Break out autoAllocate to its own function
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+33
-29
@@ -941,6 +941,37 @@ api.wrap = (user) ->
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{stats} new stats
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{update} if aggregated changes, pass in userObj as update. otherwise commits will be made immediately
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###
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autoAllocate: ->
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switch user.preferences.allocationMode
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when "flat"
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suggested = Math.min(user.stats.str, user.stats.int, user.stats.con, user.stats.per)
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if user.stats.int is suggested # In case of ties, favor INT first, to get the next point sooner
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return "int"
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else if user.stats.per is suggested # Then favor PER, it's a god stat
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return "per"
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else if user.stats.str is suggested # Then favor STR, everyone loves crits
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return "per"
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else
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return "con" # CON, the unsexiest of attributes
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when "classbased"
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# Attributes get 3:2:1:1 per 7 levels.
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ideal = [(user.stats.lvl / 7 * 3), (user.stats.lvl / 7 * 2), (user.stats.lvl / 7), (user.stats.lvl / 7)]
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# Primary, secondary etc. attributes aren't explicitly defined, so hardcode them. In order as above
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switch user.stats.class
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when "wizard" then preference = ["int", "per", "con", "str"]
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when "rogue" then preference = ["per", "str", "int", "con"]
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when "healer" then preference = ["con", "int", "str", "per"]
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else preference = ["str", "con", "per", "int"]
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# Get the difference between the ideal attribute spread according to level, and the user's current spread.
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diff = [(user.stats[preference[0]]-ideal[0]),(user.stats[preference[1]]-ideal[1]),(user.stats[preference[2]]-ideal[2]),(user.stats[preference[3]]-ideal[3])]
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suggested = _.findIndex(diff, ((val) -> if val is _.min(diff) then true)) # Returns the index of the first attribute that's furthest behind the ideal
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if suggested is -1 then return "str" else return preference[suggested] # If _findIndex failed, we'd get a -1...
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when "taskbased" # old logic, temp
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tallies = _.reduce user.tasks, ((m,v)-> m[v.attribute or 'str'] += v.value;m), {str:0,int:0,con:0,per:0}
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suggested = _.reduce tallies, ((m,v,k)-> if v>tallies[m] then k else m), 'str'
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return suggested
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else return "str" # if all else fails, dump into STR
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updateStats: (stats) ->
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# Game Over
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return user.stats.hp=0 if stats.hp <= 0
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@@ -966,35 +997,8 @@ api.wrap = (user) ->
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# Auto-allocate a point, or give them a new manual point
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if user.preferences.automaticAllocation
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switch user.preferences.allocationMode
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when "flat"
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suggested = Math.min(user.stats.str, user.stats.int, user.stats.con, user.stats.per)
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if user.stats.int is suggested # In case of ties, favor INT first, to get the next point sooner
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user.stats.int++
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else if user.stats.per is suggested # Then favor PER, it's a god stat
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user.stats.per++
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else if user.stats.str is suggested # Then favor STR, everyone loves crits
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user.stats.str++
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else
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user.stats.con++ # CON, the unsexiest of attributes
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when "classbased"
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# Attributes get 3:2:1:1 per 7 levels.
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ideal = [(user.stats.lvl / 7 * 3), (user.stats.lvl / 7 * 2), (user.stats.lvl / 7), (user.stats.lvl / 7)]
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# Primary, secondary etc. attributes aren't explicitly defined, so hardcode them. In order per above
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switch user.stats.class
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when "wizard" then preference = ["int", "per", "con", "str"]
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when "rogue" then preference = ["per", "str", "int", "con"]
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when "healer" then preference = ["con", "int", "str", "per"]
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else preference = ["str", "con", "per", "int"]
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# Get the difference between the ideal attribute spread according to level, and the user's current spread.
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diff = [(user.stats[preference[0]]-ideal[0]),(user.stats[preference[1]]-ideal[1]),(user.stats[preference[2]]-ideal[2]),(user.stats[preference[3]]-ideal[3])]
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suggested = _.findIndex(diff, ((val) -> if val is _.min(diff) then true)) # Returns the index of the first attribute that's furthest behind the ideal
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if suggested is -1 then user.stats.str++ else user.stats[preference[suggested]]++ # If _findIndex failed, we'd get a -1...
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when "taskbased" # old logic, temp
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tallies = _.reduce user.tasks, ((m,v)-> m[v.attribute or 'str'] += v.value;m), {str:0,int:0,con:0,per:0}
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suggested = _.reduce tallies, ((m,v,k)-> if v>tallies[m] then k else m), 'str'
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user.stats[suggested]++
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else user.stats.str++ # if all else fails, dump into STR
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suggested = user.fns.autoAllocate()
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user.stats[suggested]++
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else
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# add new allocatable points. We could do user.stats.points++, but this does a fail-safe just in case
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user.stats.points = user.stats.lvl - (user.stats.con + user.stats.str + user.stats.per + user.stats.int);
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