Session: eager-forging-otter-subagent-acompact — 2026-02-19

Project: findDocuments-api · Branch: FHIR-2020-implement-hl-findDocuments-api · Mode: ` · **Model:**claude-sonnet-4-6`

Stats: 2 user messages, 0 tool calls, tools used: none.

Conversation

Turn 1 — User

Your response was cut off because it exceeded the output token limit. Please break your work into smaller pieces. Continue from where you left off.

Turn 2 — User

Your task is to create a detailed summary of the conversation so far, paying close attention to the user's explicit requests and your previous actions. This summary should be thorough in capturing technical details, code patterns, and architectural decisions that would be essential for continuing development work without losing context.

Before providing your final summary, wrap your analysis in <analysis> tags to organize your thoughts and ensure you've covered all necessary points. In your analysis process:

1. Chronologically analyze each message and section of the conversation. For each section thoroughly identify: - The user's explicit requests and intents - Your approach to addressing the user's requests - Key decisions, technical concepts and code patterns - Specific details like:
   • file names
   • full code snippets
   • function signatures
   • file edits
   • Errors that you ran into and how you fixed them
   • Pay special attention to specific user feedback that you received, especially if the user told you to do something differently.
2. Double-check for technical accuracy and completeness, addressing each required element thoroughly.

Your summary should include the following sections:

1. Primary Request and Intent: Capture all of the user's explicit requests and intents in detail
2. Key Technical Concepts: List all important technical concepts, technologies, and frameworks discussed.
3. Files and Code Sections: Enumerate specific files and code sections examined, modified, or created. Pay special attention to the most recent messages and include full code snippets where applicable and include a summary of why this file read or edit is important.
4. Errors and fixes: List all errors that you ran into, and how you fixed them. Pay special attention to specific user feedback that you received, especially if the user told you to do something differently.
5. Problem Solving: Document problems solved and any ongoing troubleshooting efforts.
6. All user messages: List ALL user messages that are not tool results. These are critical for understanding the users' feedback and changing intent.
7. Pending Tasks: Outline any pending tasks that you have explicitly been asked to work on.
8. Current Work: Describe in detail precisely what was being worked on immediately before this summary request, paying special attention to the most recent messages from both user and assistant. Include file names and code snippets where applicable.
9. Optional Next Step: List the next step that you will take that is related to the most recent work you were doing. IMPORTANT: ensure that this step is DIRECTLY in line with the user's most recent explicit requests, and the task you were working on immediately before this summary request. If your last task was concluded, then only list next steps if they are explicitly in line with the users request. Do not start on tangential requests or really old requests that were already completed without confirming with the user first. If there is a next step, include direct quotes from the most recent conversation showing exactly what task you were working on and where you left off. This should be verbatim to ensure there's no drift in task interpretation.

Here's an example of how your output should be structured:

<example> <analysis> [Your thought process, ensuring all points are covered thoroughly and accurately] </analysis>

<summary> 1. Primary Request and Intent: [Detailed description]

2. Key Technical Concepts: - [Concept 1] - [Concept 2] - [...]

3. Files and Code Sections: - [File Name 1]

   • [Summary of why this file is important]
   • [Summary of the changes made to this file, if any]
   • [Important Code Snippet]
   • [File Name 2]
   • [Important Code Snippet]
   • [...]

4. Errors and fixes:

   • [Detailed description of error 1]:
   • [How you fixed the error]
   • [User feedback on the error if any]
   • [...]

5 …(truncated, 1143 more chars)

Turn 2 — Assistant

<analysis> Let me analyze the conversation chronologically to create a comprehensive summary.

1. The conversation is a continuation from a previous session that ran out of context.
2. The primary task is fixing CI failures in packages/@doctolib/dmp/src/hooks/tests/DmpSharingService.test.ts - specifically "Cannot log after tests are done" errors related to HappyDOM AbortErrors during environment teardown.

From the previous session context: - Fix 1: Added .mockImplementation(() => {}) to all jest.spyOn(console, 'error') calls - Fix 2: Added cancelQueries() + clear() in afterEach - Fix 3: Added afterAll hook (removed, didn't work) - Fix 4: Added window.happyDOM?.abort() in afterEach (current state)

In this session: 1. User said "continue" after the session was restored 2. Checked CI status - run 22177993975 was in progress 3. Got CI failure details - still "Cannot log after tests are done" 4. Investigated HappyDOM internals deeply: - @happy-dom/jest-environment v20.3.1: teardown calls await this.global.happyDOM.abort() - DetachedWindowAPI.abort() → DetachedBrowserFrame.abort() → AsyncTaskManager.abort() - abortAll() clears tasks and fires abort handlers synchronously - dd-trace wraps the environment teardown and resets console.error BEFORE calling the inner teardown's abort() 5. Tried patching queryCacheOptionsV5.onError to filter AbortErrors at module level 6. This fix passed pre-commit but still failed CI 7. Investigated React Query v5's QueryCache - stores config by reference (this.config = config) 8. Found that console.error being called is NOT through queryCacheOptionsV5.onError (JSON format) but with raw DOMException 9. User asked "Why is this happening?" - I was researching the root cause when the token limit was hit

Key findings: - The logged message format is "DOMException [AbortError]: The operation was aborted. at Fetch.onAsyncTaskManagerAbort..." which is NOT JSON format - queryCacheOptionsV5.onError logs JSON.stringify(error, Object.getOwnPropertyNames(error)) which would produce JSON format - So the console.error must be coming from a DIFFERENT source, not queryCacheOptionsV5.onError - The DOMException is created in onAsyncTaskManagerAbort() at line 710 - The log format suggests console.error(rawDomException) is being called somewhere - HappyDOM's Fetch.js has this.#browserFrame.page.console.error(...) for non-ok responses

The user's question "Why is this happening?" needs to be answered, then a proper fix implemented.

Current state of the test file (after all previous fixes): - All jest.spyOn(console, 'error') calls have .mockImplementation(() => {}) - queryCacheOptionsV5 is imported and its onError is patched to filter AbortErrors - afterEach only has cancelQueries() and clear() - Still failing CI

The next step is to answer the user's question about WHY this is happening, then propose and implement a definitive fix. </analysis>

<summary> 1. Primary Request and Intent: Fix CI failures in packages/@doctolib/dmp/src/hooks/tests/DmpSharingService.test.ts. The specific error is "Cannot log after tests are done. Did you forget to wait for something async in your test?" caused by HappyDOM AbortErrors firing during environment teardown. User's latest question: "Your response was cut off because it exceeded the output <REDACTED> the error states 'Cannot log after tests are done. Did you forget to wait for something async in your test?'. Why is this happening?"

2. Key Technical Concepts: - @happy-dom/jest-environment v20.3.1: test environment for @doctolib/dmp package - AsyncTaskManager in HappyDOM: tracks pending async tasks (fetch requests, timers) and aborts them on teardown - DatadogEnvironment.teardown (dd-trace): wraps HappyDOMEnvironment.teardown, resets console.error to "closed" BufferedConsole BEFORE calling inner teardown's window.happyDOM.abort() - queryCacheOptionsV5.onError: React Query v5 global error handler calling console.error(JSON.stringify(error, Object.getOwnPropertyNames(error))) and captureException() - queryClientV5: singleton React Query client from @doctolib/shared_context, with retry: false - restoreMocks: true in jest.config.js: restores all jest spies after each test - failJestTestsOnConsoleError.ts: installs spy on console.error in global beforeEach, checks for non-AbortError calls in global afterEach, and installs a direct AbortError filter - MSW (Mock Service Worker): intercepts HTTP requests; some handlers have await delay(250) - frDmpDocuments.ts: calls queryClientV5.fetchQuery() — 200 handler has 250ms delay leaving fetches in-flight

3. Files and Code Sections: - packages/@doctolib/dmp/src/hooks/tests/DmpSharingService.test.ts (primary target):

   • Current state of relevant sections: ```typescript import { queryClientV5, queryCacheOptionsV5 } from '@doctolib/shared_context' // ... const server = mswServer() const fsMocker = new FeatureSwitchMocker()

   // Suppress AbortErrors in queryCacheOptionsV5.onError to prevent "Cannot log after tests are done" // during HappyDOM environment teardown. HappyDOM aborts pending fetches during teardown, triggering // React Query's onError with AbortErrors — but by then dd-trace has already reset console.error // to a "closed" state that throws on any call. This direct assignment (not a jest spy) persists // through restoreMocks and through teardown, breaking the chain before console.error is reached. const originalQueryCacheOnError = queryCacheOptionsV5.onError

   queryCacheOptionsV5.onError = (...args: Parameters<typeof originalQueryCacheOnError>) => { const [error] = args if (error != null && typeof error === 'object' && (error as { name?: string }).name === 'AbortError') return originalQueryCacheOnError(...args) } // ... describe('DmpSharingService class', () => { afterEach(async () => { await queryClientV5.cancelQueries() queryClientV5.clear() })

 - **`node_modules/@happy-dom/jest-environment/lib/index.js`**:
   - `teardown()` calls `await this.global.happyDOM.abort()` then `this.global.close()`
   - Comment: "window.happyDOM?.waitUntilComplete() and window.happyDOM?.abort() to not work as expected" in tests

 - **`node_modules/happy-dom/lib/async-task-manager/AsyncTaskManager.js`**:
   - `abort()`: fast path if no tasks; otherwise calls `abortAll(false)`
   - `abortAll(destroy)`: clears all running tasks/timers, fires all abort handlers synchronously, then calls `resolveWhenComplete()` which schedules a `TIMER.setTimeout`
   - `TIMER = { setTimeout: globalThis.setTimeout.bind(globalThis), ... }` — captured at module load time

 - **`node_modules/happy-dom/lib/fetch/Fetch.js`**:
   - `sendRequest()`: calls `startTask(() => this.onAsyncTaskManagerAbort())` at line 416
   - `onAsyncTaskManagerAbort()` at line 545: creates AbortError, sets `aborted` flags, calls `this.nodeRequest.destroy(error)`, does NOT call `this.reject()` directly
   - `this.nodeRequest.on('error', this.onError.bind(this))` at line 473
   - Line ~540: `this.reject(new DOMException('Failed to execute "fetch()" on "Window"...', 'NetworkError'))`

 - **`packages/@doctolib/shared_context/src/react-query/queryClientV5.ts`**:
   ```typescript
   export const queryCacheOptionsV5 = {
     onError: (error: unknown, query: Query<unknown, unknown, unknown>) => {
       if (shouldNotReportQueryError(query) || ...) return
       console.error(JSON.stringify(jsError, Object.getOwnPropertyNames(jsError)))
       captureException({ ...jsError, message: enhancedMessage })
     },
   }
   export const queryClientV5 = new QueryClient({
     queryCache: new QueryCache(queryCacheOptionsV5), // stored by reference
     ...
   })

• **`node_modules/@tan …(truncated, 5872 more chars)