Not relavant when searching with specific dois. Default: 20. Max: 1000 :param sample: [Fixnum] Number of random results to return. when you use the sample parameter, the limit and offset parameters are ignored. This parameter only used when works requested. Max: 100 :param sort: [String] Field to sort on. Note: If the API call includes a query, then the sort order will be by the relevance score. If no query is included, then the sort order will be by DOI update date. See sorting_ for possible values. :param order: [String] Sort order, one of 'asc' or 'desc' :param facet: [Boolean/String] Set to `true` to include facet results (default: false). Optionally, pass a query string, e.g., `facet=type-name:*` or `facet=license=*`. See Facets_ for options. :param select: [String/list(Strings)] Crossref metadata records can be quite large. Sometimes you just want a few elements from the schema. You can "select" a subset of elements to return. This can make your API calls much more efficient. Not clear yet which fields are allowed here. :param works: [Boolean] If true, works returned as well. Default: false :param kwargs: additional named arguments passed on to `requests.get`, e.g., field queries (see examples and FieldQueries_) :return: A dict Usage:: from habanero import Crossref cr = Crossref() cr.journals(ids = "2167-8359") cr.journals() # pass many ids cr.journals(ids = ['1803-2427', '2326-4225']) # search cr.journals(query = "ecology") cr.journals(query = "peerj") # get works cr.journals(ids = "2167-8359", works = True) cr.journals(ids = "2167-8359", query = 'ecology', works = True, sort = 'score', order = "asc") cr.journals(ids = "2167-8359", query = 'ecology', works = True, sort = 'score', order = "desc") cr.journals(ids = "2167-8359", works = True, filter = {'from_pub_date': '2014-03-03'}) cr.journals(ids = '1803-2427', works = True) cr.journals(ids = '1803-2427', works = True, sample = 1) cr.journals(limit: 2) # cursor - deep paging res = cr.funders(ids = '10.13039/100000001', works = True, cursor = "*", limit = 200) sum([ len(z['message']['items']) for z in res ]) items = [ z['message']['items'] for z in res ] items = [ item for sublist in items for item in sublist ] [ z['DOI'] for z in items ][0:50] # field queries res = cr.journals(ids = "2167-8359", works = True, query_title = 'fish', filter = {'type': 'journal-article'}) [ x.get('title') for x in res['message']['items'] ] ''' return request(self.mailto, self.base_url, "/journals/", ids, query, filter, offset, limit, sample, sort, order, facet, select, works, cursor, cursor_max, **kwargs)
[docs] def types(self, ids = None, query = None, filter = None, offset = None, limit = None, sample = None, sort = None, order = None, facet = None, works = False, select = None, cursor = None, cursor_max = 5000, **kwargs): ''' Search Crossref types :param ids: [Array] Type identifier, e.g., journal :param query: [String] A query string :param filter: [Hash] Filter options. See examples for usage. Accepts a dict, with filter names and their values. For repeating filter names pass in a list of the values to that filter name, e.g., `{'award_funder': ['10.13039/100004440', '10.13039/100000861']}`. See https://github.com/CrossRef/rest-api-doc#filter-names for filter names and their descriptions and :func:`~habanero.Crossref.filter_names` and :func:`~habanero.Crossref.filter_details` :param offset: [Fixnum] Number of record to start at, from 1 to 10000 :param limit: [Fixnum] Number of results to return. Not relavant when searching with specific dois. Default: 20. Max: 1000 :param sample: [Fixnum] Number of random results to return. when you use the sample parameter, the limit and offset parameters are ignored. This parameter only used when works requested. Max: 100 :param sort: [String] Field to sort on. Note: If the API call includes a query, then the sort order will be by the relevance score. If no query is included, then the sort order will be by DOI update date. See sorting_ for possible values. :param order: [String] Sort order, one of 'asc' or 'desc' :param facet: [Boolean/String] Set to `true` to include facet results (default: false). Optionally, pass a query string, e.g., `facet=type-name:*` or `facet=license=*` See Facets_ for options. :param select: [String/list(Strings)] Crossref metadata records can be quite large. Sometimes you just want a few elements from the schema. You can "select" a subset of elements to return. This can make your API calls much more efficient. Not clear yet which fields are allowed here. :param works: [Boolean] If true, works returned as well. Default: false :param kwargs: additional named arguments passed on to `requests.get`, e.g., field queries (see examples and FieldQueries_) :return: A dict Usage:: from habanero import Crossref cr = Crossref() cr.types() cr.types(ids = "journal") cr.types(ids = "journal-article") cr.types(ids = "journal", works = True) # field queries res = cr.types(ids = "journal-article", works = True, query_title = 'gender', rows = 100) [ x.get('title') for x in res['message']['items'] ] ''' return request(self.mailto, self.base_url, "/types/", ids, query, filter, offset, limit, sample, sort, order, facet, select, works, cursor, cursor_max, **kwargs)
[docs] def licenses(self, query = None, offset = None, limit = None, sample = None, sort = None, order = None, facet = None, **kwargs): ''' Search Crossref licenses :param query: [String] A query string :param offset: [Fixnum] Number of record to start at, from 1 to 10000 :param limit: [Fixnum] Number of results to return. Not relavant when searching with specific dois. Default: 20. Max: 1000 :param sort: [String] Field to sort on. Note: If the API call includes a query, then the sort order will be by the relevance score. If no query is included, then the sort order will be by DOI update date. See sorting_ for possible values. :param order: [String] Sort order, one of 'asc' or 'desc' :param facet: [Boolean/String] Set to `true` to include facet results (default: false). Optionally, pass a query string, e.g., `facet=type-name:*` or `facet=license=*` See Facets_ for options. :param kwargs: additional named arguments passed on to `requests.get`, e.g., field queries (see examples and FieldQueries_) :return: A dict Usage:: from habanero import Crossref cr = Crossref() cr.licenses() cr.licenses(query = "creative") ''' check_kwargs(["ids", "filter", "works"], kwargs) res = request(self.mailto, self.base_url, "/licenses/", None, query, None, offset, limit, None, sort, order, facet, None, None, None, None, **kwargs) return res
[docs] def registration_agency(self, ids, **kwargs): ''' Determine registration agency for DOIs :param ids: [Array] DOIs (digital object identifier) or other identifiers :param kwargs: additional named arguments passed on to `requests.get`, e.g., field queries (see examples) :return: list of DOI minting agencies Usage:: from habanero import Crossref cr = Crossref() cr.registration_agency('10.1371/journal.pone.0033693') cr.registration_agency(ids = ['10.1007/12080.1874-1746','10.1007/10452.1573-5125', '10.1111/(issn)1442-9993']) ''' check_kwargs(["query", "filter", "offset", "limit", "sample", "sort", "order", "facet", "works"], kwargs) res = request(self.mailto, self.base_url, "/works/", ids, None, None, None, None, None, None, None, None, None, None, None, None, True, **kwargs) if res.__class__ != list: k = [] k.append(res) else: k = res return [ z['message']['agency']['label'] for z in k ]
[docs] def random_dois(self, sample = 10, **kwargs): ''' Get a random set of DOIs :param sample: [Fixnum] Number of random DOIs to return. Default: 10. Max: 100 :param kwargs: additional named arguments passed on to `requests.get`, e.g., field queries (see examples) :return: [Array] of DOIs Usage:: from habanero import Crossref cr = Crossref() cr.random_dois(1) cr.random_dois(10) cr.random_dois(50) cr.random_dois(100) ''' res = request(self.mailto, self.base_url, "/works/", None, None, None, None, None, sample, None, None, None, None, True, None, None, None, **kwargs) return [ z['DOI'] for z in res['message']['items'] ]
[docs] @staticmethod def filter_names(): ''' Filter names - just the names of each filter Filters are used in the Crossref search API to modify searches :return: dict Usage:: from habanero import Crossref cr = Crossref() cr.filter_names() ''' nms = list(filter_details.keys()) nms.sort() return nms
[docs] @staticmethod def filter_details(): ''' Filter details - filter names, possible values, and description Filters are used in the Crossref search API to modify searches :return: dict Usage:: from habanero import Crossref cr = Crossref() cr.filter_details() # Get descriptions for each filter x = cr.filter_details() [ z['description'] for z in x.values() ] ''' return filter_details