delay_choice = [2,3,4,5,6,7,8] #seconds
#read_file should have NPI's in col A and provider names in col B
read_file = "cigna.csv"
write_file = "uhos.csv"
f = open(read_file, "r")
#overwrite data in write_file, create header
docob.write_header(write_file)
count = 1 #keeps count of how many providers have been scraped
for line in f:
#delay random choice from delay_choice
wait = random.choice(delay_choice)
time.sleep(wait)
#Parse read_file data
line = line.split(",")
npi = line[0]
name = line[1]
#create doctor object, update attributes, write to csv file
d = docob.Doctor(npi, name)
d.update()
d.write_csv(write_file)
#print count of providers completed
print(count)
count += 1
f.close()
f = open(read_file, "r")
count = 0
linenum = 0
#append each docotor object to a dictionary
for line in f:
if linenum < run_limit and linenum >= start_read:
dst = time.time()
#Parse read_file data
line = line.split(",")
npi = line[0]
name = line[1]
org = "NYU Langone Hospital Brooklyn"
#create doctor object, update attributes, write to dictionary
d = docob.Doctor(npi, name, org)
d.update()
doclis.append(d)
#delay response time times multiplier
print("response time: ", str(d.response_time))
response.append(d.response_time)
time.sleep(d.response_time * multiplier)
den = time.time()
#print count of providers completed
count += 1
tim.append( den - dst )
import docob
import sys
var = sys.argv
if len(var) > 1:
head = "headless"
else:
head = None
driver = docob.open_chrome(head)
d = docob.Doctor("1518953462", "Name", driver)
#d = docob.Doctor("151isfadfs8953462", "Name", driver)
d.check_in_dir()
d.update_location()
for addy in d.address_list:
print(addy)
driver.close()
import docob d = docob.Doctor(1851300875, "Jason") print(d.check_in_dir()) d.update_photo() print(d.headshot)
f = open(read_file, "r")
count = 0
linenum = 0
driver = docob.open_chrome(head)
#append each docotor object to a dictionary
for line in f:
if linenum < run_limit and linenum >= start_read:
dst = time.time()
#Parse read_file data
line = line.split(",")
npi = line[0]
name = line[1]
org = line[2]
#create doctor object, update attributes, write to dictionary
d = docob.Doctor(npi, name, org, driver)
d.update()
doclis.append(d)
#delay response time times multiplier
print("response time: ", str(d.response_time))
response.append(d.response_time)
time.sleep(d.response_time * multiplier)
den = time.time()
#print count of providers completed
count += 1
if count > 1:
tim.append(den - dst)
newtim.append(den - dst)
