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fix: WYSIWYG editor, content generation, and writing assistant bug fixes

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- Fix text selection menu not showing: wire contentRef via inputRef on multiline TextField
- Fix blog title not truncating: add min-w-0 for flex item overflow
- Fix outline generation 500: escape curly braces in f-string prompt template
- Fix content generation 'NoneType not callable': replace SessionLocal() with get_session_for_user(), add db param to MediumBlogGenerator, fix signature mismatch in database_task_manager
- Fix writing assistant suggest 500: add auth + user_id to API endpoint and service, replace sync requests with httpx.AsyncClient
- Fix hallucination detector 404: explicitly include router in main.py and app.py
- Fix missing error_data in task failure responses
- Hide CopilotKit web inspector button
- Remove hardcoded fallback suggestions from SmartTypingAssist
- Fix stale closure refs in SmartTypingAssist handleTypingChange
- Add two-column editor layout, stats bar, section hover menu
- Various subscription, billing, and research module improvements
This commit is contained in:
ajaysi
2026-05-14 09:11:30 +05:30
parent 7385100017
commit 928c2f20aa
113 changed files with 4344 additions and 10064 deletions
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41
backend/services/blog_writer/research/research_service.py
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@@ -111,19 +111,22 @@ class ResearchService:
# Exa research workflow
from .exa_provider import ExaResearchProvider
from services.subscription.preflight_validator import validate_exa_research_operations
from services.database import get_db
from services.database import get_session_for_user
from services.subscription import PricingService
import os
import time
# Pre-flight validation
db_val = next(get_db())
# Pre-flight validation (use get_session_for_user since get_db is a FastAPI dependency)
db_val = get_session_for_user(user_id)
if not db_val:
raise HTTPException(status_code=503, detail="Database temporarily unavailable. Please try again.")
try:
pricing_service = PricingService(db_val)
gpt_provider = os.getenv("GPT_PROVIDER", "google")
validate_exa_research_operations(pricing_service, user_id, gpt_provider)
finally:
db_val.close()
if db_val:
db_val.close()
# Execute Exa search
api_start_time = time.time()
@@ -162,13 +165,15 @@ class ResearchService:
elif config.provider == ResearchProvider.TAVILY:
# Tavily research workflow
from .tavily_provider import TavilyResearchProvider
from services.database import get_db
from services.database import get_session_for_user
from services.subscription import PricingService
import os
import time
# Pre-flight validation (similar to Exa)
db_val = next(get_db())
# Pre-flight validation (use get_session_for_user since get_db is a FastAPI dependency)
db_val = get_session_for_user(user_id)
if not db_val:
raise HTTPException(status_code=503, detail="Database temporarily unavailable. Please try again.")
try:
pricing_service = PricingService(db_val)
# Check Tavily usage limits
@@ -429,14 +434,16 @@ class ResearchService:
# Exa research workflow
from .exa_provider import ExaResearchProvider
from services.subscription.preflight_validator import validate_exa_research_operations
from services.database import get_db
from services.database import get_session_for_user
from services.subscription import PricingService
import os
await task_manager.update_progress(task_id, "🌐 Connecting to Exa neural search...")
# Pre-flight validation
db_val = next(get_db())
# Pre-flight validation (use get_session_for_user since get_db is a FastAPI dependency)
db_val = get_session_for_user(user_id)
if not db_val:
raise HTTPException(status_code=503, detail="Database temporarily unavailable. Please try again.")
try:
pricing_service = PricingService(db_val)
gpt_provider = os.getenv("GPT_PROVIDER", "google")
@@ -446,7 +453,8 @@ class ResearchService:
await task_manager.update_progress(task_id, f"❌ Subscription limit exceeded: {http_error.detail.get('message', str(http_error.detail)) if isinstance(http_error.detail, dict) else str(http_error.detail)}")
raise
finally:
db_val.close()
if db_val:
db_val.close()
# Execute Exa search
await task_manager.update_progress(task_id, "🤖 Executing Exa neural search...")
@@ -485,14 +493,16 @@ class ResearchService:
elif config.provider == ResearchProvider.TAVILY:
# Tavily research workflow
from .tavily_provider import TavilyResearchProvider
from services.database import get_db
from services.database import get_session_for_user
from services.subscription import PricingService
import os
await task_manager.update_progress(task_id, "🌐 Connecting to Tavily AI search...")
# Pre-flight validation
db_val = next(get_db())
# Pre-flight validation (use get_session_for_user since get_db is a FastAPI dependency)
db_val = get_session_for_user(user_id)
if not db_val:
raise HTTPException(status_code=503, detail="Database temporarily unavailable. Please try again.")
try:
pricing_service = PricingService(db_val)
# Check Tavily usage limits
@@ -529,7 +539,8 @@ class ResearchService:
except Exception as e:
logger.warning(f"Error checking Tavily limits: {e}")
finally:
db_val.close()
if db_val:
db_val.close()
# Execute Tavily search
await task_manager.update_progress(task_id, "🤖 Executing Tavily AI search...")