app: description: '' icon: 🤖 icon_background: '#FFEAD5' icon_type: emoji mode: workflow name: 通信网络故障智能诊断工作流 use_icon_as_answer_icon: false dependencies: - current_identifier: null type: marketplace value: marketplace_plugin_unique_identifier: langgenius/siliconflow:0.0.61@f0952b183715405503a23ccef015e5d43948591fd10b60690f24c07873eed723 version: null - current_identifier: null type: marketplace value: marketplace_plugin_unique_identifier: bowenliang123/md_exporter:3.6.0@11b39de742c7f3d61db183ff8e938f08fc14b98549e4b5159551e82aa74f7b41 version: null - current_identifier: null type: marketplace value: marketplace_plugin_unique_identifier: langgenius/tongyi:0.2.1@0924de1d15a8a35b0cc64ff396c68d5edddcfbc495a1e52ea57e8648434eff4b version: null kind: app version: 0.7.0 workflow: conversation_variables: [] environment_variables: [] features: file_upload: allowed_file_extensions: - .JPG - .JPEG - .PNG - .GIF - .WEBP - .SVG allowed_file_types: - image allowed_file_upload_methods: - local_file - remote_url enabled: false fileUploadConfig: attachment_image_file_size_limit: 2 audio_file_size_limit: 50 batch_count_limit: 10 file_size_limit: 30 file_upload_limit: 20 image_file_batch_limit: 10 image_file_size_limit: 10 single_chunk_attachment_limit: 10 video_file_size_limit: 100 workflow_file_upload_limit: 15 image: enabled: false number_limits: 3 transfer_methods: - local_file - remote_url number_limits: 3 opening_statement: '' retriever_resource: enabled: true sensitive_word_avoidance: enabled: false speech_to_text: enabled: false suggested_questions: [] suggested_questions_after_answer: enabled: false text_to_speech: enabled: false language: '' voice: '' graph: edges: - data: isInIteration: false isInLoop: false sourceType: start targetType: document-extractor id: 1788329510283-source-1788330698134-target source: '1788329510283' sourceHandle: source target: '1788330698134' targetHandle: target type: custom zIndex: 0 - data: isInIteration: false isInLoop: false sourceType: document-extractor targetType: code id: 1788330698134-source-1788330733325-target source: '1788330698134' sourceHandle: source target: '1788330733325' targetHandle: target type: custom zIndex: 0 - data: isInIteration: false isInLoop: false sourceType: start targetType: if-else id: 1788329510283-source-1788331739155-target source: '1788329510283' sourceHandle: source target: '1788331739155' targetHandle: target type: custom zIndex: 0 - data: isInIteration: false isInLoop: false sourceType: if-else targetType: code id: 1788331739155-true-1788331843557-target source: '1788331739155' sourceHandle: 'true' target: '1788331843557' targetHandle: target type: custom zIndex: 0 - data: isInIteration: false isInLoop: false sourceType: if-else targetType: document-extractor id: 1788331739155-false-1788331807537-target source: '1788331739155' sourceHandle: 'false' target: '1788331807537' targetHandle: target type: custom zIndex: 0 - data: isInIteration: false isInLoop: false sourceType: code targetType: code id: 1788331843557-source-1788331982688-target source: '1788331843557' sourceHandle: source target: '1788331982688' targetHandle: target type: custom zIndex: 0 - data: isInIteration: false isInLoop: false sourceType: document-extractor targetType: code id: 1788331807537-source-1788331982688-target source: '1788331807537' sourceHandle: source target: '1788331982688' targetHandle: target type: custom zIndex: 0 - data: isInIteration: false isInLoop: false sourceType: code targetType: code id: 1788331982688-source-1788332032668-target source: '1788331982688' sourceHandle: source target: '1788332032668' targetHandle: target type: custom zIndex: 0 - data: isInIteration: false isInLoop: false sourceType: code targetType: code id: 1788330733325-source-1788335817786-target source: '1788330733325' sourceHandle: source target: '1788335817786' targetHandle: target type: custom zIndex: 0 - data: isInIteration: false isInLoop: false sourceType: code targetType: code id: 1788332032668-source-1788335817786-target source: '1788332032668' sourceHandle: source target: '1788335817786' targetHandle: target type: custom zIndex: 0 - data: isInIteration: false isInLoop: false sourceType: code targetType: iteration id: 1788335817786-source-1788337304285-target source: '1788335817786' sourceHandle: source target: '1788337304285' targetHandle: target type: custom zIndex: 0 - data: isInIteration: true isInLoop: false iteration_id: '1788337304285' sourceType: iteration-start targetType: code id: 1788337304285start-source-1788337339793-target source: 1788337304285start sourceHandle: source target: '1788337339793' targetHandle: target type: custom zIndex: 1001 - data: isInIteration: true isInLoop: false iteration_id: '1788337304285' sourceType: code targetType: knowledge-retrieval id: 1788337339793-source-1788338544990-target source: '1788337339793' sourceHandle: source target: '1788338544990' targetHandle: target type: custom zIndex: 1001 - data: isInIteration: true isInLoop: false iteration_id: '1788337304285' sourceType: knowledge-retrieval targetType: llm id: 1788338544990-source-1788338632376-target source: '1788338544990' sourceHandle: source target: '1788338632376' targetHandle: target type: custom zIndex: 1001 - data: isInIteration: false isInLoop: false sourceType: iteration targetType: llm id: 1788337304285-source-1788338943159-target source: '1788337304285' sourceHandle: source target: '1788338943159' targetHandle: target type: custom zIndex: 0 - data: isInIteration: false isInLoop: false sourceType: code targetType: llm id: 1788335817786-source-1788338943159-target source: '1788335817786' sourceHandle: source target: '1788338943159' targetHandle: target type: custom zIndex: 0 - data: isInIteration: false isInLoop: false sourceType: llm targetType: tool id: 1788338943159-source-1791377555308-target source: '1788338943159' sourceHandle: source target: '1791377555308' targetHandle: target type: custom zIndex: 0 - data: isInIteration: false isInLoop: false sourceType: tool targetType: end id: 1791377555308-source-1788339385458-target source: '1791377555308' sourceHandle: source target: '1788339385458' targetHandle: target type: custom zIndex: 0 nodes: - data: selected: false title: 用户输入 type: start variables: - allowed_file_extensions: [] allowed_file_types: - document allowed_file_upload_methods: - local_file - remote_url default: '' hide: false hint: '' label: device_logs options: [] placeholder: '' required: true type: file variable: device_logs - allowed_file_extensions: [] allowed_file_types: - document allowed_file_upload_methods: - local_file - remote_url default: '' hide: false hint: '' label: workorder options: [] placeholder: '' required: false type: file variable: workorder - default: '' hint: '' label: workorder_text max_length: 256 options: [] placeholder: '' required: false type: text-input variable: workorder_text height: 161 id: '1788329510283' position: x: 83 y: 208 positionAbsolute: x: 83 y: 208 selected: false sourcePosition: right targetPosition: left type: custom width: 242 zIndex: 0 - data: is_array_file: false selected: false title: 日志提取 type: document-extractor variable_selector: - '1788329510283' - device_logs height: 105 id: '1788330698134' position: x: 508 y: 143 positionAbsolute: x: 508 y: 143 selected: false sourcePosition: right targetPosition: left type: custom width: 242 zIndex: 0 - data: code: "import json\nfrom typing import Dict, List, Any\n\n\ndef main(text:\ \ str) -> Dict[str, str]:\n \"\"\"\n Dify Code 节点入口函数。\n 解析 Markdown\ \ 表格日志，过滤并分组输出 JSON。\n\n Args:\n text: Markdown 表格文本\n\n Returns:\n\ \ 包含 \"device_error_list\" 键的字典，其值为 JSON 字符串\n \"\"\"\n if\ \ not text or not text.strip():\n return {\"device_error_list\":\ \ \"{}\"}\n\n lines = [line.strip() for line in text.splitlines() if\ \ line.strip()]\n if not lines:\n return {\"device_error_list\"\ : \"{}\"}\n\n # 识别表头行、分隔行和数据行\n header_line = None\n data_lines\ \ = []\n\n for line in lines:\n # 必须是有效的表格行（以 | 开头和结尾）\n \ \ if not (line.startswith('|') and line.endswith('|')):\n continue\n\ \n # 分隔行特征：包含连续的 --- 或 :---:\n if '---' in line:\n \ \ continue # 跳过分隔行\n\n if header_line is None:\n \ \ header_line = line\n else:\n data_lines.append(line)\n\ \n if header_line is None:\n # 无法解析表头，返回空结果\n return {\"\ device_error_list\": \"{}\"}\n\n # 解析表头列名\n header_cells = [cell.strip()\ \ for cell in header_line.split('|')[1:-1]]\n # 确定关键列的索引（不区分大小写，模糊匹配）\n\ \ idx_timestamp = idx_severity = idx_device = idx_message = None\n\n\ \ for i, col in enumerate(header_cells):\n col_lower = col.lower()\n\ \ if 'timestamp' in col_lower or 'time' in col_lower:\n \ \ idx_timestamp = i\n elif 'severity' in col_lower or 'level' in\ \ col_lower:\n idx_severity = i\n elif 'device' in col_lower\ \ or 'device_id' in col_lower or 'host' in col_lower:\n idx_device\ \ = i\n elif 'message' in col_lower or 'msg' in col_lower:\n \ \ idx_message = i\n\n # 若未找到，按默认顺序（0: timestamp, 1: severity,\ \ 2: device, 3: message）\n if idx_timestamp is None:\n idx_timestamp\ \ = 0\n if idx_severity is None:\n idx_severity = 1\n if idx_device\ \ is None:\n idx_device = 2\n if idx_message is None:\n \ \ idx_message = 3\n\n max_needed_idx = max(idx_timestamp, idx_severity,\ \ idx_device, idx_message)\n\n # 解析数据行\n records: List[Dict[str, Any]]\ \ = []\n\n for line in data_lines:\n cells = [cell.strip() for\ \ cell in line.split('|')[1:-1]]\n # 补齐缺失的列（末尾空列可能被省略）\n while\ \ len(cells) <= max_needed_idx:\n cells.append('')\n\n \ \ timestamp = cells[idx_timestamp] if idx_timestamp < len(cells) else ''\n\ \ severity = cells[idx_severity].upper() if idx_severity < len(cells)\ \ else ''\n device = cells[idx_device] if idx_device < len(cells)\ \ else ''\n message = cells[idx_message] if idx_message < len(cells)\ \ else ''\n\n # 只保留 ERROR 和 CRITICAL（去掉 WARNING）\n if severity\ \ not in ('ERROR', 'CRITICAL'):\n continue\n\n # 移除 message\ \ 开头的 \"设备名: \" 前缀\n if device and message.startswith(device + ':\ \ '):\n message = message[len(device) + 2:]\n\n records.append({\n\ \ 'timestamp': timestamp,\n 'severity': severity,\n\ \ 'message': message,\n 'device': device\n \ \ })\n\n # 按设备分组\n groups: Dict[str, List[Dict[str, str]]] = {}\n\ \ for rec in records:\n device = rec.pop('device')\n groups.setdefault(device,\ \ []).append(rec)\n\n # 每组按时间排序（字符串排序，假设时间格式可比较）\n for dev in groups:\n\ \ groups[dev].sort(key=lambda x: x['timestamp'])\n\n # 转为 JSON\ \ 字符串，中文不转义\n json_str = json.dumps(groups, ensure_ascii=False)\n\n \ \ return {\"device_error_list\": json_str}" code_language: python3 default_value: - key: device_error_list type: string value: 缺失字段 error_strategy: default-value outputs: device_error_list: children: null type: string selected: false title: 日志处理 type: code variables: - value_selector: - '1788330698134' - text value_type: string variable: text height: 88 id: '1788330733325' position: x: 1458.3946364096894 y: 143 positionAbsolute: x: 1458.3946364096894 y: 143 selected: false sourcePosition: right targetPosition: left type: custom width: 242 zIndex: 0 - data: cases: - case_id: 'true' conditions: - comparison_operator: not empty id: c93e0817-2d82-4368-bab8-59ad3966c5f8 value: '' varType: string variable_selector: - '1788329510283' - workorder_text id: 'true' logical_operator: and selected: false title: 工单来源匹配 type: if-else height: 140 id: '1788331739155' position: x: 491.9556194875337 y: 388.25622964762124 positionAbsolute: x: 491.9556194875337 y: 388.25622964762124 selected: false sourcePosition: right targetPosition: left type: custom width: 242 zIndex: 0 - data: is_array_file: false selected: false title: 工单提取 type: document-extractor variable_selector: - '1788329510283' - workorder height: 105 id: '1788331807537' position: x: 801 y: 676.0334747713231 positionAbsolute: x: 801 y: 676.0334747713231 selected: false sourcePosition: right targetPosition: left type: custom width: 242 zIndex: 0 - data: code: "def main(workorder_text: any) -> dict:\n return {\"text\": str(workorder_text)}" code_language: python3 outputs: text: children: null type: string selected: false title: 文本直传 type: code variables: - value_selector: - '1788329510283' - workorder_text value_type: string variable: workorder_text height: 52 id: '1788331843557' position: x: 801 y: 428.1615087319258 positionAbsolute: x: 801 y: 428.1615087319258 selected: false sourcePosition: right targetPosition: left type: custom width: 242 zIndex: 0 - data: code: "def main(text_from_string: str, text_from_file: str) -> dict:\n \ \ \"\"\"\n Dify Code 节点入口函数\n :param text_from_string: 来自字符串的输入\n\ \ :param text_from_file: 来自文件的输入\n :return: 包含 'merged_text' 键的字典，值为优先选择的非空字符串\n\ \ \"\"\"\n # 去除首尾空格，若为 None 则转换为空字符串\n s = text_from_string.strip()\ \ if text_from_string else \"\"\n f = text_from_file.strip() if text_from_file\ \ else \"\"\n\n # 优先取非空的字符串参数，否则取文件参数（可能为空）\n merged = s if s else\ \ f\n\n return {\"merged_text\": merged}" code_language: python3 outputs: merged_text: children: null type: string selected: false title: 合并工单文本 type: code variables: - value_selector: - '1788331843557' - text value_type: string variable: text_from_string - value_selector: - '1788331807537' - text value_type: string variable: text_from_file height: 52 id: '1788331982688' position: x: 1142 y: 554 positionAbsolute: x: 1142 y: 554 selected: false sourcePosition: right targetPosition: left type: custom width: 242 zIndex: 0 - data: code: "import csv, json, io\nfrom datetime import datetime, timedelta\n\n\ def parse_table(text):\n if not isinstance(text, str):\n text\ \ = str(text or \"\")\n text = text.strip()\n if not text:\n \ \ return []\n lines = [ln for ln in text.splitlines() if ln.strip()]\n\ \ if \"|\" in lines[0]:\n rows = []\n header = None\n \ \ for ln in lines:\n cells = [c.strip() for c in ln.strip().strip(\"\ |\").split(\"|\")]\n if cells and all(c and set(c) <= set(\"\ -: \") for c in cells):\n continue\n if header\ \ is None:\n header = cells\n continue\n \ \ row = {}\n for i, h in enumerate(header):\n \ \ row[h] = cells[i] if i < len(cells) else \"\"\n rows.append(row)\n\ \ return rows\n return list(csv.DictReader(io.StringIO(text)))\n\ \ndef main(text):\n rows = parse_table(text)\n groups = {}\n order_seq\ \ = []\n for r in rows:\n ts = (r.get(\"timestamp\") or \"\").strip()\n\ \ dev = (r.get(\"related_device\") or \"\").strip()\n key\ \ = (ts, dev)\n if key not in groups:\n groups[key] =\ \ []\n order_seq.append(key)\n groups[key].append(r)\n\ \ result = []\n for key in order_seq:\n items = groups[key]\n\ \ ts, dev = key\n order_ids = [i.get(\"order_id\", \"\").strip()\ \ for i in items]\n user_ids = [i.get(\"user_id\", \"\").strip()\ \ for i in items]\n t_start = t_end = \"\"\n try:\n \ \ dt = datetime.strptime(ts, \"%Y-%m-%d %H:%M:%S\")\n t_start\ \ = (dt - timedelta(minutes=10)).strftime(\"%Y-%m-%d %H:%M:%S\")\n \ \ t_end = (dt + timedelta(minutes=10)).strftime(\"%Y-%m-%d %H:%M:%S\"\ )\n except Exception:\n pass\n first = items[0]\n\ \ result.append({\n \"merged_order_ids\": order_ids,\n\ \ \"related_device\": dev,\n \"user_ids\": user_ids,\n\ \ \"timestamp\": ts,\n \"time_start\": t_start,\n\ \ \"time_end\": t_end,\n \"complaint_type\": first.get(\"\ complaint_type\", \"\").strip(),\n \"description\": first.get(\"\ description\", \"\").strip()\n })\n return {\"work_order_with_time\"\ : json.dumps(result, ensure_ascii=False)}" code_language: python3 outputs: work_order_with_time: children: null type: string selected: false title: 工单处理 type: code variables: - value_selector: - '1788331982688' - merged_text value_type: string variable: text height: 52 id: '1788332032668' position: x: 1464.197964355585 y: 554 positionAbsolute: x: 1464.197964355585 y: 554 selected: false sourcePosition: right targetPosition: left type: custom width: 242 zIndex: 0 - data: code: "from datetime import datetime\nimport json, re\n\ndef main(work_order_with_time,\ \ device_error_list):\n def parse_llm_json(x):\n if isinstance(x,\ \ (list, dict)):\n return x\n if not isinstance(x, str):\n\ \ return None\n s = x.strip()\n m = re.search(r\"\ ```(?:json)?\\s*(.*?)\\s*```\", s, re.S)\n if m:\n s =\ \ m.group(1).strip()\n try:\n return json.loads(s)\n \ \ except Exception:\n return None\n\n def parse_time(s):\n\ \ if not isinstance(s, str):\n return None\n for\ \ fmt in [\"%Y-%m-%d %H:%M:%S\", \"%Y/%m/%d %H:%M\", \"%Y/%m/%d %H:%M:%S\"\ ]:\n try:\n return datetime.strptime(s.strip(),\ \ fmt)\n except Exception:\n continue\n \ \ return None\n\n wo_raw = parse_llm_json(work_order_with_time)\n \ \ orders = []\n if isinstance(wo_raw, dict):\n wo_raw = wo_raw.get(\"\ work_order_with_time\", wo_raw)\n if isinstance(wo_raw, list):\n \ \ orders = [o for o in wo_raw if isinstance(o, dict)]\n\n log_raw\ \ = parse_llm_json(device_error_list)\n dev_logs = {}\n if isinstance(log_raw,\ \ dict):\n if \"device_error_list\" in log_raw and isinstance(log_raw[\"\ device_error_list\"], list):\n for dd in log_raw[\"device_error_list\"\ ]:\n if isinstance(dd, dict) and dd.get(\"device_id\"):\n\ \ dev_logs[dd[\"device_id\"]] = dd.get(\"error_logs\"\ , []) or []\n else:\n for dev_id, logs in log_raw.items():\n\ \ if isinstance(logs, list):\n dev_logs[dev_id]\ \ = logs\n elif isinstance(log_raw, list):\n for dd in log_raw:\n\ \ if isinstance(dd, dict) and dd.get(\"device_id\"):\n \ \ dev_logs[dd[\"device_id\"]] = dd.get(\"error_logs\", []) or []\n\ \n report = \"\"\n retrieve_list = []\n for order in orders:\n\ \ device = order.get(\"related_device\", \"\")\n oid = order.get(\"\ merged_order_ids\") or order.get(\"order_id\") or \"\"\n if isinstance(oid,\ \ list):\n oid = \", \".join(str(x) for x in oid)\n users\ \ = order.get(\"user_ids\") or order.get(\"user_id\") or \"\"\n if\ \ isinstance(users, list):\n users = \", \".join(str(x) for x\ \ in users)\n desc = order.get(\"description\", \"\")\n t_start\ \ = parse_time(order.get(\"time_start\"))\n t_end = parse_time(order.get(\"\ time_end\"))\n device_type = device.split(\"_\")[0] if \"_\" in device\ \ else device\n\n logs = dev_logs.get(device, [])\n matched\ \ = []\n for log in logs:\n if not isinstance(log, dict):\n\ \ continue\n lt = parse_time(log.get(\"timestamp\"\ ))\n if t_start and t_end and lt and t_start <= lt <= t_end:\n\ \ matched.append(log)\n\n report += f\"\\n工单：{oid}\\\ n设备：{device}\\n受影响用户：{users}\\n用户问题：{desc}\\n问题日志：\\n\"\n for log\ \ in matched:\n msg = log.get(\"clean_message\") or log.get(\"\ message\") or \"\"\n sev = log.get(\"severity\", \"\")\n \ \ report += f\"- {msg}（级别：{sev}）\\n\"\n retrieve_list.append({\"\ device_type\": device_type, \"message\": msg})\n\n seen = set()\n \ \ dedup_list = []\n for r in retrieve_list:\n key = (r[\"device_type\"\ ], r[\"message\"])\n if key in seen:\n continue\n \ \ seen.add(key)\n dedup_list.append(r)\n\n return {\"retrieve_list\"\ : dedup_list, \"work_order_report\": report.strip()}" code_language: python3 outputs: retrieve_list: children: null type: array[object] work_order_report: children: null type: string selected: false title: 工单日志匹配 type: code variables: - value_selector: - '1788330733325' - device_error_list value_type: string variable: device_error_list - value_selector: - '1788332032668' - work_order_with_time value_type: string variable: work_order_with_time height: 52 id: '1788335817786' position: x: 1835.502423928929 y: 316.9997077529053 positionAbsolute: x: 1835.502423928929 y: 316.9997077529053 selected: false sourcePosition: right targetPosition: left type: custom width: 242 zIndex: 0 - data: error_handle_mode: terminated flatten_output: true height: 175.49640708269203 is_parallel: true iterator_input_type: array[object] iterator_selector: - '1788335817786' - retrieve_list output_selector: - '1788338632376' - text output_type: array[string] parallel_nums: 10 selected: false start_node_id: 1788337304285start title: 迭代 type: iteration width: 983.74101770673 height: 175 id: '1788337304285' position: x: 2192.200327872236 y: 510.3013178336039 positionAbsolute: x: 2192.200327872236 y: 510.3013178336039 selected: false sourcePosition: right targetPosition: left type: custom width: 984 zIndex: 0 - data: desc: '' isInIteration: true selected: false title: '' type: iteration-start draggable: false height: 48 id: 1788337304285start parentId: '1788337304285' position: x: 24 y: 68 positionAbsolute: x: 2216.200327872236 y: 578.3013178336039 selectable: false selected: false sourcePosition: right targetPosition: left type: custom-iteration-start width: 44 zIndex: 1001 - data: code: "def main(item: dict) -> dict:\n \"\"\"\n Dify 代码节点函数\n 输入变量：item（字典类型，需包含\ \ device_type 和 message 字段）\n 输出：{\"text\": \"device_type：值 message：值\"\ }\n \"\"\"\n # 提取字段，若缺失则设为空字符串\n device_type = item.get('device_type',\ \ '')\n message = item.get('message', '')\n\n # 拼接结果（使用中文冒号，中间有空格）\n\ \ result = f\"device_type：{device_type} message：{message}\"\n\n #\ \ 返回符合 Dify 输出格式的字典\n return {\"text\": result}" code_language: python3 isInIteration: true isInLoop: false iteration_id: '1788337304285' outputs: text: children: null type: string selected: false title: 转string type: code variables: - value_selector: - '1788337304285' - item value_type: object variable: item height: 52 id: '1788337339793' parentId: '1788337304285' position: x: 121.74101770672996 y: 65.49640708269203 positionAbsolute: x: 2313.941345578966 y: 575.7977249162959 selected: false sourcePosition: right targetPosition: left type: custom width: 242 zIndex: 1001 - data: dataset_ids: - /GMEapRfyENjwHGNJV49yPtVRvDLhxX/L5quJxFjREqwyjbAEA10PDTmCSTH4NQb isInIteration: true isInLoop: false iteration_id: '1788337304285' multiple_retrieval_config: reranking_enable: true reranking_mode: reranking_model reranking_model: model: netease-youdao/bce-reranker-base_v1 provider: langgenius/siliconflow/siliconflow top_k: 4 query_attachment_selector: [] query_variable_selector: - '1788337339793' - text retrieval_mode: multiple selected: false title: 知识检索 type: knowledge-retrieval height: 90 id: '1788338544990' parentId: '1788337304285' position: x: 423.74101770672996 y: 65.49640708269203 positionAbsolute: x: 2615.941345578966 y: 575.7977249162959 selected: false sourcePosition: right targetPosition: left type: custom width: 242 zIndex: 1001 - data: context: enabled: true variable_selector: - '1788338544990' - result isInIteration: true isInLoop: false iteration_id: '1788337304285' model: completion_params: {} mode: chat name: qwen3.6-plus provider: langgenius/tongyi/tongyi prompt_template: - id: b71b1ecb-8e71-42f3-bab6-153bb2dfa2c0 role: system text: '你是专业通信网络运维工程师。参考本次知识检索到的故障维护方案{{#context#}}，输出完整的内容，格式如下： 设备类型 日志类型 日志信息 日志含义 可能原因 处理步骤' selected: false title: 日志智能检索 type: llm vision: enabled: false height: 88 id: '1788338632376' parentId: '1788337304285' position: x: 725.74101770673 y: 65.49640708269203 positionAbsolute: x: 2917.941345578966 y: 575.7977249162959 selected: false sourcePosition: right targetPosition: left type: custom width: 242 zIndex: 1001 - data: context: enabled: true variable_selector: - '1788337304285' - output model: completion_params: {} mode: chat name: qwen3.6-plus provider: langgenius/tongyi/tongyi prompt_template: - id: 4c4f152c-de63-4645-a3ee-352ae8cab798 role: system text: '你是专业网络运维专家，结合下面的工单故障信息{{#1788335817786.work_order_report#}}和知识库维护方案{{#context#}}，生成标准的诊断报告。 诊断报告中的日志含义、可能原因、处理步骤应优先来自知识库检索结果。 不得完全脱离知识库自行编造维护结论。 报告中不得输出知识库 metadata、dataset_id、segment_id、score 等调试信息。 报告的格式： 智能故障诊断处置单 报告至少包含两部分： 1. 处置优先级 需以表格形式展示，字段包括： |优先级|工单编号|责任专业|处理时限|设备故障类型|影响对象|判断结论|当前动作|（markdown表格渲染） 2. 分工单处置 每张工单需单独输出，内容包括： •责任专业 •处理时限 •处置结论 •关键证据 •现场操作 •恢复验证 •升级条件 •需补充信息' selected: false title: 智能诊断 type: llm vision: enabled: false height: 88 id: '1788338943159' position: x: 3180.9052033489556 y: 39.82253318592847 positionAbsolute: x: 3180.9052033489556 y: 39.82253318592847 selected: false sourcePosition: right targetPosition: left type: custom width: 242 zIndex: 0 - data: outputs: - value_selector: - '1788338943159' - text value_type: string variable: T2 - value_selector: - '1791377555308' - files value_type: array[file] variable: F2 selected: false title: 输出 type: end height: 115 id: '1788339385458' position: x: 4190.3344264672105 y: -4.976932719416055 positionAbsolute: x: 4190.3344264672105 y: -4.976932719416055 selected: false sourcePosition: right targetPosition: left type: custom width: 242 zIndex: 0 - data: is_team_authorization: true paramSchemas: - auto_generate: null default: null form: llm human_description: en_US: Markdown text ja_JP: Markdown text pt_BR: Markdown text zh_Hans: Markdown格式文本 input_schema: null label: en_US: Markdown text ja_JP: Markdown text pt_BR: Markdown text zh_Hans: Markdown格式文本 llm_description: '' max: null min: null multiple: false name: md_text options: [] placeholder: null precision: null required: true scope: null template: null type: string - auto_generate: null default: null form: llm human_description: en_US: Optional custom output file name, and the filename suffix is not required. ja_JP: Optional custom output file name, and the filename suffix is not required. pt_BR: Optional custom output file name, and the filename suffix is not required. zh_Hans: 可选的自定义输出文件名，后缀名无需指定 input_schema: null label: en_US: Output Filename ja_JP: Output Filename pt_BR: Output Filename zh_Hans: 输出文件名 llm_description: '' max: null min: null multiple: false name: output_filename options: [] placeholder: null precision: null required: false scope: null template: null type: string params: md_text: '' output_filename: '' plugin_id: bowenliang123/md_exporter plugin_unique_identifier: bowenliang123/md_exporter:3.6.0@11b39de742c7f3d61db183ff8e938f08fc14b98549e4b5159551e82aa74f7b41 provider_icon: /console/api/workspaces/current/plugin/icon?tenant_id=84d3b678-df20-415b-960a-ccbe897e3e9d&filename=aa1c633e6a6a95b5b758343827dcabf9d288f19d7995b0d39878fbf54e924475.png provider_id: bowenliang123/md_exporter/md_exporter provider_name: bowenliang123/md_exporter/md_exporter provider_show_name: Markdown 转换器 provider_type: builtin selected: false title: Markdown ⮕ MD tool_configurations: {} tool_description: 将 Markdown 转换为 .md 文件的工具 tool_label: Markdown ⮕ MD tool_name: md_to_md tool_node_version: '2' tool_parameters: md_text: type: mixed value: '{{#1788338943159.text#}}' output_filename: type: mixed value: 张三_告警工单.md type: tool height: 52 id: '1791377555308' position: x: 3644.70029193049 y: -25.29105974863568 positionAbsolute: x: 3644.70029193049 y: -25.29105974863568 selected: false sourcePosition: right targetPosition: left type: custom width: 242 zIndex: 0 viewport: x: -1913.6709780834449 y: 354.36230707755755 zoom: 0.5357206724452673 rag_pipeline_variables: []