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Commit de9925e1 authored by root's avatar root
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......@@ -46,7 +46,9 @@ def storeProcInput(request):
# json_data_mtz=json_data['dataprocessing']
try:
report=storeParseReport(json_data_report)
create_or_update_test(node_name=Report, unique_properties_dict={"jobid" : "6e83d158-fd27-494a-aa45-90f0fad00432",
"terminationstatus" : "COMPLETED"}, all_properties_dict=None)
# report=storeParseReport(json_data_report)
# ligand=storeParseLigand(json_data_ligand, report)
# storeParseRC(json_data_rc, report)
# storeParsePRC(json_data_prc, ligand)
......@@ -60,6 +62,47 @@ def storeProcInput(request):
except :
return JsonResponse({"STATUS":"ERROR OCCURRED"}, safe=False)
# @csrf_exempt
# def create_or_update_test(node_name, unique_properties_dict, all_properties_dict):
# logger.info("ACTIVATE FUNCTION")
# keyvaluepair=""
# for keys in unique_properties_dict:
# logger.info(keys)
# logger.info(unique_properties_dict[keys])
# keyvaluepair = keyvaluepair + keys + '=' + '\'' + unique_properties_dict[keys] + '\'' + ','
# keyvaluepair=keyvaluepair[:-1]
# logger.info(keyvaluepair)
# # exist=Report.nodes.get(jobid="6e83d158-fd27-494a-aa45-90f0fad00432")
# # logger.info("LOG REPOORT TYPE")
# # logger.info(type(exist))
# # test=exist.serialize
# # logger(test)
# key='jobid'
# # val='6e83d158-fd27-494a-aa45-90f0fad00432'
# all_nodes=Report.nodes
# logger.info("PRINT ALL NODE")
# logger.info(type(all_nodes))
# for node in all_nodes:
# logger.info("PRINT NODE")
# logger.info(node)
# # node = node.serialize
# logger.info("PRINT NODE")
# logger.info(type(node))
# logger.info(node.key)
# if (node[key] == val):
# exist = node
# break
# logger.info("PRINT VALUES")
# logger.info(keyvaluepair)
# logger.info(exist)
@csrf_exempt
def storeParseReport(data):
......@@ -72,7 +115,6 @@ def storeParseReport(data):
autoprocscaling=data['dataprocessing']['processingdata']['AutoProcscaling']
autoprocscalingstatistics=data['dataprocessing']['processingdata']['AutoProcScalingStatistics']
autoproc=data['dataprocessing']['processingdata']['AutoProc']
molprobity=data['ligandfitting']['ligands']['1']['validationstatistics']['molprobity']
report=Report(command=GPhL_pipedream['command'],
jsonversion=GPhL_pipedream['jsonversion'],
......@@ -81,20 +123,16 @@ def storeParseReport(data):
jobid=GPhL_pipedream['jobid'],
gphlpipedream_output=GPhL_pipedream['output'],
version=GPhL_pipedream['version'],
terminationstatus=GPhL_pipedream['terminationstatus'],
molprobitypercentile=molprobity['molprobitypercentile'],
ramaoutlierpercent=molprobity['ramaoutlierpercent'],
cbetadeviations=molprobity['cbetadeviations'],
ramafavoredpercent=molprobity['ramafavoredpercent'],
poorrotamers=molprobity['poorrotamers'],
rmsbonds=molprobity['rmsbonds'],
rmsangles=molprobity['rmsangles'],
clashpercentile=molprobity['clashpercentile'],
poorrotamerspercent=molprobity['poorrotamerspercent'],
clashscore=molprobity['clashscore'],
ramafavored=molprobity['ramafavored'],
molprobityscore=molprobity['molprobityscore'],
ramaoutliers=molprobity['ramaoutliers'],
refinedCell_beta=autoproc['refinedCell_beta'],
refinedCell_b=autoproc['refinedCell_b'],
wavelength=autoproc['wavelength'],
refinedCell_a=autoproc['refinedCell_a'],
refinedCell_alpha=autoproc['refinedCell_alpha'],
spaceGroup=autoproc['spaceGroup'],
refinedCell_c=autoproc['refinedCell_c'],
refinedCell_gamma=autoproc['refinedCell_gamma'],
recordTimeStamp=autoprocscaling['recordTimeStamp'],
resolutionEllipsoidAxis13=autoprocscaling['resolutionEllipsoidAxis13'],
......@@ -174,18 +212,10 @@ def storeParseReport(data):
overall_meanIOverSigI=autoprocscalingstatistics['overall']['meanIOverSigI'],
overall_anomalousCompletenessSpherical=autoprocscalingstatistics['overall']['anomalousCompletenessSpherical'],
overall_ccAnomalous=autoprocscalingstatistics['overall']['ccAnomalous'],
overall_rMeasAllIPlusIMinus=autoprocscalingstatistics['overall']['rMeasAllIPlusIMinus'],
refinedCell_beta=autoproc['refinedCell_beta'],
refinedCell_b=autoproc['refinedCell_b'],
wavelength=autoproc['wavelength'],
refinedCell_a=autoproc['refinedCell_a'],
refinedCell_alpha=autoproc['refinedCell_alpha'],
spaceGroup=autoproc['spaceGroup'],
refinedCell_c=autoproc['refinedCell_c'],
refinedCell_gamma=autoproc['refinedCell_gamma'])
overall_rMeasAllIPlusIMinus=autoprocscalingstatistics['overall']['rMeasAllIPlusIMinus'])
report.save()
logger.info(type(report))
return report.serialize
except:
......@@ -256,8 +286,9 @@ def storeParseRC(data, report):
step=input_rc['step'],
RMSbonds=input_rc['RMSbonds'],
RMSangles=input_rc['RMSangles'],
R=input_rc['R'])
# WatersPresent=input_rc['WatersPresent'])
R=input_rc['R'],
WatersPresent=input_rc['WatersPresent'])
rc.save()
rc2=rc.serialize
connectReportRC(report['report_node_properties']['jobid'], rc2['rc_node_properties']['uuid'])
......@@ -275,9 +306,25 @@ def storeParseLigand(data, report):
"""
try:
# molprobity=data['ligandfitting']['ligands']['1']['validationstatistics']['molprobity']
ligand=Ligand(ligand_id=data['id'],
depositioncoordinates=data['postrefinement']['deposition']['depositioncoordinates'],
depositionreflns=data['postrefinement']['deposition']['depositionreflns'])
depositionreflns=data['postrefinement']['deposition']['depositionreflns'],
molprobitypercentile=molprobity['molprobitypercentile'],
ramaoutlierpercent=molprobity['ramaoutlierpercent'],
cbetadeviations=molprobity['cbetadeviations'],
ramafavoredpercent=molprobity['ramafavoredpercent'],
poorrotamers=molprobity['poorrotamers'],
rmsbonds=molprobity['rmsbonds'],
rmsangles=molprobity['rmsangles'],
clashpercentile=molprobity['clashpercentile'],
poorrotamerspercent=molprobity['poorrotamerspercent'],
clashscore=molprobity['clashscore'],
ramafavored=molprobity['ramafavored'],
molprobityscore=molprobity['molprobityscore'],
ramaoutliers=molprobity['ramaoutliers'])
ligand.save()
ligand2=ligand.serialize
connectReportLigand(report['report_node_properties']['jobid'], ligand2['ligand_node_properties']['uuid'])
......@@ -480,9 +527,3 @@ def connectStructureFactorsMTZ(data1, data2):
except:
return JsonResponse({"STATUS": "ERROR OCCURRED WHILE CONNECTING STRUCTURE FACTORS TO MTZ"}, safe=False)
# def exists(node=None, property=None, value=None):
# filter_node = (":" + node) if node != None else ''
# filter_value = ("{" + property + ": '" + value + "'}") if property != None and value != None else ''
# return cypher_query("MATCH(n" + filter_node + filter_value + ")" + " return count(n) > 0 as exists;" )[0][0][0]
# exists(node='Report')
\ No newline at end of file
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