def pushImagesDS(self, image):
resultsFilename = _verifyResultsFilename(
genResultFileName(image.seriesName))
self.queueName = resultsFilename
debugPrint('Results file = %s' % resultsFilename)
self.resultsMdh = MetaDataHandler.NestedClassMDHandler(
self.analysisMDH)
self.resultsMdh['DataFileID'] = fileID.genDataSourceID(
image.dataSource)
mn = image.dataSource.moduleName
#dsID = self.image.seriesName
#if it's a buffered source, go back to underlying source
if mn == 'BufferedDataSource':
mn = image.dataSource.dataSource.moduleName
self.tq.createQueue('DSTaskQueue',
self.queueName,
self.resultsMdh,
mn,
image.seriesName,
resultsFilename,
startAt=self.analysisMDH['Analysis.StartAt'])
evts = image.dataSource.getEvents()
if len(evts) > 0:
self.tq.addQueueEvents(self.queueName, evts)
debugPrint('Queue created')
self.onImagesPushed.send(self)
def pushImagesHDF(self, image):
dataFilename = image.seriesName
resultsFilename = _verifyResultsFilename(
genResultFileName(image.seriesName))
self.queueName = resultsFilename
self.tq.createQueue('HDFTaskQueue',
self.queueName,
dataFilename=dataFilename,
resultsFilename=resultsFilename,
startAt='notYet')
mdhQ = MetaDataHandler.QueueMDHandler(self.tq, self.queueName,
self.analysisMDH)
mdhQ['DataFileID'] = fileID.genDataSourceID(image.dataSource)
# evts = self.image.dataSource.getEvents()
# if len(evts) > 0:
# self.tq.addQueueEvents(self.image.seriesName, evts)
self.resultsMdh = mdhQ
self.tq.releaseTasks(self.queueName,
self.analysisMDH['Analysis.StartAt'])
self.onImagesPushed.send(self)
def pushImagesHDF(startingAt=0, detThresh=.9, fitFcn='LatGaussFitFR'):
global seriesName
dataFilename = seriesName
resultsFilename = genResultFileName(seriesName)
while os.path.exists(resultsFilename):
di, fn = os.path.split(resultsFilename)
fdialog = wx.FileDialog(
None,
'Analysis file already exists, please select a new filename',
wildcard='H5R files|*.h5r',
defaultDir=di,
defaultFile=os.path.splitext(fn)[0] + '_1.h5r',
style=wx.FD_SAVE)
succ = fdialog.ShowModal()
if (succ == wx.ID_OK):
resultsFilename = fdialog.GetPath()
else:
raise RuntimeError('Invalid results file - not running')
seriesName = resultsFilename
tq.createQueue('HDFTaskQueue',
seriesName,
dataFilename=dataFilename,
resultsFilename=resultsFilename,
startAt='notYet')
mdhQ = MetaDataHandler.QueueMDHandler(tq, seriesName, mdh)
mdhQ.setEntry('Analysis.DetectionThreshold', detThresh)
mdhQ.setEntry('Analysis.FitModule', fitFcn)
mdhQ.setEntry('Analysis.DataFileID', fileID.genDataSourceID(dataSource))
evts = dataSource.getEvents()
if len(evts) > 0:
tq.addQueueEvents(seriesName, evts)
tq.releaseTasks(seriesName, startingAt)
def pushImagesQueue(self, image):
image.mdh.copyEntriesFrom(self.analysisMDH)
self.queueName = image.seriesName
self.resultsMdh = image.mdh
self.resultsMdh['DataFileID'] = fileID.genDataSourceID(
image.dataSource)
self.tq.releaseTasks(self.queueName,
self.analysisMDH['Analysis.StartAt'])
self.onImagesPushed.send(self)
def pushImagesCluster(self, image):
from PYME.cluster import HTTPRulePusher
resultsFilename = _verifyClusterResultsFilename(
genClusterResultFileName(image.filename))
logging.debug('Results file: ' + resultsFilename)
self.resultsMdh = MetaDataHandler.NestedClassMDHandler(
self.analysisMDH)
self.resultsMdh['DataFileID'] = fileID.genDataSourceID(
image.dataSource)
self.pusher = HTTPRulePusher.HTTPRulePusher(
dataSourceID=image.filename,
metadata=self.resultsMdh,
resultsFilename=resultsFilename)
self.queueName = self.pusher.queueID
self.results_filename = resultsFilename
debugPrint('Queue created')
self.onImagesPushed.send(self)
def pushImagesQueue(startingAt=0, detThresh = .9, fitFcn='LatGaussFitFR'):
mdh.setEntry('Analysis.DetectionThreshold', detThresh)
mdh.setEntry('Analysis.FitModule', fitFcn)
mdh.setEntry('Analysis.DataFileID', fileID.genDataSourceID(dataSource))
tq.releaseTasks(seriesName, startingAt)