chore: baseline V8.10.0-dev.1 with v8_workflows type-mapping fix and trade-pro spec

- SiteForge Enterprise V8.10.0-dev.1 upstream source (210 tests)
- Fix: v8_workflows._mapped_input now reads both 类型/分类 columns so WXR
  imports keep post/product types instead of collapsing to page
- Docs: trade-pro theme port spec (R3) and implementation plan

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

app/table_loader.py

@@ -0,0 +1,38 @@
+"""Decode Excel/CSV/JSON source files for a no-side-effect mapping preview."""
+import csv,io,json
+from openpyxl import load_workbook
+
+MAX_ROWS=1000
+
+def parse_table(name,data):
+    if len(data)>12_000_000:raise ValueError('文件超过12 MB')
+    lower=name.lower()
+    if lower.endswith('.csv'):
+        rows=list(csv.DictReader(io.StringIO(data.decode('utf-8-sig'))))
+    elif lower.endswith('.json'):
+        rows=json.loads(data.decode('utf-8-sig'))
+        if isinstance(rows,dict):rows=rows.get('rows',rows.get('entries',rows.get('items',[])))
+    elif lower.endswith('.xlsx'):
+        wb=load_workbook(io.BytesIO(data),read_only=True,data_only=True)
+        try:
+            ws=wb.active;iterator=ws.iter_rows(values_only=True)
+            header=next(iterator,None)
+            if header is None:raise ValueError('Excel 工作表为空')
+            titles=[str(x or '').strip() for x in header]
+            if not all(titles) or len(set(titles))!=len(titles):raise ValueError('Excel 列标题不能为空或重复')
+            rows=[]
+            for i,values in enumerate(iterator):
+                if i>=MAX_ROWS:raise ValueError('一次最多导入1000条记录')
+                if any(x is not None and str(x).strip() for x in values):
+                    rows.append(dict(zip(titles,values)))
+        finally:wb.close()
+    else:raise ValueError('支持 CSV、JSON 或 XLSX 文件')
+    if not isinstance(rows,list) or not 1<=len(rows)<=MAX_ROWS or any(not isinstance(r,dict) for r in rows):
+        raise ValueError('内容必须包含1-1000条对象记录')
+    keys=list(dict.fromkeys(str(k) for r in rows for k in r))
+    if not keys or len(keys)>150:raise ValueError('字段数量不合法')
+    # Date/datetime -> string to avoid JSON encoder serialization exceptions.
+    normalized=[]
+    for row in rows:
+        normalized.append({str(k):v.isoformat() if hasattr(v,'isoformat') else v for k,v in row.items()})
+    return {'filename':name,'columns':keys,'count':len(rows),'rows':normalized}