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/// <reference path="../../typings/tsd.d.ts" />
/// <reference path="../../bower_components/plottable/plottable.d.ts" />
module TF {
/* The DataCoordinator generates TF.Datasets for each run/tag combination,
* and is responsible for communicating with the backend to load data into them.
* A key fact about this design is that when Datasets modify their data, they
* automatically notify all dependent Plottable charts.
*/
export class DataCoordinator {
private urlGenerator: (tag: string, run: string) => string;
private datasets: {[key: string]: TF.Dataset};
private runToTag: {[run: string]: string[]};
constructor(urlGenerator: (tag: string, run: string) => string,
runToTag: {[run: string]: string[]}) {
this.datasets = {};
this.urlGenerator = urlGenerator;
this.runToTag = runToTag;
}
/* Create or return an array of Datasets for the given
* tag and runs. It filters which runs it uses by checking
* that data exists for each tag-run combination.
* Calling this triggers a load on the dataset.
*/
public getDatasets(tag: string, runs: string[]) {
var usableRuns = runs.filter((r) => {
var tags = this.runToTag[r];
return tags.indexOf(tag) !== -1;
});
return usableRuns.map((r) => this.getDataset(tag, r));
}
/* Create or return a Dataset for given tag and run.
* Calling this triggers a load on the dataset.
*/
public getDataset(tag: string, run: string): TF.Dataset {
var dataset = this._getDataset(tag, run);
dataset.load();
return dataset;
}
private _getDataset(tag: string, run: string): TF.Dataset {
var key = [tag, run].toString();
var dataset: TF.Dataset;
if (this.datasets[key] != null) {
dataset = this.datasets[key];
} else {
dataset = new TF.Dataset(tag, run, this.urlGenerator);
this.datasets[key] = dataset;
}
return dataset;
}
}
}
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