From f10d04e661cd9ecfe726167e7fa117b840a650eb Mon Sep 17 00:00:00 2001 From: workpc Date: Fri, 8 Nov 2024 11:18:40 +0800 Subject: [PATCH] =?UTF-8?q?10.7=E5=8F=91=E7=89=88?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- config_jingbo.py | 123 +++++++++++++++--------------- jbsh_yuanyou线上数据库10.7备份.db | Bin 0 -> 69632 bytes main.py | 53 ++++++------- 原油预测定时任务，请勿关闭.py | 3 +- 4 files changed, 88 insertions(+), 91 deletions(-) create mode 100644 jbsh_yuanyou线上数据库10.7备份.db diff --git a/config_jingbo.py b/config_jingbo.py index 2f45bcc..5b6111b 100644 --- a/config_jingbo.py +++ b/config_jingbo.py @@ -86,50 +86,13 @@ ClassifyId = 1214 ### 报告上传配置 # 变量定义--线上环境 -# 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" - -# 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_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" login_data = { "data": { - "account": "api_test", - "password": "MmVmNzNlOWI0MmY0ZDdjZGUwNzE3ZjFiMDJiZDZjZWU=", + "account": "api_dev", + "password": "ZTEwYWRjMzk0OWJhNTlhYmJlNTZlMDU3ZjIwZjg4M2U=", "tenantHashCode": "8a4577dbd919675758d57999a1e891fe", "terminal": "API" }, @@ -137,48 +100,85 @@ 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 + "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": '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 "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 + "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 } } -### 线上开关 -# is_train = True # 是否训练 -# is_debug = False # 是否调试 -# is_eta = True # 是否使用eta接口 -# 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_edbcode = False # 特征使用edbcoding列表中的 -# is_edbnamelist = False # 自定义特征，对应上面的edbnamelist -# is_update_eta = True # 预测结果上传到eta -# is_update_report = True # 是否上传报告 -### 开关 +# # 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 is_train = True # 是否训练 is_debug = False # 是否调试 -is_eta = False # 是否使用eta接口 +is_eta = True # 是否使用eta接口 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_edbcode = False # 特征使用edbcoding列表中的 is_edbnamelist = False # 自定义特征，对应上面的edbnamelist -is_update_eta = False # 预测结果上传到eta -is_update_report = False # 是否上传报告 +is_update_eta = True # 预测结果上传到eta +is_update_report = True # 是否上传报告 + +### 开关 +# is_train = True # 是否训练 +# is_debug = False # 是否调试 +# is_eta = False # 是否使用eta接口 +# 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_edbcode = False # 特征使用edbcoding列表中的 +# is_edbnamelist = False # 自定义特征，对应上面的edbnamelist +# is_update_eta = False # 预测结果上传到eta +# is_update_report = False # 是否上传报告 # 数据截取日期 -end_time = '2024-10-28' # 数据截取日期 +end_time = '' # 数据截取日期 delweekenday = True is_corr = False # 特征是否参与滞后领先提升相关系数 add_kdj = False # 是否添加kdj指标 @@ -212,7 +212,8 @@ db_name = os.path.join(dataset,'jbsh_yuanyou.db') settings = f'{input_size}-{horizon}-{train_steps}--{k}-{data_set}-{y}' # 获取日期时间 -now = datetime.datetime.now().strftime('%Y%m%d%H%M%S') # 获取当前日期时间 +# now = datetime.datetime.now().strftime('%Y%m%d%H%M%S') # 获取当前日期时间 +now = datetime.datetime.now().strftime('%Y-%m-%d') # 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