103 lines
4.0 KiB
Python
103 lines
4.0 KiB
Python
import json
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import random
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import sys
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import time
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import numpy as np
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from Database.database_mgr import *
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from Exercise3.running_muwb import score_compute
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from score_doc import get_fin_score
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if __name__ == "__main__":
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gender = "man"
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age = 23
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person_num = 60
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day_tag = [
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'2024年4月5日8时', '2024年4月10日8时', '2024年4月13日15时', '2024年4月17日8时', '2024年4月20日15时',
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'2024年4月24日8时', '2024年4月26日15时', '2024年4月30日8时', '2024年5月3日8时', '2024年5月8日8时',
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'2024年5月10日15时'
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]
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for day in day_tag:
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date_struct = time.strptime(day, "%Y年%m月%d日%H时")
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timestamp = time.mktime(date_struct)
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print(day, timestamp)
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days = len(day_tag)
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# 生成基础数据
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base = {}
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# 引题向上
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data = np.random.normal(loc=14, scale=2, size=(person_num,))
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count_data = np.round(data)
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for i, count in enumerate(count_data):
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base.setdefault(PULLUP, [])
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base[PULLUP].append(count)
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# 仰卧起坐
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data = np.random.normal(loc=60, scale=10, size=(person_num,))
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count_data = np.round(data)
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for i, count in enumerate(count_data):
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base.setdefault(SITUP, [])
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base[SITUP].append(count)
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# 蛇形跑
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data = np.random.normal(loc=20, scale=0.3, size=(person_num,))
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count_data = np.round(data, 2)
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for i, count in enumerate(count_data):
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base.setdefault(RUNAROUND, [])
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base[RUNAROUND].append(count)
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# 长跑
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data = np.random.normal(loc=790, scale=20, size=(person_num,))
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count_data = np.round(data)
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for i, count in enumerate(count_data):
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base.setdefault(RUNNING, [])
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base[RUNNING].append(count)
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for dur in range(days):
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# 引题向上
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for i, count in enumerate(base[PULLUP]):
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ratio = dur * random.randrange(start=0, stop=5000) / 1e6
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count = count * (1 + ratio)
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base[PULLUP][i] = count
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score = get_fin_score.Military(gender, int(age),
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integratedProjectResult=int(count)).IntegratedProjectScoreEvaluation()
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if isinstance(score, str):
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score = 0
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print(i + 1, f"人员{i + 1}", f"{int(i // 10 + 1)}班", day_tag[dur], "PULLUP", int(count), score, dur)
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# 仰卧起坐
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for i, count in enumerate(base[SITUP]):
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ratio = dur * random.randrange(start=0, stop=1000) / 1e6
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count = count * (1 + ratio)
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base[SITUP][i] = count
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score = get_fin_score.Military(gender, int(age), sitUpsResult=int(count)).SitUpsScoreEvaluation()
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if isinstance(score, str):
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score = 0
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print(i + 1, f"人员{i + 1}", f"{int(i // 10 + 1)}班", day_tag[dur], "SITUP", int(count), score, dur)
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# 蛇形跑
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for i, count in enumerate(base[RUNAROUND]):
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ratio = dur * random.randrange(start=0, stop=500) / 1e6
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count = count * (1 - ratio)
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base[RUNAROUND][i] = count
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score = get_fin_score.Military(gender, int(age),
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serpentine60RunResult=round(count, 2)).Serpentine60RunScoreEvaluation()
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if isinstance(score, str):
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score = 0
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print(i + 1, f"人员{i + 1}", f"{int(i // 10 + 1)}班", day_tag[dur], "RUNBF", round(count, 2), score, dur)
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# 长跑
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# 成绩文件
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PATH = sys.path[0]
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file = open(f"{PATH}/Exercise3/running_score.json")
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score_data = json.load(file)
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for i, count in enumerate(base[RUNNING]):
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ratio = dur * random.randrange(start=0, stop=1000) / 1e6
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count = count * (1 - ratio)
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base[RUNNING][i] = count
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score = score_compute(age=age, cost=count, score_data=score_data)
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if isinstance(score, str):
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score = 0
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print(i + 1, f"人员{i + 1}", f"{int(i // 10 + 1)}班", day_tag[dur], "RUNNING", int(count), score, dur)
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