- Backend: /generate-discussion-guide now returns task_id immediately (202)
and runs generation as a background asyncio task, delivering the guide
via WebSocket task_completed event (bypasses GCP LB 30s timeout)
- Frontend: useDiscussionGuideGeneration awaits ws:task_completed event
to resolve the guide Promise instead of waiting on the HTTP response
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
_fg_logger was used but never defined, causing a NameError on every
PUT /focus-groups/:id request that included llm_model (i.e. all autosave
and handleSubmit updates) — resulting in a 500 Internal Server Error.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- FocusGroup.update: use matched_count > 0 instead of modified_count > 0
so updates succeed even when data is unchanged (was returning 500)
- useFocusGroupAutoSave: skip save if name is empty (not all-fields-empty)
preventing 400 Bad Request when autosave fires before name is filled
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Don't send full persona objects in WS event — only send counts.
Frontend navigates to list page where personas load from API.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- Backend: /generate-personas-full now returns task_id immediately (202)
and runs generation as a background asyncio task, delivering results
via WebSocket task_completed event (bypasses GCP LB 30s timeout)
- Frontend: AIRecruiter listens for ws:task_completed to process personas
instead of awaiting the long HTTP response
- Remove 53 debug console.log calls from websocketServiceNew.ts including
session_id exposure and a self-test emit that was firing fake events
- Remove debug logs from WebSocketContextNew, AIRecruiter, personaGenerator
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
google-genai SDK uses aiohttp when it's available in the environment
(installed via llama-index-core), causing AssertionError (connector is None)
on async requests. Pass httpx_async_client in HttpOptions to bypass aiohttp.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Replace ai-sandbox.oliver.solutions with optical-dev.oliver.solution
across all config, env, docs, and source files.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- Fix missing await on FocusGroup.get_messages() (N-L1)
- Replace time.sleep with asyncio.sleep in key_theme_service and focus_group_service (N-P10)
- Replace flask import with quart in focus_groups.py (N-S3)
- Add logger.error before all 500 returns in focus_groups.py (N-P6)
- Add logging to silent except blocks across routes (N-M10, N-M11)
- Add @rate_limit to 6 remaining AI endpoints (N-H4)
- Add --confirm flag to populate scripts before delete_many (S-H2)
- Remove hardcoded Azure ID fallbacks from msal_service.py and msalConfig.ts (A-M2, F-H4)
- Centralize make_serializable() in utils.py, remove duplicates from 3 route files (N-P7)
- Replace all datetime.utcnow() with datetime.now(timezone.utc) across entire backend (M-L2)
- AuthContext.tsx: only mark token validated on 200 success, not on non-401 errors (F-H2)
- Rename authType → auth_type in auth.py (N-S4)
- Add security_report.md and security_report.pdf with full 92-finding status
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Create comprehensive technical architecture document (PDF) with 11
chapters covering system architecture, frontend/backend design, data
model, auth, WebSocket communication, LLM integration, and core
feature flows. Includes 11 Mermaid diagrams rendered as PNGs.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Focus groups created before the gpt-5.2 rename have llm_model='gpt-5'
stored in MongoDB. Without an alias, the backend falls through to the
Gemini provider and fails with an aiohttp AssertionError.
Adds MODEL_ALIASES mapping and _resolve_model() helper so gpt-5 is
transparently resolved to gpt-5.2. Also updates all llm_model checks
to accept both values.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Swap model ID from gpt-5 to gpt-5.2 across all backend services,
frontend components, and documentation. Change default reasoning
effort from medium to low for faster responses.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Stage 2 (detailed persona generation) was ignoring the audience brief and
research objective, causing the LLM to guess research context from demographics
alone. Now passes both values through to generate_persona() in all three
endpoints (generate-personas-full, complete-and-save-persona, complete-persona)
and auto-generates prompt customization via customize_persona_prompt() when
they are provided.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Version 1.52.0 has a known bug where aiohttp connector is None.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
logger is not defined at module level where get_gemini_client() lives.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
This will help identify where exactly the AssertionError is occurring
in the google-genai SDK and what version is installed on the server.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
Log full exception details: type, module, str, repr, args, and __dict__
to diagnose why Gemini errors are producing empty messages.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
Catch genai_errors.APIError specifically and extract e.code and e.message
attributes for proper error logging. The generic str(e) was returning empty
strings for Google API errors, making debugging impossible.
- Import google.genai.errors for specific exception handling
- Add APIError catch before generic Exception in generate_content()
- Add APIError catch before generic Exception in generate_contextual_response()
- Properly categorize errors by HTTP code for retry logic (429/500+ retryable)
- Fix time.sleep to await asyncio.sleep in contextual response handler
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
The previous event loop tracking approach still caused issues - when replacing
a cached client, its garbage collection triggers aclose() which tries to close
the aiohttp session on the wrong event loop.
Simplest fix: create a fresh client for each call. The overhead is minimal
compared to the actual LLM API call, and this completely avoids all event
loop mismatch issues in ASGI environments.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
The previous lazy initialization fix wasn't sufficient - the genai.Client
internally caches async structures bound to the event loop at creation time.
With ASGI servers like Hypercorn, subsequent requests may come on different
event loop contexts, causing "Future attached to a different loop" errors.
Now tracks which event loop the client was created on and recreates it if
the loop has changed.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
These files are already in .gitignore but were committed previously.
Removing them from tracking to prevent future conflicts.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
The genai.Client and AsyncOpenAI clients were being created at module
import time, before the Quart/Hypercorn event loop existed. This caused
"Future attached to a different loop" errors when async calls were made,
resulting in autonomous focus group conversations stopping with
"excessive_silence".
Changed to lazy initialization - clients are now created on first use
within the running event loop context via get_gemini_client() and
get_openai_client() helper functions.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
Legacy code from Flask-SocketIO migration that's no longer used.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
Fixes ModuleNotFoundError on server by using the custom
Quart-compatible JWT implementation.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
- Create focus_group_summary_service.py to generate concise summaries
- Add prompt template for summary generation
- Integrate summary generation after discussion guide creation
- Display summary under focus group title in list view with fallback to description
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
- Replace suggestions panel with auto-apply: enhanced text now populates form fields automatically
- Add modal showing assumptions made during enhancement (3-5 bullet points)
- Reduce prompt scope by 50% for more focused, impactful enhancements
- Update backend to return enhanced text + assumptions instead of suggestions array
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
- Upgraded google-genai package from 1.31.0 to 1.52.0
- Updated DEFAULT_MODEL in llm_service.py to gemini-3-pro-preview
- Updated all backend routes, services, and models with new model string
- Updated all frontend components with new model string and display labels
- Updated CLAUDE.md documentation
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
- persona generation now retries up to 2 times on failure
- missing persona fields are intelligently completed based on context
- expanded required field validation from 5 to 9 fields
- prompt now explicitly lists all required fields with validation instructions
- fixed discussion guide cancellation check to handle object responses
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
