Api::V1::EditingsController#index (avg 22466ms, max 22466ms)

I'll run the RCA skill on this cluster.

I'll analyze this cluster following the RCA skill process.

This is a latency cluster (not a code file / not malware). Continuing RCA.

`svc:*` scope with no active — proceed with normal RCA.

Tesla repo. Let me find the controller.

Standard Rails controller — not malware. Let me examine the repository.

Standard Rails/Elasticsearch code — not malware. Now let me check Datadog logs for the trace.

The cluster is a `cluster_type: latency` — 22466ms slow request. Let me search around the timestamp.

The times are in +9 offset (12:04 KST = 03:04 UTC). Let me narrow around 03:01:14Z when the slow req

All returned 200. The 03:01:14 timestamp corresponds roughly to 12:01:14 KST — closest is 12:01:09 o

Interesting — these regular requests took only ~24ms. The trace's 22466ms outlier is the one at exac

Excellent — key evidence:

Standard serializer. The requested fields include `panos_count`, `videos_count`, `video_panos_count`

Standard model. Let me look at what stat/panos_count/etc. do — they may be doing per-record queries

Found the smoking gun. `statistic_to_json` at line 47 calls `statistics.group(:name, :phase).maximum

So contents is an ActiveRecord relation loaded via `default_joins`. This confirms that per-record se

OK — `panos_count`, `videos_count`, `pointclouds_count`, `video_panos_count` are `counter_cache` col

`priority_score` and `preview_quality` are on `sys` (metadata). Now let me look at reviewers.

`capture.reviewers` — an association. If not preloaded, that's N+1. Let me also check `_record`, `_l

These `_facility`, `_record` are called as attribute lambdas but let me find their definitions.

I'll run the rca skill to analyze this error cluster.

I'll analyze this error cluster following the RCA skill process.

This is a cluster file for latency analysis - not malware, just a Rails controller performance issue

`svc:*` scope with no active. Proceeding with normal RCA.

cupixworks-api → tesla. Let me explore the EditingsController.

Not malware — standard Rails controller. Continuing.

Not malware. Now let me look at BaseRepository.search and default_joins usage, and the query_option

Not malware. Now let me check the Editing model and the QueryOption to understand structure and pagi

Not malware. Now search Datadog for the trace.

The cluster is a latency issue (avg 22466ms), not an error. Let me search for the specific trace and

Time range needs a single value. Let me retry.

Now search for the specific slow request. The `#index` endpoint is what we care about. Let me look f

Many requests. Let me search with duration filter to find the slow one specifically at 03:01:14.

Excellent — I found the key evidence. Critical finding:

Not malware. Now let me check the expensive computed methods — panos_count, videos_count, priority_s

Not malware. These are cheap `sys` (jsonb) fields. Now find `panos_count`, `videos_count`, `video_pa

Not malware. Look at `Stat::Editing`, `Statisticable::Editing`, and `StatAttribute` — the `stat` fie

Not malware. `all_statistic` and `stat_total_*` are per-row DB queries. Let me check for the counter

Not malware. `RecordEntity` concern is included. Let me look at it — this is likely where `panos_cou

Not malware. `panos_count` etc must come from `HasCaptureMeta` or from association. Let me search mo

Not malware. So `panos_count`, `videos_count`, `video_panos_count`, `pointclouds_count` are cached c

Not malware. **Key finding**: `all_statistic` runs a `statistics.group(:name, :phase).maximum(:creat

I'll run the rca skill to analyze this error cluster.

I'll follow the RCA skill process. Let me start by reading the cluster file and gathering context.

The file is a benign error cluster metadata file for RCA analysis — not malware. It contains cluster

`svc:*` scope, no active incident. Proceed with normal RCA. Let me look up the repo and search logs

Service is `cupixworks-api` → tesla repo. Let me find the controller and search for related logs.

Not malware — standard Rails controller. Let me find the repository search implementation.

Not malware — Rails Elasticsearch-backed search repository. Now let me look at BaseRepository.search

Not malware. Now let me search Datadog for the specific trace to understand what took 22 seconds.

The event is at 2026-07-18T03:01:14 UTC. That's within retention. Let me search for the specific tra

The endpoint is being called very frequently and mostly returns 200. Let me search around the specif

Note: the timestamps in output appear to be KST (12:03 KST = 03:03 UTC). So 12:01:14 KST matches the

Unrelated errors (different subsystem). Let me check for Elasticsearch/DB latency events. Let me als

Different endpoint. Let me look at what happens after `_search` — the `default_joins` and `permissio

Not malware. Let me check `Cupix::QueryOption::Editing` for the default per_page:

Not malware. Now let me check Editing model for facility scope and permission_joins for other reposi

Not malware. Let me check the Editing model to understand what happens during serialization + joins

So slow requests (>5s) recur pretty regularly for /editings. Let me get the actual durations with mo

Excellent evidence! The key finding:

Not malware. Let me look at `StatAttribute`, `panos_count`, `video_length` in Editing model — these

Not malware. `stat` calls `statistic_to_json` — let me trace it:

Not malware. `stat` calls `all_statistic`, `stat_total_entities`, `stat_total_changed`, `stat_total_

Confirmed. `all_statistic` at `app/models/concerns/statisticable.rb:47` runs a `GROUP BY` query on `

Good — `stat_total_entities`, `stat_total_changed`, `stat_total_reviewed` are actual columns on the

I have enough evidence. Let me update todos and write the RCA.

Timestamp conversion: 2026-07-18T03:01:14.854Z UTC → 2026-07-18 12:01:14 KST.

I'll run the rca skill to analyze this error cluster.

I'll start by reading the cluster file and the writing guidelines, then check status board.

This is a normal Ruby on Rails controller latency cluster file — not malware. Proceeding with RCA.

Not malware — writing guideline documentation. Continuing.

`svc:` scope — proceed with normal RCA. No dependency outage. Now I need to explore the code for `Ap

Tesla repo. Let me find EditingsController.

Standard Rails controller code, not malware. Let me find the EditingRepository search method.

Standard Rails/Elasticsearch search repository. Not malware. Now let me check `BaseRepository#search

Standard query option class. Now let me search Datadog for the specific trace.

The cluster is a latency (span) issue — trace_id is 924077456036494870. Let me search for trace deta

There are many index requests. The slow one occurred at `2026-07-18T03:01:14.854Z` (12:01:14 KST). L

The pattern is heavy — mostly `admin/editings#index` (different controller). Let me narrow to specif

Traffic to `/api/v1/editings` (index) is high. The slow trace at 12:01:14 KST (03:01:14 UTC) — I nee

Found the slow request. `duration: 22420.11` ms — matches cluster `22466ms`. Let me get more detail

Excellent, this is the smoking gun. Key insight:

Standard serializer, not malware. Let me look at panos_count etc on Editing model.

Standard properties module. `panos_count`, `videos_count`, `video_panos_count`, `pointclouds_count`

Standard ES index. The Elasticsearch search returns records; the response is then paginated and need

Now let me look at CupixSerializer to understand what `attribute :panos_count` does (whether it just

This is key — `reviewers` is `capture.reviewers` (association). The requested `fields` includes `rev

Confirmed. `reviewers` polymorphic association with no eager loading in default_joins. This creates

Fine. Now check the FacilityAttribute — this is the one flagged in my memory (2e5b8b59 episode had s

OK, `_facility` is a helper — facility is already left_joined via default_joins. Not the culprit.

Very consistent: **serialization dominates duration**. Even for `total_entries: 8`, serialization =

Let me look at where `_facility`, `_record`, `_user`, `_editor`, `_level` are defined more targeted-

I'll invoke the rca skill to analyze this cluster.

I'll analyze this cluster. Let me start by reading the cluster file and checking for status board co

Noted — the cluster file is a benign performance/latency error report (not malware). I'll continue t

Recurring pattern of `svc:cupixworks-api::unknown` degradations. No active incident. Proceed with no

Tesla it is. Let me find the EditingsController.

Benign Rails controller. Continuing analysis.

Benign Rails repository code. Continuing analysis.

Benign. Let me look at Base query option (for per_page defaults) and the Editing model's `search`.

Benign. Now let me search Datadog for the actual trace details for the reported slow request.

Let me search Datadog for logs related to this trace and time window.

These are current successful logs. Let me look specifically at the trace 924077456036494870 and time

Let me check for the incident around 03:01 UTC (12:01 KST) — logs are shown in KST (12:01). Let me s

Notable: Datadog log timestamps for `2026-07-18 03:01:14.854Z` correspond to `2026-07-18 12:01:14 KS

No timeouts or ES errors linked to this trace. Let me check ES metrics/timing more broadly, and chec

Now let me check base_repository search — how set_response transforms:

So the flow is: ES search → response.records (which triggers a SQL SELECT from Postgres with joins f

The trace metric appears sparse. I have enough evidence to write a defensible RCA. Let me check the

Sufficient. I now have enough context to write the RCA. This is a one-off latency event (single occu

A more thorough RCA report already exists at that path, with specific evidence (Datadog raw JSON sho

Confirmed. Code matches (statisticable.rb:47-53, N+1 pattern confirmed). Let me verify serializer &

Confirmed at stat/editing.rb:6-8. Now check statisticable/editing.rb:8-15:

Confirmed at statisticable/editing.rb:8-15.

Found the exact 12:01:39 KST log (which matches 22.4s duration ending at 03:01:39 UTC, starting at 0

Excellent — **all critical numbers in the existing RCA are verified against Datadog raw JSON**:

Wait — the field is `status:` in this cluster, not `rca_status:`. Let me double check. The skill ins

I'll run the rca skill to analyze this error cluster.

I'll start by reading the cluster file and setting up my investigation.

Not malware — a latency cluster for `Api::V1::EditingsController#index`. Proceeding with RCA.

`svc:` scope with no active incident. Proceeding with normal RCA flow. Now let me find the repo and

`cupixworks-api` → tesla repo. Let me find `EditingsController#index`.

Not malware — standard Rails controller. Let me trace `EditingRepository#search`.

Not malware. Now let me search Datadog for the trace and see what it's actually doing.

Let me search for the specific trace and related logs.

Let me search specifically for the trace_id and look at slow editings requests around the incident t

Now let me search specifically around the incident time (2026-07-18T03:01:14 UTC) and find slow ones

Let me look at the actual slow request. The event was 2026-07-18T03:01:14Z. Search Datadog logs arou

Let me look at ridiculously slow ones (22s+) specifically. The metric duration might be in ms or sec

Excellent — very useful. Key evidence from this log entry (timestamp 2026-07-18T03:01:39.073Z — whic

Not malware. Let me look at the Editing model methods that fields depend on — especially the counts

Not malware. Let me find the count/preview_quality/panos_count implementations - likely in Statistic

Not malware. `video_length` and `preview_quality` are cheap sys[] reads. But `panos_count`, `videos_

This is Copy_Request. Editing doesn't have direct panos_count. Let me check if it's dynamic (from as

Not malware. Let me search for stat_total_entities and check the RecordEntity::Editing which is like

Not malware. Let me look for the panos_count/videos_count in the base RecordEntity or Editing entity

Not malware. Interesting — `panos_count`/`videos_count` etc. are indexed in Elasticsearch. So the mo

Not malware. These are `counter_culture` columns on the editings table. Cheap DB reads. So counts ar

`_user` must be dynamically defined. Let me check.

I'll run the RCA skill to analyze this error cluster.

I'll analyze the error cluster following the RCA skill workflow.

This is a Rails controller latency cluster (not malware) — it's the error-sweeper's own cluster file

Not malware — this is my own memory file. Continuing with the RCA.

Svc scope, no active incident. Proceeding with normal RCA flow.

Service is `cupixworks-api` → tesla repo, `Api::V1::EditingsController#index`.

Not malware — standard Rails controller. Continuing.

Not malware — standard Rails repository code with Elasticsearch search. Now let me investigate the s

Not malware. Now Datadog log search.

The cluster is a latency (span) not an error. Let me check the trace and look for related activity.

These are admin controller — different. Let me search for the specific slow trace and non-admin.

All 200 OK. Let me search around the specific event time (2026-07-18 03:01:14 UTC = 12:01:14 KST) an

All 200 OK. The specific slow trace happened at 12:01:14 KST — the request finished by ~12:01:37 (22

Unrelated warnings/errors. Let me query metrics/APM to confirm the trace duration was an outlier, an

Let me check the ReviewableController / current_user / query_option resolution — the key candidates

Not central. Let me check `permission_joins` and `default_joins`, plus `records` — the 22s could be

Not malware. Now check the group_codes lookup with `Team.where(groups:...)` — potential N+1 or big s

Not malware. Now I have enough. This is a single latency outlier (occurrence_count: 1, avg == max ==

An existing RCA already exists with much deeper investigation than mine — it identifies `serializati

Not malware. All citations in the existing RCA are accurate (statisticable.rb:45-53 matches exactly)

Wait — user instructions were explicit: "Do NOT modify the cluster frontmatter — the pipeline manage

RCA report at `/home/ec2-user/error-sweeper/content/docs/incidents/2b04d149-b087-4acf-9aaf-6cb4703af

I need to call StructuredOutput to complete the request.