Public

Fixing Poker Hand Analysis Solver FailuresPublic

The user aimed to fix a complex issue causing poker hand analysis to fail due to solver timeouts, concurrency mismatches, and data inconsistencies. They identified and resolved problems with combo key mismatches, queue starvation, solver concurrency limits, and incorrect stack data. After multiple targeted fixes and environment cleanups, the analysis flow stabilized, passing end-to-end tests and UI checks, ensuring reliable hand analysis without timeouts or crashes.

Agent

Codex

Model

GPT-5.4

Shared

Mar 27, 5:13 PM

Messages1,065

Context from my IDE setup:

Active file: README.md

Active selection of the file:

Solver-backed

Open tabs:

README.md: README.md
AGENTS.md: AGENTS.md
page.tsx: apps/web/src/app/page.tsx
page.tsx: apps/web/src/app/hands/page.tsx
site-metadata.ts: apps/web/src/lib/site-metadata.ts

My request for Codex:

Goal:
Review your recently changed files for code reuse, quality, and efficiency issues, then fix them.
Run the Playwright test, debug any failures, fix the real root cause, and keep going until the test passes reliably.

Important working rules:

First identify the root problem before changing code
Do not guess
Inspect the repo and existing Playwright setup first
Reuse existing Playwright config, helpers, fixtures, auth state, selectors, and test utilities if they already exist
Make sure not to patch the code, but to solve it with clear, simple, and robust logic
Prefer real product fixes over test-only hacks
Do not add brittle sleeps unless there is no better option
Do not commit or push

What I want you to do

Phase 1: Inspect

Inspect the repo structure
Find:
- Playwright config
- existing e2e tests
- auth setup / storage state
- helper utilities
- run commands
- relevant app routes and components used by the failing flow
Identify the exact test to run and any required local assumptions

Phase 2: Run the test

Run the relevant Playwright test
Capture:
- test output
- failing step
- screenshots
- trace if available
- console errors
- network failures
Do not start editing until you understand the failure

Phase 3: Debug the root cause

Determine whether the failure is caused by:
- broken product logic
- stale or missing test selectors
- async race condition
- worker / API / queue issue
- auth / session issue
- incorrect test assumption
Fix the actual source of truth
Do not patch around the bug with weak waits or fragile selectors unless absolutely necessary

Phase 4: Re-run and stabilize

Re-run the failing Playwright test
If it still fails, continue debugging
Repeat until it passes consistently
If needed, run the test more than once to confirm stability

Technical expectations

Use stable selectors
Prefer role, label, test id, or existing semantic selectors
If selectors are missing, add the minimum stable selectors needed
If there is a timing issue, wait on real state changes, not arbitrary delays
If backend state is wrong, fix backend logic instead of masking it in the test
If a worker / queue / analysis pipeline is involved, inspect that flow too

Use Playwright MCP to test the website end to end:

open the app
click through the relevant pages
reproduce the failing flow
verify the fix in the real UI

Validation
After fixing, run:

the relevant Playwright test again
any nearby targeted unit/integration tests affected by the fix
anything else needed to confirm there is no obvious regression

Output format

Root cause
Files changed
Tests run
Final result
Any remaining risks

Critical instruction
Do not stop at a superficial pass.
The task is only done when the Playwright test passes and the underlying issue is fixed with clear, simple, and robust logic.

I’m inspecting the workspace first to locate the Playwright setup, the relevant app flow, and the files changed in the current worktree before I run anything. After that I’ll execute the exact failing e2e path, collect the failure artifacts, and only then make code changes.

I’ve found the Playwright harness and there’s a single e2e flow under tests/e2e/analysis-flow.spec.ts, with global setup enforcing an existing authenticated storage state at playwright/.auth/google-user.json. Next I’m reading the config, setup, and that test to determine the exact route coverage and prerequisites before I run it.

The e2e flow covers /, /table/[roomId], /hands, and /hands/[handId], and it depends on a live web app on http://localhost:3000, API on http://localhost:3001, the analysis worker being healthy, plus a valid Playwright auth state file. I’m reading the route/components tied to those selectors now, along with the existing worktree diff, so I can correlate any failure with the recent changes instead of treating the test in isolation.

Plan:

Inspect the current e2e prerequisites and the route/component code used by analysis-flow.spec.ts.
Run the Playwright flow and collect the actual failure point, trace, console, and network evidence.
Trace the failing behavior into the product code and recent worktree changes, then fix the root cause with minimal edits.
Re-run the Playwright flow and any targeted nearby tests until the result is stable.

I’m checking whether the local stack is actually available before invoking Playwright. If it isn’t, I’ll start the repo’s existing pnpm dev flow rather than inventing a separate test harness.

Before I start the stack, I’m checking the analysis debug UI flags the e2e test depends on. That flow explicitly requires the debug panel to be enabled, so I need to confirm whether the app boots with those settings or whether the failure would just be an environment mismatch.

The stack isn’t up, so I’m starting the repo’s own pnpm dev entrypoint with the debug flags the e2e requires. After it comes up, I’ll run the Playwright spec exactly as configured and keep the first failure intact for diagnosis.

The repo’s own dev script failed because port 3000 was already occupied by another process, so I’m identifying that owner next. If it’s this same repo, I’ll replace it with a fresh run under the required debug flags; if it’s unrelated, I’ll route around it instead of guessing.

Ports 3000 and 3001 are already served by this same repo’s Node processes, which explains the startup conflict. I’m enumerating the rest of the repo-owned processes now so I can restart the stack cleanly under the required env flags instead of mixing old and new instances.

I found an older repo dev stack still running: Next dev, API watch, worker watch, and the table watcher. I’m stopping just those repo watcher processes, then I’ll restart pnpm dev cleanly so the e2e runs against one consistent stack with the debug UI enabled.

The stack is now healthy enough to run the e2e, so I’m invoking the single configured Playwright spec directly. I’m not touching code yet; the next step is to preserve the first real failure with its artifacts and correlate it to the product path.

The first failure is specific: the analysis completed, but the hand-review page no longer exposes a Preflop 1 button that the existing test expects. I’m inspecting the hand-detail navigation logic and the failure artifacts now to determine whether this is a stale test assumption or a real UI regression in the recent hand-review changes.

I’ve confirmed from the failure screenshot that the page is already on the preflop decision when there is only one hero decision on that street, and the navigation intentionally renders Preflop instead of a separate Preflop 1 button. I’m validating that against the existing unit tests and then I’ll update the e2e flow to use the stable street/decision test ids the page already exposes.

I’ve got the failure pinned to the e2e selector logic, not the analysis pipeline. I’m patching the spec so it selects the street’s active decision the same way the product does: a street tab when there’s one hero decision, or the numbered first decision when there are multiple.

The spec is patched to follow the page’s actual navigation model instead of assuming every street has a numbered first-decision button. I’m rerunning the full Playwright flow now; if anything else fails, I’ll keep tracing until the real path passes cleanly.

The next failure is a real product issue: the whole-hand pipeline is getting blocked because a postflop decision ends in hero_combo_unavailable, so later streets never finish. I’m tracing that through the analysis pipeline and the decision canonicalization code now, using the exact error path from the worker output rather than patching the test.

The pipeline failure is specifically hero_key_not_in_combo_map, which means the solver returned a combo policy map but the hero hand lookup key didn’t match any combo entry. I’m tracing the combo-key generation path now, including the shared TexasSolver key helpers and any recent table-state changes that might have altered the hero cards used for lookup.

I need to see the actual failing hand data next, not just the status summary. If the hero combo truly isn’t in the solver map, the likely causes are either a bad hero combo lookup or an impossible hand state, so I’m pulling the stored hand/decision/event records for that exact failed hand.

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