Project: doctolib-doctolib · Branch: master · Mode:  · Model: claude-sonnet-4-5-20250929

Stats: 1 user messages, 0 tool calls, tools used: none.

Conversation

Turn 0 — Assistant

Perfect! Here's your breakpoint investigation guide:

Browser Breakpoint Investigation Guide

Setup (Chrome DevTools on Staging)

1. Open staging: https://pro-staging.doctolib.de/document_imports
2. Open DevTools: F12 or Cmd+Option+I
3. Go to Sources tab
4. Disable cache: Settings (⚙️) → Disable cache
5. Preserve log: Network tab → ✓ Preserve log

---

Critical Breakpoints to Set

Breakpoint 1: Upload Completes (Frontend)

File: Press Cmd+P → type DocumentImportContext.tsx

Location: Line 396 (right after setDocuments)

395:          return result
396:        })
397:        void invalidateUnclassifiedDocuments()  // ← SET BREAKPOINT HERE

What to inspect when breakpoint hits:
// In Console tab (while paused):
uploadedDocument.id           // Document UUID
Date.now()                    // Timestamp (record this)
isFeatureEnabled('upload_document_write')  // Verify feature switch

---

Breakpoint 2: Cache Invalidation Function

File: Cmd+P → type unclassifiedDocuments.ts

Location: Line 128 (inside useInvalidateUnclassifiedDocumentsIndex)

125: export const useInvalidateUnclassifiedDocumentsIndex = () => {
126:   const queryClient = useQueryClient()
127:
128:   return () => queryClient.invalidateQueries({ queryKey })  // ← BREAKPOINT HERE
129: }

What to inspect:
queryKey                      // Should be ['unclassified_documents']
queryClient.getQueryCache()   // See current cache state

---

Breakpoint 3: Query Execution Starts

File: unclassifiedDocuments.ts

Location: Line 44 (GET request starts)

41:   return useQuery({
42:     queryKey,
43:     queryFn: async ({ signal }) => {
44:       const { status, bodyData } = await httpClient.get<...>(  // ← BREAKPOINT HERE
45:         '/doctor_app/unclassified_documents',

What to inspect:
Date.now()                    // Timestamp (compare to upload timestamp)
signal.aborted                // Check if request was cancelled

---

Breakpoint 4: Query Results Received

File: unclassifiedDocuments.ts

Location: Line 51 (after GET completes)

49:       )
50:
51:       if (Array.isArray(bodyData)) {  // ← BREAKPOINT HERE
52:         try {

What to inspect:
bodyData.length               // How many documents returned?
bodyData.map(d => d.id)      // List of document IDs
bodyData.find(d => d.id === 'YOUR_UPLOADED_DOC_ID')  // Is new doc here?
status                        // HTTP status code

---

Investigation Workflow

Test 1: V2 Upload (Feature Switch ON)

1. Set all 4 breakpoints
2. Upload a document
3. When Breakpoint 1 hits (upload complete):
      // Console:
   let docId = uploadedDocument.id
   let uploadTime = Date.now()
   console.log('Uploaded:', docId, 'at', uploadTime)
   // Resume (F8)

4. When Breakpoint 2 hits (invalidation):
      // Console:
   console.log('Invalidating at', Date.now())
   console.log('Gap:', Date.now() - uploadTime, 'ms')
   // Resume (F8)

5. When Breakpoint 3 hits (query starts):
      // Console:
   let fetchTime = Date.now()
   console.log('Fetching at', fetchTime)
   console.log('Gap from upload:', fetchTime - uploadTime, 'ms')
   // Resume (F8)

6. When Breakpoint 4 hits (results):
      // Console:
   console.log('Got', bodyData.length, 'documents')
   let found = bodyData.find(d => d.id === docId)
   console.log('New doc found?', !!found)
   
   // CRITICAL: If NOT found, check these:
   bodyData.map(d => d.id)     // List all IDs

7. If document NOT found:
   - Note the timestamp
   - Click "dokumente anzeigen" again
   - Breakpoint 4 will hit again
   - Check if document appears now

---

Test 2: V1 Upload (Feature Switch OFF)

Disable feature switch, then repeat Test 1 with same breakpoints.

Compare:
- Upload → Fetch time gap (V1 vs V2)
- Document found on first attempt? (V1 vs V2)

---

Network Tab Analysis (Parallel Investigation)

While using breakpoints, also watch Network tab:

Key Requests to Monitor:

POST Request (Upload):
POST /doctor_app/v2/documents  (V2)
POST /doctor_app/documents     (V1)

Check:
- Status: 200
- Time: ___ms
- Response body contains: document.id

GET Request (List):
GET /doctor_app/unclassified_documents

Check:
- Status: 200
- Time: ___ms
- Response body: array of documents
- Contains your new document? YES/NO
- Timing tab: TTFB (Time To First Byte)

Critical Timing Analysis:

In Network tab Timing panel for the GET request:
- Queueing: Connection pool wait?
- Stalled: Waiting for available connection?
- Waiting (TTFB): Server processing time
- Content Download: Response transfer time

---

What Each Scenario Tells You

Scenario A: Fast V2, Slow V1
V2: Upload→Fetch gap: 50ms   → Doc NOT found → Replication lag
V1: Upload→Fetch gap: 300ms  → Doc found     → More time for replication

Root Cause: V2 is faster, queries before replica catches up

---

Scenario B: Both Use Same Timing
V2: Upload→Fetch gap: 100ms → Doc NOT found
V1: Upload→Fetch gap: 100ms → Doc found

Root Cause: Something different in V1/V2 backend (not timing)

---

Scenario C: Network Shows Connection Reuse
Network tab shows:
- Upload uses Connection ID: 123
- Fetch uses Connection ID: 124 (different!)

Root Cause: Connection pooling - different connection can't see write

---

Quick Investigation Commands (Console)

While paused at any breakpoint:

// Check feature switch
isFeatureEnabled('upload_document_write')

// Check React Query cache
window.__REACT_QUERY_DEVTOOLS_CACHE__

// Force read cache
queryClient.getQueryData(['unclassified_documents'])

// Check timing
performance.now()  // Current time in milliseconds

// Network timing
performance.getEntriesByType('resource')
  .filter(r => r.name.includes('unclassified_documents'))

---

Investigation Checklist

- [ ] V2 Upload→Fetch gap measured: _____ ms
- [ ] V1 Upload→Fetch gap measured: _____ ms
- [ ] V2 first attempt finds document: YES / NO
- [ ] V1 first attempt finds document: YES / NO
- [ ] V2 second attempt finds document: YES / NO
- [ ] Network shows different connection IDs: YES / NO
- [ ] GET request TTFB time: _____ ms

---

After gathering this data, you'll know:
1. Is V2 faster than V1? → Explains timing race
2. Do both fail equally? → Rules out timing, points to V2 backend bug
3. Does 2nd attempt always work? → Confirms it's a timing issue

Want me to help analyze the results once you've run this investigation?

Turn 1 — User

[SUGGESTION MODE: Suggest what the user might naturally type next into Claude Code.]

FIRST: Look at the user's recent messages and original request.

Your job is to predict what THEY would type - not what you think they should do.

THE TEST: Would they think "I was just about to type that"?

EXAMPLES:
User asked "fix the bug and run tests", bug is fixed → "run the tests"
After code written → "try it out"
Claude offers options → suggest the one the user would likely pick, based on conversation
Claude asks to continue → "yes" or "go ahead"
Task complete, obvious follow-up → "commit this" or "push it"
After error or misunderstanding → silence (let them assess/correct)

Be specific: "run the tests" beats "continue".

NEVER SUGGEST:
- Evaluative ("looks good", "thanks")
- Questions ("what about...?")
- Claude-voice ("Let me...", "I'll...", "Here's...")
- New ideas they didn't ask about
- Multiple sentences

Stay silent if the next step isn't obvious from what the user said.

Format: 2-12 words, match the user's style. Or nothing.

Reply with ONLY the suggestion, no quotes or explanation.