def index(self, dataset, format='html'):
c.dataset = model.dataset.find_one_by('name', dataset)
if not c.dataset:
abort(404, _('Sorry, there is no dataset named %s') % dataset)
c.dimensions = model.dimension.get_dataset_dimensions(c.dataset['name'])
c.dimensions = [d for d in c.dimensions if d['key'] not in ENTRY_FIELDS]
if format == 'json':
return to_jsonp(list(c.dimensions))
else:
return render('dimension/index.html')
def view(self, dataset, dimension, format='html'):
c.dataset = model.dataset.find_one_by('name', dataset)
if not c.dataset:
abort(404, _('Sorry, there is no dataset named %s') % dataset)
if dimension in ENTRY_FIELDS or "." in dimension:
abort(400, _('This is not a dimension'))
c.meta = model.dimension.find_one({"dataset": c.dataset['name'],
"key": dimension})
if c.meta is None:
c.meta = {}
# TODO: pagination!
try:
page = int(request.params.get('page'))
except:
page = 1
cube = find_cube(c.dataset, [dimension])
# ok
if cube is not None:
try:
result = cube.query([dimension], page=page, pagesize=PAGE_SIZE,
order=[('amount', True)])
except Exception as e:
error = str(e)
if "too much data for sort" in error:
error = """Database tuning required: the dataset specified
is so large that it cannot be searched quickly
enough to fulfil your request in reasonable time.
Please request that an administrator add an
index to speed up this query."""
abort(403, error)
items = result.get('drilldown', [])
c.values = [(d.get(dimension), d.get('amount')) for d in items]
else:
abort(403, "none")
items = distinct(dimension, dataset_name=c.dataset['name'])
c.values = [(i, 0.0) for i in items]
if format == 'json':
return to_jsonp({
"values": c.values,
"meta": c.meta})
c.page = Page(c.values, page=page,
items_per_page=PAGE_SIZE)
return render('dimension/view.html')
def to_jsonp(self):
return jsonp.to_jsonp({
'results': self.entities,
'stats': self.stats,
'facets': dict([(k, self.facet_values(k)) for k in self.facets])
})
def _view_json(self, result):
return to_jsonp(result)
