I keep receiving the following errors with my geojson file:
hippocanon.geojson:2 Uncaught SyntaxError: Unexpected token ':' (at hippocanon.geojson:2:9)
leaflet.js:5 Uncaught Error: Invalid GeoJSON object.
at wi (leaflet.js:5:87066)
at e.addData (leaflet.js:5:85801)
at e.initialize (leaflet.js:5:85560)
at new e (leaflet.js:5:2708)
at frame4.html:46:26`
My current geojson file looks like this:
{
"type": "FeatureCollection",
"features": [{
"type": "Feature",
"properties": {
"start": "2009-09-15",
"end": "2010-08-07",
"author": "Kelly McCoy",
"rank": "CPT",
"service": "US Army",
"title": "Caveman 6 -- Stories from the CP",
"pitch": "Stories I tell...",
"url": "https://lex.page/read/0e66c104-7b9f-4a56-95ca-989bc8470795"
},
"geometry": {
"type": "Point",
"coordinates": [33.251778104724416, 44.27766716031223]
}
},
{
"type": "Feature",
"properties": {
"start": "2006-03-15",
"end": "2006-03-15",
"author": "Kelly McCoy",
"rank": "1LT",
"service": "US Army",
"unit": "C/502d MI BN",
"title": "From Bagram with Love",
"pitch": "How I met your mother",
"url": "https://lex.page/read/0e66c104-7b9f-4a56-95ca-989bc8470795"
},
"geometry": {
"type": "Point",
"coordinates": [34.937613863066176, 69.25211845755727]
}
}
]
}
Any idea on why I get this error?
I have used OpenAI playground and multiple other geojson examples to try and fix this issue. I keep receiving the same issue.
Related
I initially successfully created the following linked service in ADFv2 of type AzureDataExplorer for accessing my database in ADX called CustomerDB:-
{
"name": "ls_AzureDataExplorer",
"properties": {
"type": "AzureDataExplorer",
"annotations": [],
"typeProperties": {
"endpoint": "https://mycluster.xxxxmaskingregionxxxx.kusto.windows.net",
"tenant": "xxxxmaskingtenantidxxxx",
"servicePrincipalId": "xxxxmaskingspxxxx",
"servicePrincipalKey": {
"type": "AzureKeyVaultSecret",
"store": {
"referenceName": "ls_AzureKeyVault_MyKeyVault",
"type": "LinkedServiceReference"
},
"secretName": "MySecret"
},
"database": "CustomerDB"
}
},
"type": "Microsoft.DataFactory/factories/linkedservices"
}
This worked smoothly. Some values I had to mask for obvious reasons but just wanted to say that there is no issue with this connection. Now inspired from this Microsoft documentation I am trying to create a generic version of this linked service, which makes sense because otherwise if I have 10 databases in the cluster, I will have to create 10 different linked services.
So I tried to create the parameterized version in the following manner:-
{
"name": "ls_AzureDataExplorer_Generic",
"properties": {
"type": "AzureDataExplorer",
"annotations": [],
"typeProperties": {
"endpoint": "https://mycluster.xxxxmaskingregionxxxx.kusto.windows.net",
"tenant": "xxxxmaskingtenantidxxxx",
"servicePrincipalId": "xxxxmaskingspxxxx",
"servicePrincipalKey": {
"type": "AzureKeyVaultSecret",
"store": {
"referenceName": "ls_AzureKeyVault_MyKeyVault",
"type": "LinkedServiceReference"
},
"secretName": "MySecret"
},
"database": "#{linkedService().DBName}"
}
},
"type": "Microsoft.DataFactory/factories/linkedservices"
}
But while publishing the changes I keep getting the following error:-
Is there any solution to this?
The article clearly says that:-
For all other data stores, you can parameterize the linked service by selecting the Code icon on the Connections tab and using the JSON editor
So as per that my changes should have been published successfully. But I keep getting the error.
It appears I need to specify the parameter elsewhere in the same JSON. The followed worked:-
{
"name": "ls_AzureDataExplorer_Generic",
"properties": {
"parameters": {
"DBName": {
"type": "string"
}
},
"type": "AzureDataExplorer",
"annotations": [],
"typeProperties": {
"endpoint": "https://mycluster.xxxxmaskingregionxxxx.kusto.windows.net",
"tenant": "xxxxmaskingtenantidxxxx",
"servicePrincipalId": "xxxxmaskingspxxxx",
"servicePrincipalKey": {
"type": "AzureKeyVaultSecret",
"store": {
"referenceName": "ls_AzureKeyVault_MyKeyVault",
"type": "LinkedServiceReference"
},
"secretName": "MySecret"
},
"database": "#{linkedService().DBName}"
}
},
"type": "Microsoft.DataFactory/factories/linkedservices"
}
I am trying to render an Alexa Presentation Language document while Alexa is speaking her speech. I tried with a pager with several pages and the AutoPager command. The problem I am trying to solve is that the document is rendered when Alexa starts speaking but the command is started when the speech is finished, and I would like to see the three pages moving while speaking.
I am using the RenderDocumet and the executeCommand and the speak directives of responseBuilder.
The Document Template:
PagerDoc —>
{
"type": "APL",
"version": "1.0",
"theme": "dark",
"import": [],
"resources": [],
"styles": {},
"layouts": {},
"mainTemplate": {
"parameters": [
"datasource"
],
"item": [{
"type": "Container",
"items": [
{
"type": "Sequence",
"id": "pagerComponentId",
"scrollDirection": "vertical",
"numbered": true,
"width": "100vw",
"height": "100vh",
"alignItems": "center",
"justifyContent": "center",
"direction": "column",
"items": [
{
"type": "Image",
"source": "${datasource.app.properties.images.robot1}",
"position": "relative",
"width": "100vw",
"height": "100vh"
},
{
"type": "Image",
"source": "${datasource.app.properties.images.robot2}",
"position": "relative",
"width": "100vw",
"height": "100vh"
}
]
}
]
}
]
}
}
And the Directives:
var response = handlerInput.responseBuilder;
return response
.addDirective({
type : 'Alexa.Presentation.APL.RenderDocument',
token: 'pagerToken',
document : pagerDoc,
datasources : {
"app": {
"properties": {
"images": {
"robot1": "https://xxx/robot1.png",
"robot2": "https://xxx/robot2.png"
}
}
}
}
})
.addDirective({
type: 'Alexa.Presentation.APL.ExecuteCommands',
token: 'pagerToken',
commands: [
{
"type": "Parallel",
"commands": [
{
"type": "Scroll",
"componentId": "pagerComponentId",
"distance": 1
}
]
})
.speak(speechOutput)
.reprompt(repromptOutput)
.getResponse();
Could somebody tell me what should I do? If this is possible with Alexa?
Thanks a lot in advance and best regards,
Fernando
It's not posible yet. If you wait until the release of APL 1.1 (coming soon)
APL 1.1 will add onMount to the APL document which should allow for the execution of commands as soon as a document is loaded (eg. before alexa speaks)
I'm loading an image with the following code:
map.on('load', function () {
map.loadImage('....png', function(error, image) {
if (error) throw error;
map.addImage('b7', image);
map.addLayer({
"id": "b7",
"type": "symbol",
"source": {
"type": "geojson",
"data": {
"type": "FeatureCollection",
"features": [{
"type": "Feature",
"geometry": {
"type": "Point",
"coordinates": [0, 0]
}
}]
}
},
"layout": {
"icon-image": "b7",
"icon-size": 0.2
}
});
});
How can i set the visibility to none, at a certain zoom level?
It looks like that you cant use map.setLayoutProperty on an loadImage. In the console, it says: Error: The layer 'b7' does not exist in the map's style and cannot be styled.
Whey i try something like:
map.setLayoutProperty( 'b7', 'visibility', 'none' );
Any ideas?
Two suggestions on how to solve this:
First, make sure your image name and layer name are different. It could be that the function is looking for b7 layer but it finds an image named b7 first (or vice versa). Either way this should be changed as it creates conflicting variables.
Second, if that doesn't work try adding your source separately instead of inside the layer.
map.addSource("mySource", {
"type": "geojson",
"data": {
"type": "FeatureCollection",
"features": [{
"type": "Feature",
"geometry": {
"type": "Point",
"coordinates": [-74.981906, 41.742503]
},
"properties": {
"title": "title ",
"icon": "myImage",
}
}]
}
});
And then add the layer with the source.
map.addLayer({
"id": "b7",
"type": "symbol",
"source": "mySource",
"layout": {
"icon-image": "myImage",
"icon-size": 0.2
}
});
You can now call the setLayoutProperty on a zoomstart listener. Add a conditional if you want it only at a specific zoom level using map.getZoom(); You need to be setting the visibility for the layer here, not the image.
map.on('zoomstart', 'b7', function(e) {
if (map.getZoom() > 12) {
map.setLayoutProperty('b7', 'visibility', 'none');
}
})
Snippet is below, let me know if you encounter any problems.
map.on('load', function() {
map.loadImage('myImage.png', function(error, image) {
if (error) throw error;
map.addImage('myImage', image);
map.addSource("mySource", {
"type": "geojson",
"data": {
"type": "FeatureCollection",
"features": [{
"type": "Feature",
"geometry": {
"type": "Point",
"coordinates": [-73.981906, 40.742503]
},
"properties": {
"title": "title ",
"icon": "myImage",
}
}]
}
});
map.addLayer({
"id": "b7",
"type": "symbol",
"source": "mySource",
"layout": {
"icon-image": "myImage",
"icon-size": 0.2
}
});
});
});
map.on('zoomstart', 'b7', function(e) {
if (map.getZoom() > 12) {
map.setLayoutProperty('b7', 'visibility', 'none');
}
})
I am trying to colour each polygon dynamically based on a computation. Is there a way possible using mapbox?
The computation is triggered when a value is selected from the dropdown, then each polygon's colour needs to be updated.
Below is the geojson source that I am adding to the map.
{
"type": "geojson",
"data": {
"type": "FeatureCollection",
"features": [
{
"id": 1,
"type": "Feature",
"properties": {
"title": "Candolim"
},
"geometry": {
"type": "Polygon",
"coordinates": [[[73.68255615234375, 15.72088240269937], [73.707275390625, 15.670643235196232], [73.97232055664062, 15.640229310707543], [73.97232055664062, 15.685187424880764], [73.95721435546875, 15.698408515946419], [73.94760131835938, 15.74071024249738], [73.8885498046875, 15.753927728167556], [73.88717651367188, 15.769787575567598], [73.86245727539062, 15.798860741939269], [73.82675170898438, 15.742032029750966], [73.68255615234375, 15.72088240269937]]]
}
},
{
"id": 2,
"type": "Feature",
"properties": {
"title": "Morjim"
},
"geometry": {
"type": "Polygon",
"coordinates": [[[73.970947265625, 15.640229310707543], [73.70864868164062, 15.666676458207187], [73.73062133789062, 15.60584290961007], [73.76907348632812, 15.496032414238634], [73.79791259765625, 15.45765111021037], [74.17556762695312, 15.653453312049928], [74.11239624023438, 15.650808580175482], [74.08355712890625, 15.627004454829198], [74.03823852539062, 15.620391706641964], [74.02313232421875, 15.60584290961007], [73.99566650390625, 15.609810865724066], [73.98056030273438, 15.623036831528264], [73.970947265625, 15.640229310707543]]]
}
},
{
"id": 3,
"type": "Feature",
"properties": {
"title": "Panaji"
},
"geometry": {
"type": "Polygon",
"coordinates": [[[73.79928588867188, 15.458974721921672], [73.78280639648438, 15.411319377980993], [74.256591796875, 15.257689080778698], [74.29229736328125, 15.277561419418248], [74.33486938476562, 15.292133271452533], [74.31838989257811, 15.326571801420842], [74.32113647460938, 15.37027407332405], [74.2840576171875, 15.391459757417053], [74.27444458007812, 15.420586551727165], [74.27993774414062, 15.441767110328934], [74.24835205078124, 15.485445179478607], [74.27993774414062, 15.534406591252042], [74.25384521484375, 15.566159129772904], [74.26071166992188, 15.613778745064309], [74.24972534179688, 15.625681922266882], [74.24423217773438, 15.665354182093287], [74.2236328125, 15.65609800971696], [74.2071533203125, 15.658742673171389], [74.1961669921875, 15.669320984759295], [74.190673828125, 15.681220930466825], [74.17144775390625, 15.675932151334584], [74.17694091796875, 15.654775665159686], [73.79928588867188, 15.458974721921672]]]
}
}
]
}
}
You can achieve this using setPaintProperty and a "match" expression after the value is selected:
map.setPaintProperty('myLayer', 'fill-color', [
'match',
['get', 'title'],
layer.value, '#fbb03b',
/* other */ '#ccc'
]);
See this jsfiddle.
I am facing the below issue in creating an Azure Machine Learning Batch Execution activity to execute a scoring ML experiment. Please help:
Please let me know if any other relevant information is needed. I am new to this so, please help
Created an AzureML Linked Service as below:
{
"name": "PredictionAzureML",
"properties": {
"typeProperties": {
"mlEndpoint": "https://ussouthcentral.services.azureml.net/workspaces/xxxxx/jobs",
"apiKey": "xxxxxxxx=="
},
"type": "AzureML"
}
}
Created Pipeline as below:
{
"name": "pipeline1",
"properties": {
"description": "use AzureML model",
"activities": [
{
"name": "MLActivity",
"description": "description",
"type": "AzureMLBatchExecution",
"policy": {
"timeout": "02:00:00",
"retry": 1,
"retryIntervalInSeconds": 30
},
"typeProperties": {
"webServiceInput": "PredictionInputDataset",
"webServiceOutputs": {
"output1": "PredictionOutputDataset"
}
},
"inputs": [
{
"name": "PredictionInputDataset"
}
],
"outputs": [
{
"name": "PredictionOutputDataset"
}
],
"linkedServiceName": "PredictionAzureML"
}
]
}
}
Getting the below error:
{
"errorCode": "2109",
"message": "'linkedservicereference' with reference name 'PredictionAzureML' can't be found.",
"failureType": "UserError",
"target": "MLActivity"
}
I got this working in Data Factory v2, so apologies if you are using v1.
Try putting the linkedServiceName as an object in the JSON outside of the typeProperties and use the following structure:
"linkedServiceName": {
"referenceName": "PredictionAzureML",
"type": "LinkedServiceReference"
}
Hope that helps!
Please use "Trigger" instead of "Debug" in the UX. You need publish your pipeline first before click "Trigger" Button.
Please follow this doc to update your payload. It should look like the following.
{
"name": "AzureMLExecutionActivityTemplate",
"description": "description",
"type": "AzureMLBatchExecution",
"linkedServiceName": {
"referenceName": "AzureMLLinkedService",
"type": "LinkedServiceReference"
},
"typeProperties": {
"webServiceInputs": {
"<web service input name 1>": {
"LinkedServiceName":{
"referenceName": "AzureStorageLinkedService1",
"type": "LinkedServiceReference"
},
"FilePath":"path1"
},
"<web service input name 2>": {
"LinkedServiceName":{
"referenceName": "AzureStorageLinkedService1",
"type": "LinkedServiceReference"
},
"FilePath":"path2"
}
},
"webServiceOutputs": {
"<web service output name 1>": {
"LinkedServiceName":{
"referenceName": "AzureStorageLinkedService2",
"type": "LinkedServiceReference"
},
"FilePath":"path3"
},
"<web service output name 2>": {
"LinkedServiceName":{
"referenceName": "AzureStorageLinkedService2",
"type": "LinkedServiceReference"
},
"FilePath":"path4"
}
},
"globalParameters": {
"<Parameter 1 Name>": "<parameter value>",
"<parameter 2 name>": "<parameter 2 value>"
}
}
}