fix: 按最大干扰值去重CGI

main.py

@@ -863,6 +863,7 @@ def process(
                 }
             )
 
+        duplicate_cgi_rows = deduplicate_by_cgi(summary_rows)
         populate_nearby_counts(summary_rows)
         populate_previous_values(summary_rows, previous_rows)
         summary_rows.sort(key=lambda item: (item["cgi"], item["cell_name"]))
@@ -884,6 +885,7 @@ def process(
             "cell_data_file_count": len(cell_data_workbooks),
             "summary_rows": len(summary_rows),
             "threshold_filtered_rows": threshold_filtered_rows,
+            "duplicate_cgi_rows": duplicate_cgi_rows,
             "coordinate_matched_rows": matched_coordinates,
             "coordinate_unmatched_rows": len(summary_rows) - matched_coordinates,
             "files": manifest_files,
@@ -907,6 +909,7 @@ def process(
     print(f"cell_data_files={len(cell_data_workbooks)}")
     print(f"summary_rows={len(summary_rows)}")
     print(f"threshold_filtered_rows={threshold_filtered_rows}")
+    print(f"duplicate_cgi_rows={duplicate_cgi_rows}")
     print(f"coordinate_matched_rows={matched_coordinates}")
     print(f"coordinate_unmatched_rows={len(summary_rows) - matched_coordinates}")
     if database_result["enabled"]:
@@ -1013,6 +1016,21 @@ def populate_nearby_counts(rows: list[dict[str, str]]) -> None:
         rows[index]["nearby_count"] = str(count)
 
 
+def deduplicate_by_cgi(rows: list[dict[str, str]]) -> int:
+    selected: dict[str, dict[str, str]] = {}
+    removed = 0
+    for row in rows:
+        previous = selected.get(row["cgi"])
+        if previous is None:
+            selected[row["cgi"]] = row
+            continue
+        if Decimal(row["interference_dbm"]) > Decimal(previous["interference_dbm"]):
+            selected[row["cgi"]] = row
+        removed += 1
+    rows[:] = selected.values()
+    return removed
+
+
 def populate_previous_values(rows: list[dict[str, str]], previous_rows: list[dict[str, str]]) -> None:
     previous_by_cgi = {row["cgi"]: row for row in previous_rows}
     for row in rows: