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

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

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Turn 0 — Assistant

Perfect! I've added temporary debug logging. Now here's your investigation guide:

Investigation Guide for Staging

Step 1: Deploy Debug Version

Build with debug logging
npm run build:dev

Deploy to staging (your deployment process)
Then enable feature switch if not already on

Step 2: Test with Console Open

Chrome DevTools Setup:
1. Open staging: https://pro-staging.doctolib.de/document_imports
2. Open Console (F12 → Console tab)
3. Filter by "[DEBUG]" to see only our logs
4. Clear console

Test Sequence:
1. Upload a document
2. Observe console logs - you should see:
      [DEBUG] Upload completed at: 12345.67
   [DEBUG] Document ID: abc-123-uuid
   [DEBUG] Invalidating cache now...
   [DEBUG] Fetching unclassified documents at: 12346.89
   [DEBUG] Fetch completed. Document count: X
   [DEBUG] Document IDs: [...]

3. Check if your document ID is in the list
4. If NOT, click "dokumente anzeigen" again
5. Check console again

Step 3: Analyze Timing Data

Record these metrics:
Upload End Time: _______ ms
Fetch Start Time: _______ ms
Time Gap: _______ ms (Fetch Start - Upload End)

First Attempt:
- Document in list? YES / NO
- Document count: _______

Second Attempt (if needed):
- Document in list? YES / NO  
- Document count: _______
- Time since upload: _______ ms

Step 4: Compare V1 vs V2

Test with feature switch OFF (V1):
1. Disable upload_document_write feature switch
2. Repeat test sequence
3. Record same metrics

Expected Findings:

If replication lag:
- ✅ V1: Time gap > 500ms (slower, gives time for replication)
- ❌ V2: Time gap < 100ms (faster, hits before replication)

If connection pooling:
- Both should fail equally (same db1/db1_readers config)

If caching:
- Different cache behavior between V1 and V2

Step 5: Backend Investigation

Check if V2 transaction actually commits:

Add this to V2 controller (engines/documents/app/controllers/documents/doctor_app/v2/documents_controller.rb):

def create
  # ... existing code ...
  @document = create_document_via_service(file, tanker_encrypted_file)
  
  # TEMPORARY: Debug - verify document is actually persisted
  Rails.logger.info("[DEBUG] Document created: #{@document.id}, persisted: #{@document.persisted?}")
  
  # TEMPORARY: Try to find it immediately
  found = Documents::Document.unscoped.find_by(id: @document.id)
  Rails.logger.info("[DEBUG] Document findable: #{found.present?}")
  
  handle_post_creation_response
  render formats: :json
  # ...
end

Check staging logs after upload to see if document is findable immediately after creation.

Step 6: Database Connection Check

In Rails console on staging:

Check if reads go to replicas
ActiveRecord::Base.connection.execute("SELECT pg_is_in_recovery();")
=> true = replica, false = primary

Check connection pool
Documents::Document.connection_pool.stat
Look for checked_out connections

Verify document exists on primary
Documents::Document.connection.execute("SELECT COUNT(*) FROM documents WHERE id = 'your-doc-id'")

Expected Outcome

After this investigation, you should be able to answer:

1. Is it replication lag?
   - If time gap V1 > V2, and second attempt always works → YES
   
2. Is it connection pooling?
   - If document is findable in Rails but not in query → Connection issue
   
3. Is it caching?
   - If document appears in different tabs differently → Cache issue
   
4. Is it something else?
   - If none of above, we need to dig deeper into V2 service implementation

Next Steps After Investigation

Once you identify the root cause, we can implement the appropriate fix:

- Replication lag → Force read from primary after write, or add smart delay
- Connection pooling → Use Database.on_writer for post-write queries
- Caching → Fix cache invalidation strategy
- Transaction not committed → Fix V2 service to ensure synchronous commit

Would you like me to help with any specific part of 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.

Turn 1 — Assistant

git diff