source
get_activity_log_object_types
get_activity_log_object_types (auth:domolibrary.client.DomoAuth.DomoAuth,
parent_class:str=None,
debug_num_stacks_to_drop=1,
debug_api:bool=False,
session:httpx.AsyncClient=None)
retrieves a list of valid objectTypes that can be used to search the activity_log API
sample implementation of get_activity_log_object_types
# import pandas as pd
try:
token_auth = dmda.DomoTokenAuth(
domo_access_token=os.environ["DOMO_ACCESS_TOKEN"],
domo_instance=os.environ['DOMO_INSTANCE'],
)
al_objecttype_res = await get_activity_log_object_types(auth=token_auth)
print(pd.DataFrame(al_objecttype_res.response))
# use to update `ActivityLog_ObjectType` enum
# [ f"{objecttype.get('translation').upper().replace(' ', '_')} = '{objecttype.get('type')}'" for objecttype in al_objecttype_res.response]
except Exception as e:
print(e)
type translation
0 TOKEN API Client
1 ACCESS_TOKEN Access token
2 ACCOUNT Account
3 ACCOUNT_TEMPLATE Account Template
4 ACTIVITY_LOG Activity log
.. ... ...
101 Workbench_SCHEDULE Workbench schedule
102 WORKFLOW_INSTANCE Workflow Instance
103 WORKFLOW_MODEL Workflow Model
104 WORKFLOW_MODEL_VERSION Workflow Model Version
105 WORKFLOW_TIMER_START Workflow Timer Start
[106 rows x 2 columns]
source
search_activity_log
search_activity_log (auth:domolibrary.client.DomoAuth.DomoAuth,
start_time:int, end_time:int, maximum:int,
object_type:str=None, debug_api:bool=False,
debug_loop:bool=False, parent_class:str=None,
debug_num_stacks_to_drop:int=1,
session:httpx.AsyncClient=None)
loops over activity log api to retrieve audit logs
auth |
DomoAuth |
|
|
start_time |
int |
|
epoch time in milliseconds |
end_time |
int |
|
epoch time in milliseconds |
maximum |
int |
|
|
object_type |
str |
None |
|
debug_api |
bool |
False |
|
debug_loop |
bool |
False |
|
parent_class |
str |
None |
|
debug_num_stacks_to_drop |
int |
1 |
|
session |
AsyncClient |
None |
|
Returns |
ResponseGetData |
|
|
end_datetime = dt.datetime.today()
start_datetime = end_datetime - dt.timedelta(days=100)
token_auth = dmda.DomoTokenAuth(
domo_access_token=os.environ["DOMO_ACCESS_TOKEN"],
domo_instance=os.environ['DOMO_INSTANCE'],
)
page_res = await search_activity_log(
object_type="PAGE",
start_time=convert.convert_datetime_to_epoch_millisecond(start_datetime),
end_time=convert.convert_datetime_to_epoch_millisecond(end_datetime),
auth=token_auth,
maximum=16,
debug_loop=False,
debug_api=False,
)
pd.DataFrame(page_res.response[0:5])
0 |
849137905 |
Example Cards |
1 |
-100000 |
Overview |
2 |
1845973736 |
DomoStats Activity Log App |
3 |
1267639476 |
Dojo Solutions |
4 |
1759878295 |
Beast Modes |
sample implementation of search_activity_log
# import pandas as pd
# import datetime as dt
# import domolibrary.utils.convert as convert
end_datetime = dt.datetime.today()
start_datetime = end_datetime - dt.timedelta(days=100)
token_auth = dmda.DomoTokenAuth(
domo_access_token=os.environ["DOMO_ACCESS_TOKEN"],
domo_instance=os.environ['DOMO_INSTANCE'],
)
activity_log_res = await search_activity_log(
object_type="ACTIVITY_LOG",
start_time=convert.convert_datetime_to_epoch_millisecond(start_datetime),
end_time=convert.convert_datetime_to_epoch_millisecond(end_datetime),
auth=token_auth,
maximum=10,
debug_loop=False,
debug_api=False,
)
pd.DataFrame(activity_log_res.response[0:5])
0 |
Jae Wilson1 |
1893952720 |
USER |
|
0 |
VIEWED |
ACCOUNT:94 |
94 |
ACCOUNT |
|
1741705032025 |
Viewed Account |
None |
DEV_TOKEN |
1 |
Jae Wilson1 |
1893952720 |
USER |
|
0 |
VIEWED |
ACCOUNT:88 |
88 |
ACCOUNT |
|
1741705032022 |
Viewed Account |
None |
DEV_TOKEN |
2 |
Jae Wilson1 |
1893952720 |
USER |
|
0 |
VIEWED |
ACCOUNT:92 |
92 |
ACCOUNT |
|
1741705032014 |
Viewed Account |
None |
DEV_TOKEN |
3 |
Jae Wilson1 |
1893952720 |
USER |
|
0 |
VIEWED |
ACCOUNT:100 |
100 |
ACCOUNT |
|
1741705032007 |
Viewed Account |
None |
DEV_TOKEN |
4 |
Jae Wilson1 |
1893952720 |
USER |
|
0 |
VIEWED |
ACCOUNT:100 |
100 |
ACCOUNT |
|
1741705029863 |
Viewed Account |
None |
DEV_TOKEN |