2025年4月1日发版内容
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workpc
parent
54506df99e
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12710ae39c
221
config_jingbo.py
221
config_jingbo.py
@ -89,24 +89,20 @@ data = {
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ClassifyId = 1214
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# 变量定义--测试环境
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server_host = '192.168.100.53' # 内网
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# server_host = '183.242.74.28' # 外网
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login_pushreport_url = f"http://{server_host}:8080/jingbo-dev/api/server/login"
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# 上传报告
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upload_url = f"http://{server_host}:8080/jingbo-dev/api/analysis/reportInfo/researchUploadReportSave"
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# 停更预警
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upload_warning_url = f"http://{server_host}:8080/jingbo-dev/api/basicBuiness/crudeOilWarning/save"
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# 查询数据项编码
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query_data_list_item_nos_url = f"http://{server_host}:8080/jingbo-dev/api/warehouse/dwDataItem/queryDataListItemNos"
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################################################################################################################ 变量定义--线上环境
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server_host = '10.200.32.39'
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login_pushreport_url = "http://10.200.32.39/jingbo-api/api/server/login"
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upload_url = "http://10.200.32.39/jingbo-api/api/analysis/reportInfo/researchUploadReportSave"
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upload_warning_url = "http://10.200.32.39/jingbo-api/api/basicBuiness/crudeOilWarning/save"
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query_data_list_item_nos_url = f"http://{server_host}/jingbo-api/api/warehouse/dwDataItem/queryDataListItemNos"
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# 上传数据项值
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push_data_value_list_url = f"http://{server_host}:8080/jingbo-dev/api/dw/dataValue/pushDataValueList"
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push_data_value_list_url = f"http://{server_host}/jingbo-api/api/dw/dataValue/pushDataValueList"
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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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"account": "api_dev",
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"password": "ZTEwYWRjMzk0OWJhNTlhYmJlNTZlMDU3ZjIwZjg4M2U=",
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"tenantHashCode": "8a4577dbd919675758d57999a1e891fe",
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"terminal": "API"
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},
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@ -114,45 +110,48 @@ login_data = {
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"funcOperation": "获取token"
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}
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upload_data = {
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"groupNo": '', # 用户组id
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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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"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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"groupNo":'', # 用户组id
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"ownerAccount":'27663', #报告所属用户账号 27663 - 刘小朋
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"reportType":'OIL_PRICE_FORECAST', # 报告类型，固定为OIL_PRICE_FORECAST
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"fileName": '', #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":"E40482" ,# 报告人 E40482 - 管理员 0000027663 - 刘小朋
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"reportDeptCode" :"002000621000", # 报告部门 - 002000621000 SH期货研究部
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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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"groupNo": '', # 用户组id
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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': '特征数据停更预警',
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'WARNING_CONTENT': '',
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'WARNING_DATE': ''
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}
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"groupNo":'', # 用户组id
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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':'特征数据停更预警',
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'WARNING_CONTENT':'',
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'WARNING_DATE':''
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}
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}
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query_data_list_item_nos_data = {
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"funcModule": "数据项",
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"funcOperation": "查询",
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"funcModule": "数据项",
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"funcOperation": "查询",
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"data": {
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"dateStart": "20200101",
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"dateEnd": "20241231",
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"dataItemNoList": ["Brentzdj", "Brentzgj"] # 数据项编码,代表 brent最低价和最高价
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"dateStart":"20200101",
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"dateEnd":"20241231",
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"dataItemNoList":["Brentzdj","Brentzgj"] # 数据项编码,代表 brent最低价和最高价
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}
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}
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push_data_value_list_data = {
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"funcModule": "数据表信息列表",
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"funcOperation": "新增",
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@ -176,26 +175,134 @@ push_data_value_list_data = {
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}
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# 八大维度数据项编码
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bdwd_items = {
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'ciri': 'yyycbdwdcr',
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'benzhou': 'yyycbdwdbz',
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'cizhou': 'yyycbdwdcz',
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'gezhou': 'yyycbdwdgz',
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'ciyue': 'yyycbdwdcy',
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'cieryue': 'yyycbdwdcey',
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'cisanyue': 'yyycbdwdcsy',
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'cisiyue': 'yyycbdwdcsiy',
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'ciri': '原油大数据预测|FORECAST|PRICE|T',
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'benzhou': '原油大数据预测|FORECAST|PRICE|W',
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'cizhou': '原油大数据预测|FORECAST|PRICE|W_1',
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'gezhou': '原油大数据预测|FORECAST|PRICE|W_2',
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'ciyue': '原油大数据预测|FORECAST|PRICE|M_1',
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'cieryue': '原油大数据预测|FORECAST|PRICE|M_2',
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'cisanyue': '原油大数据预测|FORECAST|PRICE|M_3',
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'cisiyue': '原油大数据预测|FORECAST|PRICE|M_4',
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}
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# 北京环境数据库
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host = '192.168.101.27'
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# 生产环境数据库
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host = 'rm-2zehj3r1n60ttz9x5.mysql.rds.aliyuncs.com'
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port = 3306
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dbusername = 'root'
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password = '123456'
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dbname = 'jingbo_test'
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dbusername ='jingbo'
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password = 'shihua@123'
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dbname = 'jingbo'
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table_name = 'v_tbl_crude_oil_warning'
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# # 变量定义--测试环境
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# server_host = '192.168.100.53' # 内网
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# # server_host = '183.242.74.28' # 外网
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# login_pushreport_url = f"http://{server_host}:8080/jingbo-dev/api/server/login"
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# # 上传报告
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# upload_url = f"http://{server_host}:8080/jingbo-dev/api/analysis/reportInfo/researchUploadReportSave"
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# # 停更预警
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# upload_warning_url = f"http://{server_host}:8080/jingbo-dev/api/basicBuiness/crudeOilWarning/save"
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# # 查询数据项编码
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# query_data_list_item_nos_url = f"http://{server_host}:8080/jingbo-dev/api/warehouse/dwDataItem/queryDataListItemNos"
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# # 上传数据项值
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# push_data_value_list_url = f"http://{server_host}:8080/jingbo-dev/api/dw/dataValue/pushDataValueList"
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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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# "groupNo": '', # 用户组id
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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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# "groupNo": '', # 用户组id
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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': '特征数据停更预警',
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# 'WARNING_CONTENT': '',
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# 'WARNING_DATE': ''
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# }
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# }
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# query_data_list_item_nos_data = {
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# "funcModule": "数据项",
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# "funcOperation": "查询",
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# "data": {
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# "dateStart": "20200101",
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# "dateEnd": "20241231",
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# "dataItemNoList": ["Brentzdj", "Brentzgj"] # 数据项编码,代表 brent最低价和最高价
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# }
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# }
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# push_data_value_list_data = {
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# "funcModule": "数据表信息列表",
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# "funcOperation": "新增",
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# "data": [
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# {"dataItemNo": "91230600716676129",
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# "dataDate": "20230113",
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# "dataStatus": "add",
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# "dataValue": 100.11
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# },
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# {"dataItemNo": "91230600716676129P|ETHYL_BEN|CAPACITY",
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# "dataDate": "20230113",
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# "dataStatus": "add",
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# "dataValue": 100.55
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# },
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# {"dataItemNo": "91230600716676129P|ETHYL_BEN|CAPACITY",
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# "dataDate": "20230113",
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# "dataStatus": "add",
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# "dataValue": 100.55
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# }
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# ]
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# }
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# # 八大维度数据项编码
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# bdwd_items = {
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# 'ciri': 'yyycbdwdcr',
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# 'benzhou': 'yyycbdwdbz',
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# 'cizhou': 'yyycbdwdcz',
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# 'gezhou': 'yyycbdwdgz',
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# 'ciyue': 'yyycbdwdcy',
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# 'cieryue': 'yyycbdwdcey',
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# 'cisanyue': 'yyycbdwdcsy',
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# 'cisiyue': 'yyycbdwdcsiy',
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# }
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# # 北京环境数据库
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# host = '192.168.101.27'
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# port = 3306
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# dbusername = 'root'
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# password = '123456'
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# dbname = 'jingbo_test'
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# table_name = 'v_tbl_crude_oil_warning'
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# 开关
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is_train = True # 是否训练
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is_debug = False # 是否调试
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@ -205,9 +312,9 @@ is_timefurture = True # 是否使用时间特征
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is_fivemodels = False # 是否使用之前保存的最佳的5个模型
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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_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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is_update_warning_data = True # 是否上传预警数据
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is_update_predict_value = True # 是否上传预测值到市场信息平台
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is_del_corr = 0.6 # 是否删除相关性高的特征,取值为 0-1 ，0 为不删除，0.6 表示删除相关性小于0.6的特征
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is_del_tow_month = True # 是否删除两个月不更新的特征
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@ -89,21 +89,20 @@ data = {
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ClassifyId = 1214
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# 变量定义--测试环境
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server_host = '192.168.100.53:8080' # 内网
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# server_host = '183.242.74.28' # 外网
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login_pushreport_url = f"http://{server_host}/jingbo-dev/api/server/login"
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upload_url = f"http://{server_host}/jingbo-dev/api/analysis/reportInfo/researchUploadReportSave"
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upload_warning_url = f"http://{server_host}/jingbo-dev/api/basicBuiness/crudeOilWarning/save"
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query_data_list_item_nos_url = f"http://{server_host}/jingbo-dev/api/warehouse/dwDataItem/queryDataListItemNos"
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################################################################################################################ 变量定义--线上环境
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server_host = '10.200.32.39'
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login_pushreport_url = "http://10.200.32.39/jingbo-api/api/server/login"
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upload_url = "http://10.200.32.39/jingbo-api/api/analysis/reportInfo/researchUploadReportSave"
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upload_warning_url = "http://10.200.32.39/jingbo-api/api/basicBuiness/crudeOilWarning/save"
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query_data_list_item_nos_url = f"http://{server_host}/jingbo-api/api/warehouse/dwDataItem/queryDataListItemNos"
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# 上传数据项值
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push_data_value_list_url = f"http://{server_host}/jingbo-dev/api/dw/dataValue/pushDataValueList"
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push_data_value_list_url = f"http://{server_host}/jingbo-api/api/dw/dataValue/pushDataValueList"
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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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"account": "api_dev",
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"password": "ZTEwYWRjMzk0OWJhNTlhYmJlNTZlMDU3ZjIwZjg4M2U=",
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"tenantHashCode": "8a4577dbd919675758d57999a1e891fe",
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"terminal": "API"
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},
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@ -111,45 +110,48 @@ login_data = {
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"funcOperation": "获取token"
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}
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upload_data = {
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"groupNo": '', # 用户组id
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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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"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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"groupNo":'', # 用户组id
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"ownerAccount":'27663', #报告所属用户账号 27663 - 刘小朋
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"reportType":'OIL_PRICE_FORECAST', # 报告类型，固定为OIL_PRICE_FORECAST
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"fileName": '', #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":"E40482" ,# 报告人 E40482 - 管理员 0000027663 - 刘小朋
|
||||
"reportDeptCode" :"002000621000", # 报告部门 - 002000621000 SH期货研究部
|
||||
"productGroupCode":"RAW_MATERIAL" # 商品分类
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
warning_data = {
|
||||
"groupNo": '', # 用户组id
|
||||
"funcModule": '原油特征停更预警',
|
||||
"funcOperation": '原油特征停更预警',
|
||||
"data": {
|
||||
'WARNING_TYPE_NAME': '特征数据停更预警',
|
||||
'WARNING_CONTENT': '',
|
||||
'WARNING_DATE': ''
|
||||
}
|
||||
"groupNo":'', # 用户组id
|
||||
"funcModule":'原油特征停更预警',
|
||||
"funcOperation":'原油特征停更预警',
|
||||
"data":{
|
||||
'WARNING_TYPE_NAME':'特征数据停更预警',
|
||||
'WARNING_CONTENT':'',
|
||||
'WARNING_DATE':''
|
||||
}
|
||||
}
|
||||
|
||||
query_data_list_item_nos_data = {
|
||||
"funcModule": "数据项",
|
||||
"funcOperation": "查询",
|
||||
"funcModule": "数据项",
|
||||
"funcOperation": "查询",
|
||||
"data": {
|
||||
"dateStart": "20200101",
|
||||
"dateEnd": "20241231",
|
||||
"dataItemNoList": ["Brentzdj", "Brentzgj"] # 数据项编码,代表 brent最低价和最高价
|
||||
"dateStart":"20200101",
|
||||
"dateEnd":"20241231",
|
||||
"dataItemNoList":["Brentzdj","Brentzgj"] # 数据项编码,代表 brent最低价和最高价
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
|
||||
push_data_value_list_data = {
|
||||
"funcModule": "数据表信息列表",
|
||||
"funcOperation": "新增",
|
||||
@ -173,26 +175,135 @@ push_data_value_list_data = {
|
||||
}
|
||||
# 八大维度数据项编码
|
||||
bdwd_items = {
|
||||
'ciri': 'yyycbdwdcr',
|
||||
'benzhou': 'yyycbdwdbz',
|
||||
'cizhou': 'yyycbdwdcz',
|
||||
'gezhou': 'yyycbdwdgz',
|
||||
'ciyue': 'yyycbdwdcy',
|
||||
'cieryue': 'yyycbdwdcey',
|
||||
'cisanyue': 'yyycbdwdcsy',
|
||||
'cisiyue': 'yyycbdwdcsiy',
|
||||
'ciri': '原油大数据预测|FORECAST|PRICE|T',
|
||||
'benzhou': '原油大数据预测|FORECAST|PRICE|W',
|
||||
'cizhou': '原油大数据预测|FORECAST|PRICE|W_1',
|
||||
'gezhou': '原油大数据预测|FORECAST|PRICE|W_2',
|
||||
'ciyue': '原油大数据预测|FORECAST|PRICE|M_1',
|
||||
'cieryue': '原油大数据预测|FORECAST|PRICE|M_2',
|
||||
'cisanyue': '原油大数据预测|FORECAST|PRICE|M_3',
|
||||
'cisiyue': '原油大数据预测|FORECAST|PRICE|M_4',
|
||||
}
|
||||
|
||||
|
||||
# 北京环境数据库
|
||||
host = '192.168.101.27'
|
||||
|
||||
|
||||
|
||||
# 生产环境数据库
|
||||
host = 'rm-2zehj3r1n60ttz9x5.mysql.rds.aliyuncs.com'
|
||||
port = 3306
|
||||
dbusername = 'root'
|
||||
password = '123456'
|
||||
dbname = 'jingbo_test'
|
||||
dbusername ='jingbo'
|
||||
password = 'shihua@123'
|
||||
dbname = 'jingbo'
|
||||
table_name = 'v_tbl_crude_oil_warning'
|
||||
|
||||
|
||||
|
||||
|
||||
# # 变量定义--测试环境
|
||||
# server_host = '192.168.100.53:8080' # 内网
|
||||
# # server_host = '183.242.74.28' # 外网
|
||||
# login_pushreport_url = f"http://{server_host}/jingbo-dev/api/server/login"
|
||||
# upload_url = f"http://{server_host}/jingbo-dev/api/analysis/reportInfo/researchUploadReportSave"
|
||||
# upload_warning_url = f"http://{server_host}/jingbo-dev/api/basicBuiness/crudeOilWarning/save"
|
||||
# query_data_list_item_nos_url = f"http://{server_host}/jingbo-dev/api/warehouse/dwDataItem/queryDataListItemNos"
|
||||
# # 上传数据项值
|
||||
# push_data_value_list_url = f"http://{server_host}/jingbo-dev/api/dw/dataValue/pushDataValueList"
|
||||
|
||||
# login_data = {
|
||||
# "data": {
|
||||
# "account": "api_test",
|
||||
# # "password": "MmVmNzNlOWI0MmY0ZDdjZGUwNzE3ZjFiMDJiZDZjZWU=", # Shihua@123456
|
||||
# "password": "ZTEwYWRjMzk0OWJhNTlhYmJlNTZlMDU3ZjIwZjg4M2U=", # 123456
|
||||
# "tenantHashCode": "8a4577dbd919675758d57999a1e891fe",
|
||||
# "terminal": "API"
|
||||
# },
|
||||
# "funcModule": "API",
|
||||
# "funcOperation": "获取token"
|
||||
# }
|
||||
|
||||
# upload_data = {
|
||||
# "groupNo": '', # 用户组id
|
||||
# "funcModule": '研究报告信息',
|
||||
# "funcOperation": '上传原油价格预测报告',
|
||||
# "data": {
|
||||
# "ownerAccount": 'arui', # 报告所属用户账号
|
||||
# "reportType": 'OIL_PRICE_FORECAST', # 报告类型，固定为OIL_PRICE_FORECAST
|
||||
# "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
|
||||
# "fileBase64": '', # 文件内容base64
|
||||
# "categoryNo": 'yyjgycbg', # 研究报告分类编码
|
||||
# "smartBusinessClassCode": 'YCJGYCBG', # 分析报告分类编码
|
||||
# "reportEmployeeCode": "E40116", # 报告人
|
||||
# "reportDeptCode": "D0044", # 报告部门
|
||||
# "productGroupCode": "RAW_MATERIAL" # 商品分类
|
||||
# }
|
||||
# }
|
||||
|
||||
|
||||
# warning_data = {
|
||||
# "groupNo": '', # 用户组id
|
||||
# "funcModule": '原油特征停更预警',
|
||||
# "funcOperation": '原油特征停更预警',
|
||||
# "data": {
|
||||
# 'WARNING_TYPE_NAME': '特征数据停更预警',
|
||||
# 'WARNING_CONTENT': '',
|
||||
# 'WARNING_DATE': ''
|
||||
# }
|
||||
# }
|
||||
|
||||
# query_data_list_item_nos_data = {
|
||||
# "funcModule": "数据项",
|
||||
# "funcOperation": "查询",
|
||||
# "data": {
|
||||
# "dateStart": "20200101",
|
||||
# "dateEnd": "20241231",
|
||||
# "dataItemNoList": ["Brentzdj", "Brentzgj"] # 数据项编码,代表 brent最低价和最高价
|
||||
# }
|
||||
# }
|
||||
|
||||
# push_data_value_list_data = {
|
||||
# "funcModule": "数据表信息列表",
|
||||
# "funcOperation": "新增",
|
||||
# "data": [
|
||||
# {"dataItemNo": "91230600716676129",
|
||||
# "dataDate": "20230113",
|
||||
# "dataStatus": "add",
|
||||
# "dataValue": 100.11
|
||||
# },
|
||||
# {"dataItemNo": "91230600716676129P|ETHYL_BEN|CAPACITY",
|
||||
# "dataDate": "20230113",
|
||||
# "dataStatus": "add",
|
||||
# "dataValue": 100.55
|
||||
# },
|
||||
# {"dataItemNo": "91230600716676129P|ETHYL_BEN|CAPACITY",
|
||||
# "dataDate": "20230113",
|
||||
# "dataStatus": "add",
|
||||
# "dataValue": 100.55
|
||||
# }
|
||||
# ]
|
||||
# }
|
||||
# # 八大维度数据项编码
|
||||
# bdwd_items = {
|
||||
# 'ciri': 'yyycbdwdcr',
|
||||
# 'benzhou': 'yyycbdwdbz',
|
||||
# 'cizhou': 'yyycbdwdcz',
|
||||
# 'gezhou': 'yyycbdwdgz',
|
||||
# 'ciyue': 'yyycbdwdcy',
|
||||
# 'cieryue': 'yyycbdwdcey',
|
||||
# 'cisanyue': 'yyycbdwdcsy',
|
||||
# 'cisiyue': 'yyycbdwdcsiy',
|
||||
# }
|
||||
|
||||
|
||||
# # 北京环境数据库
|
||||
# host = '192.168.101.27'
|
||||
# port = 3306
|
||||
# dbusername = 'root'
|
||||
# password = '123456'
|
||||
# dbname = 'jingbo_test'
|
||||
# table_name = 'v_tbl_crude_oil_warning'
|
||||
|
||||
|
||||
# 开关
|
||||
is_train = True # 是否训练
|
||||
is_debug = False # 是否调试
|
||||
|
||||
@ -89,22 +89,20 @@ data = {
|
||||
ClassifyId = 1214
|
||||
|
||||
|
||||
# 变量定义--测试环境
|
||||
server_host = '192.168.100.53:8080' # 内网
|
||||
# server_host = '183.242.74.28' # 外网
|
||||
|
||||
login_pushreport_url = f"http://{server_host}/jingbo-dev/api/server/login"
|
||||
upload_url = f"http://{server_host}/jingbo-dev/api/analysis/reportInfo/researchUploadReportSave"
|
||||
upload_warning_url = f"http://{server_host}/jingbo-dev/api/basicBuiness/crudeOilWarning/save"
|
||||
query_data_list_item_nos_url = f"http://{server_host}/jingbo-dev/api/warehouse/dwDataItem/queryDataListItemNos"
|
||||
################################################################################################################ 变量定义--线上环境
|
||||
server_host = '10.200.32.39'
|
||||
login_pushreport_url = "http://10.200.32.39/jingbo-api/api/server/login"
|
||||
upload_url = "http://10.200.32.39/jingbo-api/api/analysis/reportInfo/researchUploadReportSave"
|
||||
upload_warning_url = "http://10.200.32.39/jingbo-api/api/basicBuiness/crudeOilWarning/save"
|
||||
query_data_list_item_nos_url = f"http://{server_host}/jingbo-api/api/warehouse/dwDataItem/queryDataListItemNos"
|
||||
# 上传数据项值
|
||||
push_data_value_list_url = f"http://{server_host}/jingbo-dev/api/dw/dataValue/pushDataValueList"
|
||||
push_data_value_list_url = f"http://{server_host}/jingbo-api/api/dw/dataValue/pushDataValueList"
|
||||
|
||||
login_data = {
|
||||
"data": {
|
||||
"account": "api_test",
|
||||
# "password": "MmVmNzNlOWI0MmY0ZDdjZGUwNzE3ZjFiMDJiZDZjZWU=", # Shihua@123456
|
||||
"password": "ZTEwYWRjMzk0OWJhNTlhYmJlNTZlMDU3ZjIwZjg4M2U=", # 123456
|
||||
"account": "api_dev",
|
||||
"password": "ZTEwYWRjMzk0OWJhNTlhYmJlNTZlMDU3ZjIwZjg4M2U=",
|
||||
"tenantHashCode": "8a4577dbd919675758d57999a1e891fe",
|
||||
"terminal": "API"
|
||||
},
|
||||
@ -112,43 +110,48 @@ login_data = {
|
||||
"funcOperation": "获取token"
|
||||
}
|
||||
|
||||
|
||||
|
||||
upload_data = {
|
||||
"funcModule": '研究报告信息',
|
||||
"funcOperation": '上传原油价格预测报告',
|
||||
"data": {
|
||||
"ownerAccount": 'arui', # 报告所属用户账号
|
||||
"reportType": 'OIL_PRICE_FORECAST', # 报告类型，固定为OIL_PRICE_FORECAST
|
||||
"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
|
||||
"fileBase64": '', # 文件内容base64
|
||||
"categoryNo": 'yyjgycbg', # 研究报告分类编码
|
||||
"smartBusinessClassCode": 'YCJGYCBG', # 分析报告分类编码
|
||||
"reportEmployeeCode": "E40116", # 报告人
|
||||
"reportDeptCode": "D0044", # 报告部门
|
||||
"productGroupCode": "RAW_MATERIAL" # 商品分类
|
||||
}
|
||||
"funcModule":'研究报告信息',
|
||||
"funcOperation":'上传原油价格预测报告',
|
||||
"data":{
|
||||
"groupNo":'', # 用户组id
|
||||
"ownerAccount":'27663', #报告所属用户账号 27663 - 刘小朋
|
||||
"reportType":'OIL_PRICE_FORECAST', # 报告类型，固定为OIL_PRICE_FORECAST
|
||||
"fileName": '', #文件名称
|
||||
"fileBase64": '' ,#文件内容base64
|
||||
"categoryNo":'yyjgycbg', # 研究报告分类编码
|
||||
"smartBusinessClassCode":'YCJGYCBG', #分析报告分类编码
|
||||
"reportEmployeeCode":"E40482" ,# 报告人 E40482 - 管理员 0000027663 - 刘小朋
|
||||
"reportDeptCode" :"002000621000", # 报告部门 - 002000621000 SH期货研究部
|
||||
"productGroupCode":"RAW_MATERIAL" # 商品分类
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
warning_data = {
|
||||
"funcModule": '原油特征停更预警',
|
||||
"funcOperation": '原油特征停更预警',
|
||||
"data": {
|
||||
'WARNING_TYPE_NAME': '特征数据停更预警',
|
||||
'WARNING_CONTENT': '',
|
||||
'WARNING_DATE': ''
|
||||
}
|
||||
"groupNo":'', # 用户组id
|
||||
"funcModule":'原油特征停更预警',
|
||||
"funcOperation":'原油特征停更预警',
|
||||
"data":{
|
||||
'WARNING_TYPE_NAME':'特征数据停更预警',
|
||||
'WARNING_CONTENT':'',
|
||||
'WARNING_DATE':''
|
||||
}
|
||||
}
|
||||
|
||||
query_data_list_item_nos_data = {
|
||||
"funcModule": "数据项",
|
||||
"funcOperation": "查询",
|
||||
"funcModule": "数据项",
|
||||
"funcOperation": "查询",
|
||||
"data": {
|
||||
"dateStart": "20200101",
|
||||
"dateEnd": "20241231",
|
||||
"dataItemNoList": ["Brentzdj", "Brentzgj"] # 数据项编码,代表 brent最低价和最高价
|
||||
"dateStart":"20200101",
|
||||
"dateEnd":"20241231",
|
||||
"dataItemNoList":["Brentzdj","Brentzgj"] # 数据项编码,代表 brent最低价和最高价
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
|
||||
push_data_value_list_data = {
|
||||
"funcModule": "数据表信息列表",
|
||||
"funcOperation": "新增",
|
||||
@ -172,26 +175,132 @@ push_data_value_list_data = {
|
||||
}
|
||||
# 八大维度数据项编码
|
||||
bdwd_items = {
|
||||
'ciri': 'yyycbdwdcr',
|
||||
'benzhou': 'yyycbdwdbz',
|
||||
'cizhou': 'yyycbdwdcz',
|
||||
'gezhou': 'yyycbdwdgz',
|
||||
'ciyue': 'yyycbdwdcy',
|
||||
'cieryue': 'yyycbdwdcey',
|
||||
'cisanyue': 'yyycbdwdcsy',
|
||||
'cisiyue': 'yyycbdwdcsiy',
|
||||
'ciri': '原油大数据预测|FORECAST|PRICE|T',
|
||||
'benzhou': '原油大数据预测|FORECAST|PRICE|W',
|
||||
'cizhou': '原油大数据预测|FORECAST|PRICE|W_1',
|
||||
'gezhou': '原油大数据预测|FORECAST|PRICE|W_2',
|
||||
'ciyue': '原油大数据预测|FORECAST|PRICE|M_1',
|
||||
'cieryue': '原油大数据预测|FORECAST|PRICE|M_2',
|
||||
'cisanyue': '原油大数据预测|FORECAST|PRICE|M_3',
|
||||
'cisiyue': '原油大数据预测|FORECAST|PRICE|M_4',
|
||||
}
|
||||
|
||||
|
||||
# 北京环境数据库
|
||||
host = '192.168.101.27'
|
||||
# 生产环境数据库
|
||||
host = 'rm-2zehj3r1n60ttz9x5.mysql.rds.aliyuncs.com'
|
||||
port = 3306
|
||||
dbusername = 'root'
|
||||
password = '123456'
|
||||
dbname = 'jingbo_test'
|
||||
dbusername ='jingbo'
|
||||
password = 'shihua@123'
|
||||
dbname = 'jingbo'
|
||||
table_name = 'v_tbl_crude_oil_warning'
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
# # 变量定义--测试环境
|
||||
# server_host = '192.168.100.53:8080' # 内网
|
||||
# # server_host = '183.242.74.28' # 外网
|
||||
|
||||
# login_pushreport_url = f"http://{server_host}/jingbo-dev/api/server/login"
|
||||
# upload_url = f"http://{server_host}/jingbo-dev/api/analysis/reportInfo/researchUploadReportSave"
|
||||
# upload_warning_url = f"http://{server_host}/jingbo-dev/api/basicBuiness/crudeOilWarning/save"
|
||||
# query_data_list_item_nos_url = f"http://{server_host}/jingbo-dev/api/warehouse/dwDataItem/queryDataListItemNos"
|
||||
# # 上传数据项值
|
||||
# push_data_value_list_url = f"http://{server_host}/jingbo-dev/api/dw/dataValue/pushDataValueList"
|
||||
|
||||
# login_data = {
|
||||
# "data": {
|
||||
# "account": "api_test",
|
||||
# # "password": "MmVmNzNlOWI0MmY0ZDdjZGUwNzE3ZjFiMDJiZDZjZWU=", # Shihua@123456
|
||||
# "password": "ZTEwYWRjMzk0OWJhNTlhYmJlNTZlMDU3ZjIwZjg4M2U=", # 123456
|
||||
# "tenantHashCode": "8a4577dbd919675758d57999a1e891fe",
|
||||
# "terminal": "API"
|
||||
# },
|
||||
# "funcModule": "API",
|
||||
# "funcOperation": "获取token"
|
||||
# }
|
||||
|
||||
# upload_data = {
|
||||
# "funcModule": '研究报告信息',
|
||||
# "funcOperation": '上传原油价格预测报告',
|
||||
# "data": {
|
||||
# "ownerAccount": 'arui', # 报告所属用户账号
|
||||
# "reportType": 'OIL_PRICE_FORECAST', # 报告类型，固定为OIL_PRICE_FORECAST
|
||||
# "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
|
||||
# "fileBase64": '', # 文件内容base64
|
||||
# "categoryNo": 'yyjgycbg', # 研究报告分类编码
|
||||
# "smartBusinessClassCode": 'YCJGYCBG', # 分析报告分类编码
|
||||
# "reportEmployeeCode": "E40116", # 报告人
|
||||
# "reportDeptCode": "D0044", # 报告部门
|
||||
# "productGroupCode": "RAW_MATERIAL" # 商品分类
|
||||
# }
|
||||
# }
|
||||
|
||||
|
||||
# warning_data = {
|
||||
# "funcModule": '原油特征停更预警',
|
||||
# "funcOperation": '原油特征停更预警',
|
||||
# "data": {
|
||||
# 'WARNING_TYPE_NAME': '特征数据停更预警',
|
||||
# 'WARNING_CONTENT': '',
|
||||
# 'WARNING_DATE': ''
|
||||
# }
|
||||
# }
|
||||
|
||||
# query_data_list_item_nos_data = {
|
||||
# "funcModule": "数据项",
|
||||
# "funcOperation": "查询",
|
||||
# "data": {
|
||||
# "dateStart": "20200101",
|
||||
# "dateEnd": "20241231",
|
||||
# "dataItemNoList": ["Brentzdj", "Brentzgj"] # 数据项编码,代表 brent最低价和最高价
|
||||
# }
|
||||
# }
|
||||
|
||||
# push_data_value_list_data = {
|
||||
# "funcModule": "数据表信息列表",
|
||||
# "funcOperation": "新增",
|
||||
# "data": [
|
||||
# {"dataItemNo": "91230600716676129",
|
||||
# "dataDate": "20230113",
|
||||
# "dataStatus": "add",
|
||||
# "dataValue": 100.11
|
||||
# },
|
||||
# {"dataItemNo": "91230600716676129P|ETHYL_BEN|CAPACITY",
|
||||
# "dataDate": "20230113",
|
||||
# "dataStatus": "add",
|
||||
# "dataValue": 100.55
|
||||
# },
|
||||
# {"dataItemNo": "91230600716676129P|ETHYL_BEN|CAPACITY",
|
||||
# "dataDate": "20230113",
|
||||
# "dataStatus": "add",
|
||||
# "dataValue": 100.55
|
||||
# }
|
||||
# ]
|
||||
# }
|
||||
# # 八大维度数据项编码
|
||||
# bdwd_items = {
|
||||
# 'ciri': 'yyycbdwdcr',
|
||||
# 'benzhou': 'yyycbdwdbz',
|
||||
# 'cizhou': 'yyycbdwdcz',
|
||||
# 'gezhou': 'yyycbdwdgz',
|
||||
# 'ciyue': 'yyycbdwdcy',
|
||||
# 'cieryue': 'yyycbdwdcey',
|
||||
# 'cisanyue': 'yyycbdwdcsy',
|
||||
# 'cisiyue': 'yyycbdwdcsiy',
|
||||
# }
|
||||
|
||||
|
||||
# # 北京环境数据库
|
||||
# host = '192.168.101.27'
|
||||
# port = 3306
|
||||
# dbusername = 'root'
|
||||
# password = '123456'
|
||||
# dbname = 'jingbo_test'
|
||||
# table_name = 'v_tbl_crude_oil_warning'
|
||||
|
||||
|
||||
# 开关
|
||||
is_train = True # 是否训练
|
||||
is_debug = False # 是否调试
|
||||
|
||||
@ -2353,7 +2353,8 @@ def get_bdwd_predict_data():
|
||||
df2['date'] = df2['date'].dt.strftime('%Y-%m-%d')
|
||||
# df = pd.merge(df, df2, how='left', on='date')
|
||||
# 更改列名：
|
||||
df2.rename(columns={'yyycbdwdbz':'本周','yyycbdwdcey':'次二月','yyycbdwdcr':'次日','yyycbdwdcsiy':'次四月','yyycbdwdcsy':'次三月','yyycbdwdcy':'次月','yyycbdwdcz':'次周','yyycbdwdgz':'隔周',}, inplace=True)
|
||||
# df2.rename(columns={'yyycbdwdbz':'本周','yyycbdwdcey':'次二月','yyycbdwdcr':'次日','yyycbdwdcsiy':'次四月','yyycbdwdcsy':'次三月','yyycbdwdcy':'次月','yyycbdwdcz':'次周','yyycbdwdgz':'隔周',}, inplace=True)
|
||||
df2.rename(columns={'原油大数据预测|FORECAST|PRICE|W':'本周','原油大数据预测|FORECAST|PRICE|M_2':'次二月','原油大数据预测|FORECAST|PRICE|T':'次日','原油大数据预测|FORECAST|PRICE|M_4':'次四月','原油大数据预测|FORECAST|PRICE|M_3':'次三月','原油大数据预测|FORECAST|PRICE|M_1':'次月','原油大数据预测|FORECAST|PRICE|W_1':'次周','原油大数据预测|FORECAST|PRICE|W_2':'隔周',}, inplace=True)
|
||||
# 更改显示顺序
|
||||
df2 = df2[['date','次日','本周','次周','隔周','次月','次二月','次三月','次四月']]
|
||||
print(df2)
|
||||
|
||||
@ -51,6 +51,7 @@ global_config.update({
|
||||
'login_pushreport_url': login_pushreport_url,
|
||||
'login_data': login_data,
|
||||
'upload_url': upload_url,
|
||||
'upload_data': upload_data,
|
||||
'upload_warning_url': upload_warning_url,
|
||||
'warning_data': warning_data,
|
||||
|
||||
@ -99,6 +100,9 @@ def push_market_value():
|
||||
|
||||
# 取模型前十
|
||||
top_models = top_models_df['模型(Model)'].head(10).tolist()
|
||||
# 去掉FDBformer
|
||||
if 'FEDformer' in top_models:
|
||||
top_models.remove('FEDformer')
|
||||
|
||||
# 计算前十模型的均值
|
||||
predictdata_df['top_models_mean'] = predictdata_df[top_models].mean(axis=1)
|
||||
@ -449,3 +453,4 @@ if __name__ == '__main__':
|
||||
# predict_main()
|
||||
|
||||
predict_main()
|
||||
# push_market_value()
|
||||
|
||||
@ -98,7 +98,9 @@ def push_market_value():
|
||||
|
||||
# 取模型前十
|
||||
top_models = top_models_df['模型(Model)'].head(10).tolist()
|
||||
|
||||
# 去掉FDBformer
|
||||
if 'FEDformer' in top_models:
|
||||
top_models.remove('FEDformer')
|
||||
# 计算前十模型的均值
|
||||
predictdata_df['top_models_mean'] = predictdata_df[top_models].mean(axis=1)
|
||||
|
||||
|
||||
@ -97,7 +97,9 @@ def push_market_value():
|
||||
|
||||
# 取模型前十
|
||||
top_models = top_models_df['模型(Model)'].head(10).tolist()
|
||||
|
||||
# 去掉FDBformer
|
||||
if 'FEDformer' in top_models:
|
||||
top_models.remove('FEDformer')
|
||||
# 计算前十模型的均值
|
||||
predictdata_df['top_models_mean'] = predictdata_df[top_models].mean(axis=1)
|
||||
|
||||
|
||||
@ -243,6 +243,8 @@ def ex_Model(df, horizon, input_size, train_steps, val_check_steps, early_stop_p
|
||||
dates = df_predict['ds'].dt.strftime('%Y-%m-%d')
|
||||
|
||||
for m in modelsindex.keys():
|
||||
if m == 'FEDformer':
|
||||
continue
|
||||
list = []
|
||||
for date, value in zip(dates, df_predict[m].round(2)):
|
||||
list.append({'Date': date, 'Value': value})
|
||||
@ -2264,8 +2266,12 @@ def brent_export_pdf(num_indicators=475, num_models=21, num_dayindicator=202, in
|
||||
config.dataset, 'model_evaluation.csv'), encoding='utf-8')
|
||||
# 按评估指标排序，取前五
|
||||
fivemodels_list = eval_df['模型(Model)'].values # 列表形式，后面当作列名索引使用
|
||||
eval_models_list = fivemodels_list.tolist()
|
||||
# 去掉FEDformer
|
||||
if 'FEDformer' in eval_models_list:
|
||||
eval_models_list.remove('FEDformer')
|
||||
# 取 fivemodels_list 和 ds 列
|
||||
df = df[['ds'] + fivemodels_list.tolist()]
|
||||
df = df[['ds'] + eval_models_list]
|
||||
# 拼接预测日期对应的真实值
|
||||
df = pd.merge(df, df_true, on='ds', how='left')
|
||||
# 删除全部为nan的列
|
||||
@ -2496,16 +2502,16 @@ def brent_export_pdf(num_indicators=475, num_models=21, num_dayindicator=202, in
|
||||
config.dataset, reportname), pagesize=letter)
|
||||
doc.build(content)
|
||||
# pdf 上传到数字化信息平台
|
||||
# try:
|
||||
# if config.is_update_report:
|
||||
# with open(os.path.join(config.dataset, reportname), 'rb') as f:
|
||||
# base64_data = base64.b64encode(f.read()).decode('utf-8')
|
||||
# config.upload_data["data"]["fileBase64"] = base64_data
|
||||
# config.upload_data["data"]["fileName"] = reportname
|
||||
# token = get_head_auth_report()
|
||||
# upload_report_data(token, config.upload_data)
|
||||
# except TimeoutError as e:
|
||||
# print(f"请求超时: {e}")
|
||||
try:
|
||||
if config.is_update_report:
|
||||
with open(os.path.join(config.dataset, reportname), 'rb') as f:
|
||||
base64_data = base64.b64encode(f.read()).decode('utf-8')
|
||||
config.upload_data["data"]["fileBase64"] = base64_data
|
||||
config.upload_data["data"]["fileName"] = reportname
|
||||
token = get_head_auth_report()
|
||||
upload_report_data(token, config.upload_data)
|
||||
except TimeoutError as e:
|
||||
print(f"请求超时: {e}")
|
||||
|
||||
|
||||
@exception_logger
|
||||
|
||||
Loading…
Reference in New Issue
Block a user