# -*- coding: utf-8 -*- """生成「全家桶 · 晨间自动化助手」流程 JSON。""" import json import os BASE = r"C:\Users\Administrator\Desktop\RPA整理测试" EXCEL = "C:/Users/Administrator/Desktop/淘宝手机比价.xlsx" OUT_XLSX = "C:/Users/Administrator/Desktop/低价手机清单.xlsx" SHOT = BASE + "\\整理完成截图.png" nodes = [] edges = [] def node(id, componentId, label, values, output_var=None, timeout=30000, parent=None, slot=None, pos=None, options_extra=None): options = {"timeoutMs": timeout} if output_var: options["outputVar"] = output_var if options_extra: options.update(options_extra) n = { "id": id, "componentId": componentId, "label": label, "values": values, "options": options, } if parent: n["parentId"] = parent n["slot"] = slot n["position"] = {"x": 18, "y": 0} else: n["position"] = pos nodes.append(n) return n def link(a, b): edges.append({"id": f"edge_{a}_{b}", "source": a, "target": b}) # ============ 主链 ============ node("node_start", "Trigger.Manual", "立即执行", {"entryName": "立即执行"}, pos={"x": 240, "y": 70}) # ---- 板块 A：文件整理 ---- node("node_scan", "File_GetFileList_V1", "扫描测试文件夹", { "folder_path": BASE, "key_word": "", "ignore": "", "recursive": "0", "is_full_path": "1", "sort_type": "1", }, output_var="dlFiles", pos={"x": 240, "y": 210}) node("node_mkdir_zip", "File_MakeDir", "建分类文件夹：压缩包", {"path": BASE + "\\压缩包", "name": "", "overwrite": "False"}, pos={"x": 240, "y": 340}) node("node_mkdir_img", "File_MakeDir", "建分类文件夹：图片", {"path": BASE + "\\图片", "name": "", "overwrite": "False"}, pos={"x": 240, "y": 460}) node("node_mkdir_doc", "File_MakeDir", "建分类文件夹：文档", {"path": BASE + "\\文档", "name": "", "overwrite": "False"}, pos={"x": 240, "y": 580}) node("node_mkdir_other", "File_MakeDir", "建分类文件夹：其他", {"path": BASE + "\\其他", "name": "", "overwrite": "False"}, pos={"x": 240, "y": 700}) node("node_loop", "logic_control_array_for_v3", "遍历文件逐个分类", { "array_name": "dlFiles", "reverse": "0", "start_index": "0", "end_index": "-1", }, pos={"x": 240, "y": 840}) # 循环体内：三层 IF 嵌套分类 node("node_if_zip", "logic_control_if_else", "是压缩包？", { "condition": '${contains(lower(item), ".zip") || contains(lower(item), ".rar") || contains(lower(item), ".7z")}', }, parent="node_loop", slot="array_for_fn") node("node_move_zip", "File_File_Move", "移入「压缩包」", { "file_type": "file", "file_path": "${item}", "target_path": BASE + "\\压缩包", "overwrite": "True", }, parent="node_if_zip", slot="statement_if") node("node_if_img", "logic_control_if_else", "是图片？", { "condition": '${contains(lower(item), ".png") || contains(lower(item), ".jpg") || contains(lower(item), ".jpeg") || contains(lower(item), ".gif") || contains(lower(item), ".bmp")}', }, parent="node_if_zip", slot="statement_else") node("node_move_img", "File_File_Move", "移入「图片」", { "file_type": "file", "file_path": "${item}", "target_path": BASE + "\\图片", "overwrite": "True", }, parent="node_if_img", slot="statement_if") node("node_if_doc", "logic_control_if_else", "是文档？", { "condition": '${contains(lower(item), ".doc") || contains(lower(item), ".pdf") || contains(lower(item), ".txt") || contains(lower(item), ".xlsx") || contains(lower(item), ".ppt")}', }, parent="node_if_img", slot="statement_else") node("node_move_doc", "File_File_Move", "移入「文档」", { "file_type": "file", "file_path": "${item}", "target_path": BASE + "\\文档", "overwrite": "True", }, parent="node_if_doc", slot="statement_if") node("node_move_other", "File_File_Move", "移入「其他」", { "file_type": "file", "file_path": "${item}", "target_path": BASE + "\\其他", "overwrite": "True", }, parent="node_if_doc", slot="statement_else") # ---- 板块 B：Excel 数据加工 ---- node("node_read_excel", "Bivartable_DoOpenExcel", "读取淘宝比价 Excel", { "filePath": EXCEL, "sheetName": "Sheet1", "indexx": "False", }, output_var="priceTable", pos={"x": 240, "y": 990}) node("node_sort", "Bivartable_SortDf", "按价格升序排序", { "df": "${priceTable}", "name": "价格", "sort": "True", "showTable": "0", }, output_var="sortedTable", pos={"x": 240, "y": 1110}) node("node_filter", "Bivartable_FilterDf", "筛选 3000 元以下", { "df": "${sortedTable}", "filter_mode": "ordinary", "col_name": "价格", "choice": "4", "criteria": "3000", "rule": '["价格"] <= 3000', "showTable": "0", }, output_var="filteredTable", pos={"x": 240, "y": 1230}) node("node_min", "Bivartable_GetMinValue", "算最低价", { "df": "${priceTable}", "groupby": "", "minvaluecols": "价格", }, output_var="minPrice", pos={"x": 240, "y": 1350}) node("node_max", "Bivartable_GetMaxValue", "算最高价", { "df": "${priceTable}", "groupby": "", "maxvaluecols": "价格", }, output_var="maxPrice", pos={"x": 240, "y": 1470}) node("node_avg", "Bivartable_GetAvgValue", "算平均价", { "df": "${priceTable}", "groupby": "", "avgvaluecols": "价格", }, output_var="avgPrice", pos={"x": 240, "y": 1590}) node("node_write_cheap", "Bivartable_DfWriteToFile", "保存低价清单 Excel", { "df": "${filteredTable}", "suffix": "xlsx", "filePath": OUT_XLSX, "folderPath": "C:/Users/Administrator/Desktop", "sheet": "Sheet1", }, pos={"x": 240, "y": 1710}) # ---- 板块 C：记事本键鼠 + 截图 ---- node("node_notepad_run", "App_Run", "启动记事本", { "executeable": "notepad.exe", "params": "", "cwd": "", "is_admin": "0", "create_new_console": "0", }, output_var="notepadPid", pos={"x": 240, "y": 1830}) node("node_delay_notepad", "Basic_Delay_V2", "等记事本就绪", { "is_random": "0", "second": "1", "min_second": "1", "max_second": "5", }, pos={"x": 240, "y": 1950}) summary_expr = ( '${"RPA 晨间助手报告 " + today() + "：已整理测试文件 " + len(dlFiles) + " 个；' '比价表筛出 3000 元以下手机 " + (len(filteredTable) - 1) + " 款；' '最低 " + minPrice + " 元，最高 " + maxPrice + " 元，平均 " + round(avgPrice, 1) + " 元。"}' ) node("node_notepad_type", "Keyboard_Send_V1", "记事本输入摘要（键盘模拟）", { "words": summary_expr, "interval": "10", "fuctype": "0", "window_title": "记事本", }, pos={"x": 240, "y": 2070}) node("node_shot", "Image_Screenshot", "截屏留证", { "pictureSource": "1", "shotRange": "1", "image_path": SHOT, "position": "", "outImageName": "", }, pos={"x": 240, "y": 2190}) node("node_notepad_kill", "App_Kill", "关闭记事本", { "pid": "${notepadPid}", }, pos={"x": 240, "y": 2310}) # ---- 板块 D：OCR + AI + 收尾 ---- node("node_ocr", "OcrOffline_GetOcrTextNew", "OCR 识别截图", { "image_path": SHOT, }, output_var="ocrText", timeout=120000, pos={"x": 240, "y": 2430}) ai_prompt = ( "这是一次 RPA 自动化的收尾总结。屏幕 OCR 识别到的内容：${ocrText}。" "数据统计：整理测试文件 ${len(dlFiles)} 个；低价手机 ${len(filteredTable) - 1} 款；" "最低价 ${minPrice} 元、最高价 ${maxPrice} 元、平均 ${round(avgPrice, 1)} 元。" "请用中文生成一段 100 字左右的晨间摘要，说明本次自动化完成了哪些事、结果如何，语气轻松一点。" ) node("node_ai", "DataService_LargeModel", "AI 生成晨间摘要", { "hint_word": ai_prompt, }, output_var="aiSummary", timeout=200000, pos={"x": 240, "y": 2550}) node("node_clipboard", "Clipboard_SetText", "摘要复制到剪贴板", { "text": "${aiSummary}", }, pos={"x": 240, "y": 2670}) node("node_notice", "Dialog_Notice_V2", "弹窗通知完成", { "text": "晨间摘要已生成并复制到剪贴板：${aiSummary}", "title": "RPA 晨间助手", "time_out": "20", }, timeout=60000, pos={"x": 240, "y": 2790}) # ---- 主链连线 ---- main_chain = [ "node_start", "node_scan", "node_mkdir_zip", "node_mkdir_img", "node_mkdir_doc", "node_mkdir_other", "node_loop", "node_read_excel", "node_sort", "node_filter", "node_min", "node_max", "node_avg", "node_write_cheap", "node_notepad_run", "node_delay_notepad", "node_notepad_type", "node_shot", "node_notepad_kill", "node_ocr", "node_ai", "node_clipboard", "node_notice", ] for a, b in zip(main_chain, main_chain[1:]): link(a, b) flow = { "schemaVersion": 1, "id": "flow_morning_assistant", "name": "全家桶 · 晨间自动化助手", "description": "测试长流程：文件整理(IF分支+遍历+文件操作) → Excel数据加工(读取/排序/筛选/统计/落盘) → 记事本键鼠模拟+截屏 → OCR识别+AI摘要+剪贴板+弹窗通知。", "enabled": True, "trigger": {"label": "手动运行", "type": "manual"}, "variables": [], "nodes": nodes, "edges": edges, "meta": { "createdAt": "2026-11-05T07:25:00.000Z", "updatedAt": "2026-11-05T07:25:00.000Z", "appVersion": "0.1.0", }, } out = os.path.join(os.environ["APPDATA"], "rpa-studio", "flows", "flow_morning_assistant.json") with open(out, "w", encoding="utf-8") as f: json.dump(flow, f, ensure_ascii=False, indent=2) print("written:", out, "| nodes:", len(nodes), "| edges:", len(edges))