Microsoft Azure Metrics Advisor REST API

Microsoft Azure Metrics Advisor REST API

Query a single anomaly detection configuration

Query a single anomaly detection configuration

Select the testing console in the region where you created your resource:

Open API testing console

Request URL

Request parameters

string

Format - uuid. anomaly detection configuration unique id

Request headers

string
Subscription key which provides access to this API. Found in your Cognitive Services accounts.

Request body

Response 200

Success

{
  "name": "Anomaly detection configuration name",
  "description": "Anomaly detection configuration description",
  "metricId": "22222222-2222-2222-2222-000000000001",
  "wholeMetricConfiguration": {
    "conditionOperator": "AND",
    "smartDetectionCondition": {
      "sensitivity": 91,
      "anomalyDetectorDirection": "Both",
      "suppressCondition": {
        "minNumber": 1,
        "minRatio": 100
      }
    },
    "hardThresholdCondition": {
      "lowerBound": 1,
      "upperBound": 100,
      "anomalyDetectorDirection": "Both",
      "suppressCondition": {
        "minNumber": 1,
        "minRatio": 100
      }
    },
    "changeThresholdCondition": {
      "changePercentage": 5,
      "shiftPoint": 1,
      "withinRange": false,
      "anomalyDetectorDirection": "Both",
      "suppressCondition": {
        "minNumber": 1,
        "minRatio": 100
      }
    }
  },
  "dimensionGroupOverrideConfigurations": [
    {
      "group": {
        "dimension": {
          "city": "Beijing"
        }
      },
      "conditionOperator": "AND",
      "smartDetectionCondition": {
        "sensitivity": 91,
        "anomalyDetectorDirection": "Both",
        "suppressCondition": {
          "minNumber": 1,
          "minRatio": 100
        }
      },
      "hardThresholdCondition": {
        "lowerBound": 1,
        "upperBound": 100,
        "anomalyDetectorDirection": "Both",
        "suppressCondition": {
          "minNumber": 1,
          "minRatio": 100
        }
      },
      "changeThresholdCondition": {
        "changePercentage": 5,
        "shiftPoint": 1,
        "withinRange": false,
        "anomalyDetectorDirection": "Both",
        "suppressCondition": {
          "minNumber": 1,
          "minRatio": 100
        }
      }
    }
  ],
  "seriesOverrideConfigurations": [
    {
      "series": {
        "dimension": {
          "category": "Jewelry",
          "city": "Beijing"
        }
      },
      "conditionOperator": "AND",
      "smartDetectionCondition": {
        "sensitivity": 91,
        "anomalyDetectorDirection": "Both",
        "suppressCondition": {
          "minNumber": 1,
          "minRatio": 100
        }
      },
      "hardThresholdCondition": {
        "lowerBound": 1,
        "upperBound": 100,
        "anomalyDetectorDirection": "Both",
        "suppressCondition": {
          "minNumber": 1,
          "minRatio": 100
        }
      },
      "changeThresholdCondition": {
        "changePercentage": 5,
        "shiftPoint": 1,
        "withinRange": false,
        "anomalyDetectorDirection": "Both",
        "suppressCondition": {
          "minNumber": 1,
          "minRatio": 100
        }
      }
    }
  ]
}
{
  "required": [
    "metricId",
    "name",
    "wholeMetricConfiguration"
  ],
  "type": "object",
  "properties": {
    "anomalyDetectionConfigurationId": {
      "format": "uuid",
      "description": "anomaly detection configuration unique id",
      "type": "string",
      "readOnly": true
    },
    "name": {
      "description": "anomaly detection configuration name",
      "type": "string"
    },
    "description": {
      "description": "anomaly detection configuration description",
      "default": "",
      "type": "string"
    },
    "metricId": {
      "format": "uuid",
      "description": "metric unique id",
      "type": "string"
    },
    "wholeMetricConfiguration": {
      "type": "object",
      "properties": {
        "conditionOperator": {
          "description": "condition operator\r\n\r\nshould be specified when combining multiple detection conditions",
          "enum": [
            "AND",
            "OR"
          ],
          "type": "string",
          "x-ms-enum": {
            "name": "AnomalyDetectionConfigurationLogicType",
            "modelAsString": true
          }
        },
        "smartDetectionCondition": {
          "required": [
            "anomalyDetectorDirection",
            "sensitivity",
            "suppressCondition"
          ],
          "type": "object",
          "properties": {
            "sensitivity": {
              "format": "double",
              "description": "sensitivity, value range : (0, 100]",
              "type": "number"
            },
            "anomalyDetectorDirection": {
              "description": "detection direction",
              "enum": [
                "Both",
                "Down",
                "Up"
              ],
              "type": "string",
              "x-ms-enum": {
                "name": "AnomalyDetectorDirection",
                "modelAsString": true
              }
            },
            "suppressCondition": {
              "required": [
                "minNumber",
                "minRatio"
              ],
              "type": "object",
              "properties": {
                "minNumber": {
                  "format": "int32",
                  "description": "min point number, value range : [1, +∞)",
                  "type": "integer"
                },
                "minRatio": {
                  "format": "double",
                  "description": "min point ratio, value range : (0, 100]",
                  "type": "number"
                }
              }
            }
          }
        },
        "hardThresholdCondition": {
          "required": [
            "anomalyDetectorDirection",
            "suppressCondition"
          ],
          "type": "object",
          "properties": {
            "lowerBound": {
              "format": "double",
              "description": "lower bound\r\n\r\nshould be specified when anomalyDetectorDirection is Both or Down",
              "type": "number"
            },
            "upperBound": {
              "format": "double",
              "description": "upper bound\r\n\r\nshould be specified when anomalyDetectorDirection is Both or Up",
              "type": "number"
            },
            "anomalyDetectorDirection": {
              "description": "detection direction",
              "enum": [
                "Both",
                "Down",
                "Up"
              ],
              "type": "string",
              "x-ms-enum": {
                "name": "AnomalyDetectorDirection",
                "modelAsString": true
              }
            },
            "suppressCondition": {
              "required": [
                "minNumber",
                "minRatio"
              ],
              "type": "object",
              "properties": {
                "minNumber": {
                  "format": "int32",
                  "description": "min point number, value range : [1, +∞)",
                  "type": "integer"
                },
                "minRatio": {
                  "format": "double",
                  "description": "min point ratio, value range : (0, 100]",
                  "type": "number"
                }
              }
            }
          }
        },
        "changeThresholdCondition": {
          "required": [
            "anomalyDetectorDirection",
            "changePercentage",
            "shiftPoint",
            "suppressCondition",
            "withinRange"
          ],
          "type": "object",
          "properties": {
            "changePercentage": {
              "format": "double",
              "description": "change percentage, value range : [0, +∞)",
              "type": "number"
            },
            "shiftPoint": {
              "format": "int32",
              "description": "shift point, value range : [1, +∞)",
              "type": "integer"
            },
            "withinRange": {
              "description": "if the withinRange = true, detected data is abnormal when the value falls in the range, in this case anomalyDetectorDirection must be Both\r\nif the withinRange = false, detected data is abnormal when the value falls out of the range",
              "type": "boolean"
            },
            "anomalyDetectorDirection": {
              "description": "detection direction",
              "enum": [
                "Both",
                "Down",
                "Up"
              ],
              "type": "string",
              "x-ms-enum": {
                "name": "AnomalyDetectorDirection",
                "modelAsString": true
              }
            },
            "suppressCondition": {
              "required": [
                "minNumber",
                "minRatio"
              ],
              "type": "object",
              "properties": {
                "minNumber": {
                  "format": "int32",
                  "description": "min point number, value range : [1, +∞)",
                  "type": "integer"
                },
                "minRatio": {
                  "format": "double",
                  "description": "min point ratio, value range : (0, 100]",
                  "type": "number"
                }
              }
            }
          }
        }
      }
    },
    "dimensionGroupOverrideConfigurations": {
      "description": "detection configuration for series group",
      "uniqueItems": true,
      "type": "array",
      "items": {
        "required": [
          "group"
        ],
        "type": "object",
        "properties": {
          "group": {
            "required": [
              "dimension"
            ],
            "type": "object",
            "properties": {
              "dimension": {
                "description": "dimension specified for series group",
                "type": "object",
                "additionalProperties": {
                  "type": "string"
                }
              }
            }
          },
          "conditionOperator": {
            "description": "condition operator\r\n\r\nshould be specified when combining multiple detection conditions",
            "enum": [
              "AND",
              "OR"
            ],
            "type": "string",
            "x-ms-enum": {
              "name": "AnomalyDetectionConfigurationLogicType",
              "modelAsString": true
            }
          },
          "smartDetectionCondition": {
            "required": [
              "anomalyDetectorDirection",
              "sensitivity",
              "suppressCondition"
            ],
            "type": "object",
            "properties": {
              "sensitivity": {
                "format": "double",
                "description": "sensitivity, value range : (0, 100]",
                "type": "number"
              },
              "anomalyDetectorDirection": {
                "description": "detection direction",
                "enum": [
                  "Both",
                  "Down",
                  "Up"
                ],
                "type": "string",
                "x-ms-enum": {
                  "name": "AnomalyDetectorDirection",
                  "modelAsString": true
                }
              },
              "suppressCondition": {
                "required": [
                  "minNumber",
                  "minRatio"
                ],
                "type": "object",
                "properties": {
                  "minNumber": {
                    "format": "int32",
                    "description": "min point number, value range : [1, +∞)",
                    "type": "integer"
                  },
                  "minRatio": {
                    "format": "double",
                    "description": "min point ratio, value range : (0, 100]",
                    "type": "number"
                  }
                }
              }
            }
          },
          "hardThresholdCondition": {
            "required": [
              "anomalyDetectorDirection",
              "suppressCondition"
            ],
            "type": "object",
            "properties": {
              "lowerBound": {
                "format": "double",
                "description": "lower bound\r\n\r\nshould be specified when anomalyDetectorDirection is Both or Down",
                "type": "number"
              },
              "upperBound": {
                "format": "double",
                "description": "upper bound\r\n\r\nshould be specified when anomalyDetectorDirection is Both or Up",
                "type": "number"
              },
              "anomalyDetectorDirection": {
                "description": "detection direction",
                "enum": [
                  "Both",
                  "Down",
                  "Up"
                ],
                "type": "string",
                "x-ms-enum": {
                  "name": "AnomalyDetectorDirection",
                  "modelAsString": true
                }
              },
              "suppressCondition": {
                "required": [
                  "minNumber",
                  "minRatio"
                ],
                "type": "object",
                "properties": {
                  "minNumber": {
                    "format": "int32",
                    "description": "min point number, value range : [1, +∞)",
                    "type": "integer"
                  },
                  "minRatio": {
                    "format": "double",
                    "description": "min point ratio, value range : (0, 100]",
                    "type": "number"
                  }
                }
              }
            }
          },
          "changeThresholdCondition": {
            "required": [
              "anomalyDetectorDirection",
              "changePercentage",
              "shiftPoint",
              "suppressCondition",
              "withinRange"
            ],
            "type": "object",
            "properties": {
              "changePercentage": {
                "format": "double",
                "description": "change percentage, value range : [0, +∞)",
                "type": "number"
              },
              "shiftPoint": {
                "format": "int32",
                "description": "shift point, value range : [1, +∞)",
                "type": "integer"
              },
              "withinRange": {
                "description": "if the withinRange = true, detected data is abnormal when the value falls in the range, in this case anomalyDetectorDirection must be Both\r\nif the withinRange = false, detected data is abnormal when the value falls out of the range",
                "type": "boolean"
              },
              "anomalyDetectorDirection": {
                "description": "detection direction",
                "enum": [
                  "Both",
                  "Down",
                  "Up"
                ],
                "type": "string",
                "x-ms-enum": {
                  "name": "AnomalyDetectorDirection",
                  "modelAsString": true
                }
              },
              "suppressCondition": {
                "required": [
                  "minNumber",
                  "minRatio"
                ],
                "type": "object",
                "properties": {
                  "minNumber": {
                    "format": "int32",
                    "description": "min point number, value range : [1, +∞)",
                    "type": "integer"
                  },
                  "minRatio": {
                    "format": "double",
                    "description": "min point ratio, value range : (0, 100]",
                    "type": "number"
                  }
                }
              }
            }
          }
        }
      }
    },
    "seriesOverrideConfigurations": {
      "description": "detection configuration for specific series",
      "uniqueItems": true,
      "type": "array",
      "items": {
        "required": [
          "series"
        ],
        "type": "object",
        "properties": {
          "series": {
            "required": [
              "dimension"
            ],
            "type": "object",
            "properties": {
              "dimension": {
                "description": "dimension specified for series",
                "type": "object",
                "additionalProperties": {
                  "type": "string"
                }
              }
            }
          },
          "conditionOperator": {
            "description": "condition operator\r\n\r\nshould be specified when combining multiple detection conditions",
            "enum": [
              "AND",
              "OR"
            ],
            "type": "string",
            "x-ms-enum": {
              "name": "AnomalyDetectionConfigurationLogicType",
              "modelAsString": true
            }
          },
          "smartDetectionCondition": {
            "required": [
              "anomalyDetectorDirection",
              "sensitivity",
              "suppressCondition"
            ],
            "type": "object",
            "properties": {
              "sensitivity": {
                "format": "double",
                "description": "sensitivity, value range : (0, 100]",
                "type": "number"
              },
              "anomalyDetectorDirection": {
                "description": "detection direction",
                "enum": [
                  "Both",
                  "Down",
                  "Up"
                ],
                "type": "string",
                "x-ms-enum": {
                  "name": "AnomalyDetectorDirection",
                  "modelAsString": true
                }
              },
              "suppressCondition": {
                "required": [
                  "minNumber",
                  "minRatio"
                ],
                "type": "object",
                "properties": {
                  "minNumber": {
                    "format": "int32",
                    "description": "min point number, value range : [1, +∞)",
                    "type": "integer"
                  },
                  "minRatio": {
                    "format": "double",
                    "description": "min point ratio, value range : (0, 100]",
                    "type": "number"
                  }
                }
              }
            }
          },
          "hardThresholdCondition": {
            "required": [
              "anomalyDetectorDirection",
              "suppressCondition"
            ],
            "type": "object",
            "properties": {
              "lowerBound": {
                "format": "double",
                "description": "lower bound\r\n\r\nshould be specified when anomalyDetectorDirection is Both or Down",
                "type": "number"
              },
              "upperBound": {
                "format": "double",
                "description": "upper bound\r\n\r\nshould be specified when anomalyDetectorDirection is Both or Up",
                "type": "number"
              },
              "anomalyDetectorDirection": {
                "description": "detection direction",
                "enum": [
                  "Both",
                  "Down",
                  "Up"
                ],
                "type": "string",
                "x-ms-enum": {
                  "name": "AnomalyDetectorDirection",
                  "modelAsString": true
                }
              },
              "suppressCondition": {
                "required": [
                  "minNumber",
                  "minRatio"
                ],
                "type": "object",
                "properties": {
                  "minNumber": {
                    "format": "int32",
                    "description": "min point number, value range : [1, +∞)",
                    "type": "integer"
                  },
                  "minRatio": {
                    "format": "double",
                    "description": "min point ratio, value range : (0, 100]",
                    "type": "number"
                  }
                }
              }
            }
          },
          "changeThresholdCondition": {
            "required": [
              "anomalyDetectorDirection",
              "changePercentage",
              "shiftPoint",
              "suppressCondition",
              "withinRange"
            ],
            "type": "object",
            "properties": {
              "changePercentage": {
                "format": "double",
                "description": "change percentage, value range : [0, +∞)",
                "type": "number"
              },
              "shiftPoint": {
                "format": "int32",
                "description": "shift point, value range : [1, +∞)",
                "type": "integer"
              },
              "withinRange": {
                "description": "if the withinRange = true, detected data is abnormal when the value falls in the range, in this case anomalyDetectorDirection must be Both\r\nif the withinRange = false, detected data is abnormal when the value falls out of the range",
                "type": "boolean"
              },
              "anomalyDetectorDirection": {
                "description": "detection direction",
                "enum": [
                  "Both",
                  "Down",
                  "Up"
                ],
                "type": "string",
                "x-ms-enum": {
                  "name": "AnomalyDetectorDirection",
                  "modelAsString": true
                }
              },
              "suppressCondition": {
                "required": [
                  "minNumber",
                  "minRatio"
                ],
                "type": "object",
                "properties": {
                  "minNumber": {
                    "format": "int32",
                    "description": "min point number, value range : [1, +∞)",
                    "type": "integer"
                  },
                  "minRatio": {
                    "format": "double",
                    "description": "min point ratio, value range : (0, 100]",
                    "type": "number"
                  }
                }
              }
            }
          }
        }
      }
    }
  },
  "example": {
    "name": "Anomaly detection configuration name",
    "description": "Anomaly detection configuration description",
    "metricId": "22222222-2222-2222-2222-000000000001",
    "wholeMetricConfiguration": {
      "conditionOperator": "AND",
      "smartDetectionCondition": {
        "sensitivity": 91,
        "anomalyDetectorDirection": "Both",
        "suppressCondition": {
          "minNumber": 1,
          "minRatio": 100
        }
      },
      "hardThresholdCondition": {
        "lowerBound": 1,
        "upperBound": 100,
        "anomalyDetectorDirection": "Both",
        "suppressCondition": {
          "minNumber": 1,
          "minRatio": 100
        }
      },
      "changeThresholdCondition": {
        "changePercentage": 5,
        "shiftPoint": 1,
        "withinRange": false,
        "anomalyDetectorDirection": "Both",
        "suppressCondition": {
          "minNumber": 1,
          "minRatio": 100
        }
      }
    },
    "dimensionGroupOverrideConfigurations": [
      {
        "group": {
          "dimension": {
            "city": "Beijing"
          }
        },
        "conditionOperator": "AND",
        "smartDetectionCondition": {
          "sensitivity": 91,
          "anomalyDetectorDirection": "Both",
          "suppressCondition": {
            "minNumber": 1,
            "minRatio": 100
          }
        },
        "hardThresholdCondition": {
          "lowerBound": 1,
          "upperBound": 100,
          "anomalyDetectorDirection": "Both",
          "suppressCondition": {
            "minNumber": 1,
            "minRatio": 100
          }
        },
        "changeThresholdCondition": {
          "changePercentage": 5,
          "shiftPoint": 1,
          "withinRange": false,
          "anomalyDetectorDirection": "Both",
          "suppressCondition": {
            "minNumber": 1,
            "minRatio": 100
          }
        }
      }
    ],
    "seriesOverrideConfigurations": [
      {
        "series": {
          "dimension": {
            "category": "Jewelry",
            "city": "Beijing"
          }
        },
        "conditionOperator": "AND",
        "smartDetectionCondition": {
          "sensitivity": 91,
          "anomalyDetectorDirection": "Both",
          "suppressCondition": {
            "minNumber": 1,
            "minRatio": 100
          }
        },
        "hardThresholdCondition": {
          "lowerBound": 1,
          "upperBound": 100,
          "anomalyDetectorDirection": "Both",
          "suppressCondition": {
            "minNumber": 1,
            "minRatio": 100
          }
        },
        "changeThresholdCondition": {
          "changePercentage": 5,
          "shiftPoint": 1,
          "withinRange": false,
          "anomalyDetectorDirection": "Both",
          "suppressCondition": {
            "minNumber": 1,
            "minRatio": 100
          }
        }
      }
    ]
  }
}

Response 500

Client error or server error (4xx or 5xx)

{
  "message": "string",
  "code": "string"
}
{
  "type": "object",
  "properties": {
    "message": {
      "type": "string"
    },
    "code": {
      "type": "string"
    }
  }
}

Code samples

@ECHO OFF

curl -v -X GET "https://*.cognitiveservices.azure.com/metricsadvisor/v1.0/enrichment/anomalyDetection/configurations/{configurationId}"
-H "Ocp-Apim-Subscription-Key: {subscription key}"

--data-ascii "{body}" 
using System;
using System.Net.Http.Headers;
using System.Text;
using System.Net.Http;
using System.Web;

namespace CSHttpClientSample
{
    static class Program
    {
        static void Main()
        {
            MakeRequest();
            Console.WriteLine("Hit ENTER to exit...");
            Console.ReadLine();
        }
        
        static async void MakeRequest()
        {
            var client = new HttpClient();
            var queryString = HttpUtility.ParseQueryString(string.Empty);

            // Request headers
            client.DefaultRequestHeaders.Add("Ocp-Apim-Subscription-Key", "{subscription key}");

            var uri = "https://*.cognitiveservices.azure.com/metricsadvisor/v1.0/enrichment/anomalyDetection/configurations/{configurationId}?" + queryString;

            var response = await client.GetAsync(uri);
        }
    }
}	
// // This sample uses the Apache HTTP client from HTTP Components (http://hc.apache.org/httpcomponents-client-ga/)
import java.net.URI;
import org.apache.http.HttpEntity;
import org.apache.http.HttpResponse;
import org.apache.http.client.HttpClient;
import org.apache.http.client.methods.HttpGet;
import org.apache.http.client.utils.URIBuilder;
import org.apache.http.impl.client.HttpClients;
import org.apache.http.util.EntityUtils;

public class JavaSample 
{
    public static void main(String[] args) 
    {
        HttpClient httpclient = HttpClients.createDefault();

        try
        {
            URIBuilder builder = new URIBuilder("https://*.cognitiveservices.azure.com/metricsadvisor/v1.0/enrichment/anomalyDetection/configurations/{configurationId}");


            URI uri = builder.build();
            HttpGet request = new HttpGet(uri);
            request.setHeader("Ocp-Apim-Subscription-Key", "{subscription key}");


            // Request body
            StringEntity reqEntity = new StringEntity("{body}");
            request.setEntity(reqEntity);

            HttpResponse response = httpclient.execute(request);
            HttpEntity entity = response.getEntity();

            if (entity != null) 
            {
                System.out.println(EntityUtils.toString(entity));
            }
        }
        catch (Exception e)
        {
            System.out.println(e.getMessage());
        }
    }
}

<!DOCTYPE html>
<html>
<head>
    <title>JSSample</title>
    <script src="http://ajax.googleapis.com/ajax/libs/jquery/1.9.0/jquery.min.js"></script>
</head>
<body>

<script type="text/javascript">
    $(function() {
        var params = {
            // Request parameters
        };
      
        $.ajax({
            url: "https://*.cognitiveservices.azure.com/metricsadvisor/v1.0/enrichment/anomalyDetection/configurations/{configurationId}?" + $.param(params),
            beforeSend: function(xhrObj){
                // Request headers
                xhrObj.setRequestHeader("Ocp-Apim-Subscription-Key","{subscription key}");
            },
            type: "GET",
            // Request body
            data: "{body}",
        })
        .done(function(data) {
            alert("success");
        })
        .fail(function() {
            alert("error");
        });
    });
</script>
</body>
</html>
#import <Foundation/Foundation.h>

int main(int argc, const char * argv[])
{
    NSAutoreleasePool * pool = [[NSAutoreleasePool alloc] init];
    
    NSString* path = @"https://*.cognitiveservices.azure.com/metricsadvisor/v1.0/enrichment/anomalyDetection/configurations/{configurationId}";
    NSArray* array = @[
                         // Request parameters
                         @"entities=true",
                      ];
    
    NSString* string = [array componentsJoinedByString:@"&"];
    path = [path stringByAppendingFormat:@"?%@", string];

    NSLog(@"%@", path);

    NSMutableURLRequest* _request = [NSMutableURLRequest requestWithURL:[NSURL URLWithString:path]];
    [_request setHTTPMethod:@"GET"];
    // Request headers
    [_request setValue:@"{subscription key}" forHTTPHeaderField:@"Ocp-Apim-Subscription-Key"];
    // Request body
    [_request setHTTPBody:[@"{body}" dataUsingEncoding:NSUTF8StringEncoding]];
    
    NSURLResponse *response = nil;
    NSError *error = nil;
    NSData* _connectionData = [NSURLConnection sendSynchronousRequest:_request returningResponse:&response error:&error];

    if (nil != error)
    {
        NSLog(@"Error: %@", error);
    }
    else
    {
        NSError* error = nil;
        NSMutableDictionary* json = nil;
        NSString* dataString = [[NSString alloc] initWithData:_connectionData encoding:NSUTF8StringEncoding];
        NSLog(@"%@", dataString);
        
        if (nil != _connectionData)
        {
            json = [NSJSONSerialization JSONObjectWithData:_connectionData options:NSJSONReadingMutableContainers error:&error];
        }
        
        if (error || !json)
        {
            NSLog(@"Could not parse loaded json with error:%@", error);
        }
        
        NSLog(@"%@", json);
        _connectionData = nil;
    }
    
    [pool drain];

    return 0;
}
<?php
// This sample uses the Apache HTTP client from HTTP Components (http://hc.apache.org/httpcomponents-client-ga/)
require_once 'HTTP/Request2.php';

$request = new Http_Request2('https://*.cognitiveservices.azure.com/metricsadvisor/v1.0/enrichment/anomalyDetection/configurations/{configurationId}');
$url = $request->getUrl();

$headers = array(
    // Request headers
    'Ocp-Apim-Subscription-Key' => '{subscription key}',
);

$request->setHeader($headers);

$parameters = array(
    // Request parameters
);

$url->setQueryVariables($parameters);

$request->setMethod(HTTP_Request2::METHOD_GET);

// Request body
$request->setBody("{body}");

try
{
    $response = $request->send();
    echo $response->getBody();
}
catch (HttpException $ex)
{
    echo $ex;
}

?>
########### Python 2.7 #############
import httplib, urllib, base64

headers = {
    # Request headers
    'Ocp-Apim-Subscription-Key': '{subscription key}',
}

params = urllib.urlencode({
})

try:
    conn = httplib.HTTPSConnection('*.cognitiveservices.azure.com')
    conn.request("GET", "/metricsadvisor/v1.0/enrichment/anomalyDetection/configurations/{configurationId}?%s" % params, "{body}", headers)
    response = conn.getresponse()
    data = response.read()
    print(data)
    conn.close()
except Exception as e:
    print("[Errno {0}] {1}".format(e.errno, e.strerror))

####################################

########### Python 3.2 #############
import http.client, urllib.request, urllib.parse, urllib.error, base64

headers = {
    # Request headers
    'Ocp-Apim-Subscription-Key': '{subscription key}',
}

params = urllib.parse.urlencode({
})

try:
    conn = http.client.HTTPSConnection('*.cognitiveservices.azure.com')
    conn.request("GET", "/metricsadvisor/v1.0/enrichment/anomalyDetection/configurations/{configurationId}?%s" % params, "{body}", headers)
    response = conn.getresponse()
    data = response.read()
    print(data)
    conn.close()
except Exception as e:
    print("[Errno {0}] {1}".format(e.errno, e.strerror))

####################################
require 'net/http'

uri = URI('https://*.cognitiveservices.azure.com/metricsadvisor/v1.0/enrichment/anomalyDetection/configurations/{configurationId}')
uri.query = URI.encode_www_form({
})

request = Net::HTTP::Get.new(uri.request_uri)
# Request headers
request['Ocp-Apim-Subscription-Key'] = '{subscription key}'
# Request body
request.body = "{body}"

response = Net::HTTP.start(uri.host, uri.port, :use_ssl => uri.scheme == 'https') do |http|
    http.request(request)
end

puts response.body