VS Code has support for schemastore which gives you autocomplete in YAML files.
But VS Code does not detect the schema if the filename is different.
For example, if I edit .golangci.yaml the corresponding schema gets used. If I edit .golangci-foo.yaml the schema is not detected.
How can I enable the schema for files where the filename is different?
You can do this using the json.schemas setting. Like so:
"json.schemas": [
{
"fileMatch": [ "*tsconfig*.json" ],
"url": "http://json.schemastore.org/tsconfig",
},{
"fileMatch": [ "*cSpell.json" ],
"url": "https://raw.githubusercontent.com/streetsidesoftware/cspell/cspell4/cspell.schema.json",
},{
"fileMatch": [ "*.webmanifest" ],
"url": "http://json.schemastore.org/web-manifest",
},{
"fileMatch": [ "*package*.json" ],
"url": "https://json.schemastore.org/package",
}
],
As indicated in the comments, this worked for the asker, and they used the following:
"json.schemas": [
{
"fileMatch": [ "*.golangci*yaml" ],
"url": "https://json.schemastore.org/golangci-lint.json",
}
],
Related
I have a map for which I have to add a lot of (about 150) images on a map.
I've seen their example Add a raster image to a map layer, which shows that you need to add a source with coordinates, then add a layer to display your image on the map.
I made a loop to add all my images, but it makes my map really laggy when moving on it; see demo here.
I was working with Leaflet before, and it was handling that nicely.
Is Mapbox supposed to work fine with a lot of images loaded, and is there strategies to make it render smoothly?
One attempt that I made is that I was wondering if this was due to a excessive amount of layers; and searched how to add multiple images on a same layer (same question here); but haven't found a way to do it: this does not work:
//add source
map.addSource("imagesSource", {
type: "geojson",
data: {
"type": "FeatureCollection",
"features": [
[
{
"type": "image",
"url": "http://url/image1.png",
"coordinates": [
[
4.3813338557822,
50.842573058675
],
[
4.418685805334,
50.842573058675
],
[
4.418685805334,
50.825893099756
],
[
4.3813338557822,
50.825893099756
]
]
},
{
"type": "image",
"url": "http://url/image2.png",
"coordinates": [
[
4.3981741530879,
50.835614531226
],
[
4.402177428321,
50.835614531226
],
[
4.402177428321,
50.833826839538
],
[
4.3981741530879,
50.833826839538
]
]
},
{
"type": "image",
"url": "http://url/image3.png",
"coordinates": [
[
4.3813338557822,
50.842573058675
],
[
4.418685805334,
50.842573058675
],
[
4.418685805334,
50.825893099756
],
[
4.3813338557822,
50.825893099756
]
]
}
]
]
}
});
//add layer
map.addLayer({
"id": 'imagesLayer',
"source": 'imagesSource',
"type": "raster",
"paint": {"raster-opacity": 0.85}
})
NB There is another example named Add a georeferenced image, which is confusing since this one is for adding a tileset; which is not my case: I want to be able to handle each image individually (toggle a selection, etc).
We have a self-hosted Azure DevOps Server 2019 for which I have created my own widget using the tutorial https://learn.microsoft.com/en-us/azure/devops/extend/develop/add-dashboard-widget?view=azure-devops-2019.
I was also able to successfully add the extension to the server and the extension is also visible.
However, when I edit my dashboard, my newly created widget is not displayed. What could be the reason for this?
Furthermore, I also installed the extension VstsDashboardWidgetProjectTemplate (https://github.com/GregTrevellick/VstsDashboardWidgetProjectTemplate) in Visual Studio and also created an extension/widget from it. Unfortunately with the same result that I can install and see the extension, but not the actual widget.
I am attaching the vss-extension.json file as I suspect this is where the error is most likely to be found. However, I can also supply the other files if needed.
{
"manifestVersion": 1,
"id": "MyVeryFirstCustomExtension",
"version": "1.0.0",
"name": "My Very First Custom Extension",
"description": "Samples containing different widgets extending dashboards",
"publisher": "MyCompany",
"categories": [
"Azure Boards"
],
"targets": [
{
"id": "Microsoft.VisualStudio.Services"
}
],
"icons": {
"default": "img/logo.png"
},
"contributions": [
{
"id": "HelloWorldWidget",
"type": "ms.vss-dashboards-web.widget",
"targets": [
"ms.vss-dashboards-web.widget-catalog"
],
"properties": {
"name": "Hello World Widget",
"description": "My first widget",
"catalogIconUrl": "img/CatalogIcon.png",
"previewImageUrl": "img/preview.png",
"uri": "hello-world.html",
"supportedSizes": [
{
"rowSpan": 1,
"columnSpan": 2
}
],
"supportedScopes": [
"project_team"
]
}
}
],
"files": [
{
"path": "hello-world.html",
"addressable": true
},
{
"path": "sdk/scripts",
"addressable": true
},
{
"path": "img",
"addressable": true
}
],
"scopes": [
"vso.work"
]
}
Am trying to build small size Raspberry Pi images using packer-builder-arm (https://github.com/mkaczanowski/packer-builder-arm) community plugin.
The resulting images are still 2GB. Anybody suggestion how to reduce the image size. Thanks!
{
"variables": {},
"builders": [
{
"type": "arm",
"file_urls": [
"http://downloads.raspberrypi.org/raspios_lite_armhf/images/raspios_lite_armhf-2020-05-28/2020-05-27-raspios-buster-lite-armhf.zip"
],
"file_checksum_url": "http://downloads.raspberrypi.org/raspios_lite_armhf/images/raspios_lite_armhf-2020-05-28/2020-05-27-raspios-buster-lite-armhf.zip.sha256",
"file_checksum_type": "sha256",
"file_target_extension": "zip",
"image_build_method": "reuse",
"image_path": "custom-raspberry-pi-os.img",
"image_size": "700M",
"image_type": "dos",
"image_partitions": [
{
"name": "boot",
"type": "c",
"start_sector": "8192",
"filesystem": "vfat",
"size": "256M",
"mountpoint": "/boot"
},
{
"name": "root",
"type": "83",
"start_sector": "532480",
"filesystem": "ext4",
"size": "0",
"mountpoint": "/"
}
],
"image_chroot_env": [
"PATH=/usr/local/bin:/usr/local/sbin:/usr/bin:/usr/sbin:/bin:/sbin"
],
"qemu_binary_source_path": "/usr/bin/qemu-arm-static",
"qemu_binary_destination_path": "/usr/bin/qemu-arm-static"
}
],
"provisioners": [
{
"type": "shell",
"inline": ["touch /tmp/test"]
}
]
}```
You might want to look into removing the programs you don't need in there. And then do a partition resize using something like resize2fs.
In OpenLayers 5.3.0, I've created a MultiPolygon using the 'difference' tool in turf.js. The turf.js MultiPolygon looks fine when I examine the JSON, but when I try to use that to create a feature in OpenLayers, I get "Uncaught TypeError: t.addEventListener is not a function".
I've tried many combinations of JSON.stringify, JSON.parse, GeoJSON.readFeatures, .getCoordinates()... I tried adding the turf.js MultiPolygon as a feature directly via source.addFeature(multiPolygonGeometry), but then I get 'Uncaught TypeError: e.getId is not a function'. I also tried source.addFeatures(multiPolygonGeometry) (note the plural 'addFeatures'), and that didn't give me any errors, but also didn't appear to add anything to the source.
Relevant lines in my code are as follows:
multiPolygonGeometry = turf.difference(largeArea,maskAreas);
multiPolygonFeature = new ol.Feature({
geometry: multiPolygonGeometry,
id: 'multiPolygonFeature1'
});
multiPolygonGeometry looks like this in the console:
{
"type": "Feature",
"properties": {},
"geometry": {
"type": "MultiPolygon",
"coordinates": [
[
[
[
140.9716711384525,
-36.97645228850101
],
[
140.97418321565786,
-36.97679331852701
],
[
140.9741163253784,
-36.97713531664132
],
[
140.9740304946899,
-36.97903805606076
],
[
140.97437381744382,
-36.98025509866784
],
[
140.97594864874696,
-36.98127512642501
],
[
140.9714880598484,
-36.9804459718428
],
[
140.9714500775476,
-36.97642733756345
],
[
140.9716711384525,
-36.97645228850101
]
]
],
[
[
[
140.97455248763328,
-36.97684309230892
],
[
140.97751071844857,
-36.97723786980259
],
[
140.97749308140382,
-36.977304276099005
],
[
140.97715289421623,
-36.97770848336402
],
[
140.97661807025068,
-36.97969050789806
],
[
140.97628355026242,
-36.97958658471583
],
[
140.97634792327878,
-36.97900377288852
],
[
140.9764981269836,
-36.97866094031662
],
[
140.97510337829587,
-36.97727245260485
],
[
140.97455248763328,
-36.97684309230892
]
]
],
[
[
[
140.97628420893903,
-36.98092777726751
],
[
140.97617893060388,
-36.98131793226549
],
[
140.97596635572492,
-36.98127841787872
],
[
140.97628420893903,
-36.98092777726751
]
]
]
]
},
"ol_lm": {
"change": []
}
}
And then I get this message:
events.js:174 Uncaught TypeError: t.addEventListener is not a function
at v (events.js:174)
at e.handleGeometryChanged_ (Feature.js:210)
at e (events.js:41)
at e.dispatchEvent (Target.js:101)
at e.notify (Object.js:151)
at e.set (Object.js:170)
at e.setProperties (Object.js:186)
at new e (Feature.js:108)
at getPolygon (maskedPolygon.js:319) <-- this is the second line in my code sample above
at <anonymous>:1:1
What am I doing wrong here? I'm sure it's something simple but I just can't seem to crack this.
Turf works with GeoJSON features so your "multiPolygonGeometry" is a GeoJSON feature which can be parsed by OpenLayers then given an Id:
multiPolygonFeature = new ol.format.GeoJSON().readFeature(multiPolygonGeometry);
multiPolygonFeature.setId('multiPolygonFeature1');
There are some complex commands that can be invoked with args:
{
"key": "ctrl+shift+alt+w",
"command": "vscode.setEditorLayout",
"args": {
"orientation": 0,
"groups": [
{
"groups": [
{},
{}
],
"size": 0.7
},
{
"groups": [
{},
{}
],
"size": 0.3
}
]
}
},
vscode.open appears in command autocomplete and therefore should be able to work. But I cannot find what to pass as args for it to work.
https://code.visualstudio.com/api/references/commands
P.S. I know I can use extensions. Just looking if it's possible or not.