Files
go/internal/service/limit_board_overview_service.go
T
yang d5c053e59d 1、新增二板炸板情况统计;
2、更新项目结构;
2026-05-09 16:59:45 +08:00

232 lines
6.5 KiB
Go

package service
import (
"sort"
"level_go/internal/model"
)
type limitBoardHistoryRow struct {
TsCode string `gorm:"column:ts_code"`
TradeDate string `gorm:"column:trade_date"`
}
func (s *LimitBoardService) GetLimitBoardOverview(tradeDate string) (model.LimitBoardResponse, error) {
resp := model.LimitBoardResponse{TradeDate: tradeDate}
tradeDates, dateIndex, err := s.loadTradeCalendar(tradeDate)
if err != nil {
return resp, err
}
if dateIndex == -1 {
return resp, nil
}
resp.RecentMaxBoardStats, err = s.buildRecentMaxBoardStats(tradeDates, dateIndex)
if err != nil {
return resp, err
}
limitStocks, err := s.loadCurrentLimitStocks(tradeDate)
if err != nil {
return resp, err
}
if len(limitStocks) == 0 {
return resp, nil
}
historyMap, err := s.loadLimitHistory(limitStocks, tradeDate)
if err != nil {
return resp, err
}
groupMap, maxBoardCount := buildLimitBoardGroups(limitStocks, tradeDates, dateIndex, historyMap)
resp.Groups = sortLimitBoardGroups(groupMap)
resp.Summary = model.LimitBoardSummary{
MaxBoardCount: maxBoardCount,
LimitCount: len(limitStocks),
GroupCount: len(resp.Groups),
}
return resp, nil
}
func (s *LimitBoardService) buildRecentMaxBoardStats(tradeDates []string, dateIndex int) ([]model.LimitBoardDailyMax, error) {
startIndex := 0
if dateIndex >= 29 {
startIndex = dateIndex - 29
}
windowDates := tradeDates[startIndex : dateIndex+1]
if len(windowDates) == 0 {
return []model.LimitBoardDailyMax{}, nil
}
var history []limitBoardHistoryRow
if err := s.DB.Table(stockLimitCombinedTable).
Select("ts_code, DATE_FORMAT(trade_date, '%Y-%m-%d') AS trade_date").
Where("trade_date BETWEEN ? AND ? AND final_status = ?", windowDates[0], windowDates[len(windowDates)-1], 1).
Order("ts_code ASC, trade_date ASC").
Scan(&history).Error; err != nil {
return nil, err
}
dateByCode := make(map[string]map[string]struct{})
for _, item := range history {
if _, ok := dateByCode[item.TsCode]; !ok {
dateByCode[item.TsCode] = make(map[string]struct{})
}
dateByCode[item.TsCode][item.TradeDate] = struct{}{}
}
maxBoardByDate := make(map[string]int, len(windowDates))
for _, tradeDate := range windowDates {
maxBoardByDate[tradeDate] = 0
}
for _, limitDates := range dateByCode {
for idx, tradeDate := range windowDates {
if _, ok := limitDates[tradeDate]; !ok {
continue
}
boardCount := 0
for j := idx; j >= 0; j-- {
if _, ok := limitDates[windowDates[j]]; !ok {
break
}
boardCount++
}
if boardCount > maxBoardByDate[tradeDate] {
maxBoardByDate[tradeDate] = boardCount
}
}
}
stats := make([]model.LimitBoardDailyMax, 0, len(windowDates))
for _, tradeDate := range windowDates {
stats = append(stats, model.LimitBoardDailyMax{
TradeDate: tradeDate,
MaxBoardCount: maxBoardByDate[tradeDate],
})
}
return stats, nil
}
func (s *LimitBoardService) loadCurrentLimitStocks(tradeDate string) ([]model.LimitBoardStock, error) {
var stocks []model.LimitBoardStock
query := `SELECT
l.symbol,
l.ts_code,
l.name,
COALESCE(l.market, '') AS market,
DATE_FORMAT(l.trade_date, '%Y-%m-%d') AS trade_date,
COALESCE(l.calc_close, l.tushare_close, d.close, 0) AS close,
COALESCE(l.calc_limit_price, 0) AS limit_price,
COALESCE(l.tushare_pct_chg, d.pct_chg, 0) AS pct_chg,
l.tushare_amount AS ak_amount,
l.tushare_float_mv AS ak_float_market_value,
l.tushare_total_mv AS ak_total_market_value,
l.tushare_turnover_ratio AS ak_turnover_rate,
l.tushare_fd_amount AS ak_seal_amount,
l.tushare_first_time AS ak_first_limit_time,
l.tushare_last_time AS ak_last_limit_time,
l.tushare_open_times AS ak_break_limit_count,
l.tushare_up_stat AS ak_limit_up_stat,
l.tushare_limit_times AS ak_limit_up_days,
l.tushare_industry AS ak_industry,
l.calc_vol AS vol
FROM stock_limit_combined_data l
LEFT JOIN stock_daily d
ON l.ts_code = d.ts_code AND d.trade_date = l.trade_date
WHERE l.trade_date = ? AND l.final_status = 1
ORDER BY d.pct_chg DESC, l.ts_code ASC`
err := s.DB.Raw(query, tradeDate).Scan(&stocks).Error
return stocks, err
}
func (s *LimitBoardService) loadLimitHistory(stocks []model.LimitBoardStock, tradeDate string) (map[string]map[string]struct{}, error) {
codes := make([]string, 0, len(stocks))
for _, stock := range stocks {
codes = append(codes, stock.TsCode)
}
var history []limitBoardHistoryRow
if err := s.DB.Table(stockLimitCombinedTable).
Select("ts_code, DATE_FORMAT(trade_date, '%Y-%m-%d') AS trade_date").
Where("ts_code IN ? AND trade_date <= ? AND final_status = ?", codes, tradeDate, 1).
Scan(&history).Error; err != nil {
return nil, err
}
historyMap := make(map[string]map[string]struct{}, len(codes))
for _, item := range history {
if _, ok := historyMap[item.TsCode]; !ok {
historyMap[item.TsCode] = make(map[string]struct{})
}
historyMap[item.TsCode][item.TradeDate] = struct{}{}
}
return historyMap, nil
}
func buildLimitBoardGroups(stocks []model.LimitBoardStock, tradeDates []string, dateIndex int, historyMap map[string]map[string]struct{}) (map[int][]model.LimitBoardStock, int) {
groupMap := make(map[int][]model.LimitBoardStock)
maxBoardCount := 0
for i := range stocks {
boardCount := calcBoardCount(tradeDates, dateIndex, historyMap[stocks[i].TsCode])
stocks[i].BoardCount = boardCount
stocks[i].BoardLabel = boardLabel(boardCount)
stocks[i].DisplayStatus = boardLabel(boardCount)
if boardCount > maxBoardCount {
maxBoardCount = boardCount
}
groupMap[boardCount] = append(groupMap[boardCount], stocks[i])
}
return groupMap, maxBoardCount
}
func calcBoardCount(tradeDates []string, dateIndex int, limitDates map[string]struct{}) int {
boardCount := 0
for i := dateIndex; i >= 0; i-- {
if _, ok := limitDates[tradeDates[i]]; !ok {
break
}
boardCount++
}
return boardCount
}
func sortLimitBoardGroups(groupMap map[int][]model.LimitBoardStock) []model.LimitBoardGroup {
boardCounts := make([]int, 0, len(groupMap))
for boardCount := range groupMap {
boardCounts = append(boardCounts, boardCount)
}
sort.Sort(sort.Reverse(sort.IntSlice(boardCounts)))
groups := make([]model.LimitBoardGroup, 0, len(boardCounts))
for _, boardCount := range boardCounts {
stocks := groupMap[boardCount]
sort.Slice(stocks, func(i, j int) bool {
if stocks[i].PctChg == stocks[j].PctChg {
return stocks[i].TsCode < stocks[j].TsCode
}
return stocks[i].PctChg > stocks[j].PctChg
})
groups = append(groups, model.LimitBoardGroup{
BoardCount: boardCount,
Label: boardLabel(boardCount),
Count: len(stocks),
Stocks: stocks,
})
}
return groups
}