Back to Collection Items
func chilkatTest() {
// This example assumes the Chilkat API to have been previously unlocked.
// See Global Unlock Sample for sample code.
let http = CkoHttp()
var success: Bool
let queryParams = CkoJsonObject()
queryParams.UpdateString("query", value: "tempor Ut sed velit")
queryParams.UpdateInt("page[size]", value: -62147425)
queryParams.UpdateInt("page[number]", value: -62147425)
queryParams.UpdateString("include_facets", value: "true")
http.SetRequestHeader("Accept", value: "application/json")
var resp: CkoHttpResponse? = http.QuickRequestParams("GET", url: "https://api.app.ddog-gov.com/api/v1/slo/search", json: queryParams)
if http.LastMethodSuccess == false {
print("\(http.LastErrorText)")
return
}
let sbResponseBody = CkoStringBuilder()
resp!.GetBodySb(sbResponseBody)
let jResp = CkoJsonObject()
jResp.LoadSb(sbResponseBody)
jResp.EmitCompact = false
print("Response Body:")
print("\(jResp.Emit())")
var respStatusCode: Int = resp!.StatusCode.intValue
print("Response Status Code = \(respStatusCode)")
if respStatusCode >= 400 {
print("Response Header:")
print("\(resp!.Header)")
print("Failed.")
resp = nil
return
}
resp = nil
// Sample JSON response:
// (Sample code for parsing the JSON response is shown below)
// {
// "data": {
// "attributes": {
// "facets": {
// "all_tags": [
// {
// "count": -8530751,
// "name": "est cillum id ex"
// },
// {
// "count": 20390494,
// "name": "adipisicing minim quis velit dolore"
// }
// ],
// "creator_name": [
// {
// "count": 77247452,
// "name": "cupidatat elit eu id aute"
// },
// {
// "count": -77371710,
// "name": "dolore"
// }
// ],
// "env_tags": [
// {
// "count": -42199690,
// "name": "dolor eiusmod"
// },
// {
// "count": -60615528,
// "name": "commodo mollit"
// }
// ],
// "service_tags": [
// {
// "count": 49217615,
// "name": "aute cupidatat"
// },
// {
// "count": 77659232,
// "name": "est Ut aute"
// }
// ],
// "slo_type": [
// {
// "count": 55153641,
// "name": 41482978.922150195
// },
// {
// "count": 11427450,
// "name": 85748817.01266047
// }
// ],
// "target": [
// {
// "count": 96778717,
// "name": -37511597.68983867
// },
// {
// "count": 15549994,
// "name": 30406993.57594505
// }
// ],
// "team_tags": [
// {
// "count": -61109884,
// "name": "laborum ex esse proident"
// },
// {
// "count": 68412080,
// "name": "nisi qui cillum exercitation"
// }
// ],
// "timeframe": [
// {
// "count": -21958451,
// "name": "fugiat"
// },
// {
// "count": 12824105,
// "name": "tempor adipisi"
// }
// ]
// },
// "slos": [
// {
// "data": {
// "attributes": {
// "all_tags": [
// "env:prod",
// "app:core"
// ],
// "created_at": 2857983,
// "creator": {
// "email": "non Lorem",
// "id": 39288042,
// "name": "voluptate"
// },
// "description": "fugiat sit in quis",
// "env_tags": [
// "irure tempor",
// "laborum reprehenderi"
// ],
// "groups": [
// "env:prod",
// "role:mysql"
// ],
// "modified_at": -85796945,
// "monitor_ids": [
// 99205206,
// 23793820
// ],
// "name": "Custom Metric SLO",
// "overall_status": [
// {
// "error": "occaecat dolore",
// "error_budget_remaining": 100,
// "indexed_at": 1662496260,
// "raw_error_budget_remaining": {
// "unit": "requests",
// "value": 60
// },
// "span_precision": 2,
// "state": "ok",
// "status": 100,
// "target": 99,
// "timeframe": "30d"
// },
// {
// "error": "in officia",
// "error_budget_remaining": 100,
// "indexed_at": 1662496260,
// "raw_error_budget_remaining": {
// "unit": "requests",
// "value": 60
// },
// "span_precision": 2,
// "state": "ok",
// "status": 100,
// "target": 99,
// "timeframe": "30d"
// }
// ],
// "query": {
// "denominator": "sum:my.custom.metric{*}.as_count()",
// "metrics": [
// "my.custom.metric",
// "my.other.custom.metric"
// ],
// "numerator": "sum:my.custom.metric{type:good}.as_count()"
// },
// "service_tags": [
// "aute amet dolor pariatur mollit",
// "officia"
// ],
// "slo_type": "metric",
// "status": {
// "calculation_error": "qui",
// "error_budget_remaining": 100,
// "indexed_at": 1662496260,
// "raw_error_budget_remaining": {
// "unit": "requests",
// "value": 60
// },
// "sli": 100,
// "span_precision": 2,
// "state": "ok"
// },
// "team_tags": [
// "quis veniam magna",
// "ad"
// ],
// "thresholds": [
// {
// "target": 95,
// "target_display": "95",
// "timeframe": "7d"
// },
// {
// "target": 95,
// "target_display": "95",
// "timeframe": "30d",
// "warning": 97,
// "warning_display": "97"
// }
// ]
// },
// "id": "sed fugiat est cillum",
// "type": "mollit dolore"
// }
// },
// {
// "data": {
// "attributes": {
// "all_tags": [
// "env:prod",
// "app:core"
// ],
// "created_at": -97407922,
// "creator": {
// "email": "in nulla",
// "id": -4202515,
// "name": "elit et consequat"
// },
// "description": "dolor sed cupidatat pariatur sint",
// "env_tags": [
// "magna ex pariatur dolore sed",
// "velit dolor aute in nostrud"
// ],
// "groups": [
// "env:prod",
// "role:mysql"
// ],
// "modified_at": -32142227,
// "monitor_ids": [
// 83809238,
// -63596037
// ],
// "name": "Custom Metric SLO",
// "overall_status": [
// {
// "error": "reprehenderit cupidat",
// "error_budget_remaining": 100,
// "indexed_at": 1662496260,
// "raw_error_budget_remaining": {
// "unit": "requests",
// "value": 60
// },
// "span_precision": 2,
// "state": "ok",
// "status": 100,
// "target": 99,
// "timeframe": "30d"
// },
// {
// "error": "consequat",
// "error_budget_remaining": 100,
// "indexed_at": 1662496260,
// "raw_error_budget_remaining": {
// "unit": "requests",
// "value": 60
// },
// "span_precision": 2,
// "state": "ok",
// "status": 100,
// "target": 99,
// "timeframe": "30d"
// }
// ],
// "query": {
// "denominator": "sum:my.custom.metric{*}.as_count()",
// "metrics": [
// "my.custom.metric",
// "my.other.custom.metric"
// ],
// "numerator": "sum:my.custom.metric{type:good}.as_count()"
// },
// "service_tags": [
// "magna velit",
// "occaecat tempor proident ex ea"
// ],
// "slo_type": "metric",
// "status": {
// "calculation_error": "in occaecat e",
// "error_budget_remaining": 100,
// "indexed_at": 1662496260,
// "raw_error_budget_remaining": {
// "unit": "requests",
// "value": 60
// },
// "sli": 100,
// "span_precision": 2,
// "state": "ok"
// },
// "team_tags": [
// "Ut nisi ipsum fugiat",
// "exercitation proident consequat aute"
// ],
// "thresholds": [
// {
// "target": 95,
// "target_display": "95",
// "timeframe": "7d"
// },
// {
// "target": 95,
// "target_display": "95",
// "timeframe": "30d",
// "warning": 97,
// "warning_display": "97"
// }
// ]
// },
// "id": "et sit commodo",
// "type": "Lorem ut quis"
// }
// }
// ]
// },
// "type": ""
// },
// "links": {
// "first": "voluptate veniam aliqua ea enim",
// "last": "non cupidatat amet dolore et",
// "next": "reprehenderit ex anim Lorem",
// "prev": "aute ex",
// "self": "deserunt"
// },
// "meta": {
// "pagination": {
// "first_number": 71439942,
// "last_number": -13516974,
// "next_number": -42474877,
// "number": 60934593,
// "prev_number": -25990176,
// "size": -54076764,
// "total": 58951452,
// "type": "deserunt et voluptate"
// }
// }
// }
// Sample code for parsing the JSON response...
// Use this online tool to generate parsing code from sample JSON: Generate JSON Parsing Code
var count: Int
var name: String?
var Created_at: Int
var v_Email: String?
var Id: Int
var Name: String?
var Description: String?
var Modified_at: Int
var AttributesName: String?
var Denominator: String?
var Numerator: String?
var Slo_type: String?
var Calculation_error: String?
var Error_budget_remaining: Int
var Indexed_at: Int
var Unit: String?
var Value: Int
var Sli: Int
var Span_precision: Int
var State: String?
var dataId: String?
var dataType: String?
var j: Int
var count_j: Int
var strVal: String?
var intVal: Int
var error: String?
var error_budget_remaining: Int
var indexed_at: Int
var raw_error_budget_remainingUnit: String?
var raw_error_budget_remainingValue: Int
var span_precision: Int
var state: String?
var status: Int
var target: Int
var timeframe: String?
var target_display: String?
var warning: Int
var warning_display: String?
var v_Type: String? = jResp.StringOf("data.type")
var First: String? = jResp.StringOf("links.first")
var Last: String? = jResp.StringOf("links.last")
var v_Next: String? = jResp.StringOf("links.next")
var Prev: String? = jResp.StringOf("links.prev")
var v_Self: String? = jResp.StringOf("links.self")
var First_number: Int = jResp.IntOf("meta.pagination.first_number").intValue
var Last_number: Int = jResp.IntOf("meta.pagination.last_number").intValue
var Next_number: Int = jResp.IntOf("meta.pagination.next_number").intValue
var v_Number: Int = jResp.IntOf("meta.pagination.number").intValue
var Prev_number: Int = jResp.IntOf("meta.pagination.prev_number").intValue
var Size: Int = jResp.IntOf("meta.pagination.size").intValue
var Total: Int = jResp.IntOf("meta.pagination.total").intValue
var PaginationType: String? = jResp.StringOf("meta.pagination.type")
var i: Int = 0
var count_i: Int = jResp.SizeOfArray("data.attributes.facets.all_tags").intValue
while i < count_i {
jResp.I = i
count = jResp.IntOf("data.attributes.facets.all_tags[i].count").intValue
name = jResp.StringOf("data.attributes.facets.all_tags[i].name")
i = i + 1
}
i = 0
count_i = jResp.SizeOfArray("data.attributes.facets.creator_name").intValue
while i < count_i {
jResp.I = i
count = jResp.IntOf("data.attributes.facets.creator_name[i].count").intValue
name = jResp.StringOf("data.attributes.facets.creator_name[i].name")
i = i + 1
}
i = 0
count_i = jResp.SizeOfArray("data.attributes.facets.env_tags").intValue
while i < count_i {
jResp.I = i
count = jResp.IntOf("data.attributes.facets.env_tags[i].count").intValue
name = jResp.StringOf("data.attributes.facets.env_tags[i].name")
i = i + 1
}
i = 0
count_i = jResp.SizeOfArray("data.attributes.facets.service_tags").intValue
while i < count_i {
jResp.I = i
count = jResp.IntOf("data.attributes.facets.service_tags[i].count").intValue
name = jResp.StringOf("data.attributes.facets.service_tags[i].name")
i = i + 1
}
i = 0
count_i = jResp.SizeOfArray("data.attributes.facets.slo_type").intValue
while i < count_i {
jResp.I = i
count = jResp.IntOf("data.attributes.facets.slo_type[i].count").intValue
name = jResp.StringOf("data.attributes.facets.slo_type[i].name")
i = i + 1
}
i = 0
count_i = jResp.SizeOfArray("data.attributes.facets.target").intValue
while i < count_i {
jResp.I = i
count = jResp.IntOf("data.attributes.facets.target[i].count").intValue
name = jResp.StringOf("data.attributes.facets.target[i].name")
i = i + 1
}
i = 0
count_i = jResp.SizeOfArray("data.attributes.facets.team_tags").intValue
while i < count_i {
jResp.I = i
count = jResp.IntOf("data.attributes.facets.team_tags[i].count").intValue
name = jResp.StringOf("data.attributes.facets.team_tags[i].name")
i = i + 1
}
i = 0
count_i = jResp.SizeOfArray("data.attributes.facets.timeframe").intValue
while i < count_i {
jResp.I = i
count = jResp.IntOf("data.attributes.facets.timeframe[i].count").intValue
name = jResp.StringOf("data.attributes.facets.timeframe[i].name")
i = i + 1
}
i = 0
count_i = jResp.SizeOfArray("data.attributes.slos").intValue
while i < count_i {
jResp.I = i
Created_at = jResp.IntOf("data.attributes.slos[i].data.attributes.created_at").intValue
v_Email = jResp.StringOf("data.attributes.slos[i].data.attributes.creator.email")
Id = jResp.IntOf("data.attributes.slos[i].data.attributes.creator.id").intValue
Name = jResp.StringOf("data.attributes.slos[i].data.attributes.creator.name")
Description = jResp.StringOf("data.attributes.slos[i].data.attributes.description")
Modified_at = jResp.IntOf("data.attributes.slos[i].data.attributes.modified_at").intValue
AttributesName = jResp.StringOf("data.attributes.slos[i].data.attributes.name")
Denominator = jResp.StringOf("data.attributes.slos[i].data.attributes.query.denominator")
Numerator = jResp.StringOf("data.attributes.slos[i].data.attributes.query.numerator")
Slo_type = jResp.StringOf("data.attributes.slos[i].data.attributes.slo_type")
Calculation_error = jResp.StringOf("data.attributes.slos[i].data.attributes.status.calculation_error")
Error_budget_remaining = jResp.IntOf("data.attributes.slos[i].data.attributes.status.error_budget_remaining").intValue
Indexed_at = jResp.IntOf("data.attributes.slos[i].data.attributes.status.indexed_at").intValue
Unit = jResp.StringOf("data.attributes.slos[i].data.attributes.status.raw_error_budget_remaining.unit")
Value = jResp.IntOf("data.attributes.slos[i].data.attributes.status.raw_error_budget_remaining.value").intValue
Sli = jResp.IntOf("data.attributes.slos[i].data.attributes.status.sli").intValue
Span_precision = jResp.IntOf("data.attributes.slos[i].data.attributes.status.span_precision").intValue
State = jResp.StringOf("data.attributes.slos[i].data.attributes.status.state")
dataId = jResp.StringOf("data.attributes.slos[i].data.id")
dataType = jResp.StringOf("data.attributes.slos[i].data.type")
j = 0
count_j = jResp.SizeOfArray("data.attributes.slos[i].data.attributes.all_tags").intValue
while j < count_j {
jResp.J = j
strVal = jResp.StringOf("data.attributes.slos[i].data.attributes.all_tags[j]")
j = j + 1
}
j = 0
count_j = jResp.SizeOfArray("data.attributes.slos[i].data.attributes.env_tags").intValue
while j < count_j {
jResp.J = j
strVal = jResp.StringOf("data.attributes.slos[i].data.attributes.env_tags[j]")
j = j + 1
}
j = 0
count_j = jResp.SizeOfArray("data.attributes.slos[i].data.attributes.groups").intValue
while j < count_j {
jResp.J = j
strVal = jResp.StringOf("data.attributes.slos[i].data.attributes.groups[j]")
j = j + 1
}
j = 0
count_j = jResp.SizeOfArray("data.attributes.slos[i].data.attributes.monitor_ids").intValue
while j < count_j {
jResp.J = j
intVal = jResp.IntOf("data.attributes.slos[i].data.attributes.monitor_ids[j]").intValue
j = j + 1
}
j = 0
count_j = jResp.SizeOfArray("data.attributes.slos[i].data.attributes.overall_status").intValue
while j < count_j {
jResp.J = j
error = jResp.StringOf("data.attributes.slos[i].data.attributes.overall_status[j].error")
error_budget_remaining = jResp.IntOf("data.attributes.slos[i].data.attributes.overall_status[j].error_budget_remaining").intValue
indexed_at = jResp.IntOf("data.attributes.slos[i].data.attributes.overall_status[j].indexed_at").intValue
raw_error_budget_remainingUnit = jResp.StringOf("data.attributes.slos[i].data.attributes.overall_status[j].raw_error_budget_remaining.unit")
raw_error_budget_remainingValue = jResp.IntOf("data.attributes.slos[i].data.attributes.overall_status[j].raw_error_budget_remaining.value").intValue
span_precision = jResp.IntOf("data.attributes.slos[i].data.attributes.overall_status[j].span_precision").intValue
state = jResp.StringOf("data.attributes.slos[i].data.attributes.overall_status[j].state")
status = jResp.IntOf("data.attributes.slos[i].data.attributes.overall_status[j].status").intValue
target = jResp.IntOf("data.attributes.slos[i].data.attributes.overall_status[j].target").intValue
timeframe = jResp.StringOf("data.attributes.slos[i].data.attributes.overall_status[j].timeframe")
j = j + 1
}
j = 0
count_j = jResp.SizeOfArray("data.attributes.slos[i].data.attributes.query.metrics").intValue
while j < count_j {
jResp.J = j
strVal = jResp.StringOf("data.attributes.slos[i].data.attributes.query.metrics[j]")
j = j + 1
}
j = 0
count_j = jResp.SizeOfArray("data.attributes.slos[i].data.attributes.service_tags").intValue
while j < count_j {
jResp.J = j
strVal = jResp.StringOf("data.attributes.slos[i].data.attributes.service_tags[j]")
j = j + 1
}
j = 0
count_j = jResp.SizeOfArray("data.attributes.slos[i].data.attributes.team_tags").intValue
while j < count_j {
jResp.J = j
strVal = jResp.StringOf("data.attributes.slos[i].data.attributes.team_tags[j]")
j = j + 1
}
j = 0
count_j = jResp.SizeOfArray("data.attributes.slos[i].data.attributes.thresholds").intValue
while j < count_j {
jResp.J = j
target = jResp.IntOf("data.attributes.slos[i].data.attributes.thresholds[j].target").intValue
target_display = jResp.StringOf("data.attributes.slos[i].data.attributes.thresholds[j].target_display")
timeframe = jResp.StringOf("data.attributes.slos[i].data.attributes.thresholds[j].timeframe")
warning = jResp.IntOf("data.attributes.slos[i].data.attributes.thresholds[j].warning").intValue
warning_display = jResp.StringOf("data.attributes.slos[i].data.attributes.thresholds[j].warning_display")
j = j + 1
}
i = i + 1
}
}
Curl Command
curl -G -d "query=tempor%20Ut%20sed%20velit"
-d "page[size]=-62147425"
-d "page[number]=-62147425"
-d "include_facets=true"
-H "Accept: application/json"
https://api.app.ddog-gov.com/api/v1/slo/search
Postman Collection Item JSON
{
"name": "Search for SLOs",
"request": {
"method": "GET",
"header": [
{
"key": "Accept",
"value": "application/json"
}
],
"url": {
"raw": "{{baseUrl}}/api/v1/slo/search?query=tempor Ut sed velit&page[size]=-62147425&page[number]=-62147425&include_facets=true",
"host": [
"{{baseUrl}}"
],
"path": [
"api",
"v1",
"slo",
"search"
],
"query": [
{
"key": "query",
"value": "tempor Ut sed velit",
"description": "The query string to filter results based on SLO names.\nSome examples of queries include `service:<service-name>`\nand `<slo-name>`."
},
{
"key": "page[size]",
"value": "-62147425",
"description": "The number of files to return in the response `[default=10]`."
},
{
"key": "page[number]",
"value": "-62147425",
"description": "The identifier of the first page to return. This parameter is used for the pagination feature `[default=0]`."
},
{
"key": "include_facets",
"value": "true",
"description": "Whether or not to return facet information in the response `[default=false]`."
}
]
},
"description": "Get a list of service level objective objects for your organization."
},
"response": [
{
"name": "OK",
"originalRequest": {
"method": "GET",
"header": [
{
"key": "Accept",
"value": "application/json"
},
{
"description": "Added as a part of security scheme: apikey",
"key": "DD-API-KEY",
"value": "<API Key>"
}
],
"url": {
"raw": "{{baseUrl}}/api/v1/slo/search?query=tempor Ut sed velit&page[size]=-62147425&page[number]=-62147425&include_facets=true",
"host": [
"{{baseUrl}}"
],
"path": [
"api",
"v1",
"slo",
"search"
],
"query": [
{
"key": "query",
"value": "tempor Ut sed velit",
"description": "The query string to filter results based on SLO names.\nSome examples of queries include `service:<service-name>`\nand `<slo-name>`."
},
{
"key": "page[size]",
"value": "-62147425",
"description": "The number of files to return in the response `[default=10]`."
},
{
"key": "page[number]",
"value": "-62147425",
"description": "The identifier of the first page to return. This parameter is used for the pagination feature `[default=0]`."
},
{
"key": "include_facets",
"value": "true",
"description": "Whether or not to return facet information in the response `[default=false]`."
}
]
}
},
"status": "OK",
"code": 200,
"_postman_previewlanguage": "json",
"header": [
{
"key": "Content-Type",
"value": "application/json"
}
],
"cookie": [
],
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{
"name": "Bad Request",
"originalRequest": {
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{
"key": "Accept",
"value": "application/json"
},
{
"description": "Added as a part of security scheme: apikey",
"key": "DD-API-KEY",
"value": "<API Key>"
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"url": {
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"host": [
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},
{
"key": "page[size]",
"value": "-62147425",
"description": "The number of files to return in the response `[default=10]`."
},
{
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"value": "-62147425",
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},
{
"key": "include_facets",
"value": "true",
"description": "Whether or not to return facet information in the response `[default=false]`."
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}
},
"status": "Bad Request",
"code": 400,
"_postman_previewlanguage": "json",
"header": [
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"cookie": [
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"body": "{\n \"errors\": [\n \"Bad Request\",\n \"Bad Request\"\n ]\n}"
},
{
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"originalRequest": {
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},
{
"description": "Added as a part of security scheme: apikey",
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"value": "<API Key>"
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},
{
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},
"status": "Forbidden",
"code": 403,
"_postman_previewlanguage": "json",
"header": [
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],
"cookie": [
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"body": "{\n \"errors\": [\n \"Bad Request\",\n \"Bad Request\"\n ]\n}"
},
{
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"originalRequest": {
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"header": [
{
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"value": "application/json"
},
{
"description": "Added as a part of security scheme: apikey",
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"_postman_previewlanguage": "json",
"header": [
{
"key": "Content-Type",
"value": "application/json"
}
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"cookie": [
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"body": "{\n \"errors\": [\n \"Bad Request\",\n \"Bad Request\"\n ]\n}"
}
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}
