"""
VVT-Tabelle fuer den Email-Report — pro Vendor eine Zeile, gruppiert
nach Empfaengerkategorie (Art. 30(1)(d) DSGVO).

Ausgelagert aus agent_doc_check_extras.py (LOC-Cap). Enthaelt:
  * build_vvt_table_html — Haupteinstieg, gruppiert + summary + P60 notice
  * _render_vendor_section / _render_vendor_row_full — Zeilenrenderer
  * _link_status_badge / _flag_short — kleine Helper

P60b Fuzzy-Match: Vendors mit teilweise befuellten Feldern (z.B. Sitzland
eingetragen) fallen nicht aus der Pattern-Notice raus, nur weil ihr
Flag-Set um 1-2 Items kleiner ist. Jaccard >= 0.7 deckt das ab.
"""

from __future__ import annotations


def _category_label(kat: str) -> str:
    return {
        "necessary": "Notwendig", "strictlynecessary": "Notwendig",
        "preferences": "Praeferenzen", "functional": "Funktional",
        "statistics": "Statistik", "marketing": "Marketing",
        "unclassified": "Unklassifiziert",
    }.get((kat or "").lower(), kat or "—")


def _flag_short(f: str) -> str:
    """Lesbare deutsche Form fuer einen Flag-Token."""
    labels = {
        "no_cookies_listed":  "Cookies fehlen",
        "no_country":         "Sitzland fehlt",
        "no_privacy_url":     "Privacy-Link fehlt",
        "broken_privacy_url": "Privacy-Link broken",
        "no_opt_out_url":     "Opt-Out fehlt",
        "broken_opt_out":     "Opt-Out broken",
    }
    return labels.get(f, f)


def _link_status_badge(
    url: str | None,
    ok: bool | None,
    status: int | None,
    na_label: str | None = None,
) -> str:
    if not url:
        if na_label:
            return ('<span style="color:#94a3b8;font-size:11px" '
                    f'title="{na_label}">&mdash;</span>')
        return ('<span style="color:#dc2626;font-size:11px" '
                'title="Kein Link">&#10007;</span>')
    if ok:
        return ('<span style="color:#16a34a;font-size:11px" '
                f'title="HTTP {status}">&#10003;</span>')
    status_str = str(status) if status else "?"
    return ('<span style="color:#dc2626;font-size:11px" '
            f'title="HTTP {status_str}">&#10007; ({status_str})</span>')


def _build_pattern_notice(vendors: list[dict]) -> str:
    """P60 + P60b: globale Notice wenn viele Vendors aehnliche Flag-Sets haben.

    Mutiert vendors[].`_actions_in_global_notice` so dass die Zeilenrenderer
    redundante per-row-Actions ueberspringen koennen.
    """
    from collections import Counter
    flag_sets: Counter = Counter()
    for v in vendors:
        flags = v.get("compliance_flags") or []
        if flags:
            flag_sets[tuple(sorted(flags))] += 1
    if not flag_sets:
        return ""

    most_common, _ = flag_sets.most_common(1)[0]
    most_common_set = set(most_common)

    def _similar(flags: tuple) -> bool:
        fs = set(flags)
        if not fs or not most_common_set:
            return False
        inter = len(fs & most_common_set)
        union = len(fs | most_common_set)
        return union > 0 and (inter / union) >= 0.7

    n_match = sum(cnt for fs, cnt in flag_sets.items() if _similar(fs))
    share = n_match / max(1, len(vendors))
    if not (n_match >= 8 and share >= 0.5):
        return ""

    from compliance.services.finding_action_recipes import recipe_for
    labels = [_flag_short(f) for f in most_common]
    shared_actions: list[str] = []
    for f in most_common:
        rec = recipe_for(f)
        if rec:
            shared_actions.append(
                f'<li><strong>{_flag_short(f)}:</strong> '
                f'{rec.get("fix_text", "").splitlines()[0][:180]}</li>'
            )

    for v in vendors:
        if _similar(tuple(sorted(v.get("compliance_flags") or []))):
            v["_actions_in_global_notice"] = True

    return (
        f'<div style="margin:8px 0 12px;padding:10px 14px;'
        f'background:#fef3c7;border-left:3px solid #d97706;'
        f'border-radius:4px;font-size:11px;color:#92400e">'
        f'<strong>Wiederkehrendes Muster ({n_match} von {len(vendors)} '
        f'Anbietern, {int(share*100)}%):</strong> '
        f'Bei diesen Anbietern fehlen jeweils: '
        f'<em>{", ".join(labels)}</em>. '
        f'Vermutlich systembedingt (z.B. Settings-Export liefert '
        f'nur Namen, oder Banner-API blockiert Detail-Extraktion). '
        f'Die globalen Empfehlungen unten gelten fuer all diese Eintraege; '
        f'in der Tabelle werden sie nicht pro Zeile wiederholt.'
        + (f'<ul style="margin:8px 0 0 0;padding-left:20px">{"".join(shared_actions)}</ul>'
           if shared_actions else '')
        + '</div>'
    )


def build_vvt_table_html(vendors: list[dict]) -> str:
    """Render per-vendor VVT-style table for the email."""
    if not vendors:
        return ""

    from compliance.services.vendor_classifier import RECIPIENT_TYPE_SECTIONS

    by_type: dict[str, list[dict]] = {}
    for v in vendors:
        rt = (v.get("recipient_type") or "OTHER").upper()
        by_type.setdefault(rt, []).append(v)

    n_total = len(vendors)
    n_internal = sum(
        1 for v in vendors
        if (v.get("recipient_type") or "").upper() in ("INTERNAL", "GROUP_COMPANY")
    )
    n_external = n_total - n_internal
    n_critical = sum(1 for v in vendors if v.get("compliance_score", 0) < 50)

    summary_parts = [f"{n_total} Verarbeitungen erfasst"]
    if n_internal and n_external:
        summary_parts.append(
            f"&mdash; {n_internal} eigene + {n_external} externe Empfaenger"
        )
    if n_critical:
        summary_parts.append(
            f', <strong style="color:#dc2626">{n_critical} unter 50%</strong>'
        )
    else:
        summary_parts.append("&mdash; alle ueber 50%")
    summary = " ".join(summary_parts)

    pattern_notice = _build_pattern_notice(vendors)

    out: list[str] = [
        '<div style="font-family:-apple-system,BlinkMacSystemFont,sans-serif;'
        'max-width:760px;margin:0 auto 16px;padding:12px 16px;'
        'background:#fafafa;border:1px solid #e5e7eb;border-radius:8px">',
        '<h3 style="margin:0 0 4px;font-size:14px;color:#334155">'
        'Vorschlag fuer das Verarbeitungsverzeichnis (Art. 30 DSGVO)</h3>',
        # P91: Co-Pilot-Tonalitaet — Wahrscheinlichkeit statt Garantie,
        # Empfehlung statt "Verstoss-Liste".
        f'<p style="margin:0 0 8px;font-size:11px;color:#6b7280;line-height:1.5">'
        f'Wir haben <strong>{n_total} Verarbeitungen</strong> aus dem '
        f'Cookie-Banner abgeleitet, mit unserer globalen Anbieter-Bibliothek '
        f'abgeglichen und nach Empfaengerkategorie (Art. 30(1)(d) DSGVO) '
        f'gruppiert. Bei einer Reduktion der eingebundenen Anbieter, dem '
        f'Wechsel zu europaeischen Alternativen und konsequenter Pruefung '
        f'der tatsaechlich benoetigten Cookies ist eine Reduktion des '
        f'Tracking-Footprints sowie Lizenz-Einsparungen wahrscheinlich. '
        f'Eine fundierte Bewertung erfordert die Abstimmung mit dem '
        f'Datenschutzbeauftragten.</p>'
        f'<p style="margin:0 0 10px;font-size:11px;color:#6b7280">'
        f'{summary}. Innerhalb jeder Gruppe nach Verbesserungspotenzial '
        f'sortiert. Bei eigenen Verarbeitungen (INTERNAL/GROUP) sind '
        f'Opt-Out und Privacy-Link '
        'NICHT als Pflicht gewertet &mdash; der Widerruf erfolgt ueber das '
        'nicht erforderlich (Widerruf ueber Banner, Privacy in der '
        'Haupt-Datenschutzerklaerung dokumentiert).</p>',
        pattern_notice,
    ]

    for rtype, section_label in RECIPIENT_TYPE_SECTIONS:
        rows = by_type.get(rtype) or []
        if not rows:
            continue
        rows = sorted(rows, key=lambda v: v.get("compliance_score", 0))
        n = len(rows)
        n_bad = sum(1 for v in rows if v.get("compliance_score", 0) < 50)
        bad_hint = (f' <span style="color:#dc2626">({n_bad} unter 50%)</span>'
                    if n_bad else "")
        out.append(
            f'<h4 style="margin:14px 0 4px;font-size:12px;color:#1e293b;'
            f'border-top:1px solid #e2e8f0;padding-top:8px">'
            f'{section_label} <span style="color:#94a3b8;font-weight:400">'
            f'({n}){bad_hint}</span></h4>'
        )
        out.append(_render_vendor_section(rows))

    out.append('</div>')
    return "".join(out)


def _render_vendor_section(rows: list[dict]) -> str:
    body: list[str] = [
        '<table style="width:100%;border-collapse:collapse;font-size:11px">'
        '<thead><tr style="background:#f1f5f9;color:#475569;text-align:left">'
        '<th style="padding:5px 8px">Name</th>'
        '<th style="padding:5px 8px">Kategorie</th>'
        '<th style="padding:5px 8px">Sitz</th>'
        '<th style="padding:5px 8px;text-align:center">Cookies</th>'
        '<th style="padding:5px 8px;text-align:center">Opt-Out</th>'
        '<th style="padding:5px 8px;text-align:center">Privacy</th>'
        '<th style="padding:5px 8px;text-align:right">Score</th>'
        '</tr></thead><tbody>',
    ]
    for v in rows:
        body.append(_render_vendor_row_full(v))
    body.append('</tbody></table>')
    return "".join(body)


def _render_vendor_row_full(v: dict) -> str:
    rtype = (v.get("recipient_type") or "OTHER").upper()
    is_own = rtype in ("INTERNAL", "GROUP_COMPANY")
    cat = (v.get("category") or "").lower()
    is_necessary = cat in ("necessary", "strictlynecessary")

    name = v.get("name") or "Unbekannt"
    category = _category_label(v.get("category", ""))
    country = v.get("country") or "—"
    cookies = v.get("cookies") or []
    n_cookies = len(cookies)
    score = int(v.get("compliance_score", 0))
    flags = v.get("compliance_flags") or []

    opt_na_reason = ("Nicht erforderlich (eigene Verarbeitung — "
                     "Widerruf ueber Cookie-Banner)") if is_own else (
        "Nicht erforderlich (§25 Abs. 2 TDDDG — technisch notwendig)"
        if is_necessary else None
    )
    opt_status = _link_status_badge(
        v.get("opt_out_url"), v.get("opt_out_ok"), v.get("opt_out_status"),
        na_label=opt_na_reason,
    )
    privacy_na_reason = (
        "Nicht erforderlich (eigene Verarbeitung — durch Haupt-DSI abgedeckt)"
        if is_own else None
    )
    privacy_status = _link_status_badge(
        v.get("privacy_policy_url"), v.get("privacy_ok"),
        v.get("privacy_status"), na_label=privacy_na_reason,
    )
    score_color = ("#16a34a" if score >= 80 else
                   "#d97706" if score >= 50 else "#dc2626")

    n_criteria = 3 if is_own else 5
    n_failed = len(flags) if flags else 0
    score_tooltip = (
        f"{n_criteria - n_failed} von {n_criteria} Kriterien erfuellt"
        + (f" — fehlt: {', '.join(_flag_short(f) for f in flags[:3])}"
           if flags else "")
    )

    actions_html = ""
    skip_actions = bool(v.get("_actions_in_global_notice"))
    if flags and not skip_actions:
        from compliance.services.finding_action_recipes import recipe_for
        action_items = []
        for f in flags:
            rec = recipe_for(f)
            if not rec:
                continue
            action_items.append(
                f'<li style="margin-bottom:6px"><strong>{_flag_short(f)}:</strong> '
                f'{rec.get("what", "")}<br/>'
                f'<span style="color:#475569"><strong>Was tun:</strong> '
                f'{rec.get("fix_text", "").splitlines()[0][:200]}</span><br/>'
                f'<span style="color:#94a3b8;font-size:9px">Quelle: '
                f'{rec.get("why", "")[:160]}</span></li>'
            )
        if action_items:
            actions_html = (
                f'<details style="margin-top:4px"><summary style="cursor:pointer;'
                f'color:#dc2626;font-size:10px">Was muss ich tun? '
                f'({len(action_items)} Action{"s" if len(action_items) != 1 else ""})</summary>'
                f'<ul style="margin:4px 0 0 14px;padding:0;font-size:10px;color:#1e293b">'
                + "".join(action_items)
                + '</ul></details>'
            )

    flag_str = ""
    if flags:
        flag_str = (
            f'<div style="font-size:10px;color:#94a3b8;margin-top:2px">'
            f'{", ".join(flags[:4])}</div>'
            f'{actions_html}'
        )
    risk = v.get("compliance_risk") or {}
    risk_label = risk.get("label") or ""
    risk_badge = ""
    if risk_label and risk_label != "unklar":
        rc = {
            "kritisch": ("#dc2626", "#fff"),
            "hoch":     ("#fecaca", "#991b1b"),
            "mittel":   ("#fde68a", "#92400e"),
            "gering":   ("#d1fae5", "#065f46"),
        }.get(risk_label, ("#e5e7eb", "#475569"))
        risk_badge = (f'<span style="margin-left:6px;padding:1px 5px;border-radius:3px;font-size:9px;'
                      f'background:{rc[0]};color:{rc[1]}">Risk: {risk_label}</span>')
    return (
        f'<tr style="border-top:1px solid #e2e8f0">'
        f'<td style="padding:6px 8px;color:#1e293b;font-size:11px">'
        f'{name}{risk_badge}{flag_str}</td>'
        f'<td style="padding:6px 8px;color:#475569;font-size:11px">{category}</td>'
        f'<td style="padding:6px 8px;color:#475569;font-size:11px">{country}</td>'
        f'<td style="padding:6px 8px;text-align:center;color:#475569;font-size:11px">'
        f'{n_cookies}</td>'
        f'<td style="padding:6px 8px;text-align:center">{opt_status}</td>'
        f'<td style="padding:6px 8px;text-align:center">{privacy_status}</td>'
        f'<td style="padding:6px 8px;text-align:right;font-weight:600;'
        f'color:{score_color};font-size:11px" title="{score_tooltip}">'
        f'{score}%<div style="font-size:9px;font-weight:400;color:#94a3b8">'
        f'{n_criteria - n_failed}/{n_criteria}</div></td>'
        f'</tr>'
    )