fix(report): make density facts readable and printable

Unify reader cleanup rules, lock writer table guards, and register the exact fictional timestamp collision. Preserve existing ordinary-report safety contracts and source-data gaps.

Validation: report Node 165/165, final safety 29/29, Python 101/101, Chrome 28/28; both PDFs retain all 130 rows. Full Node 3704 tests with the same 91 baseline failures. Privacy test: 62 passed, 1 failed due to 17 protected-file READ_ERRORs; not a green gate. Build, DB, manual checklist and controlled-login gaps remain documented. User explicitly authorized staging push with these gaps disclosed.

Co-Authored-By: Claude Code <noreply@anthropic.com>

frontend/src/lib/reader-appendix-language.ts

@@ -1,27 +1,32 @@
-/** Cache compatibility for the Python reader-only vocabulary projection. */
-const STATUS_LABELS: Readonly<Record<string, string>> = {
-  parameter_sensitive: "参数敏感",
-  pyjhora_behavior_only: "仅单一外部参照，未做多引擎核对",
-  not_multiengine_parity: "仅单一外部参照，未做多引擎核对",
-  unresolved_external_tuple_boundary: "外部边界未对齐",
-  partial_verified: "部分核验",
-  raw_appendix_only: "仅原始附录可见",
-  missing_in_local: "本地暂无",
-  internal_reference_omitted: "内部参照已省略",
-};
-const CELL_LABELS: Readonly<Record<string, string>> = {
-  blocked: "暂不可用", executed: "已执行", available: "可用", computed: "已计算",
-};
+import vocabulary from "../../../scripts/reader_appendix_language.rules.json";
+
+type VocabularyRule = Readonly<{
+  pattern: string;
+  ignoreCase?: boolean;
+  replacement?: string;
+  labels?: Readonly<Record<string, string>>;
+  labelGroup?: number;
+  prefix?: string;
+  beforeGroups?: readonly number[];
+  afterGroups?: readonly number[];
+}>;
+
+// One rule source for Python and TS; the JSON ships in both existing images.
+const chartFence = new RegExp(vocabulary.chartFencePattern, "m");
+const replacements = (vocabulary.rules as readonly VocabularyRule[]).map((rule) => ({
+  rule,
+  pattern: new RegExp(rule.pattern, rule.ignoreCase ? "gi" : "g"),
+}));
 
 export function cleanReaderAppendixMarkdown(markdown: string): string {
-  return markdown.split(/(^[ \t]*```jyotish-chart[^\n]*\n[\s\S]*?^[ \t]*```[^\n]*(?:\n|$))/m)
-    .map((part, index) => index % 2 ? part : part
-      .replace(new RegExp(`\\b(${Object.keys(STATUS_LABELS).join("|")})\\b`, "g"), (value) => STATUS_LABELS[value])
-      .replace(/\b(?:jyotish_engine\.)?(?:cmd_[a-z0-9_]+|render_pl9_markdown|build_professional_report_reference_packet)\b/g, "本地计算")
-      .replace(/\b(?:[a-z0-9_]+pl9[a-z0-9_]*|pl9_[a-z0-9_]+)(?:\.v\d+)?\b/gi, "外部参照资料")
-      .replace(/\bPL9\b(?:\.pdf)?(?:[ \t]*(?:第[ \t]*\d+(?:[ \t]*[–—/-][ \t]*\d+)*[ \t]*页|(?:pages?|p)[ \t-]*\d+(?:[ \t]*[–—/-][ \t]*\d+)*))?/gi, "外部参照资料")
-      .replace(/\b(?:PyJHora|JHora)\b/gi, "外部参照引擎")
-      .replace(/\|([ \t]*)(`?)(blocked|executed|available|computed)\2([ \t]*)(?=\|)/g,
-        (_match, before: string, quote: string, value: string, after: string) => `|${before}${quote}${CELL_LABELS[value]}${quote}${after}`))
-    .join("");
+  return markdown.split(chartFence).map((part, index) => {
+    if (index % 2) return part;
+    return replacements.reduce((value, { pattern, rule }) => value.replace(pattern, (...match) => {
+      if (rule.replacement !== undefined) return rule.replacement;
+      return (rule.prefix ?? "")
+        + (rule.beforeGroups ?? []).map((group) => match[group]).join("")
+        + rule.labels![match[rule.labelGroup!]]
+        + (rule.afterGroups ?? []).map((group) => match[group]).join("");
+    }), part);
+  }).join("");
 }