def test_default_stickers(self):
"""https://jira.bikalabs.com/browse/WINE-44: display SampleID or
SamplePartition ID depending on bikasetup.ShowPartitions value
"""
folder = self.portal.bika_setup.bika_analysisservices
services = [_createObjectByType("AnalysisService", folder, tmpID()),
_createObjectByType("AnalysisService", folder, tmpID())]
services[0].processForm()
services[1].processForm()
services[0].edit(title="Detect Dust")
services[1].edit(title="Detect water")
service_uids = [s.UID for s in services]
folder = self.portal.clients
client = _createObjectByType("Client", folder, tmpID())
client.processForm()
folder = self.portal.clients.objectValues("Client")[0]
contact = _createObjectByType("Contact", folder, tmpID())
contact.processForm()
contact.edit(Firstname="Bob", Surname="Dobbs", email="*****@*****.**")
folder = self.portal.bika_setup.bika_sampletypes
sampletype = _createObjectByType("SampleType", folder, tmpID())
sampletype.processForm()
sampletype.edit(title="Air", Prefix="AIR")
values = {'Client': client.UID(),
'Contact': contact.UID(),
'SamplingDate': '2015-01-01',
'SampleType': sampletype.UID()}
for stemp in getStickerTemplates():
# create and receive AR
ar = create_analysisrequest(client, {}, values, service_uids)
ar.bika_setup.setShowPartitions(False)
doActionFor(ar, 'receive')
self.assertEquals(ar.portal_workflow.getInfoFor(ar, 'review_state'), 'sample_received')
# check sticker text
ar.REQUEST['items'] = ar.getId()
ar.REQUEST['template'] = stemp.get('id')
sticker = Sticker(ar, ar.REQUEST)()
pid = ar.getSample().objectValues("SamplePartition")[0].getId()
self.assertNotIn(pid, sticker, "Sticker must not contain partition ID %s"%pid)
# create and receive AR
ar = create_analysisrequest(client, {}, values, service_uids)
ar.bika_setup.setShowPartitions(True)
doActionFor(ar, 'receive')
self.assertEquals(ar.portal_workflow.getInfoFor(ar, 'review_state'), 'sample_received')
# check sticker text
ar.REQUEST['items'] = ar.getId()
ar.REQUEST['template'] = stemp.get('id')
sticker = Sticker(ar, ar.REQUEST)()
pid = ar.getSample().objectValues("SamplePartition")[0].getId()
self.assertIn(pid, sticker, "Sticker must contain partition ID %s"%pid)
def __call__(self):
form = self.request.form
bsc = getToolByName(self.context, 'bika_setup_catalog')
# find and remove existing specs
cs = bsc(portal_type = 'AnalysisSpec',
getClientUID = self.context.UID())
if cs:
self.context.manage_delObjects([s.id for s in cs])
# find and duplicate lab specs
ls = bsc(portal_type = 'AnalysisSpec',
getClientUID = self.context.bika_setup.bika_analysisspecs.UID())
ls = [s.getObject() for s in ls]
for labspec in ls:
clientspec = _createObjectByType("AnalysisSpec", self.context, tmpID())
clientspec.processForm()
clientspec.edit(
SampleType = labspec.getSampleType(),
ResultsRange = labspec.getResultsRange(),
)
translate = self.context.translate
message = _("Analysis specifications reset to lab defaults.")
self.context.plone_utils.addPortalMessage(message, 'info')
self.request.RESPONSE.redirect(self.context.absolute_url() +
"/analysisspecs")
return
def addReferenceAnalysis(self, service_uid, reference_type):
""" add an analysis to the sample """
rc = getToolByName(self, REFERENCE_CATALOG)
service = rc.lookupObject(service_uid)
analysis = _createObjectByType("ReferenceAnalysis", self, tmpID())
analysis.unmarkCreationFlag()
calculation = service.getCalculation()
interim_fields = calculation and calculation.getInterimFields() or []
renameAfterCreation(analysis)
# maxtime = service.getMaxTimeAllowed() and service.getMaxTimeAllowed() \
# or {'days':0, 'hours':0, 'minutes':0}
# starttime = DateTime()
# max_days = float(maxtime.get('days', 0)) + \
# (
# (float(maxtime.get('hours', 0)) * 3600 + \
# float(maxtime.get('minutes', 0)) * 60)
# / 86400
# )
# duetime = starttime + max_days
analysis.setReferenceType(reference_type)
analysis.setService(service_uid)
analysis.setInterimFields(interim_fields)
return analysis.UID()
def addReferenceAnalysis(self, service_uid, reference_type):
""" add an analysis to the sample """
rc = getToolByName(self, REFERENCE_CATALOG)
service = rc.lookupObject(service_uid)
analysis = _createObjectByType("ReferenceAnalysis", self, tmpID())
analysis.unmarkCreationFlag()
calculation = service.getCalculation()
interim_fields = calculation and calculation.getInterimFields() or []
renameAfterCreation(analysis)
# maxtime = service.getMaxTimeAllowed() and service.getMaxTimeAllowed() \
# or {'days':0, 'hours':0, 'minutes':0}
# starttime = DateTime()
# max_days = float(maxtime.get('days', 0)) + \
# (
# (float(maxtime.get('hours', 0)) * 3600 + \
# float(maxtime.get('minutes', 0)) * 60)
# / 86400
# )
# duetime = starttime + max_days
analysis.setReferenceType(reference_type)
analysis.setService(service_uid)
analysis.setInterimFields(interim_fields)
return analysis.UID()
def create_sample(context, request, values):
# Retrieve the required tools
uc = getToolByName(context, 'uid_catalog')
# Determine if the sampling workflow is enabled
workflow_enabled = context.bika_setup.getSamplingWorkflowEnabled()
# Create sample or refer to existing for secondary analysis request
if values.get('Sample_uid', ''):
sample = uc(UID=values['Sample'])[0].getObject()
else:
sample = _createObjectByType('Sample', context, tmpID())
# Specifically set the sample type
sample.setSampleType(values['SampleType'])
# Specifically set the sample point
if 'SamplePoint' in values:
sample.setSamplePoint(values['SamplePoint'])
# Specifically set the storage location
if 'StorageLocation' in values:
sample.setStorageLocation(values['StorageLocation'])
# Update the created sample with indicated values
sample.processForm(REQUEST=request, values=values)
# Perform the appropriate workflow action
workflow_action = 'sampling_workflow' if workflow_enabled \
else 'no_sampling_workflow'
context.portal_workflow.doActionFor(sample, workflow_action)
# Set the SampleID
sample.edit(SampleID=sample.getId())
# Return the newly created sample
return sample
def create_service(self, src_uid, dst_title, dst_keyword):
folder = self.context.bika_setup.bika_analysisservices
dst_service = _createObjectByType("AnalysisService", folder, tmpID())
# manually set keyword and title
dst_service.setKeyword(dst_keyword)
dst_service.setTitle(dst_title)
dst_service.unmarkCreationFlag()
_id = renameAfterCreation(dst_service)
dst_service = folder[_id]
return dst_service
def create_service(self, src_uid, dst_title, dst_keyword):
folder = self.context.bika_setup.bika_analysisservices
dst_service = _createObjectByType("AnalysisService", folder, tmpID())
# manually set keyword and title
dst_service.setKeyword(dst_keyword)
dst_service.setTitle(dst_title)
dst_service.unmarkCreationFlag()
_id = renameAfterCreation(dst_service)
dst_service = folder[_id]
return dst_service
def __call__(self):
wf = getToolByName(self.context, 'portal_workflow')
part = _createObjectByType("SamplePartition", self.context, tmpID())
part.processForm()
SamplingWorkflowEnabled = part.bika_setup.getSamplingWorkflowEnabled()
## We force the object to have the same state as the parent
sample_state = wf.getInfoFor(self.context, 'review_state')
changeWorkflowState(part, "bika_sample_workflow", sample_state)
self.request.RESPONSE.redirect(self.context.absolute_url() +
"/partitions")
return
def __call__(self):
wf = getToolByName(self.context, 'portal_workflow')
part = _createObjectByType("SamplePartition", self.context, tmpID())
part.processForm()
SamplingWorkflowEnabled = part.bika_setup.getSamplingWorkflowEnabled()
## We force the object to have the same state as the parent
sample_state = wf.getInfoFor(self.context, 'review_state')
changeWorkflowState(part, "bika_sample_workflow", sample_state)
self.request.RESPONSE.redirect(self.context.absolute_url() +
"/partitions")
return
def __call__(self):
# Validation
form = self.request.form
analyst = self.request.get('analyst', '')
template = self.request.get('template', '')
instrument = self.request.get('instrument', '')
if not analyst:
message = _("Analyst must be specified.")
self.context.plone_utils.addPortalMessage(message, 'info')
self.request.RESPONSE.redirect(self.context.absolute_url())
return
rc = getToolByName(self.context, REFERENCE_CATALOG)
wf = getToolByName(self.context, "portal_workflow")
pm = getToolByName(self.context, "portal_membership")
ws = _createObjectByType("Worksheet", self.context, tmpID())
ws.processForm()
# Set analyst and instrument
ws.setAnalyst(analyst)
if instrument:
ws.setInstrument(instrument)
# overwrite saved context UID for event subscribers
self.request['context_uid'] = ws.UID()
# if no template was specified, redirect to blank worksheet
if not template:
ws.processForm()
self.request.RESPONSE.redirect(ws.absolute_url() + "/add_analyses")
return
wst = rc.lookupObject(template)
ws.setWorksheetTemplate(wst)
ws.applyWorksheetTemplate(wst)
if ws.getLayout():
self.request.RESPONSE.redirect(ws.absolute_url() +
"/manage_results")
else:
msg = _("No analyses were added")
self.context.plone_utils.addPortalMessage(msg)
self.request.RESPONSE.redirect(ws.absolute_url() + "/add_analyses")
def workflow_action_save_partitions_button(self):
form = self.request.form
# Sample Partitions or AR Manage Analyses: save Partition Table
sample = self.context.portal_type == 'Sample' and self.context or\
self.context.getSample()
part_prefix = sample.getId() + "-P"
nr_existing = len(sample.objectIds())
nr_parts = len(form['PartTitle'][0])
# add missing parts
if nr_parts > nr_existing:
for i in range(nr_parts - nr_existing):
part = _createObjectByType("SamplePartition", sample, tmpID())
part.setDateReceived = DateTime()
part.processForm()
# remove excess parts
if nr_existing > nr_parts:
for i in range(nr_existing - nr_parts):
part = sample['%s%s' % (part_prefix, nr_existing - i)]
for a in part.getBackReferences("AnalysisSamplePartition"):
a.setSamplePartition(None)
sample.manage_delObjects([
'%s%s' % (part_prefix, nr_existing - i),
])
# modify part container/preservation
for part_uid, part_id in form['PartTitle'][0].items():
part = sample["%s%s" %
(part_prefix, part_id.split(part_prefix)[1])]
part.edit(
Container=form['getContainer'][0][part_uid],
Preservation=form['getPreservation'][0][part_uid],
)
part.reindexObject()
objects = WorkflowAction._get_selected_items(self)
if not objects:
message = _("No items have been selected")
self.context.plone_utils.addPortalMessage(message, 'info')
if self.context.portal_type == 'Sample':
# in samples his table is on 'Partitions' tab
self.destination_url = self.context.absolute_url() +\
"/partitions"
else:
# in ar context this table is on 'ManageAnalyses' tab
self.destination_url = self.context.absolute_url() +\
"/analyses"
self.request.response.redirect(self.destination_url)
def __call__(self):
# Validation
form = self.request.form
analyst = self.request.get('analyst', '')
template = self.request.get('template', '')
instrument = self.request.get('instrument', '')
if not analyst:
message = _("Analyst must be specified.")
self.context.plone_utils.addPortalMessage(message, 'info')
self.request.RESPONSE.redirect(self.context.absolute_url())
return
rc = getToolByName(self.context, REFERENCE_CATALOG)
wf = getToolByName(self.context, "portal_workflow")
pm = getToolByName(self.context, "portal_membership")
ws = _createObjectByType("Worksheet", self.context, tmpID())
ws.processForm()
# Set analyst and instrument
ws.setAnalyst(analyst)
if instrument:
ws.setInstrument(instrument)
# overwrite saved context UID for event subscribers
self.request['context_uid'] = ws.UID()
# if no template was specified, redirect to blank worksheet
if not template:
ws.processForm()
self.request.RESPONSE.redirect(ws.absolute_url() + "/add_analyses")
return
wst = rc.lookupObject(template)
ws.setWorksheetTemplate(wst)
ws.applyWorksheetTemplate(wst)
if ws.getLayout():
self.request.RESPONSE.redirect(ws.absolute_url() + "/manage_results")
else:
msg = _("No analyses were added")
self.context.plone_utils.addPortalMessage(msg)
self.request.RESPONSE.redirect(ws.absolute_url() + "/add_analyses")
def test_instrument_calibration(self):
# Getting all instruments
instrument_names = self.portal.bika_setup.bika_instruments.keys()
# Setting calibration dates
for instrument_name in instrument_names:
# Getting each instrument
instrument = self.portal.bika_setup.bika_instruments[
instrument_name]
today = date.today()
# Getting last valid calibration
lastcal = instrument.getLatestValidCalibration()
if not lastcal:
# Creating a new calibration
cal_obj = _createObjectByType("InstrumentCalibration",
instrument, tmpID())
cal_obj.edit(title='test',
DownFrom=today.strftime("%Y/%m/%d"),
DownTo=today.strftime("%Y/%m/%d"),
Instrument=instrument)
cal_obj.unmarkCreationFlag()
renameAfterCreation(cal_obj)
else:
# Updating last calibration
lastcal.setDownTo(today)
lastcal.setDownFrom(today)
# Testing calibration state
for instrument_name in instrument_names:
instrument = self.portal.bika_setup.bika_instruments[
instrument_name]
self.assertTrue(instrument.isCalibrationInProgress())
for instrument_name in instrument_names:
instrument = self.portal.bika_setup.bika_instruments[
instrument_name]
anotherday = '2014/11/27'
lastcal = instrument.getLatestValidCalibration()
lastcal.setDownTo(anotherday)
lastcal.setDownFrom(anotherday)
for instrument_name in instrument_names:
instrument = self.portal.bika_setup.bika_instruments[
instrument_name]
self.assertFalse(instrument.isCalibrationInProgress())
def workflow_action_save_partitions_button(self):
form = self.request.form
# Sample Partitions or AR Manage Analyses: save Partition Table
sample = self.context.portal_type == 'Sample' and self.context or\
self.context.getSample()
part_prefix = sample.getId() + "-P"
nr_existing = len(sample.objectIds())
nr_parts = len(form['PartTitle'][0])
# add missing parts
if nr_parts > nr_existing:
for i in range(nr_parts - nr_existing):
part = _createObjectByType("SamplePartition", sample, tmpID())
part.setDateReceived = DateTime()
part.processForm()
# remove excess parts
if nr_existing > nr_parts:
for i in range(nr_existing - nr_parts):
part = sample['%s%s' % (part_prefix, nr_existing - i)]
for a in part.getBackReferences("AnalysisSamplePartition"):
a.setSamplePartition(None)
sample.manage_delObjects(['%s%s' % (part_prefix, nr_existing - i), ])
# modify part container/preservation
for part_uid, part_id in form['PartTitle'][0].items():
part = sample["%s%s" % (part_prefix, part_id.split(part_prefix)[1])]
part.edit(
Container=form['getContainer'][0][part_uid],
Preservation=form['getPreservation'][0][part_uid],
)
part.reindexObject()
objects = WorkflowAction._get_selected_items(self)
if not objects:
message = _("No items have been selected")
self.context.plone_utils.addPortalMessage(message, 'info')
if self.context.portal_type == 'Sample':
# in samples his table is on 'Partitions' tab
self.destination_url = self.context.absolute_url() +\
"/partitions"
else:
# in ar context this table is on 'ManageAnalyses' tab
self.destination_url = self.context.absolute_url() +\
"/analyses"
self.request.response.redirect(self.destination_url)
def test_instrument_calibration(self):
# Getting all instruments
instrument_names = self.portal.bika_setup.bika_instruments.keys()
# Setting calibration dates
for instrument_name in instrument_names:
# Getting each instrument
instrument = self.portal.bika_setup.bika_instruments[instrument_name]
today = date.today()
# Getting last valid calibration
lastcal = instrument.getLatestValidCalibration()
if not lastcal:
# Creating a new calibration
cal_obj = _createObjectByType("InstrumentCalibration", instrument, tmpID())
cal_obj.edit(
title='test',
DownFrom=today.strftime("%Y/%m/%d"),
DownTo=today.strftime("%Y/%m/%d"),
Instrument=instrument
)
cal_obj.unmarkCreationFlag()
renameAfterCreation(cal_obj)
else:
# Updating last calibration
lastcal.setDownTo(today)
lastcal.setDownFrom(today)
# Testing calibration state
for instrument_name in instrument_names:
instrument = self.portal.bika_setup.bika_instruments[instrument_name]
self.assertTrue(instrument.isCalibrationInProgress())
for instrument_name in instrument_names:
instrument = self.portal.bika_setup.bika_instruments[instrument_name]
anotherday = '2014/11/27'
lastcal = instrument.getLatestValidCalibration()
lastcal.setDownTo(anotherday)
lastcal.setDownFrom(anotherday)
for instrument_name in instrument_names:
instrument = self.portal.bika_setup.bika_instruments[instrument_name]
self.assertFalse(instrument.isCalibrationInProgress())
def _add_services_to_ar(self, ar, analyses):
#Add Services
service_uids = [i.split(':')[0] for i in analyses]
new_analyses = ar.setAnalyses(service_uids)
ar.setRequestID(ar.getId())
ar.reindexObject()
event.notify(ObjectInitializedEvent(ar))
ar.at_post_create_script()
SamplingWorkflowEnabled = \
self.bika_setup.getSamplingWorkflowEnabled()
wftool = getToolByName(self, 'portal_workflow')
# Create sample partitions
parts = [{'services': [],
'container':[],
'preservation':'',
'separate':False}]
sample = ar.getSample()
parts_and_services = {}
for _i in range(len(parts)):
p = parts[_i]
part_prefix = sample.getId() + "-P"
if '%s%s' % (part_prefix, _i + 1) in sample.objectIds():
parts[_i]['object'] = sample['%s%s' % (part_prefix, _i + 1)]
parts_and_services['%s%s' % (part_prefix, _i + 1)] = \
p['services']
else:
part = _createObjectByType("SamplePartition", sample, tmpID())
parts[_i]['object'] = part
container = None
preservation = p['preservation']
parts[_i]['prepreserved'] = False
part.unmarkCreationFlag()
part.edit(
Container=container,
Preservation=preservation,
)
part._renameAfterCreation()
if SamplingWorkflowEnabled:
wftool.doActionFor(part, 'sampling_workflow')
else:
wftool.doActionFor(part, 'no_sampling_workflow')
parts_and_services[part.id] = p['services']
if SamplingWorkflowEnabled:
wftool.doActionFor(ar, 'sampling_workflow')
else:
wftool.doActionFor(ar, 'no_sampling_workflow')
# Add analyses to sample partitions
# XXX jsonapi create AR: right now, all new analyses are linked to the first samplepartition
if new_analyses:
analyses = list(part.getAnalyses())
analyses.extend(new_analyses)
part.edit(
Analyses=analyses,
)
for analysis in new_analyses:
analysis.setSamplePartition(part)
# If Preservation is required for some partitions,
# and the SamplingWorkflow is disabled, we need
# to transition to to_be_preserved manually.
if not SamplingWorkflowEnabled:
to_be_preserved = []
sample_due = []
lowest_state = 'sample_due'
for p in sample.objectValues('SamplePartition'):
if p.getPreservation():
lowest_state = 'to_be_preserved'
to_be_preserved.append(p)
else:
sample_due.append(p)
for p in to_be_preserved:
doActionFor(p, 'to_be_preserved')
for p in sample_due:
doActionFor(p, 'sample_due')
doActionFor(sample, lowest_state)
for analysis in ar.objectValues('Analysis'):
doActionFor(analysis, lowest_state)
doActionFor(ar, lowest_state)
def _submit_arimport_p(self):
""" load the profiles import layout """
ars = []
samples = []
valid_batch = False
client = self.aq_parent
contact_obj = None
cc_contact_obj = None
# validate contact
for contact in client.objectValues('Contact'):
if contact.getUsername() == self.getContactID():
contact_obj = contact
if self.getCCContactID() == None:
if contact_obj != None:
break
else:
if contact.getUsername() == self.getCCContactID():
cc_contact_obj = contact
if contact_obj != None:
break
if contact_obj == None:
valid_batch = False
# get Keyword to ServiceId Map
services = {}
service_uids = {}
for service in self.bika_setup_catalog(
portal_type = 'AnalysisService'):
obj = service.getObject()
keyword = obj.getKeyword()
if keyword:
services[keyword] = '%s:%s' % (obj.UID(), obj.getPrice())
service_uids[obj.UID()] = '%s:%s' % (obj.UID(), obj.getPrice())
samplepoints = self.bika_setup_catalog(
portal_type = 'SamplePoint',
Title = self.getSamplePoint())
if not samplepoints:
valid_batch = False
profiles = {}
aritems = self.objectValues('ARImportItem')
request = self.REQUEST
title = 'Submitting AR Import'
bar = ProgressBar(
self, request, title, description='')
event.notify(InitialiseProgressBar(bar))
row_count = 0
item_count = len(aritems)
prefix = 'Sample'
for aritem in aritems:
# set up analyses
ar_profile = None
analyses = []
row_count += 1
for profilekey in aritem.getAnalysisProfile():
this_profile = None
if not profiles.has_key(profilekey):
profiles[profilekey] = []
# there is no profilekey index
l_prox = self._findProfileKey(profilekey)
if l_prox:
profiles[profilekey] = \
[s.UID() for s in l_prox.getService()]
this_profile = l_prox
else:
#TODO This will not find it!!
# there is no profilekey index
c_prox = self.bika_setup_catalog(
portal_type = 'AnalysisProfile',
getClientUID = client.UID(),
getProfileKey = profilekey)
if c_prox:
obj = c_prox[0].getObject()
profiles[profilekey] = \
[s.UID() for s in obj.getService()]
this_profile = obj
if ar_profile is None:
ar_profile = obj
else:
ar_profile = None
profile = profiles[profilekey]
for analysis in profile:
if not service_uids.has_key(analysis):
service = tool.lookupObject(analysis)
keyword = service.getKeyword()
service_uids[obj.UID()] = '%s:%s' % (obj.UID(), obj.getPrice())
if keyword:
services[keyword] = '%s:%s' % (obj.UID(), obj.getPrice())
if service_uids.has_key(analysis):
if not service_uids[analysis] in analyses:
analyses.append(service_uids[analysis])
else:
valid_batch = False
for analysis in aritem.getAnalyses(full_objects=True):
if not services.has_key(analysis):
for service in self.bika_setup_catalog(
portal_type = 'AnalysisService',
getKeyword = analysis):
obj = service.getObject()
services[analysis] = '%s:%s' % (obj.UID(), obj.getPrice())
service_uids[obj.UID()] = '%s:%s' % (obj.UID(), obj.getPrice())
if services.has_key(analysis):
analyses.append(services[analysis])
else:
valid_batch = False
sampletypes = self.portal_catalog(
portal_type = 'SampleType',
sortable_title = aritem.getSampleType().lower(),
)
if not sampletypes:
valid_batch = False
return
sampletypeuid = sampletypes[0].getObject().UID()
if aritem.getSampleDate():
date_items = aritem.getSampleDate().split('/')
sample_date = DateTime(
int(date_items[2]), int(date_items[0]), int(date_items[1]))
else:
sample_date = None
sample_id = '%s-%s' % (prefix, tmpID())
sample = _createObjectByType("Sample", client, sample_id)
sample.unmarkCreationFlag()
sample.edit(
SampleID = sample_id,
ClientReference = aritem.getClientRef(),
ClientSampleID = aritem.getClientSid(),
SampleType = aritem.getSampleType(),
DateSampled = sample_date,
SamplingDate = sample_date,
DateReceived = DateTime(),
Remarks = aritem.getClientRemarks(),
)
sample._renameAfterCreation()
sample.setSamplePoint(self.getSamplePoint())
sample.setSampleID(sample.getId())
event.notify(ObjectInitializedEvent(sample))
sample.at_post_create_script()
sample_uid = sample.UID()
samples.append(sample_id)
aritem.setSample(sample_uid)
priorities = self.bika_setup_catalog(
portal_type = 'ARPriority',
sortable_title = aritem.Priority.lower(),
)
if len(priorities) < 1:
logger.warning(
'Invalid Priority: validation should have prevented this')
priority = ''
else:
priority = priorities[0].getObject()
ar_id = tmpID()
ar = _createObjectByType("AnalysisRequest", client, ar_id)
report_dry_matter = False
ar.unmarkCreationFlag()
ar.edit(
RequestID = ar_id,
Contact = self.getContact(),
CCContact = self.getCCContact(),
CCEmails = self.getCCEmailsInvoice(),
ClientOrderNumber = self.getOrderID(),
ReportDryMatter = report_dry_matter,
Profile = ar_profile,
Analyses = analyses,
Remarks = aritem.getClientRemarks(),
Priority = priority,
)
ar.setSample(sample_uid)
sample = ar.getSample()
ar.setSampleType(sampletypeuid)
ar_uid = ar.UID()
aritem.setAnalysisRequest(ar_uid)
ars.append(ar_id)
ar._renameAfterCreation()
progress_index = float(row_count)/float(item_count)*100.0
progress = ProgressState(request, progress_index)
event.notify(UpdateProgressEvent(progress))
self._add_services_to_ar(ar, analyses)
self.setDateApplied(DateTime())
self.reindexObject()
def _submit_arimport_c(self):
""" load the classic import layout """
ars = []
samples = []
valid_batch = True
client = self.aq_parent
contact_obj = None
cc_contact_obj = None
# validate contact
for contact in client.objectValues('Contact'):
if contact.getUsername() == self.getContactID():
contact_obj = contact
if self.getCCContactID() == None:
if contact_obj != None:
break
else:
if contact.getUsername() == self.getCCContactID():
cc_contact_obj = contact
if contact_obj != None:
break
if contact_obj == None:
valid_batch = False
# get Keyword to ServiceId Map
services = {}
for service in self.bika_setup_catalog(
portal_type = 'AnalysisService'):
obj = service.getObject()
keyword = obj.getKeyword()
if keyword:
services[keyword] = '%s:%s' % (obj.UID(), obj.getPrice())
samplepoints = self.bika_setup_catalog(
portal_type = 'SamplePoint',
Title = self.getSamplePoint())
if not samplepoints:
valid_batch = False
aritems = self.objectValues('ARImportItem')
request = self.REQUEST
title = 'Submitting AR Import'
bar = ProgressBar(
self, request, title, description='')
event.notify(InitialiseProgressBar(bar))
SamplingWorkflowEnabled = \
self.bika_setup.getSamplingWorkflowEnabled()
row_count = 0
item_count =len(aritems)
prefix = 'Sample'
for aritem in aritems:
row_count += 1
# set up analyses
analyses = []
for analysis in aritem.getAnalyses(full_objects=True):
if services.has_key(analysis):
analyses.append(services[analysis])
else:
valid_batch = False
sampletypes = self.portal_catalog(
portal_type = 'SampleType',
sortable_title = aritem.getSampleType().lower(),
)
if not sampletypes:
valid_batch = False
return
sampletypeuid = sampletypes[0].getObject().UID()
if aritem.getSampleDate():
date_items = aritem.getSampleDate().split('/')
sample_date = DateTime(
int(date_items[2]), int(date_items[1]), int(date_items[0]))
else:
sample_date = None
sample_id = '%s-%s' % (prefix, tmpID())
sample = _createObjectByType("Sample", client, sample_id)
sample.unmarkCreationFlag()
sample.edit(
SampleID = sample_id,
ClientReference = aritem.getClientRef(),
ClientSampleID = aritem.getClientSid(),
SampleType = aritem.getSampleType(),
DateSampled = sample_date,
SamplingDate = sample_date,
DateReceived = DateTime(),
)
sample._renameAfterCreation()
#sp_id = client.invokeFactory('SamplePoint', id=tmpID())
#sp = client[sp_id]
#sp.edit(title=self.getSamplePoint())
sample.setSamplePoint(self.getSamplePoint())
sample.setSampleID(sample.getId())
event.notify(ObjectInitializedEvent(sample))
sample.at_post_create_script()
sample_uid = sample.UID()
samples.append(sample_id)
aritem.setSample(sample_uid)
priorities = self.bika_setup_catalog(
portal_type = 'ARPriority',
sortable_title = aritem.Priority.lower(),
)
if len(priorities) < 1:
logger.warning(
'Invalid Priority: validation should have prevented this')
#Create AR
ar_id = tmpID()
ar = _createObjectByType("AnalysisRequest", client, ar_id)
if aritem.getReportDryMatter().lower() == 'y':
report_dry_matter = True
else:
report_dry_matter = False
ar.unmarkCreationFlag()
ar.edit(
RequestID = ar_id,
Contact = self.getContact(),
CCContact = self.getCCContact(),
CCEmails = self.getCCEmailsInvoice(),
ClientOrderNumber = self.getOrderID(),
ReportDryMatter = report_dry_matter,
Analyses = analyses,
Priority = priorities[0].getObject(),
)
ar.setSample(sample_uid)
sample = ar.getSample()
ar.setSampleType(sampletypeuid)
ar_uid = ar.UID()
aritem.setAnalysisRequest(ar_uid)
ars.append(ar_id)
ar._renameAfterCreation()
self._add_services_to_ar(ar, analyses)
progress_index = float(row_count)/float(item_count)*100.0
progress = ProgressState(request, progress_index)
event.notify(UpdateProgressEvent(progress))
#TODO REmove for production - just to look pretty
#time.sleep(1)
self.setDateApplied(DateTime())
self.reindexObject()
def create_analysisrequest(context, request, values):
"""Create an AR.
:param context the container in which the AR will be created (Client)
:param request the request object
:param values a dictionary containing fieldname/value pairs, which
will be applied. Some fields will have specific code to handle them,
and others will be directly written to the schema.
:return the new AR instance
Special keys present (or required) in the values dict, which are not present
in the schema:
- Partitions: data about partitions to be created, and the
analyses that are to be assigned to each.
- Prices: custom prices set in the HTML form.
- ResultsRange: Specification values entered in the HTML form.
"""
# Gather neccesary tools
workflow = getToolByName(context, 'portal_workflow')
bc = getToolByName(context, 'bika_catalog')
# Create new sample or locate the existing for secondary AR
if values['Sample']:
secondary = True
if ISample.providedBy(values['Sample']):
sample = values['Sample']
else:
sample = bc(UID=values['Sample'])[0].getObject()
samplingworkflow_enabled = sample.getSamplingWorkflowEnabled()
else:
secondary = False
samplingworkflow_enabled = context.bika_setup.getSamplingWorkflowEnabled()
sample = create_sample(context, request, values)
# Create the Analysis Request
ar = _createObjectByType('AnalysisRequest', context, tmpID())
ar.setSample(sample)
# processform renames the sample, this requires values to contain the Sample.
values['Sample'] = sample
ar.processForm(REQUEST=request, values=values)
# Object has been renamed
ar.edit(RequestID=ar.getId())
# Set initial AR state
workflow_action = 'sampling_workflow' if samplingworkflow_enabled \
else 'no_sampling_workflow'
workflow.doActionFor(ar, workflow_action)
# Set analysis request analyses
ar.setAnalyses(values['Analyses'],
prices=values.get("Prices", []),
specs=values.get('ResultsRange', []))
analyses = ar.getAnalyses(full_objects=True)
skip_receive = ['to_be_sampled', 'sample_due', 'sampled', 'to_be_preserved']
if secondary:
# Only 'sample_due' and 'sample_recieved' samples can be selected
# for secondary analyses
doActionFor(ar, 'sampled')
doActionFor(ar, 'sample_due')
sample_state = workflow.getInfoFor(sample, 'review_state')
if sample_state not in skip_receive:
doActionFor(ar, 'receive')
for analysis in analyses:
doActionFor(analysis, 'sample_due')
analysis_state = workflow.getInfoFor(analysis, 'review_state')
if analysis_state not in skip_receive:
doActionFor(analysis, 'receive')
if not secondary:
# Create sample partitions
partitions = []
for n, partition in enumerate(values['Partitions']):
# Calculate partition id
partition_prefix = sample.getId() + "-P"
partition_id = '%s%s' % (partition_prefix, n + 1)
partition['part_id'] = partition_id
# Point to or create sample partition
if partition_id in sample.objectIds():
partition['object'] = sample[partition_id]
else:
partition['object'] = create_samplepartition(
sample,
partition
)
# now assign analyses to this partition.
obj = partition['object']
for analysis in analyses:
if analysis.getService().UID() in partition['services']:
analysis.setSamplePartition(obj)
partitions.append(partition)
# If Preservation is required for some partitions,
# and the SamplingWorkflow is disabled, we need
# to transition to to_be_preserved manually.
if not samplingworkflow_enabled:
to_be_preserved = []
sample_due = []
lowest_state = 'sample_due'
for p in sample.objectValues('SamplePartition'):
if p.getPreservation():
lowest_state = 'to_be_preserved'
to_be_preserved.append(p)
else:
sample_due.append(p)
for p in to_be_preserved:
doActionFor(p, 'to_be_preserved')
for p in sample_due:
doActionFor(p, 'sample_due')
doActionFor(sample, lowest_state)
doActionFor(ar, lowest_state)
# Transition pre-preserved partitions
for p in partitions:
if 'prepreserved' in p and p['prepreserved']:
part = p['object']
state = workflow.getInfoFor(part, 'review_state')
if state == 'to_be_preserved':
workflow.doActionFor(part, 'preserve')
# Return the newly created Analysis Request
return ar
def create_analysisrequest(context, request, values):
"""Create an AR.
:param context the container in which the AR will be created (Client)
:param request the request object
:param values a dictionary containing fieldname/value pairs, which
will be applied. Some fields will have specific code to handle them,
and others will be directly written to the schema.
:return the new AR instance
Special keys present (or required) in the values dict, which are not present
in the schema:
- Partitions: data about partitions to be created, and the
analyses that are to be assigned to each.
- Prices: custom prices set in the HTML form.
- ResultsRange: Specification values entered in the HTML form.
"""
# Gather neccesary tools
workflow = getToolByName(context, 'portal_workflow')
bc = getToolByName(context, 'bika_catalog')
# Create new sample or locate the existing for secondary AR
if values['Sample']:
secondary = True
if ISample.providedBy(values['Sample']):
sample = values['Sample']
else:
sample = bc(UID=values['Sample'])[0].getObject()
samplingworkflow_enabled = sample.getSamplingWorkflowEnabled()
else:
secondary = False
samplingworkflow_enabled = context.bika_setup.getSamplingWorkflowEnabled(
)
sample = create_sample(context, request, values)
# Create the Analysis Request
ar = _createObjectByType('AnalysisRequest', context, tmpID())
ar.setSample(sample)
# processform renames the sample, this requires values to contain the Sample.
values['Sample'] = sample
ar.processForm(REQUEST=request, values=values)
# Object has been renamed
ar.edit(RequestID=ar.getId())
# Set initial AR state
workflow_action = 'sampling_workflow' if samplingworkflow_enabled \
else 'no_sampling_workflow'
workflow.doActionFor(ar, workflow_action)
# Set analysis request analyses
ar.setAnalyses(values['Analyses'],
prices=values.get("Prices", []),
specs=values.get('ResultsRange', []))
analyses = ar.getAnalyses(full_objects=True)
skip_receive = [
'to_be_sampled', 'sample_due', 'sampled', 'to_be_preserved'
]
if secondary:
# Only 'sample_due' and 'sample_recieved' samples can be selected
# for secondary analyses
doActionFor(ar, 'sampled')
doActionFor(ar, 'sample_due')
sample_state = workflow.getInfoFor(sample, 'review_state')
if sample_state not in skip_receive:
doActionFor(ar, 'receive')
for analysis in analyses:
doActionFor(analysis, 'sample_due')
analysis_state = workflow.getInfoFor(analysis, 'review_state')
if analysis_state not in skip_receive:
doActionFor(analysis, 'receive')
if not secondary:
# Create sample partitions
partitions = []
for n, partition in enumerate(values['Partitions']):
# Calculate partition id
partition_prefix = sample.getId() + "-P"
partition_id = '%s%s' % (partition_prefix, n + 1)
partition['part_id'] = partition_id
# Point to or create sample partition
if partition_id in sample.objectIds():
partition['object'] = sample[partition_id]
else:
partition['object'] = create_samplepartition(sample, partition)
# now assign analyses to this partition.
obj = partition['object']
for analysis in analyses:
if analysis.getService().UID() in partition['services']:
analysis.setSamplePartition(obj)
partitions.append(partition)
# If Preservation is required for some partitions,
# and the SamplingWorkflow is disabled, we need
# to transition to to_be_preserved manually.
if not samplingworkflow_enabled:
to_be_preserved = []
sample_due = []
lowest_state = 'sample_due'
for p in sample.objectValues('SamplePartition'):
if p.getPreservation():
lowest_state = 'to_be_preserved'
to_be_preserved.append(p)
else:
sample_due.append(p)
for p in to_be_preserved:
doActionFor(p, 'to_be_preserved')
for p in sample_due:
doActionFor(p, 'sample_due')
doActionFor(sample, lowest_state)
doActionFor(ar, lowest_state)
# Transition pre-preserved partitions
for p in partitions:
if 'prepreserved' in p and p['prepreserved']:
part = p['object']
state = workflow.getInfoFor(part, 'review_state')
if state == 'to_be_preserved':
workflow.doActionFor(part, 'preserve')
# Return the newly created Analysis Request
return ar
def workflow_script_reject(self):
"""Copy real analyses to RejectAnalysis, with link to real
create a new worksheet, with the original analyses, and new
duplicates and references to match the rejected
worksheet.
"""
if skip(self, "reject"):
return
utils = getToolByName(self, 'plone_utils')
workflow = self.portal_workflow
def copy_src_fields_to_dst(src, dst):
# These will be ignored when copying field values between analyses
ignore_fields = [
'UID',
'id',
'title',
'allowDiscussion',
'subject',
'description',
'location',
'contributors',
'creators',
'effectiveDate',
'expirationDate',
'language',
'rights',
'creation_date',
'modification_date',
'Layout', # ws
'Analyses', # ws
]
fields = src.Schema().fields()
for field in fields:
fieldname = field.getName()
if fieldname in ignore_fields:
continue
getter = getattr(
src, 'get' + fieldname,
src.Schema().getField(fieldname).getAccessor(src))
setter = getattr(
dst, 'set' + fieldname,
dst.Schema().getField(fieldname).getMutator(dst))
if getter is None or setter is None:
# ComputedField
continue
setter(getter())
analysis_positions = {}
for item in self.getLayout():
analysis_positions[item['analysis_uid']] = item['position']
old_layout = []
new_layout = []
# New worksheet
worksheets = self.aq_parent
new_ws = _createObjectByType('Worksheet', worksheets, tmpID())
new_ws.unmarkCreationFlag()
new_ws_id = renameAfterCreation(new_ws)
copy_src_fields_to_dst(self, new_ws)
new_ws.edit(Number=new_ws_id, Remarks=self.getRemarks())
# Objects are being created inside other contexts, but we want their
# workflow handlers to be aware of which worksheet this is occurring in.
# We save the worksheet in request['context_uid'].
# We reset it again below.... be very sure that this is set to the
# UID of the containing worksheet before invoking any transitions on
# analyses.
self.REQUEST['context_uid'] = new_ws.UID()
# loop all analyses
analyses = self.getAnalyses()
new_ws_analyses = []
old_ws_analyses = []
for analysis in analyses:
# Skip published or verified analyses
review_state = workflow.getInfoFor(analysis, 'review_state', '')
if review_state in ['published', 'verified', 'retracted']:
old_ws_analyses.append(analysis.UID())
old_layout.append({
'position': position,
'type': 'a',
'analysis_uid': analysis.UID(),
'container_uid': analysis.aq_parent.UID()
})
continue
# Normal analyses:
# - Create matching RejectAnalysis inside old WS
# - Link analysis to new WS in same position
# - Copy all field values
# - Clear analysis result, and set Retested flag
if analysis.portal_type == 'Analysis':
reject = _createObjectByType('RejectAnalysis', self, tmpID())
reject.unmarkCreationFlag()
reject_id = renameAfterCreation(reject)
copy_src_fields_to_dst(analysis, reject)
reject.setAnalysis(analysis)
reject.reindexObject()
analysis.edit(
Result=None,
Retested=True,
)
analysis.reindexObject()
position = analysis_positions[analysis.UID()]
old_ws_analyses.append(reject.UID())
old_layout.append({
'position': position,
'type': 'r',
'analysis_uid': reject.UID(),
'container_uid': self.UID()
})
new_ws_analyses.append(analysis.UID())
new_layout.append({
'position': position,
'type': 'a',
'analysis_uid': analysis.UID(),
'container_uid': analysis.aq_parent.UID()
})
# Reference analyses
# - Create a new reference analysis in the new worksheet
# - Transition the original analysis to 'rejected' state
if analysis.portal_type == 'ReferenceAnalysis':
service_uid = analysis.getService().UID()
reference = analysis.aq_parent
reference_type = analysis.getReferenceType()
new_analysis_uid = reference.addReferenceAnalysis(
service_uid, reference_type)
position = analysis_positions[analysis.UID()]
old_ws_analyses.append(analysis.UID())
old_layout.append({
'position': position,
'type': reference_type,
'analysis_uid': analysis.UID(),
'container_uid': reference.UID()
})
new_ws_analyses.append(new_analysis_uid)
new_layout.append({
'position': position,
'type': reference_type,
'analysis_uid': new_analysis_uid,
'container_uid': reference.UID()
})
workflow.doActionFor(analysis, 'reject')
new_reference = reference.uid_catalog(
UID=new_analysis_uid)[0].getObject()
workflow.doActionFor(new_reference, 'assign')
analysis.reindexObject()
# Duplicate analyses
# - Create a new duplicate inside the new worksheet
# - Transition the original analysis to 'rejected' state
if analysis.portal_type == 'DuplicateAnalysis':
src_analysis = analysis.getAnalysis()
ar = src_analysis.aq_parent
service = src_analysis.getService()
duplicate_id = new_ws.generateUniqueId('DuplicateAnalysis')
new_duplicate = _createObjectByType('DuplicateAnalysis',
new_ws, duplicate_id)
new_duplicate.unmarkCreationFlag()
copy_src_fields_to_dst(analysis, new_duplicate)
workflow.doActionFor(new_duplicate, 'assign')
new_duplicate.reindexObject()
position = analysis_positions[analysis.UID()]
old_ws_analyses.append(analysis.UID())
old_layout.append({
'position': position,
'type': 'd',
'analysis_uid': analysis.UID(),
'container_uid': self.UID()
})
new_ws_analyses.append(new_duplicate.UID())
new_layout.append({
'position': position,
'type': 'd',
'analysis_uid': new_duplicate.UID(),
'container_uid': new_ws.UID()
})
workflow.doActionFor(analysis, 'reject')
analysis.reindexObject()
new_ws.setAnalyses(new_ws_analyses)
new_ws.setLayout(new_layout)
new_ws.replaces_rejected_worksheet = self.UID()
for analysis in new_ws.getAnalyses():
review_state = workflow.getInfoFor(analysis, 'review_state', '')
if review_state == 'to_be_verified':
changeWorkflowState(analysis, "bika_analysis_workflow",
"sample_received")
self.REQUEST['context_uid'] = self.UID()
self.setLayout(old_layout)
self.setAnalyses(old_ws_analyses)
self.replaced_by = new_ws.UID()
def workflow_script_reject(self):
"""Copy real analyses to RejectAnalysis, with link to real
create a new worksheet, with the original analyses, and new
duplicates and references to match the rejected
worksheet.
"""
if skip(self, "reject"):
return
utils = getToolByName(self, 'plone_utils')
workflow = self.portal_workflow
def copy_src_fields_to_dst(src, dst):
# These will be ignored when copying field values between analyses
ignore_fields = ['UID',
'id',
'title',
'allowDiscussion',
'subject',
'description',
'location',
'contributors',
'creators',
'effectiveDate',
'expirationDate',
'language',
'rights',
'creation_date',
'modification_date',
'Layout', # ws
'Analyses', # ws
]
fields = src.Schema().fields()
for field in fields:
fieldname = field.getName()
if fieldname in ignore_fields:
continue
getter = getattr(src, 'get'+fieldname,
src.Schema().getField(fieldname).getAccessor(src))
setter = getattr(dst, 'set'+fieldname,
dst.Schema().getField(fieldname).getMutator(dst))
if getter is None or setter is None:
# ComputedField
continue
setter(getter())
analysis_positions = {}
for item in self.getLayout():
analysis_positions[item['analysis_uid']] = item['position']
old_layout = []
new_layout = []
# New worksheet
worksheets = self.aq_parent
new_ws = _createObjectByType('Worksheet', worksheets, tmpID())
new_ws.unmarkCreationFlag()
new_ws_id = renameAfterCreation(new_ws)
copy_src_fields_to_dst(self, new_ws)
new_ws.edit(
Number = new_ws_id,
Remarks = self.getRemarks()
)
# Objects are being created inside other contexts, but we want their
# workflow handlers to be aware of which worksheet this is occurring in.
# We save the worksheet in request['context_uid'].
# We reset it again below.... be very sure that this is set to the
# UID of the containing worksheet before invoking any transitions on
# analyses.
self.REQUEST['context_uid'] = new_ws.UID()
# loop all analyses
analyses = self.getAnalyses()
new_ws_analyses = []
old_ws_analyses = []
for analysis in analyses:
# Skip published or verified analyses
review_state = workflow.getInfoFor(analysis, 'review_state', '')
if review_state in ['published', 'verified', 'retracted']:
old_ws_analyses.append(analysis.UID())
old_layout.append({'position': position,
'type':'a',
'analysis_uid':analysis.UID(),
'container_uid':analysis.aq_parent.UID()})
continue
# Normal analyses:
# - Create matching RejectAnalysis inside old WS
# - Link analysis to new WS in same position
# - Copy all field values
# - Clear analysis result, and set Retested flag
if analysis.portal_type == 'Analysis':
reject = _createObjectByType('RejectAnalysis', self, tmpID())
reject.unmarkCreationFlag()
reject_id = renameAfterCreation(reject)
copy_src_fields_to_dst(analysis, reject)
reject.setAnalysis(analysis)
reject.reindexObject()
analysis.edit(
Result = None,
Retested = True,
)
analysis.reindexObject()
position = analysis_positions[analysis.UID()]
old_ws_analyses.append(reject.UID())
old_layout.append({'position': position,
'type':'r',
'analysis_uid':reject.UID(),
'container_uid':self.UID()})
new_ws_analyses.append(analysis.UID())
new_layout.append({'position': position,
'type':'a',
'analysis_uid':analysis.UID(),
'container_uid':analysis.aq_parent.UID()})
# Reference analyses
# - Create a new reference analysis in the new worksheet
# - Transition the original analysis to 'rejected' state
if analysis.portal_type == 'ReferenceAnalysis':
service_uid = analysis.getService().UID()
reference = analysis.aq_parent
reference_type = analysis.getReferenceType()
new_analysis_uid = reference.addReferenceAnalysis(service_uid,
reference_type)
position = analysis_positions[analysis.UID()]
old_ws_analyses.append(analysis.UID())
old_layout.append({'position': position,
'type':reference_type,
'analysis_uid':analysis.UID(),
'container_uid':reference.UID()})
new_ws_analyses.append(new_analysis_uid)
new_layout.append({'position': position,
'type':reference_type,
'analysis_uid':new_analysis_uid,
'container_uid':reference.UID()})
workflow.doActionFor(analysis, 'reject')
new_reference = reference.uid_catalog(UID=new_analysis_uid)[0].getObject()
workflow.doActionFor(new_reference, 'assign')
analysis.reindexObject()
# Duplicate analyses
# - Create a new duplicate inside the new worksheet
# - Transition the original analysis to 'rejected' state
if analysis.portal_type == 'DuplicateAnalysis':
src_analysis = analysis.getAnalysis()
ar = src_analysis.aq_parent
service = src_analysis.getService()
duplicate_id = new_ws.generateUniqueId('DuplicateAnalysis')
new_duplicate = _createObjectByType('DuplicateAnalysis',
new_ws, duplicate_id)
new_duplicate.unmarkCreationFlag()
copy_src_fields_to_dst(analysis, new_duplicate)
workflow.doActionFor(new_duplicate, 'assign')
new_duplicate.reindexObject()
position = analysis_positions[analysis.UID()]
old_ws_analyses.append(analysis.UID())
old_layout.append({'position': position,
'type':'d',
'analysis_uid':analysis.UID(),
'container_uid':self.UID()})
new_ws_analyses.append(new_duplicate.UID())
new_layout.append({'position': position,
'type':'d',
'analysis_uid':new_duplicate.UID(),
'container_uid':new_ws.UID()})
workflow.doActionFor(analysis, 'reject')
analysis.reindexObject()
new_ws.setAnalyses(new_ws_analyses)
new_ws.setLayout(new_layout)
new_ws.replaces_rejected_worksheet = self.UID()
for analysis in new_ws.getAnalyses():
review_state = workflow.getInfoFor(analysis, 'review_state', '')
if review_state == 'to_be_verified':
changeWorkflowState(analysis, "bika_analysis_workflow", "sample_received")
self.REQUEST['context_uid'] = self.UID()
self.setLayout(old_layout)
self.setAnalyses(old_ws_analyses)
self.replaced_by = new_ws.UID()
def _create_ar(self, context, request):
"""Creates AnalysisRequest object, with supporting Sample, Partition
and Analysis objects. The client is retrieved from the obj_path
key in the request.
Required request parameters:
- Contact: One client contact Fullname. The contact must exist
in the specified client. The first Contact with the specified
value in it's Fullname field will be used.
- SampleType_<index> - Must be an existing sample type.
Optional request parameters:
- CCContacts: A list of contact Fullnames, which will be copied on
all messages related to this AR and it's sample or results.
- CCEmails: A list of email addresses to include as above.
- Sample_id: Create a secondary AR with an existing sample. If
unspecified, a new sample is created.
- Specification: a lookup to set Analysis specs default values
for all analyses
- Analysis_Specification: specs (or overrides) per analysis, using
a special lookup format.
&Analysis_Specification:list=<Keyword>:min:max:error&...
"""
wftool = getToolByName(context, 'portal_workflow')
bc = getToolByName(context, 'bika_catalog')
bsc = getToolByName(context, 'bika_setup_catalog')
pc = getToolByName(context, 'portal_catalog')
ret = {
"url": router.url_for("create", force_external=True),
"success": True,
"error": False,
}
SamplingWorkflowEnabled = context.bika_setup.getSamplingWorkflowEnabled()
for field in [
'Client',
'SampleType',
'Contact',
'SamplingDate',
'Services']:
self.require(field)
self.used(field)
try:
client = resolve_request_lookup(context, request, 'Client')[0].getObject()
except IndexError:
raise Exception("Client not found")
# Sample_id
if 'Sample' in request:
try:
sample = resolve_request_lookup(context, request, 'Sample')[0].getObject()
except IndexError:
raise Exception("Sample not found")
else:
# Primary AR
sample = _createObjectByType("Sample", client, tmpID())
sample.unmarkCreationFlag()
fields = set_fields_from_request(sample, request)
for field in fields:
self.used(field)
sample._renameAfterCreation()
sample.setSampleID(sample.getId())
event.notify(ObjectInitializedEvent(sample))
sample.at_post_create_script()
if SamplingWorkflowEnabled:
wftool.doActionFor(sample, 'sampling_workflow')
else:
wftool.doActionFor(sample, 'no_sampling_workflow')
ret['sample_id'] = sample.getId()
parts = [{'services': [],
'container': [],
'preservation': '',
'separate': False}]
specs = self.get_specs_from_request()
ar = _createObjectByType("AnalysisRequest", client, tmpID())
ar.unmarkCreationFlag()
fields = set_fields_from_request(ar, request)
for field in fields:
self.used(field)
ar.setSample(sample.UID())
ar._renameAfterCreation()
ret['ar_id'] = ar.getId()
brains = resolve_request_lookup(context, request, 'Services')
service_uids = [p.UID for p in brains]
new_analyses = ar.setAnalyses(service_uids, specs=specs)
ar.setRequestID(ar.getId())
ar.reindexObject()
event.notify(ObjectInitializedEvent(ar))
ar.at_post_create_script()
# Create sample partitions
parts_and_services = {}
for _i in range(len(parts)):
p = parts[_i]
part_prefix = sample.getId() + "-P"
if '%s%s' % (part_prefix, _i + 1) in sample.objectIds():
parts[_i]['object'] = sample['%s%s' % (part_prefix, _i + 1)]
parts_and_services['%s%s' % (part_prefix, _i + 1)] = p['services']
part = parts[_i]['object']
else:
part = _createObjectByType("SamplePartition", sample, tmpID())
parts[_i]['object'] = part
container = None
preservation = p['preservation']
parts[_i]['prepreserved'] = False
part.edit(
Container=container,
Preservation=preservation,
)
part.processForm()
if SamplingWorkflowEnabled:
wftool.doActionFor(part, 'sampling_workflow')
else:
wftool.doActionFor(part, 'no_sampling_workflow')
parts_and_services[part.id] = p['services']
if SamplingWorkflowEnabled:
wftool.doActionFor(ar, 'sampling_workflow')
else:
wftool.doActionFor(ar, 'no_sampling_workflow')
# Add analyses to sample partitions
# XXX jsonapi create AR: right now, all new analyses are linked to the first samplepartition
if new_analyses:
analyses = list(part.getAnalyses())
analyses.extend(new_analyses)
part.edit(
Analyses=analyses,
)
for analysis in new_analyses:
analysis.setSamplePartition(part)
# If Preservation is required for some partitions,
# and the SamplingWorkflow is disabled, we need
# to transition to to_be_preserved manually.
if not SamplingWorkflowEnabled:
to_be_preserved = []
sample_due = []
lowest_state = 'sample_due'
for p in sample.objectValues('SamplePartition'):
if p.getPreservation():
lowest_state = 'to_be_preserved'
to_be_preserved.append(p)
else:
sample_due.append(p)
for p in to_be_preserved:
doActionFor(p, 'to_be_preserved')
for p in sample_due:
doActionFor(p, 'sample_due')
doActionFor(sample, lowest_state)
for analysis in ar.objectValues('Analysis'):
doActionFor(analysis, lowest_state)
doActionFor(ar, lowest_state)
# receive secondary AR
if request.get('Sample_id', ''):
doActionFor(ar, 'sampled')
doActionFor(ar, 'sample_due')
not_receive = ['to_be_sampled', 'sample_due', 'sampled',
'to_be_preserved']
sample_state = wftool.getInfoFor(sample, 'review_state')
if sample_state not in not_receive:
doActionFor(ar, 'receive')
for analysis in ar.getAnalyses(full_objects=1):
doActionFor(analysis, 'sampled')
doActionFor(analysis, 'sample_due')
if sample_state not in not_receive:
doActionFor(analysis, 'receive')
if self.unused:
raise BadRequest("The following request fields were not used: %s. Request aborted." % self.unused)
return ret
def cloneAR(self, ar):
newar = _createObjectByType("AnalysisRequest", ar.aq_parent, tmpID())
newar.title = ar.title
newar.description = ar.description
newar.setContact(ar.getContact())
newar.setCCContact(ar.getCCContact())
newar.setCCEmails(ar.getCCEmails())
newar.setBatch(ar.getBatch())
newar.setTemplate(ar.getTemplate())
newar.setProfile(ar.getProfile())
newar.setSamplingDate(ar.getSamplingDate())
newar.setSampleType(ar.getSampleType())
newar.setSamplePoint(ar.getSamplePoint())
newar.setStorageLocation(ar.getStorageLocation())
newar.setSamplingDeviation(ar.getSamplingDeviation())
newar.setPriority(ar.getPriority())
newar.setSampleCondition(ar.getSampleCondition())
newar.setSample(ar.getSample())
newar.setClientOrderNumber(ar.getClientOrderNumber())
newar.setClientReference(ar.getClientReference())
newar.setClientSampleID(ar.getClientSampleID())
newar.setDefaultContainerType(ar.getDefaultContainerType())
newar.setAdHoc(ar.getAdHoc())
newar.setComposite(ar.getComposite())
newar.setReportDryMatter(ar.getReportDryMatter())
newar.setInvoiceExclude(ar.getInvoiceExclude())
newar.setAttachment(ar.getAttachment())
newar.setInvoice(ar.getInvoice())
newar.setDateReceived(ar.getDateReceived())
newar.setMemberDiscount(ar.getMemberDiscount())
# Set the results for each AR analysis
ans = ar.getAnalyses(full_objects=True)
for an in ans:
nan = _createObjectByType("Analysis", newar, an.getKeyword())
nan.setService(an.getService())
nan.setCalculation(an.getCalculation())
nan.setInterimFields(an.getInterimFields())
nan.setResult(an.getResult())
nan.setResultDM(an.getResultDM())
nan.setRetested = False,
nan.setMaxTimeAllowed(an.getMaxTimeAllowed())
nan.setDueDate(an.getDueDate())
nan.setDuration(an.getDuration())
nan.setReportDryMatter(an.getReportDryMatter())
nan.setAnalyst(an.getAnalyst())
nan.setInstrument(an.getInstrument())
nan.setSamplePartition(an.getSamplePartition())
nan.unmarkCreationFlag()
notify(ObjectInitializedEvent(nan))
changeWorkflowState(nan, 'bika_analysis_workflow',
'to_be_verified')
nan.reindexObject()
newar.reindexObject()
newar.aq_parent.reindexObject()
renameAfterCreation(newar)
newar.setRequestID(newar.getId())
if hasattr(ar, 'setChildAnalysisRequest'):
ar.setChildAnalysisRequest(newar)
newar.setParentAnalysisRequest(ar)
return newar
def process(self):
self._parser.parse()
parsed = self._parser.resume()
self._errors = self._parser.errors
self._warns = self._parser.warns
self._logs = self._parser.logs
self._priorizedsearchcriteria = ''
if parsed == False:
return False
# Allowed analysis states
allowed_ar_states_msg = [t(_(s)) for s in self.getAllowedARStates()]
allowed_an_states_msg = [t(_(s)) for s in self.getAllowedAnalysisStates()]
self.log("Allowed Analysis Request states: ${allowed_states}",
mapping={'allowed_states': ', '.join(allowed_ar_states_msg)})
self.log("Allowed analysis states: ${allowed_states}",
mapping={'allowed_states': ', '.join(allowed_an_states_msg)})
# Exclude non existing ACODEs
acodes = []
ancount = 0
arprocessed = []
instprocessed = []
importedars = {}
importedinsts = {}
rawacodes = self._parser.getAnalysisKeywords()
exclude = self.getKeywordsToBeExcluded()
for acode in rawacodes:
if acode in exclude:
continue
service = self.bsc(getKeyword=acode)
if not service:
self.warn('Service keyword ${analysis_keyword} not found',
mapping={"analysis_keyword": acode})
else:
acodes.append(acode)
if len(acodes) == 0:
self.err("Service keywords: no matches found")
searchcriteria = self.getIdSearchCriteria();
#self.log(_("Search criterias: %s") % (', '.join(searchcriteria)))
for objid, results in self._parser.getRawResults().iteritems():
# Allowed more than one result for the same sample and analysis.
# Needed for calibration tests
for result in results:
analyses = self._getZODBAnalyses(objid)
inst = None
if len(analyses) == 0 and self.instrument_uid:
# No registered analyses found, but maybe we need to
# create them first if an instruemnt id has been set in
insts = self.bsc(portal_type='Instrument', UID=self.instrument_uid)
if len(insts) == 0:
# No instrument found
self.err("No Analysis Request with '${allowed_ar_states}' "
"states found, And no QC analyses found for ${object_id}",
mapping={"allowed_ar_states": ', '.join(allowed_ar_states_msg),
"object_id": objid})
self.err("Instrument not found")
continue
inst = insts[0].getObject()
# Create a new ReferenceAnalysis and link it to the Instrument
# Here we have an objid (i.e. R01200012) and
# a dict with results (the key is the AS keyword).
# How can we create a ReferenceAnalysis if we don't know
# which ReferenceSample we might use?
# Ok. The objid HAS to be the ReferenceSample code.
refsample = self.bc(portal_type='ReferenceSample', id=objid)
if refsample and len(refsample) == 1:
refsample = refsample[0].getObject()
elif refsample and len(refsample) > 1:
# More than one reference sample found!
self.err(
"More than one reference sample found for '${object_id}'",
mapping={"object_id": objid})
continue
else:
# No reference sample found!
self.err("No Reference Sample found for ${object_id}",
mapping={"object_id": objid})
continue
# For each acode, create a ReferenceAnalysis and attach it
# to the Reference Sample
service_uids = []
reference_type = 'b' if refsample.getBlank() == True else 'c'
services = self.bsc(portal_type='AnalysisService')
service_uids = [service.UID for service in services \
if service.getObject().getKeyword() in result.keys()]
analyses = inst.addReferences(refsample, service_uids)
elif len(analyses) == 0:
# No analyses found
self.err("No Analysis Request with '${allowed_ar_states}' "
"states neither QC analyses found for ${object_id}",
mapping={
"allowed_ar_states":', '.join(allowed_ar_states_msg),
"object_id": objid})
continue
# Look for timestamp
capturedate = result.get('DateTime',{}).get('DateTime',None)
if capturedate:
del result['DateTime']
for acode, values in result.iteritems():
if acode not in acodes:
# Analysis keyword doesn't exist
continue
ans = [analysis for analysis in analyses \
if analysis.getKeyword() == acode]
if len(ans) > 1:
self.err("More than one analyses found for ${object_id} and ${analysis_keyword)",
mapping={"object_id": objid,
"analysis_keyword": acode})
continue
elif len(ans) == 0:
self.err("No analyses found for ${object_id} and ${analysis_keyword)",
mapping={"object_id": objid,
"analysis_keyword": acode})
continue
analysis = ans[0]
if capturedate:
values['DateTime'] = capturedate
processed = self._process_analysis(objid, analysis, values)
if processed:
ancount += 1
if inst:
# Calibration Test (import to Instrument)
instprocessed.append(inst.UID())
importedinst = inst.title in importedinsts.keys() \
and importedinsts[inst.title] or []
if acode not in importedinst:
importedinst.append(acode)
importedinsts[inst.title] = importedinst
else:
ar = analysis.portal_type == 'Analysis' and analysis.aq_parent or None
if ar and ar.UID:
# Set AR imported info
arprocessed.append(ar.UID())
importedar = ar.getRequestID() in importedars.keys() \
and importedars[ar.getRequestID()] or []
if acode not in importedar:
importedar.append(acode)
importedars[ar.getRequestID()] = importedar
# Create the AttachmentType for mime type if not exists
attuid = None
attachmentType = self.bsc(portal_type="AttachmentType",
title=self._parser.getAttachmentFileType())
if len(attachmentType) == 0:
try:
folder = self.context.bika_setup.bika_attachmenttypes
obj = _createObjectByType("AttachmentType", folder, tmpID())
obj.edit(title=self._parser.getAttachmentFileType(),
description="Autogenerated file type")
obj.unmarkCreationFlag()
renameAfterCreation(obj)
attuid = obj.UID()
except:
attuid = None
self.err(
"Unable to create the Attachment Type ${mime_type}",
mapping={
"mime_type": self._parser.getFileMimeType()})
else:
attuid = attachmentType[0].UID
if attuid is not None:
try:
# Attach the file to the Analysis
wss = analysis.getBackReferences('WorksheetAnalysis')
if wss and len(wss) > 0:
#TODO: Mirar si es pot evitar utilitzar el WS i utilitzar directament l'Anàlisi (útil en cas de CalibrationTest)
ws = wss[0]
attachment = _createObjectByType("Attachment", ws, tmpID())
attachment.edit(
AttachmentFile=self._parser.getInputFile(),
AttachmentType=attuid,
AttachmentKeys='Results, Automatic import')
attachment.reindexObject()
others = analysis.getAttachment()
attachments = []
for other in others:
if other.getAttachmentFile().filename != attachment.getAttachmentFile().filename:
attachments.append(other.UID())
attachments.append(attachment.UID())
analysis.setAttachment(attachments)
except:
# self.err(_("Unable to attach results file '${file_name}' to AR ${request_id}",
# mapping={"file_name": self._parser.getInputFile().filename,
# "request_id": ar.getRequestID()}))
pass
# Calculate analysis dependencies
for aruid in arprocessed:
ar = self.bc(portal_type='AnalysisRequest',
UID=aruid)
ar = ar[0].getObject()
analyses = ar.getAnalyses()
for analysis in analyses:
analysis = analysis.getObject()
if analysis.calculateResult(True, True):
self.log(
"${request_id} calculated result for '${analysis_keyword}': '${analysis_result}'",
mapping={"request_id": ar.getRequestID(),
"analysis_keyword": analysis.getKeyword(),
"analysis_result": str(analysis.getResult())}
)
# Not sure if there's any reason why ReferenceAnalyses have not
# defined the method calculateResult...
# Needs investigation.
#for instuid in instprocessed:
# inst = self.bsc(portal_type='Instrument',UID=instuid)[0].getObject()
# analyses = inst.getAnalyses()
# for analysis in analyses:
# if (analysis.calculateResult(True, True)):
# self.log(_("%s calculated result for '%s': '%s'") %
# (inst.title, analysis.getKeyword(), str(analysis.getResult())))
for arid, acodes in importedars.iteritems():
acodesmsg = ["Analysis %s" % acod for acod in acodes]
self.log("${request_id}: ${analysis_keywords} imported sucessfully",
mapping={"request_id": arid,
"analysis_keywords": acodesmsg})
for instid, acodes in importedinsts.iteritems():
acodesmsg = ["Analysis %s" % acod for acod in acodes]
msg = "%s: %s %s" % (instid, ", ".join(acodesmsg), "imported sucessfully")
self.log(msg)
if self.instrument_uid:
self.log(
"Import finished successfully: ${nr_updated_ars} ARs, "
"${nr_updated_instruments} Instruments and ${nr_updated_results} "
"results updated",
mapping={"nr_updated_ars": str(len(importedars)),
"nr_updated_instruments": str(len(importedinsts)),
"nr_updated_results": str(ancount)})
else:
self.log(
"Import finished successfully: ${nr_updated_ars} ARs and "
"${nr_updated_results} results updated",
mapping={"nr_updated_ars": str(len(importedars)),
"nr_updated_results": str(ancount)})
def create(self, context, request):
"""/@@API/create: Create new object.
Required parameters:
- obj_type = portal_type of new object.
- obj_path = path of new object, from plone site root. - Not required for
obj_type=AnalysisRequest
Optionally:
- obj_id = ID of new object.
All other parameters in the request are matched against the object's
Schema. If a matching field is found in the schema, then the value is
taken from the request and sent to the field's mutator.
Reference fields may have their target value(s) specified with a
delimited string query syntax, containing the portal_catalog search:
<FieldName>=index1:value1|index2:value2
eg to set the Client of a batch:
...@@API/update?obj_path=<path>...
...&Client=title:<client_title>&...
And, to set a multi-valued reference, these both work:
...@@API/update?obj_path=<path>...
...&InheritedObjects:list=title:AR1...
...&InheritedObjects:list=title:AR2...
...@@API/update?obj_path=<path>...
...&InheritedObjects[]=title:AR1...
...&InheritedObjects[]=title:AR2...
The Analysis_Specification parameter is special, it mimics
the format of the python dictionaries, and only service Keyword
can be used to reference services. Even if the keyword is not
actively required, it must be supplied:
<service_keyword>:min:max:error tolerance
The function returns a dictionary as a json string:
{
runtime: Function running time.
error: true or string(message) if error. false if no error.
success: true or string(message) if success. false if no success.
}
>>> portal = layer['portal']
>>> portal_url = portal.absolute_url()
>>> from plone.app.testing import SITE_OWNER_NAME
>>> from plone.app.testing import SITE_OWNER_PASSWORD
Simple AR creation, no obj_path parameter is required:
>>> browser = layer['getBrowser'](portal, loggedIn=True, username=SITE_OWNER_NAME, password=SITE_OWNER_PASSWORD)
>>> browser.open(portal_url+"/@@API/create", "&".join([
... "obj_type=AnalysisRequest",
... "Client=portal_type:Client|id:client-1",
... "SampleType=portal_type:SampleType|title:Apple Pulp",
... "Contact=portal_type:Contact|getFullname:Rita Mohale",
... "Services:list=portal_type:AnalysisService|title:Calcium",
... "Services:list=portal_type:AnalysisService|title:Copper",
... "Services:list=portal_type:AnalysisService|title:Magnesium",
... "SamplingDate=2013-09-29",
... "Specification=portal_type:AnalysisSpec|title:Apple Pulp",
... ]))
>>> browser.contents
'{..."success": true...}'
If some parameters are specified and are not located as existing fields or properties
of the created instance, the create should fail:
>>> browser = layer['getBrowser'](portal, loggedIn=True, username=SITE_OWNER_NAME, password=SITE_OWNER_PASSWORD)
>>> browser.open(portal_url+"/@@API/create?", "&".join([
... "obj_type=Batch",
... "obj_path=/batches",
... "title=Test",
... "Thing=Fish"
... ]))
>>> browser.contents
'{...The following request fields were not used: ...Thing...}'
Now we test that the AR create also fails if some fields are spelled wrong
>>> browser = layer['getBrowser'](portal, loggedIn=True, username=SITE_OWNER_NAME, password=SITE_OWNER_PASSWORD)
>>> browser.open(portal_url+"/@@API/create", "&".join([
... "obj_type=AnalysisRequest",
... "thing=Fish",
... "Client=portal_type:Client|id:client-1",
... "SampleType=portal_type:SampleType|title:Apple Pulp",
... "Contact=portal_type:Contact|getFullname:Rita Mohale",
... "Services:list=portal_type:AnalysisService|title:Calcium",
... "Services:list=portal_type:AnalysisService|title:Copper",
... "Services:list=portal_type:AnalysisService|title:Magnesium",
... "SamplingDate=2013-09-29"
... ]))
>>> browser.contents
'{...The following request fields were not used: ...thing...}'
"""
savepoint = transaction.savepoint()
self.context = context
self.request = request
self.unused = [x for x in self.request.form.keys()]
self.used("form.submitted")
self.used("__ac_name")
self.used("__ac_password")
# always require obj_type
self.require("obj_type")
obj_type = self.request['obj_type']
self.used("obj_type")
# AnalysisRequest shortcut: creates Sample, Partition, AR, Analyses.
if obj_type == "AnalysisRequest":
try:
return self._create_ar(context, request)
except:
savepoint.rollback()
raise
# Other object types require explicit path as their parent
self.require("obj_path")
obj_path = self.request['obj_path']
if not obj_path.startswith("/"):
obj_path = "/" + obj_path
self.used("obj_path")
site_path = request['PATH_INFO'].replace("/@@API/create", "")
parent = context.restrictedTraverse(str(site_path + obj_path))
# normal permissions still apply for this user
if not getSecurityManager().checkPermission(AccessJSONAPI, parent):
msg = "You don't have the '{0}' permission on {1}".format(
AccessJSONAPI, parent.absolute_url())
raise Unauthorized(msg)
obj_id = request.get("obj_id", "")
_renameAfterCreation = False
if not obj_id:
_renameAfterCreation = True
obj_id = tmpID()
self.used(obj_id)
ret = {
"url": router.url_for("create", force_external=True),
"success": True,
"error": False,
}
try:
obj = _createObjectByType(obj_type, parent, obj_id)
obj.unmarkCreationFlag()
if _renameAfterCreation:
renameAfterCreation(obj)
ret['obj_id'] = obj.getId()
used_fields = set_fields_from_request(obj, request)
for field in used_fields:
self.used(field)
obj.reindexObject()
obj.aq_parent.reindexObject()
event.notify(ObjectInitializedEvent(obj))
obj.at_post_create_script()
except:
savepoint.rollback()
raise
if self.unused:
raise BadRequest("The following request fields were not used: %s. Request aborted." % self.unused)
return ret
def cloneAR(self, ar):
newar = _createObjectByType("AnalysisRequest", ar.aq_parent, tmpID())
newar.title = ar.title
newar.description = ar.description
newar.setContact(ar.getContact())
newar.setCCContact(ar.getCCContact())
newar.setCCEmails(ar.getCCEmails())
newar.setBatch(ar.getBatch())
newar.setTemplate(ar.getTemplate())
newar.setProfile(ar.getProfile())
newar.setSamplingDate(ar.getSamplingDate())
newar.setSampleType(ar.getSampleType())
newar.setSamplePoint(ar.getSamplePoint())
newar.setStorageLocation(ar.getStorageLocation())
newar.setSamplingDeviation(ar.getSamplingDeviation())
newar.setPriority(ar.getPriority())
newar.setSampleCondition(ar.getSampleCondition())
newar.setSample(ar.getSample())
newar.setClientOrderNumber(ar.getClientOrderNumber())
newar.setClientReference(ar.getClientReference())
newar.setClientSampleID(ar.getClientSampleID())
newar.setDefaultContainerType(ar.getDefaultContainerType())
newar.setAdHoc(ar.getAdHoc())
newar.setComposite(ar.getComposite())
newar.setReportDryMatter(ar.getReportDryMatter())
newar.setInvoiceExclude(ar.getInvoiceExclude())
newar.setAttachment(ar.getAttachment())
newar.setInvoice(ar.getInvoice())
newar.setDateReceived(ar.getDateReceived())
newar.setMemberDiscount(ar.getMemberDiscount())
# Set the results for each AR analysis
ans = ar.getAnalyses(full_objects=True)
for an in ans:
nan = _createObjectByType("Analysis", newar, an.getKeyword())
nan.setService(an.getService())
nan.setCalculation(an.getCalculation())
nan.setInterimFields(an.getInterimFields())
nan.setResult(an.getResult())
nan.setResultDM(an.getResultDM())
nan.setRetested = False,
nan.setMaxTimeAllowed(an.getMaxTimeAllowed())
nan.setDueDate(an.getDueDate())
nan.setDuration(an.getDuration())
nan.setReportDryMatter(an.getReportDryMatter())
nan.setAnalyst(an.getAnalyst())
nan.setInstrument(an.getInstrument())
nan.setSamplePartition(an.getSamplePartition())
nan.unmarkCreationFlag()
notify(ObjectInitializedEvent(nan))
changeWorkflowState(nan, 'bika_analysis_workflow',
'to_be_verified')
nan.reindexObject()
newar.reindexObject()
newar.aq_parent.reindexObject()
renameAfterCreation(newar)
newar.setRequestID(newar.getId())
if hasattr(ar, 'setChildAnalysisRequest'):
ar.setChildAnalysisRequest(newar)
newar.setParentAnalysisRequest(ar)
return newar
def create_analysisrequest(
context,
request,
values,
analyses=[],
partitions=None,
specifications=None,
prices=None
):
# Gather neccesary tools
workflow = getToolByName(context, 'portal_workflow')
bc = getToolByName(context, 'bika_catalog')
# Create new sample or locate the existing for secondary AR
if values.get('Sample'):
secondary = True
if ISample.providedBy(values['Sample']):
sample = values['Sample']
else:
sample = bc(UID=values['Sample'])[0].getObject()
workflow_enabled = sample.getSamplingWorkflowEnabled()
else:
secondary = False
workflow_enabled = context.bika_setup.getSamplingWorkflowEnabled()
sample = create_sample(context, request, values)
# Create the Analysis Request
ar = _createObjectByType('AnalysisRequest', context, tmpID())
ar.setSample(sample)
# processform renames the sample, this requires values to contain the Sample.
values['Sample'] = sample
ar.processForm(REQUEST=request, values=values)
# Object has been renamed
ar.edit(RequestID=ar.getId())
# Set initial AR state
workflow_action = 'sampling_workflow' if workflow_enabled \
else 'no_sampling_workflow'
workflow.doActionFor(ar, workflow_action)
# Set analysis request analyses
analyses = ar.setAnalyses(analyses, prices=prices, specs=specifications)
if secondary:
# Only 'sample_due' and 'sample_recieved' samples can be selected
# for secondary analyses
doActionFor(ar, 'sample')
doActionFor(ar, 'sample_due')
sample_state = workflow.getInfoFor(sample, 'review_state')
if sample_state == 'sample_received':
doActionFor(ar, 'receive')
for analysis in ar.getAnalyses(full_objects=1):
doActionFor(analysis, 'sample')
doActionFor(analysis, 'sample_due')
analysis_transition_ids = [t['id'] for t in workflow.getTransitionsFor(analysis)]
if 'receive' in analysis_transition_ids and sample_state == 'sample_received':
doActionFor(analysis, 'receive')
if not secondary:
# Create sample partitions
if not partitions:
partitions = [{'services':analyses}]
for n, partition in enumerate(partitions):
# Calculate partition id
partition_prefix = sample.getId() + "-P"
partition_id = '%s%s' % (partition_prefix, n + 1)
partition['part_id'] = partition_id
# Point to or create sample partition
if partition_id in sample.objectIds():
partition['object'] = sample[partition_id]
else:
partition['object'] = create_samplepartition(
sample,
partition,
analyses
)
# If Preservation is required for some partitions,
# and the SamplingWorkflow is disabled, we need
# to transition to to_be_preserved manually.
if not workflow_enabled:
to_be_preserved = []
sample_due = []
lowest_state = 'sample_due'
for p in sample.objectValues('SamplePartition'):
if p.getPreservation():
lowest_state = 'to_be_preserved'
to_be_preserved.append(p)
else:
sample_due.append(p)
for p in to_be_preserved:
doActionFor(p, 'to_be_preserved')
for p in sample_due:
doActionFor(p, 'sample_due')
doActionFor(sample, lowest_state)
doActionFor(ar, lowest_state)
# Transition pre-preserved partitions
for p in partitions:
if 'prepreserved' in p and p['prepreserved']:
part = p['object']
state = workflow.getInfoFor(part, 'review_state')
if state == 'to_be_preserved':
workflow.doActionFor(part, 'preserve')
# Return the newly created Analysis Request
return ar
def process(self):
self._parser.parse()
parsed = self._parser.resume()
self._errors = self._parser.errors
self._warns = self._parser.warns
self._logs = self._parser.logs
self._priorizedsearchcriteria = ''
if parsed == False:
return False
# Allowed analysis states
allowed_ar_states_msg = [t(_(s)) for s in self.getAllowedARStates()]
allowed_an_states_msg = [
t(_(s)) for s in self.getAllowedAnalysisStates()
]
self.log("Allowed Analysis Request states: ${allowed_states}",
mapping={'allowed_states': ', '.join(allowed_ar_states_msg)})
self.log("Allowed analysis states: ${allowed_states}",
mapping={'allowed_states': ', '.join(allowed_an_states_msg)})
# Exclude non existing ACODEs
acodes = []
ancount = 0
arprocessed = []
instprocessed = []
importedars = {}
importedinsts = {}
rawacodes = self._parser.getAnalysisKeywords()
exclude = self.getKeywordsToBeExcluded()
for acode in rawacodes:
if acode in exclude:
continue
service = self.bsc(getKeyword=acode)
if not service:
self.warn('Service keyword ${analysis_keyword} not found',
mapping={"analysis_keyword": acode})
else:
acodes.append(acode)
if len(acodes) == 0:
self.err("Service keywords: no matches found")
searchcriteria = self.getIdSearchCriteria()
#self.log(_("Search criterias: %s") % (', '.join(searchcriteria)))
for objid, results in self._parser.getRawResults().iteritems():
# Allowed more than one result for the same sample and analysis.
# Needed for calibration tests
for result in results:
analyses = self._getZODBAnalyses(objid)
inst = None
if len(analyses) == 0 and self.instrument_uid:
# No registered analyses found, but maybe we need to
# create them first if an instruemnt id has been set in
insts = self.bsc(portal_type='Instrument',
UID=self.instrument_uid)
if len(insts) == 0:
# No instrument found
self.err(
"No Analysis Request with '${allowed_ar_states}' "
"states found, And no QC analyses found for ${object_id}",
mapping={
"allowed_ar_states":
', '.join(allowed_ar_states_msg),
"object_id":
objid
})
self.err("Instrument not found")
continue
inst = insts[0].getObject()
# Create a new ReferenceAnalysis and link it to the Instrument
# Here we have an objid (i.e. R01200012) and
# a dict with results (the key is the AS keyword).
# How can we create a ReferenceAnalysis if we don't know
# which ReferenceSample we might use?
# Ok. The objid HAS to be the ReferenceSample code.
refsample = self.bc(portal_type='ReferenceSample',
id=objid)
if refsample and len(refsample) == 1:
refsample = refsample[0].getObject()
elif refsample and len(refsample) > 1:
# More than one reference sample found!
self.err(
"More than one reference sample found for '${object_id}'",
mapping={"object_id": objid})
continue
else:
# No reference sample found!
self.err("No Reference Sample found for ${object_id}",
mapping={"object_id": objid})
continue
# For each acode, create a ReferenceAnalysis and attach it
# to the Reference Sample
service_uids = []
reference_type = 'b' if refsample.getBlank(
) == True else 'c'
services = self.bsc(portal_type='AnalysisService')
service_uids = [service.UID for service in services \
if service.getObject().getKeyword() in result.keys()]
analyses = inst.addReferences(refsample, service_uids)
elif len(analyses) == 0:
# No analyses found
self.err(
"No Analysis Request with '${allowed_ar_states}' "
"states neither QC analyses found for ${object_id}",
mapping={
"allowed_ar_states":
', '.join(allowed_ar_states_msg),
"object_id": objid
})
continue
# Look for timestamp
capturedate = result.get('DateTime', {}).get('DateTime', None)
if capturedate:
del result['DateTime']
for acode, values in result.iteritems():
if acode not in acodes:
# Analysis keyword doesn't exist
continue
ans = [analysis for analysis in analyses \
if analysis.getKeyword() == acode]
if len(ans) > 1:
self.err(
"More than one analyses found for ${object_id} and ${analysis_keyword)",
mapping={
"object_id": objid,
"analysis_keyword": acode
})
continue
elif len(ans) == 0:
self.err(
"No analyses found for ${object_id} and ${analysis_keyword)",
mapping={
"object_id": objid,
"analysis_keyword": acode
})
continue
analysis = ans[0]
if capturedate:
values['DateTime'] = capturedate
processed = self._process_analysis(objid, analysis, values)
if processed:
ancount += 1
if inst:
# Calibration Test (import to Instrument)
instprocessed.append(inst.UID())
importedinst = inst.title in importedinsts.keys() \
and importedinsts[inst.title] or []
if acode not in importedinst:
importedinst.append(acode)
importedinsts[inst.title] = importedinst
else:
ar = analysis.portal_type == 'Analysis' and analysis.aq_parent or None
if ar and ar.UID:
# Set AR imported info
arprocessed.append(ar.UID())
importedar = ar.getRequestID() in importedars.keys() \
and importedars[ar.getRequestID()] or []
if acode not in importedar:
importedar.append(acode)
importedars[ar.getRequestID()] = importedar
# Create the AttachmentType for mime type if not exists
attuid = None
attachmentType = self.bsc(
portal_type="AttachmentType",
title=self._parser.getAttachmentFileType())
if len(attachmentType) == 0:
try:
folder = self.context.bika_setup.bika_attachmenttypes
obj = _createObjectByType(
"AttachmentType", folder, tmpID())
obj.edit(
title=self._parser.getAttachmentFileType(),
description="Autogenerated file type")
obj.unmarkCreationFlag()
renameAfterCreation(obj)
attuid = obj.UID()
except:
attuid = None
self.err(
"Unable to create the Attachment Type ${mime_type}",
mapping={
"mime_type":
self._parser.getFileMimeType()
})
else:
attuid = attachmentType[0].UID
if attuid is not None:
try:
# Attach the file to the Analysis
wss = analysis.getBackReferences(
'WorksheetAnalysis')
if wss and len(wss) > 0:
#TODO: Mirar si es pot evitar utilitzar el WS i utilitzar directament l'Anàlisi (útil en cas de CalibrationTest)
ws = wss[0]
attachment = _createObjectByType(
"Attachment", ws, tmpID())
attachment.edit(
AttachmentFile=self._parser.
getInputFile(),
AttachmentType=attuid,
AttachmentKeys=
'Results, Automatic import')
attachment.reindexObject()
others = analysis.getAttachment()
attachments = []
for other in others:
if other.getAttachmentFile(
).filename != attachment.getAttachmentFile(
).filename:
attachments.append(other.UID())
attachments.append(attachment.UID())
analysis.setAttachment(attachments)
except:
# self.err(_("Unable to attach results file '${file_name}' to AR ${request_id}",
# mapping={"file_name": self._parser.getInputFile().filename,
# "request_id": ar.getRequestID()}))
pass
# Calculate analysis dependencies
for aruid in arprocessed:
ar = self.bc(portal_type='AnalysisRequest', UID=aruid)
ar = ar[0].getObject()
analyses = ar.getAnalyses()
for analysis in analyses:
analysis = analysis.getObject()
if analysis.calculateResult(True, True):
self.log(
"${request_id} calculated result for '${analysis_keyword}': '${analysis_result}'",
mapping={
"request_id": ar.getRequestID(),
"analysis_keyword": analysis.getKeyword(),
"analysis_result": str(analysis.getResult())
})
# Not sure if there's any reason why ReferenceAnalyses have not
# defined the method calculateResult...
# Needs investigation.
#for instuid in instprocessed:
# inst = self.bsc(portal_type='Instrument',UID=instuid)[0].getObject()
# analyses = inst.getAnalyses()
# for analysis in analyses:
# if (analysis.calculateResult(True, True)):
# self.log(_("%s calculated result for '%s': '%s'") %
# (inst.title, analysis.getKeyword(), str(analysis.getResult())))
for arid, acodes in importedars.iteritems():
acodesmsg = ["Analysis %s" % acod for acod in acodes]
self.log(
"${request_id}: ${analysis_keywords} imported sucessfully",
mapping={
"request_id": arid,
"analysis_keywords": acodesmsg
})
for instid, acodes in importedinsts.iteritems():
acodesmsg = ["Analysis %s" % acod for acod in acodes]
msg = "%s: %s %s" % (instid, ", ".join(acodesmsg),
"imported sucessfully")
self.log(msg)
if self.instrument_uid:
self.log(
"Import finished successfully: ${nr_updated_ars} ARs, "
"${nr_updated_instruments} Instruments and ${nr_updated_results} "
"results updated",
mapping={
"nr_updated_ars": str(len(importedars)),
"nr_updated_instruments": str(len(importedinsts)),
"nr_updated_results": str(ancount)
})
else:
self.log(
"Import finished successfully: ${nr_updated_ars} ARs and "
"${nr_updated_results} results updated",
mapping={
"nr_updated_ars": str(len(importedars)),
"nr_updated_results": str(ancount)
})
def _import_file(self, importoption, csvfile, client_id):
fullfilename = csvfile.filename
fullfilename = fullfilename.split('/')[-1]
filename = fullfilename.split('.')[0]
log = []
r = self.portal_catalog(portal_type='Client', id=client_id)
if len(r) == 0:
#This is not a user input issue - client_id is added to template
log.append(' Could not find Client %s' % client_id)
return None, '\n'.join(log)
client = r[0].getObject()
updateable_states = ['sample_received', 'assigned']
reader = csv.reader(csvfile.readlines())
samples = []
sample_headers = None
batch_headers = None
batch_remarks = []
row_count = 0
for row in reader:
row_count = row_count + 1
if not row:
continue
# a new batch starts
if row_count == 1:
if row[0] == 'Header':
continue
else:
msg = '%s invalid batch header' % row
transaction_note(msg)
return None, msg
elif row_count == 2:
msg = None
if row[1] != 'Import':
msg = 'Invalid batch header - Import required in cell B2'
transaction_note(msg)
return None, msg
entered_name = fullfilename.split('.')[0]
if not row[2] or entered_name.lower() != row[2].lower():
msg = 'Filename, %s, does not match entered filename, %s' \
% (filename, row[2])
transaction_note(msg)
return None, msg
batch_headers = row[0:]
arimport_id = tmpID()
title = filename
idx = 1
while title in [i.Title() for i in client.objectValues()]:
title = '%s-%s' % (filename, idx)
idx += 1
arimport = _createObjectByType("ARImport", client, arimport_id,
title=title)
arimport.unmarkCreationFlag()
continue
elif row_count == 3:
sample_headers = row[10:]
continue
elif row_count in [4,5,6]:
continue
#otherwise add to list of sample
samples.append(row)
if not row_count:
msg = 'Invalid batch header'
transaction_note(msg)
return None, msg
pad = 8192*' '
request = self.request
title = 'Importing file'
bar = ProgressBar(
self.context, self.request, title, description='')
notify(InitialiseProgressBar(bar))
sample_count = len(samples)
row_count = 0
for sample in samples:
next_num = tmpID()
row_count = row_count + 1
item_remarks = []
progress_index = float(row_count)/float(sample_count)*100.0
progress = ProgressState(self.request, progress_index)
notify(UpdateProgressEvent(progress))
#TODO REmove for production - just to look pretty
#time.sleep(1)
analyses = []
for i in range(10, len(sample)):
if sample[i] != '1':
continue
analyses.append(sample_headers[(i-10)])
if len(analyses) > 0:
aritem_id = '%s_%s' %('aritem', (str(next_num)))
aritem = _createObjectByType("ARImportItem", arimport, aritem_id)
aritem.edit(
SampleName=sample[0],
ClientRef=batch_headers[10],
ClientSid=sample[1],
SampleDate=sample[2],
SampleType = sample[3],
PickingSlip = sample[4],
ContainerType = sample[5],
ReportDryMatter = sample[6],
Priority = sample[7],
)
aritem.setRemarks(item_remarks)
if importoption == 'c':
aritem.setAnalyses(analyses)
elif importoption == 'p':
aritem.setAnalysisProfile(analyses)
cc_names_report = ','.join(
[i.strip() for i in batch_headers[6].split(';')]) \
if (batch_headers and len(batch_headers) > 7) else ""
cc_emails_report = ','.join(
[i.strip() for i in batch_headers[7].split(';')]) \
if batch_headers and len(batch_headers) > 8 else ""
cc_emails_invoice = ','.join(
[i.strip() for i in batch_headers[8].split(';')]) \
if batch_headers and len(batch_headers) > 9 else ""
try:
numOfSamples = int(batch_headers[12])
except:
numOfSamples = 0
arimport.edit(
ImportOption=importoption,
FileName=batch_headers[2],
OriginalFile=csvfile,
ClientTitle = batch_headers[3],
ClientID = batch_headers[4],
ContactID = batch_headers[5],
CCNamesReport = cc_names_report,
CCEmailsReport = cc_emails_report,
CCEmailsInvoice = cc_emails_invoice,
OrderID = batch_headers[9],
QuoteID = batch_headers[10],
SamplePoint = batch_headers[11],
NumberSamples = numOfSamples,
Remarks = batch_remarks,
Analyses = sample_headers,
DateImported=DateTime(),
)
arimport._renameAfterCreation()
valid = arimport.validateIt()
return arimport, msg
