81 lines
2.7 KiB
Python
81 lines
2.7 KiB
Python
import requests
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from datetime import datetime
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import pytz
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def convert_timestamp_to_beijing_time(timestamp):
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# 将毫秒级时间戳转换为秒级时间戳
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timestamp_seconds = timestamp / 1000
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# 将时间戳转换为datetime对象
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utc_time = datetime.utcfromtimestamp(timestamp_seconds)
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# 设定UTC时区
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utc_timezone = pytz.timezone('UTC')
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# 转换为北京时间
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beijing_timezone = pytz.timezone('Asia/Shanghai')
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beijing_time = utc_time.replace(tzinfo=utc_timezone).astimezone(beijing_timezone)
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return beijing_time
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def conver_beingtime_to_ucttime(timestr:str):
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beijing_time=datetime.strptime(timestr,'%Y-%m-%d %H:%M:%S')
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utc_time=beijing_time.astimezone(pytz.utc)
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str_utc=utc_time.strftime('%Y-%m-%dT%H:%M:%SZ')
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#print(str_utc)
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return str_utc
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def get_hist_data(ids, begin_date,end_date)->dict[str,dict[datetime,float]]:
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# 数据接口的地址
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url = 'http://183.64.62.100:9057/loong/api/curves/data'
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# 设置 GET 请求的参数
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params = {
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'ids': ids,
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'beginDate': begin_date,
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'endDate': end_date
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}
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lst_data={}
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try:
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# 发送 GET 请求获取数据
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response = requests.get(url, params=params)
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# 检查响应状态码，200 表示请求成功
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if response.status_code == 200:
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# 解析响应的 JSON 数据
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data = response.json()
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# 这里可以对获取到的数据进行进一步处理
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# 打印 'mpointId' 和 'mpointName'
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for item in data['items']:
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#print("mpointId:", item['mpointId'])
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#print("mpointName:", item['mpointName'])
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# 打印 'dataDate' 和 'dataValue'
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data_seriers={}
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for item_data in item['data']:
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# print("dataDate:", item_data['dataDate'])
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# 将时间戳转换为北京时间
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beijing_time = convert_timestamp_to_beijing_time(item_data['dataDate'])
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print("dataDate (Beijing Time):", beijing_time.strftime('%Y-%m-%d %H:%M:%S'))
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print("dataValue:", item_data['dataValue'])
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print() # 打印空行分隔不同条目
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r=float(item_data['dataValue'])
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data_seriers[beijing_time]=r
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lst_data[item['mpointId']]=data_seriers
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return lst_data
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else:
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# 如果请求不成功，打印错误信息
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print("请求失败，状态码:", response.status_code)
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except Exception as e:
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# 捕获异常
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print("发生异常:", e)
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# 使用示例
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# get_hist_data(ids='2498,2500',
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# begin_date='2024-03-31T16:00:00Z',
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# end_date='2024-04-01T16:00:00Z')
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