"use strict";
var __decorate = (this && this.__decorate) || function (decorators, target, key, desc) {
    var c = arguments.length, r = c < 3 ? target : desc === null ? desc = Object.getOwnPropertyDescriptor(target, key) : desc, d;
    if (typeof Reflect === "object" && typeof Reflect.decorate === "function") r = Reflect.decorate(decorators, target, key, desc);
    else for (var i = decorators.length - 1; i >= 0; i--) if (d = decorators[i]) r = (c < 3 ? d(r) : c > 3 ? d(target, key, r) : d(target, key)) || r;
    return c > 3 && r && Object.defineProperty(target, key, r), r;
};
var __metadata = (this && this.__metadata) || function (k, v) {
    if (typeof Reflect === "object" && typeof Reflect.metadata === "function") return Reflect.metadata(k, v);
};
Object.defineProperty(exports, "__esModule", { value: true });
exports.DataSetBlob = void 0;
const index_js_1 = require("../model/index.js");
const index_js_2 = require("../services/index.js");
class DataSetBlob extends index_js_1.Action {
    constructor() {
        super(...arguments);
        this.$outcome = undefined;
        this.encoding = index_js_2.BlobEncoding.BINARY;
    }
    get $blobs() {
        return this.$engine.get(index_js_2.BlobService);
    }
    reset() {
        super.reset();
        this.$outcome = undefined;
    }
    async exec() {
        await this.retry(async () => {
            const el = await this.selectOne(this.pipeline);
            const { filename, content } = this.validate(el.value);
            const buffer = Buffer.from(content, this.encoding);
            this.$outcome = await this.$blobs.createBlob(filename, buffer);
        });
    }
}
DataSetBlob.$type = 'Data.setBlob';
DataSetBlob.$icon = 'fas fa-database';
DataSetBlob.$help = `
Computes a pipeline, storing a result as a blob with specified encoding.

The pipeline should evaluate to object with following structure:

- \`filename\` (string) — filename of blob
- \`content\` (string) — string content in encoding as specified by \`encoding\` parameter

The blob can subsequently be obtained using \`Data.getBlob\` pipe.
`;
DataSetBlob.$schema = {
    type: 'object',
    required: ['filename', 'content'],
    properties: {
        filename: { type: 'string' },
        content: { type: 'string' },
    },
};
__decorate([
    index_js_1.params.Pipeline(),
    __metadata("design:type", index_js_1.Pipeline)
], DataSetBlob.prototype, "pipeline", void 0);
__decorate([
    index_js_1.params.Outcome({
        label: 'Result',
        placeholder: 'Run the action to see the outcome value.',
    }),
    __metadata("design:type", Object)
], DataSetBlob.prototype, "$outcome", void 0);
__decorate([
    index_js_1.params.Enum({
        enum: Object.values(index_js_2.BlobEncoding),
    }),
    __metadata("design:type", String)
], DataSetBlob.prototype, "encoding", void 0);
exports.DataSetBlob = DataSetBlob;
//# sourceMappingURL=Data.setBlob.js.map