import json import threading import time import pandas import numpy import math import csv from PySide6.QtCore import Signal, QThread from common import clibs class DoBrakeTest(QThread): output = Signal(str, str) def __init__(self, dir_path, interval, proc, /): super().__init__() self.dir_path = dir_path self.interval = interval self.proc = proc self.idx = 6 def logger(self, level, module, content, color="black", error="", flag="both"): clibs.logger(level, module, content, color, flag, signal=self.output) if level.upper() == "ERROR": raise Exception(f"{error} | {content}") def initialization(self, data_dirs, data_files): def check_files(): if len(curves) == 0: self.logger("ERROR", "factory-check_files", "未查询到需要记录数据的曲线，至少选择一个！", "red", "CurveNameError") if len(data_dirs) != 0 or len(data_files) != 1: self.logger("ERROR", "factory-check_files", "初始路径下不允许有文件夹，且初始路径下只能存在一个工程文件 —— *.zip，确认后重新运行！", "red", "InitFileError") if not data_files[0].endswith(".zip"): self.logger("ERROR", "factory-check_files", f"{data_files[0]} 不是一个有效的工程文件，需确认！", "red", "ProjectFileError") return data_files[0], interval def get_configs(): robot_type, records = None, None msg_id, state = clibs.c_hr.execution("controller.get_params") records = clibs.c_hr.get_from_id(msg_id, state) for record in records: if "请求发送成功" not in record[0]: robot_type = eval(record[0])["data"]["robot_type"] server_file = f"/home/luoshi/bin/controller/robot_cfg/{robot_type}/{robot_type}.cfg" local_file = self.dir_path + f"/{robot_type}.cfg" clibs.c_pd.pull_file_from_server(server_file, local_file) try: with open(local_file, mode="r", encoding="utf-8") as f_config: configs = json.load(f_config) except Exception as Err: self.logger("ERROR", "factory-get_configs", f"无法打开 {local_file}
{Err}", "red", "OpenFileError") # 最大角速度，额定电流，减速比，额定转速 version = configs["VERSION"] m_avs = configs["MOTION"]["JOINT_MAX_SPEED"] m_rts = configs["MOTOR"]["RATED_TORQUE"] # 电机额定转矩rt for rated torque m_tcs = [1, 1, 1, 1, 1, 1] # 电机转矩常数，tc for torque constant m_rcs = [] for i in range(len(m_tcs)): m_rcs.append(m_rts[i] / m_tcs[i]) # 电机额定电流，rc for rated current clibs.insert_logdb("INFO", "do_brake", f"get_configs: 机型文件版本 {robot_type}_{version}") clibs.insert_logdb("INFO", "do_brake", f"get_configs: 各关节角速度 {m_avs}") clibs.insert_logdb("INFO", "do_brake", f"get_configs: 各关节额定电流 {m_rcs}") return m_avs, m_rcs prj_file, interval = check_files() avs, rcs = get_configs() params = { "prj_file": prj_file, "interval": interval, "avs": avs, "rcs": rcs, } self.logger("INFO", "factory-initialization", "数据目录合规性检查结束，未发现问题......", "green") return params @staticmethod def change_curve_state(curves, stat): display_pdo_params = [{"name": name, "channel": chl} for name in curves for chl in range(6)] clibs.c_hr.execution("diagnosis.open", open=stat, display_open=stat, overrun=True, turn_area=True, delay_motion=False) clibs.c_hr.execution("diagnosis.set_params", display_pdo_params=display_pdo_params, frequency=50, version="1.4.1") def run_rl(self, params, curves): prj_file, interval = params["prj_file"], params["interval"] # 1. 关闭诊断曲线，触发软急停，并解除，目的是让可能正在运行着的机器停下来，切手动模式并下电 self.change_curve_state(curves, False) clibs.c_md.r_soft_estop(0) clibs.c_md.r_soft_estop(1) clibs.c_md.r_clear_alarm() clibs.c_md.write_act(False) time.sleep(1) # 让曲线彻底关闭 # 2. reload工程后，pp2main，并且自动模式和上电 prj_name = ".".join(prj_file.split("/")[-1].split(".")[:-1]) prj_path = f"{prj_name}/_build/{prj_name}.prj" clibs.c_hr.execution("overview.reload", prj_path=prj_path, tasks=["factory"]) clibs.c_hr.execution("rl_task.pp_to_main", tasks=["factory"]) clibs.c_hr.execution("state.switch_auto") clibs.c_hr.execution("state.switch_motor_on") # 3. 开始运行程序 clibs.c_hr.execution("rl_task.set_run_params", loop_mode=True, override=1.0) clibs.c_hr.execution("rl_task.run", tasks=["factory"]) t_start = time.time() while True: if clibs.c_md.read_ready_to_go() == 1: clibs.c_md.write_act(True) break else: if (time.time() - t_start) > 15: self.logger("ERROR", "factory-run_rl", "15s 内未收到机器人的运行信号，需要确认RL程序编写正确并正常执行...", "red", "ReadySignalTimeoutError") else: time.sleep(1) # 4. 获取初始数据，周期时间，首次的各轴平均电流值，打开诊断曲线，并执行采集 time.sleep(10) # 等待 RL 程序中 scenario_time 初始化 t_start = time.time() while True: scenario_time = float(f"{float(clibs.c_md.read_scenario_time()):.2f}") if scenario_time != 0: self.logger("INFO", "factory-run_rl", f"耐久工程的周期时间：{scenario_time}s | 单轮次执行时间：{scenario_time+interval}~{scenario_time*2+interval}") break else: time.sleep(1) if (time.time() - t_start) > 900: self.logger("ERROR", "factory-run_rl", f"900s 内未收到耐久工程的周期时间，需要确认RL程序和工具通信交互是否正常执行...", "red", "GetScenarioTimeError") # 6. 准备数据保存文件 for curve in curves: with open(f"{self.dir_path}/{curve}.csv", mode="a+", newline="") as f_csv: titles = [f"{curve}_{i}" for i in range(6)] titles.insert(0, "time") csv_writer = csv.writer(f_csv) csv_writer.writerow(titles) # 7. 开始采集 count = 0 while clibs.running: this_time = time.strftime("%Y-%m-%d %H:%M:%S", time.localtime(time.time())) next_time_1 = time.strftime("%Y-%m-%d %H:%M:%S", time.localtime(time.time()+scenario_time+interval+1)) next_time_2 = time.strftime("%Y-%m-%d %H:%M:%S", time.localtime(time.time()+scenario_time+interval+1+scenario_time)) self.logger("INFO", "factory-run_rl", f"[{this_time}] 当前次数：{count:09d} | 预计下次数据更新时间：{next_time_1}~{next_time_2}", "#008B8B") count += 1 # 固定间隔，更新一次数据，打开曲线，获取周期内电流，关闭曲线 time.sleep(interval) while True: capture_start = clibs.c_md.read_capture_start() if capture_start == 1: break else: time.sleep(0.1) self.change_curve_state(curves, True) time.sleep(scenario_time) end_time = time.strftime("%Y-%m-%d %H:%M:%S", time.localtime(time.time())) start_time = time.strftime("%Y-%m-%d %H:%M:%S", time.localtime(time.time()-scenario_time)) self.change_curve_state(curves, False) # 保留数据并处理输出 self.gen_results(params, curves, start_time, end_time) else: self.change_curve_state(curves, False) self.logger("INFO", "factory", "后台数据清零完成，现在可以重新运行其他程序。", "green") def gen_results(self, params, curves, start_time, end_time): clibs.cursor.execute(f"select content from logs where time between '{start_time}' and '{end_time}' and content like '%diagnosis.result%' order by id asc") records = clibs.cursor.fetchall() self.data_proc(records, params, curves) def data_proc(self, records, params, curves): for curve in curves: if curve == "device_servo_trq_feedback": # proc_device_servo_trq_feedback(records, params, w2t) t = threading.Thread(target=self.proc_device_servo_trq_feedback, args=(records, params)) t.daemon = True t.start() elif curve == "hw_joint_vel_feedback": # proc_hw_joint_vel_feedback(records, params, w2t) t = threading.Thread(target=self.proc_hw_joint_vel_feedback, args=(records, params)) t.daemon = True t.start() def proc_device_servo_trq_feedback(self, records, params): d_trq, rcs, results = [[], [], [], [], [], []], params["rcs"], [time.strftime("%Y-%m-%d %H:%M:%S", time.localtime(time.time()))] for record in records: data = eval(record[0])["data"] for item in data: d_item = reversed(item["value"]) for axis in range(6): if item.get("channel", None) == axis and item.get("name", None) == "device_servo_trq_feedback": d_trq[axis].extend(d_item) for axis in range(6): df = pandas.DataFrame.from_dict({"device_servo_trq_feedback": d_trq[axis]}) _ = math.sqrt(numpy.square(df[df.columns[0]].values * 1.27 / 1000).sum() / len(df)) results.append(_) path = "/".join(params["prj_file"].split("/")[:-1]) with open(f"{path}/device_servo_trq_feedback.csv", mode="a+", newline="") as f_csv: csv_writer = csv.writer(f_csv) csv_writer.writerow(results) def proc_hw_joint_vel_feedback(self, records, params): d_trq, rcs, results = [[], [], [], [], [], []], params["rcs"], [time.strftime("%Y-%m-%d %H:%M:%S", time.localtime(time.time()))] for record in records: data = eval(record[0])["data"] for item in data: d_item = reversed(item["value"]) for axis in range(6): if item.get("channel", None) == axis and item.get("name", None) == "hw_joint_vel_feedback": d_trq[axis].extend(d_item) for axis in range(6): df = pandas.DataFrame.from_dict({"hw_joint_vel_feedback": d_trq[axis]}) _ = df.max().iloc[0] results.append(_) path = "/".join(params["prj_file"].split("/")[:-1]) with open(f"{path}/hw_joint_vel_feedback.csv", mode="a+", newline="") as f_csv: csv_writer = csv.writer(f_csv) csv_writer.writerow(results) def processing(self): time_start = time.time() clibs.running[self.idx] = 1 data_dirs, data_files = clibs.traversal_files(self.dir_path, self.output) params = self.initialization(data_dirs, data_files) prj_file = params["prj_file"] clibs.c_pd.push_prj_to_server(prj_file) self.run_rl(params) self.logger("INFO", "brake-processing", "-"*60 + "
全部处理完毕
", "purple") time_total = time.time() - time_start msg = f"处理时间：{time_total // 3600:02.0f} h {time_total % 3600 // 60:02.0f} m {time_total % 60:02.0f} s" self.logger("INFO", "brake-processing", msg)