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Luis Fernando Molina committed 2020-11-28 12:31:30 +01:00
1 parent e10465b049
commit 562225b3af
11 files changed
+18 -18
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TaskServer/DataDependencies.js
+1 -1
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@@ -20,7 +20,7 @@
try {
/* Basic Valdidations */
if (bot.processNode.referenceParent.processDependencies !== undefined) {
thisObject.nodeArray = TS.projects.superalgos.utilities.nodeFunctions.nodeBrachToArray(bot.processNode.referenceParent.processDependencies, 'Data Dependency')
thisObject.nodeArray = TS.projects.superalgos.utilities.nodeFunctions.nodeBranchToArray(bot.processNode.referenceParent.processDependencies, 'Data Dependency')
if (thisObject.nodeArray.length === 0) {
logger.write(MODULE_NAME, "[ERROR] initialize -> onInitilized -> It is not possible to not have data dependencies at all.");
callBackFunction(TS.projects.superalgos.globals.standardResponses.DEFAULT_OK_RESPONSE)
TaskServer/IndicatorOutput.js
+2 -2
View File
@@ -50,11 +50,11 @@
}
/* The first phase here is about checking that we have everything we need at the definition level. */
let dataDependencies = TS.projects.superalgos.utilities.nodeFunctions.nodeBrachToArray(bot.processNode.referenceParent.processDependencies, 'Data Dependency')
let dataDependencies = TS.projects.superalgos.utilities.nodeFunctions.nodeBranchToArray(bot.processNode.referenceParent.processDependencies, 'Data Dependency')
if (commons.validateDataDependencies(dataDependencies, callBackFunction) !== true) { return }
let outputDatasets = TS.projects.superalgos.utilities.nodeFunctions.nodeBrachToArray (bot.processNode.referenceParent.processOutput, 'Output Dataset')
let outputDatasets = TS.projects.superalgos.utilities.nodeFunctions.nodeBranchToArray (bot.processNode.referenceParent.processOutput, 'Output Dataset')
if (commons.validateOutputDatasets(outputDatasets, callBackFunction) !== true) { return }
/* The second phase is about transforming the inputs into a format that can be used to apply the user defined code. */
TaskServer/LowFrequencyTrading/TradingOutput.js
+1 -1
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@@ -40,7 +40,7 @@ exports.newTradingOutput = function (processIndex, bot, logger, tradingEngineMod
const TRADING_SIMULATION = require('./TradingSimulation.js')
let tradingSimulation = TRADING_SIMULATION.newTradingSimulation(processIndex, bot, logger, tradingEngineModule, UTILITIES)
let outputDatasets = TS.projects.superalgos.utilities.nodeFunctions.nodeBrachToArray(bot.processNode.referenceParent.processOutput, 'Output Dataset')
let outputDatasets = TS.projects.superalgos.utilities.nodeFunctions.nodeBranchToArray(bot.processNode.referenceParent.processOutput, 'Output Dataset')
let outputDatasetsMap = new Map()
if (bot.processingDailyFiles === true) {
TaskServer/LowFrequencyTrading/TradingProcess.js
+3 -3
View File
@@ -555,7 +555,7 @@
let mainDependency = {}
/* The first phase here is about checking that we have everything we need at the definition level. */
let dataDependencies = TS.projects.superalgos.utilities.nodeFunctions.nodeBrachToArray(bot.processNode.referenceParent.processDependencies, 'Data Dependency')
let dataDependencies = TS.projects.superalgos.utilities.nodeFunctions.nodeBranchToArray(bot.processNode.referenceParent.processDependencies, 'Data Dependency')
/*
We will filter ourt declared dependencies that are not present in the workspace.
This will allow the user to have less Data Mines loaded at the workspace
@@ -565,7 +565,7 @@
if (commons.validateDataDependencies(dataDependencies, callBackFunction) !== true) { return }
let outputDatasets = TS.projects.superalgos.utilities.nodeFunctions.nodeBrachToArray(bot.processNode.referenceParent.processOutput, 'Output Dataset')
let outputDatasets = TS.projects.superalgos.utilities.nodeFunctions.nodeBranchToArray(bot.processNode.referenceParent.processOutput, 'Output Dataset')
if (commons.validateOutputDatasets(outputDatasets, callBackFunction) !== true) { return }
/* The second phase is about transforming the inputs into a format that can be used to apply the user defined code. */
@@ -624,7 +624,7 @@
}
async function writeProcessFiles() {
let outputDatasets = TS.projects.superalgos.utilities.nodeFunctions.nodeBrachToArray(bot.processNode.referenceParent.processOutput, 'Output Dataset')
let outputDatasets = TS.projects.superalgos.utilities.nodeFunctions.nodeBranchToArray(bot.processNode.referenceParent.processOutput, 'Output Dataset')
await writeTimeFramesFiles(currentTimeFrame, currentTimeFrameLabel)
await writeDataRanges()
TaskServer/LowFrequencyTrading/TradingRecords.js
+1 -1
View File
@@ -37,7 +37,7 @@ exports.newTradingRecords = function newTradingRecords(bot, logger) {
we have a pointer to the node that have the information we need to extract.
Later, based on the product record definition we will extract each individual value.
*/
let outputDatasets = TS.projects.superalgos.utilities.nodeFunctions.nodeBrachToArray(bot.processNode.referenceParent.processOutput, 'Output Dataset')
let outputDatasets = TS.projects.superalgos.utilities.nodeFunctions.nodeBranchToArray(bot.processNode.referenceParent.processOutput, 'Output Dataset')
for (let i = 0; i < outputDatasets.length; i++) {
let outputDatasetNode = outputDatasets[i]
TaskServer/LowFrequencyTrading/TradingSimulation.js
+1 -1
View File
@@ -313,7 +313,7 @@ exports.newTradingSimulation = function (processIndex, bot, logger, tradingEngin
easy access to the current candle for instance, or the current bollinger band, meaning the one the Simulation is currently standing at.
For that reason we do the following processing, to have at the chart data structure the current objects of each indicator / time frame.
*/
let dataDependencies = TS.projects.superalgos.utilities.nodeFunctions.nodeBrachToArray(bot.processNode.referenceParent.processDependencies, 'Data Dependency')
let dataDependencies = TS.projects.superalgos.utilities.nodeFunctions.nodeBranchToArray(bot.processNode.referenceParent.processDependencies, 'Data Dependency')
dataDependencies = TS.projects.superalgos.utilities.nodeFunctions.filterOutNodeWihtoutReferenceParentFromNodeArray(dataDependencies)
/* Finding the Current Element on Market Files */
TaskServer/MultiPeriodDaily.js
+1 -1
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@@ -467,7 +467,7 @@
}
function writeDataRanges(callBack) {
let outputDatasets = TS.projects.superalgos.utilities.nodeFunctions.nodeBrachToArray(bot.processNode.referenceParent.processOutput, 'Output Dataset')
let outputDatasets = TS.projects.superalgos.utilities.nodeFunctions.nodeBranchToArray(bot.processNode.referenceParent.processOutput, 'Output Dataset')
let outputDatasetIndex = -1;
controlLoop()
TaskServer/MultiPeriodMarket.js
+1 -1
View File
@@ -141,7 +141,7 @@
}
function writeTimeFramesFiles(callBack) {
let outputDatasets = TS.projects.superalgos.utilities.nodeFunctions.nodeBrachToArray (bot.processNode.referenceParent.processOutput, 'Output Dataset')
let outputDatasets = TS.projects.superalgos.utilities.nodeFunctions.nodeBranchToArray (bot.processNode.referenceParent.processOutput, 'Output Dataset')
let outputDatasetIndex = -1;
controlLoop()
TaskServer/ProcessOutput.js
+2 -2
View File
@@ -20,7 +20,7 @@
/* We will reaise the events for the datasets impacted by the process that just finished. */
if (bot.processNode.referenceParent.processOutput !== undefined) {
let outputDatasets = TS.projects.superalgos.utilities.nodeFunctions.nodeBrachToArray(bot.processNode.referenceParent.processOutput, 'Output Dataset')
let outputDatasets = TS.projects.superalgos.utilities.nodeFunctions.nodeBranchToArray(bot.processNode.referenceParent.processOutput, 'Output Dataset')
for (let j = 0; j < outputDatasets.length; j++) {
let outputDataset = outputDatasets[j]
@@ -110,7 +110,7 @@
function asyncRaiseEvents(lastFile, timeFrames) {
if (bot.processNode.referenceParent.processOutput !== undefined) {
let outputDatasets = TS.projects.superalgos.utilities.nodeFunctions.nodeBrachToArray(bot.processNode.referenceParent.processOutput, 'Output Dataset')
let outputDatasets = TS.projects.superalgos.utilities.nodeFunctions.nodeBranchToArray(bot.processNode.referenceParent.processOutput, 'Output Dataset')
for (let j = 0; j < outputDatasets.length; j++) {
let outputDataset = outputDatasets[j]
TaskServer/ReinforcementLearning/LearningProcess.js
+3 -3
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@@ -555,7 +555,7 @@ exports.newLearningProcess = function (processIndex, bot, logger, UTILITIES) {
let mainDependency = {}
/* The first phase here is about checking that we have everything we need at the definition level. */
let dataDependencies = TS.projects.superalgos.utilities.nodeFunctions.nodeBrachToArray(bot.processNode.referenceParent.processDependencies, 'Data Dependency')
let dataDependencies = TS.projects.superalgos.utilities.nodeFunctions.nodeBranchToArray(bot.processNode.referenceParent.processDependencies, 'Data Dependency')
/*
We will filter ourt declared dependencies that are not present in the workspace.
This will allow the user to have less Data Mines loaded at the workspace
@@ -565,7 +565,7 @@ exports.newLearningProcess = function (processIndex, bot, logger, UTILITIES) {
if (commons.validateDataDependencies(dataDependencies, callBackFunction) !== true) { return }
let outputDatasets = TS.projects.superalgos.utilities.nodeFunctions.nodeBrachToArray(bot.processNode.referenceParent.processOutput, 'Output Dataset')
let outputDatasets = TS.projects.superalgos.utilities.nodeFunctions.nodeBranchToArray(bot.processNode.referenceParent.processOutput, 'Output Dataset')
if (commons.validateOutputDatasets(outputDatasets, callBackFunction) !== true) { return }
/* The second phase is about transforming the inputs into a format that can be used to apply the user defined code. */
@@ -624,7 +624,7 @@ exports.newLearningProcess = function (processIndex, bot, logger, UTILITIES) {
}
async function writeProcessFiles() {
let outputDatasets = TS.projects.superalgos.utilities.nodeFunctions.nodeBrachToArray(bot.processNode.referenceParent.processOutput, 'Output Dataset')
let outputDatasets = TS.projects.superalgos.utilities.nodeFunctions.nodeBranchToArray(bot.processNode.referenceParent.processOutput, 'Output Dataset')
await writeTimeFramesFiles(currentTimeFrame, currentTimeFrameLabel)
await writeDataRanges()