# configure an auth method
import os
import domolibrary.client.DomoAuth as dmda
= dmda.DomoTokenAuth(
token_auth =os.environ['DOMO_INSTANCE'],
domo_instance=os.environ["DOMO_ACCESS_TOKEN"],
domo_access_token )
domolibrary: a powerful pydomo alternative
Formatting
use_snake_case for everything except class names is_bool - prefix any boolean parameters with is_bool
Patterns to recycle
UPSERT
domolibrary.classes.DomoUser upsert_user
search entity
user_routes.SearchUser_NoResults()
What is it?
domolibrary is a Python package that provides a OOP (class-based) and a functional approach to interacting with Domo’s API framework.
All accessed APIs are documented under DataCrew’s Domo Documentation page.
This library was created by DataCrew contributor Jae Wilson.
Install
The DataCrew team is hard at work expanding the list of available classes
and routes
. We have a ton of work completed, it’s just a matter of migrating and documenting the code into this library.
pip install domolibrary
How to use
Authentication
For each task, consider the appropriate DomoAuth
mechanism. In most cases DomoFullAuth
or DomoTokenAuth
will be appropriate as this library predominately accesses private APIs.
Any Public routes or methods will be labeled appropriately in which case you should use DomoDeveloperAuth
. Public routes are APIs enumerated and documented under Developer.Domo.com.
Typically each project will begin with configuring an auth object. If you are accessing multiple Domo instances, you’ll probably need multiple auth objects.
Option 1: class based programming
In this project domo entities, DomoActivityLog
, DomoDataset
are all prefixed ‘Domo’ and can be found in the classes
folder. Each class method will call one or more routes
. Each route will interact with one and only one API.
Although most methods will be standard methods that will be called after creating an instance of the class, some methods will be classmethods which return an instance of the class.
In the example below, DomoDataset.get_by_id
is a classmethod.
Note: DomoLibrary uses the asynchronous aiohttp
requests library to offer users the ability to write concurrently executing code.
# import domolibrary.classes.DomoDataset as dmds
# # this is a class method
# domo_ds = await dmds.DomoDataset.get_by_id(auth=token_auth, dataset_id=os.environ['DOJO_DATASET_ID'])
# domo_ds
Once instantiated, you can call methods to interact with that object. You typically won’t have to pass auth creds again because they are saved to the object.
In the example below we are retrieving the DomoDataset_Schema
which consists of subclass DomoDataset_Schema_Column
using the DomoDataset_Schema.get
method.
We take the approach of where possible converting dictionaries from Domo APIs into classes because it provides greater predictability when users are creating integrations between platforms (ex. Domo to Trello).
# await domo_ds.schema.get()
Typically all information about an entity is saved in the object
# domo_ds.__dict__
Option 2 functional programming
Although classes add a pretty wrapper for interacting with Domo APIs, users can opt to interact directly with APIs by way of routes
.
All route functions will exclusively call one API and will always return a ResponseGetData
object OR raise an Exception
if appropriate.
For example we can implement similar functionality as the Option 1 example by calling the get_dataset_by_id
function.
import domolibrary.routes.dataset as dataset_routes
= await dataset_routes.get_dataset_by_id(
ds_res =token_auth, dataset_id=os.environ["DOJO_DATASET_ID"]
auth
) ds_res
warning this token has not been validated by who_am_i, run get_auth_token first
ResponseGetData(status=200, response={'id': '04c1574e-c8be-4721-9846-c6ffa491144b', 'displayType': 'domo-jupyterdata', 'dataProviderType': 'domo-jupyterdata', 'type': 'Jupyter', 'name': 'domo_kbs', 'owner': {'id': '1893952720', 'name': 'Jae Wilson1', 'type': 'USER', 'group': False}, 'status': 'SUCCESS', 'created': 1668379680000, 'lastTouched': 1711222468000, 'lastUpdated': 1668385822045, 'rowCount': 1185, 'columnCount': 7, 'cardInfo': {'cardCount': 2, 'cardViewCount': 0}, 'properties': {'formulas': {'formulas': {'calculation_ca9d4b1c-f73a-4f76-9f94-d3c4ca6871c5': {'templateId': 2664, 'id': 'calculation_ca9d4b1c-f73a-4f76-9f94-d3c4ca6871c5', 'name': 'rowcount', 'formula': 'sum(1)', 'status': 'VALID', 'dataType': 'LONG', 'persistedOnDataSource': True, 'isAggregatable': True, 'bignumber': False, 'variable': False}, 'calculation_38846559-d190-4ab1-809b-bcd361db5670': {'templateId': 2665, 'id': 'calculation_38846559-d190-4ab1-809b-bcd361db5670', 'name': 'max_views', 'formula': 'max(views)', 'status': 'VALID', 'dataType': 'LONG', 'persistedOnDataSource': True, 'isAggregatable': True, 'bignumber': False, 'columnPositions': [{'columnName': 'views', 'columnPosition': 4}], 'variable': False}}}}, 'state': 'SUCCESS', 'validConfiguration': True, 'validAccount': True, 'streamId': 825, 'transportType': 'API', 'adc': True, 'adcExternal': False, 'adcSource': 'DIRECT', 'cloudId': 'domo', 'cloudName': 'Domo', 'permissions': 'READ_WRITE_DELETE_SHARE_ADMIN', 'hidden': False, 'tags': '["Mar-23-2024 13:34","developer_documentation","hackercore"]', 'scheduleActive': True, 'cardCount': 2, 'cryoStatus': 'ADRENALINE', 'cloudEngine': 'domo'}, is_success=True, parent_class=None)
ResponseGetData
will always include a boolean is_success
, the API status
, and raw API response
.
Typically the route methods will not alter the response unless the API does not include a descriptive response (ex, routes.dataset.set_dataset_tags
does not return a response so we artificially alter the response in the function.)
[type(getattr(ds_res, prop)))
(prop, for prop in dir(ds_res)
if not prop.startswith("_")
]
[('auth', domolibrary.client.DomoAuth.DomoTokenAuth),
('is_success', bool),
('parent_class', NoneType),
('response', dict),
('set_response', method),
('status', int),
('traceback_details', domolibrary.client.Logger.TracebackDetails)]
ds_res.response
{'id': '04c1574e-c8be-4721-9846-c6ffa491144b',
'displayType': 'domo-jupyterdata',
'dataProviderType': 'domo-jupyterdata',
'type': 'Jupyter',
'name': 'domo_kbs',
'owner': {'id': '1893952720',
'name': 'Jae Wilson1',
'type': 'USER',
'group': False},
'status': 'SUCCESS',
'created': 1668379680000,
'lastTouched': 1711222468000,
'lastUpdated': 1668385822045,
'rowCount': 1185,
'columnCount': 7,
'cardInfo': {'cardCount': 2, 'cardViewCount': 0},
'properties': {'formulas': {'formulas': {'calculation_ca9d4b1c-f73a-4f76-9f94-d3c4ca6871c5': {'templateId': 2664,
'id': 'calculation_ca9d4b1c-f73a-4f76-9f94-d3c4ca6871c5',
'name': 'rowcount',
'formula': 'sum(1)',
'status': 'VALID',
'dataType': 'LONG',
'persistedOnDataSource': True,
'isAggregatable': True,
'bignumber': False,
'variable': False},
'calculation_38846559-d190-4ab1-809b-bcd361db5670': {'templateId': 2665,
'id': 'calculation_38846559-d190-4ab1-809b-bcd361db5670',
'name': 'max_views',
'formula': 'max(views)',
'status': 'VALID',
'dataType': 'LONG',
'persistedOnDataSource': True,
'isAggregatable': True,
'bignumber': False,
'columnPositions': [{'columnName': 'views', 'columnPosition': 4}],
'variable': False}}}},
'state': 'SUCCESS',
'validConfiguration': True,
'validAccount': True,
'streamId': 825,
'transportType': 'API',
'adc': True,
'adcExternal': False,
'adcSource': 'DIRECT',
'cloudId': 'domo',
'cloudName': 'Domo',
'permissions': 'READ_WRITE_DELETE_SHARE_ADMIN',
'hidden': False,
'tags': '["Mar-23-2024 13:34","developer_documentation","hackercore"]',
'scheduleActive': True,
'cardCount': 2,
'cryoStatus': 'ADRENALINE',
'cloudEngine': 'domo'}
Access Paginated APIs using the Looper
A hidden advantage of using the DomoLibrary is that paginated API requests are baked into the route’s definition.
Consider query_dataset_private
from the routes.dataset
.
Inside this function we are using looper
from client.get_data
to paginate over the API response.
known errors
- utils/upload_data is using a general try/except
- bootstrap route raising a general exception
- integrations/role_hierarchy raising general exception
- integrations/domoJupyter raising general exception
- DomoUser general Exception