Oxygit

dnevnik.html643 lines
<!DOCTYPE html>
<html lang="ru">
<head>
  <meta charset="UTF-8">
  <meta name="viewport" content="width=device-width, initial-scale=1.0">
  <title>Дневник прибавки веса | SektaMama</title>
  <link rel="preconnect" href="https://fonts.googleapis.com">
  <link rel="preconnect" href="https://fonts.gstatic.com" crossorigin>
  <link href="https://fonts.googleapis.com/css2?family=Montserrat:wght@400;500;600;700;800;900&display=swap" rel="stylesheet">
  <style>
    :root {
      /* палитра обложек курса */
      --brown: #2b1d18;
      --coral: #d26349;
      --powder: #bfdde7;
      --sage: #aab9a4;
      --rose: #b78696;
      --yellow: #efd65c;
      --warm-grey: #8c8581;

      --bg: #f3f0ed;
      --surface: #ffffff;
      --surface-soft: #edf4ef;
      --accent: var(--coral);
      --accent-soft: var(--rose);
      --text: var(--brown);
      --muted: #68615e;
      --border: #c8c0bb;
      --border-soft: #e2dcd8;
    }

    * { box-sizing: border-box; margin: 0; padding: 0; }

    body {
      font-family: "Montserrat", Arial, sans-serif;
      background:
        radial-gradient(ellipse 55% 40% at 0% 0%, rgba(191, 221, 231, 0.72), transparent 62%),
        radial-gradient(ellipse 48% 38% at 100% 100%, rgba(170, 185, 164, 0.45), transparent 58%),
        var(--bg);
      color: var(--text);
      min-height: 100vh;
      padding: 1.5rem 1rem 2.5rem;
    }

    .page {
      max-width: 960px;
      margin: 0 auto;
    }

    .brand {
      text-align: left;
      margin-bottom: 2.4rem;
    }

    .brand__logo {
      display: block;
      width: min(138px, 36vw);
      height: auto;
      margin: 0;
    }

    h1 {
      text-align: center;
      font-size: clamp(1.35rem, 4vw, 1.75rem);
      font-weight: 900;
      letter-spacing: -0.035em;
      text-transform: uppercase;
      margin-bottom: 1.5rem;
      color: var(--brown);
    }

    .card {
      background: var(--surface);
      border: 1.5px solid var(--border-soft);
      border-radius: 20px;
      padding: 1.25rem 1.2rem 1.4rem;
      margin-bottom: 1.1rem;
      box-shadow: 0 10px 30px rgba(43, 29, 24, 0.06);
    }

    .inputs {
      display: grid;
      grid-template-columns: 1fr 1fr;
      gap: 0.9rem 1rem;
    }

    @media (max-width: 640px) {
      .inputs { grid-template-columns: 1fr; }
    }

    .field {
      display: flex;
      flex-direction: column;
      gap: 0.35rem;
    }

    .field label {
      font-size: 0.72rem;
      font-weight: 700;
      letter-spacing: 0.08em;
      text-transform: uppercase;
      color: var(--coral);
    }

    .field input {
      border: 1.5px solid var(--border);
      border-radius: 12px;
      padding: 0.75rem 0.9rem;
      font-size: 1rem;
      font-family: inherit;
      color: var(--text);
      background: var(--surface);
      outline: none;
      -webkit-appearance: none;
    }

    .field input:focus {
      border-color: var(--rose);
      box-shadow: 0 0 0 3px rgba(183, 134, 150, 0.22);
    }

    .field input:disabled {
      background: var(--surface-soft);
      color: var(--brown);
      font-weight: 700;
    }

    .bmi-formula {
      font-size: 0.8rem;
      color: var(--muted);
      line-height: 1.4;
      align-self: end;
      padding-bottom: 0.15rem;
    }

    .category-box {
      display: none;
      margin-top: 1rem;
      padding: 0.95rem 1rem;
      background: linear-gradient(135deg, rgba(191, 221, 231, 0.62), rgba(170, 185, 164, 0.38));
      border-radius: 14px;
      border: 1px solid var(--border-soft);
    }

    .category-box.is-visible { display: block; }

    .category-box__title {
      font-weight: 700;
      font-size: 0.95rem;
      color: var(--coral);
      margin-bottom: 0.35rem;
    }

    .category-box__meta {
      font-size: 0.86rem;
      color: var(--muted);
      line-height: 1.45;
    }

    .table-wrap {
      overflow-x: auto;
      -webkit-overflow-scrolling: touch;
      border: 1.5px solid var(--border-soft);
      border-radius: 16px;
      background: var(--surface);
      margin-bottom: 1.1rem;
      box-shadow: 0 10px 30px rgba(43, 29, 24, 0.05);
    }

    .table-wrap.is-empty {
      opacity: 0.55;
    }

    .hint {
      text-align: center;
      font-size: 0.88rem;
      color: var(--muted);
      padding: 1.4rem 1rem;
    }

    .weigh-tip {
      margin: 0 0 0.85rem;
      padding: 0.85rem 1rem;
      background: var(--surface);
      border: 1.5px solid var(--border-soft);
      border-radius: 14px;
      font-size: 0.9rem;
      line-height: 1.45;
      color: var(--brown);
      box-shadow: 0 8px 24px rgba(43, 29, 24, 0.04);
    }

    table {
      width: 100%;
      border-collapse: collapse;
      min-width: 720px;
      table-layout: fixed;
    }

    th, td {
      border: 1px solid var(--border-soft);
      text-align: center;
      padding: 0.45rem 0.25rem;
      font-size: 0.78rem;
      vertical-align: middle;
    }

    th:first-child,
    td:first-child {
      position: sticky;
      left: 0;
      z-index: 2;
      background: var(--surface);
      text-align: left;
      padding-left: 0.7rem;
      padding-right: 0.55rem;
      font-weight: 700;
      font-size: 0.72rem;
      letter-spacing: 0.02em;
      width: 110px;
      min-width: 110px;
    }

    thead th {
      background: var(--surface-soft);
      font-size: 0.7rem;
      font-weight: 700;
      color: var(--brown);
    }

    thead th:first-child {
      background: var(--surface-soft);
      z-index: 3;
    }

    .row-label {
      text-transform: uppercase;
      color: var(--coral);
      line-height: 1.25;
    }

    .norm-cell {
      font-weight: 600;
      color: var(--text);
    }

    .norm-cell small {
      display: block;
      font-weight: 500;
      color: var(--warm-grey);
      font-size: 0.65rem;
      margin-top: 1px;
    }

    .my-weight input {
      width: 100%;
      max-width: 52px;
      margin: 0 auto;
      display: block;
      border: 1px solid var(--border);
      border-radius: 8px;
      padding: 0.35rem 0.2rem;
      text-align: center;
      font-size: 0.78rem;
      font-family: inherit;
      background: var(--surface);
      color: var(--brown);
      outline: none;
      -webkit-appearance: none;
    }

    .my-weight input:focus {
      border-color: var(--rose);
      box-shadow: 0 0 0 2px rgba(183, 134, 150, 0.24);
    }

    .my-gain-cell {
      font-weight: 700;
      color: var(--coral);
    }

    .my-gain-cell.is-empty {
      color: var(--warm-grey);
      font-weight: 500;
    }

    .quote {
      background: var(--surface);
      border-left: 4px solid var(--yellow);
      border-radius: 0 14px 14px 0;
      padding: 1rem 1.1rem;
      font-size: 0.92rem;
      line-height: 1.5;
      color: var(--muted);
      box-shadow: 0 8px 24px rgba(43, 29, 24, 0.04);
    }

    .quote strong {
      color: var(--brown);
      font-weight: 600;
    }
  </style>
</head>
<body>
  <div class="page">
    <div class="brand">
      <img class="brand__logo" 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" alt="#sekta — курс для беременных">
    </div>

    <h1>Дневник прибавки веса</h1>

    <section class="card">
      <div class="inputs">
        <div class="field">
          <label for="height">Рост (см)</label>
          <input type="text" inputmode="decimal" id="height" placeholder="например, 165" autocomplete="off">
        </div>
        <div class="field">
          <label for="weight">Вес до беременности (кг)</label>
          <input type="text" inputmode="decimal" id="weight" placeholder="например, 60" autocomplete="off">
        </div>
        <div class="field">
          <label for="bmi">ИМТ</label>
          <input type="text" id="bmi" disabled placeholder="—" value="">
        </div>
        <p class="bmi-formula">ИМТ = вес (кг) / рост² (в метрах)</p>
      </div>

      <div class="category-box" id="categoryBox">
        <div class="category-box__title" id="categoryTitle"></div>
        <div class="category-box__meta" id="categoryMeta"></div>
      </div>
    </section>

    <p class="weigh-tip">Взвешивайся каждые две недели в одно и то же время — например, утром по понедельникам — и записывай текущий вес в таблицу. Прибавка посчитается сама.</p>

    <div class="table-wrap is-empty" id="tableWrap">
      <p class="hint" id="emptyHint">Введи рост и вес до беременности — появится норма прибавки под твой ИМТ.</p>
      <table id="gainTable" hidden>
        <thead>
          <tr>
            <th>Неделя<br>беременности</th>
            <!-- weeks injected -->
          </tr>
        </thead>
        <tbody>
          <tr id="normRow">
            <td class="row-label">Норма<br>прибавки</td>
          </tr>
          <tr id="weightRow" class="my-weight">
            <td class="row-label">Мой<br>вес</td>
          </tr>
          <tr id="gainRow">
            <td class="row-label">Моя<br>прибавка</td>
          </tr>
        </tbody>
      </table>
    </div>

    <blockquote class="quote">
      <strong>Нормально, если твоя прибавка в весе будет немного отличаться от значений в таблице.</strong>
      Дневник нужен не для контроля каждого грамма, а чтобы видеть общую динамику.
    </blockquote>
  </div>

  <script>
    (function () {
      const WEEKS = [12, 14, 16, 18, 20, 22, 24, 26, 28, 30, 32, 34, 36, 38, 40];
      const STORAGE_KEYS = {
        height: 'sektamama_gain_height',
        weight: 'sektamama_gain_weight',
        myWeights: 'sektamama_gain_weights'
      };

      // Категории по ИМТ (ИОМ / типовые ориентиры)
      // weeklyMain — основная недельная прибавка во II–III триместре
      // weeklyRange — допустимый коридор
      // totalRange — ориентир за всю беременность
      const CATEGORIES = [
        {
          id: 'under',
          name: 'Недостаток массы тела',
          match: (bmi) => bmi < 18.5,
          label: 'ИМТ < 18,5',
          totalRange: [12.5, 18],
          weeklyMain: 0.45,
          weeklyRange: [0.45, 0.58]
        },
        {
          id: 'normal',
          name: 'Нормальная масса тела',
          match: (bmi) => bmi >= 18.5 && bmi <= 24.9,
          label: 'ИМТ 18,5–24,9',
          totalRange: [11.5, 16],
          weeklyMain: 0.45,
          weeklyRange: [0.35, 0.45]
        },
        {
          id: 'over',
          name: 'Избыток массы тела',
          match: (bmi) => bmi >= 25.0 && bmi <= 29.9,
          label: 'ИМТ 25,0–29,9',
          totalRange: [7, 11.5],
          weeklyMain: 0.27,
          weeklyRange: [0.23, 0.30]
        },
        {
          id: 'obese',
          name: 'Ожирение',
          match: (bmi) => bmi >= 30.0,
          label: 'ИМТ ≥ 30,0',
          totalRange: [5, 9],
          weeklyMain: 0.23,
          weeklyRange: [0.18, 0.27]
        }
      ];

      const heightInput = document.getElementById('height');
      const weightInput = document.getElementById('weight');
      const bmiInput = document.getElementById('bmi');
      const categoryBox = document.getElementById('categoryBox');
      const categoryTitle = document.getElementById('categoryTitle');
      const categoryMeta = document.getElementById('categoryMeta');
      const tableWrap = document.getElementById('tableWrap');
      const emptyHint = document.getElementById('emptyHint');
      const gainTable = document.getElementById('gainTable');
      const normRow = document.getElementById('normRow');
      const weightRow = document.getElementById('weightRow');
      const gainRow = document.getElementById('gainRow');
      const headRow = gainTable.querySelector('thead tr');

      function parseNum(value) {
        if (value === null || value === undefined) return NaN;
        const n = String(value).trim().replace(/\s+/g, '').replace(',', '.');
        if (n === '') return NaN;
        return parseFloat(n);
      }

      function formatKg(n) {
        const rounded = Math.round(n * 10) / 10;
        return String(rounded).replace('.', ',');
      }

      function getCategory(bmi) {
        return CATEGORIES.find((c) => c.match(bmi)) || null;
      }

      /**
       * Кумулятивная норма к неделе pregnancyWeek.
       * Логика: I триместр (до 13 нед.) — мягкий старт;
       * с 13-й недели — weekly rate так, чтобы к 40-й попасть в середину totalRange.
       * Также считаем коридор min/max по weeklyRange.
       */
      function buildCurve(cat) {
        const midTotal = (cat.totalRange[0] + cat.totalRange[1]) / 2;
        const weeksAfterT1 = 40 - 13; // 27

        let firstMid = midTotal - cat.weeklyMain * weeksAfterT1;
        firstMid = Math.min(3.2, Math.max(0.5, firstMid));
        const adjWeekly = (midTotal - firstMid) / weeksAfterT1;

        let firstMin = cat.totalRange[0] - cat.weeklyRange[1] * weeksAfterT1;
        let firstMax = cat.totalRange[1] - cat.weeklyRange[0] * weeksAfterT1;
        firstMin = Math.min(firstMid, Math.max(0.4, firstMin));
        firstMax = Math.max(firstMid, Math.min(3.5, firstMax));

        const weeklyMin = (cat.totalRange[0] - firstMin) / weeksAfterT1;
        const weeklyMax = (cat.totalRange[1] - firstMax) / weeksAfterT1;

        function at(week) {
          if (week <= 13) {
            const t = week / 13;
            return {
              mid: firstMid * t,
              min: firstMin * t,
              max: firstMax * t
            };
          }
          const after = week - 13;
          return {
            mid: firstMid + adjWeekly * after,
            min: firstMin + weeklyMin * after,
            max: firstMax + weeklyMax * after
          };
        }

        return { at, firstMid, adjWeekly };
      }

      function loadMyWeights() {
        try {
          const raw = localStorage.getItem(STORAGE_KEYS.myWeights);
          if (!raw) return {};
          const parsed = JSON.parse(raw);
          return parsed && typeof parsed === 'object' ? parsed : {};
        } catch (e) {
          return {};
        }
      }

      function saveMyWeights(map) {
        try {
          localStorage.setItem(STORAGE_KEYS.myWeights, JSON.stringify(map));
        } catch (e) {}
      }

      function saveInputs() {
        try {
          if (heightInput.value) localStorage.setItem(STORAGE_KEYS.height, heightInput.value);
          else localStorage.removeItem(STORAGE_KEYS.height);
          if (weightInput.value) localStorage.setItem(STORAGE_KEYS.weight, weightInput.value);
          else localStorage.removeItem(STORAGE_KEYS.weight);
        } catch (e) {}
      }

      function loadInputs() {
        try {
          const h = localStorage.getItem(STORAGE_KEYS.height);
          const w = localStorage.getItem(STORAGE_KEYS.weight);
          if (h) heightInput.value = h;
          if (w) weightInput.value = w;
        } catch (e) {}
      }

      function updateGainCells() {
        const baseWeight = parseNum(weightInput.value);
        gainRow.querySelectorAll('.my-gain-cell').forEach((cell) => {
          const week = cell.dataset.week;
          const input = weightRow.querySelector('input[data-week="' + week + '"]');
          const current = input ? parseNum(input.value) : NaN;

          if (isNaN(baseWeight) || isNaN(current)) {
            cell.textContent = '—';
            cell.classList.add('is-empty');
            return;
          }

          const gain = current - baseWeight;
          const sign = gain > 0 ? '+' : '';
          cell.textContent = sign + formatKg(gain);
          cell.classList.remove('is-empty');
        });
      }

      function buildTableChrome() {
        WEEKS.forEach((week) => {
          const th = document.createElement('th');
          th.textContent = String(week);
          headRow.appendChild(th);

          const tdNorm = document.createElement('td');
          tdNorm.className = 'norm-cell';
          tdNorm.dataset.week = String(week);
          normRow.appendChild(tdNorm);

          const tdWeight = document.createElement('td');
          const input = document.createElement('input');
          input.type = 'text';
          input.inputMode = 'decimal';
          input.dataset.week = String(week);
          input.setAttribute('aria-label', 'Мой вес на ' + week + ' неделе');
          input.placeholder = '—';
          tdWeight.appendChild(input);
          weightRow.appendChild(tdWeight);

          const tdGain = document.createElement('td');
          tdGain.className = 'my-gain-cell is-empty';
          tdGain.dataset.week = String(week);
          tdGain.textContent = '—';
          gainRow.appendChild(tdGain);
        });

        const weights = loadMyWeights();
        weightRow.querySelectorAll('input').forEach((input) => {
          const week = input.dataset.week;
          if (weights[week] !== undefined && weights[week] !== '') {
            input.value = weights[week];
          }
          input.addEventListener('input', () => {
            const map = loadMyWeights();
            const v = input.value.trim();
            if (v === '') delete map[week];
            else map[week] = v;
            saveMyWeights(map);
            updateGainCells();
          });
        });
      }

      function render() {
        const heightCm = parseNum(heightInput.value);
        const weightKg = parseNum(weightInput.value);
        saveInputs();
        updateGainCells();

        if (isNaN(heightCm) || heightCm < 100 || heightCm > 220 ||
            isNaN(weightKg) || weightKg < 35 || weightKg > 200) {
          bmiInput.value = '';
          categoryBox.classList.remove('is-visible');
          gainTable.hidden = true;
          emptyHint.hidden = false;
          tableWrap.classList.add('is-empty');
          return;
        }

        const heightM = heightCm / 100;
        const bmi = weightKg / (heightM * heightM);
        const bmiRounded = Math.round(bmi * 10) / 10;
        bmiInput.value = String(bmiRounded).replace('.', ',');

        const cat = getCategory(bmi);
        if (!cat) return;

        categoryTitle.textContent = cat.name + ' (' + cat.label + ')';
        categoryMeta.innerHTML =
          'Рекомендуемая прибавка за беременность: <strong>' +
          formatKg(cat.totalRange[0]) + '–' + formatKg(cat.totalRange[1]) + ' кг</strong>. ' +
          'Ориентир прибавки в неделю: <strong>~' +
          formatKg(cat.weeklyMain) + ' кг/нед</strong> (' +
          formatKg(cat.weeklyRange[0]) + '–' + formatKg(cat.weeklyRange[1]) + ' кг).';
        categoryBox.classList.add('is-visible');

        const curve = buildCurve(cat);
        normRow.querySelectorAll('.norm-cell').forEach((cell) => {
          const week = Number(cell.dataset.week);
          const point = curve.at(week);
          cell.innerHTML = formatKg(point.mid) + '<small>' + formatKg(point.min) + '–' + formatKg(point.max) + '</small>';
        });

        emptyHint.hidden = true;
        gainTable.hidden = false;
        tableWrap.classList.remove('is-empty');
      }

      buildTableChrome();
      loadInputs();
      heightInput.addEventListener('input', render);
      weightInput.addEventListener('input', render);
      render();
    })();
  </script>
</body>
</html>
sekta / marketing / course-files/pregnant2026/dnevnik.html
