file parsing using pickle in python

FileParsing.py

import pickle

class Employee():
    'Common base class for all employees'
    empCount = 0
    
    '11001,sriram,M,married,1989-09-12,30000,tl,d003'
    def __init__(self, eid, name, gender, mstatus, dob, salary, role, did):
        self.eid = eid
        self.name = name
        self.gender = gender
        self.mstatus = mstatus
        self.dob = dob
        self.salary = salary
        self.role = role
        self.did = did
        Employee.empCount += 1
        
    def displayEmployee(self):
        print ("eid : ", self.eid,", Name : ", self.name,", gender : ", self.gender,", mstatus : ", self.mstatus, "dob : ", self.dob, ", Salary: ", self.salary, ", role : ", self.role,  ", did: ", self.did)
    

"This would create first object of Employee class"
emp1 = Employee(11001,"sriram","M","married","1989-09-12",30000,"TL",1003)
"This would create second object of Employee class"
emp2 = Employee(11002,"seeta","F","married","1988-09-12",25000,"SSE",1004)
emp1.displayEmployee()
emp2.displayEmployee()
print ("Total Employee %d" % Employee.empCount)



print ('-------------------------Serialization using  pickle-----------------------------')

emps = []
fh = open('employees_input.txt','r')
elines = fh.readlines()
for ei in range(len(elines)):
    ecols = elines[ei].split(",")
    emps.insert(ei,Employee(ecols[0],ecols[1],ecols[2],ecols[3],ecols[4],ecols[5],ecols[6],ecols[7]))
    print (emps[ei].did)
    print ("eid : ", emps[ei].eid,", name : ", emps[ei].name,", gender : ", emps[ei].gender,", mstatus : ", emps[ei].mstatus, "dob : ", emps[ei].dob, ", salary: ", emps[ei].salary, ", role : ", emps[ei].role,  ", did: ", emps[ei].did)
fh.close()
    
    
    
print ('-------------------------Serialization using  pickle-----------------------------')
'emptying files'
open('employees_output.txt', 'w').close()

emp_opFile = open('employees_output.txt', 'w')
emp_opFile_wb = open('employees_output_wb.pickle', 'wb') 
for ei in range(len(emps)):
    print ("eid : ", emps[ei].eid,", name : ", emps[ei].name,", gender : ", emps[ei].gender,", mstatus : ", emps[ei].mstatus, "dob : ", emps[ei].dob, ", salary: ", emps[ei].salary, ", role : ", emps[ei].role,  ", did: ", emps[ei].did)
    empsLine = emps[ei].eid+", "+emps[ei].name+", "+emps[ei].gender+", "+emps[ei].mstatus+", "+emps[ei].dob+", "+emps[ei].salary+", "+emps[ei].role+", "+emps[ei].did
    emp_opFile.write(empsLine)
pickle.dump(emps, emp_opFile_wb)
emp_opFile.close()
emp_opFile_wb.close()



print ('-------------------------DE-serialization using  pickle-----------------------------')
deSerEmps = []
temp_pie=0;
with open("employees_output_wb.pickle", "rb") as input_file:
    for pie in pickle.load(input_file):
        emp = Employee(pie.eid,pie.name,pie.gender,pie.mstatus,pie.dob,pie.salary,pie.role,pie.did)
        print ("eid : ", emp.eid,", name : ", emp.name,", gender : ", emp.gender,", mstatus : ", emp.mstatus, "dob : ", emp.dob, ", salary: ", emp.salary, ", role : ", emp.role,  ", did: ", emp.did)
        deSerEmps.insert(temp_pie, emp)
        temp_pie = temp_pie+1
print(deSerEmps)
input_file.close()















'''
employees_input.txt

10001,sriram,M,married,1989-09-12,30000,tl,d003
10002,seeta,F,married,1989-09-12,30000,tl,d003
10003,lakshman,M,married,1986-08-28,20000,ml,d004
10004,bharatha,M,married,1986-12-01,19000,ml,d004
10005,sethrugna,M,married,1989-09-12,15000,sse,d003
10006,hanuma,M,single,1989-09-12,18000,sse,d003
10007,ahalya,F,single,1989-09-12,18000,sse,d003



NOTE ::
If the file does not exists, open(name,'r+') will fail.
You can use open(name, 'w'), which creates the file if the file does not exist, but it will truncate the existing file.
Alternatively, you can use open(name, 'a'); this will create the file if the file does not exist, but will not truncate the existing file.
'''