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feat(podcast): add pre-estimate endpoint, enhance cost estimator with multi-model support, cleanup alpha pricing seeding

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- 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
This commit is contained in:
ajaysi
2026-05-06 15:29:12 +05:30
parent a7d2ef1c09
commit 3f984e8d0c
31 changed files with 4926 additions and 1011 deletions
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28
backend/api/podcast/handlers/trends.py
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@@ -18,6 +18,7 @@ class PodcastTrendsRequest(BaseModel):
keywords: List[str] = Field(..., min_length=1, max_length=5, description="1-5 keywords to analyze")
timeframe: str = Field(default="today 12-m", description="Timeframe: 'today 3-m', 'today 12-m', 'today 5-y', 'all'")
geo: str = Field(default="US", description="Country code: 'US', 'GB', 'IN', etc.")
source: str = Field(default="web", description="Data source: 'web' (Google), 'podcast' (YouTube)")
class PodcastTrendsResponse(BaseModel):
@@ -47,12 +48,39 @@ async def get_podcast_trends(
try:
service = GoogleTrendsService()
# Map 'source' to 'gprop' - 'podcast' uses YouTube for video/podcast relevance
gprop_map = {"": "", "web": "", "podcast": "youtube", "news": "news", "images": "images", "shopping": "froogle"}
gprop = gprop_map.get(request.source, "")
result = await service.analyze_trends(
keywords=request.keywords,
timeframe=request.timeframe,
geo=request.geo,
gprop=gprop,
user_id=user_id,
)
has_error = result.get("error")
has_data = (
len(result.get("interest_over_time", [])) > 0
or len(result.get("interest_by_region", [])) > 0
or len(result.get("related_topics", {}).get("top", [])) > 0
or len(result.get("related_topics", {}).get("rising", [])) > 0
or len(result.get("related_queries", {}).get("top", [])) > 0
or len(result.get("related_queries", {}).get("rising", [])) > 0
)
# Return error if: has error OR no data (meaning blocked/empty)
if has_error and not has_data:
error_msg = result.get("error", "")
logger.warning(f"[Trends] No data or error: {error_msg[:100]}")
return PodcastTrendsResponse(success=False, data=result, error=error_msg or "No trends data available. Google may be blocking requests.")
# Even if no error but empty data - return error
if not has_data:
logger.warning("[Trends] Empty data returned")
return PodcastTrendsResponse(success=False, data=result, error="No trends data available. Please try different keywords.")
return PodcastTrendsResponse(success=True, data=result)
except ValueError as e:
raise HTTPException(status_code=400, detail=str(e))