generate some fake production data..

fakedata.py

@@ -74,6 +74,14 @@ def linramp(start, end, wtarget, minsize):
 		#print(repr((x, i)))
 		yield (i, x / ndates * wtarget)
 
+def makeconsumption(s, mean, sig, interval):
+	s = s.replace(hour=0, minute=0, second=0)
+	e = (s + timedelta(days=1)) - interval
+
+	ret = [ (i, rand.gauss(mean, sig)) for i in drange(s, e, interval) ]
+
+	return ret
+
 def distribute(s, e, prod, minsize):
 	onehour = timedelta(hours=1)
 	totaltime = e - s
@@ -101,7 +109,8 @@ def distribute(s, e, prod, minsize):
 
 #print('start')
 
-points = []
+prodpoints = []
+conspoints = []
 index = []
 
 def serializearrowasmili(obj):
@@ -117,7 +126,24 @@ for i in arrow.Arrow.range('day', startdate, enddate):
 
 	index.append((noon, whprod))
 	#print(repr(i), whprod)
-	dist = distribute(s, e, whprod, timedelta(seconds=20))
+
+	dist = []
+
+	conspoints.extend(makeconsumption(s, rand.uniform(400,800), 100, timedelta(minutes=1)))
+
+	# zero points for non-production
+	import sys
+	print(repr((i, s)), file=sys.stderr)
+	dist.extend(distribute(i, s, 0, timedelta(minutes=5)))
+
+	# production
+	print(repr((s, e)), file=sys.stderr)
+	dist.extend(distribute(s, e, whprod, timedelta(seconds=20)))
+
+	# zero points for non-production
+	eod = i.replace(hour=23, minute=55)
+	print(repr((e, eod)), file=sys.stderr)
+	dist.extend(distribute(e, eod, 0, timedelta(minutes=5)))
 
 	# print timestamps as miliseconds
 	if False:
@@ -128,6 +154,6 @@ for i in arrow.Arrow.range('day', startdate, enddate):
 		print('\n'.join('%s %s' % (a, b) for a, b in dist))
 	else:
 		#print(json.dumps(tuple(dist), indent=2))
-		points.extend(dist)
+		prodpoints.extend(dist)
 
-print('fakedata =', json.dumps(dict(production=points, index=index), default=serializearrowasmili))
+print('fakedata =', json.dumps(dict(production=prodpoints, consumption=conspoints, index=index), default=serializearrowasmili))