feat: Brainstorm Topics with GSC + Issue #518 fixes + Blog Editor enhancements
Issue #518 - Subscription not updating after checkout: - Fix stale closure in SubscriptionContext checkout polling (use subscriptionRef) - Move checkout success polling from InitialRouteHandler into SubscriptionContext - Remove redundant polling code from InitialRouteHandler - Fix plan label: 'Free' instead of 'No Plan', proper capitalization - Add plan refresh button in UserBadge - Add 'View Costing Details' to UserBadge dropdown - Rename 'ALwrity Podcast Maker' to 'Podcast Creator' across UI - Clean subscription=success URL param after verification Blog Writer WYSIWYG Editor enhancements: - Per-section preview toggle (view/edit icons) - Enhanced hover-based toolbar - Circular SVG progress stats bar with detailed tooltip - Research tool chips in stats bar footer - Per-section TTS with useTextToSpeech hook (browser native) - Full blog preview modal with print/PDF support - PlayAllTTSButton: sequential playback with progress bar - OnThisPageNav: floating sidebar with scroll tracking - Section data attributes for scroll anchoring GSC Brainstorm Topics feature: - Backend: gsc_brainstorm_service.py (rule-based + LLM recommendations) - Backend: POST /gsc/brainstorm endpoint with 3-word minimum validation - Frontend: gscBrainstorm.ts API client - Frontend: useGSCBrainstormConnection hook (popup OAuth, no /onboarding redirect) - Frontend: useGSCBrainstorm hook (connect check + brainstorm call) - Frontend: GSCBrainstormModal (3-tab results: Opportunities, Gaps, AI Recs) - Frontend: BrainstormButton (visible at 3+ words, GSC connect overlay) - Wire BrainstormButton into ManualResearchForm and ResearchAction - Add blog_writer to gsc_auth router features for ALWRITY_ENABLED_FEATURES
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ajaysi
@@ -2,7 +2,6 @@ import os
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import asyncio
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from typing import Any, Dict, List
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from dataclasses import dataclass
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import httpx
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from loguru import logger
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import random
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@@ -24,13 +23,6 @@ class WritingAssistantService:
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"""
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def __init__(self) -> None:
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self.exa_api_key = os.getenv("EXA_API_KEY")
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if not self.exa_api_key:
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logger.warning("EXA_API_KEY not configured; writing assistant will fail")
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self.http_timeout_seconds = 15
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# COST CONTROL: Daily usage limits
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self.daily_api_calls = 0
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self.daily_limit = 50 # Max 50 API calls per day (~$2.50 max cost)
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@@ -76,7 +68,7 @@ class WritingAssistantService:
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return []
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# 1) Find relevant sources via Exa
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sources = await self._search_sources(text)
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sources = await self._search_sources(text, user_id=user_id)
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# 2) Generate continuation suggestion via LLM grounded in sources
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suggestion_text, confidence = await self._generate_continuation(text, sources, user_id=user_id)
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@@ -86,51 +78,38 @@ class WritingAssistantService:
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return [WritingSuggestion(text=suggestion_text.strip(), confidence=confidence, sources=sources)]
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async def _search_sources(self, text: str) -> List[Dict[str, Any]]:
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if not self.exa_api_key:
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raise Exception("EXA_API_KEY not configured")
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# Follow Exa demo guidance: continuation-style prompt and 1000-char cap
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exa_query = (
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(text[-1000:] if len(text) > 1000 else text)
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+ "\n\nIf you found the above interesting, here's another useful resource to read:"
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)
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payload = {
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"query": exa_query,
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"numResults": 3, # Reduced from 5 to 3 for cost savings
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"text": True,
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"type": "neural",
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"highlights": {"numSentences": 1, "highlightsPerUrl": 1},
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}
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async def _search_sources(self, text: str, user_id: str = None) -> List[Dict[str, Any]]:
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"""Search for relevant sources using ExaResearchProvider with subscription checks."""
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try:
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async with httpx.AsyncClient(timeout=self.http_timeout_seconds) as client:
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resp = await client.post(
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"https://api.exa.ai/search",
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headers={"x-api-key": self.exa_api_key, "Content-Type": "application/json"},
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json=payload,
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)
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if resp.status_code != 200:
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raise Exception(f"Exa error {resp.status_code}: {resp.text}")
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data = resp.json()
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results = data.get("results", [])
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sources: List[Dict[str, Any]] = []
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for r in results:
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sources.append(
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{
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"title": r.get("title", "Untitled"),
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"url": r.get("url", ""),
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"text": r.get("text", ""),
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"author": r.get("author", ""),
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"published_date": r.get("publishedDate", ""),
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"score": float(r.get("score", 0.5)),
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}
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)
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# Explicitly fail if no sources to avoid generic completions
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if not sources:
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from services.blog_writer.research.exa_provider import ExaResearchProvider
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exa_query = (
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(text[-1000:] if len(text) > 1000 else text)
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+ "\n\nIf you found the above interesting, here's another useful resource to read:"
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)
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provider = ExaResearchProvider()
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sources = await provider.simple_search(
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query=exa_query,
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num_results=3,
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user_id=user_id,
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)
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# Normalize keys to match expected format
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normalized = []
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for s in sources:
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normalized.append({
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"title": s.get("title", "Untitled"),
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"url": s.get("url", ""),
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"text": s.get("text", ""),
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"author": s.get("author", ""),
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"published_date": s.get("publishedDate", ""),
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"score": float(s.get("score", 0.5)),
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})
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if not normalized:
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raise Exception("No relevant sources found from Exa for the current context")
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return sources
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return normalized
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except Exception as e:
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logger.error(f"WritingAssistant _search_sources error: {e}")
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raise
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