def parse_headerline(self, line):
#Process incoming header line
"""11/03/2014 14:46:46
PANalytical
Results quantitative - Omnian 2013,
Selected archive:,Omnian 2013
Number of results selected:,4
"""
# Save each header field (that we know) and its own value in the dict
if line.startswith('Results quantitative'):
line = to_unicode(line)
if len(self._header) == 0:
self.err("Unexpected header format", numline=self._numline)
return -1
line = line.replace(',', "")
splitted = line.split(' - ')
self._header['Quantitative'] = splitted[1]
return 1
if line.startswith('Selected archive'):
if len(self._header) == 0:
self.err("No header found", numline=self._numline)
return -1
splitted = self.splitLine(line)
if len(splitted) > 1:
self._header['Archive'] = splitted[1].replace('"', '').strip()
else:
self.warn('Unexpected header format', numline=self._numline)
return 0
if line.startswith('Number of'):
if len(self._header) == 0:
self.err("No header found", numline=self._numline)
return -1
splitted = self.splitLine(line)
if len(splitted) > 1:
self._header['NumResults'] = splitted[1].replace('"',
'').strip()
else:
self.warn('Unexpected header format', numline=self._numline)
return 0
if line.startswith('Seq.'):
if len(self._header) == 0:
self.err("No header found", numline=self._numline)
return -1
#Grab column names
self._columns = line.split(',')
self._end_header = True
return 1
else:
self._header['Date'] = line
return 1
def parse_headerline(self, line):
#Process incoming header line
"""11/03/2014 14:46:46
PANalytical
Results quantitative - Omnian 2013,
Selected archive:,Omnian 2013
Number of results selected:,4
"""
# Save each header field (that we know) and its own value in the dict
if line.startswith('Results quantitative'):
line = to_unicode(line)
if len(self._header) == 0:
self.err("Unexpected header format", numline=self._numline)
return -1
line = line.replace(',', "")
splitted = line.split(' - ')
self._header['Quantitative'] = splitted[1]
return 1
if line.startswith('Selected archive'):
if len(self._header) == 0:
self.err("No header found", numline=self._numline)
return -1
splitted = self.splitLine(line)
if len(splitted) > 1:
self._header['Archive'] = splitted[1].replace('"', '').strip()
else:
self.warn('Unexpected header format', numline=self._numline)
return 0
if line.startswith('Number of'):
if len(self._header) == 0:
self.err("No header found", numline=self._numline)
return -1
splitted = self.splitLine(line)
if len(splitted) > 1:
self._header['NumResults'] = splitted[1].replace('"', '').strip()
else:
self.warn('Unexpected header format', numline=self._numline)
return 0
if line.startswith('Seq.'):
if len(self._header) == 0:
self.err("No header found", numline=self._numline)
return -1
#Grab column names
self._columns = line.split(',')
self._end_header = True
return 1
else:
self._header['Date'] = line
return 1
def __call__(self):
CheckAuthenticator(self.request)
uid = self.request.get('UID', '')
title = self.request.get('Title', '')
ret = {
'UID': '',
'Title': '',
'Prefix': '',
'Hazardous': '',
'SampleMatrixUID': '',
'SampleMatrixTitle': '',
'MinimumVolume': '',
'ContainerTypeUID': '',
'ContainerTypeTitle': '',
'SamplePoints': ('', ),
'StorageLocations': ('', ),
}
proxies = None
if uid:
try:
bsc = getToolByName(self.context, 'bika_setup_catalog')
proxies = bsc(UID=uid)
except ParseError:
pass
elif title:
try:
bsc = getToolByName(self.context, 'bika_setup_catalog')
proxies = bsc(portal_type='SampleType',
title=to_unicode(title))
except ParseError:
pass
if proxies and len(proxies) == 1:
st = proxies[0].getObject()
ret = {
'UID': st.UID(),
'Title': st.Title(),
'Prefix': st.getPrefix(),
'Hazardous': st.getHazardous(),
'SampleMatrixUID': st.getSampleMatrix() and \
st.getSampleMatrix().UID() or '',
'SampleMatrixTitle': st.getSampleMatrix() and \
st.getSampleMatrix().Title() or '',
'MinimumVolume': st.getMinimumVolume(),
'ContainerTypeUID': st.getContainerType() and \
st.getContainerType().UID() or '',
'ContainerTypeTitle': st.getContainerType() and \
st.getContainerType().Title() or '',
'SamplePoints': dict((sp.UID(),sp.Title()) for sp in st.getSamplePoints()),
'StorageLocations': dict((sp.UID(),sp.Title()) for sp in st.getStorageLocations()),
}
return json.dumps(ret)
def __call__(self):
CheckAuthenticator(self.request)
uid = self.request.get('UID', '')
title = self.request.get('Title', '')
ret = {
'UID': '',
'Title': '',
'Prefix': '',
'Hazardous': '',
'SampleMatrixUID': '',
'SampleMatrixTitle': '',
'MinimumVolume': '',
'ContainerTypeUID': '',
'ContainerTypeTitle': '',
'SamplePoints': ('',),
'StorageLocations': ('',),
}
proxies = None
if uid:
try:
bsc = getToolByName(self.context, 'bika_setup_catalog')
proxies = bsc(UID=uid)
except ParseError:
pass
elif title:
try:
bsc = getToolByName(self.context, 'bika_setup_catalog')
proxies = bsc(portal_type='SampleType', title=to_unicode(title))
except ParseError:
pass
if proxies and len(proxies) == 1:
st = proxies[0].getObject();
ret = {
'UID': st.UID(),
'Title': st.Title(),
'Prefix': st.getPrefix(),
'Hazardous': st.getHazardous(),
'SampleMatrixUID': st.getSampleMatrix() and \
st.getSampleMatrix().UID() or '',
'SampleMatrixTitle': st.getSampleMatrix() and \
st.getSampleMatrix().Title() or '',
'MinimumVolume': st.getMinimumVolume(),
'ContainerTypeUID': st.getContainerType() and \
st.getContainerType().UID() or '',
'ContainerTypeTitle': st.getContainerType() and \
st.getContainerType().Title() or '',
'SamplePoints': dict((sp.UID(),sp.Title()) for sp in st.getSamplePoints()),
'StorageLocations': dict((sp.UID(),sp.Title()) for sp in st.getStorageLocations()),
}
return json.dumps(ret)
def setSamplePoint(self, value, **kw):
""" Accept Object, Title or UID, and convert SampleType title to UID
before saving.
"""
if hasattr(value, "portal_type") and value.portal_type == "SamplePoint":
pass
else:
bsc = getToolByName(self, 'bika_setup_catalog')
sampletypes = bsc(portal_type='SamplePoint', title=to_unicode(value))
if sampletypes:
value = sampletypes[0].UID
else:
sampletypes = bsc(portal_type='SamplePoint', UID=value)
if sampletypes:
value = sampletypes[0].UID
else:
value = None
for ar in self.getAnalysisRequests():
ar.Schema()['SamplePoint'].set(ar, value)
return self.Schema()['SamplePoint'].set(self, value)
def parse_headerline(self, line):
#Process incoming header line
"""
29/11/2013 10:15:44
PANalytical
"Quantification of sample ESFERA CINZA - 1g H3BO3 - 1:0,5 - NO PPC",
R.M.S.:,"0,035"
Result status:,
Sum before normalization:,"119,5 %"
Normalised to:,"100,0 %"
Sample type:,Pressed powder
Initial sample weight (g):,"2,000"
Weight after pressing (g):,"3,000"
Correction applied for medium:,No
Correction applied for film:,No
Used Compound list:,Oxides
Results database:,omnian 2013
Results database in:,c:\panalytical\superq\userdata
"""
if line.startswith('"Quantification of sample') or line.startswith(
'Quantification of sample'):
line = to_unicode(line)
if len(self._header) == 0:
self.warn('Unexpected header format', numline=self._numline)
return -1
# Remove non important string and double comas to obtein
# the sample name free
line = line.replace("Quantification of sample ", "")
line = line.replace('"', "")
splitted = line.split(' - ')
if len(
splitted
) > 3: # Maybe we don't need this, i could be all the sample's identifier...
self._header['Sample'] = splitted[0].strip(' ')
self._header['Quantity'] = splitted[1]
self._header['????'] = splitted[2] # At present we
# don't know what
# is that
self._header['PPC'] = splitted[3]
elif len(splitted) == 1:
self._header['Sample'] = splitted[0].replace(
'Quantification of sample', '').strip(' ')
else:
self.warn('Unexpected header format', numline=self._numline)
return 1
# Save each header field (that we know) and its own value in the dict
if line.startswith('R.M.S.'):
if len(self._header) == 0:
self.err("No header found", numline=self._numline)
return -1
splitted = self.splitLine(line)
if len(splitted) > 1:
self._header['R.M.S.'] = splitted[1].replace('"', '').strip()
else:
self.warn('Unexpected header format', numline=self._numline)
return 0
if line.startswith('Result status'):
if len(self._header) == 0:
self.err("No header found", numline=self._numline)
splitted = self.splitLine(line)
if len(splitted) > 1:
self._header['Result status'] = splitted[1].replace(
'"', '').strip()
else:
self.warn('Unexpected header format', numline=self._numline)
return 0
if line.startswith('Sum before normalization'):
if len(self._header) == 0:
self.err("No header found", numline=self._numline)
return -1
splitted = self.splitLine(line)
if len(splitted) > 1:
self._header['Sum'] = splitted[1].replace('"', '').strip()
else:
self.warn('Unexpected header format', numline=self._numline)
return 0
if line.startswith('Normalised to'):
if len(self._header) == 0:
self.err("No header found", numline=self._numline)
return -1
splitted = self.splitLine(line)
if len(splitted) > 1:
self._header['Normalized'] = splitted[1].replace('"',
'').strip()
else:
self.warn('Unexpected header format', numline=self._numline)
return 0
if line.startswith('Sample type'):
if len(self._header) == 0:
self.err("No header found", numline=self._numline)
return -1
splitted = self.splitLine(line)
if len(splitted) > 1:
self._header['Sample type'] = splitted[1].strip()
else:
self.warn('Unexpected header format', numline=self._numline)
return 0
if line.startswith('Initial sample weight (g)'):
if len(self._header) == 0:
self.err("No header found", numline=self._numline)
return -1
splitted = self.splitLine(line)
if len(splitted) > 1:
self._header['Initial sample weight'] = splitted[1].replace(
'"', '').strip()
else:
self.warn('Unexpected header format', numline=self._numline)
return 0
if line.startswith('Weight after pressing (g)'):
if len(self._header) == 0:
self.err("No header found", numline=self._numline)
return -1
splitted = self.splitLine(line)
if len(splitted) > 1:
self._header['Weight after pressing'] = splitted[1].replace(
'"', '').strip()
else:
self.warn('Unexpected header format', numline=self._numline)
return 0
if line.startswith('Correction applied for medium'):
if len(self._header) == 0:
self.warn('Unexpected header format', numline=self._numline)
return -1
splitted = self.splitLine(line)
if len(splitted) > 1:
self._header['Correction medium'] = splitted[1].replace(
'"', '').strip()
else:
self.warn('Unexpected header format', numline=self._numline)
return 0
if line.startswith('Correction applied for film'):
if len(self._header) == 0:
self.err("No header found", numline=self._numline)
return -1
splitted = self.splitLine(line)
if len(splitted) > 1:
self._header['Correction film'] = splitted[1].replace(
'"', '').strip()
else:
self.warn('Unexpected header format', numline=self._numline)
return 0
if line.startswith('Used Compound list'):
if len(self._header) == 0:
self.err("No header found", numline=self._numline)
return -1
splitted = self.splitLine(line)
if len(splitted) > 1:
self._header['Used compound'] = splitted[1].replace(
'"', '').strip()
else:
self.warn('Unexpected header format', numline=self._numline)
return 0
if line.startswith('Results database:'):
if len(self._header) == 0:
self.err("No header found", numline=self._numline)
return -1
splitted = self.splitLine(line)
if len(splitted) > 1:
self._header['Result database'] = splitted[1].replace(
'"', '').strip()
else:
self.warn('Unexpected header format', numline=self._numline)
return 0
if self.columns_name:
if len(self._header) == 0:
self.err("No header found", numline=self._numline)
return -1
#Grab column names
self._end_header = True
self._columns = self.splitLine(line)
return 1
if line.startswith('Results database in'):
if len(self._header) == 0:
self.err("No header found", numline=self._numline)
return -1
splitted = self.splitLine(line)
if len(splitted) > 1:
self._header['Database path'] = splitted[1] + splitted[2]
self.columns_name = True
else:
self.warn('Unexpected header format', numline=self._numline)
return 1
else:
self._header['Date'] = line
return 1
def __call__(self):
CheckAuthenticator(self.request)
bsc = getToolByName(self.context, 'bika_setup_catalog')
uc = getToolByName(self.context, 'uid_catalog')
service_title = self.request.get('service_title', '').strip()
if not service_title:
return ''
analysis = uc(UID=self.request.get('analysis_uid', None))
if analysis:
analysis = analysis[0].getObject()
self.request['ajax_load'] = 1
tmp = LogView(analysis, self.request)
self.log = tmp.folderitems()
self.log.reverse()
else:
self.log = []
brains = bsc(portal_type="AnalysisService",
title=to_unicode(service_title))
if not brains:
return ''
self.service = brains[0].getObject()
self.calc = self.service.getCalculation()
self.partsetup = self.service.getPartitionSetup()
# convert uids to comma-separated list of display titles
for i, ps in enumerate(self.partsetup):
self.partsetup[i]['separate'] = \
ps.has_key('separate') and _('Yes') or _('No')
if type(ps['sampletype']) == str:
ps['sampletype'] = [
ps['sampletype'],
]
sampletypes = []
for st in ps['sampletype']:
res = bsc(UID=st)
sampletypes.append(res and res[0].Title or st)
self.partsetup[i]['sampletype'] = ", ".join(sampletypes)
if ps.has_key('container'):
if type(ps['container']) == str:
self.partsetup[i]['container'] = [
ps['container'],
]
try:
containers = [bsc(UID=c)[0].Title for c in ps['container']]
except IndexError:
containers = [c for c in ps['container']]
self.partsetup[i]['container'] = ", ".join(containers)
else:
self.partsetup[i]['container'] = ''
if ps.has_key('preservation'):
if type(ps['preservation']) == str:
ps['preservation'] = [
ps['preservation'],
]
try:
preservations = [
bsc(UID=c)[0].Title for c in ps['preservation']
]
except IndexError:
preservations = [c for c in ps['preservation']]
self.partsetup[i]['preservation'] = ", ".join(preservations)
else:
self.partsetup[i]['preservation'] = ''
return self.template()
def parse_headerline(self, line):
#Process incoming header line
"""
29/11/2013 10:15:44
PANalytical
"Quantification of sample ESFERA CINZA - 1g H3BO3 - 1:0,5 - NO PPC",
R.M.S.:,"0,035"
Result status:,
Sum before normalization:,"119,5 %"
Normalised to:,"100,0 %"
Sample type:,Pressed powder
Initial sample weight (g):,"2,000"
Weight after pressing (g):,"3,000"
Correction applied for medium:,No
Correction applied for film:,No
Used Compound list:,Oxides
Results database:,omnian 2013
Results database in:,c:\panalytical\superq\userdata
"""
if line.startswith('"Quantification of sample') or line.startswith('Quantification of sample'):
line = to_unicode(line)
if len(self._header) == 0:
self.warn('Unexpected header format', numline=self._numline)
return -1
# Remove non important string and double comas to obtein
# the sample name free
line = line.replace("Quantification of sample ", "")
line = line.replace('"', "")
splitted = line.split(' - ')
if len(splitted) > 3:# Maybe we don't need this, i could be all the sample's identifier...
self._header['Sample'] = splitted[0].strip(' ')
self._header['Quantity'] = splitted[1]
self._header['????'] = splitted[2]# At present we
# don't know what
# is that
self._header['PPC'] = splitted[3]
elif len(splitted) == 1:
self._header['Sample'] = splitted[0].replace('Quantification of sample','').strip(' ')
else:
self.warn('Unexpected header format', numline=self._numline)
return 1
# Save each header field (that we know) and its own value in the dict
if line.startswith('R.M.S.'):
if len(self._header) == 0:
self.err("No header found", numline=self._numline)
return -1
splitted = self.splitLine(line)
if len(splitted) > 1:
self._header['R.M.S.'] = splitted[1].replace('"', '').strip()
else:
self.warn('Unexpected header format', numline=self._numline)
return 0
if line.startswith('Result status'):
if len(self._header) == 0:
self.err("No header found", numline=self._numline)
splitted = self.splitLine(line)
if len(splitted) > 1:
self._header['Result status'] = splitted[1].replace('"', '').strip()
else:
self.warn('Unexpected header format', numline=self._numline)
return 0
if line.startswith('Sum before normalization'):
if len(self._header) == 0:
self.err("No header found", numline=self._numline)
return -1
splitted = self.splitLine(line)
if len(splitted) > 1:
self._header['Sum'] = splitted[1].replace('"', '').strip()
else:
self.warn('Unexpected header format', numline=self._numline)
return 0
if line.startswith('Normalised to'):
if len(self._header) == 0:
self.err("No header found", numline=self._numline)
return -1
splitted = self.splitLine(line)
if len(splitted) > 1:
self._header['Normalized'] = splitted[1].replace('"', '').strip()
else:
self.warn('Unexpected header format', numline=self._numline)
return 0
if line.startswith('Sample type'):
if len(self._header) == 0:
self.err("No header found", numline=self._numline)
return -1
splitted = self.splitLine(line)
if len(splitted) > 1:
self._header['Sample type'] = splitted[1].strip()
else:
self.warn('Unexpected header format', numline=self._numline)
return 0
if line.startswith('Initial sample weight (g)'):
if len(self._header) == 0:
self.err("No header found", numline=self._numline)
return -1
splitted = self.splitLine(line)
if len(splitted) > 1:
self._header['Initial sample weight'] = splitted[1].replace('"', '').strip()
else:
self.warn('Unexpected header format', numline=self._numline)
return 0
if line.startswith('Weight after pressing (g)'):
if len(self._header) == 0:
self.err("No header found", numline=self._numline)
return -1
splitted = self.splitLine(line)
if len(splitted) > 1:
self._header['Weight after pressing'] = splitted[1].replace('"', '').strip()
else:
self.warn('Unexpected header format', numline=self._numline)
return 0
if line.startswith('Correction applied for medium'):
if len(self._header) == 0:
self.warn('Unexpected header format', numline=self._numline)
return -1
splitted = self.splitLine(line)
if len(splitted) > 1:
self._header['Correction medium'] = splitted[1].replace('"', '').strip()
else:
self.warn('Unexpected header format', numline=self._numline)
return 0
if line.startswith('Correction applied for film'):
if len(self._header) == 0:
self.err("No header found", numline=self._numline)
return -1
splitted = self.splitLine(line)
if len(splitted) > 1:
self._header['Correction film'] = splitted[1].replace('"', '').strip()
else:
self.warn('Unexpected header format', numline=self._numline)
return 0
if line.startswith('Used Compound list'):
if len(self._header) == 0:
self.err("No header found", numline=self._numline)
return -1
splitted = self.splitLine(line)
if len(splitted) > 1:
self._header['Used compound'] = splitted[1].replace('"', '').strip()
else:
self.warn('Unexpected header format', numline=self._numline)
return 0
if line.startswith('Results database:'):
if len(self._header) == 0:
self.err("No header found", numline=self._numline)
return -1
splitted = self.splitLine(line)
if len(splitted) > 1:
self._header['Result database'] = splitted[1].replace('"', '').strip()
else:
self.warn('Unexpected header format', numline=self._numline)
return 0
if self.columns_name:
if len(self._header) == 0:
self.err("No header found", numline=self._numline)
return -1
#Grab column names
self._end_header = True
self._columns = self.splitLine(line)
return 1
if line.startswith('Results database in'):
if len(self._header) == 0:
self.err("No header found", numline=self._numline)
return -1
splitted = self.splitLine(line)
if len(splitted) > 1:
self._header['Database path'] = splitted[1]+splitted[2]
self.columns_name = True
else:
self.warn('Unexpected header format', numline=self._numline)
return 1
else:
self._header['Date'] = line
return 1
def __call__(self):
CheckAuthenticator(self.request)
bsc = getToolByName(self.context, 'bika_setup_catalog')
uc = getToolByName(self.context, 'uid_catalog')
service_title = self.request.get('service_title', '').strip()
if not service_title:
return ''
analysis = uc(UID=self.request.get('analysis_uid', None))
if analysis:
analysis = analysis[0].getObject()
self.request['ajax_load'] = 1
tmp = LogView(analysis, self.request)
self.log = tmp.folderitems()
self.log.reverse()
else:
self.log = []
brains = bsc(portal_type="AnalysisService",
title=to_unicode(service_title))
if not brains:
return ''
self.service = brains[0].getObject()
self.calc = self.service.getCalculation()
self.partsetup = self.service.getPartitionSetup()
# convert uids to comma-separated list of display titles
for i,ps in enumerate(self.partsetup):
self.partsetup[i]['separate'] = \
ps.has_key('separate') and _('Yes') or _('No')
if type(ps['sampletype']) == str:
ps['sampletype'] = [ps['sampletype'],]
sampletypes = []
for st in ps['sampletype']:
res = bsc(UID=st)
sampletypes.append(res and res[0].Title or st)
self.partsetup[i]['sampletype'] = ", ".join(sampletypes)
if ps.has_key('container'):
if type(ps['container']) == str:
self.partsetup[i]['container'] = [ps['container'],]
try:
containers = [bsc(UID=c)[0].Title for c in ps['container']]
except IndexError:
containers = [c for c in ps['container']]
self.partsetup[i]['container'] = ", ".join(containers)
else:
self.partsetup[i]['container'] = ''
if ps.has_key('preservation'):
if type(ps['preservation']) == str:
ps['preservation'] = [ps['preservation'],]
try:
preservations = [bsc(UID=c)[0].Title for c in ps['preservation']]
except IndexError:
preservations = [c for c in ps['preservation']]
self.partsetup[i]['preservation'] = ", ".join(preservations)
else:
self.partsetup[i]['preservation'] = ''
return self.template()