tables_qa/tab_drill.cpp

// tab_drill — drill-down stages + breadcrumb demo (issue 0108 fase 2).
// Muestra tabla de ventas jerarquica (region/country/product/quarter/revenue).
// Stage 0: raw. Stage 1: agrupado por region (Sum revenue).
// La UI arranca en stage 1. Right-click en celda de region -> popup nativo
// "Drill into" del modulo -> crea stage 2 con filter region == valor.
// Breadcrumb (<>) navega back/forward entre stages.
#include "tabs.h"
#include "qa_state.h"
#include "data_table/data_table.h"
#include <imgui.h>
#include <cstdio>   // snprintf

namespace tables_qa::tabs {

namespace {

// ---------------------------------------------------------------------------
// Datos: 30 filas x 5 columnas (region, country, product, quarter, revenue)
// 3 regiones x 3 paises x (Q1..Q4 repartidos) x 3 productos = 30 filas aprox.
// ---------------------------------------------------------------------------
struct Row {
    const char* region;
    const char* country;
    const char* product;
    const char* quarter;
    const char* revenue;
};

constexpr int kRows = 30;
constexpr int kCols = 5;

// Revenues: mezcla de 1000..50000 con variacion por region/producto.
static const Row kSalesData[kRows] = {
    // EMEA
    {"EMEA", "Germany",     "A", "Q1", "12500"},
    {"EMEA", "Germany",     "B", "Q2", "18300"},
    {"EMEA", "Germany",     "C", "Q3",  "9700"},
    {"EMEA", "France",      "A", "Q4", "21000"},
    {"EMEA", "France",      "B", "Q1", "14200"},
    {"EMEA", "France",      "C", "Q2",  "7800"},
    {"EMEA", "Spain",       "A", "Q3", "11500"},
    {"EMEA", "Spain",       "B", "Q4", "16800"},
    {"EMEA", "Spain",       "C", "Q1",  "5400"},
    {"EMEA", "Germany",     "A", "Q2", "19900"},
    // AMER
    {"AMER", "USA",         "A", "Q1", "45000"},
    {"AMER", "USA",         "B", "Q2", "38500"},
    {"AMER", "USA",         "C", "Q3", "22000"},
    {"AMER", "Canada",      "A", "Q4", "17600"},
    {"AMER", "Canada",      "B", "Q1", "13200"},
    {"AMER", "Canada",      "C", "Q2",  "8900"},
    {"AMER", "Brazil",      "A", "Q3", "27400"},
    {"AMER", "Brazil",      "B", "Q4", "31000"},
    {"AMER", "Brazil",      "C", "Q1", "11100"},
    {"AMER", "USA",         "A", "Q2", "49800"},
    // APAC
    {"APAC", "Japan",       "A", "Q1", "32000"},
    {"APAC", "Japan",       "B", "Q2", "25600"},
    {"APAC", "Japan",       "C", "Q3", "14300"},
    {"APAC", "Australia",   "A", "Q4", "18700"},
    {"APAC", "Australia",   "B", "Q1", "12400"},
    {"APAC", "Australia",   "C", "Q2",  "6100"},
    {"APAC", "Singapore",   "A", "Q3", "23800"},
    {"APAC", "Singapore",   "B", "Q4", "29500"},
    {"APAC", "Singapore",   "C", "Q1",  "9200"},
    {"APAC", "Japan",       "A", "Q2", "35400"},
};

// Backing strings (flat row-major) + ptrs (rebuilt by seed).
static std::string g_back[kRows * kCols];
static const char* g_ptrs[kRows * kCols];

// data_table state — persistent across frames.
static data_table::State g_dt;
static bool g_seeded = false;

// ---------------------------------------------------------------------------
// seed — fill g_back + g_ptrs, preset stages, set active_stage = 1.
// ---------------------------------------------------------------------------
void seed() {
    for (int r = 0; r < kRows; ++r) {
        int base = r * kCols;
        g_back[base + 0] = kSalesData[r].region;
        g_back[base + 1] = kSalesData[r].country;
        g_back[base + 2] = kSalesData[r].product;
        g_back[base + 3] = kSalesData[r].quarter;
        g_back[base + 4] = kSalesData[r].revenue;
    }
    for (int i = 0; i < kRows * kCols; ++i)
        g_ptrs[i] = g_back[i].c_str();

    // ------------------------------------------------------------------
    // Preset stages:
    //   stages[0] = raw (empty Stage — no breakouts, no aggregations).
    //   stages[1] = breakout by region + Sum of revenue.
    // ------------------------------------------------------------------
    g_dt.stages.clear();
    g_dt.stages.emplace_back();  // Stage 0: raw

    data_table::Stage agg;
    agg.breakouts    = {"region"};
    {
        data_table::Aggregation a;
        a.fn    = data_table::AggFn::Sum;
        a.col   = "revenue";
        a.alias = "revenue_sum";
        agg.aggregations.push_back(a);
    }
    g_dt.stages.push_back(agg);  // Stage 1: group by region + sum revenue

    // Start on the aggregated view.
    g_dt.active_stage = 1;

    // Clear drill history.
    g_dt.drill_back.clear();
    g_dt.drill_forward.clear();

    g_seeded = true;
}

} // anon

// ---------------------------------------------------------------------------
// render_drill
// ---------------------------------------------------------------------------
void render_drill() {
    if (!g_seeded) seed();

    // ------------------------------------------------------------------
    // UI controls above the table.
    // ------------------------------------------------------------------
    if (ImGui::SmallButton("Reset to grouped (stage 1)")) {
        // Keep only stage 0 + stage 1; drop any drill stages.
        if (g_dt.stages.size() > 2) {
            g_dt.stages.resize(2);
        }
        g_dt.active_stage = 1;
        g_dt.drill_back.clear();
        g_dt.drill_forward.clear();
    }
    ImGui::SameLine();
    if (ImGui::SmallButton("Reset to raw (stage 0)")) {
        g_dt.active_stage = 0;
        g_dt.drill_back.clear();
        g_dt.drill_forward.clear();
    }
    ImGui::SameLine();
    ImGui::TextDisabled(
        "Right-click any region cell -> 'Drill into' to filter down. "
        "Use breadcrumb < > to navigate back/forward.");

    // ------------------------------------------------------------------
    // Build TableInput.
    // ------------------------------------------------------------------
    data_table::TableInput tbl;
    tbl.name    = "sales";
    tbl.headers = {"region", "country", "product", "quarter", "revenue"};
    tbl.types   = {
        data_table::ColumnType::String,
        data_table::ColumnType::String,
        data_table::ColumnType::String,
        data_table::ColumnType::String,
        data_table::ColumnType::Float,
    };
    tbl.cells = g_ptrs;
    tbl.rows  = kRows;
    tbl.cols  = kCols;

    // Renderers: CategoricalChip on region, ColorScale on revenue.
    tbl.column_specs.resize(kCols);
    for (int i = 0; i < kCols; i++) tbl.column_specs[i].id = tbl.headers[i];

    // region: CategoricalChip — one dot per region for fast scanning.
    {
        auto& cs = tbl.column_specs[0];
        cs.renderer = data_table::CellRenderer::CategoricalChip;
        cs.chips    = {
            {"EMEA", "#3b82f6"},   // blue
            {"AMER", "#22c55e"},   // green
            {"APAC", "#f59e0b"},   // amber
        };
    }

    // revenue: ColorScale green→amber→red over [0, 50000].
    {
        auto& cs = tbl.column_specs[4];
        cs.renderer    = data_table::CellRenderer::ColorScale;
        cs.range_min   = 0.0;
        cs.range_max   = 50000.0;
        cs.range_alpha = 0.30f;
        // Default 3-stop gradient (green→amber→red) via empty range_stops.
    }

    // ------------------------------------------------------------------
    // Render.
    // ------------------------------------------------------------------
    ImGui::BeginChild("##drill_host", ImVec2(-1, -1));
    data_table::render("##drill_tbl", {tbl}, g_dt, nullptr,
                       qa::toggles().show_chrome);
    ImGui::EndChild();
}

} // namespace tables_qa::tabs