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redisai-js

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A high-performance Typescript client for RedisAI

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"use strict"; Object.defineProperty(exports, "__esModule", { value: true }); exports.Dag = void 0; var model_1 = require("./model"); var script_1 = require("./script"); var tensor_1 = require("./tensor"); /** * Direct mapping to RedisAI DAGs */ var Dag = /** @class */ (function () { function Dag() { this._commands = []; this._tensorgetflag = []; } Dag.prototype.tensorset = function (keyName, t) { var args = ['AI.TENSORSET']; t.tensorSetFlatArgs(keyName).forEach(function (arg) { return args.push(arg); }); this._commands.push(args); this._tensorgetflag.push(false); return this; }; Dag.prototype.tensorget = function (keyName) { var args = ['AI.TENSORGET']; tensor_1.Tensor.tensorGetFlatArgs(keyName).forEach(function (arg) { return args.push(arg); }); this._commands.push(args); this._tensorgetflag.push(true); return this; }; Dag.prototype.modelrun = function (modelName, inputs, outputs) { var args = ['AI.MODELRUN']; model_1.Model.modelRunFlatArgs(modelName, inputs, outputs).forEach(function (arg) { return args.push(arg); }); this._commands.push(args); this._tensorgetflag.push(false); return this; }; Dag.prototype.scriptrun = function (scriptName, functionName, inputs, outputs) { var args = ['AI.SCRIPTRUN']; script_1.Script.scriptRunFlatArgs(scriptName, functionName, inputs, outputs).forEach(function (arg) { return args.push(arg); }); this._commands.push(args); this._tensorgetflag.push(false); return this; }; Dag.prototype.dagRunFlatArgs = function (loadKeys, persistKeys) { var args = []; if (loadKeys != null && loadKeys.length > 0) { args.push('LOAD'); args.push(loadKeys.length); loadKeys.forEach(function (value) { return args.push(value); }); } if (persistKeys != null && persistKeys.length > 0) { args.push('PERSIST'); args.push(persistKeys.length); persistKeys.forEach(function (value) { return args.push(value); }); } this._commands.forEach(function (value) { args.push('|>'); value.forEach(function (arg) { return args.push(arg); }); }); return args; }; Dag.prototype.ProcessDagReply = function (reply) { for (var i = 0; i < reply.length; i++) { if (this._tensorgetflag[i] === true) { reply[i] = tensor_1.Tensor.NewTensorFromTensorGetReply(reply[i]); } } return reply; }; return Dag; }()); exports.Dag = Dag; //# sourceMappingURL=dag.js.map