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old_index.js
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old_index.js
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var df = require("distfitjs/lib/distfit");
var ss = require("simple-statistics");
var sqlite = require("sqlite-sync");
var scoutItems = {
rb: 5,
g: 8,
a: 5,
sg: 5,
fs: 0.5,
ff: 0.8,
fd: 1.2,
ft: 3,
dd: 3,
dp: 7,
gc: -5,
cv: -5,
ca: -2,
gs: -2,
pp: -4,
fc: -0.5,
i: -0.5,
pe: -0.3
};
var tacticItems = {
t1: 343,
t2: 352,
t3: 433,
t4: 442,
t5: 451,
t6: 532,
t7: 541
};
//Connecting
sqlite.connect("cartola.db");
recommendedPlayersForTeam("Corinthians", 3);
function evaluateWinnerTactics() {
// Return which cartola squad tactics returns the highly probable, high scoring players
Object.keys(tacticItems).forEach(tc => {
evaluateTactics(tc).score;
});
}
function evaluateTactics(tactic) {
// Return the squad score with the tactic selected, using the highest probable, highest scoring players
}
function recommendedPlayersForTeam(team, quantity) {
// Return the players from estimateScoutItemsForTeam(team), that are highly probable
// of high scores
var teamData = estimateScoutItemsForTeam(team);
// console.log(teamData.nome + " | " + teamData.next.score);
var teamData = teamData.sort(function(a, b) {
if (a.next.probability < b.next.probability) {
return 1;
}
if (a.next.probability > b.next.probability) {
return -1;
}
return 0;
});
var teamData = teamData.filter(i => ((i.next.probability !== 1) ));
teamData.forEach(i => {
console.log(
(i.next.probability * 100).toFixed(22) +
" | " +
i.next.score.toFixed(22) +
" | " +
i.nome
);
});
}
function estimateScoutItemsForTeam(team) {
//TODO: It's repeating over and over by the length of all the players in the championship
var uniquePlayersSql =
"select nome, clube, count(nome) from scouts where clube = '" +
team +
"' AND nome not like '%(TEC)' AND rodada = 10 group by nome;";
var uniquePlayersData = sqlite.run(uniquePlayersSql);
Object.keys(scoutItems).forEach(k => {
uniquePlayersData = estimateScoutItemForPlayers(k, uniquePlayersData);
});
uniquePlayersData = calculateProbableScore(uniquePlayersData);
// uniquePlayersData.forEach(i => {
// console.log(i.next.score.toFixed(8) + " || " + i.next.probability.toFixed(8) + ' || ' + i.nome );
// });
return uniquePlayersData;
}
function calculateProbableScore(finePlayersData) {
for (var i = 0; i < finePlayersData.length; i++) {
var nextScore = 0,
nextScoreProbability = 1;
Object.keys(scoutItems).forEach(k => {
nextScore +=
zeroIfNullOrNaNOrUndefined(finePlayersData[i]["prob" + k]) *
scoutItems[k];
nextScoreProbability *= oneIfNullOrNaNOrUndefined(
finePlayersData[i]["prob" + k]
);
});
finePlayersData[i].next = {
score: nextScore,
probability: nextScoreProbability
};
}
return finePlayersData;
}
function estimateScoutItemForAllTeams() {
var fulldata = [];
var uniqueTeamsSql = "select distinct clube from scouts where ano = 2018;";
var uniqueTeamsData = sqlite.run(uniqueTeamsSql);
for (var i = 0; i < uniqueTeamsData.length; i++) {
tempdata = estimateScoutItemsForTeam(uniqueTeamsData[i].clube);
// console.log("======================================");
// console.log(uniqueTeamsData[i].clube + " || Jogadores: " + tempdata.length);
// console.log("======================================");
fulldata += tempdata;
}
console.log(fulldata.length);
}
function estimateScoutItemForPlayers(sItem, playersData) {
for (var i = 0; i < playersData.length; i++) {
var playerScoutsSql =
"select " +
sItem +
" from scouts where nome ='" +
playersData[i].nome +
"' and " +
sItem +
" is not null;";
var data = convertObject2Array(sqlite.run(playerScoutsSql), sItem);
playersData[i][sItem + "dataPlusStats"] = extractDescriptiveStats(data);
playersData[i]["prob" + sItem] = getMaxProbableValue(
calculateProbabilitiesForRange(playersData[i][sItem + "dataPlusStats"])
);
}
return playersData;
}
function getMaxProbableValue(probsData) {
var maxProb = undefined;
if (probsData.length !== 0) {
maxProb = probsData.reduce(function(prev, current) {
return prev.nextProbability > current.nextProbability ? prev : current;
});
}
return maxProb;
}
function calculateProbabilitiesForRange(dataAndStats) {
var poisson = new df.Poisson();
poisson.fitData(dataAndStats.data);
var probs = new Array();
if (dataAndStats.count != 0) {
for (var j = dataAndStats.min - 10; j < dataAndStats.max + 10; j++) {
probs.push({ value: j, nextProbability: poisson.pmf(j) });
}
}
return probs;
}
function extractDescriptiveStats(valueArray) {
if (valueArray.length === 0) {
return {
data: valueArray,
max: null,
min: null,
count: valueArray.length,
unique: null
};
} else {
return {
data: valueArray,
max: ss.max(valueArray),
min: ss.min(valueArray),
count: valueArray.length,
unique: new Set(valueArray)
};
}
}
function convertObject2Array(valueObjects, columnName) {
var valueArray = new Array();
for (var i = 0; i < valueObjects.length; i++) {
valueArray.push(valueObjects[i][columnName]);
}
return valueArray;
}
function zeroIfNullOrNaNOrUndefined(data) {
if (data === null || data === NaN || data === undefined) {
return 0;
} else {
return data.value;
}
}
function oneIfNullOrNaNOrUndefined(data) {
if (data === null || data === NaN || data === undefined) {
return 1;
} else {
return data.nextProbability;
}
}
function evaluateForecastPerformance() {}