72 lines
2.2 KiB
Python
72 lines
2.2 KiB
Python
# 创建eta自定义指标数据
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from config_jingbo import *
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from lib.dataread import *
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signature = BinanceAPI(APPID, SECRET)
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etadata = EtaReader(signature=signature,
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classifylisturl=classifylisturl,
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classifyidlisturl=classifyidlisturl,
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edbcodedataurl=edbcodedataurl,
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edbcodelist=edbcodelist,
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edbdatapushurl=edbdatapushurl,
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edbdeleteurl=edbdeleteurl,
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edbbusinessurl=edbbusinessurl
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)
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logger.info('从eta获取数据...')
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signature = BinanceAPI(APPID, SECRET)
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etadata = EtaReader(signature=signature,
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classifylisturl=classifylisturl,
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classifyidlisturl=classifyidlisturl,
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edbcodedataurl=edbcodedataurl,
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edbcodelist=edbcodelist,
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edbdatapushurl=edbdatapushurl,
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edbdeleteurl=edbdeleteurl,
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edbbusinessurl=edbbusinessurl,
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)
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# eta自有数据指标编码
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modelsindex = {
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'NHITS': 'SELF0000077',
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'Informer': 'SELF0000078',
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'LSTM': 'SELF0000079',
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'iTransformer': 'SELF0000080',
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'TSMixer': 'SELF0000081',
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'TSMixerx': 'SELF0000082',
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'PatchTST': 'SELF0000083',
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'RNN': 'SELF0000084',
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'GRU': 'SELF0000085',
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'TCN': 'SELF0000086',
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'BiTCN': 'SELF0000087',
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'DilatedRNN': 'SELF0000088',
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'MLP': 'SELF0000089',
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'DLinear': 'SELF0000090',
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'NLinear': 'SELF0000091',
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'TFT': 'SELF0000092',
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'FEDformer': 'SELF0000093',
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'StemGNN': 'SELF0000094',
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'MLPMultivariate': 'SELF0000095',
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'TiDE': 'SELF0000096',
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'DeepNPTS': 'SELF0000097'
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}
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date = '2025-02-13'
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value = 333444
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for m in modelsindex.keys():
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# list = []
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# list.append({'Date':date,'Value':value})
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# data['DataList'] = list
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# data['IndexCode'] = modelsindex[m]
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# data['IndexName'] = f'聚烯烃价格预测{m}模型'
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# data['Remark'] = m
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# etadata.push_data(data)
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# data['IndexCode'] = modelsindex[m]
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# data['StartDate'] = '2025-01-01'
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# data['EndDate'] = '2025-03-13'
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# # data['Remark'] = m
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# etadata.del_business(data=data)
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pass
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