fix: 仅对储存历史CSV使用GBK

main.py

@@ -82,7 +82,8 @@ LTE_PLMN = "460-00"
 DATABASE_NAME = "interference_etl"
 DATABASE_TABLE = "interference_hourly_summary"
 DEFAULT_HISTORY_ROOT = f"{DEFAULT_ROOT}/干扰历史数据"
-CSV_ENCODING = "gbk"
+LOCAL_CSV_ENCODING = "utf-8-sig"
+HISTORY_CSV_ENCODING = "gbk"
 
 HEADER_FDD = (
     "开始时间",
@@ -806,7 +807,10 @@ def process(
                 stored_rows = store.rows_for_time(metric_time)
                 if not stored_rows:
                     raise ProcessingError(f"Database contains no rows for {metric_time_text}")
-                history_path = history.upload(metric_time, dict_csv_bytes(SUMMARY_HEADER, stored_rows))
+                history_path = history.upload(
+                    metric_time,
+                    dict_csv_bytes(SUMMARY_HEADER, stored_rows, HISTORY_CSV_ENCODING),
+                )
                 print("status=history_repaired")
                 print(f"target_time={metric_time_text}")
                 print(f"history_output={history_path}")
@@ -867,7 +871,10 @@ def process(
         if store is not None:
             database_result = store.replace_latest(summary_rows)
         if history is not None:
-            history_path = history.upload(metric_time, dict_csv_bytes(SUMMARY_HEADER, summary_rows))
+            history_path = history.upload(
+                metric_time,
+                dict_csv_bytes(SUMMARY_HEADER, summary_rows, HISTORY_CSV_ENCODING),
+            )
             history_result = {"enabled": True, "path": history_path}
         matched_coordinates = sum(bool(row["longitude"] and row["latitude"]) for row in summary_rows)
         manifest = {
@@ -1087,24 +1094,31 @@ def sql_decimal_literal(value: str, field: str, nullable: bool = False) -> str:
 
 
 def write_csv(path: Path, header: tuple[str, ...], rows: list[tuple[object, ...]]) -> None:
-    with path.open("w", encoding=CSV_ENCODING, newline="") as file:
+    with path.open("w", encoding=LOCAL_CSV_ENCODING, newline="") as file:
         writer = csv.writer(file)
         writer.writerow(header)
         for row in rows:
-            writer.writerow(normalize_csv_cell(value) for value in row)
+            writer.writerow(normalize_cell(value) for value in row)
 
 
 def write_dict_csv(path: Path, header: tuple[str, ...], rows: list[dict[str, str]]) -> None:
     path.write_bytes(dict_csv_bytes(header, rows))
 
 
-def dict_csv_bytes(header: tuple[str, ...], rows: list[dict[str, str]]) -> bytes:
+def dict_csv_bytes(
+    header: tuple[str, ...],
+    rows: list[dict[str, str]],
+    encoding: str = LOCAL_CSV_ENCODING,
+) -> bytes:
     output = io.StringIO(newline="")
     writer = csv.DictWriter(output, fieldnames=header, extrasaction="raise")
     writer.writeheader()
     for row in rows:
-        writer.writerow({column: normalize_csv_cell(row[column]) for column in header})
-    return output.getvalue().encode(CSV_ENCODING)
+        if encoding == HISTORY_CSV_ENCODING:
+            writer.writerow({column: normalize_csv_cell(row[column]) for column in header})
+        else:
+            writer.writerow(row)
+    return output.getvalue().encode(encoding)
 
 
 def ensure_scoped(root: Path, target: Path) -> None: