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Convert DatasetsConsole & ResultsDatasetConsole to string output

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This commit is contained in:
Ricardo Montañana Gómez
2024-03-16 13:48:49 +01:00
parent b9af086c29
commit fa366a4c22
9 changed files with 201 additions and 180 deletions
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56
src/reports/DatasetsConsole.cpp Normal file
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#include "common/Colors.h"
#include "common/Datasets.h"
#include "common/Paths.h"
#include "DatasetsConsole.h"
namespace platform {
const int DatasetsConsole::BALANCE_LENGTH = 75;
std::string DatasetsConsole::outputBalance(const std::string& balance)
{
auto temp = std::string(balance);
while (temp.size() > DatasetsConsole::BALANCE_LENGTH - 1) {
auto part = temp.substr(0, DatasetsConsole::BALANCE_LENGTH);
output << part << std::endl;
output << setw(52) << " ";
temp = temp.substr(DatasetsConsole::BALANCE_LENGTH);
}
return temp;
}
void DatasetsConsole::list_datasets()
{
auto datasets = platform::Datasets(false, platform::Paths::datasets());
locale mylocale(std::cout.getloc(), new separated_datasets);
locale::global(mylocale);
output.imbue(mylocale);
output << Colors::GREEN() << " # Dataset Sampl. Feat. Cls Balance" << std::endl;
std::string balanceBars = std::string(DatasetsConsole::BALANCE_LENGTH, '=');
output << "=== ============================== ====== ===== === " << balanceBars << std::endl;
int num = 0;
for (const auto& dataset : datasets.getNames()) {
auto color = num % 2 ? Colors::CYAN() : Colors::BLUE();
output << color << setw(3) << right << num++ << " ";
output << setw(30) << left << dataset << " ";
datasets.loadDataset(dataset);
auto nSamples = datasets.getNSamples(dataset);
output << setw(6) << right << nSamples << " ";
output << setw(5) << right << datasets.getFeatures(dataset).size() << " ";
output << setw(3) << right << datasets.getNClasses(dataset) << " ";
std::stringstream oss;
std::string sep = "";
for (auto number : datasets.getClassesCounts(dataset)) {
oss << sep << std::setprecision(2) << fixed << (float)number / nSamples * 100.0 << "% (" << number << ")";
sep = " / ";
}
auto balance = outputBalance(oss.str());
output << balance << std::endl;
// Store data for Excel report
data[dataset] = json::object();
data[dataset]["samples"] = nSamples;
data[dataset]["features"] = datasets.getFeatures(dataset).size();
data[dataset]["classes"] = datasets.getNClasses(dataset);
data[dataset]["balance"] = oss.str();
}
numLines = num + 2;
}
}

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src/reports/DatasetsConsole.h Normal file
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#pragma once
#include <locale>
#include <sstream>
#include <nlohmann/json.hpp>
namespace platform {
using json = nlohmann::json;
struct separated_datasets : numpunct<char> {
char do_decimal_point() const { return ','; }
char do_thousands_sep() const { return '.'; }
std::string do_grouping() const { return "\03"; }
};
class DatasetsConsole {
public:
static const int BALANCE_LENGTH;
DatasetsConsole() = default;
~DatasetsConsole() = default;
std::string getOutput() const { return output.str(); }
int getNumLines() const { return numLines; }
json& getData() { return data; }
std::string outputBalance(const std::string& balance);
void list_datasets();
private:
std::stringstream output;
json data;
int numLines = 0;
};
}

78
src/reports/DatasetsConsole.hpp
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#pragma once
#include <locale>
#include <map>
#include <sstream>
#include <nlohmann/json.hpp>
#include "common/Colors.h"
#include "common/Datasets.h"
namespace platform {
const int BALANCE_LENGTH = 75;
struct separated_datasets : numpunct<char> {
char do_decimal_point() const { return ','; }
char do_thousands_sep() const { return '.'; }
std::string do_grouping() const { return "\03"; }
};
class DatasetsConsole {
public:
DatasetsConsole() = default;
~DatasetsConsole() = default;
std::string getOutput() const { return output.str(); }
int getNumLines() const { return numLines; }
json& getData() { return data; }
std::string outputBalance(const std::string& balance)
{
auto temp = std::string(balance);
while (temp.size() > BALANCE_LENGTH - 1) {
auto part = temp.substr(0, BALANCE_LENGTH);
output << part << std::endl;
output << setw(52) << " ";
temp = temp.substr(BALANCE_LENGTH);
}
return temp;
}
void list_datasets()
{
auto datasets = platform::Datasets(false, platform::Paths::datasets());
locale mylocale(std::cout.getloc(), new separated_datasets);
locale::global(mylocale);
output.imbue(mylocale);
output << Colors::GREEN() << " # Dataset Sampl. Feat. Cls Balance" << std::endl;
std::string balanceBars = std::string(BALANCE_LENGTH, '=');
output << "=== ============================== ====== ===== === " << balanceBars << std::endl;
int num = 0;
for (const auto& dataset : datasets.getNames()) {
auto color = num % 2 ? Colors::CYAN() : Colors::BLUE();
output << color << setw(3) << right << num++ << " ";
output << setw(30) << left << dataset << " ";
datasets.loadDataset(dataset);
auto nSamples = datasets.getNSamples(dataset);
output << setw(6) << right << nSamples << " ";
output << setw(5) << right << datasets.getFeatures(dataset).size() << " ";
output << setw(3) << right << datasets.getNClasses(dataset) << " ";
std::stringstream oss;
std::string sep = "";
for (auto number : datasets.getClassesCounts(dataset)) {
oss << sep << std::setprecision(2) << fixed << (float)number / nSamples * 100.0 << "% (" << number << ")";
sep = " / ";
}
auto balance = outputBalance(oss.str());
output << balance << std::endl;
// Store data for Excel report
data[dataset] = json::object();
data[dataset]["samples"] = nSamples;
data[dataset]["features"] = datasets.getFeatures(dataset).size();
data[dataset]["classes"] = datasets.getNClasses(dataset);
data[dataset]["balance"] = oss.str();
}
numLines = num + 2;
}
private:
std::stringstream output;
json data;
int numLines = 0;
};
}