AskaEth
6bd7bd1627
口径（用户确认）： - 个人分按个人成绩排名给，**不计入单位总分**（下沉到通道级开关，不再动全局系数） - 团体成绩 = 每队成员成绩的**平均值** → 排名（并列顺延）→ 团体模板给分 → 计入单位总分 - 平均值口径是**小项级单选项**：默认「只算有效成绩」；「全部报名人员计入」= 分母为报名条数、 没成绩按 0 加入分子；在**成绩录入页**就地切换并立即保存 服务端： - 迁移 0017：score_ledger 加 count_to_team（重建，无子表）；event_score_channels 加 count_to_team； events 加 avg_mode（默认 valid） - 规则包 Channel 加 countToTeam（缺省 true）；channelTemplates 支持 individual_team → 默认 athlete(result, 不计入单位) + team(aggregate 队内平均) - 计分引擎：SumByTeam 跳过 count_to_team=0 的流水；实现 basis=aggregate 的队内平均团体排名 （valid 分母=有有效成绩人数；all 分母=报名人数；某队 0 有效成绩不参与） 前端： - 计分通道页：每行通道「计入单位总分」勾选 + basis 下拉「按队内平均」 - 成绩录入页：仅有队内平均通道的小项显示「平均值口径」单选（默认只算有效成绩），改动即存 - 录入页「实时积分预览」按新口径对齐（原先按主体求和且双通道重复计入，与发布后不一致） - 大屏/管理端团体成绩只显示数值，不出现「平均」字样 自检：服务端 12 包全绿；前端 vue-tsc + build、node --test 134/134；console 16 文件通过。
843 lines
31 KiB
Go
843 lines
31 KiB
Go
package domain
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import (
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"errors"
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"testing"
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)
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// TestGroupPointsTieModes 直接验证「一组并列者拿多少分」的分支，覆盖三种口径与边界。
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func TestGroupPointsTieModes(t *testing.T) {
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ev := individualEvent(1)
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cat := testCategory()
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cases := []struct {
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name string
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profile ScoringProfile
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start int
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size int
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last int
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want float64
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}{
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{"skip 单人第1", nineProfile(TieSkip), 1, 1, 8, 9},
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{"skip 单人第2", nineProfile(TieSkip), 2, 1, 8, 7},
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{"skip 两人并列第2", nineProfile(TieSkip), 2, 2, 8, 7},
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{"average 两人并列第2", nineProfile(TieAverage), 2, 2, 8, 6.5},
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{"higher 两人并列第2", nineProfile(TieHigher), 2, 2, 8, 7},
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{"skip 三人并列第3", nineProfile(TieSkip), 3, 3, 8, 6},
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{"average 三人并列第3", nineProfile(TieAverage), 3, 3, 8, 5},
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{"higher 三人并列第3", nineProfile(TieHigher), 3, 3, 8, 6},
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{"average 两人并列第6", nineProfile(TieAverage), 6, 2, 8, 2.5},
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{"higher 两人并列第6", nineProfile(TieHigher), 6, 2, 8, 3},
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{"skip 超出录取名次", nineProfile(TieSkip), 9, 1, 9, 0},
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{"空模板口径按 skip", ScoringProfile{AwardRanks: 8, Rules: nineProfile(TieSkip).Rules}, 2, 1, 8, 7},
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{"lastPlaceZero 抹掉最后一名", ScoringProfile{AwardRanks: 8, LastPlaceZero: true, Rules: nineProfile(TieSkip).Rules}, 1, 1, 1, 0},
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{"lastPlaceZero 抹掉并列末位整组", ScoringProfile{AwardRanks: 8, LastPlaceZero: true, Rules: nineProfile(TieSkip).Rules}, 2, 2, 3, 0},
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{"权重相乘", nineProfile(TieSkip), 1, 1, 8, 9},
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}
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for _, tc := range cases {
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t.Run(tc.name, func(t *testing.T) {
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got := groupPoints(tc.profile, tc.start, tc.size, tc.last, ev, cat)
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if !nearlyEqual(got, tc.want) {
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t.Fatalf("groupPoints = %v，期望 %v", got, tc.want)
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}
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})
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}
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t.Run("项目与组别权重相乘", func(t *testing.T) {
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ev := individualEvent(2)
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cat := EventCategory{ID: 1, Multiplier: 3}
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got := groupPoints(nineProfile(TieSkip), 1, 1, 8, ev, cat)
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if !nearlyEqual(got, 54) {
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t.Fatalf("9 × 2 × 3 = %v，期望 54", got)
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}
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})
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}
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// TestAwardRanksAndLastPlaceZero 覆盖录取名次与「最后一名 0 分」的组合边界。
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func TestAwardRanksAndLastPlaceZero(t *testing.T) {
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cases := []struct {
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name string
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profile ScoringProfile
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n int
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want []float64
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}{
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{
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"录取6名，7人参赛，末位不强制0",
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ScoringProfile{AwardRanks: 6, Rules: individualTop6().Rules},
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7, []float64{10, 8, 6, 3, 2, 1, 0},
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},
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{
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"录取6名，7人参赛，末位强制0",
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ScoringProfile{AwardRanks: 6, LastPlaceZero: true, Rules: individualTop6().Rules},
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7, []float64{10, 8, 6, 3, 2, 1, 0},
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},
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{
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"录取6名，5人参赛，末位不强制0",
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ScoringProfile{AwardRanks: 6, Rules: individualTop6().Rules},
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5, []float64{10, 8, 6, 3, 2},
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},
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{
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"录取6名，5人参赛，末位强制0",
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ScoringProfile{AwardRanks: 6, LastPlaceZero: true, Rules: individualTop6().Rules},
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5, []float64{10, 8, 6, 3, 0},
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},
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{
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"只录取3名",
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ScoringProfile{AwardRanks: 3, Rules: individualTop6().Rules},
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5, []float64{10, 8, 6, 0, 0},
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},
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{
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"不配录取名次时以表为准",
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ScoringProfile{Rules: individualTop6().Rules},
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8, []float64{10, 8, 6, 3, 2, 1, 0, 0},
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},
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{
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"仅1人参赛且末位强制0",
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ScoringProfile{AwardRanks: 6, LastPlaceZero: true, Rules: individualTop6().Rules},
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1, []float64{0},
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},
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}
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for _, tc := range cases {
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t.Run(tc.name, func(t *testing.T) {
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entries, results := fixture(lineup(tc.n))
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es := mustScore(t, EventScoreInput{
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Event: individualEvent(1), Category: testCategory(),
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Channels: []ScoreChannel{athleteResultChannel(9)},
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Profiles: map[int64]ScoringProfile{9: tc.profile},
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Entries: entries, Results: results,
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})
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assertEntryPoints(t, pointsByEntry(es.Ledger), tc.want)
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})
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}
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}
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// TestMultiplierCombinations 验证「积分表 × 项目权重 × 组别权重」，权重缺失按 1。
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func TestMultiplierCombinations(t *testing.T) {
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cases := []struct {
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name string
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eventMult float64
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categoryMult float64
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want float64
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}{
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{"默认 1×1", 1, 1, 10},
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{"项目权重 2", 2, 1, 20},
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{"组别权重 2", 1, 2, 20},
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{"双权重 2×3", 2, 3, 60},
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{"权重缺失按 1", 0, 0, 10},
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{"项目权重 0.5", 0.5, 1, 5},
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}
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for _, tc := range cases {
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t.Run(tc.name, func(t *testing.T) {
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entries, results := fixture(lineup(1))
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es := mustScore(t, EventScoreInput{
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Event: individualEvent(tc.eventMult),
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Category: EventCategory{ID: 1, Multiplier: tc.categoryMult},
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Channels: []ScoreChannel{athleteResultChannel(1)},
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Profiles: map[int64]ScoringProfile{1: individualTop6()},
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Entries: entries, Results: results,
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})
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if got := pointsByEntry(es.Ledger)[1]; !nearlyEqual(got, tc.want) {
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t.Fatalf("积分 = %v，期望 %v", got, tc.want)
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}
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})
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}
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}
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// TestScopeAndLedgerAttribution 验证通道 scope 决定流水记给个人还是单位。
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func TestScopeAndLedgerAttribution(t *testing.T) {
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t.Run("athlete 通道记到个人", func(t *testing.T) {
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entries, results := fixture(lineup(1))
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es := mustScore(t, EventScoreInput{
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Event: individualEvent(1), Category: testCategory(),
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Channels: []ScoreChannel{athleteResultChannel(1)},
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Profiles: map[int64]ScoringProfile{1: individualTop6()},
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Entries: entries, Results: results,
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})
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e := es.Ledger[0]
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if e.AthleteID != 101 || e.TeamID != 1001 {
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t.Fatalf("流水归属 = 单位 %d / 个人 %d，期望 1001/101", e.TeamID, e.AthleteID)
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}
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})
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t.Run("team 通道仅记单位", func(t *testing.T) {
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ps := lineup(1)
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ps[0].rank = 1
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entries, results := fixture(ps)
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es := mustScore(t, EventScoreInput{
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Event: teamEvent(1), Category: testCategory(),
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Channels: []ScoreChannel{teamManualChannel(2)},
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Profiles: map[int64]ScoringProfile{2: teamTop6()},
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Entries: entries, Results: results,
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})
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if es.Ledger[0].AthleteID != 0 {
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t.Fatalf("team 通道的 AthleteID = %d，期望 0", es.Ledger[0].AthleteID)
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}
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if !nearlyEqual(es.Ledger[0].Points, 15) {
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t.Fatalf("团体第一名积分 = %v，期望 15", es.Ledger[0].Points)
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}
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})
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t.Run("athlete 通道但报名项无运动员时退化为单位流水", func(t *testing.T) {
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entries, results := fixture([]participant{{entryID: 1, teamID: 1001, value: 1}})
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es := mustScore(t, EventScoreInput{
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Event: individualEvent(1), Category: testCategory(),
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Channels: []ScoreChannel{athleteResultChannel(1)},
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Profiles: map[int64]ScoringProfile{1: individualTop6()},
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Entries: entries, Results: results,
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})
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if es.Ledger[0].AthleteID != 0 {
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t.Fatalf("无运动员的报名项 AthleteID = %d，期望 0", es.Ledger[0].AthleteID)
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}
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})
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}
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// TestAggregateChannel 覆盖 aggregate 通道：先按主体取平均、再排名。
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func TestAggregateChannel(t *testing.T) {
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build := func() ([]Entry, []Result) {
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return fixture([]participant{
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{entryID: 1, athleteID: 1, teamID: 1001, value: 1},
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{entryID: 2, athleteID: 2, teamID: 1001, value: 2},
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{entryID: 3, athleteID: 3, teamID: 1002, value: 4},
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})
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}
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cases := []struct {
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name string
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compare CompareMode
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wantA float64
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wantB float64
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}{
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{"平均后升序", CompareAsc, 15, 10},
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{"平均后降序", CompareDesc, 10, 15},
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}
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for _, tc := range cases {
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t.Run(tc.name, func(t *testing.T) {
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entries, results := build()
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ev := teamEvent(1)
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ev.Compare = tc.compare
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es := mustScore(t, EventScoreInput{
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Event: ev, Category: testCategory(),
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Channels: []ScoreChannel{teamAggregateChannel(2)},
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Profiles: map[int64]ScoringProfile{2: teamTop6()},
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Entries: entries, Results: results,
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})
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got := pointsByTeam(es.Ledger)
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if !nearlyEqual(got[1001], tc.wantA) || !nearlyEqual(got[1002], tc.wantB) {
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t.Fatalf("聚合排名 = %v，期望 1001:%v / 1002:%v", got, tc.wantA, tc.wantB)
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}
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})
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}
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t.Run("平均后同分并列顺延", func(t *testing.T) {
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// 1001 两人平均 (2+6)/2 = 4，与 1002 的 4 并列。
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entries, results := fixture([]participant{
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{entryID: 1, athleteID: 1, teamID: 1001, value: 2},
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{entryID: 2, athleteID: 2, teamID: 1001, value: 6},
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{entryID: 3, athleteID: 3, teamID: 1002, value: 4},
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})
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es := mustScore(t, EventScoreInput{
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Event: teamEvent(1), Category: testCategory(),
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Channels: []ScoreChannel{teamAggregateChannel(2)},
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Profiles: map[int64]ScoringProfile{2: teamTop6()},
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Entries: entries, Results: results,
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})
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got := pointsByTeam(es.Ledger)
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if !nearlyEqual(got[1001], 15) || !nearlyEqual(got[1002], 15) {
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t.Fatalf("同分并列 = %v，期望各 15", got)
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}
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for _, rr := range es.Ranked {
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if rr.Scope != ScopeTeam || rr.Rank != 1 {
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t.Fatalf("并列名次 = %+v，期望同为第 1 名", rr)
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}
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}
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})
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}
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// TestAggregateAvgMode 覆盖聚合通道的平均值分母口径：
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// valid 只算有有效成绩的人，all 把没成绩的人按 0 计入（分母 = 报名人数）。
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func TestAggregateAvgMode(t *testing.T) {
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// 1001 一人有成绩（10）、一人没成绩；1002 两人各 4 / 6。
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// valid：1001 平均 10，1002 平均 5 → 1002 第一；
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// all：1001 平均 10/2 = 5，与 1002 并列 → 各得第一名。
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noValueBuild := func() ([]Entry, []Result) {
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return fixture([]participant{
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{entryID: 1, athleteID: 1, teamID: 1001, value: 10},
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{entryID: 2, athleteID: 2, teamID: 1001, noValue: true},
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{entryID: 3, athleteID: 3, teamID: 1002, value: 4},
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{entryID: 4, athleteID: 4, teamID: 1002, value: 6},
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})
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}
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// 1001 的第二个报名项连成绩行都没有（现场最常见的「没录成绩」）：
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// valid：1001 平均 10，1002 平均 6 → 1002 第一；all：1001 平均 10/2 = 5 → 1001 第一。
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missingBuild := func() ([]Entry, []Result) {
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return []Entry{
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{ID: 1, EventID: 1, CategoryID: 1, TeamID: 1001, AthleteID: 1, AthleteName: "甲"},
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{ID: 2, EventID: 1, CategoryID: 1, TeamID: 1001, AthleteID: 2, AthleteName: "乙"},
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{ID: 3, EventID: 1, CategoryID: 1, TeamID: 1002, AthleteID: 3, AthleteName: "丙"},
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}, []Result{
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{ID: 100, EventID: 1, EntryID: 1, ResultValue: ptr(10), State: ResultStatePublished},
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{ID: 300, EventID: 1, EntryID: 3, ResultValue: ptr(6), State: ResultStatePublished},
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}
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}
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cases := []struct {
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name string
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build func() ([]Entry, []Result)
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mode AvgMode
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firstID int64
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want1001 float64
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want1002 float64
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}{
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{"只算有成绩的人", noValueBuild, AvgModeValid, 1002, 10, 15},
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{"没成绩的按 0 计入", noValueBuild, AvgModeAll, 0, 15, 15},
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{"未录成绩也算分母（valid）", missingBuild, AvgModeValid, 1002, 10, 15},
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{"未录成绩也算分母（all）", missingBuild, AvgModeAll, 1001, 15, 10},
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}
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for _, tc := range cases {
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t.Run(tc.name, func(t *testing.T) {
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entries, results := tc.build()
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ev := teamEvent(1)
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ev.AvgMode = tc.mode
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es := mustScore(t, EventScoreInput{
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Event: ev, Category: testCategory(),
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Channels: []ScoreChannel{teamAggregateChannel(2)},
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Profiles: map[int64]ScoringProfile{2: teamTop6()},
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Entries: entries, Results: results,
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})
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got := pointsByTeam(es.Ledger)
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if !nearlyEqual(got[1001], tc.want1001) || !nearlyEqual(got[1002], tc.want1002) {
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t.Fatalf("平均口径 %s 得分 = %v，期望 1001:%v / 1002:%v", tc.mode, got, tc.want1001, tc.want1002)
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}
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if tc.firstID != 0 {
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for _, rr := range es.Ranked {
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if rr.TeamID == tc.firstID && rr.Rank != 1 {
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t.Fatalf("单位 %d 名次 = %d，期望第 1 名", tc.firstID, rr.Rank)
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}
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}
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}
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})
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}
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t.Run("全队都没有有效成绩时不参与团体排名", func(t *testing.T) {
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entries, results := fixture([]participant{
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{entryID: 1, athleteID: 1, teamID: 1001, noValue: true},
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{entryID: 2, athleteID: 2, teamID: 1001, status: ResultStatusDNS},
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{entryID: 3, athleteID: 3, teamID: 1002, value: 6},
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{entryID: 4, athleteID: 4, teamID: 1002, value: 8},
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})
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ev := teamEvent(1)
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ev.AvgMode = AvgModeValid
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es := mustScore(t, EventScoreInput{
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Event: ev, Category: testCategory(),
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Channels: []ScoreChannel{teamAggregateChannel(2)},
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Profiles: map[int64]ScoringProfile{2: teamTop6()},
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Entries: entries, Results: results,
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})
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got := pointsByTeam(es.Ledger)
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if _, ok := got[1001]; ok {
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t.Fatalf("无有效成绩的单位不应得分，实际 %v", got)
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}
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if !nearlyEqual(got[1002], 15) {
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t.Fatalf("1002 得分 = %v，期望 15（顺延后独占第一）", got[1002])
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}
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for _, rr := range es.Ranked {
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if rr.TeamID == 1001 {
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t.Fatalf("无有效成绩的单位不应上榜：%+v", rr)
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}
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}
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})
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}
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// TestAggregateChannelCountToTeam 覆盖「个人+团体」双通道：
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// 个人通道的流水只记个人（count_to_team = 0），团体聚合通道的流水进单位总分。
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func TestAggregateChannelCountToTeam(t *testing.T) {
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entries, results := fixture([]participant{
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{entryID: 1, athleteID: 1, teamID: 1001, value: 12},
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{entryID: 2, athleteID: 2, teamID: 1001, value: 14},
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{entryID: 3, athleteID: 3, teamID: 1002, value: 13},
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})
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notTeam := false
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es := mustScore(t, EventScoreInput{
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Event: teamEvent(1), Category: testCategory(),
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Channels: []ScoreChannel{
|
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{ID: 1, EventID: 1, Scope: ScopeAthlete, Basis: BasisResult, ProfileID: 1, CountToTeam: ¬Team},
|
||
teamAggregateChannel(2),
|
||
},
|
||
Profiles: map[int64]ScoringProfile{1: individualTop6(), 2: teamTop6()},
|
||
Entries: entries, Results: results,
|
||
})
|
||
|
||
var personal, teamLedger []LedgerEntry
|
||
for _, l := range es.Ledger {
|
||
if l.CountToTeam {
|
||
teamLedger = append(teamLedger, l)
|
||
} else {
|
||
personal = append(personal, l)
|
||
}
|
||
}
|
||
if len(personal) != 3 {
|
||
t.Fatalf("个人通道流水 = %d 条，期望 3 条", len(personal))
|
||
}
|
||
for _, l := range personal {
|
||
if l.AthleteID == 0 {
|
||
t.Fatalf("个人通道流水应记在个人头上：%+v", l)
|
||
}
|
||
}
|
||
// 个人通道的 10/8/6 分不进单位总分；团体通道各队平均 13 / 13 → 并列各 15。
|
||
sums := SumByTeam(es.Ledger, 1)
|
||
if !nearlyEqual(sums[1001].Total, 15) || !nearlyEqual(sums[1002].Total, 15) {
|
||
t.Fatalf("单位总分 = %+v，期望各 15（个人通道不计入）", sums)
|
||
}
|
||
if !nearlyEqual(sums[1001].Individual, 0) {
|
||
t.Fatalf("不计入单位总分的个人流水被算进 Individual：%+v", sums[1001])
|
||
}
|
||
// 个人榜照常算上个人通道的分：12/13/14 米按升序拿 10/8/6。
|
||
athletePoints := SumByAthlete(es.Ledger)
|
||
if !nearlyEqual(athletePoints[1], 10) || !nearlyEqual(athletePoints[3], 8) || !nearlyEqual(athletePoints[2], 6) {
|
||
t.Fatalf("个人榜 = %v，期望 1:10 / 3:8 / 2:6", athletePoints)
|
||
}
|
||
if len(teamLedger) != 2 {
|
||
t.Fatalf("团体通道流水 = %d 条，期望 2 条", len(teamLedger))
|
||
}
|
||
}
|
||
|
||
// TestStatusExclusions 覆盖弃权 / DNS / DSQ 等「0 分且不占名次」的情形。
|
||
func TestStatusExclusions(t *testing.T) {
|
||
cases := []struct {
|
||
name string
|
||
status ResultStatus
|
||
entryStatus EntryStatus
|
||
state ResultState
|
||
want []float64
|
||
}{
|
||
{"成绩 ok", ResultStatusOK, "", "", []float64{10, 8, 6}},
|
||
{"成绩状态空值按 ok", "", "", "", []float64{10, 8, 6}},
|
||
{"成绩 DSQ", ResultStatusDQ, "", "", []float64{10, 0, 8}},
|
||
{"成绩 DNS", ResultStatusDNS, "", "", []float64{10, 0, 8}},
|
||
{"成绩 DNF", ResultStatusDNF, "", "", []float64{10, 0, 8}},
|
||
{"成绩 withdrawn", ResultStatusWithdrawn, "", "", []float64{10, 0, 8}},
|
||
{"报名 scratched", "", EntryStatusScratched, "", []float64{10, 0, 8}},
|
||
{"报名 dq", "", EntryStatusDQ, "", []float64{10, 0, 8}},
|
||
{"报名 dns", "", EntryStatusDNS, "", []float64{10, 0, 8}},
|
||
}
|
||
for _, tc := range cases {
|
||
t.Run(tc.name, func(t *testing.T) {
|
||
ps := lineup(3)
|
||
ps[1].status = tc.status
|
||
ps[1].entryStatus = tc.entryStatus
|
||
ps[1].state = tc.state
|
||
entries, results := fixture(ps)
|
||
es := mustScore(t, EventScoreInput{
|
||
Event: individualEvent(1), Category: testCategory(),
|
||
Channels: []ScoreChannel{athleteResultChannel(1)},
|
||
Profiles: map[int64]ScoringProfile{1: individualTop6()},
|
||
Entries: entries, Results: results,
|
||
})
|
||
assertEntryPoints(t, pointsByEntry(es.Ledger), tc.want)
|
||
})
|
||
}
|
||
}
|
||
|
||
// TestDraftState 验证草稿不参与计分，除非显式要求。
|
||
func TestDraftState(t *testing.T) {
|
||
cases := []struct {
|
||
name string
|
||
state ResultState
|
||
includeDrafts bool
|
||
want []float64
|
||
}{
|
||
{"草稿默认不计分", ResultStateDraft, false, []float64{10, 0, 8}},
|
||
{"草稿显式计入", ResultStateDraft, true, []float64{10, 8, 6}},
|
||
{"已发布正常计分", ResultStatePublished, false, []float64{10, 8, 6}},
|
||
{"状态空值按已发布", "", false, []float64{10, 8, 6}},
|
||
}
|
||
for _, tc := range cases {
|
||
t.Run(tc.name, func(t *testing.T) {
|
||
ps := lineup(3)
|
||
ps[1].state = tc.state
|
||
entries, results := fixture(ps)
|
||
es := mustScore(t, EventScoreInput{
|
||
Event: individualEvent(1), Category: testCategory(),
|
||
Channels: []ScoreChannel{athleteResultChannel(1)},
|
||
Profiles: map[int64]ScoringProfile{1: individualTop6()},
|
||
Entries: entries, Results: results,
|
||
Options: ScoreOptions{IncludeDrafts: tc.includeDrafts},
|
||
})
|
||
assertEntryPoints(t, pointsByEntry(es.Ledger), tc.want)
|
||
})
|
||
}
|
||
}
|
||
|
||
// TestScoredFlagAndNoChannels 验证「只排名不计分」：不产生流水，但必须照样产出名次。
|
||
func TestScoredFlagAndNoChannels(t *testing.T) {
|
||
cases := []struct {
|
||
name string
|
||
scored bool
|
||
channels []ScoreChannel
|
||
}{
|
||
{"scored=false 配了通道也不计分", false, []ScoreChannel{athleteResultChannel(1)}},
|
||
{"scored=true 但没有通道", true, nil},
|
||
{"scored=false 且没有通道", false, nil},
|
||
}
|
||
for _, tc := range cases {
|
||
t.Run(tc.name, func(t *testing.T) {
|
||
entries, results := fixture(lineup(3))
|
||
ev := individualEvent(1)
|
||
ev.Scored = tc.scored
|
||
es := mustScore(t, EventScoreInput{
|
||
Event: ev, Category: testCategory(),
|
||
Channels: tc.channels,
|
||
Profiles: map[int64]ScoringProfile{1: individualTop6()},
|
||
Entries: entries, Results: results,
|
||
})
|
||
if len(es.Ledger) != 0 {
|
||
t.Fatalf("只排名不计分不应产生流水，实际 %d 条: %+v", len(es.Ledger), es.Ledger)
|
||
}
|
||
if len(es.Ranked) != 3 {
|
||
t.Fatalf("名次条数 = %d，期望 3（排名与计分解耦）", len(es.Ranked))
|
||
}
|
||
for _, rr := range es.Ranked {
|
||
if rr.Points != 0 {
|
||
t.Errorf("只排名不计分时 Points = %v，期望 0", rr.Points)
|
||
}
|
||
}
|
||
if ranks := rankByEntry(es.Ranked); ranks[1] != 1 || ranks[2] != 2 || ranks[3] != 3 {
|
||
t.Fatalf("名次 = %v，期望 1/2/3", ranks)
|
||
}
|
||
})
|
||
}
|
||
}
|
||
|
||
// TestRankOnlyRespectsResultMode 验证没有通道时按小项自身的录入方式排名（manual 直接读录入名次）。
|
||
func TestRankOnlyRespectsResultMode(t *testing.T) {
|
||
ps := lineup(3)
|
||
for i := range ps {
|
||
ps[i].noValue = true
|
||
}
|
||
ps[0].rank, ps[1].rank, ps[2].rank = 2, 3, 1
|
||
entries, results := fixture(ps)
|
||
|
||
ev := individualEvent(1)
|
||
ev.Scored = false
|
||
ev.ResultMode = ResultModeManual
|
||
ev.Compare = CompareNone
|
||
es := mustScore(t, EventScoreInput{
|
||
Event: ev, Category: testCategory(),
|
||
Entries: entries, Results: results,
|
||
})
|
||
if len(es.Ledger) != 0 {
|
||
t.Fatalf("只排名不计分不应产生流水，实际 %d 条", len(es.Ledger))
|
||
}
|
||
ranks := rankByEntry(es.Ranked)
|
||
if ranks[3] != 1 || ranks[1] != 2 || ranks[2] != 3 {
|
||
t.Fatalf("名次 = %v，期望 entry3→1 / entry1→2 / entry2→3", ranks)
|
||
}
|
||
}
|
||
|
||
// TestIndividualTeamDualChannel 验证「个人+团体」按配置的两条通道双计：
|
||
// 同一份成绩同时产出个人通道与团体通道的名次（类型本身不参与计算）。
|
||
func TestIndividualTeamDualChannel(t *testing.T) {
|
||
entries, results := fixture(lineupValues(11.5, 11.8, 12.0))
|
||
ev := individualEvent(1)
|
||
ev.EventType = EventTypeIndividualTeam
|
||
|
||
es := mustScore(t, EventScoreInput{
|
||
Event: ev, Category: testCategory(),
|
||
Channels: []ScoreChannel{
|
||
athleteResultChannel(1),
|
||
{ID: 2, EventID: 1, Scope: ScopeTeam, Basis: BasisResult, ProfileID: 2},
|
||
},
|
||
Profiles: map[int64]ScoringProfile{1: individualTop6(), 2: teamTop6()},
|
||
Entries: entries, Results: results,
|
||
})
|
||
|
||
byScope := make(map[Scope]map[int64]int, 2)
|
||
for _, rr := range es.Ranked {
|
||
if byScope[rr.Scope] == nil {
|
||
byScope[rr.Scope] = make(map[int64]int, len(es.Ranked))
|
||
}
|
||
byScope[rr.Scope][rr.EntryID] = rr.Rank
|
||
}
|
||
for _, scope := range []Scope{ScopeAthlete, ScopeTeam} {
|
||
ranks := byScope[scope]
|
||
if ranks[1] != 1 || ranks[2] != 2 || ranks[3] != 3 {
|
||
t.Fatalf("%s 通道名次 = %v，期望 1/2/3", scope, ranks)
|
||
}
|
||
}
|
||
if len(es.Ledger) != 6 {
|
||
t.Errorf("双通道流水条数 = %d，期望 6（3 条个人 + 3 条团体）", len(es.Ledger))
|
||
}
|
||
}
|
||
|
||
// TestScoreEventErrors 覆盖配置类错误，避免错配置静默算错分。
|
||
func TestScoreEventErrors(t *testing.T) {
|
||
entries, results := fixture(lineup(1))
|
||
base := EventScoreInput{
|
||
Event: individualEvent(1), Category: testCategory(),
|
||
Channels: []ScoreChannel{athleteResultChannel(404)},
|
||
Profiles: map[int64]ScoringProfile{1: individualTop6()},
|
||
Entries: entries, Results: results,
|
||
}
|
||
if _, err := ScoreEvent(base); !errors.Is(err, ErrProfileNotFound) {
|
||
t.Errorf("模板缺失错误 = %v，期望 ErrProfileNotFound", err)
|
||
}
|
||
|
||
bad := base
|
||
bad.Channels = []ScoreChannel{{ID: 1, Scope: ScopeAthlete, Basis: "magic", ProfileID: 1}}
|
||
if _, err := ScoreEvent(bad); !errors.Is(err, ErrUnknownBasis) {
|
||
t.Errorf("未知 basis 错误 = %v，期望 ErrUnknownBasis", err)
|
||
}
|
||
|
||
noCompare := base
|
||
noCompare.Channels = []ScoreChannel{athleteResultChannel(1)}
|
||
noCompare.Event.Compare = CompareNone
|
||
if _, err := ScoreEvent(noCompare); !errors.Is(err, ErrCompareRequired) {
|
||
t.Errorf("compare=none 错误 = %v，期望 ErrCompareRequired", err)
|
||
}
|
||
|
||
noCompareAgg := noCompare
|
||
noCompareAgg.Channels = []ScoreChannel{teamAggregateChannel(1)}
|
||
if _, err := ScoreEvent(noCompareAgg); !errors.Is(err, ErrCompareRequired) {
|
||
t.Errorf("聚合 compare=none 错误 = %v，期望 ErrCompareRequired", err)
|
||
}
|
||
}
|
||
|
||
// TestCompareDirections 验证 asc / desc 两种成绩排序方向。
|
||
func TestCompareDirections(t *testing.T) {
|
||
t.Run("asc 越小越好", func(t *testing.T) {
|
||
entries, results := fixture(lineupValues(12, 11, 13))
|
||
es := mustScore(t, EventScoreInput{
|
||
Event: individualEvent(1), Category: testCategory(),
|
||
Channels: []ScoreChannel{athleteResultChannel(1)},
|
||
Profiles: map[int64]ScoringProfile{1: individualTop6()},
|
||
Entries: entries, Results: results,
|
||
})
|
||
assertEntryPoints(t, pointsByEntry(es.Ledger), []float64{8, 10, 6})
|
||
})
|
||
t.Run("desc 越大越好", func(t *testing.T) {
|
||
entries, results := fixture(lineupValues(12, 11, 13))
|
||
ev := individualEvent(1)
|
||
ev.Compare = CompareDesc
|
||
es := mustScore(t, EventScoreInput{
|
||
Event: ev, Category: testCategory(),
|
||
Channels: []ScoreChannel{athleteResultChannel(1)},
|
||
Profiles: map[int64]ScoringProfile{1: individualTop6()},
|
||
Entries: entries, Results: results,
|
||
})
|
||
assertEntryPoints(t, pointsByEntry(es.Ledger), []float64{8, 6, 10})
|
||
})
|
||
}
|
||
|
||
// TestMultipleChannelsDoubleCount 复现「团体引体向上」的双通道：个人通道 + 团体通道都计分。
|
||
func TestMultipleChannelsDoubleCount(t *testing.T) {
|
||
entries, results := fixture([]participant{
|
||
{entryID: 1, athleteID: 1, teamID: 1001, value: 1},
|
||
{entryID: 2, athleteID: 2, teamID: 1001, value: 3},
|
||
{entryID: 3, athleteID: 3, teamID: 1002, value: 2},
|
||
{entryID: 4, athleteID: 4, teamID: 1002, value: 4},
|
||
{entryID: 5, teamID: 1001, rank: 1, noValue: true},
|
||
{entryID: 6, teamID: 1002, rank: 2, noValue: true},
|
||
})
|
||
es := mustScore(t, EventScoreInput{
|
||
Event: individualEvent(1), Category: testCategory(),
|
||
Channels: []ScoreChannel{athleteResultChannel(1), teamManualChannel(2)},
|
||
Profiles: map[int64]ScoringProfile{1: individualTop6(), 2: teamTop6()},
|
||
Entries: entries, Results: results,
|
||
})
|
||
|
||
var personal, teamOnly int
|
||
for _, e := range es.Ledger {
|
||
if e.AthleteID != 0 {
|
||
personal++
|
||
} else {
|
||
teamOnly++
|
||
}
|
||
}
|
||
if personal != 4 || teamOnly != 2 {
|
||
t.Fatalf("流水构成 = %d 条个人 / %d 条单位，期望 4/2", personal, teamOnly)
|
||
}
|
||
|
||
got := SumByTeam(es.Ledger, 1)
|
||
// 单位1001：团体通道15 + 个人10 + 6 = 31；单位1002：10 + 8 + 3 = 21。
|
||
if !nearlyEqual(got[1001].Total, 31) || !nearlyEqual(got[1002].Total, 21) {
|
||
t.Fatalf("单位总分 = %v，期望 1001:31 / 1002:21", got)
|
||
}
|
||
}
|
||
|
||
// TestSameUnitMultipleAthletesBothScore 复现文档示例 2：同单位两人都计分。
|
||
func TestSameUnitMultipleAthletesBothScore(t *testing.T) {
|
||
entries, results := fixture([]participant{
|
||
{entryID: 1, athleteID: 1, teamID: 1001, value: 1},
|
||
{entryID: 2, athleteID: 2, teamID: 1002, value: 2},
|
||
{entryID: 3, athleteID: 3, teamID: 1003, value: 3},
|
||
{entryID: 4, athleteID: 4, teamID: 1004, value: 4},
|
||
{entryID: 5, athleteID: 5, teamID: 1001, value: 5},
|
||
})
|
||
es := mustScore(t, EventScoreInput{
|
||
Event: individualEvent(1), Category: testCategory(),
|
||
Channels: []ScoreChannel{athleteResultChannel(1)},
|
||
Profiles: map[int64]ScoringProfile{1: individualTop6()},
|
||
Entries: entries, Results: results,
|
||
})
|
||
got := SumByTeam(es.Ledger, 1)
|
||
if !nearlyEqual(got[1001].Total, 12) {
|
||
t.Fatalf("单位总分 = %v，期望第1名10 + 第5名2 = 12", got[1001].Total)
|
||
}
|
||
}
|
||
|
||
// TestOneAthleteMultipleEvents 验证一人多项独立计分、个人总分累加。
|
||
func TestOneAthleteMultipleEvents(t *testing.T) {
|
||
entries1, results1 := fixture([]participant{{entryID: 1, athleteID: 1, teamID: 1001, value: 1}})
|
||
entries2, results2 := fixture([]participant{{entryID: 2, athleteID: 1, teamID: 1001, value: 2}})
|
||
entries2[0].EventID = 2
|
||
results2[0].EventID = 2
|
||
|
||
ledger := mustScore(t, EventScoreInput{
|
||
Event: individualEvent(1), Category: testCategory(),
|
||
Channels: []ScoreChannel{athleteResultChannel(1)},
|
||
Profiles: map[int64]ScoringProfile{1: individualTop6()},
|
||
Entries: entries1, Results: results1,
|
||
}).Ledger
|
||
ledger = append(ledger, mustScore(t, EventScoreInput{
|
||
Event: Event{ID: 2, Compare: CompareAsc, Scored: true, Multiplier: 1},
|
||
Category: testCategory(),
|
||
Channels: []ScoreChannel{athleteResultChannel(1)},
|
||
Profiles: map[int64]ScoringProfile{1: individualTop6()},
|
||
Entries: entries2, Results: results2,
|
||
}).Ledger...)
|
||
|
||
if got := SumByAthlete(ledger)[1]; !nearlyEqual(got, 20) {
|
||
t.Fatalf("个人总分 = %v，期望 10 + 10 = 20", got)
|
||
}
|
||
}
|
||
|
||
// TestUnionSharesNormalization 覆盖联队份额的归一化与退化情形。
|
||
func TestUnionSharesNormalization(t *testing.T) {
|
||
score := func(shares []TeamShare, mode UnionAttribution) map[int64]float64 {
|
||
entries, results := fixture([]participant{{
|
||
entryID: 1, athleteID: 1, teamID: 1001, value: 1, shares: shares,
|
||
}})
|
||
return pointsByTeam(mustScore(t, EventScoreInput{
|
||
Event: individualEvent(1), Category: testCategory(),
|
||
Channels: []ScoreChannel{athleteResultChannel(1)},
|
||
Profiles: map[int64]ScoringProfile{1: individualTop6()},
|
||
Entries: entries, Results: results,
|
||
Options: ScoreOptions{UnionAttribution: mode},
|
||
}).Ledger)
|
||
}
|
||
|
||
cases := []struct {
|
||
name string
|
||
shares []TeamShare
|
||
mode UnionAttribution
|
||
want map[int64]float64
|
||
}{
|
||
{"份额 3:2 拆分为 6:4", []TeamShare{{1001, 3}, {1002, 2}}, UnionSplit, map[int64]float64{1001: 6, 1002: 4}},
|
||
{"份额 1:1 平分为 5:5", []TeamShare{{1001, 1}, {1002, 1}}, UnionSplit, map[int64]float64{1001: 5, 1002: 5}},
|
||
{"权重为 0 的份额被丢弃", []TeamShare{{1001, 0}, {1002, 1}}, UnionSplit, map[int64]float64{1002: 10}},
|
||
{"份额全非法时退回主单位", []TeamShare{{1001, 0}, {1002, 0}}, UnionSplit, map[int64]float64{1001: 10}},
|
||
{"无份额时归主单位", nil, UnionSplit, map[int64]float64{1001: 10}},
|
||
{"整体归属只记主单位", []TeamShare{{1001, 3}, {1002, 2}}, UnionWhole, map[int64]float64{1001: 10}},
|
||
{"归属口径空值等同整体", []TeamShare{{1001, 3}, {1002, 2}}, "", map[int64]float64{1001: 10}},
|
||
}
|
||
for _, tc := range cases {
|
||
t.Run(tc.name, func(t *testing.T) {
|
||
got := score(tc.shares, tc.mode)
|
||
for id, want := range tc.want {
|
||
if !nearlyEqual(got[id], want) {
|
||
t.Fatalf("单位 %d 得分 = %v，期望 %v（全部 %v）", id, got[id], want, got)
|
||
}
|
||
}
|
||
for id, p := range got {
|
||
if p != 0 {
|
||
if _, ok := tc.want[id]; !ok {
|
||
t.Fatalf("单位 %d 不应得分，实际 %v", id, p)
|
||
}
|
||
}
|
||
}
|
||
})
|
||
}
|
||
}
|
||
|
||
// TestTieDetectionEpsilon 验证「成绩相同」的判定精度。
|
||
func TestTieDetectionEpsilon(t *testing.T) {
|
||
t.Run("差值在容差内视为并列", func(t *testing.T) {
|
||
entries, results := fixture(lineupValues(12.01, 12.01+1e-10, 13))
|
||
es := mustScore(t, EventScoreInput{
|
||
Event: individualEvent(1), Category: testCategory(),
|
||
Channels: []ScoreChannel{athleteResultChannel(1)},
|
||
Profiles: map[int64]ScoringProfile{1: individualTop6()},
|
||
Entries: entries, Results: results,
|
||
})
|
||
assertEntryPoints(t, pointsByEntry(es.Ledger), []float64{10, 10, 6})
|
||
})
|
||
t.Run("差值超过容差不算并列", func(t *testing.T) {
|
||
entries, results := fixture(lineupValues(12.01, 12.02, 13))
|
||
es := mustScore(t, EventScoreInput{
|
||
Event: individualEvent(1), Category: testCategory(),
|
||
Channels: []ScoreChannel{athleteResultChannel(1)},
|
||
Profiles: map[int64]ScoringProfile{1: individualTop6()},
|
||
Entries: entries, Results: results,
|
||
})
|
||
assertEntryPoints(t, pointsByEntry(es.Ledger), []float64{10, 8, 6})
|
||
})
|
||
}
|
||
|
||
// TestMissingResultOrEntry 验证缺成绩、成绩指向不存在的报名项都不会算出分。
|
||
func TestMissingResultOrEntry(t *testing.T) {
|
||
t.Run("没有成绩的报名项不计分", func(t *testing.T) {
|
||
entries, results := fixture(lineup(3))
|
||
results = results[:2] // entry3 还没有成绩
|
||
es := mustScore(t, EventScoreInput{
|
||
Event: individualEvent(1), Category: testCategory(),
|
||
Channels: []ScoreChannel{athleteResultChannel(1)},
|
||
Profiles: map[int64]ScoringProfile{1: individualTop6()},
|
||
Entries: entries, Results: results,
|
||
})
|
||
assertEntryPoints(t, pointsByEntry(es.Ledger), []float64{10, 8, 0})
|
||
})
|
||
t.Run("孤儿成绩被忽略", func(t *testing.T) {
|
||
entries, results := fixture(lineup(2))
|
||
results = append(results, Result{ID: 999, EventID: 1, EntryID: 404, ResultValue: ptr(0.5), State: ResultStatePublished})
|
||
es := mustScore(t, EventScoreInput{
|
||
Event: individualEvent(1), Category: testCategory(),
|
||
Channels: []ScoreChannel{athleteResultChannel(1)},
|
||
Profiles: map[int64]ScoringProfile{1: individualTop6()},
|
||
Entries: entries, Results: results,
|
||
})
|
||
assertEntryPoints(t, pointsByEntry(es.Ledger), []float64{10, 8})
|
||
})
|
||
t.Run("别的组别的成绩不串场", func(t *testing.T) {
|
||
entries, results := fixture(lineup(3))
|
||
entries[2].CategoryID = 2
|
||
es := mustScore(t, EventScoreInput{
|
||
Event: individualEvent(1), Category: testCategory(),
|
||
Channels: []ScoreChannel{athleteResultChannel(1)},
|
||
Profiles: map[int64]ScoringProfile{1: individualTop6()},
|
||
Entries: entries, Results: results,
|
||
})
|
||
assertEntryPoints(t, pointsByEntry(es.Ledger), []float64{10, 8, 0})
|
||
})
|
||
}
|
||
|
||
// TestNoChannelsSkipsRecordBonus 验证「0 个通道 = 只排名不计分」：
|
||
// 即使项目 scored=true 且破了纪录，也不写任何流水（破纪录加分也跳过）。
|
||
func TestNoChannelsSkipsRecordBonus(t *testing.T) {
|
||
entries, results := fixture(lineup(2))
|
||
cfg := bonusConfig(RecordBonusMax)
|
||
es := mustScore(t, EventScoreInput{
|
||
Event: individualEvent(1), Category: testCategory(),
|
||
Entries: entries, Results: results,
|
||
RecordBonus: &cfg,
|
||
RecordBreaks: []RecordBreak{{
|
||
ID: 1, EventID: 1, EntryID: 1, AthleteID: 101, TeamID: 1001,
|
||
Level: "meet", State: RecordBreakApproved,
|
||
}},
|
||
})
|
||
if len(es.Ledger) != 0 {
|
||
t.Fatalf("没有通道时不应产生流水，实际 %d 条: %+v", len(es.Ledger), es.Ledger)
|
||
}
|
||
if len(es.Ranked) != 2 {
|
||
t.Fatalf("名次条数 = %d，期望 2", len(es.Ranked))
|
||
}
|
||
}
|