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@@ -0,0 +1,903 @@
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+package services
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+
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+import (
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+ "encoding/json"
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+ "eta/eta_data_analysis/models"
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+ "eta/eta_data_analysis/utils"
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+ "fmt"
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+ "github.com/shakinm/xlsReader/xls"
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+ "github.com/tealeg/xlsx"
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+ "github.com/xuri/excelize/v2"
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+ "path"
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+ "strings"
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+ "time"
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+)
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+
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+const (
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+ FenweiIndexNamePrefix = "fwsj" // 指标名称前缀
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+
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+ FenweiExcelNameA = "动力煤产销存-66家"
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+ FenweiExcelNameB = "动力煤产销存-100家"
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+ FenweiExcelNameC = "焦煤产销存-53家"
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+ FenweiNewExcelNameC = "炼焦煤产销存分省-53家"
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+ FenweiExcelNameD = "焦煤产销存-88家"
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+ FenweiNewExcelNameD = "炼焦煤产销存分省-88家"
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+ FenweiExcelNameE = "样本焦化厂焦煤"
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+
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+ FenweiYangBenIndexNamePre = "样本焦企炼焦煤库存可用天数"
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+ FenweiYangBenIndexClassifyId = 5 // 样本焦企炼焦分类ID
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+)
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+
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+var FenweiProvinces = []string{
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+ "内蒙古", "山西", "陕西", "三省合计", "临汾市", "临汾", "吕梁市", "吕梁", "长治市", "长治", "山西其他", "河北", "合计", "山东", "其他",
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+}
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+
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+// FenweiProvinceClassifyMapping 指标名称省份->分类省份
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+var FenweiProvinceClassifyMapping = map[string]string{
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+ "内蒙古": "内蒙古",
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+ "山西": "山西",
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+ "陕西": "陕西",
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+ "三省合计": "三省合计",
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+ "临汾市": "临汾市",
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+ "吕梁市": "吕梁市",
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+ "长治市": "长治市",
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+ "临汾": "临汾市",
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+ "吕梁": "吕梁市",
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+ "长治": "长治市",
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+ "山西其他": "山西其他",
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+ "河北": "河北",
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+ "山东": "山东",
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+ "合计": "合计",
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+ "其他": "其他",
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+}
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+
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+// FenweiFirstClassifyMap excel表名->一级分类ID
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+var FenweiFirstClassifyMap = map[string]int{
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+ FenweiExcelNameA: 1,
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+ FenweiExcelNameB: 2,
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+ FenweiExcelNameC: 3,
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+ FenweiExcelNameD: 4,
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+ FenweiExcelNameE: 5,
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+}
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+
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+// FenweiNewDlm66DiffIndexNameReplaceMapping 动力煤66家-指标名称不同的进行替换
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+var FenweiNewDlm66DiffIndexNameReplaceMapping = map[string]string{
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+ "价格平均上涨幅度（元/吨）": "煤矿价格平均上涨幅度",
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+ "库存库存量（万吨）": "煤矿库存",
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+ "盈亏情况盈利煤矿数量": "盈利煤矿数量",
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+ "盈亏情况平均利润（元/吨）": "煤矿平均利润",
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+ "盈亏情况亏损煤矿数量": "亏损煤矿数量",
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+ "盈亏情况平均亏损（元/吨）": "煤矿平均亏损",
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+ "周度产量产量（万吨）": "煤矿周度产量",
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+ "销售好": "销售好煤矿数量",
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+ "销售一般": "销售一般煤矿数量",
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+ "销售不好": "销售不好煤矿数量",
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+ "销售关闭": "关闭煤矿数量",
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+ "产能利用率产能利用率": "煤矿产能利用率",
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+ "开工率开工率": "煤矿算术平均开工率（含停产）",
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+ "价格平均下跌幅度": "煤矿价格平均下跌幅度",
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+}
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+
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+// FenweiNewDlm66IgnoreIndexNameMapping 动力煤66家-需要忽略的指标名称
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+var FenweiNewDlm66IgnoreIndexNameMapping = []string{
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+ "库存环比", "发运至港口平均利润", "周度产量环比", "开工率算数平均（不含停产矿）", "变化", "产能利用率变化", "开工率变化",
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+}
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+
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+// FenweiNewDlm100DiffIndexNameReplaceMapping 动力煤100家-指标名称不同的进行替换
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+var FenweiNewDlm100DiffIndexNameReplaceMapping = map[string]string{
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+ "价格平均上涨幅度（元/吨）": "煤矿价格平均上涨幅度",
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+ "价格平均下跌幅度": "煤矿价格平均下跌幅度",
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+ "库存库存量（万吨）": "煤矿库存",
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+ "库存环比": "煤矿库存环比",
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+ "盈亏情况盈利煤矿数量": "盈利煤矿数量",
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+ "盈亏情况平均利润（元/吨）": "煤矿平均利润",
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+ "盈亏情况亏损煤矿数量": "亏损煤矿数量",
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+ "盈亏情况平均亏损（元/吨）": "煤矿平均亏损",
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+ "发运至港口平均利润": "煤炭发运至港口平均利润",
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+ "周度产量产量（万吨）": "煤矿周度产量",
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+ "周度产量环比": "煤矿周度产量环比",
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+ "产能利用率产能利用率": "煤矿产能利用率",
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+ "产能利用率变化": "煤矿产能利用率环比",
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+ "开工率开工率": "煤矿平均开工率",
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+ "开工率变化": "煤矿平均开工率环比",
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+ "销售好": "销售好煤矿数量",
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+ "销售一般": "销售一般煤矿数量",
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+ "销售不好": "销售不好煤矿数量",
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+ "销售关闭": "关闭煤矿数量",
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+}
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+
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+// FenweiNewDlm100IgnoreIndexNameMapping 动力煤100家-需要忽略的指标名称
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+var FenweiNewDlm100IgnoreIndexNameMapping = make([]string, 0)
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+
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+// FenweiNewJm53DiffIndexNameReplaceMapping 焦煤53家-指标名称不同的进行替换
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+var FenweiNewJm53DiffIndexNameReplaceMapping = map[string]string{
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+ "价格情况煤矿数量": "煤矿数量",
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+ "价格情况上涨煤矿数量": "上涨煤矿数量",
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+ "价格情况平均上涨（元/吨）": "煤矿平均上涨幅度",
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+ "价格情况下跌煤矿数量": "下跌煤矿数量",
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+ "价格情况平均下跌（元/吨）": "煤矿平均下跌幅度",
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+ "价格情况持平煤矿数量": "持平煤矿数量",
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+ "原煤库存情况库存总量（万吨）": "原煤库存",
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+ "精煤库存情况库存总量（万吨）": "精煤库存",
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+ "开工情况权重平均开工率": "煤矿加权开工率",
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+ "开工情况算数平均开工率": "煤矿算术平均开工率",
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+ "开工情况停产煤矿数量": "停产煤矿数量",
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+ "开工情况本周原煤产量（万吨）": "本周原煤产量",
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+ "销售良好": "销售好煤矿数量",
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+ "销售正常": "销售一般煤矿数量",
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+ "销售不好": "销售不好煤矿数量",
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+ "成本盈利煤矿数量": "盈利煤矿数量",
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+ "成本平均利润": "煤矿平均利润",
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+ "成本亏损煤矿数量": "亏损煤矿数量",
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+ "成本平均亏损": "煤矿平均亏损",
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+}
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+
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+// FenweiNewJm53IgnoreIndexNameMapping 焦煤53家-需要忽略的指标名称
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+var FenweiNewJm53IgnoreIndexNameMapping = []string{
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+ "原煤库存情况环比（万吨）", "精煤库存情况环比（万吨）", "开工情况开工率变化", "开工情况停产煤矿数量变化", "开工情况环比产量变化",
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+}
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+
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+// FenweiNewJm88DiffIndexNameReplaceMapping 焦煤88家-指标名称不同的进行替换
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+var FenweiNewJm88DiffIndexNameReplaceMapping = map[string]string{
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+ "价格情况煤企数量": "煤企数量",
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+ "价格情况上涨煤企数量": "上涨煤企数量",
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+ "价格情况平均上涨（元/吨）": "煤企平均上涨幅度",
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+ "价格情况下跌煤矿数量": "下跌煤企数量",
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+ "价格情况平均下跌（元/吨）": "煤企平均下跌幅度",
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+ "价格情况持平煤企数量": "持平煤企数量",
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+ "原煤库存情况库存总量（万吨）": "原煤库存",
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+ "原煤库存情况环比（万吨）": "原煤库存环比",
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+ "精煤库存情况库存总量（万吨）": "精煤库存",
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+ "精煤库存情况环比（万吨）": "精煤库存环比",
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+ "开工情况产能利用率": "煤企产能利用率",
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+ "开工情况产能利用率变化": "煤企产能利用率环比",
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+ "开工情况开工率": "煤企开工率",
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+ "开工情况开工率变化": "煤企开工率环比",
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+ "开工情况停产煤矿数量": "停产煤矿数量",
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+ "开工情况停产煤矿数量变化": "停产煤矿数量变化",
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+ "开工情况本周原煤产量（万吨）": "本周原煤产量",
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+ "开工情况环比产量变化": "本周原煤产量变化",
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+ "本周精煤产量（万吨）": "本周精煤产量",
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+ "环比产量变化": "本周精煤产量变化",
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+ "良好": "销售好煤企数量",
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+ "正常": "销售一般煤企数量",
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+ "不好": "销售不好煤企数量",
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+ "盈利煤企数量": "盈利煤企数量",
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+ "商品煤平均利润": "煤企平均利润",
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+ "亏损煤企数量": "亏损煤企数量",
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+ "商品煤平均亏损": "煤企平均亏损",
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+}
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+
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+// FenweiNewJm88IgnoreIndexNameMapping 焦煤88家-需要忽略的指标名称
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+var FenweiNewJm88IgnoreIndexNameMapping = make([]string, 0)
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+
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+var FenweiNewDiffIndexNameReplaceMapping = map[string]map[string]string{
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+ FenweiExcelNameA: FenweiNewDlm66DiffIndexNameReplaceMapping,
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+ FenweiExcelNameB: FenweiNewDlm100DiffIndexNameReplaceMapping,
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+ FenweiExcelNameC: FenweiNewJm53DiffIndexNameReplaceMapping,
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+ FenweiExcelNameD: FenweiNewJm88DiffIndexNameReplaceMapping,
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+}
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+
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+var FenweiNewIgnoreIndexNameMapping = map[string][]string{
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+ FenweiExcelNameA: FenweiNewDlm66IgnoreIndexNameMapping,
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+ FenweiExcelNameB: FenweiNewDlm100IgnoreIndexNameMapping,
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+ FenweiExcelNameC: FenweiNewJm53IgnoreIndexNameMapping,
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+ FenweiExcelNameD: FenweiNewJm88IgnoreIndexNameMapping,
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+}
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+
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+var FenweiNewIndexNameSuffixMapping = map[string]string{
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+ FenweiExcelNameA: "/动力煤/66家样本",
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+ FenweiExcelNameB: "/动力煤/100家样本",
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+ FenweiExcelNameC: "/焦煤/53家样本",
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+ FenweiExcelNameD: "/焦煤/88家样本",
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+}
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+
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+var FenweiNewExcelProvinceMapping = map[string]string{
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+ "内蒙古": "内蒙古",
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+ "山西": "山西",
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+ "陕西": "陕西",
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+ "三省合计": "三省合计",
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+ "山西-临汾市": "临汾",
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+ "山西-吕梁市": "吕梁",
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+ "山西-长治市": "长治",
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+ "山西-其他": "山西其他",
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+ "山东": "山东",
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+ "其他": "其他",
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+ "合计": "合计",
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+ "河北": "河北",
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+}
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+
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+// AnalysisFenweiHistoryExcel 解析汾渭历史Excel数据
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+func AnalysisFenweiHistoryExcel(filePath string) (err error) {
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+ defer func() {
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+ if err != nil {
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+ fmt.Printf("AnalysisFenweiExcel ErrMsg: %s\n", err.Error())
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+ utils.FileLog.Info(fmt.Sprintf("AnalysisFenweiExcel ErrMsg: %s", err.Error()))
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+ }
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+ }()
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+
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+ fileName := path.Base(filePath)
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+ var indexes []*models.FenweiExcelIndex
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+ var e error
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+ if strings.Contains(fileName, FenweiExcelNameA) {
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+ indexes, e = AnalysisFenweiHistoryExcelNormal(filePath, FenweiExcelNameA)
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+ } else if strings.Contains(fileName, FenweiExcelNameB) {
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+ indexes, e = AnalysisFenweiHistoryExcelNormal(filePath, FenweiExcelNameB)
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+ } else if strings.Contains(fileName, FenweiExcelNameC) {
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+ indexes, e = AnalysisFenweiHistoryExcelNormal(filePath, FenweiExcelNameC)
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+ } else if strings.Contains(fileName, FenweiExcelNameD) {
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+ indexes, e = AnalysisFenweiHistoryExcelNormal(filePath, FenweiExcelNameD)
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+ } else if strings.Contains(fileName, FenweiExcelNameE) {
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+ indexes, e = AnalysisFenweiExcelYangBen(filePath)
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+ } else {
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+ utils.FileLog.Info(fmt.Sprintf("文件名有误, FileName: %s", fileName))
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+ return
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+ }
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+ if e != nil {
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+ utils.FileLog.Info(fmt.Sprintf("获取excel数据失败, FileName: %s, Err: %s", fileName, e))
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+ return
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+ }
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+ if len(indexes) == 0 {
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+ utils.FileLog.Info(fmt.Sprintf("fileName: %s, index empty", fileName))
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+ return
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+ }
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+
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+ // 写入数据
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+ params := make(map[string]interface{})
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+ params["List"] = indexes
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+ params["TerminalCode"] = utils.TerminalCode
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+ result, e := PostEdbLib(params, utils.LIB_ROUTE_FENWEI_HANDLE)
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+ if e != nil {
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+ b, _ := json.Marshal(params)
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+ utils.FileLog.Info(fmt.Sprintf("fileName: %s, PostEdbLib err: %s, params: %s", fileName, e.Error(), string(b)))
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+ return
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+ }
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+ resp := new(models.BaseEdbLibResponse)
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+ if e := json.Unmarshal(result, &resp); e != nil {
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+ utils.FileLog.Info(fmt.Sprintf("fileName: %s, json.Unmarshal err: %s", fileName, e.Error()))
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+ return
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+ }
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+ if resp.Ret != 200 {
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+ utils.FileLog.Info(fmt.Sprintf("fileName: %s, Msg: %s, ErrMsg: %s", fileName, resp.Msg, resp.ErrMsg))
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+ return
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+ }
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+ return
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+}
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+
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+// AnalysisFenweiHistoryExcelNormal 历史数据-动力煤产销存/焦煤产销存
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+func AnalysisFenweiHistoryExcelNormal(filePath, excelName string) (indexes []*models.FenweiExcelIndex, err error) {
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+ defer func() {
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+ if err != nil {
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+ fmt.Printf("AnalysisFenweiHistoryExcelNormal ErrMsg: %s\n", err.Error())
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+ utils.FileLog.Info(fmt.Sprintf("AnalysisFenweiHistoryExcelNormal ErrMsg: %s", err.Error()))
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+ }
|
|
|
+ }()
|
|
|
+
|
|
|
+ f, e := excelize.OpenFile(filePath)
|
|
|
+ if e != nil {
|
|
|
+ err = fmt.Errorf("open file err: %s", e.Error())
|
|
|
+ return
|
|
|
+ }
|
|
|
+ defer func() {
|
|
|
+ if e = f.Close(); e != nil {
|
|
|
+ err = fmt.Errorf("f close err: %s", e.Error())
|
|
|
+ }
|
|
|
+ }()
|
|
|
+ sheetName := f.GetSheetName(0)
|
|
|
+ rows, e := f.GetRows(sheetName)
|
|
|
+ if e != nil {
|
|
|
+ err = fmt.Errorf("f GetRows err: %s", e.Error())
|
|
|
+ return
|
|
|
+ }
|
|
|
+
|
|
|
+ // 获取指标分类
|
|
|
+ firstId := FenweiFirstClassifyMap[excelName]
|
|
|
+ if firstId <= 0 {
|
|
|
+ err = fmt.Errorf("excel名称有误, 分类不匹配, excelName: %s", excelName)
|
|
|
+ return
|
|
|
+ }
|
|
|
+ classifies, e := GetFenweiClassify()
|
|
|
+ if e != nil {
|
|
|
+ err = fmt.Errorf("获取指标分类失败, Err: %s", e.Error())
|
|
|
+ return
|
|
|
+ }
|
|
|
+ secondClassifyMap := make(map[string]int)
|
|
|
+ for _, v := range classifies {
|
|
|
+ if v.ClassifyId != firstId {
|
|
|
+ continue
|
|
|
+ }
|
|
|
+ for _, c := range v.Child {
|
|
|
+ secondClassifyMap[c.ClassifyName] = c.ClassifyId
|
|
|
+ }
|
|
|
+ }
|
|
|
+
|
|
|
+ indexes = make([]*models.FenweiExcelIndex, 0)
|
|
|
+ indexColIndex := make(map[int]*models.FenweiExcelIndex) // 列对应的指标(B列-?列)
|
|
|
+ maxCol := 0
|
|
|
+ sortArr := make([]string, 0) // 排序用的
|
|
|
+ for i, row := range rows {
|
|
|
+ // 首行为标题, 忽略
|
|
|
+ if i == 0 {
|
|
|
+ continue
|
|
|
+ }
|
|
|
+
|
|
|
+ // 第二行-指标名称
|
|
|
+ if i == 1 {
|
|
|
+ for k, cell := range row {
|
|
|
+ if k == 0 {
|
|
|
+ maxCol += 1
|
|
|
+ continue
|
|
|
+ }
|
|
|
+ name := strings.TrimSpace(cell)
|
|
|
+ name = strings.ReplaceAll(name, " ", "")
|
|
|
+ if name == "" {
|
|
|
+ break
|
|
|
+ }
|
|
|
+ maxCol += 1
|
|
|
+ if indexColIndex[k] == nil {
|
|
|
+ indexColIndex[k] = new(models.FenweiExcelIndex)
|
|
|
+ indexColIndex[k].ExcelDataMap = make(map[string]string)
|
|
|
+ indexColIndex[k].TerminalCode = utils.TerminalCode
|
|
|
+ indexColIndex[k].IndexName = name
|
|
|
+ }
|
|
|
+ }
|
|
|
+ continue
|
|
|
+ }
|
|
|
+
|
|
|
+ // 第三行-指标ID、指标分类
|
|
|
+ if i == 2 {
|
|
|
+ for k := 0; k < maxCol; k++ {
|
|
|
+ if k == 0 {
|
|
|
+ continue
|
|
|
+ }
|
|
|
+ if indexColIndex[k] == nil {
|
|
|
+ utils.FileLog.Info(fmt.Sprintf("第%d列无指标ID", k))
|
|
|
+ break
|
|
|
+ }
|
|
|
+ // 例:内蒙古煤矿数量/动力煤/66家样本->fwsjneimenggumksldlm66jyb
|
|
|
+ name := strings.ReplaceAll(indexColIndex[k].IndexName, "/", "")
|
|
|
+ var middle, suffix, province string
|
|
|
+ for _, p := range FenweiProvinces {
|
|
|
+ // 此处山西其他可能会被错误的给鉴别为山西, 所以优先鉴别一下山西其他
|
|
|
+ if strings.Contains(name, "山西其他") {
|
|
|
+ province = "山西其他"
|
|
|
+ middle = utils.GetFullPingYin("山西其他")
|
|
|
+ name = strings.ReplaceAll(name, p, "")
|
|
|
+ break
|
|
|
+ }
|
|
|
+ if strings.Contains(name, p) {
|
|
|
+ province = p
|
|
|
+ middle = utils.GetFullPingYin(p)
|
|
|
+ name = strings.ReplaceAll(name, p, "")
|
|
|
+ break
|
|
|
+ }
|
|
|
+ }
|
|
|
+ if middle == "" {
|
|
|
+ utils.FileLog.Info(fmt.Sprintf("指标名称转换编码有误, IndexName: %s", indexColIndex[k].IndexName))
|
|
|
+ continue
|
|
|
+ }
|
|
|
+ classifyProvince := FenweiProvinceClassifyMapping[province]
|
|
|
+ classifyId := secondClassifyMap[classifyProvince]
|
|
|
+ if classifyId <= 0 {
|
|
|
+ utils.FileLog.Info(fmt.Sprintf("指标名称分类不匹配, IndexName: %s", indexColIndex[k].IndexName))
|
|
|
+ continue
|
|
|
+ }
|
|
|
+
|
|
|
+ suffix = utils.GetFirstPingYin(name)
|
|
|
+ indexColIndex[k].IndexCode = fmt.Sprint(FenweiIndexNamePrefix, middle, suffix)
|
|
|
+ indexColIndex[k].ClassifyId = classifyId
|
|
|
+ sortArr = append(sortArr, indexColIndex[k].IndexCode)
|
|
|
+ }
|
|
|
+ continue
|
|
|
+ }
|
|
|
+
|
|
|
+ // 第四行-频度
|
|
|
+ if i == 3 {
|
|
|
+ for k, cell := range row {
|
|
|
+ if k == 0 {
|
|
|
+ continue
|
|
|
+ }
|
|
|
+ if indexColIndex[k] == nil {
|
|
|
+ utils.FileLog.Info(fmt.Sprintf("第%d列无指标名称", k))
|
|
|
+ break
|
|
|
+ }
|
|
|
+ frequency := strings.TrimSpace(cell)
|
|
|
+ indexColIndex[k].Frequency = frequency
|
|
|
+ }
|
|
|
+ continue
|
|
|
+ }
|
|
|
+
|
|
|
+ // 第五行-单位
|
|
|
+ if i == 4 {
|
|
|
+ for k, cell := range row {
|
|
|
+ if k == 0 {
|
|
|
+ continue
|
|
|
+ }
|
|
|
+ if indexColIndex[k] == nil {
|
|
|
+ utils.FileLog.Info(fmt.Sprintf("第%d列无指标单位", k))
|
|
|
+ break
|
|
|
+ }
|
|
|
+ unit := strings.TrimSpace(cell)
|
|
|
+ indexColIndex[k].Unit = unit
|
|
|
+ }
|
|
|
+ continue
|
|
|
+ }
|
|
|
+
|
|
|
+ // 数据行
|
|
|
+ if i > 4 {
|
|
|
+ var date string
|
|
|
+ for k, cell := range row {
|
|
|
+ if k == 0 {
|
|
|
+ // 日期
|
|
|
+ date = strings.TrimSpace(cell)
|
|
|
+ _, e := time.Parse(utils.FormatDate, date)
|
|
|
+ if e != nil {
|
|
|
+ // 如果第一列不是日期那么结束本行的读取
|
|
|
+ break
|
|
|
+ }
|
|
|
+ continue
|
|
|
+ }
|
|
|
+ // 日期数据
|
|
|
+ if date == "" {
|
|
|
+ utils.FileLog.Info(fmt.Sprintf("第%d行无数据日期", i))
|
|
|
+ break
|
|
|
+ }
|
|
|
+ if indexColIndex[k] == nil {
|
|
|
+ utils.FileLog.Info(fmt.Sprintf("第%d列无指标名称", k))
|
|
|
+ break
|
|
|
+ }
|
|
|
+ val := strings.TrimSpace(cell)
|
|
|
+ if val == "" {
|
|
|
+ // 单元格数据为空, 则当前日期无数据
|
|
|
+ continue
|
|
|
+ }
|
|
|
+ indexColIndex[k].ExcelDataMap[date] = val
|
|
|
+ }
|
|
|
+ continue
|
|
|
+ }
|
|
|
+ }
|
|
|
+
|
|
|
+ codeIndexes := make(map[string]*models.FenweiExcelIndex)
|
|
|
+ for _, v := range indexColIndex {
|
|
|
+ if v.IndexCode == "" {
|
|
|
+ continue
|
|
|
+ }
|
|
|
+ codeIndexes[v.IndexCode] = v
|
|
|
+ }
|
|
|
+ for _, v := range sortArr {
|
|
|
+ if codeIndexes[v] != nil {
|
|
|
+ indexes = append(indexes, codeIndexes[v])
|
|
|
+ }
|
|
|
+ }
|
|
|
+ return
|
|
|
+}
|
|
|
+
|
|
|
+// AnalysisFenweiExcelYangBen 样本焦化厂
|
|
|
+func AnalysisFenweiExcelYangBen(filePath string) (indexes []*models.FenweiExcelIndex, err error) {
|
|
|
+ defer func() {
|
|
|
+ if err != nil {
|
|
|
+ fmt.Printf("AnalysisFenweiExcelYangBen ErrMsg: %s\n", err.Error())
|
|
|
+ utils.FileLog.Info(fmt.Sprintf("AnalysisFenweiExcelYangBen ErrMsg: %s", err.Error()))
|
|
|
+ }
|
|
|
+ }()
|
|
|
+
|
|
|
+ indexColIndex := make(map[int]*models.FenweiExcelIndex) // 列对应的指标(B列-E列)
|
|
|
+ provinces := []string{"地区", "全国", "山西", "河北", "山东"}
|
|
|
+ for k, v := range provinces {
|
|
|
+ if k == 0 {
|
|
|
+ continue
|
|
|
+ }
|
|
|
+ if indexColIndex[k] == nil {
|
|
|
+ indexColIndex[k] = new(models.FenweiExcelIndex)
|
|
|
+ indexColIndex[k].ExcelDataMap = make(map[string]string)
|
|
|
+ indexColIndex[k].TerminalCode = utils.TerminalCode
|
|
|
+ indexColIndex[k].ClassifyId = FenweiYangBenIndexClassifyId
|
|
|
+ indexColIndex[k].Frequency = "周度"
|
|
|
+ indexColIndex[k].Unit = "天"
|
|
|
+ indexColIndex[k].IndexName = fmt.Sprintf("%s/%s", FenweiYangBenIndexNamePre, v)
|
|
|
+
|
|
|
+ // 指标编码, 例:样本焦企炼焦煤库存可用天数/全国->fwsjybjqljmkckytsquanguo
|
|
|
+ name := strings.ReplaceAll(indexColIndex[k].IndexName, "/", "")
|
|
|
+ var middle, suffix string
|
|
|
+ for _, p := range provinces {
|
|
|
+ if strings.Contains(name, p) {
|
|
|
+ suffix = utils.GetFullPingYin(p)
|
|
|
+ name = strings.ReplaceAll(name, p, "")
|
|
|
+ break
|
|
|
+ }
|
|
|
+ }
|
|
|
+ if suffix == "" {
|
|
|
+ utils.FileLog.Info(fmt.Sprintf("指标名称转换编码有误, IndexName: %s", indexColIndex[k].IndexName))
|
|
|
+ continue
|
|
|
+ }
|
|
|
+ middle = utils.GetFirstPingYin(name)
|
|
|
+ indexColIndex[k].IndexCode = fmt.Sprint(FenweiIndexNamePrefix, middle, suffix)
|
|
|
+ }
|
|
|
+ }
|
|
|
+
|
|
|
+ maxCols := 5 // 每行只读取前5列即可
|
|
|
+ startDateRow := 0 // 数据日期起始行(第一行), 后面依次加4行读取
|
|
|
+ startDataRow := 2 // 数据值起始行(第三行), 后面依次加4行读取
|
|
|
+ sumDateRow := 0 // 数据日期累加的行, 每加4次重置0
|
|
|
+ sumDataRow := 0 // 数据值累加的行, 每加4次重置0
|
|
|
+ currDate := "" // 最近的一次日期
|
|
|
+ stop := false // 结束读取excel
|
|
|
+
|
|
|
+ xlsFile, e := xls.OpenFile(filePath)
|
|
|
+ if e != nil {
|
|
|
+ err = fmt.Errorf("open xls file err: %s", e.Error())
|
|
|
+ return
|
|
|
+ }
|
|
|
+ sheet, e := xlsFile.GetSheet(0)
|
|
|
+ if e != nil {
|
|
|
+ err = fmt.Errorf("GetSheet err: %s", e.Error())
|
|
|
+ return
|
|
|
+ }
|
|
|
+ rows := sheet.GetRows()
|
|
|
+ for i, row := range rows {
|
|
|
+ sumDateRow += 1
|
|
|
+ sumDataRow += 1
|
|
|
+
|
|
|
+ // 第一个日期行/后续每4行取一次日期
|
|
|
+ if i == startDateRow || sumDateRow == 4 {
|
|
|
+ if stop {
|
|
|
+ break
|
|
|
+ }
|
|
|
+ sumDateRow = 0
|
|
|
+
|
|
|
+ for k, cell := range row.GetCols() {
|
|
|
+ // 日期只取第一个单元格中的
|
|
|
+ if k > 0 {
|
|
|
+ break
|
|
|
+ }
|
|
|
+ strDates := strings.TrimSpace(cell.GetString())
|
|
|
+ strDates = strings.ReplaceAll(strDates, "样本焦企炼焦煤库存", "")
|
|
|
+ strDates = strings.ReplaceAll(strDates, "\x00", "")
|
|
|
+ strDates = strings.ReplaceAll(strDates, "本焦企炼焦煤库存", "")
|
|
|
+ strDateArr := strings.Split(strDates, "-")
|
|
|
+ // 正常情况下, 长度不为2说明读取到了最后一行了
|
|
|
+ if len(strDateArr) != 2 {
|
|
|
+ utils.FileLog.Info(fmt.Sprintf("第%d行数据日期长度有误, 结束读取", i+1))
|
|
|
+ stop = true
|
|
|
+ break
|
|
|
+ }
|
|
|
+ t, e := time.Parse("2006.1.2", strDateArr[1])
|
|
|
+ if e != nil {
|
|
|
+ utils.FileLog.Info(fmt.Sprintf("第%d行数据日期有误, err: %s", i+1, e.Error()))
|
|
|
+ break
|
|
|
+ }
|
|
|
+ currDate = t.Format(utils.FormatDate)
|
|
|
+ }
|
|
|
+ }
|
|
|
+
|
|
|
+ // 第一个数据行/后续每4行取一次数据
|
|
|
+ if i == startDataRow || sumDataRow == 4 {
|
|
|
+ if currDate == "" {
|
|
|
+ utils.FileLog.Info(fmt.Sprintf("第%d行数据对应日期有误", i+1))
|
|
|
+ continue
|
|
|
+ }
|
|
|
+ sumDataRow = 0
|
|
|
+
|
|
|
+ for k, cell := range row.GetCols() {
|
|
|
+ if k >= maxCols {
|
|
|
+ break
|
|
|
+ }
|
|
|
+ if k == 0 {
|
|
|
+ continue
|
|
|
+ }
|
|
|
+ val := cell.GetFloat64()
|
|
|
+ // 保留4位小数
|
|
|
+ indexColIndex[k].ExcelDataMap[currDate] = fmt.Sprintf("%.4f", val)
|
|
|
+ }
|
|
|
+ // 重置日期
|
|
|
+ currDate = ""
|
|
|
+ }
|
|
|
+ }
|
|
|
+
|
|
|
+ indexes = make([]*models.FenweiExcelIndex, 0)
|
|
|
+ for _, v := range indexColIndex {
|
|
|
+ if v.IndexCode == "" {
|
|
|
+ continue
|
|
|
+ }
|
|
|
+ indexes = append(indexes, v)
|
|
|
+ }
|
|
|
+ return
|
|
|
+}
|
|
|
+
|
|
|
+// GetFenweiClassify 获取汾渭数据分类
|
|
|
+func GetFenweiClassify() (classifies []models.BaseFromFenweiClassifyItem, err error) {
|
|
|
+ params := make(map[string]interface{})
|
|
|
+ result, e := PostEdbLib(params, utils.LIB_ROUTE_FENWEI_CLASSIFY)
|
|
|
+ if e != nil {
|
|
|
+ b, _ := json.Marshal(params)
|
|
|
+ err = fmt.Errorf("GetFenweiClassify, PostEdbLib err: %s, params: %s", e.Error(), string(b))
|
|
|
+ return
|
|
|
+ }
|
|
|
+ resp := new(models.EdbLibFenweiClassifyResponse)
|
|
|
+ if e = json.Unmarshal(result, &resp); e != nil {
|
|
|
+ err = fmt.Errorf(fmt.Sprintf("GetFenweiClassify, json.Unmarshal err: %s", e.Error()))
|
|
|
+ return
|
|
|
+ }
|
|
|
+ if resp.Ret != 200 {
|
|
|
+ err = fmt.Errorf(fmt.Sprintf("GetFenweiClassify, Msg: %s, ErrMsg: %s", resp.Msg, resp.ErrMsg))
|
|
|
+ return
|
|
|
+ }
|
|
|
+ classifies = resp.Data
|
|
|
+ return
|
|
|
+}
|
|
|
+
|
|
|
+// GetFenweiIndexList 获取汾渭指标列表
|
|
|
+func GetFenweiIndexList() (list []models.BaseFromFenweiIndex, err error) {
|
|
|
+ params := make(map[string]interface{})
|
|
|
+ result, e := PostEdbLib(params, utils.LIB_ROUTE_FENWEI_INDEX_LIST)
|
|
|
+ if e != nil {
|
|
|
+ b, _ := json.Marshal(params)
|
|
|
+ err = fmt.Errorf("GetFenweiIndexList, PostEdbLib err: %s, params: %s", e.Error(), string(b))
|
|
|
+ return
|
|
|
+ }
|
|
|
+ resp := new(models.EdbLibFenweiIndexListResponse)
|
|
|
+ if e = json.Unmarshal(result, &resp); e != nil {
|
|
|
+ err = fmt.Errorf(fmt.Sprintf("GetFenweiIndexList, json.Unmarshal err: %s", e.Error()))
|
|
|
+ return
|
|
|
+ }
|
|
|
+ if resp.Ret != 200 {
|
|
|
+ err = fmt.Errorf(fmt.Sprintf("GetFenweiIndexList, Msg: %s, ErrMsg: %s", resp.Msg, resp.ErrMsg))
|
|
|
+ return
|
|
|
+ }
|
|
|
+ list = resp.Data
|
|
|
+ return
|
|
|
+}
|
|
|
+
|
|
|
+// AnalysisFenweiNewExcel 解析汾渭增量Excel数据
|
|
|
+func AnalysisFenweiNewExcel(filePath string) (err error) {
|
|
|
+ defer func() {
|
|
|
+ if err != nil {
|
|
|
+ fmt.Printf("AnalysisFenweiNewExcel ErrMsg: %s\n", err.Error())
|
|
|
+ utils.FileLog.Info(fmt.Sprintf("AnalysisFenweiNewExcel ErrMsg: %s", err.Error()))
|
|
|
+ }
|
|
|
+ }()
|
|
|
+
|
|
|
+ fileName := path.Base(filePath)
|
|
|
+ var indexes []*models.FenweiExcelIndex
|
|
|
+ var e error
|
|
|
+ if strings.Contains(fileName, FenweiExcelNameA) {
|
|
|
+ indexes, e = AnalysisFenweiNewExcelNormal(filePath, FenweiExcelNameA)
|
|
|
+ } else if strings.Contains(fileName, FenweiExcelNameB) {
|
|
|
+ indexes, e = AnalysisFenweiNewExcelNormal(filePath, FenweiExcelNameB)
|
|
|
+ } else if strings.Contains(fileName, FenweiNewExcelNameC) {
|
|
|
+ indexes, e = AnalysisFenweiNewExcelNormal(filePath, FenweiExcelNameC)
|
|
|
+ } else if strings.Contains(fileName, FenweiNewExcelNameD) {
|
|
|
+ indexes, e = AnalysisFenweiNewExcelNormal(filePath, FenweiExcelNameD)
|
|
|
+ } else if strings.Contains(fileName, FenweiExcelNameE) {
|
|
|
+ indexes, e = AnalysisFenweiExcelYangBen(filePath) // 样本焦化厂-增量数据和历史数据excel格式相同
|
|
|
+ } else {
|
|
|
+ utils.FileLog.Info(fmt.Sprintf("文件名有误, FileName: %s", fileName))
|
|
|
+ return
|
|
|
+ }
|
|
|
+ if e != nil {
|
|
|
+ utils.FileLog.Info(fmt.Sprintf("获取excel数据失败, FileName: %s, Err: %s", fileName, e))
|
|
|
+ return
|
|
|
+ }
|
|
|
+ if len(indexes) == 0 {
|
|
|
+ utils.FileLog.Info(fmt.Sprintf("fileName: %s, index empty", fileName))
|
|
|
+ return
|
|
|
+ }
|
|
|
+
|
|
|
+ // 写入数据
|
|
|
+ params := make(map[string]interface{})
|
|
|
+ params["List"] = indexes
|
|
|
+ params["TerminalCode"] = utils.TerminalCode
|
|
|
+ result, e := PostEdbLib(params, utils.LIB_ROUTE_FENWEI_HANDLE)
|
|
|
+ if e != nil {
|
|
|
+ b, _ := json.Marshal(params)
|
|
|
+ utils.FileLog.Info(fmt.Sprintf("fileName: %s, PostEdbLib err: %s, params: %s", fileName, e.Error(), string(b)))
|
|
|
+ return
|
|
|
+ }
|
|
|
+ resp := new(models.BaseEdbLibResponse)
|
|
|
+ if e := json.Unmarshal(result, &resp); e != nil {
|
|
|
+ utils.FileLog.Info(fmt.Sprintf("fileName: %s, json.Unmarshal err: %s", fileName, e.Error()))
|
|
|
+ return
|
|
|
+ }
|
|
|
+ if resp.Ret != 200 {
|
|
|
+ utils.FileLog.Info(fmt.Sprintf("fileName: %s, Msg: %s, ErrMsg: %s", fileName, resp.Msg, resp.ErrMsg))
|
|
|
+ return
|
|
|
+ }
|
|
|
+ return
|
|
|
+}
|
|
|
+
|
|
|
+// AnalysisFenweiNewExcelNormal 增量数据-动力煤/焦煤
|
|
|
+func AnalysisFenweiNewExcelNormal(filePath, excelName string) (indexes []*models.FenweiExcelIndex, err error) {
|
|
|
+ defer func() {
|
|
|
+ if err != nil {
|
|
|
+ fmt.Printf("AnalysisFenweiNewExcelNormal ErrMsg: %s\n", err.Error())
|
|
|
+ utils.FileLog.Info(fmt.Sprintf("AnalysisFenweiNewExcelNormal ErrMsg: %s", err.Error()))
|
|
|
+ }
|
|
|
+ }()
|
|
|
+
|
|
|
+ xlsFile, e := xlsx.OpenFile(filePath)
|
|
|
+ if e != nil {
|
|
|
+ err = fmt.Errorf("OpenFile Err: %s", e.Error())
|
|
|
+ return
|
|
|
+ }
|
|
|
+
|
|
|
+ // 获取存量指标, 增量数据只新增存量指标的数据
|
|
|
+ originIndexes, e := GetFenweiIndexList()
|
|
|
+ if e != nil {
|
|
|
+ err = fmt.Errorf("GetFenweiIndexList err: %s", e.Error())
|
|
|
+ return
|
|
|
+ }
|
|
|
+ indexMapping := make(map[string]models.BaseFromFenweiIndex)
|
|
|
+ for _, v := range originIndexes {
|
|
|
+ indexMapping[v.IndexCode] = v
|
|
|
+ }
|
|
|
+
|
|
|
+ diffNameReplace := FenweiNewDiffIndexNameReplaceMapping[excelName]
|
|
|
+ ignoreIndexName := FenweiNewIgnoreIndexNameMapping[excelName]
|
|
|
+ indexNameSuffix := FenweiNewIndexNameSuffixMapping[excelName]
|
|
|
+ var dataRowMin, dataRowMax int // 数据起始行数
|
|
|
+ if excelName == FenweiExcelNameA || excelName == FenweiExcelNameB {
|
|
|
+ dataRowMin = 3
|
|
|
+ dataRowMax = 6
|
|
|
+ }
|
|
|
+ if excelName == FenweiExcelNameC {
|
|
|
+ dataRowMin = 3
|
|
|
+ dataRowMax = 10
|
|
|
+ }
|
|
|
+ if excelName == FenweiExcelNameD {
|
|
|
+ dataRowMin = 3
|
|
|
+ dataRowMax = 13
|
|
|
+ }
|
|
|
+
|
|
|
+ var dataDate string
|
|
|
+ secondRowNames := make(map[int]string) // 第二行-指标名称的上半部分
|
|
|
+ thirdRowNames := make(map[int]string) // 第三行-指标名称的另一部分
|
|
|
+ indexes = make([]*models.FenweiExcelIndex, 0)
|
|
|
+ indexColIndex := make(map[string]*models.FenweiExcelIndex) // 行-列对应的指标
|
|
|
+ rowProvince := make(map[int]string) // 行对应的省份名
|
|
|
+ for _, sheet := range xlsFile.Sheet {
|
|
|
+ maxRow := sheet.MaxRow
|
|
|
+ for i := 0; i < maxRow; i++ {
|
|
|
+ cells := sheet.Row(i).Cells
|
|
|
+
|
|
|
+ // 首行为数据日期
|
|
|
+ if i == 0 {
|
|
|
+ for _, cell := range cells {
|
|
|
+ str := strings.TrimSpace(cell.String())
|
|
|
+ if str == "" {
|
|
|
+ continue
|
|
|
+ }
|
|
|
+ dateArr := strings.Split(str, "-")
|
|
|
+ if len(dateArr) != 2 {
|
|
|
+ err = fmt.Errorf("数据日期有误, len(dateArr): %d", len(dateArr))
|
|
|
+ return
|
|
|
+ }
|
|
|
+ t, e := time.ParseInLocation("2006.1.2", dateArr[1], time.Local)
|
|
|
+ if e != nil {
|
|
|
+ t, e = time.ParseInLocation("2006.01.02", dateArr[1], time.Local)
|
|
|
+ if e != nil {
|
|
|
+ err = fmt.Errorf("数据日期有误, date: %s", dateArr[1])
|
|
|
+ return
|
|
|
+ }
|
|
|
+ }
|
|
|
+ dataDate = t.Format(utils.FormatDate)
|
|
|
+ break
|
|
|
+ }
|
|
|
+ }
|
|
|
+
|
|
|
+ // 第二行-指标名称上半部分
|
|
|
+ if i == 1 {
|
|
|
+ for k, cell := range cells {
|
|
|
+ text := strings.TrimSpace(cell.String())
|
|
|
+ if k > 0 && text != "" {
|
|
|
+ // 纵向合并
|
|
|
+ if cell.VMerge > 0 {
|
|
|
+ thirdRowNames[k] = text
|
|
|
+ continue
|
|
|
+ }
|
|
|
+ secondRowNames[k] = text
|
|
|
+ // 横向合并
|
|
|
+ if cell.HMerge > 0 {
|
|
|
+ for j := 1; j <= cell.HMerge; j++ {
|
|
|
+ if secondRowNames[k+j] != "" {
|
|
|
+ continue
|
|
|
+ }
|
|
|
+ secondRowNames[k+j] = text
|
|
|
+ }
|
|
|
+ }
|
|
|
+ }
|
|
|
+ }
|
|
|
+ }
|
|
|
+
|
|
|
+ // 第三行-指标名称下半部分, 指标名称, 指标编码在这一步生成
|
|
|
+ if i == 2 {
|
|
|
+ for k, cell := range cells {
|
|
|
+ text := strings.TrimSpace(cell.String())
|
|
|
+ if k > 0 && text != "" {
|
|
|
+ thirdRowNames[k] = text
|
|
|
+ }
|
|
|
+ }
|
|
|
+ }
|
|
|
+
|
|
|
+ // 数据行
|
|
|
+ if i >= dataRowMin && i <= dataRowMax {
|
|
|
+ for k, cell := range cells {
|
|
|
+ text := strings.TrimSpace(cell.String())
|
|
|
+ if text == "" {
|
|
|
+ continue
|
|
|
+ }
|
|
|
+ // 第一个单元格为地区
|
|
|
+ if k == 0 {
|
|
|
+ if text == "合计" && (excelName == FenweiExcelNameA || excelName == FenweiExcelNameB) {
|
|
|
+ text = "三省合计"
|
|
|
+ }
|
|
|
+ rowProvince[i] = FenweiNewExcelProvinceMapping[text]
|
|
|
+ continue
|
|
|
+ }
|
|
|
+ rowsName := strings.TrimSpace(fmt.Sprint(secondRowNames[k], thirdRowNames[k]))
|
|
|
+ rowsName = strings.ReplaceAll(rowsName, "\n", "")
|
|
|
+ namePrefix := diffNameReplace[rowsName]
|
|
|
+ if namePrefix == "" {
|
|
|
+ namePrefix = rowsName
|
|
|
+ }
|
|
|
+ // 忽略部分名称
|
|
|
+ if utils.InArrayByStr(ignoreIndexName, namePrefix) {
|
|
|
+ continue
|
|
|
+ }
|
|
|
+ indexName := fmt.Sprintf("%s%s%s", rowProvince[i], namePrefix, indexNameSuffix)
|
|
|
+ //fmt.Printf("k: %d, %s\n", k, indexName)
|
|
|
+ name := strings.ReplaceAll(indexName, "/", "")
|
|
|
+ var middle, suffix string
|
|
|
+ for _, p := range FenweiProvinces {
|
|
|
+ // 此处山西其他可能会被错误的给鉴别为山西, 所以优先鉴别一下山西其他
|
|
|
+ if strings.Contains(name, "山西其他") {
|
|
|
+ middle = utils.GetFullPingYin("山西其他")
|
|
|
+ name = strings.ReplaceAll(name, p, "")
|
|
|
+ break
|
|
|
+ }
|
|
|
+ if strings.Contains(name, p) {
|
|
|
+ middle = utils.GetFullPingYin(p)
|
|
|
+ name = strings.ReplaceAll(name, p, "")
|
|
|
+ break
|
|
|
+ }
|
|
|
+ }
|
|
|
+ if middle == "" {
|
|
|
+ utils.FileLog.Info(fmt.Sprintf("指标名称转换编码有误, IndexName: %s", indexName))
|
|
|
+ continue
|
|
|
+ }
|
|
|
+ suffix = utils.GetFirstPingYin(name)
|
|
|
+ indexCode := fmt.Sprint(FenweiIndexNamePrefix, middle, suffix)
|
|
|
+
|
|
|
+ // 根据转换的编码, 匹配存量指标, 无则忽略
|
|
|
+ originIndex := indexMapping[indexCode]
|
|
|
+ if originIndex.FenweiIndexId <= 0 {
|
|
|
+ utils.FileLog.Info(fmt.Sprintf("无对应存量指标, IndexName: %s, IndexCode: %s", indexName, indexCode))
|
|
|
+ continue
|
|
|
+ }
|
|
|
+ indexKey := fmt.Sprintf("%d-%d", i, k)
|
|
|
+ if indexColIndex[indexKey] == nil {
|
|
|
+ indexColIndex[indexKey] = new(models.FenweiExcelIndex)
|
|
|
+ indexColIndex[indexKey].TerminalCode = utils.TerminalCode
|
|
|
+ indexColIndex[indexKey].ClassifyId = originIndex.ClassifyId
|
|
|
+ indexColIndex[indexKey].Frequency = originIndex.Frequency
|
|
|
+ indexColIndex[indexKey].Unit = originIndex.Unit
|
|
|
+ indexColIndex[indexKey].IndexName = indexName
|
|
|
+ indexColIndex[indexKey].IndexCode = indexCode
|
|
|
+ indexColIndex[indexKey].ExcelDataMap = make(map[string]string)
|
|
|
+ indexColIndex[indexKey].ExcelDataMap[dataDate] = text
|
|
|
+ }
|
|
|
+ }
|
|
|
+ }
|
|
|
+ }
|
|
|
+
|
|
|
+ // 只读取第一个sheet
|
|
|
+ break
|
|
|
+ }
|
|
|
+
|
|
|
+ for _, v := range indexColIndex {
|
|
|
+ if v.IndexCode == "" {
|
|
|
+ continue
|
|
|
+ }
|
|
|
+ indexes = append(indexes, v)
|
|
|
+ }
|
|
|
+ return
|
|
|
+}
|
