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Spotlight Evaluation Logic
Joshua Hiller edited this page Apr 5, 2022
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8 revisions
Operation ID | Description | ||||
---|---|---|---|---|---|
|
Search for evaluation logic in your environment by providing a FQL filter and paging details. Returns a set of evaluation logic entities which match the filter criteria. | ||||
|
Get details on evaluation logic items by providing one or more IDs. | ||||
|
Search for evaluation logic in your environment by providing a FQL filter and paging details. Returns a set of evaluation logic IDs which match the filter criteria. |
Search for evaluation logic in your environment by providing a FQL filter and paging details. Returns a set of evaluation logic entities which match the filter criteria.
query_evaluation_logic_combined
- Produces: application/json
Name | Service | Uber | Type | Data type | Description |
---|---|---|---|---|---|
after |
|
|
query | string | A pagination token used with the limit parameter to manage pagination of results. On your first request, don't provide an after token. On subsequent requests, provide the after token from the previous response to continue from that place in the results. |
limit |
|
|
query | integer | Maximum number of entities to return. |
filter |
|
|
query | string | FQL query specifying the filter parameters. |
sort |
|
|
query | string | Sort evaluation logic by their properties. |
from falconpy.spotlight_evaluation_logic import SpotlightEvaluationLogic
falcon = SpotlightEvaluationLogic(client_id="API_CLIENT_ID_HERE",
client_secret="API_CLIENT_SECRET_HERE"
)
response = falcon.query_evaluation_logic_combined(after="string",
limit=integer,
filter="string",
sort="string"
)
print(response)
from falconpy import SpotlightEvaluationLogic
falcon = SpotlightEvaluationLogic(client_id="API_CLIENT_ID_HERE",
client_secret="API_CLIENT_SECRET_HERE"
)
response = falcon.combinedQueryEvaluationLogic(after="string",
limit=integer,
filter="string",
sort="string"
)
print(response)
from falconpy import APIHarness
falcon = APIHarness(client_id="API_CLIENT_ID_HERE",
client_secret="API_CLIENT_SECRET_HERE"
)
response = falcon.command("combinedQueryEvaluationLogic",
after="string",
limit=integer,
filter="string",
sort="string"
)
print(response)
Get details on evaluation logic items by providing one or more IDs.
get_evaluation_logic
- Produces: application/json
Name | Service | Uber | Type | Data type | Description |
---|---|---|---|---|---|
ids |
|
|
query | array (string) | One or more evaluation logic IDs. |
from falconpy.spotlight_evaluation_logic import SpotlightEvaluationLogic
falcon = SpotlightEvaluationLogic(client_id="API_CLIENT_ID_HERE",
client_secret="API_CLIENT_SECRET_HERE"
)
id_list = 'ID1,ID2,ID3' # Can also pass a list here: ['ID1', 'ID2', 'ID3']
response = falcon.get_evaluation_logic(ids=id_list)
print(response)
from falconpy import SpotlightEvaluationLogic
falcon = SpotlightEvaluationLogic(client_id="API_CLIENT_ID_HERE",
client_secret="API_CLIENT_SECRET_HERE"
)
id_list = 'ID1,ID2,ID3' # Can also pass a list here: ['ID1', 'ID2', 'ID3']
response = falcon.getEvaluationLogic(ids=id_list)
print(response)
from falconpy import APIHarness
falcon = APIHarness(client_id="API_CLIENT_ID_HERE",
client_secret="API_CLIENT_SECRET_HERE"
)
id_list = 'ID1,ID2,ID3' # Can also pass a list here: ['ID1', 'ID2', 'ID3']
response = falcon.command("getEvaluationLogic", ids=id_list)
print(response)
Search for evaluation logic in your environment by providing a FQL filter and paging details. Returns a set of evaluation logic IDs which match the filter criteria.
query_evaluation_logic
- Produces: application/json
Name | Service | Uber | Type | Data type | Description |
---|---|---|---|---|---|
after |
|
|
query | string | A pagination token used with the limit parameter to manage pagination of results. On your first request, don't provide an after token. On subsequent requests, provide the after token from the previous response to continue from that place in the results. |
limit |
|
|
query | integer | Maximum number of entities to return. |
filter |
|
|
query | string | FQL query specifying the filter parameters. |
sort |
|
|
query | string | Sort evaluation logic by their properties. |
from falconpy.spotlight_evaluation_logic import SpotlightEvaluationLogic
falcon = SpotlightEvaluationLogic(client_id="API_CLIENT_ID_HERE",
client_secret="API_CLIENT_SECRET_HERE"
)
response = falcon.query_evaluation_logic(after="string",
limit=integer,
filter="string",
sort="string"
)
print(response)
from falconpy import SpotlightEvaluationLogic
falcon = SpotlightEvaluationLogic(client_id="API_CLIENT_ID_HERE",
client_secret="API_CLIENT_SECRET_HERE"
)
response = falcon.queryEvaluationLogic(after="string",
limit=integer,
filter="string",
sort="string"
)
print(response)
from falconpy import APIHarness
falcon = APIHarness(client_id="API_CLIENT_ID_HERE",
client_secret="API_CLIENT_SECRET_HERE"
)
response = falcon.command("queryEvaluationLogic",
after="string",
limit=integer,
filter="string",
sort="string"
)
print(response)
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