109 lines
3.3 KiB
Python
109 lines
3.3 KiB
Python
import sys
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from orchestra.utils.python import AttributeDict
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def _compute(rates, metric):
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value = 0
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num = len(rates)
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accumulated = 0
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end = False
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ix = 0
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steps = []
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while ix < num and not end:
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if ix+1 == num:
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quantity = metric - accumulated
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else:
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quantity = rates[ix+1].quantity - rates[ix].quantity
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if accumulated+quantity > metric:
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quantity = metric - accumulated
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end = True
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price = rates[ix].price
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steps.append(AttributeDict(**{
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'quantity': quantity,
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'price': price,
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'barrier': accumulated+1,
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}))
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accumulated += quantity
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value += quantity*price
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ix += 1
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return value, steps
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def step_price(rates, metric):
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# Step price
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group = []
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minimal = (sys.maxint, [])
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for plan, rates in rates.group_by('plan'):
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value, steps = _compute(rates, metric)
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if plan.is_combinable:
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group.append(steps)
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else:
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minimal = min(minimal, (value, steps), key=lambda v: v[0])
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if len(group) == 1:
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value, steps = _compute(rates, metric)
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minimal = min(minimal, (value, steps), key=lambda v: v[0])
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elif len(group) > 1:
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# Merge
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steps = []
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for rates in group:
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steps += rates
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steps.sort(key=lambda s: s.price)
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result = []
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counter = 0
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value = 0
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ix = 0
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targets = []
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while counter < metric:
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barrier = steps[ix].barrier
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if barrier <= counter+1:
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price = steps[ix].price
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quantity = steps[ix].quantity
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if quantity + counter > metric:
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quantity = metric - counter
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else:
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for target in targets:
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if counter + quantity >= target:
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quantity = (counter+quantity+1) - target
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steps[ix].quantity -= quantity
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if not steps[ix].quantity:
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steps.pop(ix)
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break
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else:
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steps.pop(ix)
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counter += quantity
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value += quantity*price
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if result and result[-1].price == price:
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result[-1].quantity += quantity
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else:
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result.append(AttributeDict(quantity=quantity, price=price))
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ix = 0
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targets = []
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else:
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targets.append(barrier)
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ix += 1
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minimal = min(minimal, (value, result), key=lambda v: v[0])
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return minimal[1]
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def match_price(rates, metric):
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candidates = []
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selected = False
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prev = None
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for rate in rates:
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if prev and prev.plan != rate.plan:
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if not selected and prev.quantity <= metric:
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candidates.append(prev)
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selected = False
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if not selected and rate.quantity > metric:
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candidates.append(prev)
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selected = True
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prev = rate
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if not selected and prev.quantity <= metric:
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candidates.append(prev)
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candidates.sort(key=lambda r: r.price)
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return [AttributeDict(**{
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'quantity': metric,
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'price': candidates[0].price,
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})]
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