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聚烯烃图片月度报告预测日期调整为月初

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This commit is contained in:
workpc 2025-08-18 16:23:06 +08:00
parent ae2dba7981
commit 38953fb51a
3 changed files with 45 additions and 38 deletions
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70
config_juxiting_yuedu.py
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@ -240,40 +240,40 @@ login_data = {
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": {
"groupNo":'', # 用户组id "groupNo": '', # 用户组id
"ownerAccount":'27663', #报告所属用户账号 27663 - 刘小朋 "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": '', #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":"E40482" ,# 报告人 E40482 - 管理员 0000027663 - 刘小朋 "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 "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',
"funcOperation":'原油特征停更预警', "funcOperation": '原油特征停更预警',
"data":{ "data": {
'WARNING_TYPE_NAME':'特征数据停更预警', 'WARNING_TYPE_NAME': '特征数据停更预警',
'WARNING_CONTENT':'', 'WARNING_CONTENT': '',
'WARNING_DATE':'' 'WARNING_DATE': ''
} }
} }
query_data_list_item_nos_data = { query_data_list_item_nos_data = {
"funcModule": "数据项", "funcModule": "数据项",
"funcOperation": "查询", "funcOperation": "查询",
"data": { "data": {
"dateStart":"20150101", "dateStart": "20150101",
"dateEnd":"20301231", "dateEnd": "20301231",
"dataItemNoList":["MAIN_CONFT_SETTLE_PRICE"] # 数据项编码,代表 brent最低价和最高价 "dataItemNoList": ["MAIN_CONFT_SETTLE_PRICE"] # 数据项编码,代表 brent最低价和最高价
} }
} }
@ -313,7 +313,6 @@ push_png_report_data = {
} }
# 八大维度数据项编码 # 八大维度数据项编码
bdwd_items = { bdwd_items = {
'ciri': '251889263|FORECAST|PRICE|T01', 'ciri': '251889263|FORECAST|PRICE|T01',
@ -338,7 +337,7 @@ columnsrename = {'251889263|FORECAST|PRICE|T05': '本周', '251889263|FORECAST|P
# 生产环境数据库 # 生产环境数据库
host = 'rm-2zehj3r1n60ttz9x5.mysql.rds.aliyuncs.com' host = 'rm-2zehj3r1n60ttz9x5.mysql.rds.aliyuncs.com'
port = 3306 port = 3306
dbusername ='jingbo' dbusername = 'jingbo'
password = 'shihua@123' password = 'shihua@123'
dbname = 'jingbo' dbname = 'jingbo'
table_name = 'v_tbl_crude_oil_warning' table_name = 'v_tbl_crude_oil_warning'
@ -442,7 +441,6 @@ table_name = 'v_tbl_crude_oil_warning'
# } # }
# # 八大维度数据项编码 # # 八大维度数据项编码
# bdwd_items = { # bdwd_items = {
# 'ciri': 'jxtppbdwdcr', # 'ciri': 'jxtppbdwdcr',
@ -460,12 +458,12 @@ table_name = 'v_tbl_crude_oil_warning'
# 'jxtppbdwdcsany': '次三月', 'jxtppbdwdcy': '次月', 'jxtppbdwdcz': '次周', 'jxtppbdwdgz': '隔周', } # 'jxtppbdwdcsany': '次三月', 'jxtppbdwdcy': '次月', 'jxtppbdwdcz': '次周', 'jxtppbdwdgz': '隔周', }
# 北京环境数据库 # 北京环境数据库
# host = '192.168.101.27' host = '192.168.101.27'
# port = 3306 port = 3306
# dbusername = 'root' dbusername = 'root'
# password = '123456' password = '123456'
# dbname = 'jingbo_test' dbname = 'jingbo_test'
# table_name = 'v_tbl_crude_oil_warning' table_name = 'v_tbl_crude_oil_warning'
DEFAULT_CONFIG = { DEFAULT_CONFIG = {
'feature_factor_frequency': 'D', 'feature_factor_frequency': 'D',

5
juxiting_push_png_report.py
View File

@ -116,9 +116,10 @@ if __name__ == '__main__':
# 图片报告 # 图片报告
try: try:
logger.info('图片报告ing') logger.info('图片报告ing')
global_config['end_time'] = '2025-08-14'
pp_bdwd_png(global_config=global_config) pp_bdwd_png(global_config=global_config)
logger.info('图片报告end') logger.info('图片报告end')
except Exception as e: except Exception as e:
logger.info(f'图片报告失败：{e}') logger.info(f'图片报告失败：{e}')
time.sleep(5) # time.sleep(5)
push_png_report() # push_png_report()

8
lib/tools.py
View File

@ -1114,6 +1114,14 @@ def plot_pp_predict_result(y_hat, global_config, wd='yuedu'):
if wd == 'yuedu': if wd == 'yuedu':
y = pd.read_csv(os.path.join( y = pd.read_csv(os.path.join(
global_config['dataset'], '指标数据.csv'))[['ds', 'y']][-12:] global_config['dataset'], '指标数据.csv'))[['ds', 'y']][-12:]
# 修改ds列的日为1日
print(y_hat)
y_hat['ds'] = pd.to_datetime(y_hat['ds'])
y_hat['ds'] = y_hat['ds'].dt.strftime('%Y-%m-01')
# ds 转换为日期类型
y_hat['ds'] = pd.to_datetime(y_hat['ds'])
print(y_hat)
xgx_df = pd.read_csv(os.path.join( xgx_df = pd.read_csv(os.path.join(
global_config['dataset'], '相关系数.csv')) global_config['dataset'], '相关系数.csv'))
title = 'PP期货月维度预测价格走势' title = 'PP期货月维度预测价格走势'