1cc6b7658c
-add error catching in exchange rate manager -add free data on first request with default negotiation strategy
88 lines
3.1 KiB
Python
88 lines
3.1 KiB
Python
import logging
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from lbrynet.core.Offer import Offer
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from lbrynet.core.PriceModel import MeanAvailabilityWeightedPrice
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log = logging.getLogger(__name__)
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def get_default_strategy(blob_tracker, **kwargs):
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return BasicAvailabilityWeightedStrategy(blob_tracker, **kwargs)
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class BasicAvailabilityWeightedStrategy(object):
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"""
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Basic strategy to target blob prices based on supply relative to mean supply
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Discount price target with each incoming request, and raise it with each outgoing from the modeled price
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until the rate is accepted or a threshold is reached
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"""
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def __init__(self, blob_tracker, acceleration=1.25, deceleration=0.9, max_rate=0.005, min_rate=0.0):
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self._acceleration = acceleration # rate of how quickly to ramp offer
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self._deceleration = deceleration
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self._min_rate = min_rate
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self._max_rate = max_rate
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self._count_up = {}
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self._count_down = {}
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self._requested = {}
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self._offers_to_peers = {}
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self.model = MeanAvailabilityWeightedPrice(blob_tracker)
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def respond_to_offer(self, offer, peer, blobs):
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request_count = self._count_up.get(peer, 0)
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rates = [self._calculate_price(blob) for blob in blobs]
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rate = sum(rates) / max(len(rates), 1)
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discounted = self._discount(rate, request_count)
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price = self._bounded_price(discounted)
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log.info("Price target: %f, final: %f", discounted, price)
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self._inc_up_count(peer)
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if offer.rate == 0.0 and request_count == 0:
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# give blobs away for free by default on the first request
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offer.accept()
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return offer
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elif offer.rate >= price:
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log.info("Accept: %f", offer.rate)
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offer.accept()
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return offer
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else:
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log.info("Reject: %f", offer.rate)
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offer.reject()
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return offer
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def make_offer(self, peer, blobs):
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# use mean turn-discounted price for all the blobs requested
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request_count = self._count_down.get(peer, 0)
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self._inc_down_count(peer)
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if request_count == 0:
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# Try asking for it for free
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offer = Offer(0.0)
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else:
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rates = [self._calculate_price(blob) for blob in blobs]
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mean_rate = sum(rates) / max(len(blobs), 1)
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with_premium = self._premium(mean_rate, request_count)
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price = self._bounded_price(with_premium)
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offer = Offer(price)
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return offer
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def _bounded_price(self, price):
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price_for_return = min(self._max_rate, max(price, self._min_rate))
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return price_for_return
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def _inc_up_count(self, peer):
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turn = self._count_up.get(peer, 0) + 1
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self._count_up.update({peer: turn})
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def _inc_down_count(self, peer):
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turn = self._count_down.get(peer, 0) + 1
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self._count_down.update({peer: turn})
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def _calculate_price(self, blob):
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return self.model.calculate_price(blob)
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def _premium(self, rate, turn):
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return rate * (self._acceleration ** turn)
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def _discount(self, rate, turn):
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return rate * (self._deceleration ** turn) |