otherwise.
"""
__author__ = "Michael Conlon"
__copyright__ = "Copyright 2015 (c), Michael Conlon"
__license__ = "New BSD License"
__version__ = "0.01"
from vivopump import read_csv_fp, write_csv_fp, get_vivo_types, read_csv
import sys
type_data = read_csv('people_types.txt', delimiter='\t')
type_enum = {type_data[row]['vivo']: type_data[row]['short'] for row in type_data} # convert spreadsheet to dict
plan_data = read_csv('salary_plan_enum.txt', delimiter='\t')
plan_enum = {plan_data[row]['short']: plan_data[row]['vivo'] for row in plan_data} # convert spreadsheet to dict
vivo_types = get_vivo_types("?uri a uf:UFEntity . ?uri a foaf:Person .") # must match entity_sparql
data_in = read_csv_fp(sys.stdin)
data_out = {}
for row, data in data_in.items():
new_data =dict(data)
# Convert the source type to a VIVO type. The source has an HR code. Convert that to a VIVO person type URI
# using the plan_enum. Then convert that to the value to be stored in the type data. Whew.
src_type = new_data['types']
if src_type in plan_enum:
src_type = type_enum[plan_enum[src_type]]
# Prepare the types column with values from VIVO, if any
if new_data['uri'] in vivo_types:
from vivopump import read_csv_fp, write_csv_fp, get_vivo_types, get_parms, read_csv
import sys
parms = get_parms()
type_data = read_csv('person_types.txt', delimiter='\t')
type_enum = {
type_data[row]['vivo']: type_data[row]['short']
for row in type_data
} # convert spreadsheet to dict
plan_data = read_csv('salary_plan_enum.txt', delimiter='\t')
plan_enum = {
plan_data[row]['short']: plan_data[row]['vivo']
for row in plan_data
} # convert spreadsheet to dict
vivo_types = get_vivo_types("?uri a uf:UFEntity . ?uri a foaf:Person .",
parms) # must match entity_sparql
data_in = read_csv_fp(sys.stdin)
data_out = {}
for row, data in data_in.items():
new_data = dict(data)
# Convert the source type to a VIVO type. The source has an HR code. Convert that to a VIVO person type URI
# using the plan_enum. Then convert that to the value to be stored in the type data. Whew.
src_type = new_data['types']
if src_type in plan_enum:
src_type = type_enum[plan_enum[src_type]]
# Prepare the types column with values from VIVO, if any
if new_data['uri'] in vivo_types:
def test_vivo_get_types(self):
result = get_vivo_types("?uri a foaf:Person .")
self.assertTrue(len(result) > 0)
