fix: use entity_to_row for backup CSV output and handle non-numeric state values

Switch backup to write converted entities instead of raw table rows via
entity_to_row, and map string state values like "Payed"/"Recived" to their
integer equivalents during CSV parsing. Add sandbox.toml config.

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>

assets/sandbox.toml

@@ -0,0 +1,12 @@
+
+[azure]
+connection_string = "DefaultEndpointsProtocol=https;AccountName=n3ordersmokestorage;AccountKey=aETnv18XBLUDVg7W1fu9ilnKchdLRy2sI2pJJyzqG6R/fqwcnIoSm7eM8ObyXFQAsvZrddZZTBN0+AStnOK/wg==;EndpointSuffix=core.windows.net;"
+
+[scan]
+page_size = 500
+delay_ms = 200
+scan_dir = "./scan"
+
+[delete]
+batch_size = 100
+delay_ms = 300

src/order_bak/backup.py

@@ -3,7 +3,7 @@ from collections import defaultdict
 from datetime import datetime
 from pathlib import Path
 
-from order_bak.csv_utils import CSV_COLUMNS, parse_row
+from order_bak.csv_utils import CSV_COLUMNS, entity_to_row, parse_row
 
 
 def backup_orders(
@@ -28,7 +28,7 @@ def backup_orders(
             if order_time < start or order_time >= end:
                 continue
             date_key = order_time.strftime("%Y-%m-%d")
-            by_date[date_key].append(raw_row)
+            by_date[date_key].append(entity)
 
     total = 0
     for date_key, rows in sorted(by_date.items()):
@@ -36,7 +36,7 @@ def backup_orders(
         with open(csv_path, "w", newline="") as f:
             writer = csv.DictWriter(f, fieldnames=CSV_COLUMNS)
             writer.writeheader()
-            writer.writerows(rows)
+            writer.writerows(entity_to_row(r) for r in rows)
         total += len(rows)
         print(f"  {date_key}: {len(rows)} orders")
 

src/order_bak/csv_utils.py

@@ -43,8 +43,14 @@ def parse_row(raw: dict[str, str]) -> dict[str, Any]:
             result[col] = datetime.fromisoformat(val)
         elif col in ("revenue", "prodPrice"):
             result[col] = float(val)
-        elif col in ("prodCount", "state", "ver"):
+        elif col in ("prodCount", "ver"):
             result[col] = int(val)
+        elif col == "state":
+            try:
+                result[col] = int(val)
+            except ValueError:
+                _STATE_MAP = {"Payed": 0, "Recived": 1}
+                result[col] = _STATE_MAP.get(val, val)
         else:
             result[col] = val
     return result