public override void Run(string[] args)
{
base.Run(args);
Validate();
OpenSource(input);
Statistic[] data = (Statistic[])ReadData();
List <Hero> hData = (List <Hero>)JSonParser.Load(File.ReadAllText(heroInput, Encoding.Default), typeof(List <Hero>));
List <Map> mData = (List <Map>)JSonParser.Load(File.ReadAllText(mapInput, Encoding.Default), typeof(List <Map>));
Dictionary <string, int> mapper = new Dictionary <string, int>();
int id = 0;
///Сперва добавляем только тех героев, которые участвовали в матче
///формат записи: Hero#ид героя#номер команды => глобальный идентификатор
for (int i = 0; i < data[0].Statictic.Matches.Length; i++)
{
if (data.Sum((x) => x.Statictic.Matches[i]) > 0)
{
mapper.Add($"Hero#{i}", id++);
Console.WriteLine(hData[i] + " => " + id + ";" + (id + 1));
// mapper.Add($"Hero#{i}#1", id++);
}
else
{
Console.WriteLine(hData[i] + " отсутствует в датасете");
}
}
for (int i = 0; i < data.Length; i++)
{
if (data[i].Statictic.Ammount > 0)
{
mapper.Add($"Map#{i}", id++);
Console.WriteLine(mData[i] + " => " + id);
}
else
{
Console.WriteLine(mData[i] + " отсутствует в датасете");
}
}
Save(output, mapper, mapper.GetType());
}
public override void Run(string[] args)
{
base.Run(args);
Validate();
guidMapper = (Dictionary <string, int>)JSonParser.Load(File.ReadAllText(guidInput), typeof(Dictionary <string, int>));
HashSet <string[]> nnDataset = new HashSet <string[]>();
OpenSource(input);
object data;
if (addition)
{
Console.WriteLine("Датасет будет дополнен обратными записями");
}
while ((data = ReadData()) != null)
{
inputCount = ((object[])data).Length;
string[] line = ParseData(data);
if (line == null)
{
continue;
}
nnDataset.Add(line);
if (addition == true)
{
string[] reverseLine = ParseLoseData(data);
reverseLine[inputCount - 1] = (1 - Int32.Parse(reverseLine[inputCount - 1])).ToString();
nnDataset.Add(reverseLine);
}
if (nnDataset.Count % 100000 == 0)
{
Console.WriteLine("Уже обработано " + nnDataset.Count);
}
}
Save(output, nnDataset.ToList(), null);
}
public static void SaveTOExcelCSVFormat()
{
List <string> Keys = new List <string>();
Dictionary <string, string> NamedParam = new Dictionary <string, string>();
foreach (string arg in args)
{
string[] tryParse = arg.Split('=');
if (tryParse.Length == 2)
{
NamedParam[tryParse[0]] = tryParse[1];
}
else
{
Keys.Add(arg);
}
}
if (NamedParam.ContainsKey("i") == false)
{
throw new Exception("Не инициализирован обязательный параметр i");
}
if (File.Exists(NamedParam["i"]) == false)
{
throw new FileNotFoundException($"{NamedParam["i"]} not found");
}
if (NamedParam.ContainsKey("o") == false)
{
string input = NamedParam["i"];
string fDir = Path.GetDirectoryName(input);
string fName = Path.GetFileNameWithoutExtension(input);
string fExt = Path.GetExtension(input);
NamedParam["o"] = Path.Combine(fDir, String.Concat(fName, "_o", fExt));
}
Statistic[] statistic = (Statistic[])JSonParser.Load(File.ReadAllText(NamedParam["i"]), typeof(Statistic[]));
SaveTOExcelCSVFormat(statistic, NamedParam["o"]);
}
static void Main(string[] args)
{
log("debug", "Процесс миграции схемы запущен");
log("debug", "Дамп будет создан для базы данных PostegreSQL");
if (!Directory.Exists("./Database"))
{
Directory.CreateDirectory("./Database");
}
if (!Directory.Exists("./Dataset"))
{
Directory.CreateDirectory("./Dataset");
}
HeroService heroes = new HeroService();
log("debug", "Загрузка Hero.json");
heroes.Load("./Source/Hero/Hero.json");
log("succes", "Hero.json Загружен");
HeroDetailsService details = new HeroDetailsService();
log("debug", "Загрузка HeroDetails.json");
details.Load("./Source/Hero/HeroDetails.json");
log("succes", "HeroDetails.json Загружен");
HeroClustersSevice clusters = new HeroClustersSevice();
log("debug", "Загрузка HeroClusters.json");
clusters.Load("./Source/Hero/HeroClusters.json");
log("succes", "HeroClusters.json Загружен");
log("debug", "Загрузка HeroWebExtension.json");
HeroWebExtension[] webExtension = (HeroWebExtension[])
JSonParser.Load(File.ReadAllText("./Source/Hero/HeroWebExtension.json"), typeof(HeroWebExtension[]));
log("succes", "HeroWebExtension.json Загружен");
MapService maps = new MapService();
log("debug", "Загрузка Map.json");
maps.Load("./Source/Map/Map.json");
log("succes", "Map.json Загружен");
StatisticService stats = new StatisticService();
log("debug", "Загрузка Statistic.json");
stats.Load("./Source/Replay/Statistic.json");
log("succes", "Statistic.json Загружен");
HeroStatisticService hstats = new HeroStatisticService();
log("debug", "Загрузка Statistic_sho.json");
hstats.Load("./Source/Replay/Statistic_sho.json");
log("succes", "Statistic_sho.json Загружен");
MatchupService matchups = new MatchupService();
log("debug", "Загрузка MatchupTable.json");
matchups.Load("./Source/Replay/MatchupTable.json");
log("succes", "MatchupTable.json Загружен");
log("debug", "Формирование датасета начато");
Dataset set = MakeDataset();
log("succes", "Датасета сформирован");
log("debug", "Инициализация PostegreSQL Converter ORM");
PostegresConverter converter = new PostegresConverter();
log("info", "========Конвертация ключей===============");
log("info", "group => _group");
log("info", "min_id => id_min");
log("info", "max_id => id_max");
log("info", "avg_id => id_avg");
converter.CustomNameMapper["group"] = "_group";
converter.CustomNameMapper["min_id"] = "id_min";
converter.CustomNameMapper["max_id"] = "id_max";
converter.CustomNameMapper["avg_id"] = "id_avg";
log("info", "=========================================");
log("succes", "PostegreSQL Converter ORM инициалирован");
log("debug", "Генерация секвенсеров");
string sequensers = @"
alter sequence gaussian_id_seq minvalue 0 start with 0;
select setval('gaussian_id_seq', 0, false);
alter sequence heroclusters_id_seq minvalue 0 start with 0;
select setval('heroclusters_id_seq', 0, false);
alter sequence statisticheroesmax_id_seq minvalue 0 start with 0;
select setval('statisticheroesmax_id_seq', 0, false);
alter sequence statisticheroesmin_id_seq minvalue 0 start with 0;
select setval('statisticheroesmin_id_seq', 0, false);
alter sequence statisticheroesavg_id_seq minvalue 0 start with 0;
select setval('statisticheroesavg_id_seq', 0, false);";
log("succes", "Cеквенсеры сгенерированы");
log("debug", "Процесс генерации схемы начат");
log("info", "========Генерация словарей===============");
string[] enumsTable = AppDomain.CurrentDomain.GetAssemblies()
.SelectMany(t => t.GetTypes())
.Where(t => t.IsEnum && t.Namespace == "HoTS_Service.Entity.Enum")
.Select(_enum =>
{
log("info", _enum.FullName);
return(converter.CreateDictionary(_enum.Name));
})
.ToArray();
log("info", "=========================================");
log("info", "========Генерация таблиц=================");
Dictionary <string, string> tables = new Dictionary <string, string>();
Dictionary <string, string> data = new Dictionary <string, string>();
tables["heroesTable"] = converter.CreateTable("Hero", typeof(Hero), "Id",
new List <Foreign> {
new Foreign()
{
DataTable = "HeroGroup",
Key = "_group",
ForeignKey = "id"
},
new Foreign()
{
DataTable = "HeroSubGroup",
Key = "subgroup",
ForeignKey = "id"
}
});
log("info", "Hero");
tables["detailsTable"] = converter.CreateTable("HeroDetails",
typeof(HeroDetails), "id", new List <Foreign> {
new Foreign()
{
DataTable = "Hero",
Key = "id",
ForeignKey = "id"
},
new Foreign()
{
DataTable = "Difficulty",
Key = "difficulty",
ForeignKey = "id"
},
new Foreign()
{
DataTable = "Franchise",
Key = "franchise",
ForeignKey = "id"
},
new Foreign()
{
DataTable = "ResourceType",
Key = "resourcetype",
ForeignKey = "id"
}
});
log("info", "HeroDetails");
tables["heroWebExtension"] = converter.CreateTable("HeroWebExtension", typeof(HeroWebExtension), "id",
new List <Foreign> {
new Foreign()
{
DataTable = "Hero",
Key = "id",
ForeignKey = "id"
}
});
log("info", "HeroWebExtension");
tables["mapTable"] = converter.CreateTable("Map", typeof(Map), "id", null);
log("info", "Map");
tables["statisticTable"] = StatisticSchema();
log("info", "Statistic");
tables["statisticShoMin"] = converter.CreateTable("StatisticHeroesMin",
typeof(HeroStatisticItemMin), "id", null);
log("info", "StatitsticHeroesMin");
tables["statisticShoMax"] = converter.CreateTable("StatisticHeroesMax",
typeof(HeroStatisticItemMax), "id", null);
log("info", "StatitsticHeroesMax");
tables["statisticShoAvg"] = converter.CreateTable("StatisticHeroesAvg",
typeof(HeroStatisticItemAvg), "id", null);
log("info", "StatitsticHeroesAvg");
tables["statisticSho"] = converter.CreateTable("StatisticHeroes",
typeof(HeroStatistic), "id", new List <Foreign> {
new Foreign()
{
DataTable = "StatisticHeroesMin",
Key = "id_min",
ForeignKey = "id"
},
new Foreign()
{
DataTable = "StatisticHeroesAvg",
Key = "id_avg",
ForeignKey = "id"
},
new Foreign()
{
DataTable = "StatisticHeroesMax",
Key = "id_max",
ForeignKey = "id"
},
new Foreign()
{
DataTable = "Hero",
Key = "id",
ForeignKey = "id"
}
});
log("info", "StatitsticHeroes");
tables["matchupTable"] = MatchupTableSchema();
log("info", "MatchupTable");
tables["gaussian"] = converter.CreateTable("Gaussian", typeof(Gaussian)
, "id", null);
log("info", "Gaussian");
tables["probabilities"] = converter.CreateTable("GaussianProbabilities",
typeof(Probabilities)
, "id", new List <Foreign> {
new Foreign()
{
DataTable = "Gaussian",
Key = "gaussian_id",
ForeignKey = "id"
}
});
log("info", "GaussianProbabilities");
tables["heroClusters"] = converter.CreateTable("HeroClusters", typeof(HeroClusters)
, "id", new List <Foreign> {
new Foreign()
{
DataTable = "Hero",
Key = "id",
ForeignKey = "id"
},
new Foreign()
{
DataTable = "Gaussian",
Key = "gaussian",
ForeignKey = "id"
},
new Foreign()
{
DataTable = "HeroSubGroup",
Key = "subgroupcluster",
ForeignKey = "id"
}
});
log("info", "HeroClusters");
tables["dataset"] = converter.CreateTable("Dataset", typeof(Dataset), "id", null);
log("info", "Dataset");
tables["trainingState"] = converter.CreateTable("TrainingState", typeof(LogInfo), "id", null);
log("info", "TrainingState");
tables["trainMeta"] = converter.CreateTable("TrainingMeta", typeof(TrainMeta), "id", null);
log("info", "TrainingMeta");
tables["network"] = converter.CreateTable("Network", typeof(Network)
, "id", new List <Foreign> {
new Foreign()
{
DataTable = "Dataset",
Key = "dataset_id",
ForeignKey = "id"
},
new Foreign()
{
DataTable = "TrainingState",
Key = "state_id",
ForeignKey = "id"
},
new Foreign()
{
DataTable = "TrainingMeta",
Key = "meta_id",
ForeignKey = "id"
},
});
log("info", "Network");
log("info", "=========================================");
log("succes", "Схема успешно сгенерирована");
log("info", "========Генерация дампа данных===========");
string[] enumsData = AppDomain.CurrentDomain.GetAssemblies()
.SelectMany(t => t.GetTypes())
.Where(t => t.IsEnum && t.Namespace == "HoTS_Service.Entity.Enum")
.Select(_enum => converter.InsertDictionary(_enum))
.ToArray();
data["heroesTable"] = converter.Insert("Hero", heroes.All());
log("info", "Hero");
data["detailsTable"] = converter.Insert("HeroDetails", details.All());
log("info", "HeroDetails");
data["heroWebExtension"] = converter.Insert("HeroWebExtension", webExtension);
log("info", "HeroWebExtension");
data["mapTable"] = converter.Insert("Map", maps.All());
log("info", "Map");
data["statisticTable"] = StatisticData(stats);
log("info", "Statistic");
data["statisticShoMin"] = converter.Insert("StatisticHeroesMin", hstats.All().Item2);
log("info", "StatisticHeroesMin");
data["statisticShoMax"] = converter.Insert("StatisticHeroesMax", hstats.All().Item3);
log("info", "StatisticHeroesMax");
data["statisticShoAvg"] = converter.Insert("StatisticHeroesAvg", hstats.All().Item1);
log("info", "StatisticHeroesAvg");
data["statisticSho"] = HeroesStatisticData(hstats);
log("info", "HeroesStatistic");
data["matchupTable"] = MatchupData(matchups, heroes.Count());
int probId = 0;
data["gaussian"] = converter.Insert("Gaussian", clusters.Select(x => x.Gaussian));
log("info", "Gaussian");
data["probabilities"] = converter.Insert("GaussianProbabilities",
clusters.
Select(x => x.Gaussian.Probability.
Select(y => new Probabilities()
{
id = probId++,
value = y,
gaussian_id = x.Id,
})).SelectMany(z => z));
log("info", "GaussianProbabilities");
data["heroClusters"] = converter.Insert("HeroClusters", clusters.All());
log("info", "HeroClusters");
data["dataset"] = converter.Insert("Dataset", set);
log("info", "Dataset");
string[] trainingStatesAll = Directory
.GetFiles("./Source/Network", "*.json", SearchOption.AllDirectories);
string[] trainingStates = trainingStatesAll
.Where(x => !x.Contains("Best") && x.Contains("\\Report\\"))
.ToArray();
string[] trainingStatesBest = trainingStatesAll
.Where(x => x.Contains("Best") && x.Contains("\\Report\\"))
.ToArray();
long[] traingingStateIds = trainingStates
.Select(file => File.GetCreationTime(file).Ticks)
.ToArray();
long[] traingingStateIdsBest = trainingStatesBest
.Select(file => File.GetCreationTime(file).Ticks)
.ToArray();
var trainigsStateData = trainingStates
.Select(x => File.ReadAllText(x))
.Select(json => ((Dictionary <string, dynamic>)JSONWebParser.Load(json)))
.Select((obj, index) => new
{
id = traingingStateIds[index],
error = (double)obj["error"],
iteration = (int)obj["iteration"],
percent = (double)obj["percent"],
validError = (double)obj["validError"],
validPercent = (double)obj["validPercent"]
})
.Concat(
trainingStatesBest
.Select(x => File.ReadAllText(x))
.Select(json => ((Dictionary <string, dynamic>)JSONWebParser.Load(json)))
.Select((obj, index) => new
{
id = traingingStateIdsBest[index],
error = (double)obj["error"],
iteration = (int)obj["iteration"],
percent = (double)obj["percent"],
validError = (double)obj["validError"],
validPercent = (double)obj["validPercent"]
}));
data["trainingState"] = converter.Insert("TrainingState", trainigsStateData);
log("info", "TrainingState");
string[] networksAll = Directory
.GetFiles("./Source/Network", "*.json", SearchOption.AllDirectories)
.ToArray();
string[] networks = networksAll
.Where(x => !x.Contains("Best") && !x.Contains("\\Report\\"))
.ToArray();
string[] networksBest = networksAll
.Where(x => x.Contains("Best") && !x.Contains("\\Report\\"))
.ToArray();
JavaScriptSerializer serializer = new JavaScriptSerializer();
var networksMeta = networks
.Select(x => File.ReadAllText(x))
.Select(json => serializer.Deserialize <NetworkTuple>(json).Meta)
.Select((obj, index) => new
{
Alias = obj.Alias,
ClusterPath = obj.ClusterPath,
Name = obj.Name,
Description = obj.Description,
Id = traingingStateIds[index]
}
)
.Concat(
networksBest
.Select(x => File.ReadAllText(x))
.Select(json => serializer.Deserialize <NetworkTuple>(json).Meta)
.Select((obj, index) => new
{
Alias = obj.Alias,
ClusterPath = obj.ClusterPath,
Name = obj.Name,
Description = obj.Description,
Id = traingingStateIdsBest[index]
}));
data["trainingMeta"] = converter.Insert("TrainingMeta", networksMeta);
log("info", "TrainingMeta");
var networksData = networks
.Select(x => File.ReadAllText(x))
.Select(json => serializer.Deserialize <NetworkTuple>(json).Network)
.Select((x, index) => new Network()
{
dataset_id = set.id,
data = new Json(File.ReadAllText(networks[index])),
state_id = traingingStateIds[index],
meta_id = traingingStateIds[index],
isBest = false,
id = traingingStateIds[index]
})
.Concat(
networksBest
.Select(x => File.ReadAllText(x))
.Select(json => serializer.Deserialize <NetworkTuple>(json).Network)
.Select((x, index) => new Network()
{
dataset_id = set.id,
data = new Json(File.ReadAllText(networksBest[index])),
state_id = traingingStateIdsBest[index],
meta_id = traingingStateIdsBest[index],
isBest = true,
id = traingingStateIdsBest[index]
}));
data["network"] = converter.Insert("Network", networksData);
log("info", "Network");
log("info", "=========================================");
log("succes", "Дамп данных успешно сгенерирован");
log("succes", "Схема успешно сгенерирована");
File.WriteAllText("./Database/create.sql",
string.Join("\n", enumsTable) +
string.Join("\n", tables.Select(x => x.Value).ToArray()));
File.WriteAllText("./Database/insert.sql",
sequensers + "\n\n" +
string.Join("\n", enumsData) +
string.Join("\n", data.Select(x => x.Value).ToArray()));
}
protected override object ReadData()
{
return(JSonParser.Load(File.ReadAllText(NamedParam["i"], Encoding.Default), typeof(Statistic[])));
}
public override void Run(string[] args)
{
base.Run(args);
Validate();
if (filter == true)
{
Console.WriteLine("Фильтр для образов в диапазоне [0.4,0.6] включен");
Console.WriteLine("Фильтр для случайных образов включен");
}
Console.WriteLine($"HERO_SUBGROUP_COUNT = {HERO_SUBGROUP_COUNT}");
guidMapper = (Dictionary <string, int>)JSonParser.Load(File.ReadAllText(guidInput), typeof(Dictionary <string, int>));
foreach (var it in guidMapper)
{
if (it.Key.Split('#')[0] == "Hero")
{
heroCount++;
}
}
Console.WriteLine($"HERO_COUNT = {heroCount}");
heroService = new HeroService();
heroService.Load(heroInput);
Dictionary <SByte[], Tuple <double, int> > nnDataset = new Dictionary <SByte[], Tuple <double, int> >(new ArrayEqualityComparer());
OpenSource(input);
object data;
bool wasPrint = false;
while ((data = ReadData()) != null)
{
var line = ParseData(data);
if (line == null)
{
continue;
}
if (nnDataset.ContainsKey(line.Item1))
{
var prev = nnDataset[line.Item1];
nnDataset[line.Item1] = new Tuple <double, int>(prev.Item1 + line.Item2, prev.Item2 + 1);
}
else
{
nnDataset[line.Item1] = new Tuple <double, int>(line.Item2, 1);
}
if (nnDataset.Count % 100000 == 0 && wasPrint == false)
{
Console.WriteLine("Уже обработано " + nnDataset.Count);
wasPrint = true;
}
if (nnDataset.Count % 100000 == 1)
{
wasPrint = false;
}
}
Save(output, nnDataset, null);
}