@kui-shell/plugin-tekton/dist/model/modes/run.js

Visualizations for Tekton Pipelines

"use strict";
var __awaiter = (this && this.__awaiter) || function (thisArg, _arguments, P, generator) {
    function adopt(value) { return value instanceof P ? value : new P(function (resolve) { resolve(value); }); }
    return new (P || (P = Promise))(function (resolve, reject) {
        function fulfilled(value) { try { step(generator.next(value)); } catch (e) { reject(e); } }
        function rejected(value) { try { step(generator["throw"](value)); } catch (e) { reject(e); } }
        function step(result) { result.done ? resolve(result.value) : adopt(result.value).then(fulfilled, rejected); }
        step((generator = generator.apply(thisArg, _arguments || [])).next());
    });
};
Object.defineProperty(exports, "__esModule", { value: true });
const plugin_kubeui_1 = require("@kui-shell/plugin-kubeui");
const mode = {
    mode: 'Run Config',
    content: (tab, _) => __awaiter(void 0, void 0, void 0, function* () {
        if (!plugin_kubeui_1.isKubeResource(_)) {
            const { safeDump } = yield Promise.resolve().then(() => require('js-yaml'));
            const models = _.model.filter(_ => _.kind === 'PipelineRun' || _.kind === 'TaskRun');
            const model = models.length === 1 && models[0];
            return Object.assign({
                type: 'custom',
                isEntity: true,
                contentType: 'yaml',
                resource: model || models,
                content: safeDump(model || models)
            }, model || {});
        }
    })
};
exports.default = mode;
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