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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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44
backend/services/writing_assistant.py
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@@ -2,9 +2,8 @@ import os
import asyncio
from typing import Any, Dict, List
from dataclasses import dataclass
import requests
import httpx
from loguru import logger
import time
import random
from services.llm_providers.main_text_generation import llm_text_gen
@@ -61,30 +60,26 @@ class WritingAssistantService:
logger.info(f"Writing assistant API call #{self.daily_api_calls}/{self.daily_limit} today")
return True
async def suggest(self, text: str, max_results: int = 1) -> List[WritingSuggestion]:
async def suggest(self, text: str, user_id: str | None = None) -> List[WritingSuggestion]:
if not text or len(text.strip()) < 6:
return []
# COST OPTIMIZATION: Use cached/static suggestions for common patterns
# This reduces API calls by 90%+ while maintaining usefulness
cached_suggestion = self._get_cached_suggestion(text)
if cached_suggestion:
return [cached_suggestion]
# COST CONTROL: Check daily usage limits
if not self._check_daily_limit():
logger.warning("Daily API limit reached for writing assistant")
return []
# Only make expensive API calls for unique, substantial content
if len(text.strip()) < 50: # Skip API calls for very short text
if len(text.strip()) < 50:
return []
# 1) Find relevant sources via Exa (reduced results for cost)
# 1) Find relevant sources via Exa
sources = await self._search_sources(text)
# 2) Generate continuation suggestion via Gemini
suggestion_text, confidence = await self._generate_continuation(text, sources)
# 2) Generate continuation suggestion via LLM grounded in sources
suggestion_text, confidence = await self._generate_continuation(text, sources, user_id=user_id)
if not suggestion_text:
return []
@@ -110,12 +105,12 @@ class WritingAssistantService:
}
try:
resp = requests.post(
"https://api.exa.ai/search",
headers={"x-api-key": self.exa_api_key, "Content-Type": "application/json"},
json=payload,
timeout=self.http_timeout_seconds,
)
async with httpx.AsyncClient(timeout=self.http_timeout_seconds) as client:
resp = await client.post(
"https://api.exa.ai/search",
headers={"x-api-key": self.exa_api_key, "Content-Type": "application/json"},
json=payload,
)
if resp.status_code != 200:
raise Exception(f"Exa error {resp.status_code}: {resp.text}")
data = resp.json()
@@ -140,8 +135,7 @@ class WritingAssistantService:
logger.error(f"WritingAssistant _search_sources error: {e}")
raise
async def _generate_continuation(self, text: str, sources: List[Dict[str, Any]]) -> tuple[str, float]:
# Build compact sources context block
async def _generate_continuation(self, text: str, sources: List[Dict[str, Any]], user_id: str | None = None) -> tuple[str, float]:
source_blocks: List[str] = []
for i, s in enumerate(sources[:5]):
excerpt = (s.get("text", "") or "")
@@ -149,16 +143,14 @@ class WritingAssistantService:
source_blocks.append(
f"Source {i+1}: {s.get('title','') or 'Source'}\nURL: {s.get('url','')}\nExcerpt: {excerpt}"
)
sources_text = "\n\n".join(source_blocks) if source_blocks else "(No sources)"
sources_text = "\n\n".join(source_blocks)
# Provider-agnostic behavior: short continuation with one inline citation hint
system_prompt = (
"You are an assistive writing continuation bot. "
"Only produce 1-2 SHORT sentences. Do not repeat or paraphrase the user's stub. "
"Match tone and topic. Prefer concrete, current facts from the provided sources. "
"Include exactly one brief citation hint in parentheses with an author (or 'Source') and URL in square brackets, e.g., ((Doe, 2021)[https://example.com])."
)
user_prompt = (
f"User text to continue (do not repeat):\n{text}\n\n"
f"Relevant sources to inform your continuation:\n{sources_text}\n\n"
@@ -166,13 +158,13 @@ class WritingAssistantService:
)
try:
# Inter-call jitter to reduce burst rate limits
time.sleep(random.uniform(0.05, 0.15))
await asyncio.sleep(random.uniform(0.05, 0.15))
ai_resp = llm_text_gen(
prompt=user_prompt,
json_struct=None,
system_prompt=system_prompt,
user_id=user_id,
)
if isinstance(ai_resp, dict) and ai_resp.get("text"):
suggestion = (ai_resp.get("text", "") or "").strip()
@@ -180,12 +172,10 @@ class WritingAssistantService:
suggestion = (str(ai_resp or "")).strip()
if not suggestion:
raise Exception("Assistive writer returned empty suggestion")
# naive confidence from number of sources present
confidence = 0.7 if sources else 0.5
confidence = 0.7
return suggestion, confidence
except Exception as e:
logger.error(f"WritingAssistant _generate_continuation error: {e}")
# Propagate to ensure frontend does not show stale/generic content
raise