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Merge pull request #14 from nih-sparc/feature_image-select-api
Feature image select api
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,52 @@ | ||
| class MBFImageObject { | ||
| constructor(imageObj = {}){ | ||
| this.id = imageObj.id || ""; | ||
| } | ||
|
|
||
| clone() { | ||
| const clonedObject = new MBFImageObject(); | ||
| clonedObject.id = this.id; | ||
| return clonedObject; | ||
| } | ||
| } | ||
| class SparcImageObject | ||
| { | ||
| constructor(data){ | ||
| this.id = data.image_id; | ||
| this.name = data.image_id, | ||
| this.size = "...", | ||
| this.path = data.share_link | ||
| } | ||
| } | ||
| export class TableObject{ | ||
| constructor(array = {}){ | ||
| this.SparcImageArray = []; | ||
| array.forEach((img)=>this.SparcImageArray.push(new SparcImageObject(img))) | ||
| this.MBFImageObject = []; | ||
| array.forEach((img)=>this.MBFImageObject.push(new MBFImageObject(img))) | ||
| } | ||
| buildTableMBF(){ | ||
| let _tempArr=[]; | ||
| this.MBFImageObject.forEach((img)=>{ | ||
| let column = { | ||
| name:img.id, | ||
| size: "...", | ||
| path: "" | ||
| } | ||
| _tempArr.push(column); | ||
| }) | ||
| return _tempArr; | ||
| } | ||
| buildTableSPARC(){ | ||
| let _tempArr=[]; | ||
| this.SparcImageArray.forEach((img)=>{ | ||
| let column = { | ||
| name:img.id, | ||
| size: "...", | ||
| path: img.path | ||
| } | ||
| _tempArr.push(column); | ||
| }) | ||
| return _tempArr; | ||
| } | ||
| } |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,81 @@ | ||
| import { ref, inject } from 'vue' | ||
| import { defineStore } from 'pinia' | ||
| import { Api } from "../services"; | ||
|
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|
|
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| export const useLocationStore = defineStore('locationSelected', () => { | ||
| const emitter = inject('emitter'); | ||
| function init(){ | ||
|
|
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| emitter.on('anatomical-location-selected',(location)=>{ | ||
| if(location && location.min && location.max){ | ||
| getRegionMinMax(location.min,location.max); | ||
| } | ||
| }); | ||
| } | ||
|
|
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| //call for min/max | ||
| const getRegionMinMax = async(min, max, subject)=>{ | ||
| subject = "sub-f001"; | ||
| let _instance_list = {}; | ||
| let _response = {}; | ||
| try{ | ||
| await Api.qdb.getLocationMinMax(min,max,subject).then(response =>{ | ||
| _response = response; | ||
| }) | ||
| if (_response.status === 200) { | ||
| _instance_list = _response.data.result; | ||
| handleMinMaxRequest(_instance_list); | ||
| } | ||
| }catch(e){ | ||
| console.error("couldn't get min max region "+subject+" from QDB /n min: "+min +" max: "+ max); | ||
| console.log(e) | ||
| } | ||
| } | ||
| function handleMinMaxRequest(results){ | ||
| const instances =results.filter(y => y.agg_type ==="instance"); | ||
| getPackageIds(instances) | ||
| } | ||
|
|
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| //call for min/max | ||
|
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| const getPackageIds = async(instances)=>{ | ||
| let ImagesArray = []; | ||
| for(var i=0;i<instances.length;i++){ | ||
| let _image_list = {}; | ||
| let _response = {}; | ||
| const instance = instances[i].inst || null; | ||
| const dataset = instances[i].dataset || null; | ||
| try{ | ||
| await Api.qdb.getImagesByInstance(dataset,instance).then(response =>{ | ||
| _response = response; | ||
| }) | ||
| if (_response.status === 200) { | ||
| _image_list = _response.data.result; | ||
| ImagesArray = [...ImagesArray, ..._image_list] | ||
| } | ||
| }catch(e){ | ||
| console.error("couldn't get images from instance "+instance+" and dataset "+dataset+" from QDB"); | ||
| console.log(e) | ||
| } | ||
| } | ||
| ImagesArray = ImagesArray.filter(x=>x.id_type!=="quantdb"&& x.id); | ||
| emitter.emit('MBFImageArray-Update',ImagesArray); | ||
| } | ||
| //https://services.scicrunch.io/quantdb/api/1/values/quant?aspect=distance-via-reva-ft-sample-id-normalized-v1&subject=sub-f001&value-quant-min=0.0&value-quant-max=0.1 | ||
|
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| // call for each dataset and instance/segment | ||
| //https://services.scicrunch.io/quantdb/api/1/objects?dataset=aa43eda8-b29a-4c25-9840-ecbd57598afc&inst=sam-c-seg-15c | ||
| //check for unique inst and dataset... and later clarify what the min/max ones are | ||
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| //if you get all of those then you will have a package id for each one that is associated with one jpg2000 (hopefully) | ||
| //user clicks on image | ||
| //that's when you need this call to get an image | ||
| //https://sparc.biolucida.net/api/v1/imagemap/sharelink/N:package:ad977506-77bf-4f3b-93b3-41f6426c0b44/268 | ||
| //package id and dataset id... but need to clarify dataset id. | ||
| //then you get biolucida image path... uhg. | ||
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| const componentList = ref([""]); | ||
| const navigatorType = ref("LocationNav");//default | ||
| return { init, navigatorType } | ||
| }) |