自动化测试电机电流功能迁移完成

This commit is contained in:
2025-01-16 09:38:46 +08:00
parent 855448664c
commit 2413d6d305
40 changed files with 870678 additions and 135 deletions

View File

@ -27,7 +27,7 @@ class App:
self.__set_root()
# ========================================================================
self.style = ttk.Style()
self.style.configure("tv.Treeview", font=self.f_treeview, rowheight=30)
self.style.configure("tv.Treeview", font=self.f_treeview, rowheight=25)
self.style.configure("Treeview.Heading", font=self.f_normal, rowheight=30)
self.entry_path_dpv = ctk.StringVar()
self.entry_path_dpv.set("数据文件夹路径")
@ -82,8 +82,7 @@ class App:
self.label_path_at = ctk.CTkLabel(self.tabview_top.tab("自动测试"), width=50, anchor="e", text="Path", font=self.f_common)
self.entry_path_at = ctk.CTkEntry(self.tabview_top.tab("自动测试"), width=80, state="disabled", textvariable=self.entry_path_atv, font=self.f_entry, text_color="#818181")
self.frame_top = ctk.CTkFrame(self.tabview_top.tab("自动测试"), width=120, height=10, fg_color="#E9E9E9")
self.btn_robot_state = ctk.CTkButton(self.frame_top, width=100, text="机器信息", font=self.f_segbtn, fg_color="#979DA2", corner_radius=0, command=self.__robot_info)
self.btn_robot_init = ctk.CTkButton(self.frame_top, width=100, text="初始操作", font=self.f_segbtn, fg_color="#979DA2", corner_radius=0, command=self.__robot_init)
self.btn_robot_info = ctk.CTkButton(self.frame_top, width=100, text="机器信息", font=self.f_segbtn, fg_color="#979DA2", corner_radius=0, command=self.__robot_info)
self.btn_trig_estop = ctk.CTkButton(self.frame_top, width=100, text="触发急停", font=self.f_segbtn, fg_color="#979DA2", corner_radius=0, command=self.__trig_estop)
self.btn_reset_estop = ctk.CTkButton(self.frame_top, width=100, text="恢复急停", font=self.f_segbtn, fg_color="#979DA2", corner_radius=0, command=self.__reset_estop)
self.popupmenu_ip = tk.Menu(self.entry_ip_at, tearoff=False)
@ -139,27 +138,113 @@ class App:
...
def __detect_network(self):
def func_access(state):
self.btn_robot_info.configure(state=state)
self.btn_trig_estop.configure(state=state)
self.btn_reset_estop.configure(state=state)
while True:
try:
if clibs.c_hr.status:
self.btn_conn.configure(fg_color="#2E8B57")
func_access("normal")
else:
self.btn_conn.configure(fg_color="#979DA2")
except Exception as Err:
func_access("disabled")
except Exception:
self.btn_conn.configure(fg_color="#979DA2")
func_access("disabled")
time.sleep(3)
def __robot_info(self):
...
def get_robot_info():
self.tabview_bottom.set("输出")
self.text_output.delete("1.0", "end")
self.__w2t("正在获取机器信息,请稍后...\n\n")
infos = {0: {}, 1: {}, 2: {}, 3: {}, 4: {}, 5: {}, 6: {}, 7: {}, 8: {}, 9: {}, 10: {}, 11: {}, 12: {}, 13: {}, 14: {}, 15: {}, 16: {}, 17: {}, 18: {}, 19: {}, 20: {}}
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]:
data, activate = eval(record[0])["data"], []
infos[0]["robot_type"] = data["robot_type"]
infos[1]["controller_type"] = data["controller_type"]
infos[2]["disk_serial_number"] = data["disk_serial_number"]
infos[3]["mac_addr"] = data["mac_addr"]
infos[4]["security_type"] = data["security_type"]
infos[5]["xcore_version"] = data["version"]
auth_states = data["auth_state"]["function"]
for auth_state in auth_states:
if auth_state["auth"] == "activate":
activate.append(auth_state["name"])
infos[6]["activated"] = ", ".join(activate)
def __robot_init(self):
...
msg_id, state = clibs.c_hr.execution("device.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]:
data = eval(record[0])["data"]["devices"]
for item in data:
if item["type"] == 2:
infos[7]["security_version"] = item["version"]
elif item["type"] == 4:
infos[8]["communication_version"] = item["version"]
elif item["type"] == 6:
infos[9]["motion_control_version"] = item["version"]
elif item["type"] == 9:
infos[10]["end_firmware_version"] = item["version"]
elif item["type"] == 10:
infos[11]["robot_cfg_version"] = item["version"]
elif item["type"] == 11:
infos[12]["env_package_version"] = item["version"]
msg_id, state = clibs.c_hr.execution("state.get_state")
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]:
data = eval(record[0])["data"]
infos[13]["rc_state"] = data["rc_state"]
infos[14]["engine"] = data["engine"]
infos[15]["servo_mode"] = data["servo_mode"]
infos[16]["operate"] = data["operate"]
infos[17]["task_space"] = data["task_space"]
infos[18]["robot_action"] = data["robot_action"]
infos[19]["safety_mode"] = data["safety_mode"]
msg_id, state = clibs.c_hr.execution("state.get_tp_mode")
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]:
data = eval(record[0])["data"]
infos[20]["tp_mode"] = data["tp_mode"]
for idx in sorted(infos.keys()):
for k, v in infos[idx].items():
self.__w2t(f"{k}: {v}\n")
t = threading.Thread(target=get_robot_info)
t.daemon = True
t.start()
def __trig_estop(self):
...
def trig_estop():
self.tabview_bottom.set("输出")
self.text_output.delete("1.0", "end")
self.__w2t("触发软急停信号已发送...\n")
clibs.c_md.r_soft_estop(0)
t = threading.Thread(target=trig_estop)
t.daemon = True
t.start()
def __reset_estop(self):
...
def reset_estop():
self.tabview_bottom.set("输出")
self.text_output.delete("1.0", "end")
self.__w2t("解除软急停信号已发送...\n")
clibs.c_md.r_soft_estop(1)
clibs.c_md.r_clear_alarm()
t = threading.Thread(target=reset_estop)
t.daemon = True
t.start()
def __thread_it(self, func, *args):
""" 将函数打包进线程,必须使用 lambda """
@ -894,6 +979,10 @@ class App:
clibs.c_md = openapi.ModbusRequest(clibs.ip_addr, clibs.modbus_port)
clibs.c_hr = openapi.HmiRequest(clibs.ip_addr, clibs.socket_port, clibs.xService_port)
clibs.c_pd = openapi.PreDos(clibs.ip_addr, clibs.ssh_port, clibs.username, clibs.password)
# clibs.c_md.read_scenario_time()
# clibs.c_hr.execution('state.set_tp_mode', tp_mode='without')
# clibs.c_hr.execution("diagnosis.open", open=False, display_open=False, overrun=True, turn_area=True, delay_motion=False)
# clibs.c_hr.execution("diagnosis.set_params", display_pdo_params=[], frequency=50, version="1.4.1")
self.btn_conn.configure(state="normal", fg_color="#2E8B57")
except Exception:
self.btn_conn.configure(state="normal", fg_color="#979DA2")
@ -960,10 +1049,9 @@ class App:
self.label_path_at.grid(row=1, column=1, padx=(0, 10), pady=(0, 10), sticky="e")
self.entry_path_at.grid(row=1, column=2, columnspan=3, padx=(0, 10), pady=(0, 10), sticky="we")
self.frame_top.grid(row=2, column=0, columnspan=5, padx=0, pady=0, sticky="we")
self.btn_robot_state.grid(row=0, column=0, padx=10, pady=0)
self.btn_robot_init.grid(row=0, column=1, padx=(0, 10), pady=0)
self.btn_trig_estop.grid(row=0, column=2, padx=(0, 10), pady=0)
self.btn_reset_estop.grid(row=0, column=3, padx=(0, 10), pady=0)
self.btn_robot_info.grid(row=0, column=0, padx=10, pady=0)
self.btn_trig_estop.grid(row=0, column=1, padx=(0, 10), pady=0)
self.btn_reset_estop.grid(row=0, column=2, padx=(0, 10), pady=0)
# self.progressbar_at.start()
# self.progressbar_at.configure(progress_color="red", fg_color="gray")

View File

@ -1,8 +1,8 @@
from time import sleep, time, strftime, localtime
from os import mkdir
from paramiko import SSHClient, AutoAddPolicy
from openpyxl import load_workbook
from pandas import DataFrame, concat
import time
import os
import paramiko
import openpyxl
import pandas
import json
from commons import clibs
@ -13,7 +13,7 @@ def initialization(path, sub, data_dirs, data_files, hr, w2t):
w2t("初始路径下不允许有文件夹,且初始路径下只能存在如下五个文件,确认后重新运行!", "red")
w2t("1. configs.xlsx\n2. reach33/reach66/reach100_xxxx.xlsx\n3. xxxx.zip\n", "red", "InitFileError")
config_file, reach33, reach66, reach100, prj_file = None, None, None, None, None
config_file, reach33, reach66, reach100, prj_file, result_dirs = None, None, None, None, None, []
for data_file in data_files:
filename = data_file.split("/")[-1]
if filename == "configs.xlsx":
@ -31,20 +31,19 @@ def initialization(path, sub, data_dirs, data_files, hr, w2t):
w2t("1. configs.xlsx\n2. reach33/reach66/reach100_xxxx.xlsx\n3. xxxx.zip\n", "red", "InitFileError")
if config_file and reach33 and reach66 and reach100 and prj_file:
result_dirs = []
mkdir(f"{path}/j1")
mkdir(f"{path}/j2")
mkdir(f"{path}/j3")
os.mkdir(f"{path}/j1")
os.mkdir(f"{path}/j2")
os.mkdir(f"{path}/j3")
load = f"load{sub.removeprefix("tool")}"
for reach in ["reach33", "reach66", "reach100"]:
for speed in ["speed33", "speed66", "speed100"]:
dir_name = "_".join([reach, load, speed])
result_dirs.append(dir_name)
mkdir(f"{path}/j1/{dir_name}")
mkdir(f"{path}/j2/{dir_name}")
os.mkdir(f"{path}/j1/{dir_name}")
os.mkdir(f"{path}/j2/{dir_name}")
if reach == "reach100":
mkdir(f"{path}/j3/{dir_name}")
os.mkdir(f"{path}/j3/{dir_name}")
w2t("数据目录合规性检查结束,未发现问题......\n", "blue")
return config_file, reach33, reach66, reach100, prj_file, result_dirs
@ -77,10 +76,10 @@ def initialization(path, sub, data_dirs, data_files, hr, w2t):
clibs.insert_logdb("INFO", "do_brake", f"get_configs: 各关节角速度 {avs}")
return avs
config_file, reach33, reach66, reach100, prj_file, result_dirs = check_files()
avs = get_configs()
_config_file, _reach33, _reach66, _reach100, _prj_file, _result_dirs = check_files()
_avs = get_configs()
return config_file, reach33, reach66, reach100, prj_file, result_dirs, avs
return _config_file, _reach33, _reach66, _reach100, _prj_file, _result_dirs, _avs
@clibs.db_lock
@ -101,10 +100,10 @@ def gen_result_file(path, axis, reach, load, speed, rounds):
elif item.get("channel", None) == 0 and item.get("name", None) == "device_safety_estop":
d_stop.extend(item["value"])
df1 = DataFrame.from_dict({"hw_joint_vel_feedback": d_vel})
df2 = DataFrame.from_dict({"device_servo_trq_feedback": d_trq})
df3 = DataFrame.from_dict({"device_safety_estop": d_stop})
df = concat([df1, df2, df3], axis=1)
df1 = pandas.DataFrame.from_dict({"hw_joint_vel_feedback": d_vel})
df2 = pandas.DataFrame.from_dict({"device_servo_trq_feedback": d_trq})
df3 = pandas.DataFrame.from_dict({"device_safety_estop": d_stop})
df = pandas.concat([df1, df2, df3], axis=1)
filename = f"{path}\\j{axis}\\reach{reach}_load{load}_speed{speed}\\reach{reach}_load{load}_speed{speed}_{rounds}.data"
df.to_csv(filename, sep="\t", index=False)
@ -114,7 +113,7 @@ def run_rl(path, sub, hr, md, config_file, prj_file, result_dirs, avs, w2t):
prj_name = prj_file.split("/")[-1].split(".")[0]
display_pdo_params = [{"name": name, "channel": chl} for name in ["hw_joint_vel_feedback", "device_servo_trq_feedback"] for chl in range(6)]
display_pdo_params.append({"name": "device_safety_estop", "channel": 0})
wb = load_workbook(config_file, read_only=True)
wb = openpyxl.load_workbook(config_file, read_only=True)
ws = wb["Target"]
write_diagnosis = float(ws.cell(row=2, column=2).value)
get_init_speed = float(ws.cell(row=3, column=2).value)
@ -150,11 +149,10 @@ def run_rl(path, sub, hr, md, config_file, prj_file, result_dirs, avs, w2t):
continue
md.write_axis(axis)
speed_max = 0
w2t(f"-"*90+"\n", "purple")
for rounds in range(1, 4):
count += 1
this_time = strftime("%Y-%m-%d %H:%M:%S", localtime(time()))
this_time = time.strftime("%Y-%m-%d %H:%M:%S", time.localtime(time.time()))
prj_path = f"{prj_name}/_build/{prj_name}.prj"
w2t(f"[{this_time} | {count}/{total}] 正在执行 {axis}{condition} 的第 {count} 次制动测试...\n")
@ -163,13 +161,13 @@ def run_rl(path, sub, hr, md, config_file, prj_file, result_dirs, avs, w2t):
md.reset_estop()
md.clear_alarm()
md.write_act(0)
sleep(write_diagnosis) # 软急停超差后等待写诊断时间可通过configs.xlsx配置
time.sleep(write_diagnosis) # 软急停超差后等待写诊断时间可通过configs.xlsx配置
while count == 1:
# 2. 修改要执行的场景
rl_cmd = ""
ssh = SSHClient()
ssh.set_missing_host_key_policy(AutoAddPolicy())
ssh = paramiko.SSHClient()
ssh.set_missing_host_key_policy(paramiko.AutoAddPolicy())
ssh.connect(hostname=clibs.ip_addr, port=clibs.ssh_port, username=clibs.username, password=clibs.password)
if pon == "positive":
rl_cmd = f"brake_E(j{axis}_{reach}_p, j{axis}_{reach}_n, p_speed, p_tool)"
@ -196,23 +194,23 @@ def run_rl(path, sub, hr, md, config_file, prj_file, result_dirs, avs, w2t):
hr.execution("state.switch_motor_on")
hr.execution("rl_task.set_run_params", loop_mode=True, override=1.0)
hr.execution("rl_task.run", tasks=["brake", "stop0_related"])
t_start = time()
t_start = time.time()
while True:
if md.read_ready_to_go() == 1:
md.write_act(True)
break
else:
sleep(1)
if (time() - t_start) // 20 > 1:
time.sleep(1)
if (time.time() - t_start) // 20 > 1:
w2t("20s 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")
# 4. 找出最大速度传递给RL程序最后清除相关记录
sleep(get_init_speed) # 指定时间后获取实际【正|负】方向的最大速度可通过configs.xlsx配置
time.sleep(get_init_speed) # 指定时间后获取实际【正|负】方向的最大速度可通过configs.xlsx配置
clibs.execution("rl_task.stop", tasks=["brake"])
# 找出最大速度
@clibs.db_lock
def get_speed_max(axis, pon):
speed_max = 0
def get_speed_max():
_speed_max = 0
len_records = int(get_init_speed * 20) + 1 # 1000 / 50 = 20
clibs.cursor.execute(f"select content from logs where content like 'diagnosis.result' limit {len_records}")
records = clibs.cursor.fetchall()
@ -222,12 +220,12 @@ def run_rl(path, sub, hr, md, config_file, prj_file, result_dirs, avs, w2t):
if item.get("channel", None) == axis-1 and item.get("name", None) == "hw_joint_vel_feedback":
_ = clibs.RADIAN * sum(item["value"]) / len(item["value"])
if pon == "positive":
speed_max = max(_, speed_max)
_speed_max = max(_, _speed_max)
elif pon == "negative":
speed_max = min(_, speed_max)
return speed_max
_speed_max = min(_, _speed_max)
return _speed_max
speed_max = abs(get_speed_max(axis, pon))
speed_max = abs(get_speed_max())
speed_target = avs[axis-1] * float(speed) / 100
clibs.insert_logdb("INFO", "do_brake", f"axis = {axis}, direction = {pon}, max speed = {speed_max}")
if speed_max < speed_target*0.95 or speed_max > speed_target*1.05:
@ -255,21 +253,21 @@ def run_rl(path, sub, hr, md, config_file, prj_file, result_dirs, avs, w2t):
md.write_act(1)
break
else:
sleep(1)
time.sleep(1)
else:
w2t("3s 内未收到机器人的运行信号,需要确认 RL 程序配置正确并正常执行...", "red", "ReadySignalTimeoutError")
sleep(10) # 排除从其他位姿到零点位姿,再到轴极限位姿的时间
time.sleep(10) # 排除从其他位姿到零点位姿,再到轴极限位姿的时间
md.write_probe(1)
t_start = time()
t_start = time.time()
while True:
if md.read_brake_done() == 1:
sleep(4) # 保证速度归零
time.sleep(4) # 保证速度归零
md.write_probe(0)
break
else:
sleep(1)
if (time() - t_start) > 30:
time.sleep(1)
if (time.time() - t_start) > 30:
md.write_probe(0)
w2t(f"30s 内未触发急停,该条数据无效,需要确认 RL/Python 程序配置正确并正常执行,或者判别是否是机器本体问题,比如正负方向速度是否一致...", "red", "NoEstopTriggeredError")
@ -288,14 +286,13 @@ def main():
w2t = clibs.w2t
hr = clibs.c_hr
md = clibs.c_md
insert_logdb = clibs.insert_logdb
s_time = time()
s_time = time.time()
data_dirs, data_files = clibs.traversal_files(path, w2t)
config_file, reach33, reach66, reach100, prj_file, result_dirs, avs = initialization(path, sub, data_dirs, data_files, hr, w2t)
clibs.c_pd.push_prj_to_server(prj_file)
run_rl(path, sub, hr, md, config_file, prj_file, result_dirs, avs, w2t)
e_time = time()
e_time = time.time()
time_total = e_time - s_time
w2t(f"处理总时长:{time_total // 3600:02.0f} h {time_total % 3600 // 60:02.0f} m {time_total % 60:02.0f} s", "green")

View File

@ -1,4 +1,5 @@
import os
import multiprocessing
import time
import paramiko
import pandas
@ -7,9 +8,10 @@ from common import clibs
def initialization(path, sub, data_dirs, data_files, hr, w2t):
def check_files():
msg = "初始路径下不允许有文件夹,且初始路径下只能存在如下两个文件,确认后重新运行!\n"
msg += "1. T_电机电流.xlsx\n2. xxxx.zip\n"
if len(data_dirs) != 0 or len(data_files) != 2:
w2t("初始路径下不允许有文件夹,且初始路径下只能存在如下两个文件,确认后重新运行!\n", "red")
w2t("1. T_电机电流.xlsx\n2. xxxx.zip\n", "red", "ConfigFileError")
w2t(msg, "red", "InitFileError")
prj_file, count = None, 0
for data_file in data_files:
@ -20,12 +22,11 @@ def initialization(path, sub, data_dirs, data_files, hr, w2t):
count += 1
prj_file = data_file
else:
w2t(f"{data_file} 不合规:初始路径下只能存在如下两个文件,确认后重新运行!\n", "red")
w2t("1. T_电机电流.xlsx\n2. xxxx.zip\n", "red", "ConfigFileError")
w2t(msg, "red", "InitFileError")
if count != 2:
w2t("初始路径下不允许有文件夹,且初始路径下只能存在如下两个文件,确认后重新运行!\n", "red")
w2t("1. T_电机电流.xlsx\n2. xxxx.zip\n", "red", "ConfigFileError")
w2t(msg, "red", "InitFileError")
w2t("数据目录合规性检查结束,未发现问题......\n")
if sub == "tool100" or sub == "inertia":
os.mkdir(f"{path}/single")
@ -50,10 +51,10 @@ def initialization(path, sub, data_dirs, data_files, hr, w2t):
local_file = path + f"/{robot_type}.cfg"
clibs.c_pd.pull_file_from_server(server_file, local_file)
prj_file = check_files()
_prj_file = check_files()
get_configs()
return prj_file
return _prj_file
def single_axis_proc(path, records, number):
@ -61,58 +62,63 @@ def single_axis_proc(path, records, number):
number = number if number < 6 else number - 6
d_vel, d_trq, d_sensor = [], [], []
for record in records:
print(f"record = {record}")
data = eval(record)["data"]
data = eval(record[0])["data"]
for item in data:
d_item = reversed(item["value"])
if item.get("channel", None) == number and item.get("name", None) == "hw_joint_vel_feedback":
d_vel.extend(item["value"])
d_vel.extend(d_item)
elif item.get("channel", None) == number and item.get("name", None) == "device_servo_trq_feedback":
d_trq.extend(item["value"])
d_trq.extend(d_item)
elif item.get("channel", None) == number and item.get("name", None) == "hw_sensor_trq_feedback":
d_sensor.extend(item["value"])
d_sensor.extend(d_item)
df1 = pandas.DataFrame.from_dict({"hw_joint_vel_feedback": d_vel})
df2 = pandas.DataFrame.from_dict({"device_servo_trq_feedback": d_trq})
df3 = pandas.DataFrame.from_dict({"hw_sensor_trq_feedback": d_sensor})
df = pandas.concat([df1, df2, df3], axis=1)
filename = f"{path}/single/j{number + 1}_{text}_{time.time()}.data"
df.to_csv(filename, sep="\t", index=False)
def scenario_proc(path, records, number, scenario_time):
for axis in range(6):
d_vel, d_trq, d_sensor = [], [], []
for record in records:
data = eval(record[0])["data"]
for item in data:
d_item = reversed(item["value"])
if item.get("channel", None) == axis and item.get("name", None) == "hw_joint_vel_feedback":
d_vel.extend(d_item)
elif item.get("channel", None) == axis and item.get("name", None) == "device_servo_trq_feedback":
d_trq.extend(d_item)
elif item.get("channel", None) == axis and item.get("name", None) == "hw_sensor_trq_feedback":
d_sensor.extend(d_item)
df1 = pandas.DataFrame.from_dict({"hw_joint_vel_feedback": d_vel})
df2 = pandas.DataFrame.from_dict({"device_servo_trq_feedback": d_trq})
df3 = pandas.DataFrame.from_dict({"hw_sensor_trq_feedback": d_sensor})
df = pandas.concat([df1, df2, df3], axis=1)
filename = f"{path}/single/j{number + 1}_{text}_{time.time()}.data"
filename = f"{path}/s_{number-11}/j{axis+1}_s_{number-11}_{scenario_time}_{time.time()}.data"
df.to_csv(filename, sep="\t", index=False)
def scenario_proc(path, records, number, scenario_time):
d_vel, d_trq, d_sensor = [], [], []
for record in records:
print(f"record = {record}")
data = eval(record)["data"]
for axis in range(6):
for item in data:
if item.get("channel", None) == axis and item.get("name", None) == "hw_joint_vel_feedback":
d_vel.extend(item["value"])
elif item.get("channel", None) == axis and item.get("name", None) == "device_servo_trq_feedback":
d_trq.extend(item["value"])
elif item.get("channel", None) == axis and item.get("name", None) == "hw_sensor_trq_feedback":
d_sensor.extend(item["value"])
def gen_result_file(path, number, start_time, end_time, scenario_time):
@clibs.db_lock
def get_records(s_time, e_time):
clibs.cursor.execute(f"select content from logs where time between '{s_time}' and '{e_time}' and content like '%diagnosis.result%' order by id asc")
_ = clibs.cursor.fetchall()
return _
df1 = pandas.DataFrame.from_dict({"hw_joint_vel_feedback": d_vel})
df2 = pandas.DataFrame.from_dict({"device_servo_trq_feedback": d_trq})
df3 = pandas.DataFrame.from_dict({"hw_sensor_trq_feedback": d_sensor})
df = pandas.concat([df1, df2, df3], axis=1)
filename = f"{path}/s_{number-11}/j{axis}_s_{number-11}_{scenario_time}_{time.time()}.data"
df.to_csv(filename, sep="\t", index=False)
@clibs.db_lock
def gen_result_file(path, number, scenario_time):
if number < 12: # 35s/15s == 700/300
len_records = 700 if number < 6 else 300
clibs.cursor.execute(f"select content from logs where content like 'diagnosis.result' limit {len_records}")
records = clibs.cursor.fetchall()
single_axis_proc(path, records, number)
elif number < 15: # scenario time
len_records = int(scenario_time * 20) + 1
clibs.cursor.execute(f"select content from logs where content like 'diagnosis.result' limit {len_records}")
records = clibs.cursor.fetchall()
scenario_proc(path, records, number, scenario_time)
if number < 12:
records = get_records(start_time, end_time)
p = multiprocessing.Process(target=single_axis_proc, args=(path, records, number))
p.daemon = True
p.start()
elif number < 15:
records = get_records(start_time, end_time)
p = multiprocessing.Process(target=scenario_proc, args=(path, records, number, scenario_time))
p.daemon = True
p.start()
def run_rl(path, prj_file, hr, md, sub, w2t):
@ -151,8 +157,9 @@ def run_rl(path, prj_file, hr, md, sub, w2t):
# 打开诊断曲线,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
hr.execution("diagnosis.open", open=True, display_open=True, overrun=True, turn_area=True, delay_motion=False)
hr.execution("diagnosis.set_params", display_pdo_params=display_pdo_params, frequency=50, version="1.4.1")
md.trigger_estop()
md.reset_estop()
md.r_soft_estop(0)
md.r_soft_estop(1)
md.r_clear_alarm()
for condition in conditions:
number = conditions.index(condition)
@ -178,7 +185,7 @@ def run_rl(path, prj_file, hr, md, sub, w2t):
hr.execution("state.switch_auto")
hr.execution("state.switch_motor_on")
# 3. 开始运行程序单轴运行35s
# 3. 开始运行程序
hr.execution("rl_task.set_run_params", loop_mode=True, override=1.0)
hr.execution("rl_task.run", tasks=["current"])
t_start = time.time()
@ -188,34 +195,35 @@ def run_rl(path, prj_file, hr, md, sub, w2t):
break
else:
time.sleep(1)
if (time.time() - t_start) // 20 > 1:
w2t("20s 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")
if (time.time() - t_start) > 20:
w2t("20s 内未收到机器人的运行信号需要确认RL程序和工具通信是否正常执行...", "red", "ReadySignalTimeoutError")
# 4. 打开诊断曲线,并执行采集
time.sleep(10) # 保证程序已经运行起来,其实主要是为了保持电流的采集而设定
scenario_time = 0
# 4. 执行采集
time.sleep(10) # 消除前 10s 的不稳定数据
start_time = time.strftime("%Y-%m-%d %H:%M:%S", time.localtime(time.time()))
single_time, stall_time, scenario_time = 30, 10, 0
if number < 6: # 单轴
time.sleep(35)
time.sleep(single_time)
elif number < 12: # 堵转
time.sleep(15)
time.sleep(stall_time)
else: # 场景
t_start = time.time()
while True:
scenario_time = md.read_scenario_time()
if float(scenario_time) > 1:
w2t(f"场景{number-5}的周期时间:{scenario_time}\n")
scenario_time = float(f"{float(md.read_scenario_time()):.2f}")
if float(scenario_time) != 0:
w2t(f"场景{number - 11}的周期时间:{scenario_time}\n")
break
else:
time.sleep(5)
if (time.time()-t_start)//60 > 3:
w2t(f"未收到场景{number-5}的周期时间需要确认RL程序编写正确并正常执行...\n", "red", "GetScenarioTimeError")
time.sleep(1) # 一定要延迟一秒再读一次scenario time寄存器因为一开始读取的数值不准确
scenario_time = md.read_scenario_time()
time.sleep(float(scenario_time)*0.2) # 再运行周期的20%即可
time.sleep(1)
if (time.time()-t_start) > 180:
w2t(f"180s 内未收到场景{number - 11}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...\n", "red", "GetScenarioTimeError")
time.sleep(20)
# 5.停止程序运行,保留数据并处理输出
clibs.execution("rl_task.stop", tasks=["current"])
gen_result_file(path, number, scenario_time)
end_time = time.strftime("%Y-%m-%d %H:%M:%S", time.localtime(time.time()))
hr.execution("rl_task.stop", tasks=["current"])
time.sleep(5) # 确保数据都拿到
gen_result_file(path, number, start_time, end_time, scenario_time)
else:
if sub == "tool100":
w2t("单轴和场景电机电流采集完毕,如需采集惯量负载,须切换负载类型,并更换惯量负载,重新执行。\n", "green")
@ -231,7 +239,6 @@ def main():
w2t = clibs.w2t
hr = clibs.c_hr
md = clibs.c_md
insert_logdb = clibs.insert_logdb
data_dirs, data_files = clibs.traversal_files(path, w2t)
prj_file = initialization(path, sub, data_dirs, data_files, hr, w2t)

View File

@ -157,7 +157,7 @@ class ModbusRequest(object):
clibs.insert_logdb("INFO", "openapi", f"modbus: 40101 将 {probe} 写入")
def write_pon(self, pon):
self.__c.write_register(40101, pon)
self.__c.write_register(40102, pon)
clibs.insert_logdb("INFO", "openapi", f"modbus: 40102 将 {pon} 写入")
def write_axis(self, axis):
@ -318,13 +318,12 @@ class ModbusRequest(object):
return result.registers[0]
def read_scenario_time(self):
results = self.__c.read_holding_registers(41002, count=2)
result = BinaryPayloadDecoder.fromRegisters(results.registers, byteorder=Endian.BIG, wordorder=Endian.LITTLE)
result = f"{result.decode_32bit_float():.3f}"
results = self.__c.read_holding_registers(40601, count=2)
result = self.__c.convert_from_registers(results.registers, data_type=self.__c.DATATYPE.FLOAT32, word_order="little")
return result
def read_brake_done(self):
result = self.__c.read_holding_registers(41007, count=1)
result = self.__c.read_holding_registers(40603, count=1)
return result.registers[0]
@ -721,7 +720,7 @@ class HmiRequest(object):
self.close()
clibs.w2t(f"请求 {msg_id} 发送失败......\n", "red", "ReqSendFailed")
for _ in range(3):
time.sleep(clibs.interval * 2)
time.sleep(clibs.interval * 4)
try:
clibs.lock.acquire(True)
clibs.cursor.execute(f"select content from logs where content like '{f_text}'")

View File

@ -1,5 +1,275 @@
import openpyxl
import os.path
import time
import pandas
import threading
import re
from common import clibs
def main():
print("brake")
def check_files(path, rawdata_dirs, result_files, w2t):
msg_wrong = "需要有四个文件和若干个数据文件夹,可参考如下确认:\n"
msg_wrong += "1. reach33_XXXXXXX.xlsx\n2. reach66_XXXXXXX.xlsx\n3. reach100_XXXXXXX.xlsx\n4. *.cfg\n"
msg_wrong += "- reach33_load33_speed33\nreach33_load33_speed66\n......\nreach100_load100_speed66\nreach100_load100_speed100\n"
if len(result_files) != 4 or len(rawdata_dirs) == 0:
w2t(msg_wrong, "red", "InitFileError")
config_file, reach33_file, reach66_file, reach100_file = None, None, None, None
for result_file in result_files:
filename = result_file.split("/")[-1]
if re.match(".*\\.cfg", filename):
config_file = result_file
elif filename.startswith("reach33_") and filename.endswith(".xlsx"):
reach33_file = result_file
elif filename.startswith("reach66_") and filename.endswith(".xlsx"):
reach66_file = result_file
elif filename.startswith("reach100_") and filename.endswith(".xlsx"):
reach100_file = result_file
else:
if not (config_file and reach33_file and reach66_file and reach100_file):
w2t(msg_wrong, "red", "InitFileError")
reach_s = ['reach33', 'reach66', 'reach100']
load_s = ['load33', 'load66', 'load100']
speed_s = ['speed33', 'speed66', 'speed100']
for rawdata_dir in rawdata_dirs:
components = rawdata_dir.split("/")[-1].split('_') # reach_load_speed
if components[0] not in reach_s or components[1] not in load_s or components[2] not in speed_s:
msg = f"报错信息:数据目录 {rawdata_dir} 命名不合规,请参考如下形式\n"
msg += "命名规则reachAA_loadBB_speedCCAA/BB/CC 指的是臂展/负载/速度的比例\n"
msg += "规则解释reach66_load100_speed33表示 66% 臂展100% 负载以及 33% 速度情况下的测试结果文件夹\n"
w2t(msg, "red", "WrongDataFolder")
_, rawdata_files = clibs.traversal_files(rawdata_dir, w2t)
if len(rawdata_files) != 3:
msg = f"数据目录 {rawdata_dir} 下数据文件个数错误,每个数据目录下有且只能有三个以 .data 为后缀的数据文件\n"
w2t(msg, "red", "WrongDataFile")
for rawdata_file in rawdata_files:
if not rawdata_file.endswith(".data"):
msg = f"数据文件 {rawdata_file} 后缀错误,每个数据目录下有且只能有三个以 .data 为后缀的数据文件"
w2t(msg, "red", "WrongDataFile")
w2t("数据目录合规性检查结束,未发现问题......")
def get_configs(configfile, w2t):
axis = configfile.split('\\')[-2][-1]
if axis not in ['1', '2', '3']:
w2t("被处理的根文件夹命名必须是 [Jj][123] 的格式", 0, 9, 'red')
else:
axis = int(axis)
_wb = load_workbook(configfile, read_only=True)
_ws = _wb['Target']
rr = float(_ws.cell(row=2, column=axis + 1).value)
av = float(_ws.cell(row=3, column=axis + 1).value)
return av, rr
def now_doing_msg(docs, flag, w2t):
# 功能:输出正在处理的文件或目录
# 参数文件或目录start 或 done 标识
# 返回值:-
now = strftime('%Y-%m-%d %H:%M:%S', localtime(time()))
file_type = 'file' if isfile(docs) else 'dir'
if flag == 'start' and file_type == 'dir':
w2t(f"[{now}] 正在处理目录 {docs} 中的数据......")
elif flag == 'start' and file_type == 'file':
w2t(f"[{now}] 正在处理文件 {docs} 中的数据......")
elif flag == 'done' and file_type == 'dir':
w2t(f"[{now}] 目录 {docs} 数据文件已处理完毕")
elif flag == 'done' and file_type == 'file':
w2t(f"[{now}] 文件 {docs} 数据已处理完毕")
def w2t_local(msg, wait, w2t):
while True:
global stop
if stop == 0 and wait != 0:
sleep(1)
w2t(msg, wait, 0, 'orange')
else:
break
def copy_data_to_result(df, ws_result, row_start, row_end, vel, trq, estop):
# 功能:将数据文件中有效数据拷贝至结果文件对应的 sheet
# 参数:如上
# 返回值:-
# 结果文件数据清零
data = []
for _row in range(row_start, row_end + 1):
data.append(df.iloc[_row, vel - 1])
data.append(df.iloc[_row, trq - 1])
data.append(df.iloc[_row, estop - 1])
i = 0
row_max = 2000 if row_end - row_start < 2000 else row_end - row_start + 20
for _row in range(2, row_max):
try:
ws_result.cell(row=_row, column=1).value = data[i]
ws_result.cell(row=_row, column=2).value = data[i + 1]
ws_result.cell(row=_row, column=3).value = data[i + 2]
i += 3
except:
ws_result.cell(row=_row, column=1).value = None
ws_result.cell(row=_row, column=2).value = None
ws_result.cell(row=_row, column=3).value = None
def find_row_start(data_file, df, conditions, av, rr, vel, estop, w2t):
# 功能:查找数据文件中有效数据的行号,也即最后一个速度下降的点位
# 参数:如上
# 返回值:速度下降点位,最后的数据点位
ratio = float(conditions[2].removeprefix('speed')) / 100
av_max = av * ratio
row_max = df.index[-1]
threshold = 0.95
for _row in range(row_max, -1, -1):
if df.iloc[_row, estop - 1] != 0:
row_start = _row - 20 if _row - 20 > 0 else 0
break
else:
w2t(f"数据文件 {data_file} 采集的数据中没有 ESTOP 为非 0 的情况,需要确认", 0, 9, 'red')
for _row in range(row_start, row_max):
speed_row = (df.iloc[_row, vel - 1] * 180) / 3.1415926 * rr * 60 / 360
if abs(speed_row) < 1:
row_end = _row + 100 if _row + 100 <= row_max else row_max
break
else:
w2t(f"数据文件 {data_file} 最后的速度未降为零 ", 0, 10, 'red')
av_estop = abs((df.iloc[row_start - 10:row_start + 10, vel - 1].abs().mean() * 180) / 3.1415926)
if abs(av_estop / av_max) < threshold:
filename = data_file.split('\\')[-1]
w2t(f"[av_estop: {av_estop:.2f} | shouldbe: {av_max:.2f}] 数据文件 {filename} 触发 ESTOP 时未采集到指定百分比的最大速度,需要检查", 0, 0, '#8A2BE2')
return row_start, row_end
def find_result_sheet_name(conditions, count):
# 功能获取结果文件准确的sheet页名称
# 参数:臂展和速度的列表
# 返回值结果文件对应的sheet name
# 33%负载_33%速度_1 - ['loadxx', 'reachxx', 'speedxx']
load = conditions[0].removeprefix('load')
speed = conditions[2].removeprefix('speed')
result_sheet_name = f"{load}%负载_{speed}%速度_{count}"
return result_sheet_name
def single_file_process(data_file, wb_result, count, av, rr, vel, trq, estop, w2t):
# 功能:完成单个数据文件的处理
# 参数:如上
# 返回值:-
df = read_csv(data_file, sep='\t')
conditions = sorted(data_file.split('\\')[-2].split('_')) # ['loadxx', 'reachxx', 'speedxx']
result_sheet_name = find_result_sheet_name(conditions, count)
ws_result = wb_result[result_sheet_name]
row_start, row_end = find_row_start(data_file, df, conditions, av, rr, vel, estop, w2t)
copy_data_to_result(df, ws_result, row_start, row_end, vel, trq, estop)
def data_process(result_file, raw_data_dirs, av, rr, vel, trq, estop, w2t):
# 功能:完成一个结果文件的数据处理
# 参数:结果文件,数据目录,以及预读取的参数
# 返回值:-
file_name = result_file.split('\\')[-1]
w2t(f"正在打开文件 {file_name} 需要 1min 左右", 1, 0, 'orange')
global stop
stop = 0
t_excel = clibs.GetThreadResult(load_workbook, args=(result_file,))
t_wait = Thread(target=w2t_local, args=('.', 1, w2t))
t_excel.start()
t_wait.start()
t_excel.join()
wb_result = t_excel.get_result()
stop = 1
sleep(1.1)
w2t('')
prefix = result_file.split('\\')[-1].split('_')[0]
for raw_data_dir in raw_data_dirs:
if raw_data_dir.split('\\')[-1].split('_')[0] == prefix:
now_doing_msg(raw_data_dir, 'start', w2t)
_, data_files = clibs.traversal_files(raw_data_dir, w2t)
# 数据文件串行处理模式---------------------------------
# count = 1
# for data_file in data_files:
# now_doing_msg(data_file, 'start', w2t)
# single_file_process(data_file, wb_result, count, av, rr, vel, trq, estop, w2t)
# count += 1
# now_doing_msg(data_file, 'done', w2t)
# ---------------------------------------------------
# 数据文件并行处理模式---------------------------------
threads = [
Thread(target=single_file_process, args=(data_files[0], wb_result, 1, av, rr, vel, trq, estop, w2t)),
Thread(target=single_file_process, args=(data_files[1], wb_result, 2, av, rr, vel, trq, estop, w2t)),
Thread(target=single_file_process, args=(data_files[2], wb_result, 3, av, rr, vel, trq, estop, w2t))
]
[t.start() for t in threads]
[t.join() for t in threads]
# ---------------------------------------------------
now_doing_msg(raw_data_dir, 'done', w2t)
now_doing_msg(result_file, 'done', w2t)
w2t(f"正在保存文件 {file_name} 需要 1min 左右", 1, 0, 'orange')
stop = 0
t_excel = Thread(target=wb_result.save, args=(result_file,))
t_wait = Thread(target=w2t_local, args=('.', 1, w2t))
t_excel.start()
t_wait.start()
t_excel.join()
stop = 1
sleep(1.1)
w2t('\n')
def main():
# path, vel, trq, estop, w2t
path = clibs.data_dp["_path"]
vel = int(clibs.data_dp["_vel"])
trq = int(clibs.data_dp["_trq"])
estop = int(clibs.data_dp["_estop"])
w2t = clibs.w2t
insert_logdb = clibs.insert_logdb
time_start = time.time()
rawdata_dirs, result_files = clibs.traversal_files(path, w2t)
# threads = []
check_files(path, rawdata_dirs, result_files, w2t)
# av, rr = get_configs(path + '\\configs.xlsx', w2t)
#
# prefix = []
# for raw_data_dir in rawdata_dirs:
# prefix.append(raw_data_dir.split('\\')[-1].split("_")[0])
#
# for result_file in result_files:
# if result_file.split('\\')[-1].split('_')[0] not in set(prefix):
# continue
# else:
# now_doing_msg(result_file, 'start', w2t)
# data_process(result_file, raw_data_dirs, av, rr, vel, trq, estop, w2t)
# # threads.append(Thread(target=data_process, args=(result_file, raw_data_dirs, av, rr, vel, trq, estop, w2t)))
# # [t.start() for t in threads]
# # [t.join() for t in threads]
w2t("----------------------------------------------------------\n")
w2t("全部处理完毕\n")
time_end = time.time()
time_total = time_end - time_start
msg = f"数据处理时间:{time_total // 3600:02.0f} h {time_total % 3600 // 60:02.0f} m {time_total % 60:02.0f} s\n"
w2t(msg)
if __name__ == "__main__":
main()