Source code for pybliometrics.scopus.affiliation_search

from collections import namedtuple
from typing import List, NamedTuple, Optional, Tuple, Union

from pybliometrics.scopus.superclasses import Search
from pybliometrics.scopus.utils import check_integrity, check_parameter_value,\
    check_field_consistency, make_search_summary


[docs] class AffiliationSearch(Search): @property def affiliations(self) -> Optional[List[NamedTuple]]: """A list of namedtuples storing affiliation information, where each namedtuple corresponds to one affiliation. The information in each namedtuple is `(eid name variant documents city country parent)`. All entries are `strings` or `None`. Field `variant` combines variants of names with a `";"`. Raises ------ `ValueError` If the elements provided in `integrity_fields` do not match the actual field names (listed above). """ # Initiate namedtuple with ordered list of fields fields = 'eid name variant documents city country parent' aff = namedtuple('Affiliation', fields) check_field_consistency(self._integrity, fields) # Parse elements one-by-one out = [] for item in self._json: name = item.get('affiliation-name') variants = [d.get('$', "") for d in item.get('name-variant', []) if d.get('$', "") != name] new = aff(eid=item.get('eid'), variant=";".join(variants), documents=int(item['document-count']), name=name, city=item.get('city'), country=item.get('country'), parent=item.get('parent-affiliation-id')) out.append(new) # Finalize check_integrity(out, self._integrity, self._action) return out or None def __init__(self, query: str, refresh: Union[bool, int] = False, verbose: bool = False, download: bool = True, integrity_fields: Union[List[str], Tuple[str, ...]] = None, integrity_action: str = "raise", count: int = 200, **kwds: str ) -> None: """Interaction with the Affiliation Search API. :param query: A string of the query. For allowed fields and values see https://dev.elsevier.com/sc_affil_search_tips.html. :param refresh: Whether to refresh the cached file if it exists or not. If int is passed, cached file will be refreshed if the number of days since last modification exceeds that value. :param verbose: Whether to print a download progress bar. :param download: Whether to download results (if they have not been cached). :param integrity_fields: Names of fields whose completeness should be checked. `AffiliationSearch` will perform the action specified in `integrity_action` if elements in these fields are missing. This helps avoiding idiosynchratically missing elements that should always be present (e.g. EID or name). :param integrity_action: What to do in case integrity of provided fields cannot be verified. Possible actions: - `"raise"`: Raise an AttributeError - `"warn"`: Raise a UserWarning :param count: (deprecated) The number of entries to be displayed at once. A smaller number means more queries with each query having fewer results. :param kwds: Keywords passed on as query parameters. Must contain fields and values mentioned in the API specification at https://dev.elsevier.com/documentation/AffiliationSearchAPI.wadl. Raises ------ `ScopusQueryError` If the number of search results exceeds 5000, which is the API's maximum number of results returned. The error prevents the download attempt and avoids making use of your API key. `ValueError` If any of the parameters `integrity_action` or `refresh` is not one of the allowed values. Notes ----- The directory for cached results is `{path}/STANDARD/{fname}`, where `path` is specified in your configuration file and `fname` is the md5-hashed version of `query`. """ # Check allowed = ("warn", "raise") check_parameter_value(integrity_action, allowed, "integrity_action") if count != 200: msg = "Parameter `count` is deprecated and will be removed in a "\ "future release. There will be no substitute." warn(msg, FutureWarning) # Query self._action = integrity_action self._integrity = integrity_fields or [] self._query = query self._refresh = refresh self._view = "STANDARD" Search.__init__(self, query=query, api="AffiliationSearch", count=count, download=download, verbose=verbose, **kwds) def __str__(self): """Return a summary string.""" res = [a['affiliation-name'] for a in self._json] return make_search_summary(self, "affiliation", res)