def __call__(self, request, data):
include_fields = get_include_fields(request)
if not include_fields or "ServiceDependencies" in include_fields:
data["ServiceDependencies"] = []
calc = self.context.getCalculation()
if calc:
services = [
self.service_info(service)
for service in calc.getCalculationDependencies(flat=True)
if service.UID() != self.context.UID()
]
data["ServiceDependencies"] = services
if not include_fields or "ServiceDependants" in include_fields:
data["ServiceDependants"] = []
calcs = self.context.getBackReferences(
'CalculationAnalysisService')
if calcs:
for calc in calcs:
services = [
self.service_info(service)
for service in calc.getCalculationDependants()
if service.UID() != self.context.UID()
]
data["ServiceDependants"].extend(services)
if not include_fields or "MethodInstruments" in include_fields:
data["MethodInstruments"] = {}
for method in self.context.getAvailableMethods():
for instrument in method.getInstruments():
if method.UID() not in data["MethodInstruments"]:
data["MethodInstruments"][method.UID()] = []
data["MethodInstruments"][method.UID()].append(
load_field_values(instrument, include_fields=[]))
def __call__(self, request, data):
data["ServiceDependencies"] = []
data["ServiceDependants"] = []
data["MethodInstruments"] = {}
calc = self.context.getCalculation()
if calc:
services = [self.service_info(service) for service
in calc.getCalculationDependencies(flat=True)
if service.UID() != self.context.UID()]
data["ServiceDependencies"] = services
calcs = self.context.getBackReferences('CalculationAnalysisService')
if calcs:
for calc in calcs:
services = [self.service_info(service) for service
in calc.getCalculationDependants()
if service.UID() != self.context.UID()]
data["ServiceDependants"].extend(services)
for method in self.context.getAvailableMethods():
for instrument in method.getInstruments():
if method.UID() not in data["MethodInstruments"]:
data["MethodInstruments"][method.UID()] = []
data["MethodInstruments"][method.UID()].append(
load_field_values(instrument, include_fields=[]))
def ar_analysis_values(self):
ret = []
analyses = self.context.getAnalyses(is_active=True)
for proxy in analyses:
analysis = proxy.getObject()
if proxy.review_state == 'retracted':
# these are scraped up when Retested analyses are found below.
continue
# things that are manually inserted into the analysis.
# These things will be included even if they are not present in
# include_fields in the request.
method = analysis.getMethod()
analysis_data = {
"Uncertainty": analysis.getUncertainty(),
"Method": method.Title() if method else '',
"Unit": analysis.getUnit(),
}
# Place all schema fields ino the result.
analysis_data.update(load_brain_metadata(proxy, []))
# Place all schema fields ino the result.
analysis_data.update(load_field_values(analysis, []))
# call any adapters that care to modify the Analysis data.
# adapters = getAdapters((analysis, ), IJSONReadExtender)
# for name, adapter in adapters:
# adapter(request, analysis_data)
if not self.include_fields or "transitions" in self.include_fields:
analysis_data['transitions'] = get_workflow_actions(analysis)
retest_of = analysis.getRetestOf()
if retest_of:
prevs = [{'created': str(retest_of.created()),
'Result': retest_of.getResult(),
'InterimFields': retest_of.getInterimFields()}]
analysis_data['Previous Results'] = prevs
ret.append(analysis_data)
return ret
def __call__(self, request, data):
include_fields = get_include_fields(request)
if not include_fields or "MethodInstruments" in include_fields:
data["MethodInstruments"] = {}
for method in self.context.getAvailableMethods():
for instrument in method.getInstruments():
if method.UID() not in data["MethodInstruments"]:
data["MethodInstruments"][method.UID()] = []
data["MethodInstruments"][method.UID()].append(
load_field_values(instrument, include_fields=[]))
def __call__(self, request, data):
include_fields = get_include_fields(request)
if not include_fields or "MethodInstruments" in include_fields:
data["MethodInstruments"] = {}
for method in self.context.getAvailableMethods():
for instrument in method.getInstruments():
if method.UID() not in data["MethodInstruments"]:
data["MethodInstruments"][method.UID()] = []
data["MethodInstruments"][method.UID()].append(
load_field_values(instrument, include_fields=[]))
def ar_analysis_values(self):
ret = []
analyses = self.context.getAnalyses(cancellation_state='active')
for proxy in analyses:
analysis = proxy.getObject()
service = analysis.getService()
if proxy.review_state == 'retracted':
# these are scraped up when Retested analyses are found below.
continue
# things that are manually inserted into the analysis.
# These things will be included even if they are not present in
# include_fields in the request.
method = analysis.getMethod()
if not method:
method = service.getMethod()
service = analysis.getService()
hs = hasattr(analysis, "specification")
analysis_data = {
"Uncertainty": service.getUncertainty(analysis.getResult()),
"Method": method.Title() if method else '',
"specification": analysis.specification if hs else {},
"Unit": service.getUnit(),
}
# Place all schema fields ino the result.
analysis_data.update(load_brain_metadata(proxy, []))
# Place all schema fields ino the result.
analysis_data.update(load_field_values(analysis, []))
# call any adapters that care to modify the Analysis data.
# adapters = getAdapters((analysis, ), IJSONReadExtender)
# for name, adapter in adapters:
# adapter(request, analysis_data)
if not self.include_fields or "transitions" in self.include_fields:
analysis_data['transitions'] = get_workflow_actions(analysis)
if analysis.getRetested():
retracted = self.context.getAnalyses(review_state='retracted',
title=analysis.Title(),
full_objects=True)
prevs = sorted(retracted, key=lambda item: item.created())
prevs = [{'created': str(p.created()),
'Result': p.getResult(),
'InterimFields': p.getInterimFields()}
for p in prevs]
analysis_data['Previous Results'] = prevs
ret.append(analysis_data)
return ret
def read(context, request):
tag = AuthenticatorView(context, request).authenticator()
pattern = '<input .*name="(\w+)".*value="(\w+)"'
_authenticator = re.match(pattern, tag).groups()[1]
ret = {
"url": router.url_for("read", force_external=True),
"success": True,
"error": False,
"objects": [],
"_authenticator": _authenticator,
}
debug_mode = App.config.getConfiguration().debug_mode
catalog_name = request.get("catalog_name", "portal_catalog")
if not catalog_name:
raise ValueError("bad or missing catalog_name: " + catalog_name)
catalog = getToolByName(context, catalog_name)
indexes = catalog.indexes()
contentFilter = {}
for index in indexes:
if index in request:
if index == 'review_state' and "{" in request[index]:
continue
contentFilter[index] = safe_unicode(request[index])
if "%s[]"%index in request:
value = request["%s[]"%index]
if type(value) in (list, tuple):
contentFilter[index] = [safe_unicode(v) for v in value]
else:
contentFilter[index] = value
if 'limit' in request:
try:
contentFilter['sort_limit'] = int(request["limit"])
except ValueError:
pass
sort_on = request.get('sort_on', 'id')
contentFilter['sort_on'] = sort_on
# sort order
sort_order = request.get('sort_order', '')
if sort_order:
contentFilter['sort_order'] = sort_order
else:
sort_order = 'ascending'
contentFilter['sort_order'] = 'ascending'
include_fields = get_include_fields(request)
if debug_mode:
logger.info("contentFilter: " + str(contentFilter))
# Get matching objects from catalog
proxies = catalog(**contentFilter)
# batching items
page_nr = int(request.get("page_nr", 0))
try:
page_size = int(request.get("page_size", 10))
except ValueError:
page_size = 10
# page_size == 0: show all
if page_size == 0:
page_size = len(proxies)
first_item_nr = page_size * page_nr
if first_item_nr > len(proxies):
first_item_nr = 0
page_proxies = proxies[first_item_nr:first_item_nr + page_size]
for proxy in page_proxies:
obj_data = {}
# Place all proxy attributes into the result.
obj_data.update(load_brain_metadata(proxy, include_fields))
# Place all schema fields ino the result.
obj = proxy.getObject()
obj_data.update(load_field_values(obj, include_fields))
obj_data['path'] = "/".join(obj.getPhysicalPath())
# call any adapters that care to modify this data.
adapters = getAdapters((obj, ), IJSONReadExtender)
for name, adapter in adapters:
adapter(request, obj_data)
ret['objects'].append(obj_data)
ret['total_objects'] = len(proxies)
ret['first_object_nr'] = first_item_nr
last_object_nr = first_item_nr + len(page_proxies)
if last_object_nr > ret['total_objects']:
last_object_nr = ret['total_objects']
ret['last_object_nr'] = last_object_nr
if debug_mode:
logger.info("{0} objects returned".format(len(ret['objects'])))
return ret
def read(context, request):
tag = AuthenticatorView(context, request).authenticator()
pattern = '<input .*name="(\w+)".*value="(\w+)"'
_authenticator = re.match(pattern, tag).groups()[1]
ret = {
"url": router.url_for("read", force_external=True),
"success": True,
"error": False,
"objects": [],
"_authenticator": _authenticator,
}
debug_mode = App.config.getConfiguration().debug_mode
catalog_name = request.get("catalog_name", "portal_catalog")
if not catalog_name:
raise ValueError("bad or missing catalog_name: " + catalog_name)
catalog = getToolByName(context, catalog_name)
indexes = catalog.indexes()
contentFilter = {}
for index in indexes:
if index in request:
if index == 'review_state' and "{" in request[index]:
continue
contentFilter[index] = safe_unicode(request[index])
if "%s[]"%index in request:
value = request["%s[]"%index]
if type(value) in (list, tuple):
contentFilter[index] = [safe_unicode(v) for v in value]
else:
contentFilter[index] = value
if 'limit' in request:
try:
contentFilter['sort_limit'] = int(request["limit"])
except ValueError:
pass
sort_on = request.get('sort_on', 'id')
contentFilter['sort_on'] = sort_on
# sort order
sort_order = request.get('sort_order', '')
if sort_order:
contentFilter['sort_order'] = sort_order
else:
sort_order = 'ascending'
contentFilter['sort_order'] = 'ascending'
include_fields = get_include_fields(request)
if debug_mode:
logger.info("contentFilter: " + str(contentFilter))
# Get matching objects from catalog
proxies = catalog(**contentFilter)
# batching items
page_nr = int(request.get("page_nr", 0))
try:
page_size = int(request.get("page_size", 10))
except ValueError:
page_size = 10
# page_size == 0: show all
if page_size == 0:
page_size = len(proxies)
first_item_nr = page_size * page_nr
if first_item_nr > len(proxies):
first_item_nr = 0
page_proxies = proxies[first_item_nr:first_item_nr + page_size]
for proxy in page_proxies:
obj_data = {}
# Place all proxy attributes into the result.
obj_data.update(load_brain_metadata(proxy, include_fields))
# Place all schema fields ino the result.
obj = proxy.getObject()
obj_data.update(load_field_values(obj, include_fields))
obj_data['path'] = "/".join(obj.getPhysicalPath())
# call any adapters that care to modify this data.
adapters = getAdapters((obj, ), IJSONReadExtender)
for name, adapter in adapters:
adapter(request, obj_data)
ret['objects'].append(obj_data)
ret['total_objects'] = len(proxies)
ret['first_object_nr'] = first_item_nr
last_object_nr = first_item_nr + len(page_proxies)
if last_object_nr > ret['total_objects']:
last_object_nr = ret['total_objects']
ret['last_object_nr'] = last_object_nr
if debug_mode:
logger.info("{0} objects returned".format(len(ret['objects'])))
return ret
