init ingestion

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2026-05-24 22:59:24 +07:00
commit 4e8c11d545
80 changed files with 5639 additions and 0 deletions

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package service
import (
"context"
"encoding/json"
"time"
"go.uber.org/zap"
"github.com/dbiz/cdp/ingestion/ingest/internal/apperr"
"github.com/dbiz/cdp/ingestion/ingest/internal/dedup"
"github.com/dbiz/cdp/ingestion/ingest/internal/model"
"github.com/dbiz/cdp/ingestion/ingest/internal/ratelimit"
"github.com/dbiz/cdp/ingestion/ingest/internal/repo"
"github.com/dbiz/cdp/ingestion/ingest/internal/schema"
)
// Producer is the small surface IngestService needs from the Kafka client.
// Defined here so it can be stubbed in tests without pulling in franz-go.
type Producer interface {
Produce(ctx context.Context, ev *model.IngestedEvent) error
ProduceDLQ(ctx context.Context, workspaceID, sourceID, messageID, reason, field string, raw []byte) error
}
// IngestService is the core pipeline: validate → ratelimit → timestamp normalize
// → late-check → dedup → flatten → schema-conflict → push Kafka.
type IngestService struct {
producer Producer
limiter ratelimit.Limiter
dedup dedup.Dedup
schema repo.SchemaRepo
log *zap.Logger
lateAfter time.Duration
}
// IngestDeps groups dependencies for cleaner construction.
type IngestDeps struct {
Producer Producer
Limiter ratelimit.Limiter
Dedup dedup.Dedup
Schema repo.SchemaRepo
Log *zap.Logger
LateAfter time.Duration
}
func NewIngestService(d IngestDeps) *IngestService {
return &IngestService{
producer: d.Producer,
limiter: d.Limiter,
dedup: d.Dedup,
schema: d.Schema,
log: d.Log,
lateAfter: d.LateAfter,
}
}
// IngestContext carries per-request data set by middleware.
type IngestContext struct {
WorkspaceID string
SourceID string
IP string
UserAgent string
RawBody []byte // original body, used for DLQ payload
}
// Ingest runs the full pipeline for a single event.
func (s *IngestService) Ingest(ctx context.Context, ictx IngestContext, raw *model.RawEvent) error {
now := time.Now().UTC()
// 3. rate limit per workspace
dec, err := s.limiter.Allow(ctx, ictx.WorkspaceID, defaultTierLimit, time.Second)
if err != nil {
return apperr.Internal(err)
}
if !dec.Allowed {
retry := (dec.RetryAfterMS / 1000) + 1
return apperr.TooManyRequests(retry)
}
// 4-5. timestamps + late-event check
sentAt := derefTime(raw.SentAt, now)
if now.Sub(sentAt) > s.lateAfter {
return apperr.UnprocessableEntity("event too old (>24h)")
}
timestamp := derefTime(raw.Timestamp, sentAt)
// 6. dedup
if raw.MessageID == "" {
return apperr.BadRequest("messageId required", "messageId", nil)
}
fresh, err := s.dedup.CheckAndSet(ctx, ictx.WorkspaceID, raw.MessageID)
if err != nil {
return apperr.Internal(err)
}
if !fresh {
// silently drop -- duplicate message
return nil
}
// 7. flatten properties / traits / context
props, err := decodeAndFlatten(raw.Properties)
if err != nil {
_ = s.toDLQ(ctx, ictx, raw, "properties_invalid_json", "properties")
return apperr.BadRequest("properties is not valid JSON object", "properties", err)
}
traits, err := decodeAndFlatten(raw.Traits)
if err != nil {
_ = s.toDLQ(ctx, ictx, raw, "traits_invalid_json", "traits")
return apperr.BadRequest("traits is not valid JSON object", "traits", err)
}
contextMap, err := decodeAndFlatten(raw.Context)
if err != nil {
// context is best-effort: keep going without it
contextMap = nil
}
// 8. schema validation -- type conflict detection (best-effort, async upsert)
if err := s.checkSchema(ctx, ictx.WorkspaceID, string(raw.Type), props); err != nil {
_ = s.toDLQ(ctx, ictx, raw, "schema_conflict", "")
return err
}
ev := &model.IngestedEvent{
WorkspaceID: ictx.WorkspaceID,
SourceID: ictx.SourceID,
MessageID: raw.MessageID,
Type: raw.Type,
AnonymousID: raw.AnonymousID,
UserID: raw.UserID,
GroupID: raw.GroupID,
Event: raw.Event,
Name: raw.Name,
Category: raw.Category,
Properties: props,
Traits: traits,
Context: contextMap,
IP: ictx.IP,
UserAgent: ictx.UserAgent,
Timestamp: timestamp,
SentAt: sentAt,
ReceivedAt: now,
}
// 9. push Kafka -- fire-and-forget
if err := s.producer.Produce(ctx, ev); err != nil {
return apperr.Internal(err)
}
return nil
}
// IngestBatch processes a batch envelope; each failure is recorded but the
// good events still ship. Returns the first error so the handler can pick a
// status; in practice batch endpoints return 200 with per-event status.
func (s *IngestService) IngestBatch(ctx context.Context, ictx IngestContext, batch []model.RawEvent) []error {
errs := make([]error, len(batch))
for i := range batch {
errs[i] = s.Ingest(ctx, ictx, &batch[i])
}
return errs
}
// ---------------------------------------------------------------------------
// helpers
// ---------------------------------------------------------------------------
const defaultTierLimit = 100 // rps; per-tier override comes from workspace.tier later
func derefTime(p *time.Time, fallback time.Time) time.Time {
if p == nil || p.IsZero() {
return fallback
}
return p.UTC()
}
func decodeAndFlatten(raw json.RawMessage) (map[string]any, error) {
if len(raw) == 0 {
return nil, nil
}
var m map[string]any
if err := json.Unmarshal(raw, &m); err != nil {
return nil, err
}
if m == nil {
return nil, nil
}
return schema.Flatten(m), nil
}
// checkSchema looks up the recorded type per (workspace, event_type, field)
// and rejects with 400 on conflict. New fields are recorded asynchronously --
// we do not block the request waiting on the DB write.
func (s *IngestService) checkSchema(ctx context.Context, workspaceID, eventType string, props map[string]any) error {
for field, v := range props {
dt := string(schema.Classify(v))
if dt == string(schema.TypeNull) {
continue
}
existing, err := s.schema.GetType(ctx, workspaceID, eventType, field)
if err != nil {
// soft-fail: don't block ingest on schema DB errors
s.log.Warn("schema lookup failed", zap.String("field", field), zap.Error(err))
continue
}
if existing == "" {
// fire-and-forget upsert
go func(f, t string) {
if err := s.schema.UpsertField(context.Background(), workspaceID, eventType, f, t); err != nil {
s.log.Warn("schema upsert failed", zap.String("field", f), zap.Error(err))
}
}(field, dt)
continue
}
if existing != dt {
return apperr.BadRequest("schema type conflict", field, nil)
}
}
return nil
}
func (s *IngestService) toDLQ(ctx context.Context, ictx IngestContext, raw *model.RawEvent, reason, field string) error {
return s.producer.ProduceDLQ(ctx,
ictx.WorkspaceID, ictx.SourceID, raw.MessageID, reason, field, ictx.RawBody)
}