geojak
02cfc420dd
this commit does two things 1. it implements auto bid just like auto buy 2. it has some minimum pricing heuristics when posting items. this behavoiur actiaves when the post bid price is set to 0, the buyout price behaves like a minimum
163 lines
8.0 KiB
Lua
163 lines
8.0 KiB
Lua
module 'aux.core.disenchant'
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local T = require 'T'
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local history = require 'aux.core.history'
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local UNCOMMON, RARE, EPIC = 2, 3, 4
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local ARMOR = T.set(
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'INVTYPE_HEAD',
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'INVTYPE_NECK',
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'INVTYPE_SHOULDER',
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'INVTYPE_BODY',
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'INVTYPE_CHEST',
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'INVTYPE_ROBE',
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'INVTYPE_WAIST',
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'INVTYPE_LEGS',
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'INVTYPE_FEET',
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'INVTYPE_WRIST',
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'INVTYPE_HAND',
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'INVTYPE_FINGER',
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'INVTYPE_TRINKET',
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'INVTYPE_CLOAK',
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'INVTYPE_HOLDABLE'
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)
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local WEAPON = T.set(
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'INVTYPE_2HWEAPON',
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'INVTYPE_WEAPONMAINHAND',
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'INVTYPE_WEAPON',
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'INVTYPE_WEAPONOFFHAND',
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'INVTYPE_SHIELD',
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'INVTYPE_RANGED',
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'INVTYPE_RANGEDRIGHT'
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)
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function M.value(slot, quality, level)
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local expectation
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for _, event in distribution(slot, quality, level) do
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local value = history.value(event.item_id .. ':' .. 0)
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if not value then
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return
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else
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expectation = (expectation or 0) + event.probability * (event.min_quantity + event.max_quantity) / 2 * value
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end
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end
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return expectation
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end
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function M.distribution(slot, quality, level)
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if not ARMOR[slot] and not WEAPON[slot] or level == 0 then
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return T.acquire()
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end
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local function p(probability_armor, probability_weapon)
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if ARMOR[slot] then
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return probability_armor
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elseif WEAPON[slot] then
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return probability_weapon
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end
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end
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if quality == UNCOMMON then
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if level <= 10 then
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return T.temp-T.list(
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T.temp-T.map('item_id', 10940, 'min_quantity', 1, 'max_quantity', 2, 'probability', p(.8, .2)),
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T.temp-T.map('item_id', 10938, 'min_quantity', 1, 'max_quantity', 2, 'probability', p(.2, .8))
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)
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elseif level <= 15 then
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return T.temp-T.list(
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T.temp-T.map('item_id', 10940, 'min_quantity', 2, 'max_quantity', 3, 'probability', p(.75, .2)),
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T.temp-T.map('item_id', 10939, 'min_quantity', 1, 'max_quantity', 2, 'probability', p(.2, .75)),
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T.temp-T.map('item_id', 10978, 'min_quantity', 1, 'max_quantity', 1, 'probability', .05)
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)
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elseif level <= 20 then
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return T.temp-T.list(
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T.temp-T.map('item_id', 10940, 'min_quantity', 4, 'max_quantity', 6, 'probability', p(.75, .15)),
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T.temp-T.map('item_id', 10998, 'min_quantity', 1, 'max_quantity', 2, 'probability', p(.15, .75)),
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T.temp-T.map('item_id', 10978, 'min_quantity', 1, 'max_quantity', 1, 'probability', .10)
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)
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elseif level <= 25 then
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return T.temp-T.list(
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T.temp-T.map('item_id', 11083, 'min_quantity', 1, 'max_quantity', 2, 'probability', p(.75, .2)),
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T.temp-T.map('item_id', 11082, 'min_quantity', 1, 'max_quantity', 2, 'probability', p(.2, .75)),
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T.temp-T.map('item_id', 11084, 'min_quantity', 1, 'max_quantity', 1, 'probability', .05)
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)
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elseif level <= 30 then
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return T.temp-T.list(
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T.temp-T.map('item_id', 11083, 'min_quantity', 2, 'max_quantity', 5, 'probability', p(.75, .2)),
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T.temp-T.map('item_id', 11134, 'min_quantity', 1, 'max_quantity', 2, 'probability', p(.2, .75)),
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T.temp-T.map('item_id', 11138, 'min_quantity', 1, 'max_quantity', 1, 'probability', .05)
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)
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elseif level <= 35 then
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return T.temp-T.list(
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T.temp-T.map('item_id', 11137, 'min_quantity', 1, 'max_quantity', 2, 'probability', p(.75, .2)),
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T.temp-T.map('item_id', 11135, 'min_quantity', 1, 'max_quantity', 2, 'probability', p(.2, .75)),
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T.temp-T.map('item_id', 11139, 'min_quantity', 1, 'max_quantity', 1, 'probability', .05)
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)
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elseif level <= 40 then
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return T.temp-T.list(
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T.temp-T.map('item_id', 11137, 'min_quantity', 2, 'max_quantity', 5, 'probability', p(.75, .2)),
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T.temp-T.map('item_id', 11174, 'min_quantity', 1, 'max_quantity', 2, 'probability', p(.2, .75)),
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T.temp-T.map('item_id', 11177, 'min_quantity', 1, 'max_quantity', 1, 'probability', .05)
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)
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elseif level <= 45 then
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return T.temp-T.list(
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T.temp-T.map('item_id', 11176, 'min_quantity', 1, 'max_quantity', 2, 'probability', p(.75, .2)),
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T.temp-T.map('item_id', 11175, 'min_quantity', 1, 'max_quantity', 2, 'probability', p(.2, .75)),
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T.temp-T.map('item_id', 11178, 'min_quantity', 1, 'max_quantity', 1, 'probability', .05)
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)
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elseif level <= 50 then
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return T.temp-T.list(
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T.temp-T.map('item_id', 11176, 'min_quantity', 2, 'max_quantity', 5, 'probability', p(.75, .22)),
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T.temp-T.map('item_id', 16202, 'min_quantity', 1, 'max_quantity', 2, 'probability', p(.2, .75)),
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T.temp-T.map('item_id', 14343, 'min_quantity', 1, 'max_quantity', 1, 'probability', p(.05, .03))
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)
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elseif level <= 55 then
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return T.temp-T.list(
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T.temp-T.map('item_id', 16204, 'min_quantity', 1, 'max_quantity', 2, 'probability', p(.75, .22)),
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T.temp-T.map('item_id', 16203, 'min_quantity', 1, 'max_quantity', 2, 'probability', p(.2, .75)),
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T.temp-T.map('item_id', 14344, 'min_quantity', 1, 'max_quantity', 1, 'probability', p(.05, .03))
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)
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elseif level <= 60 then
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return T.temp-T.list(
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T.temp-T.map('item_id', 16204, 'min_quantity', 2, 'max_quantity', 5, 'probability', p(.75, .22)),
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T.temp-T.map('item_id', 16203, 'min_quantity', 2, 'max_quantity', 3, 'probability', p(.2, .75)),
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T.temp-T.map('item_id', 14344, 'min_quantity', 1, 'max_quantity', 1, 'probability', p(.05, .03))
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)
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end
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elseif quality == RARE then
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if level <= 20 then
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return T.temp-T.list(T.temp-T.map('item_id', 10978, 'min_quantity', 1, 'max_quantity', 1, 'probability', 1))
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elseif level <= 25 then
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return T.temp-T.list(T.temp-T.map('item_id', 11084, 'min_quantity', 1, 'max_quantity', 1, 'probability', 1))
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elseif level <= 30 then
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return T.temp-T.list(T.temp-T.map('item_id', 11138, 'min_quantity', 1, 'max_quantity', 1, 'probability', 1))
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elseif level <= 35 then
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return T.temp-T.list(T.temp-T.map('item_id', 11139, 'min_quantity', 1, 'max_quantity', 1, 'probability', 1))
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elseif level <= 40 then
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return T.temp-T.list(T.temp-T.map('item_id', 11177, 'min_quantity', 1, 'max_quantity', 1, 'probability', 1))
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elseif level <= 45 then
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return T.temp-T.list(T.temp-T.map('item_id', 11178, 'min_quantity', 1, 'max_quantity', 1, 'probability', 1))
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elseif level <= 50 then
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return T.temp-T.list(T.temp-T.map('item_id', 14343, 'min_quantity', 1, 'max_quantity', 1, 'probability', 1))
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elseif level <= 55 then
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return T.temp-T.list(T.temp-T.map('item_id', 14344, 'min_quantity', 1, 'max_quantity', 1, 'probability', .995), T.temp-T.map('item_id', 20725, 'min_quantity', 1, 'max_quantity', 1, 'probability', .005))
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elseif level <= 60 then
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return T.temp-T.list(T.temp-T.map('item_id', 14344, 'min_quantity', 1, 'max_quantity', 1, 'probability', .995), T.temp-T.map('item_id', 20725, 'min_quantity', 1, 'max_quantity', 1, 'probability', .005))
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end
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elseif quality == EPIC then
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if level <= 40 then
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return T.temp-T.list(T.temp-T.map('item_id', 11177, 'min_quantity', 2, 'max_quantity', 4, 'probability', 1))
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elseif level <= 45 then
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return T.temp-T.list(T.temp-T.map('item_id', 11178, 'min_quantity', 2, 'max_quantity', 4, 'probability', 1))
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elseif level <= 50 then
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return T.temp-T.list(T.temp-T.map('item_id', 14343, 'min_quantity', 2, 'max_quantity', 4, 'probability', 1))
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elseif level <= 55 then
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return T.temp-T.list(T.temp-T.map('item_id', 20725, 'min_quantity', 1, 'max_quantity', 1, 'probability', 1))
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elseif level <= 60 then
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return T.temp-T.list(T.temp-T.map('item_id', 20725, 'min_quantity', 1, 'max_quantity', 2, 'probability', 1))
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end
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end
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return T.acquire()
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end |