refactor: extract domain.py (shared site/file/colmap config)

Move ALL_REPORT_SITES / SITE_UNDELIVERED_FILE / BAISHI_FILE / BAISHI_COLUMNS / arrived_pieces_* / STATIONS / _site_cfg out of expected_undelivered into a new leaf module inbound_verify/domain.py. store.py and runtime.py now read site/file config from domain directly instead of through the compare engine (store keeps eu only for _read_business_dates). Behavior identical.

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

inbound_verify/store.py

@@ -29,10 +29,14 @@ import yaml
 from psycopg.types.json import Jsonb
 
 from inbound_verify.paths import BASE_DIR, CONFIG_PATH, DOWNLOAD_DIR
+from inbound_verify.domain import (
+    BAISHI_FILE,
+    _site_cfg,
+)  # 站点 / 文件名配置（单一来源）
 
 from inbound_verify import (
     expected_undelivered as eu,
-)  # 复用站点 / 文件名 / 列映射 / 基号口径（单一来源）
+)  # _read_business_dates（比对侧业务日期读取）
 
 SCHEMA_PATH = os.path.join(BASE_DIR, "schema.sql")
 
@@ -261,7 +265,7 @@ _SQL_UNDELIVERED = """
 
 def _ingest_expected(cur, site, business_date):
     """入库单站应到（运单级，按 waybill_no 去重 keep-first 后 UPSERT）。"""
-    cfg = eu._site_cfg(site)
+    cfg = _site_cfg(site)
     path = os.path.join(DOWNLOAD_DIR, cfg["exp"])
     if not os.path.exists(path):
         print(f"   [跳过] {site} 应到：文件不存在 {cfg['exp']}")
@@ -293,7 +297,7 @@ def _ingest_expected(cur, site, business_date):
 
 def _ingest_actual(cur, site):
     """入库单站实到（扫描件级，按 piece_no UPSERT）。"""
-    cfg = eu._site_cfg(site)
+    cfg = _site_cfg(site)
     path = os.path.join(DOWNLOAD_DIR, cfg["act"])
     if not os.path.exists(path):
         print(f"   [跳过] {site} 实到：文件不存在 {cfg['act']}")
@@ -332,9 +336,9 @@ def _ingest_actual(cur, site):
 
 def _ingest_undelivered_baishi(cur):
     """入库百世应到未到明细（子单级，按 (site, piece_no) UPSERT）。"""
-    path = os.path.join(DOWNLOAD_DIR, eu.BAISHI_FILE)
+    path = os.path.join(DOWNLOAD_DIR, BAISHI_FILE)
     if not os.path.exists(path):
-        print(f"   [跳过] 百世 未到：文件不存在 {eu.BAISHI_FILE}")
+        print(f"   [跳过] 百世 未到：文件不存在 {BAISHI_FILE}")
         return 0
     df = pd.read_excel(path, dtype=str).fillna("")
     rows = []