# Interval Analysis Model API

As for the call method, please refer to the call method description in Open API

You can read the interval analysis in the user manual to understand the usage scenario.

# Interval Analysis Query

Interface URL

/open/interval-analyze?token=xxx

Request method

POST

Content-Type

application/json

Request Query parameter

Parameter name	Sample value	Parameter type	Is required	Parameter description
token	xxx	String	Yes	token

# Request Body Parameter

{
  "eventView": {
    "endTime": "2021-10-05 23:59:59",
    "filts": [
      {
        "columnDesc": "brand",
        "columnName": "brand",
        "comparator": "equal",
        "filterType": "SIMPLE",
        "ftv": [
          "apple",
          "Huawei"
        ],
        "specifiedClusterDate": "2022-01-24",
        "tableType": "event",
        "timeUnit": ""
      }
    ],
    "groupBy": [
      {
        "columnDesc": "brand",
        "columnName": "brand",
        "propertyRange": "",
        "specifiedClusterDate": "2022-01-24",
        "tableType": "event"
      }
    ],
    "recentDay": "114-115",
    "relation": "and",
    "startTime": "2021-10-04 00:00:00",
    "taIdMeasureVo": {
      "columnDesc": "user only ID",
      "columnName": "#user_id",
      "tableType": "event"
    },
    "timeParticleSize": "day",
    "windowsGapUnit": "hour",
    "windowsGapValue": 1
  },
  "events": [
    {
      "eventName": "activity_attend",
      "eventNameDisplay": "",
      "filts": [
      ],
      "relation": "and",
      "relationProp": {
        "property": {
          "columnDesc": "brand",
          "columnName": "brand",
          "specifiedClusterDate": "2022-01-24",
          "tableType": "event"
        }
      },
      "type": "first"
    },
    {
      "eventName": "payment",
      "eventNameDisplay": "",
      "filts": [
      ],
      "relation": "and",
      "relationProp": {
        "property": {
          "columnDesc": "brand",
          "columnName": "brand",
          "specifiedClusterDate": "2022-01-24",
          "tableType": "event"
        },
        "relationOperatorValue": 0,
        "relationPropNumberOperator": "r_eq"
      },
      "type": "second"
    }
  ],
  "projectId": 377,
  "limit": 10,
  "timeoutSeconds": 10,
  "useCache": true
}

# Request Parameter Description

Parameter name	Sample value	Parameter type	Is required	Parameter description
eventView	-	Object	Yes	Metrics common attribute part
∟ endTime	2021-10-05 23:59:59	String	No	End time (format: yyyy-MM-dd HH: mm: ss), valid when the relative time is empty
∟ filts	-	List	No	Global filters parts
∟ columnDesc	Brand	String	No	Field display name
∟ columnName	brand	String	Yes	Field name
∟ comparator	equal	String	Yes	Reference: filtering expression of model query API
∟ filterType	SIMPLE	String	No	Filter mode, SIMPLE: simple, COMPOUND: composite
∟ ftv	["Apple"]	List	No	Property comparative with bound literial
∟ specifiedClusterDate	2022-01-24	String	No	Historical tag version of specified date
∟ tableType	event	String	Yes	Table type enumeration
∟ timeUnit		String	No	Property filter unit, only valid to relativeEvent*：day，hour，minute
∟ groupBy	-	List	No	Group attributes, can have zero or more
∟ columnDesc	Brand	String	No	Field display name
∟ columnName	brand	String	Yes	Field name
∟ propertyRange		String	No	Self-defined property interval
∟ specifiedClusterDate	2022-01-24	String	No	Historical tag version of specified date
∟ tableType	event	String	Yes	Table type enumeration
∟ recentDay	114-115	String	No	Relative time (this item cannot be empty at the same time as the start time and the end time)
∟ relation	and	String	No	Logical relationship, and: logical and, or: logical or
∟ startTime	2021-10-04 00:00:00	String	No	Start time (format: yyyy-MM-dd HH: mm: ss), valid when the relative time is empty
∟ taIdMeasureVo	-	Object	No	Query ID system configuration
∟ columnDesc	User unique ID	String	No	Field display name
∟ columnName	#user_id	String	Yes	Field name
∟ tableType	event	String	Yes	Table type enumeration
∟ timeParticleSize	day	String	Yes	Unit of the time period taken for analysis day: based on days week: based on weeks month: based on months total: total
∟ firstDayOfWeek		Integer	No	When timeParticleSize is week, specify the first day of the week, 1: Monday, 2: Tuesday,.., 7: Sunday, minimum 1, maximum 7
∟ windowsGapUnit	hour	String	No	Window duration unit
∟ windowsGapValue	1	Integer	No	Window duration
events	-	List	Yes	Event metric list
∟ eventName	activity_attend	String	Yes	The eventName the metric based on, "anyEvent" can be used to represent any event
∟ eventNameDisplay		String	No	Self-defined metric display name
∟ filts	-	List	No	List of conditions
∟ relation	and	String	No	Logical relationship, and: logical and, or: logical or
∟ relationProp	-	Object	No	Associated properties
∟ property	-	Object	No	Associated properties
∟ columnDesc	Brand	String	No	Field display name
∟ columnName	brand	String	Yes	Field name
∟ specifiedClusterDate	2022-01-24	String	No	Historical tag version of specified date
∟ tableType	event	String	No	Table type enumeration
∟ relationOperatorValue	0	Integer	No	Relational operation value
∟ relationPropNumberOperator	r_eq	String	No	Relational operator, r_eq: equal r_high：高 r_low：低
∟ type	first	String	Yes	Event type, first: initial event, second: return event
projectId	377	Integer	Yes	Project enumeric identity
limit	10	Integer	No	Maximum number of groups per analysis object, optional parameters, default is 1000, maximum is 10000
timeoutSeconds	10	Integer	No	Request timed out parameter, timeout cancels query task
useCache	true	Boolean	No	Use cache, optional parameter, default is true

# Successful Response Example

{
  "data": {
    "distributionInterval": [
      ",300",
      "300,600",
      "600,900",
      "900,1200",
      "1200,1500",
      "1500,1800",
      "1800,2100",
      "2100,2400",
      "2400,2700",
      "2700,3000",
      "3000,3300",
      "3300,"
    ],
    "groupCols": [
      [
        "Apple"
      ],
      [
        "Huawei"
      ]
    ],
    "intervalData": {
      "dateEntities": [
        {
          "dateString": "2021-10-04",
          "groupEntities": [
            {
              "groups": [
                "Apple"
              ],
              "intervalAggValue": {
                "avgValue": 40,
                "eventNum": 6646,
                "maxValue": 354,
                "midValue": 28,
                "minValue": 2,
                "quarterValue": 16,
                "threeQuarterValue": 49,
                "userNum": 838
              },
              "intervalDistributions": [
                {
                  "distribution": "300,600",
                  "intervalDistributionValue": {
                    "eventNum": 5,
                    "userNum": 5
                  }
                },
                {
                  "distribution": ",300",
                  "intervalDistributionValue": {
                    "eventNum": 6641,
                    "userNum": 838
                  }
                }
              ]
            },
            {
              "groups": [
                "Huawei"
              ],
              "intervalAggValue": {
                "avgValue": 39,
                "eventNum": 5439,
                "maxValue": 313,
                "midValue": 28,
                "minValue": 2,
                "quarterValue": 15,
                "threeQuarterValue": 50,
                "userNum": 683
              },
              "intervalDistributions": [
                {
                  "distribution": "300,600",
                  "intervalDistributionValue": {
                    "eventNum": 2,
                    "userNum": 2
                  }
                },
                {
                  "distribution": ",300",
                  "intervalDistributionValue": {
                    "eventNum": 5437,
                    "userNum": 683
                  }
                }
              ]
            }
          ],
          "intervalAggValue": {
            "avgValue": 39,
            "eventNum": 12085,
            "maxValue": 354,
            "midValue": 28,
            "minValue": 2,
            "quarterValue": 16,
            "threeQuarterValue": 49,
            "userNum": 1520
          },
          "intervalDistributions": [
            {
              "distribution": "300,600",
              "intervalDistributionValue": {
                "eventNum": 7,
                "userNum": 7
              }
            },
            {
              "distribution": ",300",
              "intervalDistributionValue": {
                "eventNum": 12078,
                "userNum": 1520
              }
            }
          ]
        },
        {
          "dateString": "2021-10-05",
          "groupEntities": [
            {
              "groups": [
                "Apple"
              ],
              "intervalAggValue": {
                "avgValue": 39,
                "eventNum": 5700,
                "maxValue": 303,
                "midValue": 28,
                "minValue": 2,
                "quarterValue": 16,
                "threeQuarterValue": 49,
                "userNum": 710
              },
              "intervalDistributions": [
                {
                  "distribution": "300,600",
                  "intervalDistributionValue": {
                    "eventNum": 1,
                    "userNum": 1
                  }
                },
                {
                  "distribution": ",300",
                  "intervalDistributionValue": {
                    "eventNum": 5699,
                    "userNum": 710
                  }
                }
              ]
            },
            {
              "groups": [
                "Huawei"
              ],
              "intervalAggValue": {
                "avgValue": 40,
                "eventNum": 4779,
                "maxValue": 374,
                "midValue": 28,
                "minValue": 2,
                "quarterValue": 15,
                "threeQuarterValue": 51,
                "userNum": 603
              },
              "intervalDistributions": [
                {
                  "distribution": "300,600",
                  "intervalDistributionValue": {
                    "eventNum": 3,
                    "userNum": 3
                  }
                },
                {
                  "distribution": ",300",
                  "intervalDistributionValue": {
                    "eventNum": 4776,
                    "userNum": 603
                  }
                }
              ]
            }
          ],
          "intervalAggValue": {
            "avgValue": 39,
            "eventNum": 10479,
            "maxValue": 374,
            "midValue": 28,
            "minValue": 2,
            "quarterValue": 16,
            "threeQuarterValue": 50,
            "userNum": 1313
          },
          "intervalDistributions": [
            {
              "distribution": "300,600",
              "intervalDistributionValue": {
                "eventNum": 4,
                "userNum": 4
              }
            },
            {
              "distribution": ",300",
              "intervalDistributionValue": {
                "eventNum": 10475,
                "userNum": 1313
              }
            }
          ]
        }
      ],
      "groupEntities": [
        {
          "groups": [
            "Apple"
          ],
          "intervalAggValue": {
            "avgValue": 39,
            "eventNum": 12346,
            "maxValue": 354,
            "midValue": 28,
            "minValue": 2,
            "quarterValue": 16,
            "threeQuarterValue": 49,
            "userNum": 1542
          },
          "intervalDistributions": [
            {
              "distribution": "300,600",
              "intervalDistributionValue": {
                "eventNum": 6,
                "userNum": 6
              }
            },
            {
              "distribution": ",300",
              "intervalDistributionValue": {
                "eventNum": 12340,
                "userNum": 1542
              }
            }
          ]
        },
        {
          "groups": [
            "Huawei"
          ],
          "intervalAggValue": {
            "avgValue": 39,
            "eventNum": 10218,
            "maxValue": 374,
            "midValue": 28,
            "minValue": 2,
            "quarterValue": 15,
            "threeQuarterValue": 50,
            "userNum": 1282
          },
          "intervalDistributions": [
            {
              "distribution": "300,600",
              "intervalDistributionValue": {
                "eventNum": 5,
                "userNum": 5
              }
            },
            {
              "distribution": ",300",
              "intervalDistributionValue": {
                "eventNum": 10213,
                "userNum": 1282
              }
            }
          ]
        }
      ],
      "intervalAggValue": {
        "avgValue": 39,
        "eventNum": 22564,
        "maxValue": 374,
        "midValue": 28,
        "minValue": 2,
        "quarterValue": 16,
        "threeQuarterValue": 49,
        "userNum": 2817
      },
      "intervalDistributions": [
        {
          "distribution": "300,600",
          "intervalDistributionValue": {
            "eventNum": 11,
            "userNum": 11
          }
        },
        {
          "distribution": ",300",
          "intervalDistributionValue": {
            "eventNum": 22553,
            "userNum": 2817
          }
        }
      ]
    },
    "intervalType": "def",
    "timeArray": [
      "2021-10-04",
      "2021-10-05"
    ]
  },
  "return_code": 0,
  "return_message": "success"
}

# Response Parameter Description

Parameter name	Sample value	Parameter type	Parameter description
return_code	0	Integer	Return code
return_message	success	String	Return information
data	-	Object	Return result
∟ distributionInterval	[",300","300,"]	List	Distribution interval
∟ groupCols	[["Apple"], ["Huawei"]]	List	Group
∟ intervalData	-	Object	Date data
∟ dateEntities	-	List	Date List
∟ dateString	2021-10-04	String	Date
∟ groupEntities	-	List	Group List
∟ groups	["Apple"]	List	Group value list
∟ intervalAggValue	-	Object	Aggregate value
∟ avgValue	39	Long	Average
∟ eventNum	22564	Long	Number of events
∟ maxValue	374	Long	Maximum
∟ midValue	28	Long	Median
∟ minValue	2	Long	Minimum
∟ quarterValue	16	Long	Upper quartile
∟ threeQuarterValue	49	Long	Lower quartile
∟ userNum	2817	Long	Number of users
∟ intervalDistributions	-	List	List of distribution intervals
∟ distribution	300,600	String	Distribution interval
∟ intervalDistributionValue	-	Object	Distribution interval value
∟ eventNum	11	Long	Number of events
∟ userNum	11	Long	Number of users
∟ intervalType	def	String	Type Discrete number Def: default interval user_defined: User-defined
∟ timeArray	["2021-10-04"]	List	Event list

Error Response Example

{
    "return_code": -1008,
    "return_message": "The parameter (token) is empty"
}

Parameter name	Sample value	Parameter type	Parameter description
return_code	-1008	Integer	Return code
return_message	The parameter (token) is empty	String	Return information

# Interval Analysis Full Data Download

Interface URL

/open/streaming-download/interval-analyze?token=xxx

Request method

POST

Content-Type

application/json

Request Query Parameter

Parameter name	Sample value	Parameter type	Mandatory or not	Parameter description
token	xxx	String	Yes	Query key

# Request Body parameter

{
        "eventView": {
                "endTime": "2022-03-07 17:17:04",
                "filts": [],
                "groupBy": [],
                "recentDay": "1-7",
                "relation": "and",
                "startTime": "2022-03-01 17:17:04",
                "taIdMeasureVo": {
                        "columnDesc": "User ID",
                        "columnName": "#user_id",
                        "tableType": "event"
                },
                "timeParticleSize": "day",
                "windowsGapUnit": "hour",
                "windowsGapValue": 1
        },
        "events": [{
                "eventName": "Login",
                "eventNameDisplay": "",
                "filts": [],
                "relation": "and",
                "type": "first"
        }, {
                "eventName": "Recharge",
                "eventNameDisplay": "",
                "filts": [],
                "relation": "and",
                "type": "second"
        }],
        "projectId": 319,
        "format": "AGG_TABLE"
}

# Request Parameter Description

参数名	示例值	参数类型	是否必填	参数描述
eventView	-	Object	Yes	Same parameters as Distribution Analysis Query interface
events	-	List	Yes	Same parameters as Distribution Analysis Query interface
projectId	377	Integer	Yes	Project numeric identity
format	AGG_TABLE	String	Yes	AGG_TABLE : conversion, DISTRIBUTION_TABLE: conversion distribution
interval	[1]	array	No	Full Metric Interval Range

# Response

Same with the full data download of the interval analysis of the TE system

# Interval Analysis User List

Interface URL

/open/interval-user-list?token=xxx

Request method

POST

Content-Type

application/json

Request Query Parameter

Parameter name	Sample value	Parameter type	Is required	Parameter description
token	xxx	String	Yes	token

# Request Body Parameter

{
  "eventView": {
    "endTime": "2021-10-05 23:59:59",
    "filts": [
      {
        "columnDesc": "brand",
        "columnName": "brand",
        "comparator": "equal",
        "filterType": "SIMPLE",
        "ftv": [
          "Apple",
          "Huawei"
        ],
        "specifiedClusterDate": "2022-01-24",
        "tableType": "event",
        "timeUnit": ""
      }
    ],
    "groupBy": [
      {
        "columnDesc": "brand",
        "columnName": "brand",
        "propertyRange": "",
        "specifiedClusterDate": "2022-01-24",
        "tableType": "event"
      }
    ],
    "recentDay": "114-115",
    "relation": "and",
    "startTime": "2021-10-04 00:00:00",
    "taIdMeasureVo": {
      "columnDesc": "user only ID"
      "columnName": "#user_id",
      "tableType": "event"
    },
    "timeParticleSize": "day",
    "windowsGapUnit": "hour",
    "windowsGapValue": 1
  },
  "events": [
    {
      "eventName": "activity_attend",
      "eventNameDisplay": "",
      "filts": [
      ],
      "relation": "and",
      "relationProp": {
        "property": {
          "columnDesc": "brand",
          "columnName": "brand",
          "specifiedClusterDate": "2022-01-24",
          "tableType": "event"
        }
      },
      "type": "first"
    },
    {
      "eventName": "payment",
      "eventNameDisplay": "",
      "filts": [
      ],
      "relation": "and",
      "relationProp": {
        "property": {
          "columnDesc": "brand",
          "columnName": "brand",
          "specifiedClusterDate": "2022-01-24",
          "tableType": "event"
        },
        "relationOperatorValue": 0,
        "relationPropNumberOperator": "r_eq"
      },
      "type": "second"
    }
  ],
  "projectId": 377,
  "timeoutSeconds": 10,
  "interval": "2,3",
  "sliceDate": "",
  "sliceGroupVal": ["Apple", "Huawei"]
}

# Request Parameter Description

Parameter name	Sample value	Parameter type	Is required	Parameter description
eventView	-	Object	Yes	Same parameters as Interval Analysis Query interface
events	-	List	Yes	Same parameters as Interval Analysis Query interface
projectId	377	Integer	Yes	Project enumric identity
interval	2,3	String	No	Go to detail by which metric interval
sliceDate		String	No	Go to detail by which date
sliceGroupVal	["Apple", "Huawei"]	List	No	Go to detail by which group
timeoutSeconds	10	Integer	No	Request timed out parameter, timeout cancels query task

# Successful Response Example

{
  "data": {
    "columMeta": {
      "country": "country",
      "education": "education",
      "birthdate": "birthdate",
      "gender": "gender",
      "last_login_time": "last_login_time",
      "city": "city",
      "nation": "nation",
      "channel": "channel",
      "weight": "weight（KG）",
      "#distinct_id": "visitor ID",
      "firstcharge": "firstcharge",
      "register_time": "register_time",
      "#account_id": "account ID",
      "companynature": "companynature",
      "accountbalance": "accountbalance",
      "maritalstatus": "maritalstatus",
      "interest": "interest",
      "name": "name",
      "accountpoint": "accountpoint",
      "rank": "rank",
      "first_login_time": "first_login_time",
      "email": "email",
      "height": "height（CM）"
    },
    "datalist": [
      {
        "country": "China",
        "birthdate": "2013-05-21",
        "education": "college"
        "last_login_time": "2021-12-04 02:18:46.111",
        "gender": "male",
        "city": "Shanghai",
        "nation": "Han",
        "#user_id": 795692987887919100,
        "channel": "Wechat",
        "weight": "125",
        "#distinct_id": "5694fdd8-e1dc-4459-97dd-33b10df01400",
        "firstcharge": false,
        "register_time": "2021-10-06 00:00:23.000",
        "#account_id": "b406f8a7-424d-4909-a08a-7b00191b7493",
        "companynature": "state-own company",
        "accountbalance": "42606",
        "maritalstatus": "single",
        "interest": [
          "travel",
          "sport",
          "sport"
        ],
        "accountpoint": "81910",
        "name": "UaLEhzdn",
        "rank": "gold",
        "first_login_time": "2021-10-06 00:01:56.000",
        "email": "ElqqXwdL@thinkingdata.cn",
        "height": "174"
      },
      {
        "country": "China",
        "birthdate": "1964-12-26",
        "education": "college",
        "last_login_time": "2021-10-05 00:02:35.000",
        "gender": "male",
        "city": "Shanghai",
        "nation": "Han",
        "#user_id": 795692395992715300,
        "channel": "offcial site",
        "weight": "197",
        "#distinct_id": "5caf9f1a-3253-4279-9723-49c950a48020",
        "firstcharge": true,
        "register_time": "2021-10-05 00:00:30.000",
        "#account_id": "cb6ab625-f45d-4977-bbae-973ead82acba",
        "companynature": "Foreign enterprise",
        "accountbalance": "49013",
        "maritalstatus": "single",
        "interest": [
          "sport",
          "sing",
          "sport"
        ]
    ],
    "totalNum": 2
  },
  "return_code": 0,
  "return_message": "success"
}

# Response Parameter Description

Parameter name	Sample value	Parameter type	Parameter description
return_code	0	Integer	Return code
return_message	success	String	Return information
data	-	Object	Return result
∟ datalist	-	List	User Information
∟ columMeta	-	Map	Field meaning mapping
∟ totalNum	2	Integer	Total

Error Response Example

{
    "return_code": -1008,
    "return_message": "The parameter (token) is empty"
}

Parameter name	Sample value	Parameter type	Parameter description
return_code	-1008	Integer	Return code
return_message	The parameter (token) is empty	String	Return information

# Download of Interval Analysis User List

Interface URL

/open/streaming-download/interval-user-list?token=xxx

Request method

POST

Content-Type

application/json

Request Query parameters

Parameter name	Sample value	Parameter type	Mandatory or not	Parameter description
token	xxx	String	Yes	Query key

# Request Body Parameters

{
        "eventView": {
                "endTime": "2022-03-07 17:17:04",
                "filts": [],
                "groupBy": [],
                "recentDay": "1-7",
                "relation": "and",
                "startTime": "2022-03-01 17:17:04",
                "taIdMeasureVo": {
                        "columnDesc": "User ID",
                        "columnName": "#user_id",
                        "tableType": "event"
                },
                "timeParticleSize": "day",
                "windowsGapUnit": "hour",
                "windowsGapValue": 1
        },
        "events": [{
                "eventName": "Login",
                "eventNameDisplay": "",
                "filts": [],
                "relation": "and",
                "type": "first"
        }, {
                "eventName": "Recharge",
                "eventNameDisplay": "",
                "filts": [],
                "relation": "and",
                "type": "second"
        }],
        "projectId": 319,
        "sliceGroupVal": null,
        "sliceDate": "2022-03-01",
        "selectedColumns": ["#account_id", "#distinct_id", "accountid"]
}

# Request Parameter Description

参数名	示例值	参数类型	是否必填	参数描述
eventView	-	Object	是	Same parameters as Interval Analysis Query interface
events	-	List	是	Same parameters as Interval Analysis Query interface
projectId	377	Integer	是	Project enumric identity
interval	2,3	String		Go to detail by which metric interval
sliceDate	2021-10-21	String	否	Go to detail by which date
sliceGroupVal	["Apple", "Huawei"]	List	否	Go to detail by which group
selectedColumns	["#account_id"]	array	是	The columns to be downloaded

# Response

Same with the download of the interval analysis user list of the TE system.

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