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building: Replace pickle with jsons/structs

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Little Cat 2021-07-22 01:42:56 -03:00
parent 622653d25e
commit 5f793922c7
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GPG key ID: 68CC2B4D0E5AF41C
5 changed files with 51 additions and 54 deletions
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8
etc/toon.dc
View file

@ -1603,9 +1603,15 @@ dclass DistributedBuilding : DistributedObject {
dclass DistributedAnimBuilding : DistributedBuilding {
};
struct savedBy {
uint32 avId;
string name;
blob dna;
}
dclass DistributedToonInterior : DistributedObject {
setZoneIdAndBlock(uint32, uint16) required broadcast ram;
setToonData(blob) required broadcast ram;
setSavedBy(savedBy[]) required broadcast ram;
setState(string, int16) required broadcast ram;
};

20
toontown/building/DistributedBuildingAI.py
View file

@ -56,7 +56,7 @@ class DistributedBuildingAI(DistributedObjectAI.DistributedObjectAI):
self.track = 'c'
self.difficulty = 1
self.numFloors = 0
self.savedBy = None
self.savedBy = []
self.becameSuitTime = 0
self.frontDoorPoint = None
self.suitPlannerExt = None
@ -89,9 +89,17 @@ class DistributedBuildingAI(DistributedObjectAI.DistributedObjectAI):
DistributedObjectAI.DistributedObjectAI.delete(self)
del self.fsm
def getPickleData(self):
pickleData = {'state': str(self.fsm.getCurrentState().getName()), 'block': str(self.block), 'track': str(self.track), 'difficulty': str(self.difficulty), 'numFloors': str(self.numFloors), 'savedBy': self.savedBy, 'becameSuitTime': self.becameSuitTime}
return pickleData
def getBuildingData(self):
buildingData = {
'state': str(self.fsm.getCurrentState().getName()),
'block': str(self.block),
'track': str(self.track),
'difficulty': str(self.difficulty),
'numFloors': str(self.numFloors),
'savedBy': self.savedBy,
'becameSuitTime': self.becameSuitTime
}
return buildingData
def _getMinMaxFloors(self, difficulty):
return SuitBuildingGlobals.SuitBuildingInfo[difficulty][0]
@ -99,7 +107,7 @@ class DistributedBuildingAI(DistributedObjectAI.DistributedObjectAI):
def suitTakeOver(self, suitTrack, difficulty, buildingHeight):
if not self.isToonBlock():
return
self.updateSavedBy(None)
self.updateSavedBy([])
difficulty = min(difficulty, len(SuitBuildingGlobals.SuitBuildingInfo) - 1)
minFloors, maxFloors = self._getMinMaxFloors(difficulty)
if buildingHeight == None:
@ -118,7 +126,7 @@ class DistributedBuildingAI(DistributedObjectAI.DistributedObjectAI):
def cogdoTakeOver(self, suitTrack, difficulty, buildingHeight):
if not self.isToonBlock():
return
self.updateSavedBy(None)
self.updateSavedBy([])
numFloors = self.FieldOfficeNumFloors
self.track = suitTrack
self.difficulty = difficulty

47
toontown/building/DistributedBuildingMgrAI.py
View file

@ -1,6 +1,6 @@
import os
from direct.task.Task import Task
import pickle
import json
from otp.ai.AIBaseGlobal import *
from . import DistributedBuildingAI, HQBuildingAI, GagshopBuildingAI, PetshopBuildingAI
from toontown.building.KartShopBuildingAI import KartShopBuildingAI
@ -231,35 +231,18 @@ class DistributedBuildingMgrAI:
return building
def getFileName(self):
f = '%s%s_%d.buildings' % (self.serverDatafolder, self.shard, self.branchID)
f = '%s%s_%d_buildings.json' % (self.serverDatafolder, self.shard, self.branchID)
return f
def saveTo(self, file, block=None):
if block:
pickleData = block.getPickleData()
pickle.dump(pickleData, file)
else:
def saveTo(self, file):
buildings = {}
for i in list(self.__buildings.values()):
if isinstance(i, HQBuildingAI.HQBuildingAI):
continue
pickleData = i.getPickleData()
pickle.dump(pickleData, file)
buildingData = i.getBuildingData()
buildings[buildingData['block']] = buildingData
def fastSave(self, block):
return
try:
fileName = self.getFileName() + '.delta'
working = fileName + '.temp'
if os.path.exists(working):
os.remove(working)
os.rename(fileName, working)
file = open(working, 'wb')
file.seek(0, 2)
self.saveTo(file, block)
file.close()
os.rename(working, fileName)
except IOError:
self.notify.error(str(sys.exc_info()[1]))
json.dump(buildings, file, indent=2)
def save(self):
try:
@ -267,7 +250,7 @@ class DistributedBuildingMgrAI:
backup = fileName + self.backupExtension
if os.path.exists(fileName):
os.rename(fileName, backup)
file = open(fileName, 'wb')
file = open(fileName, 'w')
file.seek(0)
self.saveTo(file)
file.close()
@ -278,25 +261,21 @@ class DistributedBuildingMgrAI:
def loadFrom(self, file):
blocks = {}
try:
while 1:
pickleData = pickle.load(file)
blocks[int(pickleData['block'])] = pickleData
except EOFError:
pass
buildingData = json.load(file)
for block in buildingData:
blocks[int(block)] = buildingData[block]
return blocks
def load(self):
fileName = self.getFileName()
try:
file = open(fileName + self.backupExtension, 'rb')
file = open(fileName + self.backupExtension, 'r')
if os.path.exists(fileName):
os.remove(fileName)
except IOError:
try:
file = open(fileName, 'rb')
file = open(fileName, 'r')
except IOError:
return {}

14
toontown/building/DistributedToonInterior.py
View file

@ -137,28 +137,26 @@ class DistributedToonInterior(DistributedObject.DistributedObject):
self.zoneId = zoneId
self.block = block
def setToonData(self, toonData):
savedBy = pickle.loads(toonData)
def setSavedBy(self, savedBy):
self.savedBy = savedBy
def buildTrophy(self):
if self.savedBy == None:
if not self.savedBy:
return
numToons = len(self.savedBy)
pos = 1.25 - 1.25 * numToons
trophy = hidden.attachNewNode('trophy')
for avId, name, dnaTuple, isGM in self.savedBy:
frame = self.buildFrame(name, dnaTuple)
for avId, name, dnaString in self.savedBy:
frame = self.buildFrame(name, dnaString)
frame.reparentTo(trophy)
frame.setPos(pos, 0, 0)
pos += 2.5
return trophy
def buildFrame(self, name, dnaTuple):
def buildFrame(self, name, dnaString):
frame = loader.loadModel('phase_3.5/models/modules/trophy_frame')
dna = ToonDNA.ToonDNA()
dna.newToonFromProperties(*dnaTuple)
dna = ToonDNA.ToonDNA(dnaString)
head = ToonHead.ToonHead()
head.setupHead(dna)
head.setPosHprScale(0, -0.05, -0.05, 180, 0, 0, 0.55, 0.02, 0.55)

10
toontown/building/DistributedToonInteriorAI.py
View file

@ -7,6 +7,7 @@ from direct.fsm import ClassicFSM, State
from direct.distributed import DistributedObjectAI
from direct.fsm import State
from toontown.toon import NPCToons
from toontown.toon.ToonDNA import ToonDNA
class DistributedToonInteriorAI(DistributedObjectAI.DistributedObjectAI):
@ -38,8 +39,13 @@ class DistributedToonInteriorAI(DistributedObjectAI.DistributedObjectAI):
self.zoneId, self.block]
return r
def getToonData(self):
return pickle.dumps(self.building.savedBy, 1)
def getSavedBy(self):
savedBy = []
for avId, name, dnaTuple in self.building.savedBy:
dna = ToonDNA()
dna.newToonFromProperties(*dnaTuple)
savedBy.append([avId, name, dna.makeNetString()])
return savedBy
def getState(self):
r = [