MaskWork::maskPanos | script img_original = cv2.cvtColor(img_original, cv2.COLOR_BGR2RGB)

Now I have the cluster details. Let me invoke the RCA skill.

Let me search Datadog logs and identify the repository in parallel.

Good. I have the Datadog logs and the repository location. Now let me explore the source code for th

I can see the critical issue at line 32 — the `spawn` call uses `env: { INPUT_DIRPATH, OUTPUT_DIRPAT

Now let me look at the Python script that's bundled via the face-body-detector dependency. Since it'

Now let me look at the download logic to understand how images get to the input directory, and also

Now let me read the full `aws-s3.manager.ts` to see the download error handling pattern.

Critical finding: in `downloadParallel` (line 75-77), the download error is caught and **only logged

This confirms the pattern. The `pixgenie.process.ts` correctly uses `{ ...process.env, ...this.build

The Python script is at `/tmp/lib/face-body-detector/cupix_inference.py` (from the stack trace). It'

The Python script is not in the repo (it's a binary dependency fetched from S3 during Docker build).

The face-body-detector script isn't available locally. But from the stack trace and the code analysi

Now let me update the cluster frontmatter — but the user explicitly said **NOT** to modify the clust

RCA report written to `./content/docs/incidents/e4437a83-9aed-48bb-8ad9-b7b32b29c6ef/rca.mdx`. Per y

No existing state.mdx found — starting from Phase 0. Let me read the templates and check for memory

Let me find the templates and read the relevant memory files.

Found 4 relevant episodes and service memory. Let me read the templates now.

Good. Now let me read the repo-mapping skill and look at the relevant source files.

**Phase 0 complete.** Found 4 relevant episodes + service memory for `cupixworks-pix-genie-preproces

Let me explore the actual source code to understand the current implementation.

Good. Now I have full understanding. The fix is in `pano-postprocessor-manager.ts:29-32` — adding a

Excellent! I found a critical reference pattern. The `preprocessor-service.ts:296` shows the **exact

Now I have everything. `Pano.ResourceStateEnum.Uploaded` is the correct enum value. The fix is a sin

## Phase 2: Plan

Update state.mdx for Plan completion.

## Phase 3: Create Jira Issue

Now create the Jira issue with the rendered template content.

Jira issue created: **TSLA-12759**. Now update the description with full RCA and add the remote link

Now let me create the temp RCA file for Jira, update Jira description, and add the remote link.

Good, the frontmatter is stripped. Now update Jira and add the remote link.

Now update state.mdx with Jira info.

## Phase 4: Prepare Worktree

Now apply sparse checkout and copy gitignored files.

Now update state.mdx for Phase 4 completion.

## Phase 5: Implement

Now I'll implement the fix. I need to:

Now let me lint the changed file.

Lint is disabled for this package. Let me check for the Nx package name to run tests.

The worktree doesn't have node_modules installed since it's a sparse checkout. The plan says no spec

No spec file exists. Now commit the changes.

Update state.mdx for Phase 5 completion.

## Phase 6: Validate (Blind Subagent)

Good, the diff is clean. Now launch the blind validation subagent.

Validation **APPROVED**. Let me verify the file was written.

Validation is APPROVED. Let me add the title and update state.mdx.

Now update state.mdx for validation completion.

## Phase 7: Create PR

Now create the PR.

PR created! PR ID: **87491**. Now update state.mdx and cluster file.

Now update the cluster file to set `resolution: pr_created`.

## Phase 8: Reflection

Now update service memory.

Now create summary.mdx.

Update state.mdx Reflection row.

All phases complete. Here's the summary: