Files
aux-addon-ClassicAPI/scan_frame.lua
T
2015-10-27 02:11:02 +01:00

278 lines
7.2 KiB
Lua

local MAX_HISTORY_SIZE = 100
local MIN_SEEN = 1
local UNDERCUT_FACTOR = 0.2
Aux.history = {}
local process_auction, balanced_list, update_snapshot
local get_market_price, get_usable_median, get_historical_median, get_median, get_percentile
local signature_cache
function Aux.history.on_close()
end
function Aux.history.on_open()
end
function Aux.history.start_scan()
if not AuxHistoryScanButton:IsVisible() then
return
end
AuxHistoryScanButton:Hide()
AuxHistoryStopButton:Show()
signature_cache = Aux.util.set()
Aux.log('Scanning auctions ...')
Aux.scan.start{
query = {},
page = 0,
on_page_loaded = function(page, total_pages)
Aux.log('Scanning page '..(page+1)..' out of '..total_pages..' ...')
end,
on_read_auction = function(i)
process_auction(i)
end,
on_complete = function()
update_snapshot()
AuxHistoryStopButton:Hide()
AuxHistoryScanButton:Show()
end,
on_abort = function()
update_snapshot()
AuxHistoryStopButton:Hide()
AuxHistoryScanButton:Show()
end,
next_page = function(page, total_pages)
if AuxBuyAllPagesCheckButton:GetChecked() then
local last_page = max(total_pages - 1, 0)
if page < last_page then
return page + 1
end
end
end,
}
end
function update_snapshot()
local snapshot = Aux.persistence.get_snapshot()
snapshot.remove_all(signature_cache.values())
Aux.persistence.save_snapshot(snapshot)
end
function Aux.history.stop_scan()
Aux.scan.abort()
end
function process_auction(index)
local auction_info = Aux.info.auction_item(index)
local buyout_price = Aux.util.safe_index{auction_info, 'buyout_price'}
if buyout_price and buyout_price > 0 then
local aux_quantity = auction_info.charges or auction_info.count
local price = ceil(buyout_price / aux_quantity)
local item_key = auction_info.item_signature
local signature = Aux.info.auction_signature(index)
signature_cache.add(signature)
local snapshot = Aux.persistence.get_snapshot()
if not snapshot.contains(signature) then
snapshot.add(signature)
Aux.persistence.save_snapshot(snapshot)
--
-- local item_record = Aux.persistence.get_item_record(item_key)
--
-- item_record = item_record or {
-- count = 0,
-- accumulated_price = 0,
-- price_list = {},
-- }
--
-- local price_list = balanced_list(MAX_HISTORY_SIZE)
-- price_list.add_all(item_record.price_list)
-- price_list.add(price)
--
-- Aux.persistence.save_item_record(item_key, {
-- count = item_record.count + 1,
-- accumulated_price = item_record.accumulated_price + price,
-- price_list = price_list.values(),
-- })
--
end
end
end
function Aux.history.get_market_price(key)
local price
local median = get_usable_median(key)
-- local avgMin, avgBuy, avgBid, bidPct, buyPct, avgQty, meanCount = getMeans(key, realm)
-- assign the best common buyout
if median and median > 0 then
price = median
-- elseif meanCount and meanCount > 0 then
-- -- if a usable median does not exist, use the average buyout instead
-- price = avgBuy;
end
return price
end
function get_usable_median(item_key)
local historical_median, historical_count = get_historical_median(item_key)
if historical_count >= MIN_SEEN then
return historical_median, historical_count
end
end
function get_historical_median(item_key)
local price_list = Aux.util.safe_index{Aux.persistence.get_item_record(item_key), 'price_list'}
return get_median(price_list or {})
end
function get_median(values)
return get_percentile(values, 0.5)
end
-- Return weighted average percentile such that returned value
-- is larger than or equal to (100*pct)% of the table values
-- 0 <= pct <= 1
function get_percentile(values, pct)
local _percentile = function(sorted_values, pct, first, last)
local f = (last - first) * pct + first
local i1, i2 = floor(f), ceil(f)
f = f - i1
return sorted_values[i1] * (1 - f) + sorted_values[i2] * f
end
local n = getn(values)
if n == 0 then
return 0, 0 -- if there is an empty table, returns median = 0, count = 0
elseif n == 1 then
return tonumber(values[1]), 1
end
-- The following calculations require a sorted table
table.sort(values)
-- Skip IQR calculations if table is too small to have outliers
if n <= 4 then
return _percentile(values, pct, 1, n), n
end
-- REWORK by Karavirs to use IQR*1.5 to ignore outliers
-- q1 is median 1st quartile q2 is median of set q3 is median of 3rd quartile iqr is q3 - q1
local q1 = _percentile(values, 0.25, 1, n)
local q3 = _percentile(values, 0.75, 1, n)
local iqr = (q3 - q1) * 1.5
local iqlow, iqhigh = q1 - iqr, q3 + iqr
-- Find first and last index to include in median calculation
local first, last = 1, n
-- Skip low outliers
while values[first] < iqlow do
first = first + 1
end
-- Skip high outliers
while values[last] > iqhigh do
last = last - 1
end
return _percentile(values, pct, first, last), last - first + 1
end
function balanced_list(max_size, cmp)
local self = {}
local values = {}
cmp = cmp or Aux.util.compare
function self.add(value)
local left = 1
local right = getn(values)
local middle_value
local middle
local destination
while left <= right do
middle = floor((right - left) / 2) + left
middle_value = values[middle]
if cmp(value, middle_value) == Aux.util.LT then
right = middle - 1
elseif cmp(value, middle_value) == Aux.util.GT then
left = middle + 1
else
destination = middle
break
end
end
destination = destination or left
tinsert(values, destination, value)
if max_size and getn(values) > max_size then
if destination <= floor(max_size / 2) + 1 then
tremove(values)
else
tremove(values, 1)
end
end
end
function self.add_all(array)
self.clear()
for _, value in ipairs(array) do
self.add(value)
end
end
function self.clear()
values = {}
end
function self.values()
local result = {}
for _, value in ipairs(values) do
tinsert(result, value)
end
return result
end
function self.size()
return getn(values)
end
function self.get(index)
return values[index]
end
function self.max_size()
return max_size
end
return self
end
function Aux.history.get_price_suggestion(key, quantity)
local market_price = Aux.history.get_market_price(key)
return market_price and market_price * quantity * UNDERCUT_FACTOR or 0
end