import numpy as np from pandas import DataFrame def code_param_arm(sheet: DataFrame) -> str|None: """ 生成所需代码内容 """ result = "" result += "#include \n" result += "#include \n" result += "\n" object_list = [] serises_variable = sheet['变量名'].dropna() serises_name = sheet['协议结构名称'].dropna() serises_name[serises_variable.index[-1]+1] = 'endline' for index in range(serises_name.shape[0]-1): meta_object = {} meta_object['name'] = serises_name.iloc[index] meta_object['range'] = (serises_name.index[index], serises_name.index[index+1]-1) meta_object['member'] = sheet.loc[serises_name.index[index]: serises_name.index[index+1]-1] code_object = f"typedef struct tag_{meta_object['name']}" + "\n" code_object += "{" + "\n" list_codes = [] for id, item in meta_object['member'].iterrows(): if item['变量名'] is np.nan: continue code_veriable = f" uint16_t " code_veriable += f"a" if item['数据长度'] > 1 else "" code_veriable += f"{item['变量名']}" code_veriable += f"[{item['数据长度']}];" if item['数据长度'] > 1 else ";" code_comment = f"/*{item['地址']} {item['数据项名称']}*/" list_codes.append((index, code_veriable, code_comment)) code_len_max = max((len(line[1]) for line in list_codes)) + 2 code_len_max = code_len_max if code_len_max > 65 else 65 for id, line_prefix, line_suffix in list_codes: code_object += line_prefix + " " * (code_len_max - len(line_prefix)) + line_suffix + "\n" code_object += "}" + f"{meta_object['name']};" + "\n" result += code_object + "\n" return result