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import numpy as np
import logging
from volttron.platform.agent.base_market_agent.point import Point
from volttron.platform.agent.base_market_agent.poly_line import PolyLine
from volttron.platform.agent import utils
_log = logging.getLogger(__name__)
utils.setup_logging()
[docs]class PolyLineFactory(object):
[docs] @staticmethod
def combine(lines, increment):
# we return a new PolyLine which is a composite (summed horizontally) of inputs
composite = PolyLine()
# find the range defined by the curves
minY = None
maxY = None
for l in lines:
minY = PolyLine.min(minY, l.min_y())
maxY = PolyLine.max(maxY, l.max_y())
# special case if the lines are already horizontal or None
if minY == maxY:
minSumX = None
maxSumX = None
for line in lines:
minX = None
maxX = None
for point in line.points:
minX = PolyLine.min(minX, point.x)
maxX = PolyLine.max(maxX, point.x)
minSumX = PolyLine.sum(minSumX, minX)
maxSumX = PolyLine.sum(maxSumX, maxX)
composite.add(Point(minSumX, minY))
if minX != maxX:
composite.add(Point(maxSumX, maxY))
return composite
# create an array of ys in equal increments, with highest first
# this is assuming that price decreases with increase in demand (buyers!)
# but seems to work with multiple suppliers?
ys = sorted(np.linspace(minY, maxY, num=increment), reverse=True)
# now find the cumulative x associated with each y in the array
# starting with the highest y
for y in ys:
xt = None
for line in lines:
x = line.x(y, left=np.nan)
if x is not None:
xt = x if xt is None else xt + x
composite.add(Point(xt, y))
return composite
[docs] @staticmethod
def fromTupples(points):
polyLine = PolyLine()
for p in points:
if p is not None and len(p) == 2:
polyLine.add(Point(p[0], p[1]))
return polyLine