Recognize an existing Data Model
{ recognizeModel }
Recognizes an existing model from a third party engine.
Method
/API3/dataSources/recognizeModel
Input Parameters
Name
modelRecognitionObject
Object Type
Description
The model and its details.
Output Response
Successful Result Code
200
Response Type
Description of Response Type
Generic API response object with success or failure flag and related messages.
Notes
Use this method to add an existing model into Pyramid. This specifically includes models like MS OLAP cubes, Tabular models, SAP Hana Views and SAP BW Infocubes Once recognized, the models can be used for other operations like the data source changer.
Code Snippets
JavaScript
Curl
Java
C#
Python
PHP
curl -X POST \
-H "paToken: [[apiKey]]" \
-H "Accept: application/json" \
-H "Content-Type: application/json" \
"http://Your.Server.URL/API3/dataSources/recognizeModel" \
-d '{
"modelName" : "modelName",
"isDynamicModel" : true,
"databaseName" : "databaseName",
"serverId" : "serverId"
}'
import com.pyramidanalytics.*;
import com.pyramidanalytics.auth.*;
import com.pyramidanalytics.model.*;
import com.pyramidanalytics.api.DataSourcesServiceApi;
import java.util.*;
public class DataSourcesServiceApiExample {
public static void main(String[] args) {
ApiClient defaultClient = Configuration.getDefaultApiClient();
defaultClient.setBasePath("http://Your.Server.URL/");
// Configure API key authorization: paToken
ApiKeyAuth paToken = (ApiKeyAuth) defaultClient.getAuthentication("paToken");
paToken.setApiKey("YOUR API KEY");
// Uncomment the following line to set a prefix for the API key, e.g. "Token" (defaults to null)
//paToken.setApiKeyPrefix("Token");
// Create an instance of the API class
DataSourcesServiceApi apiInstance = new DataSourcesServiceApi();
// Initialize the modelRecognitionObject parameter object for the call
ModelRecognitionObject modelRecognitionObject = ; // ModelRecognitionObject |
try {
ModifiedItemsResult result = apiInstance.recognizeModel(modelRecognitionObject);
System.out.println(result);
} catch (ApiException e) {
System.err.println("Exception when calling DataSourcesServiceApi#recognizeModel");
e.printStackTrace();
}
}
}
const PyramidAnalyticsWebApi = require('pyramid_analytics_web_api');
const defaultClient = PyramidAnalyticsWebApi.ApiClient.instance;
// Configure API key authorization: paToken
const paToken = defaultClient.authentications['paToken'];
paToken.apiKey = "YOUR API KEY";
// Uncomment the following line to set a prefix for the API key, e.g. "Token" (defaults to null)
//paToken.apiKeyPrefix['paToken'] = "Token";
// Create an instance of the API class
const api = new PyramidAnalyticsWebApi.DataSourcesServiceApi("http://Your.Server.URL")
const modelRecognitionObject = ; // {ModelRecognitionObject}
const callback = function(error, data, response) {
if (error) {
console.error(error);
} else {
console.log('API called successfully. Returned data: ' + data);
}
};
api.recognizeModel(modelRecognitionObject, callback);
using System;
using System.Diagnostics;
using PyramidAnalytics.Sdk.Api;
using PyramidAnalytics.Sdk.Client;
using PyramidAnalytics.Sdk.Model;
public class recognizeModelExample
{
public static void Main()
{
Configuration conf = new Configuration();
conf.BasePath = "http://Your.Server.URL/";
// Configure API key authorization: paToken
conf.ApiKey.Add("paToken", "YOUR_API_KEY");
// Uncomment below to setup prefix (e.g. Bearer) for API key, if needed
// conf.ApiKeyPrefix.Add("paToken", "Bearer");
GlobalConfiguration.Instance = conf;
// Create an instance of the API class
var apiInstance = new DataSourcesServiceApi();
// Initialize the modelRecognitionObject parameter object for the call
var modelRecognitionObject = new ModelRecognitionObject(); // ModelRecognitionObject |
try {
// Recognizes an existing model from a third party engine.
ModifiedItemsResult result = apiInstance.recognizeModel(modelRecognitionObject);
Debug.WriteLine(result);
} catch (Exception e) {
Debug.Print("Exception when calling DataSourcesServiceApi.recognizeModel: " + e.Message );
}
}
}
import com.pyramidanalytics
from com.pyramidanalytics import ApiException
from pprint import pprint
# Configure API key authorization: paToken
api_config = com.pyramidanalytics.Configuration(host = 'http://Your.Server.URL/', api_key={ paToken:'YOUR_ACCESS_TOKEN' })
# Uncomment below to setup prefix (e.g. Bearer) for API key, if needed
# api_config.api_key_prefix['paToken'] = 'Bearer'
with com.pyramidanalytics.ApiClient(api_config) as api_client:
# Create an instance of the API class
api_instance = com.pyramidanalytics.DataSourcesServiceApi(api_client)
# Initialize the modelRecognitionObject parameter object for the call
modelRecognitionObject = # ModelRecognitionObject |
try:
# Recognizes an existing model from a third party engine.
api_response = api_instance.recognize_model(modelRecognitionObject)
pprint(api_response)
except ApiException as e:
print("Exception when calling DataSourcesServiceApi->recognizeModel: %s\n" % e)
<?php
require_once(__DIR__ . '/vendor/autoload.php');
OpenAPITools\Client\Configuration::getDefaultConfiguration()->setHost('http://Your.Server.URL');
// Configure API key authorization: paToken
OpenAPITools\Client\Configuration::getDefaultConfiguration()->setApiKey('paToken', 'YOUR_API_KEY');
// Uncomment below to setup prefix (e.g. Bearer) for API key, if needed
// OpenAPITools\Client\Configuration::getDefaultConfiguration()->setApiKeyPrefix('paToken', 'Bearer');
// Create an instance of the API class
$api_instance = new OpenAPITools\Client\Api\DataSourcesServiceApi();
$modelRecognitionObject = ; // ModelRecognitionObject |
try {
$result = $api_instance->recognizeModel($modelRecognitionObject);
print_r($result);
} catch (Exception $e) {
echo 'Exception when calling DataSourcesServiceApi->recognizeModel: ', $e->getMessage(), PHP_EOL;
}
?>
Note: Use the 'Authentication' API methods to generate an access 'key' or 'token'.