Add API to process autoPROC results

dataproc/api/views/autoproc_input_view.py

+# Python imports
+import json
+import logging
+import sys
+
+# Django imports
+from django.http import JsonResponse
+from django.views.decorators.csrf import csrf_exempt
+
+# Models imports
+from api.models.report_model import Report
+
+# Activate logger for debugging
+logger=logging.getLogger('dataproc')
+# logger.info('TEMPLATE')
+
+@csrf_exempt
+def storeautoProcInput(request):
+
+    """
+    Parse JSON data and call store functions for each model
+    """
+
+    if request.method=='POST':
+        json_data=json.loads(request.body)
+        json_data_report=json_data
+
+        try:
+            report=storeParseReport(json_data_report)
+
+            return JsonResponse({"STATUS": "INPUT SUCCESSFULLY REGISTERED"})
+        
+        except :
+            return JsonResponse({"STATUS":"ERROR OCCURRED"}, safe=False)
+
+@csrf_exempt
+def storeParseReport(data):
+
+    """
+    Creates nodes and relationships for each report with relative properties
+    """
+
+    try:      
+        autoproccontainer=data['AutoProcContainer']['AutoProc']
+        autoprocscalingcontainer=data['AutoProcContainer']['AutoProcScalingContainer']['AutoProcScaling']
+        autoprocscalingstatistics=data['AutoProcContainer']['AutoProcScalingContainer']['AutoProcScalingStatistics']
+
+        report=Report(refinedCell_beta=autoproccontainer['refinedCell_beta'],
+            refinedCell_b=autoproccontainer['refinedCell_b'],
+            wavelength=autoproccontainer['wavelength'],
+            refinedCell_a=autoproccontainer['refinedCell_a'],
+            refinedCell_alpha=autoproccontainer['refinedCell_alpha'],
+            spaceGroup=autoproccontainer['spaceGroup'],
+            refinedCell_c=autoproccontainer['refinedCell_c'],
+            refinedCell_gamma=autoproccontainer['refinedCell_gamma'],
+
+            recordTimeStamp=autoprocscalingcontainer['recordTimeStamp'],
+            resolutionEllipsoidAxis13=autoprocscalingcontainer['resolutionEllipsoidAxis13'],
+            resolutionEllipsoidAxis33=autoprocscalingcontainer['resolutionEllipsoidAxis33'],
+            resolutionEllipsoidAxis23=autoprocscalingcontainer['resolutionEllipsoidAxis23'],
+            resolutionEllipsoidValue2=autoprocscalingcontainer['resolutionEllipsoidValue2'],
+            resolutionEllipsoidAxis21=autoprocscalingcontainer['resolutionEllipsoidAxis21'],
+            resolutionEllipsoidAxis31=autoprocscalingcontainer['resolutionEllipsoidAxis31'],
+            resolutionEllipsoidAxis22=autoprocscalingcontainer['resolutionEllipsoidAxis22'],
+            resolutionEllipsoidAxis32=autoprocscalingcontainer['resolutionEllipsoidAxis32'],
+            resolutionEllipsoidValue3=autoprocscalingcontainer['resolutionEllipsoidValue3'],
+            resolutionEllipsoidAxis12=autoprocscalingcontainer['resolutionEllipsoidAxis12'],
+            resolutionEllipsoidValue1=autoprocscalingcontainer['resolutionEllipsoidValue1'],
+            resolutionEllipsoidAxis11=autoprocscalingcontainer['resolutionEllipsoidAxis11'],
+
+            innerShell_multiplicity=autoprocscalingstatistics['innerShell']['multiplicity'],
+            innerShell_resolutionLimitLow=autoprocscalingstatistics['innerShell']['resolutionLimitLow'],
+            innerShell_rMeasWithinIPlusIMinus=autoprocscalingstatistics['innerShell']['rMeasWithinIPlusIMinus'],
+            innerShell_DanoOverSigDano=autoprocscalingstatistics['innerShell']['DanoOverSigDano'],
+            innerShell_completenessSpherical=autoprocscalingstatistics['innerShell']['completenessSpherical'],
+            innerShell_nTotalUniqueObservations=autoprocscalingstatistics['innerShell']['nTotalUniqueObservations'],
+            innerShell_rMerge=autoprocscalingstatistics['innerShell']['rMerge'],
+            innerShell_rPimWithinIPlusIMinus=autoprocscalingstatistics['innerShell']['rPimWithinIPlusIMinus'],
+            innerShell_anomalousCompletenessEllipsoidal=autoprocscalingstatistics['innerShell']['anomalousCompletenessEllipsoidal'],
+            innerShell_nTotalObservations=autoprocscalingstatistics['innerShell']['nTotalObservations'],
+            innerShell_completenessEllipsoidal=autoprocscalingstatistics['innerShell']['completenessEllipsoidal'],
+            innerShell_anomalousCompleteness=autoprocscalingstatistics['innerShell']['anomalousCompleteness'],
+            innerShell_anomalousMultiplicity=autoprocscalingstatistics['innerShell']['anomalousMultiplicity'],
+            innerShell_resolutionLimitHigh=autoprocscalingstatistics['innerShell']['resolutionLimitHigh'],
+            innerShell_completeness=autoprocscalingstatistics['innerShell']['completeness'],
+            innerShell_ccHalf=autoprocscalingstatistics['innerShell']['ccHalf'],
+            innerShell_rPimAllIPlusIMinus=autoprocscalingstatistics['innerShell']['rPimAllIPlusIMinus'],
+            innerShell_meanIOverSigI=autoprocscalingstatistics['innerShell']['meanIOverSigI'],
+            innerShell_anomalousCompletenessSpherical=autoprocscalingstatistics['innerShell']['anomalousCompletenessSpherical'],
+            innerShell_ccAnomalous=autoprocscalingstatistics['innerShell']['ccAnomalous'],
+            innerShell_rMeasAllIPlusIMinus=autoprocscalingstatistics['innerShell']['rMeasAllIPlusIMinus'],
+
+            outerShell_multiplicity=autoprocscalingstatistics['outerShell']['multiplicity'],
+            outerShell_resolutionLimitLow=autoprocscalingstatistics['outerShell']['resolutionLimitLow'],
+            outerShell_rMeasWithinIPlusIMinus=autoprocscalingstatistics['outerShell']['rMeasWithinIPlusIMinus'],
+            outerShell_DanoOverSigDano=autoprocscalingstatistics['outerShell']['DanoOverSigDano'],
+            outerShell_completenessSpherical=autoprocscalingstatistics['outerShell']['completenessSpherical'],
+            outerShell_nTotalUniqueObservations=autoprocscalingstatistics['outerShell']['nTotalUniqueObservations'],
+            outerShell_rMerge=autoprocscalingstatistics['outerShell']['rMerge'],
+            outerShell_rPimWithinIPlusIMinus=autoprocscalingstatistics['outerShell']['rPimWithinIPlusIMinus'],
+            outerShell_anomalousCompletenessEllipsoidal=autoprocscalingstatistics['outerShell']['anomalousCompletenessEllipsoidal'],
+            outerShell_nTotalObservations=autoprocscalingstatistics['outerShell']['nTotalObservations'],
+            outerShell_completenessEllipsoidal=autoprocscalingstatistics['outerShell']['completenessEllipsoidal'],
+            outerShell_anomalousCompleteness=autoprocscalingstatistics['outerShell']['anomalousCompleteness'],
+            outerShell_anomalousMultiplicity=autoprocscalingstatistics['outerShell']['anomalousMultiplicity'],
+            outerShell_resolutionLimitHigh=autoprocscalingstatistics['outerShell']['resolutionLimitHigh'],
+            outerShell_completeness=autoprocscalingstatistics['outerShell']['completeness'],
+            outerShell_ccHalf=autoprocscalingstatistics['outerShell']['ccHalf'],
+            outerShell_rPimAllIPlusIMinus=autoprocscalingstatistics['outerShell']['rPimAllIPlusIMinus'],
+            outerShell_meanIOverSigI=autoprocscalingstatistics['outerShell']['meanIOverSigI'],
+            outerShell_anomalousCompletenessSpherical=autoprocscalingstatistics['outerShell']['anomalousCompletenessSpherical'],
+            outerShell_ccAnomalous=autoprocscalingstatistics['outerShell']['ccAnomalous'],
+            outerShell_rMeasAllIPlusIMinus=autoprocscalingstatistics['outerShell']['rMeasAllIPlusIMinus'],
+
+            overall_multiplicity=autoprocscalingstatistics['overall']['multiplicity'],
+            overall_resolutionLimitLow=autoprocscalingstatistics['overall']['resolutionLimitLow'],
+            overall_rMeasWithinIPlusIMinus=autoprocscalingstatistics['overall']['rMeasWithinIPlusIMinus'],
+            overall_DanoOverSigDano=autoprocscalingstatistics['overall']['DanoOverSigDano'],
+            overall_completenessSpherical=autoprocscalingstatistics['overall']['completenessSpherical'],
+            overall_nTotalUniqueObservations=autoprocscalingstatistics['overall']['nTotalUniqueObservations'],
+            overall_rMerge=autoprocscalingstatistics['overall']['rMerge'],
+            overall_rPimWithinIPlusIMinus=autoprocscalingstatistics['overall']['rPimWithinIPlusIMinus'],
+            overall_anomalousCompletenessEllipsoidal=autoprocscalingstatistics['overall']['anomalousCompletenessEllipsoidal'],
+            overall_nTotalObservations=autoprocscalingstatistics['overall']['nTotalObservations'],
+            overall_completenessEllipsoidal=autoprocscalingstatistics['overall']['completenessEllipsoidal'],
+            overall_anomalousCompleteness=autoprocscalingstatistics['overall']['anomalousCompleteness'],
+            overall_anomalousMultiplicity=autoprocscalingstatistics['overall']['anomalousMultiplicity'],
+            overall_resolutionLimitHigh=autoprocscalingstatistics['overall']['resolutionLimitHigh'],
+            overall_completeness=autoprocscalingstatistics['overall']['completeness'],
+            overall_ccHalf=autoprocscalingstatistics['overall']['ccHalf'],
+            overall_rPimAllIPlusIMinus=autoprocscalingstatistics['overall']['rPimAllIPlusIMinus'],
+            overall_meanIOverSigI=autoprocscalingstatistics['overall']['meanIOverSigI'],
+            overall_anomalousCompletenessSpherical=autoprocscalingstatistics['overall']['anomalousCompletenessSpherical'],
+            overall_ccAnomalous=autoprocscalingstatistics['overall']['ccAnomalous'],
+            overall_rMeasAllIPlusIMinus=autoprocscalingstatistics['overall']['rMeasAllIPlusIMinus'])
+
+        report.save()
+        return report.serialize
+        logger.info("SAVED THE DATA")
+
+    except:
+        return ({"STATUS": "ERROR OCCURRED WHILE REGISTERING REPORT"})
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