9d0a1d99e8
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
192 lines
7.0 KiB
C++
192 lines
7.0 KiB
C++
#include "app_base.h"
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#include "imgui.h"
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#include "core/logger.h"
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#include "data_table.h"
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#include <cstdio>
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#include <cstring>
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#include <memory>
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#include <string>
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#include <unordered_map>
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#include <vector>
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namespace {
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// ---------------------------------------------------------------------------
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// Dataset generador. Filas se generan con valores deterministas en funcion del
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// indice (semilla = i). Strings repetidas (lang/domain/purity/tested) usan
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// interned literals -> sin coste de memoria por fila.
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// ---------------------------------------------------------------------------
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struct Dataset {
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int rows = 0;
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int cols = 10;
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std::vector<std::string> backing; // dynamic strings (name, version, deps, size, cov, date)
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std::vector<const char*> cells; // row-major pointers
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};
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const char* const* dataset_cells(const Dataset& d) { return d.cells.data(); }
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std::shared_ptr<Dataset> build_dataset(int rows) {
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auto d = std::make_shared<Dataset>();
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d->rows = rows;
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d->cols = 10;
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static const char* langs[] = {"go", "py", "cpp", "bash", "ts"};
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static const char* domains[] = {"core", "viz", "infra", "finance", "notebook", "shell"};
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static const char* puritys[] = {"pure", "impure"};
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static const char* bools[] = {"true", "false"};
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// Reserve antes de pushear -> punteros .c_str() estables.
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d->backing.reserve((size_t)rows * 6 + 16);
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d->cells.reserve((size_t)rows * 10);
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auto add = [&](const std::string& s) -> const char* {
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d->backing.push_back(s);
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return d->backing.back().c_str();
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};
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char buf[40];
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for (int i = 0; i < rows; ++i) {
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std::snprintf(buf, sizeof(buf), "fn_%07d", i);
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const char* name = add(buf);
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const char* lang = langs[i % 5];
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const char* domain = domains[i % 6];
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const char* purity = puritys[i % 2];
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std::snprintf(buf, sizeof(buf), "%d", (i % 5) + 1);
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const char* vmaj = add(buf);
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std::snprintf(buf, sizeof(buf), "%d", i % 7);
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const char* deps = add(buf);
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std::snprintf(buf, sizeof(buf), "%.2f", ((i * 31) % 10000) / 100.0);
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const char* size = add(buf);
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std::snprintf(buf, sizeof(buf), "%.1f", (i % 1001) / 10.0);
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const char* cov = add(buf);
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const char* tst = bools[(i * 3) % 2];
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int y = 2024 + (i % 3);
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int m = 1 + (i % 12);
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int day = 1 + (i % 28);
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std::snprintf(buf, sizeof(buf), "%04d-%02d-%02d", y, m, day);
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const char* dt = add(buf);
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d->cells.push_back(name);
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d->cells.push_back(lang);
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d->cells.push_back(domain);
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d->cells.push_back(purity);
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d->cells.push_back(vmaj);
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d->cells.push_back(deps);
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d->cells.push_back(size);
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d->cells.push_back(cov);
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d->cells.push_back(tst);
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d->cells.push_back(dt);
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}
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return d;
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}
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std::shared_ptr<Dataset>& current_dataset() {
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static std::shared_ptr<Dataset> ds;
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if (!ds) ds = build_dataset(100);
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return ds;
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}
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} // namespace
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void render() {
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static data_table::State st;
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if (ImGui::Begin("Tables Playground - data_table v0.5")) {
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ImGui::TextWrapped(
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"v0.5: + en chip-row anade filtro a cualquier col. Show stats muestra "
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"0/uniq/mean/min/max por header. Clipper virtualiza render -> 1M filas a 60 FPS.");
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ImGui::Separator();
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ImGui::Text("Dataset size:");
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ImGui::SameLine();
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const int sizes[] = {100, 10000, 100000, 1000000};
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const char* labels[] = {"100", "10K", "100K", "1M"};
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for (size_t i = 0; i < sizeof(sizes)/sizeof(sizes[0]); ++i) {
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if (i > 0) ImGui::SameLine();
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bool is_active = (current_dataset()->rows == sizes[i]);
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if (is_active) ImGui::PushStyleColor(ImGuiCol_Button, IM_COL32(80, 120, 80, 255));
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if (ImGui::SmallButton(labels[i])) {
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current_dataset() = build_dataset(sizes[i]);
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st = data_table::State{}; // reset filtros/sort/orden al cambiar dataset
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}
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if (is_active) ImGui::PopStyleColor();
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}
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ImGui::SameLine();
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ImGui::TextDisabled("(actual: %d filas)", current_dataset()->rows);
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ImGui::Separator();
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static const char* headers[] = {
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"name", "lang", "domain", "purity",
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"version_major", "deps_count", "size_kb", "coverage_pct",
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"tested", "updated_at"
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};
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static const data_table::ColumnType types[] = {
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data_table::ColumnType::String, // name
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data_table::ColumnType::String, // lang
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data_table::ColumnType::String, // domain
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data_table::ColumnType::String, // purity
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data_table::ColumnType::Int, // version_major
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data_table::ColumnType::Int, // deps_count
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data_table::ColumnType::Float, // size_kb
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data_table::ColumnType::Float, // coverage_pct
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data_table::ColumnType::Bool, // tested
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data_table::ColumnType::Date, // updated_at
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};
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// Tabla extra para demo de joins (fase 9).
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static const char* lang_info_cells[] = {
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"go", "compiled", "2009",
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"py", "interp", "1991",
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"rust", "compiled", "2010",
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"ts", "interp", "2012",
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"bash", "shell", "1989",
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"lua", "interp", "1993",
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};
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static data_table::TableInput lang_info;
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if (lang_info.name.empty()) {
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lang_info.name = "lang_info";
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lang_info.headers = {"lang", "family", "year"};
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lang_info.types = {data_table::ColumnType::String,
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data_table::ColumnType::String,
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data_table::ColumnType::Int};
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lang_info.cells = lang_info_cells;
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lang_info.rows = 6;
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lang_info.cols = 3;
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}
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const auto& d = *current_dataset();
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static data_table::TableInput main_t;
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main_t.name = "fn_registry";
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main_t.headers = {"name", "lang", "domain", "purity",
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"version_major", "deps_count", "size_kb", "coverage_pct",
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"tested", "updated_at"};
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main_t.types = std::vector<data_table::ColumnType>(types, types + 10);
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main_t.cells = dataset_cells(d);
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main_t.rows = d.rows;
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main_t.cols = d.cols;
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std::vector<data_table::TableInput> tables = { main_t, lang_info };
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data_table::render("##bigdata", tables, st);
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}
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ImGui::End();
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}
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#ifndef FN_TEST_BUILD
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int main() {
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return fn::run_app({
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.title = "Tables Playground",
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.width = 1400,
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.height = 900,
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.about = {.name = "tables_playground",
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.version = "0.5.0",
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.description = "Playground data_table: + add filter, stats por columna, "
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"clipper para datasets de millones."},
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.log = {.file_path = "tables_playground.log",
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.level = static_cast<int>(fn_log::Level::Info)}
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}, render);
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}
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#endif
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