Files
data-management/crisp/extract/crisp_extract_function.py
T
Yam ZhengLim 5b3406e816 Debug CRISP
2022-12-08 00:22:59 +08:00

71 lines
2.9 KiB
Python

from crisp_api import Crisp
import general_function
import pandas as pd
def connect_crisp(config):
try:
client = Crisp()
client.set_tier("plugin")
client.authenticate(config["identifier"], config["key"])
return client
except Exception as e:
print(e)
print("[FUNCTION_ERROR]-connect_crisp")
return False
def get_operators_csv(website_id, client, path, filename):
try:
output_location = path + filename
operators_list_json = client.website.list_website_operators(website_id)
operators_list_df = general_function.json_normalize_to_df(operators_list_json)
operators_list_df.to_csv(output_location, sep='|', encoding='utf-8-sig', header='true', quotechar= '"', index=False)
print("[Download Complete]",filename)
except Exception as e:
print(e)
print("[FUNCTION_ERROR]-get_operators_csv")
return False
def get_peoples_csv(website_id, client, path, filename):
try:
output_location = path + filename
peoples_list_df = pd.DataFrame()
peoples_data_df = pd.DataFrame()
people_subscription_status_df = pd.DataFrame()
loop_flag = True
page_number = 1
while loop_flag == True:
peoples_list_json = client.website.list_people_profiles(website_id, page_number)
temp_df = general_function.json_normalize_to_df(peoples_list_json)
peoples_list_df = pd.concat([temp_df,peoples_list_df], ignore_index=True)
if not peoples_list_json:
loop_flag = False
else:
page_number += 1
# Get marking by CustomerService Operator
for people_id in peoples_list_df.people_id:
people_data_json = client.website.get_people_data(website_id, people_id)
temp_df = general_function.json_normalize_to_df(people_data_json)
temp_df['people_id'] = people_id
peoples_data_df = pd.concat([temp_df,peoples_data_df], ignore_index=True)
peoples_list_df = peoples_list_df.merge(peoples_data_df, on='people_id', how='left')
# Get email subscription status
for people_id in peoples_list_df.people_id:
people_subscription_status_json = client.website.get_people_subscription_status(website_id, people_id)
temp_df = general_function.json_normalize_to_df(people_subscription_status_json)
temp_df['people_id'] = people_id
people_subscription_status_df = pd.concat([temp_df,people_subscription_status_df], ignore_index=True)
peoples_list_df = peoples_list_df.merge(people_subscription_status_df, on='people_id', how='left')
peoples_list_df.to_csv(output_location, sep='|', encoding='utf-8-sig', header='true', quotechar= '"', index=False)
print("[Download Complete]",filename)
except Exception as e:
print(e)
print("[FUNCTION_ERROR]-get_peoples_csv")
return False