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聚烯烃配置

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workpc 2025-02-11 08:53:51 +08:00
parent 76fb3c8b51
commit 5c3b9f8639
5 changed files with 55 additions and 52 deletions
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2
config_jingbo.py
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@ -161,7 +161,7 @@ table_name = 'v_tbl_crude_oil_warning'
### 开关 ### 开关
is_train = False # 是否训练 is_train = False # 是否训练
is_debug = False # 是否调试 is_debug = False # 是否调试
is_eta = True # 是否使用eta接口 is_eta = False # 是否使用eta接口
is_market = True # 是否通过市场信息平台获取特征 ,在is_eta 为true 的情况下生效 is_market = True # 是否通过市场信息平台获取特征 ,在is_eta 为true 的情况下生效
is_timefurture = True # 是否使用时间特征 is_timefurture = True # 是否使用时间特征
is_fivemodels = False # 是否使用之前保存的最佳的5个模型 is_fivemodels = False # 是否使用之前保存的最佳的5个模型

2
config_jingbo_pro.py
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@ -95,7 +95,7 @@ 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-dev/api/warehouse/dwDataItem/queryDataListItemNos" query_data_list_item_nos_url = f"http://{server_host}/jingbo-api/api/warehouse/dwDataItem/queryDataListItemNos"
login_data = { login_data = {
"data": { "data": {

95
config_juxiting.py
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@ -32,7 +32,8 @@ edbcodelist = ['ID01385938','lmcads03 lme comdty',
'M0066351', 'M0066351',
'S0266372', 'S0266372',
'S0266438', 'S0266438',
'S0266506'] 'S0266506',
'ID01384463']
# 临时写死用指定的列,与上面的edbcode对应，后面更改 # 临时写死用指定的列,与上面的edbcode对应，后面更改
edbnamelist = [ edbnamelist = [
@ -53,10 +54,12 @@ edbnamelist = [
'PP连续-1月', 'PP连续-1月',
'PP连续-5月', 'PP连续-5月',
'PP连续-9月', 'PP连续-9月',
'PP：拉丝：L5E89：出厂价：华北（第二区域）：内蒙古久泰新材料（日）'
] ]
edbcodenamedict = { edbcodenamedict = {
'ID01385938':'PP：拉丝：1102K：市场价：青州：国家能源宁煤（日）', 'ID01385938':'PP：拉丝：1102K：市场价：青州：国家能源宁煤（日）',
'ID01384463':'PP：拉丝：L5E89：出厂价：华北（第二区域）：内蒙古久泰新材料（日）',
'lmcads03 lme comdty':'LME铜价', 'lmcads03 lme comdty':'LME铜价',
'GC1 COMB Comdty':'黄金连1合约', 'GC1 COMB Comdty':'黄金连1合约',
'C2404171822':'Brent-WTI', 'C2404171822':'Brent-WTI',
@ -128,51 +131,14 @@ ClassifyId = 1161
### 报告上传配置 ### 报告上传配置
# 变量定义--线上环境 # 变量定义--线上环境
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/dw/dataValue/pushDataValueList" # upload_url = "http://10.200.32.39/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":{
"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
}
}
# # 变量定义--测试环境
# login_pushreport_url = "http://192.168.100.53:8080/jingbo-dev/api/server/login"
# upload_url = "http://192.168.100.53:8080/jingbo-dev/api/analysis/reportInfo/researchUploadReportSave"
# # upload_url = "http://192.168.100.109:8080/jingbo/api/analysis/reportInfo/researchUploadReportSave" # zhaoqiwei
# login_data = { # login_data = {
# "data": { # "data": {
# "account": "api_test", # "account": "api_dev",
# "password": "MmVmNzNlOWI0MmY0ZDdjZGUwNzE3ZjFiMDJiZDZjZWU=", # "password": "ZTEwYWRjMzk0OWJhNTlhYmJlNTZlMDU3ZjIwZjg4M2U=",
# "tenantHashCode": "8a4577dbd919675758d57999a1e891fe", # "tenantHashCode": "8a4577dbd919675758d57999a1e891fe",
# "terminal": "API" # "terminal": "API"
# }, # },
@ -180,23 +146,60 @@ upload_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 # "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
# } # }
# } # }
# # 变量定义--测试环境
login_pushreport_url = "http://192.168.100.53:8080/jingbo-dev/api/server/login"
upload_url = "http://192.168.100.53:8080/jingbo-dev/api/analysis/reportInfo/researchUploadReportSave"
# upload_url = "http://192.168.100.109:8080/jingbo/api/analysis/reportInfo/researchUploadReportSave" # zhaoqiwei
login_data = {
"data": {
"account": "api_test",
"password": "MmVmNzNlOWI0MmY0ZDdjZGUwNzE3ZjFiMDJiZDZjZWU=",
"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
}
}
### 线上开关 ### 线上开关
# is_train = True # 是否训练 # is_train = True # 是否训练
# is_debug = False # 是否调试 # is_debug = False # 是否调试

4
lib/dataread.py
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@ -41,9 +41,9 @@ plt.rcParams['font.sans-serif'] = ['SimHei'] # 用来正常显示中文标签
plt.rcParams['axes.unicode_minus'] = False # 用来正常显示负号 plt.rcParams['axes.unicode_minus'] = False # 用来正常显示负号
# from config_jingbo_pro import * # from config_jingbo_pro import *
from config_jingbo import * # from config_jingbo import *
# from config_yongan import * # from config_yongan import *
# from config_juxiting import * from config_juxiting import *

2
main_yuanyou.py
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@ -291,7 +291,7 @@ if __name__ == '__main__':
# global end_time # global end_time
# is_on = True # is_on = True
# # 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('2024-11-4', '2024-12-13', freq='B'): # for i_time in pd.date_range('2025-1-20', '2025-2-6', freq='B'):
# end_time = i_time.strftime('%Y-%m-%d') # end_time = i_time.strftime('%Y-%m-%d')
# predict_main() # predict_main()