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Using the Accelerator

While the specific use case of each accelerator may be different, there will be shared common methods of usage.

Any method of data access within the Insights Enterprise platform is valid.

The examples on this page describe access methods hitting pre-built components in the Accelerators.

For detailed API information see API documentation

Request-reply query

Methods for using the in-built get* APIs


Connect to the service gateway and issue a qIPC query

Gateway URL

The gw variable below is defined as an IPC connection to the Service Gateway. For example `:insights-qe-gateway:5050 would connect to the query environment gateway within an insights namespace.

// API arguments dictionary.
args: (!) . flip (
    (`table;            `Trade);
    (`startTS;          2000.01.01D00:00:00);
    (`endTS;            2000.01.02D00:00:00)

//Options dictionary in the query (none)

//issue query to gw handle


See Insights Enterprise documentation on query via REST

An example of basic REST call using curl would be

export INSIGHTS_TOKEN=$(curl --header "Content-Type: application/x-www-form-urlencoded" -d "grant_type=client_credentials&client_id=$INSIGHTS_CLIENT_ID&client_secret=$INSIGHTS_CLIENT_SECRET" "${INSIGHTS_URL}/auth/realms/insights/protocol/openid-connect/token" | jq -r '.access_token');

and then make the REST call using the custom API .client.testAPI:

curl -X POST "${INSIGHTS_URL}/servicegateway/client/testAPI" \
        -H "Content-Type: application/json" \
        -H "Accepted: application/json" \
        -H "Authorization: Bearer $INSIGHTS_TOKEN" \
        --data "$(jq -n \
                table   : "Trade",
                startTS : "2000.01.01D00:00:00.000000000",
                endTS   : "2000.01.02D00:00:00.000000000"
        }' | jq -cr .)" 

Dashboard views

Build a dashboard using the in built APIs

for information about dashboard views see Insights Enterprise docs

All of the Accelerator APIs are available in a query under fsi as seen below

Dashboard view query

Realtime connectivity

By customizing a stream processor pipeline, the output of any ingest and transform can be republished to another service e.g. Kafka

see Insights Enterprise docs on pipeline writers