石油焦日度，周度，月度配置新增自建指标id
This commit is contained in:
jingboyitiji
parent
46adadb042
commit
f1adebfa0d
@ -139,8 +139,31 @@ edbnamelist = ['ds', 'y']+[edbcodenamedict[edbcodename]
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for edbcodename in edbcodelist]
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for edbcodename in edbcodelist]
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# eta自有数据指标编码，石油焦铝用还没新增，暂且留空
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# eta自有数据指标编码，石油焦铝用还没新增，暂且留空
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modelsindex = {
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modelsindex = [{
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}
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"NHITS":"SELF0000363",
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"Informer":"SELF0000364",
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"LSTM":"SELF0000365",
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"iTransformer":"SELF0000366",
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"TSMixer":"SELF0000367",
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"TSMixerx":"SELF0000368",
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"PatchTST":"SELF0000369",
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"RNN":"SELF0000370",
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"GRU":"SELF0000371",
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"TCN":"SELF0000372",
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"BiTCN":"SELF0000373",
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"DilatedRNN":"SELF0000374",
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"MLP":"SELF0000375",
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"DLinear":"SELF0000376",
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"NLinear":"SELF0000377",
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"TFT":"SELF0000378",
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"FEDformer":"SELF0000379",
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"StemGNN":"SELF0000380",
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"MLPMultivariate":"SELF0000381",
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"TiDE":"SELF0000382",
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"DeepNPTS":"SELF0000383",
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"NBEATS":"SELF0000384",
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}]
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# 百川数据指标编码
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# 百川数据指标编码
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baichuanidnamedict = {
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baichuanidnamedict = {
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617
config_shiyoujiao_lvyong_yuedu.py
Normal file
617
config_shiyoujiao_lvyong_yuedu.py
Normal file
@ -0,0 +1,617 @@
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import logging
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import os
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import logging.handlers
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import datetime
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from lib.tools import MySQLDB, SQLiteHandler
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# eta 接口token
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APPID = "XNLDvxZHHugj7wJ7"
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SECRET = "iSeU4s6cKKBVbt94htVY1p0sqUMqb2xa"
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# eta 接口url
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sourcelisturl = 'http://10.189.2.78:8108/v1/edb/source/list'
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classifylisturl = 'http://10.189.2.78:8108/v1/edb/classify/list?ClassifyType='
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uniquecodedataurl = 'http://10.189.2.78:8108/v1/edb/data?UniqueCode=4991c37becba464609b409909fe4d992&StartDate=2024-02-01'
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classifyidlisturl = 'http://10.189.2.78:8108/v1/edb/list?ClassifyId='
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edbcodedataurl = 'http://10.189.2.78:8108/v1/edb/data?EdbCode='
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edbdatapushurl = 'http://10.189.2.78:8108/v1/edb/push'
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edbdeleteurl = 'http://10.189.2.78:8108/v1/edb/business/edb/del'
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edbbusinessurl = 'http://10.189.2.78:8108/v1/edb/business/data/del'
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edbcodenamedict = {
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'C2403283369': '预赔阳极加工利润（高端）',
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'C2403285560': '预培阳极加工利润（低端）',
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'C2403288616': '低硫石油焦煅烧利润',
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'S6949656': '平均价：氧化铝：一级：全国',
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'S5807052': '氧化铝：一级：贵阳',
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'S5443355': '市场价：煤沥青：河北地区',
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'S5443357': '市场价：煤沥青：山西地区',
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'W000294': '国内主要港口石油焦出货量（隆重）',
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'W000293': '日照港库存（隆重）',
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'W000292': '港口总库存（隆重）',
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'W000283': '主营石油焦产量（隆重）',
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'W000282': '地炼石油焦产量（隆重）',
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'W000281': '中国石油焦产量（隆重）',
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'W000280': '主营石油焦开工负荷率（隆重）',
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'W000279': '地炼石油焦开工负荷率（隆重）',
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'ID00150273': '石油焦：1 # ：市场低端价：东北地区（日）',
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'ID00150281': '石油焦：1 # ：市场主流价：东北地区（日）',
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'ID00150277': '石油焦：1 # ：市场高端价：东北地区（日）',
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'ID00150289': '石油焦：2 # ：市场低端价：华东地区（日）',
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'ID00150285': '石油焦：2 # ：市场低端价：西北地区（日）',
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'ID00150313': '石油焦：2 # ：市场主流价：华东地区（日）',
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'ID00150309': '石油焦：2 # ：市场主流价：西北地区（日）',
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'ID00150301': '石油焦：2 # ：市场高端价：华东地区（日）',
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'ID00150297': '石油焦：2 # ：市场高端价：西北地区（日）',
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'ID00150321': '石油焦：2 # A：市场低端价：山东（日）',
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'ID00150329': '石油焦：2 # A：市场主流价：山东（日）',
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'ID00150325': '石油焦：2 # A：市场高端价：山东（日）',
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'ID00150337': '石油焦：2 # B：市场低端价：华南地区（日）',
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'ID00150341': '石油焦：2 # B：市场低端价：华中地区（日）',
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'ID00150361': '石油焦：2 # B：市场主流价：华南地区（日）',
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'ID00150365': '石油焦：2 # B：市场主流价：华中地区（日）',
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'ID00150349': '石油焦：2 # B：市场高端价：华南地区（日）',
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'ID00150353': '石油焦：2 # B：市场高端价：华中地区（日）',
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'ID00150333': '石油焦：2 # B：市场低端价：山东（日）',
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'ID00150357': '石油焦：2 # B：市场主流价：山东（日）',
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'ID00150345': '石油焦：2 # B：市场高端价：山东（日）',
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'ID00150369': '石油焦：3 # ：市场低端价：华中地区（日）',
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'ID00150373': '石油焦：3 # ：市场高端价：华中地区（日）',
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'ID00150385': '石油焦：3 # A：市场高端价：山东（日）',
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'ID00150393': '石油焦：3 # B：市场低端价：华东地区（日）',
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'ID00150409': '石油焦：3 # B：市场主流价：华东地区（日）',
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'ID00150401': '石油焦：3 # B：市场高端价：华东地区（日）',
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'ID00146589': '海绵焦：4 # ：出厂价：华中地区：洛阳石化（日）',
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'ID01242846': '石油焦：4 # B：挂牌价：华北地区：中石化燕山（日）',
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'ID01300358': '石油焦：3 # C：市场低端价：山东（日）',
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'ID01300357': '石油焦：3 # C：市场高端价：山东（日）',
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'ID00150377': '石油焦：3 # ：市场主流价：华中地区（日）',
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'ID01387643': '煅烧焦：低硫：0.5 % S：市场价：东北地区（日）',
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'ID01387646': '煅烧焦：低硫：3.5 % S：市场价：东北地区（日）',
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'ID01387660': '煅烧焦：中硫：3 % S，400V：市场价：山东（日）',
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'ID00150381': '石油焦：3 # A：市场低端价：山东（日）',
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'ID00150397': '石油焦：3 # B：市场低端价：山东（日）',
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'ID00150405': '石油焦：3 # B：市场高端价：山东（日）',
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'ID00146545': '海绵焦：3B：出厂价：山东：山东东明（日）',
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'B3e90b34e4b9e7a6ea3': '石油焦市场均价(元/吨)',
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'B6b5c53b270a3af12ac': '石油焦1 # 市场均价(元/吨)',
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'B10721189a11c209a20': '石油焦2 # 市场均价(元/吨)',
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'B6accfa9d2bf4735a50': '石油焦3 # 市场均价(元/吨)',
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'B8a0ab5357569c385a9': '石油焦海绵焦市场均价(元/吨)',
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'B19dcf45e22fbfd3e43': '石油焦海绵焦东北1 # A焦（低端）(元/吨)（百川）',
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'B5832a62d1e0fba50b6': '石油焦海绵焦东北1 # A焦（高端）(元/吨)（百川）',
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'B1de4fba026d4609cc7': '石油焦海绵焦东北1 # B焦（低端）(元/吨)（百川）',
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'B38f89180736172490d': '石油焦海绵焦东北1 # B焦（高端）(元/吨)（百川）',
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'B4f847871674c3d77f2': '石油焦海绵焦山东地炼1 # -3#焦（低端）(元/吨)',
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'B1aefb8a64a5200adbd': '石油焦海绵焦山东地炼1 # -3#焦（高端）(元/吨)',
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'B1df7d0afbfedfb628a': '煅烧焦东北低硫(高端S < 0.5)(元/吨)',
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'B5f8f9859635876da28': '煅烧焦东北低硫(低端S < 0.5)(元/吨)',
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'B2342a8c5a39fa00348': '煅烧焦华北中硫(高端S < 3.0，钒 < 400)(元/吨)',
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'B051f27900397c6a35f': '煅烧焦山东中硫(高端S < 3.0，钒 < 400)(元/吨)',
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'Be2a8050a48e86cae1f': '煅烧焦华东中硫(高端S < 3.0，钒 < 400)(元/吨)',
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'B4a1811938f85065f6a': '煅烧焦华中中硫(高端S < 3.0，钒 < 400)(元/吨)',
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'Bc197d4834ef7fb98ec': '煅烧焦华东高硫(高端S < 3.5，钒 < 400)(元/吨)',
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'B62be5dbdb8c6454530': '煅烧焦低硫参考价格(元/吨)（百川）',
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'Bdd813140bffc4edfa6': '煅烧焦中硫微量市场均价(元/吨)（百川）',
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'B185a597decfc71915a': '预焙阳极山东低端(元/吨)（百川）',
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'B1bcde6130de031bd42': '山西 改质沥青(元/吨)',
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'Bb9f4a1f6dd32b4ad8a': '山东 改质沥青(元/吨)',
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'C2411261557491549': '石油焦市场均价(元/吨)/4DMA',
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'C2411271143174617': '石油焦市场均价(元/吨)/9DMA',
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'ID01387649': '煅烧焦：中硫：3 % S，350V：市场价：华东地区（日）',
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'ID01387655': '煅烧焦：中硫：3 % S，350V：市场价：山东（日）',
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'RE00010076': '煅烧焦：低硫：生产毛利：东北地区（周）',
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'B9d1acaf80383683da3': '石油焦总产量（周）(吨)',
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'Bdaa719a38936c8dd76': '石油焦开工率（周）( % )',
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'B9459d549a332b200e7': '石油焦行业总库存（周）(吨)',
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'Bce6e098b9518370cff': '石油焦工厂库存（周）(吨)',
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'B577ce2809772779710': '石油焦市场库存（周）(吨)',
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'B5d8c564c62f3e6b77f': '石油焦成本（周）(吨)',
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'B43baa98bcaa06c11a5': '石油焦利润（周）(吨)',
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'Bdd0c1361d94081211c': '煅烧石油焦总产量（周）(吨)',
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'B65315111fa28951b1e': '煅烧石油焦开工率（周）( % )',
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'B2aff5f2632a20027d0': '煅烧石油焦行业总库存（周）(吨)',
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'B29fbd31128cd71b212': '煅烧石油焦工厂库存（周）(吨)',
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'B7a88313a89d1261c53': '煅烧石油焦成本（周）(吨)',
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'Bd4fa36b4decec0aafa': '煅烧石油焦利润（周）(吨)',
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'B9bd80eac7df81ffbd4': '预焙阳极总产量（周）(吨)',
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'B27074786605f4660d2': '预焙阳极开工率（周）( % )',
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'Bdc2a5985ecb56b6a0c': '预焙阳极行业总库存（周）(吨)',
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'Bce8511f899e487e5b6': '预焙阳极工厂库存（周）(吨)',
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'B13ec89105bd866a2bd': '预焙阳极成本（周）(吨)',
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'B66c3abcfa15a2e611c': '预焙阳极利润（周）(吨)',
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'Bf7efe3200f9abc0453': '电解铝开工率（周）( % )',
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'Be193166f347267b1a7': '电解铝行业总库存（周）(吨)',
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'Baa744fc97769353175': '电解铝工厂库存（周）(吨)',
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'Bf9654603913cfc5282': '电解铝市场库存（周）(吨)',
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'Bef1535c96da0d70fbc': '电解铝利润（周）(吨)',
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'B7d1d0b24316d49cbdc': '煤沥青总产量（周）(吨)',
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'B4303fb002ea1c214da': '煤沥青开工率（周）( % )',
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'Be9a470c97e9efe660c': '煤沥青行业总库存（周）(吨)',
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'B50d4d87f6b78bca587': '煤沥青工厂库存（周）(吨)',
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'B46cc7d0a90155b5bfd': '煅烧焦山东高硫(高端S < 3.5，普货)(元/吨)'
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}
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edbcodelist = edbcodenamedict.keys()
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# 临时写死用指定的列,与上面的edbcode对应，后面更改
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edbnamelist = ['ds', 'y']+[edbcodenamedict[edbcodename]
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for edbcodename in edbcodelist]
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# eta自有数据指标编码，石油焦铝用还没新增，暂且留空
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# eta自有数据指标编码 次周,隔周
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bdwdname = [
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'次月',
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'次二月',
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'次三月',
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'次四月',
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]
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modelsindex = [{"NHITS":"SELF0000451",
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"Informer":"SELF0000452",
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"LSTM":"SELF0000453",
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"iTransformer":"SELF0000454",
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"TSMixer":"SELF0000455",
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"TSMixerx":"SELF0000456",
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"PatchTST":"SELF0000457",
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"RNN":"SELF0000458",
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"GRU":"SELF0000459",
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"TCN":"SELF0000460",
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"BiTCN":"SELF0000461",
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"DilatedRNN":"SELF0000462",
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"MLP":"SELF0000463",
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"DLinear":"SELF0000464",
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"NLinear":"SELF0000465",
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"TFT":"SELF0000466",
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"FEDformer":"SELF0000467",
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"StemGNN":"SELF0000468",
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"MLPMultivariate":"SELF0000469",
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"TiDE":"SELF0000470",
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"DeepNPTS":"SELF0000471",
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"NBEATS":"SELF0000472",
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},{"NHITS":"SELF0000473",
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"Informer":"SELF0000474",
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"LSTM":"SELF0000475",
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"iTransformer":"SELF0000476",
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"TSMixer":"SELF0000477",
|
||||||
|
"TSMixerx":"SELF0000478",
|
||||||
|
"PatchTST":"SELF0000479",
|
||||||
|
"RNN":"SELF0000480",
|
||||||
|
"GRU":"SELF0000481",
|
||||||
|
"TCN":"SELF0000482",
|
||||||
|
"BiTCN":"SELF0000483",
|
||||||
|
"DilatedRNN":"SELF0000484",
|
||||||
|
"MLP":"SELF0000485",
|
||||||
|
"DLinear":"SELF0000486",
|
||||||
|
"NLinear":"SELF0000487",
|
||||||
|
"TFT":"SELF0000488",
|
||||||
|
"FEDformer":"SELF0000489",
|
||||||
|
"StemGNN":"SELF0000490",
|
||||||
|
"MLPMultivariate":"SELF0000491",
|
||||||
|
"TiDE":"SELF0000492",
|
||||||
|
"DeepNPTS":"SELF0000493",
|
||||||
|
"NBEATS":"SELF0000494",
|
||||||
|
},{"NHITS":"SELF0000495",
|
||||||
|
"Informer":"SELF0000496",
|
||||||
|
"LSTM":"SELF0000497",
|
||||||
|
"iTransformer":"SELF0000498",
|
||||||
|
"TSMixer":"SELF0000499",
|
||||||
|
"TSMixerx":"SELF0000500",
|
||||||
|
"PatchTST":"SELF0000501",
|
||||||
|
"RNN":"SELF0000502",
|
||||||
|
"GRU":"SELF0000503",
|
||||||
|
"TCN":"SELF0000504",
|
||||||
|
"BiTCN":"SELF0000505",
|
||||||
|
"DilatedRNN":"SELF0000506",
|
||||||
|
"MLP":"SELF0000507",
|
||||||
|
"DLinear":"SELF0000508",
|
||||||
|
"NLinear":"SELF0000509",
|
||||||
|
"TFT":"SELF0000510",
|
||||||
|
"FEDformer":"SELF0000511",
|
||||||
|
"StemGNN":"SELF0000512",
|
||||||
|
"MLPMultivariate":"SELF0000513",
|
||||||
|
"TiDE":"SELF0000514",
|
||||||
|
"DeepNPTS":"SELF0000515",
|
||||||
|
"NBEATS":"SELF0000516",
|
||||||
|
},{"NHITS":"SELF0000517",
|
||||||
|
"Informer":"SELF0000518",
|
||||||
|
"LSTM":"SELF0000519",
|
||||||
|
"iTransformer":"SELF0000520",
|
||||||
|
"TSMixer":"SELF0000521",
|
||||||
|
"TSMixerx":"SELF0000522",
|
||||||
|
"PatchTST":"SELF0000523",
|
||||||
|
"RNN":"SELF0000524",
|
||||||
|
"GRU":"SELF0000525",
|
||||||
|
"TCN":"SELF0000526",
|
||||||
|
"BiTCN":"SELF0000527",
|
||||||
|
"DilatedRNN":"SELF0000528",
|
||||||
|
"MLP":"SELF0000529",
|
||||||
|
"DLinear":"SELF0000530",
|
||||||
|
"NLinear":"SELF0000531",
|
||||||
|
"TFT":"SELF0000532",
|
||||||
|
"FEDformer":"SELF0000533",
|
||||||
|
"StemGNN":"SELF0000534",
|
||||||
|
"MLPMultivariate":"SELF0000535",
|
||||||
|
"TiDE":"SELF0000536",
|
||||||
|
"DeepNPTS":"SELF0000537",
|
||||||
|
"NBEATS":"SELF0000538",
|
||||||
|
}]
|
||||||
|
|
||||||
|
# 百川数据指标编码
|
||||||
|
baichuanidnamedict = {
|
||||||
|
'1588348470396480901': '石油焦滨州-友泰',
|
||||||
|
'1588348470396480903': '石油焦东营-海科瑞林',
|
||||||
|
'1588348470396480902': '石油焦东营-华联2',
|
||||||
|
'1588348470396481080': '石油焦东营-华联3',
|
||||||
|
'1588348470396480905': '石油焦东营-联合',
|
||||||
|
'1588348470396481081': '石油焦东营-联合3',
|
||||||
|
'1588348470396480915': '石油焦淄博-汇丰',
|
||||||
|
'1588348470396480888': '石油焦沧州-鑫海',
|
||||||
|
'1588348470396480917': '石油焦东营-万通',
|
||||||
|
'1588348470396480925': '石油焦东营-齐润',
|
||||||
|
'1588348470396481084': '石油焦东营-尚能4',
|
||||||
|
'1588348470396480930': '石油焦潍坊-寿光鲁清',
|
||||||
|
'1588348470396480929': '石油焦滨州-鑫岳'
|
||||||
|
}
|
||||||
|
|
||||||
|
|
||||||
|
# baichuanidnamedict = {'1588348470396475286': 'test1', '1666': 'test2'} # 北京环境测试用
|
||||||
|
|
||||||
|
# eta 上传预测结果的请求体，后面发起请求的时候更改 model datalist 数据
|
||||||
|
data = {
|
||||||
|
"IndexCode": "",
|
||||||
|
"IndexName": "石油焦铝用价格预测xx模型-yy",
|
||||||
|
"Unit": "无",
|
||||||
|
"Frequency": "日度",
|
||||||
|
"SourceName": f"价格预测",
|
||||||
|
"Remark": 'ddd',
|
||||||
|
"DataList": [
|
||||||
|
{
|
||||||
|
"Date": "2024-05-02",
|
||||||
|
"Value": 333444
|
||||||
|
}
|
||||||
|
]
|
||||||
|
}
|
||||||
|
|
||||||
|
# eta 分类
|
||||||
|
# level：3才可以获取到数据，所以需要人工把能源化工下所有的level3级都找到
|
||||||
|
# url = 'http://10.189.2.78:8108/v1/edb/list?ClassifyId=1214'
|
||||||
|
# ParentId ":1160, 能源化工
|
||||||
|
# ClassifyId ":1214,原油 3912 石油焦
|
||||||
|
# ParentId ":1214,"，就是原油下所有的数据。
|
||||||
|
ClassifyId = 3707
|
||||||
|
|
||||||
|
|
||||||
|
# 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-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
|
||||||
|
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': 'syjlyycbdwdcr',
|
||||||
|
'benzhou': 'syjlyycbdwdbz',
|
||||||
|
'cizhou': 'syjlyycbdwdcz',
|
||||||
|
'gezhou': 'syjlyycbdwdgz',
|
||||||
|
'ciyue': 'syjlyycbdwdcy',
|
||||||
|
'cieryue': 'syjlyycbdwdcey',
|
||||||
|
'cisanyue': 'syjlyycbdwdcsy',
|
||||||
|
'cisiyue': 'syjlyycbdwdcsiy',
|
||||||
|
}
|
||||||
|
|
||||||
|
# 报告中八大维度数据项重命名
|
||||||
|
columnsrename={'syjlyycbdwdbz': '本周', 'syjlyycbdwdcey': '次二月', 'syjlyycbdwdcr': '次日', 'syjlyycbdwdcsiy': '次四月',
|
||||||
|
'syjlyycbdwdcsy': '次三月', 'syjlyycbdwdcy': '次月', 'syjlyycbdwdcz': '次周', 'syjlyycbdwdgz': '隔周', }
|
||||||
|
# 北京环境数据库
|
||||||
|
host = '192.168.101.27'
|
||||||
|
port = 3306
|
||||||
|
dbusername = 'root'
|
||||||
|
password = '123456'
|
||||||
|
dbname = 'jingbo_test'
|
||||||
|
|
||||||
|
# 京博测试环境
|
||||||
|
# host = 'rm-2zehj3r1n60ttz9x5ko.mysql.rds.aliyuncs.com'
|
||||||
|
# port = 3306
|
||||||
|
# dbusername = 'jingbo'
|
||||||
|
# password = 'shihua@123'
|
||||||
|
# dbname = 'jingbo-test'
|
||||||
|
|
||||||
|
|
||||||
|
table_name = 'v_tbl_crude_oil_warning'
|
||||||
|
baichuan_table_name = 'V_TBL_BAICHUAN_YINGFU_VALUE'
|
||||||
|
# select BAICHUAN_ID, DATA_DATE, DATA_VALUE from V_TBL_BAICHUAN_YINGFU_VALUE where BAICHUAN_ID in ('1588348470396475286', '1666')
|
||||||
|
# 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_market = False # 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_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
|
||||||
|
is_update_warning_data = False # 是否上传预警数据
|
||||||
|
is_update_predict_value = True # 是否上传预测值到市场信息平台
|
||||||
|
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
|
||||||
|
is_del_tow_month = False # 是否删除两个月不更新的特征
|
||||||
|
is_bdwd = True # 是否使用八大维度
|
||||||
|
|
||||||
|
|
||||||
|
# 连接到数据库
|
||||||
|
db_mysql = MySQLDB(host=host, user=dbusername,
|
||||||
|
password=password, database=dbname)
|
||||||
|
db_mysql.connect()
|
||||||
|
print("数据库连接成功", host, dbname, dbusername)
|
||||||
|
|
||||||
|
|
||||||
|
# 数据截取日期
|
||||||
|
start_year = 2000 # 数据开始年份
|
||||||
|
end_time = '' # 数据截取日期
|
||||||
|
freq = 'M' # 时间频率，"D": 天 "W": 周"M": 月"Q": 季度"A": 年 "H": 小时 "T": 分钟 "S": 秒 "B": 工作日 "WW" 自定义周
|
||||||
|
delweekenday = True if freq == 'B' else False # 是否删除周末数据
|
||||||
|
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
|
||||||
|
if add_kdj and is_edbnamelist:
|
||||||
|
edbnamelist = edbnamelist+['K', 'D', 'J']
|
||||||
|
|
||||||
|
# 模型参数
|
||||||
|
y = '石油焦：3 # B：市场低端价：山东（日）'
|
||||||
|
avg_cols = [
|
||||||
|
|
||||||
|
]
|
||||||
|
offsite = 80
|
||||||
|
offsite_col = []
|
||||||
|
horizon = 4 # 预测的步长
|
||||||
|
input_size = 16 # 输入序列长度
|
||||||
|
train_steps = 50 if is_debug else 1000 # 训练步数,用来限定epoch次数
|
||||||
|
val_check_steps = 30 # 评估频率
|
||||||
|
early_stop_patience_steps = 5 # 早停的耐心步数
|
||||||
|
# --- 交叉验证用的参数
|
||||||
|
test_size = 100 # 测试集大小，定义100，后面使用的时候重新赋值
|
||||||
|
val_size = test_size # 验证集大小,同测试集大小
|
||||||
|
|
||||||
|
# 特征筛选用到的参数
|
||||||
|
k = 100 # 特征筛选数量，如果是0或者值比特征数量大，代表全部特征
|
||||||
|
corr_threshold = 0.6 # 相关性大于0.6的特征
|
||||||
|
rote = 0.06 # 绘图上下界阈值
|
||||||
|
|
||||||
|
# 计算准确率
|
||||||
|
weight_dict = [0.4, 0.15, 0.1, 0.1, 0.25] # 权重
|
||||||
|
|
||||||
|
|
||||||
|
# 文件
|
||||||
|
data_set = '石油焦铝用指标数据.xlsx' # 数据集文件
|
||||||
|
dataset = 'shiyoujiaolvyongyuedudataset' # 数据集文件夹
|
||||||
|
|
||||||
|
# 数据库名称
|
||||||
|
db_name = os.path.join(dataset, 'jbsh_shiyoujiao_lvyong_yuedu.db')
|
||||||
|
sqlitedb = SQLiteHandler(db_name)
|
||||||
|
sqlitedb.connect()
|
||||||
|
|
||||||
|
settings = f'{input_size}-{horizon}-{train_steps}--{k}-{data_set}'
|
||||||
|
# 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') # 获取当前日期时间
|
||||||
|
reportname = f'石油焦铝用大模型月度预测报告--{end_time}.pdf' # 报告文件名
|
||||||
|
reportname = reportname.replace(':', '-') # 替换冒号
|
||||||
|
if end_time == '':
|
||||||
|
end_time = now
|
||||||
|
# 邮件配置
|
||||||
|
username = '1321340118@qq.com'
|
||||||
|
passwd = 'wgczgyhtyyyyjghi'
|
||||||
|
# recv=['liurui_test@163.com','52585119@qq.com']
|
||||||
|
recv = ['liurui_test@163.com']
|
||||||
|
# recv=['liurui_test@163.com']
|
||||||
|
title = 'reportname'
|
||||||
|
content = y+'预测报告请看附件'
|
||||||
|
file = os.path.join(dataset, 'reportname')
|
||||||
|
# file=os.path.join(dataset,'14-7-50--100-原油指标数据.xlsx-Brent连1合约价格--20240731175936-预测报告.pdf')
|
||||||
|
ssl = True
|
||||||
|
|
||||||
|
|
||||||
|
# 日志配置
|
||||||
|
|
||||||
|
# 创建日志目录（如果不存在）
|
||||||
|
log_dir = 'logs'
|
||||||
|
if not os.path.exists(log_dir):
|
||||||
|
os.makedirs(log_dir)
|
||||||
|
|
||||||
|
# 配置日志记录器
|
||||||
|
logger = logging.getLogger('my_logger')
|
||||||
|
logger.setLevel(logging.INFO)
|
||||||
|
|
||||||
|
# 配置文件处理器，将日志记录到文件
|
||||||
|
file_handler = logging.handlers.RotatingFileHandler(os.path.join(
|
||||||
|
log_dir, 'pricepredict.log'), maxBytes=1024 * 1024, backupCount=5)
|
||||||
|
file_handler.setFormatter(logging.Formatter(
|
||||||
|
'%(asctime)s - %(name)s - %(levelname)s - %(message)s'))
|
||||||
|
|
||||||
|
# 配置控制台处理器，将日志打印到控制台
|
||||||
|
console_handler = logging.StreamHandler()
|
||||||
|
console_handler.setFormatter(logging.Formatter('%(message)s'))
|
||||||
|
|
||||||
|
# 将处理器添加到日志记录器
|
||||||
|
logger.addHandler(file_handler)
|
||||||
|
logger.addHandler(console_handler)
|
||||||
|
|
||||||
|
# logger.info('当前配置：'+settings)
|
||||||
@ -144,8 +144,53 @@ bdwdname = [
|
|||||||
'次周',
|
'次周',
|
||||||
'隔周',
|
'隔周',
|
||||||
]
|
]
|
||||||
modelsindex = {
|
modelsindex = [
|
||||||
}
|
{"NHITS":"SELF0000407",
|
||||||
|
"Informer":"SELF0000408",
|
||||||
|
"LSTM":"SELF0000409",
|
||||||
|
"iTransformer":"SELF0000410",
|
||||||
|
"TSMixer":"SELF0000411",
|
||||||
|
"TSMixerx":"SELF0000412",
|
||||||
|
"PatchTST":"SELF0000413",
|
||||||
|
"RNN":"SELF0000414",
|
||||||
|
"GRU":"SELF0000415",
|
||||||
|
"TCN":"SELF0000416",
|
||||||
|
"BiTCN":"SELF0000417",
|
||||||
|
"DilatedRNN":"SELF0000418",
|
||||||
|
"MLP":"SELF0000419",
|
||||||
|
"DLinear":"SELF0000420",
|
||||||
|
"NLinear":"SELF0000421",
|
||||||
|
"TFT":"SELF0000422",
|
||||||
|
"FEDformer":"SELF0000423",
|
||||||
|
"StemGNN":"SELF0000424",
|
||||||
|
"MLPMultivariate":"SELF0000425",
|
||||||
|
"TiDE":"SELF0000426",
|
||||||
|
"DeepNPTS":"SELF0000427",
|
||||||
|
"NBEATS":"SELF0000428",
|
||||||
|
|
||||||
|
},{"NHITS":"SELF0000429",
|
||||||
|
"Informer":"SELF0000430",
|
||||||
|
"LSTM":"SELF0000431",
|
||||||
|
"iTransformer":"SELF0000432",
|
||||||
|
"TSMixer":"SELF0000433",
|
||||||
|
"TSMixerx":"SELF0000434",
|
||||||
|
"PatchTST":"SELF0000435",
|
||||||
|
"RNN":"SELF0000436",
|
||||||
|
"GRU":"SELF0000437",
|
||||||
|
"TCN":"SELF0000438",
|
||||||
|
"BiTCN":"SELF0000439",
|
||||||
|
"DilatedRNN":"SELF0000440",
|
||||||
|
"MLP":"SELF0000441",
|
||||||
|
"DLinear":"SELF0000442",
|
||||||
|
"NLinear":"SELF0000443",
|
||||||
|
"TFT":"SELF0000444",
|
||||||
|
"FEDformer":"SELF0000445",
|
||||||
|
"StemGNN":"SELF0000446",
|
||||||
|
"MLPMultivariate":"SELF0000447",
|
||||||
|
"TiDE":"SELF0000448",
|
||||||
|
"DeepNPTS":"SELF0000449",
|
||||||
|
"NBEATS":"SELF0000450",}
|
||||||
|
]
|
||||||
|
|
||||||
# 百川数据指标编码
|
# 百川数据指标编码
|
||||||
baichuanidnamedict = {
|
baichuanidnamedict = {
|
||||||
@ -290,18 +335,18 @@ bdwd_items = {
|
|||||||
}
|
}
|
||||||
|
|
||||||
# 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'
|
||||||
|
|
||||||
# 京博测试环境
|
# 京博测试环境
|
||||||
# host = 'rm-2zehj3r1n60ttz9x5ko.mysql.rds.aliyuncs.com'
|
host = 'rm-2zehj3r1n60ttz9x5ko.mysql.rds.aliyuncs.com'
|
||||||
# port = 3306
|
port = 3306
|
||||||
# dbusername = 'jingbo'
|
dbusername = 'jingbo'
|
||||||
# password = 'shihua@123'
|
password = 'shihua@123'
|
||||||
# dbname = 'jingbo-test'
|
dbname = 'jingbo-test'
|
||||||
|
|
||||||
|
|
||||||
table_name = 'v_tbl_crude_oil_warning'
|
table_name = 'v_tbl_crude_oil_warning'
|
||||||
|
|||||||
@ -235,7 +235,7 @@ def predict_main():
|
|||||||
df_zhibiaoliebiao.to_excel(file, sheet_name='指标列表', index=False)
|
df_zhibiaoliebiao.to_excel(file, sheet_name='指标列表', index=False)
|
||||||
|
|
||||||
# 数据处理
|
# 数据处理
|
||||||
df = datachuli(df_zhibiaoshuju, df_zhibiaoliebiao, y=global_config['y'], dataset=dataset, add_kdj=add_kdj, is_timefurture=is_timefurture,
|
df = zhoududatachuli(df_zhibiaoshuju, df_zhibiaoliebiao, y=global_config['y'], dataset=dataset, add_kdj=add_kdj, is_timefurture=is_timefurture,
|
||||||
end_time=end_time)
|
end_time=end_time)
|
||||||
|
|
||||||
else:
|
else:
|
||||||
|
|||||||
Loading…
Reference in New Issue
Block a user