def add_Salesforce_indices(combined_nsc):
''' Adds the Salesforce names for alumni and colleges using the student
id "YOUR UNIQUE IDENTIFIER" from NSC and using the NCES code for college.
Will use "N/A" for any alumnus/alumnae or college not found in the lookup'''
# First check whether the user would prefer to add from Salesforce API
# calls directly or via file upload
choices = [
'Grab directly from Salesforce',
'Import as CSV files (see README for details)'
]
response = tktools.get_buttons_answer(
choices,
'How would you like to get the SF IDs for alumni and colleges?')
# Once the user responds, generate a dictionary lookup for both fields
if response == choices[0]: # user selected 'Grab directly from Salesforce'
alumni_dict, college_dict = import_ids_from_salesforce()
else: # user wants to enter the info as a set of CSV files
filenames = {
'alum': [
'alumniNames.csv',
'Alumni names file (two columns: Your ID/SF ID)', 'r'
],
'coll': [
'collegeNames.csv',
'College names file (two columns: NCES ID/ SF ID)', 'r'
]
}
tktools.get_filenames(filenames)
alumni_table = tt.grab_csv_table(filenames['alum'][0])
alumni_dict = tt.create_dict(alumni_table[1:], 0, 1)
college_table = tt.grab_csv_table(filenames['coll'][0])
college_dict = tt.create_dict(college_table[1:], 0, 1)
# Now that we have a dictionary for both, generate the two new columns
college_ids = []
alumni_ids = []
for row in combined_nsc.rows():
try:
college_ids.append(college_dict[row[combined_nsc.c('NCES ID')]])
except:
college_ids.append('N/A')
try:
alumni_ids.append(alumni_dict[row[combined_nsc.c('sId')]])
except:
alumni_ids.append('N/A')
# Finally, add the new columns back to the master table
combined_nsc.add_column('College__c', college_ids)
combined_nsc.add_column('Student__c', alumni_ids)
def add_Salesforce_indices(combined_nsc):
""" Adds the Salesforce names for alumni and colleges using the student
id "YOUR UNIQUE IDENTIFIER" from NSC and using the NCES code for college.
Will use "N/A" for any alumnus/alumnae or college not found in the lookup"""
# First check whether the user would prefer to add from Salesforce API
# calls directly or via file upload
choices = ["Grab directly from Salesforce", "Import as CSV files (see README for details)"]
response = tktools.get_buttons_answer(choices, "How would you like to get the SF IDs for alumni and colleges?")
# Once the user responds, generate a dictionary lookup for both fields
if response == choices[0]: # user selected 'Grab directly from Salesforce'
alumni_dict, college_dict = import_ids_from_salesforce()
else: # user wants to enter the info as a set of CSV files
filenames = {
"alum": ["alumniNames.csv", "Alumni names file (two columns: Your ID/SF ID)", "r"],
"coll": ["collegeNames.csv", "College names file (two columns: NCES ID/ SF ID)", "r"],
}
tktools.get_filenames(filenames)
alumni_table = tt.grab_csv_table(filenames["alum"][0])
alumni_dict = tt.create_dict(alumni_table[1:], 0, 1)
college_table = tt.grab_csv_table(filenames["coll"][0])
college_dict = tt.create_dict(college_table[1:], 0, 1)
# Now that we have a dictionary for both, generate the two new columns
college_ids = []
alumni_ids = []
for row in combined_nsc.rows():
try:
college_ids.append(college_dict[row[combined_nsc.c("NCES ID")]])
except:
college_ids.append("N/A")
try:
alumni_ids.append(alumni_dict[row[combined_nsc.c("sId")]])
except:
alumni_ids.append("N/A")
# Finally, add the new columns back to the master table
combined_nsc.add_column("College__c", college_ids)
combined_nsc.add_column("Student__c", alumni_ids)
arg_dict['out'] = [args.out, out_help, 'w']
if not args.db:
if args.csv:
args.db = False
else:
args.db = tktools.get_yes_no(
'Get database info directly from Salesforce?')
if not args.out and not args.db:
arg_dict['enr'] = [args.enr, enr_help, 'r']
arg_dict['con'] = [args.con, con_help, 'r']
arg_dict['acc'] = [args.acc, acc_help, 'r']
if arg_dict:
tktools.get_filenames(arg_dict)
if 'con' in arg_dict: args.con = arg_dict['con'][0]
if 'acc' in arg_dict: args.acc = arg_dict['acc'][0]
if 'enr' in arg_dict: args.enr = arg_dict['enr'][0]
if 'out' in arg_dict: args.out = arg_dict['out'][0]
if args.summary:
by_hs = False
else:
by_hs = True
if args.db:
infiles = None
else:
infiles = (args.con, args.acc, args.enr)
main(infiles,args.out,args.hs, by_hs, args.verbose)
parser.add_argument('-deg', dest='deg', action='store', help=deg_help,
default='nsc_inputs/degreelist.csv')
out_help='Output filename (csv)'
parser.add_argument('-out', dest='out', action='store', help=out_help,
default='import_nsc_output.csv')
days_help='Number of days allowed between enrollments'
parser.add_argument('-days', dest='daysgap', type=int, help=days_help)
effdate_help='Date to use for NSC file run (MM/DD/YYYY)'
parser.add_argument('-date', dest='effdate', help=effdate_help)
args = parser.parse_args()
# The following dict format is expected by tktools.get_filenames
arg_dict = { 'nsc': [args.nsc, nsc_help, 'r'],
'sch': [args.sch, sch_help, 'r'],
'deg': [args.deg, deg_help, 'r'],
'out': [args.out, out_help, 'w'],
}
if args.nsc is None: #Assume the user needs to be queried with a window
tktools.get_filenames(arg_dict)
if args.daysgap is None:
args.daysgap=131
if args.effdate is None:
args.effdate='12/01/2014'
main( arg_dict['nsc'][0],
arg_dict['sch'][0],
arg_dict['deg'][0],
arg_dict['out'][0],
args.daysgap,
args.effdate
)
s = input('----(hit enter to close)----')