Files
BountyBoard/internal/store/metrics.go
T
etalon b1c9a42810 feat: metrics dashboards with SVG charts, CSV export, leaderboard (phase 10)
- aggregations over the immutable bountyAwards ledger: totals, weekly
  buckets ($dateTrunc), per-developer and per-customer groupings
- timeline-derived: approval rate, time logged, assigned→approved lead
  time, imported→published atomization lead time, open board depth
- developer + consultant dashboards (admin = global consultant view),
  date-range filters, CSV export of the ledger
- leaderboard (top 10 by bounty) honoring the new leaderboardOptOut
  profile setting
- hand-rolled SVG line and bar charts (~150 lines, no chart library)

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
2026-06-12 20:19:57 +02:00

305 lines
9.5 KiB
Go

package store
import (
"context"
"fmt"
"time"
"go.mongodb.org/mongo-driver/v2/bson"
"go.mongodb.org/mongo-driver/v2/mongo"
"bountyboard/internal/domain"
)
// Metrics aggregations (§6.2) — always over the immutable bountyAwards
// ledger plus task timelines, never recomputed from mutable task fields.
type WeeklyPoint struct {
Week time.Time `bson:"_id" json:"week"`
Amount float64 `bson:"amount" json:"amount"`
Tasks int64 `bson:"tasks" json:"tasks"`
}
type GroupTotal struct {
Key string `bson:"_id" json:"key"`
Amount float64 `bson:"amount" json:"amount"`
Tasks int64 `bson:"tasks" json:"tasks"`
}
func awardMatch(developerID, consultantID, customerID string, from, to time.Time) bson.M {
m := bson.M{"awardedAt": bson.M{"$gte": from, "$lte": to}}
if developerID != "" {
m["developerId"] = developerID
}
if consultantID != "" {
m["consultantId"] = consultantID
}
if customerID != "" {
m["customerId"] = customerID
}
return m
}
// AwardTotals returns sum + count for the filter.
func (s *Store) AwardTotals(ctx context.Context, developerID, consultantID, customerID string, from, to time.Time) (float64, int64, error) {
cur, err := s.DB.Collection("bountyAwards").Aggregate(ctx, mongo.Pipeline{
{{Key: "$match", Value: awardMatch(developerID, consultantID, customerID, from, to)}},
{{Key: "$group", Value: bson.M{"_id": nil,
"amount": bson.M{"$sum": "$amount"}, "tasks": bson.M{"$sum": 1}}}},
})
if err != nil {
return 0, 0, fmt.Errorf("award totals: %w", err)
}
var rows []struct {
Amount float64 `bson:"amount"`
Tasks int64 `bson:"tasks"`
}
if err := cur.All(ctx, &rows); err != nil {
return 0, 0, fmt.Errorf("decode totals: %w", err)
}
if len(rows) == 0 {
return 0, 0, nil
}
return rows[0].Amount, rows[0].Tasks, nil
}
// WeeklyAwards buckets earnings into ISO weeks (§6.2 earnings-over-time).
func (s *Store) WeeklyAwards(ctx context.Context, developerID, consultantID, customerID string, from, to time.Time) ([]WeeklyPoint, error) {
cur, err := s.DB.Collection("bountyAwards").Aggregate(ctx, mongo.Pipeline{
{{Key: "$match", Value: awardMatch(developerID, consultantID, customerID, from, to)}},
{{Key: "$group", Value: bson.M{
"_id": bson.M{"$dateTrunc": bson.M{"date": "$awardedAt", "unit": "week"}},
"amount": bson.M{"$sum": "$amount"},
"tasks": bson.M{"$sum": 1},
}}},
{{Key: "$sort", Value: bson.M{"_id": 1}}},
})
if err != nil {
return nil, fmt.Errorf("weekly awards: %w", err)
}
out := []WeeklyPoint{}
if err := cur.All(ctx, &out); err != nil {
return nil, fmt.Errorf("decode weekly: %w", err)
}
return out, nil
}
// AwardsGroupedBy aggregates totals per developerId or customerId.
func (s *Store) AwardsGroupedBy(ctx context.Context, field, developerID, consultantID, customerID string, from, to time.Time) ([]GroupTotal, error) {
cur, err := s.DB.Collection("bountyAwards").Aggregate(ctx, mongo.Pipeline{
{{Key: "$match", Value: awardMatch(developerID, consultantID, customerID, from, to)}},
{{Key: "$group", Value: bson.M{"_id": "$" + field,
"amount": bson.M{"$sum": "$amount"}, "tasks": bson.M{"$sum": 1}}}},
{{Key: "$sort", Value: bson.M{"amount": -1}}},
})
if err != nil {
return nil, fmt.Errorf("grouped awards: %w", err)
}
out := []GroupTotal{}
if err := cur.All(ctx, &out); err != nil {
return nil, fmt.Errorf("decode grouped: %w", err)
}
return out, nil
}
// ListAwards returns the raw ledger rows for CSV export.
func (s *Store) ListAwards(ctx context.Context, developerID, consultantID, customerID string, from, to time.Time) ([]BountyAward, error) {
cur, err := s.DB.Collection("bountyAwards").Find(ctx,
awardMatch(developerID, consultantID, customerID, from, to))
if err != nil {
return nil, fmt.Errorf("list awards: %w", err)
}
out := []BountyAward{}
if err := cur.All(ctx, &out); err != nil {
return nil, fmt.Errorf("decode awards: %w", err)
}
return out, nil
}
// ReviewOutcomes counts approved vs changes_requested submissions for a
// developer (approval rate, §6.2).
func (s *Store) ReviewOutcomes(ctx context.Context, developerID string, from, to time.Time) (approved, changes int64, err error) {
cur, err := s.tasks().Aggregate(ctx, mongo.Pipeline{
{{Key: "$match", Value: bson.M{"assignee.userId": developerID}}},
{{Key: "$unwind", Value: "$timeline"}},
{{Key: "$match", Value: bson.M{
"timeline.event": bson.M{"$in": []string{"approved", "changes_requested"}},
"timeline.at": bson.M{"$gte": from, "$lte": to},
}}},
{{Key: "$group", Value: bson.M{"_id": "$timeline.event", "n": bson.M{"$sum": 1}}}},
})
if err != nil {
return 0, 0, fmt.Errorf("review outcomes: %w", err)
}
var rows []struct {
ID string `bson:"_id"`
N int64 `bson:"n"`
}
if err := cur.All(ctx, &rows); err != nil {
return 0, 0, fmt.Errorf("decode outcomes: %w", err)
}
for _, r := range rows {
if r.ID == "approved" {
approved = r.N
} else {
changes = r.N
}
}
return approved, changes, nil
}
// TimeLogged sums the developer's logged minutes.
func (s *Store) TimeLogged(ctx context.Context, developerID string, from, to time.Time) (int64, error) {
cur, err := s.tasks().Aggregate(ctx, mongo.Pipeline{
{{Key: "$unwind", Value: "$timeLog"}},
{{Key: "$match", Value: bson.M{
"timeLog.developerId": developerID,
"timeLog.at": bson.M{"$gte": from, "$lte": to},
}}},
{{Key: "$group", Value: bson.M{"_id": nil, "minutes": bson.M{"$sum": "$timeLog.minutes"}}}},
})
if err != nil {
return 0, fmt.Errorf("time logged: %w", err)
}
var rows []struct {
Minutes int64 `bson:"minutes"`
}
if err := cur.All(ctx, &rows); err != nil {
return 0, fmt.Errorf("decode time: %w", err)
}
if len(rows) == 0 {
return 0, nil
}
return rows[0].Minutes, nil
}
// AvgAssignToApproveHours computes the mean lead time from assignment to
// approval over approved tasks (timeline-derived).
func (s *Store) AvgAssignToApproveHours(ctx context.Context, developerID string, from, to time.Time) (float64, error) {
cur, err := s.tasks().Find(ctx, bson.M{
"assignee.userId": developerID,
"status": domain.StatusApproved,
"updatedAt": bson.M{"$gte": from, "$lte": to},
})
if err != nil {
return 0, fmt.Errorf("approved tasks: %w", err)
}
var tasks []domain.Task
if err := cur.All(ctx, &tasks); err != nil {
return 0, fmt.Errorf("decode approved: %w", err)
}
var total time.Duration
var n int
for _, t := range tasks {
var assignedAt, approvedAt time.Time
for _, e := range t.Timeline {
if (e.Event == "claim_approved" || e.Event == "assigned_to_ai") && assignedAt.IsZero() {
assignedAt = e.At
}
if e.Event == "approved" {
approvedAt = e.At
}
}
if !assignedAt.IsZero() && approvedAt.After(assignedAt) {
total += approvedAt.Sub(assignedAt)
n++
}
}
if n == 0 {
return 0, nil
}
return total.Hours() / float64(n), nil
}
// AtomizationLeadTimeHours: mean imported→published lead time per §6.2,
// measured on published tasks against their root's creation.
func (s *Store) AtomizationLeadTimeHours(ctx context.Context, customerIDs []string, from, to time.Time) (float64, error) {
if len(customerIDs) == 0 {
return 0, nil
}
cur, err := s.tasks().Find(ctx, bson.M{
"customerId": bson.M{"$in": customerIDs},
"publishedAt": bson.M{"$gte": from, "$lte": to},
})
if err != nil {
return 0, fmt.Errorf("published tasks: %w", err)
}
var tasks []domain.Task
if err := cur.All(ctx, &tasks); err != nil {
return 0, fmt.Errorf("decode published: %w", err)
}
rootCreated := map[string]time.Time{}
var total time.Duration
var n int
for _, t := range tasks {
created, ok := rootCreated[t.RootID]
if !ok {
root, err := s.TaskByID(ctx, t.RootID)
if err != nil {
continue
}
created = root.CreatedAt
rootCreated[t.RootID] = created
}
if t.PublishedAt.After(created) {
total += t.PublishedAt.Sub(created)
n++
}
}
if n == 0 {
return 0, nil
}
return total.Hours() / float64(n), nil
}
// OpenBoardDepth counts currently published tasks per customer (§6.2).
func (s *Store) OpenBoardDepth(ctx context.Context, customerIDs []string) (map[string]int64, error) {
out := map[string]int64{}
if len(customerIDs) == 0 {
return out, nil
}
cur, err := s.tasks().Aggregate(ctx, mongo.Pipeline{
{{Key: "$match", Value: bson.M{
"customerId": bson.M{"$in": customerIDs},
"status": bson.M{"$in": []domain.TaskStatus{domain.StatusPublished, domain.StatusClaimRequested}},
}}},
{{Key: "$group", Value: bson.M{"_id": "$customerId", "n": bson.M{"$sum": 1}}}},
})
if err != nil {
return nil, fmt.Errorf("board depth: %w", err)
}
var rows []struct {
ID string `bson:"_id"`
N int64 `bson:"n"`
}
if err := cur.All(ctx, &rows); err != nil {
return nil, fmt.Errorf("decode depth: %w", err)
}
for _, r := range rows {
out[r.ID] = r.N
}
return out, nil
}
// Leaderboard: top developers by total bounty (opt-outs filtered by caller).
func (s *Store) Leaderboard(ctx context.Context, from, to time.Time, limit int) ([]GroupTotal, error) {
if limit <= 0 || limit > 50 {
limit = 10
}
cur, err := s.DB.Collection("bountyAwards").Aggregate(ctx, mongo.Pipeline{
{{Key: "$match", Value: bson.M{"awardedAt": bson.M{"$gte": from, "$lte": to}}}},
{{Key: "$group", Value: bson.M{"_id": "$developerId",
"amount": bson.M{"$sum": "$amount"}, "tasks": bson.M{"$sum": 1}}}},
{{Key: "$sort", Value: bson.M{"amount": -1}}},
{{Key: "$limit", Value: limit * 2}}, // headroom for opt-out filtering
})
if err != nil {
return nil, fmt.Errorf("leaderboard: %w", err)
}
out := []GroupTotal{}
if err := cur.All(ctx, &out); err != nil {
return nil, fmt.Errorf("decode leaderboard: %w", err)
}
return out, nil
}