fenrir-wolfpack-simulation
Version:
Fenrir is an assistant to prognosticate the future of a wolfpack using vanilla Javascript and data structures.
226 lines (189 loc) • 7.47 kB
JavaScript
function calculateBiomeBasedHuntSuccesChance(){
for(let i=1;i<wolves.length;i++)
{
if(wolves[i].definitiveFields.familySet.id===environment.biome.id)
{
biomeBasedHuntSuccessChance+=(50/wolves.length);
}
else if((wolves[i].definitiveFields.familySet.name==="arctic" || wolves[i].definitiveFields.familySet.name==="taiga") && (environment.biome.name==="arctic" || environment.biome.name==="taiga"))
{
biomeBasedHuntSuccessChance+=(30/wolves.length);
}
else if((wolves[i].definitiveFields.familySet.name==="forest" || wolves[i].definitiveFields.familySet.name==="jungle") && (environment.biome.name==="forest" || environment.biome.name==="jungle"))
{
biomeBasedHuntSuccessChance+=(30/wolves.length);
}
else if((wolves[i].definitiveFields.familySet.name==="tundra" || wolves[i].definitiveFields.familySet.name==="plains") && (environment.biome.name==="tundra" || environment.biome.name==="plains"))
{
biomeBasedHuntSuccessChance+=(30/wolves.length);
}
else if((wolves[i].definitiveFields.familySet.name==="tundra" || wolves[i].definitiveFields.familySet.name==="plains") && (environment.biome.name==="tundra" || environment.biome.name==="plains"))
{
biomeBasedHuntSuccessChance+=(30/wolves.length);
}
else{
biomeBasedHuntSuccessChance-=(50/wolves.length);
}
}
}
function calculateActiveClimateBasedBiasHuntChance(){
if(currentWeatherEvent==="tornado"){
activeClimateBasedBiasHuntChance=0;
}
else if(currentWeatherEvent==="frost"){
activeClimateBasedBiasHuntChance=35;
}
else if(currentWeatherEvent==="constant rain"){
activeClimateBasedBiasHuntChance=0;
}
else if(currentWeatherEvent==="fog"){
activeClimateBasedBiasHuntChance=100;
}
else if(currentWeatherEvent==="none"){
activeClimateBasedBiasHuntChance=50;
}
else{
activeClimateBasedBiasHuntChance=50;
}
}
function calculateDiseaseBasedHuntChance(){
for(let i=1;i<wolves.length;i++)
{
if(wolves[i].definitiveFields.diseases.length>0){
diseaseBasedHuntChance=(diseaseBasedHuntChance-(50*wolves[i].diseases.length))/2;
}
}
}
function calculateHungerBasedHuntChance(){
for(let i=1;i<wolves.length;i++)
{
if(wolves[i].definitiveFields.hunger>0){
hungerBasedHuntChance-=(wolves[i].definitiveFields.hunger/wolves.length);
}
else{
hungerBasedHuntChance+=(100/wolves.length);
}
}
if(hungerBasedHuntChance>100){//error check
hungerBasedHuntChance=100;
}
}
function calculatePackSizeBasedHuntChance(){
if(wolves.length<(idealPacksize*50/100)){
packSizeBasedHuntChance=25;
}
else if(wolves.length>(idealPacksize*50/100) && wolves.length<=idealPacksize){
packSizeBasedHuntChance=50;
}
else if(wolves.length>idealPacksize){
packSizeBasedHuntChance=100;
}
}
function calculateHuntSuccessChance() {
try{
calculateBiomeBasedHuntSuccesChance();
calculateDiseaseBasedHuntChance();
calculateActiveClimateBasedBiasHuntChance();
calculateHungerBasedHuntChance();
calculatePackSizeBasedHuntChance();
huntSuccessChance=(biomeBasedHuntSuccessChance+constantChance+wolfHuntSuccessChance+activeClimateBasedBiasHuntChance+diseaseBasedHuntChance+hungerBasedHuntChance+packSizeBasedHuntChance)/7;
console.log("in the calculate hunt chance:"+huntSuccessChance);
simulationLogs.push(new simulationLog(currentDate,"Chance", "Current hunting success chance is: "+huntSuccessChance));
return huntSuccessChance;
}
catch(e){
console.log(e);
}
finally {
resetHuntChances();
}
//resetHuntChances();
//biomeBasedHuntSuccessChance calculated
//constantChance is constant, from parameters
//wolfHuntSuccessChance is constant, from parameters
//activeClimateBasedBiasHuntChance is calculated
//diseaseBasedHuntChance is calculated
}
function calculateAlphaPoints(){
for(let i=1;i<wolves.length;i++)
{
//age, diseases, anatomic sizes, marks, characteristics,
let alphaP=100;
for(let k=0;k<wolves[i].definitiveFields.diseases.length;k++){
alphaP-=10;
}
for(let l=0;l<wolves.length;l++)
{
if(wolves[i].definitiveFields.age>wolves[l].definitiveFields.age){
alphaP+=5;
}
else if(wolves[i].definitiveFields.age===wolves[l].definitiveFields.age){
//same wolf
}
else{
alphaP-=5;
}
/////////
if(wolves[i].definitiveFields.wolfAnatomicSizes.skullDiameter>wolves[l].definitiveFields.wolfAnatomicSizes.skullDiameter){
alphaP+=2;
}
else if(wolves[i].definitiveFields.wolfAnatomicSizes.skullDiameter===wolves[l].definitiveFields.wolfAnatomicSizes.skullDiameter){
//same wolf
}
else{
alphaP-=2;
}
if(wolves[i].definitiveFields.wolfAnatomicSizes.pawDiameter>wolves[l].definitiveFields.wolfAnatomicSizes.pawDiameter){
alphaP+=2;
}
else if(wolves[i].definitiveFields.wolfAnatomicSizes.pawDiameter===wolves[l].definitiveFields.wolfAnatomicSizes.pawDiameter){
}
else{
alphaP-=2;
}
if(wolves[i].definitiveFields.wolfAnatomicSizes.foreLegHeight>wolves[l].definitiveFields.wolfAnatomicSizes.foreLegHeight){
alphaP+=2;
}
else if(wolves[i].definitiveFields.wolfAnatomicSizes.foreLegHeight===wolves[l].definitiveFields.wolfAnatomicSizes.foreLegHeight){
//same wolf
}
else{
alphaP-=2;
}
////////////////
if(wolves[i].definitiveFields.strMark>wolves[l].definitiveFields.strMark){
alphaP+=5;
}
else if(wolves[i].definitiveFields.strMark===wolves[l].definitiveFields.strMark){
//same wolf
}
else{
alphaP-=5;
}
if(wolves[i].definitiveFields.agiMark>wolves[l].definitiveFields.agiMark){
alphaP+=3;
}
else if(wolves[i].definitiveFields.agiMark===wolves[l].definitiveFields.agiMark){
}
else{
alphaP-=3;
}
if(wolves[i].definitiveFields.intMark>wolves[l].definitiveFields.intMark){
alphaP+=2;
}
else if(wolves[i].definitiveFields.intMark===wolves[l].definitiveFields.intMark){
//same wolf
}
else{
alphaP-=2;
}
}
/////////
let character=wolves[i].definitiveFields.characteristics;
if(character.indexOf("leader")!==0 || character.indexOf("dominant")!==0 ){
alphaP+=20;
}
wolves[i].definitiveFields.alphaPoints=alphaP;
simulationLogs.push(new simulationLog(currentDate,"Calculation","The wolf id:"+wolves[i].structuralFields.id+" has got alpha point of: "+alphaP));
}
}