People analytics itsm sdk is used to facilitate integrations and also code reuse
Project description
people-analytics-itsm-sdk
Interact with various ServiceNow functionality within your python application, includes the ability to perform create, read, update, and delete (CRUD) operations on existing tables, insert data into, retrieve information from and submit tickets.
Installation
# or PyPI
pip install people-analytics-itsm-sdk
Environment variables
To use people-analytics-itsm-sdk library, you need set four environment variables:
# ---DOTENV EXAMPLE---
ITSM_SERVICENOW_URL=https://service-now.com # base url of you servicenow server
ITSM_SERVICENOW_API_TOKEN= # servicenow auth token
ITSM_SERVICENOW_API_USER= # servicenow user
ITSM_SERVICENOW_API_PASSWORD= # servicenow user password
# you can choose beetwen user and password or api token to authentication
We recommended you to create a .env
file in your project root to set environment variables.
Coding in Windows OS
On coding in Windows OS, you need set the environment variables before import people-analytics-itsm-sdk library
import os
# set environment variables before import people-analytics-itsm-sdk library
os.environ["ITSM_SERVICENOW_URL"] = "https://your-service-now-base-path.com"
os.environ["ITSM_SERVICENOW_API_TOKEN"] = "Your api token"
os.environ["ITSM_SERVICENOW_API_USER"] = "your.user.email@domain.com"
os.environ["ITSM_SERVICENOW_API_PASSWORD"] = "your password"
from people_analytics_itsm_sdk.sdk import Records
Example Usage
Get data from servicenow table
To get data from servicenow table, we use Records
class.
from people_analytics_itsm_sdk.sdk import Records
# This code get all records in one servicenow table
table_name = "sys_user" # replace this with table name are you need
records = Records(table=table_name)
table_data = records.all() # all() method return all records
Querying
You can apply filters and select columns in the table using Records().query
method. For example:
from datetime import datetime, timedelta
from people_analytics_itsm_sdk.sdk import Records
table_name = "incident"
records = Records(table=table_name)
# define date interval to filter
start = datetime(1970, 1, 1)
end = datetime.now() - timedelta(days=20)
# query registers of incident with number started with 'INC0123', created between 1970-01-01 and 20 days old
records.query.field('number').starts_with('INC0123')\
.AND().field('sys_created_on').between(start, end)\
.AND().field('sys_updated_on').order_descending()
data = records.all() # return all records of query
Update tables
to create, delete and update records in a servicenow table, you can use Manager
class.
from people_analytics_itsm_sdk.sdk import Manager
table_name = "name of table you need update"
manager = Manager(table=table_name)
# create new register in table example
register_to_create = {
"field1": "value1",
"field2": "value2",
}
manager.create(data=register_to_create)
# update register in table example
register_update_sys_id = "id of register you need update"
register_data_to_update = {
"field1": "value4"
}
manager.update(sys_id=register_update_sys_id, data=register_data_to_update)
# delete register in table example
register_delete_sys_id = "id of register you need delete"
manager.delete(sys_id=register_delete_sys_id)
Submit tickets
To submit tickets, you can use ProducerServiceCatalog
class.
from people_analytics_itsm_sdk.sdk import ProducerServiceCatalog
survey_catalog_id = "id of your ticket survey in servicenow catalog"
variables = {
"question1": "value1",
"question2": "value2"
}
producer_catalog = ProducerServiceCatalog()
result = producer_catalog.store(catalog_id=survey_catalog_id, variables=variables)
Query params
field(field)
Define the field to operate
parameters: field – field (str) to operate
order_descending()
Define a order descending of field
order_ascending()
Define a order ascending of field
starts_with(starts_with)
adds new STARTSWITH condition
parameters: starts_with – field of correspondence starts with a value provided
ends_with(ends_with)
adds new ENDSWITH condition
parameters: ends_with – field of correspondence ends with a value provided
contains(contains)
adds new LIKE condition
parameters: contains – field of correspondence contains the value provided
not_contains(not_contains)
adds new NOTLIKE condition
parameters: not_contains – field of correspondence not contains the value provided
is_empty()
adds new ISEMPTY condition
is_not_empty()
adds new ISNOTEMPTY condition
equals(data)
adds new IN or EQUALS condition depending on whether a list or string had provided
parameters: data – string or list of values
raise: QueryTypeError: if the data provided are of an unexpected kind
not_equals(data)
adds a new NOT IN ou EQUALS condition depending on whether a list or string had provided
parameters: data – string or list of values
raise: QueryTypeError: if the data provided are of an unexpected kind
greater_than(greater_than)
adds a new GREATER THAN condition
parameters: greater_than – object compatible with string or datetime (naive UTC datetime or tz-aware datetime)
raise: QueryTypeError: if greater_than provided are of an unexpected kind
less_than(less_than)
adds new LESS THAN condition
parameters: less_than – object compatible with string or datetime (naive UTC datetime or tz-aware datetime)
raise: QueryTypeError: if less_than provided are of an unexpected kind
between(start, end)
adds a new BETWEEN condition
parameters: start – object compatible with integer or datetime (in the user's time zone SNOW) end – object compatible with integer or datetime (in the user's time zoneSNOW)
raise: QueryTypeError: if the initial or final arguments are of an invalid type
AND()
adds a new AND operator
OR()
adds a new OR operator
NQ()
adds a new NQ operator (new query)
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