{"action":"created","comment":{"url":"https://api.github.com/repos/acquaman/acquaman/pulls/comments/46191368","id":46191368,"diff_hunk":"@@ -22,14 +28,150 @@ SGMLineScanController::~SGMLineScanController()\n \n void SGMLineScanController::onAxisFinished()\n {\n-\t// PUT CODE IN HERE DAVE\n+\t// STEP 1: Data Checks & Meta Info Collection\n+\tif(!generateAnalysisMetaInfo())\n+\t\treturn;\n+\t// END OF STEP 1\n+\n+\t// STEP 2: Retrieve and remap the scaler data into vectors for each channel\n+\tif(!generateScalerMaps())\n+\t\treturn;\n+\n+\tQMap<QString, QVector<qint32> > scalerChannelVectors = SGMBeamline::sgm()->amdsScaler()->retrieveScalerData(scalerChannelIndexMap_, clientDataRequestMap_.value(SGMBeamline::sgm()->amdsScaler()->amdsBufferName()));\n+\t// END OF STEP 2\n+\n+\t// STEP 3: Rebase\n+\tint largestBaseTimeScale = 0;\n+\tfor(int x = 0, size = timeScales_.count(); x < size; x++)\n+\t\tif(timeScales_.at(x) > largestBaseTimeScale)\n+\t\t\tlargestBaseTimeScale = timeScales_.at(x);\n+\n+\t// Rebase the scaler or copy if no change in scale\n+\tQMap<QString, QVector<qint32> > scalerChannelRebaseVectors;\n+\tif(scalerChannelDetectors_.first()->amdsPollingBaseTimeMilliseconds() < largestBaseTimeScale)\n+\t\tscalerChannelRebaseVectors = SGMBeamline::sgm()->amdsScaler()->rebaseScalerData(scalerChannelVectors, largestBaseTimeScale);\n+\telse{\n+\t\tQMap<QString, QVector<qint32> >::const_iterator l = scalerChannelVectors.constBegin();\n+\t\twhile(l != scalerChannelVectors.constEnd()){\n+\t\t\tscalerChannelRebaseVectors.insert(l.key(), l.value());\n+\t\t\tl++;\n+\t\t}\n+\t}\n+\n+\t// This should never happen, but what if it did?\n+\tif(!amptekDetectors_.isEmpty() && amptekDetectors_.first()->amdsPollingBaseTimeMilliseconds() < largestBaseTimeScale){\n+\t\t// what to do here?\n+\t}\n+\t// END OF STEP 3\n+\n+\t// STEP 4: Find Motion Start Indices\n+\tint expectedDuration = double(continuousConfiguration_->scanAxes().at(0)->regionAt(0)->regionTime())*1000/largestBaseTimeScale;\n+\n+\tAMDetectorContinuousMotionRangeData amptekRangeData;\n+\tif(!amptekDetectors_.isEmpty()){\n+\t\tCLSAmptekSDD123DetectorNew *highestAverageAmptekDetector = 0;\n+\t\tQMap<CLSAmptekSDD123DetectorNew*, CLSAmptekSDD123DetectorGeneralPurposeCounterData> generalPurposeCounters;\n+\t\tforeach(CLSAmptekSDD123DetectorNew* amptekDetector, amptekDetectors_){\n+\t\t\tgeneralPurposeCounters.insert(amptekDetector, amptekDetector->retrieveGeneralPurposeCounterData(clientDataRequestMap_.value(amptekDetector->amdsBufferName())));\n+\t\t\tif(!highestAverageAmptekDetector || (generalPurposeCounters.value(amptekDetector).averageValue() > generalPurposeCounters.value(highestAverageAmptekDetector).averageValue()) )\n+\t\t\t\thighestAverageAmptekDetector = amptekDetector;\n+\t\t}\n+\n+\t\tQList<QVector<qint32> > amptekBaseData;\n+\t\tamptekBaseData << generalPurposeCounters.value(highestAverageAmptekDetector).generalPurposeCounterVector();\n+\t\tamptekRangeData = highestAverageAmptekDetector->retrieveContinuousMotionRangeData(amptekBaseData, expectedDuration, 5);\n+\t}\n+\n+\n+\tint scalerInitiateMovementIndex = 0;\n+\tQList<QVector<qint32> > scalerBaseData;\n+\tscalerBaseData << scalerChannelRebaseVectors.value(\"HexapodRed\") << scalerChannelRebaseVectors.value(\"HexapodBlack\");\n+\tAMDetectorContinuousMotionRangeData scalerRangeData = scalerChannelDetectors_.first()->retrieveContinuousMotionRangeData(scalerBaseData, expectedDuration, 5);\n+\tif(scalerRangeData.isValid())\n+\t\tscalerInitiateMovementIndex = scalerRangeData.motionStartIndex();\n+\n+\tqDebug() << \"Amptek: \" << amptekRangeData.motionStartIndex() << amptekRangeData.motionEndIndex() << amptekRangeData.listIndex();\n+\tqDebug() << \"Hexapod Scaler: \" << scalerRangeData.motionStartIndex() << scalerRangeData.motionEndIndex() << scalerRangeData.listIndex();\n+\n+\tQVector<qint32> hexapodRedVector = scalerChannelRebaseVectors.value(\"HexapodRed\");\n+\t// END OF STEP 4\n+\n+\t// STEP 5: Generate the Axis Values \"In Order\"\n+\tQVector<double> globalXRecorderData = dataRecorderMap_.value(\"HexapodXRecorder\");\n+\tQVector<double> globalYRecorderData = dataRecorderMap_.value(\"HexapodYRecorder\");\n+\tQVector<double> globalZRecorderData = dataRecorderMap_.value(\"HexapodZRecorder\");\n+\tQList<QVector3D> globalCoordinateRecorderPositions;\n+\tfor(int x = 0, size = globalXRecorderData.count(); x < size; x++)\n+\t\tglobalCoordinateRecorderPositions.append(QVector3D(globalXRecorderData.at(x), globalYRecorderData.at(x), globalZRecorderData.at(x)));\n+\n+\tQList<QVector3D> primeCoordinateRecorderPositions = SGMBeamline::sgm()->hexapod()->transformVectors(globalCoordinateRecorderPositions);\n+\tint axisIndex = 0;\n+\tif(AMBeamline::bl()->exposedControlByInfo(configuration_->axisControlInfos().at(0)) == SGMBeamline::sgm()->hexapod()->yAxisPrimeControl())\n+\t\taxisIndex = 1;\n+\telse if(AMBeamline::bl()->exposedControlByInfo(configuration_->axisControlInfos().at(0)) == SGMBeamline::sgm()->hexapod()->zAxisPrimeControl())\n+\t\taxisIndex = 2;\n+\t// END OF STEP 5\n+\n+\n+\t// STEP 6: Place Data\n+\tCLSAMDSScalerChannelDetector *asScalerChannelDetector = 0;\n+\tAMDSLightWeightGenericFlatArrayDataHolder *dataHolderAsGenericFlatArrayDataHolder = 0;\n+\tfor(int x = scalerInitiateMovementIndex, size = hexapodRedVector.count(); (x < size) && (x < 200); x++){\n+\n+\t\tscan_->rawData()->beginInsertRows(1, -1);\n+\t\tif(axisIndex == 0)\n+\t\t\tscan_->rawData()->setAxisValue(0, insertionIndex_.i(), primeCoordinateRecorderPositions.at(x-scalerInitiateMovementIndex).x());\n+\t\telse if(axisIndex == 1)\n+\t\t\tscan_->rawData()->setAxisValue(0, insertionIndex_.i(), primeCoordinateRecorderPositions.at(x-scalerInitiateMovementIndex).y());\n+\t\telse\n+\t\t\tscan_->rawData()->setAxisValue(0, insertionIndex_.i(), primeCoordinateRecorderPositions.at(x-scalerInitiateMovementIndex).z());\n+\n+\t\tfor(int y = 0, ySize = generalConfig_->detectorConfigurations().count(); y < ySize; y++){\n+\t\t\tAMDetector *oneDetector = AMBeamline::bl()->exposedDetectorByInfo(generalConfig_->detectorConfigurations().at(y));\n+\n+\t\t\tasScalerChannelDetector = qobject_cast<CLSAMDSScalerChannelDetector*>(oneDetector);\n+\t\t\tif(!asScalerChannelDetector){\n+\t\t\t\tdataHolderAsGenericFlatArrayDataHolder = qobject_cast<AMDSLightWeightGenericFlatArrayDataHolder*>(clientDataRequestMap_.value(oneDetector->amdsBufferName())->data().at(x));\n+\t\t\t\tscan_->rawData()->setValue(insertionIndex_, scan_->rawData()->idOfMeasurement(oneDetector->name()), dataHolderAsGenericFlatArrayDataHolder->dataArray().asConstVectorDouble().constData());\n+\t\t\t}\n+\t\t}\n+\n+\t\tQMap<int, QString>::const_iterator i = scalerChannelIndexMap_.constBegin();\n+\t\twhile(i != scalerChannelIndexMap_.constEnd()){\n+\t\t\tscan_->rawData()->setValue(insertionIndex_, scan_->rawData()->idOfMeasurement(i.value()), AMnDIndex(), scalerChannelRebaseVectors.value(i.value()).at(x));\n+\t\t\ti++;\n+\t\t}\n+\n+\t\tscan_->rawData()->endInsertRows();\n+\t\tinsertionIndex_[0] = insertionIndex_.i()+1;\n+\t}\n+\t// END OF STEP 6\n+\n+\t// STEP 7: Clean Up\n+\tQMap<QString, AMDSClientDataRequest*>::const_iterator j = clientDataRequestMap_.constBegin();\n+\twhile(j != clientDataRequestMap_.constEnd()){\n+\t\tj.value()->deleteLater();\n+\t\tj++;\n+\t}\n+\n+\tonScanningActionsSucceeded();\n+\t// END OF STEP 7\n }\n \n void SGMLineScanController::fillDataMaps(AMAgnosticDataAPIDataAvailableMessage *message)\n {\n+\tqDebug() << \"Got a fillDataMaps call with \" << message->messageType();\n \t// PLACE HOLDER CODE FOR DAVE\n-\tif(message->uniqueID() == \"GratingEncoderFeedback\")\n-\t\tmetaDataMap_.insert(message->uniqueID(), message->value(\"DetectorData\").toList().at(0).toDouble());\n+\tif(message->uniqueID() == \"HexapodXRecorder\" || message->uniqueID() == \"HexapodYRecorder\" || message->uniqueID() == \"HexapodZRecorder\" || message->uniqueID() == \"HexapodTimeRecorder\"){\n+//\t\tmetaDataMap_.insert(message->uniqueID(), message->value(\"DetectorData\").toList().at(0).toDouble());","path":"source/acquaman/SGM/SGMLineScanController.cpp","position":164,"original_position":164,"commit_id":"84704bd7d6dbac2fb4d2700f5223c2db22824317","original_commit_id":"84704bd7d6dbac2fb4d2700f5223c2db22824317","user":{"login":"davidChevrier","id":602742,"avatar_url":"https://avatars.githubusercontent.com/u/602742?v=3","gravatar_id":"","url":"https://api.github.com/users/davidChevrier","html_url":"https://github.com/davidChevrier","followers_url":"https://api.github.com/users/davidChevrier/followers","following_url":"https://api.github.com/users/davidChevrier/following{/other_user}","gists_url":"https://api.github.com/users/davidChevrier/gists{/gist_id}","starred_url":"https://api.github.com/users/davidChevrier/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/davidChevrier/subscriptions","organizations_url":"https://api.github.com/users/davidChevrier/orgs","repos_url":"https://api.github.com/users/davidChevrier/repos","events_url":"https://api.github.com/users/davidChevrier/events{/privacy}","received_events_url":"https://api.github.com/users/davidChevrier/received_events","type":"User","site_admin":false},"body":"Yes, I believe so.","created_at":"2015-11-30T19:36:16Z","updated_at":"2015-11-30T19:36:16Z","html_url":"https://github.com/acquaman/acquaman/pull/1769#discussion_r46191368","pull_request_url":"https://api.github.com/repos/acquaman/acquaman/pulls/1769","_links":{"self":{"href":"https://api.github.com/repos/acquaman/acquaman/pulls/comments/46191368"},"html":{"href":"https://github.com/acquaman/acquaman/pull/1769#discussion_r46191368"},"pull_request":{"href":"https://api.github.com/repos/acquaman/acquaman/pulls/1769"}}},"pull_request":{"url":"https://api.github.com/repos/acquaman/acquaman/pulls/1769","id":52151774,"html_url":"https://github.com/acquaman/acquaman/pull/1769","diff_url":"https://github.com/acquaman/acquaman/pull/1769.diff","patch_url":"https://github.com/acquaman/acquaman/pull/1769.patch","issue_url":"https://api.github.com/repos/acquaman/acquaman/issues/1769","number":1769,"state":"open","locked":false,"title":"Pull Request for Issue1691: 9) Data Recorder/ Scalar Pulse 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