3f984e8d0c
- Add POST /podcast/pre-estimate endpoint for cost estimation before analysis - Enhance cost_estimator.py with multi-model support (gemini, audio, voice clone, image, video) - Add detailed cost breakdown (llm, audio, media costs + per-phase breakdown) - Remove redundant pricing seeding from init_alpha_subscription_tiers.py - Add SSOT pricing via PricingService.initialize_default_pricing() - Update TopicUrlInput tooltip to show estimate details - Add debug logging for pricing seeding and pre-estimate - Clean up verbose podcast mode debug logs in app.py
92 lines
3.7 KiB
Python
92 lines
3.7 KiB
Python
"""
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Podcast Trends Handler
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Endpoints for fetching Google Trends data relevant to podcast topics.
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"""
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from fastapi import APIRouter, Depends, HTTPException
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from typing import Dict, Any, List, Optional
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from pydantic import BaseModel, Field
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from loguru import logger
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from middleware.auth_middleware import get_current_user
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router = APIRouter(prefix="/trends", tags=["Podcast Trends"])
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class PodcastTrendsRequest(BaseModel):
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keywords: List[str] = Field(..., min_length=1, max_length=5, description="1-5 keywords to analyze")
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timeframe: str = Field(default="today 12-m", description="Timeframe: 'today 3-m', 'today 12-m', 'today 5-y', 'all'")
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geo: str = Field(default="US", description="Country code: 'US', 'GB', 'IN', etc.")
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source: str = Field(default="web", description="Data source: 'web' (Google), 'podcast' (YouTube)")
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class PodcastTrendsResponse(BaseModel):
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success: bool
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data: Optional[Dict[str, Any]] = None
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error: Optional[str] = None
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@router.post("", response_model=PodcastTrendsResponse)
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async def get_podcast_trends(
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request: PodcastTrendsRequest,
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current_user: Dict[str, Any] = Depends(get_current_user),
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):
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"""Fetch Google Trends data for podcast topic keywords."""
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user_id = current_user.get("user_id") or current_user.get("id")
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if not user_id:
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raise HTTPException(status_code=401, detail="User ID not found")
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try:
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from services.research.trends import GoogleTrendsService
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except (ImportError, RuntimeError) as e:
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logger.error(f"[Podcast Trends] GoogleTrendsService unavailable: {e}")
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raise HTTPException(
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status_code=503,
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detail="Google Trends service is currently unavailable. Please try again later."
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)
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try:
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service = GoogleTrendsService()
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# Map 'source' to 'gprop' - 'podcast' uses YouTube for video/podcast relevance
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gprop_map = {"": "", "web": "", "podcast": "youtube", "news": "news", "images": "images", "shopping": "froogle"}
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gprop = gprop_map.get(request.source, "")
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result = await service.analyze_trends(
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keywords=request.keywords,
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timeframe=request.timeframe,
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geo=request.geo,
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gprop=gprop,
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user_id=user_id,
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)
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has_error = result.get("error")
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has_data = (
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len(result.get("interest_over_time", [])) > 0
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or len(result.get("interest_by_region", [])) > 0
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or len(result.get("related_topics", {}).get("top", [])) > 0
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or len(result.get("related_topics", {}).get("rising", [])) > 0
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or len(result.get("related_queries", {}).get("top", [])) > 0
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or len(result.get("related_queries", {}).get("rising", [])) > 0
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)
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# Return error if: has error OR no data (meaning blocked/empty)
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if has_error and not has_data:
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error_msg = result.get("error", "")
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logger.warning(f"[Trends] No data or error: {error_msg[:100]}")
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return PodcastTrendsResponse(success=False, data=result, error=error_msg or "No trends data available. Google may be blocking requests.")
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# Even if no error but empty data - return error
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if not has_data:
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logger.warning("[Trends] Empty data returned")
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return PodcastTrendsResponse(success=False, data=result, error="No trends data available. Please try different keywords.")
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return PodcastTrendsResponse(success=True, data=result)
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except ValueError as e:
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raise HTTPException(status_code=400, detail=str(e))
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except Exception as e:
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logger.error(f"[Podcast Trends] Error fetching trends for {request.keywords}: {e}")
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raise HTTPException(
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status_code=500,
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detail=f"Failed to fetch trends data: {str(e)}"
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) |