# -*- coding: utf-8 -*-
import html
from typing import Any, Dict, List

from markupsafe import Markup

from utils.html_template_renderer import HtmlTemplateRenderer


def _escape(value: Any) -> str:
    return html.escape(str(value or ""))


def _render_metric_card(label: str, value: Any, hint: str = "") -> str:
    return (
        '<div class="metric-card">'
        f'<div class="metric-label">{_escape(label)}</div>'
        f'<div class="metric-value">{_escape(value)}</div>'
        f'<div class="metric-hint">{_escape(hint)}</div>'
        "</div>"
    )


def _render_list(items: List[str], item_class: str = "bullet-list") -> str:
    if not items:
        return ""
    lis = "".join(f'<li>{_escape(item)}</li>' for item in items if str(item or "").strip())
    return f'<ul class="{item_class}">{lis}</ul>' if lis else ""


def _split_summary_blocks(danmu_summary: str) -> tuple[str, List[str], List[str]]:
    # 这里把 LLM 返回的弹幕总结拆成三部分：
    # 1) lead: 顶部总述段落
    # 2) insight_items: 常规的复盘要点（运营/观察视角）
    # 3) fans_extract_items: 专门给粉丝看的“弹幕萃取”要点
    # 约定：当检测到“【粉丝向弹幕萃取】”或同义标记后，后续条目归入 fans_extract_items。
    lead_parts = []
    insight_items = []
    fans_extract_items = []
    in_fans_extract_block = False
    for line in str(danmu_summary or "").splitlines():
        stripped = line.strip()
        if not stripped:
            continue
        # 兼容不同模型可能产出的标题样式，尽量把粉丝向内容稳定识别出来。
        if stripped.startswith("【粉丝向弹幕萃取】") or stripped.startswith("粉丝向弹幕萃取") or stripped.startswith("给粉丝看的弹幕萃取"):
            in_fans_extract_block = True
            continue
        if stripped.startswith("- "):
            if in_fans_extract_block:
                fans_extract_items.append(stripped[2:].strip())
            else:
                insight_items.append(stripped[2:].strip())
        else:
            # 非 bullet 文本在粉丝区块中也保留，避免模型偶发输出短段落导致信息丢失。
            if in_fans_extract_block:
                fans_extract_items.append(stripped)
            else:
                lead_parts.append(stripped)
    lead = " ".join(lead_parts).strip()
    return lead, insight_items, fans_extract_items


def _normalize_summary_bullets(payload: Dict[str, Any], items: List[str], target_count: int = 5) -> List[str]:
    normalized = [str(item or "").strip() for item in items if str(item or "").strip()]
    if len(normalized) >= target_count:
        return normalized[:target_count]

    top_terms = [str(item.get("term") or "").strip() for item in (payload.get("top_terms", []) or []) if str(item.get("term") or "").strip()]
    merged_templates = [str(item.get("text") or "").strip() for item in (payload.get("merged_templates", []) or []) if str(item.get("text") or "").strip()]
    peak_buckets = payload.get("peak_buckets", []) or []
    representative_messages = payload.get("representative_messages", []) or []

    supplements: List[str] = []
    if top_terms:
        supplements.append(f"讨论焦点比较集中，弹幕反复围绕 {'、'.join(top_terms[:5])} 展开。")
    if merged_templates:
        sample_templates = "；".join(text[:24] for text in merged_templates[:3])
        supplements.append(f"复读和共识梗比较强，重复内容主要集中在 {sample_templates}。")
    if peak_buckets:
        top_bucket = peak_buckets[0]
        bucket_terms = [str(term.get('term') or '').strip() for term in (top_bucket.get("top_terms", []) or []) if str(term.get('term') or '').strip()]
        if bucket_terms:
            supplements.append(
                f"高峰时段出现在 {str(top_bucket.get('start_time') or '')[-8:-3]} 前后，话题明显偏向 {'、'.join(bucket_terms[:4])}。"
            )
    if representative_messages:
        supplements.append("代表性发言里既有操作反馈，也有玩梗调侃和情绪宣泄，互动意愿比较强。")

    existing = set(normalized)
    for item in supplements:
        if item not in existing:
            normalized.append(item)
            existing.add(item)
        if len(normalized) >= target_count:
            break
    return normalized[:target_count]


def _normalize_fans_extract_bullets(payload: Dict[str, Any], items: List[str], target_count: int = 6) -> List[str]:
    # 粉丝向萃取强调“现场感”，优先保留模型给出的条目；
    # 不足时再从代表弹幕/重复梗中补齐，避免页面出现空区块。
    normalized = [str(item or "").strip() for item in items if str(item or "").strip()]
    if len(normalized) >= target_count:
        return normalized[:target_count]

    supplements: List[str] = []
    representative_messages = payload.get("representative_messages", []) or []
    repeated_messages = payload.get("repeated_messages", []) or []
    burst_terms = payload.get("burst_terms", []) or []

    for item in representative_messages[:8]:
        nickname = str(item.get("nickname") or "").strip() or "观众"
        content = str(item.get("content") or "").strip()
        if not content:
            continue
        supplements.append(f"{nickname}：{content[:46]}")

    for item in repeated_messages[:6]:
        text = str(item.get("text") or "").strip()
        count = int(item.get("count", 0) or 0)
        if text:
            supplements.append(f"复读梗「{text[:34]}」出现 {count} 次。")

    for item in burst_terms[:4]:
        text = str(item.get("text") or "").strip()
        count = int(item.get("count", 0) or 0)
        if text:
            supplements.append(f"情绪短词「{text}」集中刷了 {count} 次。")

    existing = set(normalized)
    for item in supplements:
        if item not in existing:
            normalized.append(item)
            existing.add(item)
        if len(normalized) >= target_count:
            break
    return normalized[:target_count]


def _build_template_items(payload: Dict[str, Any], limit: int = 8) -> List[str]:
    items: List[str] = []
    seen = set()

    def push(text: str, suffix: str = "") -> None:
        value = str(text or "").strip()
        if not value:
            return
        normalized_key = value
        if normalized_key in seen:
            return
        seen.add(normalized_key)
        items.append(f"{value}{suffix}".strip())

    for item in (payload.get("merged_templates", []) or [])[:6]:
        text = str(item.get("text") or "").strip()
        count = int(item.get("count", 0) or 0)
        if text:
            push(text[:72], f"（{count}次）")

    for item in (payload.get("repeated_messages", []) or [])[:6]:
        text = str(item.get("text") or "").strip()
        count = int(item.get("count", 0) or 0)
        if text:
            push(text[:72], f"（{count}次）")

    for item in (payload.get("burst_terms", []) or [])[:6]:
        text = str(item.get("text") or "").strip()
        count = int(item.get("count", 0) or 0)
        if text:
            push(text[:36], f"（爆发 {count} 次）")

    for item in (payload.get("top_terms", []) or [])[:6]:
        term = str(item.get("term") or "").strip()
        count = int(item.get("count", 0) or 0)
        if term:
            push(term, f"（{count}次提及）")

    return items[:limit]


def _render_insight_cards(items: List[str]) -> str:
    labels = ["主线", "情绪", "梗点", "节奏", "反馈", "补充"]
    blocks = []
    for idx, item in enumerate(items[:6]):
        extra_class = " full-span" if len(items[:6]) % 2 == 1 and idx == len(items[:6]) - 1 else ""
        blocks.append(
            f'<div class="insight-card{extra_class}">'
            f'<div class="insight-kicker">{_escape(labels[idx] if idx < len(labels) else "观察")}</div>'
            f'<div class="insight-text">{_escape(item)}</div>'
            "</div>"
        )
    return "".join(blocks)


def _render_badges(top_badges: List[Dict[str, Any]]) -> str:
    blocks = []
    for item in top_badges[:6]:
        badge_name = str(item.get("badge_name") or "").strip()
        if not badge_name:
            continue
        blocks.append(
            '<div class="badge-chip">'
            f'<span class="badge-name">{_escape(badge_name)}</span>'
            f'<span class="badge-meta">{_escape(item.get("user_count", 0))}人 / {_escape(item.get("message_count", 0))}条</span>'
            "</div>"
        )
    return "".join(blocks)


def _render_hot_times(peak_buckets: List[Dict[str, Any]]) -> str:
    blocks = []
    for item in peak_buckets[:3]:
        start_time = str(item.get("start_time") or "")[-8:-3]
        terms = [str(term.get("term") or "").strip() for term in (item.get("top_terms", []) or [])[:4]]
        terms = [term for term in terms if term]
        blocks.append(
            '<div class="hot-card">'
            f'<div class="hot-time">{_escape(start_time)}</div>'
            f'<div class="hot-count">{_escape(item.get("message_count", 0))} 条弹幕</div>'
            f'<div class="hot-terms">{_escape(" / ".join(terms))}</div>'
            "</div>"
        )
    return "".join(blocks)


def _render_active_users(top_active_users: List[Dict[str, Any]]) -> str:
    blocks = []
    for item in top_active_users[:10]:
        nickname = str(item.get("nickname") or item.get("uid") or "").strip()
        fans_name = str(item.get("fans_name") or "").strip()
        fans_level = int(item.get("fans_level", 0) or 0)
        room_level = int(item.get("room_level", 0) or 0)
        message_count = int(item.get("message_count", 0) or 0)

        chips = []
        if fans_name:
            fans_label = f"{fans_name} Lv{fans_level}" if fans_level > 0 else fans_name
            chips.append(f'<span class="user-chip fans">{_escape(fans_label)}</span>')
        if room_level > 0:
            chips.append(f'<span class="user-chip room">{_escape(f"平台 Lv{room_level}")}</span>')
        meta_html = "".join(chips) if chips else '<span class="user-chip plain">普通观众</span>'

        blocks.append(
            '<div class="active-user-card">'
            '<div class="active-user-top">'
            f'<div class="active-user-name">{_escape(nickname)}</div>'
            f'<div class="active-user-count">{_escape(message_count)}<span>条</span></div>'
            '</div>'
            f'<div class="active-user-meta">{meta_html}</div>'
            '</div>'
        )
    return "".join(blocks)


def _render_audience_trend_chart(audience_trend: Dict[str, Any]) -> str:
    points = audience_trend.get("points", []) or []
    if len(points) < 2:
        return (
            '<div class="chart-empty">'
            '<div class="chart-empty-title">人数趋势</div>'
            '<div class="chart-empty-desc">当前直播场次还没有足够的 WS 采样点，暂时无法绘制趋势图。</div>'
            '</div>'
        )

    width = 820
    height = 276
    padding_left = 62
    padding_right = 64
    padding_top = 24
    padding_bottom = 38
    plot_width = width - padding_left - padding_right
    plot_height = height - padding_top - padding_bottom

    summary = audience_trend.get("summary", {}) or {}

    def _compress_chart_points(raw_points: List[Dict[str, Any]], max_points: int = 36) -> List[Dict[str, Any]]:
        if len(raw_points) <= max_points:
            return list(raw_points)
        bucket_size = max(len(raw_points) / max_points, 1)
        compressed: List[Dict[str, Any]] = []
        for idx in range(max_points):
            start = int(round(idx * bucket_size))
            end = int(round((idx + 1) * bucket_size))
            bucket = raw_points[start:end] or raw_points[start:start + 1]
            if not bucket:
                continue
            compressed.append(dict(bucket[-1]))
        first = raw_points[0]
        last = raw_points[-1]
        if compressed:
            compressed[0] = dict(first)
            compressed[-1] = dict(last)
        return compressed

    chart_points = _compress_chart_points(points, max_points=36)
    vip_values = [int(item.get("vip_count", 0) or 0) for item in chart_points]
    diamond_values = [int(item.get("diamond_count", 0) or 0) for item in chart_points]
    labels = [str(item.get("timestamp") or "")[-8:-3] for item in chart_points]

    vip_min = min(vip_values)
    vip_max = max(vip_values)
    diamond_min = min(diamond_values)
    diamond_max = max(diamond_values)
    vip_padding = max(int((vip_max - vip_min) * 0.12), 60)
    diamond_padding = 1 if diamond_max - diamond_min <= 2 else max(int((diamond_max - diamond_min) * 0.2), 1)
    vip_display_min = max(vip_min - vip_padding, 0)
    vip_display_max = vip_max + vip_padding
    diamond_display_min = max(diamond_min - diamond_padding, 0)
    diamond_display_max = diamond_max + diamond_padding
    vip_span = max(vip_display_max - vip_display_min, 1)
    diamond_span = max(diamond_display_max - diamond_display_min, 1)
    step_x = plot_width / max(len(chart_points) - 1, 1)
    bar_width = max(min(step_x * 0.58, 18), 6)

    def x_at(index: int) -> float:
        return padding_left + step_x * index

    def y_vip(value: int) -> float:
        ratio = (value - vip_display_min) / vip_span if vip_span else 0
        return padding_top + plot_height - ratio * plot_height

    def y_diamond(value: int) -> float:
        ratio = (value - diamond_display_min) / diamond_span if diamond_span else 0
        return padding_top + plot_height - ratio * plot_height

    grid_lines = []
    left_ticks = []
    right_ticks = []
    for idx in range(5):
        ratio = idx / 4
        y = padding_top + plot_height - ratio * plot_height
        vip_tick = round(vip_display_min + vip_span * ratio)
        diamond_tick = round(diamond_display_min + diamond_span * ratio)
        grid_lines.append(
            f'<line x1="{padding_left}" y1="{y:.1f}" x2="{width - padding_right}" y2="{y:.1f}" class="chart-grid" />'
        )
        left_ticks.append(
            f'<text x="{padding_left - 10}" y="{y + 4:.1f}" text-anchor="end" class="axis-label axis-left">{vip_tick}</text>'
        )
        right_ticks.append(
            f'<text x="{width - padding_right + 10}" y="{y + 4:.1f}" text-anchor="start" class="axis-label axis-right">{diamond_tick}</text>'
        )

    bars = []
    line_points = []
    dot_points = []
    label_marks = []
    annotations = []
    if len(chart_points) <= 12:
        label_indexes = list(range(len(chart_points)))
    else:
        label_indexes = sorted(set([0, len(chart_points) - 1] + [int(round((len(chart_points) - 1) * i / 6)) for i in range(1, 6)]))
    vip_peak_index = vip_values.index(vip_max)
    vip_valley_index = vip_values.index(vip_min)
    diamond_latest_index = len(chart_points) - 1
    for idx, item in enumerate(chart_points):
        x = x_at(idx)
        vip_y = y_vip(int(item.get("vip_count", 0) or 0))
        diamond_y = y_diamond(int(item.get("diamond_count", 0) or 0))
        bar_height = padding_top + plot_height - vip_y
        bars.append(
            f'<rect x="{x - bar_width / 2:.1f}" y="{vip_y:.1f}" width="{bar_width:.1f}" height="{bar_height:.1f}" rx="7" class="vip-bar" />'
        )
        line_points.append(f"{x:.1f},{diamond_y:.1f}")
        dot_points.append(f'<circle cx="{x:.1f}" cy="{diamond_y:.1f}" r="3.5" class="diamond-dot" />')
        if idx in label_indexes:
            label_marks.append(
                f'<text x="{x:.1f}" y="{height - 16}" text-anchor="middle" class="time-label">{_escape(labels[idx])}</text>'
            )
        if idx == vip_peak_index:
            annotations.append(
                f'<g class="chart-annotation">'
                f'<text x="{x:.1f}" y="{max(vip_y - 16, 18):.1f}" text-anchor="middle" class="value-label vip">峰值 {vip_max}</text>'
                f'<text x="{x:.1f}" y="{max(vip_y - 2, 30):.1f}" text-anchor="middle" class="value-sub-label vip">{_escape(labels[idx])}</text>'
                f'</g>'
            )
        elif idx == vip_valley_index and vip_min != vip_max:
            annotations.append(
                f'<g class="chart-annotation">'
                f'<text x="{x:.1f}" y="{min(vip_y + 18, padding_top + plot_height - 18):.1f}" text-anchor="middle" class="value-label vip soft">低点 {vip_min}</text>'
                f'<text x="{x:.1f}" y="{min(vip_y + 32, padding_top + plot_height - 6):.1f}" text-anchor="middle" class="value-sub-label vip soft">{_escape(labels[idx])}</text>'
                f'</g>'
            )
        if idx == diamond_latest_index:
            annotations.append(
                f'<g class="chart-annotation">'
                f'<text x="{min(x + 10, width - padding_right - 6):.1f}" y="{max(diamond_y - 14, 18):.1f}" text-anchor="start" class="value-label diamond">最新 {int(item.get("diamond_count", 0) or 0)}</text>'
                f'<text x="{min(x + 10, width - padding_right - 6):.1f}" y="{max(diamond_y, 30):.1f}" text-anchor="start" class="value-sub-label diamond">{_escape(labels[idx])}</text>'
                f'</g>'
            )

    polyline = f'<polyline points="{" ".join(line_points)}" class="diamond-line" />'
    vip_latest = int(summary.get("vip_latest", vip_values[-1]) or 0)
    diamond_latest = int(summary.get("diamond_latest", diamond_values[-1]) or 0)
    session_start = str(summary.get("session_start") or "")
    first_point_time = str(summary.get("first_point_time") or "")
    leading_gap_minutes = int(summary.get("leading_gap_minutes", 0) or 0)
    note_text = ""
    if session_start and first_point_time and leading_gap_minutes >= 20:
        note_text = f"采样起点 {first_point_time[-8:-3]}，早于该时段的人数数据未记录"

    return f"""
    <div class="chart-wrap">
        <div class="chart-head">
            <div class="chart-title">贵宾 / 钻粉趋势</div>
            <div class="chart-legend">
                <span class="legend-item"><span class="legend-swatch vip"></span>贵宾柱状</span>
                <span class="legend-item"><span class="legend-swatch diamond"></span>钻粉折线</span>
                <span class="legend-meta">最新：贵宾 {_escape(vip_latest)} / 钻粉 {_escape(diamond_latest)}</span>
            </div>
        </div>
        {'<div class="chart-note">' + _escape(note_text) + '</div>' if note_text else ''}
        <svg viewBox="0 0 {width} {height}" class="audience-chart" role="img" aria-label="贵宾与钻粉趋势图">
            <defs>
                <linearGradient id="vipBarGradient" x1="0" y1="0" x2="0" y2="1">
                    <stop offset="0%" stop-color="#2b59ff" stop-opacity="0.95" />
                    <stop offset="100%" stop-color="#7aa2ff" stop-opacity="0.72" />
                </linearGradient>
                <linearGradient id="diamondLineGradient" x1="0" y1="0" x2="1" y2="0">
                    <stop offset="0%" stop-color="#f59e0b" />
                    <stop offset="100%" stop-color="#ffd166" />
                </linearGradient>
            </defs>
            <rect x="0" y="0" width="{width}" height="{height}" rx="24" class="chart-bg" />
            {''.join(grid_lines)}
            <line x1="{padding_left}" y1="{padding_top + plot_height:.1f}" x2="{width - padding_right}" y2="{padding_top + plot_height:.1f}" class="chart-axis" />
            <line x1="{padding_left}" y1="{padding_top}" x2="{padding_left}" y2="{padding_top + plot_height:.1f}" class="chart-axis soft" />
            <line x1="{width - padding_right}" y1="{padding_top}" x2="{width - padding_right}" y2="{padding_top + plot_height:.1f}" class="chart-axis soft" />
            {''.join(left_ticks)}
            {''.join(right_ticks)}
            {''.join(bars)}
            {polyline}
            {''.join(dot_points)}
            {''.join(annotations)}
            {''.join(label_marks)}
        </svg>
    </div>
    """


def render_daily_report_html(
    payload: Dict[str, Any],
    danmu_summary: str,
    operator_summary_lines: List[str],
) -> str:
    meta = payload.get("report_meta", {}) or {}
    operator = payload.get("operator_metrics", {}) or {}
    title_name = str(meta.get("nickname") or meta.get("room_name") or meta.get("room_id") or "主播")
    subtitle = (
        f"{meta.get('anchor_day', '')}  |  场次 {meta.get('session_count', 0)}"
        f"  |  弹幕 {meta.get('message_count', 0)}  |  活跃用户 {meta.get('unique_user_count', 0)}"
    )

    metrics_html = "".join([
        _render_metric_card("活跃用户", meta.get("unique_user_count", 0), "当天参与弹幕的去重人数"),
        _render_metric_card("带牌活跃", operator.get("fans_badge_user_count", 0), "带粉丝牌发言用户"),
        _render_metric_card("10+粉丝牌", operator.get("high_fans_level_user_count", 0), "高粘性活跃用户"),
        _render_metric_card("30+等级用户", operator.get("high_room_level_user_count", 0), "高等级老观众"),
    ])

    template_items = _build_template_items(payload)
    top_active_users = payload.get("operator_metrics", {}).get("top_active_users", []) or []
    audience_trend = payload.get("audience_trend", {}) or {}

    lead_summary, danmu_bullets, fans_extract_bullets = _split_summary_blocks(danmu_summary)
    danmu_bullets = _normalize_summary_bullets(payload, danmu_bullets, target_count=5)
    fans_extract_bullets = _normalize_fans_extract_bullets(payload, fans_extract_bullets, target_count=6)

    # 模板化渲染：
    # 1. 报告样式和结构迁移到独立 HTML 模板文件；
    # 2. Python 仅负责准备数据与片段，后续改 UI 只改模板即可。
    renderer = HtmlTemplateRenderer()
    return renderer.render(
        "plugins/douyu/templates/daily_report.html",
        {
            "title_name": title_name,
            "subtitle": subtitle,
            # 下列片段由当前函数内辅助方法生成，文本内容已做转义，可安全注入模板。
            "metrics_html": Markup(metrics_html),
            "lead_summary": lead_summary,
            "danmu_insights_html": Markup(_render_insight_cards(danmu_bullets)),
            "fans_extract_html": Markup(_render_list(fans_extract_bullets, item_class="fans-list")),
            "template_items_html": Markup(_render_list(template_items)),
            "hot_times_html": Markup(_render_hot_times(payload.get("peak_buckets", []) or [])),
            "audience_trend_html": Markup(_render_audience_trend_chart(audience_trend)),
            "operator_summary_html": Markup(_render_list(operator_summary_lines)),
            "badges_html": Markup(_render_badges(operator.get("top_badges", []) or [])),
            "active_users_html": Markup(_render_active_users(top_active_users)),
        },
    )