#!/usr/bin/env python3
import argparse
import html
import json
import os
from pathlib import Path
from typing import Any

from review_studio_data import evidence_paths, insight_cards, load_review_data
from review_studio_formatting import registry_package_summary, render_kv_grid
from review_studio_gates import add_blockers_from_gate, build_gates, status_label, weighted_score
from review_studio_layout import render_review_nav, review_studio_css
from review_studio_output_review import render_output_review_section
from review_studio_world_class import render_world_class_evidence_entries, render_world_class_intake_checklist


ROOT = Path(__file__).resolve().parent.parent


def display_path(skill_dir: Path, path: Path) -> str:
    try:
        return str(path.resolve().relative_to(skill_dir.resolve()))
    except ValueError:
        try:
            return str(path.resolve().relative_to(ROOT.resolve()))
        except ValueError:
            return str(path.resolve())


def link_from(output_html: Path, target: Path) -> str:
    return os.path.relpath(target.resolve(), output_html.parent.resolve())



def find_line(path: Path, patterns: list[str] | None = None) -> int | None:
    if not path.exists():
        return None
    if not patterns:
        return 1
    try:
        lines = path.read_text(encoding="utf-8", errors="replace").splitlines()
    except OSError:
        return 1
    for pattern in patterns:
        for index, line in enumerate(lines, start=1):
            if pattern in line:
                return index
    return 1


def source_refs(
    skill_dir: Path,
    output_html: Path,
    specs: list[dict[str, Any]],
) -> list[dict[str, Any]]:
    refs: list[dict[str, Any]] = []
    for spec in specs:
        rel_path = str(spec.get("path", "")).strip()
        if not rel_path:
            continue
        path = skill_dir / rel_path
        exists = path.exists()
        line = find_line(path, spec.get("patterns", []))
        refs.append(
            {
                "path": rel_path,
                "label": str(spec.get("label", rel_path)),
                "kind": str(spec.get("kind", "source")),
                "line": line,
                "exists": exists,
                "link": link_from(output_html, path) if exists else "",
            }
        )
    return refs


def render_gate_list(gates: list[dict[str, str]]) -> str:
    items = []
    for item in gates:
        link_html = f"<a href='{html.escape(item['link'])}'>证据</a>" if item.get("link") else ""
        items.append(
            "<article class='gate "
            + html.escape(item["status"])
            + "'>"
            f"<div><span>{html.escape(status_label(item['status']))}</span><h3>{html.escape(item['label'])}</h3></div>"
            f"<p>{html.escape(item['detail'])}</p>"
            f"<footer>{html.escape(item['evidence'])} {link_html}</footer>"
            "</article>"
        )
    return "".join(items)


def render_insights(cards: list[dict[str, str]]) -> str:
    return "".join(
        (
            "<article class='metric'>"
            f"<span>{html.escape(item['label'])}</span>"
            f"<strong>{html.escape(item['value'])}</strong>"
            f"<p>{html.escape(item['detail'])}</p>"
            "</article>"
        )
        for item in cards
    )


def render_issue_list(title: str, items: list[dict[str, str]]) -> str:
    if not items:
        return f"<section><h2>{html.escape(title)}</h2><p class='muted'>无。</p></section>"
    body = "".join(
        (
            "<li>"
            f"<strong>{html.escape(item['label'])}</strong>"
            f"<span>{html.escape(item['detail'])}</span>"
            "</li>"
        )
        for item in items
    )
    return f"<section><h2>{html.escape(title)}</h2><ul class='issues'>{body}</ul></section>"


ACTION_GUIDANCE: dict[str, dict[str, str]] = {
    "intent-canvas": {
        "summary": "收紧真实任务、输入、输出、排除项和成功标准。",
        "why": "低 intent confidence 会让后续 Skill IR、输出评测和 Review Studio 结论建立在模糊意图上。",
        "source_fix": "reports/intent-dialogue.md + reports/intent-confidence.md",
        "source_paths": [
            {"path": "reports/intent-dialogue.md", "label": "intent dialogue", "kind": "report", "patterns": ["# Intent"]},
            {"path": "reports/intent-confidence.md", "label": "intent confidence", "kind": "report", "patterns": ["# Intent"]},
        ],
        "verification": "python3 scripts/yao.py intent-confidence .",
    },
    "trigger-lab": {
        "summary": "修正 route scorecard 中的误触发、漏触发或 ambiguous case。",
        "why": "触发错误会让正确 Skill 失活，或让相邻 Skill 被错误调用。",
        "source_fix": "SKILL.md frontmatter description + evals/*/trigger_cases.json",
        "source_paths": [
            {"path": "SKILL.md", "label": "frontmatter description", "kind": "source", "patterns": ["description:"]},
            {"path": "evals/trigger_cases.json", "label": "trigger eval cases", "kind": "eval", "patterns": ["should_trigger"]},
            {"path": "reports/route_scorecard.md", "label": "route scorecard", "kind": "report", "patterns": ["# Route"]},
        ],
        "verification": "python3 scripts/build_confusion_matrix.py",
    },
    "output-lab": {
        "summary": "补足 output eval 覆盖、execution evidence、blind A/B 和 reviewer adjudication。",
        "why": "没有输出质量和人工盲评证据时，Skill 只能证明会触发，不能证明输出真的更好且经得起审查。",
        "source_fix": "evals/output/cases.jsonl + reports/output_quality_scorecard.md + reports/output_review_decisions.json + reports/output_review_adjudication.md",
        "source_paths": [
            {"path": "evals/output/cases.jsonl", "label": "output eval cases", "kind": "eval", "patterns": ["case_id"]},
            {"path": "reports/output_quality_scorecard.md", "label": "output scorecard", "kind": "report", "patterns": ["# Output"]},
            {"path": "reports/output_execution_runs.md", "label": "output execution runs", "kind": "report", "patterns": ["# Output Execution"]},
            {"path": "reports/output_blind_review_pack.md", "label": "blind A/B review pack", "kind": "report", "patterns": ["# Output Blind"]},
            {"path": "reports/output_review_decisions.json", "label": "review decisions template", "kind": "report", "patterns": ["decision_contract", "winner_variant"]},
            {"path": "reports/output_review_adjudication.md", "label": "review adjudication", "kind": "report", "patterns": ["# Output Review"]},
        ],
        "verification": "python3 scripts/adjudicate_output_review.py --write-template && python3 scripts/yao.py output-review",
    },
    "context-budget": {
        "summary": "压缩入口与高成本 references，保留最小可路由上下文。",
        "why": "上下文成本过高会降低加载稳定性，并挤压用户任务材料的预算。",
        "source_fix": "SKILL.md + references/",
        "source_paths": [
            {"path": "SKILL.md", "label": "entrypoint", "kind": "source", "patterns": ["# Yao Meta Skill"]},
            {"path": "reports/context_budget.md", "label": "context budget", "kind": "report", "patterns": ["# Context"]},
        ],
        "verification": "python3 scripts/render_context_reports.py",
    },
    "runtime-matrix": {
        "summary": "修复目标端结构、metadata、相对路径、fallback 或 adapter target 声明。",
        "why": "runtime conformance 失败意味着包可能被目标客户端错误加载或静默降级。",
        "source_fix": "agents/interface.yaml + reports/conformance_matrix.md",
        "source_paths": [
            {"path": "agents/interface.yaml", "label": "portable interface", "kind": "source", "patterns": ["adapter_targets"]},
            {"path": "reports/conformance_matrix.md", "label": "conformance matrix", "kind": "report", "patterns": ["# Runtime"]},
        ],
        "verification": "python3 scripts/run_conformance_suite.py .",
    },
    "trust-report": {
        "summary": "处理脚本 help surface、依赖 pin、network policy、secret 和权限声明。",
        "why": "团队分发时，脚本和依赖是主要供应链风险面，warning 必须有明确处置。",
        "source_fix": "reports/security_trust_report.md + security/*.md + scripts/",
        "source_paths": [
            {"path": "reports/security_trust_report.md", "label": "trust report", "kind": "report", "patterns": ["# Security"]},
            {"path": "security/script_policy.md", "label": "script policy", "kind": "policy", "patterns": ["# Script"]},
            {"path": "security/network_policy.md", "label": "network policy", "kind": "policy", "patterns": ["# Network"]},
        ],
        "verification": "python3 scripts/trust_check.py .",
    },
    "python-compat": {
        "summary": "修复 Python 3.11 语法兼容问题，尤其是 f-string 表达式内的反斜杠转义。",
        "why": "目标运行环境可能仍停留在 Python 3.11，语法漂移会让 CLI、报告生成和 CI 在发布后直接失败。",
        "source_fix": "reports/python_compatibility.md + scripts/*.py + tests/*.py",
        "source_paths": [
            {"path": "reports/python_compatibility.md", "label": "Python compatibility", "kind": "report", "patterns": ["# Python"]},
            {"path": "scripts/python_compat_check.py", "label": "compatibility checker", "kind": "source", "patterns": ["SCRIPT_INTERFACE"]},
            {"path": ".github/workflows/test.yml", "label": "CI test workflow", "kind": "ci", "patterns": ["python"]},
        ],
        "verification": "python3 scripts/yao.py python-compat .",
    },
    "architecture-maintainability": {
        "summary": "处理大文件和 CLI command surface 的维护性热点，优先拆分稳定职责边界。",
        "why": "Meta Skill 的门禁、报告和 CLI 会持续增长；如果不把架构债纳入审查，后续能力会越来越难验证和迁移。",
        "source_fix": "reports/architecture_maintainability.md + scripts/yao.py + scripts/render_review_viewer.py",
        "source_paths": [
            {"path": "reports/architecture_maintainability.md", "label": "architecture maintainability", "kind": "report", "patterns": ["# Architecture"]},
            {"path": "scripts/yao.py", "label": "Yao CLI orchestrator", "kind": "source", "patterns": ["def command_"]},
            {"path": "scripts/render_review_studio.py", "label": "Review Studio renderer", "kind": "source", "patterns": ["ACTION_GUIDANCE"]},
            {"path": "scripts/render_review_viewer.py", "label": "review viewer renderer", "kind": "source", "patterns": ["def "]},
        ],
        "verification": "python3 scripts/yao.py architecture-audit .",
    },
    "permission-gates": {
        "summary": "补齐高权限能力的 reviewer、scope、reason、expires_at 和目标端 enforcement 说明。",
        "why": "权限契约只有在批准人、有效期和目标端处置方式明确时，才能支撑 governed release。",
        "source_fix": "security/permission_policy.json + security/permission_policy.md",
        "source_paths": [
            {"path": "security/permission_policy.json", "label": "permission approvals", "kind": "policy", "patterns": ["approved"]},
            {"path": "security/permission_policy.md", "label": "permission method", "kind": "policy", "patterns": ["# Permission"]},
        ],
        "verification": "python3 scripts/trust_check.py .",
    },
    "permission-runtime": {
        "summary": "生成并修复目标包的 runtime permission probe 报告。",
        "why": "目标端即使只能提供 metadata fallback，也必须明确 native enforcement 缺口、表示位置和 operator note。",
        "source_fix": "dist/targets/*/adapter.json + reports/runtime_permission_probes.md",
        "source_paths": [
            {"path": "reports/runtime_permission_probes.md", "label": "runtime permission probes", "kind": "report", "patterns": ["# Runtime"]},
            {"path": "dist/targets/openai/adapter.json", "label": "OpenAI adapter", "kind": "package", "patterns": ["target_permission_contract"]},
            {"path": "dist/targets/claude/adapter.json", "label": "Claude adapter", "kind": "package", "patterns": ["target_permission_contract"]},
            {"path": "dist/targets/generic/adapter.json", "label": "generic adapter", "kind": "package", "patterns": ["target_permission_contract"]},
        ],
        "verification": "python3 scripts/probe_runtime_permissions.py . --package-dir dist",
    },
    "skill-atlas": {
        "summary": "处理 portfolio 里的路由冲突、owner 缺口、stale skill 和重复能力。",
        "why": "单个 Skill 质量很高仍可能在团队 skill library 中被相邻 Skill 冲突削弱。",
        "source_fix": "reports/skill_atlas.html + skill_atlas/catalog.json",
        "source_paths": [
            {"path": "skill_atlas/catalog.json", "label": "skill atlas catalog", "kind": "atlas", "patterns": ["summary"]},
            {"path": "skill_atlas/policy.json", "label": "atlas scope policy", "kind": "policy", "patterns": ["scope"]},
            {"path": "reports/skill_atlas.html", "label": "skill atlas report", "kind": "report", "patterns": ["Skill Atlas"]},
        ],
        "verification": "python3 scripts/build_skill_atlas.py --workspace-root .",
    },
    "operations-loop": {
        "summary": "记录 metadata-only 使用事件，或明确当前 release 缺少真实使用信号。",
        "why": "没有运营回路时，reviewer 无法判断采用率、误触发、坏输出和 review overdue 的真实影响。",
        "source_fix": "reports/adoption_drift_report.md",
        "source_paths": [
            {"path": "reports/adoption_drift_report.md", "label": "adoption drift report", "kind": "report", "patterns": ["# Adoption"]},
            {"path": "references/telemetry-drift-method.md", "label": "telemetry method", "kind": "method", "patterns": ["# Telemetry"]},
        ],
        "verification": "python3 scripts/render_adoption_drift_report.py . --record-event skill_activation --activation-type explicit --outcome accepted",
    },
    "review-waivers": {
        "summary": "对保留的 warning 写入 reviewer、理由、范围和到期时间，或修掉 warning。",
        "why": "warning 可以被接受，但必须可审计、会过期，并且不能掩盖 blocker。",
        "source_fix": "reports/review_waivers.md",
        "source_paths": [
            {"path": "reports/review_waivers.md", "label": "waiver ledger", "kind": "report", "patterns": ["# Review"]},
            {"path": "references/review-waiver-method.md", "label": "waiver method", "kind": "method", "patterns": ["# Review"]},
        ],
        "verification": "python3 scripts/render_review_waivers.py .",
    },
    "world-class-evidence": {
        "summary": "补齐 provider、真人盲评、原生权限执行和真实客户端遥测证据，或明确本次发布不声明 world-class 完成。",
        "why": "世界级结论必须来自已接受的外部/人工证据；计划、metadata fallback、待评审和本地命令都不能替代完成证据。",
        "source_fix": "reports/world_class_evidence_ledger.md + reports/world_class_evidence_plan.md + reports/world_class_evidence_intake.md",
        "source_paths": [
            {"path": "reports/world_class_evidence_ledger.md", "label": "world-class evidence ledger", "kind": "report", "patterns": ["# World-Class Evidence Ledger"]},
            {"path": "reports/world_class_evidence_plan.md", "label": "world-class evidence plan", "kind": "report", "patterns": ["# World-Class Evidence Plan"]},
            {"path": "reports/world_class_evidence_intake.md", "label": "world-class evidence intake", "kind": "report", "patterns": ["# World-Class Evidence Intake"]},
            {"path": "reports/world_class_claim_guard.md", "label": "world-class claim guard", "kind": "report", "patterns": ["# World-Class Claim Guard"]},
            {"path": "evidence/world_class/intake.schema.json", "label": "evidence intake schema", "kind": "schema", "patterns": ["Yao World-Class Evidence Intake"]},
            {"path": "evidence/world_class/templates/provider-holdout.intake.json", "label": "provider intake template", "kind": "template", "patterns": ["provider-holdout"]},
            {"path": "evidence/world_class/templates/human-adjudication.intake.json", "label": "human intake template", "kind": "template", "patterns": ["human-adjudication"]},
            {"path": "reports/skill_os2_audit.md", "label": "Skill OS 2.0 audit", "kind": "report", "patterns": ["# Skill OS"]},
            {"path": "reports/output_review_decisions.json", "label": "human review decisions", "kind": "report", "patterns": ["winner_variant"]},
            {"path": "reports/runtime_permission_probes.md", "label": "runtime permission probes", "kind": "report", "patterns": ["# Runtime"]},
            {"path": "reports/adoption_drift_report.md", "label": "adoption drift", "kind": "report", "patterns": ["# Adoption"]},
        ],
        "verification": "python3 scripts/yao.py world-class-ledger . && python3 scripts/yao.py review-studio .",
    },
    "registry-audit": {
        "summary": "补齐 registry package metadata、checksum、license、owner、review cadence 和 install evidence。",
        "why": "分发元数据不完整时，团队无法安全安装、升级或追溯包体来源。",
        "source_fix": "registry/ + reports/registry_audit.md",
        "source_paths": [
            {"path": "registry/packages/yao-meta-skill.json", "label": "registry package", "kind": "registry", "patterns": ["version"]},
            {"path": "reports/registry_audit.md", "label": "registry audit", "kind": "report", "patterns": ["# Registry"]},
            {"path": "reports/install_simulation.md", "label": "install simulation", "kind": "report", "patterns": ["# Install"]},
        ],
        "verification": "python3 scripts/registry_audit.py .",
    },
    "release-notes": {
        "summary": "确认 promotion、upgrade diff、breaking changes、migration guide 和 known limitations。",
        "why": "发布说明不完整会让使用者无法判断升级风险和迁移动作。",
        "source_fix": "reports/upgrade_check.md + docs/migration-v2.md",
        "source_paths": [
            {"path": "reports/upgrade_check.md", "label": "upgrade check", "kind": "report", "patterns": ["# Upgrade"]},
            {"path": "docs/migration-v2.md", "label": "migration guide", "kind": "docs", "patterns": ["# Migration"]},
            {"path": "reports/promotion_decisions.md", "label": "promotion decisions", "kind": "report", "patterns": ["# Promotion"]},
        ],
        "verification": "python3 scripts/upgrade_check.py . --previous-package-json registry/examples/yao-meta-skill-1.0.0.json",
    },
}


def build_review_actions(gates: list[dict[str, str]], skill_dir: Path, output_html: Path) -> list[dict[str, Any]]:
    actions: list[dict[str, Any]] = []
    for gate_item in gates:
        if gate_item["status"] == "pass":
            continue
        guidance = ACTION_GUIDANCE.get(
            gate_item["key"],
            {
                "summary": "打开证据报告，修复当前 gate 暴露的问题。",
                "why": "该 gate 未通过，release reviewer 需要明确处置动作。",
                "source_fix": gate_item.get("evidence", ""),
                "source_paths": [],
                "verification": "python3 scripts/render_review_studio.py .",
            },
        )
        refs = source_refs(skill_dir, output_html, guidance.get("source_paths", []))
        actions.append(
            {
                "gate_key": gate_item["key"],
                "label": gate_item["label"],
                "status": gate_item["status"],
                "priority": "blocker" if gate_item["status"] == "block" else "warning",
                "summary": guidance["summary"],
                "why": guidance["why"],
                "source_fix": guidance["source_fix"],
                "source_refs": refs,
                "evidence": gate_item.get("evidence", ""),
                "evidence_link": gate_item.get("link", ""),
                "verification_command": guidance["verification"],
            }
        )
    return actions


def render_action_source_refs(refs: list[dict[str, Any]]) -> str:
    if not refs:
        return "<p class='muted'>暂无结构化 source refs；请先打开证据报告。</p>"
    items = []
    for ref in refs:
        line_suffix = f":{ref['line']}" if ref.get("line") else ""
        label = f"{ref['path']}{line_suffix}"
        if ref.get("exists") and ref.get("link"):
            path_html = f"<a href='{html.escape(ref['link'])}'>{html.escape(label)}</a>"
        else:
            path_html = f"<span>{html.escape(label)} · missing</span>"
        items.append(
            "<li>"
            f"{path_html}"
            f"<small>{html.escape(ref.get('label', 'source'))} · {html.escape(ref.get('kind', 'source'))}</small>"
            "</li>"
        )
    return "<ul class='source-ref-list'>" + "".join(items) + "</ul>"


def render_review_actions(actions: list[dict[str, Any]]) -> str:
    if not actions:
        return "<p class='muted'>当前没有 blocker 或 warning。保持现有证据链即可。</p>"
    cards = []
    for item in actions:
        link_html = f"<a href='{html.escape(item['evidence_link'])}'>打开证据</a>" if item.get("evidence_link") else ""
        source_refs_html = render_action_source_refs(item.get("source_refs", []))
        cards.append(
            "<article class='action-card "
            + html.escape(item["status"])
            + "'>"
            f"<div><span>{html.escape(status_label(item['status']))}</span><h3>{html.escape(item['label'])}</h3></div>"
            f"<p>{html.escape(item['summary'])}</p>"
            f"<small>{html.escape(item['why'])}</small>"
            f"<dl><dt>修复位置</dt><dd>{html.escape(item['source_fix'])}</dd>"
            f"<dt>验证命令</dt><dd><code>{html.escape(item['verification_command'])}</code></dd></dl>"
            f"{source_refs_html}"
            f"<footer>{html.escape(item['evidence'])} {link_html}</footer>"
            "</article>"
        )
    return "".join(cards)


def render_review_annotations_panel(annotations_report: dict[str, Any]) -> str:
    annotations = annotations_report.get("annotations", []) if isinstance(annotations_report, dict) else []
    if not annotations:
        return "<p class='muted'>当前没有 reviewer 批注。</p>"
    cards = []
    for item in annotations:
        line_suffix = f":{item['line']}" if item.get("line") else ""
        target_label = f"{item.get('target_path', '')}{line_suffix}"
        meta = " · ".join(
            part
            for part in [
                str(item.get("gate_key", "")),
                str(item.get("reviewer", "")),
                str(item.get("created_at", "")),
            ]
            if part
        )
        cards.append(
            "<article class='annotation-card "
            + html.escape(str(item.get("severity", "note")))
            + " "
            + html.escape(str(item.get("status", "open")))
            + "'>"
            f"<div><span>{html.escape(str(item.get('severity', 'note')))} · {html.escape(str(item.get('status', 'open')))}</span>"
            f"<h3>{html.escape(str(item.get('id', 'annotation')))}</h3></div>"
            f"<p>{html.escape(str(item.get('body', '')))}</p>"
            f"<dl><dt>位置</dt><dd><code>{html.escape(target_label)}</code></dd>"
            f"<dt>Gate</dt><dd>{html.escape(str(item.get('gate_key', '')))}</dd>"
            f"<dt>建议</dt><dd>{html.escape(str(item.get('suggested_action', '') or '无'))}</dd></dl>"
            f"<small>{html.escape(meta)}</small>"
            f"<footer>{html.escape(str(item.get('source_excerpt', '')))}</footer>"
            "</article>"
        )
    return "".join(cards)


def render_html(report: dict[str, Any]) -> str:
    summary = report["summary"]
    gates = report["gates"]
    gate_details = {item["key"]: item["detail"] for item in gates}
    blockers = report["blockers"]
    warnings = report["warnings"]
    insights = insight_cards(report["data"])
    overview = report["data"]["overview"]
    manifest = report["data"]["manifest"]
    frontmatter = report["data"]["frontmatter"]
    title = overview.get("display_name") or overview.get("title") or frontmatter.get("name") or manifest.get("name") or "Skill"
    description = overview.get("description") or frontmatter.get("description", "")
    nav_html = render_review_nav()
    gates_html = render_gate_list(gates)
    metrics_html = render_insights(insights)
    blockers_html = render_issue_list("阻断事项", blockers)
    warnings_html = render_issue_list("关注事项", warnings)
    actions_html = render_review_actions(report["review_actions"])
    annotations_html = render_review_annotations_panel(report["data"].get("review_annotations", {}))
    output_summary = report["data"]["output_quality"].get("summary", {})
    output_execution_summary = report["data"]["output_execution"].get("summary", {})
    output_blind_summary = report["data"]["output_blind_review"].get("summary", {})
    output_review_summary = report["data"]["output_review_adjudication"].get("summary", {})
    blueprint_summary = report["data"]["skill_os2_coverage"].get("summary", {})
    conformance_summary = report["data"]["conformance"].get("summary", {})
    compiled_summary = report["data"]["compiled_targets"].get("summary", {})
    trust_summary = report["data"]["trust"].get("summary", {})
    python_compat_summary = report["data"]["python_compatibility"].get("summary", {})
    runtime_permissions_summary = report["data"]["runtime_permissions"].get("summary", {})
    atlas_summary = report["data"]["atlas"].get("summary", {})
    adoption_summary = report["data"]["adoption_drift"].get("summary", {})
    waiver_summary = report["data"]["review_waivers"].get("summary", {})
    world_class_ledger = report["data"].get("world_class_evidence_ledger", {})
    world_class_summary = world_class_ledger.get("summary", {})
    world_class_intake = report["data"].get("world_class_evidence_intake", {})
    world_class_intake_summary = world_class_intake.get("summary", {})
    world_class_claim_summary = report["data"].get("world_class_claim_guard", {}).get("summary", {})
    world_class_entries_html = render_world_class_evidence_entries(world_class_ledger)
    world_class_intake_checklist_html = render_world_class_intake_checklist(world_class_intake)
    annotation_summary = report["data"]["review_annotations"].get("summary", {})
    annotation_caption = (
        f"{annotation_summary.get('annotation_count', 0)} 条批注；"
        f"开放 {annotation_summary.get('open_count', 0)}；"
        f"阻断 {annotation_summary.get('open_blocker_count', 0)}"
    )
    registry_package = report["data"]["registry"].get("package", {})
    package_summary = report["data"]["package_verification"].get("summary", {})
    install_summary = report["data"]["install_simulation"].get("summary", {})
    atlas_panel = render_kv_grid(
        atlas_summary,
        [
            "skill_count",
            "actionable_skill_count",
            "actionable_route_collision_count",
            "actionable_owner_gap_count",
            "actionable_stale_count",
            "telemetry_report_count",
            "actionable_drift_signal_count",
            "drift_signal_count",
            "non_actionable_issue_count",
        ],
        "skill atlas summary missing",
    )
    output_panel = render_kv_grid(
        output_summary,
        ["case_count", "with_skill_pass_rate", "baseline_pass_rate", "delta", "gate_pass", "failure_count"],
        "output eval scorecard missing",
    )
    execution_panel = render_kv_grid(
        output_execution_summary,
        [
            "variant_run_count",
            "command_executed_count",
            "model_executed_count",
            "recorded_fixture_count",
            "timing_observed_count",
            "token_estimated_count",
        ],
        "output execution report missing",
    )
    blind_panel = render_kv_grid(
        output_blind_summary,
        ["pair_count", "answer_key_separate", "with_skill_hidden_count"],
        "blind A/B review pack missing",
    )
    review_panel = render_kv_grid(
        output_review_summary,
        [
            "pair_count",
            "judgment_count",
            "pending_count",
            "agreement_count",
            "disagreement_count",
            "invalid_decision_count",
            "answer_revealed_count",
            "pending_answer_hidden_count",
            "reviewer_checklist_count",
            "reviewer_checklist_pending_count",
        ],
        "review adjudication report missing",
    )
    output_review_section_html = render_output_review_section(report["data"].get("output_review_adjudication", {}))
    blueprint_panel = render_kv_grid(
        blueprint_summary,
        [
            "item_count",
            "module_count",
            "recommended_pr_count",
            "pass_count",
            "warn_count",
            "missing_count",
            "local_blueprint_ready",
            "public_world_class_ready",
            "world_class_evidence_pending_count",
        ],
        "Skill OS 2.0 blueprint coverage missing",
    )
    conformance_panel = render_kv_grid(
        conformance_summary,
        ["target_count", "pass_count", "fail_count", "warning_count", "failure_count"],
        "runtime conformance matrix missing",
    )
    compiled_panel = render_kv_grid(
        compiled_summary,
        ["target_count", "pass_count", "warn_count", "block_count", "failure_count"],
        "compiled target report missing",
    )
    trust_panel = render_kv_grid(
        trust_summary,
        ["secret_findings", "script_count", "network_script_count", "help_smoke_failed_count", "package_sha256"],
        "security trust report missing",
    )
    python_compat_panel = render_kv_grid(
        python_compat_summary,
        ["target_python", "file_count", "issue_count", "syntax_error_count", "fstring_311_violation_count"],
        "python compatibility report missing",
    )
    runtime_boundary_panel = render_kv_grid(
        runtime_permissions_summary,
        ["target_count", "pass_count", "native_enforcement_count", "metadata_fallback_count", "residual_risk_count", "failure_count"],
        "runtime permission probe summary missing",
    )
    adoption_panel = render_kv_grid(
        adoption_summary,
        ["event_count", "adoption_rate", "missed_trigger_count", "bad_output_count", "risk_band"],
        "no adoption drift summary",
    )
    waiver_panel = render_kv_grid(
        waiver_summary,
        ["waiver_count", "active_count", "expired_count", "invalid_count", "covered_gate_count"],
        "no review waiver summary",
    )
    world_class_panel = render_kv_grid(
        world_class_summary,
        [
            "ledger_entry_count",
            "accepted_count",
            "pending_count",
            "human_pending_count",
            "external_pending_count",
            "overclaim_guard_active",
            "ready_to_claim_world_class",
        ],
        "world-class evidence ledger missing",
    )
    world_class_intake_panel = render_kv_grid(
        world_class_intake_summary,
        [
            "schema_present",
            "template_count",
            "template_pass_count",
            "submission_count",
            "valid_submission_count",
            "invalid_submission_count",
            "ready_for_external_collection",
            "ready_for_ledger_review",
            "ready_to_claim_world_class",
        ],
        "world-class evidence intake missing",
    )
    world_class_claim_panel = render_kv_grid(
        world_class_claim_summary,
        [
            "ledger_ready_to_claim_world_class",
            "ledger_pending_count",
            "claim_surface_count",
            "violation_count",
            "overclaim_guard_active",
        ],
        "world-class claim guard missing",
    )
    registry_panel = render_kv_grid(
        registry_package_summary(registry_package),
        [
            "name",
            "version",
            "maturity",
            "owner",
            "license",
            "trust_level",
            "targets",
            "compatibility_pass_count",
            "archive_sha256",
        ],
        "registry package metadata missing",
    )
    package_panel = render_kv_grid(
        package_summary,
        ["target_count", "adapter_count", "archive_present", "archive_entry_count", "failure_count", "warning_count", "archive_sha256"],
        "package verification missing",
    )
    install_panel = render_kv_grid(
        install_summary,
        [
            "archive_extracted",
            "entrypoint_loaded",
            "manifest_loaded",
            "interface_loaded",
            "adapter_count",
            "installer_permission_enforced_count",
            "installer_permission_failure_count",
            "permission_target_count",
            "permission_capability_count",
            "failure_count",
            "warning_count",
        ],
        "install simulation missing",
    )
    evidence_html = "".join(
        f"<li><strong>{html.escape(key)}</strong><span>{html.escape(value)}</span></li>"
        for key, value in report["evidence_paths"].items()
    )
    return f"""<!DOCTYPE html>
<html lang="zh-CN">
<head>
  <meta charset="utf-8">
  <meta name="viewport" content="width=device-width, initial-scale=1">
  <title>{html.escape(str(title))} Review Studio 2.0</title>
  <style>
{review_studio_css()}
  </style>
</head>
<body>
  <nav>{nav_html}</nav>
  <main>
    <header id="overview">
      <div class="eyebrow">Review Studio 2.0</div>
      <h1>{html.escape(str(title))}</h1>
      <p class="lede">{html.escape(str(description))}</p>
      <div class="decision">
        <span>审查结论</span>
        <strong>{html.escape(summary['decision'])}</strong>
        <span>Score {html.escape(str(summary['world_class_score']))}/100</span>
      </div>
    </header>

    <section>
      <h2>核心指标</h2>
      <div class="metrics">{metrics_html}</div>
    </section>

    <section>
      <h2>审查闸门</h2>
      <div class="gates">{gates_html}</div>
    </section>

    <div class="twocol">
      {blockers_html}
      {warnings_html}
    </div>

    <section id="actions">
      <h2>修复动作</h2>
      <div class="actions-grid">{actions_html}</div>
    </section>

    <section id="annotations">
      <h2>审查批注</h2>
      <p class="muted">当前批注：{html.escape(annotation_caption)}</p>
      <div class="annotations-grid">{annotations_html}</div>
    </section>

    <section id="intent" class="twocol">
      <div class="panel">
        <h2>意图画布</h2>
        <p>{html.escape(str(report['data']['intent_confidence'].get('anchor_sentence', description)))}</p>
      </div>
      <div class="panel">
        <h2>证据路径</h2>
        <ul class="evidence">{evidence_html}</ul>
      </div>
    </section>

    <section id="trigger" class="twocol">
      <div class="panel"><h2>触发实验</h2><p>{html.escape(gates[1]['detail'])}</p></div>
      <div class="panel"><h2>组合治理</h2>{atlas_panel}</div>
    </section>

    <section id="output" class="twocol">
      <div class="panel"><h2>输出实验</h2>{output_panel}</div>
      <div class="panel"><h2>执行证据</h2>{execution_panel}</div>
    </section>

    <section class="twocol">
      <div class="panel"><h2>盲评包</h2>{blind_panel}</div>
      <div class="panel"><h2>审定报告</h2>{review_panel}</div>
    </section>

    {output_review_section_html}
    <section class="twocol">
      <div class="panel"><h2>发布标准</h2><p>Governed 和 Library 至少需要 5 个 output eval cases，并覆盖 file-backed、near-neighbor、boundary case、execution evidence 和 blind A/B review pack。</p></div>
      <div class="panel"><h2>人工结论</h2><p>没有 reviewer 决策时只显示 pending；只有真实决策文件会进入一致率和分歧统计。</p></div>
    </section>

    <section class="twocol">
      <div class="panel"><h2>评审方式</h2><p>先看 reports/output_blind_review_pack.md 做盲评，填入 reports/output_review_decisions.json，再用 reports/output_review_adjudication.md 核对答案 key。</p></div>
      <div class="panel"><h2>运行方式</h2><p>reports/output_execution_runs.md 会标明 recorded fixture、command run 或 model run；只有 provider runner 返回 model metadata 时才算 model-executed。</p></div>
    </section>

    <section id="runtime" class="twocol">
      <div class="panel"><h2>运行矩阵</h2>{conformance_panel}</div>
      <div class="panel"><h2>目标编译</h2>{compiled_panel}</div>
    </section>

    <section class="twocol">
      <div class="panel"><h2>上下文</h2><p>{html.escape(gate_details.get('context-budget', 'context budget missing'))}</p></div>
      <div class="panel"><h2>编译证据</h2><p>Review reports/compiled_targets.md before packaging to inspect target adapter modes, generated files, preserved semantics, warnings, and unsupported features.</p></div>
    </section>

    <section id="trust" class="twocol">
      <div class="panel"><h2>信任报告</h2>{trust_panel}</div>
      <div class="panel"><h2>安全边界</h2><p>高风险 secret、远程 inline execution、缺失依赖策略或无法解释的脚本接口应阻断 governed release。</p></div>
    </section>

    <section class="twocol">
      <div class="panel"><h2>Python 兼容</h2>{python_compat_panel}</div>
      <div class="panel"><h2>解释器边界</h2><p>CI 和发布审查以 Python 3.11 兼容为底线；本地更高版本允许的新语法不能绕过兼容门禁。</p></div>
    </section>

    <section id="permissions" class="twocol">
      <div class="panel"><h2>权限批准</h2><p>{html.escape(gate_details.get('permission-gates', 'permission governance missing'))}</p></div>
      <div class="panel"><h2>批准策略</h2><p>高权限能力需要 reviewer、scope、reason、expires_at 和 openai/claude/generic 目标端 enforcement 说明。</p></div>
    </section>

    <section id="permission-probes" class="twocol">
      <div class="panel"><h2>权限探针</h2><p>{html.escape(gate_details.get('permission-runtime', 'runtime permission probes missing'))}</p></div>
      <div class="panel"><h2>运行边界</h2>{runtime_boundary_panel}</div>
    </section>

    <section id="atlas" class="twocol">
      <div class="panel"><h2>组合治理</h2><p>{html.escape(gate_details.get('skill-atlas', 'skill atlas missing'))}</p></div>
      <div class="panel"><h2>下一动作</h2><p>优先处理真实 portfolio 中的 duplicate names、stale skills、owner gaps，再用运营回路判断真实影响。</p></div>
    </section>

    <section id="telemetry" class="twocol">
      <div class="panel"><h2>运营回路</h2><p>{html.escape(gate_details.get('operations-loop', 'adoption drift report missing'))}</p></div>
      <div class="panel"><h2>漂移信号</h2>{adoption_panel}</div>
    </section>

    <section id="waivers" class="twocol">
      <div class="panel"><h2>人工批准</h2><p>{html.escape(gate_details.get('review-waivers', 'review waiver ledger missing'))}</p></div>
      <div class="panel"><h2>批准台账</h2>{waiver_panel}</div>
    </section>

    <section id="world-class">
      <h2>世界证据</h2>
      <p class="muted">这里列出每个 world-class 证据项的当前状态、完成定义、证据来源、隐私约束和下一步；计划、metadata fallback、待评审和本地命令不会被当成完成证据。</p>
      {world_class_entries_html}
    </section>

    <section>
      <h2>提交清单</h2>
      <p class="muted">每张卡片给出模板、提交文件、准备命令、校验命令、收集要求、通过条件和隐私边界；只有真实 provider、真人、原生权限或真实客户端证据通过 intake 后，才进入 ledger review。</p>
      {world_class_intake_checklist_html}
    </section>

    <section class="twocol">
      <div class="panel"><h2>蓝图覆盖</h2>{blueprint_panel}</div>
      <div class="panel"><h2>覆盖边界</h2><p>蓝图覆盖只证明 2.0 模块、建议 PR、脚本、报告和测试在本地闭环；public world-class 仍以 world-class evidence ledger 的真人和外部证据为准。</p></div>
    </section>

    <section class="twocol">
      <div class="panel"><h2>世界证据</h2><p>{html.escape(gate_details.get('world-class-evidence', 'world-class evidence ledger missing'))}</p></div>
      <div class="panel"><h2>证据台账</h2>{world_class_panel}</div>
    </section>

    <section class="twocol">
      <div class="panel"><h2>证据入口</h2>{world_class_intake_panel}</div>
      <div class="panel"><h2>入口边界</h2><p>intake 只校验证据包格式、来源、隐私和反过度声明；只有 ledger 看到真实 provider、真人、原生权限或真实客户端结果后，world-class 才能进入完成审计。</p></div>
    </section>

    <section class="twocol">
      <div class="panel"><h2>声明守卫</h2>{world_class_claim_panel}</div>
      <div class="panel"><h2>声明边界</h2><p>claim guard 扫描 README、docs 和 reports 中的完成态表述；ledger 未 ready 时，任何英文完成断言、true 状态声明或中文完成态都会阻断发布审查。</p></div>
    </section>

    <section id="registry" class="twocol">
      <div class="panel"><h2>注册审计</h2><p>{html.escape(gate_details.get('registry-audit', 'registry audit missing'))}</p></div>
      <div class="panel"><h2>包体元数据</h2>{registry_panel}</div>
    </section>

    <section id="release" class="twocol">
      <div class="panel"><h2>发布路线</h2><p>{html.escape(gate_details.get('release-notes', 'release notes missing'))}</p></div>
      <div class="panel"><h2>包体验证</h2>{package_panel}</div>
    </section>

    <section class="twocol">
      <div class="panel"><h2>安装模拟</h2>{install_panel}</div>
      <div class="panel"><h2>权限覆盖</h2><p>安装模拟会读取解压后的 target adapter，并按 declared_capabilities 核对 security/permission_policy.json 中的有效批准、证据、过期时间和目标端 enforcement 说明。</p></div>
    </section>
  </main>
</body>
</html>
"""


def render_review_studio(skill_dir: Path, output_html: Path | None = None, output_json: Path | None = None) -> dict[str, Any]:
    skill_dir = skill_dir.resolve()
    reports_dir = skill_dir / "reports"
    reports_dir.mkdir(parents=True, exist_ok=True)
    output_html = output_html or reports_dir / "review-studio.html"
    output_json = output_json or reports_dir / "review-studio.json"
    data = load_review_data(skill_dir)
    gates = build_gates(skill_dir, output_html, data)
    blockers, warnings = add_blockers_from_gate(gates)
    review_actions = build_review_actions(gates, skill_dir, output_html)
    score = weighted_score(gates)
    annotation_summary = data["review_annotations"].get("summary", {})
    open_annotation_blockers = int(annotation_summary.get("open_blocker_count", 0) or 0)
    open_annotation_warnings = int(annotation_summary.get("open_warning_count", 0) or 0)
    decision = "blocked" if blockers or open_annotation_blockers else ("review" if warnings or open_annotation_warnings else "ready")
    report = {
        "schema_version": "2.0",
        "ok": True,
        "skill_dir": display_path(skill_dir, skill_dir),
        "summary": {
            "decision": decision,
            "world_class_score": score,
            "gate_count": len(gates),
            "blocker_count": len(blockers),
            "warning_count": len(warnings),
            "action_count": len(review_actions),
            "annotation_count": int(annotation_summary.get("annotation_count", 0) or 0),
            "open_annotation_count": int(annotation_summary.get("open_count", 0) or 0),
            "open_annotation_blocker_count": open_annotation_blockers,
            "open_annotation_warning_count": open_annotation_warnings,
        },
        "gates": gates,
        "blockers": blockers,
        "warnings": warnings,
        "review_actions": review_actions,
        "evidence_paths": evidence_paths(skill_dir),
        "data": data,
        "artifacts": {
            "html": display_path(skill_dir, output_html),
            "json": display_path(skill_dir, output_json),
        },
    }
    output_html.write_text(render_html(report), encoding="utf-8")
    output_json.write_text(json.dumps(report, ensure_ascii=False, indent=2) + "\n", encoding="utf-8")
    return {key: value for key, value in report.items() if key != "data"}


def main() -> None:
    parser = argparse.ArgumentParser(description="Render Review Studio 2.0 for a skill package.")
    parser.add_argument("skill_dir", nargs="?", default=".")
    parser.add_argument("--output-html")
    parser.add_argument("--output-json")
    args = parser.parse_args()
    payload = render_review_studio(
        Path(args.skill_dir),
        output_html=Path(args.output_html).resolve() if args.output_html else None,
        output_json=Path(args.output_json).resolve() if args.output_json else None,
    )
    print(json.dumps(payload, ensure_ascii=False, indent=2))


if __name__ == "__main__":
    main()