2025年7月1日发版
This commit is contained in:
workpc
parent
c85d11866f
commit
68ec1c8ffb
340
config_jingbo.py
340
config_jingbo.py
@ -93,163 +93,24 @@ data = {
|
|||||||
ClassifyId = 1214
|
ClassifyId = 1214
|
||||||
|
|
||||||
|
|
||||||
# # 变量定义--线上环境
|
# 变量定义--线上环境
|
||||||
# server_host = '10.200.32.39'
|
server_host = '10.200.32.39'
|
||||||
# login_pushreport_url = "http://10.200.32.39/jingbo-api/api/server/login"
|
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_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"
|
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"
|
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-api/api/dw/dataValue/pushDataValueList"
|
|
||||||
# # 上传停更数据到市场信息平台
|
|
||||||
# push_waring_data_value_list_url = f"http://{server_host}/jingbo-api/api/basicBuiness/crudeOilWarning/crudeSaveOrupdate"
|
|
||||||
# # 获取预警数据中取消订阅指标ID
|
|
||||||
# get_waring_data_value_list_url = f"http://{server_host}/jingbo-api/api/basicBuiness/crudeOilWarning/dataList"
|
|
||||||
|
|
||||||
|
|
||||||
# login_data = {
|
|
||||||
# "data": {
|
|
||||||
# "account": "api_dev",
|
|
||||||
# "password": "ZTEwYWRjMzk0OWJhNTlhYmJlNTZlMDU3ZjIwZjg4M2U=",
|
|
||||||
# "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": {
|
|
||||||
# "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 = {
|
|
||||||
# "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
|
|
||||||
# }
|
|
||||||
# ]
|
|
||||||
# }
|
|
||||||
|
|
||||||
|
|
||||||
# push_waring_data_value_list_data = {
|
|
||||||
# "data": {
|
|
||||||
# "crudeOilWarningDtoList": [
|
|
||||||
# {
|
|
||||||
# "lastUpdateDate": "20240501",
|
|
||||||
# "updateSuspensionCycle": 1,
|
|
||||||
# "dataSource": "8",
|
|
||||||
# "frequency": "1",
|
|
||||||
# "indicatorName": "美元指数",
|
|
||||||
# "indicatorId": "myzs001",
|
|
||||||
# "warningDate": "2024-05-13"
|
|
||||||
# }
|
|
||||||
# ],
|
|
||||||
# "dataSource": "8"
|
|
||||||
# },
|
|
||||||
# "funcModule": "商品数据同步",
|
|
||||||
# "funcOperation": "同步"
|
|
||||||
# }
|
|
||||||
|
|
||||||
|
|
||||||
# get_waring_data_value_list_data = {
|
|
||||||
# "data": "8", "funcModule": "商品数据同步", "funcOperation": "同步"}
|
|
||||||
|
|
||||||
|
|
||||||
# # 八大维度数据项编码
|
|
||||||
# bdwd_items = {
|
|
||||||
# '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',
|
|
||||||
# }
|
|
||||||
|
|
||||||
|
|
||||||
# # 生产环境数据库
|
|
||||||
# host = 'rm-2zehj3r1n60ttz9x5.mysql.rds.aliyuncs.com'
|
|
||||||
# port = 3306
|
|
||||||
# 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' # 内网
|
|
||||||
# server_host = '183.242.74.28' # 外网
|
|
||||||
login_pushreport_url = f"http://{server_host}:8080/jingbo-dev/api/server/login"
|
|
||||||
# 上传报告
|
|
||||||
upload_url = f"http://{server_host}:8080/jingbo-dev/api/analysis/reportInfo/researchUploadReportSave"
|
|
||||||
# 停更预警
|
|
||||||
upload_warning_url = f"http://{server_host}:8080/jingbo-dev/api/basicBuiness/crudeOilWarning/save"
|
|
||||||
# 查询数据项编码
|
|
||||||
query_data_list_item_nos_url = f"http://{server_host}:8080/jingbo-dev/api/warehouse/dwDataItem/queryDataListItemNos"
|
|
||||||
# 上传数据项值
|
# 上传数据项值
|
||||||
push_data_value_list_url = f"http://{server_host}:8080/jingbo-dev/api/dw/dataValue/pushDataValueList"
|
push_data_value_list_url = f"http://{server_host}/jingbo-api/api/dw/dataValue/pushDataValueList"
|
||||||
# 上传停更数据到市场信息平台
|
# 上传停更数据到市场信息平台
|
||||||
push_waring_data_value_list_url = f"http://{server_host}:8080/jingbo-dev/api/basicBuiness/crudeOilWarning/crudeSaveOrupdate"
|
push_waring_data_value_list_url = f"http://{server_host}/jingbo-api/api/basicBuiness/crudeOilWarning/crudeSaveOrupdate"
|
||||||
# 获取预警数据中取消订阅指标ID
|
# 获取预警数据中取消订阅指标ID
|
||||||
get_waring_data_value_list_url = f"http://{server_host}:8080/jingbo-dev/api/basicBuiness/crudeOilWarning/dataList"
|
get_waring_data_value_list_url = f"http://{server_host}/jingbo-api/api/basicBuiness/crudeOilWarning/dataList"
|
||||||
|
|
||||||
|
|
||||||
login_data = {
|
login_data = {
|
||||||
"data": {
|
"data": {
|
||||||
"account": "api_test",
|
"account": "api_dev",
|
||||||
# "password": "MmVmNzNlOWI0MmY0ZDdjZGUwNzE3ZjFiMDJiZDZjZWU=", # Shihua@123456
|
"password": "ZTEwYWRjMzk0OWJhNTlhYmJlNTZlMDU3ZjIwZjg4M2U=",
|
||||||
"password": "ZTEwYWRjMzk0OWJhNTlhYmJlNTZlMDU3ZjIwZjg4M2U=", # 123456
|
|
||||||
"tenantHashCode": "8a4577dbd919675758d57999a1e891fe",
|
"tenantHashCode": "8a4577dbd919675758d57999a1e891fe",
|
||||||
"terminal": "API"
|
"terminal": "API"
|
||||||
},
|
},
|
||||||
@ -257,25 +118,24 @@ login_data = {
|
|||||||
"funcOperation": "获取token"
|
"funcOperation": "获取token"
|
||||||
}
|
}
|
||||||
|
|
||||||
|
|
||||||
upload_data = {
|
upload_data = {
|
||||||
"groupNo": '', # 用户组id
|
|
||||||
"funcModule": '研究报告信息',
|
"funcModule": '研究报告信息',
|
||||||
"funcOperation": '上传原油价格预测报告',
|
"funcOperation": '上传原油价格预测报告',
|
||||||
"data": {
|
"data": {
|
||||||
"ownerAccount": 'arui', # 报告所属用户账号
|
"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
|
"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
|
"fileName": '', # 文件名称
|
||||||
"fileBase64": '', # 文件内容base64
|
"fileBase64": '', # 文件内容base64
|
||||||
"categoryNo": 'yyjgycbg', # 研究报告分类编码
|
"categoryNo": 'yyjgycbg', # 研究报告分类编码
|
||||||
"smartBusinessClassCode": 'YCJGYCBG', # 分析报告分类编码
|
"smartBusinessClassCode": 'YCJGYCBG', # 分析报告分类编码
|
||||||
"reportEmployeeCode": "E40116", # 报告人
|
"reportEmployeeCode": "E40482", # 报告人 E40482 - 管理员 0000027663 - 刘小朋
|
||||||
"reportDeptCode": "D0044", # 报告部门
|
"reportDeptCode": "002000621000", # 报告部门 - 002000621000 SH期货研究部
|
||||||
"productGroupCode": "RAW_MATERIAL" # 商品分类
|
"productGroupCode": "RAW_MATERIAL" # 商品分类
|
||||||
}
|
}
|
||||||
}
|
}
|
||||||
|
|
||||||
|
|
||||||
# 已弃用
|
|
||||||
warning_data = {
|
warning_data = {
|
||||||
"groupNo": '', # 用户组id
|
"groupNo": '', # 用户组id
|
||||||
"funcModule": '原油特征停更预警',
|
"funcModule": '原油特征停更预警',
|
||||||
@ -297,6 +157,7 @@ query_data_list_item_nos_data = {
|
|||||||
}
|
}
|
||||||
}
|
}
|
||||||
|
|
||||||
|
|
||||||
push_data_value_list_data = {
|
push_data_value_list_data = {
|
||||||
"funcModule": "数据表信息列表",
|
"funcModule": "数据表信息列表",
|
||||||
"funcOperation": "新增",
|
"funcOperation": "新增",
|
||||||
@ -319,6 +180,7 @@ push_data_value_list_data = {
|
|||||||
]
|
]
|
||||||
}
|
}
|
||||||
|
|
||||||
|
|
||||||
push_waring_data_value_list_data = {
|
push_waring_data_value_list_data = {
|
||||||
"data": {
|
"data": {
|
||||||
"crudeOilWarningDtoList": [
|
"crudeOilWarningDtoList": [
|
||||||
@ -342,27 +204,165 @@ push_waring_data_value_list_data = {
|
|||||||
get_waring_data_value_list_data = {
|
get_waring_data_value_list_data = {
|
||||||
"data": "8", "funcModule": "商品数据同步", "funcOperation": "同步"}
|
"data": "8", "funcModule": "商品数据同步", "funcOperation": "同步"}
|
||||||
|
|
||||||
|
|
||||||
# 八大维度数据项编码
|
# 八大维度数据项编码
|
||||||
bdwd_items = {
|
bdwd_items = {
|
||||||
'ciri': 'yyycbdwdcr',
|
'ciri': '原油大数据预测|FORECAST|PRICE|T',
|
||||||
'benzhou': 'yyycbdwdbz',
|
'benzhou': '原油大数据预测|FORECAST|PRICE|W',
|
||||||
'cizhou': 'yyycbdwdcz',
|
'cizhou': '原油大数据预测|FORECAST|PRICE|W_1',
|
||||||
'gezhou': 'yyycbdwdgz',
|
'gezhou': '原油大数据预测|FORECAST|PRICE|W_2',
|
||||||
'ciyue': 'yyycbdwdcy',
|
'ciyue': '原油大数据预测|FORECAST|PRICE|M_1',
|
||||||
'cieryue': 'yyycbdwdcey',
|
'cieryue': '原油大数据预测|FORECAST|PRICE|M_2',
|
||||||
'cisanyue': 'yyycbdwdcsy',
|
'cisanyue': '原油大数据预测|FORECAST|PRICE|M_3',
|
||||||
'cisiyue': 'yyycbdwdcsiy',
|
'cisiyue': '原油大数据预测|FORECAST|PRICE|M_4',
|
||||||
}
|
}
|
||||||
|
|
||||||
|
|
||||||
# 北京环境数据库
|
# 生产环境数据库
|
||||||
host = '192.168.101.27'
|
host = 'rm-2zehj3r1n60ttz9x5.mysql.rds.aliyuncs.com'
|
||||||
port = 3306
|
port = 3306
|
||||||
dbusername = 'root'
|
dbusername = 'jingbo'
|
||||||
password = '123456'
|
password = 'shihua@123'
|
||||||
dbname = 'jingbo_test'
|
dbname = 'jingbo'
|
||||||
table_name = 'v_tbl_crude_oil_warning'
|
table_name = 'v_tbl_crude_oil_warning'
|
||||||
|
|
||||||
|
|
||||||
|
# # # 变量定义--测试环境
|
||||||
|
# server_host = '192.168.100.53' # 内网
|
||||||
|
# # server_host = '183.242.74.28' # 外网
|
||||||
|
# login_pushreport_url = f"http://{server_host}:8080/jingbo-dev/api/server/login"
|
||||||
|
# # 上传报告
|
||||||
|
# upload_url = f"http://{server_host}:8080/jingbo-dev/api/analysis/reportInfo/researchUploadReportSave"
|
||||||
|
# # 停更预警
|
||||||
|
# upload_warning_url = f"http://{server_host}:8080/jingbo-dev/api/basicBuiness/crudeOilWarning/save"
|
||||||
|
# # 查询数据项编码
|
||||||
|
# query_data_list_item_nos_url = f"http://{server_host}:8080/jingbo-dev/api/warehouse/dwDataItem/queryDataListItemNos"
|
||||||
|
# # 上传数据项值
|
||||||
|
# push_data_value_list_url = f"http://{server_host}:8080/jingbo-dev/api/dw/dataValue/pushDataValueList"
|
||||||
|
# # 上传停更数据到市场信息平台
|
||||||
|
# push_waring_data_value_list_url = f"http://{server_host}:8080/jingbo-dev/api/basicBuiness/crudeOilWarning/crudeSaveOrupdate"
|
||||||
|
# # 获取预警数据中取消订阅指标ID
|
||||||
|
# get_waring_data_value_list_url = f"http://{server_host}:8080/jingbo-dev/api/basicBuiness/crudeOilWarning/dataList"
|
||||||
|
|
||||||
|
|
||||||
|
# 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
|
||||||
|
# }
|
||||||
|
# }
|
||||||
|
|
||||||
|
|
||||||
|
# # 已弃用
|
||||||
|
# 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
|
||||||
|
# }
|
||||||
|
# ]
|
||||||
|
# }
|
||||||
|
|
||||||
|
# push_waring_data_value_list_data = {
|
||||||
|
# "data": {
|
||||||
|
# "crudeOilWarningDtoList": [
|
||||||
|
# {
|
||||||
|
# "lastUpdateDate": "20240501",
|
||||||
|
# "updateSuspensionCycle": 1,
|
||||||
|
# "dataSource": "8",
|
||||||
|
# "frequency": "1",
|
||||||
|
# "indicatorName": "美元指数",
|
||||||
|
# "indicatorId": "myzs001",
|
||||||
|
# "warningDate": "2024-05-13"
|
||||||
|
# }
|
||||||
|
# ],
|
||||||
|
# "dataSource": "8"
|
||||||
|
# },
|
||||||
|
# "funcModule": "商品数据同步",
|
||||||
|
# "funcOperation": "同步"
|
||||||
|
# }
|
||||||
|
|
||||||
|
|
||||||
|
# get_waring_data_value_list_data = {
|
||||||
|
# "data": "8", "funcModule": "商品数据同步", "funcOperation": "同步"}
|
||||||
|
|
||||||
|
# # 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'
|
||||||
|
|
||||||
DEFAULT_CONFIG = {
|
DEFAULT_CONFIG = {
|
||||||
'feature_factor_frequency': 'D',
|
'feature_factor_frequency': 'D',
|
||||||
'strategy_id': 1,
|
'strategy_id': 1,
|
||||||
|
|||||||
@ -172,131 +172,19 @@ data = {
|
|||||||
ClassifyId = 1214
|
ClassifyId = 1214
|
||||||
|
|
||||||
|
|
||||||
# # 变量定义--线上环境
|
# 变量定义--线上环境
|
||||||
# server_host = '10.200.32.39'
|
server_host = '10.200.32.39'
|
||||||
# login_pushreport_url = "http://10.200.32.39/jingbo-api/api/server/login"
|
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_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"
|
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"
|
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-api/api/dw/dataValue/pushDataValueList"
|
|
||||||
|
|
||||||
# login_data = {
|
|
||||||
# "data": {
|
|
||||||
# "account": "api_dev",
|
|
||||||
# "password": "ZTEwYWRjMzk0OWJhNTlhYmJlNTZlMDU3ZjIwZjg4M2U=",
|
|
||||||
# "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": {
|
|
||||||
# "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 = {
|
|
||||||
# "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': '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',
|
|
||||||
# }
|
|
||||||
|
|
||||||
# # 报告中八大维度数据项重命名
|
|
||||||
# columnsrename = {
|
|
||||||
# '原油大数据预测|FORECAST|PRICE|T': '次日', '原油大数据预测|FORECAST|PRICE|W': '本周',
|
|
||||||
# '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',
|
|
||||||
# '原油大数据预测|FORECAST|PRICE|M_1': '次月', '原油大数据预测|FORECAST|PRICE|M_2': '次二月',
|
|
||||||
# '原油大数据预测|FORECAST|PRICE|M_3': '次三月', '原油大数据预测|FORECAST|PRICE|M_4': '次四月'
|
|
||||||
# }
|
|
||||||
|
|
||||||
# # 生产环境数据库
|
|
||||||
# host = 'rm-2zehj3r1n60ttz9x5.mysql.rds.aliyuncs.com'
|
|
||||||
# port = 3306
|
|
||||||
# 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
|
# 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 = {
|
login_data = {
|
||||||
"data": {
|
"data": {
|
||||||
"account": "api_test",
|
"account": "api_dev",
|
||||||
# "password": "MmVmNzNlOWI0MmY0ZDdjZGUwNzE3ZjFiMDJiZDZjZWU=", # Shihua@123456
|
"password": "ZTEwYWRjMzk0OWJhNTlhYmJlNTZlMDU3ZjIwZjg4M2U=",
|
||||||
"password": "ZTEwYWRjMzk0OWJhNTlhYmJlNTZlMDU3ZjIwZjg4M2U=", # 123456
|
|
||||||
"tenantHashCode": "8a4577dbd919675758d57999a1e891fe",
|
"tenantHashCode": "8a4577dbd919675758d57999a1e891fe",
|
||||||
"terminal": "API"
|
"terminal": "API"
|
||||||
},
|
},
|
||||||
@ -304,24 +192,24 @@ login_data = {
|
|||||||
"funcOperation": "获取token"
|
"funcOperation": "获取token"
|
||||||
}
|
}
|
||||||
|
|
||||||
|
|
||||||
upload_data = {
|
upload_data = {
|
||||||
"groupNo": '', # 用户组id
|
|
||||||
"funcModule": '研究报告信息',
|
"funcModule": '研究报告信息',
|
||||||
"funcOperation": '上传原油价格预测报告',
|
"funcOperation": '上传原油价格预测报告',
|
||||||
"data": {
|
"data": {
|
||||||
"ownerAccount": 'arui', # 报告所属用户账号
|
"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
|
"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
|
"fileName": '', # 文件名称
|
||||||
"fileBase64": '', # 文件内容base64
|
"fileBase64": '', # 文件内容base64
|
||||||
"categoryNo": 'yyjgycbg', # 研究报告分类编码
|
"categoryNo": 'yyjgycbg', # 研究报告分类编码
|
||||||
"smartBusinessClassCode": 'YCJGYCBG', # 分析报告分类编码
|
"smartBusinessClassCode": 'YCJGYCBG', # 分析报告分类编码
|
||||||
"reportEmployeeCode": "E40116", # 报告人
|
"reportEmployeeCode": "E40482", # 报告人 E40482 - 管理员 0000027663 - 刘小朋
|
||||||
"reportDeptCode": "D0044", # 报告部门
|
"reportDeptCode": "002000621000", # 报告部门 - 002000621000 SH期货研究部
|
||||||
"productGroupCode": "RAW_MATERIAL" # 商品分类
|
"productGroupCode": "RAW_MATERIAL" # 商品分类
|
||||||
}
|
}
|
||||||
}
|
}
|
||||||
|
|
||||||
|
|
||||||
warning_data = {
|
warning_data = {
|
||||||
"groupNo": '', # 用户组id
|
"groupNo": '', # 用户组id
|
||||||
"funcModule": '原油特征停更预警',
|
"funcModule": '原油特征停更预警',
|
||||||
@ -343,6 +231,7 @@ query_data_list_item_nos_data = {
|
|||||||
}
|
}
|
||||||
}
|
}
|
||||||
|
|
||||||
|
|
||||||
push_data_value_list_data = {
|
push_data_value_list_data = {
|
||||||
"funcModule": "数据表信息列表",
|
"funcModule": "数据表信息列表",
|
||||||
"funcOperation": "新增",
|
"funcOperation": "新增",
|
||||||
@ -366,27 +255,138 @@ push_data_value_list_data = {
|
|||||||
}
|
}
|
||||||
# 八大维度数据项编码
|
# 八大维度数据项编码
|
||||||
bdwd_items = {
|
bdwd_items = {
|
||||||
'ciri': 'yyycbdwdcr',
|
'ciri': '原油大数据预测|FORECAST|PRICE|T',
|
||||||
'benzhou': 'yyycbdwdbz',
|
'benzhou': '原油大数据预测|FORECAST|PRICE|W',
|
||||||
'cizhou': 'yyycbdwdcz',
|
'cizhou': '原油大数据预测|FORECAST|PRICE|W_1',
|
||||||
'gezhou': 'yyycbdwdgz',
|
'gezhou': '原油大数据预测|FORECAST|PRICE|W_2',
|
||||||
'ciyue': 'yyycbdwdcy',
|
'ciyue': '原油大数据预测|FORECAST|PRICE|M_1',
|
||||||
'cieryue': 'yyycbdwdcey',
|
'cieryue': '原油大数据预测|FORECAST|PRICE|M_2',
|
||||||
'cisanyue': 'yyycbdwdcsy',
|
'cisanyue': '原油大数据预测|FORECAST|PRICE|M_3',
|
||||||
'cisiyue': 'yyycbdwdcsiy',
|
'cisiyue': '原油大数据预测|FORECAST|PRICE|M_4',
|
||||||
}
|
}
|
||||||
|
|
||||||
# 报告中八大维度数据项重命名
|
# 报告中八大维度数据项重命名
|
||||||
columnsrename = {'yyycbdwdbz': '本周', 'yyycbdwdcey': '次二月', 'yyycbdwdcr': '次日', 'yyycbdwdcsiy': '次四月',
|
columnsrename = {
|
||||||
'yyycbdwdcsy': '次三月', 'yyycbdwdcy': '次月', 'yyycbdwdcz': '次周', 'yyycbdwdgz': '隔周', }
|
'原油大数据预测|FORECAST|PRICE|T': '次日', '原油大数据预测|FORECAST|PRICE|W': '本周',
|
||||||
# 北京环境数据库
|
'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',
|
||||||
host = '192.168.101.27'
|
'原油大数据预测|FORECAST|PRICE|M_1': '次月', '原油大数据预测|FORECAST|PRICE|M_2': '次二月',
|
||||||
|
'原油大数据预测|FORECAST|PRICE|M_3': '次三月', '原油大数据预测|FORECAST|PRICE|M_4': '次四月'
|
||||||
|
}
|
||||||
|
|
||||||
|
# 生产环境数据库
|
||||||
|
host = 'rm-2zehj3r1n60ttz9x5.mysql.rds.aliyuncs.com'
|
||||||
port = 3306
|
port = 3306
|
||||||
dbusername = 'root'
|
dbusername = 'jingbo'
|
||||||
password = '123456'
|
password = 'shihua@123'
|
||||||
dbname = 'jingbo_test'
|
dbname = 'jingbo'
|
||||||
table_name = 'v_tbl_crude_oil_warning'
|
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',
|
||||||
|
# }
|
||||||
|
|
||||||
|
# # 报告中八大维度数据项重命名
|
||||||
|
# columnsrename = {'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', }
|
||||||
|
# # 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'
|
||||||
|
|
||||||
DEFAULT_CONFIG = {
|
DEFAULT_CONFIG = {
|
||||||
'feature_factor_frequency': 'D',
|
'feature_factor_frequency': 'D',
|
||||||
'strategy_id': 1,
|
'strategy_id': 1,
|
||||||
|
|||||||
@ -119,125 +119,19 @@ data = {
|
|||||||
ClassifyId = 1214
|
ClassifyId = 1214
|
||||||
|
|
||||||
|
|
||||||
# # 变量定义--线上环境
|
# 变量定义--线上环境
|
||||||
# server_host = '10.200.32.39'
|
server_host = '10.200.32.39'
|
||||||
# login_pushreport_url = "http://10.200.32.39/jingbo-api/api/server/login"
|
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_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"
|
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"
|
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-api/api/dw/dataValue/pushDataValueList"
|
|
||||||
|
|
||||||
# login_data = {
|
|
||||||
# "data": {
|
|
||||||
# "account": "api_dev",
|
|
||||||
# "password": "ZTEwYWRjMzk0OWJhNTlhYmJlNTZlMDU3ZjIwZjg4M2U=",
|
|
||||||
# "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": {
|
|
||||||
# "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 = {
|
|
||||||
# "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': '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',
|
|
||||||
# }
|
|
||||||
|
|
||||||
|
|
||||||
# # 生产环境数据库
|
|
||||||
# host = 'rm-2zehj3r1n60ttz9x5.mysql.rds.aliyuncs.com'
|
|
||||||
# port = 3306
|
|
||||||
# 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
|
# 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 = {
|
login_data = {
|
||||||
"data": {
|
"data": {
|
||||||
"account": "api_test",
|
"account": "api_dev",
|
||||||
# "password": "MmVmNzNlOWI0MmY0ZDdjZGUwNzE3ZjFiMDJiZDZjZWU=", # Shihua@123456
|
"password": "ZTEwYWRjMzk0OWJhNTlhYmJlNTZlMDU3ZjIwZjg4M2U=",
|
||||||
"password": "ZTEwYWRjMzk0OWJhNTlhYmJlNTZlMDU3ZjIwZjg4M2U=", # 123456
|
|
||||||
"tenantHashCode": "8a4577dbd919675758d57999a1e891fe",
|
"tenantHashCode": "8a4577dbd919675758d57999a1e891fe",
|
||||||
"terminal": "API"
|
"terminal": "API"
|
||||||
},
|
},
|
||||||
@ -245,24 +139,26 @@ login_data = {
|
|||||||
"funcOperation": "获取token"
|
"funcOperation": "获取token"
|
||||||
}
|
}
|
||||||
|
|
||||||
|
|
||||||
upload_data = {
|
upload_data = {
|
||||||
"funcModule": '研究报告信息',
|
"funcModule": '研究报告信息',
|
||||||
"funcOperation": '上传原油价格预测报告',
|
"funcOperation": '上传原油价格预测报告',
|
||||||
"data": {
|
"data": {
|
||||||
"ownerAccount": 'arui', # 报告所属用户账号
|
"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
|
"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
|
"fileName": '', # 文件名称
|
||||||
"fileBase64": '', # 文件内容base64
|
"fileBase64": '', # 文件内容base64
|
||||||
"categoryNo": 'yyjgycbg', # 研究报告分类编码
|
"categoryNo": 'yyjgycbg', # 研究报告分类编码
|
||||||
"smartBusinessClassCode": 'YCJGYCBG', # 分析报告分类编码
|
"smartBusinessClassCode": 'YCJGYCBG', # 分析报告分类编码
|
||||||
"reportEmployeeCode": "E40116", # 报告人
|
"reportEmployeeCode": "E40482", # 报告人 E40482 - 管理员 0000027663 - 刘小朋
|
||||||
"reportDeptCode": "D0044", # 报告部门
|
"reportDeptCode": "002000621000", # 报告部门 - 002000621000 SH期货研究部
|
||||||
"productGroupCode": "RAW_MATERIAL" # 商品分类
|
"productGroupCode": "RAW_MATERIAL" # 商品分类
|
||||||
}
|
}
|
||||||
}
|
}
|
||||||
|
|
||||||
|
|
||||||
warning_data = {
|
warning_data = {
|
||||||
|
"groupNo": '', # 用户组id
|
||||||
"funcModule": '原油特征停更预警',
|
"funcModule": '原油特征停更预警',
|
||||||
"funcOperation": '原油特征停更预警',
|
"funcOperation": '原油特征停更预警',
|
||||||
"data": {
|
"data": {
|
||||||
@ -282,6 +178,7 @@ query_data_list_item_nos_data = {
|
|||||||
}
|
}
|
||||||
}
|
}
|
||||||
|
|
||||||
|
|
||||||
push_data_value_list_data = {
|
push_data_value_list_data = {
|
||||||
"funcModule": "数据表信息列表",
|
"funcModule": "数据表信息列表",
|
||||||
"funcOperation": "新增",
|
"funcOperation": "新增",
|
||||||
@ -305,26 +202,129 @@ push_data_value_list_data = {
|
|||||||
}
|
}
|
||||||
# 八大维度数据项编码
|
# 八大维度数据项编码
|
||||||
bdwd_items = {
|
bdwd_items = {
|
||||||
'ciri': 'yyycbdwdcr',
|
'ciri': '原油大数据预测|FORECAST|PRICE|T',
|
||||||
'benzhou': 'yyycbdwdbz',
|
'benzhou': '原油大数据预测|FORECAST|PRICE|W',
|
||||||
'cizhou': 'yyycbdwdcz',
|
'cizhou': '原油大数据预测|FORECAST|PRICE|W_1',
|
||||||
'gezhou': 'yyycbdwdgz',
|
'gezhou': '原油大数据预测|FORECAST|PRICE|W_2',
|
||||||
'ciyue': 'yyycbdwdcy',
|
'ciyue': '原油大数据预测|FORECAST|PRICE|M_1',
|
||||||
'cieryue': 'yyycbdwdcey',
|
'cieryue': '原油大数据预测|FORECAST|PRICE|M_2',
|
||||||
'cisanyue': 'yyycbdwdcsy',
|
'cisanyue': '原油大数据预测|FORECAST|PRICE|M_3',
|
||||||
'cisiyue': 'yyycbdwdcsiy',
|
'cisiyue': '原油大数据预测|FORECAST|PRICE|M_4',
|
||||||
}
|
}
|
||||||
|
|
||||||
|
|
||||||
# 北京环境数据库
|
# 生产环境数据库
|
||||||
host = '192.168.101.27'
|
host = 'rm-2zehj3r1n60ttz9x5.mysql.rds.aliyuncs.com'
|
||||||
port = 3306
|
port = 3306
|
||||||
dbusername = 'root'
|
dbusername = 'jingbo'
|
||||||
password = '123456'
|
password = 'shihua@123'
|
||||||
dbname = 'jingbo_test'
|
dbname = 'jingbo'
|
||||||
table_name = 'v_tbl_crude_oil_warning'
|
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'
|
||||||
|
|
||||||
|
|
||||||
DEFAULT_CONFIG = {
|
DEFAULT_CONFIG = {
|
||||||
'feature_factor_frequency': 'D',
|
'feature_factor_frequency': 'D',
|
||||||
'strategy_id': 1,
|
'strategy_id': 1,
|
||||||
|
|||||||
@ -581,11 +581,11 @@ def predict_main():
|
|||||||
if __name__ == '__main__':
|
if __name__ == '__main__':
|
||||||
# global end_time
|
# global end_time
|
||||||
# # 遍历2024-11-25 到 2024-12-3 之间的工作日日期
|
# # 遍历2024-11-25 到 2024-12-3 之间的工作日日期
|
||||||
for i_time in pd.date_range('2025-6-11', '2025-6-28', freq='B'):
|
# for i_time in pd.date_range('2025-6-19', '2025-6-28', freq='B'):
|
||||||
global_config['end_time'] = i_time.strftime('%Y-%m-%d')
|
# global_config['end_time'] = i_time.strftime('%Y-%m-%d')
|
||||||
global_config['db_mysql'].connect()
|
# global_config['db_mysql'].connect()
|
||||||
predict_main()
|
|
||||||
|
|
||||||
# predict_main()
|
# predict_main()
|
||||||
|
|
||||||
|
predict_main()
|
||||||
# push_market_value()
|
# push_market_value()
|
||||||
# sql_inset_predict(global_config=global_config)
|
# sql_inset_predict(global_config=global_config)
|
||||||
|
|||||||
@ -473,44 +473,44 @@ def predict_main():
|
|||||||
# except Exception as e:
|
# except Exception as e:
|
||||||
# logger.info(f'更新accuracy表的y值失败：{e}')
|
# logger.info(f'更新accuracy表的y值失败：{e}')
|
||||||
|
|
||||||
# 判断当前日期是不是周一
|
# # 判断当前日期是不是周一
|
||||||
is_weekday = datetime.datetime.now().weekday() == 0
|
# is_weekday = datetime.datetime.now().weekday() == 0
|
||||||
if is_weekday:
|
# if is_weekday:
|
||||||
logger.info('今天是周一，更新预测模型')
|
# logger.info('今天是周一，更新预测模型')
|
||||||
# 计算最近60天预测残差最低的模型名称
|
# # 计算最近60天预测残差最低的模型名称
|
||||||
model_results = sqlitedb.select_data(
|
# model_results = sqlitedb.select_data(
|
||||||
'trueandpredict', order_by="ds DESC", limit="60")
|
# 'trueandpredict', order_by="ds DESC", limit="60")
|
||||||
# 删除空值率为90%以上的列
|
# # 删除空值率为90%以上的列
|
||||||
if len(model_results) > 10:
|
# if len(model_results) > 10:
|
||||||
model_results = model_results.dropna(
|
# model_results = model_results.dropna(
|
||||||
thresh=len(model_results)*0.1, axis=1)
|
# thresh=len(model_results)*0.1, axis=1)
|
||||||
# 删除空行
|
# # 删除空行
|
||||||
model_results = model_results.dropna()
|
# model_results = model_results.dropna()
|
||||||
modelnames = model_results.columns.to_list()[2:-1]
|
# modelnames = model_results.columns.to_list()[2:-1]
|
||||||
for col in model_results[modelnames].select_dtypes(include=['object']).columns:
|
# for col in model_results[modelnames].select_dtypes(include=['object']).columns:
|
||||||
model_results[col] = model_results[col].astype(np.float32)
|
# model_results[col] = model_results[col].astype(np.float32)
|
||||||
# 计算每个预测值与真实值之间的偏差率
|
# # 计算每个预测值与真实值之间的偏差率
|
||||||
for model in modelnames:
|
# for model in modelnames:
|
||||||
model_results[f'{model}_abs_error_rate'] = abs(
|
# model_results[f'{model}_abs_error_rate'] = abs(
|
||||||
model_results['y'] - model_results[model]) / model_results['y']
|
# model_results['y'] - model_results[model]) / model_results['y']
|
||||||
# 获取每行对应的最小偏差率值
|
# # 获取每行对应的最小偏差率值
|
||||||
min_abs_error_rate_values = model_results.apply(
|
# min_abs_error_rate_values = model_results.apply(
|
||||||
lambda row: row[[f'{model}_abs_error_rate' for model in modelnames]].min(), axis=1)
|
# lambda row: row[[f'{model}_abs_error_rate' for model in modelnames]].min(), axis=1)
|
||||||
# 获取每行对应的最小偏差率值对应的列名
|
# # 获取每行对应的最小偏差率值对应的列名
|
||||||
min_abs_error_rate_column_name = model_results.apply(
|
# min_abs_error_rate_column_name = model_results.apply(
|
||||||
lambda row: row[[f'{model}_abs_error_rate' for model in modelnames]].idxmin(), axis=1)
|
# lambda row: row[[f'{model}_abs_error_rate' for model in modelnames]].idxmin(), axis=1)
|
||||||
# 将列名索引转换为列名
|
# # 将列名索引转换为列名
|
||||||
min_abs_error_rate_column_name = min_abs_error_rate_column_name.map(
|
# min_abs_error_rate_column_name = min_abs_error_rate_column_name.map(
|
||||||
lambda x: x.split('_')[0])
|
# lambda x: x.split('_')[0])
|
||||||
# 取出现次数最多的模型名称
|
# # 取出现次数最多的模型名称
|
||||||
most_common_model = min_abs_error_rate_column_name.value_counts().idxmax()
|
# most_common_model = min_abs_error_rate_column_name.value_counts().idxmax()
|
||||||
logger.info(f"最近60天预测残差最低的模型名称：{most_common_model}")
|
# logger.info(f"最近60天预测残差最低的模型名称：{most_common_model}")
|
||||||
# 保存结果到数据库
|
# # 保存结果到数据库
|
||||||
if not sqlitedb.check_table_exists('most_model'):
|
# if not sqlitedb.check_table_exists('most_model'):
|
||||||
sqlitedb.create_table(
|
# sqlitedb.create_table(
|
||||||
'most_model', columns="ds datetime, most_common_model TEXT")
|
# 'most_model', columns="ds datetime, most_common_model TEXT")
|
||||||
sqlitedb.insert_data('most_model', (datetime.datetime.now().strftime(
|
# sqlitedb.insert_data('most_model', (datetime.datetime.now().strftime(
|
||||||
'%Y-%m-%d %H:%M:%S'), most_common_model,), columns=('ds', 'most_common_model',))
|
# '%Y-%m-%d %H:%M:%S'), most_common_model,), columns=('ds', 'most_common_model',))
|
||||||
|
|
||||||
if is_corr:
|
if is_corr:
|
||||||
df = corr_feature(df=df)
|
df = corr_feature(df=df)
|
||||||
@ -590,13 +590,10 @@ def predict_main():
|
|||||||
if __name__ == '__main__':
|
if __name__ == '__main__':
|
||||||
# global end_time
|
# global end_time
|
||||||
# 遍历2024-11-25 到 2024-12-3 之间的工作日日期
|
# 遍历2024-11-25 到 2024-12-3 之间的工作日日期
|
||||||
# for i_time in pd.date_range('2025-3-13', '2025-3-31', freq='B'):
|
for i_time in pd.date_range('2025-6-4', '2025-6-30', freq='B'):
|
||||||
# try:
|
global_config['end_time'] = i_time.strftime('%Y-%m-%d')
|
||||||
# global_config['end_time'] = i_time.strftime('%Y-%m-%d')
|
global_config['db_mysql'].connect()
|
||||||
# predict_main()
|
predict_main()
|
||||||
# except Exception as e:
|
|
||||||
# logger.info(f'预测失败：{e}')
|
|
||||||
# continue
|
|
||||||
|
|
||||||
# predict_main()
|
# predict_main()
|
||||||
sql_inset_predict(global_config=global_config)
|
# sql_inset_predict(global_config=global_config)
|
||||||
|
|||||||
@ -383,44 +383,44 @@ def predict_main():
|
|||||||
# except Exception as e:
|
# except Exception as e:
|
||||||
# logger.info(f'更新accuracy表的y值失败：{e}')
|
# logger.info(f'更新accuracy表的y值失败：{e}')
|
||||||
|
|
||||||
# 判断当前日期是不是周一
|
# 判断当前日期是不是周一 预测目标周度许转换，暂注释
|
||||||
is_weekday = datetime.datetime.now().weekday() == 0
|
# is_weekday = datetime.datetime.strptime(global_config['end_time'], "%Y-%m-%d").weekday() == 0
|
||||||
if is_weekday:
|
# if is_weekday:
|
||||||
logger.info('今天是周一，更新预测模型')
|
# logger.info('今天是周一，更新预测模型')
|
||||||
# 计算最近60天预测残差最低的模型名称
|
# # 计算最近60天预测残差最低的模型名称
|
||||||
model_results = sqlitedb.select_data(
|
# model_results = sqlitedb.select_data(
|
||||||
'trueandpredict', order_by="ds DESC", limit="60")
|
# 'trueandpredict', order_by="ds DESC", limit="60")
|
||||||
# 删除空值率为90%以上的列
|
# # 删除空值率为90%以上的列
|
||||||
if len(model_results) > 10:
|
# if len(model_results) > 10:
|
||||||
model_results = model_results.dropna(
|
# model_results = model_results.dropna(
|
||||||
thresh=len(model_results)*0.1, axis=1)
|
# thresh=len(model_results)*0.1, axis=1)
|
||||||
# 删除空行
|
# # 删除空行
|
||||||
model_results = model_results.dropna()
|
# model_results = model_results.dropna()
|
||||||
modelnames = model_results.columns.to_list()[2:-2]
|
# modelnames = model_results.columns.to_list()[2:-2]
|
||||||
for col in model_results[modelnames].select_dtypes(include=['object']).columns:
|
# for col in model_results[modelnames].select_dtypes(include=['object']).columns:
|
||||||
model_results[col] = model_results[col].astype(np.float32)
|
# model_results[col] = model_results[col].astype(np.float32)
|
||||||
# 计算每个预测值与真实值之间的偏差率
|
# # 计算每个预测值与真实值之间的偏差率
|
||||||
for model in modelnames:
|
# for model in modelnames:
|
||||||
model_results[f'{model}_abs_error_rate'] = abs(
|
# model_results[f'{model}_abs_error_rate'] = abs(
|
||||||
model_results['y'] - model_results[model]) / model_results['y']
|
# model_results['y'] - model_results[model]) / model_results['y']
|
||||||
# 获取每行对应的最小偏差率值
|
# # 获取每行对应的最小偏差率值
|
||||||
min_abs_error_rate_values = model_results.apply(
|
# min_abs_error_rate_values = model_results.apply(
|
||||||
lambda row: row[[f'{model}_abs_error_rate' for model in modelnames]].min(), axis=1)
|
# lambda row: row[[f'{model}_abs_error_rate' for model in modelnames]].min(), axis=1)
|
||||||
# 获取每行对应的最小偏差率值对应的列名
|
# # 获取每行对应的最小偏差率值对应的列名
|
||||||
min_abs_error_rate_column_name = model_results.apply(
|
# min_abs_error_rate_column_name = model_results.apply(
|
||||||
lambda row: row[[f'{model}_abs_error_rate' for model in modelnames]].idxmin(), axis=1)
|
# lambda row: row[[f'{model}_abs_error_rate' for model in modelnames]].idxmin(), axis=1)
|
||||||
# 将列名索引转换为列名
|
# # 将列名索引转换为列名
|
||||||
min_abs_error_rate_column_name = min_abs_error_rate_column_name.map(
|
# min_abs_error_rate_column_name = min_abs_error_rate_column_name.map(
|
||||||
lambda x: x.split('_')[0])
|
# lambda x: x.split('_')[0])
|
||||||
# 取出现次数最多的模型名称
|
# # 取出现次数最多的模型名称
|
||||||
most_common_model = min_abs_error_rate_column_name.value_counts().idxmax()
|
# most_common_model = min_abs_error_rate_column_name.value_counts().idxmax()
|
||||||
logger.info(f"最近60天预测残差最低的模型名称：{most_common_model}")
|
# logger.info(f"最近60天预测残差最低的模型名称：{most_common_model}")
|
||||||
# 保存结果到数据库
|
# # 保存结果到数据库
|
||||||
if not sqlitedb.check_table_exists('most_model'):
|
# if not sqlitedb.check_table_exists('most_model'):
|
||||||
sqlitedb.create_table(
|
# sqlitedb.create_table(
|
||||||
'most_model', columns="ds datetime, most_common_model TEXT")
|
# 'most_model', columns="ds datetime, most_common_model TEXT")
|
||||||
sqlitedb.insert_data('most_model', (datetime.datetime.now().strftime(
|
# sqlitedb.insert_data('most_model', (datetime.datetime.now().strftime(
|
||||||
'%Y-%m-%d %H:%M:%S'), most_common_model,), columns=('ds', 'most_common_model',))
|
# '%Y-%m-%d %H:%M:%S'), most_common_model,), columns=('ds', 'most_common_model',))
|
||||||
|
|
||||||
if is_corr:
|
if is_corr:
|
||||||
df = corr_feature(df=df)
|
df = corr_feature(df=df)
|
||||||
@ -492,13 +492,10 @@ def predict_main():
|
|||||||
if __name__ == '__main__':
|
if __name__ == '__main__':
|
||||||
# global end_time
|
# global end_time
|
||||||
# 遍历2024-11-25 到 2024-12-3 之间的工作日日期
|
# 遍历2024-11-25 到 2024-12-3 之间的工作日日期
|
||||||
# for i_time in pd.date_range('2025-2-1', '2025-3-31', freq='B'):
|
for i_time in pd.date_range('2025-6-23', '2025-6-30', freq='B'):
|
||||||
# try:
|
global_config['end_time'] = i_time.strftime('%Y-%m-%d')
|
||||||
# global_config['end_time'] = i_time.strftime('%Y-%m-%d')
|
global_config['db_mysql'].connect()
|
||||||
# predict_main()
|
predict_main()
|
||||||
# except Exception as e:
|
|
||||||
# logger.info(f'预测失败：{e}')
|
|
||||||
# continue
|
|
||||||
|
|
||||||
# predict_main()
|
# predict_main()
|
||||||
sql_inset_predict(global_config=global_config)
|
# sql_inset_predict(global_config=global_config)
|
||||||
|
|||||||
Loading…
Reference in New Issue
Block a user