chore: sync local changes, add Chinese docs and opencode config
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@@ -43,6 +43,11 @@
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.muted { color:var(--muted); font-size:.85rem; }
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code { background:var(--bg); padding:.1rem .3rem; border-radius:4px;
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font-size:.88em; }
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details.reviewed { margin:.5rem 0; border:1px solid var(--border);
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border-radius:6px; padding:.4rem .8rem; }
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details.reviewed summary { cursor:pointer; font-weight:600; }
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details.reviewed ul { margin:.4rem 0 0; padding-left:1.2rem; }
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details.reviewed li { margin:.15rem 0; }
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</style>
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</head>
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<body>
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@@ -61,6 +66,23 @@ function verdictClass(v) {
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return v.includes("PASS") ? "pass" : "fail";
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}
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// Collapsible list of the reviewed files (native <details>/<summary>, no JS).
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// Accepts an array OR a comma-separated string (agents pass both). Falls
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// back to the flat ``files`` string when nothing structured is given.
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function renderReviewedFiles(data) {
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let arr = data.reviewed_files;
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if (typeof arr === "string") {
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arr = arr.split(",").map(s => s.trim()).filter(Boolean);
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}
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if (!Array.isArray(arr) || !arr.length) {
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return data.files ? `<p><b>文件:</b> ${esc(data.files)}</p>` : "";
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}
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return `<details class="reviewed">
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<summary>审查文件 (${arr.length}) <span class="muted">点击展开/收起</span></summary>
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<ul>${arr.map(f => `<li><code>${esc(f)}</code></li>`).join("")}</ul>
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</details>`;
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}
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const metricLabels = {
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sql_risk: "SQL 注入风险",
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exception_coverage: "异常分支覆盖",
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@@ -84,9 +106,83 @@ let html = `<h1>代码审查报告</h1>
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</div>`;
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if (data.quality_score != null) html += `<p><b>PR 质量分:</b> ${esc(data.quality_score)}/10</p>`;
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if (data.timestamp) html += `<p class="muted">生成时间: ${esc(data.timestamp)}</p>`;
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if (data.files) html += `<p><b>文件:</b> ${esc(data.files)}</p>`;
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html += renderReviewedFiles(data);
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if (data.summary) html += `<p>${esc(data.summary)}</p>`;
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const cov = data.coverage || {};
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// The coverage section renders whenever file-count coverage OR line/unit
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// coverage was computed. gate="line+unit" (feature reviews) returns
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// coverage_pct=null, so the 全库/高风险 rows are skipped and only the
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// line/unit rows + spot-check render.
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if (cov && (cov.coverage_pct != null || cov.line_coverage_pct != null)) {
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const isLineOnly = cov.coverage_pct == null;
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const covOk = cov.target_reached;
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const covCls = covOk ? "good" : "fail";
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const covStatus = covOk ? "✅ 达标" : "🔴 覆盖不足";
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const oTarget = cov.overall_target ?? cov.target ?? "N/A";
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const hTarget = cov.high_risk_target ?? cov.target ?? "N/A";
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html += `<h2>覆盖度</h2>
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<p><span class="verdict ${covCls}">${covStatus}</span></p>`;
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if (!isLineOnly) {
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html += `<p><b>全库覆盖:</b> ${esc(cov.coverage_pct ?? "N/A")}% — 已深读 ${esc(cov.deep_read_count ?? "N/A")}/${esc(cov.total_files ?? "N/A")}(目标 ${esc(oTarget)}%)</p>
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<p><b>高风险覆盖:</b> ${esc(cov.high_risk_coverage_pct ?? "N/A")}% — 已深读 ${esc(cov.high_risk_deep_count ?? "N/A")}/${esc(cov.high_risk_total_files ?? "N/A")}(目标 ${esc(hTarget)}%)</p>`;
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}
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html += renderLineUnit(cov);
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html += renderSpotCheck(data.spot_check);
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if (!isLineOnly && (cov.uncovered_files || []).length) {
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html += `<p class="muted"><b>未深读文件:</b> ${esc(cov.uncovered_files.length)} 个(静默文件 ${esc((cov.silent_files || []).length)} 个)</p>`;
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}
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}
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// Line / unit coverage (three-piece suite items 1-2). Fail-closed: a
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// missing line/unit coverage renders "未执行 🔴" so reviews that skipped
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// gate="both+line" or the three-piece data are visible, never silent green.
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function renderLineUnit(cov) {
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const linePct = cov.line_coverage_pct;
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const unitPct = cov.unit_coverage_pct;
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const lineTarget = cov.line_target ?? 95.0;
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const unitTarget = cov.unit_target ?? 100.0;
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const lineGap = (cov.line_gap_files || []).length;
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const unitGap = (cov.unit_gap_files || []).length;
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const missing = (cov.missing_data_files || []).length;
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let s = "";
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if (linePct == null || unitPct == null) {
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s += `<p><b>行覆盖:</b> 未执行 🔴 <span class="muted">(coverage_tool 未用 gate="both+line" 或未传三件套数据)</span></p>`;
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} else {
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const lineOk = linePct >= lineTarget && lineGap === 0;
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const unitOk = unitPct >= unitTarget && unitGap === 0;
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s += `<p><b>行覆盖:</b> ${esc(linePct)}% — 目标 ${esc(lineTarget)}%(缺口 ${esc(lineGap)} 文件)${lineOk ? "✅" : "🔴"}</p>`;
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s += `<p><b>单元覆盖:</b> ${esc(unitPct)}% — 目标 ${esc(unitTarget)}%(缺口 ${esc(unitGap)} 文件)${unitOk ? "✅" : "🔴"}</p>`;
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}
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if (missing) {
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s += `<p class="muted"><b>三件套数据缺失:</b> ${esc(missing)} 个文件(缺 read_ranges/语义单元,已按 fail-closed 计为缺口)</p>`;
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}
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return s;
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}
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// Anti-fake spot check (three-piece suite item 3). Fail-closed: a
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// missing/incomplete spot_check renders "未执行 🔴" so reviews that
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// skipped the sampled re-read are visible instead of silently green.
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function renderSpotCheck(spot) {
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if (!spot) {
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return `<p><b>防伪抽验:</b> 未执行 🔴 <span class="muted">(主代理未回读任何语义单元;Step 5.5 应执行每组抽 2 文件 × 2-3 单元并落盘 spot_check)</span></p>`;
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}
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const groups = spot.groups_sampled;
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const files = spot.files_sampled;
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const units = spot.units_sampled;
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const fake = spot.fake_read_found || 0;
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const rereread = spot.groups_rereread || [];
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if (!units) {
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return `<p><b>防伪抽验:</b> 未执行 🔴 <span class="muted">(spot_check 已上报但单元数为 0)</span></p>`;
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}
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const mark = (fake || rereread.length) ? "🔴 发现假读" : "✅";
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let s = `<p><b>防伪抽验:</b> 抽样 ${esc(files)} 文件 / ${esc(units)} 单元 / ${esc(groups)} 组,假读 ${esc(fake)} ${mark}</p>`;
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if (rereread.length) {
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s += `<p class="muted">因假读重读组:${esc(rereread.join(", "))}</p>`;
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}
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return s;
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}
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const metrics = data.metrics || {};
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const mkeys = Object.keys(metrics);
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if (mkeys.length) {
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