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NaveenBharathi
Regular Visitor

Power BI Fabric - Create semantic model with via Microsoft Fabric API

Hi Everyone,

 

I’m currently exploring the Microsoft Fabric API, specifically the Items - Create Semantic Model REST API (SemanticModel) as detailed on Microsoft Learn. Items - Create Semantic Model - REST API (SemanticModel) | Microsoft Learn

 

I am facing error 400 - 

{"requestId":"b2bfe832-a486-4bd2-ac00-c271415768ac","errorCode":"InvalidDefinitionParts","moreDetails":[{"errorCode":"InvalidPlatformFile","message":"Invalid platform file"}],"message":"One or more definition parts missing or invalid"}

 

I am using structure for request boby content: 

modelBim:

string modelBimContent = @"{""name"": ""SalesModel"",""model"": {""tables"": [{
""name"": ""Sales"",""columns"": [{""name"": ""SalesID"", ""dataType"": ""int""},{""name"": ""Amount"", ""dataType"": ""decimal""}]}]}}";

definitionPbism:
string definitionPbismContent = @"{""version"": ""1.0"",""connections"": [{""connectionType"": ""PowerBI"",""connectionString"": ""Server=myserver;Database=mydb;""}]}";

.platform:

string platformContent = @"{""version"": ""1.0"",""platform"": ""PowerBI"",""settings"": {""storageMode"": ""InMemory"",""queryMode"": ""DirectQuery""}}";

NaveenBharathi_0-1731577247815.png

 

My questions are:

1. How can I create a semantic model Fabric API?

2.How to resolve the error.

3. Please help to provide sample request body content in Semantic model create.

4. Any another way for creating the semantic model uisng fabric API 

 

Any help would be greatly appreciated!

 

 

1 ACCEPTED SOLUTION
AmosHersch
Microsoft Employee
Microsoft Employee

The error "Invalid platform file" indicates an issue with the .platform part you supplied. How did you get this file? Did you construct is manually? There's a schema for this file, and what you've sent probably doesn't conform to that schema.

You can try creating without this part if you don't know how to construct it.

View solution in original post

7 REPLIES 7
ddelapasse
Frequent Visitor

Here's a tiny one I used for testing.  I created one in PBI first and exported to pbip.  

{
    "name": "UploadedSMTest",
    "compatibilityLevel": 1550,
    "model": {
        "culture": "en-US",
        "dataAccessOptions": {
            "legacyRedirects": true,
            "returnErrorValuesAsNull": true
        },
        "defaultPowerBIDataSourceVersion": "powerBI_V3",
        "sourceQueryCulture": "en-US",
        "tables": [{
                "name": "Applications",
                "lineageTag": "c549ffef-c9e8-4320-a6c7-1ad879c6f368",
                "columns": [{
                        "name": "Id",
                        "dataType": "string",
                        "isNullable": false,
                        "sourceColumn": "Id",
                        "sourceProviderType": "uniqueidentifier",
                        "lineageTag": "26c50fc8-c33e-4719-8a9e-bc82ba1cfb48",
                        "summarizeBy": "none",
                        "annotations": [{
                                "name": "SummarizationSetBy",
                                "value": "Automatic"
                            }
                        ]
                    }, {
                        "name": "Name",
                        "dataType": "string",
                        "isNullable": false,
                        "sourceColumn": "Name",
                        "sourceProviderType": "nvarchar(450)",
                        "lineageTag": "eb2102dc-9c35-4bdd-a577-86ca938c63c2",
                        "summarizeBy": "none",
                        "annotations": [{
                                "name": "SummarizationSetBy",
                                "value": "Automatic"
                            }
                        ]
                    }, {
                        "name": "Ordinal",
                        "dataType": "int64",
                        "isNullable": false,
                        "sourceColumn": "Ordinal",
                        "formatString": "0",
                        "sourceProviderType": "int",
                        "lineageTag": "0a30dc9f-2112-44ca-87f7-229acfd33254",
                        "summarizeBy": "sum",
                        "annotations": [{
                                "name": "SummarizationSetBy",
                                "value": "Automatic"
                            }
                        ]
                    }, {
                        "name": "Logo",
                        "dataType": "string",
                        "sourceColumn": "Logo",
                        "sourceProviderType": "nvarchar(max)",
                        "lineageTag": "5ba19601-51ab-44c8-9446-82f31187ddfe",
                        "summarizeBy": "none",
                        "annotations": [{
                                "name": "SummarizationSetBy",
                                "value": "Automatic"
                            }
                        ]
                    }, {
                        "name": "FileName",
                        "dataType": "string",
                        "sourceColumn": "FileName",
                        "sourceProviderType": "nvarchar(max)",
                        "lineageTag": "3d6b9fc3-163a-4760-8ea5-08c737fd7d7d",
                        "summarizeBy": "none",
                        "annotations": [{
                                "name": "SummarizationSetBy",
                                "value": "Automatic"
                            }
                        ]
                    }, {
                        "name": "IsActive",
                        "dataType": "boolean",
                        "isNullable": false,
                        "sourceColumn": "IsActive",
                        "formatString": "\"TRUE\";\"TRUE\";\"FALSE\"",
                        "sourceProviderType": "bit",
                        "lineageTag": "33149fb3-d533-4eff-8bad-911b5ab6a54b",
                        "summarizeBy": "none",
                        "annotations": [{
                                "name": "SummarizationSetBy",
                                "value": "Automatic"
                            }
                        ]
                    }
                ],
                "partitions": [{
                        "name": "Applications",
                        "mode": "directQuery",
                        "source": {
                            "type": "m",
                            "expression": [
                                "let",
                                "    Source = Sql.Database(\"xxxx-sql.database.windows.net\", \"yyyy\"),",
                                "    dbo_Applications = Source{[Schema=\"dbo\",Item=\"Applications\"]}[Data]",
                                "in",
                                "    dbo_Applications"
                            ]
                        }
                    }
                ],
                "annotations": [{
                        "name": "PBI_ResultType",
                        "value": "Table"
                    }
                ]
            }
        ],
        "cultures": [{
                "name": "en-US",
                "linguisticMetadata": {
                    "content": {
                        "Version": "1.0.0",
                        "Language": "en-US"
                    },
                    "contentType": "json"
                }
            }
        ],
        "annotations": [{
                "name": "PBI_QueryOrder",
                "value": "[\"Applications\"]"
            }, {
                "name": "__PBI_TimeIntelligenceEnabled",
                "value": "1"
            }, {
                "name": "PBIDesktopVersion",
                "value": "2.137.1102.0 (24.10)"
            }, {
                "name": "PBI_ProTooling",
                "value": "[\"DevMode\"]"
            }, {
                "name": "TabularEditor_SerializeOptions",
                "value": "{\"IgnoreInferredObjects\":true,\"IgnoreInferredProperties\":true,\"IgnoreTimestamps\":true,\"SplitMultilineStrings\":true,\"PrefixFilenames\":false,\"LocalTranslations\":false,\"LocalPerspectives\":false,\"LocalRelationships\":false,\"Levels\":[\"Data Sources\",\"Shared Expressions\",\"Perspectives\",\"Relationships\",\"Roles\",\"Tables\",\"Tables/Columns\",\"Tables/Hierarchies\",\"Tables/Measures\",\"Tables/Partitions\",\"Tables/Calculation Items\",\"Translations\"]}"
            }, {
                "name": "__TEdtr",
                "value": "1"
            }
        ]
    }
}




Hi i am able to create semantic layer with above json for model.bim but when dataset is created it is not connected with database(as i am connecting with azure database) because in above JSON we are not providing database credential details
so can you please give updated JSON by which our semantic layer will also connected with mentioned database so we can have data fetched

Thanks !!!

AmosHersch
Microsoft Employee
Microsoft Employee

The error "Invalid platform file" indicates an issue with the .platform part you supplied. How did you get this file? Did you construct is manually? There's a schema for this file, and what you've sent probably doesn't conform to that schema.

You can try creating without this part if you don't know how to construct it.

Thank you, But throw 202 error still not create semantic model why?

202 is not an error, it means "Accepted" - the request was received and is being processed. You have the option of polling for the status, and for fetching the result once the operation ends.

Please read the documentation here Items - Create Semantic Model - REST API (SemanticModel) | Microsoft Learn

and here for long running operations in Fabric REST APIs Long running operations - Microsoft Fabric REST APIs | Microsoft Learn

Yes correct, But operation is failed.I think model.bim format is wrong please anyone share the model.bim structure 

 

error:  

<errorCode>RequestFailed</errorCode>
<message>Unable to process the request</message>
<requestId>873ac8b6-970d-4407-b741-d5943aecebc6</requestId>
</TridentPublicApiErrorResponse>
 
 
Thank you for support 

I suggest you first create a semantic model manually, then look at its semantic model definition Items - Get Semantic Model Definition - REST API (SemanticModel) | Microsoft Learn

to get the relevant sections and then construct one for your own.

 

Semantic Model Definition will give payload info in Base64, you will have to decode it.

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