Processing a company list in which every element is an employee list
$begingroup$
Now, there is a company list in which an element is an employee list in every company. I calculate the salary of employees in every company with a RESTful API one by one,. This is very slow, so I join 1000 elements to one list and post it to the service.
import requests
def _calculate_employee_salarices(emploices):
respone = requests.post(url, json={"input": emploices})
salarices = parse_respone(respone)
return salarices
def get_calculate_employee_salarices(company_employees_lis):
begin, step = 0, 1000
company_employee_salarices_lis =
while begin < len(company_employees_lis):
employees =
employee_num_lis =
for comp_employees in company_employees_lis[begin:(begin+step)]:
employees.extend(comp_employees)
employee_num_lis.append(len(comp_employees))
salarices = _calculate_employee_salarices(employees)
idx = 0
for num in employee_num_lis:
company_employee_salarices_lis.append(salarices[idx:(idx + num)])
idx += num
begin += step
return company_employee_salarices_lis
if __name__ == "__main__":
company_employees_lis = [["employees_id_1", "employees_id_2", "employees_id_3"], ["employees_id_4"], ["employees_id_5", "employees_id_6"]]
company_employee_salarices_lis = get_calculate_employee_salarices(company_employees_lis)
I think my code is bad, because I use a variable employee_num_lis
to remember the number of employees in every company. And there must be clean, artful and pythonic code. This code is just a sample, not what I should do.
python multithreading asynchronous
New contributor
$endgroup$
add a comment |
$begingroup$
Now, there is a company list in which an element is an employee list in every company. I calculate the salary of employees in every company with a RESTful API one by one,. This is very slow, so I join 1000 elements to one list and post it to the service.
import requests
def _calculate_employee_salarices(emploices):
respone = requests.post(url, json={"input": emploices})
salarices = parse_respone(respone)
return salarices
def get_calculate_employee_salarices(company_employees_lis):
begin, step = 0, 1000
company_employee_salarices_lis =
while begin < len(company_employees_lis):
employees =
employee_num_lis =
for comp_employees in company_employees_lis[begin:(begin+step)]:
employees.extend(comp_employees)
employee_num_lis.append(len(comp_employees))
salarices = _calculate_employee_salarices(employees)
idx = 0
for num in employee_num_lis:
company_employee_salarices_lis.append(salarices[idx:(idx + num)])
idx += num
begin += step
return company_employee_salarices_lis
if __name__ == "__main__":
company_employees_lis = [["employees_id_1", "employees_id_2", "employees_id_3"], ["employees_id_4"], ["employees_id_5", "employees_id_6"]]
company_employee_salarices_lis = get_calculate_employee_salarices(company_employees_lis)
I think my code is bad, because I use a variable employee_num_lis
to remember the number of employees in every company. And there must be clean, artful and pythonic code. This code is just a sample, not what I should do.
python multithreading asynchronous
New contributor
$endgroup$
$begingroup$
Thank you very much!
$endgroup$
– ning chen
4 mins ago
add a comment |
$begingroup$
Now, there is a company list in which an element is an employee list in every company. I calculate the salary of employees in every company with a RESTful API one by one,. This is very slow, so I join 1000 elements to one list and post it to the service.
import requests
def _calculate_employee_salarices(emploices):
respone = requests.post(url, json={"input": emploices})
salarices = parse_respone(respone)
return salarices
def get_calculate_employee_salarices(company_employees_lis):
begin, step = 0, 1000
company_employee_salarices_lis =
while begin < len(company_employees_lis):
employees =
employee_num_lis =
for comp_employees in company_employees_lis[begin:(begin+step)]:
employees.extend(comp_employees)
employee_num_lis.append(len(comp_employees))
salarices = _calculate_employee_salarices(employees)
idx = 0
for num in employee_num_lis:
company_employee_salarices_lis.append(salarices[idx:(idx + num)])
idx += num
begin += step
return company_employee_salarices_lis
if __name__ == "__main__":
company_employees_lis = [["employees_id_1", "employees_id_2", "employees_id_3"], ["employees_id_4"], ["employees_id_5", "employees_id_6"]]
company_employee_salarices_lis = get_calculate_employee_salarices(company_employees_lis)
I think my code is bad, because I use a variable employee_num_lis
to remember the number of employees in every company. And there must be clean, artful and pythonic code. This code is just a sample, not what I should do.
python multithreading asynchronous
New contributor
$endgroup$
Now, there is a company list in which an element is an employee list in every company. I calculate the salary of employees in every company with a RESTful API one by one,. This is very slow, so I join 1000 elements to one list and post it to the service.
import requests
def _calculate_employee_salarices(emploices):
respone = requests.post(url, json={"input": emploices})
salarices = parse_respone(respone)
return salarices
def get_calculate_employee_salarices(company_employees_lis):
begin, step = 0, 1000
company_employee_salarices_lis =
while begin < len(company_employees_lis):
employees =
employee_num_lis =
for comp_employees in company_employees_lis[begin:(begin+step)]:
employees.extend(comp_employees)
employee_num_lis.append(len(comp_employees))
salarices = _calculate_employee_salarices(employees)
idx = 0
for num in employee_num_lis:
company_employee_salarices_lis.append(salarices[idx:(idx + num)])
idx += num
begin += step
return company_employee_salarices_lis
if __name__ == "__main__":
company_employees_lis = [["employees_id_1", "employees_id_2", "employees_id_3"], ["employees_id_4"], ["employees_id_5", "employees_id_6"]]
company_employee_salarices_lis = get_calculate_employee_salarices(company_employees_lis)
I think my code is bad, because I use a variable employee_num_lis
to remember the number of employees in every company. And there must be clean, artful and pythonic code. This code is just a sample, not what I should do.
python multithreading asynchronous
python multithreading asynchronous
New contributor
New contributor
edited 31 mins ago
Jamal♦
30.3k11116226
30.3k11116226
New contributor
asked 1 hour ago
ning chenning chen
1
1
New contributor
New contributor
$begingroup$
Thank you very much!
$endgroup$
– ning chen
4 mins ago
add a comment |
$begingroup$
Thank you very much!
$endgroup$
– ning chen
4 mins ago
$begingroup$
Thank you very much!
$endgroup$
– ning chen
4 mins ago
$begingroup$
Thank you very much!
$endgroup$
– ning chen
4 mins ago
add a comment |
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ning chen is a new contributor. Be nice, and check out our Code of Conduct.
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$begingroup$
Thank you very much!
$endgroup$
– ning chen
4 mins ago