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aux auto bid and price heuristics

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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
This commit is contained in:
geojak
2022-02-20 23:51:19 +01:00
committed by GitHub
parent 9771521c78
commit 02cfc420dd
42 changed files with 8791 additions and 0 deletions
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aux-addon/core/disenchant.lua
+163
View File
@@ -0,0 +1,163 @@
module 'aux.core.disenchant'
local T = require 'T'
local history = require 'aux.core.history'
local UNCOMMON, RARE, EPIC = 2, 3, 4
local ARMOR = T.set(
'INVTYPE_HEAD',
'INVTYPE_NECK',
'INVTYPE_SHOULDER',
'INVTYPE_BODY',
'INVTYPE_CHEST',
'INVTYPE_ROBE',
'INVTYPE_WAIST',
'INVTYPE_LEGS',
'INVTYPE_FEET',
'INVTYPE_WRIST',
'INVTYPE_HAND',
'INVTYPE_FINGER',
'INVTYPE_TRINKET',
'INVTYPE_CLOAK',
'INVTYPE_HOLDABLE'
)
local WEAPON = T.set(
'INVTYPE_2HWEAPON',
'INVTYPE_WEAPONMAINHAND',
'INVTYPE_WEAPON',
'INVTYPE_WEAPONOFFHAND',
'INVTYPE_SHIELD',
'INVTYPE_RANGED',
'INVTYPE_RANGEDRIGHT'
)
function M.value(slot, quality, level)
local expectation
for _, event in distribution(slot, quality, level) do
local value = history.value(event.item_id .. ':' .. 0)
if not value then
return
else
expectation = (expectation or 0) + event.probability * (event.min_quantity + event.max_quantity) / 2 * value
end
end
return expectation
end
function M.distribution(slot, quality, level)
if not ARMOR[slot] and not WEAPON[slot] or level == 0 then
return T.acquire()
end
local function p(probability_armor, probability_weapon)
if ARMOR[slot] then
return probability_armor
elseif WEAPON[slot] then
return probability_weapon
end
end
if quality == UNCOMMON then
if level <= 10 then
return T.temp-T.list(
T.temp-T.map('item_id', 10940, 'min_quantity', 1, 'max_quantity', 2, 'probability', p(.8, .2)),
T.temp-T.map('item_id', 10938, 'min_quantity', 1, 'max_quantity', 2, 'probability', p(.2, .8))
)
elseif level <= 15 then
return T.temp-T.list(
T.temp-T.map('item_id', 10940, 'min_quantity', 2, 'max_quantity', 3, 'probability', p(.75, .2)),
T.temp-T.map('item_id', 10939, 'min_quantity', 1, 'max_quantity', 2, 'probability', p(.2, .75)),
T.temp-T.map('item_id', 10978, 'min_quantity', 1, 'max_quantity', 1, 'probability', .05)
)
elseif level <= 20 then
return T.temp-T.list(
T.temp-T.map('item_id', 10940, 'min_quantity', 4, 'max_quantity', 6, 'probability', p(.75, .15)),
T.temp-T.map('item_id', 10998, 'min_quantity', 1, 'max_quantity', 2, 'probability', p(.15, .75)),
T.temp-T.map('item_id', 10978, 'min_quantity', 1, 'max_quantity', 1, 'probability', .10)
)
elseif level <= 25 then
return T.temp-T.list(
T.temp-T.map('item_id', 11083, 'min_quantity', 1, 'max_quantity', 2, 'probability', p(.75, .2)),
T.temp-T.map('item_id', 11082, 'min_quantity', 1, 'max_quantity', 2, 'probability', p(.2, .75)),
T.temp-T.map('item_id', 11084, 'min_quantity', 1, 'max_quantity', 1, 'probability', .05)
)
elseif level <= 30 then
return T.temp-T.list(
T.temp-T.map('item_id', 11083, 'min_quantity', 2, 'max_quantity', 5, 'probability', p(.75, .2)),
T.temp-T.map('item_id', 11134, 'min_quantity', 1, 'max_quantity', 2, 'probability', p(.2, .75)),
T.temp-T.map('item_id', 11138, 'min_quantity', 1, 'max_quantity', 1, 'probability', .05)
)
elseif level <= 35 then
return T.temp-T.list(
T.temp-T.map('item_id', 11137, 'min_quantity', 1, 'max_quantity', 2, 'probability', p(.75, .2)),
T.temp-T.map('item_id', 11135, 'min_quantity', 1, 'max_quantity', 2, 'probability', p(.2, .75)),
T.temp-T.map('item_id', 11139, 'min_quantity', 1, 'max_quantity', 1, 'probability', .05)
)
elseif level <= 40 then
return T.temp-T.list(
T.temp-T.map('item_id', 11137, 'min_quantity', 2, 'max_quantity', 5, 'probability', p(.75, .2)),
T.temp-T.map('item_id', 11174, 'min_quantity', 1, 'max_quantity', 2, 'probability', p(.2, .75)),
T.temp-T.map('item_id', 11177, 'min_quantity', 1, 'max_quantity', 1, 'probability', .05)
)
elseif level <= 45 then
return T.temp-T.list(
T.temp-T.map('item_id', 11176, 'min_quantity', 1, 'max_quantity', 2, 'probability', p(.75, .2)),
T.temp-T.map('item_id', 11175, 'min_quantity', 1, 'max_quantity', 2, 'probability', p(.2, .75)),
T.temp-T.map('item_id', 11178, 'min_quantity', 1, 'max_quantity', 1, 'probability', .05)
)
elseif level <= 50 then
return T.temp-T.list(
T.temp-T.map('item_id', 11176, 'min_quantity', 2, 'max_quantity', 5, 'probability', p(.75, .22)),
T.temp-T.map('item_id', 16202, 'min_quantity', 1, 'max_quantity', 2, 'probability', p(.2, .75)),
T.temp-T.map('item_id', 14343, 'min_quantity', 1, 'max_quantity', 1, 'probability', p(.05, .03))
)
elseif level <= 55 then
return T.temp-T.list(
T.temp-T.map('item_id', 16204, 'min_quantity', 1, 'max_quantity', 2, 'probability', p(.75, .22)),
T.temp-T.map('item_id', 16203, 'min_quantity', 1, 'max_quantity', 2, 'probability', p(.2, .75)),
T.temp-T.map('item_id', 14344, 'min_quantity', 1, 'max_quantity', 1, 'probability', p(.05, .03))
)
elseif level <= 60 then
return T.temp-T.list(
T.temp-T.map('item_id', 16204, 'min_quantity', 2, 'max_quantity', 5, 'probability', p(.75, .22)),
T.temp-T.map('item_id', 16203, 'min_quantity', 2, 'max_quantity', 3, 'probability', p(.2, .75)),
T.temp-T.map('item_id', 14344, 'min_quantity', 1, 'max_quantity', 1, 'probability', p(.05, .03))
)
end
elseif quality == RARE then
if level <= 20 then
return T.temp-T.list(T.temp-T.map('item_id', 10978, 'min_quantity', 1, 'max_quantity', 1, 'probability', 1))
elseif level <= 25 then
return T.temp-T.list(T.temp-T.map('item_id', 11084, 'min_quantity', 1, 'max_quantity', 1, 'probability', 1))
elseif level <= 30 then
return T.temp-T.list(T.temp-T.map('item_id', 11138, 'min_quantity', 1, 'max_quantity', 1, 'probability', 1))
elseif level <= 35 then
return T.temp-T.list(T.temp-T.map('item_id', 11139, 'min_quantity', 1, 'max_quantity', 1, 'probability', 1))
elseif level <= 40 then
return T.temp-T.list(T.temp-T.map('item_id', 11177, 'min_quantity', 1, 'max_quantity', 1, 'probability', 1))
elseif level <= 45 then
return T.temp-T.list(T.temp-T.map('item_id', 11178, 'min_quantity', 1, 'max_quantity', 1, 'probability', 1))
elseif level <= 50 then
return T.temp-T.list(T.temp-T.map('item_id', 14343, 'min_quantity', 1, 'max_quantity', 1, 'probability', 1))
elseif level <= 55 then
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))
elseif level <= 60 then
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))
end
elseif quality == EPIC then
if level <= 40 then
return T.temp-T.list(T.temp-T.map('item_id', 11177, 'min_quantity', 2, 'max_quantity', 4, 'probability', 1))
elseif level <= 45 then
return T.temp-T.list(T.temp-T.map('item_id', 11178, 'min_quantity', 2, 'max_quantity', 4, 'probability', 1))
elseif level <= 50 then
return T.temp-T.list(T.temp-T.map('item_id', 14343, 'min_quantity', 2, 'max_quantity', 4, 'probability', 1))
elseif level <= 55 then
return T.temp-T.list(T.temp-T.map('item_id', 20725, 'min_quantity', 1, 'max_quantity', 1, 'probability', 1))
elseif level <= 60 then
return T.temp-T.list(T.temp-T.map('item_id', 20725, 'min_quantity', 1, 'max_quantity', 2, 'probability', 1))
end
end
return T.acquire()
end