def transer_ids_from_institution():
db_ids = mongo_ids()
n = 100
fname_main = '../../data/universities_table.csv'
drop_cols = ['order', 'metrics', 'id_downloaded', 'link', 'type', 'name', 'uri']
df = pd.read_csv(fname_main)
cols = df.columns.tolist()
# df = df.set_index("Institution")
drop_cols.extend([x for x in cols if re.search(r'downloaded', x, re.I)])
drop_cols = np.unique(drop_cols)
df = df.drop(drop_cols, axis=1).rename({'id': 'scival_id', 'Institution': 'name'}, axis=1)
cols = df.columns.tolist()
for index, row in df.iloc[:5, :].iterrows():
a = row.to_dict()
print('index is ', index)
# print('row is ', row)
item = ids(**row.to_dict())
print('inserting item')
print(item)
db_ids.insert_affiliation(item)
def try_find_and_filter():
coll = mongo_ids()
a = coll.filter_children_by_name('parent_id', [{'scival_id': 508076}], 'name', 'harvard')
return a
def try_insert():
# inserting item should be a dictionary
db_ids = mongo_ids()
a = ids(name='Harvard University', country='USA', city='Cambridge')
db_ids.insert_affiliation(a)
def try_partial_input():
# if __name__ == "__main__":
db_ids = mongo_ids()
old_item = {'scival_id': 508076}
new_item = {'city': 'Change to something'}
a = ids(**old_item)
b = ids(**new_item)
db_ids.partial_insert(a, 'scopus_id', b)
def try_insert_child_ids():
db_ids = mongo_ids()
df = pd.read_excel('aaa.xlsx').rename({'Affiliation ID': 'scopus_id', 'Name': 'name'}, axis=1)
parent_aff = ids(name='Harvard University', scival_id=508076)
for index, row in df.iterrows():
db_ids.append_child_aff(parent_aff, 'scival_id', {'scopus_id': row.scopus_id})
db_ids.insert_affiliation(ids(**row))
db_ids.append_aff(ids(**row), 'scopus_id', 'parent_id', {'scival_id': parent_aff.scival_id})
def __init__(self, db_name=None, coll_name=None, address=None, port=None):
if db_name is None:
db_name = 'acknowledgements'
if coll_name is None:
coll_name = 'acks'
if address is None:
address = 'localhost'
if port is None:
port = 27017
self.client = pymongo.MongoClient(address, port)
self.db = self.client[db_name]
self.aff_acks = self.db[coll_name]
self.db_ids = mongo_ids()
def init_db_ids():
return mongo_ids()
coll = mongo_ids()
a = coll.filter_children_by_name('parent_id', [{'scival_id': 508076}], 'name', 'harvard')
return a
if __name__ == "__main__":
# def transer_table_to_db():
db_name = "ids"
coll_name = "name_ids_updated5"
db_ids = mongo_ids(db_name=db_name, coll_name=coll_name)
# n = 100
fname_main = '../data/universities_table.csv'
drop_cols = ['order', 'metrics', 'id_downloaded', 'link', 'type', 'name', 'uri']
# drop_cols = ['order', 'metrics', 'id_downloaded', 'link', 'type', 'name', 'uri', 'countryCode', 'country']
df = pd.read_csv(fname_main)
cols = df.columns.tolist()
# df = df.set_index("Institution")
drop_cols.extend([x for x in cols if re.search(r'downloaded', x, re.I)])
drop_cols = np.unique(drop_cols)
