285 lines
11 KiB
Python
285 lines
11 KiB
Python
# --- shared.py ---
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import asyncio
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import json
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import os
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import re
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from collections import defaultdict
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DEBUG_MODE = False
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USE_DB = True # PostgreSQL Feature Toggle
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def debug_print(msg: str):
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if DEBUG_MODE:
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print(msg)
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# 預設的 CMTS 連線樣板
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CMTS_DEVICE = {
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'device_type': 'cisco_ios',
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'host': '10.14.110.4',
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'username': 'admin',
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'password': 'nsgadmin',
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'port': 22,
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'fast_cli': False,
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'global_delay_factor': 2
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}
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def parse_cli_to_tree(cli_text: str) -> dict:
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"""
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將 CMTS 的 CLI 配置文字轉換為完美的邏輯巢狀 JSON (兩階段解析法)
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"""
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# ==========================================
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# 🌟 階段 0：預處理 (修復終端機 200 字元自動折行問題)
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# ==========================================
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raw_lines = cli_text.split('\n')
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fixed_lines = []
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# 定義常見的 Root 指令關鍵字，避免把正常的指令誤判為斷行
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root_keywords = (
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'alias', 'ssh', 'hostname', 'logging', 'cable', 'ipdr',
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'snmp-server', 'aaa', 'radius-server', 'privilege', 'cli', 'packetcable',
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'system', 'network', 'clock', 'no'
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)
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for line in raw_lines:
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line = line.replace('\r', '')
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if not line.strip():
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continue
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# 💡 判斷是否為被截斷的行：
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# 1. 前一行長度非常長 (大於 190 字元，根據您的截圖，極限是 199)
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# 2. 當前行「沒有縮排」(終端機自動折行會把字元推到最左邊第 0 格)
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# 3. 當前行不是註解 '!'
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if fixed_lines and len(fixed_lines[-1]) > 190 and not line.startswith(' ') and not line.startswith('!'):
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# 取得當前行的第一個單字
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first_word = line.strip().split()[0] if line.strip() else ""
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# 確保它不是一個正常的 Root 指令
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if first_word not in root_keywords:
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# ✅ 觸發黏合邏輯：將這行直接接在上一行後面
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fixed_lines[-1] = fixed_lines[-1] + line
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continue
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fixed_lines.append(line)
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# 統一去除右側多餘空白，準備進入階段 1
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lines = [line.rstrip() for line in fixed_lines if line.strip()]
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# ==========================================
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# 階段 1：建立實體樹 (嚴格比對縮排與 '!' 的對應關係)
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# ==========================================
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def build_raw_tree(start_idx, current_indent):
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nodes = []
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i = start_idx
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while i < len(lines):
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line = lines[i]
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stripped = line.strip()
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indent = len(line) - len(line.lstrip())
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# 🌟 嚴格判斷 1：遇到「真實指令」縮排退回，才代表區塊結束
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# (加上 stripped != '!'，防止設備偶發的「0 縮排 !」導致區塊被誤殺)
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if indent < current_indent and stripped != '!':
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return nodes, i
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# 🌟 嚴格判斷 2：處理 ! (無論縮排多少，都當純分隔符消耗掉)
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if stripped == '!':
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i += 1
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continue
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# 🌟 探測是否有子節點 (強化版：往下尋找第一個「非 !」的真實指令來判斷)
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has_children = False
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next_i = i + 1
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while next_i < len(lines) and lines[next_i].strip() == '!':
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next_i += 1
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if next_i < len(lines):
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next_line = lines[next_i]
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next_indent = len(next_line) - len(next_line.lstrip())
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if next_indent > indent:
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has_children = True
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if has_children:
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children, next_i = build_raw_tree(i + 1, next_indent)
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nodes.append({"type": "folder", "content": stripped, "children": children})
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i = next_i
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else:
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nodes.append({"type": "leaf", "content": stripped})
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i += 1
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return nodes, i
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raw_tree, _ = build_raw_tree(0, 0)
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# ==========================================
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# 階段 2：邏輯群組化與字典合併
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# ==========================================
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def deep_merge(dict1, dict2):
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"""深度合併兩個字典 (解決同名資料夾與指令群組的融合)"""
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for k, v in dict2.items():
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if k in dict1:
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if isinstance(dict1[k], dict) and isinstance(v, dict):
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deep_merge(dict1[k], v)
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else:
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# 發生碰撞時的安全機制
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idx = 1
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while f"{k} [{idx}]" in dict1:
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idx += 1
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dict1[f"{k} [{idx}]"] = v
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else:
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dict1[k] = v
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def nest_folder_key(key_string, value_dict, target_dict):
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"""將 'cable mac-domain 13' 拆解為巢狀字典"""
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parts = key_string.split()
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current = target_dict
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for i, part in enumerate(parts):
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if i == len(parts) - 1:
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if part not in current:
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current[part] = value_dict
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else:
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if isinstance(current[part], dict) and isinstance(value_dict, dict):
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deep_merge(current[part], value_dict)
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else:
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current[f"{part} (資料夾)"] = value_dict
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else:
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if part not in current or not isinstance(current[part], dict):
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current[part] = {}
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current = current[part]
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def group_leaves(leaf_strings):
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"""將單行指令依據共同前綴進行遞迴群組化"""
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grouped = {}
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first_word_map = defaultdict(list)
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for s in leaf_strings:
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parts = s.split(maxsplit=1)
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first_word = parts[0]
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remainder = parts[1] if len(parts) > 1 else ""
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first_word_map[first_word].append(remainder)
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for prefix, remainders in first_word_map.items():
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if len(remainders) == 1:
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grouped[prefix] = remainders[0]
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else:
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valid_remainders = [r for r in remainders if r]
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empty_count = len(remainders) - len(valid_remainders)
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group_dict = {}
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if valid_remainders:
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sub_grouped = group_leaves(valid_remainders)
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# 判斷是否全為純陣列值 (例如 IP 列表)
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is_all_empty_vals = all(not isinstance(v, dict) and v == "" for v in sub_grouped.values())
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if is_all_empty_vals:
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for i, k in enumerate(sub_grouped.keys()):
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group_dict[f"[{i}]"] = k
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else:
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idx = 0
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for k, v in sub_grouped.items():
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if isinstance(v, dict):
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group_dict[k] = v
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elif v == "":
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group_dict[f"[{idx}]"] = k
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idx += 1
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else:
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group_dict[k] = v
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# 補回完全沒有後續參數的指令
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for _ in range(empty_count):
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idx = 0
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while f"[{idx}]" in group_dict:
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idx += 1
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group_dict[f"[{idx}]"] = ""
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grouped[prefix] = group_dict
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return grouped
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def fold_nodes(nodes):
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result = {}
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# 1. 處理資料夾 (Folders)
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for node in [n for n in nodes if n["type"] == "folder"]:
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folded_children = fold_nodes(node["children"])
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nest_folder_key(node["content"], folded_children, result)
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# 2. 處理單行指令 (Leaves)
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leaves = [n["content"] for n in nodes if n["type"] == "leaf"]
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if leaves:
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leaf_dict = group_leaves(leaves)
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deep_merge(result, leaf_dict)
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return result
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return fold_nodes(raw_tree)
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def deep_split_tree(data):
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"""將平坦的 CLI 字典，依照空白字元拆分成深層巢狀結構 (具備終極型態衝突保護)"""
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if not isinstance(data, dict):
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return data
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nested_tree = {}
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for key, value in data.items():
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processed_value = deep_split_tree(value)
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parts = str(key).strip().split()
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if not parts:
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continue
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current = nested_tree
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for i, part in enumerate(parts):
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if i == len(parts) - 1:
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if part not in current:
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current[part] = processed_value
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else:
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# 💡 終極衝突保護：安全轉型，絕不遺失資料
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if isinstance(current[part], dict) and isinstance(processed_value, dict):
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current[part].update(processed_value)
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elif isinstance(current[part], dict) and not isinstance(processed_value, dict):
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# 原本是資料夾，新來的是字串 -> 塞入虛擬 key [0], [1]
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idx = 0
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while f"[{idx}]" in current[part]: idx += 1
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current[part][f"[{idx}]"] = processed_value
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elif not isinstance(current[part], dict) and isinstance(processed_value, dict):
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# 原本是字串，新來的是資料夾 -> 升級成資料夾，並保留原字串至 [0]
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old_val = current[part]
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current[part] = processed_value
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idx = 0
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while f"[{idx}]" in current[part]: idx += 1
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current[part][f"[{idx}]"] = old_val
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else:
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# 兩者都是字串 -> 升級成資料夾，包含兩個字串
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old_val = current[part]
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current[part] = {"[0]": old_val, "[1]": processed_value}
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else:
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if part not in current:
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current[part] = {}
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elif not isinstance(current[part], dict):
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# 中間節點原本是字串，必須升級為資料夾，並保留原字串
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old_val = current[part]
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current[part] = {"[0]": old_val}
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current = current[part]
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return nested_tree
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# ==========================================
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# 💡 系統設定管理 (System Settings Manager)
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# ==========================================
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SETTINGS_FILE = "system_settings.json"
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def load_settings():
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"""讀取系統設定，若檔案不存在則回傳預設的黑名單"""
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if os.path.exists(SETTINGS_FILE):
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try:
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with open(SETTINGS_FILE, "r", encoding="utf-8") as f:
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return json.load(f)
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except Exception:
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pass
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# 預設隱藏這些比較雜亂且不常修改的系統層級設定
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return {"hidden_keys": ["logging", "privilege", "aaa", "certificate", "line"]}
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def save_settings(settings_data):
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"""將系統設定寫入 JSON 檔案"""
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with open(SETTINGS_FILE, "w", encoding="utf-8") as f:
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json.dump(settings_data, f, indent=4, ensure_ascii=False)
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# 全域非同步鎖：確保同一時間只有一人能執行設定寫入
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cmts_config_lock = asyncio.Lock()
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