LISHUZUOXUN_yangjiang/Exercise3/running_muwb.py

415 lines
17 KiB
Python

# coding=gb2312
import json
import sys
from Database.manager_database import *
from Speaker.speak_base import SpeakServer, beep
from UWB.positioning_standalone import *
FINISH_LINE_SIZE1 = 0
FINISH_LINE_SIZE2 = 1
RUNNING_COUNTING = "cnt"
RUNNING_STATUS = "stat"
RUNNING_MES = "mes"
STATUS_ACROSS = "across"
STATUS_EXIT = "exit"
RUNNING_LAST_STATUS_TIME = "lst"
RUNNING_COST = "cost"
RUNNING_DONE = 'done'
PATH = sys.path[0]
def score_compute(age, cost, score_data):
my_age_index = 0
for age_index in range(len(score_data["age"])):
candidate_age = score_data["age"][age_index]
if candidate_age[0] <= age <= candidate_age[1]:
my_age_index = age_index
break
my_score_index = len(score_data["values"]) - 1
for value_index in range(len(score_data["values"]) - 1, 0 - 1, -1):
value = score_data["values"][value_index][my_age_index]
if cost <= value[0] * 60 + value[1]:
my_score_index = value_index
else:
break
if cost > score_data["values"][-1][my_age_index][0] * 60 + score_data["values"][-1][my_age_index][1]:
my_base_score = 0
else:
my_base_score = score_data["score"][my_score_index]
if my_base_score == 100:
value = score_data["values"][my_score_index][my_age_index]
base_score = value[0] * 60 + value[1]
my_score = my_base_score + (base_score - cost) // 5 * 1
else:
my_score = my_base_score
return my_score
class Running:
def __init__(self, positioning: Positioning, round_num=3, min_round_time=30) -> None:
self.min_round_time = float(min_round_time)
self.round_num = int(round_num)
self.positioning = positioning
self.positioning_tag = None
self.finish_line = {}
# 起跑时间
self.start_time = 0
# 结束时间
self.stop_time = 0
# 跑步记录
self.running_record = {}
# 跑步流水记录
self.running_record_list = {}
# 跑步圈时记录
self.round_record = {}
# 记录手环
self.test_tag = []
# 手环对应人员信息
self.person_mes = {}
# 是否起跑状态
self.__start_running = threading.Event()
self.__start_running.clear()
# 说话
self.speak_driver = SpeakServer()
self.speak_driver.start()
# 成绩文件
file = open(f"{PATH}/Exercise3/running_score.json")
self.score_data = json.load(file)
# 跑步记录数据
self.final_data = {}
# 是否播报
self.is_play = False
def set_play(self, is_play):
self.is_play = is_play
def update_and_play(self, tag, new_record):
if self.is_play:
this_record = self.running_record[tag]
if this_record[RUNNING_COUNTING] != new_record[RUNNING_COUNTING]:
person_name = self.person_mes[tag][NAME]
person_id = self.person_mes[tag][ID]
if new_record[RUNNING_DONE]:
self.speak_driver.add_speak(f"{person_name}完成考试!")
else:
self.speak_driver.add_speak(f"{person_name}通过第{new_record[RUNNING_COUNTING]}圈!")
self.running_record[tag] = new_record
def set_config(self, round_num, min_round_time):
self.min_round_time = float(min_round_time)
self.round_num = int(round_num)
def add_tag(self, tag):
self.test_tag.append(tag)
def del_tag(self, tag):
self.test_tag.remove(tag)
del self.person_mes[tag]
def add_tag_mes(self, tag, mes):
self.person_mes[tag] = mes
def reset(self):
self.test_tag.clear()
self.person_mes.clear()
def start(self):
# 清除缓存
self.__start_running.clear()
self.round_record.clear()
self.positioning.clear_information()
self.positioning.resume()
self.speak_driver.add_speak("准备开始考试,请就位,倒计时:")
counting = 5
for i in range(counting):
start_time = time.time()
self.speak_driver.add_speak(counting - i)
while time.time() - start_time < 1:
time.sleep(0.05)
self.speak_driver.wait_4_speak()
self.start_time = time.time()
self.positioning.set_valid_time(self.start_time)
duration = 700 # millisecond
freq = 640 # Hz
beep(freq, duration)
self.__start_running.set()
# 初始化记录
self.running_record = {
tag: {
RUNNING_COUNTING: -1,
RUNNING_STATUS: STATUS_EXIT,
RUNNING_MES: "离开",
RUNNING_COST: 0,
RUNNING_DONE: False,
}
for tag in self.test_tag
}
# 启动计算线程
threading.Thread(target=self._thread_running, daemon=True).start()
threading.Thread(target=self._thread_processing, daemon=True).start()
def kill(self):
# 记录手环
self.test_tag.clear()
self.running_record_list.clear()
self.__start_running.clear()
def stop(self):
# # 起跑时间
self.stop_time = time.time()
# self.start_time = 0
self.kill()
# 计算最终成绩
self.final_data.clear()
raw_score = self.get_score()
for score in raw_score:
band_id = score["band_id"]
person_mes = self.person_mes[band_id]
tag_mes = self.running_record[band_id]
score.update(person_mes)
score.update(tag_mes)
person_id = score["id"]
round_time = self.round_record.get(person_id)
round_time_record = round_time if round_time else []
score.update({"round_time": round_time_record})
score.update({
"fix": False, "final_result": round_time_record
})
self.final_data[person_id] = score
# 获得当前所有成绩
def get_all_score(self):
return list(self.final_data.values())
# 成绩修复
def fix_score(self, person_id):
if not self.final_data[person_id][RUNNING_DONE]:
detected_round = len(self.final_data[person_id]["round_time"])
lacked_round = self.round_num - detected_round + 1
result = [
self.final_data[person_id]["round_time"][i]
for i in range(detected_round)
]
# 如果没有成绩,按最终完成时间去计算
if len(result) <= 1:
total_time = self.stop_time - self.start_time
result = [total_time / (self.round_num + 1) for i in range(self.round_num + 1)]
# 如果有成绩
else:
for _ in range(lacked_round):
max_result = max(result)
index = result.index(max_result)
result = result[0:index:] + [max_result / 2, max_result / 2] + result[index + 1::]
self.final_data[person_id]["final_result"] = {
i: result[i] for i in range(len(result))
}
self.final_data[person_id]["fix"] = True
self.final_data[person_id]["total_time"] = sum(result)
# 修复撤销
def fix_withdraw(self, person_id):
self.final_data[person_id]["final_result"] = self.final_data[person_id]["round_time"]
self.final_data[person_id]["fix"] = False
def _thread_processing(self):
while self.__start_running.is_set():
data = self.positioning.get_last_information()
try:
# 过滤无效操作
if data:
# print(data)
record_time, mes = data
# print(self.start_time - record_time, len(self.positioning.tag_information))
if record_time < self.start_time - 3:
continue
tag = mes[TAG]
if tag not in self.test_tag:
continue
avg_distance = mes[DIST]
avg_rssi = mes[RSSI]
self.running_record_list.setdefault(tag, [])
self.running_record_list[tag].append(
{RECORD: record_time, DIST: avg_distance, RSSI: avg_rssi}
)
except Exception as e:
traceback.format_exc()
print(f"获取数据时发生错误:{e.args}")
def _thread_running(self):
# 提前开始检测时间
bias = 3
# 判定周期时间
judge_window_time = 6
detect_time_range = judge_window_time / 2
# 有效进入距离
effective_distance = 300
effective_rssi = -80
# 开始判定距离
judge_distance = 700
judge_rssi = -82
while self.__start_running.is_set():
this_time = time.time()
for tag, record in self.running_record_list.copy().items():
if tag not in self.test_tag or self.running_record[tag][RUNNING_DONE]:
continue
# 获取测试人员id
person_id = self.person_mes[tag]["id"]
sorted_record = sorted(record, key=lambda x: x[RECORD])
this_tag = {
RUNNING_COUNTING: -1,
RUNNING_STATUS: STATUS_EXIT,
RUNNING_MES: "离开",
RUNNING_COST: 0,
RUNNING_DONE: False
}
# Cache
last_status_time = -1
last_enter_time = self.start_time
for one_record in sorted_record:
try:
record_time = one_record[RECORD]
# 消除无效数据
if record_time < self.start_time - bias or this_time - record_time < detect_time_range:
continue
distance = one_record[DIST]
rssi = one_record[RSSI]
# 更新时间窗口中的数据
frontward_window = list(
filter(
lambda x: -detect_time_range <= record_time - x[RECORD] < 0,
sorted_record
)
)
# 冲线判定
if (
(
# CASE1 未来没有减少的趋势
len(frontward_window) == 0
# 未来距离都比现在大
or min([fw[DIST] for fw in frontward_window]) > distance
# 未来信号都比现在弱
or max([fw[RSSI] for fw in frontward_window]) < rssi
) or (
# CASE2 小于有效距离
distance <= effective_distance
or rssi >= effective_rssi
)
) and (
# 并且时间大于单圈时间,且已经离开,并且达到判定距离
record_time - last_status_time > self.min_round_time
and this_tag[RUNNING_STATUS] == STATUS_EXIT
and (distance < judge_distance or rssi >= judge_rssi)
):
last_status_time = record_time
this_tag[RUNNING_STATUS] = STATUS_ACROSS
this_tag[RUNNING_MES] = "冲线"
this_tag[RUNNING_COUNTING] += 1
# 圈数时间记录
self.round_record.setdefault(person_id, {})
self.round_record[person_id][
this_tag[RUNNING_COUNTING]
] = 0 if record_time - last_enter_time < 0 else record_time - last_enter_time
last_enter_time += self.round_record[person_id][
this_tag[RUNNING_COUNTING]
]
# 结束判定
if this_tag[RUNNING_COUNTING] == self.round_num:
this_tag[RUNNING_DONE] = True
this_tag[RUNNING_COST] = record_time - self.start_time
# 离开判定1
elif (
(
# 如果还有数据,并且之前已经进入了判定距离
len(frontward_window) > 0
and
(
min([fw[DIST] for fw in frontward_window]) > judge_distance
or max([fw[RSSI] for fw in frontward_window]) < judge_rssi
)
) and (
# 并且当前距离已离开范围,当前状态为冲线,距离上次判定时间超过一个判定间隔
(
distance > effective_distance
or rssi < effective_rssi
)
and this_tag[RUNNING_STATUS] == STATUS_ACROSS
and record_time - last_status_time > detect_time_range
)
):
last_status_time = record_time
this_tag[RUNNING_STATUS] = STATUS_EXIT
this_tag[RUNNING_MES] = "离开"
# 离开判定2
if (
(
# 如果已无数据
len(frontward_window) == 0
) and (
# 并且当前距离已离开范围,当前状态为冲线
(distance > 0 or rssi < -60)
# 或者最后一条数据已经过了离开判定时间了
or this_time - record_time > detect_time_range
)
and this_tag[RUNNING_STATUS] == STATUS_ACROSS
):
last_status_time = record_time
this_tag[RUNNING_STATUS] = STATUS_EXIT
this_tag[RUNNING_MES] = "离开"
except Exception as e:
traceback.format_exc()
print(f"计算时发生错误:{e.args}")
if this_time - last_status_time > self.min_round_time and this_tag[RUNNING_STATUS] == STATUS_EXIT:
this_tag[RUNNING_MES] = "回程"
# 更新记录
self.update_and_play(tag=tag, new_record=this_tag)
# 休息一下
time.sleep(1)
def get_person_round_time(self, person_id):
if person_id not in self.final_data.keys():
return {}
return self.final_data[person_id]["final_result"]
def get_valid_score(self):
result = []
for person_id, data in self.final_data.items():
if data["done"] or data["fix"]:
data["score"] = score_compute(data["age"], data["total_time"], self.score_data)
result.append(data)
return result
# 获取成绩接口
def get_score(self):
score = []
this_cost_time = time.time() - self.start_time
for tag, record in self.running_record.items():
if record[RUNNING_COUNTING] < 0:
finish_status = "未起始"
else:
if record[RUNNING_COUNTING] == 0:
finish_status = f"已开始({record[RUNNING_MES]})"
else:
finish_status = f"考试中({record[RUNNING_MES]})"
if record[RUNNING_COUNTING] == self.round_num:
finish_status = "已完成考试"
age = self.person_mes[tag]["age"]
one = {
"band_id": tag,
"score": score_compute(age, record[RUNNING_COST], self.score_data)
if record[RUNNING_COUNTING] == self.round_num else 0,
"total_time": record[RUNNING_COST] if record[RUNNING_DONE] else this_cost_time,
"round": record[RUNNING_COUNTING] if record[RUNNING_COUNTING] > 0 else 0,
"finish": finish_status,
"percentage": record[RUNNING_COUNTING] / self.round_num
if record[RUNNING_COUNTING] > 0 else 0
}
score.append(one)
return score