def getOverview():
stats=[]
stats.append({'title': 'Total documents',
'value': Docs.count(),
'text': "%s Documents" % Docs.count()})
stats.append({'title':
'Total Pippies',
'value': Pippies.count(),
'text': "with %s Pippies" % Pippies.count()})
stats.append({'title': 'Locations',
'value': Frags.count(),
'text': "in %s Locations" % Frags.count()})
return stats
def getOverview():
stats = []
stats.append({
'title': 'Total documents',
'value': Docs.count(),
'text': "%s Documents" % Docs.count()
})
stats.append({
'title': 'Total Pippies',
'value': Pippies.count(),
'text': "with %s Pippies" % Pippies.count()
})
stats.append({
'title': 'Locations',
'value': Frags.count(),
'text': "in %s Locations" % Frags.count()
})
return stats
def cutoffSL(doc, cutoff):
m=Code("function(){ emit( this.len , { count : 1 } );}")
r=Code("function (key, values) { var count = 0; values.forEach(function (v) {count += v.count;}); return {count: count}; }")
if Pippies.count()>0:
lens=dict([(x['_id'],int(x['value']['count'])) for x in Pippies.map_reduce(m,r,'cutoff sparkline', query={'docs': doc._id }).find()])
else:
lens={}
if lens.keys():
return [str(lens[x]) if x in lens else '0' for x in xrange(int(max(lens.keys())+1))][4:cutoff]
else:
return []
def cutoffSL(doc, cutoff):
m = Code("function(){ emit( this.len , { count : 1 } );}")
r = Code(
"function (key, values) { var count = 0; values.forEach(function (v) {count += v.count;}); return {count: count}; }"
)
if Pippies.count() > 0:
lens = dict([(x['_id'], int(x['value']['count']))
for x in Pippies.map_reduce(
m, r, 'cutoff sparkline', query={
'docs': doc._id
}).find()])
else:
lens = {}
if lens.keys():
return [
str(lens[x]) if x in lens else '0'
for x in xrange(int(max(lens.keys()) + 1))
][4:cutoff]
else:
return []
