添加原油特征停更预警
This commit is contained in:
workpc
parent
da929edbac
commit
9b7f64535f
@ -121,38 +121,49 @@ upload_data = {
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# # 变量定义--测试环境
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# login_pushreport_url = "http://192.168.100.53:8080/jingbo-dev/api/server/login"
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# upload_url = "http://192.168.100.53:8080/jingbo-dev/api/analysis/reportInfo/researchUploadReportSave"
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# # upload_url = "http://192.168.100.109:8080/jingbo/api/analysis/reportInfo/researchUploadReportSave" # zhaoqiwei
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login_pushreport_url = "http://192.168.100.53:8080/jingbo-dev/api/server/login"
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upload_url = "http://192.168.100.53:8080/jingbo-dev/api/analysis/reportInfo/researchUploadReportSave"
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# upload_url = "http://192.168.100.109:8080/jingbo/api/analysis/reportInfo/researchUploadReportSave" # zhaoqiwei
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upload_warning_url = "http://192.168.100.53:8080/jingbo-dev/api/basicBuiness/crudeOilWarning/save"
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# login_data = {
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# "data": {
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# "account": "api_test",
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# "password": "MmVmNzNlOWI0MmY0ZDdjZGUwNzE3ZjFiMDJiZDZjZWU=",
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# "tenantHashCode": "8a4577dbd919675758d57999a1e891fe",
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# "terminal": "API"
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# },
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# "funcModule": "API",
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# "funcOperation": "获取token"
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# }
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login_data = {
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"data": {
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"account": "api_test",
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# "password": "MmVmNzNlOWI0MmY0ZDdjZGUwNzE3ZjFiMDJiZDZjZWU=", # Shihua@123456
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"password": "ZTEwYWRjMzk0OWJhNTlhYmJlNTZlMDU3ZjIwZjg4M2U=", # 123456
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"tenantHashCode": "8a4577dbd919675758d57999a1e891fe",
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"terminal": "API"
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},
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"funcModule": "API",
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"funcOperation": "获取token"
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}
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# upload_data = {
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# "funcModule":'研究报告信息',
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# "funcOperation":'上传原油价格预测报告',
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# "data":{
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# "ownerAccount":'arui', #报告所属用户账号
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# "reportType":'OIL_PRICE_FORECAST', # 报告类型，固定为OIL_PRICE_FORECAST
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# "fileName": '2000-40-5-50--100-原油指标数据.xlsx-Brent活跃合约--2024-09-06-15-01-29-预测报告.pdf', #文件名称
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# "fileBase64": '' ,#文件内容base64
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# "categoryNo":'yyjgycbg', # 研究报告分类编码
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# "smartBusinessClassCode":'YCJGYCBG', #分析报告分类编码
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# "reportEmployeeCode":"E40116", # 报告人
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# "reportDeptCode" :"D0044" ,# 报告部门
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# "productGroupCode":"RAW_MATERIAL" # 商品分类
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# }
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# }
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upload_data = {
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"funcModule":'研究报告信息',
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"funcOperation":'上传原油价格预测报告',
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"data":{
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"ownerAccount":'arui', #报告所属用户账号
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"reportType":'OIL_PRICE_FORECAST', # 报告类型，固定为OIL_PRICE_FORECAST
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"fileName": '2000-40-5-50--100-原油指标数据.xlsx-Brent活跃合约--2024-09-06-15-01-29-预测报告.pdf', #文件名称
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"fileBase64": '' ,#文件内容base64
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"categoryNo":'yyjgycbg', # 研究报告分类编码
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"smartBusinessClassCode":'YCJGYCBG', #分析报告分类编码
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"reportEmployeeCode":"E40116", # 报告人
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"reportDeptCode" :"D0044" ,# 报告部门
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"productGroupCode":"RAW_MATERIAL" # 商品分类
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}
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}
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warning_data = {
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"funcModule":'原油特征停更预警',
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"funcOperation":'原油特征停更预警',
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"data":{
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'WARNING_TYPE_NAME':'日度数据',
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'WARNING_CONTENT':'',
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'WARNING_DATE':''
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}
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}
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### 线上开关
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# is_train = True # 是否训练
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@ -164,6 +175,8 @@ upload_data = {
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# is_edbnamelist = False # 自定义特征，对应上面的edbnamelist
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# is_update_eta = True # 预测结果上传到eta
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# is_update_report = True # 是否上传报告
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# is_update_warning_data = False # 是否上传预警数据
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### 开关
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is_train = True # 是否训练
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@ -175,7 +188,7 @@ is_edbcode = False # 特征使用edbcoding列表中的
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is_edbnamelist = False # 自定义特征，对应上面的edbnamelist
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is_update_eta = False # 预测结果上传到eta
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is_update_report = False # 是否上传报告
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is_update_warning_data = True # 是否上传预警数据
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# 数据截取日期
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end_time = '' # 数据截取日期
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debugdemo.ipynb
34756
debugdemo.ipynb
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Load Diff
153
lib/dataread.py
153
lib/dataread.py
@ -114,7 +114,19 @@ def upload_report_data(token, upload_data):
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logger.info("报告上传失败")
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return None
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def upload_warning_data(token, warning_data):
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warning_data = warning_data
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headers = {"Authorization": token}
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logger.info("预警上传中...")
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logger.info(f"token:{token}")
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logger.info(f"warning_data:{warning_data}" )
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upload_res = requests.post(url=upload_warning_url, headers=headers, json=warning_data, timeout=(3, 15))
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if upload_res:
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return upload_res
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else:
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logger.info("预警上传失败")
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return None
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# 统计特征频度
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def featurePindu(dataset):
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@ -498,12 +510,26 @@ def datachuli(df_zhibiaoshuju,df_zhibiaoliebiao,datecol='date',end_time='',y='y'
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logger.info(f'删除预警的特征后数据量：{df.shape}')
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logger.info(f'删除两月不更新特征前数据量：{df.shape}')
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if is_update_warning_data:
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logger.info(f'上传预警信息')
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try:
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warning_data_df = last_update_times_df[last_update_times_df['feature'].isin(columns_to_drop)][['last_update_time','feature']]
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warning_data_df.sort_values(by='last_update_time',ascending=False,inplace=True)
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warning_data['data']['WARNING_DATE'] = y_last_update_time
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warning_data['data']['WARNING_CONTENT'] = warning_data_df.to_string(index=False)
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token = get_head_auth_report()
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upload_warning_data(token, warning_data)
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logger.info(f'上传预警信息成功')
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except Exception as e:
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logger.error(f'上传预警信息失败：{e}')
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# 去掉近最后数据对应的日期在六月以前的列，删除近2月的数据是常熟的列
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current_date = datetime.datetime.now()
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two_months_ago = current_date - timedelta(days=180)
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logger.info(f'删除两月不更新特征前数据量：{df.shape}')
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def check_column(col_name):
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'''
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去掉空值列
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@ -673,127 +699,6 @@ def getdata_juxiting(filename, datecol='date',y='y',dataset='',add_kdj=False,is_
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return df
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# def filter_data(ClassifyName,data):
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# '''
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# 指标名称保留规则
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# '''
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# # 包含 关键词 去除， 返回flase
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# if any(keyword in data for keyword in ['运费','检修','波动率','地缘政治','股价',
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# '同比','环比','环差','裂差','4WMA','变频','道琼斯','标普500','纳斯达克',
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# '四周均值','名占比','残差','DMA',
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# '连7-连9','4周平均','4周均值','滚动相关性','日本']):
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# return False
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# # 检查需要的特征
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# # 去掉 分析 分类下的数据
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# if ClassifyName == '分析':
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# return False
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# # 保留 库存中特殊关键词
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# if ClassifyName == '库存':
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# if any(keyword in data for keyword in ['原油' , '美国' ,'全球' ,'中国' ,'富查伊拉','ARA' ]):
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# return True
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# else:
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# pass
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# else:
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# pass
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# # 去掉 持仓中不是基金的数据
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# if ClassifyName == '持仓':
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# if '基金' not in data:
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# return False
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# else:
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# pass
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# else:
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# pass
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# # 去掉 航班中不是中国、美国 的数据
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# if ClassifyName == '需求':
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# if '航班' in data :
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# if '中国' in data or '美国' in data :
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# return True
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# else:
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# return False
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# else:
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# pass
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# else:
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# pass
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# # 分类为 期货市场，同质性数据取第一个
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# if ClassifyName == '期货市场':
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# # 去掉c1-9 以后的
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# if 'c1-c' in data:
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# try:
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# c = int(data.split('c1-c')[1])
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# except:
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# return False
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# if c > 9 :
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# return False
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# else:
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# pass
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# else:
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# pass
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# # 判断 同质性数据， 字符串开头
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# strstartdict = {'ICE Brent c':"ICE Brent c14",
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# 'NYMWX WTI c':"NYMWX WTI c5",
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# 'INE SC c':"INE SC c1",
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# 'EFS c':"EFS c",
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# 'Dubai Swap c':"Dubai Swap c1",
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# 'Oman Swap c':"Oman Swap c1",
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# 'DME Oman c':"DME Oman c1",
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# 'Murban Futures c':"Murban Futures c1",
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# 'Dubai连合约价格':'Dubai连1合约价格',
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# '美国RBOB期货月份合约价格':'美国RBOB期货2309月份合约价格',
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# 'Brent连合约价格':'Brent连1合约价格',
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# 'WTI连合约价格':'WTI连1合约价格',
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# '布伦特连合约价格':'Brent连1合约价格',
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# 'Brent 连合约价格':'Brent连1合约价格',
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# 'Dubai连合约价格':'Dubai连1合约价格',
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# 'Brent连':'Brent连1合约价格',
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# 'brent连':'Brent连1合约价格',
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# }
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# # 判断名称字符串开头是否在 strstartdict.keys中
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# match = re.match(r'([a-zA-Z\s]+)(\d+)', data)
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# if match:
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# part1 = match.group(1)
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# part2 = match.group(2)
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# if part1 in [i for i in strstartdict.keys()]:
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# if data == strstartdict[part1]:
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# return True
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# else:
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# return False
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# # data = 'Brent 连7合约价格'
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# # 判断名称字符串去掉数字后是否在 strstartdict.keys中
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# match = re.findall(r'\D+', data)
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# if match :
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# if len(match) == 2:
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# part1 = match[0]
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# part2 = match[1]
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# if part1+part2 in [i for i in strstartdict.keys()]:
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# if data == strstartdict[part1+part2]:
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# return True
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# else:
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# return False
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# else:
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# pass
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# elif len(match) == 1:
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# match = re.findall(r'\D+', data)
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# part1 = match[0]
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# if part1 in [i for i in strstartdict.keys()]:
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# if data == strstartdict[part1]:
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# return True
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# else:
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# return False
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# else:
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# pass
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# else:
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# pass
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# return True
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def sanitize_filename(filename):
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# 使用正则表达式替换不合规的字符
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178
测试环境登录接口调试.ipynb
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178
测试环境登录接口调试.ipynb
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{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 6,
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"id": "31c0e11d-c87a-4e95-92a0-d1d09625e255",
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"metadata": {},
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"outputs": [],
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"source": [
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"from config_jingbo import *\n",
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"import requests\n",
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"import json"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 7,
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"id": "83c81b9e",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"'http://192.168.100.53:8080/jingbo-dev/api/server/login'"
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]
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},
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"execution_count": 7,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"login_pushreport_url\n"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 8,
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"id": "2b330ee3-c006-4ab1-8558-59c51ac8d86f",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"{'data': {'account': 'api_test',\n",
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" 'password': 'ZTEwYWRjMzk0OWJhNTlhYmJlNTZlMDU3ZjIwZjg4M2U=',\n",
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" 'tenantHashCode': '8a4577dbd919675758d57999a1e891fe',\n",
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" 'terminal': 'API'},\n",
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" 'funcModule': 'API',\n",
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" 'funcOperation': '获取token'}"
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]
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},
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"execution_count": 8,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"login_data"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "dcb6100a-ed2b-4077-a1a9-361c6cb565f9",
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"{'confirmFlg': False, 'data': {'accessToken': 'eyJ0eXAiOiJKV1QiLCJhbGciOiJIUzI1NiJ9.eyJzdWIiOiJhcGlfdGVzdCIsInRoIjoiOGE0NTc3ZGJkOTE5Njc1NzU4ZDU3OTk5YTFlODkxZmUiLCJsdCI6ImFwaSIsImlzcyI6IiIsInRtIjoiUEMiLCJleHAiOjE3MzE5NDMzODgsImp0aSI6ImMwMTY4NWI1NTFlMzQyNGQ5M2JkZDIyYmE4YzI3YjY5In0.cj5Py63Hl0VML75Yy5VyFz4le-aM3VtFPXjjuwS8Y3w', 'md5Token': 'bd259af3a6d7e158204664387e18c4f5'}, 'status': True}\n"
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]
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}
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],
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"source": [
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"\n",
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"def get_head_auth_report():\n",
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" login_res = requests.post(url=login_pushreport_url, json=login_data, timeout=(3, 5))\n",
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" text = json.loads(login_res.text)\n",
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" print(text)\n",
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" if text[\"status\"]:\n",
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" token = text[\"data\"][\"accessToken\"]\n",
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" return token\n"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "22c0c7c4",
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"metadata": {},
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"outputs": [
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{
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"ename": "NameError",
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"evalue": "name 'get_head_auth_report' is not defined",
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"output_type": "error",
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"traceback": [
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"\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
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"\u001b[1;31mNameError\u001b[0m Traceback (most recent call last)",
|
||||
"Cell \u001b[1;32mIn[10], line 1\u001b[0m\n\u001b[1;32m----> 1\u001b[0m get_head_auth_report()\n",
|
||||
"\u001b[1;31mNameError\u001b[0m: name 'get_head_auth_report' is not defined"
|
||||
]
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"token = get_head_auth_report()"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"id": "12077ead",
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"token = 'eyJ0eXAiOiJKV1QiLCJhbGciOiJIUzI1NiJ9.eyJzdWIiOiJhcGlfdGVzdCIsInRoIjoiOGE0NTc3ZGJkOTE5Njc1NzU4ZDU3OTk5YTFlODkxZmUiLCJsdCI6ImFwaSIsImlzcyI6IiIsInRtIjoiUEMiLCJleHAiOjE3MzE5NDQ1MjMsImp0aSI6IjMxOTFlYTFmMDljOTQ3MjQ5OGIxYmEzMWZiYzUyNWE5In0.XEvtFDbN6Qd9ibTEzLWykcDSgiQQOgBro6vTzXiwbgQ'"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"id": "a7ae21d1",
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"warning_data = {'funcModule': '原油特征停更预警', \n",
|
||||
" 'funcOperation': '原油特征停更预警', \n",
|
||||
" 'data': {'WARNING_TYPE_NAME': '日度数据', \n",
|
||||
" 'WARNING_CONTENT': ''' feature last_update_time update_period warning_date\\n 美国:东海岸地区:炼油厂的投入与使用情况:开工率:当周值 2024-06-14 7.0 2024-06-29\\n 美国:炼油厂的投入与 使用情况:开工率:当周值 2024-06-14 7.0 2024-06-29\\n 美国:洛基山地区:炼油厂的投入与使用情况:开工率:当周值 2024-06-14 7.0 2024-06-29\\n \n",
|
||||
" 美国:墨西哥湾沿岸:炼油厂的投入与使用情况:开工率:当周值 2024-06-14 7.0 2024-06-29\\n 美国:西海岸地区:炼油厂的投入与使用情况:开工率:当周值 2024-06-14 7.0 2024-06-29\\n 美国:中西部地区:炼油厂的投入与使用情况:开工率:当周值 2024-06-14 7.0 2024-06-29\\n 中国航班执行数 2024-04-10 1.0 2024-04-13\\n 美国汽油产量占比 2024-10-04 7.0 2024-10-19\\n 美国柴油产量占比 2024-10-04 7.0 2024-10-19\\n 西北欧即期Brent 211利润 2018-10-24 1.0 2018-10-27\\n 美国RBOB期货2309月份合约价格 2023-08-31 1.0 2023-09-03\\nPVM Dubai EFS/Swap vs ICE First Month Brent 2023-01-03 1.0 2023-01-06\\n Ebob连1合约 2024-02-28 1.0 2024-03-02\\n Brent/迪拜原油升贴水 2022-11-16 1.0 2022-11-19\\n W-B活跃合约价差 2022-01-31 1.0 2022-02-03\\n B-W活跃合约价差 2022-01-31 1.0 2022-02-03\\n Brent c2-c3 (结算B) 2024-10-31 1.0 2024-11-03\\n WTI c2-c3 (结算B) 2024-10-31 1.0 2024-11-03\\n Kpler-海运在途原油 2024-08-20 1.0 2024-08-23\\n 全球原油库存（剔除富查伊拉） 2024-07-21 7.0 2024-08-05\\n 原油：山东港口：库存：新口径（周）超季节性/3年 2024-05-24 7.0 2024-06-08\\n 原油：港口库存：中国（周） 2023-08-04 7.0 2023-08-19\\n 原油：山东港口：库存：新口径（周） 2024-05-24 7.0 2024-06-08\\n 美国墨西哥湾87#汽油现货价格 2024-01-31 1.0 2024-02-03\\n 欧洲汽油裂解 2024-11-01 1.0 2024-11-04\\n Brent c1 02:30收盘价滞后1天 2024-10-30 1.0 2024-11-02\\n Brent c2 02:30收盘价滞后1天 2024-10-30 1.0 2024-11-02\\n EFS c1 02:30收盘价滞后1天 2024-10-30 1.0 2024-11-02\\n EFS c2 02:30收盘价滞后1天 2024-10-30 1.0 2024-11-02\\n 原油：开工率：东北地区：独立炼厂（周） 2023-03-31 7.0 2023-04-15\\n 美国墨西哥湾原油钻机数 2024-09-27 7.0 2024-10-12\\n Kpler-美国原油净进口（周度） 2024-08-25 7.0 2024-09-09\\n 中东-也门周度原油海运出口 2023-08-27 21.0 2023-10-09\\n 中东-巴林周度原油海运出口 2024-04-28 7.0 2024-05-13' ''', \n",
|
||||
" 'WARNING_DATE': '2024-11-14'}}"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"id": "3e1a9e67",
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"# def upload_warning_data(token, warning_data):\n",
|
||||
"warning_data = warning_data\n",
|
||||
"headers = {\"Authorization\": token}\n",
|
||||
"logger.info(\"预警上传中...\")\n",
|
||||
"logger.info(f\"token:{token}\")\n",
|
||||
"logger.info(f\"warning_data:{warning_data}\" )\n",
|
||||
"upload_res = requests.post(url=upload_warning_url, headers=headers, json=warning_data, timeout=(3, 15))\n",
|
||||
"print(upload_res)\n",
|
||||
" # if upload_res:\n",
|
||||
" # return upload_res\n",
|
||||
" # else:\n",
|
||||
" # logger.info(\"预警上传失败\")\n",
|
||||
" # return None"
|
||||
]
|
||||
}
|
||||
],
|
||||
"metadata": {
|
||||
"kernelspec": {
|
||||
"display_name": "base",
|
||||
"language": "python",
|
||||
"name": "python3"
|
||||
},
|
||||
"language_info": {
|
||||
"codemirror_mode": {
|
||||
"name": "ipython",
|
||||
"version": 3
|
||||
},
|
||||
"file_extension": ".py",
|
||||
"mimetype": "text/x-python",
|
||||
"name": "python",
|
||||
"nbconvert_exporter": "python",
|
||||
"pygments_lexer": "ipython3",
|
||||
"version": "3.11.7"
|
||||
}
|
||||
},
|
||||
"nbformat": 4,
|
||||
"nbformat_minor": 5
|
||||
}
|
||||
Loading…
Reference in New Issue
Block a user