def get_offer_recommendations(auth,
campaign,
channel,
customer,
headers,
numberoffers,
params,
subcampaign,
userid,
info=False):
# Provide offers that form part of a campaign for particular customer.
# auth: Authentication token generated by access.Authenticate()
# campaign: The name of the campaign. (string)
# channel: The type of channel. (options: "all", "")
# customer: The id of the customer. (string)
# headers: Added headers. ()
# numberoffers: Number of offers to get. (int)
# params: Addtional parameters added in a dictionary format as a string: ('{"value_1": 300, "value_2": "entry"}')
# subcampaign: Name of the subcampaigns. (string)
# userid: The id of the user. (string)
ep = endpoints.GET_OFFER_RECOMMENDATIONS
param_dict = {
"campaign": campaign,
"channel": channel,
"customer": customer,
"headers": headers,
"numberoffers": numberoffers,
"params": params,
"subcampaign": subcampaign,
"userid": userid
}
resp = request_utils.create(auth, ep, params=param_dict, info=info)
meta = resp.json()
return meta
def get_spending_personality(auth,
campaign,
channel,
customer,
headers,
params,
subcampaign,
userid,
info=False):
# Provide spending personality scores for customers.
# auth: Authentication token generated by access.Authenticate()
# campaign: The name of the campaign. (string)
# channel: The type of channel. (options: "all", "")
# customer: The id of the customer. (string)
# headers: Added headers. ()
# params: Addtional parameters added in a dictionary format as a string: ('{"value_1": 300, "value_2": "entry"}')
# subcampaign: Name of the subcampaigns. (string)
# userid: The id of the user. (string)
ep = endpoints.GET_SPENDING_PERSONALITY
param_dict = {
"campaign": campaign,
"channel": channel,
"customer": customer,
"headers": headers,
"params": params,
"subcampaign": subcampaign,
"userid": userid
}
resp = request_utils.create(auth, ep, params=param_dict, info=info)
meta = resp.json()
return meta
def get_ip(auth, info=False):
# Get IP of server.
# auth: Authentication token generated by access.Authenticate()
ep = endpoints.GET_IP
resp = request_utils.create(auth, ep, info=info)
meta = resp.json()
return meta
def refresh(auth, headers, info=False):
# Refresh product matrix and master
# headers: Added headers. ()
ep = endpoints.REFRESH
param_dict = {"headers": headers}
resp = request_utils.create(auth, ep, params=param_dict, info=info)
meta = resp.json()
return meta
def put_gift_recommendations(auth, document, info=False):
ep = endpoints.GIFT_RECOMMENDATIONS
param_dict = {
"document": document,
}
resp = request_utils.create(auth, ep, params=param_dict, info=info)
meta = resp.json()
return meta
def put_estore_recommender_non_gsm(auth, document, info=False):
ep = endpoints.PUT_ESTORE_RECOMMENDER_NON_GSM
param_dict = {
"document": document,
}
resp = request_utils.create(auth, ep, params=param_dict, info=info)
meta = resp.json()
return meta
def model_detail(auth, model, info=False):
# Model details.
# model: Model's details to examine. Example parameter: {'mojo':'my_mojo.zip'}
ep = endpoints.GET_OFFER_RECOMMENDATIONS
param_dict = {"model": model}
resp = request_utils.create(auth, ep, params=param_dict, info=info)
meta = resp.json()
return meta
def put_just_for_u(auth, document, info=False):
ep = endpoints.PUT_JUST_FOR_U
param_dict = {
"document": document,
}
resp = request_utils.create(auth, ep, params=param_dict, info=info)
meta = resp.json()
return meta
def put_connect_u(auth, document, info=False):
ep = endpoints.PUT_CONNECT_U
param_dict = {
"document": document,
}
resp = request_utils.create(auth, ep, params=param_dict, info=info)
meta = resp.json()
return meta
def sql_cassandra(auth, sql, info=False):
ep = endpoints.SQL_CASSANDRA
param_dict = {
"sql": sql,
}
resp = request_utils.create(auth, ep, params=param_dict, info=info)
meta = resp.json()
return meta
def put_financial_wellness(auth, document, info=False):
ep = endpoints.PUT_FINANCIAL_WELLNESS
param_dict = {
"document": document,
}
resp = request_utils.create(auth, ep, params=param_dict, info=info)
meta = resp.json()
return meta
def ping(auth, message, info=False):
ep = endpoints.PING
param_dict = {
"message": message
}
resp = request_utils.create(auth, ep, params=param_dict, info=info)
meta = resp.json()
return meta
def put_behavior_recommender(auth, document, info=False):
ep = endpoints.PUT_BEHAVIOR_RECOMMENDER
param_dict = {
"document": document,
}
resp = request_utils.create(auth, ep, params=param_dict, info=info)
meta = resp.json()
return meta
def put_spending_personality(auth, document, headers, info=False):
# Update offers taken up by customers
# document: Documents to be updated. ()
# headers: Added headers. ()
ep = endpoints.PUT_SPENDING_PERSONALITY
param_dict = {"document": document, "headers": headers}
resp = request_utils.create(auth, ep, params=param_dict, info=info)
meta = resp.json()
return meta
def put_offer_recommendations(auth, document, headers, info=False):
# Update offers taken up by customers
# document: Documents to be updated. ()
# headers: Added headers. ()
ep = endpoints.PUT_OFFER_RECOMMENDATIONS
param_dict = {"document": document, "headers": headers}
resp = request_utils.create(auth, ep, params=param_dict, info=info)
meta = resp.json()
return meta
def get_document_db_list(auth, server=None, info=False):
ep = endpoints.GET_MONGO_DB_LIST
if server == None:
server = auth.get_server()
param_dict = {"server": server}
resp = request_utils.create(auth, ep, params=param_dict, info=info)
meta = resp.json()
if "data" in meta:
meta = meta["data"]
return meta
def file_database_import(auth, database, collection, file_name, info=False):
ep = endpoints.FILE_DATABASE_IMPORT
param_dict = {
"database": database,
"collection": collection,
"file": file_name
}
resp = request_utils.create(auth, ep, params=param_dict, info=info)
meta = resp.json()
return meta
def get_financial_wellness(auth, campaign, channel, customer, params, subcampaign, userid, info=False):
ep = endpoints.GET_FINANCIAL_WELLNESS
param_dict = {"campaign": campaign,
"channel": channel,
"customer":customer,
"params":params,
"subcampaign":subcampaign,
"userid":userid}
resp = request_utils.create(auth, ep, params=param_dict, info=info)
meta = resp.json()
return meta
def get_cassandra_version(auth, params, info=False):
# Cassandra database version
# auth: Authentication token generated by access.Authenticate()
# params: (string)
ep = endpoints.GET_CASSANDRA_VERSION
param_dict = {
"params": params
}
resp = request_utils.create(auth, ep, params=param_dict, info=info)
meta = resp.json()
return meta
def behavior_recommender(auth, campaign, channel, customer, params, subcampaign, userid, info=False):
ep = endpoints.BEHAVIOR_RECOMMENDER
param_dict = {"campaign": campaign,
"subcampaign":subcampaign,
"customer":customer,
"channel":channel,
"userid":userid,
"params":params}
resp = request_utils.create(auth, ep, params=param_dict, info=info)
meta = resp.json()
return meta
def matrix_to_list(auth, params, info=False):
# Create list from matrix, import csv file.
# auth: Authentication token generated by access.Authenticate()
# params: {test: true, file:'./file.csv'} (use test setting to check before update)
ep = endpoints.MATRIX_TO_LIST
param_dict = {
"params": params
}
resp = request_utils.create(auth, ep, params=param_dict, info=info)
meta = resp.json()
return meta
def list_to_matrix(auth, params, info=False):
# Create matrix from transcation list from properties file as setup in budget tracker.
# auth: Authentication token generated by access.Authenticate()
# params: {type:'csv'} or {type:'json'}
ep = endpoints.LIST_TO_MATRIX
param_dict = {
"params": params
}
resp = request_utils.create(auth, ep, params=param_dict, info=info)
meta = resp.json()
return meta
def get_spend_personality(auth, campaign, channel, customer, params, subcampaign, userid, info=False):
ep = endpoints.GET_SPEND_PERSONALITY
param_dict = {
"campaign": campaign,
"channel": channel,
"customer":customer,
"params":params,
"subcampaign":subcampaign,
"userid":userid}
resp = request_utils.create(auth, ep, params=param_dict, info=info)
meta = resp.json()
return meta
def just_for_u(auth, msisdn, payment_method, campaign_id, sub_campaign_id, channel_name, number_of_offers, user_id, params, info=False):
ep = endpoints.JUST_FOR_U
param_dict = {"msisdn": msisdn,
"payment_method": payment_method,
"campaign_id":campaign_id,
"sub_campaign_id":sub_campaign_id,
"channel_name":channel_name,
"number_of_offers":number_of_offers,
"user_id":user_id,
"params":params}
resp = request_utils.create(auth, ep, params=param_dict, info=info)
meta = resp.json()
return meta
def get_file(auth, file_name, lines, info=False):
# Obtain log file: Retrive number of lines from file.
# auth: Authentication token generated by access.Authenticate()
# file_name: file to read (str)
# lines: number of lines to read (int)
ep = endpoints.GET_FILE
param_dict = {
"file": file_name,
"lines": lines
}
resp = request_utils.create(auth, ep, params=param_dict, info=info)
meta = resp.json()
return meta
def estore_recommender_non_gsm(auth, msisdn, payment_method, campaign_id, sub_campaign_id, channel_name, number_of_offers, user_id, params, info=False):
ep = endpoints.ESTORE_RECOMMENDER_NON_GSM
param_dict = {"msisdn": msisdn,
"payment_method": payment_method,
"campaign_id":campaign_id,
"sub_campaign_id":sub_campaign_id,
"channel_name":channel_name,
"number_of_offers":number_of_offers,
"user_id":user_id,
"params":params}
resp = request_utils.create(auth, ep, params=param_dict, info=info)
meta = resp.json()
return meta
def get_cassandra(auth, sql, c_type, info=False):
# Cassandra database select
# auth: Authentication token generated by access.Authenticate()
# sql: select sql target. Default value: select release_version from system.local
# c_type: Default value: c OR r
ep = endpoints.GET_CASSANDRA
param_dict = {
"sql": sql,
"type": c_type
}
resp = request_utils.create(auth, ep, params=param_dict, info=info)
meta = resp.json()
return meta
def pull_kafka_topic(auth, message, params, info=False):
# Pull message from Kafka topic
# auth: Authentication token generated by access.Authenticate()
# message: Default value : [{}]
# params: Default value : [{"TOPIC_NAME":"ecosystem1","log":"true"}]
ep = endpoints.PULL_KAFKA_TOPIC
param_dict = {
"message": message,
"params": params
}
resp = request_utils.create(auth, ep, params=param_dict, info=info)
meta = resp.json()
return meta
def run_model_mojo(auth, detail, value, info=False):
# Perform basic prediction on model with detail: none, basic or all.
# detail: Documents to be updated. (string: "none", "basic", "all")
# value: Input parameter.
# {
# 'mojo':'model_mojo.zip',
# 'input': ['x','y'],
# 'value': ['val_x', 'val_y']
# }
ep = endpoints.RUN_MODEL_MOJO
param_dict = {"detail": detail, "value": value}
resp = request_utils.create(auth, ep, params=param_dict, info=info)
meta = resp.json()
return meta
def get_rest(auth, path, info=False):
# REST Interface:
# auth: Authentication token generated by access.Authenticate()
# path: '-noData -u user -p pass http://lo...'
# use the -noData option to indicate the use of ecosystem API.
# Define user and password for authentication with -u and -p path='-key result -u user -p pass http://lo...'
# use the -key [keyvalue] option to indicate the use of API where document is in JSON key.
ep = endpoints.GET_REST
param_dict = {
"path": path
}
resp = request_utils.create(auth, ep, params=param_dict, info=info)
meta = resp.json()
return meta
