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David Stirling
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Nov 3, 2020
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import json | ||
import boto3 | ||
import string | ||
import os | ||
import posixpath | ||
class JobQueue(): | ||
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def __init__(self,name=None): | ||
self.sqs = boto3.resource('sqs') | ||
self.queue = self.sqs.get_queue_by_name(QueueName=name+'Queue') | ||
self.inProcess = -1 | ||
self.pending = -1 | ||
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def scheduleBatch(self, data): | ||
msg = json.dumps(data) | ||
response = self.queue.send_message(MessageBody=msg) | ||
print 'Batch sent. Message ID:',response.get('MessageId') | ||
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#project specific stuff | ||
topdirname='' #PROJECTNAME | ||
projectname='' #PROJECTNAME | ||
batchsuffix='' #BATCHNAME | ||
rows=list(string.ascii_uppercase)[0:8] | ||
columns=range(1,13) | ||
sites=range(1,18) | ||
platelist=[] # PLATEFOLDERNAMES | ||
illumpipename='illum.cppipe' | ||
qcpipename='qc.cppipe' | ||
analysispipename='analysis.cppipe' | ||
batchpipenameillum='Batch_data_illum.h5' | ||
batchpipename='Batch_data.h5' | ||
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#not project specific, unless you deviate from the structure | ||
startpath=posixpath.join('projects',topdirname) | ||
pipelinepath=posixpath.join(startpath,os.path.join('workspace/pipelines',batchsuffix)) | ||
illumoutpath=posixpath.join(startpath,os.path.join(batchsuffix,'illum')) | ||
QCoutpath=posixpath.join(startpath,os.path.join('workspace/qc',os.path.join(batchsuffix,'results'))) | ||
analysisoutpath=posixpath.join(startpath,os.path.join('workspace/analysis',batchsuffix)) | ||
inputpath=posixpath.join(startpath,os.path.join('workspace/qc',os.path.join(batchsuffix,'rules'))) | ||
datafilepath=posixpath.join(startpath,os.path.join('workspace/load_data_csv',batchsuffix)) | ||
anlysisoutputstructure="Metadata_Plate/analysis/Metadata_Plate-Metadata_Well-Metadata_Site" | ||
batchpath=posixpath.join(startpath,os.path.join('workspace/batchfiles',batchsuffix)) | ||
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def MakeIllumJobs(mode='repurp'): | ||
illumqueue = JobQueue(projectname+'_Illum') | ||
for toillum in platelist: | ||
if mode=='repurp': | ||
templateMessage_illum = {'Metadata': 'Metadata_Plate='+toillum, | ||
'pipeline': posixpath.join(pipelinepath,illumpipename),'output': illumoutpath, | ||
'input': inputpath, 'data_file':posixpath.join(datafilepath,toillum+'.csv')} | ||
elif mode=='batch': | ||
templateMessage_illum = {'Metadata': 'Metadata_Plate='+toillum, | ||
'pipeline': posixpath.join(batchpath,batchpipenameillum), | ||
'output': illumoutpath, | ||
'input':inputpath, | ||
'data_file': posixpath.join(batchpath,batchpipenameillum) | ||
} | ||
else: | ||
templateMessage_illum = {'Metadata': 'Metadata_Plate='+toillum, | ||
'pipeline': posixpath.join(pipelinepath,illumpipename),'output': illumoutpath, | ||
'input': inputpath, 'data_file':posixpath.join(datafilepath,untruncatedplatedict[toillum],'load_data.csv')} | ||
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illumqueue.scheduleBatch(templateMessage_illum) | ||
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print 'Illum job submitted. Check your queue' | ||
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def MakeQCJobs(repurp=False): | ||
qcqueue = JobQueue(projectname+'_QC') | ||
for toqc in platelist: | ||
for eachrow in rows: | ||
for eachcol in columns: | ||
if repurp==False: | ||
templateMessage_qc = {'Metadata': 'Metadata_Plate='+toqc+',Metadata_Well='+eachrow+'%02d' %eachcol, | ||
'pipeline': posixpath.join(pipelinepath,qcpipename), | ||
'output': QCoutpath, | ||
'input': inputpath, | ||
'data_file': posixpath.join(datafilepath,toqc+'.csv') | ||
} | ||
else: | ||
templateMessage_qc = {'Metadata': 'Metadata_Plate='+toqc+',Metadata_Well='+eachrow+'%02d' %eachcol, | ||
'pipeline': posixpath.join(pipelinepath,qcpipename), | ||
'output': QCoutpath, | ||
'input': inputpath, | ||
'data_file': posixpath.join(datafilepath,untruncatedplatedict[toqc],'load_data.csv') | ||
} | ||
qcqueue.scheduleBatch(templateMessage_qc) | ||
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print 'QC job submitted. Check your queue' | ||
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def MakeQCJobs_persite(repurp=False): | ||
qcqueue = JobQueue(projectname+'_QC') | ||
for toqc in platelist: | ||
for eachrow in rows: | ||
for eachcol in columns: | ||
for eachsite in sites: | ||
if repurp==False: | ||
templateMessage_qc = {'Metadata': 'Metadata_Plate='+toqc+',Metadata_Well='+eachrow+'%02d' %eachcol+',Metadata_Site='+str(eachsite), | ||
'pipeline': posixpath.join(pipelinepath,qcpipename), | ||
'output': QCoutpath, | ||
'input': inputpath, | ||
'data_file': posixpath.join(datafilepath,toqc+'.csv') | ||
} | ||
else: | ||
templateMessage_qc = {'Metadata': 'Metadata_Plate='+toqc+',Metadata_Well='+eachrow+'%02d' %eachcol+',Metadata_Site='+str(eachsite), | ||
'pipeline': posixpath.join(pipelinepath,qcpipename), | ||
'output': QCoutpath, | ||
'input': inputpath, | ||
'data_file': posixpath.join(datafilepath,untruncatedplatedict[toqc],'load_data.csv') | ||
} | ||
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qcqueue.scheduleBatch(templateMessage_qc) | ||
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print 'QC job submitted. Check your queue' | ||
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def MakeAnalysisJobs(mode='repurp'): | ||
analysisqueue = JobQueue(projectname+'_Analysis') | ||
for toanalyze in platelist: | ||
for eachrow in rows: | ||
for eachcol in columns: | ||
for eachsite in sites: | ||
if mode=='repurp': | ||
templateMessage_analysis = {'Metadata': 'Metadata_Plate='+toanalyze+',Metadata_Well='+eachrow+'%02d' %eachcol+',Metadata_Site='+str(eachsite), | ||
'pipeline': posixpath.join(pipelinepath,analysispipename), | ||
'output': analysisoutpath, | ||
'output_structure':anlysisoutputstructure, | ||
'input':inputpath, | ||
'data_file': posixpath.join(datafilepath,toanalyze+'_with_illum.csv') | ||
} | ||
elif mode=='batch': | ||
templateMessage_analysis = {'Metadata': 'Metadata_Plate='+toanalyze+',Metadata_Well='+eachrow+'%02d' %eachcol+',Metadata_Site='+str(eachsite), | ||
'pipeline': posixpath.join(batchpath,batchpipename), | ||
'output': analysisoutpath, | ||
'output_structure':anlysisoutputstructure, | ||
'input':inputpath, | ||
'data_file': posixpath.join(batchpath,batchpipename) | ||
} | ||
else: | ||
templateMessage_analysis = {'Metadata': 'Metadata_Plate='+toanalyze+',Metadata_Well='+eachrow+'%02d' %eachcol+',Metadata_Site='+str(eachsite), | ||
'pipeline': posixpath.join(pipelinepath,analysispipename), | ||
'output': analysisoutpath, | ||
'output_structure':anlysisoutputstructure, | ||
'input':inputpath, | ||
'data_file': posixpath.join(datafilepath,untruncatedplatedict[toanalyze],'load_data_with_illum.csv') | ||
} | ||
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analysisqueue.scheduleBatch(templateMessage_analysis) | ||
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print 'Analysis job submitted. Check your queue' | ||
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#MakeIllumJobs(mode='batch') | ||
#MakeQCJobs(repurp=True) | ||
#MakeQCJobs_persite(repurp=True) | ||
#MakeAnalysisJobs(mode='batch') | ||
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