def datapoint_cache_key(method, self, context):
"""
Return four item tuple of UID/modified for each of measure, form
context. If measure or form is modified, key is naturally not
up-to-date, which avoids struggles with invalidation if this key
is consistently used in all places we might need to cache.
Note: use string timestamps for cache keys, as they should consume
half the space (persisted) or RAM as storing a DateTime 3.x object.
"""
usebrain = isbrain(context)
# consistent UID getter works with brains and form content:
_uid = lambda o: o.UID if usebrain else IUUID(o)
# consistent timestamp getter for content objects and brains:
return (IUUID(self), modified(self), _uid(context), modified(context))
def datapoint_cache_key(method, self, context):
"""
Return four item tuple of UID/modified for each of measure, form
context. If measure or form is modified, key is naturally not
up-to-date, which avoids struggles with invalidation if this key
is consistently used in all places we might need to cache.
Note: use string timestamps for cache keys, as they should consume
half the space (persisted) or RAM as storing a DateTime 3.x object.
"""
usebrain = isbrain(context)
# consistent UID getter works with brains and form content:
_uid = lambda o: o.UID if usebrain else IUUID(o)
# consistent timestamp getter for content objects and brains:
return (
IUUID(self),
modified(self),
_uid(context),
modified(context),
)
def _datapoint(self, context):
"""uncached datapoint implementation"""
if isbrain(context):
context = get(context)
n = m = None
if (self._source_type() == MULTI_FORM_TYPE
and self.denominator_type != 'constant'):
n, m = self._mr_values(context)
divide = lambda a, b: float(a) / float(b) if b else NOVALUE
if n is None or not m:
raw = NOVALUE
else:
raw = divide(n, m)
normalized = self._normalize(raw)
else:
n, m = self._flex_values(context)
raw, normalized = self._values(context)
url = context.absolute_url()
if 'nohost' in url:
# in cases where a point is indexed in non-interactive session,
# we need a real URL to work with, assumes that 'site_url'
# property is set in portal_properties/site_properties
siteid, baseurl = self._base()
if baseurl:
url = url.replace('http://nohost/%s' % siteid, baseurl)
point_record = {
'title': context.Title(),
'url': url,
'path': content_path(context),
'start': context.start,
'value': normalized,
'raw_value': raw,
'display_value': self.display_format(normalized),
'user_notes': self.note_for(context),
}
if n is not None:
point_record['raw_numerator'] = n
if m is not None:
point_record['raw_denominator'] = m
return point_record
def _datapoint(self, context):
"""uncached datapoint implementation"""
if isbrain(context):
context = get(context)
n = m = None
if (self._source_type() == MULTI_FORM_TYPE and
self.denominator_type != 'constant'):
n, m = self._mr_values(context)
divide = lambda a, b: float(a) / float(b) if b else NOVALUE
if n is None or not m:
raw = NOVALUE
else:
raw = divide(n, m)
normalized = self._normalize(raw)
else:
n, m = self._flex_values(context)
raw, normalized = self._values(context)
url = context.absolute_url()
if 'nohost' in url:
# in cases where a point is indexed in non-interactive session,
# we need a real URL to work with, assumes that 'site_url'
# property is set in portal_properties/site_properties
siteid, baseurl = self._base()
if baseurl:
url = url.replace('http://nohost/%s' % siteid, baseurl)
point_record = {
'title': context.Title(),
'url': url,
'path': content_path(context),
'start': context.start,
'value': normalized,
'raw_value': raw,
'display_value': self.display_format(normalized),
'user_notes': self.note_for(context),
}
if n is not None:
point_record['raw_numerator'] = n
if m is not None:
point_record['raw_denominator'] = m
return point_record
