Kai/habitica
1
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity

Merge branch 'rebalancing-2014-12' of https://github.com/HabitRPG/habitrpg-shared into rebalancing-2014-12

Browse Source 
Conflicts:
	dist/habitrpg-shared.js
This commit is contained in:
Alice Harris
2014-12-20 08:48:21 +10:00
parent 486d8a9bbf 60d03dd17f
commit 95a6aa5586
2 changed files with 37 additions and 28 deletions
Download Patch File Download Diff File Expand all files Collapse all files
script/index.coffee
+14 -11
View File
@@ -1004,12 +1004,10 @@ api.wrap = (user, main=true) ->
nextDelta = if not options.cron and direction is 'down' then calculateReverseDelta() else calculateDelta()
unless task.type is 'reward'
if (user.preferences.automaticAllocation is true and user.preferences.allocationMode is 'taskbased' and !(task.type is 'todo' and direction is 'down')) then user.stats.training[task.attribute] += nextDelta
# ===== STRENGTH =====
# (Only for up-scoring, ignore up-onlies and rewards)
# Note, we create a new val (adjustAmt) to add to task.value, since delta will be used in Exp & GP calculations - we don't want STR to bonus that
if direction is 'up' and !(task.type is 'habit' and !task.down)
if direction is 'up' # Make progress on quest based on STR
user.party.quest.progress.up = user.party.quest.progress.up || 0;
user.party.quest.progress.up += (nextDelta * (1 + (user._statsComputed.str / 200))) if task.type in ['daily','todo']
user.party.quest.progress.up += (nextDelta * (0.5 + (user._statsComputed.str / 400))) if task.type is 'habit'
task.value += nextDelta
delta += nextDelta
@@ -1050,9 +1048,16 @@ api.wrap = (user, main=true) ->
hpMod = delta * conBonus * task.priority * 2 # constant 2 multiplier for better results
stats.hp += Math.round(hpMod * 10) / 10 # round to 1dp
gainMP = (delta) ->
delta *= user._tmp.crit or 1
user.stats.mp += delta
user.stats.mp = user._statsComputed.maxMP if user.stats.mp >= user._statsComputed.maxMP
user.stats.mp = 0 if user.stats.mp < 0
switch task.type
when 'habit'
changeTaskValue()
gainMP(_.max([0.25, (.0025 * user._statsComputed.maxMP)]) * if direction is 'down' then -1 else 1)
# Add habit value to habit-history (if different)
if (delta > 0) then addPoints() else subtractPoints()
@@ -1071,6 +1076,7 @@ api.wrap = (user, main=true) ->
task.streak = 0 unless user.stats.buffs.streaks
else
changeTaskValue()
gainMP(_.max([1, (.01 * user._statsComputed.maxMP)]) * if direction is 'down' then -1 else 1)
if direction is 'down'
delta = calculateDelta() # recalculate delta for unchecking so the gp and exp come out correctly
addPoints() # obviously for delta>0, but also a trick to undo accidental checkboxes
@@ -1097,12 +1103,7 @@ api.wrap = (user, main=true) ->
addPoints() # obviously for delta>0, but also a trick to undo accidental checkboxes
# MP++ per checklist item in ToDo, bonus per CLI
multiplier = _.max([(_.reduce(task.checklist,((m,i)->m+(if i.completed then 1 else 0)),1)),1])
mpDelta = _.max([(multiplier), (.01 * user._statsComputed.maxMP * multiplier)])
mpDelta *= user._tmp.crit or 1
mpDelta *= -1 if direction is 'down' # unticking a todo
user.stats.mp += mpDelta
user.stats.mp = user._statsComputed.maxMP if user.stats.mp >= user._statsComputed.maxMP
user.stats.mp = 0 if user.stats.mp < 0 # BUT DO WE WANT THIS? SEE COMMIT DESCRIPTION
gainMP(_.max([(multiplier), (.01 * user._statsComputed.maxMP * multiplier)]) * if direction is 'down' then -1 else 1)
when 'reward'
# Don't adjust values for rewards
@@ -1159,7 +1160,9 @@ api.wrap = (user, main=true) ->
crit: (stat='str', chance=.03) ->
#console.log("Crit Chance:"+chance*(1+user._statsComputed[stat]/100))
if user.fns.predictableRandom() <= chance*(1+user._statsComputed[stat]/100) then 1.5 + (.02*user._statsComputed[stat])
s = user._statsComputed[stat]
if user.fns.predictableRandom() <= chance*(1 + s/100)
1.5 + 4*s/(s + 200)
else 1
###