In addition to my last question ember.js JSONAPIAdapter with hasMany a colleague asked if the "kind-of"-sideloaded relationships in the working
JSON:API structure could be embedded like this:
{
"data": [
{
"type": "altersgruppe",
"id": "1",
"attributes": {
"name": "UNTER_21"
},
"relationships": {
"tarifbeitraege": {
"data": [
{
"type": "tarifbeitrag",
"id": "3",
"attributes": {
"name": "ZAHN70",
"beitrag": "3-29,70",
"proergaenzung": "7,00",
"gesamtbeitrag": "25.99"
}
},
{
"type": "tarifbeitrag",
"id": "4",
"attributes": {
"name": "ZAHN90",
"beitrag": "4-28,70",
"proergaenzung": "7,00",
"gesamtbeitrag": "30.99"
}
}
]
}
}
},
{
"type": "altersgruppe",
"id": "2",
"attributes": {
"name": "ALTER_21_24"
},
"relationships":{
"tarifbeitraege": {
"data": [
{
"type": "tarifbeitrag",
"id": "1",
"attributes": {
"name": "ZAHN70",
"beitrag": "1-25,70",
"proergaenzung": "7,00",
"gesamtbeitrag": "25.99"
}
},
{
"type": "tarifbeitrag",
"id": "2",
"attributes": {
"name": "ZAHN90",
"beitrag": "2-25,70",
"proergaenzung": "7,00",
"gesamtbeitrag": "25.99"
}
}]
}
}
}
]
}
The idea behind that: We can use relationships with less problems in the java backend (where sideloaded structures are harder to implement).
But the JSON above structure does not work. The store contains only the first level of data, which is "altersgruppe", but "tarifbeitraege" are empty.
This type of document is referred to as a compound document in the JSON:API specification.
The "relationships" section of a compound document is supposed to have only the relationships - individual objects there are supposed to be resource identifier objects. Putting attributes there doesn't work because that's not where they are supposed to be.
Instead, the full objects are side-loaded in a top-level "included" section. Thus, your response should probably look more like this:
{
"data": [
{
"type": "altersgruppe",
"id": "1",
"attributes": {
"name": "UNTER_21"
},
"relationships": {
"tarifbeitraege": {
"data": [
{ "type": "tarifbeitrag", "id": "3" },
{ "type": "tarifbeitrag", "id": "4" }
]
}
}
},
{
"type": "altersgruppe",
"id": "2",
"attributes": {
"name": "ALTER_21_24"
},
"relationships":{
"tarifbeitraege": {
"data": [
{ "type": "tarifbeitrag", "id": "1" },
{ "type": "tarifbeitrag", "id": "2" }
]
}
}
}
],
"included": [
{
"type": "tarifbeitrag",
"id": "3",
"attributes": {
"name": "ZAHN70",
"beitrag": "3-29,70",
"proergaenzung": "7,00",
"gesamtbeitrag": "25.99"
}
},
{
"type": "tarifbeitrag",
"id": "4",
"attributes": {
"name": "ZAHN90",
"beitrag": "4-28,70",
"proergaenzung": "7,00",
"gesamtbeitrag": "30.99"
}
},
{
"type": "tarifbeitrag",
"id": "1",
"attributes": {
"name": "ZAHN70",
"beitrag": "1-25,70",
"proergaenzung": "7,00",
"gesamtbeitrag": "25.99"
}
},
{
"type": "tarifbeitrag",
"id": "2",
"attributes": {
"name": "ZAHN90",
"beitrag": "2-25,70",
"proergaenzung": "7,00",
"gesamtbeitrag": "25.99"
}
}
]
}
There's an example on the home page of http://jsonapi.org that shows an example that includes a side load, as well as one in the section of the specification describing compound documents.
Related
This is my first time to use JoltTransformationJson, so I have limited knowledge and experience on that. Please help me with this complicated project.
Request:
when the payment.code <> "paid", I have to do the following two things for the file.
to change the payment.code ="denied" and payment.text ="denied"
to add a JSON object to item.ADJ
When the payment.code =="paid", don't need to change anything.
Input :
{
"resourceType": "E",
"id": "11",
"identifier": [
{
"type": {
"coding": [
{
"system": "sys1",
"code": "aaa"
}
]
},
"value": "212"
},
{
"type": {
"coding": [
{
"system": "sys2",
"code": "RRR"
}
]
},
"value": "367"
}
],
"status": "active",
"created": "2021-08-05T02:43:48+00:00",
"outcome": "complete",
"item": [
{
"sequence": 1,
"product": {
"coding": [
{
"system": "example",
"code": "abc",
"display": "ABC"
}
],
"text": "ABC"
},
"servicedDate": "2021-08-04",
"quantity": {
"value": 60
},
"ADJ": [
{
"category": {
"coding": [
{
"system": "code1",
"code": "code1",
"display": "CODE1"
}
],
"text": "CODE1"
},
"amount": {
"value": 46.45,
"currency": "USD"
}
},
{
"category": {
"coding": [
{
"system": "code2",
"code": "code2",
"display": "CODE2"
}
],
"text": "CODE2"
},
"amount": {
"value": 12.04,
"currency": "USD"
}
}
]
}
],
"payment": {
"type": {
"coding": [
{
"system": "http://payment.com",
"code": "reversed/cancelled"
}
],
"text": "cancelled"
}
}
}
My Expected Output :
{
"resourceType": "E",
"id": "11",
"identifier": [
{
"type": {
"coding": [
{
"system": "sys1",
"code": "aaa"
}
]
},
"value": "212"
},
{
"type": {
"coding": [
{
"system": "sys2",
"code": "RRR"
}
]
},
"value": "367"
}
],
"status": "active",
"created": "2021-08-05T02:43:48+00:00",
"outcome": "complete",
"item": [
{
"sequence": 1,
"product": {
"coding": [
{
"system": "example",
"code": "abc",
"display": "ABC"
}
],
"text": "ABC"
},
"servicedDate": "2021-08-04",
"quantity": {
"value": 60
},
"ADJ": [
{
"category": {
"coding": [
{
"system": "code1",
"code": "code1",
"display": "CODE1"
}
],
"text": "CODE1"
},
"amount": {
"value": 46.45,
"currency": "USD"
}
},
{
"category": {
"coding": [
{
"system": "code2",
"code": "code2",
"display": "CODE2"
}
],
"text": "CODE2"
},
"amount": {
"value": 12.04,
"currency": "USD"
}
},
{// new object I want to insert into
"category": {
"coding": [
{
"system": "sys_denail",
"code": "denialreason"
}
],
"reason": {
"coding": [
{
"system": "https://example.com",
"code": "A1"
}
],
"text": "unknown"
}}
}
]
}
],
"payment": {
"type": {
"coding": [
{
"system": "http://payment.com",
"code": "denied" //change the value to denied
}
],
"text": "denied" //change the value to denied
}
}
}
Edit : I've tried to answer the second case by myself to be evaluated after the first case is answered
Welcome to SO, please ask minimal and reproducible questions, and show your effort tried for the future.
What you need is to use a conditional logic along with placeholder values with ampersand symbols depending on the levels of each key name within the tree.
I have partially answered, which will handle the bottom part of your question. Indeed the logic for the rest(inserting an object to the array will be similiar)
So, consider having a look at the following solution
[
{
"operation": "shift",
"spec": {
"*": "&",
"payment": {
"type": {
"coding": {
"*": {
"*": "&4.&3.&2[&1].&",
"code": {
"paid": {
"#1": "&6.&5.&4[&3].&2",
"#(4,text)": "&6.text"
},
"*": {
"#denied": "&6.&5.&4[&3].code",
"#(4,text)": {
"#denied": "&6.text"
}
}
}
}
}
}
}
}
}
]
Edit(for your own answer related to adding an object):
your current idea of using shift after default transformation spec is pretty good, you can rephrase like
[
{
"operation": "default",
"spec": {
"temp_deny": {
"denialreason": {
"category": {
"coding": [
{
"system": "sys_denail",
"code": "denialreason"
}
],
"reason": {
"coding": [
{
"system": "https://example.com",
"code": "A1"
}
],
"text": "unknown"
}
}
}
}
}
},
{
"operation": "shift",
"spec": {
"*": "&",
"item": {
"*": {
"*": "&2[&1].&",
"ADJ": {
"#": "&3[&2].&",
"#(4,temp_deny)": "&3[&2].&"
}
}
}
}
}
]
We have our files in BIM 360 container. We are trying to create the viewer app which consume the BIM360 file and display it in browser, the sample code which available in Forge site for Viewer is working fine in our local environment but we are facing issue with accessing BIM360 urn in same app (we already tried with the 3- legged authentication token too ). Could you please guide us to get the right URN for the file which are stored in BIM360 container? Please find the sample URN (we have converted to base64 while accessing in viewer app)which belongs to the DWG file in BIM360 , kindly let us know whether it is right one or not.
urn:adsk.objects:os.object:wip.dm.prod/7c21a6f0-41c9-42ae-a2b2-4b5741fa4d0c.dwg
urn:adsk.objects:os.object:wip.dm.prod/9ece42b9-c71c-4a27-90bb-87775f370164.dwg
Also please find the item details response json,
{
"jsonapi": {
"version": "1.0"
},
"links": {
"self": {
"href": "https://developer.api.autodesk.com/data/v1/projects/b.56fded29-645c-44b6-9498-29c0f9517fec/items/urn:adsk.wipprod:dm.lineage:1sbrvwIVRJ6J_hnfeVDA2g"
}
},
"data": {
"type": "items",
"id": "urn:adsk.wipprod:dm.lineage:1sbrvwIVRJ6J_hnfeVDA2g",
"attributes": {
"displayName": "bandra ga.dwg",
"createTime": "2021-02-16T11:06:47.0000000Z",
"createUserId": "8DCHNK3XFCM2",
"createUserName": "VBSL System Integrator",
"lastModifiedTime": "2021-02-16T11:06:47.0000000Z",
"lastModifiedUserId": "8DCHNK3XFCM2",
"lastModifiedUserName": "VBSL System Integrator",
"hidden": false,
"reserved": false,
"extension": {
"type": "items:autodesk.bim360:File",
"version": "1.0",
"schema": {
"href": "https://developer.api.autodesk.com/schema/v1/versions/items:autodesk.bim360:File-1.0"
},
"data": {
"sourceFileName": "bandra ga.dwg"
}
}
},
"links": {
"self": {
"href": "https://developer.api.autodesk.com/data/v1/projects/b.56fded29-645c-44b6-9498-29c0f9517fec/items/urn:adsk.wipprod:dm.lineage:1sbrvwIVRJ6J_hnfeVDA2g"
},
"webView": {
"href": "https://docs.b360.autodesk.com/projects/56fded29-645c-44b6-9498-29c0f9517fec/folders/urn%3Aadsk.wipprod%3Afs.folder%3Aco.nPlZOfdwQQiTrkXjS0FVVw/detail/viewer/items/urn%3Aadsk.wipprod%3Adm.lineage%3A1sbrvwIVRJ6J_hnfeVDA2g"
}
},
"relationships": {
"tip": {
"data": {
"type": "versions",
"id": "urn:adsk.wipprod:fs.file:vf.1sbrvwIVRJ6J_hnfeVDA2g?version=1"
},
"links": {
"related": {
"href": "https://developer.api.autodesk.com/data/v1/projects/b.56fded29-645c-44b6-9498-29c0f9517fec/items/urn:adsk.wipprod:dm.lineage:1sbrvwIVRJ6J_hnfeVDA2g/tip"
}
}
},
"versions": {
"links": {
"related": {
"href": "https://developer.api.autodesk.com/data/v1/projects/b.56fded29-645c-44b6-9498-29c0f9517fec/items/urn:adsk.wipprod:dm.lineage:1sbrvwIVRJ6J_hnfeVDA2g/versions"
}
}
},
"parent": {
"data": {
"type": "folders",
"id": "urn:adsk.wipprod:fs.folder:co.nPlZOfdwQQiTrkXjS0FVVw"
},
"links": {
"related": {
"href": "https://developer.api.autodesk.com/data/v1/projects/b.56fded29-645c-44b6-9498-29c0f9517fec/items/urn:adsk.wipprod:dm.lineage:1sbrvwIVRJ6J_hnfeVDA2g/parent"
}
}
},
"refs": {
"links": {
"self": {
"href": "https://developer.api.autodesk.com/data/v1/projects/b.56fded29-645c-44b6-9498-29c0f9517fec/items/urn:adsk.wipprod:dm.lineage:1sbrvwIVRJ6J_hnfeVDA2g/relationships/refs"
},
"related": {
"href": "https://developer.api.autodesk.com/data/v1/projects/b.56fded29-645c-44b6-9498-29c0f9517fec/items/urn:adsk.wipprod:dm.lineage:1sbrvwIVRJ6J_hnfeVDA2g/refs"
}
}
},
"links": {
"links": {
"self": {
"href": "https://developer.api.autodesk.com/data/v1/projects/b.56fded29-645c-44b6-9498-29c0f9517fec/items/urn:adsk.wipprod:dm.lineage:1sbrvwIVRJ6J_hnfeVDA2g/relationships/links"
}
}
}
}
},
"included": [
{
"type": "versions",
"id": "urn:adsk.wipprod:fs.file:vf.1sbrvwIVRJ6J_hnfeVDA2g?version=1",
"attributes": {
"name": "bandra ga.dwg",
"displayName": "bandra ga.dwg",
"createTime": "2021-02-16T11:06:47.0000000Z",
"createUserId": "8DCHNK3XFCM2",
"createUserName": "VBSL System Integrator",
"lastModifiedTime": "2021-02-16T11:08:00.0000000Z",
"lastModifiedUserId": "8DCHNK3XFCM2",
"lastModifiedUserName": "VBSL System Integrator",
"versionNumber": 1,
"storageSize": 2227450,
"fileType": "dwg",
"extension": {
"type": "versions:autodesk.bim360:File",
"version": "1.0",
"schema": {
"href": "https://developer.api.autodesk.com/schema/v1/versions/versions:autodesk.bim360:File-1.0"
},
"data": {
"processState": "PROCESSING_COMPLETE",
"extractionState": "SUCCESS",
"splittingState": "NOT_SPLIT",
"reviewState": "NOT_IN_REVIEW",
"revisionDisplayLabel": "1",
"sourceFileName": "bandra ga.dwg"
}
}
},
"links": {
"self": {
"href": "https://developer.api.autodesk.com/data/v1/projects/b.56fded29-645c-44b6-9498-29c0f9517fec/versions/urn:adsk.wipprod:fs.file:vf.1sbrvwIVRJ6J_hnfeVDA2g%3Fversion=1"
},
"webView": {
"href": "https://docs.b360.autodesk.com/projects/56fded29-645c-44b6-9498-29c0f9517fec/folders/urn%3Aadsk.wipprod%3Afs.folder%3Aco.nPlZOfdwQQiTrkXjS0FVVw/detail/viewer/items/urn%3Aadsk.wipprod%3Afs.file%3Avf.1sbrvwIVRJ6J_hnfeVDA2g%3Fversion%3D1"
}
},
"relationships": {
"item": {
"data": {
"type": "items",
"id": "urn:adsk.wipprod:dm.lineage:1sbrvwIVRJ6J_hnfeVDA2g"
},
"links": {
"related": {
"href": "https://developer.api.autodesk.com/data/v1/projects/b.56fded29-645c-44b6-9498-29c0f9517fec/versions/urn:adsk.wipprod:fs.file:vf.1sbrvwIVRJ6J_hnfeVDA2g%3Fversion=1/item"
}
}
},
"links": {
"links": {
"self": {
"href": "https://developer.api.autodesk.com/data/v1/projects/b.56fded29-645c-44b6-9498-29c0f9517fec/versions/urn:adsk.wipprod:fs.file:vf.1sbrvwIVRJ6J_hnfeVDA2g%3Fversion=1/relationships/links"
}
}
},
"refs": {
"links": {
"self": {
"href": "https://developer.api.autodesk.com/data/v1/projects/b.56fded29-645c-44b6-9498-29c0f9517fec/versions/urn:adsk.wipprod:fs.file:vf.1sbrvwIVRJ6J_hnfeVDA2g%3Fversion=1/relationships/refs"
},
"related": {
"href": "https://developer.api.autodesk.com/data/v1/projects/b.56fded29-645c-44b6-9498-29c0f9517fec/versions/urn:adsk.wipprod:fs.file:vf.1sbrvwIVRJ6J_hnfeVDA2g%3Fversion=1/refs"
}
}
},
"downloadFormats": {
"links": {
"related": {
"href": "https://developer.api.autodesk.com/data/v1/projects/b.56fded29-645c-44b6-9498-29c0f9517fec/versions/urn:adsk.wipprod:fs.file:vf.1sbrvwIVRJ6J_hnfeVDA2g%3Fversion=1/downloadFormats"
}
}
},
"derivatives": {
"data": {
"type": "derivatives",
"id": "dXJuOmFkc2sud2lwcHJvZDpmcy5maWxlOnZmLjFzYnJ2d0lWUko2Sl9obmZlVkRBMmc_dmVyc2lvbj0x"
},
"meta": {
"link": {
"href": "https://developer.api.autodesk.com/modelderivative/v2/designdata/dXJuOmFkc2sud2lwcHJvZDpmcy5maWxlOnZmLjFzYnJ2d0lWUko2Sl9obmZlVkRBMmc_dmVyc2lvbj0x/manifest?scopes=b360project.56fded29-645c-44b6-9498-29c0f9517fec,O2tenant.5902118"
}
}
},
"thumbnails": {
"data": {
"type": "thumbnails",
"id": "dXJuOmFkc2sud2lwcHJvZDpmcy5maWxlOnZmLjFzYnJ2d0lWUko2Sl9obmZlVkRBMmc_dmVyc2lvbj0x"
},
"meta": {
"link": {
"href": "https://developer.api.autodesk.com/modelderivative/v2/designdata/dXJuOmFkc2sud2lwcHJvZDpmcy5maWxlOnZmLjFzYnJ2d0lWUko2Sl9obmZlVkRBMmc_dmVyc2lvbj0x/thumbnail?scopes=b360project.56fded29-645c-44b6-9498-29c0f9517fec,O2tenant.5902118"
}
}
},
"storage": {
"data": {
"type": "objects",
"id": "urn:adsk.objects:os.object:wip.dm.prod/9ece42b9-c71c-4a27-90bb-87775f370164.dwg"
},
"meta": {
"link": {
"href": "https://developer.api.autodesk.com/oss/v2/buckets/wip.dm.prod/objects/9ece42b9-c71c-4a27-90bb-87775f370164.dwg?scopes=b360project.56fded29-645c-44b6-9498-29c0f9517fec,O2tenant.5902118"
}
}
}
}
}
]
}
It's here: dXJuOmFkc2sud2lwcHJvZDpmcy5maWxlOnZmLjFzYnJ2d0lWUko2Sl9obmZlVkRBMmc_dmVyc2lvbj0x
"derivatives": {
"data": {
"type": "derivatives",
"id": "dXJuOmFkc2sud2lwcHJvZDpmcy5maWxlOnZmLjFzYnJ2d0lWUko2Sl9obmZlVkRBMmc_dmVyc2lvbj0x"
},
"meta": {
"link": {
"href": "https://developer.api.autodesk.com/modelderivative/v2/designdata/dXJuOmFkc2sud2lwcHJvZDpmcy5maWxlOnZmLjFzYnJ2d0lWUko2Sl9obmZlVkRBMmc_dmVyc2lvbj0x/manifest?scopes=b360project.56fded29-645c-44b6-9498-29c0f9517fec,O2tenant.5902118"
}
}
},
To get the storage location of the an item (in your case urn:adsk.wipprod:dm.lineage:1sbrvwIVRJ6J_hnfeVDA2g), query the data of the tip (latest version) of the item using {{FORGE_HOST}}/data/v1/projects/:project/items/:item/tip (in your case, you can simply add /tip to your .links.self.href, ie. https://developer.api.autodesk.com/data/v1/projects/b.56fded29-645c-44b6-9498-29c0f9517fec/items/urn:adsk.wipprod:dm.lineage:1sbrvwIVRJ6J_hnfeVDA2g/tip.
This will return details of the latest version of the item (docs).
There, you should find data.relationships.storage.data.id, which is the the storage urn.
I'm new to ARM Templates.
I've downloaded an ARM Template from the Portal after building a VM with 1 managed Data Disk.
My objective is to use ARM Templates to build several VMs in a row.
For now, with identical parameters, except for the VM Name and of course NIC and Disks Names.
I noticed the parameters.json file had hardcoded values and that wouldn't work as a template, so I started modifying to see how could I make it more dynamic.
However I don't understand the Data Disks structure, which, in this template, is divided among different components and that's making me struggle with Dynamic Naming for the Disks.
Data disks appear in the template as a Resource and then as a property of the VM, inside a copy function.
However in the parameters file there are two objects, dataDisks and dataDisksResources.
I don't understand why the parameters have two different objects instead of one (for example, everything inside dataDisks instead of also having a dataDisksResources) and I also don't get why the parameters of the VM disk property are different and more than the parameters of the Disk Resource.
This is the template.json
{
"$schema": "http://schema.management.azure.com/schemas/2015-01-01/deploymentTemplate.json#",
"contentVersion": "1.0.0.0",
"parameters": {
"location": {
"type": "string"
},
"subnetName": {
"type": "string"
},
"virtualNetworkId": {
"type": "string"
},
"virtualMachineName": {
"type": "string"
},
"virtualMachineRG": {
"type": "string"
},
"osDiskType": {
"type": "string"
},
"dataDisks": {
"type": "array"
},
"dataDiskResources": {
"type": "array"
},
"virtualMachineSize": {
"type": "string"
},
"adminUsername": {
"type": "string"
},
"adminPassword": {
"type": "secureString"
},
"diagnosticsStorageAccountName": {
"type": "string"
},
"diagnosticsStorageAccountId": {
"type": "string"
},
"diagnosticsStorageAccountType": {
"type": "string"
},
"diagnosticsStorageAccountKind": {
"type": "string"
}
},
"variables": {
"vnetId": "[parameters('virtualNetworkId')]",
"subnetRef": "[concat(variables('vnetId'), '/subnets/', parameters('subnetName'))]",
"nicName": "[concat(parameters('virtualMachineName'), substring(uniqueString(resourceGroup().id),0,4))]"
},
"resources": [
{
"name": "[variables('nicName')]",
"type": "Microsoft.Network/networkInterfaces",
"apiVersion": "2019-07-01",
"location": "[parameters('location')]",
"dependsOn": [],
"properties": {
"ipConfigurations": [
{
"name": "ipconfig1",
"properties": {
"subnet": {
"id": "[variables('subnetRef')]"
},
"privateIPAllocationMethod": "Dynamic"
}
}
]
},
"tags": {
}
},
{
"name": "[concat(parameters('virtualMachineName'),'_DataDisk_0')]",
"type": "Microsoft.Compute/disks",
"apiVersion": "2019-07-01",
"location": "[parameters('location')]",
"properties": "[parameters('dataDiskResources')[copyIndex()].properties]",
"sku": {
"name": "[parameters('dataDiskResources')[copyIndex()].sku]"
},
"copy": {
"name": "managedDiskResources",
"count": "[length(parameters('dataDiskResources'))]"
},
"tags": {
}
},
{
"name": "[parameters('virtualMachineName')]",
"type": "Microsoft.Compute/virtualMachines",
"apiVersion": "2019-07-01",
"location": "[parameters('location')]",
"dependsOn": [
"managedDiskResources",
"[concat('Microsoft.Network/networkInterfaces/', variables('nicName'))]",
"[concat('Microsoft.Storage/storageAccounts/', parameters('diagnosticsStorageAccountName'))]"
],
"properties": {
"hardwareProfile": {
"vmSize": "[parameters('virtualMachineSize')]"
},
"storageProfile": {
"osDisk": {
"createOption": "fromImage",
"managedDisk": {
"storageAccountType": "[parameters('osDiskType')]"
}
},
"imageReference": {
"publisher": "MicrosoftVisualStudio",
"offer": "VisualStudio",
"sku": "VS-2017-Ent-Latest-Win10-N",
"version": "latest"
},
"copy": [
{
"name": "dataDisks",
"count": "[length(parameters('dataDisks'))]",
"input": {
"lun": "[parameters('dataDisks')[copyIndex('dataDisks')].lun]",
"createOption": "[parameters('dataDisks')[copyIndex('dataDisks')].createOption]",
"caching": "[parameters('dataDisks')[copyIndex('dataDisks')].caching]",
"writeAcceleratorEnabled": "[parameters('dataDisks')[copyIndex('dataDisks')].writeAcceleratorEnabled]",
"diskSizeGB": "[parameters('dataDisks')[copyIndex('dataDisks')].diskSizeGB]",
"managedDisk": {
"id": "[coalesce(parameters('dataDisks')[copyIndex('dataDisks')].id, if(equals(parameters('dataDisks')[copyIndex('dataDisks')].name, json('null')), json('null'), resourceId('Microsoft.Compute/disks', parameters('dataDisks')[copyIndex('dataDisks')].name)))]",
"storageAccountType": "[parameters('dataDisks')[copyIndex('dataDisks')].storageAccountType]"
}
}
}
]
},
"networkProfile": {
"networkInterfaces": [
{
"id": "[resourceId('Microsoft.Network/networkInterfaces', variables('nicName'))]"
}
]
},
"osProfile": {
"computerName": "[parameters('virtualMachineName')]",
"adminUsername": "[parameters('adminUsername')]",
"adminPassword": "[parameters('adminPassword')]",
"windowsConfiguration": {
"enableAutomaticUpdates": true,
"provisionVmAgent": true
}
},
"licenseType": "Windows_Server",
"diagnosticsProfile": {
"bootDiagnostics": {
"enabled": true,
"storageUri": "[concat('https://', parameters('diagnosticsStorageAccountName'), '.blob.core.windows.net/')]"
}
}
},
"tags": {
}
},
{
"name": "[parameters('diagnosticsStorageAccountName')]",
"type": "Microsoft.Storage/storageAccounts",
"apiVersion": "2019-06-01",
"location": "[parameters('location')]",
"properties": {},
"kind": "[parameters('diagnosticsStorageAccountKind')]",
"sku": {
"name": "[parameters('diagnosticsStorageAccountType')]"
},
"tags": {
}
}
],
"outputs": {
"adminUsername": {
"type": "string",
"value": "[parameters('adminUsername')]"
}
}
}
And this is the parameters.json
{
"location": {
"value": "location"
},
"subnetName": {
"value": "subnetname"
},
"virtualNetworkId": {
"value": "networkid"
},
"virtualMachineRG": {
"value": "vmRG"
},
"osDiskType": {
"value": "Standard_LRS"
},
"dataDisks": {
"value": [
{
"lun": 0,
"createOption": "attach",
"caching": "None",
"writeAcceleratorEnabled": false,
"id": null,
"storageAccountType": null,
"name": null,
"diskSizeGB": null,
"diskEncryptionSet": {
"id": null
}
}
]
},
"dataDiskResources": {
"value": [
{
"sku": "Standard_LRS",
"properties": {
"diskSizeGB": 128,
"creationData": {
"createOption": "empty"
}
}
}
]
},
"virtualMachineSize": {
"value": "Standard_B4ms"
},
"adminUsername": {
"value": "admin"
},
"diagnosticsStorageAccountName": {
"value": "rg01diag"
},
"diagnosticsStorageAccountId": {
"value": "Microsoft.Storage/storageAccounts/rg01diag"
},
"diagnosticsStorageAccountType": {
"value": "Standard_LRS"
},
"diagnosticsStorageAccountKind": {
"value": "Storage"
} }
I also can't find any documentation for this kind of template. All the quick templates I find have a simpler version of this. For example they state all the disks properties inside the same template file, the parameters and properties are fewer and there isn't any dataDisksResources object anywhere.
I want to understand how would I need to modify these Disk structure to add dynamic naming that names them, for example, as Azure portal does (VMName_DataDisk_Lunnumber)
Because you have to specify different input when you create the data disk and when you attach it, but you dont have to create it, you can just tell the VM to create those. thsis would be one way of doing that:
"dataDisks": [
{
"diskSizeGB": "[parameters('sizeOfEachDataDiskInGB')]",
"lun": 0,
"createOption": "Empty"
},
{
"diskSizeGB": "[parameters('sizeOfEachDataDiskInGB')]",
"lun": 1,
"createOption": "Empty"
},
{
"diskSizeGB": "[parameters('sizeOfEachDataDiskInGB')]",
"lun": 2,
"createOption": "Empty"
},
{
"diskSizeGB": "[parameters('sizeOfEachDataDiskInGB')]",
"lun": 3,
"createOption": "Empty"
}
],
and you dont have to have a separate disk resource, these would be created automatically. you can also add a property called name to specify a name for those.
https://github.com/Azure/azure-quickstart-templates/blob/master/101-vm-multiple-data-disk/azuredeploy.json
I have an array of JSON objects formatted as follows:
[
{
"id": 1,
"names": [
{
"name": "Bulbasaur",
"language": {
"name": "en",
"url": "http://myserver.com:8000/api/v2/language/9/"
}
},
],
},
{
"id": 1,
"types": [
{
"slot": 1,
"type": {
"name": "grass",
"url": "http://myserver.com:8000/api/v2/type/12/"
}
},
{
"slot": 2,
"type": {
"name": "poison",
"url": "http://myserver.com:8000/api/v2/type/4/"
}
}
]
},
{
"id": 2,
"names": [
{
"name": "Ivysaur",
"language": {
"name": "en",
"url": "http://myserver.com:8000/api/v2/language/9/"
}
},
],
},
{
"id": 2,
"types": [
{
"slot": 1,
"type": {
"name": "ice",
"url": "http://myserver.com:8000/api/v2/type/10/"
}
},
{
"slot": 2,
"type": {
"name": "electric",
"url": "http://myserver.com:8000/api/v2/type/8/"
}
}
]
},
{
"id": 3,
"names": [
{
"name": "Venusaur",
"language": {
"name": "en",
"url": "http://myserver.com:8000/api/v2/language/9/"
}
},
],
},
{
"id": 3,
"types": [
{
"slot": 1,
"type": {
"name": "ground",
"url": "http://myserver.com:8000/api/v2/type/2/"
}
},
{
"slot": 2,
"type": {
"name": "rock",
"url": "http://myserver.com:8000/api/v2/type/3/"
}
}
]
}
]
Note that these are pairs of separate objects that appear sequentially in a JSON array, with each pair sharing an id field. This pattern repeats several hundred times in the array. What I need to accomplish is to "merge" each id-sharing pair into one object. So, the resultant output would be
[
{
"id": 1,
"names": [
{
"name": "Bulbasaur",
"language": {
"name": "en",
"url": "http://myserver.com:8000/api/v2/language/9/"
}
},
],
"types": [
{
"slot": 1,
"type": {
"name": "grass",
"url": "http://myserver.com:8000/api/v2/type/12/"
}
},
{
"slot": 2,
"type": {
"name": "poison",
"url": "http://myserver.com:8000/api/v2/type/4/"
}
}
]
},
{
"id": 2,
"names": [
{
"name": "Ivysaur",
"language": {
"name": "en",
"url": "http://myserver.com:8000/api/v2/language/9/"
}
},
],
"types": [
{
"slot": 1,
"type": {
"name": "ice",
"url": "http://myserver.com:8000/api/v2/type/10/"
}
},
{
"slot": 2,
"type": {
"name": "electric",
"url": "http://myserver.com:8000/api/v2/type/8/"
}
}
]
},
{
"id": 3,
"names": [
{
"name": "Venusaur",
"language": {
"name": "en",
"url": "http://myserver.com:8000/api/v2/language/9/"
}
},
],
"types": [
{
"slot": 1,
"type": {
"name": "ground",
"url": "http://myserver.com:8000/api/v2/type/2/"
}
},
{
"slot": 2,
"type": {
"name": "rock",
"url": "http://myserver.com:8000/api/v2/type/3/"
}
}
]
}
]
I've gotten these objects to appear next to each other via the group_by(.id) command, but I'm at a loss as to how I should actually combine them. I'm very much still a novice with jq so I'm a bit overwhelmed with the amount of possible solutions.
[Note: The following assumes that the data shown in the Q have been corrected so that they are valid JSON.]
The merging you want can be achieved by object addition (x + y). For example, given the two JSON objects as shown in the question (i.e., as a stream), you could write:
jq -s '.[0] + .[1]'
However, since the question also indicates these objects are actually in an array, let's next consider the case of an array with two objects. In that case, you could simply write:
jq add
Finally, if you have an array of arrays each of which is an array of objects, you could use map(add). Since you don't have a very large array, you could simply write:
group_by(.id) | map(add)
Please note that jq defines object addition in a non-commutative way. Specifically, there is a bias towards the right-most key.
just checking before i build the wheel
I need a hackjob to present an api endpoint in a database. It doesn't need to do anything fancy, just convert what the rest api spits out into a single column of json. A new row at each iteration at the root/top level would be nice but a single varchar or whatever would be ok too
Does an ODBC wrapper exist out there anywhere? Googling just brings up hits for doing the opposite (exposing databases as an api). I'm not interested in the simba etc paid stuff. The consumer is SQL server so i can just use xp_cmdshell with curl as a last resort
so for instance the output of this : http://jsonapiplayground.reyesoft.com/v2/authors could come out as a table like so (a row for each author)
|data |
---------------------------------------------------
|{
"type": "authors",
"id": "1",
"attributes": {
"name": "Madge Mohr DVM 2",
"date_of_birth": "1977-08-21",
"date_of_death": "2009-09-14"
},
"relationships": {
"photos": {
"data": []
},
"books": {
"data": [
{
"type": "books",
"id": "41"
}
]
}
},
"links": {
"self": "/v2/authors/1"
}
} |
---------------------------------------------------
|{
"type": "authors",
"id": "3",
"attributes": {
"name": "Zelma Ortiz DDS",
"date_of_birth": "1992-09-06",
"date_of_death": "2000-12-19"
},
"relationships": {
"photos": {
"data": [
{
"type": "photos",
"id": "3"
}
]
},
"books": {
"data": [
{
"type": "books",
"id": "36"
},
{
"type": "books",
"id": "48"
}
]
}
},
"links": {
"self": "/v2/authors/3"
}
}|
----------
|{
"type": "authors",
"id": "4",
"attributes": {
"name": "Fermin Barrows Sr.",
"date_of_birth": "1991-03-18",
"date_of_death": "1975-11-07"
},
"relationships": {
"photos": {
"data": [
{
"type": "photos",
"id": "4"
}
]
},
"books": {
"data": [
{
"type": "books",
"id": "1"
},
{
"type": "books",
"id": "26"
},
{
"type": "books",
"id": "44"
},
{
"type": "books",
"id": "46"
}
]
}
},
"links": {
"self": "/v2/authors/4"
}
}|
----------
|{
"type": "authors",
"id": "5",
"attributes": {
"name": "Terry Durgan",
"date_of_birth": "2011-03-06",
"date_of_death": "2017-04-13"
},
"relationships": {
"photos": {
"data": [
{
"type": "photos",
"id": "5"
}
]
},
"books": {
"data": [
{
"type": "books",
"id": "6"
},
{
"type": "books",
"id": "16"
},
{
"type": "books",
"id": "50"
}
]
}
},
"links": {
"self": "/v2/authors/5"
}
}|
----------
|{
"type": "authors",
"id": "6",
"attributes": {
"name": "Annalise Walsh",
"date_of_birth": "2004-11-27",
"date_of_death": "1997-07-20"
},
"relationships": {
"photos": {
"data": [
{
"type": "photos",
"id": "6"
}
]
},
"books": {
"data": [
{
"type": "books",
"id": "4"
},
{
"type": "books",
"id": "5"
},
{
"type": "books",
"id": "21"
}
]
}
},
"links": {
"self": "/v2/authors/6"
}
}|
---------