DSS has two sides to it. One is, the process in which the Data is pooled to ElasticSearch and the other is the way it is fetched, aggregated, computed, transformed and sent across.
As this revolves around a variety of Data Sets, there is a need for making this configurable. So that, tomorrow, given a new scenario is introduced, then it is just a configuration away from getting the newly introduced scenario involved in this process flow.
This document explains the steps on how to define the configurations for the Analytics Side Of DSS for mGramSeva.
What is analytics?
Analytics : Micro Service which is responsible for building, fetching, aggregating and computing the Data on ElasticSearch to a consumable Data Response. Which shall be later used for visualizations and graphical representations.
Analytics Configurations: Analytics contains multiple configurations. we need to add the changes related to mGramseva in this dashboard-analytics.
Below is a list of configurations that need to be changed to run mGramSeva successfully.
Chart API Configuration
Master Dashboard Configuration
Description
Chart API Configuration
Each Visualization has its own properties. Each Visualization comes from different data sources (Sometimes it is a combination of different data sources).
In order to configure each visualization and its properties, we have a Chart API Configuration Document.
In this, Visualization Code, which happens to be the key, will be having its properties configured as a part of the configuration and are easily changeable.
Here is the sample ChartApiConfiguration.json data for the mGramSeva.
Master Dashboard Configuration is the main configuration that defines as to which are the Dashboards that are to be painted on the screen.
It includes all the Visualizations, their groups, the charts which comes within them and even their dimensions as what should be their height and width.
Master Dashboard Configuration which was explained earlier hold the list of Dashboards that are available.
Given the instance where Role Action Mapping is not maintained in the Application Service, this configuration will act as Role - Dashboard Mapping Configuration.
In this, each role is mapped against the dashboard which they are authorized to see.
This was used earlier when the Role Action Mapping of eGov was not integrated.
Later, when the Role Action Mapping started controlling the Dashboards to be seen on the client-side, this configuration was just used to enable the Dashboards for viewing.
This transform collection v1 configuration file is used to map with the incoming data. This mapped data will go inside the data object in the DSS collection v2 index.
Here: $i, the variable value that gets incremented for the number of records of paymentDetails $j, the variable value that gets incremented for the number of records of billDetails.
This configuration defines and directs the Enrichment Process which the data goes through.
For example, if the Data which is incoming is belonging to a Collection Module data, then the Collection Domain Config is picked. And based on the Business Type specified in the data, the right config is picked.
In order to enhance the data of Collection, the domain index specified in the configuration is queried with the right arguments and the response data is obtained, transformed and set.
Topic Context Configuration is an outline to define which data is received on which Kafka Topic.
Indexer Service and many other services are sending out data on different Kafka Topics. If the Ingest Service is asked to receive those data and pass it through the pipeline, the context and the version of the data being received has to be set. This configuration is used to identify as in which Kafka topic consumed the data and what is the mapping for that.
Note: For Kafka connect to work, Ingest pipeline application properties or in environments direct push must be disabled.
es.push.direct=false
If DSS collection index data is indexing directly ( without Kafka connector) to ES through the ingest pipeline then, make the application properties or in environments, direct push must be enabled.
es.push.direct=true
Creating Kafka Sync Connector - push the data to the Elasticsearch
Configure the Kafka topics in the environments or Ingest pipeline application properties as shown below.
Kafka connection and re-indexing is available in this documentation. Please check from here.
For the main monthly dashboard, we are using the service API to fetch the data and to show it in the main monthly dashboard table.
Ws-services:
/ws-services/wc/_revenueCollectionData Should be added to get the main monthly dashboard details. It is used to show the table data based on the no of months for selected financial year.
eChallan-Service:
/echallan-services/eChallan/v1/_chalanCollectionData it is added to get the main monthly dashboard data for the expense.
Dashboard-Metrix:
To show the data in metrix format in specific month dashboard we are using service API which will fetch the data based on dash board type.
Ws-services:
/ws-services/wc/_revenueDashboard Should be added to get the revenue dashboard metrix data. It will show the data of revenue collections information
eChallan-Service:
/echallan-services/eChallan/v1/_expenseDashboard Is added in echallan-service to show the data of expenses in metrix format.
{
"code": "GP_ADMIN",
"name": "GP Admin",
"description": "Who has a access to ws-services"
},
{
"code": "COLLECTION_OPERATOR",
"name": "Collection Operator",
"description": "Who has a access to ws-services,demand, bill and payment"
},
{
"code": "BULK_DEMAND_PROCESSING",
"name": "Bulk Demand Processing",
"description": "Who has a access to bulk demand generation,raise bill, downloa bill and receipts"
},
{
"code": "EXPENSE_PROCESSING",
"name": "Expense Processing",
"description": "Who has a access to create and update expenses"
},
{
"code": "DASHBOARD_VIEWER",
"name": "Dashbaord Viewer",
"description": "Who has a access to dashboard of revenue and expenditure"
}
