Python PyPi Library for the Admin API

Overview

The Python library provides full support for Split REST Admin API. It allows you to create, delete, and edit environments, feature flags, feature flag definitions, segments, segment keys, users, groups, API keys, change requests, attributes, and identities.

For more information, see the Split Admin API for more information. The library source is available on the GitHub repository.

Using in Harness Mode

Starting with version 3.5.0, the Split API client supports operating in Harness Mode to interact with both Split and Harness APIs. This allows you to work with Harness resources like tokens, service accounts, and roles using the same client.

Deprecated Endpoints in Harness Mode

The following Split endpoints are deprecated and cannot be used in Harness Mode:

• /workspaces: POST, PATCH, DELETE, and PUT
• /apiKeys: POST for apiKeyType == 'admin'
• /users: all methods
• /groups: all methods
• /restrictions: all methods

Non-deprecated endpoints will continue to function as before.

Working with Harness Resources

Harness Mode provides access to several Harness-specific resources through dedicated microclients.

• token
• harness_apikey
• service_account
• harness_user
• harness_group
• role
• resource_group
• role_assignment
• harness_project

To work with Harness resources, initialize the Split client in Harness Mode:

client = get_client({
  'harness_mode': True,
  'harness_token': 'YOUR_HARNESS_TOKEN',
  'account_identifier': 'YOUR_ACCOUNT_ID'
})

Example schema for creating resources:

schema = {
  'name': 'string',
  'identifier': 'string',
  'email': 'string',
  'accountIdentifier': 'string',
  'description': 'string',
  'tags': {'key': 'value'}
}

Each microclient supports standard methods such as list(), get(id), create(data), update(id, data), and delete(id).

To learn about specifications for the Harness APIs, see the Harness API reference documentation. For more examples of using Harness resources, see the Python API README.

Common Microclient Methods

Most Harness microclients support the following standard methods:

• list(account_identifier=None): Lists all resources of the specified type.
• get(id, account_identifier=None): Gets a specific resource by ID.
• create(data, account_identifier=None): Creates a new resource.
• update(id, data, account_identifier=None): Updates an existing resource.
• delete(id, account_identifier=None): Deletes a resource.

tip

The account_identifier parameter can be omitted if it was set during client initialization.

Language support

The Python lib supports Python 3 (v3.3 or later).

Installation

Install the splitapiclient package using the following command:

pip install splitapiclient

Initialization and Logging

Import the client object and initializes a connection using an Admin API key:

from splitapiclient.main import get_client  
client = get_client({'apikey': 'ADMIN API KEY'})

Enable optional logging

import logging  
logging.basicConfig(level=logging.DEBUG)

Default Account Identifier

To avoid specifying the account_id with every call, set the default when creating the client:

client = get_client({
    'harness_mode': True,
    'harness_token': 'YOUR_HARNESS_TOKEN',
    'account_identifier': 'YOUR_ACCOUNT_IDENTIFIER'
})

tokens = client.token.list()  
projects = client.harness_project.list()

Handling Rate Limit

When the library receives a 429 HTTP response because of a limit rate, it waits for five seconds and then retries the HTTP request.

Objects Reference

Workspaces (now called Projects in Split UI)

Class

Workspace

schema = {
    'id': 'string',
    'name': 'string',
    'requiresTitleAndComments': 'boolean',
}

Methods

Array(Workspace) workspaces.list()

Fetches all workspaces in an account and returns an array of Workspace instances.

• Parameters: None
• Return: List of Workspace objects

for ws in client.workspaces.list():  
print ("\nWorkspace:"+ws.name+", Id: "+ws.id)

Workspace workspaces.find(workspace_name)

Finds a workspace in a given workspace name.

• Parameters: Workspace name as string
• Return: Workspace instance

ws = client.workspaces.find("Defaults")  
print ("\nWorkspace:"+ws.name+", Id: "+ws.id)

Workspace workspaces.add(data)

Adds a new workspace.

• Parameters: Data as JSON with workspace info: {'name': 'string', 'requiresTitleAndComments': boolean, 'type': 'workspace'}
• Return: Workspace instance

ws = client.workspaces.add({"requiresTitleAndComments" : True, "name" : "WS_From_API", "type" : "workspace"})  
print ("\nWorkspace:"+ws.name+", Id: "+ws.id)

Workspace update(field_name, field_value)

Updates a field in existing workspace.

• Parameters:

  • field_name as string
  • field_value as string

• Return: Workspace instance

ws = client.workspaces.find("Default")
ws2 = ws.update("requiresTitleAndComments", True)

Workspace delete()

Delete the current instance for an existing workspace and returns True if successful.

• Parameters: None
• Return: Boolean

ws = client.workspaces.find("WS_From_API")
print (ws.name)  
# If the workspace was created from the Admin API, we need to delete the traffic type that was automatically created before deleting the workspace  
for ttype in client.traffic_types.list(ws.id):  
    client.traffic_types.delete(ttype.id)  
ws.delete()

RuleBasedSegment add_rule_based_segment(segment_data, traffic_type)

Adds a new rule-based segment to a workspace.

• Parameters:

  • segment_data as dict
  • traffic_type as string

• Return: RuleBasedSegment instance

segment_data = {'name': 'advanced_users', 'description': 'Users who match advanced criteria'}
rule_segment = ws.add_rule_based_segment(segment_data, "user")
print(rule_segment.name)

Segment add_segment(data, traffic_type_name)

Adds a new segment to the Workspace instance.

• Parameters:

  • Data as JSON with segment name and description: {'name': 'string', 'description': 'string'}
  • traffic_type_name as string

• Return: Segment instance

ws = client.workspaces.find("Defaults")  
seg = ws.add_segment({'name':'new_seg', 'description':'some description'})  
print(seg.name+", "+seg.production)

Boolean delete_segment(segment_name)

Deletes an existing segment from the Workspace instance and returns True if it's successful.

• Parameters: segment_name as string
• Return: Boolean

ws = client.workspaces.find("Defaults")  
ws.delete_environment('new_seg')

LargeSegment add_large_segment(data, traffic_type_name)

Adds a new large segment to the Workspace instance.

• Parameters:

  • Data as JSON with segment name and description: {'name': 'string', 'description': 'string'}
  • traffic_type_name as string

• Return: Segment instance

ws = client.workspaces.find("Defaults")  
seg = ws.add_large_segment({'name':'new_seg', 'description':'some description'})  
print(seg.name+", "+seg.production)

Boolean delete_large_segment(segment_name)

Deletes an existing large segment from the Workspace instance and returns True if it's successful.

• Parameters: segment_name as string
• Return: Boolean

ws = client.workspaces.find("Defaults")  
ws.delete_large_segment('new_seg')

Split add_split(data, traffic_type_name)

Adds a new feature flag to the Workspace instance.

• Parameters:

  • Data as JSON with a feature flag name and production flag:

    {
        'name': 'string',
        'description': 'string',
        'owners': [{'id': 'string', 'type': 'string'}]
    }

  • traffic_type_name as string

• Return: Split instance

ws = client.workspaces.find("Defaults")  
gr = client.groups.find('Administrators')  
print(gr._id)  
user = client.users.find('bilal@split.io')  
print(user._id)  
sp = ws.add_split({'name':'new-split', 'description':'some description'},[{"id": gr._id, "type": "group"},{"id": user._id, "type": "user"}], 'user')  
print(sp.name+", "+seg.production)

Boolean delete_split(split_name)

Deletes an existing feature flag from the Workspace instance and returns True if it's successful.

• Parameters: split_name as string
• Return: Boolean

ws = client.workspaces.find("Defaults")  
ws.delete_split('new-split')

Boolean delete_rule_based_segment(segment_name)

Deletes an existing rule-based segment from the Workspace instance and returns True if it's successful.

• Parameters: segment_name as string
• Return: Boolean

ws = client.workspaces.find("Defaults")
success = ws.delete_rule_based_segment("advanced_users")

Restrictions

Class

Restriction

schema = {
    "operations" : {
        "view" : True
    },
    "resourcePermissions" : {
        "view" : [{
            "name" : "name",
            "id" : "id",
            "type" : "user"
        }]
    },
    "resource" : {
        "name" : "name",
        "id" : "id",
        "type" : "workspace"
    },
    "id" : "id",
    "type" : "restriction"
}

Methods

Array(Restriction) restrictions.list(resourceType, resourceId)

Fetches all restrictions for a given resource type and id.

• Parameters:

  • resource_type as string; for example 'workspace'
  • resource_id as string

• Return: List of Restriction objects

for ws in client.workspaces.list():  
    print (ws._name)  
    for res in client.restrictions.list("workspace", ws.id):  
        print(res._resource)  
        for rp in res._resourcePermissions["view"]:  
            print(rp)  

Restriction restrictions.add(resourceType, resourceId, data)

Adds a new restriction or overwrite the existing one to a Workspace instance.

• Parameters: Data as JSON: [{'id': 'string', 'type': 'string'}]
• Return: Restriction instance

ws = client.workspaces.find("work-02")  
# Administrator group is required for workspace permissions  
gr = client.groups.find('Administrators')  
print(gr._id)  
user = client.users.find('bilal@split.io')  
print(user._id)  
client.restrictions.add("workspace", ws.id, [{"id": gr._id, "type": "group"},{"id": user._id, "type": "user"}])  

Environments

Class

Environment

schema = {
    "creationTime" : number,
    "production": boolean,
    "dataExportPermissions" : {
        "areExportersRestricted" : boolean,
        "exporters" : [{
            "name" : "string",
            "id" : "string",
            "type" : "string"
        }]
    },
    "environmentType" : "string",
    "workspaceIds" : [ "string" ],
    "name" : "string",
"apiTokens" : [
{
"name" : "string",
"type" : "string",
"id" : "id",
"apiKeyType" : "string"
}
],
    "changePermissions" : {
        "areApproversRestricted" : False,
        "allowKills" : False,
        "areEditorsRestricted" : False,
        "areApprovalsRequired" : False,
        "approvers" : [ {
            "name" : "string",
            "id" : "string",
            "type" : "string"
        }],
        "editors" : [ {
            "name" : "string",
            "id" : "string",
            "type" : "string"
        }]
    },
    "type": "environment",
    "id" : "string",
    "orgId" : "string",
    "status" : "string"
}

Methods

Array(Environment) environments.list(workspaceId)

Fetches all environments in a workspace and returns an array of Environment instances.

• Parameters: workspace_id as string
• Return: List of environment objects

ws = client.workspaces.find("Defaults")  
for env in client.environments.list(ws.id):  
    print (env.name+", "+env.production)

Environment environments.find(environment_name, workspace_id)

Finds an environment in a workspace that is given a name.

• Parameters:

  • environment_name as string
  • workspace_id as integer

• Return: Environment instance

ws = client.workspaces.find("Defaults")  
en = client.environments.find("Production", wd.id)  
print (env.name+", "+env.production)

Environment environments.add(data, workspace_id)

Adds a new environment to the Workspace instance.

• Parameters:

  • Data as JSON with environment schema
  • workspace_id as string

• Return: Environment instance

ws = client.workspaces.find("Default")  
# Administrator group is required for environment permissions  
gr = client.groups.find('Administrators')  
print(gr._id)  
user = client.users.find('bilal@split.io')
print(user._id)  
body = {"production": True, "dataExportPermissions" : {"areExportersRestricted" : False, "exporters" : []},"environmentType" : "production","workspaceIds" : [ ws.id ],"name" : "new_env_third","changePermissions" : {"areApproversRestricted" : True,"allowKills" : False,"areEditorsRestricted" : False,"areApprovalsRequired" : True,"approvers" : [ {"id": gr._id, "type": "group", "name": gr._name},{"id": user._id, "type": "user", "name": user._name}],"editors" : []},"type": "environment",}  
env = client.environments.add(body, ws.id)
print(env.name)

Boolean environments.delete(environment_id, workspace_id)

Deletes an existing environment from the Workspace instance and returns True if successful.

• Parameters:
  • environment_id as string
  • workspace_id as string
• Return: Boolean

ws = client.workspaces.find("Defaults")  
client.environments.delete('newenv', ws.id)

Environment update(field_name, field_value)

Updates the current environment instance given filed name with the field value, this API call allows to update any field of an environment using JsonPatch.

• Parameters:
  • field_name as string
  • field_value as string
• Return: Environment JSON structure

ws = client.workspaces.find("Defaults")  
env = client.environments.find("new_env_third", ws.id)   
# Update the data exporters permissions  
gr = client.groups.find('Administrators')  
user = client.users.find('bilal@split.io')  
client.environments.update(env.id, ws.id, "dataExportPermissions", {"areExportersRestricted" : True, "exporters" : [{"id": gr._id, "type": "group", "name": gr._name},{"id": user._id, "type": "user", "name": user._name}]})  
# Enable Allow Kill option  
client.environments.update(env.id, ws.id, "changePermissions/allowKills", True)

Traffic Types

Class

TrafficType

schema = {
    'id': 'string',
    'name': 'string',
    'displayAttributeId': 'string',
}

Methods

Array(TrafficType) traffictypes.list(workspace_id)

Fetches all traffic types in a workspace and returns an array of TrafficType instances.

• Parameters: workspace_id as string
• Return: List of TrafficType objects

ws = client.workspaces.find("Defaults")  
for tp in client.traffic_types.list(ws.id):  
    print (tp.name+", "+tp.id)

TrafficType traffictypes.find(traffic_type_name, workspace_id)

Finds a traffic type in a workspace by name.

• Parameters:

  • traffic_type_name as string
  • workspace_id as string

• Return: TrafficType object

ws = client.workspaces.find("Defaults")  
tp = client.traffic_types.find('user', ws.id)  
print (tp.name+", "+tp.id)

Array(Attribute) fetch_attributes()

Fetches all attributes of the current traffic type instance.

• Parameters: None
• Return: List of Attribute objects

ws = client.workspaces.find("Defaults")  
tp = client.traffic_types.find('user', ws.id)  
for at in tp.fetch_attributes():  
    print (at.display_name)

Attribute add_attribute(data)

Adds a new attribute to the current traffic type instance.

• Parameters: Data as JSON; { "id": "string", "displayName": "string", "description": "string", "dataType": "string", "isSearchable": "boolean", "suggestedValues": ["suggested", "values"]}
• Return: Attribute object

ws = client.workspaces.find("Defaults")  
tp = client.traffic_types.find('user', ws.id)  
at = tp.add_attribute({"id": "attrib456", "displayName": "Street", "description": "St Address",  
"dataType": "STRING", "isSearchable": False, "workspaceId": ws.id, "suggestedValues": ["Meadowlark", "Mayfield"] })

Identity add_identity(data)

Adds a new identity to the current traffic type instance.

• Parameters: Data as JSON; { key: 'string', values: { 'attribute_id': 'string', … } }
• Return: Identity object

ws = client.workspaces.find("Defaults")  
tp = client.traffic_types.find('user', ws.id)  
env = client.environments.find("Production", wd.id)  
at = tp.add_identity({'key': 'user120','values': {'attrib456': 'PM'}, 'environmentId': env.id)}

Identity add_identities(data)

Adds a new identities list to current traffic type instance and returns a tuple with successful and failed items. Successful items are Identity objects. Failed items will contain the Identity object for the failed item together with a status code and a message.

• Parameters: Data as JSON; [{ key: 'string', values: { 'attribute_id': 'string', … } }]
• Return: Tuple

ws = client.workspaces.find("Defaults")  
tp = client.traffic_types.find('user', ws.id)  
env = client.environments.find("Production", wd.id)  
at = tp.add_identities([{'key': 'user120','values': {'attrib456': 'PM'}, 'ecnvironmentId': env.id)},{'key': 'testing554','values': {'attrib123': 'CEO'}, 'environmentId': env.id)}])

import_attributes_from_json function

Imports attributes directly from a JSON array of objects.

• Parameters: Data as JSON Array. Minimum needed for each attribute is an idproperty. Other properties can be displayName, description, dataType, and an array of suggestedValues.
• Return: boolean, true if successfully imported

ws = client.workspaces.find(workspace_name='Default')
tp = client.traffic_types.find('account', ws.id)
newAttributeData=[ { "id": "anAttribute2", "displayName": "An Attribute2", "description": "my description here", "dataType": "string", "suggestedValues": ["suggested","values"] } ]
tp.import_attributes_from_json(newAttributeData)

Attributes

Class

Attribute

schema = {
    'id': 'string',
    'trafficTypeId': 'string',
    'displayName': 'string',
    'description': 'string',
    'dataType': 'string',
    'isSearchable': 'bool',
    'workspaceId' : 'string',
    'suggestedValues' : ['string']
}

Methods

Array(Attributes) attributes.list(traffic_type_id, workspace_id)

Fetches all attributes in a traffic type for a workspace and returns an array of Attribute instances.

• Parameters:
  • workspace_id as string
  • traffic_type_id as string
• Return: List of Attribute objects

ws = client.workspaces.find("Defaults")  
tp = client.traffic_types.find('user', ws.id)  
for atr in client.attributes.list(tp.id, ws.id):  
    print (at.display_name)

Attribute attributes.find(attribute_id, traffic_type_name, workspace_id)

Finds an attribute in a traffic type for a workspace.

• Parameters:
  • attribute_id as string
  • traffic_type_name as string
  • workspace_id as string
• Return: Attribute instance

ws = client.workspaces.find("Defaults")  
tp = client.traffic_types.find('user', ws.id)  
atr = client.attributes.find('attrib456', tp.id, ws.id)

Attribute save()

Saves the current attribute and overwrite the existing one.

• Parameters: None
• Return: Attribute instance

ws = client.workspaces.find("Defaults")  
tp = client.traffic_types.find('user', ws.id)  
atr = client.attributes.find('Country', tp.id, ws.id)  
atr.display_name = "Country"  
atr.is_searchable = True  
atr.save()

Boolean delete()

Deletes the current attribute and returns True if it's successful.

• Parameters: None
• Return: Boolean

ws = client.workspaces.find("Defaults")  
tp = client.traffic_types.find('user', ws.id)  
atr = client.attributes.find('Country', tp.id, ws.id)  
atr.delete()

Boolean attributes.delete_by_instance()

Deletes a given attribute and returns True if it's successful.

• Parameters: None
• Return: Boolean

ws = client.workspaces.find("Defaults")  
tp = client.traffic_types.find('user', ws.id)  
atr = client.attributes.find('Country', tp.id, ws.id)  
clients.attributes.delete_by_instance(atr)

Properties

• traffic_type_id: Set or get traffic_type_id for current Attribute object

• display_name: Set or get display_name for current Attribute object

• description: Set or get description for current Attribute object

• data_type: Set or get display_type for current Attribute object

• is_searchable: Set or get is_searchable for current Attribute object

Identities

Class

Identity

schema = {
    'key': 'string',
    'trafficTypeId': 'string',
    'environmentId': 'string',
    'values': 'object'
}

Methods

Identity save()

Saves the current identity and overwrites an existing one if it exists.

• Parameters: None
• Return: Identity object

ws = client.workspaces.find("Defaults")  
env = client.environments.find("Production", ws.id)  
tp = client.traffic_types.find('user', ws.id)  
at = tp.add_identity({'key': 'user120','values': {'attrib456': 'PM'}, 'environmentId': env.id})  
at.key = 'bob'  
at.save()

Array(Identity) identities.add_identities(data)

Adds a new identities list to current traffic type instance and returns a tuple with successful and failed items. Successful items are Identity objects. Failed items will contain the Identity object for the failed item together with a status code and a message.

• Parameters: Data as JSON; [{ key: 'string', values: { 'attribute_id': 'string', … } , 'environmentId': 'string', 'trafficTypeId': 'string'}, …..]
• Return: Tuple

ws = client.workspaces.find("Defaults")  
env = client.environments.find("Production", ws.id)  
tp = client.traffic_types.find('user', ws.id)  
at = client.identities.add_identities([{'key': 'user120','values': {atId: 'PM'}'environmentId': env.id, 'trafficTypeId': tp.id},{'key': 'testing554','values': {atId: 'CEO'}'environmentId': env.id}, 'trafficTypeId': tp.id])

Identity update()

Saves the current identity and overwrite the existing one.

• Parameters: None
• Return: Identity object

ws = client.workspaces.find("Defaults")  
env = client.environments.find("Production", ws.id)  
tp = client.traffic_types.find('user', ws.id)  
at = tp.add_identity({'key': 'user120','values': {'attrib456': 'PM'}, 'environmentId': env.id})  
at.key = 'bob'  
at.update()

Boolean identities.delete(traffic_type_id, environment_id, key)

Deletes an identity object from a user key and returns True if it's successful.

• Parameters: traffic_type_id, environment_id, key
• Return: Boolean

ws = client.workspaces.find("Defaults")  
env = client.environments.find("Production", ws.id)  
tp = client.traffic_types.find('user', ws.id)  
client.identities.delete(tp.id, env.id, 'user100')

Segments

Class

Segment

schema = {
    'name': 'string',
    'description': 'string',
    'trafficType' : {
        'id': 'string',
        'name': 'string'
    },

    'tags': [{'name': 'string'}],

    'creationTime' : 'number',     
}

Methods

Array(Segment) segments.list(workspace_id)

Fetches all segments in a workspace and returns an array of Segment instances.

• Parameters: workspace_id as string
• Return: List of Segment objects

ws = client.workspaces.find("Defaults")  
for seg in client.segments.list(ws.id):  
    print (seg.name+", "+str(seg.description))  

Segment segments.find(segment_name, workspace_id)

Finds a segment in a workspace given a name.

• Parameters:
  • segment_name as string
  • workspace_id as integer
• Return: Segment instance

ws = client.workspaces.find("Defaults")  
seg = client.segments.find("employees", ws.id)  
print (seg.name+", "+str(seg.production))  

SegmentDefinition add_to_environment(environment_id)

Adds a current segment object to an environment.

• Parameters: environment_id as integer
• Return: SegmentDefinition object

ws = client.workspaces.find("Defaults")  
env = client.environments.find("Production", ws.id)  
seg = client.segments.find("employees", ws.id)  
segDef = seg.add_to_environment(env.id)

SegmentDefinition remove_from_environment(environment_id)

Removes a current segment object to an environment and returns True if it's successful.

• Parameters: environment_id as integer
• Return: Boolean

ws = client.workspaces.find("Defaults")  
en = client.environments.find("Production", ws.id)  
seg = client.segments.find("employees", ws.id)  
segDef = seg.remove_from_environment(env.id)  

Class

SegmentDefinition

schema = {
    'name': 'string',
    'environment': {
        'id': 'string',
        'name':'string'
    },
    'trafficType' : {
        'id': 'string',
        'name': 'string'
    },
    'creationTime' : 'number'
}

Methods

Array(SegmentDefinition) segments.list(environment_id, workspace_id)

Fetches all segment definitions in an environment and returns an array of SegmentDefinition instances.

• Parameters:
  • environment_id as integer
  • workspace_id as integer
• Return: List of SegmentDefinition objects

ws = client.workspaces.find("Defaults")  
env = client.environments.find("Production", ws.id)  
for segDef in client.segment_definitions.list(env.id, ws.id):  
    print (segDef.name)

SegmentDefinition segment_definitions.find(segment_name, environment_id, workspace_id)

Finds a segment in an environment.

• Parameters:
  • segment_name as string
  • environment_id as integer
  • workspace_id as integer
• Return: SegmentDefinition instance

ws = client.workspaces.find("Defaults")  
env = client.environments.find("Production", ws.id)  
segDef = client.segment_definitions.find("employees", env.id, ws.id)  
print (segDef.name)

int get_key_count()

Fetches key count of current segment definition object.

• Parameters: None
• Return: integer

ws = client.workspaces.find("Defaults")  
env = client.environments.find("Production", ws.id)  
segDef = client.segment_definitions.find("employees", env.id, ws.id)  
print(str(segDef.get_key_count())) 

Array(string) get_keys()

Fetches all keys of current segment definition object.

• Parameters: None
• Return: Array of string

ws = client.workspaces.find("Defaults")  
env = client.environments.find("Production", ws.id)  
segDef = client.segment_definitions.find("employees", env.id, ws.id)  
for key in segDef.get_keys():  
    print(key)  

Boolean export_keys_to_csv(csv_file_name)

Exports all segment keys in a current segment definition object to a csv file and returns True if it's successful.

• Parameters: csv_file_name as string
• Return: Boolean

ws = client.workspaces.find("Defaults")  
en = client.environments.find("Production", ws.id)  
segDef = client.segment_definitions.find("employees", env.id, ws.id)  
segDef.export_keys_to_csv("seg.csv")  

Boolean import_keys_from_json(replace_keys, json_data)

Imports keys into the current segment definition object from JSON object, with an option to replace all existing keys and returns True if it's successful.

• Parameters:
  • replace_keys as boolean
  • json_data as JSON {'keys':['key1, 'key2', 'key3'], 'comment':'a comment'}
• Return: Boolean

ws = client.workspaces.find("Defaults")  
en = client.environments.find("Production", ws.id)  
segDef = client.segment_definitions.find("employees", env.id, ws.id)  
segDef.import_keys_from_json("false", {"keys":["id4", "id5", "id6"], "comment":"a comment"})  

Boolean remove_keys( json_data)

Removes keys from the current segment definition object stored in JSON object and returns True if it's successful.

• Parameters: json_data as JSON {'keys':['key1, 'key2', 'key3'], 'comment':'a comment'}
• Return: Boolean

ws = client.workspaces.find("Defaults")  
env = client.environments.find("Production", ws.id)  
segDef = client.segment_definitions.find("employees", env.id, ws.id)  
segDef.remove_keys({"keys":["id4", "id5", "id6"], "comment":"a comment"})  

ChangeRequest submit_change_request(definition, operation_type, title, comment, approvers, rollout_status_id)

Submits adding keys request change for current segment definition object.

• Parameters: Definition as JSON;

  {
      'keys': '[string]',
  }
  • operation_type as string
  • title as string
  • comment as string
  • approvers as string array

• Return: ChangeRequest object

ws = client.workspaces.find('Default')  
env = client.environments.find('Production', ws.id)  
segmentDef = client.segment_definitions.find('employees', env.id, ws.id)  
keys = ['user1', 'user2', 'user3']  
cr = segmentDef.submit_change_request(keys, 'CREATE', 'new def', 'comment', ['user@email.com'], None, ws.id)

Splits (now called Feature Flags in Split UI)

Class

Split

schema = {
    'name': 'string',
    'description': 'string',
    'trafficType' : {
        'id': 'string',
        'name': 'string'
    },
    'creationTime' : 'number',
    'id': 'string',
    'rolloutStatus': {
        'id': 'string',
        'name': 'string'
    },
    'rolloutStatusTimestamp': 'number',
    'tags': [{'name': 'string'}],

    'owners': [{'id': 'string', 'type': 'string'}],
}

info

Only getSplit and createSplit return the owners property.

Methods

Array(Split) splits.list(workspace_id, tags)

Fetches all feature flags in a workspace and returns an array of Split instances, will also filter by given tags in array of strings.

• Parameters:

  • workspace_id as integer
  • tags as array(string) Optional.

• Return: List of split objects

ws = client.workspaces.find("Defaults")  
for sp in client.splits.list(ws.id, ["tag1", "tag2"]):  
    print (sp.name+", "+sp.description)  

Split splits.find(split_name, workspace_id, tags)

Finds a feature flag in a workspace given a name.

• Parameters:
  • split_name as string
  • workspace_id as integer
  • tags as string (Optional)
• Return: Split instance

ws = client.workspaces.find("Defaults")  
sp = client.splits.find("new_feature", wd.id)  
print (sp.name+", "+sp.description)  

SplitDefinition add_to_environment(environment_id, json_data)

Adds current Split object to an environment.

• Parameters:

  • environment_id as integer

  • json_data as JSON; split definition structure:

    {
        'comment': 'string',
        'treatments': [{
            'name': 'string',
            'configurations': 'string',
            'description': 'string',
            'keys': [ 'string' ],
            'segments': [ 'string' ]
        }],
        'defaultTreatment': 'string',
    'impressionsDisabled': 'boolean'
        'baselineTreatment': 'string',
        'trafficAllocation': 'number',
    'flagSets': [{'id': 'string', 'type': 'string'}]
        'rules': [{
            'condition': {
                'combiner': 'string',
                'matchers': [{
                    'negate': 'boolean',
                    'type': { 'string' },
                    'attribute': 'string',
                    'string': 'string',
                    'bool' : 'boolean',
                    'strings' : [ 'string' ],
                    'number' : 'number',
                    'date' : 'number',
                    'between': { 'from': 'number', 'to' : 'umber' },
                    'depends': { 'splitName': 'string', 'treatment': 'string' }
                }]
            },
            'buckets': [{
                'treatment': 'string',
                'size': 'number'
            }]
        }],
        'defaultRule': [{
            'treatment': 'string',
            'size': 'number'
        }],
    }

• Return: SplitDefinition object

ws = client.workspaces.find("Defaults")  
env = client.environments.find("Production", ws.id)  
sp = client.splits.find("new_feature", ws.id)  
data={"treatments":[{"name":"on","configurations":""},{"name":"off","configurations": ""}],"defaultTreatment":"off", "baselineTreatment": "off","rules": [{"condition":{"matchers":[{"attribute":"group","type":"IN_LIST_STRING","strings":["employees"]}]}, "buckets":[{"treatment":"on","size":50},{"treatment":"off","size":50}]}],"defaultRule":[{"treatment":"off","size":100}], "comment": "adding comments"}  
spDef = sp.add_to_environment(env.id, data)  

Boolean remove_from_environment(environment_id, title, comment)

Removes a current split object to an environment and returns True if it's successful.

• Parameters: environment_id, title (optional), comment (optional)
• Return: Boolean

ws = client.workspaces.find("Defaults")
en = client.environments.find("Production", ws.id)
sp = client.splits.find("new_feature", ws.id)
sp.remove_from_environment(environment_id=env.id, title="title", comment="comment")  

Boolean associate_tags(tags)

Associates tags on current split object and overwrites existing ones, and returns True if it's successful.

• Parameters: tags as string array
• Return: Boolean

ws = client.workspaces.find("Defaults")  
en = client.environments.find("Production", ws.id)  
sp = client.splits.find("new_feature", ws.id)  
sp.associate_tags(['my_new_tag', 'another_new_tag'])  

Class

SplitDefinition

schema = {
    'name': 'string',
    'environment': {
        'id': 'string',
      'name': 'string'
    },
    'trafficType' : {
        'id': 'string',
        'name': 'string'
    },
    'killed': 'boolean',
    'treatments': [{
        'name': 'string',
        'configurations': 'string',
        'description': 'string',
        'keys': [ 'string' ],
        'segments': [ 'string' ]
    }],
    'defaultTreatment': 'string',
    'baselineTreatment': 'string',
    'trafficAllocation': 'number',
    'rules': [{
        'condition': {
            'combiner': 'string',
            'matchers': [{
                'negate': 'boolean',
                'type': { 'string' },
                'attribute': 'string',
                'string': 'string',
                'bool' : 'boolean',
                'strings' : [ 'string' ],
                'number' : 'number',
                'date' : 'number',
                'between': { 'from': 'number', 'to' : 'umber' },
                'depends': { 'splitName': 'string', 'treatment': 'string' }
            }]
        },
        'buckets': [{
            'treatment': 'string',
            'size': 'number'
        }]
    }],
    'defaultRule': [{
        'treatment': 'string',
        'size': 'number'
    }],
    'creationTime' : 'number',
    'lastUpdateTime' : 'number'
}

Methods

Array(SplitDefinition) split_definitions.list(environment_id, workspace_id)

Fetches all feature flag definitions in an environment and returns an array of SplitDefinition instances.

• Parameters:
  • environment_id as integer
  • workspace_id as integer
• Return: List of SplitDefinition objects

ws = client.workspaces.find("Defaults")  
env = client.environments.find("Production", ws.id)  
for spDef in client.split_definitions.list(env.id, ws.id):  
    print (spDef.name)  

SplitDefinition split_definitions.find(split_name, environment_id, workspace_id)

Finds a feature flag in an environment.

• Parameters:
  • split_name as string
  • environment_id as integer
  • workspace_id as integer
• Return: SplitDefinition instance

ws = client.workspaces.find("Defaults")  
env = client.environments.find("Production", ws.id)  
spDef = client.split_definitions.find("new_feature", env.id, ws.id)  
print (spDef.name)  

SplitDefinition split_definitions.get_definition(split_name, environment_id, workspace_id)

Get a single split definition directly.

• Parameters:
  • split_name as string
  • environment_id as integer
  • workspace_id as integer
• Return: SplitDefinition instance

ws = client.workspaces.find("Defaults")  
env = client.environments.find("Production", ws.id)  
spDef = client.split_definitions.get_definition("new_feature", env.id, ws.id)  
print (spDef.name)  

SplitDefinition update_definition(data)

Updates the full feature flag definition for the current SplitDefinition object.

• Parameters: Data as JSON; Split Definition structure

    {
        'comment': 'string',
        'treatments': [{
            'name': 'string',
            'configurations': 'string',
            'description': 'string',
            'keys': [ 'string' ],
            'segments': [ 'string' ]
        }],
        'defaultTreatment': 'string',    'baselineTreatment': 'string',
        'trafficAllocation': 'number',
        'rules': [{
            'condition': {
                'combiner': 'string',
                'matchers': [{
                    'negate': 'boolean',
                    'type': { 'string' },
                    'attribute': 'string',
                    'string': 'string',
                    'bool' : 'boolean',
                    'strings' : [ 'string' ],
                    'number' : 'number',
                    'date' : 'number',
                    'between': { 'from': 'number', 'to' : 'umber' },
                    'depends': { 'splitName': 'string', 'treatment': 'string' }
                }]
            },
            'buckets': [{
                'treatment': 'string',
                'size': 'number'
            }]
        }],
        'defaultRule': [{
            'treatment': 'string',
            'size': 'number'
        }]
    }

• Return: SplitDefinition instance

ws = client.workspaces.find("Defaults")  
env = client.environments.find("Production", ws.id)  
spDef = client.split_definitions.find("new_feature", env.id, ws.id)  
tr1 = treatment.Treatment({"name":"on","configurations":""})  
tr2 = treatment.Treatment({"name":"off","configurations":""})  
bk1 = bucket.Bucket({"treatment":"on","size":50})  
bk2 = bucket.Bucket({"treatment":"off","size":50})  
match = matcher.Matcher({"attribute":"group","type":"IN_LIST_STRING","strings":["employees"]})  
cond = condition.Condition({'matchers':[match.export_dict()]})  
rl = rule.Rule({'condition':cond.export_dict(), 'buckets':[bk1.export_dict(), bk2.export_dict()]})  
defrl = default_rule.DefaultRule({"treatment":"off","size":100})   
data={"treatments":[tr1.export_dict() ,tr2.export_dict()],"defaultTreatment":"off", "baselineTreatment": "off","rules":[rl.export_dict()],"defaultRule":[defrl.export_dict()], "comment": "adding comments"}  
spNewDef = spDef.update_definition(data)  
print (spNewDef.name)  

Boolean kill()

Kills a current split object, and returns True if it's successful.

• Parameters: None
• Return: Boolean

ws = client.workspaces.find("Defaults")  
env = client.environments.find("Production", ws.id)  
spDef = client.split_definitions.find("new_feature", env.id, ws.id)  
spDef.kill()  

Boolean restore()

Restores a current split object and returns True if it's successful.

• Parameters: None
• Return: Boolean

ws = client.workspaces.find("Defaults")  
env = client.environments.find("Production", ws.id)  
spDef = client.split_definitions.find("new_feature", env.id, ws.id)  
spDef.restore()  

ChangeRequest submit_change_request(definition, operation_type, title, comment, approvers, rollout_status_id)

Submits a definition request change for current split definition object.

• Parameters: Definition as JSON;

    {
        'comment': 'string',
        'treatments': [{
            'name': 'string',
            'configurations': 'string',
            'description': 'string',
            'keys': [ 'string' ],
            'segments': [ 'string' ]
        }],
        'defaultTreatment': 'string',
        'baselineTreatment': 'string',
        'trafficAllocation': 'number',
        'rules': [{
            'condition': {
                'combiner': 'string',
                'matchers': [{
                    'negate': 'boolean',
                    'type': { 'string' },
                    'attribute': 'string',
                    'string': 'string',
                    'bool' : 'boolean',
                    'strings' : [ 'string' ],
                    'number' : 'number',
                    'date' : 'number',
                    'between': { 'from': 'number', 'to' : 'umber' },
                    'depends': { 'splitName': 'string', 'treatment': 'string' }
                }]
            },
            'buckets': [{
                'treatment': 'string',
                'size': 'number'
            }]
        }],
        'defaultRule': [{
            'treatment': 'string',
            'size': 'number'
        }],
    }
  • operation_type as string
  • title as string
  • comment as string
  • approvers as string array
  • rollout_status_id as string, optional, use None if not specified.

• Return: ChangeRequest object

ws = client.workspaces.find("Defaults")  
env = client.environments.find("Production", ws.id)  
spDef = client.split_definitions.find("new_feature", env.id, ws.id)  
definition= {"treatments":[ {"name":"on"},{"name":"off"}],  
"defaultTreatment":"off", "baselineTreatment": "off",  
"rules": [],  
"defaultRule":[{"treatment":"off","size":100}],"comment": "adding comments"  
}  
cr = spDef.submit_change_request(definition, 'UPDATE', 'new def', 'comment', ['user@mail.com'], None)  

Class

Bucket

schema = {
    'treatment': 'string',
    'size': 'number'
}

Methods

JSON export_dict()

Exports the current class structure as JSON.

• Parameters: None
• Return: JSON structure

from splitapiclient.resources import bucket  

bk1 = bucket.Bucket({"treatment":"on","size":50})  
print(bk1.export_dict())

Class

Condition

schema = {
    'combiner': 'string',
    'matchers': [{
        'negate': 'boolean',
        'type': { 'string' },
        'attribute': 'string',
        'string': 'string',
        'bool' : 'boolean',
        'strings' : [ 'string' ],
        'number' : 'number',
        'date' : 'number',
        'between': { 'from': 'number', 'to' : 'number' },
        'depends': { 'splitName': 'string', 'treatment': 'string' }
    }]
}

Methods

JSON export_dict()

Exports the current class structure as JSON.

• Parameters: None
• Return: JSON structure

from splitapiclient.resources import condition  
from splitapiclient.resources import matcher  

match = matcher.Matcher({"attribute":"group","type":"IN_LIST_STRING","strings":["employees"]})  
cond = condition.Condition({'matchers':[match.export_dict()]})  
print(cond.export_dict())  

Class

DefaultRule

schema = {
    'treatment': 'string',
    'size': 'number'
}

Methods

JSON export_dict()

Exports the current class structure as JSON.

• Parameters: None
• Return: JSON structure

from splitapiclient.resources import default_rule  

df = default_rule.DefaultRule({"treatment":"on","size":50})  
print(df.export_dict())    

Class

Matcher

schema = {
    'negate': 'boolean',
    'type': 'string',
    'attribute': 'string',
    'string': 'string',
    'bool' : 'boolean',
    'strings' : [ 'string' ],
    'number' : 'number',
    'date' : 'number',
    'between': {
        'from': 'number',
        'to' : 'number'
    },
    'depends': {
        'splitName': 'string',
        'treatment': 'string'
    }
}

Methods

JSON export_dict()

Exports the current class structure as JSON.

• Parameters: None
• Return: JSON structure

from splitapiclient.resources import matcher  

match = matcher.Matcher({"attribute":"group","type":"IN_LIST_STRING","strings":["employees"]})  
print(match.export_dict())      

Class

Rule

schema = {
    'condition': {
        'combiner': 'string',
        'matchers': [{
            'negate': 'boolean',
            'type': { 'string' },
            'attribute': 'string',
            'string': 'string',
            'bool' : 'boolean',
            'strings' : [ 'string' ],
            'number' : 'number',
            'date' : 'number',
            'between': { 'from': 'number', 'to' : 'umber' },
            'depends': { 'splitName': 'string', 'treatment': 'string' }
        }]
    },
    'buckets': [{
        'treatment': 'string',
        'size': 'number'
    }]
}

Methods

JSON export_dict()

Exports the current class structure as JSON.

• Parameters: None
• Return: JSON structure

from splitapiclient.resources import condition   
from splitapiclient.resources import bucket   
from splitapiclient.resources import matcher  
from splitapiclient.resources import rule  

match = matcher.Matcher({"attribute":"group","type":"IN_LIST_STRING","strings":["employees"]})  
cond = condition.Condition({'matchers':[match.export_dict()]})  
bk1 = bucket.Bucket({"treatment":"on","size":50})  
bk2 = bucket.Bucket({"treatment":"off","size":50})  
rl = rule.Rule({'condition':cond.export_dict(), 'buckets':[bk1.export_dict(), bk2.export_dict()]})  
print(rl.export_dict())      

Class

Treatment

schema = {
    'name': 'string',
    'configurations': 'string',
    'description': 'string',
    'keys': [ 'string' ],
    'segments': [ 'string' ]
}

Methods

JSON export_dict()

Exports the current class structure as JSON.

• Parameters: None
• Return: JSON structure

from splitapiclient.resources import treatment  

tr1 = treatment.Treatment({"name":"on","configurations":""})  
print(tr1.export_dict())     

Change Requests

Class

ChangeRequest

schema = {
    'split': {
        'id': 'string',
        'name': 'string',
        'environment': {
            'id': 'string',
            'name': 'string'
        },
        'trafficType' : {
            'id': 'string',
            'name': 'string'
        },
        'killed': 'boolean',
        'treatments': [{
            'name': 'string',
            'configurations': 'string',
            'description': 'string',
            'keys': [ 'string' ],
            'segments': [ 'string' ]
        }],
        'defaultTreatment': 'string',
        'baselineTreatment': 'string',
        'trafficAllocation': 'number',
        'rules': [{
            'condition': {
                'combiner': 'string',
                'matchers': [{
                    'negate': 'boolean',
                    'type': { 'string' },
                    'attribute': 'string',
                    'string': 'string',
                    'bool' : 'boolean',
                    'strings' : [ 'string' ],
                    'number' : 'number',
                    'date' : 'number',
                  'between': { 'from': 'number', 'to' : 'umber' },
                    'depends': { 'splitName': 'string', 'treatment': 'string' }
                }]
            },
            'buckets': [{
                'treatment': 'string',
                'size': 'number'
            }]
        }],
       'defaultRule': [{
            'treatment': 'string',
            'size': 'number'
        }],
       'openChangeRequestId' : 'number'
    },
    'segment': {
        'name': 'string',
        'keys': ['string']
    },
    'id': 'string',
    'status': 'string',
    'title': 'string',
    'comment': 'string',
    'approvers': ['string'],
    'operationType': 'string',
    'comments':[{
      'comment': 'string',
        'user': 'string',
        'role': 'string',
        'timestamp': 'number'
    }],
    'rolloutStatus': {
        'id': 'string',
        'type': 'string',
        'name': 'string'
    }
}

Methods

Array(ChangeRequest) change_requests.list()

Fetches all change requests and returns array of ChangeRequest instances.

• Parameters: None
• Return: List of ChangeRequest objects

for cr in client.change_requests.list():  
    if cr._split is not None:  
        print (cr._id+", "+cr._split['name']+", "+cr._title+", "+str(cr._split['environment']['id']))   
    if cr._segment is not None:  
        print (cr._id+", "+cr._segment['name']+", "+cr._title)      

Array(ChangeRequest) change_requests.find(split_name, segment_name, environment_id)

Finds a change request in an environment.

• Parameters:
  • split_name as string
  • segment_name as string
  • environment_id as string
• Return: Array of ChangeRequest instances

# Find all change requests in an environment  
ws = client.workspaces.find("Defaults")  
env = client.environments.find("Production", ws.id)  
for cr in client.change_requests.find(None, None, env.id):  
    if cr._split is not None:  
        print (cr._id+", "+cr._split['name']+", "+cr._title+", "+str(cr._split['environment']['id']))   
    if cr._segment is not None:  
        print (cr._id+", "+cr._segment['name']+", "+cr._title)   

ChangeRequest update_status(new_status, comment)

Updates a status of the current change request instance.

• Parameters:
  • new_status as string
  • comment as string
• Return: ChangeRequest object

ws = client.workspaces.find("Defaults")  
env = client.environments.find("Production", ws.id)  
cr = client.change_requests.find("new_feature", None, env.id):  
cr[0].update_status("APPROVED", "done")   

Users

Class

User

schema = {
    'id': 'string',
    'type': 'string',
    'name': 'string',
    'email': 'string',
    'status': 'string',
    'groups': [
    {
        'type': 'string',
        'id': 'string'
    }]
}

Methods

Array(User) users.list(status)

Fetches all users in the current org for specific status and returns array of User instances.

• Parameters: status as string
• Return: List of User objects

for user in client.users.list('ACTIVE'):  
    print(user.email)  

User users.find(email)

Finds user in a workspace given email and returns User instances.

• Parameters: email as string
• Return: User object

user = client.users.find('user@mail.com')  
print(user.email)  

User update_user(data)

Updates the current user object data.

• Parameters: Data as JSON; {'name':'string', 'email':'string', '2fa':Boolean, 'status':'string'}
• Return: User object

user = client.users.find('user@mail.com')  
data = {'name':'bob', 'email':'user@mail.com', '2fa':False, 'status':'ACTIVE'}  
user = user.update_user(data)

User update_user_group(data)

Updates the current user object group.

• Parameters: Data as JSON; [{'op': 'replace', 'path': '/groups/0', 'value': {'id': 'groupId', 'type':'group'}}]
• Return: User object

# Replace current user group  
user = client.users.find('user@mail.com')  
group = client.groups.find('Administrators')  
data = [{'op': 'replace', 'path': '/groups/0', 'value': {'id': '<groupId>', 'type':'group'}}]  
data[0]['value']['id'] = group._id  
user = user.update_user_group(data)  
# Add new group  
data = [{'op': 'add', 'path': '/groups/-', 'value': {'id': '<groupId>', 'type':'group'}}]  
data[0]['value']['id'] = group._id  
user = user.update_user_group(data)  

User invite_user(data)

Sends an invite to an email and returns True if it's successful.

• Parameters: Data as JSON; {'email':'chillaq@gmail.com', "groups":[{"id":"group_id", "type":"group"}]}
• Return: Boolean

client.users.invite_user({'email':'user@mail.com'})

User delete(user_id)

Deletes an existing user and returns True if it's successful.

• Parameters: user_id as string
• Return: Boolean

user = client.users.find('user@mail.com')  
client.users.delete(user._id)

Groups

Class

Group

schema = {
    'id': 'string',
    'type': 'string',
    'name': 'string',
    'description': 'string'
}

Methods

Array(Group) groups.list()

Fetches all groups in current org and returns an array of Group instances.

• Parameters: None
• Return: List of Group objects

for group in client.groups.list():  
    print (group._id+", "+group._name)   

Group groups.find(group_name)

Finds a user in a workspace given email and returns User instances.

• Parameters: email as string
• Return: User object

gr = client.groups.find('Administrators')  
print(gr._id)

Group groups.create_group(data)

Creates a new group in the org and returns a group instance.

• Parameters: Data as JSON; {'name':'string', 'description':'string'}
• Return: User object

gr = client.groups.create_group({'name':'QA', 'description':'QA group'})  
print(gr._id)

Group groups.update_group(group_id, data)

Updates an existing group in the org and returns group instance.

• Parameters: Data as JSON; {'name':'string', 'description':'string'}
• Return: Group object

gr = client.groups.find('QA')  
gr = client.groups.update_group(gr._id, {'name':'QA Team', 'description':'QA group'})  
print(gr._name)

Boolean groups.delete_group(group_id)

Deletes an existing group in the org and returns True if it's successful.

• Parameters: group_id as string
• Return: Boolean

gr = client.groups.find('QA')  
client.groups.delete_group(gr._id)

API Keys

Class

APIKey

schema = {
    'key': 'string',
    'name': 'string',
    'apiKeyType': 'string',
    'organization': {
        'id': 'string',
        'type': 'string'
    },
    'createdBy': {
        'type': 'string',
        'id': 'string',
        'name': 'string'
    },
    'createdAt': 'number',
    'environments': [
    {
        'type': 'string',
        'id': 'string'
    }],
    'workspace': {
        'type': 'string',
        'id': 'string'
    },
'roles': ['string'],
    type: 'api_key'
}

Methods

APIKey apikeys.create_apikey(api_key_name, api_key_type, environment_id, workspace_id)

Creates a new API key in the org and returns an APIKey instance.

• Parameters:
  • api_key_name as string
  • api_key_type as string
  • environment_id as string
  • workspace_id as string
  • list of scopes (optional)
• Return: APIKey object

ws = client.workspaces.find("Defaults")  
env = client.environments.find("Production", ws.id)  
ak = client.apikeys.create_apikey('prod_api','server_side', [env.id], ws.id, ['API_FEATURE_FLAG_VIEWER'])  
print(ak._id)

Boolean apikeys.delete_apikey(apikey_id)

Deletes an API key and returns True if it's successful.

• Parameters: apikey_id as string
• Return: Boolean

client.apikeys.delete_apikey('99go91flvm4h88d7baqh82l0e0u2pp3hldj5')

Flag Sets

Class

FlagSet

schema = {
"id" : "string",
"name": "string",
"description": "string",
"workspace": {
"id": "string",
"type": "string"
},
"createdAt": "string",
"type": "string"
}

Methods

[FlagSet] flag_sets.list(workspace_id)

Returns a list of flag sets.

• Parameters:
  • workspace_id as string
• Return: [FlagSet object]

ws = client.workspaces.find("Defaults")  
for s in client.flag_sets.list( ws.id):
    print(s.name)

FlagSet flag_sets.find(name, workspace_id)

Find a flag set in a workspace by name.

• Parameters:
  • name as string
  • workspace_id as string
• Return: FlagSet object

ws = client.workspaces.find("Defaults")
client.flag_sets.find('my_flagset', ws.id)

FlagSet flag_sets.add(flag_set,workspace_id)

Add a flag set in a workspace.

• Parameters:
  • workspace_id as string
  • flag_set as flag_set object
• Return: FlagSet object

ws = client.workspaces.find("Defaults")  
client.flag_sets.add(flag_set={"name": "omgtest2", "description": "test_description"}, workspace_id=ws.id)

Bool flag_sets.delete(id)

Delete a flag set by ID.

• Parameters: flag_set ID as string
• Return: boolean

client.flag_sets.delete(flag_set_id='39148e6e-63ba-4419-afeb-24683cf01e2b')

Large Segments

Class

Large Segment

schema = {
'name': 'string',
'description': 'string',
'trafficType' : {
'id': 'string',
'name': 'string'
},
'creationTime' : 'number',
'tags': [{'name': 'string'}]   
}

Methods

Array(LargeSegment) large_segments.list(workspace_id)

Fetches all segments in a workspace and returns an array of Segment instances.

• Parameters: workspace_id as string
• Return: List of Segment objects

ws = client.workspaces.find("Defaults")  
for seg in client.large_segments.list(ws.id):  
    print (seg.name+", "+str(seg.description))  

LargeSegment large_segments.find(segment_name, workspace_id)

Finds a segment in a workspace given a name.

• Parameters:
  • segment_name as string
  • workspace_id as integer
• Return: Segment instance

ws = client.workspaces.find("Defaults")  
seg = client.large_segments.find("employees", ws.id)  
print (seg.name+", "+str(seg.production))  

LargeSegmentDefinition add_to_environment(environment_id)

Adds a current segment object to an environment.

• Parameters: environment_id as integer
• Return: LargeSegmentDefinition object

ws = client.workspaces.find("Defaults")  
env = client.environments.find("Production", ws.id)  
seg = client.large_segments.find("employees", ws.id)  
segDef = seg.add_to_environment(env.id)

LargeSegmentDefinition remove_from_environment(environment_id)

Removes a current large segment object to an environment and returns True if it's successful.

• Parameters: environment_id as integer
• Return: Boolean

ws = client.workspaces.find("Defaults")  
en = client.environments.find("Production", ws.id)  
seg = client.large_segments.find("employees", ws.id)  
segDef = seg.remove_from_environment(env.id)  

Class

LargeSegmentDefinition

schema = {
    'name': 'string',
    'environment': {
        'id': 'string',
        'name':'string'
    },
    'trafficType' : {
        'id': 'string',
        'name': 'string'
    },
    'creationTime' : 'number'
}

Methods

Array(LargeSegmentDefinition) large_segments.list(environment_id, workspace_id)

Fetches all large segment definitions in an environment and returns an array of LargeSegmentDefinition instances.

• Parameters:
  • environment_id as integer
  • workspace_id as integer
• Return: List of LargeSegmentDefinition objects

ws = client.workspaces.find("Defaults")  
env = client.environments.find("Production", ws.id)  
for segDef in client.large_segment_definitions.list(env.id, ws.id):  
    print (segDef.name)

LargeSegmentDefinition large_segment_definitions.find(segment_name, environment_id, workspace_id)

Finds a large segment in an environment.

• Parameters:
  • segment_name as string
  • environment_id as integer
  • workspace_id as integer
• Return: LargeSegmentDefinition instance

ws = client.workspaces.find("Defaults")  
env = client.environments.find("Production", ws.id)  
segDef = client.large_segment_definitions.find("employees", env.id, ws.id)  
print (segDef.name)

LargeSegmentDefinition submit_upload(title, comment, approvers, file_path)

Imports keys into the current segment definition from the CSV file.

info

This creates a change request and may not be fully automatable in environments with additional change requests and approvers.

• Parameters:

  • title as string
  • comment as string
  • approvers as [string]
  • file_path as string to a single column, no header CSV with segment key values

• Return: Boolean

ws = client.workspaces.find("Defaults")  
en = client.environments.find("Production", ws.id)  
largeSegmentDef = client.large_segment_definitions.find("employees", env.id, ws.id)  
largeSegmentDef.submit_upload('title', 'comment', [], 'largeSegment.csv')

Boolean remove_all_members( title, comment, approvers)

Removes all keys from the large segment.

info

This creates a change request and may not be fully automatable in environments with additional change requests and approvers.

• Parameters:
  • title as string
  • comment as string
  • approvers as [string]
• Return: Boolean

ws = client.workspaces.find("Defaults")  
env = client.environments.find("Production", ws.id)  
largeSegmentDef = client.large_segment_definitions.find('large_segment',env.id, ws.id)
largeSegmentDef.remove_all_members('title', 'comment', [])

Rule-based Segments

Rule-based segments allow you to define audience segments using complex rule structures and exclusion logic.

Class

RuleBasedSegment

schema = {
'name': 'string',
'description': 'string',
'trafficType' : {
'id': 'string',
'name': 'string'
},
'creationTime' : 'number',
'tags': [{'name': 'string'}]   
}

Methods

rule_based_segments.list(workspace_id)

Fetch all rule-based segments in a workspace.

• Parameters: workspace_id as string
• Return: List of RuleBasedSegment objects

ws = client.workspaces.find("Defaults")
for segment in client.rule_based_segments.list(ws.id):
    print(f"Rule-Based Segment: {segment.name}, {segment.description}")

rule_based_segments.find(segment_name, workspace_id)

Finds a specific rule-based segment by name.

• Parameters:

  • segment_name as string
  • workspace_id as string

• Return: RuleBasedSegment instance

segment = client.rule_based_segments.find("advanced_users", ws.id)

Class

RuleBasedSegmentDefinition

The segment definition is used when adding, updating, or making change requests to rule-based segments in specific environments.

schema = {
  'name': 'string',
  'environment': {
    'id': 'string',
    'name':'string'
  },
  'trafficType' : {
    'id': 'string',
    'name': 'string'
  },
  'creationTime' : 'number',
  'rules': [ ... ],
  'excludedKeys': ['string'],
  'excludedSegments': [ { 'name': 'string', 'type': 'string' } ]
}

Methods

rule_based_segment_definitions.add_to_environment(environment_id)

Adds a rule-based segment to an environment.

• Parameters: environment_id as string

• Return: RuleBasedSegmentDefinition instance

env = client.environments.find("Production", ws.id)
segdef = segment.add_to_environment(env.id)

rule_based_segment_definitions.find(segment_name, environment_id, workspace_id)

Finds a rule-based segment definition in an environment.

• Parameters:

  • segment_name as string
  • environment_id as string
  • workspace_id as string

• Return: RuleBasedSegmentDefinition instance

segdef = client.rule_based_segment_definitions.find("advanced_users", env.id, ws.id)

rule_based_segment_definitions.update(data)

Updates the rule-based segment definition with rules or exclusions.

• Parameters: data as dict

• Return: Updated RuleBasedSegmentDefinition instance

update_data = {
    'rules': [...],
    'excludedKeys': ['user1', 'user2'],
    'excludedSegments': [{'name': 'beta_testers', 'type': 'standard_segment'}]
}
updated_segdef = segdef.update(update_data)

rule_based_segment_definitions.submit_change_request(...)

Submits a change request to update a rule-based segment definition.

• Parameters:

  • rules as list of dicts
  • excluded_keys as list of strings
  • excluded_segments as list of dicts
  • operation_type as string
  • title as string
  • comment as string
  • approvers as list of strings
  • workspace_id as string

• Return:Boolean

segdef.submit_change_request(
    rules=rules,
    excluded_keys=excluded_keys,
    excluded_segments=excluded_segments,
    operation_type='UPDATE',
    title='Lower age threshold to 25',
    comment='Including more users in advanced segment',
    approvers=['user@email.com'],
    workspace_id=ws.id
)

change_requests.list()

List all change requests.

• Return: List of ChangeRequest objects

for cr in client.change_requests.list():
    if cr._split:
        print(f"{cr._id}, {cr._split['name']}, {cr._title}")
    if cr._segment:
        print(f"{cr._id}, {cr._segment['name']}, {cr._title}")

change_requests.update_status(status, comment)

Approve or reject a change request.

• Parameters:

  • status as string (APPROVED or REJECTED)
  • comment as string

• Return: Boolean

for cr in client.change_requests.list():
    if cr._split['name'] == 'new_feature':
        cr.update_status("APPROVED", "done")

For more information about rule-based segments, see the README.