Value too many errors to unpack expected four. I am attempting to download a file from the internet that contains a list of peoples names and start dates in order to add them to a dictionary to be able to sort through them. I am having to adapt some existing code in order to streamline the code to speed up the process. I'm aware that line 33 is my primary issue and making both sides equal will solve correct the Value too many errors issue. I didn't know if there is a better way to write line 33 or just get rid of it in favor of a different method? Thanks
#!/usr/bin/env python3
import csv
import datetime
import requests
FILE_URL="http://marga.com.ar/employees-with-date.csv"
def get_start_date():
"""Interactively get the start date to query for."""
print()
print('Getting the first start date to query for.')
print()
print('The date must be greater than Jan 1st, 2018')
year = int(input('Enter a value for the year: '))
month = int(input('Enter a value for the month: '))
day = int(input('Enter a value for the day: '))
print()
return datetime.datetime(year, month, day)
def get_file_lines(url):
"""Returns the lines contained in the file at the given URL"""
def get_file_lines(url):
#Download the file over the internet
response = requests.get(url, stream=True)
lines = []
for line in response.inter_lines():
x,y,z,a = line.decode("UTF-8")
print("{},{},{},{}".format(x,y,z,a))
lines.append(line.decode("UTF-8"))
return lines
def get_same_or_newer(start_date,data):
"""Returns the employees that started on the given date, or the closest one."""
#Genera un csv
reader = csv.reader(data[1:])
#reader = data
# We want all employees that started at the same date or the closest newer
# date. To calculate that, we go through all the data and find the
# employees that started on the smallest date that's equal or bigger than
# the given start date.
min_date = datetime.datetime.today()
min_date_employees = []
for row in reader:
row_date = datetime.datetime.strptime(row[3], '%Y-%m-%d')
# If this date is smaller than the one we're looking for,
# we skip this row
if row_date < start_date:
continue
# If this date is smaller than the current minimum,
# we pick it as the new minimum, resetting the list of
# employees at the minimal date.
if row_date < min_date:
min_date = row_date
min_date_employees = []
# If this date is smaller than the current minimum,
# we pick it as the new minimum, resetting the list of
if row_date == min_date:
min_date_employees.append("{} {}".format(row[0], row[1]))
return min_date, min_date_employees
def list_newer(start_date):
data = get_file_lines(FILE_URL)
while start_date < datetime.datetime.today():
start_date, employees = get_same_or_newer(start_date,data)
print("Started on {}: {}".format(start_date.strftime("%b %d, %Y"), employees))
# Now move the date to the next one
start_date = start_date + datetime.timedelta(days=1)
def main():
start_date = get_start_date()
list_newer(start_date)
if __name__ == "__main__":
main()
