const { useState, useEffect, useCallback } = React;

// ---------- Design tokens (matches the EPHS website: navy / white / red, refreshed with a gold accent) ----------
const NAVY = "#16223f";
const NAVY_2 = "#1f3159";
const NAVY_DEEP = "#0d1730";
const RED = "#c22030";
const GOLD = "#c9973f";
const GOLD_LIGHT = "#e8c584";
const PAPER = "#f4f6fb";
const LINE = "rgba(22,34,63,0.14)";
const NAVY_GRADIENT = `linear-gradient(135deg, ${NAVY_DEEP} 0%, ${NAVY} 55%, ${NAVY_2} 100%)`;
const CARD_SHADOW = "0 1px 3px rgba(13,23,48,0.06), 0 8px 24px rgba(13,23,48,0.06)";
const CARD_SHADOW_HOVER = "0 2px 6px rgba(13,23,48,0.10), 0 14px 34px rgba(13,23,48,0.10)";

const DEFAULT_CLASSES = [
  "Creche", "Preschool", "Nursery 1", "Nursery 2",
  "Primary 1", "Primary 2", "Primary 3", "Primary 4", "Primary 5", "Primary 6",
  "JSS 1", "JSS 2", "JSS 3", "SS 1", "SS 2", "SS 3",
];
const SUBJECTS_DEFAULT = ["English Language", "Mathematics", "Basic Science", "Social Studies", "Verbal Reasoning"];
const TERMS = ["1st Term", "2nd Term", "3rd Term"];
const SESSIONS_DEFAULT = ["2025/2026"];

const GRADE_SCALE = [
  { min: 80, grade: "A", remark: "Excellent" },
  { min: 60, grade: "B", remark: "Very Good" },
  { min: 50, grade: "C", remark: "Good" },
  { min: 45, grade: "D", remark: "Pass" },
  { min: 40, grade: "E", remark: "Fair" },
  { min: 0, grade: "F", remark: "Fail" },
];
function gradeFor(score) {
  if (score === undefined || score === null || isNaN(score)) return null;
  return GRADE_SCALE.find(g => score >= g.min);
}

// A subject score is either a legacy plain number, or {ca, exam}. This always
// returns a total number (or undefined if nothing has been entered yet).
function scoreTotal(v) {
  if (v === undefined || v === null) return undefined;
  if (typeof v === "number") return v;
  const ca = v.ca === undefined || v.ca === null ? undefined : Number(v.ca);
  const exam = v.exam === undefined || v.exam === null ? undefined : Number(v.exam);
  if (ca === undefined && exam === undefined) return undefined;
  return (ca || 0) + (exam || 0);
}
function scoreCA(v) {
  if (v === undefined || v === null || typeof v === "number") return undefined;
  return v.ca;
}
function scoreExam(v) {
  if (v === undefined || v === null) return undefined;
  if (typeof v === "number") return v;
  return v.exam;
}
// Counts weekdays (Mon-Fri) between two ISO date strings, inclusive.
function countWeekdays(startStr, endStr) {
  if (!startStr || !endStr) return null;
  const start = new Date(startStr);
  const end = new Date(endStr);
  if (isNaN(start) || isNaN(end) || end < start) return null;
  let count = 0;
  const d = new Date(start);
  while (d <= end) {
    const day = d.getDay();
    if (day !== 0 && day !== 6) count++;
    d.setDate(d.getDate() + 1);
  }
  return count;
}
function subjectsFor(data, className) {
  return (data.subjectsByClass && data.subjectsByClass[className] && data.subjectsByClass[className].length)
    ? data.subjectsByClass[className]
    : SUBJECTS_DEFAULT;
}

const sb = window.supabase.createClient(
  "https://bsobuidmfclvgalywvrr.supabase.co",
  "sb_publishable_Qozl9ZJoYzL7B9wyIDwbYQ_HBMb57mc"
);
window.__portalLastError = null;
function reportError(context, err) {
  const msg = err && err.message ? err.message : (typeof err === "string" ? err : JSON.stringify(err));
  window.__portalLastError = `${context}: ${msg}`;
  console.error(window.__portalLastError);
}
async function safeGet(key) {
  try {
    const { data, error } = await sb.from("portal_kv").select("value").eq("key", key).maybeSingle();
    if (error) { reportError(`Load failed (${key})`, error); return null; }
    if (!data) return null;
    return data.value;
  } catch (e) {
    reportError(`Load crashed (${key})`, e);
    return null;
  }
}
async function safeSet(key, value) {
  try {
    const { error } = await sb.from("portal_kv").upsert({ key, value });
    if (error) { reportError(`Save failed (${key})`, error); return false; }
    return true;
  } catch (e) {
    reportError(`Save crashed (${key})`, e);
    return false;
  }
}

function Spinner() {
  return (
    <div style={{ minHeight: "100vh", display: "flex", alignItems: "center", justifyContent: "center", background: NAVY, color: "white" }}>
      <div className="animate-pulse font-serif text-lg">Loading portal…</div>
    </div>
  );
}

const LOGO_SRC = "data:image/png;base64,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";

function Crest({ size = 40 }) {
  return (
    <img
      src={LOGO_SRC}
      alt="EPHS crest"
      style={{ width: size, height: size, objectFit: "contain", flexShrink: 0 }}
    />
  );
}

function TopBar({ title, subtitle, onLogout }) {
  return (
    <div
      style={{ background: NAVY_GRADIENT, color: "white", borderBottom: `3px solid ${GOLD}`, boxShadow: "0 4px 18px rgba(13,23,48,0.25)" }}
      className="px-4 py-3.5 sm:px-6 flex items-center justify-between sticky top-0 z-20"
    >
      <div className="flex items-center gap-3">
        <div className="rounded-full p-1" style={{ background: "rgba(255,255,255,0.08)", boxShadow: `0 0 0 1px rgba(255,255,255,0.15)` }}>
          <Crest />
        </div>
        <div>
          <div className="font-serif text-base sm:text-lg leading-tight tracking-wide">{title}</div>
          {subtitle && <div className="text-xs mt-0.5" style={{ color: GOLD_LIGHT }}>{subtitle}</div>}
        </div>
      </div>
      <button
        onClick={onLogout}
        style={{ border: `1px solid rgba(255,255,255,0.35)`, background: "rgba(255,255,255,0.06)" }}
        className="text-xs sm:text-sm px-3.5 py-1.5 rounded-full hover:bg-white hover:text-[#16223f] transition font-semibold"
      >
        Log out
      </button>
    </div>
  );
}

function Field({ label, children }) {
  return (
    <div className="mb-3">
      <label className="block text-xs font-semibold uppercase tracking-wide mb-1" style={{ color: "rgba(22,34,63,0.6)" }}>{label}</label>
      {children}
    </div>
  );
}
const inputStyle = { border: `1px solid ${LINE}`, background: PAPER };
const inputCls = "w-full px-3 py-2 rounded text-sm focus:outline-none focus:ring-2";

function Button({ children, onClick, variant = "primary", type = "button", disabled }) {
  const base = "px-4 py-2 rounded-lg text-sm font-semibold transition disabled:opacity-50 active:scale-[0.98]";
  const styles = {
    primary: { background: NAVY_GRADIENT, color: "white", boxShadow: "0 2px 8px rgba(22,34,63,0.35)" },
    danger: { background: `linear-gradient(135deg, ${RED} 0%, #8f1826 100%)`, color: "white", boxShadow: "0 2px 8px rgba(194,32,48,0.35)" },
    ghost: { background: "white", color: NAVY, border: `1px solid ${LINE}` },
    gold: { background: `linear-gradient(135deg, ${GOLD_LIGHT} 0%, ${GOLD} 100%)`, color: NAVY_DEEP, boxShadow: "0 2px 8px rgba(201,151,63,0.35)" },
  };
  return (
    <button type={type} disabled={disabled} onClick={onClick} className={base} style={styles[variant]}>
      {children}
    </button>
  );
}

function Card({ children, style }) {
  return (
    <div
      style={{ background: "white", border: `1px solid ${LINE}`, borderRadius: 14, boxShadow: CARD_SHADOW, ...style }}
      className="p-4 sm:p-5"
    >
      {children}
    </div>
  );
}

// ================= LOGIN =================
function Login({ onLogin, data, initialRole, banner }) {
  const [role, setRole] = useState(initialRole || "student");
  const [id, setId] = useState("");
  const [pin, setPin] = useState("");
  const [error, setError] = useState("");

  const roles = [
    { key: "student", label: "Student / Parent" },
    { key: "teacher", label: "Staff" },
    { key: "admin", label: "Admin" },
  ];

  function submit(e) {
    e.preventDefault();
    setError("");
    const idT = id.trim();
    const pinT = pin.trim();
    if (!idT || !pinT) { setError("Enter your ID and PIN."); return; }

    if (role === "admin") {
      // Master fallback: always works, regardless of whatever is stored in the database.
      // This exists so the school can never be permanently locked out of Admin.
      if (idT.toUpperCase() === "MASTERADMIN" && pinT === "EPHS-2026-RESET") {
        onLogin({ role: "admin", id: idT, name: "Administrator (Master Login)" });
        return;
      }
      if (idT.toLowerCase() === data.admin.adminId.toLowerCase() && pinT === data.admin.pin) {
        onLogin({ role: "admin", id: idT, name: "Administrator" });
        return;
      }
      setError("Incorrect Admin ID or PIN.");
      return;
    }
    if (role === "teacher") {
      const staff = data.staff.find(s => s.staffId.toLowerCase() === idT.toLowerCase() && s.pin === pinT);
      if (staff) { onLogin({ role: "teacher", id: staff.staffId, name: staff.name, classes: staff.classes }); return; }
      setError("Incorrect Staff ID or PIN.");
      return;
    }
    const guardian = data.guardians.find(g => g.guardianId.toLowerCase() === idT.toLowerCase() && g.pin === pinT);
    if (guardian) { onLogin({ role: "guardian", id: guardian.guardianId, name: guardian.name, studentIds: guardian.studentIds }); return; }
    const student = data.students.find(s => s.admissionId.toLowerCase() === idT.toLowerCase() && s.pin === pinT);
    if (student) { onLogin({ role: "student", id: student.admissionId, name: student.name, class: student.class, gender: student.gender, age: student.age }); return; }
    setError("Incorrect Admission ID / Parent ID or PIN.");
  }

  return (
    <div style={{ minHeight: "100vh", background: NAVY_GRADIENT }} className="flex items-center justify-center px-4 py-10">
      <div className="w-full max-w-sm">
        <div className="flex flex-col items-center mb-6 text-white">
          <div className="rounded-full p-2 mb-1" style={{ background: "rgba(255,255,255,0.07)", boxShadow: `0 0 0 1px rgba(255,255,255,0.18)` }}>
            <Crest size={64} />
          </div>
          <div className="font-serif text-xl mt-3 text-center">Excellent Potter's Height School</div>
          <div className="text-xs uppercase tracking-widest mt-1 font-semibold" style={{ color: GOLD_LIGHT }}>Student &amp; Staff Portal</div>
        </div>
        {banner && (
          <div className="mb-4 p-3 rounded-lg text-sm text-center" style={{ background: "white", color: NAVY, border: `1px solid ${LINE}` }}>
            {banner}
          </div>
        )}
        <Card style={{ boxShadow: "0 10px 40px rgba(0,0,0,0.35)" }}>
          <div className="flex mb-4 rounded-lg overflow-hidden" style={{ border: `1px solid ${LINE}` }}>
            {roles.map(r => (
              <button
                key={r.key}
                onClick={() => { setRole(r.key); setError(""); }}
                className="flex-1 py-2 text-xs font-semibold transition"
                style={role === r.key ? { background: NAVY_GRADIENT, color: "white" } : { background: "white", color: NAVY }}
              >
                {r.label}
              </button>
            ))}
          </div>
          <form onSubmit={submit}>
            <Field label={role === "student" ? "Admission ID (or Parent ID)" : role === "teacher" ? "Staff ID" : "Admin ID"}>
              <input className={inputCls} style={inputStyle} value={id} onChange={e => setId(e.target.value)} autoComplete="off" />
            </Field>
            <Field label="PIN">
              <input type="password" className={inputCls} style={inputStyle} value={pin} onChange={e => setPin(e.target.value)} />
            </Field>
            {error && <div className="text-xs mb-3" style={{ color: RED }}>{error}</div>}
            <Button type="submit" onClick={submit}>Log in</Button>
          </form>
        </Card>
        <p className="text-center text-xs mt-4" style={{ color: "rgba(255,255,255,0.5)" }}>
          Default admin login: <span className="font-mono">ADMIN</span> / <span className="font-mono">0000</span> — change this after first login.
        </p>
      </div>
    </div>
  );
}

// ================= ADMIN DASHBOARD =================
function AdminDashboard({ data, setData, save }) {
  const [tab, setTab] = useState("students");
  const tabs = [
    { key: "overview", label: "Overview" },
    { key: "students", label: "Students" },
    { key: "reportcards", label: "Report Cards" },
    { key: "guardians", label: "Guardians" },
    { key: "staff", label: "Staff" },
    { key: "classes", label: "Classes" },
    { key: "sessions", label: "Sessions" },
    { key: "termdates", label: "Term Dates" },
    { key: "fees", label: "Fees" },
    { key: "letters", label: "Admission Letters" },
    { key: "inquiries", label: "Admission Inquiries" },
    { key: "qrcodes", label: "QR Codes" },
    { key: "settings", label: "Admin PIN" },
  ];

  return (
    <div style={{ background: PAPER, minHeight: "100vh" }}>
      <TopBar title="Admin Dashboard" subtitle="Excellent Potter's Height School" onLogout={data.onLogout} />
      <div className="max-w-5xl mx-auto p-4">
        <div className="flex gap-1.5 mb-5 flex-wrap">
          {tabs.map(t => (
            <button key={t.key} onClick={() => setTab(t.key)}
              className="px-3.5 py-1.5 text-xs font-semibold rounded-full transition"
              style={tab === t.key
                ? { background: NAVY_GRADIENT, color: "white", boxShadow: "0 2px 8px rgba(22,34,63,0.3)" }
                : { background: "white", color: NAVY, border: `1px solid ${LINE}`, boxShadow: CARD_SHADOW }}>
              {t.label}
            </button>
          ))}
        </div>
        {tab === "overview" && <AdminOverviewPanel data={data} setData={setData} save={save} />}
        {tab === "students" && <StudentsPanel data={data} setData={setData} save={save} />}
        {tab === "reportcards" && <AdminReportCardsPanel data={data} />}
        {tab === "guardians" && <GuardiansPanel data={data} setData={setData} save={save} />}
        {tab === "staff" && <StaffPanel data={data} setData={setData} save={save} />}
        {tab === "classes" && <ClassesPanel data={data} setData={setData} save={save} />}
        {tab === "sessions" && <SessionsPanel data={data} setData={setData} save={save} />}
        {tab === "termdates" && <TermDatesPanel data={data} setData={setData} save={save} />}
        {tab === "fees" && <FeesPanel data={data} setData={setData} save={save} isAdmin />}
        {tab === "letters" && <AdmissionLettersPanel data={data} setData={setData} save={save} />}
        {tab === "inquiries" && <AdmissionInquiriesPanel data={data} setData={setData} save={save} />}
        {tab === "qrcodes" && <QRCodesPanel data={data} setData={setData} save={save} />}
        {tab === "settings" && <AdminSettingsPanel data={data} setData={setData} save={save} />}
      </div>
    </div>
  );
}

function AdminReportCardsPanel({ data }) {
  const [studentId, setStudentId] = useState(data.students[0] && data.students[0].admissionId || "");
  const student = data.students.find(s => s.admissionId === studentId);

  return (
    <div className="grid gap-4">
      <Card>
        <h3 className="font-serif text-lg mb-3" style={{ color: NAVY }}>Download / Print a Student's Result</h3>
        <Field label="Student">
          <select className={inputCls} style={inputStyle} value={studentId} onChange={e => setStudentId(e.target.value)}>
            {data.students.map(s => <option key={s.admissionId} value={s.admissionId}>{s.name} ({s.admissionId}) — {s.class}</option>)}
          </select>
        </Field>
        <p className="text-xs" style={{ color: "rgba(22,34,63,0.55)" }}>
          Choose a student, then switch term/session below and use "Print / Save as PDF" to download or print their report card.
        </p>
      </Card>
      {student && (
        <Card>
          <ReportCard student={{ id: student.admissionId, name: student.name, class: student.class, gender: student.gender, age: student.age }} data={data} />
        </Card>
      )}
    </div>
  );
}

function CommentRow({ student, acadSession, term, data, setData, save }) {
  const key = `${student.admissionId}::${acadSession}::${term}`;
  const existing = data.comments[key] || { comment: "", signature: "" };
  const [comment, setComment] = useState(existing.comment);
  const [signature, setSignature] = useState(existing.signature);
  const [savedFlag, setSavedFlag] = useState(false);
  const [showPreview, setShowPreview] = useState(false);

  const resultEntry = data.results[key] || {};
  const rows = Object.entries(resultEntry).filter(([, v]) => scoreTotal(v) !== undefined);
  const scores = rows.map(([, v]) => scoreTotal(v));
  const avg = scores.length ? Math.round((scores.reduce((a, b) => a + b, 0) / scores.length) * 10) / 10 : null;

  async function saveNow() {
    const next = { ...data.comments, [key]: { comment, signature, date: new Date().toISOString().slice(0, 10) } };
    setData(d => ({ ...d, comments: next }));
    await save("portal:comments", next);
    setSavedFlag(true);
    setTimeout(() => setSavedFlag(false), 1500);
  }

  return (
    <div className="p-3 rounded" style={{ background: PAPER, border: `1px solid ${LINE}` }}>
      <div className="flex items-center justify-between mb-2">
        <div className="text-sm font-semibold">{student.name}</div>
        <button type="button" onClick={() => setShowPreview(v => !v)} className="text-xs underline" style={{ color: NAVY }}>
          {showPreview ? "Hide" : "Preview"} Full Result{avg !== null ? ` (Avg ${avg}%)` : ""}
        </button>
      </div>
      {showPreview && (
        <div className="mb-3 p-2 rounded text-xs" style={{ background: "white", border: `1px solid ${LINE}` }}>
          {rows.length === 0 ? (
            <p style={{ color: "rgba(22,34,63,0.5)" }}>No scores entered yet for {term}.</p>
          ) : (
            rows.map(([subj, v]) => {
              const total = scoreTotal(v);
              return (
                <div key={subj} className="flex justify-between py-0.5">
                  <span>{subj}</span>
                  <span className="font-semibold" style={{ color: total >= 50 ? NAVY : RED }}>
                    {scoreCA(v) ?? "—"} + {scoreExam(v) ?? "—"} = {total}
                  </span>
                </div>
              );
            })
          )}
        </div>
      )}
      <textarea
        className="w-full text-sm px-3 py-2 rounded mb-2"
        style={{ ...inputStyle, background: "white" }}
        rows={2}
        placeholder="Comment for this term's report card…"
        value={comment}
        onChange={e => setComment(e.target.value)}
      />
      <div className="flex items-center gap-2">
        <input
          className="flex-1 text-sm px-3 py-1.5 rounded"
          style={{ ...inputStyle, background: "white" }}
          placeholder="Signed (e.g. your name / title)"
          value={signature}
          onChange={e => setSignature(e.target.value)}
        />
        <Button onClick={saveNow}>{savedFlag ? "Saved ✓" : "Save"}</Button>
      </div>
    </div>
  );
}

function TermInfoRow({ activeClass, acadSession, term, data, setData, save }) {
  const key = `${activeClass}::${acadSession}::${term}`;
  const existing = data.termInfo[key] || { schoolOpened: "", nextTermBegins: "" };
  const [schoolOpened, setSchoolOpened] = useState(existing.schoolOpened);
  const [nextTermBegins, setNextTermBegins] = useState(existing.nextTermBegins);
  const [savedFlag, setSavedFlag] = useState(false);

  useEffect(() => {
    const e = data.termInfo[key] || { schoolOpened: "", nextTermBegins: "" };
    setSchoolOpened(e.schoolOpened);
    setNextTermBegins(e.nextTermBegins);
    // eslint-disable-next-line
  }, [key]);

  async function saveNow() {
    const next = { ...data.termInfo, [key]: { schoolOpened, nextTermBegins } };
    setData(d => ({ ...d, termInfo: next }));
    await save("portal:termInfo", next);
    setSavedFlag(true);
    setTimeout(() => setSavedFlag(false), 1500);
  }

  const termDateKey = `${acadSession}::${term}`;
  const termDateEntry = data.termDates[termDateKey];
  const calculatedDays = termDateEntry ? countWeekdays(termDateEntry.resumption, termDateEntry.vacation) : null;

  return (
    <div className="mt-4 p-3 rounded" style={{ background: PAPER, border: `1px solid ${LINE}` }}>
      <div className="text-sm font-semibold mb-2" style={{ color: NAVY }}>Term Info — {activeClass}, {acadSession}, {term}</div>
      <div className="flex flex-wrap gap-3 items-end">
        <Field label="Times School Opened">
          <input type="number" min="0" className="w-36 text-sm px-2 py-1.5 rounded" style={{ ...inputStyle, background: "white" }}
            value={schoolOpened} onChange={e => setSchoolOpened(e.target.value)} />
        </Field>
        <Field label="Next Term Begins">
          <input type="date" className="text-sm px-2 py-1.5 rounded" style={{ ...inputStyle, background: "white" }}
            value={nextTermBegins} onChange={e => setNextTermBegins(e.target.value)} />
        </Field>
        <Button onClick={saveNow}>{savedFlag ? "Saved ✓" : "Save"}</Button>
      </div>
      {calculatedDays !== null && (
        <p className="text-xs mt-2" style={{ color: NAVY }}>
          Term Dates say this term has ≈ {calculatedDays} school days.
          <button type="button" onClick={() => setSchoolOpened(String(calculatedDays))} className="underline ml-1">Use this number</button>
        </p>
      )}
      <p className="text-xs mt-2" style={{ color: "rgba(22,34,63,0.5)" }}>These appear on every student's report card for this class, session, and term.</p>
    </div>
  );
}

function AdminOverviewPanel({ data, setData, save }) {
  const [activeClass, setActiveClass] = useState(data.classes[0] || "");
  const [subTab, setSubTab] = useState("attendance");
  const [date, setDate] = useState(new Date().toISOString().slice(0, 10));
  const [acadSession, setAcadSession] = useState(data.sessions[0] || "");
  const [term, setTerm] = useState(TERMS[0]);
  const subjectList = subjectsFor(data, activeClass);
  const [subject, setSubject] = useState(subjectList[0]);

  useEffect(() => {
    const list = subjectsFor(data, activeClass);
    if (!list.includes(subject)) setSubject(list[0]);
    // eslint-disable-next-line
  }, [activeClass]);

  const classStudents = data.students.filter(s => s.class === activeClass);
  const attKey = `${activeClass}::${date}`;
  const attRecord = data.attendance[attKey] || {};

  let present = 0, absent = 0, unmarked = 0;
  classStudents.forEach(s => {
    const st = attRecord[s.admissionId];
    if (st === "present") present++;
    else if (st === "absent") absent++;
    else unmarked++;
  });

  async function setCA(admissionId, val) {
    const key = `${admissionId}::${acadSession}::${term}`;
    const existing = data.results[key] || {};
    const prev = existing[subject];
    const prevObj = typeof prev === "number" ? { ca: undefined, exam: prev } : (prev || {});
    const nextEntry = { ...existing, [subject]: { ...prevObj, ca: val === "" ? undefined : Number(val) } };
    const next = { ...data.results, [key]: nextEntry };
    setData(d => ({ ...d, results: next }));
    await save("portal:results", next);
  }
  async function setExam(admissionId, val) {
    const key = `${admissionId}::${acadSession}::${term}`;
    const existing = data.results[key] || {};
    const prev = existing[subject];
    const prevObj = typeof prev === "number" ? { ca: undefined, exam: undefined } : (prev || {});
    const nextEntry = { ...existing, [subject]: { ...prevObj, exam: val === "" ? undefined : Number(val) } };
    const next = { ...data.results, [key]: nextEntry };
    setData(d => ({ ...d, results: next }));
    await save("portal:results", next);
  }

  return (
    <Card>
      <div className="flex flex-wrap items-center gap-2 mb-4">
        <h3 className="font-serif text-lg mr-auto" style={{ color: NAVY }}>Class Overview <span className="text-xs font-sans font-normal" style={{ color: "rgba(22,34,63,0.5)" }}>(attendance view-only · results editable)</span></h3>
        <select className="text-xs px-2 py-1 rounded" style={inputStyle} value={activeClass} onChange={e => setActiveClass(e.target.value)}>
          {data.classes.map(c => <option key={c}>{c}</option>)}
        </select>
        <div className="flex gap-1">
          {["attendance", "results"].map(t => (
            <button key={t} onClick={() => setSubTab(t)}
              className="px-3 py-1.5 text-xs font-semibold rounded capitalize"
              style={subTab === t ? { background: NAVY, color: "white" } : { background: "white", color: NAVY, border: `1px solid ${LINE}` }}>
              {t}
            </button>
          ))}
        </div>
      </div>

      {classStudents.length === 0 && <p className="text-sm" style={{ color: "rgba(22,34,63,0.5)" }}>No students in this class yet.</p>}

      {subTab === "attendance" && classStudents.length > 0 && (
        <>
          <div className="flex items-center flex-wrap gap-3 mb-3">
            <input type="date" className="text-xs px-2 py-1 rounded" style={inputStyle} value={date} onChange={e => setDate(e.target.value)} />
            <span className="text-xs" style={{ color: "rgba(22,34,63,0.55)" }}>
              {present} present · {absent} absent · {unmarked} not yet marked
            </span>
          </div>
          <div className="space-y-1">
            {classStudents.map(s => {
              const st = attRecord[s.admissionId];
              return (
                <div key={s.admissionId} className="flex items-center justify-between py-2 border-b text-sm" style={{ borderColor: LINE }}>
                  <span>{s.name}</span>
                  <span className="text-xs px-2 py-0.5 rounded font-semibold"
                    style={st === "present" ? { background: "rgba(22,34,63,0.08)", color: NAVY }
                      : st === "absent" ? { background: "rgba(194,32,48,0.1)", color: RED }
                      : { background: PAPER, color: "rgba(22,34,63,0.4)", border: `1px solid ${LINE}` }}>
                    {st === "present" ? "Present" : st === "absent" ? "Absent" : "Not marked"}
                  </span>
                </div>
              );
            })}
          </div>
        </>
      )}

      {subTab === "results" && classStudents.length > 0 && (
        <>
          <div className="flex items-center flex-wrap gap-2 mb-3">
            <select className="text-xs px-2 py-1 rounded" style={inputStyle} value={acadSession} onChange={e => setAcadSession(e.target.value)}>
              {data.sessions.map(sess => <option key={sess}>{sess}</option>)}
            </select>
            <select className="text-xs px-2 py-1 rounded" style={inputStyle} value={term} onChange={e => setTerm(e.target.value)}>
              {TERMS.map(t => <option key={t}>{t}</option>)}
            </select>
            <select className="text-xs px-2 py-1 rounded" style={inputStyle} value={subject} onChange={e => setSubject(e.target.value)}>
              {subjectList.map(s => <option key={s}>{s}</option>)}
            </select>
          </div>
          <div className="space-y-1">
            <div className="flex justify-between py-1.5 text-xs font-semibold uppercase tracking-wide" style={{ color: "rgba(22,34,63,0.5)" }}>
              <span>Student</span>
              <span className="flex gap-2"><span className="w-16 text-center">C/A</span><span className="w-16 text-center">Exam</span><span className="w-16 text-center">Total</span></span>
            </div>
            {classStudents.map(s => {
              const entry = data.results[`${s.admissionId}::${acadSession}::${term}`] || {};
              const v = entry[subject];
              const ca = scoreCA(v);
              const exam = scoreExam(v);
              const total = scoreTotal(v);
              return (
                <div key={s.admissionId} className="flex items-center justify-between py-2 border-b text-sm" style={{ borderColor: LINE }}>
                  <span>{s.name}</span>
                  <span className="flex gap-2">
                    <input type="number" min="0" max="40" placeholder="C/A"
                      defaultValue={ca ?? ""}
                      onBlur={e => setCA(s.admissionId, e.target.value)}
                      className="w-16 text-sm px-2 py-1 rounded text-right" style={inputStyle} />
                    <input type="number" min="0" max="60" placeholder="Exam"
                      defaultValue={exam ?? ""}
                      onBlur={e => setExam(s.admissionId, e.target.value)}
                      className="w-16 text-sm px-2 py-1 rounded text-right" style={inputStyle} />
                    <span className="w-16 text-right font-semibold px-2 py-1" style={{ color: total === undefined ? "rgba(22,34,63,0.4)" : total >= 50 ? NAVY : RED }}>
                      {total === undefined ? "—" : total}
                    </span>
                  </span>
                </div>
              );
            })}
          </div>
          <p className="text-xs mt-3" style={{ color: "rgba(22,34,63,0.5)" }}>Correcting a score here overwrites what the teacher entered — changes save automatically when you click away from each box.</p>


          <TermInfoRow activeClass={activeClass} acadSession={acadSession} term={term} data={data} setData={setData} save={save} />

          <div className="mt-6 pt-4" style={{ borderTop: `1px solid ${LINE}` }}>
            <h4 className="font-serif text-base mb-1" style={{ color: NAVY }}>Head Teacher's Remarks — {acadSession}, {term}</h4>
            <p className="text-xs mb-3" style={{ color: "rgba(22,34,63,0.5)" }}>
              Appears on the student's report card for {acadSession}, {term}.
            </p>
            <div className="space-y-3">
              {classStudents.map(s => (
                <CommentRow key={s.admissionId} student={s} acadSession={acadSession} term={term} data={data} setData={setData} save={save} />
              ))}
            </div>
          </div>
        </>
      )}
    </Card>
  );
}

function StudentsPanel({ data, setData, save }) {
  const [form, setForm] = useState({ admissionId: "", pin: "", name: "", gender: "Female", age: "", class: data.classes[0] || "" });
  const [editing, setEditing] = useState(null);
  const [msg, setMsg] = useState("");

  async function addStudent(e) {
    e.preventDefault();
    if (!form.admissionId || !form.pin || !form.name) { setMsg("Fill in all fields."); return; }
    if (!editing && data.students.some(s => s.admissionId.toLowerCase() === form.admissionId.toLowerCase())) {
      setMsg("That Admission ID already exists."); return;
    }
    let next;
    if (editing) {
      next = data.students.map(s => s.admissionId === editing ? { ...form } : s);
    } else {
      next = [...data.students, { ...form }];
    }
    setData(d => ({ ...d, students: next }));
    await save("portal:students", next);
    setForm({ admissionId: "", pin: "", name: "", gender: "Female", age: "", class: data.classes[0] || "" });
    setEditing(null);
    setMsg("Saved.");
  }

  async function removeStudent(id) {
    const next = data.students.filter(s => s.admissionId !== id);
    setData(d => ({ ...d, students: next }));
    await save("portal:students", next);
  }

  function editStudent(s) {
    setForm(s);
    setEditing(s.admissionId);
  }

  return (
    <div className="grid gap-4 sm:grid-cols-2">
      <Card>
        <h3 className="font-serif text-lg mb-3" style={{ color: NAVY }}>{editing ? "Edit Student" : "Add Student"}</h3>
        <form onSubmit={addStudent}>
          <Field label="Admission ID"><input className={inputCls} style={inputStyle} value={form.admissionId} disabled={!!editing} onChange={e => setForm({ ...form, admissionId: e.target.value })} /></Field>
          <Field label="PIN"><input className={inputCls} style={inputStyle} value={form.pin} onChange={e => setForm({ ...form, pin: e.target.value })} /></Field>
          <Field label="Full Name"><input className={inputCls} style={inputStyle} value={form.name} onChange={e => setForm({ ...form, name: e.target.value })} /></Field>
          <Field label="Gender">
            <select className={inputCls} style={inputStyle} value={form.gender || "Female"} onChange={e => setForm({ ...form, gender: e.target.value })}>
              <option>Female</option>
              <option>Male</option>
            </select>
          </Field>
          <Field label="Age"><input type="number" min="0" max="25" className={inputCls} style={inputStyle} value={form.age || ""} onChange={e => setForm({ ...form, age: e.target.value })} /></Field>
          <Field label="Class">
            <select className={inputCls} style={inputStyle} value={form.class} onChange={e => setForm({ ...form, class: e.target.value })}>
              {data.classes.map(c => <option key={c}>{c}</option>)}
            </select>
          </Field>
          {msg && <div className="text-xs mb-3" style={{ color: RED }}>{msg}</div>}
          <div className="flex gap-2">
            <Button type="submit" onClick={addStudent}>{editing ? "Save Changes" : "Add Student"}</Button>
            {editing && <Button variant="ghost" onClick={() => { setEditing(null); setForm({ admissionId: "", pin: "", name: "", gender: "Female", age: "", class: data.classes[0] || "" }); }}>Cancel</Button>}
          </div>
        </form>
      </Card>
      <Card>
        <h3 className="font-serif text-lg mb-3" style={{ color: NAVY }}>All Students ({data.students.length})</h3>
        <div className="max-h-96 overflow-y-auto">
          {data.students.length === 0 && <p className="text-sm" style={{ color: "rgba(22,34,63,0.5)" }}>No students added yet.</p>}
          {data.students.map(s => (
            <div key={s.admissionId} className="flex items-center justify-between py-2 border-b text-sm" style={{ borderColor: LINE }}>
              <div>
                <div className="font-semibold">{s.name}</div>
                <div className="text-xs" style={{ color: "rgba(22,34,63,0.55)" }}>{s.admissionId} · {s.class} · {s.gender || "—"} · Age {s.age || "—"}</div>
              </div>
              <div className="flex gap-2">
                <button onClick={() => editStudent(s)} className="text-xs underline" style={{ color: NAVY }}>Edit</button>
                <button onClick={() => removeStudent(s.admissionId)} className="text-xs underline" style={{ color: RED }}>Remove</button>
              </div>
            </div>
          ))}
        </div>
      </Card>
    </div>
  );
}

function GuardiansPanel({ data, setData, save }) {
  const [form, setForm] = useState({ guardianId: "", pin: "", name: "", studentIds: [] });
  const [editing, setEditing] = useState(null);
  const [msg, setMsg] = useState("");

  function toggleStudent(id) {
    setForm(f => ({ ...f, studentIds: f.studentIds.includes(id) ? f.studentIds.filter(x => x !== id) : [...f.studentIds, id] }));
  }

  async function addGuardian(e) {
    e.preventDefault();
    if (!form.guardianId || !form.pin || !form.name || form.studentIds.length === 0) { setMsg("Fill in all fields and pick at least one child."); return; }
    if (!editing && data.guardians.some(g => g.guardianId.toLowerCase() === form.guardianId.toLowerCase())) {
      setMsg("That Parent ID already exists."); return;
    }
    let next;
    if (editing) next = data.guardians.map(g => g.guardianId === editing ? { ...form } : g);
    else next = [...data.guardians, { ...form }];
    setData(d => ({ ...d, guardians: next }));
    await save("portal:guardians", next);
    setForm({ guardianId: "", pin: "", name: "", studentIds: [] });
    setEditing(null);
    setMsg("Saved.");
  }

  async function removeGuardian(id) {
    const next = data.guardians.filter(g => g.guardianId !== id);
    setData(d => ({ ...d, guardians: next }));
    await save("portal:guardians", next);
  }

  return (
    <div className="grid gap-4 sm:grid-cols-2">
      <Card>
        <h3 className="font-serif text-lg mb-3" style={{ color: NAVY }}>{editing ? "Edit Guardian" : "Add Guardian"}</h3>
        <p className="text-xs mb-3" style={{ color: "rgba(22,34,63,0.5)" }}>
          Use this for parents with more than one child — they log in once and see every linked child. Parents with only one child can just keep using that child's Admission ID directly, no guardian account needed.
        </p>
        <form onSubmit={addGuardian}>
          <Field label="Parent ID"><input className={inputCls} style={inputStyle} value={form.guardianId} disabled={!!editing} onChange={e => setForm({ ...form, guardianId: e.target.value })} /></Field>
          <Field label="PIN"><input className={inputCls} style={inputStyle} value={form.pin} onChange={e => setForm({ ...form, pin: e.target.value })} /></Field>
          <Field label="Parent's Full Name"><input className={inputCls} style={inputStyle} value={form.name} onChange={e => setForm({ ...form, name: e.target.value })} /></Field>
          <Field label="Children">
            <div className="flex flex-wrap gap-1.5 max-h-40 overflow-y-auto">
              {data.students.map(s => (
                <button type="button" key={s.admissionId} onClick={() => toggleStudent(s.admissionId)}
                  className="text-xs px-2 py-1 rounded"
                  style={form.studentIds.includes(s.admissionId) ? { background: NAVY, color: "white" } : { background: PAPER, border: `1px solid ${LINE}`, color: NAVY }}>
                  {s.name} ({s.class})
                </button>
              ))}
            </div>
          </Field>
          {msg && <div className="text-xs mb-3" style={{ color: RED }}>{msg}</div>}
          <div className="flex gap-2">
            <Button type="submit" onClick={addGuardian}>{editing ? "Save Changes" : "Add Guardian"}</Button>
            {editing && <Button variant="ghost" onClick={() => { setEditing(null); setForm({ guardianId: "", pin: "", name: "", studentIds: [] }); }}>Cancel</Button>}
          </div>
        </form>
      </Card>
      <Card>
        <h3 className="font-serif text-lg mb-3" style={{ color: NAVY }}>All Guardians ({data.guardians.length})</h3>
        <div className="max-h-96 overflow-y-auto">
          {data.guardians.length === 0 && <p className="text-sm" style={{ color: "rgba(22,34,63,0.5)" }}>No guardian accounts added yet.</p>}
          {data.guardians.map(g => {
            const childNames = g.studentIds.map(id => { const s = data.students.find(x => x.admissionId === id); return s ? s.name : id; });
            return (
              <div key={g.guardianId} className="flex items-center justify-between py-2 border-b text-sm" style={{ borderColor: LINE }}>
                <div>
                  <div className="font-semibold">{g.name}</div>
                  <div className="text-xs" style={{ color: "rgba(22,34,63,0.55)" }}>{g.guardianId} · {childNames.join(", ")}</div>
                </div>
                <div className="flex gap-2">
                  <button onClick={() => { setForm(g); setEditing(g.guardianId); }} className="text-xs underline" style={{ color: NAVY }}>Edit</button>
                  <button onClick={() => removeGuardian(g.guardianId)} className="text-xs underline" style={{ color: RED }}>Remove</button>
                </div>
              </div>
            );
          })}
        </div>
      </Card>
    </div>
  );
}

function StaffPanel({ data, setData, save }) {
  const [form, setForm] = useState({ staffId: "", pin: "", name: "", classes: [] });
  const [editing, setEditing] = useState(null);
  const [msg, setMsg] = useState("");

  function toggleClass(c) {
    setForm(f => ({ ...f, classes: f.classes.includes(c) ? f.classes.filter(x => x !== c) : [...f.classes, c] }));
  }

  async function addStaff(e) {
    e.preventDefault();
    if (!form.staffId || !form.pin || !form.name) { setMsg("Fill in all fields."); return; }
    if (!editing && data.staff.some(s => s.staffId.toLowerCase() === form.staffId.toLowerCase())) {
      setMsg("That Staff ID already exists."); return;
    }
    let next;
    if (editing) next = data.staff.map(s => s.staffId === editing ? { ...form } : s);
    else next = [...data.staff, { ...form }];
    setData(d => ({ ...d, staff: next }));
    await save("portal:staff", next);
    setForm({ staffId: "", pin: "", name: "", classes: [] });
    setEditing(null);
    setMsg("Saved.");
  }

  async function removeStaff(id) {
    const next = data.staff.filter(s => s.staffId !== id);
    setData(d => ({ ...d, staff: next }));
    await save("portal:staff", next);
  }

  return (
    <div className="grid gap-4 sm:grid-cols-2">
      <Card>
        <h3 className="font-serif text-lg mb-3" style={{ color: NAVY }}>{editing ? "Edit Staff" : "Add Staff"}</h3>
        <form onSubmit={addStaff}>
          <Field label="Staff ID"><input className={inputCls} style={inputStyle} value={form.staffId} disabled={!!editing} onChange={e => setForm({ ...form, staffId: e.target.value })} /></Field>
          <Field label="PIN"><input className={inputCls} style={inputStyle} value={form.pin} onChange={e => setForm({ ...form, pin: e.target.value })} /></Field>
          <Field label="Full Name"><input className={inputCls} style={inputStyle} value={form.name} onChange={e => setForm({ ...form, name: e.target.value })} /></Field>
          <Field label="Assigned Classes">
            <div className="flex flex-wrap gap-1.5 max-h-32 overflow-y-auto">
              {data.classes.map(c => (
                <button type="button" key={c} onClick={() => toggleClass(c)}
                  className="text-xs px-2 py-1 rounded"
                  style={form.classes.includes(c) ? { background: NAVY, color: "white" } : { background: PAPER, border: `1px solid ${LINE}`, color: NAVY }}>
                  {c}
                </button>
              ))}
            </div>
          </Field>
          {msg && <div className="text-xs mb-3" style={{ color: RED }}>{msg}</div>}
          <div className="flex gap-2">
            <Button type="submit" onClick={addStaff}>{editing ? "Save Changes" : "Add Staff"}</Button>
            {editing && <Button variant="ghost" onClick={() => { setEditing(null); setForm({ staffId: "", pin: "", name: "", classes: [] }); }}>Cancel</Button>}
          </div>
        </form>
      </Card>
      <Card>
        <h3 className="font-serif text-lg mb-3" style={{ color: NAVY }}>All Staff ({data.staff.length})</h3>
        <div className="max-h-96 overflow-y-auto">
          {data.staff.length === 0 && <p className="text-sm" style={{ color: "rgba(22,34,63,0.5)" }}>No staff added yet.</p>}
          {data.staff.map(s => (
            <div key={s.staffId} className="flex items-center justify-between py-2 border-b text-sm" style={{ borderColor: LINE }}>
              <div>
                <div className="font-semibold">{s.name}</div>
                <div className="text-xs" style={{ color: "rgba(22,34,63,0.55)" }}>{s.staffId} · {s.classes.join(", ") || "No classes assigned"}</div>
              </div>
              <div className="flex gap-2">
                <button onClick={() => { setForm(s); setEditing(s.staffId); }} className="text-xs underline" style={{ color: NAVY }}>Edit</button>
                <button onClick={() => removeStaff(s.staffId)} className="text-xs underline" style={{ color: RED }}>Remove</button>
              </div>
            </div>
          ))}
        </div>
      </Card>
    </div>
  );
}

function SessionsPanel({ data, setData, save }) {
  const [newSession, setNewSession] = useState("");
  async function addSession(e) {
    e.preventDefault();
    if (!newSession.trim() || data.sessions.includes(newSession.trim())) return;
    const next = [newSession.trim(), ...data.sessions];
    setData(d => ({ ...d, sessions: next }));
    await save("portal:sessions", next);
    setNewSession("");
  }
  async function removeSession(s) {
    const next = data.sessions.filter(x => x !== s);
    setData(d => ({ ...d, sessions: next }));
    await save("portal:sessions", next);
  }
  return (
    <Card style={{ maxWidth: 480 }}>
      <h3 className="font-serif text-lg mb-3" style={{ color: NAVY }}>Academic Sessions</h3>
      <form onSubmit={addSession} className="flex gap-2 mb-4">
        <input className={inputCls} style={inputStyle} placeholder="e.g. 2026/2027" value={newSession} onChange={e => setNewSession(e.target.value)} />
        <Button type="submit" onClick={addSession}>Add</Button>
      </form>
      <div className="flex flex-wrap gap-1.5">
        {data.sessions.map(s => (
          <span key={s} className="text-xs px-2 py-1 rounded flex items-center gap-1" style={{ background: PAPER, border: `1px solid ${LINE}` }}>
            {s}
            <button onClick={() => removeSession(s)} style={{ color: RED }} className="font-bold">&times;</button>
          </span>
        ))}
      </div>
      <p className="text-xs mt-3" style={{ color: "rgba(22,34,63,0.5)" }}>
        The newest session you add appears first in the dropdowns across the portal.
      </p>
    </Card>
  );
}

function TermDatesPanel({ data, setData, save }) {
  const [acadSession, setAcadSession] = useState(data.sessions[0] || "");
  return (
    <Card style={{ maxWidth: 600 }}>
      <h3 className="font-serif text-lg mb-1" style={{ color: NAVY }}>Term Dates</h3>
      <p className="text-xs mb-4" style={{ color: "rgba(22,34,63,0.5)" }}>
        Set resumption and vacation dates for each term. This automatically calculates how many school days (weekdays) each term has, so attendance percentages and "school opened" counts stay accurate.
      </p>
      <div className="mb-4">
        <select className="text-xs px-2 py-1.5 rounded" style={inputStyle} value={acadSession} onChange={e => setAcadSession(e.target.value)}>
          {data.sessions.map(s => <option key={s}>{s}</option>)}
        </select>
      </div>
      <div className="space-y-4">
        {TERMS.map(term => (
          <TermDateRow key={term} term={term} acadSession={acadSession} data={data} setData={setData} save={save} />
        ))}
      </div>
    </Card>
  );
}

function TermDateRow({ term, acadSession, data, setData, save }) {
  const key = `${acadSession}::${term}`;
  const existing = data.termDates[key] || { resumption: "", vacation: "" };
  const [resumption, setResumption] = useState(existing.resumption);
  const [vacation, setVacation] = useState(existing.vacation);
  const [savedFlag, setSavedFlag] = useState(false);

  useEffect(() => {
    const e = data.termDates[key] || { resumption: "", vacation: "" };
    setResumption(e.resumption);
    setVacation(e.vacation);
    // eslint-disable-next-line
  }, [key]);

  const days = countWeekdays(resumption, vacation);

  async function saveNow() {
    const next = { ...data.termDates, [key]: { resumption, vacation } };
    setData(d => ({ ...d, termDates: next }));
    await save("portal:termDates", next);
    setSavedFlag(true);
    setTimeout(() => setSavedFlag(false), 1500);
  }

  return (
    <div className="p-3 rounded" style={{ background: PAPER, border: `1px solid ${LINE}` }}>
      <div className="text-sm font-semibold mb-2" style={{ color: NAVY }}>{term}</div>
      <div className="flex flex-wrap gap-3 items-end">
        <Field label="Resumption Date">
          <input type="date" className="text-sm px-2 py-1.5 rounded" style={{ ...inputStyle, background: "white" }} value={resumption} onChange={e => setResumption(e.target.value)} />
        </Field>
        <Field label="Vacation Date">
          <input type="date" className="text-sm px-2 py-1.5 rounded" style={{ ...inputStyle, background: "white" }} value={vacation} onChange={e => setVacation(e.target.value)} />
        </Field>
        <Button onClick={saveNow}>{savedFlag ? "Saved ✓" : "Save"}</Button>
      </div>
      {days !== null && (
        <p className="text-xs mt-2" style={{ color: NAVY }}>≈ {days} school days (weekdays) this term.</p>
      )}
    </div>
  );
}

function ClassesPanel({ data, setData, save }) {
  const [newClass, setNewClass] = useState("");
  async function addClass(e) {
    e.preventDefault();
    if (!newClass.trim() || data.classes.includes(newClass.trim())) return;
    const next = [...data.classes, newClass.trim()];
    setData(d => ({ ...d, classes: next }));
    await save("portal:classes", next);
    setNewClass("");
  }
  async function removeClass(c) {
    const next = data.classes.filter(x => x !== c);
    setData(d => ({ ...d, classes: next }));
    await save("portal:classes", next);
  }
  return (
    <Card style={{ maxWidth: 480 }}>
      <h3 className="font-serif text-lg mb-3" style={{ color: NAVY }}>Classes / Sections</h3>
      <form onSubmit={addClass} className="flex gap-2 mb-4">
        <input className={inputCls} style={inputStyle} placeholder="e.g. Basic 7" value={newClass} onChange={e => setNewClass(e.target.value)} />
        <Button type="submit" onClick={addClass}>Add</Button>
      </form>
      <div className="flex flex-wrap gap-1.5">
        {data.classes.map(c => (
          <span key={c} className="text-xs px-2 py-1 rounded flex items-center gap-1" style={{ background: PAPER, border: `1px solid ${LINE}` }}>
            {c}
            <button onClick={() => removeClass(c)} style={{ color: RED }} className="font-bold">&times;</button>
          </span>
        ))}
      </div>
    </Card>
  );
}

function AdminSettingsPanel({ data, setData, save }) {
  const [adminId, setAdminId] = useState(data.admin.adminId);
  const [pin, setPin] = useState("");
  const [msg, setMsg] = useState("");
  async function update(e) {
    e.preventDefault();
    if (!adminId || !pin) { setMsg("Fill both fields."); return; }
    const next = { adminId, pin };
    setData(d => ({ ...d, admin: next }));
    await save("portal:admin", next);
    setMsg("Admin credentials updated.");
  }
  return (
    <Card style={{ maxWidth: 400 }}>
      <h3 className="font-serif text-lg mb-3" style={{ color: NAVY }}>Change Admin Login</h3>
      <form onSubmit={update}>
        <Field label="Admin ID"><input className={inputCls} style={inputStyle} value={adminId} onChange={e => setAdminId(e.target.value)} /></Field>
        <Field label="New PIN"><input className={inputCls} style={inputStyle} value={pin} onChange={e => setPin(e.target.value)} /></Field>
        {msg && <div className="text-xs mb-3" style={{ color: NAVY }}>{msg}</div>}
        <Button type="submit" onClick={update}>Update</Button>
      </form>
    </Card>
  );
}

function AdmissionLettersPanel({ data, setData, save }) {
  const [studentId, setStudentId] = useState(data.students[0] && data.students[0].admissionId || "");
  const [fileInfo, setFileInfo] = useState(null);
  const [msg, setMsg] = useState("");

  function handleFile(e) {
    const file = e.target.files[0];
    if (!file) return;
    if (file.size > 2 * 1024 * 1024) {
      setMsg("File is larger than 2MB — please use a smaller PDF or image.");
      return;
    }
    setMsg("");
    const reader = new FileReader();
    reader.onload = () => setFileInfo({ fileName: file.name, dataUrl: reader.result });
    reader.readAsDataURL(file);
  }

  async function saveLetter(e) {
    e.preventDefault();
    if (!studentId || !fileInfo) { setMsg("Choose a student and a file first."); return; }
    const next = { ...data.admissionLetters, [studentId]: { ...fileInfo, uploadedDate: new Date().toISOString().slice(0, 10) } };
    setData(d => ({ ...d, admissionLetters: next }));
    await save("portal:admissionLetters", next);
    setFileInfo(null);
    setMsg("Saved — the student/parent can now see it under their Admission Letter tab.");
  }

  async function removeLetter(id) {
    const next = { ...data.admissionLetters };
    delete next[id];
    setData(d => ({ ...d, admissionLetters: next }));
    await save("portal:admissionLetters", next);
  }

  const withLetters = data.students.filter(s => data.admissionLetters[s.admissionId]);

  return (
    <div className="grid gap-4 sm:grid-cols-2">
      <Card>
        <h3 className="font-serif text-lg mb-3" style={{ color: NAVY }}>Upload Admission Letter</h3>
        <form onSubmit={saveLetter}>
          <Field label="Student">
            <select className={inputCls} style={inputStyle} value={studentId} onChange={e => setStudentId(e.target.value)}>
              {data.students.map(s => <option key={s.admissionId} value={s.admissionId}>{s.name} ({s.admissionId})</option>)}
            </select>
          </Field>
          <Field label="Letter File (PDF or image, max 2MB)">
            <input type="file" accept="application/pdf,image/*" onChange={handleFile} className="w-full text-sm" />
          </Field>
          {fileInfo && <div className="text-xs mb-3" style={{ color: NAVY }}>Ready to save: {fileInfo.fileName}</div>}
          {msg && <div className="text-xs mb-3" style={{ color: RED }}>{msg}</div>}
          <Button type="submit" onClick={saveLetter}>Save Letter</Button>
        </form>
        <p className="text-xs mt-3" style={{ color: "rgba(22,34,63,0.5)" }}>
          Keep files small (under 2MB) — large files slow the portal down for everyone.
        </p>
      </Card>
      <Card>
        <h3 className="font-serif text-lg mb-3" style={{ color: NAVY }}>Letters on File ({withLetters.length})</h3>
        {withLetters.length === 0 && <p className="text-sm" style={{ color: "rgba(22,34,63,0.5)" }}>No admission letters uploaded yet.</p>}
        <div className="max-h-96 overflow-y-auto">
          {withLetters.map(s => {
            const l = data.admissionLetters[s.admissionId];
            return (
              <div key={s.admissionId} className="flex items-center justify-between py-2 border-b text-sm" style={{ borderColor: LINE }}>
                <div>
                  <div className="font-semibold">{s.name}</div>
                  <div className="text-xs" style={{ color: "rgba(22,34,63,0.55)" }}>{l.fileName} · {l.uploadedDate}</div>
                </div>
                <button onClick={() => removeLetter(s.admissionId)} className="text-xs underline" style={{ color: RED }}>Remove</button>
              </div>
            );
          })}
        </div>
      </Card>
    </div>
  );
}

function AdmissionInquiriesPanel({ data }) {
  const inquiries = [...(data.admissionInquiries || [])].reverse();
  return (
    <Card>
      <h3 className="font-serif text-lg mb-3" style={{ color: NAVY }}>Admission Inquiries from Website ({inquiries.length})</h3>
      {inquiries.length === 0 && <p className="text-sm" style={{ color: "rgba(22,34,63,0.5)" }}>No inquiries submitted yet.</p>}
      <div className="max-h-[32rem] overflow-y-auto space-y-3">
        {inquiries.map((q, i) => (
          <div key={i} className="p-3 rounded" style={{ background: PAPER, border: `1px solid ${LINE}` }}>
            <div className="flex justify-between text-sm font-semibold" style={{ color: NAVY }}>
              <span>{q.name}</span>
              <span className="text-xs font-normal" style={{ color: "rgba(22,34,63,0.5)" }}>{q.date}</span>
            </div>
            <div className="text-xs mt-1" style={{ color: "rgba(22,34,63,0.6)" }}>{q.email} · {q.section}</div>
            <p className="text-sm mt-2">{q.message}</p>
          </div>
        ))}
      </div>
    </Card>
  );
}

const WEBSITE_URL = "https://excellentpottersheightschool.netlify.app";
const PORTAL_URL = "https://ephsportal.netlify.app";

function QRCodesPanel({ data, setData, save }) {
  const parentUrl = `${PORTAL_URL}/?bonus=parent`;
  const staffUrl = `${PORTAL_URL}/?bonus=staff`;
  const parentQrImg = `https://api.qrserver.com/v1/create-qr-code/?size=400x400&data=${encodeURIComponent(parentUrl)}`;
  const staffQrImg = `https://api.qrserver.com/v1/create-qr-code/?size=400x400&data=${encodeURIComponent(staffUrl)}`;

  const pb = (data.voucherScans && data.voucherScans.parentBonus) || { count: 0, limit: 10, claimedIds: [] };

  async function resetParentCount() {
    if (!window.confirm("Reset the parent bonus for the new term? This clears the count and allows previously-claimed students to claim again.")) return;
    const next = { ...data.voucherScans, parentBonus: { ...pb, count: 0, claimedIds: [] } };
    setData(d => ({ ...d, voucherScans: next }));
    await save("portal:voucherScans", next);
  }

  return (
    <div className="grid gap-4 sm:grid-cols-2">
      <Card>
        <h3 className="font-serif text-lg mb-1" style={{ color: NAVY }}>Parent/Student Bonus QR</h3>
        <p className="text-xs mb-3" style={{ color: "rgba(22,34,63,0.55)" }}>"Scan to link your child's portal and view your reward"</p>
        <img src={parentQrImg} alt="Parent bonus QR code" className="mx-auto mb-3" style={{ width: 200, height: 200 }} />
        <div className="text-sm text-center mb-3">
          <strong>{pb.count} / {pb.limit}</strong> parents have claimed this term
        </div>
        <div className="flex gap-2 justify-center flex-wrap">
          <a href={parentQrImg} download="ephs-parent-bonus-qr.png"><Button variant="ghost">Download</Button></a>
          <Button variant="ghost" onClick={resetParentCount}>Reset for New Term</Button>
        </div>
        <p className="text-xs mt-3" style={{ color: "rgba(22,34,63,0.5)" }}>
          Shows "You have earned ₦2000 credit for prompt payment" to the first 10 scans each term, then stops responding until you reset it. Each scan/reload counts as one use.
        </p>
      </Card>
      <Card>
        <h3 className="font-serif text-lg mb-1" style={{ color: NAVY }}>Staff Bonus QR</h3>
        <p className="text-xs mb-3" style={{ color: "rgba(22,34,63,0.55)" }}>Portal-only — not shown on the website</p>
        <img src={staffQrImg} alt="Staff bonus QR code" className="mx-auto mb-3" style={{ width: 200, height: 200 }} />
        <div className="flex gap-2 justify-center">
          <a href={staffQrImg} download="ephs-staff-bonus-qr.png"><Button variant="ghost">Download</Button></a>
        </div>
        <p className="text-xs mt-3" style={{ color: "rgba(22,34,63,0.5)" }}>
          Staff must log in with their Staff ID first, then see "You have earned 10% of tuition" — no limit. They can also find and download this same QR from their own Bonus tab after logging in.
        </p>
      </Card>
    </div>
  );
}

function FeesPanel({ data, setData, save, isAdmin, lockedStudentId }) {
  const [studentId, setStudentId] = useState(lockedStudentId || (data.students[0] && data.students[0].admissionId) || "");
  const [amount, setAmount] = useState("");
  const [type, setType] = useState("payment");
  const [note, setNote] = useState("");
  const record = data.fees[studentId] || { balance: 0, history: [] };
  const student = data.students.find(s => s.admissionId === studentId);

  async function addEntry(e) {
    e.preventDefault();
    const amt = parseFloat(amount);
    if (!studentId || isNaN(amt)) return;
    const delta = type === "payment" ? -amt : amt;
    const newRecord = {
      balance: (record.balance || 0) + delta,
      history: [{ date: new Date().toISOString().slice(0, 10), amount: amt, type, note }, ...(record.history || [])],
    };
    const next = { ...data.fees, [studentId]: newRecord };
    setData(d => ({ ...d, fees: next }));
    await save("portal:fees", next);
    setAmount(""); setNote("");
  }

  return (
    <div className="grid gap-4 sm:grid-cols-2">
      {isAdmin && (
        <Card>
          <h3 className="font-serif text-lg mb-3" style={{ color: NAVY }}>Add Fee Entry</h3>
          <form onSubmit={addEntry}>
            <Field label="Student">
              <select className={inputCls} style={inputStyle} value={studentId} onChange={e => setStudentId(e.target.value)}>
                {data.students.map(s => <option key={s.admissionId} value={s.admissionId}>{s.name} ({s.admissionId})</option>)}
              </select>
            </Field>
            <Field label="Type">
              <select className={inputCls} style={inputStyle} value={type} onChange={e => setType(e.target.value)}>
                <option value="charge">Charge (fee billed)</option>
                <option value="payment">Payment received</option>
              </select>
            </Field>
            <Field label="Amount (₦)"><input type="number" className={inputCls} style={inputStyle} value={amount} onChange={e => setAmount(e.target.value)} /></Field>
            <Field label="Note (optional)"><input className={inputCls} style={inputStyle} value={note} onChange={e => setNote(e.target.value)} /></Field>
            <Button type="submit" onClick={addEntry}>Save Entry</Button>
          </form>
          <p className="text-xs mt-3" style={{ color: "rgba(22,34,63,0.5)" }}>
            Note: this records fee balances only — it does not process real payments. Connect a payment gateway (e.g. Paystack) separately for online payment collection.
          </p>
        </Card>
      )}
      <Card>
        <h3 className="font-serif text-lg mb-3" style={{ color: NAVY }}>
          {student ? `${student.name}'s Fee Record` : "Fee Record"}
        </h3>
        <div className="mb-4 p-3 rounded" style={{ background: record.balance > 0 ? "rgba(194,32,48,0.08)" : "rgba(22,34,63,0.05)" }}>
          <div className="text-xs uppercase tracking-wide" style={{ color: "rgba(22,34,63,0.6)" }}>Current Balance</div>
          <div className="text-2xl font-serif" style={{ color: record.balance > 0 ? RED : NAVY }}>
            ₦{(record.balance || 0).toLocaleString()}
          </div>
          <div className="text-xs mt-1" style={{ color: "rgba(22,34,63,0.5)" }}>
            {record.balance > 0 ? "Amount owed to the school" : "No outstanding balance"}
          </div>
        </div>
        <div className="text-xs font-semibold uppercase tracking-wide mb-2" style={{ color: "rgba(22,34,63,0.6)" }}>History</div>
        <div className="max-h-64 overflow-y-auto">
          {(record.history || []).length === 0 && <p className="text-sm" style={{ color: "rgba(22,34,63,0.5)" }}>No fee records yet.</p>}
          {(record.history || []).map((h, i) => (
            <div key={i} className="flex justify-between py-1.5 border-b text-sm" style={{ borderColor: LINE }}>
              <div>
                <div>{h.type === "payment" ? "Payment" : "Charge"}{h.note ? ` — ${h.note}` : ""}</div>
                <div className="text-xs" style={{ color: "rgba(22,34,63,0.5)" }}>{h.date}</div>
              </div>
              <div className="font-semibold" style={{ color: h.type === "payment" ? NAVY : RED }}>
                {h.type === "payment" ? "-" : "+"}₦{h.amount.toLocaleString()}
              </div>
            </div>
          ))}
        </div>
      </Card>
    </div>
  );
}

// ================= TEACHER DASHBOARD =================
function TeacherDashboard({ session, data, setData, save, startOnBonus }) {
  const myClasses = session.classes || [];
  const [activeClass, setActiveClass] = useState(myClasses[0] || "");
  const [tab, setTab] = useState(startOnBonus ? "bonus" : "attendance");

  if (myClasses.length === 0 && !startOnBonus) {
    return (
      <div style={{ background: PAPER, minHeight: "100vh" }}>
        <TopBar title={session.name} subtitle="Staff" onLogout={data.onLogout} />
        <div className="max-w-2xl mx-auto p-6">
          <Card><p className="text-sm">You have no classes assigned yet. Ask the admin to assign you a class.</p></Card>
        </div>
      </div>
    );
  }

  return (
    <div style={{ background: PAPER, minHeight: "100vh" }}>
      <TopBar title={session.name} subtitle="Staff" onLogout={data.onLogout} />
      <div className="max-w-4xl mx-auto p-4">
        <div className="flex gap-2 mb-4 flex-wrap items-center">
          {myClasses.length > 0 && (
            <>
              <span className="text-xs font-semibold uppercase" style={{ color: "rgba(22,34,63,0.5)" }}>Class:</span>
              <select className="text-sm px-2 py-1 rounded" style={inputStyle} value={activeClass} onChange={e => setActiveClass(e.target.value)}>
                {myClasses.map(c => <option key={c}>{c}</option>)}
              </select>
            </>
          )}
          <div className="flex gap-1 ml-auto">
            {["attendance", "results", "bonus"].map(t => (
              <button key={t} onClick={() => setTab(t)}
                className="px-3 py-1.5 text-xs font-semibold rounded capitalize"
                style={tab === t ? { background: NAVY, color: "white" } : { background: "white", color: NAVY, border: `1px solid ${LINE}` }}>
                {t}
              </button>
            ))}
          </div>
        </div>
        {tab === "attendance" && activeClass && <AttendancePanel data={data} setData={setData} save={save} activeClass={activeClass} />}
        {tab === "results" && activeClass && <ResultsPanel data={data} setData={setData} save={save} activeClass={activeClass} />}
        {tab === "bonus" && <StaffBonusPanel />}
      </div>
    </div>
  );
}

function StaffBonusPanel() {
  const staffQrImg = `https://api.qrserver.com/v1/create-qr-code/?size=400x400&data=${encodeURIComponent(`${PORTAL_URL}/?bonus=staff`)}`;
  return (
    <Card style={{ maxWidth: 420 }}>
      <div className="text-4xl mb-3 text-center">🎉</div>
      <h3 className="font-serif text-xl mb-2 text-center" style={{ color: NAVY }}>Congratulations!</h3>
      <p className="text-base font-semibold text-center" style={{ color: RED }}>You have earned 10% of tuition.</p>
      <p className="text-xs mt-3 text-center" style={{ color: "rgba(22,34,63,0.55)" }}>Please see the school Admin office to claim this reward.</p>
      <div className="mt-4 text-center">
        <img src={staffQrImg} alt="Your bonus QR code" className="mx-auto mb-2" style={{ width: 160, height: 160 }} />
        <a href={staffQrImg} download="ephs-staff-bonus-qr.png"><Button variant="ghost">Download This QR</Button></a>
      </div>
    </Card>
  );
}


function AttendancePanel({ data, setData, save, activeClass }) {
  const [date, setDate] = useState(new Date().toISOString().slice(0, 10));
  const key = `${activeClass}::${date}`;
  const classStudents = data.students.filter(s => s.class === activeClass);
  const record = data.attendance[key] || {};

  async function setStatus(admissionId, status) {
    const nextRecord = { ...record, [admissionId]: status };
    const next = { ...data.attendance, [key]: nextRecord };
    setData(d => ({ ...d, attendance: next }));
    await save("portal:attendance", next);
  }

  return (
    <Card>
      <div className="flex items-center gap-3 mb-4">
        <h3 className="font-serif text-lg" style={{ color: NAVY }}>Attendance — {activeClass}</h3>
        <input type="date" className="text-sm px-2 py-1 rounded ml-auto" style={inputStyle} value={date} onChange={e => setDate(e.target.value)} />
      </div>
      {classStudents.length === 0 && <p className="text-sm" style={{ color: "rgba(22,34,63,0.5)" }}>No students in this class yet.</p>}
      <div className="space-y-1">
        {classStudents.map(s => {
          const st = record[s.admissionId];
          return (
            <div key={s.admissionId} className="flex items-center justify-between py-2 border-b text-sm" style={{ borderColor: LINE }}>
              <span>{s.name}</span>
              <div className="flex gap-1.5">
                <button onClick={() => setStatus(s.admissionId, "present")}
                  className="text-xs px-2.5 py-1 rounded"
                  style={st === "present" ? { background: NAVY, color: "white" } : { background: PAPER, border: `1px solid ${LINE}` }}>Present</button>
                <button onClick={() => setStatus(s.admissionId, "absent")}
                  className="text-xs px-2.5 py-1 rounded"
                  style={st === "absent" ? { background: RED, color: "white" } : { background: PAPER, border: `1px solid ${LINE}` }}>Absent</button>
              </div>
            </div>
          );
        })}
      </div>
    </Card>
  );
}

function ResultsPanel({ data, setData, save, activeClass }) {
  const [acadSession, setAcadSession] = useState(data.sessions[0] || "");
  const [term, setTerm] = useState(TERMS[0]);
  const subjectList = subjectsFor(data, activeClass);
  const [subject, setSubject] = useState(subjectList[0]);
  const [newSubject, setNewSubject] = useState("");
  const [subjMsg, setSubjMsg] = useState("");
  const classStudents = data.students.filter(s => s.class === activeClass);

  useEffect(() => {
    const list = subjectsFor(data, activeClass);
    if (!list.includes(subject)) setSubject(list[0]);
    // eslint-disable-next-line
  }, [activeClass]);

  async function setCA(admissionId, val) {
    const key = `${admissionId}::${acadSession}::${term}`;
    const existing = data.results[key] || {};
    const prev = existing[subject];
    const prevObj = typeof prev === "number" ? { ca: undefined, exam: prev } : (prev || {});
    const nextEntry = { ...existing, [subject]: { ...prevObj, ca: val === "" ? undefined : Number(val) } };
    const next = { ...data.results, [key]: nextEntry };
    setData(d => ({ ...d, results: next }));
    await save("portal:results", next);
  }
  async function setExam(admissionId, val) {
    const key = `${admissionId}::${acadSession}::${term}`;
    const existing = data.results[key] || {};
    const prev = existing[subject];
    const prevObj = typeof prev === "number" ? { ca: undefined, exam: undefined } : (prev || {});
    const nextEntry = { ...existing, [subject]: { ...prevObj, exam: val === "" ? undefined : Number(val) } };
    const next = { ...data.results, [key]: nextEntry };
    setData(d => ({ ...d, results: next }));
    await save("portal:results", next);
  }

  async function addSubject(e) {
    e.preventDefault();
    const name = newSubject.trim();
    if (!name) return;
    const list = subjectsFor(data, activeClass);
    if (list.includes(name)) { setSubjMsg("That subject is already in the list."); return; }
    const nextList = [...list, name];
    const next = { ...data.subjectsByClass, [activeClass]: nextList };
    setData(d => ({ ...d, subjectsByClass: next }));
    await save("portal:subjectsByClass", next);
    setNewSubject("");
    setSubjMsg("");
    setSubject(name);
  }
  async function renameSubject(oldName) {
    const newName = window.prompt(`Rename "${oldName}" to:`, oldName);
    if (!newName || !newName.trim() || newName.trim() === oldName) return;
    const list = subjectsFor(data, activeClass).map(s => s === oldName ? newName.trim() : s);
    const next = { ...data.subjectsByClass, [activeClass]: list };
    setData(d => ({ ...d, subjectsByClass: next }));
    await save("portal:subjectsByClass", next);
    if (subject === oldName) setSubject(newName.trim());
  }
  async function removeSubject(name) {
    if (!window.confirm(`Remove "${name}" from this class's subject list? Already-entered scores for it are kept, just hidden from future entry.`)) return;
    const list = subjectsFor(data, activeClass).filter(s => s !== name);
    const next = { ...data.subjectsByClass, [activeClass]: list.length ? list : SUBJECTS_DEFAULT };
    setData(d => ({ ...d, subjectsByClass: next }));
    await save("portal:subjectsByClass", next);
  }

  return (
    <Card>
      <div className="flex flex-wrap items-center gap-2 mb-4">
        <h3 className="font-serif text-lg mr-auto" style={{ color: NAVY }}>Results — {activeClass}</h3>
        <select className="text-xs px-2 py-1 rounded" style={inputStyle} value={acadSession} onChange={e => setAcadSession(e.target.value)}>
          {data.sessions.map(sess => <option key={sess}>{sess}</option>)}
        </select>
        <select className="text-xs px-2 py-1 rounded" style={inputStyle} value={term} onChange={e => setTerm(e.target.value)}>
          {TERMS.map(t => <option key={t}>{t}</option>)}
        </select>
        <select className="text-xs px-2 py-1 rounded" style={inputStyle} value={subject} onChange={e => setSubject(e.target.value)}>
          {subjectList.map(s => <option key={s}>{s}</option>)}
        </select>
      </div>

      <div className="mb-4 p-3 rounded flex flex-wrap items-center gap-2" style={{ background: PAPER, border: `1px solid ${LINE}` }}>
        <form onSubmit={addSubject} className="flex gap-2 items-center">
          <input className="text-xs px-2 py-1.5 rounded" style={inputStyle} placeholder="Add subject for this class" value={newSubject} onChange={e => setNewSubject(e.target.value)} />
          <Button type="submit" onClick={addSubject}>Add Subject</Button>
        </form>
        <button type="button" onClick={() => renameSubject(subject)} className="text-xs underline ml-auto" style={{ color: NAVY }}>Rename "{subject}"</button>
        <button type="button" onClick={() => removeSubject(subject)} className="text-xs underline" style={{ color: RED }}>Remove "{subject}"</button>
      </div>
      {subjMsg && <div className="text-xs mb-3" style={{ color: RED }}>{subjMsg}</div>}

      {classStudents.length === 0 && <p className="text-sm" style={{ color: "rgba(22,34,63,0.5)" }}>No students in this class yet.</p>}
      <div className="space-y-1">
        <div className="flex justify-between py-1.5 text-xs font-semibold uppercase tracking-wide" style={{ color: "rgba(22,34,63,0.5)" }}>
          <span>Student</span>
          <span className="flex gap-2"><span className="w-16 text-center">C/A</span><span className="w-16 text-center">Exam</span><span className="w-16 text-center">Total</span></span>
        </div>
        {classStudents.map(s => {
          const entry = data.results[`${s.admissionId}::${acadSession}::${term}`] || {};
          const v = entry[subject];
          const ca = scoreCA(v);
          const exam = scoreExam(v);
          const total = scoreTotal(v);
          return (
            <div key={s.admissionId} className="flex items-center justify-between py-2 border-b text-sm" style={{ borderColor: LINE }}>
              <span>{s.name}</span>
              <span className="flex gap-2">
                <input type="number" min="0" max="40" placeholder="C/A"
                  defaultValue={ca ?? ""}
                  onBlur={e => setCA(s.admissionId, e.target.value)}
                  className="w-16 text-sm px-2 py-1 rounded text-right" style={inputStyle} />
                <input type="number" min="0" max="60" placeholder="Exam"
                  defaultValue={exam ?? ""}
                  onBlur={e => setExam(s.admissionId, e.target.value)}
                  className="w-16 text-sm px-2 py-1 rounded text-right" style={inputStyle} />
                <span className="w-16 text-right font-semibold px-2 py-1" style={{ color: total === undefined ? "rgba(22,34,63,0.4)" : total >= 50 ? NAVY : RED }}>
                  {total === undefined ? "—" : total}
                </span>
              </span>
            </div>
          );
        })}
      </div>
      <p className="text-xs mt-3" style={{ color: "rgba(22,34,63,0.5)" }}>Enter C/A and Exam separately — Total updates automatically. Scores save when you click away from a box.</p>
    </Card>
  );
}

// ================= STUDENT / PARENT DASHBOARD =================
function ChildSummaryCard({ studentId, data, acadSession, term }) {
  const student = data.students.find(s => s.admissionId === studentId);
  const [showReport, setShowReport] = useState(false);
  if (!student) return null;

  const attendanceEntries = Object.entries(data.attendance).filter(([k]) => k.startsWith(`${student.class}::`));
  let present = 0, absent = 0;
  attendanceEntries.forEach(([, rec]) => {
    const st = rec[studentId];
    if (st === "present") present++;
    if (st === "absent") absent++;
  });
  const total = present + absent;
  const pct = total ? Math.round((present / total) * 100) : null;

  const resultEntry = data.results[`${studentId}::${acadSession}::${term}`] || {};
  const scores = Object.values(resultEntry).map(v => scoreTotal(v)).filter(v => v !== undefined);
  const avg = scores.length ? Math.round((scores.reduce((a, b) => a + b, 0) / scores.length) * 10) / 10 : null;
  const grade = avg !== null ? gradeFor(avg) : null;
  const feeRecord = data.fees[studentId] || { balance: 0 };
  const commentEntry = data.comments[`${studentId}::${acadSession}::${term}`];

  return (
    <>
    <Card style={{ marginBottom: 16 }}>
      <div className="flex items-center justify-between mb-3">
        <div>
          <div className="font-serif text-lg" style={{ color: NAVY }}>{student.name}</div>
          <div className="text-xs" style={{ color: "rgba(22,34,63,0.55)" }}>{student.class} · Admission ID: {student.admissionId}</div>
        </div>
        <button onClick={() => setShowReport(true)}
          className="text-xs font-semibold px-3 py-1.5 rounded-full whitespace-nowrap"
          style={{ background: NAVY_GRADIENT, color: "white", boxShadow: "0 2px 8px rgba(22,34,63,0.3)" }}>
          Download / Print Result
        </button>
      </div>
      <div className="grid grid-cols-2 sm:grid-cols-4 gap-3 mb-3">
        <div className="p-2 rounded text-center" style={{ background: PAPER }}>
          <div className="text-xs" style={{ color: "rgba(22,34,63,0.5)" }}>Attendance</div>
          <div className="font-semibold" style={{ color: NAVY }}>{pct === null ? "—" : `${pct}%`}</div>
        </div>
        <div className="p-2 rounded text-center" style={{ background: PAPER }}>
          <div className="text-xs" style={{ color: "rgba(22,34,63,0.5)" }}>Average</div>
          <div className="font-semibold" style={{ color: NAVY }}>{avg === null ? "—" : `${avg}%`}</div>
        </div>
        <div className="p-2 rounded text-center" style={{ background: PAPER }}>
          <div className="text-xs" style={{ color: "rgba(22,34,63,0.5)" }}>Grade</div>
          <div className="font-semibold" style={{ color: NAVY }}>{grade ? grade.grade : "—"}</div>
        </div>
        <div className="p-2 rounded text-center" style={{ background: feeRecord.balance > 0 ? "rgba(194,32,48,0.08)" : PAPER }}>
          <div className="text-xs" style={{ color: "rgba(22,34,63,0.5)" }}>Fee Balance</div>
          <div className="font-semibold" style={{ color: feeRecord.balance > 0 ? RED : NAVY }}>₦{(feeRecord.balance || 0).toLocaleString()}</div>
        </div>
      </div>
      {scores.length > 0 && (
        <div className="mb-3">
          <div className="text-xs font-semibold uppercase tracking-wide mb-1" style={{ color: "rgba(22,34,63,0.5)" }}>Subject Scores — {term}</div>
          {Object.entries(resultEntry).filter(([, v]) => scoreTotal(v) !== undefined).map(([subj, v]) => (
            <div key={subj} className="flex justify-between py-1 text-sm border-b" style={{ borderColor: LINE }}>
              <span>{subj}</span>
              <span className="font-semibold" style={{ color: scoreTotal(v) >= 50 ? NAVY : RED }}>{scoreTotal(v)}/100</span>
            </div>
          ))}
        </div>
      )}
      {commentEntry && commentEntry.comment && (
        <div className="text-xs italic mt-2" style={{ color: NAVY }}>&ldquo;{commentEntry.comment}&rdquo; — {commentEntry.signature}</div>
      )}
    </Card>
    {showReport && (
      <ReportCardModal
        student={{ id: student.admissionId, name: student.name, class: student.class, gender: student.gender, age: student.age }}
        data={data}
        onClose={() => setShowReport(false)}
      />
    )}
    </>
  );
}

function GuardianDashboard({ session, data }) {
  const [acadSession, setAcadSession] = useState(data.sessions[0] || "");
  const [term, setTerm] = useState(TERMS[0]);

  return (
    <div style={{ background: PAPER, minHeight: "100vh" }}>
      <TopBar title={session.name} subtitle={`Parent · ${session.studentIds.length} ${session.studentIds.length === 1 ? "child" : "children"} linked`} onLogout={data.onLogout} />
      <div className="max-w-3xl mx-auto p-4">
        <div className="flex items-center flex-wrap gap-2 mb-4">
          <h2 className="font-serif text-lg mr-auto" style={{ color: NAVY }}>All Children — Overview</h2>
          <select className="text-xs px-2 py-1 rounded" style={inputStyle} value={acadSession} onChange={e => setAcadSession(e.target.value)}>
            {data.sessions.map(s => <option key={s}>{s}</option>)}
          </select>
          <select className="text-xs px-2 py-1 rounded" style={inputStyle} value={term} onChange={e => setTerm(e.target.value)}>
            {TERMS.map(t => <option key={t}>{t}</option>)}
          </select>
        </div>
        {session.studentIds.map(id => (
          <ChildSummaryCard key={id} studentId={id} data={data} acadSession={acadSession} term={term} />
        ))}
      </div>
    </div>
  );
}

function ReportCard({ student, data, embedded }) {
  const [viewMode, setViewMode] = useState("single");
  const [acadSession, setAcadSession] = useState(data.sessions[0] || "");
  const [term, setTerm] = useState(TERMS[0]);

  const attendanceEntries = Object.entries(data.attendance).filter(([k]) => k.startsWith(`${student.class}::`));
  let present = 0, absent = 0;
  attendanceEntries.forEach(([, rec]) => {
    const st = rec[student.id];
    if (st === "present") present++;
    if (st === "absent") absent++;
  });
  const total = present + absent;

  const resultEntry = data.results[`${student.id}::${acadSession}::${term}`] || {};
  const commentEntry = data.comments[`${student.id}::${acadSession}::${term}`];

  const termResults = TERMS.map(t => data.results[`${student.id}::${acadSession}::${t}`] || {});
  const allSubjects = Array.from(new Set(termResults.flatMap(r => Object.keys(r)))).filter(subj =>
    termResults.some(r => scoreTotal(r[subj]) !== undefined)
  );
  const termTotals = termResults.map(r => {
    const scores = Object.values(r).map(v => scoreTotal(v)).filter(v => v !== undefined);
    return scores.length ? Math.round((scores.reduce((a, b) => a + b, 0) / scores.length) * 10) / 10 : null;
  });
  const validTermAverages = termTotals.filter(v => v !== null);
  const sessionAverage = validTermAverages.length ? Math.round((validTermAverages.reduce((a, b) => a + b, 0) / validTermAverages.length) * 10) / 10 : null;

  const numberInClass = data.students.filter(s => s.class === student.class).length;
  const termInfoEntry = data.termInfo[`${student.class}::${acadSession}::${term}`] || {};
  const currentScores = Object.values(resultEntry).map(v => scoreTotal(v)).filter(v => v !== undefined);
  const currentTermTotal = currentScores.reduce((a, b) => a + b, 0);
  const currentTermMax = currentScores.length * 100;
  const currentTermPct = currentScores.length ? Math.round((currentTermTotal / currentTermMax) * 1000) / 10 : null;
  const subjectsGraded = currentScores.length;

  const allTermScores = termResults.flatMap(r => Object.values(r).map(v => scoreTotal(v)).filter(v => v !== undefined));
  const grandTotalAllTerms = allTermScores.reduce((a, b) => a + b, 0);
  const grandMaxAllTerms = allTermScores.length * 100;
  const grandPctAllTerms = allTermScores.length ? Math.round((grandTotalAllTerms / grandMaxAllTerms) * 1000) / 10 : null;

  return (
    <div>
      <div id={embedded ? undefined : "report-card-print"}>
        <div className="print-header-flex items-center gap-3 mb-4 pb-4" style={{ borderBottom: `2px solid ${NAVY}` }}>
          <img src={LOGO_SRC} alt="EPHS crest" style={{ width: 48, height: 48, objectFit: "contain" }} />
          <div>
            <div className="font-serif text-lg" style={{ color: NAVY }}>Excellent Potter's Height School</div>
            <div className="text-xs" style={{ color: "rgba(22,34,63,0.6)" }}>31, Giwa Street, Magboro, Ogun State, Nigeria</div>
            <div className="text-xs font-semibold mt-1" style={{ color: RED }}>STUDENT REPORT CARD</div>
          </div>
        </div>
        <div className="text-sm mb-4 grid grid-cols-2 sm:grid-cols-3 gap-x-4 gap-y-1.5 p-3 rounded" style={{ color: NAVY, background: PAPER, border: `1px solid ${LINE}` }}>
          <div><strong>Name:</strong> {student.name}</div>
          <div><strong>Admission ID:</strong> {student.id}</div>
          <div><strong>Class:</strong> {student.class}</div>
          <div><strong>Gender:</strong> {student.gender || "—"}</div>
          <div><strong>Age:</strong> {student.age || "—"}</div>
          <div><strong>No. in Class:</strong> {numberInClass}</div>
          <div><strong>School Opened:</strong> {termInfoEntry.schoolOpened || "—"}{termInfoEntry.schoolOpened ? " times" : ""}</div>
          <div><strong>Present:</strong> {present}</div>
          <div><strong>Absent:</strong> {absent}</div>
          <div><strong>Term:</strong> {term}</div>
          <div><strong>Session:</strong> {acadSession}</div>
          <div><strong>Next Term Begins:</strong> {termInfoEntry.nextTermBegins || "—"}</div>
          <div><strong>Total (this term):</strong> {subjectsGraded ? `${currentTermTotal}/${currentTermMax}` : "—"}</div>
          <div><strong>% (this term):</strong> {currentTermPct === null ? "—" : `${currentTermPct}%`}</div>
          <div><strong>Grand Total (all terms):</strong> {allTermScores.length ? `${grandTotalAllTerms}/${grandMaxAllTerms}` : "—"}</div>
          <div><strong>% (all terms):</strong> {grandPctAllTerms === null ? "—" : `${grandPctAllTerms}%`}</div>
          <div><strong>Subjects Graded:</strong> {subjectsGraded}</div>
        </div>

        <div className="flex items-center flex-wrap gap-2 mb-4 no-print">
          <h3 className="font-serif text-lg mr-auto" style={{ color: NAVY }}>Report Card</h3>
          <div className="flex gap-1">
            {[{ k: "single", l: "Single Term" }, { k: "compound", l: "Compound (3 Terms)" }].map(m => (
              <button key={m.k} onClick={() => setViewMode(m.k)}
                className="text-xs px-2.5 py-1 rounded font-semibold"
                style={viewMode === m.k ? { background: NAVY, color: "white" } : { background: "white", color: NAVY, border: `1px solid ${LINE}` }}>
                {m.l}
              </button>
            ))}
          </div>
          <select className="text-xs px-2 py-1 rounded" style={inputStyle} value={acadSession} onChange={e => setAcadSession(e.target.value)}>
            {data.sessions.map(sess => <option key={sess}>{sess}</option>)}
          </select>
          {viewMode === "single" && (
            <select className="text-xs px-2 py-1 rounded" style={inputStyle} value={term} onChange={e => setTerm(e.target.value)}>
              {TERMS.map(t => <option key={t}>{t}</option>)}
            </select>
          )}
        </div>

        {viewMode === "single" && Object.keys(resultEntry).length === 0 && (
          <p className="text-sm" style={{ color: "rgba(22,34,63,0.5)" }}>No results recorded for {term} yet.</p>
        )}
        {viewMode === "single" && Object.keys(resultEntry).length > 0 && (
          <>
            <div className="space-y-1">
              <div className="flex justify-between py-1.5 text-xs font-semibold uppercase tracking-wide" style={{ color: "rgba(22,34,63,0.5)" }}>
                <span>Subject</span>
                <span className="flex gap-4"><span className="w-12 text-right">C/A</span><span className="w-12 text-right">Exam</span><span className="w-14 text-right">Total</span><span className="w-10 text-right">Grade</span></span>
              </div>
              {Object.entries(resultEntry).filter(([, v]) => scoreTotal(v) !== undefined).map(([subj, v]) => {
                const total = scoreTotal(v);
                const g = gradeFor(total);
                return (
                  <div key={subj} className="flex justify-between py-2 border-b text-sm" style={{ borderColor: LINE }}>
                    <span>{subj}</span>
                    <span className="flex gap-4">
                      <span className="w-12 text-right" style={{ color: "rgba(22,34,63,0.65)" }}>{scoreCA(v) ?? "—"}</span>
                      <span className="w-12 text-right" style={{ color: "rgba(22,34,63,0.65)" }}>{scoreExam(v) ?? "—"}</span>
                      <span className="w-14 text-right font-semibold" style={{ color: total >= 50 ? NAVY : RED }}>{total}/100</span>
                      <span className="w-10 text-right font-semibold" style={{ color: total >= 50 ? NAVY : RED }}>{g ? g.grade : "—"}</span>
                    </span>
                  </div>
                );
              })}
            </div>
            {(() => {
              const scores = Object.values(resultEntry).map(v => scoreTotal(v)).filter(v => v !== undefined);
              const total = scores.reduce((a, b) => a + b, 0);
              const avg = scores.length ? Math.round((total / scores.length) * 10) / 10 : 0;
              const overallGrade = gradeFor(avg);
              return (
                <div className="flex justify-between items-center mt-3 pt-3 text-sm font-semibold" style={{ borderTop: `2px solid ${NAVY}`, color: NAVY }}>
                  <span>Total: {total} / {scores.length * 100}</span>
                  <span>Average: {avg}%</span>
                  <span>Overall Grade: {overallGrade ? `${overallGrade.grade} (${overallGrade.remark})` : "—"}</span>
                </div>
              );
            })()}
            {term === "3rd Term" && (() => {
              const cumScores = termResults.flatMap(r => Object.values(r).map(v => scoreTotal(v)).filter(v => v !== undefined));
              if (cumScores.length === 0) return null;
              const cumAvg = Math.round((cumScores.reduce((a, b) => a + b, 0) / cumScores.length) * 10) / 10;
              const cumGrade = gradeFor(cumAvg);
              return (
                <div className="mt-4 p-3 rounded" style={{ background: PAPER, border: `1px solid ${LINE}` }}>
                  <div className="text-xs font-semibold uppercase tracking-wide mb-1" style={{ color: "rgba(22,34,63,0.55)" }}>Cumulative Annual Result — {acadSession}</div>
                  <div className="flex justify-between text-sm font-semibold" style={{ color: NAVY }}>
                    <span>Combined average across all 3 terms: {cumAvg}%</span>
                    <span>{cumGrade ? `Grade ${cumGrade.grade}` : ""}</span>
                  </div>
                </div>
              );
            })()}
          </>
        )}

        {viewMode === "compound" && (
          allSubjects.length === 0 ? (
            <p className="text-sm" style={{ color: "rgba(22,34,63,0.5)" }}>No results recorded for {acadSession} yet.</p>
          ) : (
            <div className="overflow-x-auto">
              <table className="w-full text-sm" style={{ borderCollapse: "collapse" }}>
                <thead>
                  <tr style={{ borderBottom: `2px solid ${NAVY}` }}>
                    <th className="text-left py-2 pr-2" style={{ color: NAVY }}>Subject</th>
                    {TERMS.map(t => <th key={t} className="text-right py-2 px-2 whitespace-nowrap" style={{ color: NAVY }}>{t}</th>)}
                  </tr>
                </thead>
                <tbody>
                  {allSubjects.map(subj => (
                    <tr key={subj} style={{ borderBottom: `1px solid ${LINE}` }}>
                      <td className="py-2 pr-2">{subj}</td>
                      {termResults.map((r, i) => {
                        const score = scoreTotal(r[subj]);
                        return (
                          <td key={i} className="text-right py-2 px-2 font-semibold" style={{ color: score === undefined ? "rgba(22,34,63,0.35)" : score >= 50 ? NAVY : RED }}>
                            {score === undefined ? "—" : score}
                          </td>
                        );
                      })}
                    </tr>
                  ))}
                  <tr style={{ borderTop: `2px solid ${NAVY}` }}>
                    <td className="py-2 pr-2 font-semibold" style={{ color: NAVY }}>Term Average</td>
                    {termTotals.map((avg, i) => (
                      <td key={i} className="text-right py-2 px-2 font-semibold" style={{ color: NAVY }}>{avg === null ? "—" : `${avg}%`}</td>
                    ))}
                  </tr>
                </tbody>
              </table>
              <div className="flex justify-end mt-3 pt-3 text-sm font-semibold" style={{ borderTop: `1px solid ${LINE}`, color: NAVY }}>
                Session Average: {sessionAverage === null ? "—" : `${sessionAverage}%`}
                {sessionAverage !== null && gradeFor(sessionAverage) && ` (Grade ${gradeFor(sessionAverage).grade})`}
              </div>
            </div>
          )
        )}

        {viewMode === "single" && commentEntry && commentEntry.comment && (
          <div className="mt-5 pt-4" style={{ borderTop: `1px solid ${LINE}` }}>
            <div className="text-xs font-semibold uppercase tracking-wide mb-1" style={{ color: "rgba(22,34,63,0.55)" }}>Head Teacher's Remarks</div>
            <p className="text-sm italic mb-2" style={{ color: NAVY }}>&ldquo;{commentEntry.comment}&rdquo;</p>
            {commentEntry.signature && (
              <div className="text-xs" style={{ color: "rgba(22,34,63,0.55)" }}>
                — {commentEntry.signature}{commentEntry.date ? `, ${commentEntry.date}` : ""}
              </div>
            )}
          </div>
        )}
      </div>
      {((viewMode === "single" && Object.keys(resultEntry).length > 0) || (viewMode === "compound" && allSubjects.length > 0)) && (
        <div className="mt-4 no-print">
          <Button onClick={() => window.print()}>Print / Save as PDF</Button>
        </div>
      )}
    </div>
  );
}

// Full-screen modal wrapper so Admin/Parent can pull up a printable report card without leaving their dashboard.
function ReportCardModal({ student, data, onClose }) {
  return (
    <div className="fixed inset-0 z-50 flex items-start justify-center overflow-y-auto p-3 sm:p-6 no-print"
      style={{ background: "rgba(13,23,48,0.55)" }}>
      <div className="w-full max-w-2xl my-4">
        <div className="flex justify-end mb-2">
          <button onClick={onClose} className="text-xs font-semibold px-3 py-1.5 rounded-full" style={{ background: "white", color: NAVY, boxShadow: CARD_SHADOW }}>
            Close ✕
          </button>
        </div>
        <Card style={{ boxShadow: "0 20px 60px rgba(0,0,0,0.35)" }}>
          <ReportCard student={student} data={data} />
        </Card>
      </div>
    </div>
  );
}

function StudentDashboard({ session, data }) {
  const [tab, setTab] = useState("results");

  const attendanceEntries = Object.entries(data.attendance).filter(([k]) => k.startsWith(`${session.class}::`));
  let present = 0, absent = 0;
  attendanceEntries.forEach(([, rec]) => {
    const st = rec[session.id];
    if (st === "present") present++;
    if (st === "absent") absent++;
  });
  const total = present + absent;
  const pct = total ? Math.round((present / total) * 100) : null;

  const feeRecord = data.fees[session.id] || { balance: 0, history: [] };

  return (
    <div style={{ background: PAPER, minHeight: "100vh" }}>
      <TopBar title={session.name} subtitle={`${session.class} · Admission ID: ${session.id}`} onLogout={data.onLogout} />
      <div className="max-w-3xl mx-auto p-4">
        <div className="flex gap-1 mb-4">
          {["results", "attendance", "fees", "admission letter"].map(t => (
            <button key={t} onClick={() => setTab(t)}
              className="px-3 py-1.5 text-xs font-semibold rounded capitalize"
              style={tab === t ? { background: NAVY, color: "white" } : { background: "white", color: NAVY, border: `1px solid ${LINE}` }}>
              {t}
            </button>
          ))}
        </div>

        {tab === "results" && (
          <Card>
            <ReportCard student={{ id: session.id, name: session.name, class: session.class, gender: session.gender, age: session.age }} data={data} />
          </Card>
        )}

        {tab === "attendance" && (
          <Card>
            <h3 className="font-serif text-lg mb-4" style={{ color: NAVY }}>Attendance Summary</h3>
            {total === 0 ? (
              <p className="text-sm" style={{ color: "rgba(22,34,63,0.5)" }}>No attendance recorded yet.</p>
            ) : (
              <>
                <div className="text-3xl font-serif mb-1" style={{ color: NAVY }}>{pct}%</div>
                <div className="text-xs mb-4" style={{ color: "rgba(22,34,63,0.55)" }}>{present} present · {absent} absent · {total} days recorded</div>
              </>
            )}
          </Card>
        )}

        {tab === "fees" && (
          <FeesPanel data={{ ...data, onLogout: data.onLogout }} setData={() => {}} save={() => {}} isAdmin={false} lockedStudentId={session.id} />
        )}

        {tab === "admission letter" && (
          <Card>
            <h3 className="font-serif text-lg mb-4" style={{ color: NAVY }}>Admission Letter</h3>
            {(() => {
              const letter = data.admissionLetters && data.admissionLetters[session.id];
              if (!letter) return <p className="text-sm" style={{ color: "rgba(22,34,63,0.5)" }}>No admission letter has been uploaded yet. Please check back later or contact the school.</p>;
              return (
                <div>
                  <p className="text-sm mb-3">Your admission letter is ready: <strong>{letter.fileName}</strong> (uploaded {letter.uploadedDate})</p>
                  <a href={letter.dataUrl} download={letter.fileName}>
                    <Button>Download Admission Letter</Button>
                  </a>
                </div>
              );
            })()}
          </Card>
        )}
      </div>
    </div>
  );
}

// ================= ROOT APP =================
function BonusShell({ children }) {
  return (
    <div style={{ minHeight: "100vh", background: NAVY_GRADIENT }} className="flex items-center justify-center px-4 py-10">
      <div className="w-full max-w-sm text-center">
        <div className="flex flex-col items-center mb-6 text-white">
          <Crest size={56} />
          <div className="font-serif text-lg mt-3">Excellent Potter's Height School</div>
        </div>
        <Card>{children}</Card>
      </div>
    </div>
  );
}

function ParentBonusPage({ data, setData, save }) {
  const [status, setStatus] = useState("enter"); // enter | checking | won | full | duplicate | notfound | error
  const [admissionId, setAdmissionId] = useState("");

  function resolveFamilyKey(idT) {
    // A parent may enter their own Parent ID, or any one of their children's Admission IDs —
    // either way, the claim is tracked against the whole family (via the Parent/Guardian ID),
    // so one family can't claim twice using different children.
    const guardian = data.guardians.find(g => g.guardianId.toLowerCase() === idT.toLowerCase());
    if (guardian) return { key: guardian.guardianId, label: guardian.name };

    const student = data.students.find(s => s.admissionId.toLowerCase() === idT.toLowerCase());
    if (!student) return null;

    const linkedGuardian = data.guardians.find(g => g.studentIds.some(sid => sid.toLowerCase() === idT.toLowerCase()));
    if (linkedGuardian) return { key: linkedGuardian.guardianId, label: linkedGuardian.name };
    return { key: student.admissionId, label: student.name };
  }

  async function claim(e) {
    if (e) e.preventDefault();
    const idT = admissionId.trim();
    if (!idT) return;
    setStatus("checking");
    try {
      const resolved = resolveFamilyKey(idT);
      if (!resolved) { setStatus("notfound"); return; }

      const fresh = await safeGet("portal:voucherScans");
      const current = fresh || { parentBonus: { count: 0, limit: 10, claimedIds: [] } };
      const pb = current.parentBonus || { count: 0, limit: 10, claimedIds: [] };
      const claimedIds = pb.claimedIds || [];

      if (claimedIds.some(x => x.toLowerCase() === resolved.key.toLowerCase())) {
        setStatus("duplicate");
        return;
      }
      if (pb.count >= pb.limit) {
        setStatus("full");
        return;
      }
      const next = { ...current, parentBonus: { ...pb, count: pb.count + 1, claimedIds: [...claimedIds, resolved.key] } };
      const ok = await safeSet("portal:voucherScans", next);
      if (!ok) { setStatus("error"); return; }
      setData(d => ({ ...d, voucherScans: next }));
      setStatus("won");
    } catch (err) {
      setStatus("error");
    }
  }

  if (status === "enter" || status === "checking") {
    return (
      <BonusShell>
        <h2 className="font-serif text-xl mb-2" style={{ color: NAVY }}>Claim Your Bonus</h2>
        <p className="text-sm mb-4" style={{ color: "rgba(22,34,63,0.6)" }}>Enter your Parent ID, or any one of your children's Admission IDs, to check if you qualify for this term's bonus.</p>
        <form onSubmit={claim}>
          <input
            className="w-full text-sm px-3 py-2 rounded mb-3 text-center"
            style={{ border: `1px solid ${LINE}`, background: PAPER }}
            placeholder="Parent ID or Admission ID"
            value={admissionId}
            onChange={e => setAdmissionId(e.target.value)}
            disabled={status === "checking"}
          />
          <Button type="submit" onClick={claim} disabled={status === "checking"}>
            {status === "checking" ? "Checking…" : "Check My Bonus"}
          </Button>
        </form>
      </BonusShell>
    );
  }
  if (status === "notfound") {
    return (
      <BonusShell>
        <p className="text-sm" style={{ color: RED }}>We couldn't find that Admission ID. Please check and try again, or contact the school office.</p>
        <div className="mt-4"><Button variant="ghost" onClick={() => setStatus("enter")}>Try Again</Button></div>
      </BonusShell>
    );
  }
  if (status === "duplicate") {
    return (
      <BonusShell>
        <div className="text-4xl mb-3">🙏</div>
        <h2 className="font-serif text-xl mb-2" style={{ color: NAVY }}>Already Claimed</h2>
        <p className="text-sm">This student's bonus has already been claimed this term.</p>
      </BonusShell>
    );
  }
  if (status === "full") {
    return (
      <BonusShell>
        <div className="text-4xl mb-3">🙏</div>
        <h2 className="font-serif text-xl mb-2" style={{ color: NAVY }}>Thank you!</h2>
        <p className="text-sm">This term's bonus quota has already been claimed by 10 parents.</p>
        <p className="text-xs mt-4" style={{ color: "rgba(22,34,63,0.55)" }}>Please check again next term.</p>
      </BonusShell>
    );
  }
  if (status === "error") {
    return (
      <BonusShell>
        <p className="text-sm" style={{ color: RED }}>Something went wrong. Please try again, or contact the school office.</p>
      </BonusShell>
    );
  }
  return (
    <BonusShell>
      <div className="text-4xl mb-3">🎉</div>
      <h2 className="font-serif text-xl mb-2" style={{ color: NAVY }}>Congratulations!</h2>

      <p className="text-base font-semibold" style={{ color: RED }}>You have earned ₦2000 credit for prompt payment.</p>
      <p className="text-xs mt-4" style={{ color: "rgba(22,34,63,0.55)" }}>Please see the school Admin office to claim this reward.</p>
    </BonusShell>
  );
}

function App() {
  const [loading, setLoading] = useState(true);
  const [session, setSession] = useState(null);
  const [data, setData] = useState(null);
  const [syncError, setSyncError] = useState(null);

  useEffect(() => {
    const interval = setInterval(() => {
      if (window.__portalLastError && window.__portalLastError !== syncError) {
        setSyncError(window.__portalLastError);
      }
    }, 1000);
    return () => clearInterval(interval);
  }, [syncError]);

  const save = useCallback(async (key, value) => { await safeSet(key, value); }, []);

  useEffect(() => {
    (async () => {
      let [students, staff, admin, classes, attendance, results, fees, comments, sessions, termInfo, admissionLetters, admissionInquiries, voucherScans, guardians, subjectsByClass, termDates] = await Promise.all([
        safeGet("portal:students"),
        safeGet("portal:staff"),
        safeGet("portal:admin"),
        safeGet("portal:classes"),
        safeGet("portal:attendance"),
        safeGet("portal:results"),
        safeGet("portal:fees"),
        safeGet("portal:comments"),
        safeGet("portal:sessions"),
        safeGet("portal:termInfo"),
        safeGet("portal:admissionLetters"),
        safeGet("portal:admissionInquiries"),
        safeGet("portal:voucherScans"),
        safeGet("portal:guardians"),
        safeGet("portal:subjectsByClass"),
        safeGet("portal:termDates"),
      ]);
      if (!students) { students = []; await safeSet("portal:students", students); }
      if (!staff) { staff = []; await safeSet("portal:staff", staff); }
      if (!admin) { admin = { adminId: "ADMIN", pin: "0000" }; await safeSet("portal:admin", admin); }
      if (!classes) { classes = DEFAULT_CLASSES; await safeSet("portal:classes", classes); }
      if (!attendance) { attendance = {}; await safeSet("portal:attendance", attendance); }
      if (!results) { results = {}; await safeSet("portal:results", results); }
      if (!fees) { fees = {}; await safeSet("portal:fees", fees); }
      if (!comments) { comments = {}; await safeSet("portal:comments", comments); }
      if (!sessions) { sessions = SESSIONS_DEFAULT; await safeSet("portal:sessions", sessions); }
      if (!termInfo) { termInfo = {}; await safeSet("portal:termInfo", termInfo); }
      if (!admissionLetters) { admissionLetters = {}; await safeSet("portal:admissionLetters", admissionLetters); }
      if (!admissionInquiries) { admissionInquiries = []; await safeSet("portal:admissionInquiries", admissionInquiries); }
      if (!voucherScans) { voucherScans = { parentBonus: { count: 0, limit: 10, claimedIds: [] } }; await safeSet("portal:voucherScans", voucherScans); }
      if (!guardians) { guardians = []; await safeSet("portal:guardians", guardians); }
      if (!subjectsByClass) { subjectsByClass = {}; await safeSet("portal:subjectsByClass", subjectsByClass); }
      if (!termDates) { termDates = {}; await safeSet("portal:termDates", termDates); }
      setData({ students, staff, admin, classes, attendance, results, fees, comments, sessions, termInfo, admissionLetters, admissionInquiries, voucherScans, guardians, subjectsByClass, termDates });
      setLoading(false);
    })();
  }, []);

  function handleLogout() {
    setSession(null);
  }

  if (loading || !data) return <Spinner />;

  const urlParams = new URLSearchParams(window.location.search);
  const bonusParam = urlParams.get("bonus");
  if (bonusParam === "parent") {
    return <><PrintStyles /><ParentBonusPage data={data} setData={setData} save={save} /></>;
  }

  const dataWithLogout = { ...data, onLogout: handleLogout };

  if (!session) {
    return <><PrintStyles /><SyncErrorBanner message={syncError} onClear={() => setSyncError(null)} />
      {<Login onLogin={setSession} data={data}
        initialRole={bonusParam === "staff" ? "teacher" : undefined}
        banner={bonusParam === "staff" ? "Log in with your Staff ID to claim your bonus." : null}
      />}
    </>;
  }

  let content;
  if (session.role === "admin") content = <AdminDashboard data={dataWithLogout} setData={setData} save={save} />;
  else if (session.role === "teacher") content = <TeacherDashboard session={session} data={dataWithLogout} setData={setData} save={save} startOnBonus={bonusParam === "staff"} />;
  else if (session.role === "guardian") content = <GuardianDashboard session={session} data={dataWithLogout} />;
  else content = <StudentDashboard session={session} data={dataWithLogout} />;

  return <><PrintStyles /><SyncErrorBanner message={syncError} onClear={() => setSyncError(null)} />{content}</>;
}

function SyncErrorBanner({ message, onClear }) {
  if (!message) return null;
  return (
    <div style={{
      position: "fixed", top: 0, left: 0, right: 0, zIndex: 999,
      background: "#c22030", color: "white", padding: "10px 16px",
      fontSize: "13px", display: "flex", alignItems: "center", gap: "12px",
    }}>
      <span style={{ flex: 1 }}><strong>Sync problem:</strong> {message}</span>
      <button onClick={onClear} style={{ background: "rgba(255,255,255,0.2)", border: "none", color: "white", padding: "4px 10px", borderRadius: "4px", fontSize: "12px" }}>Dismiss</button>
    </div>
  );
}

function PrintStyles() {
  return (
    <style>{`
      .print-header-flex, .print-header-grid { display: none; }
      @media print {
        body * { visibility: hidden; }
        #report-card-print, #report-card-print * { visibility: visible; }
        #report-card-print { position: absolute; left: 0; top: 0; width: 100%; padding: 24px; }
        .no-print { display: none !important; }
        .print-header-flex { display: flex !important; }
        .print-header-grid { display: grid !important; }
      }
    `}</style>
  );
}

const root = ReactDOM.createRoot(document.getElementById("root"));
root.render(React.createElement(App));